diff --git a/CHANGELOG.md b/CHANGELOG.md index cd4728a21e..93df5fb4b9 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -49,6 +49,7 @@ #### Bug Fixes - Fixed an issue with drop_duplicates where the same data source could be read multiple times in the same query but in a different order each time, resulting in missing rows in the final result. The fix ensures that the data source is read only once. +- Fixed a bug with hybrid execution mode where an `AssertionError` was unexpectedly raised by certain indexing operations. ### Snowpark Local Testing Updates diff --git a/src/snowflake/snowpark/modin/plugin/_internal/utils.py b/src/snowflake/snowpark/modin/plugin/_internal/utils.py index 00c90a35c3..e0c2a5067b 100644 --- a/src/snowflake/snowpark/modin/plugin/_internal/utils.py +++ b/src/snowflake/snowpark/modin/plugin/_internal/utils.py @@ -12,6 +12,7 @@ from packaging import version # noqa: E402,F401 import modin.pandas as pd +from modin.config import context as config_context import numpy as np import pandas as native_pd from pandas._typing import AnyArrayLike, Scalar @@ -2259,3 +2260,29 @@ def add_extra_columns_and_select_required_columns( # explicitly drop the unwanted columns. This also ensures that the columns in the resultant DataFrame are in the # same order as the columns in the `columns` parameter. return query_compiler.take_2d_labels(slice(None), columns) + + +def new_snow_series(*args: Any, **kwargs: Any) -> pd.Series: + """ + Create a new modin Series, guaranteed to use the Snowpark pandas backend. + + This is necessary to prevent accidental backend switching when a modin Series is created in an + internal helper function, which may otherwise incorrectly produce a NativeQueryCompiler. + + See SNOW-2084670 and SNOW-2331021 for examples of such failures. + """ + with config_context(AutoSwitchBackend=False): + return pd.Series(*args, **kwargs) + + +def new_snow_df(*args: Any, **kwargs: Any) -> pd.DataFrame: + """ + Create a new modin DataFrame, guaranteed to use the Snowpark pandas backend. + + This is necessary to prevent accidental backend switching when modin a DataFrame is created in an + internal helper function, which may otherwise incorrectly produce a NativeQueryCompiler. + + See SNOW-2084670 and SNOW-2331021 for examples of such failures. + """ + with config_context(AutoSwitchBackend=False): + return pd.DataFrame(*args, **kwargs) diff --git a/src/snowflake/snowpark/modin/plugin/compiler/snowflake_query_compiler.py b/src/snowflake/snowpark/modin/plugin/compiler/snowflake_query_compiler.py index fde971f271..82cb154609 100644 --- a/src/snowflake/snowpark/modin/plugin/compiler/snowflake_query_compiler.py +++ b/src/snowflake/snowpark/modin/plugin/compiler/snowflake_query_compiler.py @@ -351,6 +351,7 @@ unpivot_empty_df, ) from snowflake.snowpark.modin.plugin._internal.utils import ( + new_snow_series, INDEX_LABEL, ROW_COUNT_COLUMN_LABEL, ROW_POSITION_COLUMN_LABEL, @@ -1205,7 +1206,7 @@ def from_date_range( delta = end.value * 1.0 - start.value # type: ignore[union-attr] if div == 0: # Only 1 period, just return the start value - ns_values = pd.Series([start.value])._query_compiler # type: ignore[union-attr] + ns_values = new_snow_series([start.value])._query_compiler # type: ignore[union-attr] else: stride = delta / div # Make sure end is included in this case @@ -1213,7 +1214,7 @@ def from_date_range( ns_values = generator_utils.generate_range(start.value, e, stride) # type: ignore[union-attr] dt_values = ns_values.series_to_datetime() - dt_series = pd.Series(query_compiler=dt_values) + dt_series = new_snow_series(query_compiler=dt_values) if remove_non_business_days: dt_series = dt_series[dt_series.dt.dayofweek < 5] if not left_inclusive or not right_inclusive: @@ -3266,7 +3267,7 @@ def _reindex_axis_0( if isinstance(labels, pd.Index): new_index_qc = labels.to_series()._query_compiler else: - new_index_qc = pd.Series(labels)._query_compiler + new_index_qc = new_snow_series(labels)._query_compiler new_index_modin_frame = new_index_qc._modin_frame modin_frame = self._modin_frame @@ -6857,7 +6858,7 @@ def agg( ) if len(query_compiler.columns) == 0: - return pd.Series()._query_compiler + return new_snow_series()._query_compiler internal_frame = query_compiler._modin_frame @@ -10663,13 +10664,10 @@ def _take_2d_labels_internal( if is_scalar(index): index = (index,) elif is_scalar(index): - # SNOW-2084670 - # Force this query compiler to be an SFQC, since with auto-switch behavior - # it may become a NativeQueryCompiler. - index = pd.Series([index]).set_backend("Snowflake")._query_compiler + index = new_snow_series([index])._query_compiler # convert list like to series elif is_list_like(index): - index = pd.Series(index).set_backend("Snowflake") + index = new_snow_series(index) if index.dtype == "bool": # boolean list like indexer is always select rows by row position return SnowflakeQueryCompiler( @@ -12070,7 +12068,7 @@ def _fillna_with_masking( not self_is_series and isinstance(value, pd.DataFrame) ): if isinstance(value, dict): - value = pd.Series(value) + value = new_snow_series(value) return self.where(cond=self.notna(), other=value._query_compiler) # case 2: fillna with a method @@ -12370,7 +12368,7 @@ def setitem( ) # create series out of key and insert - value = pd.Series(value)._query_compiler + value = new_snow_series(value)._query_compiler return self.insert(loc, key, value, True, replace=True) diff --git a/src/snowflake/snowpark/modin/plugin/extensions/indexing_overrides.py b/src/snowflake/snowpark/modin/plugin/extensions/indexing_overrides.py index 9195fdf81b..e645dcc34a 100644 --- a/src/snowflake/snowpark/modin/plugin/extensions/indexing_overrides.py +++ b/src/snowflake/snowpark/modin/plugin/extensions/indexing_overrides.py @@ -61,6 +61,7 @@ from pandas.core.indexing import IndexingError import snowflake.snowpark.modin.plugin.extensions.utils as frontend_utils +from snowflake.snowpark.modin.plugin._internal.utils import new_snow_series, new_snow_df from snowflake.snowpark.modin.plugin._internal.indexing_utils import ( MULTIPLE_ELLIPSIS_INDEXING_ERROR_MESSAGE, TOO_FEW_INDEXERS_INDEXING_ERROR_MESSAGE, @@ -1015,7 +1016,7 @@ def __setitem__( # If the row key is list-like (Index, list, np.ndarray, etc.), convert it to Series. if not isinstance(row_loc, pd.Series) and is_list_like(row_loc): - row_loc = pd.Series(row_loc) + row_loc = new_snow_series(row_loc) matching_item_columns_by_label = self._loc_set_matching_item_columns_by_label( key, item @@ -1040,7 +1041,7 @@ def __setitem__( else col_loc ) if item_is_2d_array: - item = pd.DataFrame(item) + item = new_snow_df(item) frame_is_df_and_item_is_series = isinstance(item, pd.Series) and isinstance( self.df, pd.DataFrame ) @@ -1209,7 +1210,7 @@ def __getitem__( dtype = float else: dtype = None - row_loc = pd.Series(row_loc, dtype=dtype) + row_loc = new_snow_series(row_loc, dtype=dtype) # Check whether the row and column input is of numeric dtype. self._validate_numeric_get_key_values(row_loc, original_row_loc) @@ -1331,10 +1332,10 @@ def __setitem__( item = item.flatten()[0] else: if item.ndim == 1: - item = pd.Series(item) + item = new_snow_series(item) is_item_series = True else: - item = pd.DataFrame(item) + item = new_snow_df(item) is_row_key_df = isinstance(row_loc, pd.DataFrame) is_col_key_df = isinstance(col_loc, pd.DataFrame) diff --git a/tests/integ/modin/conftest.py b/tests/integ/modin/conftest.py index a50927543f..4e46b06721 100644 --- a/tests/integ/modin/conftest.py +++ b/tests/integ/modin/conftest.py @@ -57,14 +57,17 @@ def read_hybrid_known_failures(): pytest tests/integ/modin -n 10 --enable_modin_hybrid_mode --csv tests/integ/modin/modin_hybrid_integ_results.csv - * (Recommended) Pre-Filtering the results to reduce the file size: + * Pre-filtering and sorting the results to reduce the file and diff size: import pandas as pd df = pd.read_csv("tests/integ/modin/modin_hybrid_integ_results.csv") filtered = df[["module", "name", "message", "status"]][ - df["status"].isin(["failed", "xfailed", "error"]) - ] - filtered.to_csv("tests/integ/modin/modin_hybrid_integ_results.csv") + df["status"].isin(["failed", "xfailed", "error"]) + ] + filtered = filtered.sort_values(by=["module", "name"]) + filtered.to_csv("tests/integ/modin/modin_hybrid_integ_results.csv", index=False) """ + if not os.path.exists("../modin/modin_hybrid_integ_results.csv"): + return pandas.DataFrame([], columns=["module", "name", "message", "status"]) HYBRID_RESULTS_PATH = os.path.normpath( os.path.join( os.path.dirname(__file__), "../modin/modin_hybrid_integ_results.csv" diff --git a/tests/integ/modin/hybrid/test_switch_operations.py b/tests/integ/modin/hybrid/test_switch_operations.py index 78fa9e8cfe..1c56966845 100644 --- a/tests/integ/modin/hybrid/test_switch_operations.py +++ b/tests/integ/modin/hybrid/test_switch_operations.py @@ -33,6 +33,7 @@ from snowflake.snowpark.modin.plugin.utils.warning_message import WarningMessage from snowflake.snowpark.modin.plugin.extensions.datetime_index import DatetimeIndex from tests.integ.utils.sql_counter import sql_count_checker +from tests.integ.modin.utils import assert_snowpark_pandas_equal_to_pandas # snowflake-ml-python, which provides snowflake.cortex, may not be available in # the test environment. If it's not available, skip all tests in this module. @@ -591,3 +592,19 @@ def test_applying_cortex_function_causes_backend_switch(self, data_class, method sentiment = method(pandas_backend_data, Sentiment) assert sentiment.get_backend() == "Snowflake" sentiment.to_pandas() + + +@sql_count_checker(query_count=1, join_count=2) +def test_switch_then_iloc(): + # Switching backends then calling iloc should be valid. + # Prior to fixing SNOW-2331021, discrepancies with the index class caused an AssertionError. + df = pd.DataFrame([[0] * 10] * 10) + assert df.get_backend() == "Pandas" + # Should not error + assert_snowpark_pandas_equal_to_pandas( + df.move_to("Snowflake").iloc[[1, 3, 9], 1], + df.iloc[[1, 3, 9], 1].to_pandas(), + ) + # Setting should similarly not error + df.iloc[1, 1] = 100 + assert df.iloc[1, 1] == 100 diff --git a/tests/integ/modin/modin_hybrid_integ_results.csv b/tests/integ/modin/modin_hybrid_integ_results.csv index c214000e98..c6530ce12b 100644 --- a/tests/integ/modin/modin_hybrid_integ_results.csv +++ b/tests/integ/modin/modin_hybrid_integ_results.csv @@ -1,5997 +1,7470 @@ -,module,name,message,status -17,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[ndarray1-truediv],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -30,tests.integ.modin.frame.test_dtypes,test_nullable_extension[dataframe_input5-Int16-snowpark_dtype5-logical_dtype5],"AssertionError: assert Int16Dtype() == dtype('int64') - + where Int16Dtype() = 0 1\n1 2\n2 \ndtype: Int16.dtype",failed -32,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[ndarray1-rtruediv],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -35,tests.integ.modin.frame.test_dtypes,test_nullable_extension[dataframe_input6-UInt16-snowpark_dtype6-logical_dtype6],"AssertionError: assert UInt16Dtype() == dtype('int64') - + where UInt16Dtype() = 0 1\n1 2\n2 \ndtype: UInt16.dtype",failed -40,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False--8-52879115],IndexError: index -8 is out of bounds for axis 0 with size 7,failed -42,tests.integ.modin.frame.test_dtypes,test_nullable_extension[dataframe_input7-Int8-snowpark_dtype7-logical_dtype7],"AssertionError: assert Int8Dtype() == dtype('int64') - + where Int8Dtype() = 0 1\n1 2\n2 \ndtype: Int8.dtype",failed -48,tests.integ.modin.frame.test_dtypes,test_nullable_extension[dataframe_input8-UInt8-snowpark_dtype8-logical_dtype8],"AssertionError: assert UInt8Dtype() == dtype('int64') - + where UInt8Dtype() = 0 1\n1 2\n2 \ndtype: UInt8.dtype",failed -53,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[ndarray1-floordiv],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -55,tests.integ.modin.frame.test_dtypes,test_nullable_extension[dataframe_input9-Float32-snowpark_dtype9-logical_dtype9],"AssertionError: assert Float32Dtype() == dtype('float64') - + where Float32Dtype() = 0 1.0\n1 2.0\n2 \ndtype: Float32.dtype",failed -63,tests.integ.modin.frame.test_dtypes,test_nullable_extension[dataframe_input10-Float64-snowpark_dtype10-logical_dtype10],"AssertionError: assert Float64Dtype() == dtype('float64') - + where Float64Dtype() = 0 1.0\n1 2.0\n2 \ndtype: Float64.dtype",failed -64,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False--8--9028751],IndexError: index -9028751 is out of bounds for axis 0 with size 7,failed -69,tests.integ.modin.frame.test_dtypes,test_nullable_extension[dataframe_input11-Int64-snowpark_dtype11-logical_dtype11],"AssertionError: assert Int64Dtype() == dtype('int64') - + where Int64Dtype() = 0 1\n1 2\n2 \n3 \n4 \ndtype: Int64.dtype",failed -74,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[ndarray1-rfloordiv],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -76,tests.integ.modin.frame.test_dtypes,test_nullable_extension[dataframe_input12-Float64-snowpark_dtype12-logical_dtype12],"AssertionError: assert Float64Dtype() == dtype('float64') - + where Float64Dtype() = 0 1.0\n1 2.0\n2 \n3 \n4 NaN\n5 \ndtype: Float64.dtype",failed -88,tests.integ.modin.frame.test_dtypes,test_extended_float64_with_nan,AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed -91,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False-7-0],IndexError: positional indexers are out-of-bounds,failed -94,tests.integ.modin.frame.test_dtypes,test_float[dataframe_input0-input_dtype0-expected_dtype0-logical_dtype0],"AssertionError: assert dtype('float16') == dtype('float64') - + where dtype('float16') = 0 1.099609\n1 2.199219\n2 3.300781\ndtype: float16.dtype",failed -101,tests.integ.modin.frame.test_dtypes,test_float[dataframe_input1-input_dtype1-expected_dtype1-logical_dtype1],"AssertionError: assert dtype('float32') == dtype('float64') - + where dtype('float32') = 0 1.1\n1 2.2\n2 3.3\ndtype: float32.dtype",failed -118,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False-7--3],IndexError: positional indexers are out-of-bounds,failed -124,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[ndarray1-mod],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -135,tests.integ.modin.frame.test_dtypes,test_string_explicit[dataframe_input0-string-index0],"AssertionError: assert string[python] == - + where string[python] = 0 a\n1 b\n2 c\ndtype: string.dtype - + and = np.object_",failed -142,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[ndarray1-rmod],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -160,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[ndarray1-pow],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -164,tests.integ.modin.frame.test_dtypes,"test_time[dataframe_input2-datetime64[ns, America/Los_Angeles]-datetime64[ns, UTC-08:00]-datetime64[ns, UTC-08:00]]","AssertionError: assert datetime64[ns, America/Los_Angeles] == 'datetime64[ns, UTC-08:00]' - + where datetime64[ns, America/Los_Angeles] = 0 2017-12-15 19:02:35-08:00\n1 2017-12-15 19:02:35-08:00\ndtype: datetime64[ns, America/Los_Angeles].dtype",failed -166,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False-7-4],IndexError: positional indexers are out-of-bounds,failed -170,tests.integ.modin.frame.test_dtypes,test_time[dataframe_input3-object-datetime64[ns]-datetime64[ns]],"AssertionError: assert dtype('O') == 'datetime64[ns]' - + where dtype('O') = 0 2017-12-16 03:02:35\n1 2017-12-16 03:02:35\n2 None\ndtype: object.dtype",failed -175,tests.integ.modin.frame.test_dtypes,"test_time[dataframe_input4-object-datetime64[ns, UTC-08:00]-datetime64[ns, UTC-08:00]]","AssertionError: assert dtype('O') == 'datetime64[ns, UTC-08:00]' - + where dtype('O') = 0 2017-12-15 19:02:35-08:00\n1 None\n2 NaT\n3 2017-12-15 19:02:35-08:00\ndtype: object.dtype",failed -179,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[ndarray1-rpow],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -194,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False-7--7],IndexError: positional indexers are out-of-bounds,failed -195,tests.integ.modin.frame.test_dtypes,test_object[dataframe_input0-snowpark_dtype0],AttributeError: 'DataFrame' object has no attribute 'get_snowflake_type',failed -199,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index1-add],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -206,tests.integ.modin.frame.test_dtypes,test_object[dataframe_input1-snowpark_dtype1],AttributeError: 'DataFrame' object has no attribute 'get_snowflake_type',failed -215,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index1-radd],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -218,tests.integ.modin.frame.test_dtypes,test_object[dataframe_input2-snowpark_dtype2],AttributeError: 'DataFrame' object has no attribute 'get_snowflake_type',failed -219,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False-7-6],IndexError: positional indexers are out-of-bounds,failed -228,tests.integ.modin.frame.test_dtypes,test_empty[input_dtype0-expected_dtype0-snowpark_dtype0-to_pandas_dtype0],AttributeError: 'DataFrame' object has no attribute 'get_snowflake_type',failed -239,tests.integ.modin.frame.test_dtypes,test_empty[input_dtype1-expected_dtype1-snowpark_dtype1-to_pandas_dtype1],AttributeError: 'DataFrame' object has no attribute 'get_snowflake_type',failed -241,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False-7--6],IndexError: positional indexers are out-of-bounds,failed -246,tests.integ.modin.test_apply_persist,test_apply_existing_udf,TypeError: test_apply_existing_udf..dummy() got an unexpected keyword argument 'snowflake_udf_params',failed -254,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index1-sub],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -255,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False-7--8],IndexError: index -8 is out of bounds for axis 0 with size 7,failed -267,tests.integ.modin.test_apply_persist,test_apply_or_map_permanent_def[apply],TypeError: test_apply_or_map_permanent_def..double() got an unexpected keyword argument 'snowflake_udf_params',failed -269,tests.integ.modin.frame.test_dtypes,test_empty[input_dtype2-expected_dtype2-snowpark_dtype2-to_pandas_dtype2],AttributeError: 'DataFrame' object has no attribute 'get_snowflake_type',failed -271,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index1-rsub],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -276,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False-7-7],IndexError: positional indexers are out-of-bounds,failed -280,tests.integ.modin.frame.test_dtypes,test_empty[None-expected_dtype3-snowpark_dtype3-to_pandas_dtype3],AttributeError: 'DataFrame' object has no attribute 'get_snowflake_type',failed -286,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index1-mul],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -295,tests.integ.modin.test_apply_persist,test_apply_or_map_permanent_def[map],TypeError: test_apply_or_map_permanent_def..double() got an unexpected keyword argument 'snowflake_udf_params',failed -298,tests.integ.modin.frame.test_dtypes,test_unsupported_dtype_raises[input_data0-category-category],Failed: DID NOT RAISE ,failed -303,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index1-rmul],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -304,tests.integ.modin.frame.test_dtypes,test_unsupported_dtype_raises[input_data1-category-category],Failed: DID NOT RAISE ,failed -309,tests.integ.modin.frame.test_dtypes,test_unsupported_dtype_raises[input_data2-None-period\\[s\\]],Failed: DID NOT RAISE ,failed -317,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index1-truediv],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -319,tests.integ.modin.frame.test_dtypes,test_str_float_type_with_nan[input_data0-None-expected_dtype0-snowpark_dtype0-to_pandas_dtype0],AttributeError: 'DataFrame' object has no attribute 'get_snowflake_type',failed -322,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False-7-52879115],IndexError: positional indexers are out-of-bounds,failed -327,tests.integ.modin.frame.test_dtypes,test_str_float_type_with_nan[input_data1-input_dtype1-expected_dtype1-snowpark_dtype1-to_pandas_dtype1],AttributeError: 'DataFrame' object has no attribute 'get_snowflake_type',failed -331,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index1-rtruediv],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -335,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False-7--9028751],IndexError: index -9028751 is out of bounds for axis 0 with size 7,failed -338,tests.integ.modin.frame.test_dtypes,test_str_float_type_with_nan[input_data2-input_dtype2-expected_dtype2-snowpark_dtype2-to_pandas_dtype2],AttributeError: 'DataFrame' object has no attribute 'get_snowflake_type',failed -340,tests.integ.modin.test_apply_persist,test_apply_permanent_lambda,TypeError: test_apply_permanent_lambda..() got an unexpected keyword argument 'snowflake_udf_params',failed -355,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False-52879115-0],IndexError: positional indexers are out-of-bounds,failed -365,tests.integ.modin.test_apply_persist,test_apply_named_udf_negative,TypeError: test_apply_named_udf_negative..identity() got an unexpected keyword argument 'snowflake_udf_params',failed -372,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index1-floordiv],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -378,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False-52879115--3],IndexError: positional indexers are out-of-bounds,failed -382,tests.integ.modin.test_to_numpy,test_variant_data_to_numpy[DataFrame],"AssertionError: -Arrays are not equal +module,name,message,status +tests.integ.modin.binary.test_binary_not_implemented,test_binary_op_dot[-DataFrame0],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_not_implemented,test_binary_op_dot[-DataFrame1],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_not_implemented,test_binary_op_dot[-Series0],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_not_implemented,test_binary_op_dot[-Series1],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_not_implemented,test_binary_op_xor[0],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_not_implemented,test_binary_op_xor[1],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series[floordiv-rhs2-lhs0],TypeError: boolean value of NA is ambiguous,failed +tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series[floordiv-rhs2-lhs1],TypeError: boolean value of NA is ambiguous,failed +tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series[floordiv-rhs2-lhs2],TypeError: boolean value of NA is ambiguous,failed +tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series[floordiv-rhs2-lhs3],TypeError: boolean value of NA is ambiguous,failed +tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series[floordiv-rhs3-lhs0],TypeError: boolean value of NA is ambiguous,failed +tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series[floordiv-rhs3-lhs1],TypeError: boolean value of NA is ambiguous,failed +tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series[floordiv-rhs3-lhs2],TypeError: boolean value of NA is ambiguous,failed +tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series[floordiv-rhs3-lhs3],TypeError: boolean value of NA is ambiguous,failed +tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series_div_by_zero_negative[floordiv-rhs0-lhs0],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series_div_by_zero_negative[floordiv-rhs0-lhs1],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series_div_by_zero_negative[floordiv-rhs0-lhs2],ZeroDivisionError: float floor division by zero,failed +tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series_div_by_zero_negative[floordiv-rhs0-lhs3],ZeroDivisionError: float floor division by zero,failed +tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series_div_by_zero_negative[floordiv-rhs0-lhs4],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series_div_by_zero_negative[floordiv-rhs1-lhs0],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series_div_by_zero_negative[floordiv-rhs1-lhs1],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series_div_by_zero_negative[floordiv-rhs1-lhs2],ZeroDivisionError: float floor division by zero,failed +tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series_div_by_zero_negative[floordiv-rhs1-lhs3],ZeroDivisionError: float floor division by zero,failed +tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series_div_by_zero_negative[floordiv-rhs1-lhs4],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series_div_by_zero_negative[floordiv-rhs2-lhs0],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series_div_by_zero_negative[floordiv-rhs2-lhs1],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series_div_by_zero_negative[floordiv-rhs2-lhs2],ZeroDivisionError: float floor division by zero,failed +tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series_div_by_zero_negative[floordiv-rhs2-lhs3],ZeroDivisionError: float floor division by zero,failed +tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series_div_by_zero_negative[floordiv-rhs2-lhs4],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series_div_by_zero_negative[floordiv-rhs3-lhs0],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series_div_by_zero_negative[floordiv-rhs3-lhs1],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series_div_by_zero_negative[floordiv-rhs3-lhs2],ZeroDivisionError: float floor division by zero,failed +tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series_div_by_zero_negative[floordiv-rhs3-lhs3],ZeroDivisionError: float floor division by zero,failed +tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series_div_by_zero_negative[floordiv-rhs3-lhs4],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series_div_by_zero_negative[truediv-rhs0-lhs0],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series_div_by_zero_negative[truediv-rhs0-lhs1],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series_div_by_zero_negative[truediv-rhs0-lhs2],ZeroDivisionError: float division by zero,failed +tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series_div_by_zero_negative[truediv-rhs0-lhs3],ZeroDivisionError: float division by zero,failed +tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series_div_by_zero_negative[truediv-rhs0-lhs4],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series_div_by_zero_negative[truediv-rhs1-lhs0],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series_div_by_zero_negative[truediv-rhs1-lhs1],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series_div_by_zero_negative[truediv-rhs1-lhs2],ZeroDivisionError: float division by zero,failed +tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series_div_by_zero_negative[truediv-rhs1-lhs3],ZeroDivisionError: float division by zero,failed +tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series_div_by_zero_negative[truediv-rhs1-lhs4],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series_div_by_zero_negative[truediv-rhs2-lhs0],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series_div_by_zero_negative[truediv-rhs2-lhs1],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series_div_by_zero_negative[truediv-rhs2-lhs2],ZeroDivisionError: float division by zero,failed +tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series_div_by_zero_negative[truediv-rhs2-lhs3],ZeroDivisionError: float division by zero,failed +tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series_div_by_zero_negative[truediv-rhs2-lhs4],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series_div_by_zero_negative[truediv-rhs3-lhs0],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series_div_by_zero_negative[truediv-rhs3-lhs1],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series_div_by_zero_negative[truediv-rhs3-lhs2],ZeroDivisionError: float division by zero,failed +tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series_div_by_zero_negative[truediv-rhs3-lhs3],ZeroDivisionError: float division by zero,failed +tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series_div_by_zero_negative[truediv-rhs3-lhs4],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_ops_between_series_with_booleans_negative[add-rhs0-lhs0],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_ops_between_series_with_booleans_negative[add-rhs1-lhs0],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_ops_between_series_with_booleans_negative[add-rhs2-lhs0],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_ops_between_series_with_booleans_negative[floordiv-rhs0-lhs0],ZeroDivisionError: integer division or modulo by zero,failed +tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_ops_between_series_with_booleans_negative[floordiv-rhs1-lhs0],ZeroDivisionError: float floor division by zero,failed +tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_ops_between_series_with_booleans_negative[floordiv-rhs2-lhs0],TypeError: boolean value of NA is ambiguous,failed +tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_ops_between_series_with_booleans_negative[mul-rhs0-lhs0],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_ops_between_series_with_booleans_negative[mul-rhs1-lhs0],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_ops_between_series_with_booleans_negative[mul-rhs2-lhs0],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_ops_between_series_with_booleans_negative[radd-rhs0-lhs0],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_ops_between_series_with_booleans_negative[radd-rhs1-lhs0],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_ops_between_series_with_booleans_negative[radd-rhs2-lhs0],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_ops_between_series_with_booleans_negative[rfloordiv-rhs0-lhs0],ZeroDivisionError: integer division or modulo by zero,failed +tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_ops_between_series_with_booleans_negative[rfloordiv-rhs1-lhs0],ZeroDivisionError: float floor division by zero,failed +tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_ops_between_series_with_booleans_negative[rfloordiv-rhs2-lhs0],ZeroDivisionError: float floor division by zero,failed +tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_ops_between_series_with_booleans_negative[rmul-rhs0-lhs0],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_ops_between_series_with_booleans_negative[rmul-rhs1-lhs0],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_ops_between_series_with_booleans_negative[rmul-rhs2-lhs0],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_ops_between_series_with_booleans_negative[rsub-rhs0-lhs0],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_ops_between_series_with_booleans_negative[rsub-rhs1-lhs0],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_ops_between_series_with_booleans_negative[rsub-rhs2-lhs0],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_ops_between_series_with_booleans_negative[rtruediv-rhs0-lhs0],ZeroDivisionError: division by zero,failed +tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_ops_between_series_with_booleans_negative[rtruediv-rhs1-lhs0],ZeroDivisionError: float division by zero,failed +tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_ops_between_series_with_booleans_negative[rtruediv-rhs2-lhs0],ZeroDivisionError: float division by zero,failed +tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_ops_between_series_with_booleans_negative[sub-rhs0-lhs0],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_ops_between_series_with_booleans_negative[sub-rhs1-lhs0],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_ops_between_series_with_booleans_negative[sub-rhs2-lhs0],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_ops_between_series_with_booleans_negative[truediv-rhs0-lhs0],ZeroDivisionError: division by zero,failed +tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_ops_between_series_with_booleans_negative[truediv-rhs1-lhs0],ZeroDivisionError: float division by zero,failed +tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_ops_between_series_with_booleans_negative[truediv-rhs2-lhs0],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_binary_add_dataframe_and_series_axis0[df0-s0],"AssertionError: DataFrame are different -Mismatched elements: 4 / 10 (40%) - x: array([[1], - [1.1], - ['snow'],... - y: array([[1], - [1.1], - ['snow'],...",failed -386,tests.integ.modin.test_to_numpy,test_variant_data_to_numpy[Series],"AssertionError: -Arrays are not equal - -Mismatched elements: 4 / 10 (40%) - x: array([1, 1.1, 'snow', b'snow', datetime.date(2023, 1, 1), - datetime.time(1, 2, 3, 1), datetime.datetime(2023, 1, 1, 0, 0), - list([1, 2]), {'snow': 'flake'}, None], dtype=object) - y: array([1, 1.1, 'snow', '736e6f77', '2023-01-01', '01:02:03.000001', - '2023-01-01T00:00:00', list([1, 2]), {'snow': 'flake'}, None], - dtype=object)",failed -387,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index1-rfloordiv],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -391,tests.integ.modin.test_apply_persist,test_grouby_apply_permanent,TypeError: test_grouby_apply_permanent..sum_plus_one() got an unexpected keyword argument 'snowflake_udf_params',failed -398,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False-52879115-4],IndexError: positional indexers are out-of-bounds,failed -400,tests.integ.modin.test_to_numpy,test_to_numpy_copy_true_series,"AssertionError: assert 'has been ignored by Snowpark pandas' in '' - + where '' = <_pytest.logging.LogCaptureFixture object at 0x33ac1d960>.text",failed -404,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index1-mod],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -412,tests.integ.modin.test_to_numpy,test_to_numpy_warning,"AssertionError: assert 'The current operation leads to materialization and can be slow if the data is large!' in '' - + where '' = <_pytest.logging.LogCaptureFixture object at 0x33abf9d50>.text",failed -417,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index1-rmod],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -429,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index1-pow],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -437,tests.integ.modin.test_apply_persist,test_apply_immutable,TypeError: test_apply_immutable..immutable_f() got an unexpected keyword argument 'snowflake_udf_params',failed -441,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False-52879115--7],IndexError: positional indexers are out-of-bounds,failed -446,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index1-rpow],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -462,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False-52879115-6],IndexError: positional indexers are out-of-bounds,failed -479,tests.integ.modin.test_unimplemented,test_unsupported_dataframe_methods[-cumprod0],Failed: DID NOT RAISE ,failed -483,tests.integ.modin.test_unimplemented,test_unsupported_dataframe_methods[-cumprod1],Failed: DID NOT RAISE ,failed -486,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False-52879115--6],IndexError: positional indexers are out-of-bounds,failed -487,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index_with_name1-add],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -496,tests.integ.modin.test_unimplemented,test_unsupported_series_methods[-transform],Failed: DID NOT RAISE ,failed -499,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False-52879115--8],IndexError: index -8 is out of bounds for axis 0 with size 7,failed -500,tests.integ.modin.test_unimplemented,test_unsupported_series_methods[-cumprod],Failed: DID NOT RAISE ,failed -502,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index_with_name1-radd],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -509,tests.integ.modin.test_unimplemented,test_unsupported_dataframe_binary_methods[-update],Failed: DID NOT RAISE ,failed -514,tests.integ.modin.test_unimplemented,test_unsupported_series_binary_methods[-update],Failed: DID NOT RAISE ,failed -517,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index_with_name1-sub],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -520,tests.integ.modin.test_unimplemented,test_unsupported_str_methods[-Series.rfind],Failed: DID NOT RAISE ,failed -526,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False-52879115-7],IndexError: positional indexers are out-of-bounds,failed -554,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index_with_name1-rsub],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -570,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False-52879115-52879115],IndexError: positional indexers are out-of-bounds,failed -585,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index_with_name1-mul],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -597,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index_with_name1-rmul],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -609,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False-52879115--9028751],IndexError: index -9028751 is out of bounds for axis 0 with size 7,failed -623,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False--9028751-0],IndexError: index -9028751 is out of bounds for axis 0 with size 7,failed -630,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index_with_name1-truediv],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -635,tests.integ.modin.test_unique,test_unique_series[native_series0],TypeError: assert_array_equal() got an unexpected keyword argument 'strict',failed -637,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False--9028751--3],IndexError: index -9028751 is out of bounds for axis 0 with size 7,failed -641,tests.integ.modin.test_unique,test_unique_series[native_series1],TypeError: assert_array_equal() got an unexpected keyword argument 'strict',failed -644,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index_with_name1-rtruediv],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -646,tests.integ.modin.test_unique,test_unique_series[native_series2],TypeError: assert_array_equal() got an unexpected keyword argument 'strict',failed -652,tests.integ.modin.test_unique,test_unique_series[native_series3],TypeError: assert_array_equal() got an unexpected keyword argument 'strict',failed -655,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False--9028751-4],IndexError: index -9028751 is out of bounds for axis 0 with size 7,failed -656,tests.integ.modin.test_unique,test_unique_series[native_series4],TypeError: assert_array_equal() got an unexpected keyword argument 'strict',failed -659,tests.integ.modin.test_unique,test_unique_series[native_series5],TypeError: assert_array_equal() got an unexpected keyword argument 'strict',failed -660,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index_with_name1-floordiv],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -663,tests.integ.modin.test_unique,test_unique_series[native_series6],TypeError: assert_array_equal() got an unexpected keyword argument 'strict',failed -668,tests.integ.modin.test_unique,test_unique_series[native_series7],TypeError: assert_array_equal() got an unexpected keyword argument 'strict',failed -671,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False--9028751--7],IndexError: index -9028751 is out of bounds for axis 0 with size 7,failed -675,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index_with_name1-rfloordiv],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -678,tests.integ.modin.test_unique,test_unique_series[native_series8],TypeError: assert_array_equal() got an unexpected keyword argument 'strict',failed -683,tests.integ.modin.test_unique,test_unique_series_reordered[native_series0],TypeError: assert_array_equal() got an unexpected keyword argument 'strict',failed -686,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False--9028751-6],IndexError: index -9028751 is out of bounds for axis 0 with size 7,failed -688,tests.integ.modin.test_unique,test_unique_series_reordered[native_series1],TypeError: assert_array_equal() got an unexpected keyword argument 'strict',failed -691,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index_with_name1-mod],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -694,tests.integ.modin.test_unique,test_unique_series_reordered[native_series2],TypeError: assert_array_equal() got an unexpected keyword argument 'strict',failed -699,tests.integ.modin.test_unique,test_unique_series_reordered[native_series3],TypeError: assert_array_equal() got an unexpected keyword argument 'strict',failed -701,tests.integ.modin.crosstab.test_crosstab,test_basic_crosstab_with_numpy_arrays[True],AttributeError: can't set attribute,failed -704,tests.integ.modin.test_unique,test_unique_series_reordered[native_series4],TypeError: assert_array_equal() got an unexpected keyword argument 'strict',failed -707,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index_with_name1-rmod],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -715,tests.integ.modin.crosstab.test_crosstab,test_basic_crosstab_with_numpy_arrays[False],AttributeError: can't set attribute,failed -724,tests.integ.modin.frame.test_align,test_align_basic_with_nulls_axis0[outer],AssertionError,failed -726,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False--9028751--6],IndexError: index -9028751 is out of bounds for axis 0 with size 7,failed -731,tests.integ.modin.test_unique,test_unique_series_reordered[native_series5],TypeError: assert_array_equal() got an unexpected keyword argument 'strict',failed -733,tests.integ.modin.frame.test_align,test_align_basic_with_nulls_axis0[inner],AssertionError,failed -737,tests.integ.modin.test_unique,test_unique_series_reordered[native_series6],TypeError: assert_array_equal() got an unexpected keyword argument 'strict',failed -740,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index_with_name1-pow],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -741,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False--9028751--8],IndexError: index -8 is out of bounds for axis 0 with size 7,failed -743,tests.integ.modin.test_unique,test_unique_series_reordered[native_series7],TypeError: assert_array_equal() got an unexpected keyword argument 'strict',failed -745,tests.integ.modin.frame.test_align,test_align_basic_with_nulls_axis0[left],AssertionError,failed -749,tests.integ.modin.test_unique,test_unique_series_reordered[native_series8],TypeError: assert_array_equal() got an unexpected keyword argument 'strict',failed -753,tests.integ.modin.test_unique,test_unique_index[index0],TypeError: assert_array_equal() got an unexpected keyword argument 'strict',failed -757,tests.integ.modin.frame.test_align,test_align_basic_with_nulls_axis0[right],AssertionError,failed -758,tests.integ.modin.crosstab.test_crosstab,test_basic_crosstab_with_series_objs_some_overlap[True],ValueError: All arrays must be of the same length,failed -759,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index_with_name1-rpow],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -762,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False--9028751-7],IndexError: index -9028751 is out of bounds for axis 0 with size 7,failed -765,tests.integ.modin.test_unique,test_unique_index[index1],TypeError: assert_array_equal() got an unexpected keyword argument 'strict',failed -769,tests.integ.modin.frame.test_align,test_align_frame_with_series_axis_negative[outer],Failed: DID NOT RAISE ,failed -770,tests.integ.modin.test_unique,test_unique_index[index2],TypeError: assert_array_equal() got an unexpected keyword argument 'strict',failed -774,tests.integ.modin.test_unique,test_unique_index[index3],TypeError: assert_array_equal() got an unexpected keyword argument 'strict',failed -775,tests.integ.modin.frame.test_align,test_align_frame_with_series_axis_negative[inner],Failed: DID NOT RAISE ,failed -777,tests.integ.modin.crosstab.test_crosstab,test_basic_crosstab_with_series_objs_some_overlap[False],ValueError: All arrays must be of the same length,failed -780,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False--9028751-52879115],IndexError: index -9028751 is out of bounds for axis 0 with size 7,failed -782,tests.integ.modin.test_unique,test_unique_index[index4],TypeError: assert_array_equal() got an unexpected keyword argument 'strict',failed -786,tests.integ.modin.frame.test_align,test_align_frame_with_series_axis_negative[left],Failed: DID NOT RAISE ,failed -788,tests.integ.modin.test_unique,test_unique_index[index5],TypeError: assert_array_equal() got an unexpected keyword argument 'strict',failed -791,tests.integ.modin.crosstab.test_crosstab,test_basic_crosstab_with_series_objs_some_overlap_error[True],Failed: DID NOT RAISE ,failed -793,tests.integ.modin.test_unique,test_unique_index[index6],TypeError: assert_array_equal() got an unexpected keyword argument 'strict',failed -797,tests.integ.modin.frame.test_align,test_align_frame_with_series_axis_negative[right],Failed: DID NOT RAISE ,failed -801,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False--9028751--9028751],IndexError: index -9028751 is out of bounds for axis 0 with size 7,failed -803,tests.integ.modin.test_unique,test_unique_index[index7],TypeError: assert_array_equal() got an unexpected keyword argument 'strict',failed -804,tests.integ.modin.crosstab.test_crosstab,test_basic_crosstab_with_series_objs_some_overlap_error[False],Failed: DID NOT RAISE ,failed -808,tests.integ.modin.test_unique,test_unique_ndarray[input_data0],TypeError: assert_array_equal() got an unexpected keyword argument 'strict',failed -809,tests.integ.modin.frame.test_align,test_align_frame_fill_value_negative,Failed: DID NOT RAISE ,failed -813,tests.integ.modin.test_unique,test_unique_ndarray[input_data1],TypeError: assert_array_equal() got an unexpected keyword argument 'strict',failed -818,tests.integ.modin.crosstab.test_crosstab,test_basic_crosstab_with_series_objs_no_overlap_error[True],Failed: DID NOT RAISE ,failed -819,tests.integ.modin.test_unique,test_unique_ndarray[input_data2],TypeError: assert_array_equal() got an unexpected keyword argument 'strict',failed -820,tests.integ.modin.test_unique,test_unique_timestamp_index[timestamp_index0],AssertionError,failed -825,tests.integ.modin.frame.test_align,test_level_negative[0-0],Failed: DID NOT RAISE ,failed -826,tests.integ.modin.frame.test_iloc,test_df_iloc_set_ffill_na_values_negative,"ValueError: could not broadcast input array from shape (2, 2) into shape (3, 2)",failed -831,tests.integ.modin.test_unique,test_unique_list[input_data0],TypeError: assert_array_equal() got an unexpected keyword argument 'strict',failed -832,tests.integ.modin.frame.test_align,test_level_negative[0-1],Failed: DID NOT RAISE ,failed -838,tests.integ.modin.test_unique,test_unique_list[input_data1],TypeError: assert_array_equal() got an unexpected keyword argument 'strict',failed -843,tests.integ.modin.test_unique,test_unique_list[input_data2],TypeError: assert_array_equal() got an unexpected keyword argument 'strict',failed -844,tests.integ.modin.frame.test_align,test_level_negative[1-0],Failed: DID NOT RAISE ,failed -850,tests.integ.modin.test_unique,test_unique_list[input_data3],TypeError: assert_array_equal() got an unexpected keyword argument 'strict',failed -853,tests.integ.modin.frame.test_align,test_level_negative[1-1],Failed: DID NOT RAISE ,failed -856,tests.integ.modin.crosstab.test_crosstab,test_basic_crosstab_with_series_objs_no_overlap_error[False],Failed: DID NOT RAISE ,failed -860,tests.integ.modin.test_unique,test_unique_list[input_data4],TypeError: assert_array_equal() got an unexpected keyword argument 'strict',failed -864,tests.integ.modin.frame.test_iloc,test_raise_set_cell_with_list_like_value_error,"ValueError: could not broadcast input array from shape (2,) into shape (1, 1)",failed -866,tests.integ.modin.frame.test_align,test_level_negative[None-0],Failed: DID NOT RAISE ,failed -867,tests.integ.modin.test_unique,test_unique_list[input_data5],TypeError: assert_array_equal() got an unexpected keyword argument 'strict',failed -874,tests.integ.modin.test_unique,test_unique_list[input_data6],TypeError: assert_array_equal() got an unexpected keyword argument 'strict',failed -876,tests.integ.modin.crosstab.test_crosstab,test_basic_crosstab_with_df_and_series_objs_pandas_errors_columns[True],AssertionError: arrays and names must have the same length,failed -880,tests.integ.modin.frame.test_align,test_level_negative[None-1],Failed: DID NOT RAISE ,failed -882,tests.integ.modin.test_unique,test_unique_tuple[input_data0],TypeError: assert_array_equal() got an unexpected keyword argument 'strict',failed -889,tests.integ.modin.test_unique,test_unique_tuple[input_data1],TypeError: assert_array_equal() got an unexpected keyword argument 'strict',failed -890,tests.integ.modin.frame.test_iloc,test_df_iloc_set_row_from_series[index1],"AssertionError: DataFrame.iloc[:, 0] (column name=""A"") are different +DataFrame shape mismatch +[left]: (5, 3) +[right]: (4, 5)",failed +tests.integ.modin.binary.test_binary_op,test_binary_add_dataframe_and_series_axis0[df1-s1],"AssertionError: DataFrame are different -DataFrame.iloc[:, 0] (column name=""A"") values are different (50.0 %) -[index]: [0, 1] -[left]: [1.0, nan] -[right]: [1, 1]",failed -892,tests.integ.modin.crosstab.test_crosstab,test_basic_crosstab_with_df_and_series_objs_pandas_errors_columns[False],AssertionError: arrays and names must have the same length,failed -897,tests.integ.modin.test_unique,test_unique_tuple[input_data2],TypeError: assert_array_equal() got an unexpected keyword argument 'strict',failed -904,tests.integ.modin.test_unique,test_unique_tuple[input_data3],TypeError: assert_array_equal() got an unexpected keyword argument 'strict',failed -907,tests.integ.modin.crosstab.test_crosstab,test_basic_crosstab_with_df_and_series_objs_pandas_errors_index[True],AssertionError: arrays and names must have the same length,failed -910,tests.integ.modin.test_unique,test_unique_tuple[input_data4],TypeError: assert_array_equal() got an unexpected keyword argument 'strict',failed -915,tests.integ.modin.frame.test_iloc,test_df_iloc_full_set_row_from_series[None-index0],"ValueError: could not broadcast input array from shape (2,) into shape (2, 3)",failed -917,tests.integ.modin.test_unique,test_unique_byte_array[input_data0],TypeError: assert_array_equal() got an unexpected keyword argument 'strict',failed -918,tests.integ.modin.frame.test_align,test_multiindex_negative[0],ValueError: cannot join with no overlapping index names,failed -923,tests.integ.modin.crosstab.test_crosstab,test_basic_crosstab_with_df_and_series_objs_pandas_errors_index[False],AssertionError: arrays and names must have the same length,failed -925,tests.integ.modin.test_unique,test_unique_byte_array[input_data1],TypeError: assert_array_equal() got an unexpected keyword argument 'strict',failed -927,tests.integ.modin.test_unique,test_unique_list_of_tuples,TypeError: assert_array_equal() got an unexpected keyword argument 'strict',failed -931,tests.integ.modin.frame.test_align,test_multiindex_negative[1],Failed: DID NOT RAISE ,failed -932,tests.integ.modin.test_unique,test_unique_list_of_lists,TypeError: assert_array_equal() got an unexpected keyword argument 'strict',failed -946,tests.integ.modin.frame.test_iloc,test_df_iloc_full_set_row_from_series[None-index1],"ValueError: could not broadcast input array from shape (2,) into shape (2, 3)",failed -947,tests.integ.modin.test_unique,test_unique_list_of_invalid_objects_negative[input_data0-TestUniqueUserDefinedClass],AssertionError,failed -950,tests.integ.modin.crosstab.test_crosstab,test_margins[True],AttributeError: can't set attribute,failed -953,tests.integ.modin.test_unique,test_unique_list_of_invalid_objects_negative[input_data1-set],AssertionError,failed -957,tests.integ.modin.frame.test_equals,test_equals_numeric_variants[int8-int16-True],"AssertionError: assert False == True - + where False = ( col1\n0 1\n1 3) - + where = col1\n0 1\n1 3.equals - + where col1\n0 1\n1 3 = ( col1\n0 1\n1 3) - + where = pd.DataFrame - + and col1\n0 1\n1 3 = ( col1\n0 1\n1 3) - + where = pd.DataFrame",failed -959,tests.integ.modin.test_unique,test_unique_list_of_invalid_objects_negative[input_data2-ndarray],AssertionError,failed -964,tests.integ.modin.crosstab.test_crosstab,test_margins[False],AttributeError: can't set attribute,failed -966,tests.integ.modin.frame.test_equals,test_equals_numeric_variants[int32-int16-True],"AssertionError: assert False == True - + where False = ( col1\n0 1\n1 3) - + where = col1\n0 1\n1 3.equals - + where col1\n0 1\n1 3 = ( col1\n0 1\n1 3) - + where = pd.DataFrame - + and col1\n0 1\n1 3 = ( col1\n0 1\n1 3) - + where = pd.DataFrame",failed -967,tests.integ.modin.frame.test_iloc,test_df_iloc_full_set_row_from_series[None-index2],"ValueError: could not broadcast input array from shape (2,) into shape (2, 3)",failed -977,tests.integ.modin.frame.test_equals,test_equals_numeric_variants[float16-float32-True],"AssertionError: assert False == True - + where False = ( col1\n0 1.0\n1 3.0) - + where = col1\n0 1.0\n1 3.0.equals - + where col1\n0 1.0\n1 3.0 = ( col1\n0 1.0\n1 3.0) - + where = pd.DataFrame - + and col1\n0 1.0\n1 3.0 = ( col1\n0 1.0\n1 3.0) - + where = pd.DataFrame",failed -980,tests.integ.modin.crosstab.test_crosstab,test_normalize[0-True],AttributeError: can't set attribute,failed -986,tests.integ.modin.frame.test_equals,test_equals_numeric_variants[float64-float32-True],"AssertionError: assert False == True - + where False = ( col1\n0 1.0\n1 3.0) - + where = col1\n0 1.0\n1 3.0.equals - + where col1\n0 1.0\n1 3.0 = ( col1\n0 1.0\n1 3.0) - + where = pd.DataFrame - + and col1\n0 1.0\n1 3.0 = ( col1\n0 1.0\n1 3.0) - + where = pd.DataFrame",failed -988,tests.integ.modin.frame.test_iloc,test_df_iloc_full_set_row_from_series[columns1-index0],"ValueError: could not broadcast input array from shape (2,) into shape (2, 3)",failed -994,tests.integ.modin.crosstab.test_crosstab,test_normalize[0-False],AttributeError: can't set attribute,failed -997,tests.integ.modin.frame.test_align,test_multiindex_negative[None],ValueError: cannot join with no overlapping index names,failed -1005,tests.integ.modin.frame.test_iloc,test_df_iloc_full_set_row_from_series[columns1-index1],"ValueError: could not broadcast input array from shape (2,) into shape (2, 3)",failed -1009,tests.integ.modin.frame.test_align,test_align_frame_copy_negative,Failed: DID NOT RAISE ,failed -1010,tests.integ.modin.crosstab.test_crosstab,test_normalize[1-True],AttributeError: can't set attribute,failed -1025,tests.integ.modin.frame.test_align,test_align_frame_deprecated_negative,Failed: DID NOT RAISE ,failed -1041,tests.integ.modin.frame.test_iloc,test_df_iloc_full_set_row_from_series[columns1-index2],"ValueError: could not broadcast input array from shape (2,) into shape (2, 3)",failed -1049,tests.integ.modin.crosstab.test_crosstab,test_normalize[1-False],AttributeError: can't set attribute,failed -1053,tests.integ.modin.frame.test_iloc,test_df_iloc_efficient_sql[0],IndexError: list index out of range,failed -1061,tests.integ.modin.frame.test_iloc,test_df_iloc_efficient_sql[1],IndexError: list index out of range,failed -1064,tests.integ.modin.crosstab.test_crosstab,test_normalize[True-True],AttributeError: can't set attribute,failed -1071,tests.integ.modin.frame.test_iloc,test_df_iloc_efficient_sql[2],IndexError: list index out of range,failed -1081,tests.integ.modin.crosstab.test_crosstab,test_normalize[True-False],AttributeError: can't set attribute,failed -1083,tests.integ.modin.frame.test_iloc,test_df_iloc_scalar_efficient_sql[0],IndexError: list index out of range,failed -1092,tests.integ.modin.frame.test_iloc,test_df_iloc_scalar_efficient_sql[1],IndexError: list index out of range,failed -1099,tests.integ.modin.crosstab.test_crosstab,test_normalize[all-True],AttributeError: can't set attribute,failed -1106,tests.integ.modin.frame.test_fillna,test_value_scalar_diff_type,Failed: DID NOT RAISE ,failed -1116,tests.integ.modin.crosstab.test_crosstab,test_normalize[all-False],AttributeError: can't set attribute,failed -1134,tests.integ.modin.crosstab.test_crosstab,test_normalize[index-True],AttributeError: can't set attribute,failed -1148,tests.integ.modin.frame.test_info,test_info_verbose_true,"AssertionError: assert 'SnowflakeIndex' in 'RangeIndex: 3 entries, 0 to 2'",failed -1157,tests.integ.modin.frame.test_info,test_info_verbose_false,"AssertionError: assert 'SnowflakeIndex' in 'RangeIndex: 3 entries, 0 to 2'",failed -1166,tests.integ.modin.frame.test_info,test_info_counts_true,"AssertionError: assert 'SnowflakeIndex' in 'RangeIndex: 3 entries, 0 to 2'",failed -1177,tests.integ.modin.frame.test_info,test_info_counts_false,TypeError: got an unexpected keyword argument 'null_counts',failed -1186,tests.integ.modin.frame.test_info,test_info_SNOW_962607,"AssertionError: assert 'SnowflakeIndex' in 'RangeIndex: 3 entries, 0 to 2'",failed -1187,tests.integ.modin.crosstab.test_crosstab,test_normalize[index-False],AttributeError: can't set attribute,failed -1210,tests.integ.modin.crosstab.test_crosstab,test_normalize[columns-True],AttributeError: can't set attribute,failed -1233,tests.integ.modin.crosstab.test_crosstab,test_normalize[columns-False],AttributeError: can't set attribute,failed -1253,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_margins[0-True],AttributeError: can't set attribute,failed -1267,tests.integ.modin.frame.test_fillna,test_argument_negative,"AssertionError: Regex pattern did not match. - Regex: ""Must specify a fill 'value' or 'method'."" - Input: 'must specify a fill method or value'",failed -1274,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_margins[0-False],AttributeError: can't set attribute,failed -1298,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_margins[1-True],AttributeError: can't set attribute,failed -1319,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_margins[1-False],AttributeError: can't set attribute,failed -1358,tests.integ.modin.frame.test_insert,test_insert_one_to_many[native_value0],ValueError: cannot reindex on an axis with duplicate labels,failed -1371,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_margins[True-True],AttributeError: can't set attribute,failed -1389,tests.integ.modin.frame.test_all_any,test_all_float_not_implemented[True-data0-0],Failed: DID NOT RAISE ,failed -1395,tests.integ.modin.frame.test_all_any,test_all_float_not_implemented[True-data0-1],Failed: DID NOT RAISE ,failed -1396,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_margins[True-False],AttributeError: can't set attribute,failed -1401,tests.integ.modin.frame.test_all_any,test_all_float_not_implemented[True-data0-None],Failed: DID NOT RAISE ,failed -1406,tests.integ.modin.frame.test_all_any,test_all_float_not_implemented[True-data1-0],Failed: DID NOT RAISE ,failed -1412,tests.integ.modin.frame.test_all_any,test_all_float_not_implemented[True-data1-1],Failed: DID NOT RAISE ,failed -1419,tests.integ.modin.frame.test_all_any,test_all_float_not_implemented[True-data1-None],Failed: DID NOT RAISE ,failed -1420,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_margins[all-True],AttributeError: can't set attribute,failed -1425,tests.integ.modin.frame.test_all_any,test_all_float_not_implemented[False-data0-0],Failed: DID NOT RAISE ,failed -1432,tests.integ.modin.frame.test_all_any,test_all_float_not_implemented[False-data0-1],Failed: DID NOT RAISE ,failed -1435,tests.integ.modin.frame.test_all_any,test_all_float_not_implemented[False-data0-None],Failed: DID NOT RAISE ,failed -1439,tests.integ.modin.frame.test_insert,test_insert_one_to_many[native_value1],ValueError: cannot reindex on an axis with duplicate labels,failed -1443,tests.integ.modin.frame.test_all_any,test_all_float_not_implemented[False-data1-0],Failed: DID NOT RAISE ,failed -1444,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_margins[all-False],AttributeError: can't set attribute,failed -1448,tests.integ.modin.frame.test_all_any,test_all_float_not_implemented[False-data1-1],Failed: DID NOT RAISE ,failed -1452,tests.integ.modin.frame.test_all_any,test_all_float_not_implemented[False-data1-None],Failed: DID NOT RAISE ,failed -1456,tests.integ.modin.frame.test_all_any,test_any_float_not_implemented[True-data0-0],Failed: DID NOT RAISE ,failed -1461,tests.integ.modin.frame.test_all_any,test_any_float_not_implemented[True-data0-1],Failed: DID NOT RAISE ,failed -1465,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_margins[index-True],AttributeError: can't set attribute,failed -1467,tests.integ.modin.frame.test_all_any,test_any_float_not_implemented[True-data0-None],Failed: DID NOT RAISE ,failed -1471,tests.integ.modin.frame.test_all_any,test_any_float_not_implemented[True-data1-0],Failed: DID NOT RAISE ,failed -1477,tests.integ.modin.frame.test_all_any,test_any_float_not_implemented[True-data1-1],Failed: DID NOT RAISE ,failed -1481,tests.integ.modin.frame.test_all_any,test_any_float_not_implemented[True-data1-None],Failed: DID NOT RAISE ,failed -1484,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_margins[index-False],AttributeError: can't set attribute,failed -1487,tests.integ.modin.frame.test_insert,test_insert_one_to_many[native_value2],ValueError: cannot reindex on an axis with duplicate labels,failed -1488,tests.integ.modin.frame.test_all_any,test_any_float_not_implemented[False-data0-0],Failed: DID NOT RAISE ,failed -1492,tests.integ.modin.frame.test_all_any,test_any_float_not_implemented[False-data0-1],Failed: DID NOT RAISE ,failed -1498,tests.integ.modin.frame.test_all_any,test_any_float_not_implemented[False-data0-None],Failed: DID NOT RAISE ,failed -1502,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_margins[columns-True],AttributeError: can't set attribute,failed -1504,tests.integ.modin.frame.test_all_any,test_any_float_not_implemented[False-data1-0],Failed: DID NOT RAISE ,failed -1510,tests.integ.modin.frame.test_all_any,test_any_float_not_implemented[False-data1-1],Failed: DID NOT RAISE ,failed -1516,tests.integ.modin.frame.test_all_any,test_any_float_not_implemented[False-data1-None],Failed: DID NOT RAISE ,failed -1520,tests.integ.modin.frame.test_all_any,test_all_str_not_implemented[data0-0],Failed: DID NOT RAISE ,failed -1524,tests.integ.modin.frame.test_all_any,test_all_str_not_implemented[data0-1],Failed: DID NOT RAISE ,failed -1532,tests.integ.modin.frame.test_all_any,test_all_str_not_implemented[data0-None],Failed: DID NOT RAISE ,failed -1536,tests.integ.modin.frame.test_all_any,test_any_str_not_implemented[data0-0],Failed: DID NOT RAISE ,failed -1542,tests.integ.modin.frame.test_all_any,test_any_str_not_implemented[data0-1],Failed: DID NOT RAISE ,failed -1546,tests.integ.modin.frame.test_all_any,test_any_str_not_implemented[data0-None],Failed: DID NOT RAISE ,failed -1552,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_margins[columns-False],AttributeError: can't set attribute,failed -1567,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[median0-0-True],AttributeError: can't set attribute,failed -1568,tests.integ.modin.test_apply_snowflake_cortex_functions,test_apply_snowflake_cortex_negative[series_cortex_unsupported_function_complete],TypeError: complete() got multiple values for argument 'model',failed -1577,tests.integ.modin.frame.test_insert,test_insert_pandas_types_negative,Failed: DID NOT RAISE ,failed -1581,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[median0-0-False],AttributeError: can't set attribute,failed -1600,tests.integ.modin.test_apply_snowflake_cortex_functions,test_apply_snowflake_cortex_negative[df_cortex_unsupported_function_complete],TypeError: complete() got multiple values for argument 'model',failed -1601,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[median0-1-True],AttributeError: can't set attribute,failed -1615,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[median0-1-False],AttributeError: can't set attribute,failed -1624,tests.integ.modin.frame.test_apply,test_axis_1_basic_types_without_type_hints[return_timedelta_scalar],[XPASS(strict)] SNOW-1619940,failed -1629,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[median0-index-True],AttributeError: can't set attribute,failed -1644,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[median0-index-False],AttributeError: can't set attribute,failed -1646,tests.integ.modin.frame.test_insert,test_insert_duplicate_label,"ValueError: cannot insert col1, already exists",failed -1677,tests.integ.modin.frame.test_insert,test_insert_loc_negative[1],AssertionError: Snowpark pandas Exception '<=' not supported between instances of 'int' and 'str' doesn't match pandas Exception loc must be int,failed -1678,tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series[floordiv-rhs2-lhs0],AttributeError: 'bool' object has no attribute 'any',failed -1682,tests.integ.modin.frame.test_fillna,test_df_fillna_method_with_type_coercion_errors_for_variant_column_negative,TODO SNOW-1489309 investigate why it starts to work now on qa,xfailed -1685,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[median0-columns-True],AttributeError: can't set attribute,failed -1688,tests.integ.modin.frame.test_apply,test_axis_1_basic_types_without_type_hints[apply_on_frame_with_timedelta_data_columns_returns_int],[XPASS(strict)] ,failed -1689,tests.integ.modin.frame.test_fillna,test_df_fillna_method_with_type_coercion_casts_all_as_bool_negative,"AssertionError: DataFrame.iloc[:, 1] (column name=""D"") are different +DataFrame shape mismatch +[left]: (4, 3) +[right]: (4, 6)",failed +tests.integ.modin.binary.test_binary_op,test_binary_add_dataframe_and_series_axis0_with_type_mismatch_for_index_negative[df0-s0],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_binary_add_dataframe_sub_series_axis1[df0-s0],"AssertionError: DataFrame are different -DataFrame.iloc[:, 1] (column name=""D"") values are different (25.0 %) -[index]: [0, 1, 2, 3] -[left]: [False, 4.0, True, ] -[right]: [False, True, True, None] -At positional index 1, first diff: 4.0 != True",failed -1697,tests.integ.modin.frame.test_fillna,test_df_fillna_timestamp_no_numeric_with_nans,"[XPASS(strict)] Pandas will replace the np.nan in a timestamp column with 0, and upcast the dtype",failed -1701,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[median0-columns-False],AttributeError: can't set attribute,failed -1702,tests.integ.modin.frame.test_apply,test_axis_1_basic_types_with_type_hints[return_timedelta_scalar],[XPASS(strict)] SNOW-1619940,failed -1703,tests.integ.modin.frame.test_insert,test_insert_multiindex_array_like_and_scalar[value4-1],ValueError: Length of values (1) does not match length of index (4),failed -1714,tests.integ.modin.binary.test_timedelta,test_datetime_timedelta_scalar_divide_by_numeric_dataframe,"AssertionError: Attributes of DataFrame.iloc[:, 0] (column name=""0"") are different +DataFrame shape mismatch +[left]: (7, 5) +[right]: (2, 7)",failed +tests.integ.modin.binary.test_binary_op,test_binary_add_dataframe_sub_series_axis1[df1-s1],"AssertionError: DataFrame are different -Attribute ""dtype"" are different -[left]: timedelta64[us] -[right]: timedelta64[ns]",failed -1715,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[median1-0-True],AttributeError: can't set attribute,failed -1723,tests.integ.modin.frame.test_insert,test_insert_empty_multiindex_frame[value0],"ValueError: Buffer dtype mismatch, expected 'Python object' but got 'long'",failed -1724,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[median1-0-False],AttributeError: can't set attribute,failed -1727,tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series[floordiv-rhs2-lhs1],AttributeError: 'bool' object has no attribute 'any',failed -1734,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[median1-1-True],AttributeError: can't set attribute,failed -1740,tests.integ.modin.frame.test_insert,test_insert_empty_multiindex_frame[value1],"ValueError: Buffer dtype mismatch, expected 'Python object' but got 'long'",failed -1742,tests.integ.modin.frame.test_apply,test_axis_1_basic_types_with_type_hints[apply_on_frame_with_timedelta_data_columns_returns_int],[XPASS(strict)] ,failed -1746,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[median1-1-False],AttributeError: can't set attribute,failed -1751,tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series[floordiv-rhs2-lhs2],AttributeError: 'bool' object has no attribute 'any',failed -1760,tests.integ.modin.frame.test_apply,test_frame_with_timedelta_index,[XPASS(strict)] ,failed -1761,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[median1-index-True],AttributeError: can't set attribute,failed -1773,tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series[floordiv-rhs2-lhs3],AttributeError: 'bool' object has no attribute 'any',failed -1776,tests.integ.modin.frame.test_insert,test_insert_empty_multiindex_frame[value2],"ValueError: Buffer dtype mismatch, expected 'Python object' but got 'long'",failed -1778,tests.integ.modin.frame.test_apply,test_axis_1_date_time_timestamp_type[data0--expected_result0],AttributeError: Can only use .dt accessor with datetimelike values,failed -1784,tests.integ.modin.frame.test_insert,test_insert_multiindex_dict_negative,"AssertionError: Regex pattern did not match. - Regex: 'Number of index levels of inserted column are different from frame index' - Input: 'Length of values (3) does not match length of index (4)'",failed -1786,tests.integ.modin.frame.test_apply,test_axis_1_date_time_timestamp_type[data1--expected_result1],"AssertionError: DataFrame.iloc[:, 1] (column name=""1"") are different +DataFrame shape mismatch +[left]: (4, 3) +[right]: (4, 6)",failed +tests.integ.modin.binary.test_binary_op,test_binary_add_dataframe_sub_series_axis1[df2-s2],"AssertionError: DataFrame are different -DataFrame.iloc[:, 1] (column name=""1"") values are different (50.0 %) -[index]: [0, 1] -[left]: [None, 2021-01-09] -[right]: [NaT, 2021-01-09] -At positional index 0, first diff: None != NaT",failed -1790,tests.integ.modin.frame.test_filter,test_filtering_with_self_not_implemented[0],Failed: DID NOT RAISE ,failed -1791,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[median1-index-False],AttributeError: can't set attribute,failed -1793,tests.integ.modin.test_apply_snowpark_python_functions,test_apply_sin,"TypeError: 'SIN' expected Column or str, got: ",failed -1795,tests.integ.modin.frame.test_filter,test_filtering_with_self_not_implemented[1],Failed: DID NOT RAISE ,failed -1804,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[median1-columns-True],AttributeError: can't set attribute,failed -1810,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_tuple_key_list[item_values0-row_pos0-col_pos0],"AssertionError: DataFrame.iloc[:, 2] (column name=""C"") are different +DataFrame shape mismatch +[left]: (7, 3) +[right]: (4, 3)",failed +tests.integ.modin.binary.test_binary_op,test_binary_add_dataframe_sub_series_axis1[df3-s3],"AssertionError: DataFrame are different -DataFrame.iloc[:, 2] (column name=""C"") values are different (25.0 %) -[index]: [0, 1, 2, 3] -[left]: [7, 10, 100, 100] -[right]: [7, 10, 100, 16]",failed -1816,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[median1-columns-False],AttributeError: can't set attribute,failed -1820,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_tuple_key_list[item_values0-row_pos1-col_pos1],"AssertionError: DataFrame.iloc[:, 1] (column name=""B"") are different +DataFrame shape mismatch +[left]: (4, 5) +[right]: (2, 4)",failed +tests.integ.modin.binary.test_binary_op,test_binary_add_dataframe_sub_series_axis1[df4-s4],"AssertionError: DataFrame are different -DataFrame.iloc[:, 1] (column name=""B"") values are different (50.0 %) -[index]: [0, 1, 2, 3] -[left]: [6, 99, 99, 99] -[right]: [6, 99, 12, 15]",failed -1822,tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series[floordiv-rhs3-lhs0],AttributeError: 'bool' object has no attribute 'any',failed -1826,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_tuple_key_list[item_values0-row_pos2-col_pos2],"AssertionError: DataFrame.iloc[:, 0] (column name=""A"") are different +DataFrame shape mismatch +[left]: (7, 2) +[right]: (4, 6)",failed +tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_method_array_scalar,Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_method_number_scalar_negative[0],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_method_number_scalar_negative[1],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_method_number_scalar_negative[2],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_method_number_scalar_negative[3],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_method_number_scalar_negative[4],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_method_number_scalar_negative[5],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_method_number_scalar_negative[6],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_method_string_scalar_negative[0],AssertionError: exception type does not match with expected type ,failed +tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_method_string_scalar_negative[1],AssertionError: exception type does not match with expected type ,failed +tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_between_df_and_scalar_nan_behavior_deviates[10.001-add],"AssertionError: DataFrame.iloc[:, 0] (column name=""0"") are different -DataFrame.iloc[:, 0] (column name=""A"") values are different (50.0 %) -[index]: [0, 1, 2, 3] -[left]: [5, 101, 101, 101] -[right]: [5, 101, 11, 14]",failed -1828,tests.integ.modin.frame.test_apply,test_axis_1_date_time_timestamp_type[data2--expected_result2],AttributeError: Can only use .dt accessor with datetimelike values,failed -1830,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[count-0-True],AttributeError: can't set attribute,failed -1833,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_tuple_key_list[item_values0-row_pos3-col_pos3],"AssertionError: DataFrame.iloc[:, 1] (column name=""B"") are different +DataFrame.iloc[:, 0] (column name=""0"") values are different (33.33333 %) +[index]: [0, 1, 2] +[left]: [nan, nan, nan] +[right]: [24.000999999999998, nan, nan] +At positional index 0, first diff: nan != 24.000999999999998",failed +tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_between_df_and_scalar_nan_behavior_deviates[10.001-floordiv],"AssertionError: DataFrame.iloc[:, 0] (column name=""0"") are different -DataFrame.iloc[:, 1] (column name=""B"") values are different (50.0 %) -[index]: [0, 1, 2, 3] -[left]: [6, 99, 99, 99] -[right]: [6, 9, 12, 99]",failed -1834,tests.integ.modin.frame.test_insert,test_insert_index_num_levels_mismatch_negative[df_index0-value_index0],TypeError: incompatible index of inserted column with frame index,failed -1837,tests.integ.modin.frame.test_apply,test_axis_1_date_time_timestamp_type[data3--expected_result3],"AssertionError: DataFrame.iloc[:, 0] (column name=""0"") are different +DataFrame.iloc[:, 0] (column name=""0"") values are different (33.33333 %) +[index]: [0, 1, 2] +[left]: [nan, nan, nan] +[right]: [1.0, nan, nan] +At positional index 0, first diff: nan != 1.0",failed +tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_between_df_and_scalar_nan_behavior_deviates[10.001-mod],"AssertionError: DataFrame.iloc[:, 0] (column name=""0"") are different -DataFrame.iloc[:, 0] (column name=""0"") values are different (100.0 %) -[index]: [0, 1] -[left]: [01:02:03, 01:02:03.000001] -[right]: [0 days 01:02:03, 0 days 01:02:03.000001] -At positional index 0, first diff: 01:02:03 != 0 days 01:02:03",failed -1838,tests.integ.modin.frame.test_filter,test_filtering_df_with_other_df_unaligned_index,pandas.errors.IndexingError: Unalignable boolean Series provided as indexer (index of the boolean Series and of the indexed object do not match).,failed -1842,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_tuple_key_list[item_values0-row_pos4-col_pos4],"AssertionError: DataFrame.iloc[:, 0] (column name=""A"") are different +DataFrame.iloc[:, 0] (column name=""0"") values are different (33.33333 %) +[index]: [0, 1, 2] +[left]: [nan, nan, nan] +[right]: [3.9990000000000006, nan, nan] +At positional index 0, first diff: nan != 3.9990000000000006",failed +tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_between_df_and_scalar_nan_behavior_deviates[10.001-mul],"AssertionError: DataFrame.iloc[:, 0] (column name=""0"") are different -DataFrame.iloc[:, 0] (column name=""A"") values are different (50.0 %) -[index]: [0, 1, 2, 3] -[left]: [100, 8, 100, 100] -[right]: [5, 8, 100, 14]",failed -1843,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[count-0-False],AttributeError: can't set attribute,failed -1846,tests.integ.modin.frame.test_apply,test_axis_1_date_time_timestamp_type[data4--expected_result4],"AssertionError: Series are different +DataFrame.iloc[:, 0] (column name=""0"") values are different (33.33333 %) +[index]: [0, 1, 2] +[left]: [nan, nan, nan] +[right]: [140.01399999999998, nan, nan] +At positional index 0, first diff: nan != 140.01399999999998",failed +tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_between_df_and_scalar_nan_behavior_deviates[10.001-pow],"AssertionError: DataFrame.iloc[:, 0] (column name=""0"") are different -Series values are different (100.0 %) -[index]: [0, 1] -[left]: [UTC, UTC] -[right]: [UTC, UTC] -At positional index 0, first diff: UTC != UTC",failed -1848,tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series[floordiv-rhs3-lhs1],AttributeError: 'bool' object has no attribute 'any',failed -1851,tests.integ.modin.frame.test_apply,test_axis_1_date_time_timestamp_type[data5--expected_result5],"AssertionError: DataFrame.iloc[:, 1] (column name=""1"") are different +DataFrame.iloc[:, 0] (column name=""0"") values are different (33.33333 %) +[index]: [0, 1, 2] +[left]: [nan, nan, nan] +[right]: [290019022754.90625, nan, nan] +At positional index 0, first diff: nan != 290019022754.90625",failed +tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_between_df_and_scalar_nan_behavior_deviates[10.001-radd],"AssertionError: DataFrame.iloc[:, 0] (column name=""0"") are different -DataFrame.iloc[:, 1] (column name=""1"") values are different (50.0 %) -[index]: [0, 1] -[left]: [NaT, 2023-01-01 01:02:03+00:00] -[right]: [None, 2023-01-01 01:02:03+00:00] -At positional index 0, first diff: NaT != None",failed -1853,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[count-1-True],AttributeError: can't set attribute,failed -1861,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_tuple_key_list[item_values0-row_pos5-col_pos5],"AssertionError: DataFrame.iloc[:, 1] (column name=""B"") are different +DataFrame.iloc[:, 0] (column name=""0"") values are different (33.33333 %) +[index]: [0, 1, 2] +[left]: [nan, nan, nan] +[right]: [24.000999999999998, nan, nan] +At positional index 0, first diff: nan != 24.000999999999998",failed +tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_between_df_and_scalar_nan_behavior_deviates[10.001-rfloordiv],"AssertionError: DataFrame.iloc[:, 0] (column name=""0"") are different -DataFrame.iloc[:, 1] (column name=""B"") values are different (50.0 %) -[index]: [0, 1, 2, 3] -[left]: [101, 9, 101, 101] -[right]: [101, 9, 12, 15]",failed -1865,tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series[floordiv-rhs3-lhs2],AttributeError: 'bool' object has no attribute 'any',failed -1869,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_tuple_key_list[123-row_pos0-col_pos0],"AssertionError: DataFrame.iloc[:, 2] (column name=""C"") are different +DataFrame.iloc[:, 0] (column name=""0"") values are different (33.33333 %) +[index]: [0, 1, 2] +[left]: [nan, nan, nan] +[right]: [0.0, nan, nan] +At positional index 0, first diff: nan != 0.0",failed +tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_between_df_and_scalar_nan_behavior_deviates[10.001-rmod],"AssertionError: DataFrame.iloc[:, 0] (column name=""0"") are different -DataFrame.iloc[:, 2] (column name=""C"") values are different (25.0 %) -[index]: [0, 1, 2, 3] -[left]: [7, 10, 123, 123] -[right]: [7, 10, 123, 16]",failed -1877,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_tuple_key_list[123-row_pos1-col_pos1],"AssertionError: DataFrame.iloc[:, 1] (column name=""B"") are different +DataFrame.iloc[:, 0] (column name=""0"") values are different (33.33333 %) +[index]: [0, 1, 2] +[left]: [nan, nan, nan] +[right]: [10.001, nan, nan] +At positional index 0, first diff: nan != 10.001",failed +tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_between_df_and_scalar_nan_behavior_deviates[10.001-rmul],"AssertionError: DataFrame.iloc[:, 0] (column name=""0"") are different -DataFrame.iloc[:, 1] (column name=""B"") values are different (50.0 %) -[index]: [0, 1, 2, 3] -[left]: [6, 123, 123, 123] -[right]: [6, 123, 12, 15]",failed -1881,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[count-1-False],AttributeError: can't set attribute,failed -1882,tests.integ.modin.frame.test_insert,test_insert_index_num_levels_mismatch_negative[df_index1-value_index1],AssertionError: Length of new_levels (3) must be <= self.nlevels (2),failed -1886,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_tuple_key_list[123-row_pos2-col_pos2],"AssertionError: DataFrame.iloc[:, 0] (column name=""A"") are different +DataFrame.iloc[:, 0] (column name=""0"") values are different (33.33333 %) +[index]: [0, 1, 2] +[left]: [nan, nan, nan] +[right]: [140.01399999999998, nan, nan] +At positional index 0, first diff: nan != 140.01399999999998",failed +tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_between_df_and_scalar_nan_behavior_deviates[10.001-rpow],"AssertionError: DataFrame.iloc[:, 0] (column name=""0"") are different -DataFrame.iloc[:, 0] (column name=""A"") values are different (50.0 %) -[index]: [0, 1, 2, 3] -[left]: [5, 123, 123, 123] -[right]: [5, 123, 11, 14]",failed -1887,tests.integ.modin.test_apply_snowpark_python_functions,test_apply_log10,"TypeError: 'LOG' expected Column or str, got: ",failed -1889,tests.integ.modin.frame.test_apply,test_axis_1_return_not_json_serializable_label,Failed: DID NOT RAISE ,failed -1895,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_tuple_key_list[123-row_pos3-col_pos3],"AssertionError: DataFrame.iloc[:, 1] (column name=""B"") are different +DataFrame.iloc[:, 0] (column name=""0"") values are different (33.33333 %) +[index]: [0, 1, 2] +[left]: [nan, nan, nan] +[right]: [100140091036409.94, nan, nan] +At positional index 0, first diff: nan != 100140091036409.94",failed +tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_between_df_and_scalar_nan_behavior_deviates[10.001-rsub],"AssertionError: DataFrame.iloc[:, 0] (column name=""0"") are different -DataFrame.iloc[:, 1] (column name=""B"") values are different (50.0 %) -[index]: [0, 1, 2, 3] -[left]: [6, 123, 123, 123] -[right]: [6, 9, 12, 123]",failed -1896,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[count-index-True],AttributeError: can't set attribute,failed -1897,tests.integ.modin.frame.test_apply,test_axis_1_apply_args_kwargs,AssertionError: exception type does not match with expected type ,failed -1900,tests.integ.modin.frame.test_first_last_valid_index,test_first_and_last_valid_multiindex_dataframe[index0],"ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().",failed -1902,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_tuple_key_list[123-row_pos4-col_pos4],"AssertionError: DataFrame.iloc[:, 0] (column name=""A"") are different +DataFrame.iloc[:, 0] (column name=""0"") values are different (33.33333 %) +[index]: [0, 1, 2] +[left]: [nan, nan, nan] +[right]: [-3.9990000000000006, nan, nan] +At positional index 0, first diff: nan != -3.9990000000000006",failed +tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_between_df_and_scalar_nan_behavior_deviates[10.001-rtruediv],"AssertionError: DataFrame.iloc[:, 0] (column name=""0"") are different -DataFrame.iloc[:, 0] (column name=""A"") values are different (50.0 %) -[index]: [0, 1, 2, 3] -[left]: [123, 8, 123, 123] -[right]: [5, 8, 123, 14]",failed -1903,tests.integ.modin.frame.test_apply,test_result_type[reduce],Failed: DID NOT RAISE ,failed -1906,tests.integ.modin.frame.test_first_last_valid_index,test_first_and_last_valid_multiindex_dataframe[index1],"ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().",failed -1907,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[count-index-False],AttributeError: can't set attribute,failed -1909,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_tuple_key_list[123-row_pos5-col_pos5],"AssertionError: DataFrame.iloc[:, 1] (column name=""B"") are different +DataFrame.iloc[:, 0] (column name=""0"") values are different (33.33333 %) +[index]: [0, 1, 2] +[left]: [nan, nan, nan] +[right]: [0.7143571428571428, nan, nan] +At positional index 0, first diff: nan != 0.7143571428571428",failed +tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_between_df_and_scalar_nan_behavior_deviates[10.001-sub],"AssertionError: DataFrame.iloc[:, 0] (column name=""0"") are different -DataFrame.iloc[:, 1] (column name=""B"") values are different (50.0 %) -[index]: [0, 1, 2, 3] -[left]: [123, 9, 123, 123] -[right]: [123, 9, 12, 15]",failed -1910,tests.integ.modin.frame.test_apply,test_result_type[expand],Failed: DID NOT RAISE ,failed -1913,tests.integ.modin.frame.test_first_last_valid_index,test_first_and_last_valid_multiindex_dataframe[index2],"ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().",failed -1915,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_tuple_key_list_different_behavior[row_pos0-col_pos0-91-native_item0],"AssertionError: DataFrame.iloc[:, 2] (column name=""C"") are different +DataFrame.iloc[:, 0] (column name=""0"") values are different (33.33333 %) +[index]: [0, 1, 2] +[left]: [nan, nan, nan] +[right]: [3.9990000000000006, nan, nan] +At positional index 0, first diff: nan != 3.9990000000000006",failed +tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_between_df_and_scalar_nan_behavior_deviates[10.001-truediv],"AssertionError: DataFrame.iloc[:, 0] (column name=""0"") are different -DataFrame.iloc[:, 2] (column name=""C"") values are different (25.0 %) -[index]: [0, 1, 2, 3] -[left]: [7, 10, 13, 91] -[right]: [7, 10, 13, 16]",failed -1916,tests.integ.modin.frame.test_apply,test_result_type[broadcast],Failed: DID NOT RAISE ,failed -1917,tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series[floordiv-rhs3-lhs3],AttributeError: 'bool' object has no attribute 'any',failed -1919,tests.integ.modin.frame.test_insert,test_insert_index_num_levels_mismatch_negative[df_index2-value_index2],TypeError: incompatible index of inserted column with frame index,failed -1920,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[count-columns-True],AttributeError: can't set attribute,failed -1922,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_tuple_key_list_different_behavior[row_pos1-col_pos1-item_values1-native_item1],"AssertionError: DataFrame.iloc[:, 2] (column name=""C"") are different +DataFrame.iloc[:, 0] (column name=""0"") values are different (33.33333 %) +[index]: [0, 1, 2] +[left]: [nan, nan, nan] +[right]: [1.3998600139986002, nan, nan] +At positional index 0, first diff: nan != 1.3998600139986002",failed +tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_between_series_and_scalar_nan[10.001-add],"AssertionError: Series are different -DataFrame.iloc[:, 2] (column name=""C"") values are different (25.0 %) -[index]: [0, 1, 2, 3] -[left]: [7, 10, 13, 92] -[right]: [7, 10, 13, 16]",failed -1923,tests.integ.modin.frame.test_apply,test_axis_1_apply_args_kwargs_with_snowpandas_object,Failed: DID NOT RAISE ,failed -1926,tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series_div_by_zero_negative[truediv-rhs0-lhs0],Failed: DID NOT RAISE ,failed -1932,tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series_div_by_zero_negative[truediv-rhs0-lhs1],Failed: DID NOT RAISE ,failed -1933,tests.integ.modin.frame.test_first_last_valid_index,test_first_and_last_valid_multiindex_dataframe[index3],"ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().",failed -1934,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[count-columns-False],AttributeError: can't set attribute,failed -1938,tests.integ.modin.frame.test_first_last_valid_index,test_first_and_last_valid_none_float64_multiindex_dataframe[data0],"ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().",failed -1942,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[mean0-0-True],AttributeError: can't set attribute,failed -1943,tests.integ.modin.frame.test_first_last_valid_index,test_first_and_last_valid_none_float64_multiindex_dataframe[data1],"ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().",failed -1945,tests.integ.modin.frame.test_insert,test_insert_index_num_levels_mismatch_negative[df_index3-value_index3],AssertionError: Length of new_levels (3) must be <= self.nlevels (2),failed -1949,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_df_col_df_key_set_coordinates[row_pos0-df-col_pos0-df],"ValueError: Buffer has wrong number of dimensions (expected 1, got 2)",failed -1950,tests.integ.modin.frame.test_first_last_valid_index,test_first_and_last_valid_nested_multiindex_series,"ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().",failed -1951,tests.integ.modin.frame.test_insert,test_insert_index_num_levels_mismatch_negative[df_index4-value_index4],Failed: DID NOT RAISE ,failed -1955,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[mean0-0-False],AttributeError: can't set attribute,failed -1956,tests.integ.modin.frame.test_insert,test_insert_index_num_levels_mismatch_negative[df_index5-value_index5],Failed: DID NOT RAISE ,failed -1959,tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series_div_by_zero_negative[truediv-rhs0-lhs2],ZeroDivisionError: float division by zero,failed -1962,tests.integ.modin.frame.test_insert,test_insert_index_type_mismatch[df_index0-value_index0-expected_index0],"AssertionError: DataFrame.index are different +Series values are different (60.0 %) +[index]: [0, 1, 2, 3, 4] +[left]: [nan, nan, nan, nan, nan] +[right]: [24.000999999999998, 26.801000000000002, nan, 185.001, nan] +At positional index 0, first diff: nan != 24.000999999999998",failed +tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_between_series_and_scalar_nan[10.001-floordiv],"AssertionError: Series are different -DataFrame.index values are different (100.0 %) -[left]: Index(['1', '2', '3'], dtype='object') -[right]: Index([1.0, 2.0, 3.0], dtype='float64') -At positional index 0, first diff: 1 != 1.0",failed -1968,tests.integ.modin.frame.test_insert,test_insert_index_type_mismatch[df_index1-value_index1-expected_index1],TypeError: boolean value of NA is ambiguous,failed -1971,tests.integ.modin.frame.test_apply,test_axis_1_multi_index_column_labels_different_levels_negative,AssertionError: exception type does not match with expected type ,failed -1973,tests.integ.modin.frame.test_insert,test_insert_index_type_mismatch[df_index2-value_index2-expected_index2],TypeError: boolean value of NA is ambiguous,failed -1976,tests.integ.modin.frame.test_apply,test_apply_variant_json_null,"assert [True, True, True, False] == [False, True, True, False] - At index 0 diff: True != False - Full diff: - - [False, True, True, False] - + [True, True, True, False]",failed -1978,tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series_div_by_zero_negative[truediv-rhs0-lhs3],ZeroDivisionError: float division by zero,failed -1980,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[mean0-1-True],AttributeError: can't set attribute,failed -1982,tests.integ.modin.frame.test_apply,test_apply_bug_1650918[data0-],[XPASS(strict)] SNOW-1650918: Apply on dataframe data columns containing NULL fails with invalid arguments to udtf function,failed -1985,tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series_div_by_zero_negative[truediv-rhs0-lhs4],Failed: DID NOT RAISE ,failed -1986,tests.integ.modin.frame.test_apply,test_apply_bug_1650918[data1-],[XPASS(strict)] SNOW-1650918: Apply on dataframe data columns containing NULL fails with invalid arguments to udtf function,failed -1989,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_df_col_df_key_set_coordinates[row_pos1-df-col_pos1-df],"ValueError: Buffer has wrong number of dimensions (expected 1, got 2)",failed -1990,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[mean0-1-False],AttributeError: can't set attribute,failed -1994,tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series_div_by_zero_negative[truediv-rhs1-lhs0],Failed: DID NOT RAISE ,failed -1997,tests.integ.modin.test_apply_snowpark_python_functions,test_apply_trunc_default_scale,"TypeError: 'TRUNC' expected Column or str, got: ",failed -2004,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[mean0-index-True],AttributeError: can't set attribute,failed -2005,tests.integ.modin.binary.test_binary_not_implemented,test_binary_op_xor[0],Failed: DID NOT RAISE ,failed -2006,tests.integ.modin.frame.test_apply,test_basic_dataframe_transform[data2-exp-None],Failed: DID NOT RAISE ,failed -2008,tests.integ.modin.binary.test_binary_not_implemented,test_binary_op_xor[1],Failed: DID NOT RAISE ,failed -2012,tests.integ.modin.binary.test_binary_not_implemented,test_binary_op_dot[-DataFrame0],Failed: DID NOT RAISE ,failed -2015,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[mean0-index-False],AttributeError: can't set attribute,failed -2016,tests.integ.modin.binary.test_binary_not_implemented,test_binary_op_dot[-Series0],Failed: DID NOT RAISE ,failed -2020,tests.integ.modin.binary.test_binary_not_implemented,test_binary_op_dot[-Series1],Failed: DID NOT RAISE ,failed -2021,tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series_div_by_zero_negative[truediv-rhs1-lhs1],Failed: DID NOT RAISE ,failed -2022,tests.integ.modin.frame.test_apply,test_basic_dataframe_transform[data5-sqrt-None],Failed: DID NOT RAISE ,failed -2023,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_df_col_df_key_set_coordinates[row_pos2-df-col_pos2-df],"ValueError: Buffer has wrong number of dimensions (expected 1, got 2)",failed -2025,tests.integ.modin.binary.test_binary_not_implemented,test_binary_op_dot[-DataFrame1],Failed: DID NOT RAISE ,failed -2026,tests.integ.modin.frame.test_insert,test_insert_multiple_null,ValueError: cannot reindex on an axis with duplicate labels,failed -2030,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[mean0-columns-True],AttributeError: can't set attribute,failed -2033,tests.integ.modin.frame.test_apply,test_basic_dataframe_transform[data7-log-None],Failed: DID NOT RAISE ,failed -2041,tests.integ.modin.frame.test_apply,test_basic_dataframe_transform[data9-square-None],Failed: DID NOT RAISE ,failed -2042,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[mean0-columns-False],AttributeError: can't set attribute,failed -2050,tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series_div_by_zero_negative[truediv-rhs1-lhs2],ZeroDivisionError: float division by zero,failed -2052,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_df_col_df_key_set_coordinates[row_pos3-df-col_pos3-tuple],"ValueError: Buffer has wrong number of dimensions (expected 1, got 2)",failed -2057,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[mean1-0-True],AttributeError: can't set attribute,failed -2075,tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series_div_by_zero_negative[truediv-rhs1-lhs3],ZeroDivisionError: float division by zero,failed -2082,tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series_div_by_zero_negative[truediv-rhs1-lhs4],Failed: DID NOT RAISE ,failed -2084,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[mean1-0-False],AttributeError: can't set attribute,failed -2091,tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series_div_by_zero_negative[truediv-rhs2-lhs0],Failed: DID NOT RAISE ,failed -2097,tests.integ.modin.test_apply_snowpark_python_functions,test_apply_trunc_scale[-1],"TypeError: 'TRUNC' expected Column or str, got: ",failed -2100,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[mean1-1-True],AttributeError: can't set attribute,failed -2101,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_df_col_df_key_set_coordinates[row_pos4-df-col_pos4-na],"ValueError: Buffer has wrong number of dimensions (expected 1, got 2)",failed -2102,tests.integ.modin.frame.test_apply,test_dataframe_transform_invalid_function_name_negative,AttributeError: 'mxyzptlk' is not a valid function for 'DataFrame' object,failed -2103,tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series_div_by_zero_negative[truediv-rhs2-lhs1],Failed: DID NOT RAISE ,failed -2113,tests.integ.modin.frame.test_apply,test_dataframe_transform_invalid_types_negative[1],"AssertionError: Regex pattern did not match. - Regex: 'object is not callable' - Input: ""One of the passed functions has an invalid type: : 1, only callable or string is acceptable.""",failed -2118,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[mean1-1-False],AttributeError: can't set attribute,failed -2126,tests.integ.modin.frame.test_apply,test_dataframe_transform_invalid_types_negative[2.5],"AssertionError: Regex pattern did not match. - Regex: 'object is not callable' - Input: ""One of the passed functions has an invalid type: : 2.5, only callable or string is acceptable.""",failed -2133,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[mean1-index-True],AttributeError: can't set attribute,failed -2135,tests.integ.modin.frame.test_apply,test_dataframe_transform_invalid_types_negative[True],"AssertionError: Regex pattern did not match. - Regex: 'object is not callable' - Input: ""One of the passed functions has an invalid type: : True, only callable or string is acceptable.""",failed -2137,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_df_col_df_key_set_coordinates[row_pos5-tuple-col_pos5-df],"ValueError: Buffer has wrong number of dimensions (expected 1, got 2)",failed -2144,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[mean1-index-False],AttributeError: can't set attribute,failed -2154,tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series_div_by_zero_negative[truediv-rhs2-lhs2],ZeroDivisionError: float division by zero,failed -2156,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[mean1-columns-True],AttributeError: can't set attribute,failed -2160,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_df_col_df_key_set_coordinates[row_pos6-na-col_pos6-df],"ValueError: Buffer has wrong number of dimensions (expected 1, got 2)",failed -2171,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[mean1-columns-False],AttributeError: can't set attribute,failed -2178,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_key_series_rhs_dataframe_mismatch_pandas[row_pos0-col_pos0-snow_item0-native_item0],"AssertionError: DataFrame.iloc[:, 0] (column name=""A"") are different +Series values are different (60.0 %) +[index]: [0, 1, 2, 3, 4] +[left]: [nan, nan, nan, nan, nan] +[right]: [1.0, 1.0, nan, 17.0, nan] +At positional index 0, first diff: nan != 1.0",failed +tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_between_series_and_scalar_nan[10.001-mod],"AssertionError: Series are different -DataFrame.iloc[:, 0] (column name=""A"") values are different (75.0 %) -[index]: [0, 1, 2, 3] -[left]: [nan, nan, 11.0, nan] -[right]: [95, 92, 11, 98]",failed -2183,tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series_div_by_zero_negative[truediv-rhs2-lhs3],ZeroDivisionError: float division by zero,failed -2191,tests.integ.modin.frame.test_insert,test_insert_into_empty_dataframe_index_dtype_mismatch,Failed: DID NOT RAISE ,failed -2192,tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series_div_by_zero_negative[truediv-rhs2-lhs4],Failed: DID NOT RAISE ,failed -2197,tests.integ.modin.test_apply_snowpark_python_functions,test_apply_trunc_scale[0],"TypeError: 'TRUNC' expected Column or str, got: ",failed -2200,tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series_div_by_zero_negative[truediv-rhs3-lhs0],Failed: DID NOT RAISE ,failed -2203,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[min0-0-True],AttributeError: can't set attribute,failed -2207,tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_method_number_scalar_negative[0],Failed: DID NOT RAISE ,failed -2208,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_key_series_rhs_dataframe_mismatch_pandas[row_pos2-col_pos2-snow_item2-native_item2],"AssertionError: DataFrame.iloc[:, 0] (column name=""A"") are different +Series values are different (60.0 %) +[index]: [0, 1, 2, 3, 4] +[left]: [nan, nan, nan, nan, nan] +[right]: [3.9990000000000006, 6.799000000000001, nan, 4.983000000000009, nan] +At positional index 0, first diff: nan != 3.9990000000000006",failed +tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_between_series_and_scalar_nan[10.001-mul],"AssertionError: Series are different -DataFrame.iloc[:, 0] (column name=""A"") values are different (75.0 %) -[index]: [0, 1, 2, 3] -[left]: [5.0, nan, nan, nan] -[right]: [5, 92, 95, 95]",failed -2210,tests.integ.modin.frame.test_getitem,test_df_getitem_with_boolean_list_like[key4],TypeError: unhashable type: 'Index',failed -2213,tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series_div_by_zero_negative[truediv-rhs3-lhs1],Failed: DID NOT RAISE ,failed -2215,tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_method_number_scalar_negative[1],Failed: DID NOT RAISE ,failed -2218,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[min0-0-False],AttributeError: can't set attribute,failed -2220,tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_method_number_scalar_negative[2],Failed: DID NOT RAISE ,failed -2224,tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_method_number_scalar_negative[3],Failed: DID NOT RAISE ,failed -2228,tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_method_number_scalar_negative[4],Failed: DID NOT RAISE ,failed -2231,tests.integ.modin.frame.test_getitem,test_df_getitem_with_boolean_list_like[key5],ValueError: Item wrong length 1 instead of 7.,failed -2234,tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_method_number_scalar_negative[5],Failed: DID NOT RAISE ,failed -2235,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[min0-1-True],AttributeError: can't set attribute,failed -2238,tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_method_number_scalar_negative[6],Failed: DID NOT RAISE ,failed -2240,tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series_div_by_zero_negative[truediv-rhs3-lhs2],ZeroDivisionError: float division by zero,failed -2244,tests.integ.modin.binary.test_binary_op,test_binary_pow_scalar_different_from_pandas,"AssertionError: Attributes of Series are different +Series values are different (60.0 %) +[index]: [0, 1, 2, 3, 4] +[left]: [nan, nan, nan, nan, nan] +[right]: [140.01399999999998, 168.0168, nan, 1750.175, nan] +At positional index 0, first diff: nan != 140.01399999999998",failed +tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_between_series_and_scalar_nan[10.001-pow],"AssertionError: Series are different -Attribute ""dtype"" are different -[left]: int64 -[right]: float64",failed -2246,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_key_series_rhs_dataframe_mismatch_pandas[row_pos3-col_pos3-snow_item3-native_item3],"AssertionError: DataFrame.iloc[:, 0] (column name=""A"") are different +Series values are different (60.0 %) +[index]: [0, 1, 2, 3, 4] +[left]: [nan, nan, nan, nan, nan] +[right]: [290019022754.90625, 1796048774939.5837, nan, 2.7078432771126627e+22, nan] +At positional index 0, first diff: nan != 290019022754.90625",failed +tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_between_series_and_scalar_nan[10.001-radd],"AssertionError: Series are different -DataFrame.iloc[:, 0] (column name=""A"") values are different (75.0 %) -[index]: [0, 1, 2, 3] -[left]: [5.0, nan, nan, nan] -[right]: [5, 95, 98, 92]",failed -2248,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[min0-1-False],AttributeError: can't set attribute,failed -2255,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[min0-index-True],AttributeError: can't set attribute,failed -2259,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_key_series_rhs_dataframe_mismatch_pandas[row_pos4-col_pos4-snow_item4-native_item4],"AssertionError: DataFrame.iloc[:, 0] (column name=""A"") are different +Series values are different (60.0 %) +[index]: [0, 1, 2, 3, 4] +[left]: [nan, nan, nan, nan, nan] +[right]: [24.000999999999998, 26.801000000000002, nan, 185.001, nan] +At positional index 0, first diff: nan != 24.000999999999998",failed +tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_between_series_and_scalar_nan[10.001-rfloordiv],"AssertionError: Series are different -DataFrame.iloc[:, 0] (column name=""A"") values are different (100.0 %) -[index]: [0, 1, 2, 3] -[left]: [nan, nan, nan, nan] -[right]: [91, 92, 93, 93]",failed -2263,tests.integ.modin.frame.test_getitem,test_df_getitem_with_boolean_list_like[key6],ValueError: Item wrong length 8 instead of 7.,failed -2267,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[min0-index-False],AttributeError: can't set attribute,failed -2274,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_key_series_rhs_dataframe_mismatch_pandas[row_pos5-col_pos5-snow_item5-native_item5],"AssertionError: DataFrame.iloc[:, 0] (column name=""A"") are different +Series values are different (60.0 %) +[index]: [0, 1, 2, 3, 4] +[left]: [nan, nan, nan, nan, nan] +[right]: [0.0, 0.0, nan, 0.0, nan] +At positional index 0, first diff: nan != 0.0",failed +tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_between_series_and_scalar_nan[10.001-rmod],"AssertionError: Series are different -DataFrame.iloc[:, 0] (column name=""A"") values are different (50.0 %) -[index]: [0, 1, 2, 3] -[left]: [nan, nan, 11.0, 14.0] -[right]: [91, 92, 11, 14]",failed -2280,tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series_div_by_zero_negative[truediv-rhs3-lhs3],ZeroDivisionError: float division by zero,failed -2284,tests.integ.modin.test_apply_snowpark_python_functions,test_apply_trunc_scale[1],"TypeError: 'TRUNC' expected Column or str, got: ",failed -2288,tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series_div_by_zero_negative[truediv-rhs3-lhs4],Failed: DID NOT RAISE ,failed -2290,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_key_series_rhs_dataframe_mismatch_pandas[row_pos6-col_pos6-snow_item6-native_item6],"AssertionError: DataFrame.iloc[:, 0] (column name=""A"") are different +Series values are different (60.0 %) +[index]: [0, 1, 2, 3, 4] +[left]: [nan, nan, nan, nan, nan] +[right]: [10.001, 10.001, nan, 10.001, nan] +At positional index 0, first diff: nan != 10.001",failed +tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_between_series_and_scalar_nan[10.001-rmul],"AssertionError: Series are different -DataFrame.iloc[:, 0] (column name=""A"") values are different (50.0 %) -[index]: [0, 1, 2, 3] -[left]: [nan, 8.0, nan, 14.0] -[right]: [91, 8, 92, 14]",failed -2291,tests.integ.modin.frame.test_getitem,test_df_getitem_with_boolean_list_like[key7],TypeError: unhashable type: 'Index',failed -2294,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[min0-columns-True],AttributeError: can't set attribute,failed -2295,tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series_div_by_zero_negative[floordiv-rhs0-lhs0],Failed: DID NOT RAISE ,failed -2301,tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series_div_by_zero_negative[floordiv-rhs0-lhs1],Failed: DID NOT RAISE ,failed -2306,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[min0-columns-False],AttributeError: can't set attribute,failed -2307,tests.integ.modin.frame.test_getitem,test_df_getitem_with_boolean_list_like[key8],ValueError: Item wrong length 0 instead of 7.,failed -2313,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_key_series_rhs_dataframe_mismatch_pandas[row_pos7-col_pos7-snow_item7-native_item7],IndexError: index 4 is out of bounds for axis 0 with size 4,failed -2319,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[min1-0-True],AttributeError: can't set attribute,failed -2324,tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series_div_by_zero_negative[floordiv-rhs0-lhs2],ZeroDivisionError: float floor division by zero,failed -2327,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_key_series_rhs_dataframe_mismatch_pandas[row_pos8-col_pos8-snow_item8-native_item8],"AssertionError: DataFrame.iloc[:, 0] (column name=""A"") are different +Series values are different (60.0 %) +[index]: [0, 1, 2, 3, 4] +[left]: [nan, nan, nan, nan, nan] +[right]: [140.01399999999998, 168.0168, nan, 1750.175, nan] +At positional index 0, first diff: nan != 140.01399999999998",failed +tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_between_series_and_scalar_nan[10.001-rpow],"AssertionError: Series are different -DataFrame.iloc[:, 0] (column name=""A"") values are different (75.0 %) -[index]: [0, 1, 2, 3] -[left]: [5.0, nan, nan, nan] -[right]: [5, 8, 11, 14]",failed -2330,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[min1-0-False],AttributeError: can't set attribute,failed -2335,tests.integ.modin.frame.test_apply,test_with_duplicates_negative,ValueError: cannot reindex on an axis with duplicate labels,failed -2341,tests.integ.modin.frame.test_getitem,test_df_getitem_with_string_list_like[key1],TypeError: unhashable type: 'Index',failed -2346,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[min1-1-True],AttributeError: can't set attribute,failed -2356,tests.integ.modin.frame.test_apply,test_apply_axis_1_with_if_where_duplicates_not_executed[data0-1],TypeError: test_apply_axis_1_with_if_where_duplicates_not_executed..foo() got an unexpected keyword argument 'snowpark_pandas_partition_size',failed -2357,tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_method_string_scalar_negative[0],AssertionError: exception type does not match with expected type ,failed -2359,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[min1-1-False],AttributeError: can't set attribute,failed -2361,tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_method_string_scalar_negative[1],AssertionError: exception type does not match with expected type ,failed -2366,tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_method_array_scalar,Failed: DID NOT RAISE ,failed -2369,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[min1-index-True],AttributeError: can't set attribute,failed -2370,tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series_div_by_zero_negative[floordiv-rhs0-lhs3],ZeroDivisionError: float floor division by zero,failed -2375,tests.integ.modin.frame.test_getitem,test_df_getitem_with_int_list_like[key1],TypeError: unhashable type: 'Index',failed -2376,tests.integ.modin.frame.test_apply,test_apply_axis_1_with_if_where_duplicates_not_executed[data0-2],TypeError: test_apply_axis_1_with_if_where_duplicates_not_executed..foo() got an unexpected keyword argument 'snowpark_pandas_partition_size',failed -2380,tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series_div_by_zero_negative[floordiv-rhs0-lhs4],Failed: DID NOT RAISE ,failed -2387,tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series_div_by_zero_negative[floordiv-rhs1-lhs0],Failed: DID NOT RAISE ,failed -2392,tests.integ.modin.test_apply_snowpark_python_functions,test_apply_trunc_scale[2],"TypeError: 'TRUNC' expected Column or str, got: ",failed -2396,tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series_div_by_zero_negative[floordiv-rhs1-lhs1],Failed: DID NOT RAISE ,failed -2404,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[min1-index-False],AttributeError: can't set attribute,failed -2418,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[min1-columns-True],AttributeError: can't set attribute,failed -2420,tests.integ.modin.frame.test_apply,test_apply_axis_1_with_if_where_duplicates_not_executed[data1-1],TypeError: test_apply_axis_1_with_if_where_duplicates_not_executed..foo() got an unexpected keyword argument 'snowpark_pandas_partition_size',failed -2424,tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series_div_by_zero_negative[floordiv-rhs1-lhs2],ZeroDivisionError: float floor division by zero,failed -2429,tests.integ.modin.frame.test_insert,test_insert_multiindex_column[columns4-insert_label2],ValueError: Item must have length equal to number of levels.,failed -2431,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[min1-columns-False],AttributeError: can't set attribute,failed -2437,tests.integ.modin.binary.test_binary_op,test_binary_method_numpy_and_pandas_type_scalar[data3-scalars3],"assert [False, False, False, False] == [None, None, None, None] - At index 0 diff: False != None - Full diff: - - [None, None, None, None] - + [False, False, False, False]",failed -2439,tests.integ.modin.frame.test_apply,test_apply_axis_1_with_if_where_duplicates_not_executed[data1-2],TypeError: test_apply_axis_1_with_if_where_duplicates_not_executed..foo() got an unexpected keyword argument 'snowpark_pandas_partition_size',failed -2443,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[amin-0-True],AttributeError: can't set attribute,failed -2448,tests.integ.modin.frame.test_insert,test_insert_multiindex_column[columns4-insert_label3],ValueError: Item must have length equal to number of levels.,failed -2455,tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series_div_by_zero_negative[floordiv-rhs1-lhs3],ZeroDivisionError: float floor division by zero,failed -2457,tests.integ.modin.frame.test_apply,test_numpy_integers_in_return_values_snow_1227264[return_value1],"[XPASS(strict)] SNOW-1229760: un-json-serializable np.int64 is nested inside the non-series return value, so we don't find the np.int64 or convert it to int",failed -2467,tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series_div_by_zero_negative[floordiv-rhs1-lhs4],Failed: DID NOT RAISE ,failed -2470,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[amin-0-False],AttributeError: can't set attribute,failed -2475,tests.integ.modin.frame.test_apply,test_apply_axis_1_frame_with_column_of_all_nulls_snow_1233832[None],[XPASS(strict)] SNOW-1233832,failed -2488,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[amin-1-True],AttributeError: can't set attribute,failed -2503,tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series_div_by_zero_negative[floordiv-rhs2-lhs0],Failed: DID NOT RAISE ,failed -2504,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[amin-1-False],AttributeError: can't set attribute,failed -2512,tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series_div_by_zero_negative[floordiv-rhs2-lhs1],Failed: DID NOT RAISE ,failed -2537,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[amin-index-True],AttributeError: can't set attribute,failed -2542,tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series_div_by_zero_negative[floordiv-rhs2-lhs2],ZeroDivisionError: float floor division by zero,failed -2552,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[amin-index-False],AttributeError: can't set attribute,failed -2559,tests.integ.modin.test_apply_snowpark_python_functions,test_apply_log_base,TypeError: log() got multiple values for argument 'base',failed -2567,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[amin-columns-True],AttributeError: can't set attribute,failed -2570,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_key_series_rhs_scalar[row_pos17-col_pos17-item_value17],ValueError: setting an array element with a sequence.,failed -2575,tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series_div_by_zero_negative[floordiv-rhs2-lhs3],ZeroDivisionError: float floor division by zero,failed -2585,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[amin-columns-False],AttributeError: can't set attribute,failed -2586,tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series_div_by_zero_negative[floordiv-rhs2-lhs4],Failed: DID NOT RAISE ,failed -2594,tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series_div_by_zero_negative[floordiv-rhs3-lhs0],Failed: DID NOT RAISE ,failed -2600,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[max0-0-True],AttributeError: can't set attribute,failed -2603,tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series_div_by_zero_negative[floordiv-rhs3-lhs1],Failed: DID NOT RAISE ,failed -2616,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[max0-0-False],AttributeError: can't set attribute,failed -2627,tests.integ.modin.frame.test_insert,test_insert_with_unique_and_duplicate_index_values[index_values0-other_index_values0-False],"AssertionError: DataFrame.index are different +Series values are different (60.0 %) +[index]: [0, 1, 2, 3, 4] +[left]: [nan, nan, nan, nan, nan] +[right]: [100140091036409.94, 6.320181906387712e+16, nan, 1.0176531317632308e+175, nan] +At positional index 0, first diff: nan != 100140091036409.94",failed +tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_between_series_and_scalar_nan[10.001-rsub],"AssertionError: Series are different -Attribute ""names"" are different -[left]: [None] -[right]: ['INDEX']",failed -2629,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[max0-1-True],AttributeError: can't set attribute,failed -2649,tests.integ.modin.frame.test_insert,test_insert_with_unique_and_duplicate_index_values[index_values1-other_index_values1-False],"AssertionError: DataFrame.index are different +Series values are different (60.0 %) +[index]: [0, 1, 2, 3, 4] +[left]: [nan, nan, nan, nan, nan] +[right]: [-3.9990000000000006, -6.799000000000001, nan, -164.999, nan] +At positional index 0, first diff: nan != -3.9990000000000006",failed +tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_between_series_and_scalar_nan[10.001-rtruediv],"AssertionError: Series are different -Attribute ""names"" are different -[left]: [None] -[right]: ['INDEX']",failed -2653,tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series_div_by_zero_negative[floordiv-rhs3-lhs2],ZeroDivisionError: float floor division by zero,failed -2661,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[max0-1-False],AttributeError: can't set attribute,failed -2667,tests.integ.modin.test_apply_snowpark_python_functions,test_apply_pass_base_as_column,"TypeError: 'LOG' expected Column or str, got: ",failed -2668,tests.integ.modin.frame.test_insert,test_insert_with_unique_and_duplicate_index_values[index_values2-other_index_values2-False],"AssertionError: DataFrame.index are different +Series values are different (60.0 %) +[index]: [0, 1, 2, 3, 4] +[left]: [nan, nan, nan, nan, nan] +[right]: [0.7143571428571428, 0.595297619047619, nan, 0.057148571428571424, nan] +At positional index 0, first diff: nan != 0.7143571428571428",failed +tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_between_series_and_scalar_nan[10.001-sub],"AssertionError: Series are different -Attribute ""names"" are different -[left]: [None] -[right]: ['INDEX']",failed -2673,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[max0-index-True],AttributeError: can't set attribute,failed -2676,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_key_series_empty_keys[item0-row_key1-col_key1],"ValueError: could not broadcast input array from shape (2,) into shape (2, 0)",failed -2681,tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series_div_by_zero_negative[floordiv-rhs3-lhs3],ZeroDivisionError: float floor division by zero,failed -2684,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[max0-index-False],AttributeError: can't set attribute,failed -2689,tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_division_between_series_div_by_zero_negative[floordiv-rhs3-lhs4],Failed: DID NOT RAISE ,failed -2694,tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_ops_between_series_with_booleans_negative[add-rhs0-lhs0],Failed: DID NOT RAISE ,failed -2696,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[max0-columns-True],AttributeError: can't set attribute,failed -2702,tests.integ.modin.frame.test_insert,test_insert_with_unique_and_duplicate_index_values[index_values3-other_index_values3-False],"AssertionError: DataFrame.index are different +Series values are different (60.0 %) +[index]: [0, 1, 2, 3, 4] +[left]: [nan, nan, nan, nan, nan] +[right]: [3.9990000000000006, 6.799000000000001, nan, 164.999, nan] +At positional index 0, first diff: nan != 3.9990000000000006",failed +tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_between_series_and_scalar_nan[10.001-truediv],"AssertionError: Series are different -Attribute ""names"" are different -[left]: [None] -[right]: ['INDEX']",failed -2704,tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_ops_between_series_with_booleans_negative[add-rhs1-lhs0],Failed: DID NOT RAISE ,failed -2710,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[max0-columns-False],AttributeError: can't set attribute,failed -2713,tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_ops_between_series_with_booleans_negative[add-rhs2-lhs0],Failed: DID NOT RAISE ,failed -2716,tests.integ.modin.test_apply_snowpark_python_functions,test_apply_snowpark_python_function_not_implemented,"TypeError: 'DESC' expected Column or str, got: ",failed -2722,tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_ops_between_series_with_booleans_negative[radd-rhs0-lhs0],Failed: DID NOT RAISE ,failed -2724,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[max1-0-True],AttributeError: can't set attribute,failed -2732,tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_ops_between_series_with_booleans_negative[radd-rhs1-lhs0],Failed: DID NOT RAISE ,failed -2738,tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_ops_between_series_with_booleans_negative[radd-rhs2-lhs0],Failed: DID NOT RAISE ,failed -2739,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[max1-0-False],AttributeError: can't set attribute,failed -2745,tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_ops_between_series_with_booleans_negative[sub-rhs0-lhs0],Failed: DID NOT RAISE ,failed -2751,tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_ops_between_series_with_booleans_negative[sub-rhs1-lhs0],Failed: DID NOT RAISE ,failed -2753,tests.integ.modin.frame.test_insert,test_insert_with_unique_and_duplicate_index_values[index_values4-other_index_values4-True],ValueError: cannot reindex on an axis with duplicate labels,failed -2757,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_key_series_empty_keys[item1-row_key1-col_key1],"ValueError: could not broadcast input array from shape (2,) into shape (2, 0)",failed -2760,tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_ops_between_series_with_booleans_negative[sub-rhs2-lhs0],Failed: DID NOT RAISE ,failed -2770,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[max1-1-True],AttributeError: can't set attribute,failed -2773,tests.integ.modin.frame.test_insert,test_insert_with_unique_and_duplicate_index_values[index_values5-other_index_values5-False],"AssertionError: DataFrame.index are different +Series values are different (60.0 %) +[index]: [0, 1, 2, 3, 4] +[left]: [nan, nan, nan, nan, nan] +[right]: [1.3998600139986002, 1.6798320167983203, nan, 17.498250174982502, nan] +At positional index 0, first diff: nan != 1.3998600139986002",failed +tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_with_non_scalar_fill_value_negative[fill_value0-add],"AssertionError: Regex pattern did not match. + Regex: 'Only scalars can be used as fill_value.' + Input: 'NumPy boolean array indexing assignment cannot assign 3 input values to the 1 output values where the mask is true'",failed +tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_with_non_scalar_fill_value_negative[fill_value0-floordiv],"AssertionError: Regex pattern did not match. + Regex: 'Only scalars can be used as fill_value.' + Input: 'NumPy boolean array indexing assignment cannot assign 3 input values to the 1 output values where the mask is true'",failed +tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_with_non_scalar_fill_value_negative[fill_value0-mod],"AssertionError: Regex pattern did not match. + Regex: 'Only scalars can be used as fill_value.' + Input: 'NumPy boolean array indexing assignment cannot assign 3 input values to the 1 output values where the mask is true'",failed +tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_with_non_scalar_fill_value_negative[fill_value0-mul],"AssertionError: Regex pattern did not match. + Regex: 'Only scalars can be used as fill_value.' + Input: 'NumPy boolean array indexing assignment cannot assign 3 input values to the 1 output values where the mask is true'",failed +tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_with_non_scalar_fill_value_negative[fill_value0-pow],"AssertionError: Regex pattern did not match. + Regex: 'Only scalars can be used as fill_value.' + Input: 'NumPy boolean array indexing assignment cannot assign 3 input values to the 1 output values where the mask is true'",failed +tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_with_non_scalar_fill_value_negative[fill_value0-radd],"AssertionError: Regex pattern did not match. + Regex: 'Only scalars can be used as fill_value.' + Input: 'NumPy boolean array indexing assignment cannot assign 3 input values to the 1 output values where the mask is true'",failed +tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_with_non_scalar_fill_value_negative[fill_value0-rfloordiv],"AssertionError: Regex pattern did not match. + Regex: 'Only scalars can be used as fill_value.' + Input: 'NumPy boolean array indexing assignment cannot assign 3 input values to the 1 output values where the mask is true'",failed +tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_with_non_scalar_fill_value_negative[fill_value0-rmod],"AssertionError: Regex pattern did not match. + Regex: 'Only scalars can be used as fill_value.' + Input: 'NumPy boolean array indexing assignment cannot assign 3 input values to the 1 output values where the mask is true'",failed +tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_with_non_scalar_fill_value_negative[fill_value0-rmul],"AssertionError: Regex pattern did not match. + Regex: 'Only scalars can be used as fill_value.' + Input: 'NumPy boolean array indexing assignment cannot assign 3 input values to the 1 output values where the mask is true'",failed +tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_with_non_scalar_fill_value_negative[fill_value0-rpow],"AssertionError: Regex pattern did not match. + Regex: 'Only scalars can be used as fill_value.' + Input: 'NumPy boolean array indexing assignment cannot assign 3 input values to the 1 output values where the mask is true'",failed +tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_with_non_scalar_fill_value_negative[fill_value0-rsub],"AssertionError: Regex pattern did not match. + Regex: 'Only scalars can be used as fill_value.' + Input: 'NumPy boolean array indexing assignment cannot assign 3 input values to the 1 output values where the mask is true'",failed +tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_with_non_scalar_fill_value_negative[fill_value0-rtruediv],"AssertionError: Regex pattern did not match. + Regex: 'Only scalars can be used as fill_value.' + Input: 'NumPy boolean array indexing assignment cannot assign 3 input values to the 1 output values where the mask is true'",failed +tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_with_non_scalar_fill_value_negative[fill_value0-sub],"AssertionError: Regex pattern did not match. + Regex: 'Only scalars can be used as fill_value.' + Input: 'NumPy boolean array indexing assignment cannot assign 3 input values to the 1 output values where the mask is true'",failed +tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_with_non_scalar_fill_value_negative[fill_value0-truediv],"AssertionError: Regex pattern did not match. + Regex: 'Only scalars can be used as fill_value.' + Input: 'NumPy boolean array indexing assignment cannot assign 3 input values to the 1 output values where the mask is true'",failed +tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_with_non_scalar_fill_value_negative[fill_value1-add],"AssertionError: Regex pattern did not match. + Regex: 'Only scalars can be used as fill_value.' + Input: 'NumPy boolean array indexing assignment cannot assign 0 input values to the 1 output values where the mask is true'",failed +tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_with_non_scalar_fill_value_negative[fill_value1-floordiv],"AssertionError: Regex pattern did not match. + Regex: 'Only scalars can be used as fill_value.' + Input: 'NumPy boolean array indexing assignment cannot assign 0 input values to the 1 output values where the mask is true'",failed +tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_with_non_scalar_fill_value_negative[fill_value1-mod],"AssertionError: Regex pattern did not match. + Regex: 'Only scalars can be used as fill_value.' + Input: 'NumPy boolean array indexing assignment cannot assign 0 input values to the 1 output values where the mask is true'",failed +tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_with_non_scalar_fill_value_negative[fill_value1-mul],"AssertionError: Regex pattern did not match. + Regex: 'Only scalars can be used as fill_value.' + Input: 'NumPy boolean array indexing assignment cannot assign 0 input values to the 1 output values where the mask is true'",failed +tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_with_non_scalar_fill_value_negative[fill_value1-pow],"AssertionError: Regex pattern did not match. + Regex: 'Only scalars can be used as fill_value.' + Input: 'NumPy boolean array indexing assignment cannot assign 0 input values to the 1 output values where the mask is true'",failed +tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_with_non_scalar_fill_value_negative[fill_value1-radd],"AssertionError: Regex pattern did not match. + Regex: 'Only scalars can be used as fill_value.' + Input: 'NumPy boolean array indexing assignment cannot assign 0 input values to the 1 output values where the mask is true'",failed +tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_with_non_scalar_fill_value_negative[fill_value1-rfloordiv],"AssertionError: Regex pattern did not match. + Regex: 'Only scalars can be used as fill_value.' + Input: 'NumPy boolean array indexing assignment cannot assign 0 input values to the 1 output values where the mask is true'",failed +tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_with_non_scalar_fill_value_negative[fill_value1-rmod],"AssertionError: Regex pattern did not match. + Regex: 'Only scalars can be used as fill_value.' + Input: 'NumPy boolean array indexing assignment cannot assign 0 input values to the 1 output values where the mask is true'",failed +tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_with_non_scalar_fill_value_negative[fill_value1-rmul],"AssertionError: Regex pattern did not match. + Regex: 'Only scalars can be used as fill_value.' + Input: 'NumPy boolean array indexing assignment cannot assign 0 input values to the 1 output values where the mask is true'",failed +tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_with_non_scalar_fill_value_negative[fill_value1-rpow],"AssertionError: Regex pattern did not match. + Regex: 'Only scalars can be used as fill_value.' + Input: 'NumPy boolean array indexing assignment cannot assign 0 input values to the 1 output values where the mask is true'",failed +tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_with_non_scalar_fill_value_negative[fill_value1-rsub],"AssertionError: Regex pattern did not match. + Regex: 'Only scalars can be used as fill_value.' + Input: 'NumPy boolean array indexing assignment cannot assign 0 input values to the 1 output values where the mask is true'",failed +tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_with_non_scalar_fill_value_negative[fill_value1-rtruediv],"AssertionError: Regex pattern did not match. + Regex: 'Only scalars can be used as fill_value.' + Input: 'NumPy boolean array indexing assignment cannot assign 0 input values to the 1 output values where the mask is true'",failed +tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_with_non_scalar_fill_value_negative[fill_value1-sub],"AssertionError: Regex pattern did not match. + Regex: 'Only scalars can be used as fill_value.' + Input: 'NumPy boolean array indexing assignment cannot assign 0 input values to the 1 output values where the mask is true'",failed +tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_with_non_scalar_fill_value_negative[fill_value1-truediv],"AssertionError: Regex pattern did not match. + Regex: 'Only scalars can be used as fill_value.' + Input: 'NumPy boolean array indexing assignment cannot assign 0 input values to the 1 output values where the mask is true'",failed +tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_with_single_element_list_like_fill_value_negative[add],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_with_single_element_list_like_fill_value_negative[floordiv],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_with_single_element_list_like_fill_value_negative[mod],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_with_single_element_list_like_fill_value_negative[mul],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_with_single_element_list_like_fill_value_negative[pow],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_with_single_element_list_like_fill_value_negative[radd],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_with_single_element_list_like_fill_value_negative[rfloordiv],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_with_single_element_list_like_fill_value_negative[rmod],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_with_single_element_list_like_fill_value_negative[rmul],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_with_single_element_list_like_fill_value_negative[rpow],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_with_single_element_list_like_fill_value_negative[rsub],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_with_single_element_list_like_fill_value_negative[rtruediv],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_with_single_element_list_like_fill_value_negative[sub],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_with_single_element_list_like_fill_value_negative[truediv],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_binary_bitwise_op_on_df[df10-df20--expected0],"AssertionError: DataFrame.iloc[:, 1] (column name=""1"") are different -Attribute ""names"" are different -[left]: [None] -[right]: ['INDEX']",failed -2781,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[max1-1-False],AttributeError: can't set attribute,failed -2787,tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_ops_between_series_with_booleans_negative[rsub-rhs0-lhs0],Failed: DID NOT RAISE ,failed -2791,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_empty_df[row_key0-col_key0-item0],AssertionError: cannot find the length of the indexer,failed -2794,tests.integ.modin.frame.test_insert,test_insert_with_unique_and_duplicate_index_values[index_values6-other_index_values6-False],"AssertionError: DataFrame.index are different +DataFrame.iloc[:, 1] (column name=""1"") values are different (66.66667 %) +[index]: [0, 1, 2] +[left]: [False, False, False] +[right]: [None, False, None]",failed +tests.integ.modin.binary.test_binary_op,test_binary_bitwise_op_on_df[df10-df20--expected1],"AssertionError: DataFrame.iloc[:, 0] (column name=""0"") are different -Attribute ""names"" are different -[left]: [None] -[right]: ['INDEX']",failed -2795,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[max1-index-True],AttributeError: can't set attribute,failed -2796,tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_ops_between_series_with_booleans_negative[rsub-rhs1-lhs0],Failed: DID NOT RAISE ,failed -2798,tests.integ.modin.frame.test_head_tail,test_head_tail[1],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed -2802,tests.integ.modin.binary.test_binary_op,test_binary_comparison_between_non_supported_types[gt-data0-s],AssertionError: exception type does not match with expected type ,failed -2805,tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_ops_between_series_with_booleans_negative[rsub-rhs2-lhs0],Failed: DID NOT RAISE ,failed -2806,tests.integ.modin.binary.test_binary_op,test_binary_comparison_between_non_supported_types[gt-data1-s],AssertionError: exception type does not match with expected type ,failed -2807,tests.integ.modin.frame.test_head_tail,test_head_tail[None],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed -2808,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[max1-index-False],AttributeError: can't set attribute,failed -2810,tests.integ.modin.binary.test_binary_op,test_binary_comparison_between_non_supported_types[gt-data2-s],AssertionError: exception type does not match with expected type ,failed -2813,tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_ops_between_series_with_booleans_negative[mul-rhs0-lhs0],Failed: DID NOT RAISE ,failed -2814,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_empty_df[row_key1-col_key1-item1],AssertionError: cannot find the length of the indexer,failed -2815,tests.integ.modin.frame.test_head_tail,test_head_tail[0],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed -2818,tests.integ.modin.frame.test_insert,test_insert_with_unique_and_duplicate_index_values[index_values7-other_index_values7-False],"AssertionError: DataFrame.index are different +DataFrame.iloc[:, 0] (column name=""0"") values are different (66.66667 %) +[index]: [0, 1, 2] +[left]: [True, False, False] +[right]: [True, None, None]",failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_between_non_supported_types[ge-data0-s],AssertionError: exception type does not match with expected type ,failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_between_non_supported_types[ge-data1-s],AssertionError: exception type does not match with expected type ,failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_between_non_supported_types[ge-data2-s],AssertionError: exception type does not match with expected type ,failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_between_non_supported_types[ge-data3-s],AssertionError: exception type does not match with expected type ,failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_between_non_supported_types[ge-data4-1672560000.0],AssertionError: exception type does not match with expected type ,failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_between_non_supported_types[gt-data0-s],AssertionError: exception type does not match with expected type ,failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_between_non_supported_types[gt-data1-s],AssertionError: exception type does not match with expected type ,failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_between_non_supported_types[gt-data2-s],AssertionError: exception type does not match with expected type ,failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_between_non_supported_types[gt-data3-s],AssertionError: exception type does not match with expected type ,failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_between_non_supported_types[gt-data4-1672560000.0],AssertionError: exception type does not match with expected type ,failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_between_non_supported_types[le-data0-s],AssertionError: exception type does not match with expected type ,failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_between_non_supported_types[le-data1-s],AssertionError: exception type does not match with expected type ,failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_between_non_supported_types[le-data2-s],AssertionError: exception type does not match with expected type ,failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_between_non_supported_types[le-data3-s],AssertionError: exception type does not match with expected type ,failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_between_non_supported_types[le-data4-1672560000.0],AssertionError: exception type does not match with expected type ,failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_between_non_supported_types[lt-data0-s],AssertionError: exception type does not match with expected type ,failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_between_non_supported_types[lt-data1-s],AssertionError: exception type does not match with expected type ,failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_between_non_supported_types[lt-data2-s],AssertionError: exception type does not match with expected type ,failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_between_non_supported_types[lt-data3-s],AssertionError: exception type does not match with expected type ,failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_between_non_supported_types[lt-data4-1672560000.0],AssertionError: exception type does not match with expected type ,failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_different_types[eq],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_different_types[ge],TypeError: '>=' not supported between instances of 'str' and 'int',failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_different_types[gt],TypeError: '>' not supported between instances of 'str' and 'int',failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_different_types[le],TypeError: '<=' not supported between instances of 'str' and 'int',failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_different_types[lt],TypeError: '<' not supported between instances of 'str' and 'int',failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_different_types[ne],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[eq-rhs0-lhs0],"AssertionError: Series are different -Attribute ""names"" are different -[left]: [None] -[right]: ['INDEX']",failed -2819,tests.integ.modin.binary.test_binary_op,test_binary_comparison_between_non_supported_types[gt-data3-s],AssertionError: exception type does not match with expected type ,failed -2821,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[max1-columns-True],AttributeError: can't set attribute,failed -2822,tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_ops_between_series_with_booleans_negative[mul-rhs1-lhs0],Failed: DID NOT RAISE ,failed -2824,tests.integ.modin.binary.test_binary_op,test_binary_comparison_between_non_supported_types[gt-data4-1672560000.0],AssertionError: exception type does not match with expected type ,failed -2826,tests.integ.modin.frame.test_head_tail,test_head_tail[-1],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed -2828,tests.integ.modin.binary.test_binary_op,test_binary_comparison_between_non_supported_types[ge-data0-s],AssertionError: exception type does not match with expected type ,failed -2830,tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_ops_between_series_with_booleans_negative[mul-rhs2-lhs0],Failed: DID NOT RAISE ,failed -2833,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[max1-columns-False],AttributeError: can't set attribute,failed -2834,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_empty_df[row_key2-col_key2-item2],AssertionError: cannot find the length of the indexer,failed -2835,tests.integ.modin.frame.test_head_tail,test_head_tail[-10],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed -2836,tests.integ.modin.binary.test_binary_op,test_binary_comparison_between_non_supported_types[ge-data1-s],AssertionError: exception type does not match with expected type ,failed -2839,tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_ops_between_series_with_booleans_negative[rmul-rhs0-lhs0],Failed: DID NOT RAISE ,failed -2840,tests.integ.modin.binary.test_binary_op,test_binary_comparison_between_non_supported_types[ge-data2-s],AssertionError: exception type does not match with expected type ,failed -2843,tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_ops_between_series_with_booleans_negative[rmul-rhs1-lhs0],Failed: DID NOT RAISE ,failed -2844,tests.integ.modin.frame.test_head_tail,test_head_tail[5],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed -2845,tests.integ.modin.binary.test_binary_op,test_binary_comparison_between_non_supported_types[ge-data3-s],AssertionError: exception type does not match with expected type ,failed -2846,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[amax-0-True],AttributeError: can't set attribute,failed -2850,tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_ops_between_series_with_booleans_negative[rmul-rhs2-lhs0],Failed: DID NOT RAISE ,failed -2851,tests.integ.modin.binary.test_binary_op,test_binary_comparison_between_non_supported_types[ge-data4-1672560000.0],AssertionError: exception type does not match with expected type ,failed -2852,tests.integ.modin.frame.test_head_tail,test_head_tail[10],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed -2853,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_empty_df[row_key3-col_key3-item3],AssertionError: cannot find the length of the indexer,failed -2858,tests.integ.modin.binary.test_binary_op,test_binary_comparison_between_non_supported_types[lt-data0-s],AssertionError: exception type does not match with expected type ,failed -2861,tests.integ.modin.frame.test_head_tail,test_empty_dataframe[1],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed -2862,tests.integ.modin.frame.test_insert,test_insert_with_unique_and_duplicate_index_values[index_values8-other_index_values8-True],ValueError: cannot reindex on an axis with duplicate labels,failed -2863,tests.integ.modin.binary.test_binary_op,test_binary_comparison_between_non_supported_types[lt-data1-s],AssertionError: exception type does not match with expected type ,failed -2867,tests.integ.modin.binary.test_binary_op,test_binary_comparison_between_non_supported_types[lt-data2-s],AssertionError: exception type does not match with expected type ,failed -2868,tests.integ.modin.frame.test_head_tail,test_empty_dataframe[None],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed -2870,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_empty_df[row_key4-col_key4-item4],AssertionError: cannot find the length of the indexer,failed -2871,tests.integ.modin.binary.test_binary_op,test_binary_comparison_between_non_supported_types[lt-data3-s],AssertionError: exception type does not match with expected type ,failed -2875,tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_ops_between_series_with_booleans_negative[truediv-rhs0-lhs0],ZeroDivisionError: division by zero,failed -2876,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[amax-0-False],AttributeError: can't set attribute,failed -2877,tests.integ.modin.binary.test_binary_op,test_binary_comparison_between_non_supported_types[lt-data4-1672560000.0],AssertionError: exception type does not match with expected type ,failed -2880,tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_ops_between_series_with_booleans_negative[truediv-rhs1-lhs0],Failed: DID NOT RAISE ,failed -2884,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[amax-1-True],AttributeError: can't set attribute,failed -2885,tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_ops_between_series_with_booleans_negative[truediv-rhs2-lhs0],Failed: DID NOT RAISE ,failed -2887,tests.integ.modin.frame.test_head_tail,test_empty_dataframe[0],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed -2892,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[amax-1-False],AttributeError: can't set attribute,failed -2893,tests.integ.modin.frame.test_head_tail,test_empty_dataframe[-1],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed -2895,tests.integ.modin.binary.test_binary_op,test_binary_comparison_between_non_supported_types[le-data0-s],AssertionError: exception type does not match with expected type ,failed -2899,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_empty_df[row_key5-col_key5-item5],AssertionError: cannot find the length of the indexer,failed -2901,tests.integ.modin.frame.test_head_tail,test_empty_dataframe[-10],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed -2907,tests.integ.modin.binary.test_binary_op,test_binary_comparison_between_non_supported_types[le-data1-s],AssertionError: exception type does not match with expected type ,failed -2916,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[amax-index-True],AttributeError: can't set attribute,failed -2918,tests.integ.modin.frame.test_head_tail,test_empty_dataframe[5],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed -2920,tests.integ.modin.binary.test_binary_op,test_binary_comparison_between_non_supported_types[le-data2-s],AssertionError: exception type does not match with expected type ,failed -2925,tests.integ.modin.frame.test_insert,test_insert_with_unique_and_duplicate_index_values[index_values9-other_index_values9-True],ValueError: cannot reindex on an axis with duplicate labels,failed -2933,tests.integ.modin.binary.test_binary_op,test_binary_comparison_between_non_supported_types[le-data3-s],AssertionError: exception type does not match with expected type ,failed -2934,tests.integ.modin.frame.test_head_tail,test_empty_dataframe[10],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed -2936,tests.integ.modin.test_concat,test_concat_mixed_objs[1-inner],"AssertionError: DataFrame.columns are different +Series values are different (5.55556 %) +[index]: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17] +[left]: [True, True, True, True, True, True, False, True, True, True, True, True, True, True, True, True, True, True] +[right]: [True, True, True, True, True, True, , True, True, True, True, True, True, True, True, True, True, True]",failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[eq-rhs0-lhs1],"AssertionError: Series are different -DataFrame.columns values are different (50.0 %) -[left]: Index([0, 0], dtype='int64') -[right]: RangeIndex(start=0, stop=2, step=1) -At positional index 1, first diff: 0 != 1",failed -2937,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_empty_df[row_key6-col_key6-item6],AssertionError: cannot find the length of the indexer,failed -2938,tests.integ.modin.binary.test_binary_op,test_binary_comparison_between_non_supported_types[le-data4-1672560000.0],AssertionError: exception type does not match with expected type ,failed -2939,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[amax-index-False],AttributeError: can't set attribute,failed -2940,tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_ops_between_series_with_booleans_negative[rtruediv-rhs0-lhs0],ZeroDivisionError: division by zero,failed -2941,tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive0-sub],[XPASS(strict)] SNOW-1646604,failed -2942,tests.integ.modin.test_concat,test_concat_mixed_objs[1-outer],"AssertionError: DataFrame.columns are different +Series values are different (11.11111 %) +[index]: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17] +[left]: [False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False] +[right]: [False, False, False, False, False, False, , False, False, False, False, False, , False, False, False, False, False]",failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[eq-rhs0-lhs2],TypeError: boolean value of NA is ambiguous,failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[eq-rhs0-lhs3],TypeError: boolean value of NA is ambiguous,failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[eq-rhs1-lhs0],"AssertionError: Series are different -DataFrame.columns values are different (50.0 %) -[left]: Index([0, 0], dtype='int64') -[right]: RangeIndex(start=0, stop=2, step=1) -At positional index 1, first diff: 0 != 1",failed -2944,tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive0-add],[XPASS(strict)] SNOW-1646604,failed -2947,tests.integ.modin.test_concat,test_concat_series_names_axis1[None-None-expected_columns0],"AssertionError: DataFrame.columns are different +Series values are different (11.11111 %) +[index]: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17] +[left]: [False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False] +[right]: [False, False, False, False, False, False, , False, False, False, False, False, , False, False, False, False, False]",failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[eq-rhs1-lhs1],"AssertionError: Series are different -DataFrame.columns values are different (50.0 %) -[left]: Index([0, 0], dtype='int64') -[right]: RangeIndex(start=0, stop=2, step=1) -At positional index 1, first diff: 0 != 1",failed -2949,tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive0-div],[XPASS(strict)] SNOW-1646604,failed -2954,tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive0-truediv],[XPASS(strict)] SNOW-1646604,failed -2957,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[amax-columns-True],AttributeError: can't set attribute,failed -2958,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_none_df[row_key0-col_key0-item0],"AssertionError: DataFrame.iloc[:, 0] (column name=""0"") are different +Series values are different (5.55556 %) +[index]: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17] +[left]: [True, True, True, True, True, True, True, True, True, True, True, True, False, True, True, True, True, True] +[right]: [True, True, True, True, True, True, True, True, True, True, True, True, , True, True, True, True, True]",failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[eq-rhs1-lhs2],TypeError: boolean value of NA is ambiguous,failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[eq-rhs1-lhs3],TypeError: boolean value of NA is ambiguous,failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[eq-rhs2-lhs0],TypeError: boolean value of NA is ambiguous,failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[eq-rhs2-lhs1],TypeError: boolean value of NA is ambiguous,failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[eq-rhs2-lhs2],TypeError: boolean value of NA is ambiguous,failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[eq-rhs2-lhs3],TypeError: boolean value of NA is ambiguous,failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[eq-rhs3-lhs0],TypeError: boolean value of NA is ambiguous,failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[eq-rhs3-lhs1],TypeError: boolean value of NA is ambiguous,failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[eq-rhs3-lhs2],TypeError: boolean value of NA is ambiguous,failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[eq-rhs3-lhs3],TypeError: boolean value of NA is ambiguous,failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[ge-rhs0-lhs0],"AssertionError: Series are different -DataFrame.iloc[:, 0] (column name=""0"") values are different (100.0 %) -[index]: [0, 1] -[left]: [11, 33] -[right]: [33, 11]",failed -2959,tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive0-eq],[XPASS(strict)] SNOW-1646604,failed -2961,tests.integ.modin.test_concat,test_concat_series_names_axis0[foo-None-None],AttributeError: 'DataFrame' object has no attribute 'dtype'. Did you mean: 'dtypes'?,failed -2962,tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive0-ne],[XPASS(strict)] SNOW-1646604,failed -2964,tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_ops_between_series_with_booleans_negative[rtruediv-rhs1-lhs0],ZeroDivisionError: float division by zero,failed -2965,tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive1-sub],[XPASS(strict)] SNOW-1646604,failed -2968,tests.integ.modin.test_concat,test_concat_series_names_axis0[None-bar-None],AttributeError: 'DataFrame' object has no attribute 'dtype'. Did you mean: 'dtypes'?,failed -2969,tests.integ.modin.frame.test_insert,test_insert_with_unique_and_duplicate_index_values[index_values10-other_index_values10-True],ValueError: cannot reindex on an axis with duplicate labels,failed -2970,tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive1-add],[XPASS(strict)] SNOW-1646604,failed -2972,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[amax-columns-False],AttributeError: can't set attribute,failed -2973,tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive1-div],[XPASS(strict)] SNOW-1646604,failed -2974,tests.integ.modin.test_concat,test_concat_series_names_axis0[foo-bar-None],AttributeError: 'DataFrame' object has no attribute 'dtype'. Did you mean: 'dtypes'?,failed -2977,tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive1-truediv],[XPASS(strict)] SNOW-1646604,failed -2979,tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive1-eq],[XPASS(strict)] SNOW-1646604,failed -2983,tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive1-ne],[XPASS(strict)] SNOW-1646604,failed -2984,tests.integ.modin.test_concat,test_concat_native_object_negative[obj0],"AssertionError: Regex pattern did not match. - Regex: "" is not supported as 'value' argument. Please convert this to Snowpark pandas objects by calling modin.pandas.Series\\(\\)/DataFrame\\(\\)"" - Input: 'first argument must be an iterable of pandas objects, you passed an object of type ""DataFrame""'",failed -2985,tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive2-sub],[XPASS(strict)] SNOW-1646604,failed -2986,tests.integ.modin.test_concat,test_concat_native_object_negative[obj1],"AssertionError: Regex pattern did not match. - Regex: "" is not supported as 'value' argument. Please convert this to Snowpark pandas objects by calling modin.pandas.Series\\(\\)/DataFrame\\(\\)"" - Input: 'first argument must be an iterable of pandas objects, you passed an object of type ""Series""'",failed -2987,tests.integ.modin.test_concat,test_concat_invalid_type_negative,AssertionError: exception type does not match with expected type ,failed -2989,tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive2-add],[XPASS(strict)] SNOW-1646604,failed -2995,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_none_df[row_key1-col_key1-item1],ValueError: Length of values (1) does not match length of index (2),failed -2997,tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive2-div],[XPASS(strict)] SNOW-1646604,failed -3001,tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_ops_between_series_with_booleans_negative[rtruediv-rhs2-lhs0],ZeroDivisionError: float division by zero,failed -3002,tests.integ.modin.binary.test_binary_op,test_binary_logic_operations_between_series_and_list_like[index-__or__],"ValueError: Unable to coerce to Series, length must be 1: given 6",failed -3003,tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive2-truediv],[XPASS(strict)] SNOW-1646604,failed -3004,tests.integ.modin.test_concat,test_concat_multiindex_columns_axis1[columns19-columns29-expected_cols9],"AssertionError: Index are different +Series values are different (5.55556 %) +[index]: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17] +[left]: [True, True, True, True, True, True, False, True, True, True, True, True, True, True, True, True, True, True] +[right]: [True, True, True, True, True, True, , True, True, True, True, True, True, True, True, True, True, True]",failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[ge-rhs0-lhs1],"AssertionError: Series are different -Index classes are different -[left]: MultiIndex([(1, 2), - (1, 2)], - ) -[right]: Index([(1, 2), (1, 2, 3)], dtype='object')",failed -3007,tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive2-eq],[XPASS(strict)] SNOW-1646604,failed -3008,tests.integ.modin.test_concat,test_concat_multiindex_columns_axis1[columns112-columns212-expected_cols12],"AssertionError: Index are different +Series values are different (11.11111 %) +[index]: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17] +[left]: [True, False, False, True, True, True, False, True, False, True, False, False, False, True, True, True, True, False] +[right]: [True, False, False, True, True, True, , True, False, True, False, False, , True, True, True, True, False]",failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[ge-rhs0-lhs2],TypeError: '>=' not supported between instances of 'NoneType' and 'float',failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[ge-rhs0-lhs3],TypeError: '>=' not supported between instances of 'NoneType' and 'float',failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[ge-rhs1-lhs0],"AssertionError: Series are different -Index classes are different -[left]: MultiIndex([(1, 2), - (1, 2)], - ) -[right]: Index([(1, 2), (1, 2, 3)], dtype='object')",failed -3011,tests.integ.modin.test_concat,test_concat_multiindex_row_labels_axis0[index11-index21-expected_index1-2],"assert [1, (1, 2)] == [1, [1, 2]] - At index 1 diff: (1, 2) != [1, 2] - Full diff: - - [1, [1, 2]] - ? ^ - - + [1, (1, 2)] - ? ^ +",failed -3013,tests.integ.modin.test_concat,test_concat_multiindex_row_labels_axis0[index12-index22-expected_index2-2],"assert [1, (1,)] == [1, 1] - At index 1 diff: (1,) != 1 - Full diff: - - [1, 1] - + [1, (1,)] - ? + ++",failed -3014,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[sum0-0-True],AttributeError: can't set attribute,failed -3015,tests.integ.modin.test_concat,test_concat_multiindex_row_labels_axis0[index13-index23-expected_index3-3],"assert [1, (1, 2)] == [1, [1, 2]] - At index 1 diff: (1, 2) != [1, 2] - Full diff: - - [1, [1, 2]] - ? ^ - - + [1, (1, 2)] - ? ^ +",failed -3016,tests.integ.modin.test_concat,test_concat_multiindex_row_labels_axis0[index14-index24-expected_index4-2],"assert [(1, 2), (1,)] == [[1, 2], 1] - At index 0 diff: (1, 2) != [1, 2] - Full diff: - - [[1, 2], 1] - + [(1, 2), (1,)]",failed -3018,tests.integ.modin.test_concat,test_concat_multiindex_row_labels_axis0[index15-index25-expected_index5-3],"assert [(1, 2), (1, 2)] == [[1, 2], [1, 2]] - At index 0 diff: (1, 2) != [1, 2] - Full diff: - - [[1, 2], [1, 2]] - ? ^ ^ ^ - - + [(1, 2), (1, 2)] - ? ^ ^ ^ +",failed -3019,tests.integ.modin.test_concat,test_concat_multiindex_row_labels_axis0[index16-index26-expected_index6-4],"assert [(1, 2), (1, 2, 3)] == [[1, 2], [1, 2, 3]] - At index 0 diff: (1, 2) != [1, 2] - Full diff: - - [[1, 2], [1, 2, 3]] - ? ^ ^ ^ - - + [(1, 2), (1, 2, 3)] - ? ^ ^ ^ +",failed -3021,tests.integ.modin.binary.test_binary_op,test_binary_logic_operations_between_series_and_list_like[index-__ror__],"ValueError: Unable to coerce to Series, length must be 1: given 6",failed -3022,tests.integ.modin.test_concat,test_concat_multiindex_row_labels_axis0[index17-index27-expected_index7-3],"assert [(1, 2), 1] == [[1, 2], 1] - At index 0 diff: (1, 2) != [1, 2] - Full diff: - - [[1, 2], 1] - ? ^ ^ - + [(1, 2), 1] - ? ^ ^",failed -3023,tests.integ.modin.test_concat,test_concat_multiindex_row_labels_axis0[index18-index28-expected_index8-3],"AssertionError: assert True == False - + where True = isinstance(MultiIndex([(1, 2),\n (1, 2)],\n ), MultiIndex) - + and False = isinstance(Index([(1, 2), (1, 2)], dtype='object'), MultiIndex)",failed -3026,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_none_df[row_key3-col_key3-item3],"AssertionError: DataFrame.iloc[:, 1] (column name=""1"") are different +Series values are different (11.11111 %) +[index]: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17] +[left]: [False, True, True, False, False, False, False, False, True, False, True, True, False, False, False, False, False, True] +[right]: [False, True, True, False, False, False, , False, True, False, True, True, , False, False, False, False, True]",failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[ge-rhs1-lhs1],"AssertionError: Series are different -DataFrame.iloc[:, 1] (column name=""1"") values are different (50.0 %) -[index]: [0, 1] -[left]: [, ] -[right]: [None, 99] -At positional index 1, first diff: != 99",failed -3027,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[sum0-0-False],AttributeError: can't set attribute,failed -3028,tests.integ.modin.test_concat,test_concat_multiindex_row_labels_axis0[index19-index29-expected_index9-3],"AssertionError: assert True == False - + where True = isinstance(MultiIndex([(1, 2),\n (1, 2)],\n ), MultiIndex) - + and False = isinstance(Index([(1, 2), (1, 2, 3)], dtype='object'), MultiIndex)",failed -3029,tests.integ.modin.test_concat,test_concat_multiindex_row_labels_axis0[index110-index210-expected_index10-3],"assert [(1, 2), (1,)] == [[1, 2], 1] - At index 0 diff: (1, 2) != [1, 2] - Full diff: - - [[1, 2], 1] - + [(1, 2), (1,)]",failed -3032,tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive2-ne],[XPASS(strict)] SNOW-1646604,failed -3033,tests.integ.modin.test_concat,test_concat_multiindex_row_labels_axis0[index112-index212-expected_index12-5],"AssertionError: assert True == False - + where True = isinstance(MultiIndex([(1, 2),\n (1, 2)],\n ), MultiIndex) - + and False = isinstance(Index([(1, 2), (1, 2, 3)], dtype='object'), MultiIndex)",failed -3036,tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive3-sub],[XPASS(strict)] SNOW-1646604,failed -3037,tests.integ.modin.test_concat,test_concat_multiindex_row_labels_axis1[index11-index21-expected_index1-3],"assert [1, (1,)] == [1] - Left contains one more item: (1,) - Full diff: - - [1] - + [1, (1,)]",failed -3039,tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive3-add],[XPASS(strict)] SNOW-1646604,failed -3040,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[sum0-1-True],AttributeError: can't set attribute,failed -3043,tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive3-div],[XPASS(strict)] SNOW-1646604,failed -3044,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_types_df[row_key0-col_key0-item0],"AssertionError: DataFrame.iloc[:, 0] (column name=""A"") are different +Series values are different (5.55556 %) +[index]: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17] +[left]: [True, True, True, True, True, True, True, True, True, True, True, True, False, True, True, True, True, True] +[right]: [True, True, True, True, True, True, True, True, True, True, True, True, , True, True, True, True, True]",failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[ge-rhs1-lhs2],TypeError: '>=' not supported between instances of 'NoneType' and 'float',failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[ge-rhs1-lhs3],TypeError: '>=' not supported between instances of 'NoneType' and 'float',failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[ge-rhs2-lhs0],TypeError: '>=' not supported between instances of 'float' and 'NoneType',failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[ge-rhs2-lhs1],TypeError: '>=' not supported between instances of 'float' and 'NoneType',failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[ge-rhs2-lhs2],TypeError: '>=' not supported between instances of 'NoneType' and 'NoneType',failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[ge-rhs2-lhs3],TypeError: '>=' not supported between instances of 'float' and 'NoneType',failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[ge-rhs3-lhs0],TypeError: '>=' not supported between instances of 'float' and 'NoneType',failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[ge-rhs3-lhs1],TypeError: '>=' not supported between instances of 'float' and 'NoneType',failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[ge-rhs3-lhs2],TypeError: '>=' not supported between instances of 'NoneType' and 'float',failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[ge-rhs3-lhs3],TypeError: '>=' not supported between instances of 'NoneType' and 'NoneType',failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[gt-rhs0-lhs0],"AssertionError: Series are different -DataFrame.iloc[:, 0] (column name=""A"") values are different (25.0 %) -[index]: [0, 1, 2, 3] -[left]: [nan, 2.0, 3.0, 4.0] -[right]: [99, 2, 3, 4]",failed -3046,tests.integ.modin.frame.test_insert,test_insert_with_unique_and_duplicate_index_values[index_values11-other_index_values11-True],ValueError: cannot reindex on an axis with duplicate labels,failed -3047,tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive3-truediv],[XPASS(strict)] SNOW-1646604,failed -3049,tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_ops_between_series_with_booleans_negative[floordiv-rhs0-lhs0],ZeroDivisionError: integer division or modulo by zero,failed -3050,tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive3-eq],[XPASS(strict)] SNOW-1646604,failed -3053,tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive3-ne],[XPASS(strict)] SNOW-1646604,failed -3054,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[sum0-1-False],AttributeError: can't set attribute,failed -3057,tests.integ.modin.test_concat,test_concat_multiindex_row_labels_axis1[index12-index22-expected_index2-4],"assert [(1, 2)] == [[1, 2]] - At index 0 diff: (1, 2) != [1, 2] - Full diff: - - [[1, 2]] - ? ^ - - + [(1, 2)] - ? ^ +",failed -3058,tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive4-sub],[XPASS(strict)] SNOW-1646604,failed -3060,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_types_df[row_key1-col_key1-item1],"AssertionError: DataFrame.iloc[:, 1] (column name=""B"") are different +Series values are different (5.55556 %) +[index]: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17] +[left]: [False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False] +[right]: [False, False, False, False, False, False, , False, False, False, False, False, False, False, False, False, False, False]",failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[gt-rhs0-lhs1],"AssertionError: Series are different -DataFrame.iloc[:, 1] (column name=""B"") values are different (25.0 %) -[index]: [0, 1, 2, 3] -[left]: [True, , True, False] -[right]: [True, True, True, False]",failed -3061,tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive4-add],[XPASS(strict)] SNOW-1646604,failed -3063,tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive4-div],[XPASS(strict)] SNOW-1646604,failed -3064,tests.integ.modin.binary.test_binary_op,test_binary_logic_operations_between_series_and_list_like[index-__and__],"ValueError: Unable to coerce to Series, length must be 1: given 6",failed -3066,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[sum0-index-True],AttributeError: can't set attribute,failed -3067,tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive4-truediv],[XPASS(strict)] SNOW-1646604,failed -3070,tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive4-eq],[XPASS(strict)] SNOW-1646604,failed -3072,tests.integ.modin.test_concat,test_concat_multiindex_row_labels_axis1[index13-index23-expected_index3-5],AssertionError: Length of new_levels (3) must be <= self.nlevels (2),failed -3073,tests.integ.modin.test_concat,test_concat_multiindex_row_labels_axis1[index14-index24-expected_index4-4],"AssertionError: assert True == False - + where True = isinstance(MultiIndex([(1, 2)],\n ), MultiIndex) - + and False = isinstance(Index([(1, 2)], dtype='object'), MultiIndex)",failed -3074,tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive4-ne],[XPASS(strict)] SNOW-1646604,failed -3075,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_types_df[row_key2-col_key2-item2],"AssertionError: DataFrame.iloc[:, 2] (column name=""C"") are different +Series values are different (11.11111 %) +[index]: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17] +[left]: [True, False, False, True, True, True, False, True, False, True, False, False, False, True, True, True, True, False] +[right]: [True, False, False, True, True, True, , True, False, True, False, False, , True, True, True, True, False]",failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[gt-rhs0-lhs2],TypeError: '>' not supported between instances of 'NoneType' and 'float',failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[gt-rhs0-lhs3],TypeError: '>' not supported between instances of 'NoneType' and 'float',failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[gt-rhs1-lhs0],"AssertionError: Series are different -DataFrame.iloc[:, 2] (column name=""C"") values are different (25.0 %) -[index]: [0, 1, 2, 3] -[left]: [1.5, 3.14159, nan, 123.45] -[right]: [1.5, 3.14159, 101.101, 123.45] -At positional index 2, first diff: nan != 101.101",failed -3077,tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_ops_between_series_with_booleans_negative[floordiv-rhs1-lhs0],TypeError: '<' not supported between instances of 'NoneType' and 'int',failed -3078,tests.integ.modin.test_concat,test_concat_multiindex_row_labels_axis1[index15-index25-expected_index5-4],"AssertionError: assert True == False - + where True = isinstance(MultiIndex([(1, 2)],\n ), MultiIndex) - + and False = isinstance(Index([(1, 2), (1, 2, 3)], dtype='object'), MultiIndex)",failed -3080,tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive5-sub],[XPASS(strict)] SNOW-1646604,failed -3081,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[sum0-index-False],AttributeError: can't set attribute,failed -3083,tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive5-add],[XPASS(strict)] SNOW-1646604,failed -3087,tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive5-div],[XPASS(strict)] SNOW-1646604,failed -3088,tests.integ.modin.binary.test_binary_op,test_binary_logic_operations_between_series_and_list_like[index-__rand__],"ValueError: Unable to coerce to Series, length must be 1: given 6",failed -3090,tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive5-truediv],[XPASS(strict)] SNOW-1646604,failed -3091,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_types_df[row_key3-col_key3-item3],TypeError: boolean value of NA is ambiguous,failed -3092,tests.integ.modin.test_concat,test_concat_multiindex_row_labels_axis1[index17-index27-expected_index7-6],AssertionError: Length of new_levels (3) must be <= self.nlevels (2),failed -3093,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[sum0-columns-True],AttributeError: can't set attribute,failed -3095,tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive5-eq],[XPASS(strict)] SNOW-1646604,failed -3096,tests.integ.modin.test_concat,test_concat_multiindex_row_labels_axis1_negative[index10-index20],Failed: DID NOT RAISE ,failed -3097,tests.integ.modin.test_concat,test_concat_multiindex_row_labels_axis1_negative[index11-index21],Failed: DID NOT RAISE ,failed -3099,tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive5-ne],[XPASS(strict)] SNOW-1646604,failed -3102,tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive6-sub],[XPASS(strict)] SNOW-1646604,failed -3105,tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive6-add],[XPASS(strict)] SNOW-1646604,failed -3106,tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_ops_between_series_with_booleans_negative[floordiv-rhs2-lhs0],AttributeError: 'bool' object has no attribute 'any',failed -3108,tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive6-div],[XPASS(strict)] SNOW-1646604,failed -3109,tests.integ.modin.binary.test_binary_op,test_binary_logic_operations_between_series_and_list_like[index_with_name-__or__],"ValueError: Unable to coerce to Series, length must be 1: given 6",failed -3112,tests.integ.modin.test_concat,test_concat_multiindex_row_labels_axis1_negative[index12-index22],IndexError: tuple index out of range,failed -3115,tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive6-truediv],[XPASS(strict)] SNOW-1646604,failed -3119,tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive6-eq],[XPASS(strict)] SNOW-1646604,failed -3122,tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive6-ne],[XPASS(strict)] SNOW-1646604,failed -3125,tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive7-sub],[XPASS(strict)] SNOW-1646604,failed -3128,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[sum0-columns-False],AttributeError: can't set attribute,failed -3131,tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive7-add],[XPASS(strict)] SNOW-1646604,failed -3135,tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive7-div],[XPASS(strict)] SNOW-1646604,failed -3138,tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive7-truediv],[XPASS(strict)] SNOW-1646604,failed -3140,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[sum1-0-True],AttributeError: can't set attribute,failed -3145,tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive7-eq],[XPASS(strict)] SNOW-1646604,failed -3147,tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive7-ne],[XPASS(strict)] SNOW-1646604,failed -3149,tests.integ.modin.test_concat,test_concat_multiindex_row_labels_axis1_negative[index13-index23],"NotImplementedError: Can only union MultiIndex with MultiIndex or Index of tuples, try mi.to_flat_index().union(other) instead.",failed -3151,tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive8-sub],[XPASS(strict)] SNOW-1646604,failed -3154,tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive8-add],[XPASS(strict)] SNOW-1646604,failed -3159,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[sum1-0-False],AttributeError: can't set attribute,failed -3160,tests.integ.modin.binary.test_binary_op,test_binary_logic_operations_between_series_and_list_like[index_with_name-__ror__],"ValueError: Unable to coerce to Series, length must be 1: given 6",failed -3162,tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive8-div],[XPASS(strict)] SNOW-1646604,failed -3165,tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_ops_between_series_with_booleans_negative[rfloordiv-rhs0-lhs0],ZeroDivisionError: integer division or modulo by zero,failed -3166,tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive8-truediv],[XPASS(strict)] SNOW-1646604,failed -3169,tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive8-eq],[XPASS(strict)] SNOW-1646604,failed -3173,tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive8-ne],[XPASS(strict)] SNOW-1646604,failed -3174,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[sum1-1-True],AttributeError: can't set attribute,failed -3178,tests.integ.modin.test_concat,test_concat_multiindex_row_labels_axis1_negative[index14-index24],AssertionError: Length of new_levels (2) must be <= self.nlevels (1),failed -3179,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_types_df[row_key9-col_key9-item9],"AssertionError: DataFrame.iloc[:, 0] (column name=""A"") are different +Series values are different (11.11111 %) +[index]: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17] +[left]: [False, True, True, False, False, False, False, False, True, False, True, True, False, False, False, False, False, True] +[right]: [False, True, True, False, False, False, , False, True, False, True, True, , False, False, False, False, True]",failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[gt-rhs1-lhs1],"AssertionError: Series are different -DataFrame.iloc[:, 0] (column name=""A"") values are different (100.0 %) -[index]: [0, 1, 2, 3] -[left]: [nan, nan, nan, nan] -[right]: [99, 99, 99, 99]",failed -3193,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[sum1-1-False],AttributeError: can't set attribute,failed -3197,tests.integ.modin.binary.test_binary_op,test_binary_logic_operations_between_series_and_list_like[index_with_name-__and__],"ValueError: Unable to coerce to Series, length must be 1: given 6",failed -3198,tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_ops_between_series_with_booleans_negative[rfloordiv-rhs1-lhs0],ZeroDivisionError: float floor division by zero,failed -3204,tests.integ.modin.test_concat,test_concat_multiindex_columns_axis0[columns14-columns24-expected_cols4],IndexError: tuple index out of range,failed -3206,tests.integ.modin.frame.test_iat,test_iat_neg[0-IndexingError],Failed: DID NOT RAISE ,failed -3211,tests.integ.modin.frame.test_iat,test_iat_neg[key1-IndexingError],Failed: DID NOT RAISE ,failed -3212,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[sum1-index-True],AttributeError: can't set attribute,failed -3216,tests.integ.modin.frame.test_iat,test_iat_neg[key2-IndexingError],"TypeError: int() argument must be a string, a bytes-like object or a real number, not 'dict'",failed -3222,tests.integ.modin.test_concat,test_concat_multiindex_columns_axis0[columns16-columns26-expected_cols6],AssertionError: Length of new_levels (3) must be <= self.nlevels (2),failed -3223,tests.integ.modin.binary.test_binary_op,test_binary_logic_operations_between_series_and_list_like[index_with_name-__rand__],"ValueError: Unable to coerce to Series, length must be 1: given 6",failed -3224,tests.integ.modin.frame.test_iat,test_iat_neg[a-IndexingError],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -3225,tests.integ.modin.binary.test_binary_op,test_arithmetic_binary_ops_between_series_with_booleans_negative[rfloordiv-rhs2-lhs0],ZeroDivisionError: float floor division by zero,failed -3227,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_types_df[row_key10-col_key10-item10],"AssertionError: DataFrame.iloc[:, 1] (column name=""B"") are different +Series values are different (5.55556 %) +[index]: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17] +[left]: [False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False] +[right]: [False, False, False, False, False, False, False, False, False, False, False, False, , False, False, False, False, False]",failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[gt-rhs1-lhs2],TypeError: '>' not supported between instances of 'NoneType' and 'float',failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[gt-rhs1-lhs3],TypeError: '>' not supported between instances of 'NoneType' and 'float',failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[gt-rhs2-lhs0],TypeError: '>' not supported between instances of 'float' and 'NoneType',failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[gt-rhs2-lhs1],TypeError: '>' not supported between instances of 'float' and 'NoneType',failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[gt-rhs2-lhs2],TypeError: '>' not supported between instances of 'NoneType' and 'NoneType',failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[gt-rhs2-lhs3],TypeError: '>' not supported between instances of 'float' and 'NoneType',failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[gt-rhs3-lhs0],TypeError: '>' not supported between instances of 'float' and 'NoneType',failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[gt-rhs3-lhs1],TypeError: '>' not supported between instances of 'float' and 'NoneType',failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[gt-rhs3-lhs2],TypeError: '>' not supported between instances of 'NoneType' and 'float',failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[gt-rhs3-lhs3],TypeError: '>' not supported between instances of 'NoneType' and 'NoneType',failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[le-rhs0-lhs0],"AssertionError: Series are different -DataFrame.iloc[:, 1] (column name=""B"") values are different (50.0 %) -[index]: [0, 1, 2, 3] -[left]: [True, , , False] -[right]: [True, True, False, False]",failed -3229,tests.integ.modin.frame.test_iat,test_iat_neg[key4-IndexingError],Failed: DID NOT RAISE ,failed -3233,tests.integ.modin.frame.test_iat,test_iat_neg[key5-IndexingError],Failed: DID NOT RAISE ,failed -3237,tests.integ.modin.test_concat,test_concat_multiindex_columns_axis0[columns17-columns27-expected_cols7],"NotImplementedError: Can only union MultiIndex with MultiIndex or Index of tuples, try mi.to_flat_index().union(other) instead.",failed -3239,tests.integ.modin.binary.test_binary_op,test_binary_logic_operations_between_df_and_list_like[list-__or__],"ValueError: Unable to coerce to Series, length must be 2: given 3",failed -3241,tests.integ.modin.frame.test_iat,test_iat_neg[key6-IndexingError],"TypeError: int() argument must be a string, a bytes-like object or a real number, not 'dict'",failed -3245,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[sum1-index-False],AttributeError: can't set attribute,failed -3246,tests.integ.modin.frame.test_iat,test_iat_neg[key7-KeyError],Failed: DID NOT RAISE ,failed -3249,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_key_series_out_of_bounds_keys[row_key0-col_key0],IndexError: index -5 is out of bounds for axis 0 with size 4,failed -3252,tests.integ.modin.frame.test_iat,test_iat_neg[key8-KeyError],"TypeError: int() argument must be a string, a bytes-like object or a real number, not 'dict'",failed -3253,tests.integ.modin.binary.test_binary_op,test_binary_logic_operations_between_df_and_list_like[list-__ror__],"ValueError: Unable to coerce to Series, length must be 2: given 3",failed -3258,tests.integ.modin.frame.test_iat,test_iat_neg[key9-KeyError],Failed: DID NOT RAISE ,failed -3260,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[sum1-columns-True],AttributeError: can't set attribute,failed -3262,tests.integ.modin.test_concat,test_concat_multiindex_columns_axis0[columns19-columns29-expected_cols9],"AssertionError: Index are different +Series values are different (5.55556 %) +[index]: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17] +[left]: [True, True, True, True, True, True, False, True, True, True, True, True, True, True, True, True, True, True] +[right]: [True, True, True, True, True, True, , True, True, True, True, True, True, True, True, True, True, True]",failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[le-rhs0-lhs1],"AssertionError: Series are different -Index classes are different -[left]: MultiIndex([(1, 2)], - ) -[right]: Index([(1, 2), (1, 2, 3)], dtype='object')",failed -3264,tests.integ.modin.frame.test_iat,test_iat_neg[key10-IndexError],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -3267,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_key_series_out_of_bounds_keys[row_key1-col_key1],IndexError: index 8 is out of bounds for axis 0 with size 4,failed -3274,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[sum1-columns-False],AttributeError: can't set attribute,failed -3275,tests.integ.modin.binary.test_binary_op,test_other_with_native_pandas_object_raises[truediv],ZeroDivisionError: division by zero,failed -3278,tests.integ.modin.frame.test_iat,test_raise_set_cell_with_list_like_value_error,"ValueError: could not broadcast input array from shape (2,) into shape (1, 1)",failed -3284,tests.integ.modin.test_concat,test_concat_multiindex_columns_axis0[columns110-columns210-expected_cols10],AssertionError: Length of new_levels (2) must be <= self.nlevels (1),failed -3287,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[sum2-0-True],AttributeError: can't set attribute,failed -3288,tests.integ.modin.binary.test_binary_op,test_binary_logic_operations_between_df_and_list_like[list-__and__],"ValueError: Unable to coerce to Series, length must be 2: given 3",failed -3289,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_key_series_out_of_bounds_keys[row_key2-col_key2],IndexError: index 6 is out of bounds for axis 0 with size 4,failed -3299,tests.integ.modin.binary.test_binary_op,test_binary_logic_operations_between_df_and_list_like[list-__rand__],"ValueError: Unable to coerce to Series, length must be 2: given 3",failed -3300,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[sum2-0-False],AttributeError: can't set attribute,failed -3301,tests.integ.modin.binary.test_binary_op,test_other_with_native_pandas_object_raises[rtruediv],ZeroDivisionError: division by zero,failed -3302,tests.integ.modin.test_concat,test_concat_multiindex_columns_axis0[columns112-columns212-expected_cols12],AssertionError: Length of new_levels (3) must be <= self.nlevels (2),failed -3312,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_key_series_out_of_bounds_keys[row_key3-col_key3],IndexError: index -10 is out of bounds for axis 0 with size 4,failed -3315,tests.integ.modin.frame.test_interchange_protocol,test_allow_copy_false[TestingDf.MIXED_TYPE],"assert 13765117808 != 13765117808 - + where 13765117808 = .get_buffer_memory_pointer at 0x33c13d120>() - + and 13765117808 = .get_buffer_memory_pointer at 0x33c13d120>()",failed -3316,tests.integ.modin.binary.test_binary_op,test_binary_logic_operations_between_df_and_list_like[ndarray-__or__],"ValueError: Unable to coerce to Series, length must be 2: given 3",failed -3317,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[sum2-1-True],AttributeError: can't set attribute,failed -3322,tests.integ.modin.test_concat,test_concat_with_keys[0-keys3],"ValueError: Length mismatch: Expected axis has 9 elements, new values have 6 elements",failed -3325,tests.integ.modin.binary.test_binary_op,test_binary_logic_operations_between_df_and_list_like[ndarray-__ror__],"ValueError: Unable to coerce to Series, length must be 2: given 3",failed -3326,tests.integ.modin.binary.test_binary_op,test_other_with_native_pandas_object_raises[floordiv],ZeroDivisionError: integer division or modulo by zero,failed -3327,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[sum2-1-False],AttributeError: can't set attribute,failed -3328,tests.integ.modin.binary.test_timedelta,test_numeric_dataframe_with_timedelta_list_like[mul],TypeError: Cannot do operation with improper dtypes,failed -3335,tests.integ.modin.binary.test_timedelta,test_numeric_dataframe_with_timedelta_list_like[rmul],TypeError: Cannot do operation with improper dtypes,failed -3336,tests.integ.modin.binary.test_binary_op,test_binary_logic_operations_between_df_and_list_like[ndarray-__and__],"ValueError: Unable to coerce to Series, length must be 2: given 3",failed -3340,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_key_series_float_keys[row_pos0-col_pos0],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -3346,tests.integ.modin.binary.test_timedelta,test_numeric_dataframe_with_timedelta_list_like[rdiv],TypeError: Cannot do operation with improper dtypes,failed -3347,tests.integ.modin.test_concat,test_concat_with_keys[0-keys4],"ValueError: Length mismatch: Expected axis has 9 elements, new values have 6 elements",failed -3349,tests.integ.modin.binary.test_binary_op,test_binary_logic_operations_between_df_and_list_like[ndarray-__rand__],"ValueError: Unable to coerce to Series, length must be 2: given 3",failed -3353,tests.integ.modin.test_concat,test_concat_with_keys[0-keys5],"AssertionError: DataFrame.index are different +Series values are different (11.11111 %) +[index]: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17] +[left]: [False, True, True, False, False, False, False, False, True, False, True, True, False, False, False, False, False, True] +[right]: [False, True, True, False, False, False, , False, True, False, True, True, , False, False, False, False, True]",failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[le-rhs0-lhs2],TypeError: '<=' not supported between instances of 'NoneType' and 'float',failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[le-rhs0-lhs3],TypeError: '<=' not supported between instances of 'NoneType' and 'float',failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[le-rhs1-lhs0],"AssertionError: Series are different -DataFrame.index levels are different -[left]: 2, MultiIndex([(('x', 1), 3), - (('x', 1), 1), - (('x', 1), 2), - (('y', 2), 2), - (('y', 2), 0), - (('y', 2), 3), - (('y', 2), 4), - (('z', 3), 0), - (('z', 3), 1)], - ) -[right]: 3, MultiIndex([('x', 1, 3), - ('x', 1, 1), - ('x', 1, 2), - ('y', 2, 2), - ('y', 2, 0), - ('y', 2, 3), - ('y', 2, 4), - ('z', 3, 0), - ('z', 3, 1)], - )",failed -3355,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[sum2-index-True],AttributeError: can't set attribute,failed -3361,tests.integ.modin.binary.test_timedelta,test_numeric_dataframe_with_timedelta_list_like[rtruediv],TypeError: Cannot do operation with improper dtypes,failed -3362,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_key_series_float_keys[row_pos1-col_pos1],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -3364,tests.integ.modin.binary.test_binary_op,test_binary_logic_operations_between_df_and_list_like[index-__or__],"ValueError: Unable to coerce to Series, length must be 2: given 3",failed -3367,tests.integ.modin.binary.test_binary_op,test_other_with_native_pandas_object_raises[rfloordiv],ZeroDivisionError: integer division or modulo by zero,failed -3370,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[sum2-index-False],AttributeError: can't set attribute,failed -3373,tests.integ.modin.frame.test_idxmax_idxmin,test_idxmax_idxmin_df[True-0-idxmax-data9-index9],reason: Snowpark pandas returns a Series with None whereas pandas throws a ValueError,xfailed -3375,tests.integ.modin.binary.test_timedelta,test_numeric_dataframe_with_timedelta_list_like[rfloordiv],TypeError: Cannot do operation with improper dtypes,failed -3376,tests.integ.modin.test_concat,test_concat_with_keys[1-keys3],"ValueError: Length mismatch: Expected axis has 7 elements, new values have 4 elements",failed -3378,tests.integ.modin.binary.test_binary_op,test_binary_logic_operations_between_df_and_list_like[index-__ror__],"ValueError: Unable to coerce to Series, length must be 2: given 3",failed -3380,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_key_series_float_keys[row_pos2-col_pos2],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -3382,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[sum2-columns-True],AttributeError: can't set attribute,failed -3384,tests.integ.modin.binary.test_timedelta,test_numeric_dataframe_with_timedelta_list_like[rmod],TypeError: Cannot do operation with improper dtypes,failed -3387,tests.integ.modin.binary.test_binary_op,test_binary_logic_operations_between_df_and_list_like[index-__and__],"ValueError: Unable to coerce to Series, length must be 2: given 3",failed -3388,tests.integ.modin.test_concat,test_concat_with_keys[1-keys4],"ValueError: Length mismatch: Expected axis has 7 elements, new values have 4 elements",failed -3390,tests.integ.modin.binary.test_binary_op,test_other_with_native_pandas_object_raises[mod],ZeroDivisionError: integer division or modulo by zero,failed -3391,tests.integ.modin.test_concat,test_concat_with_keys[1-keys5],"AssertionError: DataFrame.columns are different +Series values are different (11.11111 %) +[index]: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17] +[left]: [True, False, False, True, True, True, False, True, False, True, False, False, False, True, True, True, True, False] +[right]: [True, False, False, True, True, True, , True, False, True, False, False, , True, True, True, True, False]",failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[le-rhs1-lhs1],"AssertionError: Series are different -DataFrame.columns levels are different -[left]: 2, MultiIndex([(('x', 1), 'C'), - (('x', 1), 'A'), - (('x', 1), 'D'), - (('y', 2), 'P'), - (('y', 2), 'A'), - (('y', 2), 'C'), - (('z', 3), 0)], - ) -[right]: 3, MultiIndex([('x', 1, 'C'), - ('x', 1, 'A'), - ('x', 1, 'D'), - ('y', 2, 'P'), - ('y', 2, 'A'), - ('y', 2, 'C'), - ('z', 3, 0)], - )",failed -3395,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_key_series_float_keys[row_pos3-col_pos3],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -3397,tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[sum2-columns-False],AttributeError: can't set attribute,failed -3401,tests.integ.modin.binary.test_timedelta,test_numeric_dataframe_with_timedelta_list_like[eq],TypeError: Cannot do operation with improper dtypes,failed -3405,tests.integ.modin.crosstab.test_crosstab,test_margins_and_values[median0-True],AttributeError: can't set attribute,failed -3407,tests.integ.modin.test_concat,test_concat_same_frame_with_keys[0-keys3],"ValueError: Length mismatch: Expected axis has 6 elements, new values have 3 elements",failed -3409,tests.integ.modin.binary.test_binary_op,test_other_with_native_pandas_object_raises[rmod],ZeroDivisionError: integer division or modulo by zero,failed -3411,tests.integ.modin.frame.test_idxmax_idxmin,test_idxmax_idxmin_df[True-0-idxmax-data10-index10],AttributeError: 'NativeQueryCompiler' object has no attribute 'set_columns',failed -3413,tests.integ.modin.binary.test_binary_op,test_binary_logic_operations_between_df_and_list_like[index-__rand__],"ValueError: Unable to coerce to Series, length must be 2: given 3",failed -3416,tests.integ.modin.binary.test_binary_op,test_other_with_native_pandas_object_raises[pow],Failed: DID NOT RAISE ,failed -3417,tests.integ.modin.crosstab.test_crosstab,test_margins_and_values[median0-False],AttributeError: can't set attribute,failed -3420,tests.integ.modin.binary.test_binary_op,test_other_with_native_pandas_object_raises[rpow],Failed: DID NOT RAISE ,failed -3426,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_key_series_float_keys[row_pos4-col_pos4],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -3427,tests.integ.modin.binary.test_binary_op,test_other_with_native_pandas_object_raises[__or__],Failed: DID NOT RAISE ,failed -3429,tests.integ.modin.test_concat,test_concat_same_frame_with_keys[0-keys4],"AssertionError: DataFrame.index are different +Series values are different (5.55556 %) +[index]: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17] +[left]: [True, True, True, True, True, True, True, True, True, True, True, True, False, True, True, True, True, True] +[right]: [True, True, True, True, True, True, True, True, True, True, True, True, , True, True, True, True, True]",failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[le-rhs1-lhs2],TypeError: '<=' not supported between instances of 'NoneType' and 'float',failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[le-rhs1-lhs3],TypeError: '<=' not supported between instances of 'NoneType' and 'float',failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[le-rhs2-lhs0],TypeError: '<=' not supported between instances of 'float' and 'NoneType',failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[le-rhs2-lhs1],TypeError: '<=' not supported between instances of 'float' and 'NoneType',failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[le-rhs2-lhs2],TypeError: '<=' not supported between instances of 'NoneType' and 'NoneType',failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[le-rhs2-lhs3],TypeError: '<=' not supported between instances of 'float' and 'NoneType',failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[le-rhs3-lhs0],TypeError: '<=' not supported between instances of 'float' and 'NoneType',failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[le-rhs3-lhs1],TypeError: '<=' not supported between instances of 'float' and 'NoneType',failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[le-rhs3-lhs2],TypeError: '<=' not supported between instances of 'NoneType' and 'float',failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[le-rhs3-lhs3],TypeError: '<=' not supported between instances of 'NoneType' and 'NoneType',failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[lt-rhs0-lhs0],"AssertionError: Series are different -DataFrame.index levels are different -[left]: 2, MultiIndex([(('x', 1), 3), - (('x', 1), 1), - (('x', 1), 2), - (('y', 2), 3), - (('y', 2), 1), - (('y', 2), 2)], - names=[None, 'left_i']) -[right]: 3, MultiIndex([('x', 1, 3), - ('x', 1, 1), - ('x', 1, 2), - ('y', 2, 3), - ('y', 2, 1), - ('y', 2, 2)], - names=[None, None, 'left_i'])",failed -3430,tests.integ.modin.binary.test_timedelta,test_numeric_dataframe_with_timedelta_list_like[ne],TypeError: Cannot do operation with improper dtypes,failed -3431,tests.integ.modin.binary.test_binary_op,test_binary_logic_operations_between_df_and_list_like[index_with_name-__or__],"ValueError: Unable to coerce to Series, length must be 2: given 3",failed -3433,tests.integ.modin.crosstab.test_crosstab,test_margins_and_values[median1-True],AttributeError: can't set attribute,failed -3437,tests.integ.modin.binary.test_binary_op,test_other_with_native_pandas_object_raises[__ror__],Failed: DID NOT RAISE ,failed -3441,tests.integ.modin.binary.test_binary_op,test_other_with_native_pandas_object_raises[__and__],Failed: DID NOT RAISE ,failed -3445,tests.integ.modin.binary.test_binary_op,test_binary_logic_operations_between_df_and_list_like[index_with_name-__ror__],"ValueError: Unable to coerce to Series, length must be 2: given 3",failed -3447,tests.integ.modin.frame.test_idxmax_idxmin,test_idxmax_idxmin_df[True-0-idxmin-data9-index9],reason: Snowpark pandas returns a Series with None whereas pandas throws a ValueError,xfailed -3448,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_key_series_float_keys[row_pos5-col_pos5],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -3449,tests.integ.modin.binary.test_binary_op,test_other_with_native_pandas_object_raises[__rand__],Failed: DID NOT RAISE ,failed -3451,tests.integ.modin.test_concat,test_concat_same_frame_with_keys[1-keys3],"ValueError: Length mismatch: Expected axis has 6 elements, new values have 3 elements",failed -3453,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_key_constant_float_keys_negative[1.2-na-0-na],AssertionError: exception type does not match with expected type ,failed -3454,tests.integ.modin.binary.test_binary_op,test_other_with_native_pandas_object_raises[add],Failed: DID NOT RAISE ,failed -3456,tests.integ.modin.test_concat,test_concat_same_frame_with_keys[1-keys4],"AssertionError: DataFrame.columns are different +Series values are different (5.55556 %) +[index]: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17] +[left]: [False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False] +[right]: [False, False, False, False, False, False, , False, False, False, False, False, False, False, False, False, False, False]",failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[lt-rhs0-lhs1],"AssertionError: Series are different -DataFrame.columns levels are different -[left]: 2, MultiIndex([(('x', 1), 'C'), - (('x', 1), 'A'), - (('x', 1), 'D'), - (('y', 2), 'C'), - (('y', 2), 'A'), - (('y', 2), 'D')], - ) -[right]: 3, MultiIndex([('x', 1, 'C'), - ('x', 1, 'A'), - ('x', 1, 'D'), - ('y', 2, 'C'), - ('y', 2, 'A'), - ('y', 2, 'D')], - )",failed -3460,tests.integ.modin.binary.test_binary_op,test_binary_logic_operations_between_df_and_list_like[index_with_name-__and__],"ValueError: Unable to coerce to Series, length must be 2: given 3",failed -3461,tests.integ.modin.binary.test_binary_op,test_other_with_native_pandas_object_raises[radd],Failed: DID NOT RAISE ,failed -3462,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_key_constant_float_keys_negative[0-na-2.5-na],AssertionError: exception type does not match with expected type ,failed -3464,tests.integ.modin.test_concat,test_concat_multiindex_columns_with_keys_axis1[keys1-2],"AssertionError: DataFrame.columns are different +Series values are different (11.11111 %) +[index]: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17] +[left]: [False, True, True, False, False, False, False, False, True, False, True, True, False, False, False, False, False, True] +[right]: [False, True, True, False, False, False, , False, True, False, True, True, , False, False, False, False, True]",failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[lt-rhs0-lhs2],TypeError: '<' not supported between instances of 'NoneType' and 'float',failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[lt-rhs0-lhs3],TypeError: '<' not supported between instances of 'NoneType' and 'float',failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[lt-rhs1-lhs0],"AssertionError: Series are different -DataFrame.columns levels are different -[left]: 3, MultiIndex([(('x', 1), 'C', 'C'), - (('x', 1), 'A', 'A'), - (('x', 1), 'D', 'D'), - (('y', 2), 'P', 'P'), - (('y', 2), 'A', 'A'), - (('y', 2), 'C', 'C')], - ) -[right]: 4, MultiIndex([('x', 1, 'C', 'C'), - ('x', 1, 'A', 'A'), - ('x', 1, 'D', 'D'), - ('y', 2, 'P', 'P'), - ('y', 2, 'A', 'A'), - ('y', 2, 'C', 'C')], - )",failed -3466,tests.integ.modin.test_concat,test_concat_multiindex_columns_with_keys_axis1[keys1-3],"AssertionError: DataFrame.columns are different +Series values are different (11.11111 %) +[index]: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17] +[left]: [True, False, False, True, True, True, False, True, False, True, False, False, False, True, True, True, True, False] +[right]: [True, False, False, True, True, True, , True, False, True, False, False, , True, True, True, True, False]",failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[lt-rhs1-lhs1],"AssertionError: Series are different -DataFrame.columns levels are different -[left]: 4, MultiIndex([(('x', 1), 'C', 'C', 'C'), - (('x', 1), 'A', 'A', 'A'), - (('x', 1), 'D', 'D', 'D'), - (('y', 2), 'P', 'P', 'P'), - (('y', 2), 'A', 'A', 'A'), - (('y', 2), 'C', 'C', 'C')], - ) -[right]: 5, MultiIndex([('x', 1, 'C', 'C', 'C'), - ('x', 1, 'A', 'A', 'A'), - ('x', 1, 'D', 'D', 'D'), - ('y', 2, 'P', 'P', 'P'), - ('y', 2, 'A', 'A', 'A'), - ('y', 2, 'C', 'C', 'C')], - )",failed -3467,tests.integ.modin.binary.test_binary_op,test_other_with_native_pandas_object_raises[sub],Failed: DID NOT RAISE ,failed -3469,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_key_constant_float_keys_negative[nan-na-2-na],AssertionError: exception type does not match with expected type ,failed -3473,tests.integ.modin.crosstab.test_crosstab,test_margins_and_values[median1-False],AttributeError: can't set attribute,failed -3474,tests.integ.modin.test_concat,test_concat_keys_with_none[0],"AssertionError: DataFrame are different +Series values are different (5.55556 %) +[index]: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17] +[left]: [False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False] +[right]: [False, False, False, False, False, False, False, False, False, False, False, False, , False, False, False, False, False]",failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[lt-rhs1-lhs2],TypeError: '<' not supported between instances of 'NoneType' and 'float',failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[lt-rhs1-lhs3],TypeError: '<' not supported between instances of 'NoneType' and 'float',failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[lt-rhs2-lhs0],TypeError: '<' not supported between instances of 'float' and 'NoneType',failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[lt-rhs2-lhs1],TypeError: '<' not supported between instances of 'float' and 'NoneType',failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[lt-rhs2-lhs2],TypeError: '<' not supported between instances of 'NoneType' and 'NoneType',failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[lt-rhs2-lhs3],TypeError: '<' not supported between instances of 'float' and 'NoneType',failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[lt-rhs3-lhs0],TypeError: '<' not supported between instances of 'float' and 'NoneType',failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[lt-rhs3-lhs1],TypeError: '<' not supported between instances of 'float' and 'NoneType',failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[lt-rhs3-lhs2],TypeError: '<' not supported between instances of 'NoneType' and 'float',failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[lt-rhs3-lhs3],TypeError: '<' not supported between instances of 'NoneType' and 'NoneType',failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[ne-rhs0-lhs0],"AssertionError: Series are different + +Series values are different (5.55556 %) +[index]: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17] +[left]: [False, False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False] +[right]: [False, False, False, False, False, False, , False, False, False, False, False, False, False, False, False, False, False]",failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[ne-rhs0-lhs1],"AssertionError: Series are different + +Series values are different (11.11111 %) +[index]: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17] +[left]: [True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True] +[right]: [True, True, True, True, True, True, , True, True, True, True, True, , True, True, True, True, True]",failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[ne-rhs0-lhs2],TypeError: boolean value of NA is ambiguous,failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[ne-rhs0-lhs3],TypeError: boolean value of NA is ambiguous,failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[ne-rhs1-lhs0],"AssertionError: Series are different + +Series values are different (11.11111 %) +[index]: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17] +[left]: [True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True] +[right]: [True, True, True, True, True, True, , True, True, True, True, True, , True, True, True, True, True]",failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[ne-rhs1-lhs1],"AssertionError: Series are different + +Series values are different (5.55556 %) +[index]: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17] +[left]: [False, False, False, False, False, False, False, False, False, False, False, False, True, False, False, False, False, False] +[right]: [False, False, False, False, False, False, False, False, False, False, False, False, , False, False, False, False, False]",failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[ne-rhs1-lhs2],TypeError: boolean value of NA is ambiguous,failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[ne-rhs1-lhs3],TypeError: boolean value of NA is ambiguous,failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[ne-rhs2-lhs0],TypeError: boolean value of NA is ambiguous,failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[ne-rhs2-lhs1],TypeError: boolean value of NA is ambiguous,failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[ne-rhs2-lhs2],TypeError: boolean value of NA is ambiguous,failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[ne-rhs2-lhs3],TypeError: boolean value of NA is ambiguous,failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[ne-rhs3-lhs0],TypeError: boolean value of NA is ambiguous,failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[ne-rhs3-lhs1],TypeError: boolean value of NA is ambiguous,failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[ne-rhs3-lhs2],TypeError: boolean value of NA is ambiguous,failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[ne-rhs3-lhs3],TypeError: boolean value of NA is ambiguous,failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_variant[eq-rhs0-lhs0],assert np.True_ is None,failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_variant[ge-rhs0-lhs0],TypeError: '>=' not supported between instances of 'NoneType' and 'NoneType',failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_variant[gt-rhs0-lhs0],TypeError: '>' not supported between instances of 'NoneType' and 'NoneType',failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_variant[le-rhs0-lhs0],TypeError: '<=' not supported between instances of 'NoneType' and 'NoneType',failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_variant[lt-rhs0-lhs0],TypeError: '<' not supported between instances of 'NoneType' and 'NoneType',failed +tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_variant[ne-rhs0-lhs0],assert np.False_ is None,failed +tests.integ.modin.binary.test_binary_op,test_binary_fails_raises_not_implemented_error_for_series_mod[ser0],"TypeError: ufunc 'isnan' not supported for the input types, and the inputs could not be safely coerced to any supported types according to the casting rule ''safe''",failed +tests.integ.modin.binary.test_binary_op,test_binary_fails_raises_not_implemented_error_for_series_mod[ser1],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_binary_for_str_series_mod[ser0],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_binary_for_str_series_mod[ser1],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_binary_for_str_series_mod[ser2],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_binary_for_str_series_mod[ser3],TypeError: not all arguments converted during string formatting,failed +tests.integ.modin.binary.test_binary_op,test_binary_for_str_series_mod[ser4],ValueError: cannot convert float NaN to integer,failed +tests.integ.modin.binary.test_binary_op,test_binary_for_str_series_mod[ser5],ValueError: incomplete format,failed +tests.integ.modin.binary.test_binary_op,test_binary_logic_operations_between_df_and_list_like[index-__and__],"ValueError: Unable to coerce to Series, length must be 2: given 3",failed +tests.integ.modin.binary.test_binary_op,test_binary_logic_operations_between_df_and_list_like[index-__or__],"ValueError: Unable to coerce to Series, length must be 2: given 3",failed +tests.integ.modin.binary.test_binary_op,test_binary_logic_operations_between_df_and_list_like[index-__rand__],"ValueError: Unable to coerce to Series, length must be 2: given 3",failed +tests.integ.modin.binary.test_binary_op,test_binary_logic_operations_between_df_and_list_like[index-__ror__],"ValueError: Unable to coerce to Series, length must be 2: given 3",failed +tests.integ.modin.binary.test_binary_op,test_binary_logic_operations_between_df_and_list_like[index_with_name-__and__],"ValueError: Unable to coerce to Series, length must be 2: given 3",failed +tests.integ.modin.binary.test_binary_op,test_binary_logic_operations_between_df_and_list_like[index_with_name-__or__],"ValueError: Unable to coerce to Series, length must be 2: given 3",failed +tests.integ.modin.binary.test_binary_op,test_binary_logic_operations_between_df_and_list_like[index_with_name-__rand__],"ValueError: Unable to coerce to Series, length must be 2: given 3",failed +tests.integ.modin.binary.test_binary_op,test_binary_logic_operations_between_df_and_list_like[index_with_name-__ror__],"ValueError: Unable to coerce to Series, length must be 2: given 3",failed +tests.integ.modin.binary.test_binary_op,test_binary_logic_operations_between_df_and_list_like[list-__and__],"ValueError: Unable to coerce to Series, length must be 2: given 3",failed +tests.integ.modin.binary.test_binary_op,test_binary_logic_operations_between_df_and_list_like[list-__or__],"ValueError: Unable to coerce to Series, length must be 2: given 3",failed +tests.integ.modin.binary.test_binary_op,test_binary_logic_operations_between_df_and_list_like[list-__rand__],"ValueError: Unable to coerce to Series, length must be 2: given 3",failed +tests.integ.modin.binary.test_binary_op,test_binary_logic_operations_between_df_and_list_like[list-__ror__],"ValueError: Unable to coerce to Series, length must be 2: given 3",failed +tests.integ.modin.binary.test_binary_op,test_binary_logic_operations_between_df_and_list_like[ndarray-__and__],"ValueError: Unable to coerce to Series, length must be 2: given 3",failed +tests.integ.modin.binary.test_binary_op,test_binary_logic_operations_between_df_and_list_like[ndarray-__or__],"ValueError: Unable to coerce to Series, length must be 2: given 3",failed +tests.integ.modin.binary.test_binary_op,test_binary_logic_operations_between_df_and_list_like[ndarray-__rand__],"ValueError: Unable to coerce to Series, length must be 2: given 3",failed +tests.integ.modin.binary.test_binary_op,test_binary_logic_operations_between_df_and_list_like[ndarray-__ror__],"ValueError: Unable to coerce to Series, length must be 2: given 3",failed +tests.integ.modin.binary.test_binary_op,test_binary_logic_operations_between_series_and_list_like[index-__and__],"ValueError: Unable to coerce to Series, length must be 1: given 6",failed +tests.integ.modin.binary.test_binary_op,test_binary_logic_operations_between_series_and_list_like[index-__or__],"ValueError: Unable to coerce to Series, length must be 1: given 6",failed +tests.integ.modin.binary.test_binary_op,test_binary_logic_operations_between_series_and_list_like[index-__rand__],"ValueError: Unable to coerce to Series, length must be 1: given 6",failed +tests.integ.modin.binary.test_binary_op,test_binary_logic_operations_between_series_and_list_like[index-__ror__],"ValueError: Unable to coerce to Series, length must be 1: given 6",failed +tests.integ.modin.binary.test_binary_op,test_binary_logic_operations_between_series_and_list_like[index_with_name-__and__],"ValueError: Unable to coerce to Series, length must be 1: given 6",failed +tests.integ.modin.binary.test_binary_op,test_binary_logic_operations_between_series_and_list_like[index_with_name-__or__],"ValueError: Unable to coerce to Series, length must be 1: given 6",failed +tests.integ.modin.binary.test_binary_op,test_binary_logic_operations_between_series_and_list_like[index_with_name-__rand__],"ValueError: Unable to coerce to Series, length must be 1: given 6",failed +tests.integ.modin.binary.test_binary_op,test_binary_logic_operations_between_series_and_list_like[index_with_name-__ror__],"ValueError: Unable to coerce to Series, length must be 1: given 6",failed +tests.integ.modin.binary.test_binary_op,test_binary_method_datetime_with_dateoffset_replacement[dateoffset0],pandas._libs.tslibs.np_datetime.OutOfBoundsDatetime: Cannot cast 0001-01-02 03:04:05 to unit='ns' without overflow.,failed +tests.integ.modin.binary.test_binary_op,test_binary_method_datetime_with_dateoffset_replacement[dateoffset1],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_binary_method_datetime_with_dateoffset_replacement[dateoffset2],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_binary_method_datetime_with_dateoffset_replacement[dateoffset3],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_binary_method_datetime_with_dateoffset_replacement[dateoffset4],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_binary_method_datetime_with_dateoffset_replacement[dateoffset5],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_binary_method_datetime_with_dateoffset_replacement[dateoffset6],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_binary_method_datetime_with_dateoffset_replacement[dateoffset7],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_binary_method_datetime_with_dateoffset_replacement[dateoffset8],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_binary_method_datetime_with_dateoffset_replacement[dateoffset9],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_binary_method_numpy_and_pandas_type_scalar[data3-scalars3],"assert [False, False, False, False] == [None, None, None, None] + At index 0 diff: False != None + Full diff: + - [None, None, None, None] + + [False, False, False, False]",failed +tests.integ.modin.binary.test_binary_op,test_binary_mod_between_df_and_list_like_on_axis_0_deviating_behavior[index-mod],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_binary_mod_between_df_and_list_like_on_axis_0_deviating_behavior[index-rmod],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_binary_mod_between_df_and_list_like_on_axis_0_deviating_behavior[index_with_name-mod],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_binary_mod_between_df_and_list_like_on_axis_0_deviating_behavior[index_with_name-rmod],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_binary_mod_between_df_and_list_like_on_axis_0_deviating_behavior[list-mod],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_binary_mod_between_df_and_list_like_on_axis_0_deviating_behavior[list-rmod],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_binary_mod_between_df_and_list_like_on_axis_0_deviating_behavior[ndarray-mod],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_binary_mod_between_df_and_list_like_on_axis_0_deviating_behavior[ndarray-rmod],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_binary_mod_between_df_and_list_like_on_axis_1_deviating_behavior[index-mod],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_binary_mod_between_df_and_list_like_on_axis_1_deviating_behavior[index-rmod],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_binary_mod_between_df_and_list_like_on_axis_1_deviating_behavior[index_with_name-mod],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_binary_mod_between_df_and_list_like_on_axis_1_deviating_behavior[index_with_name-rmod],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_binary_mod_between_df_and_list_like_on_axis_1_deviating_behavior[list-mod],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_binary_mod_between_df_and_list_like_on_axis_1_deviating_behavior[list-rmod],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_binary_mod_between_df_and_list_like_on_axis_1_deviating_behavior[ndarray-mod],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_binary_mod_between_df_and_list_like_on_axis_1_deviating_behavior[ndarray-rmod],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_binary_mod_between_series_and_list_like_deviating_behavior[index-mod],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_binary_mod_between_series_and_list_like_deviating_behavior[index-rmod],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_binary_mod_between_series_and_list_like_deviating_behavior[index_with_name-mod],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_binary_mod_between_series_and_list_like_deviating_behavior[index_with_name-rmod],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_binary_mod_between_series_and_list_like_deviating_behavior[list-mod],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_binary_mod_between_series_and_list_like_deviating_behavior[list-rmod],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_binary_mod_between_series_and_list_like_deviating_behavior[ndarray-mod],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_binary_mod_between_series_and_list_like_deviating_behavior[ndarray-rmod],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_binary_mod_deviates_between_df[native_df0-res0],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_binary_mod_deviates_between_df[native_df1-res1],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_binary_mod_deviates_between_df[native_df2-res2],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_binary_mod_deviates_between_df[native_df3-res3],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_dataframe_and_series_axis0[df0-s0-add0],"AssertionError: DataFrame are different DataFrame shape mismatch -[left]: (7, 4) -[right]: (3, 3)",failed -3476,tests.integ.modin.binary.test_binary_op,test_binary_logic_operations_between_df_and_list_like[index_with_name-__rand__],"ValueError: Unable to coerce to Series, length must be 2: given 3",failed -3477,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_key_constant_float_keys_negative[0-na-nan-na],AssertionError: exception type does not match with expected type ,failed -3478,tests.integ.modin.frame.test_idxmax_idxmin,test_idxmax_idxmin_df[True-0-idxmin-data10-index10],AttributeError: 'NativeQueryCompiler' object has no attribute 'set_columns',failed -3480,tests.integ.modin.test_concat,test_concat_keys_with_none[1],"AssertionError: DataFrame are different +[left]: (5, 3) +[right]: (4, 5)",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_dataframe_and_series_axis0[df0-s0-add1],"AssertionError: DataFrame are different DataFrame shape mismatch -[left]: (5, 6) -[right]: (3, 3)",failed -3485,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_key_constant_float_keys_negative[row_pos4-na-col_pos4-na],AssertionError: exception type does not match with expected type ,failed -3489,tests.integ.modin.test_concat,test_concat_with_keys_and_names[0-one-two-names1],ValueError: Length of names must match number of levels in MultiIndex.,failed -3491,tests.integ.modin.crosstab.test_crosstab,test_margins_and_values[count-True],AttributeError: can't set attribute,failed -3494,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_key_constant_float_keys_negative[row_pos5-tuple-col_pos5-na],AssertionError: exception type does not match with expected type ,failed -3498,tests.integ.modin.test_concat,test_concat_with_keys_and_names[0-one-two-names2],ValueError: Length of names must match number of levels in MultiIndex.,failed -3502,tests.integ.modin.binary.test_binary_op,test_other_with_native_pandas_object_raises[rsub],Failed: DID NOT RAISE ,failed -3509,tests.integ.modin.crosstab.test_crosstab,test_margins_and_values[count-False],AttributeError: can't set attribute,failed -3510,tests.integ.modin.test_concat,test_concat_with_keys_and_names[0-one-None-names1],ValueError: Length of names must match number of levels in MultiIndex.,failed -3512,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_key_constant_float_keys_negative[row_pos6-series-col_pos6-na],AssertionError: exception type does not match with expected type ,failed -3513,tests.integ.modin.binary.test_binary_op,test_other_with_native_pandas_object_raises[mul],Failed: DID NOT RAISE ,failed -3519,tests.integ.modin.test_concat,test_concat_with_keys_and_names[0-one-None-names2],ValueError: Length of names must match number of levels in MultiIndex.,failed -3522,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_key_constant_float_keys_negative[row_pos7-na-col_pos7-na],AssertionError: exception type does not match with expected type ,failed -3523,tests.integ.modin.binary.test_binary_op,test_other_with_native_pandas_object_raises[rmul],Failed: DID NOT RAISE ,failed -3529,tests.integ.modin.crosstab.test_crosstab,test_margins_and_values[mean0-True],AttributeError: can't set attribute,failed -3532,tests.integ.modin.binary.test_binary_op,test_other_with_native_pandas_object_raises[eq],Failed: DID NOT RAISE ,failed -3534,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_key_constant_float_keys_negative[row_pos8-na-col_pos8-tuple],AssertionError: exception type does not match with expected type ,failed -3539,tests.integ.modin.binary.test_binary_op,test_other_with_native_pandas_object_raises[ne],Failed: DID NOT RAISE ,failed -3542,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_key_constant_float_keys_negative[row_pos9-na-col_pos9-series],AssertionError: exception type does not match with expected type ,failed -3545,tests.integ.modin.crosstab.test_crosstab,test_margins_and_values[mean0-False],AttributeError: can't set attribute,failed -3550,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_key_constant_float_keys_negative[row_pos10-na-col_pos10-na],AssertionError: exception type does not match with expected type ,failed -3554,tests.integ.modin.test_concat,test_concat_with_keys_and_names[0-None-two-names1],ValueError: Length of names must match number of levels in MultiIndex.,failed -3557,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_key_constant_float_keys_negative[row_pos11-na-col_pos11-na],AssertionError: exception type does not match with expected type ,failed -3558,tests.integ.modin.binary.test_binary_op,test_other_with_native_pandas_object_raises[gt],"AssertionError: Regex pattern did not match. - Regex: 'Please convert this to Snowpark pandas objects' - Input: ""'>' not supported between instances of 'NoneType' and 'NoneType'""",failed -3560,tests.integ.modin.crosstab.test_crosstab,test_margins_and_values[mean1-True],AttributeError: can't set attribute,failed -3563,tests.integ.modin.test_concat,test_concat_with_keys_and_names[0-None-two-names2],ValueError: Length of names must match number of levels in MultiIndex.,failed -3565,tests.integ.modin.frame.test_idxmax_idxmin,test_idxmax_idxmin_df[True-1-idxmax-data10-index10],AttributeError: 'NativeQueryCompiler' object has no attribute 'set_columns',failed -3568,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_key_constant_float_keys_negative[row_pos12-na-col_pos12-na],AssertionError: exception type does not match with expected type ,failed -3575,tests.integ.modin.test_concat,test_concat_with_keys_and_names[0-None-None-names1],ValueError: Length of names must match number of levels in MultiIndex.,failed -3578,tests.integ.modin.crosstab.test_crosstab,test_margins_and_values[mean1-False],AttributeError: can't set attribute,failed -3582,tests.integ.modin.test_concat,test_concat_with_keys_and_names[0-None-None-names2],ValueError: Length of names must match number of levels in MultiIndex.,failed -3589,tests.integ.modin.binary.test_binary_op,test_other_with_native_pandas_object_raises[lt],"AssertionError: Regex pattern did not match. - Regex: 'Please convert this to Snowpark pandas objects' - Input: ""'<' not supported between instances of 'NoneType' and 'NoneType'""",failed -3594,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_mixed_types_fail[row_key0-col_key0-item0-expected_results0-False],"AssertionError: DataFrame.iloc[:, 0] (column name=""A"") are different +[left]: (5, 3) +[right]: (4, 5)",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_dataframe_and_series_axis0[df0-s0-floordiv0],"AssertionError: DataFrame are different -DataFrame.iloc[:, 0] (column name=""A"") values are different (100.0 %) -[index]: [0, 1, 2, 3] -[left]: [nan, 2.0, 3.0, 4.0] -[right]: [True, True, True, True]",failed -3595,tests.integ.modin.test_concat,test_concat_with_keys_and_names[1-one-two-names1],ValueError: Length of names must match number of levels in MultiIndex.,failed -3599,tests.integ.modin.crosstab.test_crosstab,test_margins_and_values[min0-True],AttributeError: can't set attribute,failed -3603,tests.integ.modin.test_concat,test_concat_with_keys_and_names[1-one-two-names2],ValueError: Length of names must match number of levels in MultiIndex.,failed -3613,tests.integ.modin.binary.test_binary_op,test_other_with_native_pandas_object_raises[ge],"AssertionError: Regex pattern did not match. - Regex: 'Please convert this to Snowpark pandas objects' - Input: ""'>=' not supported between instances of 'NoneType' and 'NoneType'""",failed -3615,tests.integ.modin.test_concat,test_concat_with_keys_and_names[1-one-None-names1],ValueError: Length of names must match number of levels in MultiIndex.,failed -3620,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_mixed_types_fail[row_key1-col_key1-item1-None-False],"AssertionError: DataFrame.iloc[:, 1] (column name=""B"") are different +DataFrame shape mismatch +[left]: (5, 3) +[right]: (4, 5)",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_dataframe_and_series_axis0[df0-s0-floordiv1],"AssertionError: DataFrame are different -DataFrame.iloc[:, 1] (column name=""B"") values are different (25.0 %) -[index]: [0, 1, 2, 3] -[left]: [True, , True, False] -[right]: [True, 0, True, False] -At positional index 1, first diff: != 0",failed -3621,tests.integ.modin.test_concat,test_concat_with_keys_and_names[1-one-None-names2],ValueError: Length of names must match number of levels in MultiIndex.,failed -3627,tests.integ.modin.binary.test_timedelta,test_numeric_series_and_timedelta_list_like[mul],TypeError: Cannot do operation with improper dtypes,failed -3629,tests.integ.modin.test_concat,test_concat_with_keys_and_names[1-None-two-names1],ValueError: Length of names must match number of levels in MultiIndex.,failed -3632,tests.integ.modin.test_concat,test_concat_with_keys_and_names[1-None-two-names2],ValueError: Length of names must match number of levels in MultiIndex.,failed -3635,tests.integ.modin.crosstab.test_crosstab,test_margins_and_values[min0-False],AttributeError: can't set attribute,failed -3638,tests.integ.modin.binary.test_timedelta,test_numeric_series_and_timedelta_list_like[rmul],TypeError: Cannot do operation with improper dtypes,failed -3641,tests.integ.modin.test_concat,test_concat_with_keys_and_names[1-None-None-names1],ValueError: Length of names must match number of levels in MultiIndex.,failed -3644,tests.integ.modin.frame.test_idxmax_idxmin,test_idxmax_idxmin_df[True-1-idxmin-data10-index10],AttributeError: 'NativeQueryCompiler' object has no attribute 'set_columns',failed -3646,tests.integ.modin.crosstab.test_crosstab,test_margins_and_values[min1-True],AttributeError: can't set attribute,failed -3651,tests.integ.modin.binary.test_timedelta,test_numeric_series_and_timedelta_list_like[rdiv],TypeError: Cannot do operation with improper dtypes,failed -3652,tests.integ.modin.binary.test_binary_op,test_other_with_native_pandas_object_raises[le],"AssertionError: Regex pattern did not match. - Regex: 'Please convert this to Snowpark pandas objects' - Input: ""'<=' not supported between instances of 'NoneType' and 'NoneType'""",failed -3657,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_mixed_types_fail[row_key2-col_key2-item2-expected_results2-False],"AssertionError: DataFrame.iloc[:, 1] (column name=""B"") are different +DataFrame shape mismatch +[left]: (5, 3) +[right]: (4, 5)",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_dataframe_and_series_axis0[df0-s0-mod],"AssertionError: DataFrame are different -DataFrame.iloc[:, 1] (column name=""B"") values are different (25.0 %) -[index]: [0, 1, 2, 3] -[left]: [True, , True, False] -[right]: [True, True, True, False]",failed -3659,tests.integ.modin.crosstab.test_crosstab,test_margins_and_values[min1-False],AttributeError: can't set attribute,failed -3665,tests.integ.modin.test_concat,test_concat_with_keys_and_names[1-None-None-names2],ValueError: Length of names must match number of levels in MultiIndex.,failed -3671,tests.integ.modin.binary.test_timedelta,test_numeric_series_and_timedelta_list_like[rtruediv],TypeError: Cannot do operation with improper dtypes,failed -3676,tests.integ.modin.test_concat,test_concat_empty_keys_negative[0],AssertionError: exception type does not match with expected type ,failed -3678,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_mixed_types_fail[row_key3-col_key3-item3-None-True],Failed: DID NOT RAISE ,failed -3680,tests.integ.modin.crosstab.test_crosstab,test_margins_and_values[amin-True],AttributeError: can't set attribute,failed -3682,tests.integ.modin.test_concat,test_concat_empty_keys_negative[1],AssertionError: exception type does not match with expected type ,failed -3693,tests.integ.modin.frame.test_idxmax_idxmin,test_idxmax_idxmin_df[False-0-idxmax-data9-index9],reason: Snowpark pandas returns a Series with None whereas pandas throws a ValueError,xfailed -3696,tests.integ.modin.binary.test_timedelta,test_numeric_series_and_timedelta_list_like[rfloordiv],TypeError: Cannot do operation with improper dtypes,failed -3700,tests.integ.modin.crosstab.test_crosstab,test_margins_and_values[amin-False],AttributeError: can't set attribute,failed -3703,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_mixed_types_fail[row_key4-col_key4-item4-None-True],Failed: DID NOT RAISE ,failed -3713,tests.integ.modin.binary.test_timedelta,test_numeric_series_and_timedelta_list_like[rmod],TypeError: Cannot do operation with improper dtypes,failed -3714,tests.integ.modin.crosstab.test_crosstab,test_margins_and_values[max0-True],AttributeError: can't set attribute,failed -3729,tests.integ.modin.crosstab.test_crosstab,test_margins_and_values[max0-False],AttributeError: can't set attribute,failed -3735,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_mixed_types_fail[row_key5-col_key5-item5-expected_results5-False],ValueError: Length of values (3) does not match length of index (4),failed -3748,tests.integ.modin.frame.test_idxmax_idxmin,test_idxmax_idxmin_df[False-0-idxmax-data10-index10],AttributeError: 'NativeQueryCompiler' object has no attribute 'set_columns',failed -3751,tests.integ.modin.test_concat,test_concat_dict_with_invalid_keys_negative[0],Failed: DID NOT RAISE ,failed -3755,tests.integ.modin.test_concat,test_concat_dict_with_invalid_keys_negative[1],Failed: DID NOT RAISE ,failed -3756,tests.integ.modin.binary.test_timedelta,test_numeric_series_and_timedelta_list_like[eq],TypeError: Cannot do operation with improper dtypes,failed -3777,tests.integ.modin.crosstab.test_crosstab,test_margins_and_values[max1-True],AttributeError: can't set attribute,failed -3783,tests.integ.modin.binary.test_timedelta,test_numeric_series_and_timedelta_list_like[ne],TypeError: Cannot do operation with improper dtypes,failed -3788,tests.integ.modin.test_concat,test_concat_verify_integrity_axis1_negative[df],Failed: DID NOT RAISE ,failed -3792,tests.integ.modin.test_concat,test_concat_verify_integrity_axis1_negative[series],Failed: DID NOT RAISE ,failed -3793,tests.integ.modin.test_concat,test_concat_all_series_verify_integrity_axis1_negative,Failed: DID NOT RAISE ,failed -3805,tests.integ.modin.crosstab.test_crosstab,test_margins_and_values[max1-False],AttributeError: can't set attribute,failed -3813,tests.integ.modin.frame.test_idxmax_idxmin,test_idxmax_idxmin_df[False-0-idxmin-data9-index9],reason: Snowpark pandas returns a Series with None whereas pandas throws a ValueError,xfailed -3814,tests.integ.modin.test_concat,test_concat_verify_integrity_axis0_negative[index10-index20],Failed: DID NOT RAISE ,failed -3818,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_mixed_types_fail[row_key7-col_key7-item7-expected_results7-False],ValueError: Length of values (2) does not match length of index (4),failed -3820,tests.integ.modin.test_concat,test_concat_verify_integrity_axis0_negative[index11-index21],Failed: DID NOT RAISE ,failed -3823,tests.integ.modin.test_concat,test_concat_verify_integrity_axis0_negative[index12-index22],Failed: DID NOT RAISE ,failed -3825,tests.integ.modin.test_concat,test_concat_verify_integrity_axis0_large_overlap_negative,Failed: DID NOT RAISE ,failed -3827,tests.integ.modin.crosstab.test_crosstab,test_margins_and_values[amax-True],AttributeError: can't set attribute,failed -3831,tests.integ.modin.test_concat,test_concat_levels_negative,Failed: DID NOT RAISE ,failed -3841,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_mixed_types_fail[row_key8-col_key8-item8-expected_results8-False],"AssertionError: DataFrame.iloc[:, 3] (column name=""D"") are different +DataFrame shape mismatch +[left]: (5, 3) +[right]: (4, 5)",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_dataframe_and_series_axis0[df0-s0-mul],"AssertionError: DataFrame are different -DataFrame.iloc[:, 3] (column name=""D"") values are different (25.0 %) -[index]: [0, 1, 2, 3] -[left]: [a, b, False, d] -[right]: [a, b, false, d] -At positional index 2, first diff: False != false",failed -3843,tests.integ.modin.crosstab.test_crosstab,test_margins_and_values[amax-False],AttributeError: can't set attribute,failed -3846,tests.integ.modin.test_concat,test_concat_duplicate_columns[columns11-columns21-expected_rows1-expected_cols1],pandas.errors.InvalidIndexError: Reindexing only valid with uniquely valued Index objects,failed -3850,tests.integ.modin.frame.test_idxmax_idxmin,test_idxmax_idxmin_df[False-0-idxmin-data10-index10],AttributeError: 'NativeQueryCompiler' object has no attribute 'set_columns',failed -3856,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_mixed_types_fail[row_key9-col_key9-item9-None-True],Failed: DID NOT RAISE ,failed -3857,tests.integ.modin.crosstab.test_crosstab,test_margins_and_values[sum0-True],AttributeError: can't set attribute,failed -3859,tests.integ.modin.test_concat,test_concat_duplicate_columns[columns12-columns22-expected_rows2-expected_cols2],pandas.errors.InvalidIndexError: Reindexing only valid with uniquely valued Index objects,failed -3871,tests.integ.modin.crosstab.test_crosstab,test_margins_and_values[sum0-False],AttributeError: can't set attribute,failed -3877,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_mixed_types_fail[row_key10-col_key10-item10-expected_results10-False],"AssertionError: DataFrame.iloc[:, 1] (column name=""B"") are different +DataFrame shape mismatch +[left]: (5, 3) +[right]: (4, 5)",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_dataframe_and_series_axis0[df0-s0-pow],"AssertionError: DataFrame are different -DataFrame.iloc[:, 1] (column name=""B"") values are different (50.0 %) -[index]: [0, 1, 2, 3] -[left]: [True, , , False] -[right]: [True, True, False, False]",failed -3885,tests.integ.modin.crosstab.test_crosstab,test_margins_and_values[sum1-True],AttributeError: can't set attribute,failed -3894,tests.integ.modin.test_concat,test_concat_duplicate_columns[columns13-columns23-expected_rows3-expected_cols3],pandas.errors.InvalidIndexError: Reindexing only valid with uniquely valued Index objects,failed -3938,tests.integ.modin.frame.test_idxmax_idxmin,test_idxmax_idxmin_df[False-1-idxmax-data10-index10],AttributeError: 'NativeQueryCompiler' object has no attribute 'set_columns',failed -3950,tests.integ.modin.crosstab.test_crosstab,test_margins_and_values[sum1-False],AttributeError: can't set attribute,failed -3974,tests.integ.modin.crosstab.test_crosstab,test_margins_and_values[sum2-True],AttributeError: can't set attribute,failed -3979,tests.integ.modin.binary.test_binary_op,test_binary_mod_deviates_between_df[native_df0-res0],Failed: DID NOT RAISE ,failed -3987,tests.integ.modin.binary.test_binary_op,test_binary_mod_deviates_between_df[native_df1-res1],Failed: DID NOT RAISE ,failed -3990,tests.integ.modin.crosstab.test_crosstab,test_margins_and_values[sum2-False],AttributeError: can't set attribute,failed -3995,tests.integ.modin.binary.test_binary_op,test_binary_mod_deviates_between_df[native_df2-res2],Failed: DID NOT RAISE ,failed -3999,tests.integ.modin.binary.test_timedelta,test_numeric_dataframe_and_timedelta_list_like[mul],TypeError: Cannot do operation with improper dtypes,failed -4000,tests.integ.modin.binary.test_binary_op,test_binary_mod_deviates_between_df[native_df3-res3],Failed: DID NOT RAISE ,failed -4003,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[median0-0-True],AttributeError: can't set attribute,failed -4009,tests.integ.modin.binary.test_timedelta,test_numeric_dataframe_and_timedelta_list_like[rmul],TypeError: Cannot do operation with improper dtypes,failed -4010,tests.integ.modin.binary.test_binary_op,test_binary_that_deviates_for_series_mod[ser0-res0],Failed: DID NOT RAISE ,failed -4013,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[median0-0-False],AttributeError: can't set attribute,failed -4017,tests.integ.modin.binary.test_binary_op,test_binary_that_deviates_for_series_mod[ser1-res1],Failed: DID NOT RAISE ,failed -4019,tests.integ.modin.binary.test_timedelta,test_numeric_dataframe_and_timedelta_list_like[rdiv],TypeError: Cannot do operation with improper dtypes,failed -4021,tests.integ.modin.frame.test_idxmax_idxmin,test_idxmax_idxmin_df[False-1-idxmin-data10-index10],AttributeError: 'NativeQueryCompiler' object has no attribute 'set_columns',failed -4025,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[median0-1-True],AttributeError: can't set attribute,failed -4026,tests.integ.modin.binary.test_binary_op,test_binary_that_deviates_for_series_mod[ser2-res2],Failed: DID NOT RAISE ,failed -4033,tests.integ.modin.binary.test_timedelta,test_numeric_dataframe_and_timedelta_list_like[rtruediv],TypeError: Cannot do operation with improper dtypes,failed -4034,tests.integ.modin.binary.test_binary_op,test_binary_that_deviates_for_series_mod[ser3-res3],Failed: DID NOT RAISE ,failed -4037,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[median0-1-False],AttributeError: can't set attribute,failed -4041,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values1-None-None-3-2-None-1-None],"AssertionError: DataFrame.iloc[:, 2] (column name=""('a', 2)"") are different +DataFrame shape mismatch +[left]: (5, 3) +[right]: (4, 5)",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_dataframe_and_series_axis0[df0-s0-radd],"AssertionError: DataFrame are different -DataFrame.iloc[:, 2] (column name=""('a', 2)"") values are different (20.0 %) -[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] -[left]: [3.0, nan, 98.0, 57.0, -7.0] -[right]: [3, -999, 98, 57, -7]",failed -4044,tests.integ.modin.binary.test_binary_op,test_binary_that_deviates_for_series_mod[ser4-res4],Failed: DID NOT RAISE ,failed -4047,tests.integ.modin.binary.test_timedelta,test_numeric_dataframe_and_timedelta_list_like[rfloordiv],TypeError: Cannot do operation with improper dtypes,failed -4050,tests.integ.modin.binary.test_binary_op,test_binary_that_deviates_for_series_mod[ser5-res5],Failed: DID NOT RAISE ,failed -4055,tests.integ.modin.binary.test_binary_op,test_binary_that_deviates_for_series_mod[ser6-res6],Failed: DID NOT RAISE ,failed -4056,tests.integ.modin.binary.test_timedelta,test_numeric_dataframe_and_timedelta_list_like[rmod],TypeError: Cannot do operation with improper dtypes,failed -4058,tests.integ.modin.frame.test_idxmax_idxmin,test_idxmax_idxmin_df_numeric_only_axis_0_different_column_dtypes[False-idxmax-data1-index1],pandas throws TypeError when Snowpark pandas returns result,xfailed -4062,tests.integ.modin.binary.test_binary_op,test_binary_that_deviates_for_series_mod[ser7-res7],Failed: DID NOT RAISE ,failed -4067,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[median0-True-True],AttributeError: can't set attribute,failed -4069,tests.integ.modin.binary.test_binary_op,test_binary_that_deviates_for_series_mod[ser8-res8],Failed: DID NOT RAISE ,failed -4070,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values1-None-None-3-2-None-row_key1-None],"AssertionError: DataFrame.iloc[:, 2] (column name=""('a', 2)"") are different +DataFrame shape mismatch +[left]: (5, 3) +[right]: (4, 5)",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_dataframe_and_series_axis0[df0-s0-rfloordiv0],"AssertionError: DataFrame are different -DataFrame.iloc[:, 2] (column name=""('a', 2)"") values are different (40.0 %) -[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] -[left]: [nan, 12.0, 98.0, nan, -7.0] -[right]: [-998, 12, 98, -999, -7]",failed -4074,tests.integ.modin.binary.test_binary_op,test_binary_that_deviates_for_series_mod[ser9-res9],Failed: DID NOT RAISE ,failed -4075,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[median0-True-False],AttributeError: can't set attribute,failed -4078,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values1-None-None-3-2-None-row_key2-row_key_index2],"AssertionError: DataFrame.iloc[:, 2] (column name=""('a', 2)"") are different +DataFrame shape mismatch +[left]: (5, 3) +[right]: (4, 5)",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_dataframe_and_series_axis0[df0-s0-rfloordiv1],"AssertionError: DataFrame are different -DataFrame.iloc[:, 2] (column name=""('a', 2)"") values are different (40.0 %) -[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] -[left]: [3.0, nan, nan, 57.0, -7.0] -[right]: [3, -999, -998, 57, -7]",failed -4080,tests.integ.modin.binary.test_binary_op,test_binary_that_deviates_for_series_mod[ser10-res10],Failed: DID NOT RAISE ,failed -4082,tests.integ.modin.binary.test_timedelta,test_numeric_dataframe_and_timedelta_list_like[eq],TypeError: Cannot do operation with improper dtypes,failed -4083,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[median0-all-True],AttributeError: can't set attribute,failed -4086,tests.integ.modin.binary.test_binary_op,test_binary_that_deviates_for_series_mod[ser11-res11],Failed: DID NOT RAISE ,failed -4088,tests.integ.modin.frame.test_idxmax_idxmin,test_idxmax_idxmin_df_numeric_only_axis_0_different_column_dtypes[False-idxmin-data1-index1],pandas throws TypeError when Snowpark pandas returns result,xfailed -4089,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values1-None-None-3-2-None-row_key3-row_key_index3],"AssertionError: DataFrame.iloc[:, 2] (column name=""('a', 2)"") are different +DataFrame shape mismatch +[left]: (5, 3) +[right]: (4, 5)",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_dataframe_and_series_axis0[df0-s0-rmod],"AssertionError: DataFrame are different -DataFrame.iloc[:, 2] (column name=""('a', 2)"") values are different (40.0 %) -[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] -[left]: [3.0, nan, nan, 57.0, -7.0] -[right]: [3, -998, -999, 57, -7]",failed -4093,tests.integ.modin.binary.test_timedelta,test_numeric_dataframe_and_timedelta_list_like[ne],TypeError: Cannot do operation with improper dtypes,failed -4094,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[median0-all-False],AttributeError: can't set attribute,failed -4104,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[median0-index-True],AttributeError: can't set attribute,failed -4116,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values1-None-None-3-col_key1-None-1-None],ValueError: buffer source array is read-only,failed -4117,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[median0-index-False],AttributeError: can't set attribute,failed -4128,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values1-None-None-3-col_key1-None-row_key1-None],"AssertionError: DataFrame.iloc[:, 1] (column name=""('b', 2)"") are different +DataFrame shape mismatch +[left]: (5, 3) +[right]: (4, 5)",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_dataframe_and_series_axis0[df0-s0-rmul],"AssertionError: DataFrame are different -DataFrame.iloc[:, 1] (column name=""('b', 2)"") values are different (40.0 %) -[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] -[left]: [nan, 11.0, 101.0, nan, -6.0] -[right]: [-996, 11, 101, -997, -6]",failed -4139,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values1-None-None-3-col_key1-None-row_key2-row_key_index2],"AssertionError: DataFrame.iloc[:, 1] (column name=""('b', 2)"") are different +DataFrame shape mismatch +[left]: (5, 3) +[right]: (4, 5)",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_dataframe_and_series_axis0[df0-s0-rpow],"AssertionError: DataFrame are different -DataFrame.iloc[:, 1] (column name=""('b', 2)"") values are different (40.0 %) -[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] -[left]: [2.0, nan, nan, 56.0, -6.0] -[right]: [2, -997, -996, 56, -6]",failed -4140,tests.integ.modin.binary.test_timedelta,test_subtract_two_timestamps_timezones_disallowed[sub-pandas_lhs0-pandas_rhs0],"AssertionError: Regex pattern did not match. - Regex: 'Cannot\\ subtract\\ tz\\-naive\\ and\\ tz\\-aware\\ datetime\\-like\\ objects\\.' - Input: 'Cannot subtract tz-naive and tz-aware datetime-like objects'",failed -4142,tests.integ.modin.binary.test_binary_op,test_binary_fails_raises_not_implemented_error_for_series_mod[ser0],"TypeError: ufunc 'isnan' not supported for the input types, and the inputs could not be safely coerced to any supported types according to the casting rule ''safe''",failed -4149,tests.integ.modin.binary.test_binary_op,test_binary_fails_raises_not_implemented_error_for_series_mod[ser1],Failed: DID NOT RAISE ,failed -4151,tests.integ.modin.frame.test_idxmax_idxmin,test_idxmax_idxmin_with_timedelta[1-idxmax],[XPASS(strict)] SNOW-1653126,failed -4152,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[median0-columns-True],AttributeError: can't set attribute,failed -4154,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values1-None-None-3-col_key1-None-row_key3-row_key_index3],"AssertionError: DataFrame.iloc[:, 1] (column name=""('b', 2)"") are different +DataFrame shape mismatch +[left]: (5, 3) +[right]: (4, 5)",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_dataframe_and_series_axis0[df0-s0-rsub],"AssertionError: DataFrame are different -DataFrame.iloc[:, 1] (column name=""('b', 2)"") values are different (40.0 %) -[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] -[left]: [2.0, nan, nan, 56.0, -6.0] -[right]: [2, -996, -997, 56, -6]",failed -4155,tests.integ.modin.frame.test_idxmax_idxmin,test_idxmax_idxmin_with_timedelta[1-idxmin],[XPASS(strict)] SNOW-1653126,failed -4159,tests.integ.modin.binary.test_binary_op,test_binary_for_str_series_mod[ser0],Failed: DID NOT RAISE ,failed -4163,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[median0-columns-False],AttributeError: can't set attribute,failed -4165,tests.integ.modin.binary.test_timedelta,test_subtract_two_timestamps_timezones_disallowed[rsub-pandas_lhs1-pandas_rhs1],"AssertionError: Regex pattern did not match. - Regex: 'Cannot\\ subtract\\ tz\\-naive\\ and\\ tz\\-aware\\ datetime\\-like\\ objects\\.' - Input: 'Cannot subtract tz-naive and tz-aware datetime-like objects'",failed -4168,tests.integ.modin.binary.test_binary_op,test_binary_for_str_series_mod[ser1],Failed: DID NOT RAISE ,failed -4174,tests.integ.modin.binary.test_binary_op,test_binary_for_str_series_mod[ser2],Failed: DID NOT RAISE ,failed -4175,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[median1-0-True],AttributeError: can't set attribute,failed -4181,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values1-None-None-3-col_key2-col_key_index2-1-None],ValueError: buffer source array is read-only,failed -4185,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[median1-0-False],AttributeError: can't set attribute,failed -4190,tests.integ.modin.frame.test_idxmax_idxmin,test_idxmax_idxmin_empty_df_with_index[0-idxmax],AttributeError: 'NativeQueryCompiler' object has no attribute 'set_columns',failed -4194,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[median1-1-True],AttributeError: can't set attribute,failed -4198,tests.integ.modin.binary.test_binary_op,test_binary_for_str_series_mod[ser3],TypeError: not all arguments converted during string formatting,failed -4203,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[median1-1-False],AttributeError: can't set attribute,failed -4208,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values1-None-None-3-col_key2-col_key_index2-row_key1-None],"AssertionError: DataFrame.iloc[:, 1] (column name=""('b', 2)"") are different +DataFrame shape mismatch +[left]: (5, 3) +[right]: (4, 5)",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_dataframe_and_series_axis0[df0-s0-rtruediv],"AssertionError: DataFrame are different -DataFrame.iloc[:, 1] (column name=""('b', 2)"") values are different (40.0 %) -[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] -[left]: [nan, 11.0, 101.0, nan, -6.0] -[right]: [-998, 11, 101, -999, -6]",failed -4209,tests.integ.modin.frame.test_idxmax_idxmin,test_idxmax_idxmin_empty_df_with_index[0-idxmin],AttributeError: 'NativeQueryCompiler' object has no attribute 'set_columns',failed -4210,tests.integ.modin.frame.test_idxmax_idxmin,test_idxmax_idxmin_empty_df_with_index[1-idxmax],reason: Snowpark pandas returns empty dataframe instead of ValueError,xfailed -4212,tests.integ.modin.frame.test_idxmax_idxmin,test_idxmax_idxmin_empty_df_with_index[1-idxmin],reason: Snowpark pandas returns empty dataframe instead of ValueError,xfailed -4215,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[median1-True-True],AttributeError: can't set attribute,failed -4216,tests.integ.modin.frame.test_idxmax_idxmin,test_idxmax_idxmin_crazy_column_names_axis_1[1-idxmax],[XPASS(strict)] Snowpark lit() cannot parse pd.Timestamp,failed -4218,tests.integ.modin.frame.test_idxmax_idxmin,test_idxmax_idxmin_crazy_column_names_axis_1[1-idxmin],[XPASS(strict)] Snowpark lit() cannot parse pd.Timestamp,failed -4221,tests.integ.modin.frame.test_idxmax_idxmin,test_idxmax_idxmin_multiindex_unsupported[0-idxmax],[XPASS(strict)] ,failed -4224,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[median1-True-False],AttributeError: can't set attribute,failed -4225,tests.integ.modin.frame.test_idxmax_idxmin,test_idxmax_idxmin_multiindex_unsupported[0-idxmin],[XPASS(strict)] ,failed -4228,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values1-None-None-3-col_key2-col_key_index2-row_key2-row_key_index2],"AssertionError: DataFrame.iloc[:, 1] (column name=""('b', 2)"") are different +DataFrame shape mismatch +[left]: (5, 3) +[right]: (4, 5)",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_dataframe_and_series_axis0[df0-s0-sub0],"AssertionError: DataFrame are different -DataFrame.iloc[:, 1] (column name=""('b', 2)"") values are different (40.0 %) -[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] -[left]: [2.0, nan, nan, 56.0, -6.0] -[right]: [2, -999, -998, 56, -6]",failed -4229,tests.integ.modin.frame.test_idxmax_idxmin,test_idxmax_idxmin_multiindex_unsupported[1-idxmax],[XPASS(strict)] ,failed -4231,tests.integ.modin.frame.test_idxmax_idxmin,test_idxmax_idxmin_multiindex_unsupported[1-idxmin],[XPASS(strict)] ,failed -4239,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values1-None-None-3-col_key2-col_key_index2-row_key3-row_key_index3],"AssertionError: DataFrame.iloc[:, 1] (column name=""('b', 2)"") are different +DataFrame shape mismatch +[left]: (5, 3) +[right]: (4, 5)",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_dataframe_and_series_axis0[df0-s0-sub1],"AssertionError: DataFrame are different -DataFrame.iloc[:, 1] (column name=""('b', 2)"") values are different (40.0 %) -[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] -[left]: [2.0, nan, nan, 56.0, -6.0] -[right]: [2, -998, -999, 56, -6]",failed -4241,tests.integ.modin.binary.test_binary_op,test_binary_for_str_series_mod[ser4],ValueError: cannot convert float NaN to integer,failed -4248,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[median1-all-True],AttributeError: can't set attribute,failed -4256,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[median1-all-False],AttributeError: can't set attribute,failed -4260,tests.integ.modin.binary.test_binary_op,test_binary_for_str_series_mod[ser5],ValueError: incomplete format,failed -4263,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values1-None-None-3-col_key3-col_key_index3-1-None],ValueError: buffer source array is read-only,failed -4266,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[median1-index-True],AttributeError: can't set attribute,failed -4275,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values1-None-None-3-col_key3-col_key_index3-row_key1-None],"AssertionError: DataFrame.iloc[:, 1] (column name=""('b', 2)"") are different +DataFrame shape mismatch +[left]: (5, 3) +[right]: (4, 5)",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_dataframe_and_series_axis0[df0-s0-truediv],"AssertionError: DataFrame are different -DataFrame.iloc[:, 1] (column name=""('b', 2)"") values are different (40.0 %) -[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] -[left]: [nan, 11.0, 101.0, nan, -6.0] -[right]: [-996, 11, 101, -997, -6]",failed -4277,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[median1-index-False],AttributeError: can't set attribute,failed -4287,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[median1-columns-True],AttributeError: can't set attribute,failed -4292,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values1-None-None-3-col_key3-col_key_index3-row_key2-row_key_index2],"AssertionError: DataFrame.iloc[:, 1] (column name=""('b', 2)"") are different +DataFrame shape mismatch +[left]: (5, 3) +[right]: (4, 5)",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_dataframe_and_series_axis0[df1-s1-add0],"AssertionError: DataFrame are different -DataFrame.iloc[:, 1] (column name=""('b', 2)"") values are different (40.0 %) -[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] -[left]: [2.0, nan, nan, 56.0, -6.0] -[right]: [2, -997, -996, 56, -6]",failed -4301,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[median1-columns-False],AttributeError: can't set attribute,failed -4305,tests.integ.modin.frame.test_iloc,test_df_row_return_dataframe[key0-1-2],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -4312,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values1-None-None-3-col_key3-col_key_index3-row_key3-row_key_index3],"AssertionError: DataFrame.iloc[:, 1] (column name=""('b', 2)"") are different +DataFrame shape mismatch +[left]: (4, 3) +[right]: (4, 6)",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_dataframe_and_series_axis0[df1-s1-add1],"AssertionError: DataFrame are different -DataFrame.iloc[:, 1] (column name=""('b', 2)"") values are different (40.0 %) -[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] -[left]: [2.0, nan, nan, 56.0, -6.0] -[right]: [2, -996, -997, 56, -6]",failed -4324,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values2-item_index2-None-5-2-None-1-None],"AssertionError: DataFrame.iloc[:, 2] (column name=""('a', 2)"") are different +DataFrame shape mismatch +[left]: (4, 3) +[right]: (4, 6)",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_dataframe_and_series_axis0[df1-s1-floordiv0],"AssertionError: DataFrame are different -DataFrame.iloc[:, 2] (column name=""('a', 2)"") values are different (20.0 %) -[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] -[left]: [3.0, nan, 98.0, 57.0, -7.0] -[right]: [3, -999, 98, 57, -7]",failed -4331,tests.integ.modin.frame.test_iloc,test_df_row_return_dataframe[key5-1-2],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -4337,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values2-item_index2-None-5-2-None-row_key1-None],"AssertionError: DataFrame.iloc[:, 2] (column name=""('a', 2)"") are different +DataFrame shape mismatch +[left]: (4, 3) +[right]: (4, 6)",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_dataframe_and_series_axis0[df1-s1-floordiv1],"AssertionError: DataFrame are different -DataFrame.iloc[:, 2] (column name=""('a', 2)"") values are different (40.0 %) -[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] -[left]: [nan, 12.0, 98.0, nan, -7.0] -[right]: [-998, 12, 98, -999, -7]",failed -4348,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[count-0-True],AttributeError: can't set attribute,failed -4354,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values2-item_index2-None-5-2-None-row_key2-row_key_index2],"AssertionError: DataFrame.iloc[:, 2] (column name=""('a', 2)"") are different +DataFrame shape mismatch +[left]: (4, 3) +[right]: (4, 6)",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_dataframe_and_series_axis0[df1-s1-mod],"AssertionError: DataFrame are different -DataFrame.iloc[:, 2] (column name=""('a', 2)"") values are different (40.0 %) -[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] -[left]: [3.0, nan, nan, 57.0, -7.0] -[right]: [3, -999, -998, 57, -7]",failed -4357,tests.integ.modin.frame.test_iloc,test_df_row_return_dataframe[key10-1-2],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -4359,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[count-0-False],AttributeError: can't set attribute,failed -4363,tests.integ.modin.frame.test_iloc,test_df_row_return_dataframe[key11-1-2],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -4365,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values2-item_index2-None-5-2-None-row_key3-row_key_index3],"AssertionError: DataFrame.iloc[:, 2] (column name=""('a', 2)"") are different +DataFrame shape mismatch +[left]: (4, 3) +[right]: (4, 6)",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_dataframe_and_series_axis0[df1-s1-mul],"AssertionError: DataFrame are different -DataFrame.iloc[:, 2] (column name=""('a', 2)"") values are different (40.0 %) -[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] -[left]: [3.0, nan, nan, 57.0, -7.0] -[right]: [3, -998, -999, 57, -7]",failed -4368,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[count-1-True],AttributeError: can't set attribute,failed -4369,tests.integ.modin.binary.test_binary_op,test_binary_mod_between_series_and_list_like_deviating_behavior[list-mod],Failed: DID NOT RAISE ,failed -4371,tests.integ.modin.binary.test_binary_op,test_binary_mod_between_series_and_list_like_deviating_behavior[list-rmod],Failed: DID NOT RAISE ,failed -4374,tests.integ.modin.binary.test_binary_op,test_binary_mod_between_series_and_list_like_deviating_behavior[ndarray-mod],Failed: DID NOT RAISE ,failed -4375,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[count-1-False],AttributeError: can't set attribute,failed -4377,tests.integ.modin.binary.test_binary_op,test_binary_mod_between_series_and_list_like_deviating_behavior[ndarray-rmod],Failed: DID NOT RAISE ,failed -4378,tests.integ.modin.binary.test_binary_op,test_binary_mod_between_series_and_list_like_deviating_behavior[index-mod],Failed: DID NOT RAISE ,failed -4382,tests.integ.modin.frame.test_iloc,test_df_row_return_dataframe[key12-1-2],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -4383,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[count-True-True],AttributeError: can't set attribute,failed -4385,tests.integ.modin.binary.test_binary_op,test_binary_mod_between_series_and_list_like_deviating_behavior[index-rmod],Failed: DID NOT RAISE ,failed -4388,tests.integ.modin.binary.test_binary_op,test_binary_mod_between_series_and_list_like_deviating_behavior[index_with_name-mod],Failed: DID NOT RAISE ,failed -4389,tests.integ.modin.frame.test_iloc,test_df_row_return_dataframe[key13-1-2],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -4391,tests.integ.modin.frame.test_items,test_items[dataframe3],AssertionError: Got type: ,failed -4394,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[count-True-False],AttributeError: can't set attribute,failed -4395,tests.integ.modin.binary.test_binary_op,test_binary_mod_between_series_and_list_like_deviating_behavior[index_with_name-rmod],Failed: DID NOT RAISE ,failed -4398,tests.integ.modin.binary.test_binary_op,test_binary_mod_between_df_and_list_like_on_axis_0_deviating_behavior[list-mod],Failed: DID NOT RAISE ,failed -4399,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[count-all-True],AttributeError: can't set attribute,failed -4400,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values2-item_index2-None-5-col_key1-None-1-None],ValueError: buffer source array is read-only,failed -4406,tests.integ.modin.binary.test_binary_op,test_binary_mod_between_df_and_list_like_on_axis_0_deviating_behavior[list-rmod],Failed: DID NOT RAISE ,failed -4408,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values2-item_index2-None-5-col_key1-None-row_key1-None],"AssertionError: DataFrame.iloc[:, 1] (column name=""('b', 2)"") are different +DataFrame shape mismatch +[left]: (4, 3) +[right]: (4, 6)",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_dataframe_and_series_axis0[df1-s1-pow],"AssertionError: DataFrame are different -DataFrame.iloc[:, 1] (column name=""('b', 2)"") values are different (40.0 %) -[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] -[left]: [nan, 11.0, 101.0, nan, -6.0] -[right]: [-996, 11, 101, -997, -6]",failed -4409,tests.integ.modin.frame.test_iloc,test_df_row_return_dataframe[key18-1-0],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -4410,tests.integ.modin.binary.test_binary_op,test_binary_mod_between_df_and_list_like_on_axis_0_deviating_behavior[ndarray-mod],Failed: DID NOT RAISE ,failed -4414,tests.integ.modin.binary.test_binary_op,test_binary_mod_between_df_and_list_like_on_axis_0_deviating_behavior[ndarray-rmod],Failed: DID NOT RAISE ,failed -4418,tests.integ.modin.binary.test_binary_op,test_binary_mod_between_df_and_list_like_on_axis_0_deviating_behavior[index-mod],Failed: DID NOT RAISE ,failed -4419,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values2-item_index2-None-5-col_key1-None-row_key2-row_key_index2],"AssertionError: DataFrame.iloc[:, 1] (column name=""('b', 2)"") are different +DataFrame shape mismatch +[left]: (4, 3) +[right]: (4, 6)",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_dataframe_and_series_axis0[df1-s1-radd],"AssertionError: DataFrame are different -DataFrame.iloc[:, 1] (column name=""('b', 2)"") values are different (40.0 %) -[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] -[left]: [2.0, nan, nan, 56.0, -6.0] -[right]: [2, -997, -996, 56, -6]",failed -4423,tests.integ.modin.binary.test_binary_op,test_binary_mod_between_df_and_list_like_on_axis_0_deviating_behavior[index-rmod],Failed: DID NOT RAISE ,failed -4428,tests.integ.modin.binary.test_binary_op,test_binary_mod_between_df_and_list_like_on_axis_0_deviating_behavior[index_with_name-mod],Failed: DID NOT RAISE ,failed -4429,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values2-item_index2-None-5-col_key1-None-row_key3-row_key_index3],"AssertionError: DataFrame.iloc[:, 1] (column name=""('b', 2)"") are different +DataFrame shape mismatch +[left]: (4, 3) +[right]: (4, 6)",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_dataframe_and_series_axis0[df1-s1-rfloordiv0],"AssertionError: DataFrame are different -DataFrame.iloc[:, 1] (column name=""('b', 2)"") values are different (40.0 %) -[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] -[left]: [2.0, nan, nan, 56.0, -6.0] -[right]: [2, -996, -997, 56, -6]",failed -4431,tests.integ.modin.frame.test_iloc,test_df_iloc_get_dataframe[key4-1-2],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -4433,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[count-all-False],AttributeError: can't set attribute,failed -4441,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[count-index-True],AttributeError: can't set attribute,failed -4446,tests.integ.modin.frame.test_iloc,test_df_iloc_get_dataframe[key9-1-2],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -4447,tests.integ.modin.binary.test_binary_op,test_binary_mod_between_df_and_list_like_on_axis_0_deviating_behavior[index_with_name-rmod],Failed: DID NOT RAISE ,failed -4449,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values2-item_index2-None-5-col_key2-col_key_index2-1-None],ValueError: buffer source array is read-only,failed -4451,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[count-index-False],AttributeError: can't set attribute,failed -4453,tests.integ.modin.binary.test_binary_op,test_binary_mod_between_df_and_list_like_on_axis_1_deviating_behavior[list-mod],Failed: DID NOT RAISE ,failed -4455,tests.integ.modin.frame.test_iloc,test_df_iloc_get_dataframe[key10-1-2],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -4457,tests.integ.modin.binary.test_binary_op,test_binary_mod_between_df_and_list_like_on_axis_1_deviating_behavior[list-rmod],Failed: DID NOT RAISE ,failed -4459,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[count-columns-True],AttributeError: can't set attribute,failed -4461,tests.integ.modin.binary.test_binary_op,test_binary_mod_between_df_and_list_like_on_axis_1_deviating_behavior[ndarray-mod],Failed: DID NOT RAISE ,failed -4464,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values2-item_index2-None-5-col_key2-col_key_index2-row_key1-None],"AssertionError: DataFrame.iloc[:, 1] (column name=""('b', 2)"") are different +DataFrame shape mismatch +[left]: (4, 3) +[right]: (4, 6)",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_dataframe_and_series_axis0[df1-s1-rfloordiv1],"AssertionError: DataFrame are different -DataFrame.iloc[:, 1] (column name=""('b', 2)"") values are different (40.0 %) -[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] -[left]: [nan, 11.0, 101.0, nan, -6.0] -[right]: [-998, 11, 101, -999, -6]",failed -4466,tests.integ.modin.frame.test_iloc,test_df_iloc_get_dataframe[key11-1-2],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -4468,tests.integ.modin.binary.test_binary_op,test_binary_mod_between_df_and_list_like_on_axis_1_deviating_behavior[ndarray-rmod],Failed: DID NOT RAISE ,failed -4473,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[count-columns-False],AttributeError: can't set attribute,failed -4474,tests.integ.modin.binary.test_binary_op,test_binary_mod_between_df_and_list_like_on_axis_1_deviating_behavior[index-mod],Failed: DID NOT RAISE ,failed -4477,tests.integ.modin.frame.test_iloc,test_df_iloc_get_dataframe[key12-1-2],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -4481,tests.integ.modin.binary.test_binary_op,test_binary_mod_between_df_and_list_like_on_axis_1_deviating_behavior[index-rmod],Failed: DID NOT RAISE ,failed -4482,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values2-item_index2-None-5-col_key2-col_key_index2-row_key2-row_key_index2],"AssertionError: DataFrame.iloc[:, 1] (column name=""('b', 2)"") are different +DataFrame shape mismatch +[left]: (4, 3) +[right]: (4, 6)",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_dataframe_and_series_axis0[df1-s1-rmod],"AssertionError: DataFrame are different -DataFrame.iloc[:, 1] (column name=""('b', 2)"") values are different (40.0 %) -[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] -[left]: [2.0, nan, nan, 56.0, -6.0] -[right]: [2, -999, -998, 56, -6]",failed -4487,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[mean0-0-True],AttributeError: can't set attribute,failed -4488,tests.integ.modin.binary.test_binary_op,test_binary_mod_between_df_and_list_like_on_axis_1_deviating_behavior[index_with_name-mod],Failed: DID NOT RAISE ,failed -4490,tests.integ.modin.test_concat,test_concat_object_with_same_index_with_dup[inner],pandas.errors.InvalidIndexError: Reindexing only valid with uniquely valued Index objects,failed -4496,tests.integ.modin.binary.test_binary_op,test_binary_mod_between_df_and_list_like_on_axis_1_deviating_behavior[index_with_name-rmod],Failed: DID NOT RAISE ,failed -4501,tests.integ.modin.frame.test_iloc,test_df_iloc_get_dataframe[key17-1-0],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -4502,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[mean0-0-False],AttributeError: can't set attribute,failed -4503,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values2-item_index2-None-5-col_key2-col_key_index2-row_key3-row_key_index3],"AssertionError: DataFrame.iloc[:, 1] (column name=""('b', 2)"") are different +DataFrame shape mismatch +[left]: (4, 3) +[right]: (4, 6)",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_dataframe_and_series_axis0[df1-s1-rmul],"AssertionError: DataFrame are different -DataFrame.iloc[:, 1] (column name=""('b', 2)"") values are different (40.0 %) -[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] -[left]: [2.0, nan, nan, 56.0, -6.0] -[right]: [2, -998, -999, 56, -6]",failed -4504,tests.integ.modin.test_concat,test_concat_object_with_same_index_with_dup_sort[inner],pandas.errors.InvalidIndexError: Reindexing only valid with uniquely valued Index objects,failed -4516,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[mean0-1-True],AttributeError: can't set attribute,failed -4518,tests.integ.modin.test_concat,test_concat_object_with_same_index_with_dup_sort[outer],pandas.errors.InvalidIndexError: Reindexing only valid with uniquely valued Index objects,failed -4521,tests.integ.modin.frame.test_iloc,test_df_iloc_get_dataframe_with_range[key0],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed -4527,tests.integ.modin.binary.test_binary_op,test_binary_pow_deviating_behavior_series[ser1-res1],"AssertionError: Attributes of Series are different +DataFrame shape mismatch +[left]: (4, 3) +[right]: (4, 6)",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_dataframe_and_series_axis0[df1-s1-rpow],"AssertionError: DataFrame are different + +DataFrame shape mismatch +[left]: (4, 3) +[right]: (4, 6)",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_dataframe_and_series_axis0[df1-s1-rsub],"AssertionError: DataFrame are different + +DataFrame shape mismatch +[left]: (4, 3) +[right]: (4, 6)",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_dataframe_and_series_axis0[df1-s1-rtruediv],"AssertionError: DataFrame are different + +DataFrame shape mismatch +[left]: (4, 3) +[right]: (4, 6)",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_dataframe_and_series_axis0[df1-s1-sub0],"AssertionError: DataFrame are different + +DataFrame shape mismatch +[left]: (4, 3) +[right]: (4, 6)",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_dataframe_and_series_axis0[df1-s1-sub1],"AssertionError: DataFrame are different + +DataFrame shape mismatch +[left]: (4, 3) +[right]: (4, 6)",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_dataframe_and_series_axis0[df1-s1-truediv],"AssertionError: DataFrame are different + +DataFrame shape mismatch +[left]: (4, 3) +[right]: (4, 6)",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index0-add],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index0-floordiv],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index0-mod],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index0-mul],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index0-pow],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index0-radd],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index0-rfloordiv],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index0-rmod],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index0-rmul],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index0-rpow],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index0-rsub],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index0-rtruediv],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index0-sub],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index0-truediv],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index1-add],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index1-floordiv],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index1-mod],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index1-mul],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index1-pow],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index1-radd],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index1-rfloordiv],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index1-rmod],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index1-rmul],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index1-rpow],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index1-rsub],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index1-rtruediv],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index1-sub],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index1-truediv],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index_with_name0-add],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index_with_name0-floordiv],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index_with_name0-mod],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index_with_name0-mul],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index_with_name0-pow],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index_with_name0-radd],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index_with_name0-rfloordiv],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index_with_name0-rmod],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index_with_name0-rmul],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index_with_name0-rpow],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index_with_name0-rsub],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index_with_name0-rtruediv],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index_with_name0-sub],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index_with_name0-truediv],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index_with_name1-add],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index_with_name1-floordiv],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index_with_name1-mod],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index_with_name1-mul],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index_with_name1-pow],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index_with_name1-radd],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index_with_name1-rfloordiv],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index_with_name1-rmod],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index_with_name1-rmul],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index_with_name1-rpow],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index_with_name1-rsub],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index_with_name1-rtruediv],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index_with_name1-sub],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index_with_name1-truediv],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[list0-add],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[list0-floordiv],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[list0-mod],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[list0-mul],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[list0-pow],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[list0-radd],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[list0-rfloordiv],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[list0-rmod],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[list0-rmul],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[list0-rpow],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[list0-rsub],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[list0-rtruediv],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[list0-sub],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[list0-truediv],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[list1-add],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[list1-floordiv],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[list1-mod],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[list1-mul],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[list1-pow],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[list1-radd],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[list1-rfloordiv],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[list1-rmod],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[list1-rmul],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[list1-rpow],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[list1-rsub],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[list1-rtruediv],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[list1-sub],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[list1-truediv],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[ndarray0-add],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[ndarray0-floordiv],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[ndarray0-mod],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[ndarray0-mul],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[ndarray0-pow],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[ndarray0-radd],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[ndarray0-rfloordiv],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[ndarray0-rmod],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[ndarray0-rmul],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[ndarray0-rpow],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[ndarray0-rsub],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[ndarray0-rtruediv],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[ndarray0-sub],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[ndarray0-truediv],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[ndarray1-add],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[ndarray1-floordiv],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[ndarray1-mod],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[ndarray1-mul],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[ndarray1-pow],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[ndarray1-radd],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[ndarray1-rfloordiv],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[ndarray1-rmod],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[ndarray1-rmul],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[ndarray1-rpow],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[ndarray1-rsub],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[ndarray1-rtruediv],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[ndarray1-sub],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[ndarray1-truediv],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index0-add],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index0-floordiv],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index0-mod],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index0-mul],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index0-pow],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index0-radd],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index0-rfloordiv],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index0-rmod],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index0-rmul],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index0-rpow],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index0-rsub],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index0-rtruediv],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index0-sub],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index0-truediv],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index1-add],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index1-floordiv],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index1-mod],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index1-mul],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index1-pow],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index1-radd],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index1-rfloordiv],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index1-rmod],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index1-rmul],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index1-rpow],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index1-rsub],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index1-rtruediv],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index1-sub],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index1-truediv],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index_with_name0-add],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index_with_name0-floordiv],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index_with_name0-mod],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index_with_name0-mul],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index_with_name0-pow],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index_with_name0-radd],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index_with_name0-rfloordiv],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index_with_name0-rmod],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index_with_name0-rmul],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index_with_name0-rpow],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index_with_name0-rsub],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index_with_name0-rtruediv],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index_with_name0-sub],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index_with_name0-truediv],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index_with_name1-add],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index_with_name1-floordiv],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index_with_name1-mod],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index_with_name1-mul],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index_with_name1-pow],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index_with_name1-radd],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index_with_name1-rfloordiv],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index_with_name1-rmod],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index_with_name1-rmul],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index_with_name1-rpow],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index_with_name1-rsub],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index_with_name1-rtruediv],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index_with_name1-sub],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index_with_name1-truediv],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[list0-add],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[list0-floordiv],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[list0-mod],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[list0-mul],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[list0-pow],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[list0-radd],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[list0-rfloordiv],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[list0-rmod],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[list0-rmul],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[list0-rpow],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[list0-rsub],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[list0-rtruediv],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[list0-sub],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[list0-truediv],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[list1-add],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[list1-floordiv],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[list1-mod],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[list1-mul],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[list1-pow],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[list1-radd],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[list1-rfloordiv],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[list1-rmod],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[list1-rmul],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[list1-rpow],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[list1-rsub],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[list1-rtruediv],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[list1-sub],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[list1-truediv],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[ndarray0-add],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[ndarray0-floordiv],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[ndarray0-mod],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[ndarray0-mul],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[ndarray0-pow],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[ndarray0-radd],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[ndarray0-rfloordiv],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[ndarray0-rmod],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[ndarray0-rmul],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[ndarray0-rpow],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[ndarray0-rsub],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[ndarray0-rtruediv],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[ndarray0-sub],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[ndarray0-truediv],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[ndarray1-add],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[ndarray1-floordiv],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[ndarray1-mod],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[ndarray1-mul],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[ndarray1-pow],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[ndarray1-radd],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[ndarray1-rfloordiv],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[ndarray1-rmod],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[ndarray1-rmul],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[ndarray1-rpow],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[ndarray1-rsub],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[ndarray1-rtruediv],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[ndarray1-sub],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[ndarray1-truediv],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed +tests.integ.modin.binary.test_binary_op,test_binary_pow_deviating_behavior_series[ser1-res1],"AssertionError: Attributes of Series are different Attribute ""dtype"" are different [left]: object [right]: float64",failed -4533,tests.integ.modin.binary.test_binary_op,test_binary_pow_deviating_behavior_series[ser2-res2],"AssertionError: Attributes of Series are different +tests.integ.modin.binary.test_binary_op,test_binary_pow_deviating_behavior_series[ser2-res2],"AssertionError: Attributes of Series are different Attribute ""dtype"" are different [left]: object [right]: float64",failed -4536,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[mean0-1-False],AttributeError: can't set attribute,failed -4541,tests.integ.modin.frame.test_iloc,test_df_iloc_get_dataframe_with_range[key1],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed -4544,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values2-item_index2-None-5-col_key3-col_key_index3-1-None],ValueError: buffer source array is read-only,failed -4550,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[mean0-True-True],AttributeError: can't set attribute,failed -4554,tests.integ.modin.frame.test_iloc,test_df_iloc_get_dataframe_with_range[key2],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed -4559,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values2-item_index2-None-5-col_key3-col_key_index3-row_key1-None],"AssertionError: DataFrame.iloc[:, 1] (column name=""('b', 2)"") are different +tests.integ.modin.binary.test_binary_op,test_binary_pow_scalar_different_from_pandas,"AssertionError: Attributes of Series are different -DataFrame.iloc[:, 1] (column name=""('b', 2)"") values are different (40.0 %) -[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] -[left]: [nan, 11.0, 101.0, nan, -6.0] -[right]: [-996, 11, 101, -997, -6]",failed -4564,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[mean0-True-False],AttributeError: can't set attribute,failed -4565,tests.integ.modin.frame.test_iloc,test_df_iloc_get_dataframe_with_range[key3],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed -4574,tests.integ.modin.frame.test_iloc,test_df_iloc_get_dataframe_with_range[key4],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed -4576,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[mean0-all-True],AttributeError: can't set attribute,failed -4578,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values2-item_index2-None-5-col_key3-col_key_index3-row_key2-row_key_index2],"AssertionError: DataFrame.iloc[:, 1] (column name=""('b', 2)"") are different - -DataFrame.iloc[:, 1] (column name=""('b', 2)"") values are different (40.0 %) -[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] -[left]: [2.0, nan, nan, 56.0, -6.0] -[right]: [2, -997, -996, 56, -6]",failed -4588,tests.integ.modin.frame.test_iloc,test_df_iloc_get_dataframe_with_range[key5],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed -4590,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[mean0-all-False],AttributeError: can't set attribute,failed -4594,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values2-item_index2-None-5-col_key3-col_key_index3-row_key3-row_key_index3],"AssertionError: DataFrame.iloc[:, 1] (column name=""('b', 2)"") are different - -DataFrame.iloc[:, 1] (column name=""('b', 2)"") values are different (40.0 %) -[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] -[left]: [2.0, nan, nan, 56.0, -6.0] -[right]: [2, -996, -997, 56, -6]",failed -4599,tests.integ.modin.frame.test_iloc,test_df_iloc_get_dataframe_with_range[key6],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed -4602,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[mean0-index-True],AttributeError: can't set attribute,failed -4605,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values3-item_index3-item_columns3-5-2-None-1-None],"AssertionError: DataFrame.iloc[:, 2] (column name=""('a', 2)"") are different - -DataFrame.iloc[:, 2] (column name=""('a', 2)"") values are different (20.0 %) -[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] -[left]: [3.0, nan, 98.0, 57.0, -7.0] -[right]: [3, -999, 98, 57, -7]",failed -4612,tests.integ.modin.frame.test_iloc,test_df_iloc_get_dataframe_with_range[key7],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed -4614,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[mean0-index-False],AttributeError: can't set attribute,failed -4615,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values3-item_index3-item_columns3-5-2-None-row_key1-None],"AssertionError: DataFrame.iloc[:, 2] (column name=""('a', 2)"") are different - -DataFrame.iloc[:, 2] (column name=""('a', 2)"") values are different (40.0 %) -[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] -[left]: [nan, 12.0, 98.0, nan, -7.0] -[right]: [-998, 12, 98, -999, -7]",failed -4623,tests.integ.modin.test_concat,test_concat_timedelta_not_implemented,Failed: DID NOT RAISE ,failed -4625,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values3-item_index3-item_columns3-5-2-None-row_key2-row_key_index2],"AssertionError: DataFrame.iloc[:, 2] (column name=""('a', 2)"") are different - -DataFrame.iloc[:, 2] (column name=""('a', 2)"") values are different (40.0 %) -[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] -[left]: [3.0, nan, nan, 57.0, -7.0] -[right]: [3, -999, -998, 57, -7]",failed -4629,tests.integ.modin.binary.test_timedelta,test_timestamp_dataframe_minus_timestamp_series,TypeError: cannot subtract DatetimeArray from ndarray,failed -4636,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values3-item_index3-item_columns3-5-2-None-row_key3-row_key_index3],"AssertionError: DataFrame.iloc[:, 2] (column name=""('a', 2)"") are different - -DataFrame.iloc[:, 2] (column name=""('a', 2)"") values are different (40.0 %) -[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] -[left]: [3.0, nan, nan, 57.0, -7.0] -[right]: [3, -998, -999, 57, -7]",failed -4637,tests.integ.modin.frame.test_iloc,test_df_iloc_get_dataframe_with_range[key8],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed -4640,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[mean0-columns-True],AttributeError: can't set attribute,failed -4646,tests.integ.modin.frame.test_iloc,test_df_iloc_get_dataframe_with_range[key9],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed -4651,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[mean0-columns-False],AttributeError: can't set attribute,failed -4665,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[mean1-0-True],AttributeError: can't set attribute,failed -4668,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values3-item_index3-item_columns3-5-col_key1-None-1-None],ValueError: buffer source array is read-only,failed -4680,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[mean1-0-False],AttributeError: can't set attribute,failed -4681,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values3-item_index3-item_columns3-5-col_key1-None-row_key1-None],"AssertionError: DataFrame.iloc[:, 1] (column name=""('b', 2)"") are different - -DataFrame.iloc[:, 1] (column name=""('b', 2)"") values are different (40.0 %) -[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] -[left]: [nan, 11.0, 101.0, nan, -6.0] -[right]: [-996, 11, 101, -997, -6]",failed -4692,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[mean1-1-True],AttributeError: can't set attribute,failed -4695,tests.integ.modin.binary.test_timedelta,test_timestamp_series_minus_timestamp_dataframe,numpy.core._exceptions._UFuncBinaryResolutionError: ufunc 'subtract' cannot use operands with types dtype(',failed -4846,tests.integ.modin.test_cut,test_cut_labels_none_negative,Failed: DID NOT RAISE ,failed -4852,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[mean1-columns-True],AttributeError: can't set attribute,failed -4853,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values3-item_index3-item_columns3-5-col_key2-col_key_index2-row_key3-row_key_index3],"AssertionError: DataFrame.iloc[:, 1] (column name=""('b', 2)"") are different - -DataFrame.iloc[:, 1] (column name=""('b', 2)"") values are different (40.0 %) -[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] -[left]: [2.0, nan, nan, 56.0, -6.0] -[right]: [2, -998, -999, 56, -6]",failed -4857,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[mean1-columns-False],AttributeError: can't set attribute,failed -4859,tests.integ.modin.binary.test_timedelta,test_timedelta_dataframe_plus_timestamp_series[add],numpy.core._exceptions._UFuncBinaryResolutionError: ufunc 'add' cannot use operands with types dtype('float64') and dtype('2],AssertionError,failed +tests.integ.modin.binary.test_binary_op,test_binary_single_row_dataframe_and_series[3],AssertionError,failed +tests.integ.modin.binary.test_binary_op,test_binary_sub_dataframe_and_dataframe_duplicate_labels_negative[df10-df20-True],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_binary_sub_dataframe_and_dataframe_duplicate_labels_negative[df11-df21-False],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_binary_sub_dataframe_and_dataframe_duplicate_labels_negative[df12-df22-True],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_binary_sub_dataframe_and_dataframe_duplicate_labels_negative[df13-df23-False],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_binary_that_deviates_for_series_mod[ser0-res0],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_binary_that_deviates_for_series_mod[ser1-res1],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_binary_that_deviates_for_series_mod[ser10-res10],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_binary_that_deviates_for_series_mod[ser11-res11],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_binary_that_deviates_for_series_mod[ser2-res2],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_binary_that_deviates_for_series_mod[ser3-res3],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_binary_that_deviates_for_series_mod[ser4-res4],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_binary_that_deviates_for_series_mod[ser5-res5],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_binary_that_deviates_for_series_mod[ser6-res6],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_binary_that_deviates_for_series_mod[ser7-res7],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_binary_that_deviates_for_series_mod[ser8-res8],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_binary_that_deviates_for_series_mod[ser9-res9],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_generated_docstring_examples[eq],"AssertionError: Series are different Series values are different (40.0 %) [index]: [a, b, c, d, f] [left]: [False, False, False, False, False] [right]: [False, False, False, None, None]",failed -4905,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[min0-True-True],AttributeError: can't set attribute,failed -4906,tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_between_series_and_scalar_nan[10.001-radd],"AssertionError: Series are different - -Series values are different (60.0 %) -[index]: [0, 1, 2, 3, 4] -[left]: [nan, nan, nan, nan, nan] -[right]: [24.000999999999998, 26.801000000000002, nan, 185.001, nan] -At positional index 0, first diff: nan != 24.000999999999998",failed -4908,tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_between_series_and_scalar_nan[10.001-sub],"AssertionError: Series are different - -Series values are different (60.0 %) -[index]: [0, 1, 2, 3, 4] -[left]: [nan, nan, nan, nan, nan] -[right]: [3.9990000000000006, 6.799000000000001, nan, 164.999, nan] -At positional index 0, first diff: nan != 3.9990000000000006",failed -4909,tests.integ.modin.binary.test_binary_op,test_generated_docstring_examples[ne],"AssertionError: Series are different +tests.integ.modin.binary.test_binary_op,test_generated_docstring_examples[ge],"AssertionError: Series are different Series values are different (40.0 %) [index]: [a, b, c, d, f] -[left]: [True, True, True, True, True] -[right]: [True, True, True, None, None]",failed -4910,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[min0-True-False],AttributeError: can't set attribute,failed -4911,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values3-item_index3-item_columns3-5-col_key3-col_key_index3-row_key3-row_key_index3],"AssertionError: DataFrame.iloc[:, 1] (column name=""('b', 2)"") are different - -DataFrame.iloc[:, 1] (column name=""('b', 2)"") values are different (40.0 %) -[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] -[left]: [2.0, nan, nan, 56.0, -6.0] -[right]: [2, -996, -997, 56, -6]",failed -4912,tests.integ.modin.frame.test_iloc,test_df_iloc_get_row_input_snowpark_pandas_return_dataframe[Index-2],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -4913,tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_between_series_and_scalar_nan[10.001-rsub],"AssertionError: Series are different - -Series values are different (60.0 %) -[index]: [0, 1, 2, 3, 4] -[left]: [nan, nan, nan, nan, nan] -[right]: [-3.9990000000000006, -6.799000000000001, nan, -164.999, nan] -At positional index 0, first diff: nan != -3.9990000000000006",failed -4915,tests.integ.modin.binary.test_binary_op,test_generated_docstring_examples[gt],"AssertionError: Series are different +[left]: [True, False, False, False, False] +[right]: [True, False, False, None, None]",failed +tests.integ.modin.binary.test_binary_op,test_generated_docstring_examples[gt],"AssertionError: Series are different Series values are different (40.0 %) [index]: [a, b, c, d, f] [left]: [True, False, False, False, False] [right]: [True, False, False, None, None]",failed -4916,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values4-None-item_columns4-3-2-None-1-None],"AssertionError: DataFrame.iloc[:, 2] (column name=""('a', 2)"") are different - -DataFrame.iloc[:, 2] (column name=""('a', 2)"") values are different (20.0 %) -[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] -[left]: [3.0, nan, 98.0, 57.0, -7.0] -[right]: [3, -999, 98, 57, -7]",failed -4917,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values4-None-item_columns4-3-2-None-row_key1-None],"AssertionError: DataFrame.iloc[:, 2] (column name=""('a', 2)"") are different - -DataFrame.iloc[:, 2] (column name=""('a', 2)"") values are different (40.0 %) -[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] -[left]: [nan, 12.0, 98.0, nan, -7.0] -[right]: [-998, 12, 98, -999, -7]",failed -4919,tests.integ.modin.binary.test_binary_op,test_generated_docstring_examples[lt],"AssertionError: Series are different +tests.integ.modin.binary.test_binary_op,test_generated_docstring_examples[le],"AssertionError: Series are different Series values are different (40.0 %) [index]: [a, b, c, d, f] [left]: [False, True, True, False, False] [right]: [False, True, True, None, None]",failed -4920,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[min0-all-True],AttributeError: can't set attribute,failed -4921,tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_between_series_and_scalar_nan[10.001-mul],"AssertionError: Series are different - -Series values are different (60.0 %) -[index]: [0, 1, 2, 3, 4] -[left]: [nan, nan, nan, nan, nan] -[right]: [140.01399999999998, 168.0168, nan, 1750.175, nan] -At positional index 0, first diff: nan != 140.01399999999998",failed -4922,tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[last--9-6-4],KeyError: 15,failed -4923,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values4-None-item_columns4-3-2-None-row_key2-row_key_index2],"AssertionError: DataFrame.iloc[:, 2] (column name=""('a', 2)"") are different - -DataFrame.iloc[:, 2] (column name=""('a', 2)"") values are different (40.0 %) -[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] -[left]: [3.0, nan, nan, 57.0, -7.0] -[right]: [3, -999, -998, 57, -7]",failed -4925,tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_between_series_and_scalar_nan[10.001-rmul],"AssertionError: Series are different - -Series values are different (60.0 %) -[index]: [0, 1, 2, 3, 4] -[left]: [nan, nan, nan, nan, nan] -[right]: [140.01399999999998, 168.0168, nan, 1750.175, nan] -At positional index 0, first diff: nan != 140.01399999999998",failed -4926,tests.integ.modin.binary.test_binary_op,test_generated_docstring_examples[ge],"AssertionError: Series are different - -Series values are different (40.0 %) -[index]: [a, b, c, d, f] -[left]: [True, False, False, False, False] -[right]: [True, False, False, None, None]",failed -4927,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[min0-all-False],AttributeError: can't set attribute,failed -4928,tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_between_series_and_scalar_nan[10.001-truediv],"AssertionError: Series are different - -Series values are different (60.0 %) -[index]: [0, 1, 2, 3, 4] -[left]: [nan, nan, nan, nan, nan] -[right]: [1.3998600139986002, 1.6798320167983203, nan, 17.498250174982502, nan] -At positional index 0, first diff: nan != 1.3998600139986002",failed -4929,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values4-None-item_columns4-3-2-None-row_key3-row_key_index3],"AssertionError: DataFrame.iloc[:, 2] (column name=""('a', 2)"") are different - -DataFrame.iloc[:, 2] (column name=""('a', 2)"") values are different (40.0 %) -[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] -[left]: [3.0, nan, nan, 57.0, -7.0] -[right]: [3, -998, -999, 57, -7]",failed -4930,tests.integ.modin.binary.test_binary_op,test_generated_docstring_examples[le],"AssertionError: Series are different +tests.integ.modin.binary.test_binary_op,test_generated_docstring_examples[lt],"AssertionError: Series are different Series values are different (40.0 %) [index]: [a, b, c, d, f] [left]: [False, True, True, False, False] [right]: [False, True, True, None, None]",failed -4932,tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_between_series_and_scalar_nan[10.001-rtruediv],"AssertionError: Series are different +tests.integ.modin.binary.test_binary_op,test_generated_docstring_examples[ne],"AssertionError: Series are different -Series values are different (60.0 %) -[index]: [0, 1, 2, 3, 4] -[left]: [nan, nan, nan, nan, nan] -[right]: [0.7143571428571428, 0.595297619047619, nan, 0.057148571428571424, nan] -At positional index 0, first diff: nan != 0.7143571428571428",failed -4933,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[min0-index-True],AttributeError: can't set attribute,failed -4934,tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_between_series_and_scalar_nan[10.001-floordiv],"AssertionError: Series are different +Series values are different (40.0 %) +[index]: [a, b, c, d, f] +[left]: [True, True, True, True, True] +[right]: [True, True, True, None, None]",failed +tests.integ.modin.binary.test_binary_op,test_other_with_native_pandas_object_raises[__and__],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_other_with_native_pandas_object_raises[__or__],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_other_with_native_pandas_object_raises[__rand__],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_other_with_native_pandas_object_raises[__ror__],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_other_with_native_pandas_object_raises[add],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_other_with_native_pandas_object_raises[eq],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_other_with_native_pandas_object_raises[floordiv],ZeroDivisionError: integer division or modulo by zero,failed +tests.integ.modin.binary.test_binary_op,test_other_with_native_pandas_object_raises[ge],"AssertionError: Regex pattern did not match. + Regex: 'Please convert this to Snowpark pandas objects' + Input: ""'>=' not supported between instances of 'NoneType' and 'NoneType'""",failed +tests.integ.modin.binary.test_binary_op,test_other_with_native_pandas_object_raises[gt],"AssertionError: Regex pattern did not match. + Regex: 'Please convert this to Snowpark pandas objects' + Input: ""'>' not supported between instances of 'NoneType' and 'NoneType'""",failed +tests.integ.modin.binary.test_binary_op,test_other_with_native_pandas_object_raises[le],"AssertionError: Regex pattern did not match. + Regex: 'Please convert this to Snowpark pandas objects' + Input: ""'<=' not supported between instances of 'NoneType' and 'NoneType'""",failed +tests.integ.modin.binary.test_binary_op,test_other_with_native_pandas_object_raises[lt],"AssertionError: Regex pattern did not match. + Regex: 'Please convert this to Snowpark pandas objects' + Input: ""'<' not supported between instances of 'NoneType' and 'NoneType'""",failed +tests.integ.modin.binary.test_binary_op,test_other_with_native_pandas_object_raises[mod],ZeroDivisionError: integer division or modulo by zero,failed +tests.integ.modin.binary.test_binary_op,test_other_with_native_pandas_object_raises[mul],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_other_with_native_pandas_object_raises[ne],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_other_with_native_pandas_object_raises[pow],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_other_with_native_pandas_object_raises[radd],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_other_with_native_pandas_object_raises[rfloordiv],ZeroDivisionError: integer division or modulo by zero,failed +tests.integ.modin.binary.test_binary_op,test_other_with_native_pandas_object_raises[rmod],ZeroDivisionError: integer division or modulo by zero,failed +tests.integ.modin.binary.test_binary_op,test_other_with_native_pandas_object_raises[rmul],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_other_with_native_pandas_object_raises[rpow],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_other_with_native_pandas_object_raises[rsub],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_other_with_native_pandas_object_raises[rtruediv],ZeroDivisionError: division by zero,failed +tests.integ.modin.binary.test_binary_op,test_other_with_native_pandas_object_raises[sub],Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_binary_op,test_other_with_native_pandas_object_raises[truediv],ZeroDivisionError: division by zero,failed +tests.integ.modin.binary.test_timedelta,test_bitwise_timedelta_numeric[__and__-__and__],"AssertionError: Regex pattern did not match. + Regex: 'Snowpark\\ pandas\\ does\\ not\\ support\\ binary\\ operation\\ __and__\\ between\\ timedelta\\ and\\ a\\ non\\-timedelta\\ type' + Input: ""unsupported operand type(s) for &: 'TimedeltaArray' and 'int'""",failed +tests.integ.modin.binary.test_timedelta,test_bitwise_timedelta_numeric[__or__-__or__],"AssertionError: Regex pattern did not match. + Regex: 'Snowpark\\ pandas\\ does\\ not\\ support\\ binary\\ operation\\ __or__\\ between\\ timedelta\\ and\\ a\\ non\\-timedelta\\ type' + Input: ""unsupported operand type(s) for |: 'TimedeltaArray' and 'int'""",failed +tests.integ.modin.binary.test_timedelta,test_bitwise_timedelta_numeric[__rand__-__and__],"AssertionError: Regex pattern did not match. + Regex: 'Snowpark\\ pandas\\ does\\ not\\ support\\ binary\\ operation\\ __and__\\ between\\ timedelta\\ and\\ a\\ non\\-timedelta\\ type' + Input: ""unsupported operand type(s) for &: 'int' and 'TimedeltaArray'""",failed +tests.integ.modin.binary.test_timedelta,test_bitwise_timedelta_numeric[__ror__-__or__],"AssertionError: Regex pattern did not match. + Regex: 'Snowpark\\ pandas\\ does\\ not\\ support\\ binary\\ operation\\ __or__\\ between\\ timedelta\\ and\\ a\\ non\\-timedelta\\ type' + Input: ""unsupported operand type(s) for |: 'int' and 'TimedeltaArray'""",failed +tests.integ.modin.binary.test_timedelta,test_comparison_with_null[eq],"AssertionError: DataFrame.iloc[:, 0] (column name=""0"") are different -Series values are different (60.0 %) -[index]: [0, 1, 2, 3, 4] -[left]: [nan, nan, nan, nan, nan] -[right]: [1.0, 1.0, nan, 17.0, nan] -At positional index 0, first diff: nan != 1.0",failed -4937,tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_between_series_and_scalar_nan[10.001-rfloordiv],"AssertionError: Series are different +DataFrame.iloc[:, 0] (column name=""0"") values are different (100.0 %) +[index]: [0, 1] +[left]: [False, False] +[right]: [None, None]",failed +tests.integ.modin.binary.test_timedelta,test_comparison_with_null[ge],"AssertionError: DataFrame.iloc[:, 0] (column name=""0"") are different -Series values are different (60.0 %) -[index]: [0, 1, 2, 3, 4] -[left]: [nan, nan, nan, nan, nan] -[right]: [0.0, 0.0, nan, 0.0, nan] -At positional index 0, first diff: nan != 0.0",failed -4938,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[min0-index-False],AttributeError: can't set attribute,failed -4940,tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_between_series_and_scalar_nan[10.001-mod],"AssertionError: Series are different +DataFrame.iloc[:, 0] (column name=""0"") values are different (100.0 %) +[index]: [0, 1] +[left]: [False, False] +[right]: [None, None]",failed +tests.integ.modin.binary.test_timedelta,test_comparison_with_null[gt],"AssertionError: DataFrame.iloc[:, 0] (column name=""0"") are different -Series values are different (60.0 %) -[index]: [0, 1, 2, 3, 4] -[left]: [nan, nan, nan, nan, nan] -[right]: [3.9990000000000006, 6.799000000000001, nan, 4.983000000000009, nan] -At positional index 0, first diff: nan != 3.9990000000000006",failed -4941,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values4-None-item_columns4-3-col_key1-None-1-None],ValueError: buffer source array is read-only,failed -4943,tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_between_series_and_scalar_nan[10.001-rmod],"AssertionError: Series are different +DataFrame.iloc[:, 0] (column name=""0"") values are different (100.0 %) +[index]: [0, 1] +[left]: [False, False] +[right]: [None, None]",failed +tests.integ.modin.binary.test_timedelta,test_comparison_with_null[le],"AssertionError: DataFrame.iloc[:, 0] (column name=""0"") are different -Series values are different (60.0 %) -[index]: [0, 1, 2, 3, 4] -[left]: [nan, nan, nan, nan, nan] -[right]: [10.001, 10.001, nan, 10.001, nan] -At positional index 0, first diff: nan != 10.001",failed -4944,tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[last--9-6-6],KeyError: 15,failed -4945,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[min0-columns-True],AttributeError: can't set attribute,failed -4947,tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_between_series_and_scalar_nan[10.001-pow],"AssertionError: Series are different +DataFrame.iloc[:, 0] (column name=""0"") values are different (100.0 %) +[index]: [0, 1] +[left]: [False, False] +[right]: [None, None]",failed +tests.integ.modin.binary.test_timedelta,test_comparison_with_null[lt],"AssertionError: DataFrame.iloc[:, 0] (column name=""0"") are different -Series values are different (60.0 %) -[index]: [0, 1, 2, 3, 4] -[left]: [nan, nan, nan, nan, nan] -[right]: [290019022754.90625, 1796048774939.5837, nan, 2.7078432771126627e+22, nan] -At positional index 0, first diff: nan != 290019022754.90625",failed -4948,tests.integ.modin.frame.test_iloc,test_df_iloc_get_row_input_snowpark_pandas_return_dataframe[Series-2],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -4950,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values4-None-item_columns4-3-col_key1-None-row_key1-None],"AssertionError: DataFrame.iloc[:, 1] (column name=""('b', 2)"") are different +DataFrame.iloc[:, 0] (column name=""0"") values are different (100.0 %) +[index]: [0, 1] +[left]: [False, False] +[right]: [None, None]",failed +tests.integ.modin.binary.test_timedelta,test_comparison_with_null[ne],"AssertionError: DataFrame.iloc[:, 0] (column name=""0"") are different -DataFrame.iloc[:, 1] (column name=""('b', 2)"") values are different (40.0 %) -[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] -[left]: [nan, 11.0, 101.0, nan, -6.0] -[right]: [-996, 11, 101, -997, -6]",failed -4951,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[min0-columns-False],AttributeError: can't set attribute,failed -4954,tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_between_series_and_scalar_nan[10.001-rpow],"AssertionError: Series are different +DataFrame.iloc[:, 0] (column name=""0"") values are different (100.0 %) +[index]: [0, 1] +[left]: [True, True] +[right]: [None, None]",failed +tests.integ.modin.binary.test_timedelta,test_datetime_timedelta_scalar_divide_by_numeric_dataframe,"AssertionError: Attributes of DataFrame.iloc[:, 0] (column name=""0"") are different -Series values are different (60.0 %) -[index]: [0, 1, 2, 3, 4] -[left]: [nan, nan, nan, nan, nan] -[right]: [100140091036409.94, 6.320181906387712e+16, nan, 1.0176531317632308e+175, nan] -At positional index 0, first diff: nan != 100140091036409.94",failed -4958,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[eq-rhs0-lhs0],"AssertionError: Series are different +Attribute ""dtype"" are different +[left]: timedelta64[us] +[right]: timedelta64[ns]",failed +tests.integ.modin.binary.test_timedelta,test_divide_number_scalar_by_timedelta_dataframe[rdiv],"AssertionError: Regex pattern did not match. + Regex: 'Snowpark\\ pandas\\ does\\ not\\ support\\ dividing\\ numeric\\ values\\ by\\ timedelta\\ values\\ with\\ div\\ \\(/\\),\\ mod\\ \\(%\\),\\ or\\ floordiv\\ \\(//\\)\\.' + Input: 'Cannot divide int by TimedeltaArray'",failed +tests.integ.modin.binary.test_timedelta,test_divide_number_scalar_by_timedelta_dataframe[rfloordiv],"AssertionError: Regex pattern did not match. + Regex: 'Snowpark\\ pandas\\ does\\ not\\ support\\ dividing\\ numeric\\ values\\ by\\ timedelta\\ values\\ with\\ div\\ \\(/\\),\\ mod\\ \\(%\\),\\ or\\ floordiv\\ \\(//\\)\\.' + Input: 'Cannot divide int by TimedeltaArray'",failed +tests.integ.modin.binary.test_timedelta,test_divide_number_scalar_by_timedelta_dataframe[rmod],"AssertionError: Regex pattern did not match. + Regex: 'Snowpark\\ pandas\\ does\\ not\\ support\\ dividing\\ numeric\\ values\\ by\\ timedelta\\ values\\ with\\ div\\ \\(/\\),\\ mod\\ \\(%\\),\\ or\\ floordiv\\ \\(//\\)\\.' + Input: 'Cannot divide int by TimedeltaArray'",failed +tests.integ.modin.binary.test_timedelta,test_divide_number_scalar_by_timedelta_dataframe[rtruediv],"AssertionError: Regex pattern did not match. + Regex: 'Snowpark\\ pandas\\ does\\ not\\ support\\ dividing\\ numeric\\ values\\ by\\ timedelta\\ values\\ with\\ div\\ \\(/\\),\\ mod\\ \\(%\\),\\ or\\ floordiv\\ \\(//\\)\\.' + Input: 'Cannot divide int by TimedeltaArray'",failed +tests.integ.modin.binary.test_timedelta,test_divide_timdelta_by_zero_integer,Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_timedelta,test_divide_timedelta_by_zero_timedelta,Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_timedelta,test_eq_non_null,"AssertionError: DataFrame.iloc[:, 1] (column name=""1"") are different -Series values are different (5.55556 %) -[index]: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17] -[left]: [True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, False] -[right]: [True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, ]",failed -4959,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values4-None-item_columns4-3-col_key1-None-row_key2-row_key_index2],"AssertionError: DataFrame.iloc[:, 1] (column name=""('b', 2)"") are different +DataFrame.iloc[:, 1] (column name=""1"") values are different (50.0 %) +[index]: [0, 1] +[left]: [False, False] +[right]: [None, False]",failed +tests.integ.modin.binary.test_timedelta,test_floordiv_timedelta_by_zero_integer,Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_timedelta,test_floordiv_timedelta_by_zero_timedelta,Failed: DID NOT RAISE ,failed +tests.integ.modin.binary.test_timedelta,test_invalid_ops_between_timedelta_dataframe_and_string_scalar[__and__-Boolean],AssertionError: exception type does not match with expected type ,failed +tests.integ.modin.binary.test_timedelta,test_invalid_ops_between_timedelta_dataframe_and_string_scalar[__or__-Boolean],AssertionError: exception type does not match with expected type ,failed +tests.integ.modin.binary.test_timedelta,test_invalid_ops_between_timedelta_dataframe_and_string_scalar[__rand__-Boolean],AssertionError: exception type does not match with expected type ,failed +tests.integ.modin.binary.test_timedelta,test_invalid_ops_between_timedelta_dataframe_and_string_scalar[__ror__-Boolean],AssertionError: exception type does not match with expected type ,failed +tests.integ.modin.binary.test_timedelta,test_invalid_ops_between_timedelta_dataframe_and_string_scalar[pow-Numeric],AssertionError: exception type does not match with expected type ,failed +tests.integ.modin.binary.test_timedelta,test_invalid_ops_between_timedelta_dataframe_and_string_scalar[rpow-Numeric],AssertionError: exception type does not match with expected type ,failed +tests.integ.modin.binary.test_timedelta,test_mod_timedelta_by_zero_timedelta,"AssertionError: Series are different -DataFrame.iloc[:, 1] (column name=""('b', 2)"") values are different (40.0 %) -[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] -[left]: [2.0, nan, nan, 56.0, -6.0] -[right]: [2, -997, -996, 56, -6]",failed -4961,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[min1-0-True],AttributeError: can't set attribute,failed -4966,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[eq-rhs0-lhs1],"AssertionError: Series are different +Series values are different (100.0 %) +[index]: [0] +[left]: [1] +[right]: [-9223372036854775808]",failed +tests.integ.modin.binary.test_timedelta,test_neq_non_null,"AssertionError: DataFrame.iloc[:, 1] (column name=""1"") are different -Series values are different (11.11111 %) -[index]: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17] -[left]: [False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False] -[right]: [False, False, False, False, False, False, , False, False, False, False, False, False, False, False, False, False, ]",failed -4969,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[min1-0-False],AttributeError: can't set attribute,failed -4970,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values4-None-item_columns4-3-col_key1-None-row_key3-row_key_index3],"AssertionError: DataFrame.iloc[:, 1] (column name=""('b', 2)"") are different - -DataFrame.iloc[:, 1] (column name=""('b', 2)"") values are different (40.0 %) -[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] -[left]: [2.0, nan, nan, 56.0, -6.0] -[right]: [2, -996, -997, 56, -6]",failed -4972,tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[first--1-1-None],KeyError: 2,failed -4973,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[eq-rhs0-lhs2],"AssertionError: Series are different +DataFrame.iloc[:, 1] (column name=""1"") values are different (50.0 %) +[index]: [0, 1] +[left]: [True, True] +[right]: [None, True]",failed +tests.integ.modin.binary.test_timedelta,test_numeric_dataframe_and_timedelta_list_like[eq],TypeError: Cannot do operation with improper dtypes,failed +tests.integ.modin.binary.test_timedelta,test_numeric_dataframe_and_timedelta_list_like[mul],TypeError: Cannot do operation with improper dtypes,failed +tests.integ.modin.binary.test_timedelta,test_numeric_dataframe_and_timedelta_list_like[ne],TypeError: Cannot do operation with improper dtypes,failed +tests.integ.modin.binary.test_timedelta,test_numeric_dataframe_and_timedelta_list_like[rdiv],TypeError: Cannot do operation with improper dtypes,failed +tests.integ.modin.binary.test_timedelta,test_numeric_dataframe_and_timedelta_list_like[rfloordiv],TypeError: Cannot do operation with improper dtypes,failed +tests.integ.modin.binary.test_timedelta,test_numeric_dataframe_and_timedelta_list_like[rmod],TypeError: Cannot do operation with improper dtypes,failed +tests.integ.modin.binary.test_timedelta,test_numeric_dataframe_and_timedelta_list_like[rmul],TypeError: Cannot do operation with improper dtypes,failed +tests.integ.modin.binary.test_timedelta,test_numeric_dataframe_and_timedelta_list_like[rtruediv],TypeError: Cannot do operation with improper dtypes,failed +tests.integ.modin.binary.test_timedelta,test_numeric_dataframe_with_timedelta_list_like[eq],TypeError: Cannot do operation with improper dtypes,failed +tests.integ.modin.binary.test_timedelta,test_numeric_dataframe_with_timedelta_list_like[mul],TypeError: Cannot do operation with improper dtypes,failed +tests.integ.modin.binary.test_timedelta,test_numeric_dataframe_with_timedelta_list_like[ne],TypeError: Cannot do operation with improper dtypes,failed +tests.integ.modin.binary.test_timedelta,test_numeric_dataframe_with_timedelta_list_like[rdiv],TypeError: Cannot do operation with improper dtypes,failed +tests.integ.modin.binary.test_timedelta,test_numeric_dataframe_with_timedelta_list_like[rfloordiv],TypeError: Cannot do operation with improper dtypes,failed +tests.integ.modin.binary.test_timedelta,test_numeric_dataframe_with_timedelta_list_like[rmod],TypeError: Cannot do operation with improper dtypes,failed +tests.integ.modin.binary.test_timedelta,test_numeric_dataframe_with_timedelta_list_like[rmul],TypeError: Cannot do operation with improper dtypes,failed +tests.integ.modin.binary.test_timedelta,test_numeric_dataframe_with_timedelta_list_like[rtruediv],TypeError: Cannot do operation with improper dtypes,failed +tests.integ.modin.binary.test_timedelta,test_numeric_series_and_timedelta_list_like[eq],TypeError: Cannot do operation with improper dtypes,failed +tests.integ.modin.binary.test_timedelta,test_numeric_series_and_timedelta_list_like[mul],TypeError: Cannot do operation with improper dtypes,failed +tests.integ.modin.binary.test_timedelta,test_numeric_series_and_timedelta_list_like[ne],TypeError: Cannot do operation with improper dtypes,failed +tests.integ.modin.binary.test_timedelta,test_numeric_series_and_timedelta_list_like[rdiv],TypeError: Cannot do operation with improper dtypes,failed +tests.integ.modin.binary.test_timedelta,test_numeric_series_and_timedelta_list_like[rfloordiv],TypeError: Cannot do operation with improper dtypes,failed +tests.integ.modin.binary.test_timedelta,test_numeric_series_and_timedelta_list_like[rmod],TypeError: Cannot do operation with improper dtypes,failed +tests.integ.modin.binary.test_timedelta,test_numeric_series_and_timedelta_list_like[rmul],TypeError: Cannot do operation with improper dtypes,failed +tests.integ.modin.binary.test_timedelta,test_numeric_series_and_timedelta_list_like[rtruediv],TypeError: Cannot do operation with improper dtypes,failed +tests.integ.modin.binary.test_timedelta,test_pow_timedelta_numeric[pow],"AssertionError: Regex pattern did not match. + Regex: 'Snowpark\\ pandas\\ does\\ not\\ support\\ binary\\ operation\\ pow\\ between\\ timedelta\\ and\\ a\\ non\\-timedelta\\ type' + Input: 'cannot perform __pow__ with this index type: TimedeltaArray'",failed +tests.integ.modin.binary.test_timedelta,test_pow_timedelta_numeric[rpow],"AssertionError: Regex pattern did not match. + Regex: 'Snowpark\\ pandas\\ does\\ not\\ support\\ binary\\ operation\\ pow\\ between\\ timedelta\\ and\\ a\\ non\\-timedelta\\ type' + Input: 'cannot perform __rpow__ with this index type: TimedeltaArray'",failed +tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive0-add],[XPASS(strict)] SNOW-1646604,failed +tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive0-div],[XPASS(strict)] SNOW-1646604,failed +tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive0-eq],[XPASS(strict)] SNOW-1646604,failed +tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive0-ne],[XPASS(strict)] SNOW-1646604,failed +tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive0-sub],[XPASS(strict)] SNOW-1646604,failed +tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive0-truediv],[XPASS(strict)] SNOW-1646604,failed +tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive1-add],[XPASS(strict)] SNOW-1646604,failed +tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive1-div],[XPASS(strict)] SNOW-1646604,failed +tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive1-eq],[XPASS(strict)] SNOW-1646604,failed +tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive1-ne],[XPASS(strict)] SNOW-1646604,failed +tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive1-sub],[XPASS(strict)] SNOW-1646604,failed +tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive1-truediv],[XPASS(strict)] SNOW-1646604,failed +tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive2-add],[XPASS(strict)] SNOW-1646604,failed +tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive2-div],[XPASS(strict)] SNOW-1646604,failed +tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive2-eq],[XPASS(strict)] SNOW-1646604,failed +tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive2-ne],[XPASS(strict)] SNOW-1646604,failed +tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive2-sub],[XPASS(strict)] SNOW-1646604,failed +tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive2-truediv],[XPASS(strict)] SNOW-1646604,failed +tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive3-add],[XPASS(strict)] SNOW-1646604,failed +tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive3-div],[XPASS(strict)] SNOW-1646604,failed +tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive3-eq],[XPASS(strict)] SNOW-1646604,failed +tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive3-ne],[XPASS(strict)] SNOW-1646604,failed +tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive3-sub],[XPASS(strict)] SNOW-1646604,failed +tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive3-truediv],[XPASS(strict)] SNOW-1646604,failed +tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive4-add],[XPASS(strict)] SNOW-1646604,failed +tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive4-div],[XPASS(strict)] SNOW-1646604,failed +tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive4-eq],[XPASS(strict)] SNOW-1646604,failed +tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive4-ne],[XPASS(strict)] SNOW-1646604,failed +tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive4-sub],[XPASS(strict)] SNOW-1646604,failed +tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive4-truediv],[XPASS(strict)] SNOW-1646604,failed +tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive5-add],[XPASS(strict)] SNOW-1646604,failed +tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive5-div],[XPASS(strict)] SNOW-1646604,failed +tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive5-eq],[XPASS(strict)] SNOW-1646604,failed +tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive5-ne],[XPASS(strict)] SNOW-1646604,failed +tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive5-sub],[XPASS(strict)] SNOW-1646604,failed +tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive5-truediv],[XPASS(strict)] SNOW-1646604,failed +tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive6-add],[XPASS(strict)] SNOW-1646604,failed +tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive6-div],[XPASS(strict)] SNOW-1646604,failed +tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive6-eq],[XPASS(strict)] SNOW-1646604,failed +tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive6-ne],[XPASS(strict)] SNOW-1646604,failed +tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive6-sub],[XPASS(strict)] SNOW-1646604,failed +tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive6-truediv],[XPASS(strict)] SNOW-1646604,failed +tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive7-add],[XPASS(strict)] SNOW-1646604,failed +tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive7-div],[XPASS(strict)] SNOW-1646604,failed +tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive7-eq],[XPASS(strict)] SNOW-1646604,failed +tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive7-ne],[XPASS(strict)] SNOW-1646604,failed +tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive7-sub],[XPASS(strict)] SNOW-1646604,failed +tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive7-truediv],[XPASS(strict)] SNOW-1646604,failed +tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive8-add],[XPASS(strict)] SNOW-1646604,failed +tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive8-div],[XPASS(strict)] SNOW-1646604,failed +tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive8-eq],[XPASS(strict)] SNOW-1646604,failed +tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive8-ne],[XPASS(strict)] SNOW-1646604,failed +tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive8-sub],[XPASS(strict)] SNOW-1646604,failed +tests.integ.modin.binary.test_timedelta,test_string_series_with_timedelta_scalar[timedelta_scalar_positive8-truediv],[XPASS(strict)] SNOW-1646604,failed +tests.integ.modin.binary.test_timedelta,test_subtract_two_timestamps_timezones_disallowed[rsub-pandas_lhs1-pandas_rhs1],"AssertionError: Regex pattern did not match. + Regex: 'Cannot\\ subtract\\ tz\\-naive\\ and\\ tz\\-aware\\ datetime\\-like\\ objects\\.' + Input: 'Cannot subtract tz-naive and tz-aware datetime-like objects'",failed +tests.integ.modin.binary.test_timedelta,test_subtract_two_timestamps_timezones_disallowed[sub-pandas_lhs0-pandas_rhs0],"AssertionError: Regex pattern did not match. + Regex: 'Cannot\\ subtract\\ tz\\-naive\\ and\\ tz\\-aware\\ datetime\\-like\\ objects\\.' + Input: 'Cannot subtract tz-naive and tz-aware datetime-like objects'",failed +tests.integ.modin.binary.test_timedelta,test_timedelta_addition_and_subtraction_with_numeric[1-add],"AssertionError: Regex pattern did not match. + Regex: 'Snowpark\\ pandas\\ does\\ not\\ support\\ addition\\ or\\ subtraction\\ between\\ timedelta\\ values\\ and\\ numeric\\ values\\.' + Input: 'Addition/subtraction of integers and integer-arrays with TimedeltaArray is no longer supported. Instead of adding/subtracting `n`, use `n * obj.freq`'",failed +tests.integ.modin.binary.test_timedelta,test_timedelta_addition_and_subtraction_with_numeric[1-radd],"AssertionError: Regex pattern did not match. + Regex: 'Snowpark\\ pandas\\ does\\ not\\ support\\ addition\\ or\\ subtraction\\ between\\ timedelta\\ values\\ and\\ numeric\\ values\\.' + Input: 'Addition/subtraction of integers and integer-arrays with TimedeltaArray is no longer supported. Instead of adding/subtracting `n`, use `n * obj.freq`'",failed +tests.integ.modin.binary.test_timedelta,test_timedelta_addition_and_subtraction_with_numeric[1-rsub],"AssertionError: Regex pattern did not match. + Regex: 'Snowpark\\ pandas\\ does\\ not\\ support\\ addition\\ or\\ subtraction\\ between\\ timedelta\\ values\\ and\\ numeric\\ values\\.' + Input: 'Addition/subtraction of integers and integer-arrays with TimedeltaArray is no longer supported. Instead of adding/subtracting `n`, use `n * obj.freq`'",failed +tests.integ.modin.binary.test_timedelta,test_timedelta_addition_and_subtraction_with_numeric[1-sub],"AssertionError: Regex pattern did not match. + Regex: 'Snowpark\\ pandas\\ does\\ not\\ support\\ addition\\ or\\ subtraction\\ between\\ timedelta\\ values\\ and\\ numeric\\ values\\.' + Input: 'Addition/subtraction of integers and integer-arrays with TimedeltaArray is no longer supported. Instead of adding/subtracting `n`, use `n * obj.freq`'",failed +tests.integ.modin.binary.test_timedelta,test_timedelta_addition_and_subtraction_with_numeric[1.5-add],"AssertionError: Regex pattern did not match. + Regex: 'Snowpark\\ pandas\\ does\\ not\\ support\\ addition\\ or\\ subtraction\\ between\\ timedelta\\ values\\ and\\ numeric\\ values\\.' + Input: ""unsupported operand type(s) for +: 'TimedeltaArray' and 'float'""",failed +tests.integ.modin.binary.test_timedelta,test_timedelta_addition_and_subtraction_with_numeric[1.5-radd],"AssertionError: Regex pattern did not match. + Regex: 'Snowpark\\ pandas\\ does\\ not\\ support\\ addition\\ or\\ subtraction\\ between\\ timedelta\\ values\\ and\\ numeric\\ values\\.' + Input: ""unsupported operand type(s) for +: 'float' and 'TimedeltaArray'""",failed +tests.integ.modin.binary.test_timedelta,test_timedelta_addition_and_subtraction_with_numeric[1.5-rsub],"AssertionError: Regex pattern did not match. + Regex: 'Snowpark\\ pandas\\ does\\ not\\ support\\ addition\\ or\\ subtraction\\ between\\ timedelta\\ values\\ and\\ numeric\\ values\\.' + Input: ""unsupported operand type(s) for +: 'TimedeltaArray' and 'float'""",failed +tests.integ.modin.binary.test_timedelta,test_timedelta_addition_and_subtraction_with_numeric[1.5-sub],"AssertionError: Regex pattern did not match. + Regex: 'Snowpark\\ pandas\\ does\\ not\\ support\\ addition\\ or\\ subtraction\\ between\\ timedelta\\ values\\ and\\ numeric\\ values\\.' + Input: ""unsupported operand type(s) for -: 'TimedeltaArray' and 'float'""",failed +tests.integ.modin.binary.test_timedelta,test_timedelta_dataframe_bitwise_operation_with_timedelta_scalar[__and__-&],"AssertionError: Regex pattern did not match. + Regex: 'unsupported\\ operand\\ type\\ for\\ \\&:\\ Timedelta' + Input: ""unsupported operand type(s) for &: 'TimedeltaArray' and 'Timedelta'""",failed +tests.integ.modin.binary.test_timedelta,test_timedelta_dataframe_bitwise_operation_with_timedelta_scalar[__or__-|],"AssertionError: Regex pattern did not match. + Regex: 'unsupported\\ operand\\ type\\ for\\ \\|:\\ Timedelta' + Input: ""unsupported operand type(s) for |: 'TimedeltaArray' and 'Timedelta'""",failed +tests.integ.modin.binary.test_timedelta,test_timedelta_dataframe_bitwise_operation_with_timedelta_scalar[__rand__-&],"AssertionError: Regex pattern did not match. + Regex: 'unsupported\\ operand\\ type\\ for\\ \\&:\\ Timedelta' + Input: ""unsupported operand type(s) for &: 'Timedelta' and 'TimedeltaArray'""",failed +tests.integ.modin.binary.test_timedelta,test_timedelta_dataframe_bitwise_operation_with_timedelta_scalar[__ror__-|],"AssertionError: Regex pattern did not match. + Regex: 'unsupported\\ operand\\ type\\ for\\ \\|:\\ Timedelta' + Input: ""unsupported operand type(s) for |: 'Timedelta' and 'TimedeltaArray'""",failed +tests.integ.modin.binary.test_timedelta,test_timedelta_dataframe_exponentiation_with_timedelta_scalar[pow],"AssertionError: Regex pattern did not match. + Regex: 'unsupported\\ operand\\ type\\ for\\ \\*\\*:\\ Timedelta' + Input: 'cannot perform __pow__ with this index type: TimedeltaArray'",failed +tests.integ.modin.binary.test_timedelta,test_timedelta_dataframe_exponentiation_with_timedelta_scalar[rpow],"AssertionError: Regex pattern did not match. + Regex: 'unsupported\\ operand\\ type\\ for\\ \\*\\*:\\ Timedelta' + Input: 'cannot perform __rpow__ with this index type: TimedeltaArray'",failed +tests.integ.modin.binary.test_timedelta,test_timedelta_dataframe_plus_timestamp_series[add],numpy._core._exceptions._UFuncBinaryResolutionError: ufunc 'add' cannot use operands with types dtype('float64') and dtype(' does not match with expected type ,failed +tests.integ.modin.binary.test_timedelta,test_timedelta_divide_number_dataframe_by_timedelta_scalar[floordiv],"AssertionError: Regex pattern did not match. + Regex: 'Snowpark\\ pandas\\ does\\ not\\ support\\ dividing\\ numeric\\ values\\ by\\ timedelta\\ values\\ with\\ div\\ \\(/\\),\\ mod\\ \\(%\\),\\ or\\ floordiv\\ \\(//\\)\\.' + Input: 'Invalid dtype int64 for __floordiv__'",failed +tests.integ.modin.binary.test_timedelta,test_timedelta_divide_number_dataframe_by_timedelta_scalar[mod],"AssertionError: Regex pattern did not match. + Regex: 'Snowpark\\ pandas\\ does\\ not\\ support\\ dividing\\ numeric\\ values\\ by\\ timedelta\\ values\\ with\\ div\\ \\(/\\),\\ mod\\ \\(%\\),\\ or\\ floordiv\\ \\(//\\)\\.' + Input: 'Invalid dtype int64 for __floordiv__'",failed +tests.integ.modin.binary.test_timedelta,test_timedelta_divide_number_dataframe_by_timedelta_scalar[truediv],AssertionError: exception type does not match with expected type ,failed +tests.integ.modin.binary.test_timedelta,test_timedelta_less_than_or_greater_than_numeric[ge],"AssertionError: Regex pattern did not match. + Regex: 'Snowpark\\ pandas\\ does\\ not\\ support\\ binary\\ operation\\ ge\\ between\\ timedelta\\ and\\ a\\ non\\-timedelta\\ type' + Input: 'Invalid comparison between dtype=timedelta64[ns] and int'",failed +tests.integ.modin.binary.test_timedelta,test_timedelta_less_than_or_greater_than_numeric[gt],"AssertionError: Regex pattern did not match. + Regex: 'Snowpark\\ pandas\\ does\\ not\\ support\\ binary\\ operation\\ gt\\ between\\ timedelta\\ and\\ a\\ non\\-timedelta\\ type' + Input: 'Invalid comparison between dtype=timedelta64[ns] and int'",failed +tests.integ.modin.binary.test_timedelta,test_timedelta_less_than_or_greater_than_numeric[le],"AssertionError: Regex pattern did not match. + Regex: 'Snowpark\\ pandas\\ does\\ not\\ support\\ binary\\ operation\\ le\\ between\\ timedelta\\ and\\ a\\ non\\-timedelta\\ type' + Input: 'Invalid comparison between dtype=timedelta64[ns] and int'",failed +tests.integ.modin.binary.test_timedelta,test_timedelta_less_than_or_greater_than_numeric[lt],"AssertionError: Regex pattern did not match. + Regex: 'Snowpark\\ pandas\\ does\\ not\\ support\\ binary\\ operation\\ lt\\ between\\ timedelta\\ and\\ a\\ non\\-timedelta\\ type' + Input: 'Invalid comparison between dtype=timedelta64[ns] and int'",failed +tests.integ.modin.binary.test_timedelta,test_timedelta_mod_with_negative_timedelta[-3-2-1--1],"AssertionError: Series are different -Series values are different (16.66667 %) -[index]: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17] -[left]: [False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False] -[right]: [False, , False, , False, False, False, False, False, False, False, False, False, False, False, False, False, ]",failed -4979,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[eq-rhs0-lhs3],"AssertionError: Series are different +Series values are different (100.0 %) +[index]: [0] +[left]: [1] +[right]: [-1]",failed +tests.integ.modin.binary.test_timedelta,test_timedelta_mod_with_negative_timedelta[3--2--1-1],"AssertionError: Series are different -Series values are different (22.22222 %) -[index]: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17] -[left]: [False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False] -[right]: [False, , False, False, False, False, False, False, , , False, False, False, False, False, False, False, ]",failed -4985,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[eq-rhs1-lhs0],"AssertionError: Series are different +Series values are different (100.0 %) +[index]: [0] +[left]: [-1] +[right]: [1]",failed +tests.integ.modin.binary.test_timedelta,test_timedelta_timedelta_null_arithmetic_invalid_in_pandas[div],TypeError: unsupported operand type(s) for /: 'numpy.ndarray' and 'NaTType',failed +tests.integ.modin.binary.test_timedelta,test_timedelta_timedelta_null_arithmetic_invalid_in_pandas[floordiv],TypeError: unsupported operand type(s) for //: 'numpy.ndarray' and 'NaTType',failed +tests.integ.modin.binary.test_timedelta,test_timedelta_timedelta_null_arithmetic_invalid_in_pandas[mod],TypeError: unsupported operand type(s) for //: 'numpy.ndarray' and 'NaTType',failed +tests.integ.modin.binary.test_timedelta,test_timedelta_timedelta_null_arithmetic_invalid_in_pandas[rdiv],TypeError: Cannot divide NaTType by TimedeltaArray,failed +tests.integ.modin.binary.test_timedelta,test_timedelta_timedelta_null_arithmetic_invalid_in_pandas[rfloordiv],TypeError: Cannot divide NaTType by TimedeltaArray,failed +tests.integ.modin.binary.test_timedelta,test_timedelta_timedelta_null_arithmetic_invalid_in_pandas[rmod],TypeError: Cannot divide NaTType by TimedeltaArray,failed +tests.integ.modin.binary.test_timedelta,test_timestamp_dataframe_minus_timedelta_series,numpy._core._exceptions._UFuncBinaryResolutionError: ufunc 'add' cannot use operands with types dtype(',failed +tests.integ.modin.crosstab.test_crosstab,test_basic_crosstab_with_series_objs_no_overlap_error[True],Failed: DID NOT RAISE ,failed +tests.integ.modin.crosstab.test_crosstab,test_basic_crosstab_with_series_objs_some_overlap[False],ValueError: All arrays must be of the same length,failed +tests.integ.modin.crosstab.test_crosstab,test_basic_crosstab_with_series_objs_some_overlap[True],ValueError: All arrays must be of the same length,failed +tests.integ.modin.crosstab.test_crosstab,test_basic_crosstab_with_series_objs_some_overlap_error[False],Failed: DID NOT RAISE ,failed +tests.integ.modin.crosstab.test_crosstab,test_basic_crosstab_with_series_objs_some_overlap_error[True],Failed: DID NOT RAISE ,failed +tests.integ.modin.crosstab.test_crosstab,test_margins[False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_margins[True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_margins_and_values[count-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_margins_and_values[count-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_margins_and_values[max0-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_margins_and_values[max0-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_margins_and_values[max1-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_margins_and_values[max1-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_margins_and_values[max2-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_margins_and_values[max2-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_margins_and_values[mean0-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_margins_and_values[mean0-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_margins_and_values[mean1-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_margins_and_values[mean1-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_margins_and_values[median0-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_margins_and_values[median0-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_margins_and_values[median1-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_margins_and_values[median1-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_margins_and_values[min0-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_margins_and_values[min0-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_margins_and_values[min1-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_margins_and_values[min1-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_margins_and_values[min2-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_margins_and_values[min2-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_margins_and_values[sum0-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_margins_and_values[sum0-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_margins_and_values[sum1-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_margins_and_values[sum1-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_margins_and_values[sum2-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_margins_and_values[sum2-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize[0-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize[0-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize[1-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize[1-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize[True-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize[True-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize[all-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize[all-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize[columns-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize[columns-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize[index-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize[index-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_margins[0-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_margins[0-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_margins[1-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_margins[1-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_margins[True-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_margins[True-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_margins[all-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_margins[all-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_margins[columns-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_margins[columns-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_margins[index-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_margins[index-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[count-0-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[count-0-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[count-1-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[count-1-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[count-True-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[count-True-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[count-all-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[count-all-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[count-columns-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[count-columns-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[count-index-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[count-index-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[max0-0-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[max0-0-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[max0-1-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[max0-1-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[max0-True-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[max0-True-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[max0-all-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[max0-all-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[max0-columns-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[max0-columns-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[max0-index-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[max0-index-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[max1-0-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[max1-0-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[max1-1-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[max1-1-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[max1-True-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[max1-True-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[max1-all-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[max1-all-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[max1-columns-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[max1-columns-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[max1-index-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[max1-index-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[max2-0-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[max2-0-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[max2-1-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[max2-1-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[max2-True-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[max2-True-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[max2-all-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[max2-all-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[max2-columns-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[max2-columns-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[max2-index-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[max2-index-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[mean0-0-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[mean0-0-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[mean0-1-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[mean0-1-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[mean0-True-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[mean0-True-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[mean0-all-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[mean0-all-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[mean0-columns-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[mean0-columns-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[mean0-index-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[mean0-index-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[mean1-0-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[mean1-0-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[mean1-1-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[mean1-1-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[mean1-True-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[mean1-True-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[mean1-all-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[mean1-all-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[mean1-columns-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[mean1-columns-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[mean1-index-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[mean1-index-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[median0-0-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[median0-0-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[median0-1-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[median0-1-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[median0-True-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[median0-True-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[median0-all-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[median0-all-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[median0-columns-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[median0-columns-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[median0-index-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[median0-index-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[median1-0-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[median1-0-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[median1-1-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[median1-1-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[median1-True-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[median1-True-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[median1-all-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[median1-all-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[median1-columns-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[median1-columns-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[median1-index-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[median1-index-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[min0-0-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[min0-0-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[min0-1-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[min0-1-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[min0-True-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[min0-True-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[min0-all-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[min0-all-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[min0-columns-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[min0-columns-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[min0-index-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[min0-index-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[min1-0-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[min1-0-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[min1-1-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[min1-1-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[min1-True-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[min1-True-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[min1-all-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[min1-all-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[min1-columns-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[min1-columns-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[min1-index-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[min1-index-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[min2-0-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[min2-0-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[min2-1-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[min2-1-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[min2-True-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[min2-True-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[min2-all-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[min2-all-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[min2-columns-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[min2-columns-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[min2-index-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[min2-index-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[sum0-0-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[sum0-0-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[sum0-1-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[sum0-1-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[sum0-True-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[sum0-True-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[sum0-all-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[sum0-all-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[sum0-columns-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[sum0-columns-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[sum0-index-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[sum0-index-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[sum1-0-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[sum1-0-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[sum1-1-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[sum1-1-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[sum1-True-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[sum1-True-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[sum1-all-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[sum1-all-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[sum1-columns-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[sum1-columns-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[sum1-index-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[sum1-index-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[sum2-0-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[sum2-0-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[sum2-1-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[sum2-1-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[sum2-True-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[sum2-True-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[sum2-all-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[sum2-all-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[sum2-columns-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[sum2-columns-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[sum2-index-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[sum2-index-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[count-0-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[count-0-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[count-1-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[count-1-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[count-columns-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[count-columns-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[count-index-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[count-index-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[max0-0-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[max0-0-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[max0-1-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[max0-1-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[max0-columns-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[max0-columns-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[max0-index-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[max0-index-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[max1-0-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[max1-0-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[max1-1-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[max1-1-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[max1-columns-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[max1-columns-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[max1-index-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[max1-index-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[max2-0-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[max2-0-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[max2-1-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[max2-1-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[max2-columns-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[max2-columns-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[max2-index-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[max2-index-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[mean0-0-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[mean0-0-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[mean0-1-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[mean0-1-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[mean0-columns-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[mean0-columns-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[mean0-index-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[mean0-index-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[mean1-0-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[mean1-0-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[mean1-1-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[mean1-1-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[mean1-columns-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[mean1-columns-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[mean1-index-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[mean1-index-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[median0-0-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[median0-0-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[median0-1-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[median0-1-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[median0-columns-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[median0-columns-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[median0-index-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[median0-index-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[median1-0-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[median1-0-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[median1-1-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[median1-1-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[median1-columns-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[median1-columns-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[median1-index-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[median1-index-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[min0-0-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[min0-0-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[min0-1-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[min0-1-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[min0-columns-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[min0-columns-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[min0-index-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[min0-index-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[min1-0-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[min1-0-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[min1-1-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[min1-1-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[min1-columns-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[min1-columns-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[min1-index-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[min1-index-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[min2-0-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[min2-0-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[min2-1-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[min2-1-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[min2-columns-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[min2-columns-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[min2-index-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[min2-index-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[sum0-0-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[sum0-0-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[sum0-1-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[sum0-1-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[sum0-columns-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[sum0-columns-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[sum0-index-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[sum0-index-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[sum1-0-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[sum1-0-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[sum1-1-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[sum1-1-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[sum1-columns-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[sum1-columns-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[sum1-index-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[sum1-index-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[sum2-0-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[sum2-0-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[sum2-1-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[sum2-1-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[sum2-columns-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[sum2-columns-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[sum2-index-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_normalize_margins_and_values[sum2-index-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_values[count-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_values[count-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_values[max0-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_values[max0-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_values[max1-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_values[max1-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_values[max2-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_values[max2-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_values[mean0-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_values[mean0-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_values[mean1-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_values[mean1-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_values[median0-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_values[median0-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_values[median1-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_values[median1-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_values[min0-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_values[min0-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_values[min1-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_values[min1-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_values[min2-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_values[min2-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_values[sum0-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_values[sum0-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_values[sum1-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_values[sum1-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_values[sum2-False],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_values[sum2-True],AttributeError: can't set attribute,failed +tests.integ.modin.crosstab.test_crosstab,test_values_series_like[count-False],"AssertionError: DataFrame.index are different -Series values are different (11.11111 %) -[index]: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17] -[left]: [False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False] -[right]: [False, False, False, False, False, False, , False, False, False, False, False, False, False, False, False, False, ]",failed -4986,tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[first--1-1-1],KeyError: 2,failed -4987,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values4-None-item_columns4-3-col_key2-col_key_index2-1-None],ValueError: buffer source array is read-only,failed -4988,tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_between_df_and_scalar_nan_behavior_deviates[10.001-add],"AssertionError: DataFrame.iloc[:, 0] (column name=""0"") are different +Attribute ""names"" are different +[left]: ['row_0'] +[right]: ['species']",failed +tests.integ.modin.crosstab.test_crosstab,test_values_series_like[count-True],"AssertionError: DataFrame.index are different -DataFrame.iloc[:, 0] (column name=""0"") values are different (33.33333 %) -[index]: [0, 1, 2] -[left]: [nan, nan, nan] -[right]: [24.000999999999998, nan, nan] -At positional index 0, first diff: nan != 24.000999999999998",failed -4990,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[min1-1-True],AttributeError: can't set attribute,failed -4991,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[eq-rhs1-lhs1],"AssertionError: Series are different +Attribute ""names"" are different +[left]: ['row_0'] +[right]: ['species']",failed +tests.integ.modin.crosstab.test_crosstab,test_values_series_like[max0-False],"AssertionError: DataFrame.index are different -Series values are different (5.55556 %) -[index]: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17] -[left]: [True, True, True, True, True, True, False, True, True, True, True, True, True, True, True, True, True, True] -[right]: [True, True, True, True, True, True, , True, True, True, True, True, True, True, True, True, True, True]",failed -4992,tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_between_df_and_scalar_nan_behavior_deviates[10.001-radd],"AssertionError: DataFrame.iloc[:, 0] (column name=""0"") are different +Attribute ""names"" are different +[left]: ['row_0'] +[right]: ['species']",failed +tests.integ.modin.crosstab.test_crosstab,test_values_series_like[max0-True],"AssertionError: DataFrame.index are different -DataFrame.iloc[:, 0] (column name=""0"") values are different (33.33333 %) -[index]: [0, 1, 2] -[left]: [nan, nan, nan] -[right]: [24.000999999999998, nan, nan] -At positional index 0, first diff: nan != 24.000999999999998",failed -4993,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[min1-1-False],AttributeError: can't set attribute,failed -4994,tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_between_df_and_scalar_nan_behavior_deviates[10.001-sub],"AssertionError: DataFrame.iloc[:, 0] (column name=""0"") are different +Attribute ""names"" are different +[left]: ['row_0'] +[right]: ['species']",failed +tests.integ.modin.crosstab.test_crosstab,test_values_series_like[max1-False],"AssertionError: DataFrame.index are different -DataFrame.iloc[:, 0] (column name=""0"") values are different (33.33333 %) -[index]: [0, 1, 2] -[left]: [nan, nan, nan] -[right]: [3.9990000000000006, nan, nan] -At positional index 0, first diff: nan != 3.9990000000000006",failed -4996,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[eq-rhs1-lhs2],"AssertionError: Series are different +Attribute ""names"" are different +[left]: ['row_0'] +[right]: ['species']",failed +tests.integ.modin.crosstab.test_crosstab,test_values_series_like[max1-True],"AssertionError: DataFrame.index are different -Series values are different (22.22222 %) -[index]: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17] -[left]: [False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False] -[right]: [False, , False, , False, False, , False, False, False, False, False, False, False, False, False, False, ]",failed -4997,tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[first--1-1-4],KeyError: 2,failed -4998,tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_between_df_and_scalar_nan_behavior_deviates[10.001-rsub],"AssertionError: DataFrame.iloc[:, 0] (column name=""0"") are different +Attribute ""names"" are different +[left]: ['row_0'] +[right]: ['species']",failed +tests.integ.modin.crosstab.test_crosstab,test_values_series_like[max2-False],"AssertionError: DataFrame.index are different -DataFrame.iloc[:, 0] (column name=""0"") values are different (33.33333 %) -[index]: [0, 1, 2] -[left]: [nan, nan, nan] -[right]: [-3.9990000000000006, nan, nan] -At positional index 0, first diff: nan != -3.9990000000000006",failed -5000,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[min1-True-True],AttributeError: can't set attribute,failed -5001,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[eq-rhs1-lhs3],"AssertionError: Series are different +Attribute ""names"" are different +[left]: ['row_0'] +[right]: ['species']",failed +tests.integ.modin.crosstab.test_crosstab,test_values_series_like[max2-True],"AssertionError: DataFrame.index are different -Series values are different (22.22222 %) -[index]: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17] -[left]: [False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False] -[right]: [False, , False, False, False, False, , False, , , False, False, False, False, False, False, False, False]",failed -5003,tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_between_df_and_scalar_nan_behavior_deviates[10.001-mul],"AssertionError: DataFrame.iloc[:, 0] (column name=""0"") are different +Attribute ""names"" are different +[left]: ['row_0'] +[right]: ['species']",failed +tests.integ.modin.crosstab.test_crosstab,test_values_series_like[mean0-False],"AssertionError: DataFrame.index are different -DataFrame.iloc[:, 0] (column name=""0"") values are different (33.33333 %) -[index]: [0, 1, 2] -[left]: [nan, nan, nan] -[right]: [140.01399999999998, nan, nan] -At positional index 0, first diff: nan != 140.01399999999998",failed -5004,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values4-None-item_columns4-3-col_key2-col_key_index2-row_key1-None],"AssertionError: DataFrame.iloc[:, 1] (column name=""('b', 2)"") are different +Attribute ""names"" are different +[left]: ['row_0'] +[right]: ['species']",failed +tests.integ.modin.crosstab.test_crosstab,test_values_series_like[mean0-True],"AssertionError: DataFrame.index are different -DataFrame.iloc[:, 1] (column name=""('b', 2)"") values are different (40.0 %) -[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] -[left]: [nan, 11.0, 101.0, nan, -6.0] -[right]: [-998, 11, 101, -999, -6]",failed -5005,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[eq-rhs2-lhs0],"AssertionError: Series are different +Attribute ""names"" are different +[left]: ['row_0'] +[right]: ['species']",failed +tests.integ.modin.crosstab.test_crosstab,test_values_series_like[mean1-False],"AssertionError: DataFrame.index are different -Series values are different (16.66667 %) -[index]: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17] -[left]: [False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False] -[right]: [False, , False, , False, False, False, False, False, False, False, False, False, False, False, False, False, ]",failed -5006,tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_between_df_and_scalar_nan_behavior_deviates[10.001-rmul],"AssertionError: DataFrame.iloc[:, 0] (column name=""0"") are different +Attribute ""names"" are different +[left]: ['row_0'] +[right]: ['species']",failed +tests.integ.modin.crosstab.test_crosstab,test_values_series_like[mean1-True],"AssertionError: DataFrame.index are different -DataFrame.iloc[:, 0] (column name=""0"") values are different (33.33333 %) -[index]: [0, 1, 2] -[left]: [nan, nan, nan] -[right]: [140.01399999999998, nan, nan] -At positional index 0, first diff: nan != 140.01399999999998",failed -5007,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[min1-True-False],AttributeError: can't set attribute,failed -5009,tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_between_df_and_scalar_nan_behavior_deviates[10.001-truediv],"AssertionError: DataFrame.iloc[:, 0] (column name=""0"") are different +Attribute ""names"" are different +[left]: ['row_0'] +[right]: ['species']",failed +tests.integ.modin.crosstab.test_crosstab,test_values_series_like[median0-False],"AssertionError: DataFrame.index are different -DataFrame.iloc[:, 0] (column name=""0"") values are different (33.33333 %) -[index]: [0, 1, 2] -[left]: [nan, nan, nan] -[right]: [1.3998600139986002, nan, nan] -At positional index 0, first diff: nan != 1.3998600139986002",failed -5010,tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[first--1-1-6],KeyError: 2,failed -5011,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[eq-rhs2-lhs1],"AssertionError: Series are different +Attribute ""names"" are different +[left]: ['row_0'] +[right]: ['species']",failed +tests.integ.modin.crosstab.test_crosstab,test_values_series_like[median0-True],"AssertionError: DataFrame.index are different -Series values are different (22.22222 %) -[index]: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17] -[left]: [False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False] -[right]: [False, , False, , False, False, , False, False, False, False, False, False, False, False, False, False, ]",failed -5012,tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_between_df_and_scalar_nan_behavior_deviates[10.001-rtruediv],"AssertionError: DataFrame.iloc[:, 0] (column name=""0"") are different +Attribute ""names"" are different +[left]: ['row_0'] +[right]: ['species']",failed +tests.integ.modin.crosstab.test_crosstab,test_values_series_like[median1-False],"AssertionError: DataFrame.index are different -DataFrame.iloc[:, 0] (column name=""0"") values are different (33.33333 %) -[index]: [0, 1, 2] -[left]: [nan, nan, nan] -[right]: [0.7143571428571428, nan, nan] -At positional index 0, first diff: nan != 0.7143571428571428",failed -5013,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values4-None-item_columns4-3-col_key2-col_key_index2-row_key2-row_key_index2],"AssertionError: DataFrame.iloc[:, 1] (column name=""('b', 2)"") are different +Attribute ""names"" are different +[left]: ['row_0'] +[right]: ['species']",failed +tests.integ.modin.crosstab.test_crosstab,test_values_series_like[median1-True],"AssertionError: DataFrame.index are different -DataFrame.iloc[:, 1] (column name=""('b', 2)"") values are different (40.0 %) -[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] -[left]: [2.0, nan, nan, 56.0, -6.0] -[right]: [2, -999, -998, 56, -6]",failed -5014,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[min1-all-True],AttributeError: can't set attribute,failed -5015,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[eq-rhs2-lhs2],"AssertionError: Series are different +Attribute ""names"" are different +[left]: ['row_0'] +[right]: ['species']",failed +tests.integ.modin.crosstab.test_crosstab,test_values_series_like[min0-False],"AssertionError: DataFrame.index are different -Series values are different (100.0 %) -[index]: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17] -[left]: [False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False] -[right]: [True, , True, , True, True, True, True, True, True, True, True, True, True, True, True, True, ]",failed -5016,tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_between_df_and_scalar_nan_behavior_deviates[10.001-floordiv],"AssertionError: DataFrame.iloc[:, 0] (column name=""0"") are different +Attribute ""names"" are different +[left]: ['row_0'] +[right]: ['species']",failed +tests.integ.modin.crosstab.test_crosstab,test_values_series_like[min0-True],"AssertionError: DataFrame.index are different -DataFrame.iloc[:, 0] (column name=""0"") values are different (33.33333 %) -[index]: [0, 1, 2] -[left]: [nan, nan, nan] -[right]: [1.0, nan, nan] -At positional index 0, first diff: nan != 1.0",failed -5018,tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_between_df_and_scalar_nan_behavior_deviates[10.001-rfloordiv],"AssertionError: DataFrame.iloc[:, 0] (column name=""0"") are different +Attribute ""names"" are different +[left]: ['row_0'] +[right]: ['species']",failed +tests.integ.modin.crosstab.test_crosstab,test_values_series_like[min1-False],"AssertionError: DataFrame.index are different -DataFrame.iloc[:, 0] (column name=""0"") values are different (33.33333 %) -[index]: [0, 1, 2] -[left]: [nan, nan, nan] -[right]: [0.0, nan, nan] -At positional index 0, first diff: nan != 0.0",failed -5019,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[min1-all-False],AttributeError: can't set attribute,failed -5020,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[eq-rhs2-lhs3],"AssertionError: Series are different +Attribute ""names"" are different +[left]: ['row_0'] +[right]: ['species']",failed +tests.integ.modin.crosstab.test_crosstab,test_values_series_like[min1-True],"AssertionError: DataFrame.index are different -Series values are different (27.77778 %) -[index]: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17] -[left]: [False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False] -[right]: [False, , False, , False, False, False, False, , , False, False, False, False, False, False, False, ]",failed -5022,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values4-None-item_columns4-3-col_key2-col_key_index2-row_key3-row_key_index3],"AssertionError: DataFrame.iloc[:, 1] (column name=""('b', 2)"") are different +Attribute ""names"" are different +[left]: ['row_0'] +[right]: ['species']",failed +tests.integ.modin.crosstab.test_crosstab,test_values_series_like[min2-False],"AssertionError: DataFrame.index are different -DataFrame.iloc[:, 1] (column name=""('b', 2)"") values are different (40.0 %) -[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] -[left]: [2.0, nan, nan, 56.0, -6.0] -[right]: [2, -998, -999, 56, -6]",failed -5024,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[eq-rhs3-lhs0],"AssertionError: Series are different +Attribute ""names"" are different +[left]: ['row_0'] +[right]: ['species']",failed +tests.integ.modin.crosstab.test_crosstab,test_values_series_like[min2-True],"AssertionError: DataFrame.index are different -Series values are different (22.22222 %) -[index]: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17] -[left]: [False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False] -[right]: [False, , False, False, False, False, False, False, , , False, False, False, False, False, False, False, ]",failed -5025,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[min1-index-True],AttributeError: can't set attribute,failed -5026,tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[first--1-4-None],"AssertionError: DataFrame are different +Attribute ""names"" are different +[left]: ['row_0'] +[right]: ['species']",failed +tests.integ.modin.crosstab.test_crosstab,test_values_series_like[sum0-False],"AssertionError: DataFrame.index are different -DataFrame shape mismatch -[left]: (5, 8) -[right]: (1, 8)",failed -5028,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[eq-rhs3-lhs1],"AssertionError: Series are different +Attribute ""names"" are different +[left]: ['row_0'] +[right]: ['species']",failed +tests.integ.modin.crosstab.test_crosstab,test_values_series_like[sum0-True],"AssertionError: DataFrame.index are different -Series values are different (22.22222 %) -[index]: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17] -[left]: [False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False] -[right]: [False, , False, False, False, False, , False, , , False, False, False, False, False, False, False, False]",failed -5030,tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_between_df_and_scalar_nan_behavior_deviates[10.001-mod],"AssertionError: DataFrame.iloc[:, 0] (column name=""0"") are different +Attribute ""names"" are different +[left]: ['row_0'] +[right]: ['species']",failed +tests.integ.modin.crosstab.test_crosstab,test_values_series_like[sum1-False],"AssertionError: DataFrame.index are different -DataFrame.iloc[:, 0] (column name=""0"") values are different (33.33333 %) -[index]: [0, 1, 2] -[left]: [nan, nan, nan] -[right]: [3.9990000000000006, nan, nan] -At positional index 0, first diff: nan != 3.9990000000000006",failed -5031,tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[first--1-4-4],"AssertionError: DataFrame are different +Attribute ""names"" are different +[left]: ['row_0'] +[right]: ['species']",failed +tests.integ.modin.crosstab.test_crosstab,test_values_series_like[sum1-True],"AssertionError: DataFrame.index are different -DataFrame shape mismatch -[left]: (5, 8) -[right]: (1, 8)",failed -5032,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[eq-rhs3-lhs2],"AssertionError: Series are different +Attribute ""names"" are different +[left]: ['row_0'] +[right]: ['species']",failed +tests.integ.modin.crosstab.test_crosstab,test_values_series_like[sum2-False],"AssertionError: DataFrame.index are different -Series values are different (27.77778 %) -[index]: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17] -[left]: [False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False] -[right]: [False, , False, , False, False, False, False, , , False, False, False, False, False, False, False, ]",failed -5035,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values4-None-item_columns4-3-col_key3-col_key_index3-1-None],ValueError: buffer source array is read-only,failed -5036,tests.integ.modin.frame.test_iloc,test_df_iloc_get_row_input_snowpark_pandas_return_dataframe[emptyFloatSeries-2],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -5037,tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_between_df_and_scalar_nan_behavior_deviates[10.001-rmod],"AssertionError: DataFrame.iloc[:, 0] (column name=""0"") are different +Attribute ""names"" are different +[left]: ['row_0'] +[right]: ['species']",failed +tests.integ.modin.crosstab.test_crosstab,test_values_series_like[sum2-True],"AssertionError: DataFrame.index are different -DataFrame.iloc[:, 0] (column name=""0"") values are different (33.33333 %) -[index]: [0, 1, 2] -[left]: [nan, nan, nan] -[right]: [10.001, nan, nan] -At positional index 0, first diff: nan != 10.001",failed -5038,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[eq-rhs3-lhs3],"AssertionError: Series are different +Attribute ""names"" are different +[left]: ['row_0'] +[right]: ['species']",failed +tests.integ.modin.crosstab.test_crosstab,test_values_series_like_unsupported_aggfunc,Failed: DID NOT RAISE ,failed +tests.integ.modin.crosstab.test_crosstab,test_values_unsupported_aggfunc,AttributeError: can't set attribute,failed +tests.integ.modin.extensions.test_dataframe_extensions,test_dataframe_extension_access_existing_methods,AttributeError: DataFrame object has no attribute self_accessor,failed +tests.integ.modin.extensions.test_dataframe_extensions,test_dataframe_extension_non_method,AttributeError: 'DataFrame' object has no attribute 'four',failed +tests.integ.modin.extensions.test_dataframe_extensions,test_dataframe_extension_override_method,"ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().",failed +tests.integ.modin.extensions.test_dataframe_extensions,test_dataframe_extension_simple_method,AttributeError: DataFrame object has no attribute new_method,failed +tests.integ.modin.extensions.test_series_extensions,test_series_extension_access_existing_methods,AttributeError: Series object has no attribute self_accessor,failed +tests.integ.modin.extensions.test_series_extensions,test_series_extension_non_method,AttributeError: 'Series' object has no attribute 'four',failed +tests.integ.modin.extensions.test_series_extensions,test_series_extension_override_method,"assert np.int64(6) == 100 + + where np.int64(6) = () + + where = 0 1\n1 2\n2 3\ndtype: int64.sum",failed +tests.integ.modin.extensions.test_series_extensions,test_series_extension_simple_method,AttributeError: Series object has no attribute new_method,failed +tests.integ.modin.frame.test_aggregate,test_agg_axis_1_missing_label,KeyError: 'Column(s) [2] do not exist',failed +tests.integ.modin.frame.test_aggregate,test_agg_axis_1_simple[size],AssertionError: Got type: ,failed +tests.integ.modin.frame.test_aggregate,test_agg_basic[-11],TypeError: () missing 1 required positional argument: 'aggfunc',failed +tests.integ.modin.frame.test_aggregate,test_agg_basic[-21],TypeError: () missing 1 required positional argument: 'aggfunc',failed +tests.integ.modin.frame.test_aggregate,test_agg_min_count_negative[5.0],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_aggregate,test_agg_min_count_negative[5.3],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_aggregate,test_agg_min_count_negative[TEST],TypeError: '>' not supported between instances of 'str' and 'int',failed +tests.integ.modin.frame.test_aggregate,test_agg_numeric_only_negative[count],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_aggregate,test_agg_numeric_only_negative[max],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_aggregate,test_agg_numeric_only_negative[mean],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_aggregate,test_agg_numeric_only_negative[median],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_aggregate,test_agg_numeric_only_negative[min],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_aggregate,test_agg_numeric_only_negative[std],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_aggregate,test_agg_numeric_only_negative[sum],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_aggregate,test_agg_numeric_only_negative[var],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_aggregate,test_agg_produces_timedelta_and_non_timedelta_type,[XPASS(strict)] requires transposing a one-row frame with integer and timedelta.,failed +tests.integ.modin.frame.test_aggregate,test_agg_quantile_kwargs[q2-None],"[XPASS(strict)] SNOW-1062878: agg(""quantile"") with list-like q fails",failed +tests.integ.modin.frame.test_aggregate,test_agg_quantile_kwargs[q2-linear],"[XPASS(strict)] SNOW-1062878: agg(""quantile"") with list-like q fails",failed +tests.integ.modin.frame.test_aggregate,test_agg_quantile_kwargs[q2-nearest],"[XPASS(strict)] SNOW-1062878: agg(""quantile"") with list-like q fails",failed +tests.integ.modin.frame.test_aggregate,test_agg_requires_concat_with_timedelta[0],"[XPASS(strict)] requires concat(), which we cannot do with Timedelta.",failed +tests.integ.modin.frame.test_aggregate,test_agg_requires_concat_with_timedelta[1],"[XPASS(strict)] requires concat(), which we cannot do with Timedelta.",failed +tests.integ.modin.frame.test_aggregate,test_agg_requires_concat_with_timedelta[2],TypeError: () missing 1 required positional argument: 'aggfunc',failed +tests.integ.modin.frame.test_aggregate,test_agg_requires_concat_with_timedelta[3],"[XPASS(strict)] requires concat(), which we cannot do with Timedelta.",failed +tests.integ.modin.frame.test_aggregate,test_agg_requires_concat_with_timedelta[4],"[XPASS(strict)] requires concat(), which we cannot do with Timedelta.",failed +tests.integ.modin.frame.test_aggregate,test_agg_requires_concat_with_timedelta[5],TypeError: () missing 1 required positional argument: 'aggfunc',failed +tests.integ.modin.frame.test_aggregate,test_agg_requires_concat_with_timedelta[6],"[XPASS(strict)] requires concat(), which we cannot do with Timedelta.",failed +tests.integ.modin.frame.test_aggregate,test_agg_with_all_missing[-2],TypeError: boolean value of NA is ambiguous,failed +tests.integ.modin.frame.test_aggregate,test_agg_with_all_missing_pandas_bug_58810,IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_aggregate,test_agg_with_multiindex_negative[0],[XPASS(strict)] SNOW-1010307: MultiIndex aggregation on axis=1 not supported,failed +tests.integ.modin.frame.test_aggregate,test_agg_with_multiindex_negative[1],[XPASS(strict)] SNOW-1010307: MultiIndex aggregation on axis=1 not supported,failed +tests.integ.modin.frame.test_aggregate,test_agg_with_multiindex_negative[2],[XPASS(strict)] SNOW-1010307: MultiIndex aggregation on axis=1 not supported,failed +tests.integ.modin.frame.test_aggregate,test_agg_with_no_column_raises[pandas_df0],"AssertionError: Regex pattern did not match. + Regex: 'No column to aggregate on' + Input: 'No objects to concatenate'",failed +tests.integ.modin.frame.test_aggregate,test_agg_with_no_column_raises[pandas_df1],"AssertionError: Regex pattern did not match. + Regex: 'No column to aggregate on' + Input: 'No objects to concatenate'",failed +tests.integ.modin.frame.test_aggregate,test_agg_with_single_col[-False0],AssertionError: Got type: ,failed +tests.integ.modin.frame.test_aggregate,test_agg_with_variant,TypeError: '<' not supported between instances of 'NoneType' and 'NoneType',failed +tests.integ.modin.frame.test_aggregate,test_aggregate_unsupported_aggregation_SNOW_1526422[dict],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_aggregate,test_aggregate_unsupported_aggregation_SNOW_1526422[list_with_user_defined_function_and_string],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_aggregate,test_aggregate_unsupported_aggregation_SNOW_1526422[named_agg0],TypeError: () missing 1 required positional argument: 'aggfunc',failed +tests.integ.modin.frame.test_aggregate,test_aggregate_unsupported_aggregation_SNOW_1526422[named_agg1],TypeError: () missing 1 required positional argument: 'aggfunc',failed +tests.integ.modin.frame.test_aggregate,test_aggregate_unsupported_aggregation_SNOW_1526422[named_agg2],TypeError: () missing 1 required positional argument: 'aggfunc',failed +tests.integ.modin.frame.test_aggregate,test_aggregate_unsupported_aggregation_SNOW_1526422[set_with_user_defined_function_and_string],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_aggregate,test_aggregate_unsupported_aggregation_SNOW_1526422[tuple_with_builtins_and_native_pandas_function],ValueError: cannot combine transform and aggregation operations,failed +tests.integ.modin.frame.test_aggregate,test_aggregate_unsupported_aggregation_SNOW_1526422[tuple_with_user_defined_function_and_string],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_aggregate,test_aggregate_unsupported_aggregation_SNOW_1526422[user_defined_function],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_aggregate,test_axis_1,[XPASS(strict)] SNOW-1653126,failed +tests.integ.modin.frame.test_aggregate,test_corr_negative[],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_aggregate,test_corr_negative[kendall],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_aggregate,test_corr_negative[spearman],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_aggregate,test_ddof_fallback_negative[std],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_aggregate,test_ddof_fallback_negative[var],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_aggregate,test_multiple_agg_on_dup_and_single_agg_on_non_dup_columns,"ValueError: Data must be 1-dimensional, got ndarray of shape (3, 2) instead",failed +tests.integ.modin.frame.test_aggregate,test_multiple_agg_on_only_dup_columns,"ValueError: Data must be 1-dimensional, got ndarray of shape (2, 3) instead",failed +tests.integ.modin.frame.test_aggregate,test_named_agg_not_supported_axis_1,"AssertionError: One of the passed functions has an invalid type: : None, only callable or string is acceptable.",failed +tests.integ.modin.frame.test_aggregate,test_named_agg_passed_in_via_star_kwargs,TypeError: () missing 1 required positional argument: 'aggfunc',failed +tests.integ.modin.frame.test_aggregate,test_single_agg_on_dup_and_non_dup_columns[dup_first],"ValueError: Data must be 1-dimensional, got ndarray of shape (2, 2) instead",failed +tests.integ.modin.frame.test_aggregate,test_single_agg_on_dup_and_non_dup_columns[dup_last],"ValueError: Data must be 1-dimensional, got ndarray of shape (2, 2) instead",failed +tests.integ.modin.frame.test_aggregate,test_single_agg_on_dup_column,"ValueError: Data must be 1-dimensional, got ndarray of shape (1, 2) instead",failed +tests.integ.modin.frame.test_aggregate,test_string_sum_with_nulls,"TypeError: can only concatenate str (not ""int"") to str",failed +tests.integ.modin.frame.test_aggregate,test_supported_axis_0[aggregate_max],"AssertionError: Series are different -Series values are different (100.0 %) -[index]: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17] -[left]: [False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False] -[right]: [True, , True, True, True, True, True, True, , , True, True, True, True, True, True, True, True]",failed -5039,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[min1-index-False],AttributeError: can't set attribute,failed -5040,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values4-None-item_columns4-3-col_key3-col_key_index3-row_key1-None],"AssertionError: DataFrame.iloc[:, 1] (column name=""('b', 2)"") are different +Series values are different (25.0 %) +[index]: [A, B, C, D] +[left]: [345600000000000, 360000000000, -9223372036854775808, -9223372036854775808] +[right]: [345600000000000, 360000000000, 5, -9223372036854775808]",failed +tests.integ.modin.frame.test_aggregate,test_supported_axis_0[mean],TypeError: timedelta64[ns] is not a numeric data type,failed +tests.integ.modin.frame.test_aggregate,test_supported_axis_0[median],TypeError: timedelta64[ns] is not a numeric data type,failed +tests.integ.modin.frame.test_aggregate,test_supported_axis_0[std],TypeError: timedelta64[ns] is not a numeric data type,failed +tests.integ.modin.frame.test_aggregate,test_var_invalid,"AssertionError: Regex pattern did not match. + Regex: 'timedelta64\\ type\\ does\\ not\\ support\\ var\\ operations' + Input: 'timedelta64[ns] is not a numeric data type'",failed +tests.integ.modin.frame.test_align,test_align_basic_with_nulls_axis0[inner],AssertionError,failed +tests.integ.modin.frame.test_align,test_align_basic_with_nulls_axis0[left],AssertionError,failed +tests.integ.modin.frame.test_align,test_align_basic_with_nulls_axis0[outer],AssertionError,failed +tests.integ.modin.frame.test_align,test_align_basic_with_nulls_axis0[right],AssertionError,failed +tests.integ.modin.frame.test_align,test_align_frame_copy_negative,Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_align,test_align_frame_deprecated_negative,Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_align,test_align_frame_fill_value_negative,Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_align,test_align_frame_with_series_axis_negative[inner],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_align,test_align_frame_with_series_axis_negative[left],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_align,test_align_frame_with_series_axis_negative[outer],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_align,test_align_frame_with_series_axis_negative[right],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_align,test_level_negative[0-0],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_align,test_level_negative[0-1],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_align,test_level_negative[1-0],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_align,test_level_negative[1-1],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_align,test_level_negative[None-0],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_align,test_level_negative[None-1],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_align,test_multiindex_negative[0],ValueError: cannot join with no overlapping index names,failed +tests.integ.modin.frame.test_align,test_multiindex_negative[1],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_align,test_multiindex_negative[None],ValueError: cannot join with no overlapping index names,failed +tests.integ.modin.frame.test_all_any,test_all_float_not_implemented[False-data0-0],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_all_any,test_all_float_not_implemented[False-data0-1],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_all_any,test_all_float_not_implemented[False-data0-None],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_all_any,test_all_float_not_implemented[False-data1-0],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_all_any,test_all_float_not_implemented[False-data1-1],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_all_any,test_all_float_not_implemented[False-data1-None],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_all_any,test_all_float_not_implemented[True-data0-0],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_all_any,test_all_float_not_implemented[True-data0-1],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_all_any,test_all_float_not_implemented[True-data0-None],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_all_any,test_all_float_not_implemented[True-data1-0],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_all_any,test_all_float_not_implemented[True-data1-1],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_all_any,test_all_float_not_implemented[True-data1-None],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_all_any,test_all_str_not_implemented[data0-0],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_all_any,test_all_str_not_implemented[data0-1],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_all_any,test_all_str_not_implemented[data0-None],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_all_any,test_any_float_not_implemented[False-data0-0],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_all_any,test_any_float_not_implemented[False-data0-1],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_all_any,test_any_float_not_implemented[False-data0-None],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_all_any,test_any_float_not_implemented[False-data1-0],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_all_any,test_any_float_not_implemented[False-data1-1],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_all_any,test_any_float_not_implemented[False-data1-None],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_all_any,test_any_float_not_implemented[True-data0-0],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_all_any,test_any_float_not_implemented[True-data0-1],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_all_any,test_any_float_not_implemented[True-data0-None],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_all_any,test_any_float_not_implemented[True-data1-0],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_all_any,test_any_float_not_implemented[True-data1-1],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_all_any,test_any_float_not_implemented[True-data1-None],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_all_any,test_any_str_not_implemented[data0-0],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_all_any,test_any_str_not_implemented[data0-1],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_all_any,test_any_str_not_implemented[data0-None],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_apply,test_apply_axis1_with_3rd_party_libraries_and_decorator[packages0-7],"TypeError: The input of UDF ""TESTDB_SNOWPANDAS"".""PUBLIC"".SNOWPARK_TEMP_FUNCTION_PY144ODYKI must be Column, column name, or a list of them",failed +tests.integ.modin.frame.test_apply,test_apply_axis1_with_dynamic_pivot_and_with_3rd_party_libraries_and_decorator[packages0-7],TODO: SNOW-1261830 need to support PandasSeriesType annotation.,xfailed +tests.integ.modin.frame.test_apply,test_apply_axis1_with_dynamic_pivot_and_with_3rd_party_libraries_and_decorator[packages1-9],TODO: SNOW-1261830 need to support PandasSeriesType annotation.,xfailed +tests.integ.modin.frame.test_apply,test_apply_axis_1_frame_with_column_of_all_nulls_snow_1233832[None],[XPASS(strict)] SNOW-1233832,failed +tests.integ.modin.frame.test_apply,test_apply_axis_1_with_if_where_duplicates_not_executed[data0-1],TypeError: foo() got an unexpected keyword argument 'snowpark_pandas_partition_size',failed +tests.integ.modin.frame.test_apply,test_apply_axis_1_with_if_where_duplicates_not_executed[data0-2],TypeError: foo() got an unexpected keyword argument 'snowpark_pandas_partition_size',failed +tests.integ.modin.frame.test_apply,test_apply_axis_1_with_if_where_duplicates_not_executed[data1-1],TypeError: foo() got an unexpected keyword argument 'snowpark_pandas_partition_size',failed +tests.integ.modin.frame.test_apply,test_apply_axis_1_with_if_where_duplicates_not_executed[data1-2],TypeError: foo() got an unexpected keyword argument 'snowpark_pandas_partition_size',failed +tests.integ.modin.frame.test_apply,test_apply_bug_1650918[data0-],[XPASS(strict)] SNOW-1650918: Apply on dataframe data columns containing NULL fails with invalid arguments to udtf function,failed +tests.integ.modin.frame.test_apply,test_apply_bug_1650918[data1-],[XPASS(strict)] SNOW-1650918: Apply on dataframe data columns containing NULL fails with invalid arguments to udtf function,failed +tests.integ.modin.frame.test_apply,test_apply_variant_json_null,"assert [True, True, True, False] == [False, True, True, False] + At index 0 diff: True != False + Full diff: + - [False, True, True, False] + + [True, True, True, False]",failed +tests.integ.modin.frame.test_apply,test_axis_1_apply_args_kwargs,AssertionError: exception type does not match with expected type ,failed +tests.integ.modin.frame.test_apply,test_axis_1_apply_args_kwargs_with_snowpandas_object,Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_apply,test_axis_1_basic_types_with_type_hints[apply_on_frame_with_timedelta_data_columns_returns_int],[XPASS(strict)] ,failed +tests.integ.modin.frame.test_apply,test_axis_1_basic_types_with_type_hints[return_timedelta_scalar],[XPASS(strict)] SNOW-1619940,failed +tests.integ.modin.frame.test_apply,test_axis_1_basic_types_without_type_hints[apply_on_frame_with_timedelta_data_columns_returns_int],[XPASS(strict)] ,failed +tests.integ.modin.frame.test_apply,test_axis_1_basic_types_without_type_hints[return_timedelta_scalar],[XPASS(strict)] SNOW-1619940,failed +tests.integ.modin.frame.test_apply,test_axis_1_date_time_timestamp_type[data0--expected_result0],AttributeError: Can only use .dt accessor with datetimelike values,failed +tests.integ.modin.frame.test_apply,test_axis_1_date_time_timestamp_type[data1--expected_result1],"AssertionError: DataFrame.iloc[:, 1] (column name=""1"") are different -DataFrame.iloc[:, 1] (column name=""('b', 2)"") values are different (40.0 %) -[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] -[left]: [nan, 11.0, 101.0, nan, -6.0] -[right]: [-996, 11, 101, -997, -6]",failed -5041,tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_between_df_and_scalar_nan_behavior_deviates[10.001-pow],"AssertionError: DataFrame.iloc[:, 0] (column name=""0"") are different +DataFrame.iloc[:, 1] (column name=""1"") values are different (50.0 %) +[index]: [0, 1] +[left]: [None, 2021-01-09] +[right]: [NaT, 2021-01-09] +At positional index 0, first diff: None != NaT",failed +tests.integ.modin.frame.test_apply,test_axis_1_date_time_timestamp_type[data2--expected_result2],AttributeError: Can only use .dt accessor with datetimelike values,failed +tests.integ.modin.frame.test_apply,test_axis_1_date_time_timestamp_type[data3--expected_result3],"AssertionError: DataFrame.iloc[:, 0] (column name=""0"") are different -DataFrame.iloc[:, 0] (column name=""0"") values are different (33.33333 %) -[index]: [0, 1, 2] -[left]: [nan, nan, nan] -[right]: [290019022754.90625, nan, nan] -At positional index 0, first diff: nan != 290019022754.90625",failed -5043,tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_between_df_and_scalar_nan_behavior_deviates[10.001-rpow],"AssertionError: DataFrame.iloc[:, 0] (column name=""0"") are different +DataFrame.iloc[:, 0] (column name=""0"") values are different (100.0 %) +[index]: [0, 1] +[left]: [01:02:03, 01:02:03.000001] +[right]: [0 days 01:02:03, 0 days 01:02:03.000001] +At positional index 0, first diff: 01:02:03 != 0 days 01:02:03",failed +tests.integ.modin.frame.test_apply,test_axis_1_date_time_timestamp_type[data4--expected_result4],"AssertionError: Series are different -DataFrame.iloc[:, 0] (column name=""0"") values are different (33.33333 %) -[index]: [0, 1, 2] -[left]: [nan, nan, nan] -[right]: [100140091036409.94, nan, nan] -At positional index 0, first diff: nan != 100140091036409.94",failed -5045,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[min1-columns-True],AttributeError: can't set attribute,failed -5046,tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[first--1-6-None],KeyError: 7,failed -5049,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values4-None-item_columns4-3-col_key3-col_key_index3-row_key2-row_key_index2],"AssertionError: DataFrame.iloc[:, 1] (column name=""('b', 2)"") are different +Series values are different (100.0 %) +[index]: [0, 1] +[left]: [UTC, UTC] +[right]: [UTC, UTC] +At positional index 0, first diff: UTC != UTC",failed +tests.integ.modin.frame.test_apply,test_axis_1_date_time_timestamp_type[data5--expected_result5],"AssertionError: DataFrame.iloc[:, 1] (column name=""1"") are different -DataFrame.iloc[:, 1] (column name=""('b', 2)"") values are different (40.0 %) -[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] -[left]: [2.0, nan, nan, 56.0, -6.0] -[right]: [2, -997, -996, 56, -6]",failed -5053,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[min1-columns-False],AttributeError: can't set attribute,failed -5055,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[ne-rhs0-lhs0],"AssertionError: Series are different +DataFrame.iloc[:, 1] (column name=""1"") values are different (50.0 %) +[index]: [0, 1] +[left]: [NaT, 2023-01-01 01:02:03+00:00] +[right]: [None, 2023-01-01 01:02:03+00:00] +At positional index 0, first diff: NaT != None",failed +tests.integ.modin.frame.test_apply,test_axis_1_multi_index_column_labels_different_levels_negative,AssertionError: exception type does not match with expected type ,failed +tests.integ.modin.frame.test_apply,test_axis_1_return_not_json_serializable_label,Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_apply,test_basic_dataframe_transform[data2-exp-None],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_apply,test_basic_dataframe_transform[data5-sqrt-None],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_apply,test_basic_dataframe_transform[data7-log-None],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_apply,test_basic_dataframe_transform[data9-square-None],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_apply,test_dataframe_transform_invalid_function_name_negative,AttributeError: 'mxyzptlk' is not a valid function for 'DataFrame' object,failed +tests.integ.modin.frame.test_apply,test_dataframe_transform_invalid_types_negative[1],"AssertionError: Regex pattern did not match. + Regex: 'object is not callable' + Input: ""One of the passed functions has an invalid type: : 1, only callable or string is acceptable.""",failed +tests.integ.modin.frame.test_apply,test_dataframe_transform_invalid_types_negative[2.5],"AssertionError: Regex pattern did not match. + Regex: 'object is not callable' + Input: ""One of the passed functions has an invalid type: : 2.5, only callable or string is acceptable.""",failed +tests.integ.modin.frame.test_apply,test_dataframe_transform_invalid_types_negative[True],"AssertionError: Regex pattern did not match. + Regex: 'object is not callable' + Input: ""One of the passed functions has an invalid type: : True, only callable or string is acceptable.""",failed +tests.integ.modin.frame.test_apply,test_frame_with_timedelta_index,[XPASS(strict)] ,failed +tests.integ.modin.frame.test_apply,test_numpy_integers_in_return_values_snow_1227264[return_value1],"[XPASS(strict)] SNOW-1229760: un-json-serializable np.int64 is nested inside the non-series return value, so we don't find the np.int64 or convert it to int",failed +tests.integ.modin.frame.test_apply,test_result_type[broadcast],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_apply,test_result_type[expand],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_apply,test_result_type[reduce],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_apply,test_udfs_and_udtfs_with_snowpark_object_error_msg,Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_apply,test_with_duplicates_negative,ValueError: cannot reindex on an axis with duplicate labels,failed +tests.integ.modin.frame.test_apply_axis_0,test_apply_axis_0_bug_1650918[data0-],[XPASS(strict)] SNOW-1650918: Apply on dataframe data columns containing NULL fails with invalid arguments to udtf function,failed +tests.integ.modin.frame.test_apply_axis_0,test_apply_axis_0_bug_1650918[data1-],[XPASS(strict)] SNOW-1650918: Apply on dataframe data columns containing NULL fails with invalid arguments to udtf function,failed +tests.integ.modin.frame.test_apply_axis_0,test_apply_nested_series_negative,Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_apply_axis_0,test_axis_0_apply_args_kwargs,AssertionError: exception type does not match with expected type ,failed +tests.integ.modin.frame.test_apply_axis_0,test_axis_0_basic_types_with_type_hints[apply_on_frame_with_timedelta_data_columns_returns_int],[XPASS(strict)] ,failed +tests.integ.modin.frame.test_apply_axis_0,test_axis_0_basic_types_with_type_hints[return_timedelta_scalar],[XPASS(strict)] SNOW-1619940,failed +tests.integ.modin.frame.test_apply_axis_0,test_axis_0_basic_types_without_type_hints[apply_on_frame_with_timedelta_data_columns_returns_int],[XPASS(strict)] ,failed +tests.integ.modin.frame.test_apply_axis_0,test_axis_0_basic_types_without_type_hints[return_timedelta_scalar],[XPASS(strict)] SNOW-1619940,failed +tests.integ.modin.frame.test_apply_axis_0,test_axis_0_date_time_timestamp_type[data0--expected_result0],AttributeError: Can only use .dt accessor with datetimelike values,failed +tests.integ.modin.frame.test_apply_axis_0,test_axis_0_date_time_timestamp_type[data1--expected_result1],AttributeError: Can only use .dt accessor with datetimelike values,failed +tests.integ.modin.frame.test_apply_axis_0,test_axis_0_return_dataframe_not_supported,"ValueError: If using all scalar values, you must pass an index",failed +tests.integ.modin.frame.test_apply_axis_0,test_axis_1_apply_args_kwargs_with_snowpandas_object,Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_apply_axis_0,test_frame_with_timedelta_index,[XPASS(strict)] ,failed +tests.integ.modin.frame.test_apply_axis_0,test_result_type[broadcast],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_apply_axis_0,test_result_type[expand],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_apply_axis_0,test_result_type[reduce],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_applymap,test_applymap_basic_with_type_hints[applymap-apply_on_frame_with_timedelta_data_columns_returns_int],[XPASS(strict)] ,failed +tests.integ.modin.frame.test_applymap,test_applymap_basic_with_type_hints[applymap-return_timedelta_scalar],[XPASS(strict)] SNOW-1619940,failed +tests.integ.modin.frame.test_applymap,test_applymap_basic_with_type_hints[map-apply_on_frame_with_timedelta_data_columns_returns_int],[XPASS(strict)] ,failed +tests.integ.modin.frame.test_applymap,test_applymap_basic_with_type_hints[map-return_timedelta_scalar],[XPASS(strict)] SNOW-1619940,failed +tests.integ.modin.frame.test_applymap,test_applymap_basic_without_type_hints[applymap-apply_on_frame_with_timedelta_data_columns_returns_int],[XPASS(strict)] ,failed +tests.integ.modin.frame.test_applymap,test_applymap_basic_without_type_hints[applymap-return_timedelta_scalar],[XPASS(strict)] SNOW-1619940,failed +tests.integ.modin.frame.test_applymap,test_applymap_basic_without_type_hints[map-apply_on_frame_with_timedelta_data_columns_returns_int],[XPASS(strict)] ,failed +tests.integ.modin.frame.test_applymap,test_applymap_basic_without_type_hints[map-return_timedelta_scalar],[XPASS(strict)] SNOW-1619940,failed +tests.integ.modin.frame.test_applymap,test_applymap_date_time_timestamp[data0-str-str-expected_result0],"AssertionError: DataFrame.iloc[:, 0] (column name=""0"") are different -Series values are different (5.55556 %) -[index]: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17] -[left]: [False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, True] -[right]: [False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, ]",failed -5059,tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[first--1-6-1],KeyError: 7,failed -5060,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[amin-0-True],AttributeError: can't set attribute,failed -5061,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values4-None-item_columns4-3-col_key3-col_key_index3-row_key3-row_key_index3],"AssertionError: DataFrame.iloc[:, 1] (column name=""('b', 2)"") are different +DataFrame.iloc[:, 0] (column name=""0"") values are different (100.0 %) +[index]: [0, 1] +[left]: [2023-01-01, None] +[right]: [2023-01-01 00:00:00, NaT] +At positional index 0, first diff: 2023-01-01 != 2023-01-01 00:00:00",failed +tests.integ.modin.frame.test_applymap,test_applymap_date_time_timestamp[data1-type-str-expected_result1],"AssertionError: DataFrame.iloc[:, 0] (column name=""0"") are different -DataFrame.iloc[:, 1] (column name=""('b', 2)"") values are different (40.0 %) -[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] -[left]: [2.0, nan, nan, 56.0, -6.0] -[right]: [2, -996, -997, 56, -6]",failed -5062,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[ne-rhs0-lhs1],"AssertionError: Series are different +DataFrame.iloc[:, 0] (column name=""0"") values are different (100.0 %) +[index]: [0, 1] +[left]: [, ] +[right]: [, ] +At positional index 0, first diff: != ",failed +tests.integ.modin.frame.test_applymap,test_applymap_date_time_timestamp[data2-str-str-expected_result2],"AssertionError: DataFrame.iloc[:, 0] (column name=""0"") are different -Series values are different (11.11111 %) -[index]: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17] -[left]: [True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True] -[right]: [True, True, True, True, True, True, , True, True, True, True, True, True, True, True, True, True, ]",failed -5067,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[ne-rhs0-lhs2],"AssertionError: Series are different +DataFrame.iloc[:, 0] (column name=""0"") values are different (100.0 %) +[index]: [0, 1] +[left]: [01:02:03, None] +[right]: [0 days 01:02:03, NaT] +At positional index 0, first diff: 01:02:03 != 0 days 01:02:03",failed +tests.integ.modin.frame.test_applymap,test_applymap_date_time_timestamp[data3-type-str-expected_result3],"AssertionError: DataFrame.iloc[:, 0] (column name=""0"") are different -Series values are different (16.66667 %) -[index]: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17] -[left]: [True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True] -[right]: [True, , True, , True, True, True, True, True, True, True, True, True, True, True, True, True, ]",failed -5068,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[amin-0-False],AttributeError: can't set attribute,failed -5071,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[ne-rhs0-lhs3],"AssertionError: Series are different +DataFrame.iloc[:, 0] (column name=""0"") values are different (100.0 %) +[index]: [0, 1] +[left]: [, ] +[right]: [, ] +At positional index 0, first diff: != ",failed +tests.integ.modin.frame.test_applymap,test_applymap_date_time_timestamp[data5-type-str-expected_result5],"AssertionError: DataFrame.iloc[:, 0] (column name=""0"") are different -Series values are different (22.22222 %) -[index]: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17] -[left]: [True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True] -[right]: [True, , True, True, True, True, True, True, , , True, True, True, True, True, True, True, ]",failed -5073,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[amin-1-True],AttributeError: can't set attribute,failed -5074,tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[first--1-6-4],KeyError: 7,failed -5078,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[ne-rhs1-lhs0],"AssertionError: Series are different +DataFrame.iloc[:, 0] (column name=""0"") values are different (100.0 %) +[index]: [0, 1] +[left]: [, ] +[right]: [, ] +At positional index 0, first diff: != ",failed +tests.integ.modin.frame.test_applymap,test_applymap_date_time_timestamp[data6-str-str-expected_result6],"AssertionError: DataFrame.iloc[:, 0] (column name=""0"") are different -Series values are different (11.11111 %) -[index]: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17] -[left]: [True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True] -[right]: [True, True, True, True, True, True, , True, True, True, True, True, True, True, True, True, True, ]",failed -5083,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[ne-rhs1-lhs1],"AssertionError: Series are different +DataFrame.iloc[:, 0] (column name=""0"") values are different (33.33333 %) +[index]: [0, 1, 2] +[left]: [2023-01-01 01:02:03+00:00, 2023-01-01 01:02:03, None] +[right]: [2023-01-01 01:02:03+00:00, 2023-01-01 01:02:03-08:00, None] +At positional index 1, first diff: 2023-01-01 01:02:03 != 2023-01-01 01:02:03-08:00",failed +tests.integ.modin.frame.test_applymap,test_applymap_date_time_timestamp[data7-type-str-expected_result7],"AssertionError: DataFrame.iloc[:, 0] (column name=""0"") are different -Series values are different (5.55556 %) -[index]: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17] -[left]: [False, False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False] -[right]: [False, False, False, False, False, False, , False, False, False, False, False, False, False, False, False, False, False]",failed -5087,tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[first--1-6-6],KeyError: 7,failed -5088,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[ne-rhs1-lhs2],"AssertionError: Series are different +DataFrame.iloc[:, 0] (column name=""0"") values are different (100.0 %) +[index]: [0, 1] +[left]: [, ] +[right]: [, ] +At positional index 0, first diff: != ",failed +tests.integ.modin.frame.test_applymap,test_applymap_na_action_ignore[applymap],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_applymap,test_applymap_na_action_ignore[map],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_applymap,test_frame_with_timedelta_index,[XPASS(strict)] ,failed +tests.integ.modin.frame.test_assign,test_assign_basic_callable[add_two_cols_fn],"AssertionError: DataFrame.index are different -Series values are different (22.22222 %) -[index]: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17] -[left]: [True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True] -[right]: [True, , True, , True, True, , True, True, True, True, True, True, True, True, True, True, ]",failed -5093,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[amin-1-False],AttributeError: can't set attribute,failed -5097,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[ne-rhs1-lhs3],"AssertionError: Series are different +Attribute ""names"" are different +[left]: [None] +[right]: ['index']",failed +tests.integ.modin.frame.test_assign,test_assign_basic_callable[identity_fn],"AssertionError: DataFrame.index are different -Series values are different (22.22222 %) -[index]: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17] -[left]: [True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True] -[right]: [True, , True, True, True, True, , True, , , True, True, True, True, True, True, True, True]",failed -5105,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[ne-rhs2-lhs0],"AssertionError: Series are different +Attribute ""names"" are different +[left]: [None] +[right]: ['index']",failed +tests.integ.modin.frame.test_assign,test_assign_basic_non_pandas_object[2],"AssertionError: DataFrame.index are different -Series values are different (16.66667 %) -[index]: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17] -[left]: [True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True] -[right]: [True, , True, , True, True, True, True, True, True, True, True, True, True, True, True, True, ]",failed -5106,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[amin-True-True],AttributeError: can't set attribute,failed -5109,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[ne-rhs2-lhs1],"AssertionError: Series are different +Attribute ""names"" are different +[left]: [None] +[right]: ['index']",failed +tests.integ.modin.frame.test_assign,test_assign_basic_non_pandas_object[new_col_value1],"AssertionError: DataFrame.index are different -Series values are different (22.22222 %) -[index]: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17] -[left]: [True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True] -[right]: [True, , True, , True, True, , True, True, True, True, True, True, True, True, True, True, ]",failed -5113,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[amin-True-False],AttributeError: can't set attribute,failed -5115,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[ne-rhs2-lhs2],"AssertionError: Series are different +Attribute ""names"" are different +[left]: [None] +[right]: ['index']",failed +tests.integ.modin.frame.test_assign,test_assign_basic_non_pandas_object[x],"AssertionError: DataFrame.index are different -Series values are different (100.0 %) -[index]: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17] -[left]: [True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True] -[right]: [False, , False, , False, False, False, False, False, False, False, False, False, False, False, False, False, ]",failed -5117,tests.integ.modin.frame.test_iloc,test_df_iloc_get_col_input_snowpark_pandas_return_dataframe[Index-2],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -5120,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[amin-all-True],AttributeError: can't set attribute,failed -5122,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[ne-rhs2-lhs3],"AssertionError: Series are different +Attribute ""names"" are different +[left]: [None] +[right]: ['index']",failed +tests.integ.modin.frame.test_assign,test_assign_basic_series,"AssertionError: DataFrame.index are different -Series values are different (27.77778 %) -[index]: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17] -[left]: [True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True] -[right]: [True, , True, , True, True, True, True, , , True, True, True, True, True, True, True, ]",failed -5125,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[amin-all-False],AttributeError: can't set attribute,failed -5128,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[ne-rhs3-lhs0],"AssertionError: Series are different +Attribute ""names"" are different +[left]: [None] +[right]: ['index']",failed +tests.integ.modin.frame.test_assign,test_assign_basic_series_mismatched_index[different_index],"AssertionError: DataFrame.index are different -Series values are different (22.22222 %) -[index]: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17] -[left]: [True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True] -[right]: [True, , True, True, True, True, True, True, , , True, True, True, True, True, True, True, ]",failed -5130,tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[first--2-1-None],KeyError: 3,failed -5132,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[amin-index-True],AttributeError: can't set attribute,failed -5133,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[ne-rhs3-lhs1],"AssertionError: Series are different +Attribute ""names"" are different +[left]: [None] +[right]: ['index']",failed +tests.integ.modin.frame.test_assign,test_assign_basic_series_mismatched_index[reversed_index],"AssertionError: DataFrame.index are different -Series values are different (22.22222 %) -[index]: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17] -[left]: [True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True] -[right]: [True, , True, True, True, True, , True, , , True, True, True, True, True, True, True, True]",failed -5139,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[amin-index-False],AttributeError: can't set attribute,failed -5142,tests.integ.modin.frame.test_iloc,test_df_iloc_get_multiindex_key_negative,"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -5143,tests.integ.modin.frame.test_apply,test_apply_axis1_with_3rd_party_libraries_and_decorator[packages0-7],"TypeError: The input of UDF ""TESTDB_SNOWPANDAS"".""PUBLIC"".SNOWPARK_TEMP_FUNCTION_TVJR42YQJ6 must be Column, column name, or a list of them",failed -5145,tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[first--2-1-1],KeyError: 3,failed -5156,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[ne-rhs3-lhs2],"AssertionError: Series are different +Attribute ""names"" are different +[left]: [None] +[right]: ['index']",failed +tests.integ.modin.frame.test_assign,test_assign_basic_timedelta_series,"AssertionError: DataFrame.index are different -Series values are different (27.77778 %) -[index]: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17] -[left]: [True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True] -[right]: [True, , True, , True, True, True, True, , , True, True, True, True, True, True, True, ]",failed -5162,tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[first--2-1-4],KeyError: 3,failed -5163,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[ne-rhs3-lhs3],"AssertionError: Series are different +Attribute ""names"" are different +[left]: [None] +[right]: ['index']",failed +tests.integ.modin.frame.test_assign,test_assign_chained_callable,"AssertionError: DataFrame.index are different -Series values are different (100.0 %) -[index]: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17] -[left]: [True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True] -[right]: [False, , False, False, False, False, False, False, , , False, False, False, False, False, False, False, False]",failed -5167,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[amin-columns-True],AttributeError: can't set attribute,failed -5171,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[gt-rhs0-lhs0],"AssertionError: Series are different +Attribute ""names"" are different +[left]: [None] +[right]: ['index']",failed +tests.integ.modin.frame.test_assign,test_assign_invalid_long_column_length_negative,ValueError: Length of values (5) does not match length of index (3),failed +tests.integ.modin.frame.test_assign,test_assign_invalid_short_column_length_negative,ValueError: Length of values (2) does not match length of index (3),failed +tests.integ.modin.frame.test_assign,test_assign_self_columns,"AssertionError: DataFrame.index are different -Series values are different (5.55556 %) -[index]: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17] -[left]: [False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False] -[right]: [False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, ]",failed -5175,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[amin-columns-False],AttributeError: can't set attribute,failed -5178,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[gt-rhs0-lhs1],"AssertionError: Series are different +Attribute ""names"" are different +[left]: [None] +[right]: ['index']",failed +tests.integ.modin.frame.test_assign,test_assign_short_series,"AssertionError: DataFrame.index are different -Series values are different (11.11111 %) -[index]: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17] -[left]: [True, True, True, True, False, True, False, False, False, False, True, True, True, False, True, True, True, False] -[right]: [True, True, True, True, False, True, , False, False, False, True, True, True, False, True, True, True, ]",failed -5180,tests.integ.modin.frame.test_iloc,test_df_iloc_get_col_input_snowpark_pandas_return_dataframe[Series-2],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -5181,tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[first--2-1-6],KeyError: 3,failed -5186,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[max0-0-True],AttributeError: can't set attribute,failed -5189,tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[first--2-4-None],"AssertionError: DataFrame are different +Attribute ""names"" are different +[left]: [None] +[right]: ['index']",failed +tests.integ.modin.frame.test_assign,test_assign_short_series_mismatched_index[different_index],"AssertionError: DataFrame.index are different -DataFrame shape mismatch -[left]: (4, 8) -[right]: (1, 8)",failed -5194,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[gt-rhs0-lhs2],TypeError: boolean value of NA is ambiguous,failed -5196,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[max0-0-False],AttributeError: can't set attribute,failed -5205,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[max0-1-True],AttributeError: can't set attribute,failed -5211,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[gt-rhs0-lhs3],TypeError: '>' not supported between instances of 'NoneType' and 'float',failed -5215,tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[first--2-4-1],"AssertionError: DataFrame are different +Attribute ""names"" are different +[left]: [None] +[right]: ['index']",failed +tests.integ.modin.frame.test_assign,test_assign_short_series_mismatched_index[reversed_index],"AssertionError: DataFrame.index are different -DataFrame shape mismatch -[left]: (1, 8) -[right]: (0, 8)",failed -5216,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[max0-1-False],AttributeError: can't set attribute,failed -5220,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[gt-rhs1-lhs0],"AssertionError: Series are different +Attribute ""names"" are different +[left]: [None] +[right]: ['index']",failed +tests.integ.modin.frame.test_assign,test_overwrite_columns_via_assign,"AssertionError: DataFrame.index are different -Series values are different (11.11111 %) -[index]: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17] -[left]: [False, False, False, False, True, False, False, True, True, True, False, False, False, True, False, False, False, False] -[right]: [False, False, False, False, True, False, , True, True, True, False, False, False, True, False, False, False, ]",failed -5223,tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[first--2-4-4],"AssertionError: DataFrame are different +Attribute ""names"" are different +[left]: [None] +[right]: ['index']",failed +tests.integ.modin.frame.test_astype,test_astype_from_timestamp_ltz[boolean],TypeError: Need to pass bool-like values,failed +tests.integ.modin.frame.test_astype,test_astype_from_timestamp_ltz[datetime64[ns]],TypeError: Cannot use .astype to convert from timezone-aware dtype to timezone-naive dtype. Use obj.tz_localize(None) or obj.tz_convert('UTC').tz_localize(None) instead.,failed +tests.integ.modin.frame.test_astype,test_astype_from_timestamp_ltz[float160],"AssertionError: Regex pattern did not match. + Regex: 'cannot be converted' + Input: 'Cannot cast DatetimeArray to dtype float16'",failed +tests.integ.modin.frame.test_astype,test_astype_from_timestamp_ltz[float161],"AssertionError: Regex pattern did not match. + Regex: 'cannot be converted' + Input: 'Cannot cast DatetimeArray to dtype float16'",failed +tests.integ.modin.frame.test_astype,test_astype_from_timestamp_ltz[float32],"AssertionError: Regex pattern did not match. + Regex: 'cannot be converted' + Input: 'Cannot cast DatetimeArray to dtype float32'",failed +tests.integ.modin.frame.test_astype,test_astype_from_timestamp_ltz[float64],"AssertionError: Regex pattern did not match. + Regex: 'cannot be converted' + Input: 'Cannot cast DatetimeArray to dtype float64'",failed +tests.integ.modin.frame.test_astype,test_astype_from_timestamp_ltz[float],"AssertionError: Regex pattern did not match. + Regex: 'cannot be converted' + Input: 'Cannot cast DatetimeArray to dtype float64'",failed +tests.integ.modin.frame.test_astype,test_astype_from_timestamp_ltz[int16],"TypeError: Converting from datetime64[ns, America/Los_Angeles] to int16 is not supported. Do obj.astype('int64').astype(dtype) instead",failed +tests.integ.modin.frame.test_astype,test_astype_from_timestamp_ltz[int32],"TypeError: Converting from datetime64[ns, America/Los_Angeles] to int32 is not supported. Do obj.astype('int64').astype(dtype) instead",failed +tests.integ.modin.frame.test_astype,test_astype_from_timestamp_ltz[int8],"TypeError: Converting from datetime64[ns, America/Los_Angeles] to int8 is not supported. Do obj.astype('int64').astype(dtype) instead",failed +tests.integ.modin.frame.test_astype,test_astype_from_timestamp_ltz[to_dtype15],"AssertionError: Regex pattern did not match. + Regex: 'cannot be converted' + Input: ""float() argument must be a string or a number, not 'Timestamp'""",failed +tests.integ.modin.frame.test_astype,test_astype_from_timestamp_ltz[to_dtype16],"AssertionError: Regex pattern did not match. + Regex: 'cannot be converted' + Input: ""float() argument must be a string or a number, not 'Timestamp'""",failed +tests.integ.modin.frame.test_astype,test_astype_from_timestamp_ltz[to_dtype17],"TypeError: int() argument must be a string, a bytes-like object or a number, not 'Timestamp'",failed +tests.integ.modin.frame.test_astype,test_astype_from_timestamp_ltz[to_dtype18],"TypeError: int() argument must be a string, a bytes-like object or a number, not 'Timestamp'",failed +tests.integ.modin.frame.test_astype,test_astype_from_timestamp_ltz[to_dtype19],"TypeError: int() argument must be a string, a bytes-like object or a number, not 'Timestamp'",failed +tests.integ.modin.frame.test_astype,test_astype_from_timestamp_ltz[to_dtype20],"TypeError: int() argument must be a string, a bytes-like object or a number, not 'Timestamp'",failed +tests.integ.modin.frame.test_astype,test_astype_from_timestamp_ltz[to_dtype21],"TypeError: int() argument must be a string, a bytes-like object or a number, not 'Timestamp'",failed +tests.integ.modin.frame.test_astype,test_astype_from_timestamp_ltz[to_dtype22],"TypeError: int() argument must be a string, a bytes-like object or a number, not 'Timestamp'",failed +tests.integ.modin.frame.test_astype,test_astype_from_timestamp_ltz[to_dtype23],"TypeError: int() argument must be a string, a bytes-like object or a number, not 'Timestamp'",failed +tests.integ.modin.frame.test_astype,test_astype_from_timestamp_ltz[to_dtype24],"TypeError: int() argument must be a string, a bytes-like object or a number, not 'Timestamp'",failed +tests.integ.modin.frame.test_astype,test_astype_from_timestamp_ltz[to_dtype25],AssertionError: assert string[python] == dtype('O'),failed +tests.integ.modin.frame.test_astype,test_astype_from_timestamp_ltz[uint16],"TypeError: Converting from datetime64[ns, America/Los_Angeles] to uint16 is not supported. Do obj.astype('int64').astype(dtype) instead",failed +tests.integ.modin.frame.test_astype,test_astype_from_timestamp_ltz[uint32],"TypeError: Converting from datetime64[ns, America/Los_Angeles] to uint32 is not supported. Do obj.astype('int64').astype(dtype) instead",failed +tests.integ.modin.frame.test_astype,test_astype_from_timestamp_ltz[uint64],"TypeError: Converting from datetime64[ns, America/Los_Angeles] to uint64 is not supported. Do obj.astype('int64').astype(dtype) instead",failed +tests.integ.modin.frame.test_astype,test_astype_from_timestamp_ltz[uint8],"TypeError: Converting from datetime64[ns, America/Los_Angeles] to uint8 is not supported. Do obj.astype('int64').astype(dtype) instead",failed +tests.integ.modin.frame.test_astype,test_astype_to_timedelta_negative,"AssertionError: Regex pattern did not match. + Regex: 'dtype\\ datetime64\\[ns\\]\\ cannot\\ be\\ converted\\ to\\ timedelta64\\[ns\\]' + Input: 'Cannot cast DatetimeArray to dtype timedelta64[ns]'",failed +tests.integ.modin.frame.test_astype,test_input_negative,"AssertionError: Regex pattern did not match. + Regex: 'not found in columns' + Input: ""'Only a column name can be used for the key in a dtype mappings argument.'""",failed +tests.integ.modin.frame.test_at,test_at_multiindex_neg[key0-IndexingError],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_at,test_at_multiindex_neg[key1-IndexingError],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_at,test_at_multiindex_neg[key2-IndexingError],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_at,test_at_multiindex_neg[key3-IndexingError],IndexError: list index out of range,failed +tests.integ.modin.frame.test_at,test_at_neg[0-IndexingError],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_at,test_at_neg[a-IndexingError],"KeyError: array(['a'], dtype=',failed +tests.integ.modin.frame.test_at,test_at_neg[key2-IndexingError],"TypeError: int() argument must be a string, a bytes-like object or a number, not 'dict'",failed +tests.integ.modin.frame.test_at,test_at_neg[key4-IndexingError],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_at,test_at_neg[key5-IndexingError],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_at,test_at_neg[key6-IndexingError],"TypeError: int() argument must be a string, a bytes-like object or a number, not 'dict'",failed +tests.integ.modin.frame.test_at,test_at_neg[key8-KeyError],"TypeError: int() argument must be a string, a bytes-like object or a number, not 'dict'",failed +tests.integ.modin.frame.test_at,test_at_set_default_index_multiindex_columns_neg,Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_at,test_at_set_multiindex_index_multiindex_columns_neg,Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_at,test_at_set_multiindex_index_str_columns_neg,Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_at,test_raise_set_cell_with_list_like_value_error,"ValueError: could not broadcast input array from shape (2,) into shape (1, 1)",failed +tests.integ.modin.frame.test_attrs,test_df_attrs_add,AttributeError: can't set attribute,failed +tests.integ.modin.frame.test_attrs,test_df_attrs_concat[0-data0-attrs_list0],AttributeError: can't set attribute,failed +tests.integ.modin.frame.test_attrs,test_df_attrs_concat[0-data1-attrs_list1],AttributeError: can't set attribute,failed +tests.integ.modin.frame.test_attrs,test_df_attrs_concat[0-data2-attrs_list2],AttributeError: can't set attribute,failed +tests.integ.modin.frame.test_attrs,test_df_attrs_concat[1-data0-attrs_list0],AttributeError: can't set attribute,failed +tests.integ.modin.frame.test_attrs,test_df_attrs_concat[1-data1-attrs_list1],AttributeError: can't set attribute,failed +tests.integ.modin.frame.test_attrs,test_df_attrs_concat[1-data2-attrs_list2],AttributeError: can't set attribute,failed +tests.integ.modin.frame.test_attrs,test_df_attrs_set_deepcopy,AttributeError: can't set attribute,failed +tests.integ.modin.frame.test_attrs,test_df_attrs_take,AttributeError: can't set attribute,failed +tests.integ.modin.frame.test_axis,test_df_set_axis_copy_false,"AssertionError: assert 'keyword is unused and is ignored.' in '' + + where '' = <_pytest.logging.LogCaptureFixture object at 0x33810a490>.text",failed +tests.integ.modin.frame.test_axis,test_df_set_axis_copy_true,"AssertionError: assert 'keyword is unused and is ignored.' in '' + + where '' = <_pytest.logging.LogCaptureFixture object at 0x335e38ca0>.text",failed +tests.integ.modin.frame.test_axis,test_set_axis_df_raises_type_error_diff_error_msg[native_df0-axis0-labels0-list is not a valid type for axis.],"AssertionError: Regex pattern did not match. + Regex: 'list is not a valid type for axis.' + Input: ""unhashable type: 'list'""",failed +tests.integ.modin.frame.test_axis,test_set_axis_df_raises_type_error_diff_error_msg[native_df1-axis1-labels1-list is not a valid type for axis.],"AssertionError: Regex pattern did not match. + Regex: 'list is not a valid type for axis.' + Input: ""unhashable type: 'list'""",failed +tests.integ.modin.frame.test_axis,test_set_axis_df_raises_type_error_diff_error_msg[native_df2-axis2-labels2-Index is not a valid type for axis.],"AssertionError: Regex pattern did not match. + Regex: 'Index is not a valid type for axis.' + Input: ""unhashable type: 'Index'""",failed +tests.integ.modin.frame.test_axis,test_set_axis_df_raises_type_error_diff_error_msg[native_df3-axis3-labels3-DataFrame is not a valid type for axis.],"AssertionError: Regex pattern did not match. + Regex: 'DataFrame is not a valid type for axis.' + Input: ""unhashable type: 'DataFrame'""",failed +tests.integ.modin.frame.test_axis,test_set_axis_df_raises_type_error_diff_error_msg[native_df4-axis4-labels4-Series is not a valid type for axis.],"AssertionError: Regex pattern did not match. + Regex: 'Series is not a valid type for axis.' + Input: ""unhashable type: 'Series'""",failed +tests.integ.modin.frame.test_axis,test_set_axis_df_raises_type_error_diff_error_msg[native_df5-axis5-labels5-MultiIndex is not a valid type for axis.],"AssertionError: Regex pattern did not match. + Regex: 'MultiIndex is not a valid type for axis.' + Input: ""unhashable type: 'MultiIndex'""",failed +tests.integ.modin.frame.test_axis,test_set_axis_df_raises_type_error_diff_error_msg[native_df6-axis6-labels6-MultiIndex is not a valid type for axis.],"AssertionError: Regex pattern did not match. + Regex: 'MultiIndex is not a valid type for axis.' + Input: ""unhashable type: 'MultiIndex'""",failed +tests.integ.modin.frame.test_axis,test_set_axis_df_raises_type_error_diff_error_msg[native_df7-index-None-None is not a valid value for the parameter 'labels'.],"AssertionError: Regex pattern did not match. + Regex: ""None is not a valid value for the parameter 'labels'."" + Input: 'Index(...) must be called with a collection of some kind, None was passed'",failed +tests.integ.modin.frame.test_axis,test_set_axis_df_raises_type_error_diff_error_msg[native_df8-columns-None-None is not a valid value for the parameter 'labels'.],"AssertionError: Regex pattern did not match. + Regex: ""None is not a valid value for the parameter 'labels'."" + Input: 'Index(...) must be called with a collection of some kind, None was passed'",failed +tests.integ.modin.frame.test_axis,test_set_columns_index_name[ c o l ],"AssertionError: Index are different -DataFrame shape mismatch -[left]: (4, 8) -[right]: (1, 8)",failed -5226,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[max0-True-True],AttributeError: can't set attribute,failed -5229,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[gt-rhs1-lhs1],"AssertionError: Series are different +Attribute ""names"" are different +[left]: [None] +[right]: [' c o l ']",failed +tests.integ.modin.frame.test_axis,"test_set_columns_index_name[""COL""]","AssertionError: Index are different -Series values are different (5.55556 %) -[index]: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17] -[left]: [False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False] -[right]: [False, False, False, False, False, False, , False, False, False, False, False, False, False, False, False, False, False]",failed -5232,tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[first--2-4-6],"AssertionError: DataFrame are different - -DataFrame shape mismatch -[left]: (1, 8) -[right]: (0, 8)",failed -5236,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[max0-True-False],AttributeError: can't set attribute,failed -5248,tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[first--2-6-None],KeyError: 8,failed -5257,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[max0-all-True],AttributeError: can't set attribute,failed -5262,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[gt-rhs1-lhs2],TypeError: boolean value of NA is ambiguous,failed -5266,tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[first--2-6-1],KeyError: 8,failed -5268,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[max0-all-False],AttributeError: can't set attribute,failed -5277,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[max0-index-True],AttributeError: can't set attribute,failed -5278,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[gt-rhs1-lhs3],TypeError: '>' not supported between instances of 'NoneType' and 'float',failed -5286,tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[first--2-6-4],KeyError: 8,failed -5288,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[max0-index-False],AttributeError: can't set attribute,failed -5296,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[gt-rhs2-lhs0],TypeError: boolean value of NA is ambiguous,failed -5298,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[max0-columns-True],AttributeError: can't set attribute,failed -5306,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[max0-columns-False],AttributeError: can't set attribute,failed -5313,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[max1-0-True],AttributeError: can't set attribute,failed -5314,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[gt-rhs2-lhs1],TypeError: boolean value of NA is ambiguous,failed -5324,tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[first--2-6-6],KeyError: 8,failed -5333,tests.integ.modin.frame.test_iloc,test_df_iloc_get_col_input_snowpark_pandas_return_dataframe[emptyFloatSeries-2],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -5338,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[max1-0-False],AttributeError: can't set attribute,failed -5347,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[max1-1-True],AttributeError: can't set attribute,failed -5351,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[gt-rhs2-lhs2],TypeError: boolean value of NA is ambiguous,failed -5358,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[max1-1-False],AttributeError: can't set attribute,failed -5360,tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[first--9-1-None],KeyError: 10,failed -5371,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[max1-True-True],AttributeError: can't set attribute,failed -5374,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[gt-rhs2-lhs3],TypeError: boolean value of NA is ambiguous,failed -5379,tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[first--9-1-1],KeyError: 10,failed -5381,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[max1-True-False],AttributeError: can't set attribute,failed -5389,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[max1-all-True],AttributeError: can't set attribute,failed -5391,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[gt-rhs3-lhs0],TypeError: '>' not supported between instances of 'float' and 'NoneType',failed -5397,tests.integ.modin.frame.test_iloc,test_df_iloc_get_empty,IndexError: single positional indexer is out-of-bounds,failed -5398,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[max1-all-False],AttributeError: can't set attribute,failed -5400,tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[first--9-1-4],KeyError: 10,failed -5405,tests.integ.modin.frame.test_iloc,test_df_iloc_get_diff2native,"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -5407,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[gt-rhs3-lhs1],TypeError: '>' not supported between instances of 'float' and 'NoneType',failed -5417,tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[first--9-1-6],KeyError: 10,failed -5422,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[max1-index-True],AttributeError: can't set attribute,failed -5426,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[gt-rhs3-lhs2],TypeError: boolean value of NA is ambiguous,failed -5433,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[max1-index-False],AttributeError: can't set attribute,failed -5441,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[max1-columns-True],AttributeError: can't set attribute,failed -5452,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[max1-columns-False],AttributeError: can't set attribute,failed -5465,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[gt-rhs3-lhs3],TypeError: '>' not supported between instances of 'NoneType' and 'NoneType',failed -5466,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[amax-0-True],AttributeError: can't set attribute,failed -5468,tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[first--9-4-None],KeyError: 13,failed -5476,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[ge-rhs0-lhs0],"AssertionError: Series are different - -Series values are different (5.55556 %) -[index]: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17] -[left]: [True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, False] -[right]: [True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, ]",failed -5478,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[amax-0-False],AttributeError: can't set attribute,failed -5482,tests.integ.modin.frame.test_iloc,test_df_iloc_set_different_incompatible_types[5-123],Failed: DID NOT RAISE ,failed -5485,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[ge-rhs0-lhs1],"AssertionError: Series are different - -Series values are different (11.11111 %) -[index]: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17] -[left]: [True, True, True, True, False, True, False, False, False, False, True, True, True, False, True, True, True, False] -[right]: [True, True, True, True, False, True, , False, False, False, True, True, True, False, True, True, True, ]",failed -5487,tests.integ.modin.frame.test_iloc,test_df_iloc_set_different_incompatible_types[5-99.99],Failed: DID NOT RAISE ,failed -5490,tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[first--9-4-1],KeyError: 13,failed -5492,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[amax-1-True],AttributeError: can't set attribute,failed -5494,tests.integ.modin.frame.test_iloc,test_df_iloc_set_different_incompatible_types[5-True],Failed: DID NOT RAISE ,failed -5498,tests.integ.modin.frame.test_iloc,test_df_iloc_set_different_incompatible_types[5-abc],Failed: DID NOT RAISE ,failed -5503,tests.integ.modin.frame.test_iloc,test_df_iloc_set_different_incompatible_types[5-item_value4],Failed: DID NOT RAISE ,failed -5504,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[ge-rhs0-lhs2],TypeError: boolean value of NA is ambiguous,failed -5508,tests.integ.modin.frame.test_iloc,test_df_iloc_set_different_incompatible_types[5-item_value5],Failed: DID NOT RAISE ,failed -5510,tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[first--9-4-4],KeyError: 13,failed -5512,tests.integ.modin.frame.test_iloc,test_df_iloc_set_different_incompatible_types[6-123],Failed: DID NOT RAISE ,failed -5515,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[amax-1-False],AttributeError: can't set attribute,failed -5517,tests.integ.modin.frame.test_iloc,test_df_iloc_set_different_incompatible_types[6-99.99],Failed: DID NOT RAISE ,failed -5519,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[ge-rhs0-lhs3],TypeError: '>=' not supported between instances of 'NoneType' and 'float',failed -5520,tests.integ.modin.frame.test_iloc,test_df_iloc_set_different_incompatible_types[6-True],Failed: DID NOT RAISE ,failed -5523,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[amax-True-True],AttributeError: can't set attribute,failed -5524,tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_with_non_scalar_fill_value_negative[fill_value0-add],"AssertionError: Regex pattern did not match. - Regex: 'Only scalars can be used as fill_value.' - Input: 'NumPy boolean array indexing assignment cannot assign 3 input values to the 1 output values where the mask is true'",failed -5525,tests.integ.modin.frame.test_iloc,test_df_iloc_set_different_incompatible_types[6-abc],Failed: DID NOT RAISE ,failed -5526,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[ge-rhs1-lhs0],"AssertionError: Series are different - -Series values are different (11.11111 %) -[index]: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17] -[left]: [False, False, False, False, True, False, False, True, True, True, False, False, False, True, False, False, False, False] -[right]: [False, False, False, False, True, False, , True, True, True, False, False, False, True, False, False, False, ]",failed -5528,tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[first--9-4-6],KeyError: 13,failed -5530,tests.integ.modin.frame.test_iloc,test_df_iloc_set_different_incompatible_types[6-item_value4],Failed: DID NOT RAISE ,failed -5532,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[amax-True-False],AttributeError: can't set attribute,failed -5534,tests.integ.modin.frame.test_iloc,test_df_iloc_set_different_incompatible_types[6-item_value5],Failed: DID NOT RAISE ,failed -5539,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[amax-all-True],AttributeError: can't set attribute,failed -5540,tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[first--9-6-None],KeyError: 15,failed -5541,tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_with_non_scalar_fill_value_negative[fill_value0-radd],"AssertionError: Regex pattern did not match. - Regex: 'Only scalars can be used as fill_value.' - Input: 'NumPy boolean array indexing assignment cannot assign 3 input values to the 1 output values where the mask is true'",failed -5546,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[ge-rhs1-lhs1],"AssertionError: Series are different - -Series values are different (5.55556 %) -[index]: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17] -[left]: [True, True, True, True, True, True, False, True, True, True, True, True, True, True, True, True, True, True] -[right]: [True, True, True, True, True, True, , True, True, True, True, True, True, True, True, True, True, True]",failed -5547,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[amax-all-False],AttributeError: can't set attribute,failed -5552,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[amax-index-True],AttributeError: can't set attribute,failed -5553,tests.integ.modin.frame.test_iloc,test_df_iloc_set_negative[key1-val1],Failed: DID NOT RAISE ,failed -5555,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[ge-rhs1-lhs2],TypeError: boolean value of NA is ambiguous,failed -5556,tests.integ.modin.frame.test_iloc,test_df_iloc_set_negative[key2-val2],Failed: DID NOT RAISE ,failed -5557,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[amax-index-False],AttributeError: can't set attribute,failed -5563,tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[first--9-6-1],KeyError: 15,failed -5566,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[ge-rhs1-lhs3],TypeError: '>=' not supported between instances of 'NoneType' and 'float',failed -5567,tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_with_non_scalar_fill_value_negative[fill_value0-sub],"AssertionError: Regex pattern did not match. - Regex: 'Only scalars can be used as fill_value.' - Input: 'NumPy boolean array indexing assignment cannot assign 3 input values to the 1 output values where the mask is true'",failed -5569,tests.integ.modin.frame.test_iloc,test_df_iloc_set_snowpark_pandas_input_negative_incompatible_types[series],Failed: DID NOT RAISE ,failed -5572,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[amax-columns-True],AttributeError: can't set attribute,failed -5573,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[ge-rhs2-lhs0],TypeError: boolean value of NA is ambiguous,failed -5574,tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[first--9-6-4],KeyError: 15,failed -5576,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[amax-columns-False],AttributeError: can't set attribute,failed -5577,tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_with_non_scalar_fill_value_negative[fill_value0-rsub],"AssertionError: Regex pattern did not match. - Regex: 'Only scalars can be used as fill_value.' - Input: 'NumPy boolean array indexing assignment cannot assign 3 input values to the 1 output values where the mask is true'",failed -5580,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[sum0-0-True],AttributeError: can't set attribute,failed -5582,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[ge-rhs2-lhs1],TypeError: boolean value of NA is ambiguous,failed -5583,tests.integ.modin.frame.test_iloc,test_df_iloc_set_snowpark_pandas_input_negative_incompatible_types[series_broadcast],"ValueError: could not broadcast input array from shape (3,) into shape (3, 7)",failed -5586,tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[first--9-6-6],KeyError: 15,failed -5587,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[sum0-0-False],AttributeError: can't set attribute,failed -5590,tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_with_non_scalar_fill_value_negative[fill_value0-mul],"AssertionError: Regex pattern did not match. - Regex: 'Only scalars can be used as fill_value.' - Input: 'NumPy boolean array indexing assignment cannot assign 3 input values to the 1 output values where the mask is true'",failed -5593,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[sum0-1-True],AttributeError: can't set attribute,failed -5596,tests.integ.modin.frame.test_iloc,test_df_iloc_set_snowpark_pandas_input_negative_incompatible_types[df_broadcast],Failed: DID NOT RAISE ,failed -5597,tests.integ.modin.frame.test_loc,test_df_loc_get_with_non_monotonic_index_get_key_slice[key0-expected_index0],"KeyError: ""Cannot get left slice bound for non-unique label: 'b'""",failed -5600,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[sum0-1-False],AttributeError: can't set attribute,failed -5605,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[ge-rhs2-lhs2],TypeError: boolean value of NA is ambiguous,failed -5606,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_duplicates_2d,"AssertionError: DataFrame.iloc[:, 0] (column name=""A"") are different - -DataFrame.iloc[:, 0] (column name=""A"") values are different (50.0 %) -[index]: [0, 1, 2, 3] -[left]: [nan, nan, 3.0, 4.0] -[right]: [72, 73, 3, 4]",failed -5607,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[sum0-True-True],AttributeError: can't set attribute,failed -5612,tests.integ.modin.frame.test_loc,test_df_loc_get_with_non_monotonic_index_get_key_slice[key1-expected_index1],KeyError: 'a',failed -5617,tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_with_non_scalar_fill_value_negative[fill_value0-rmul],"AssertionError: Regex pattern did not match. - Regex: 'Only scalars can be used as fill_value.' - Input: 'NumPy boolean array indexing assignment cannot assign 3 input values to the 1 output values where the mask is true'",failed -5618,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[ge-rhs2-lhs3],TypeError: boolean value of NA is ambiguous,failed -5625,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[sum0-True-False],AttributeError: can't set attribute,failed -5629,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[ge-rhs3-lhs0],TypeError: '>=' not supported between instances of 'float' and 'NoneType',failed -5630,tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_with_non_scalar_fill_value_negative[fill_value0-truediv],"AssertionError: Regex pattern did not match. - Regex: 'Only scalars can be used as fill_value.' - Input: 'NumPy boolean array indexing assignment cannot assign 3 input values to the 1 output values where the mask is true'",failed -5633,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[sum0-all-True],AttributeError: can't set attribute,failed -5637,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[sum0-all-False],AttributeError: can't set attribute,failed -5639,tests.integ.modin.frame.test_loc,test_df_loc_get_with_non_monotonic_index_get_key_slice[key2-expected_index2],KeyError: 'f',failed -5641,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[ge-rhs3-lhs1],TypeError: '>=' not supported between instances of 'float' and 'NoneType',failed -5644,tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_with_non_scalar_fill_value_negative[fill_value0-rtruediv],"AssertionError: Regex pattern did not match. - Regex: 'Only scalars can be used as fill_value.' - Input: 'NumPy boolean array indexing assignment cannot assign 3 input values to the 1 output values where the mask is true'",failed -5645,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[sum0-index-True],AttributeError: can't set attribute,failed -5649,tests.integ.modin.frame.test_loc,test_df_loc_get_with_non_monotonic_index_get_key_slice[key3-expected_index3],"KeyError: ""Cannot get left slice bound for non-unique label: 'd'""",failed -5651,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[sum0-index-False],AttributeError: can't set attribute,failed -5654,tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice_negative[key0-ValueError-slice step cannot be zero],"AssertionError: Regex pattern did not match. - Regex: 'slice step cannot be zero' - Input: 'Step must not be zero'",failed -5657,tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_bool[row-list-key5],IndexError: positional indexers are out-of-bounds,failed -5658,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[sum0-columns-True],AttributeError: can't set attribute,failed -5660,tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice_negative[key1-TypeError-slice step must be integer],"AssertionError: Regex pattern did not match. - Regex: 'slice step must be integer' - Input: ""Wrong type for value 1.1""",failed -5663,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[sum0-columns-False],AttributeError: can't set attribute,failed -5666,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[ge-rhs3-lhs2],TypeError: boolean value of NA is ambiguous,failed -5671,tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_with_non_scalar_fill_value_negative[fill_value0-floordiv],"AssertionError: Regex pattern did not match. - Regex: 'Only scalars can be used as fill_value.' - Input: 'NumPy boolean array indexing assignment cannot assign 3 input values to the 1 output values where the mask is true'",failed -5672,tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_bool[row-series-key0],pandas.errors.IndexingError: Unalignable boolean Series provided as indexer (index of the boolean Series and of the indexed object do not match).,failed -5675,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[ge-rhs3-lhs3],TypeError: '>=' not supported between instances of 'NoneType' and 'NoneType',failed -5680,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[sum1-0-True],AttributeError: can't set attribute,failed -5681,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[lt-rhs0-lhs0],"AssertionError: Series are different - -Series values are different (5.55556 %) -[index]: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17] -[left]: [False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False] -[right]: [False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, ]",failed -5683,tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_with_non_scalar_fill_value_negative[fill_value0-rfloordiv],"AssertionError: Regex pattern did not match. - Regex: 'Only scalars can be used as fill_value.' - Input: 'NumPy boolean array indexing assignment cannot assign 3 input values to the 1 output values where the mask is true'",failed -5686,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[sum1-0-False],AttributeError: can't set attribute,failed -5687,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[lt-rhs0-lhs1],"AssertionError: Series are different - -Series values are different (11.11111 %) -[index]: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17] -[left]: [False, False, False, False, True, False, False, True, True, True, False, False, False, True, False, False, False, False] -[right]: [False, False, False, False, True, False, , True, True, True, False, False, False, True, False, False, False, ]",failed -5688,tests.integ.modin.frame.test_loc,test_df_loc_self_df_set_aligned_row_key[df2],ValueError: cannot reindex on an axis with duplicate labels,failed -5694,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[sum1-1-True],AttributeError: can't set attribute,failed -5697,tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_bool[row-series-key1],pandas.errors.IndexingError: Unalignable boolean Series provided as indexer (index of the boolean Series and of the indexed object do not match).,failed -5698,tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_with_non_scalar_fill_value_negative[fill_value0-mod],"AssertionError: Regex pattern did not match. - Regex: 'Only scalars can be used as fill_value.' - Input: 'NumPy boolean array indexing assignment cannot assign 3 input values to the 1 output values where the mask is true'",failed -5700,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[lt-rhs0-lhs2],TypeError: boolean value of NA is ambiguous,failed -5701,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[sum1-1-False],AttributeError: can't set attribute,failed -5707,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[sum1-True-True],AttributeError: can't set attribute,failed -5711,tests.integ.modin.frame.test_loc,test_df_loc_set_scalar_row_key_enlargement[data_index0-c-T-97],"KeyError: array(['T'], dtype=', False, False, False, True, True, True, False, True, True, True, ]",failed -5730,tests.integ.modin.frame.test_loc,test_df_loc_set_scalar_row_key_enlargement[data_index0-a-col_key5-95],SNOW-1057861: Investigate locset behavior with missing index value,xfailed -5733,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[lt-rhs1-lhs1],"AssertionError: Series are different - -Series values are different (5.55556 %) -[index]: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17] -[left]: [False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False] -[right]: [False, False, False, False, False, False, , False, False, False, False, False, False, False, False, False, False, False]",failed -5738,tests.integ.modin.crosstab.test_crosstab,test_normalize_and_values[sum1-all-False],AttributeError: can't set attribute,failed -5739,tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_with_non_scalar_fill_value_negative[fill_value0-pow],"AssertionError: Regex pattern did not match. - Regex: 'Only scalars can be used as fill_value.' - Input: 'NumPy boolean array indexing assignment cannot assign 3 input values to the 1 output values where the mask is true'",failed -5741,tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_bool[row-series-key4],pandas.errors.IndexingError: Unalignable boolean Series provided as indexer (index of the boolean Series and of the indexed object do not match).,failed -5743,tests.integ.modin.frame.test_loc,test_df_loc_set_scalar_row_key_enlargement[data_index0-x-D-94],"KeyError: array(['x'], dtype=']",failed -5928,tests.integ.modin.crosstab.test_crosstab,test_values[median0-False],AttributeError: can't set attribute,failed -5931,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[le-rhs0-lhs1],"AssertionError: Series are different - -Series values are different (11.11111 %) -[index]: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17] -[left]: [False, False, False, False, True, False, False, True, True, True, False, False, False, True, False, False, False, False] -[right]: [False, False, False, False, True, False, , True, True, True, False, False, False, True, False, False, False, ]",failed -5934,tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_with_non_scalar_fill_value_negative[fill_value1-truediv],"AssertionError: Regex pattern did not match. - Regex: 'Only scalars can be used as fill_value.' - Input: 'NumPy boolean array indexing assignment cannot assign 0 input values to the 1 output values where the mask is true'",failed -5936,tests.integ.modin.crosstab.test_crosstab,test_values[median1-True],AttributeError: can't set attribute,failed -5937,tests.integ.modin.frame.test_loc,test_df_loc_set_scalar_row_key_enlargement[data_index1-x-D-94],"KeyError: array(['x'], dtype=', False, False, False, True, True, True, False, True, True, True, ]",failed -5965,tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_with_non_scalar_fill_value_negative[fill_value1-rfloordiv],"AssertionError: Regex pattern did not match. - Regex: 'Only scalars can be used as fill_value.' - Input: 'NumPy boolean array indexing assignment cannot assign 0 input values to the 1 output values where the mask is true'",failed -5966,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[le-rhs1-lhs1],"AssertionError: Series are different - -Series values are different (5.55556 %) -[index]: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17] -[left]: [True, True, True, True, True, True, False, True, True, True, True, True, True, True, True, True, True, True] -[right]: [True, True, True, True, True, True, , True, True, True, True, True, True, True, True, True, True, True]",failed -5969,tests.integ.modin.crosstab.test_crosstab,test_values[mean0-True],AttributeError: can't set attribute,failed -5973,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[le-rhs1-lhs2],TypeError: boolean value of NA is ambiguous,failed -5974,tests.integ.modin.crosstab.test_crosstab,test_values[mean0-False],AttributeError: can't set attribute,failed -5977,tests.integ.modin.frame.test_loc,test_df_loc_set_scalar_row_key_enlargement[data_index1-u-col_key12-90],SNOW-1321196: pandas 2.2.1 migration test failure,xfailed -5979,tests.integ.modin.crosstab.test_crosstab,test_values[mean1-True],AttributeError: can't set attribute,failed -5981,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[le-rhs1-lhs3],TypeError: '<=' not supported between instances of 'NoneType' and 'float',failed -5983,tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_with_non_scalar_fill_value_negative[fill_value1-mod],"AssertionError: Regex pattern did not match. - Regex: 'Only scalars can be used as fill_value.' - Input: 'NumPy boolean array indexing assignment cannot assign 0 input values to the 1 output values where the mask is true'",failed -5984,tests.integ.modin.crosstab.test_crosstab,test_values[mean1-False],AttributeError: can't set attribute,failed -5986,tests.integ.modin.frame.test_loc,test_df_loc_set_scalar_row_key_enlargement[data_index1-v-col_key13-95],SNOW-1321196: pandas 2.2.1 migration test failure,xfailed -5990,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[le-rhs2-lhs0],TypeError: boolean value of NA is ambiguous,failed -5991,tests.integ.modin.crosstab.test_crosstab,test_values[min0-True],AttributeError: can't set attribute,failed -5994,tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_with_non_scalar_fill_value_negative[fill_value1-rmod],"AssertionError: Regex pattern did not match. - Regex: 'Only scalars can be used as fill_value.' - Input: 'NumPy boolean array indexing assignment cannot assign 0 input values to the 1 output values where the mask is true'",failed -5999,tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_with_non_scalar_fill_value_negative[fill_value1-pow],"AssertionError: Regex pattern did not match. - Regex: 'Only scalars can be used as fill_value.' - Input: 'NumPy boolean array indexing assignment cannot assign 0 input values to the 1 output values where the mask is true'",failed -6000,tests.integ.modin.crosstab.test_crosstab,test_values[min0-False],AttributeError: can't set attribute,failed -6001,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[le-rhs2-lhs1],TypeError: boolean value of NA is ambiguous,failed -6002,tests.integ.modin.frame.test_loc,test_df_loc_set_scalar_row_key_enlargement[data_index1-y-col_key16-item_values16],ValueError: cannot reindex on an axis with duplicate labels,failed -6005,tests.integ.modin.crosstab.test_crosstab,test_values[min1-True],AttributeError: can't set attribute,failed -6007,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[le-rhs2-lhs2],TypeError: boolean value of NA is ambiguous,failed -6009,tests.integ.modin.crosstab.test_crosstab,test_values[min1-False],AttributeError: can't set attribute,failed -6010,tests.integ.modin.frame.test_loc,test_df_loc_set_scalar_row_key_enlargement[data_index1-y-col_key17-item_values17],ValueError: cannot reindex on an axis with duplicate labels,failed -6037,tests.integ.modin.crosstab.test_crosstab,test_values[amin-True],AttributeError: can't set attribute,failed -6038,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[le-rhs2-lhs3],TypeError: boolean value of NA is ambiguous,failed -6039,tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_with_non_scalar_fill_value_negative[fill_value1-rpow],"AssertionError: Regex pattern did not match. - Regex: 'Only scalars can be used as fill_value.' - Input: 'NumPy boolean array indexing assignment cannot assign 0 input values to the 1 output values where the mask is true'",failed -6040,tests.integ.modin.frame.test_loc,test_df_loc_set_scalar_row_key_enlargement[data_index1-u-col_key18-item_values18],SNOW-1321196: pandas 2.2.1 migration test failure,xfailed -6042,tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_with_single_element_list_like_fill_value_negative[add],Failed: DID NOT RAISE ,failed -6044,tests.integ.modin.crosstab.test_crosstab,test_values[amin-False],AttributeError: can't set attribute,failed -6045,tests.integ.modin.frame.test_loc,test_df_loc_set_scalar_row_key_enlargement_deviates_from_native_pandas[data_index0-a-col_key0-95],"KeyError: array(['T', 'T'], dtype=object)",failed -6046,tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_with_single_element_list_like_fill_value_negative[radd],Failed: DID NOT RAISE ,failed -6047,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[le-rhs3-lhs0],TypeError: '<=' not supported between instances of 'float' and 'NoneType',failed -6050,tests.integ.modin.crosstab.test_crosstab,test_values[max0-True],AttributeError: can't set attribute,failed -6052,tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_with_single_element_list_like_fill_value_negative[sub],Failed: DID NOT RAISE ,failed -6053,tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_with_single_element_list_like_fill_value_negative[rsub],Failed: DID NOT RAISE ,failed -6055,tests.integ.modin.crosstab.test_crosstab,test_values[max0-False],AttributeError: can't set attribute,failed -6057,tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_with_single_element_list_like_fill_value_negative[mul],Failed: DID NOT RAISE ,failed -6058,tests.integ.modin.frame.test_loc,test_df_loc_set_scalar_row_key_enlargement_deviates_from_native_pandas[data_index0-w-col_key1-91],"KeyError: array(['V', 'T'], dtype=object)",failed -6060,tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_with_single_element_list_like_fill_value_negative[rmul],Failed: DID NOT RAISE ,failed -6062,tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_with_single_element_list_like_fill_value_negative[truediv],Failed: DID NOT RAISE ,failed -6063,tests.integ.modin.frame.test_loc,test_df_loc_set_scalar_row_key_enlargement_deviates_from_native_pandas[data_index0-u-col_key2-90],"KeyError: array(['T'], dtype=object)",failed -6064,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[le-rhs3-lhs1],TypeError: '<=' not supported between instances of 'float' and 'NoneType',failed -6068,tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_with_single_element_list_like_fill_value_negative[rtruediv],Failed: DID NOT RAISE ,failed -6069,tests.integ.modin.frame.test_loc,test_df_loc_set_scalar_row_key_enlargement_deviates_from_native_pandas[data_index0-v-col_key3-95],"KeyError: array(['T', 'T'], dtype=object)",failed -6070,tests.integ.modin.crosstab.test_crosstab,test_values[max1-True],AttributeError: can't set attribute,failed -6071,tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_with_single_element_list_like_fill_value_negative[floordiv],Failed: DID NOT RAISE ,failed -6074,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[le-rhs3-lhs2],TypeError: boolean value of NA is ambiguous,failed -6075,tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_with_single_element_list_like_fill_value_negative[rfloordiv],Failed: DID NOT RAISE ,failed -6076,tests.integ.modin.frame.test_loc,test_df_loc_set_scalar_row_key_enlargement_deviates_from_native_pandas[data_index0-u-col_key4-item_values4],"KeyError: array(['X', 'T'], dtype=object)",failed -6077,tests.integ.modin.crosstab.test_crosstab,test_values[max1-False],AttributeError: can't set attribute,failed -6079,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True-0--8],IndexError: index -8 is out of bounds for axis 0 with size 7,failed -6080,tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_with_single_element_list_like_fill_value_negative[mod],Failed: DID NOT RAISE ,failed -6081,tests.integ.modin.frame.test_loc,test_df_loc_set_scalar_row_key_enlargement_deviates_from_native_pandas[data_index1-a-col_key0-95],"KeyError: array(['T', 'T'], dtype=object)",failed -6082,tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_with_single_element_list_like_fill_value_negative[rmod],Failed: DID NOT RAISE ,failed -6083,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_numeric[le-rhs3-lhs3],TypeError: '<=' not supported between instances of 'NoneType' and 'NoneType',failed -6084,tests.integ.modin.crosstab.test_crosstab,test_values[amax-True],AttributeError: can't set attribute,failed -6086,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True-0-7],IndexError: positional indexers are out-of-bounds,failed -6087,tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_with_single_element_list_like_fill_value_negative[pow],Failed: DID NOT RAISE ,failed -6088,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_different_types[eq],Failed: DID NOT RAISE ,failed -6089,tests.integ.modin.crosstab.test_crosstab,test_values[amax-False],AttributeError: can't set attribute,failed -6090,tests.integ.modin.binary.test_binary_op,test_binary_arithmetic_ops_with_single_element_list_like_fill_value_negative[rpow],Failed: DID NOT RAISE ,failed -6091,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_different_types[ne],Failed: DID NOT RAISE ,failed -6095,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True-0-52879115],IndexError: positional indexers are out-of-bounds,failed -6097,tests.integ.modin.crosstab.test_crosstab,test_values[sum0-True],AttributeError: can't set attribute,failed -6100,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True-0--9028751],IndexError: index -9028751 is out of bounds for axis 0 with size 7,failed -6101,tests.integ.modin.crosstab.test_crosstab,test_values[sum0-False],AttributeError: can't set attribute,failed -6104,tests.integ.modin.frame.test_loc,test_df_loc_set_scalar_row_key_enlargement_deviates_from_native_pandas[data_index1-w-col_key1-91],ValueError: cannot reindex on an axis with duplicate labels,failed -6108,tests.integ.modin.crosstab.test_crosstab,test_values[sum1-True],AttributeError: can't set attribute,failed -6112,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_different_types[gt],TypeError: '>' not supported between instances of 'str' and 'int',failed -6114,tests.integ.modin.frame.test_loc,test_df_loc_set_scalar_row_key_enlargement_deviates_from_native_pandas[data_index1-u-col_key2-90],ValueError: cannot reindex on an axis with duplicate labels,failed -6116,tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_bool[row-index-key5],IndexError: positional indexers are out-of-bounds,failed -6120,tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_bool[row-ndarray-key0],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -6122,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_different_types[ge],TypeError: '>=' not supported between instances of 'str' and 'int',failed -6124,tests.integ.modin.crosstab.test_crosstab,test_values[sum1-False],AttributeError: can't set attribute,failed -6125,tests.integ.modin.frame.test_loc,test_df_loc_set_scalar_row_key_enlargement_deviates_from_native_pandas[data_index1-v-col_key3-95],ValueError: cannot reindex on an axis with duplicate labels,failed -6132,tests.integ.modin.crosstab.test_crosstab,test_values[sum2-True],AttributeError: can't set attribute,failed -6133,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_different_types[lt],TypeError: '<' not supported between instances of 'str' and 'int',failed -6139,tests.integ.modin.crosstab.test_crosstab,test_values[sum2-False],AttributeError: can't set attribute,failed -6143,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_different_types[le],TypeError: '<=' not supported between instances of 'str' and 'int',failed -6145,tests.integ.modin.crosstab.test_crosstab,test_values_series_like[median0-True],"AssertionError: DataFrame.index are different - -Attribute ""names"" are different -[left]: ['row_0'] -[right]: ['species']",failed -6148,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_variant[eq-rhs0-lhs0],assert True is None,failed -6149,tests.integ.modin.crosstab.test_crosstab,test_values_series_like[median0-False],"AssertionError: DataFrame.index are different - -Attribute ""names"" are different -[left]: ['row_0'] -[right]: ['species']",failed -6150,tests.integ.modin.frame.test_loc,test_df_loc_set_scalar_row_key_enlargement_deviates_from_native_pandas[data_index1-u-col_key4-item_values4],ValueError: cannot reindex on an axis with duplicate labels,failed -6155,tests.integ.modin.crosstab.test_crosstab,test_values_series_like[median1-True],"AssertionError: DataFrame.index are different - -Attribute ""names"" are different -[left]: ['row_0'] -[right]: ['species']",failed -6156,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_variant[ne-rhs0-lhs0],assert False is None,failed -6157,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True--3--8],IndexError: index -8 is out of bounds for axis 0 with size 7,failed -6158,tests.integ.modin.frame.test_loc,test_df_loc_set_scalar_with_item_negative[None-item_value0-True-True],Failed: DID NOT RAISE ,failed -6160,tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_bool[row-ndarray-key5],IndexError: positional indexers are out-of-bounds,failed -6163,tests.integ.modin.crosstab.test_crosstab,test_values_series_like[median1-False],"AssertionError: DataFrame.index are different +Attribute ""names"" are different +[left]: [None] +[right]: ['""COL""']",failed +tests.integ.modin.frame.test_axis,"test_set_columns_index_name[""c""""ol]","AssertionError: Index are different Attribute ""names"" are different -[left]: ['row_0'] -[right]: ['species']",failed -6164,tests.integ.modin.frame.test_loc,test_df_loc_set_scalar_with_item_negative[a-item_value1-True-True],Failed: DID NOT RAISE ,failed -6168,tests.integ.modin.crosstab.test_crosstab,test_values_series_like[count-True],"AssertionError: DataFrame.index are different - -Attribute ""names"" are different -[left]: ['row_0'] -[right]: ['species']",failed -6171,tests.integ.modin.frame.test_loc,test_df_loc_set_scalar_with_item_negative[a-item_value3-True-True],Failed: DID NOT RAISE ,failed -6172,tests.integ.modin.crosstab.test_crosstab,test_values_series_like[count-False],"AssertionError: DataFrame.index are different - -Attribute ""names"" are different -[left]: ['row_0'] -[right]: ['species']",failed -6177,tests.integ.modin.crosstab.test_crosstab,test_values_series_like[mean0-True],"AssertionError: DataFrame.index are different +[left]: [None] +[right]: ['""c""""ol']",failed +tests.integ.modin.frame.test_axis,"test_set_columns_index_name[""col""]","AssertionError: Index are different Attribute ""names"" are different -[left]: ['row_0'] -[right]: ['species']",failed -6179,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True--3-7],IndexError: positional indexers are out-of-bounds,failed -6183,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_variant[gt-rhs0-lhs0],TypeError: '>' not supported between instances of 'NoneType' and 'NoneType',failed -6184,tests.integ.modin.crosstab.test_crosstab,test_values_series_like[mean0-False],"AssertionError: DataFrame.index are different +[left]: [None] +[right]: ['""col""']",failed +tests.integ.modin.frame.test_axis,"test_set_columns_index_name[""col]","AssertionError: Index are different Attribute ""names"" are different -[left]: ['row_0'] -[right]: ['species']",failed -6188,tests.integ.modin.crosstab.test_crosstab,test_values_series_like[mean1-True],"AssertionError: DataFrame.index are different +[left]: [None] +[right]: ['""col']",failed +tests.integ.modin.frame.test_axis,test_set_columns_index_name['co''l],"AssertionError: Index are different Attribute ""names"" are different -[left]: ['row_0'] -[right]: ['species']",failed -6190,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True--3-52879115],IndexError: positional indexers are out-of-bounds,failed -6191,tests.integ.modin.frame.test_loc,test_empty_df_loc_set_scalar,ValueError: cannot set a frame with no defined columns,failed -6192,tests.integ.modin.crosstab.test_crosstab,test_values_series_like[mean1-False],"AssertionError: DataFrame.index are different +[left]: [None] +[right]: [''co''l']",failed +tests.integ.modin.frame.test_axis,test_set_columns_index_name['col],"AssertionError: Index are different Attribute ""names"" are different -[left]: ['row_0'] -[right]: ['species']",failed -6193,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[list0-add],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -6195,tests.integ.modin.crosstab.test_crosstab,test_values_series_like[min0-True],"AssertionError: DataFrame.index are different +[left]: [None] +[right]: [''col']",failed +tests.integ.modin.frame.test_axis,test_set_columns_index_name[5.0],"AssertionError: Index are different Attribute ""names"" are different -[left]: ['row_0'] -[right]: ['species']",failed -6196,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_variant[ge-rhs0-lhs0],TypeError: '>=' not supported between instances of 'NoneType' and 'NoneType',failed -6197,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True--3--9028751],IndexError: index -9028751 is out of bounds for axis 0 with size 7,failed -6199,tests.integ.modin.frame.test_loc,test_empty_df_loc_set_series_and_list[native_item0],"AssertionError: DataFrame.index are different - -DataFrame.index values are different (100.0 %) -[left]: RangeIndex(start=0, stop=3, step=1) -[right]: Index([None, None, None], dtype='object') -At positional index 0, first diff: 0 != None",failed -6200,tests.integ.modin.crosstab.test_crosstab,test_values_series_like[min0-False],"AssertionError: DataFrame.index are different +[left]: [None] +[right]: [5.0]",failed +tests.integ.modin.frame.test_axis,test_set_columns_index_name[5],"AssertionError: Index are different Attribute ""names"" are different -[left]: ['row_0'] -[right]: ['species']",failed -6201,tests.integ.modin.crosstab.test_crosstab,test_values_series_like[min1-True],"AssertionError: DataFrame.index are different +[left]: [None] +[right]: [5]",failed +tests.integ.modin.frame.test_axis,test_set_columns_index_name[COL],"AssertionError: Index are different Attribute ""names"" are different -[left]: ['row_0'] -[right]: ['species']",failed -6203,tests.integ.modin.frame.test_loc,test_empty_df_loc_set_series_and_list[native_item1],"AssertionError: DataFrame.index are different - -DataFrame.index values are different (100.0 %) -[left]: RangeIndex(start=0, stop=3, step=1) -[right]: Index([None, None, None], dtype='object') -At positional index 0, first diff: 0 != None",failed -6205,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_variant[lt-rhs0-lhs0],TypeError: '<' not supported between instances of 'NoneType' and 'NoneType',failed -6206,tests.integ.modin.crosstab.test_crosstab,test_values_series_like[min1-False],"AssertionError: DataFrame.index are different +[left]: [None] +[right]: ['COL']",failed +tests.integ.modin.frame.test_axis,test_set_columns_index_name[\u0e1b\u0e47\u0e19\u0e21\u0e19\u0e38],"AssertionError: Index are different Attribute ""names"" are different -[left]: ['row_0'] -[right]: ['species']",failed -6210,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[list0-radd],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -6211,tests.integ.modin.crosstab.test_crosstab,test_values_series_like[amin-True],"AssertionError: DataFrame.index are different +[left]: [None] +[right]: ['ป็นมนุ']",failed +tests.integ.modin.frame.test_axis,test_set_columns_index_name[\u30c1\u30ea\u30cc\u30eb],"AssertionError: Index are different Attribute ""names"" are different -[left]: ['row_0'] -[right]: ['species']",failed -6214,tests.integ.modin.crosstab.test_crosstab,test_values_series_like[amin-False],"AssertionError: DataFrame.index are different +[left]: [None] +[right]: ['チリヌル']",failed +tests.integ.modin.frame.test_axis,test_set_columns_index_name[\u718a\u732b],"AssertionError: Index are different Attribute ""names"" are different -[left]: ['row_0'] -[right]: ['species']",failed -6215,tests.integ.modin.binary.test_binary_op,test_binary_comparison_method_between_series_variant[le-rhs0-lhs0],TypeError: '<=' not supported between instances of 'NoneType' and 'NoneType',failed -6216,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[list0-sub],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -6219,tests.integ.modin.crosstab.test_crosstab,test_values_series_like[max0-True],"AssertionError: DataFrame.index are different +[left]: [None] +[right]: ['熊猫']",failed +tests.integ.modin.frame.test_axis,test_set_columns_index_name[\xff\xfes\x00n\x00o\x00w\x00f\x00l\x00a\x00k\x00e\x00],"AssertionError: Index are different Attribute ""names"" are different -[left]: ['row_0'] -[right]: ['species']",failed -6222,tests.integ.modin.frame.test_loc,test_empty_df_loc_set_series_and_list[native_item3],"AssertionError: DataFrame.index are different - -DataFrame.index values are different (100.0 %) -[left]: RangeIndex(start=0, stop=3, step=1) -[right]: Index(['a', 'b', 'c'], dtype='object') -At positional index 0, first diff: 0 != a",failed -6224,tests.integ.modin.crosstab.test_crosstab,test_values_series_like[max0-False],"AssertionError: DataFrame.index are different +[left]: [None] +[right]: [b'\xff\xfes\x00n\x00o\x00w\x00f\x00l\x00a\x00k\x00e\x00']",failed +tests.integ.modin.frame.test_axis,test_set_columns_index_name[index_name2],"AssertionError: Index are different Attribute ""names"" are different -[left]: ['row_0'] -[right]: ['species']",failed -6226,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[list0-rsub],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -6229,tests.integ.modin.crosstab.test_crosstab,test_values_series_like[max1-True],"AssertionError: DataFrame.index are different +[left]: [None] +[right]: [('5', 5)]",failed +tests.integ.modin.frame.test_axis,"test_set_columns_index_name[{""snow"": {""fla"": ""ke""}}]","AssertionError: Index are different Attribute ""names"" are different -[left]: ['row_0'] -[right]: ['species']",failed -6232,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[list0-mul],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -6233,tests.integ.modin.crosstab.test_crosstab,test_values_series_like[max1-False],"AssertionError: DataFrame.index are different +[left]: [None] +[right]: ['{""snow"": {""fla"": ""ke""}}']",failed +tests.integ.modin.frame.test_cache_result,test_cache_result_dataframe_complex_correctness[False],"NotImplementedError: Modin supports the method DataFrame.cache_result on the Snowflake backend, but not on the backend Pandas.",failed +tests.integ.modin.frame.test_cache_result,test_cache_result_dataframe_complex_correctness[True],"NotImplementedError: Modin supports the method DataFrame.cache_result on the Snowflake backend, but not on the backend Pandas.",failed +tests.integ.modin.frame.test_cache_result,test_cache_result_empty_dataframe[False-col_and_index],"NotImplementedError: Modin supports the method DataFrame.cache_result on the Snowflake backend, but not on the backend Pandas.",failed +tests.integ.modin.frame.test_cache_result,test_cache_result_empty_dataframe[False-no_col_no_index],"NotImplementedError: Modin supports the method DataFrame.cache_result on the Snowflake backend, but not on the backend Pandas.",failed +tests.integ.modin.frame.test_cache_result,test_cache_result_empty_dataframe[False-only_col],"NotImplementedError: Modin supports the method DataFrame.cache_result on the Snowflake backend, but not on the backend Pandas.",failed +tests.integ.modin.frame.test_cache_result,test_cache_result_empty_dataframe[False-only_index],"NotImplementedError: Modin supports the method DataFrame.cache_result on the Snowflake backend, but not on the backend Pandas.",failed +tests.integ.modin.frame.test_cache_result,test_cache_result_empty_dataframe[True-col_and_index],"NotImplementedError: Modin supports the method DataFrame.cache_result on the Snowflake backend, but not on the backend Pandas.",failed +tests.integ.modin.frame.test_cache_result,test_cache_result_empty_dataframe[True-no_col_no_index],"NotImplementedError: Modin supports the method DataFrame.cache_result on the Snowflake backend, but not on the backend Pandas.",failed +tests.integ.modin.frame.test_cache_result,test_cache_result_empty_dataframe[True-only_col],"NotImplementedError: Modin supports the method DataFrame.cache_result on the Snowflake backend, but not on the backend Pandas.",failed +tests.integ.modin.frame.test_cache_result,test_cache_result_empty_dataframe[True-only_index],"NotImplementedError: Modin supports the method DataFrame.cache_result on the Snowflake backend, but not on the backend Pandas.",failed +tests.integ.modin.frame.test_cache_result,test_cache_result_post_apply[False],"NotImplementedError: Modin supports the method DataFrame.cache_result on the Snowflake backend, but not on the backend Pandas.",failed +tests.integ.modin.frame.test_cache_result,test_cache_result_post_apply[True],"NotImplementedError: Modin supports the method DataFrame.cache_result on the Snowflake backend, but not on the backend Pandas.",failed +tests.integ.modin.frame.test_cache_result,test_cache_result_post_applymap[False],"NotImplementedError: Modin supports the method DataFrame.cache_result on the Snowflake backend, but not on the backend Pandas.",failed +tests.integ.modin.frame.test_cache_result,test_cache_result_post_applymap[True],"NotImplementedError: Modin supports the method DataFrame.cache_result on the Snowflake backend, but not on the backend Pandas.",failed +tests.integ.modin.frame.test_cache_result,test_cache_result_post_pivot[False],"NotImplementedError: Modin supports the method DataFrame.cache_result on the Snowflake backend, but not on the backend Pandas.",failed +tests.integ.modin.frame.test_cache_result,test_cache_result_post_pivot[True],"NotImplementedError: Modin supports the method DataFrame.cache_result on the Snowflake backend, but not on the backend Pandas.",failed +tests.integ.modin.frame.test_cache_result,test_cache_result_simple[False],"NotImplementedError: Modin supports the method DataFrame.cache_result on the Snowflake backend, but not on the backend Pandas.",failed +tests.integ.modin.frame.test_cache_result,test_cache_result_simple[True],"NotImplementedError: Modin supports the method DataFrame.cache_result on the Snowflake backend, but not on the backend Pandas.",failed +tests.integ.modin.frame.test_compare,test_align_axis[0],[XPASS(strict)] ,failed +tests.integ.modin.frame.test_compare,test_align_axis[index],[XPASS(strict)] ,failed +tests.integ.modin.frame.test_compare,test_different_columns,"AssertionError: Regex pattern did not match. + Regex: 'Can only compare identically-labeled objects' + Input: 'Can only compare identically-labeled (both index and columns) DataFrame objects'",failed +tests.integ.modin.frame.test_compare,test_different_index,"AssertionError: Regex pattern did not match. + Regex: 'Can only compare identically-labeled objects' + Input: 'Can only compare identically-labeled (both index and columns) DataFrame objects'",failed +tests.integ.modin.frame.test_compare,test_keep_equal,[XPASS(strict)] ,failed +tests.integ.modin.frame.test_compare,test_keep_shape,[XPASS(strict)] ,failed +tests.integ.modin.frame.test_compare,test_result_names,[XPASS(strict)] ,failed +tests.integ.modin.frame.test_create_or_replace_dynamic_table,test_create_or_replace_dynamic_table_enforce_ordering_raises,UnboundLocalError: local variable 'dynamic_table_name' referenced before assignment,failed +tests.integ.modin.frame.test_create_or_replace_view,test_create_or_replace_view_basic,"NotImplementedError: Modin supports the method DataFrame.create_or_replace_view on the Snowflake backend, but not on the backend Pandas.",failed +tests.integ.modin.frame.test_create_or_replace_view,test_create_or_replace_view_multiple_sessions_enforce_ordering_raises,UnboundLocalError: local variable 'view_name' referenced before assignment,failed +tests.integ.modin.frame.test_cumulative,test_dataframe_cumfunc_axis_negative[cummax],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_cumulative,test_dataframe_cumfunc_axis_negative[cummin],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_cumulative,test_dataframe_cumfunc_axis_negative[cumsum],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_describe,test_describe_duplicate_columns[None-None-7],"AssertionError: DataFrame are different -Attribute ""names"" are different -[left]: ['row_0'] -[right]: ['species']",failed -6235,tests.integ.modin.crosstab.test_crosstab,test_values_series_like[amax-True],"AssertionError: DataFrame.index are different +DataFrame shape mismatch +[left]: (11, 3) +[right]: (8, 2)",failed +tests.integ.modin.frame.test_describe,test_describe_duplicate_columns[None-float-9],"AssertionError: DataFrame are different -Attribute ""names"" are different -[left]: ['row_0'] -[right]: ['species']",failed -6236,tests.integ.modin.frame.test_loc,test_empty_df_loc_set_series_and_list[native_item5],"AssertionError: DataFrame.index are different +DataFrame shape mismatch +[left]: (11, 3) +[right]: (11, 2)",failed +tests.integ.modin.frame.test_describe,test_describe_duplicate_columns[None-object-7],ValueError: No objects to concatenate,failed +tests.integ.modin.frame.test_describe,test_describe_duplicate_columns[float-int-5],ValueError: No objects to concatenate,failed +tests.integ.modin.frame.test_describe,test_describe_duplicate_columns[int-float-5],ValueError: No objects to concatenate,failed +tests.integ.modin.frame.test_describe,test_describe_duplicate_columns[number-None-7],ValueError: No objects to concatenate,failed +tests.integ.modin.frame.test_describe,test_describe_duplicate_columns[object-None-4],"AssertionError: DataFrame are different -DataFrame.index values are different (100.0 %) -[left]: RangeIndex(start=0, stop=4, step=1) -[right]: Index(['a', None, None, 'd'], dtype='object') -At positional index 0, first diff: 0 != a",failed -6238,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[list0-rmul],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -6240,tests.integ.modin.crosstab.test_crosstab,test_values_series_like[amax-False],"AssertionError: DataFrame.index are different +DataFrame shape mismatch +[left]: (11, 3) +[right]: (4, 1)",failed +tests.integ.modin.frame.test_describe,test_describe_duplicate_columns_mixed,"AssertionError: DataFrame are different -Attribute ""names"" are different -[left]: ['row_0'] -[right]: ['species']",failed -6244,tests.integ.modin.crosstab.test_crosstab,test_values_series_like[sum0-True],"AssertionError: DataFrame.index are different +DataFrame shape mismatch +[left]: (11, 3) +[right]: (8, 2)",failed +tests.integ.modin.frame.test_describe,test_timedelta,"[XPASS(strict)] requires concat(), which we cannot do with Timedelta.",failed +tests.integ.modin.frame.test_diff,test_col_wise_diff_all_int_df[with_len(df.columns)/2_cols_after],ValueError: periods must be an int. got instead,failed +tests.integ.modin.frame.test_diff,test_col_wise_diff_all_int_df[with_len(df.columns)/2_cols_before],ValueError: periods must be an int. got instead,failed +tests.integ.modin.frame.test_diff,test_df_diff_bool_df_with_missing_values[0],TypeError: unsupported operand type for -: got object,failed +tests.integ.modin.frame.test_diff,test_df_diff_bool_df_with_missing_values[1],TypeError: unsupported operand type for -: got object,failed +tests.integ.modin.frame.test_diff,test_df_diff_bools_and_ints_as_variants[0],TypeError: unsupported operand type for -: got object,failed +tests.integ.modin.frame.test_diff,test_df_diff_bools_and_ints_as_variants[1],TypeError: unsupported operand type for -: got object,failed +tests.integ.modin.frame.test_diff,test_df_diff_bools_as_variants,TypeError: unsupported operand type for -: got object,failed +tests.integ.modin.frame.test_diff,test_df_diff_bools_as_variants_and_ints[0],TypeError: unsupported operand type for -: got object,failed +tests.integ.modin.frame.test_diff,test_df_diff_bools_as_variants_and_ints[1],TypeError: unsupported operand type for -: got object,failed +tests.integ.modin.frame.test_diff,test_df_diff_custom_variant_type_negative,TypeError: unsupported operand type for -: got object,failed +tests.integ.modin.frame.test_diff,test_df_diff_mixed_variant_columns[0],TypeError: unsupported operand type for -: got object,failed +tests.integ.modin.frame.test_diff,test_df_diff_mixed_variant_columns[1],TypeError: unsupported operand type for -: got object,failed +tests.integ.modin.frame.test_diff,test_df_diff_string_type_negative,"AssertionError: Regex pattern did not match. + Regex: ""Numeric value 'a' is not recognized"" + Input: 'unsupported operand type for -: got object'",failed +tests.integ.modin.frame.test_diff,test_row_wise_diff_all_int_df[with_len(df)/2_rows_after],ValueError: periods must be an int. got instead,failed +tests.integ.modin.frame.test_diff,test_row_wise_diff_all_int_df[with_len(df)/2_rows_before],ValueError: periods must be an int. got instead,failed +tests.integ.modin.frame.test_drop,test_drop_invalid_axis0_labels_errors_ignore[labels5-None],"AssertionError: DataFrame are different -Attribute ""names"" are different -[left]: ['row_0'] -[right]: ['species']",failed -6245,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[list0-truediv],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -6247,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True-4--8],IndexError: index -8 is out of bounds for axis 0 with size 7,failed -6248,tests.integ.modin.crosstab.test_crosstab,test_values_series_like[sum0-False],"AssertionError: DataFrame.index are different +DataFrame shape mismatch +[left]: (3, 2) +[right]: (1, 2)",failed +tests.integ.modin.frame.test_drop,"test_drop_invalid_labels_axis0_negative[labels \\[4, 5, 7\\] not found in axis-labels7-None-3]","AssertionError: Regex pattern did not match. + Regex: 'labels \\[4, 5, 7\\] not found in axis' + Input: '""labels Index([4, 5, 7], dtype=\'int64\') not contained in axis""'",failed +tests.integ.modin.frame.test_drop,test_drop_invalid_labels_axis0_negative[labels \\[4\\] not found in axis-4-None-1],"AssertionError: Regex pattern did not match. + Regex: 'labels \\[4\\] not found in axis' + Input: '""labels Index([4], dtype=\'int64\') not contained in axis""'",failed +tests.integ.modin.frame.test_drop,test_drop_invalid_labels_axis0_negative[labels \\[7\\] not found in axis-labels8-None-2],"AssertionError: Regex pattern did not match. + Regex: 'labels \\[7\\] not found in axis' + Input: '""labels Index([1, 7], dtype=\'int64\') not contained in axis""'",failed +tests.integ.modin.frame.test_drop,test_drop_invalid_labels_axis0_negative[labels \\[None\\] not found in axis-labels0-None-1],"AssertionError: Regex pattern did not match. + Regex: 'labels \\[None\\] not found in axis' + Input: '""labels Index([None], dtype=\'object\') not contained in axis""'",failed +tests.integ.modin.frame.test_drop,"test_drop_invalid_labels_axis0_negative[labels \\[\\(1, 2\\)\\] not found in axis-labels6-None-1]","AssertionError: Regex pattern did not match. + Regex: 'labels \\[\\(1, 2\\)\\] not found in axis' + Input: '""labels Index([1, 2], dtype=\'int64\') not contained in axis""'",failed +tests.integ.modin.frame.test_drop,test_drop_invalid_labels_axis1_negative[labels \\['blue'\\] not found in axis-blue-None],"AssertionError: Regex pattern did not match. + Regex: ""labels \\['blue'\\] not found in axis"" + Input: '""labels Index([\'blue\'], dtype=\'object\') not contained in axis""'",failed +tests.integ.modin.frame.test_drop,test_drop_invalid_labels_axis1_negative[labels \\['blue'\\] not found in axis-labels9-None],"AssertionError: Regex pattern did not match. + Regex: ""labels \\['blue'\\] not found in axis"" + Input: '""labels Index([\'blue\', \'red\'], dtype=\'object\') not contained in axis""'",failed +tests.integ.modin.frame.test_drop,"test_drop_invalid_labels_axis1_negative[labels \\[1, 2, 3\\] not found in axis-labels8-None]","AssertionError: Regex pattern did not match. + Regex: 'labels \\[1, 2, 3\\] not found in axis' + Input: '""labels Index([1, 2, 3], dtype=\'int64\') not contained in axis""'",failed +tests.integ.modin.frame.test_drop,test_drop_invalid_labels_axis1_negative[labels \\[3\\] not found in axis-3-None],"AssertionError: Regex pattern did not match. + Regex: 'labels \\[3\\] not found in axis' + Input: '""labels Index([3], dtype=\'int64\') not contained in axis""'",failed +tests.integ.modin.frame.test_drop,"test_drop_invalid_labels_axis1_negative[labels \\[\\(1, 2\\)\\] not found in axis-labels7-None]","AssertionError: Regex pattern did not match. + Regex: 'labels \\[\\(1, 2\\)\\] not found in axis' + Input: '""labels Index([1, 2], dtype=\'int64\') not contained in axis""'",failed +tests.integ.modin.frame.test_drop,test_drop_level[0-a-None],"KeyError: ""labels Index(['a'], dtype='object') not contained in axis""",failed +tests.integ.modin.frame.test_drop,test_drop_level[1-a-None],"KeyError: ""labels Index(['a'], dtype='object') not contained in axis""",failed +tests.integ.modin.frame.test_drop,test_drop_preserve_index_names,"KeyError: ""labels Index(['red'], dtype='object') not contained in axis""",failed +tests.integ.modin.frame.test_drop,test_mixed_depth_drop[0-a],"KeyError: ""labels Index(['a'], dtype='object') not contained in axis""",failed +tests.integ.modin.frame.test_drop,test_mixed_depth_drop[0-labels1],"KeyError: ""labels Index(['', 'a'], dtype='object') not contained in axis""",failed +tests.integ.modin.frame.test_drop,test_mixed_depth_drop[0-labels2],"KeyError: ""labels Index(['top'], dtype='object') not contained in axis""",failed +tests.integ.modin.frame.test_drop,test_mixed_depth_drop[0-labels4],"KeyError: ""labels Index(['OD', 'top', 'wx'], dtype='object') not contained in axis""",failed +tests.integ.modin.frame.test_drop,test_mixed_depth_drop[1-a],"KeyError: ""labels Index(['a'], dtype='object') not contained in axis""",failed +tests.integ.modin.frame.test_drop,test_mixed_depth_drop[1-labels1],"KeyError: ""labels Index(['', 'a'], dtype='object') not contained in axis""",failed +tests.integ.modin.frame.test_drop,test_mixed_depth_drop[1-labels2],"KeyError: ""labels Index(['top'], dtype='object') not contained in axis""",failed +tests.integ.modin.frame.test_drop,test_mixed_depth_drop[1-labels4],"KeyError: ""labels Index(['OD', 'top', 'wx'], dtype='object') not contained in axis""",failed +tests.integ.modin.frame.test_drop_duplicates,test_drop_duplicates_with_misspelled_column_name_or_empty_subset[a],"AssertionError: Regex pattern did not match. + Regex: 'None of .* are in the \\[columns\\]' + Input: ""Index(['a'], dtype='object')""",failed +tests.integ.modin.frame.test_drop_duplicates,test_drop_duplicates_with_misspelled_column_name_or_empty_subset[subset1],"AssertionError: Regex pattern did not match. + Regex: 'None of .* are in the \\[columns\\]' + Input: ""Index(['a'], dtype='object')""",failed +tests.integ.modin.frame.test_drop_duplicates,test_drop_duplicates_with_misspelled_column_name_or_empty_subset[subset2],"AssertionError: Regex pattern did not match. + Regex: '.* not in index' + Input: ""Index(['a'], dtype='object')""",failed +tests.integ.modin.frame.test_drop_duplicates,test_drop_duplicates_with_misspelled_column_name_or_empty_subset[subset3],pandas.errors.IndexingError: Unalignable boolean Series provided as indexer (index of the boolean Series and of the indexed object do not match).,failed +tests.integ.modin.frame.test_dropna,test_axis_1_not_implemented,Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_dropna,test_basic_arguments[SNOW-1787507_subset_scalar],"TypeError: Index(...) must be called with a collection of some kind, 'toy' was passed",failed +tests.integ.modin.frame.test_dropna,test_dropna_negative,AssertionError: Snowpark pandas Exception [np.str_('invalid')] doesn't match pandas Exception ['invalid'],failed +tests.integ.modin.frame.test_dtypes,test_empty[None-expected_dtype3-snowpark_dtype3-to_pandas_dtype3],AttributeError: 'DataFrame' object has no attribute 'get_snowflake_type',failed +tests.integ.modin.frame.test_dtypes,test_empty[input_dtype0-expected_dtype0-snowpark_dtype0-to_pandas_dtype0],AttributeError: 'DataFrame' object has no attribute 'get_snowflake_type',failed +tests.integ.modin.frame.test_dtypes,test_empty[input_dtype1-expected_dtype1-snowpark_dtype1-to_pandas_dtype1],AttributeError: 'DataFrame' object has no attribute 'get_snowflake_type',failed +tests.integ.modin.frame.test_dtypes,test_empty[input_dtype2-expected_dtype2-snowpark_dtype2-to_pandas_dtype2],AttributeError: 'DataFrame' object has no attribute 'get_snowflake_type',failed +tests.integ.modin.frame.test_dtypes,test_extended_float64_with_nan,AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed +tests.integ.modin.frame.test_dtypes,test_float[dataframe_input0-input_dtype0-expected_dtype0-logical_dtype0],"AssertionError: assert dtype('float16') == dtype('float64') + + where dtype('float16') = 0 1.099609\n1 2.199219\n2 3.300781\ndtype: float16.dtype",failed +tests.integ.modin.frame.test_dtypes,test_float[dataframe_input1-input_dtype1-expected_dtype1-logical_dtype1],"AssertionError: assert dtype('float32') == dtype('float64') + + where dtype('float32') = 0 1.1\n1 2.2\n2 3.3\ndtype: float32.dtype",failed +tests.integ.modin.frame.test_dtypes,test_integer[dataframe_input0-input_dtype0-logical_dtype0],"AssertionError: assert dtype('int8') == dtype('int64') + + where dtype('int8') = 0 1\n1 2\n2 3\ndtype: int8.dtype",failed +tests.integ.modin.frame.test_dtypes,test_integer[dataframe_input1-input_dtype1-logical_dtype1],"AssertionError: assert dtype('int16') == dtype('int64') + + where dtype('int16') = 0 1\n1 2\n2 3\ndtype: int16.dtype",failed +tests.integ.modin.frame.test_dtypes,test_integer[dataframe_input2-input_dtype2-logical_dtype2],"AssertionError: assert dtype('int32') == dtype('int64') + + where dtype('int32') = 0 1\n1 2\n2 3\ndtype: int32.dtype",failed +tests.integ.modin.frame.test_dtypes,test_integer[dataframe_input4-input_dtype4-logical_dtype4],"AssertionError: assert dtype('int16') == dtype('int64') + + where dtype('int16') = 0 1024\n1 2048\n2 3072\ndtype: int16.dtype",failed +tests.integ.modin.frame.test_dtypes,test_integer[dataframe_input5-input_dtype5-logical_dtype5],"AssertionError: assert dtype('int32') == dtype('int64') + + where dtype('int32') = 0 1024\n1 2048\n2 3072\ndtype: int32.dtype",failed +tests.integ.modin.frame.test_dtypes,test_integer[dataframe_input7-input_dtype7-logical_dtype7],"AssertionError: assert dtype('int32') == dtype('int64') + + where dtype('int32') = 0 1048576\n1 2097152\n2 3145728\ndtype: int32.dtype",failed +tests.integ.modin.frame.test_dtypes,test_nullable_extension[dataframe_input0-None-snowpark_dtype0-logical_dtype0],AttributeError: 'DataFrame' object has no attribute 'get_snowflake_type',failed +tests.integ.modin.frame.test_dtypes,test_nullable_extension[dataframe_input1-Int64-snowpark_dtype1-logical_dtype1],"AssertionError: assert Int64Dtype() == dtype('int64') + + where Int64Dtype() = 0 1\n1 2\n2 \ndtype: Int64.dtype",failed +tests.integ.modin.frame.test_dtypes,test_nullable_extension[dataframe_input10-Float64-snowpark_dtype10-logical_dtype10],"AssertionError: assert Float64Dtype() == dtype('float64') + + where Float64Dtype() = 0 1.0\n1 2.0\n2 \ndtype: Float64.dtype",failed +tests.integ.modin.frame.test_dtypes,test_nullable_extension[dataframe_input11-Int64-snowpark_dtype11-logical_dtype11],"AssertionError: assert Int64Dtype() == dtype('int64') + + where Int64Dtype() = 0 1\n1 2\n2 \n3 \n4 \ndtype: Int64.dtype",failed +tests.integ.modin.frame.test_dtypes,test_nullable_extension[dataframe_input12-Float64-snowpark_dtype12-logical_dtype12],"AssertionError: assert Float64Dtype() == dtype('float64') + + where Float64Dtype() = 0 1.0\n1 2.0\n2 \n3 \n4 NaN\n5 \ndtype: Float64.dtype",failed +tests.integ.modin.frame.test_dtypes,test_nullable_extension[dataframe_input2-UInt64-snowpark_dtype2-logical_dtype2],"AssertionError: assert UInt64Dtype() == dtype('int64') + + where UInt64Dtype() = 0 1\n1 2\n2 \ndtype: UInt64.dtype",failed +tests.integ.modin.frame.test_dtypes,test_nullable_extension[dataframe_input3-Int32-snowpark_dtype3-logical_dtype3],"AssertionError: assert Int32Dtype() == dtype('int64') + + where Int32Dtype() = 0 1\n1 2\n2 \ndtype: Int32.dtype",failed +tests.integ.modin.frame.test_dtypes,test_nullable_extension[dataframe_input4-UInt32-snowpark_dtype4-logical_dtype4],"AssertionError: assert UInt32Dtype() == dtype('int64') + + where UInt32Dtype() = 0 1\n1 2\n2 \ndtype: UInt32.dtype",failed +tests.integ.modin.frame.test_dtypes,test_nullable_extension[dataframe_input5-Int16-snowpark_dtype5-logical_dtype5],"AssertionError: assert Int16Dtype() == dtype('int64') + + where Int16Dtype() = 0 1\n1 2\n2 \ndtype: Int16.dtype",failed +tests.integ.modin.frame.test_dtypes,test_nullable_extension[dataframe_input6-UInt16-snowpark_dtype6-logical_dtype6],"AssertionError: assert UInt16Dtype() == dtype('int64') + + where UInt16Dtype() = 0 1\n1 2\n2 \ndtype: UInt16.dtype",failed +tests.integ.modin.frame.test_dtypes,test_nullable_extension[dataframe_input7-Int8-snowpark_dtype7-logical_dtype7],"AssertionError: assert Int8Dtype() == dtype('int64') + + where Int8Dtype() = 0 1\n1 2\n2 \ndtype: Int8.dtype",failed +tests.integ.modin.frame.test_dtypes,test_nullable_extension[dataframe_input8-UInt8-snowpark_dtype8-logical_dtype8],"AssertionError: assert UInt8Dtype() == dtype('int64') + + where UInt8Dtype() = 0 1\n1 2\n2 \ndtype: UInt8.dtype",failed +tests.integ.modin.frame.test_dtypes,test_nullable_extension[dataframe_input9-Float32-snowpark_dtype9-logical_dtype9],"AssertionError: assert Float32Dtype() == dtype('float64') + + where Float32Dtype() = 0 1.0\n1 2.0\n2 \ndtype: Float32.dtype",failed +tests.integ.modin.frame.test_dtypes,test_object[dataframe_input0-snowpark_dtype0],AttributeError: 'DataFrame' object has no attribute 'get_snowflake_type',failed +tests.integ.modin.frame.test_dtypes,test_object[dataframe_input1-snowpark_dtype1],AttributeError: 'DataFrame' object has no attribute 'get_snowflake_type',failed +tests.integ.modin.frame.test_dtypes,test_object[dataframe_input2-snowpark_dtype2],AttributeError: 'DataFrame' object has no attribute 'get_snowflake_type',failed +tests.integ.modin.frame.test_dtypes,test_str_float_type_with_nan[input_data0-None-expected_dtype0-snowpark_dtype0-to_pandas_dtype0],AttributeError: 'DataFrame' object has no attribute 'get_snowflake_type',failed +tests.integ.modin.frame.test_dtypes,test_str_float_type_with_nan[input_data1-input_dtype1-expected_dtype1-snowpark_dtype1-to_pandas_dtype1],AttributeError: 'DataFrame' object has no attribute 'get_snowflake_type',failed +tests.integ.modin.frame.test_dtypes,test_str_float_type_with_nan[input_data2-input_dtype2-expected_dtype2-snowpark_dtype2-to_pandas_dtype2],AttributeError: 'DataFrame' object has no attribute 'get_snowflake_type',failed +tests.integ.modin.frame.test_dtypes,test_string_explicit[dataframe_input0-string-index0],"AssertionError: assert string[python] == + + where string[python] = 0 a\n1 b\n2 c\ndtype: string.dtype + + and = np.object_",failed +tests.integ.modin.frame.test_dtypes,"test_time[dataframe_input2-datetime64[ns, America/Los_Angeles]-datetime64[ns, UTC-08:00]-datetime64[ns, UTC-08:00]]","AssertionError: assert datetime64[ns, America/Los_Angeles] == 'datetime64[ns, UTC-08:00]' + + where datetime64[ns, America/Los_Angeles] = 0 2017-12-15 19:02:35-08:00\n1 2017-12-15 19:02:35-08:00\ndtype: datetime64[ns, America/Los_Angeles].dtype",failed +tests.integ.modin.frame.test_dtypes,test_time[dataframe_input3-object-datetime64[ns]-datetime64[ns]],"AssertionError: assert dtype('O') == 'datetime64[ns]' + + where dtype('O') = 0 2017-12-16 03:02:35\n1 2017-12-16 03:02:35\n2 None\ndtype: object.dtype",failed +tests.integ.modin.frame.test_dtypes,"test_time[dataframe_input4-object-datetime64[ns, UTC-08:00]-datetime64[ns, UTC-08:00]]","AssertionError: assert dtype('O') == 'datetime64[ns, UTC-08:00]' + + where dtype('O') = 0 2017-12-15 19:02:35-08:00\n1 None\n2 NaT\n3 2017-12-15 19:02:35-08:00\ndtype: object.dtype",failed +tests.integ.modin.frame.test_dtypes,test_unsupported_dtype_raises[input_data0-category-category],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_dtypes,test_unsupported_dtype_raises[input_data1-category-category],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_dtypes,test_unsupported_dtype_raises[input_data2-None-period\\[s\\]],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_equals,test_equals_numeric_variants[float16-float32-True],"AssertionError: assert np.False_ == True + + where np.False_ = ( col1\n0 1.0\n1 3.0) + + where = col1\n0 1.0\n1 3.0.equals + + where col1\n0 1.0\n1 3.0 = ( col1\n0 1.0\n1 3.0) + + where = pd.DataFrame + + and col1\n0 1.0\n1 3.0 = ( col1\n0 1.0\n1 3.0) + + where = pd.DataFrame",failed +tests.integ.modin.frame.test_equals,test_equals_numeric_variants[float64-float32-True],"AssertionError: assert np.False_ == True + + where np.False_ = ( col1\n0 1.0\n1 3.0) + + where = col1\n0 1.0\n1 3.0.equals + + where col1\n0 1.0\n1 3.0 = ( col1\n0 1.0\n1 3.0) + + where = pd.DataFrame + + and col1\n0 1.0\n1 3.0 = ( col1\n0 1.0\n1 3.0) + + where = pd.DataFrame",failed +tests.integ.modin.frame.test_equals,test_equals_numeric_variants[int32-int16-True],"AssertionError: assert np.False_ == True + + where np.False_ = ( col1\n0 1\n1 3) + + where = col1\n0 1\n1 3.equals + + where col1\n0 1\n1 3 = ( col1\n0 1\n1 3) + + where = pd.DataFrame + + and col1\n0 1\n1 3 = ( col1\n0 1\n1 3) + + where = pd.DataFrame",failed +tests.integ.modin.frame.test_equals,test_equals_numeric_variants[int8-int16-True],"AssertionError: assert np.False_ == True + + where np.False_ = ( col1\n0 1\n1 3) + + where = col1\n0 1\n1 3.equals + + where col1\n0 1\n1 3 = ( col1\n0 1\n1 3) + + where = pd.DataFrame + + and col1\n0 1\n1 3 = ( col1\n0 1\n1 3) + + where = pd.DataFrame",failed +tests.integ.modin.frame.test_fillna,test_argument_negative,"AssertionError: Regex pattern did not match. + Regex: ""Must specify a fill 'value' or 'method'."" + Input: 'must specify a fill method or value'",failed +tests.integ.modin.frame.test_fillna,test_df_fillna_method_with_type_coercion_casts_all_as_bool_negative,"AssertionError: DataFrame.iloc[:, 1] (column name=""D"") are different + +DataFrame.iloc[:, 1] (column name=""D"") values are different (25.0 %) +[index]: [0, 1, 2, 3] +[left]: [False, 4.0, True, ] +[right]: [False, True, True, None] +At positional index 1, first diff: 4.0 != True",failed +tests.integ.modin.frame.test_fillna,test_df_fillna_method_with_type_coercion_errors_for_variant_column_negative,TODO SNOW-1489309 investigate why it starts to work now on qa,xfailed +tests.integ.modin.frame.test_fillna,test_df_fillna_timestamp_no_numeric_with_nans,"[XPASS(strict)] Pandas will replace the np.nan in a timestamp column with 0, and upcast the dtype",failed +tests.integ.modin.frame.test_fillna,test_value_scalar_diff_type,Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_filter,test_filtering_df_with_other_df_unaligned_index,pandas.errors.IndexingError: Unalignable boolean Series provided as indexer (index of the boolean Series and of the indexed object do not match).,failed +tests.integ.modin.frame.test_filter,test_filtering_with_self_not_implemented[0],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_filter,test_filtering_with_self_not_implemented[1],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_first_last_valid_index,test_first_and_last_valid_multiindex_dataframe[index0],"ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().",failed +tests.integ.modin.frame.test_first_last_valid_index,test_first_and_last_valid_multiindex_dataframe[index1],"ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().",failed +tests.integ.modin.frame.test_first_last_valid_index,test_first_and_last_valid_multiindex_dataframe[index2],"ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().",failed +tests.integ.modin.frame.test_first_last_valid_index,test_first_and_last_valid_multiindex_dataframe[index3],"ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().",failed +tests.integ.modin.frame.test_first_last_valid_index,test_first_and_last_valid_nested_multiindex_series,"ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().",failed +tests.integ.modin.frame.test_first_last_valid_index,test_first_and_last_valid_none_float64_multiindex_dataframe[data0],"ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().",failed +tests.integ.modin.frame.test_first_last_valid_index,test_first_and_last_valid_none_float64_multiindex_dataframe[data1],"ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().",failed +tests.integ.modin.frame.test_getitem,test_df_getitem_with_boolean_list_like[key4],TypeError: unhashable type: 'Index',failed +tests.integ.modin.frame.test_getitem,test_df_getitem_with_boolean_list_like[key5],ValueError: Item wrong length 1 instead of 7.,failed +tests.integ.modin.frame.test_getitem,test_df_getitem_with_boolean_list_like[key6],ValueError: Item wrong length 8 instead of 7.,failed +tests.integ.modin.frame.test_getitem,test_df_getitem_with_boolean_list_like[key7],TypeError: unhashable type: 'Index',failed +tests.integ.modin.frame.test_getitem,test_df_getitem_with_boolean_list_like[key8],ValueError: Item wrong length 0 instead of 7.,failed +tests.integ.modin.frame.test_getitem,test_df_getitem_with_int_list_like[key1],TypeError: unhashable type: 'Index',failed +tests.integ.modin.frame.test_getitem,test_df_getitem_with_string_list_like[key1],TypeError: unhashable type: 'Index',failed +tests.integ.modin.frame.test_head_tail,test_empty_dataframe[-10],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed +tests.integ.modin.frame.test_head_tail,test_empty_dataframe[-1],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed +tests.integ.modin.frame.test_head_tail,test_empty_dataframe[0],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed +tests.integ.modin.frame.test_head_tail,test_empty_dataframe[10],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed +tests.integ.modin.frame.test_head_tail,test_empty_dataframe[1],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed +tests.integ.modin.frame.test_head_tail,test_empty_dataframe[5],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed +tests.integ.modin.frame.test_head_tail,test_empty_dataframe[None],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed +tests.integ.modin.frame.test_head_tail,test_head_tail[-10],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed +tests.integ.modin.frame.test_head_tail,test_head_tail[-1],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed +tests.integ.modin.frame.test_head_tail,test_head_tail[0],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed +tests.integ.modin.frame.test_head_tail,test_head_tail[10],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed +tests.integ.modin.frame.test_head_tail,test_head_tail[1],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed +tests.integ.modin.frame.test_head_tail,test_head_tail[5],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed +tests.integ.modin.frame.test_head_tail,test_head_tail[None],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed +tests.integ.modin.frame.test_iat,test_iat_neg[0-IndexingError],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_iat,test_iat_neg[a-IndexingError],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iat,test_iat_neg[key1-IndexingError],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_iat,test_iat_neg[key10-IndexError],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iat,test_iat_neg[key2-IndexingError],"TypeError: int() argument must be a string, a bytes-like object or a number, not 'dict'",failed +tests.integ.modin.frame.test_iat,test_iat_neg[key4-IndexingError],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_iat,test_iat_neg[key5-IndexingError],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_iat,test_iat_neg[key6-IndexingError],"TypeError: int() argument must be a string, a bytes-like object or a number, not 'dict'",failed +tests.integ.modin.frame.test_iat,test_iat_neg[key7-KeyError],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_iat,test_iat_neg[key8-KeyError],"TypeError: int() argument must be a string, a bytes-like object or a number, not 'dict'",failed +tests.integ.modin.frame.test_iat,test_iat_neg[key9-KeyError],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_iat,test_raise_set_cell_with_list_like_value_error,"ValueError: could not broadcast input array from shape (2,) into shape (1, 1)",failed +tests.integ.modin.frame.test_idxmax_idxmin,test_idxmax_idxmin_crazy_column_names_axis_1[1-idxmax],[XPASS(strict)] Snowpark lit() cannot parse pd.Timestamp,failed +tests.integ.modin.frame.test_idxmax_idxmin,test_idxmax_idxmin_crazy_column_names_axis_1[1-idxmin],[XPASS(strict)] Snowpark lit() cannot parse pd.Timestamp,failed +tests.integ.modin.frame.test_idxmax_idxmin,test_idxmax_idxmin_df[False-0-idxmax-data9-index9],reason: Snowpark pandas returns a Series with None whereas pandas throws a ValueError,xfailed +tests.integ.modin.frame.test_idxmax_idxmin,test_idxmax_idxmin_df[False-0-idxmin-data9-index9],reason: Snowpark pandas returns a Series with None whereas pandas throws a ValueError,xfailed +tests.integ.modin.frame.test_idxmax_idxmin,test_idxmax_idxmin_df[True-0-idxmax-data9-index9],reason: Snowpark pandas returns a Series with None whereas pandas throws a ValueError,xfailed +tests.integ.modin.frame.test_idxmax_idxmin,test_idxmax_idxmin_df[True-0-idxmin-data9-index9],reason: Snowpark pandas returns a Series with None whereas pandas throws a ValueError,xfailed +tests.integ.modin.frame.test_idxmax_idxmin,test_idxmax_idxmin_df_numeric_only_axis_0_different_column_dtypes[False-idxmax-data1-index1],pandas throws TypeError when Snowpark pandas returns result,xfailed +tests.integ.modin.frame.test_idxmax_idxmin,test_idxmax_idxmin_df_numeric_only_axis_0_different_column_dtypes[False-idxmin-data1-index1],pandas throws TypeError when Snowpark pandas returns result,xfailed +tests.integ.modin.frame.test_idxmax_idxmin,test_idxmax_idxmin_empty_df_with_index[1-idxmax],reason: Snowpark pandas returns empty dataframe instead of ValueError,xfailed +tests.integ.modin.frame.test_idxmax_idxmin,test_idxmax_idxmin_empty_df_with_index[1-idxmin],reason: Snowpark pandas returns empty dataframe instead of ValueError,xfailed +tests.integ.modin.frame.test_idxmax_idxmin,test_idxmax_idxmin_multiindex_unsupported[0-idxmax],[XPASS(strict)] ,failed +tests.integ.modin.frame.test_idxmax_idxmin,test_idxmax_idxmin_multiindex_unsupported[0-idxmin],[XPASS(strict)] ,failed +tests.integ.modin.frame.test_idxmax_idxmin,test_idxmax_idxmin_multiindex_unsupported[1-idxmax],[XPASS(strict)] ,failed +tests.integ.modin.frame.test_idxmax_idxmin,test_idxmax_idxmin_multiindex_unsupported[1-idxmin],[XPASS(strict)] ,failed +tests.integ.modin.frame.test_idxmax_idxmin,test_idxmax_idxmin_with_timedelta[1-idxmax],[XPASS(strict)] SNOW-1653126,failed +tests.integ.modin.frame.test_idxmax_idxmin,test_idxmax_idxmin_with_timedelta[1-idxmin],[XPASS(strict)] SNOW-1653126,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_efficient_sql[0],IndexError: list index out of range,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_efficient_sql[1],IndexError: list index out of range,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_efficient_sql[2],IndexError: list index out of range,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_full_set_row_from_series[None-index0],"ValueError: could not broadcast input array from shape (2,) into shape (2, 3)",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_full_set_row_from_series[None-index1],"ValueError: could not broadcast input array from shape (2,) into shape (2, 3)",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_full_set_row_from_series[None-index2],"ValueError: could not broadcast input array from shape (2,) into shape (2, 3)",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_full_set_row_from_series[columns1-index0],"ValueError: could not broadcast input array from shape (2,) into shape (2, 3)",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_full_set_row_from_series[columns1-index1],"ValueError: could not broadcast input array from shape (2,) into shape (2, 3)",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_full_set_row_from_series[columns1-index2],"ValueError: could not broadcast input array from shape (2,) into shape (2, 3)",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_col_input_snowpark_pandas_return_dataframe[Index-2],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_col_input_snowpark_pandas_return_dataframe[Series-2],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_col_input_snowpark_pandas_return_dataframe[emptyFloatSeries-2],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_col_key_out_of_bounds[-1337-0],IndexError: index -1337 is out of bounds for axis 0 with size 7,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_col_key_out_of_bounds[1337-0],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_col_key_out_of_bounds[col_key3-2],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_dataframe[key10-1-2],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_dataframe[key11-1-2],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_dataframe[key12-1-2],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_dataframe[key17-1-0],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_dataframe[key4-1-2],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_dataframe[key9-1-2],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_dataframe_with_range[key0],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_dataframe_with_range[key1],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_dataframe_with_range[key2],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_dataframe_with_range[key3],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_dataframe_with_range[key4],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_dataframe_with_range[key5],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_dataframe_with_range[key6],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_dataframe_with_range[key7],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_dataframe_with_range[key8],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_dataframe_with_range[key9],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_diff2native,"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_empty,IndexError: single positional indexer is out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_invalid_slice_key_negative[col-key0],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_invalid_slice_key_negative[col-key1],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_invalid_slice_key_negative[col-key2],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_invalid_slice_key_negative[row-key0],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_invalid_slice_key_negative[row-key1],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_invalid_slice_key_negative[row-key2],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_bool[col-index with name-key1],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_bool[col-index with name-key5],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_bool[col-index-key1],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_bool[col-index-key5],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_bool[col-list-key1],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_bool[col-list-key5],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_bool[col-ndarray-key0],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_bool[col-ndarray-key1],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_bool[col-ndarray-key5],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_bool[col-series-key1],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_bool[col-series-key5],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_bool[row-index with name-key5],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_bool[row-index-key5],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_bool[row-list-key5],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_bool[row-ndarray-key0],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_bool[row-ndarray-key5],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_bool[row-series-key0],pandas.errors.IndexingError: Unalignable boolean Series provided as indexer (index of the boolean Series and of the indexed object do not match).,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_bool[row-series-key1],pandas.errors.IndexingError: Unalignable boolean Series provided as indexer (index of the boolean Series and of the indexed object do not match).,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_bool[row-series-key2],pandas.errors.IndexingError: Unalignable boolean Series provided as indexer (index of the boolean Series and of the indexed object do not match).,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_bool[row-series-key3],pandas.errors.IndexingError: Unalignable boolean Series provided as indexer (index of the boolean Series and of the indexed object do not match).,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_bool[row-series-key4],pandas.errors.IndexingError: Unalignable boolean Series provided as indexer (index of the boolean Series and of the indexed object do not match).,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_bool[row-series-key5],pandas.errors.IndexingError: Unalignable boolean Series provided as indexer (index of the boolean Series and of the indexed object do not match).,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_bool_series_with_1k_shape[key0],pandas.errors.IndexingError: Unalignable boolean Series provided as indexer (index of the boolean Series and of the indexed object do not match).,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_bool_series_with_1k_shape[key1],pandas.errors.IndexingError: Unalignable boolean Series provided as indexer (index of the boolean Series and of the indexed object do not match).,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_bool_series_with_1k_shape[key2],pandas.errors.IndexingError: Unalignable boolean Series provided as indexer (index of the boolean Series and of the indexed object do not match).,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_int_series_with_1k_shape[key0],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_int_series_with_1k_shape[key1],IndexError: index -1440 is out of bounds for axis 0 with size 1000,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_int_series_with_1k_shape[key2],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_numeric[col-index with name-key1],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_numeric[col-index with name-key2],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_numeric[col-index with name-key3],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_numeric[col-index with name-key4],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_numeric[col-index with name-key5],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_numeric[col-index with name-key6],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_numeric[col-index-key1],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_numeric[col-index-key2],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_numeric[col-index-key3],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_numeric[col-index-key4],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_numeric[col-index-key5],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_numeric[col-index-key6],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_numeric[col-list-key4],IndexError: index 8 is out of bounds for axis 0 with size 7,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_numeric[col-list-key5],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_numeric[col-list-key6],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_numeric[col-ndarray-key0],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_numeric[col-ndarray-key4],IndexError: index 8 is out of bounds for axis 0 with size 7,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_numeric[col-ndarray-key5],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_numeric[col-ndarray-key6],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_numeric[col-series-key0],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_numeric[col-series-key4],IndexError: index 8 is out of bounds for axis 0 with size 7,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_numeric[col-series-key5],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_numeric[col-series-key6],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_numeric[row-index with name-key1],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_numeric[row-index with name-key2],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_numeric[row-index with name-key3],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_numeric[row-index with name-key4],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_numeric[row-index with name-key5],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_numeric[row-index with name-key6],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_numeric[row-index-key1],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_numeric[row-index-key2],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_numeric[row-index-key3],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_numeric[row-index-key4],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_numeric[row-index-key5],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_numeric[row-index-key6],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_numeric[row-list-key4],IndexError: index 8 is out of bounds for axis 0 with size 7,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_numeric[row-list-key5],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_numeric[row-list-key6],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_numeric[row-ndarray-key0],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_numeric[row-ndarray-key4],IndexError: index 8 is out of bounds for axis 0 with size 7,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_numeric[row-ndarray-key5],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_numeric[row-ndarray-key6],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_numeric[row-series-key0],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_numeric[row-series-key4],IndexError: index 8 is out of bounds for axis 0 with size 7,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_numeric[row-series-key5],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_numeric[row-series-key6],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_raises_indexing_error_negative[key0-Too many indexers],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_raises_indexing_error_negative[key2-Too many indexers],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_raises_indexing_error_negative[key3-indexer may only contain one '...' entry],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_raises_not_implemented_error_negative[key0],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_raises_not_implemented_error_negative[key1],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_scalar[col--7],IndexError: index -7 is out of bounds for axis 0 with size 6,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_scalar[col--8],IndexError: index -8 is out of bounds for axis 0 with size 7,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_scalar[col--9028751],IndexError: index -9028751 is out of bounds for axis 0 with size 7,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_scalar[col-52879115],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_scalar[col-6],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_scalar[col-7],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_scalar[row--8],IndexError: index -8 is out of bounds for axis 0 with size 7,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_scalar[row--9028751],IndexError: index -9028751 is out of bounds for axis 0 with size 7,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_scalar[row-52879115],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_scalar[row-7],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_snowpark_df_input_negative[col],"ValueError: Buffer has wrong number of dimensions (expected 1, got 2)",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_snowpark_df_input_negative[row],"ValueError: Buffer has wrong number of dimensions (expected 1, got 2)",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_snowpark_empty_str_series_input_negative[col],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_snowpark_empty_str_series_input_negative[row],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_multiindex_key_negative,"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_native_pd_key_raises_type_error_negative[key0-\\ is\\ not\\ supported\\ as\\ 'value'\\ argument\\.\\ Please\\ convert\\ this\\ to\\ Snowpark\\ pandas\\ objects\\ by\\ calling\\ modin\\.pandas\\.Series\\(\\)/DataFrame\\(\\)-TypeError],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_native_pd_key_raises_type_error_negative[key1-\\ is\\ not\\ supported\\ as\\ 'value'\\ argument\\.\\ Please\\ convert\\ this\\ to\\ Snowpark\\ pandas\\ objects\\ by\\ calling\\ modin\\.pandas\\.Series\\(\\)/DataFrame\\(\\)-TypeError],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,"test_df_iloc_get_native_pd_key_raises_type_error_negative[key2-\\.iloc\\ requires\\ numeric\\ indexers,\\ got\\ \\[Ellipsis,\\ 1\\]-IndexError]","ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_non_numeric_key_categorical_negative,"AssertionError: Regex pattern did not match. + Regex: '\\.iloc\\ requires\\ numeric\\ indexers,\\ got\\ \\[1,\\ 3,\\ 5\\]\\\nCategories\\ \\(3,\\ int64\\):\\ \\[1,\\ 3,\\ 5\\]' + Input: 'positional indexers are out-of-bounds'",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_non_numeric_key_negative[col--3.14],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_non_numeric_key_negative[col-3.142857142857143],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_non_numeric_key_negative[col-False],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_non_numeric_key_negative[col-None],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_non_numeric_key_negative[col-True],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_non_numeric_key_negative[col-key12],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_non_numeric_key_negative[col-key13],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_non_numeric_key_negative[col-key6],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_non_numeric_key_negative[col-key7],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_non_numeric_key_negative[col-key8],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_non_numeric_key_negative[col-key9],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_non_numeric_key_negative[col-nan],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_non_numeric_key_negative[col-string],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_non_numeric_key_negative[col-test],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_non_numeric_key_negative[row--3.14],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_non_numeric_key_negative[row-3.142857142857143],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_non_numeric_key_negative[row-False],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_non_numeric_key_negative[row-None],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_non_numeric_key_negative[row-True],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_non_numeric_key_negative[row-key12],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_non_numeric_key_negative[row-key13],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_non_numeric_key_negative[row-key6],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_non_numeric_key_negative[row-key7],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_non_numeric_key_negative[row-key8],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_non_numeric_key_negative[row-key9],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_non_numeric_key_negative[row-nan],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_non_numeric_key_negative[row-string],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_non_numeric_key_negative[row-test],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_range_deviating_behavior[col-range_key0],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_range_deviating_behavior[col-range_key1],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_range_deviating_behavior[col-range_key2],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_range_deviating_behavior[col-range_key3],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_range_deviating_behavior[row-range_key0],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_range_deviating_behavior[row-range_key1],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_range_deviating_behavior[row-range_key2],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_range_deviating_behavior[row-range_key3],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_row_input_snowpark_pandas_return_dataframe[Index-2],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_row_input_snowpark_pandas_return_dataframe[Series-2],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_row_input_snowpark_pandas_return_dataframe[emptyFloatSeries-2],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False--3--8],IndexError: index -8 is out of bounds for axis 0 with size 7,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False--3--9028751],IndexError: index -9028751 is out of bounds for axis 0 with size 7,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False--3-52879115],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False--3-7],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False--6--8],IndexError: index -8 is out of bounds for axis 0 with size 7,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False--6--9028751],IndexError: index -9028751 is out of bounds for axis 0 with size 7,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False--6-52879115],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False--6-7],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False--7--3],IndexError: index -7 is out of bounds for axis 0 with size 6,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False--7--6],IndexError: index -7 is out of bounds for axis 0 with size 6,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False--7--7],IndexError: index -7 is out of bounds for axis 0 with size 6,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False--7--8],IndexError: index -8 is out of bounds for axis 0 with size 7,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False--7--9028751],IndexError: index -9028751 is out of bounds for axis 0 with size 7,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False--7-0],IndexError: index -7 is out of bounds for axis 0 with size 6,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False--7-4],IndexError: index -7 is out of bounds for axis 0 with size 6,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False--7-52879115],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False--7-6],IndexError: index -7 is out of bounds for axis 0 with size 6,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False--7-7],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False--8--3],IndexError: index -8 is out of bounds for axis 0 with size 7,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False--8--6],IndexError: index -8 is out of bounds for axis 0 with size 7,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False--8--7],IndexError: index -8 is out of bounds for axis 0 with size 7,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False--8--8],IndexError: index -8 is out of bounds for axis 0 with size 7,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False--8--9028751],IndexError: index -9028751 is out of bounds for axis 0 with size 7,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False--8-0],IndexError: index -8 is out of bounds for axis 0 with size 7,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False--8-4],IndexError: index -8 is out of bounds for axis 0 with size 7,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False--8-52879115],IndexError: index -8 is out of bounds for axis 0 with size 7,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False--8-6],IndexError: index -8 is out of bounds for axis 0 with size 7,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False--8-7],IndexError: index -8 is out of bounds for axis 0 with size 7,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False--9028751--3],IndexError: index -9028751 is out of bounds for axis 0 with size 7,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False--9028751--6],IndexError: index -9028751 is out of bounds for axis 0 with size 7,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False--9028751--7],IndexError: index -9028751 is out of bounds for axis 0 with size 7,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False--9028751--8],IndexError: index -8 is out of bounds for axis 0 with size 7,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False--9028751--9028751],IndexError: index -9028751 is out of bounds for axis 0 with size 7,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False--9028751-0],IndexError: index -9028751 is out of bounds for axis 0 with size 7,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False--9028751-4],IndexError: index -9028751 is out of bounds for axis 0 with size 7,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False--9028751-52879115],IndexError: index -9028751 is out of bounds for axis 0 with size 7,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False--9028751-6],IndexError: index -9028751 is out of bounds for axis 0 with size 7,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False--9028751-7],IndexError: index -9028751 is out of bounds for axis 0 with size 7,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False-0--8],IndexError: index -8 is out of bounds for axis 0 with size 7,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False-0--9028751],IndexError: index -9028751 is out of bounds for axis 0 with size 7,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False-0-52879115],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False-0-7],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False-4--8],IndexError: index -8 is out of bounds for axis 0 with size 7,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False-4--9028751],IndexError: index -9028751 is out of bounds for axis 0 with size 7,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False-4-52879115],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False-4-7],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False-52879115--3],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False-52879115--6],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False-52879115--7],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False-52879115--8],IndexError: index -8 is out of bounds for axis 0 with size 7,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False-52879115--9028751],IndexError: index -9028751 is out of bounds for axis 0 with size 7,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False-52879115-0],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False-52879115-4],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False-52879115-52879115],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False-52879115-6],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False-52879115-7],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False-6--3],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False-6--6],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False-6--7],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False-6--8],IndexError: index -8 is out of bounds for axis 0 with size 7,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False-6--9028751],IndexError: index -9028751 is out of bounds for axis 0 with size 7,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False-6-0],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False-6-4],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False-6-52879115],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False-6-6],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False-6-7],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False-7--3],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False-7--6],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False-7--7],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False-7--8],IndexError: index -8 is out of bounds for axis 0 with size 7,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False-7--9028751],IndexError: index -9028751 is out of bounds for axis 0 with size 7,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False-7-0],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False-7-4],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False-7-52879115],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False-7-6],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False-7-7],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True--3--8],IndexError: index -8 is out of bounds for axis 0 with size 7,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True--3--9028751],IndexError: index -9028751 is out of bounds for axis 0 with size 7,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True--3-52879115],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True--3-7],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True--6--8],IndexError: index -8 is out of bounds for axis 0 with size 7,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True--6--9028751],IndexError: index -9028751 is out of bounds for axis 0 with size 7,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True--6-52879115],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True--6-7],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True--7--3],IndexError: index -7 is out of bounds for axis 0 with size 6,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True--7--6],IndexError: index -7 is out of bounds for axis 0 with size 6,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True--7--7],IndexError: index -7 is out of bounds for axis 0 with size 6,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True--7--8],IndexError: index -8 is out of bounds for axis 0 with size 7,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True--7--9028751],IndexError: index -9028751 is out of bounds for axis 0 with size 7,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True--7-0],IndexError: index -7 is out of bounds for axis 0 with size 6,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True--7-4],IndexError: index -7 is out of bounds for axis 0 with size 6,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True--7-52879115],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True--7-6],IndexError: index -7 is out of bounds for axis 0 with size 6,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True--7-7],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True--8--3],IndexError: index -8 is out of bounds for axis 0 with size 7,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True--8--6],IndexError: index -8 is out of bounds for axis 0 with size 7,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True--8--7],IndexError: index -8 is out of bounds for axis 0 with size 7,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True--8--8],IndexError: index -8 is out of bounds for axis 0 with size 7,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True--8--9028751],IndexError: index -9028751 is out of bounds for axis 0 with size 7,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True--8-0],IndexError: index -8 is out of bounds for axis 0 with size 7,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True--8-4],IndexError: index -8 is out of bounds for axis 0 with size 7,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True--8-52879115],IndexError: index -8 is out of bounds for axis 0 with size 7,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True--8-6],IndexError: index -8 is out of bounds for axis 0 with size 7,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True--8-7],IndexError: index -8 is out of bounds for axis 0 with size 7,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True--9028751--3],IndexError: index -9028751 is out of bounds for axis 0 with size 7,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True--9028751--6],IndexError: index -9028751 is out of bounds for axis 0 with size 7,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True--9028751--7],IndexError: index -9028751 is out of bounds for axis 0 with size 7,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True--9028751--8],IndexError: index -8 is out of bounds for axis 0 with size 7,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True--9028751--9028751],IndexError: index -9028751 is out of bounds for axis 0 with size 7,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True--9028751-0],IndexError: index -9028751 is out of bounds for axis 0 with size 7,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True--9028751-4],IndexError: index -9028751 is out of bounds for axis 0 with size 7,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True--9028751-52879115],IndexError: index -9028751 is out of bounds for axis 0 with size 7,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True--9028751-6],IndexError: index -9028751 is out of bounds for axis 0 with size 7,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True--9028751-7],IndexError: index -9028751 is out of bounds for axis 0 with size 7,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True-0--8],IndexError: index -8 is out of bounds for axis 0 with size 7,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True-0--9028751],IndexError: index -9028751 is out of bounds for axis 0 with size 7,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True-0-52879115],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True-0-7],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True-4--8],IndexError: index -8 is out of bounds for axis 0 with size 7,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True-4--9028751],IndexError: index -9028751 is out of bounds for axis 0 with size 7,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True-4-52879115],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True-4-7],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True-52879115--3],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True-52879115--6],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True-52879115--7],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True-52879115--8],IndexError: index -8 is out of bounds for axis 0 with size 7,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True-52879115--9028751],IndexError: index -9028751 is out of bounds for axis 0 with size 7,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True-52879115-0],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True-52879115-4],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True-52879115-52879115],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True-52879115-6],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True-52879115-7],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True-6--3],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True-6--6],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True-6--7],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True-6--8],IndexError: index -8 is out of bounds for axis 0 with size 7,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True-6--9028751],IndexError: index -9028751 is out of bounds for axis 0 with size 7,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True-6-0],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True-6-4],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True-6-52879115],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True-6-6],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True-6-7],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True-7--3],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True-7--6],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True-7--7],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True-7--8],IndexError: index -8 is out of bounds for axis 0 with size 7,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True-7--9028751],IndexError: index -9028751 is out of bounds for axis 0 with size 7,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True-7-0],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True-7-4],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True-7-52879115],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True-7-6],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True-7-7],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_slice_with_non_integer_parameters_negative[col-slice_key0],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_slice_with_non_integer_parameters_negative[col-slice_key1],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_slice_with_non_integer_parameters_negative[col-slice_key2],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_slice_with_non_integer_parameters_negative[row-slice_key0],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_slice_with_non_integer_parameters_negative[row-slice_key1],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_get_slice_with_non_integer_parameters_negative[row-slice_key2],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_scalar_efficient_sql[0],IndexError: list index out of range,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_scalar_efficient_sql[1],IndexError: list index out of range,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_different_incompatible_types[5-123],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_different_incompatible_types[5-99.99],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_different_incompatible_types[5-True],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_different_incompatible_types[5-abc],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_different_incompatible_types[5-item_value4],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_different_incompatible_types[5-item_value5],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_different_incompatible_types[6-123],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_different_incompatible_types[6-99.99],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_different_incompatible_types[6-True],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_different_incompatible_types[6-abc],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_different_incompatible_types[6-item_value4],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_different_incompatible_types[6-item_value5],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_ffill_na_values_negative,"ValueError: could not broadcast input array from shape (2, 2) into shape (3, 2)",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_negative[key1-val1],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_negative[key2-val2],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_row_from_series[index1],"AssertionError: DataFrame.iloc[:, 0] (column name=""A"") are different + +DataFrame.iloc[:, 0] (column name=""A"") values are different (50.0 %) +[index]: [0, 1] +[left]: [1.0, nan] +[right]: [1, 1]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_snowpark_pandas_input_negative_incompatible_types[df_broadcast],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_snowpark_pandas_input_negative_incompatible_types[series],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_snowpark_pandas_input_negative_incompatible_types[series_broadcast],"ValueError: could not broadcast input array from shape (3,) into shape (3, 7)",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_duplicates_2d,"AssertionError: DataFrame.iloc[:, 0] (column name=""A"") are different + +DataFrame.iloc[:, 0] (column name=""A"") values are different (50.0 %) +[index]: [0, 1, 2, 3] +[left]: [nan, nan, 3.0, 4.0] +[right]: [72, 73, 3, 4]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_empty_df[row_key0-col_key0-item0],AssertionError: cannot find the length of the indexer,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_empty_df[row_key1-col_key1-item1],AssertionError: cannot find the length of the indexer,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_empty_df[row_key2-col_key2-item2],AssertionError: cannot find the length of the indexer,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_empty_df[row_key3-col_key3-item3],AssertionError: cannot find the length of the indexer,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_empty_df[row_key4-col_key4-item4],AssertionError: cannot find the length of the indexer,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_empty_df[row_key5-col_key5-item5],AssertionError: cannot find the length of the indexer,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_empty_df[row_key6-col_key6-item6],AssertionError: cannot find the length of the indexer,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_mixed_types_fail[row_key0-col_key0-item0-expected_results0-False],"AssertionError: DataFrame.iloc[:, 0] (column name=""A"") are different + +DataFrame.iloc[:, 0] (column name=""A"") values are different (100.0 %) +[index]: [0, 1, 2, 3] +[left]: [nan, 2.0, 3.0, 4.0] +[right]: [True, True, True, True]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_mixed_types_fail[row_key1-col_key1-item1-None-False],"AssertionError: DataFrame.iloc[:, 1] (column name=""B"") are different + +DataFrame.iloc[:, 1] (column name=""B"") values are different (25.0 %) +[index]: [0, 1, 2, 3] +[left]: [True, , True, False] +[right]: [True, 0, True, False] +At positional index 1, first diff: != 0",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_mixed_types_fail[row_key10-col_key10-item10-expected_results10-False],"AssertionError: DataFrame.iloc[:, 1] (column name=""B"") are different + +DataFrame.iloc[:, 1] (column name=""B"") values are different (50.0 %) +[index]: [0, 1, 2, 3] +[left]: [True, , , False] +[right]: [True, True, False, False]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_mixed_types_fail[row_key2-col_key2-item2-expected_results2-False],"AssertionError: DataFrame.iloc[:, 1] (column name=""B"") are different + +DataFrame.iloc[:, 1] (column name=""B"") values are different (25.0 %) +[index]: [0, 1, 2, 3] +[left]: [True, , True, False] +[right]: [True, True, True, False]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_mixed_types_fail[row_key3-col_key3-item3-None-True],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_mixed_types_fail[row_key4-col_key4-item4-None-True],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_mixed_types_fail[row_key5-col_key5-item5-expected_results5-False],ValueError: Length of values (3) does not match length of index (4),failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_mixed_types_fail[row_key7-col_key7-item7-expected_results7-False],ValueError: Length of values (2) does not match length of index (4),failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_mixed_types_fail[row_key8-col_key8-item8-expected_results8-False],"AssertionError: DataFrame.iloc[:, 3] (column name=""D"") are different + +DataFrame.iloc[:, 3] (column name=""D"") values are different (25.0 %) +[index]: [0, 1, 2, 3] +[left]: [a, b, False, d] +[right]: [a, b, false, d] +At positional index 2, first diff: False != false",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_mixed_types_fail[row_key9-col_key9-item9-None-True],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values1-None-None-3-2-None-1-None],"AssertionError: DataFrame.iloc[:, 2] (column name=""('a', 2)"") are different + +DataFrame.iloc[:, 2] (column name=""('a', 2)"") values are different (20.0 %) +[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] +[left]: [3.0, nan, 98.0, 57.0, -7.0] +[right]: [3, -999, 98, 57, -7]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values1-None-None-3-2-None-row_key1-None],"AssertionError: DataFrame.iloc[:, 2] (column name=""('a', 2)"") are different + +DataFrame.iloc[:, 2] (column name=""('a', 2)"") values are different (40.0 %) +[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] +[left]: [nan, 12.0, 98.0, nan, -7.0] +[right]: [-998, 12, 98, -999, -7]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values1-None-None-3-2-None-row_key2-row_key_index2],"AssertionError: DataFrame.iloc[:, 2] (column name=""('a', 2)"") are different + +DataFrame.iloc[:, 2] (column name=""('a', 2)"") values are different (40.0 %) +[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] +[left]: [3.0, nan, nan, 57.0, -7.0] +[right]: [3, -999, -998, 57, -7]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values1-None-None-3-2-None-row_key3-row_key_index3],"AssertionError: DataFrame.iloc[:, 2] (column name=""('a', 2)"") are different + +DataFrame.iloc[:, 2] (column name=""('a', 2)"") values are different (40.0 %) +[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] +[left]: [3.0, nan, nan, 57.0, -7.0] +[right]: [3, -998, -999, 57, -7]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values1-None-None-3-col_key1-None-1-None],ValueError: buffer source array is read-only,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values1-None-None-3-col_key1-None-row_key1-None],"AssertionError: DataFrame.iloc[:, 1] (column name=""('b', 2)"") are different + +DataFrame.iloc[:, 1] (column name=""('b', 2)"") values are different (40.0 %) +[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] +[left]: [nan, 11.0, 101.0, nan, -6.0] +[right]: [-996, 11, 101, -997, -6]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values1-None-None-3-col_key1-None-row_key2-row_key_index2],"AssertionError: DataFrame.iloc[:, 1] (column name=""('b', 2)"") are different + +DataFrame.iloc[:, 1] (column name=""('b', 2)"") values are different (40.0 %) +[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] +[left]: [2.0, nan, nan, 56.0, -6.0] +[right]: [2, -997, -996, 56, -6]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values1-None-None-3-col_key1-None-row_key3-row_key_index3],"AssertionError: DataFrame.iloc[:, 1] (column name=""('b', 2)"") are different + +DataFrame.iloc[:, 1] (column name=""('b', 2)"") values are different (40.0 %) +[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] +[left]: [2.0, nan, nan, 56.0, -6.0] +[right]: [2, -996, -997, 56, -6]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values1-None-None-3-col_key2-col_key_index2-1-None],ValueError: buffer source array is read-only,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values1-None-None-3-col_key2-col_key_index2-row_key1-None],"AssertionError: DataFrame.iloc[:, 1] (column name=""('b', 2)"") are different + +DataFrame.iloc[:, 1] (column name=""('b', 2)"") values are different (40.0 %) +[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] +[left]: [nan, 11.0, 101.0, nan, -6.0] +[right]: [-998, 11, 101, -999, -6]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values1-None-None-3-col_key2-col_key_index2-row_key2-row_key_index2],"AssertionError: DataFrame.iloc[:, 1] (column name=""('b', 2)"") are different + +DataFrame.iloc[:, 1] (column name=""('b', 2)"") values are different (40.0 %) +[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] +[left]: [2.0, nan, nan, 56.0, -6.0] +[right]: [2, -999, -998, 56, -6]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values1-None-None-3-col_key2-col_key_index2-row_key3-row_key_index3],"AssertionError: DataFrame.iloc[:, 1] (column name=""('b', 2)"") are different + +DataFrame.iloc[:, 1] (column name=""('b', 2)"") values are different (40.0 %) +[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] +[left]: [2.0, nan, nan, 56.0, -6.0] +[right]: [2, -998, -999, 56, -6]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values1-None-None-3-col_key3-col_key_index3-1-None],ValueError: buffer source array is read-only,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values1-None-None-3-col_key3-col_key_index3-row_key1-None],"AssertionError: DataFrame.iloc[:, 1] (column name=""('b', 2)"") are different + +DataFrame.iloc[:, 1] (column name=""('b', 2)"") values are different (40.0 %) +[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] +[left]: [nan, 11.0, 101.0, nan, -6.0] +[right]: [-996, 11, 101, -997, -6]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values1-None-None-3-col_key3-col_key_index3-row_key2-row_key_index2],"AssertionError: DataFrame.iloc[:, 1] (column name=""('b', 2)"") are different + +DataFrame.iloc[:, 1] (column name=""('b', 2)"") values are different (40.0 %) +[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] +[left]: [2.0, nan, nan, 56.0, -6.0] +[right]: [2, -997, -996, 56, -6]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values1-None-None-3-col_key3-col_key_index3-row_key3-row_key_index3],"AssertionError: DataFrame.iloc[:, 1] (column name=""('b', 2)"") are different + +DataFrame.iloc[:, 1] (column name=""('b', 2)"") values are different (40.0 %) +[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] +[left]: [2.0, nan, nan, 56.0, -6.0] +[right]: [2, -996, -997, 56, -6]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values2-item_index2-None-5-2-None-1-None],"AssertionError: DataFrame.iloc[:, 2] (column name=""('a', 2)"") are different + +DataFrame.iloc[:, 2] (column name=""('a', 2)"") values are different (20.0 %) +[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] +[left]: [3.0, nan, 98.0, 57.0, -7.0] +[right]: [3, -999, 98, 57, -7]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values2-item_index2-None-5-2-None-row_key1-None],"AssertionError: DataFrame.iloc[:, 2] (column name=""('a', 2)"") are different + +DataFrame.iloc[:, 2] (column name=""('a', 2)"") values are different (40.0 %) +[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] +[left]: [nan, 12.0, 98.0, nan, -7.0] +[right]: [-998, 12, 98, -999, -7]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values2-item_index2-None-5-2-None-row_key2-row_key_index2],"AssertionError: DataFrame.iloc[:, 2] (column name=""('a', 2)"") are different + +DataFrame.iloc[:, 2] (column name=""('a', 2)"") values are different (40.0 %) +[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] +[left]: [3.0, nan, nan, 57.0, -7.0] +[right]: [3, -999, -998, 57, -7]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values2-item_index2-None-5-2-None-row_key3-row_key_index3],"AssertionError: DataFrame.iloc[:, 2] (column name=""('a', 2)"") are different + +DataFrame.iloc[:, 2] (column name=""('a', 2)"") values are different (40.0 %) +[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] +[left]: [3.0, nan, nan, 57.0, -7.0] +[right]: [3, -998, -999, 57, -7]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values2-item_index2-None-5-col_key1-None-1-None],ValueError: buffer source array is read-only,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values2-item_index2-None-5-col_key1-None-row_key1-None],"AssertionError: DataFrame.iloc[:, 1] (column name=""('b', 2)"") are different + +DataFrame.iloc[:, 1] (column name=""('b', 2)"") values are different (40.0 %) +[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] +[left]: [nan, 11.0, 101.0, nan, -6.0] +[right]: [-996, 11, 101, -997, -6]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values2-item_index2-None-5-col_key1-None-row_key2-row_key_index2],"AssertionError: DataFrame.iloc[:, 1] (column name=""('b', 2)"") are different + +DataFrame.iloc[:, 1] (column name=""('b', 2)"") values are different (40.0 %) +[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] +[left]: [2.0, nan, nan, 56.0, -6.0] +[right]: [2, -997, -996, 56, -6]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values2-item_index2-None-5-col_key1-None-row_key3-row_key_index3],"AssertionError: DataFrame.iloc[:, 1] (column name=""('b', 2)"") are different + +DataFrame.iloc[:, 1] (column name=""('b', 2)"") values are different (40.0 %) +[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] +[left]: [2.0, nan, nan, 56.0, -6.0] +[right]: [2, -996, -997, 56, -6]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values2-item_index2-None-5-col_key2-col_key_index2-1-None],ValueError: buffer source array is read-only,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values2-item_index2-None-5-col_key2-col_key_index2-row_key1-None],"AssertionError: DataFrame.iloc[:, 1] (column name=""('b', 2)"") are different + +DataFrame.iloc[:, 1] (column name=""('b', 2)"") values are different (40.0 %) +[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] +[left]: [nan, 11.0, 101.0, nan, -6.0] +[right]: [-998, 11, 101, -999, -6]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values2-item_index2-None-5-col_key2-col_key_index2-row_key2-row_key_index2],"AssertionError: DataFrame.iloc[:, 1] (column name=""('b', 2)"") are different + +DataFrame.iloc[:, 1] (column name=""('b', 2)"") values are different (40.0 %) +[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] +[left]: [2.0, nan, nan, 56.0, -6.0] +[right]: [2, -999, -998, 56, -6]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values2-item_index2-None-5-col_key2-col_key_index2-row_key3-row_key_index3],"AssertionError: DataFrame.iloc[:, 1] (column name=""('b', 2)"") are different + +DataFrame.iloc[:, 1] (column name=""('b', 2)"") values are different (40.0 %) +[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] +[left]: [2.0, nan, nan, 56.0, -6.0] +[right]: [2, -998, -999, 56, -6]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values2-item_index2-None-5-col_key3-col_key_index3-1-None],ValueError: buffer source array is read-only,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values2-item_index2-None-5-col_key3-col_key_index3-row_key1-None],"AssertionError: DataFrame.iloc[:, 1] (column name=""('b', 2)"") are different + +DataFrame.iloc[:, 1] (column name=""('b', 2)"") values are different (40.0 %) +[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] +[left]: [nan, 11.0, 101.0, nan, -6.0] +[right]: [-996, 11, 101, -997, -6]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values2-item_index2-None-5-col_key3-col_key_index3-row_key2-row_key_index2],"AssertionError: DataFrame.iloc[:, 1] (column name=""('b', 2)"") are different + +DataFrame.iloc[:, 1] (column name=""('b', 2)"") values are different (40.0 %) +[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] +[left]: [2.0, nan, nan, 56.0, -6.0] +[right]: [2, -997, -996, 56, -6]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values2-item_index2-None-5-col_key3-col_key_index3-row_key3-row_key_index3],"AssertionError: DataFrame.iloc[:, 1] (column name=""('b', 2)"") are different + +DataFrame.iloc[:, 1] (column name=""('b', 2)"") values are different (40.0 %) +[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] +[left]: [2.0, nan, nan, 56.0, -6.0] +[right]: [2, -996, -997, 56, -6]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values3-item_index3-item_columns3-5-2-None-1-None],"AssertionError: DataFrame.iloc[:, 2] (column name=""('a', 2)"") are different + +DataFrame.iloc[:, 2] (column name=""('a', 2)"") values are different (20.0 %) +[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] +[left]: [3.0, nan, 98.0, 57.0, -7.0] +[right]: [3, -999, 98, 57, -7]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values3-item_index3-item_columns3-5-2-None-row_key1-None],"AssertionError: DataFrame.iloc[:, 2] (column name=""('a', 2)"") are different + +DataFrame.iloc[:, 2] (column name=""('a', 2)"") values are different (40.0 %) +[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] +[left]: [nan, 12.0, 98.0, nan, -7.0] +[right]: [-998, 12, 98, -999, -7]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values3-item_index3-item_columns3-5-2-None-row_key2-row_key_index2],"AssertionError: DataFrame.iloc[:, 2] (column name=""('a', 2)"") are different + +DataFrame.iloc[:, 2] (column name=""('a', 2)"") values are different (40.0 %) +[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] +[left]: [3.0, nan, nan, 57.0, -7.0] +[right]: [3, -999, -998, 57, -7]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values3-item_index3-item_columns3-5-2-None-row_key3-row_key_index3],"AssertionError: DataFrame.iloc[:, 2] (column name=""('a', 2)"") are different + +DataFrame.iloc[:, 2] (column name=""('a', 2)"") values are different (40.0 %) +[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] +[left]: [3.0, nan, nan, 57.0, -7.0] +[right]: [3, -998, -999, 57, -7]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values3-item_index3-item_columns3-5-col_key1-None-1-None],ValueError: buffer source array is read-only,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values3-item_index3-item_columns3-5-col_key1-None-row_key1-None],"AssertionError: DataFrame.iloc[:, 1] (column name=""('b', 2)"") are different + +DataFrame.iloc[:, 1] (column name=""('b', 2)"") values are different (40.0 %) +[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] +[left]: [nan, 11.0, 101.0, nan, -6.0] +[right]: [-996, 11, 101, -997, -6]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values3-item_index3-item_columns3-5-col_key1-None-row_key2-row_key_index2],"AssertionError: DataFrame.iloc[:, 1] (column name=""('b', 2)"") are different + +DataFrame.iloc[:, 1] (column name=""('b', 2)"") values are different (40.0 %) +[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] +[left]: [2.0, nan, nan, 56.0, -6.0] +[right]: [2, -997, -996, 56, -6]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values3-item_index3-item_columns3-5-col_key1-None-row_key3-row_key_index3],"AssertionError: DataFrame.iloc[:, 1] (column name=""('b', 2)"") are different + +DataFrame.iloc[:, 1] (column name=""('b', 2)"") values are different (40.0 %) +[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] +[left]: [2.0, nan, nan, 56.0, -6.0] +[right]: [2, -996, -997, 56, -6]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values3-item_index3-item_columns3-5-col_key2-col_key_index2-1-None],ValueError: buffer source array is read-only,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values3-item_index3-item_columns3-5-col_key2-col_key_index2-row_key1-None],"AssertionError: DataFrame.iloc[:, 1] (column name=""('b', 2)"") are different + +DataFrame.iloc[:, 1] (column name=""('b', 2)"") values are different (40.0 %) +[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] +[left]: [nan, 11.0, 101.0, nan, -6.0] +[right]: [-998, 11, 101, -999, -6]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values3-item_index3-item_columns3-5-col_key2-col_key_index2-row_key2-row_key_index2],"AssertionError: DataFrame.iloc[:, 1] (column name=""('b', 2)"") are different + +DataFrame.iloc[:, 1] (column name=""('b', 2)"") values are different (40.0 %) +[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] +[left]: [2.0, nan, nan, 56.0, -6.0] +[right]: [2, -999, -998, 56, -6]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values3-item_index3-item_columns3-5-col_key2-col_key_index2-row_key3-row_key_index3],"AssertionError: DataFrame.iloc[:, 1] (column name=""('b', 2)"") are different + +DataFrame.iloc[:, 1] (column name=""('b', 2)"") values are different (40.0 %) +[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] +[left]: [2.0, nan, nan, 56.0, -6.0] +[right]: [2, -998, -999, 56, -6]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values3-item_index3-item_columns3-5-col_key3-col_key_index3-1-None],ValueError: buffer source array is read-only,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values3-item_index3-item_columns3-5-col_key3-col_key_index3-row_key1-None],"AssertionError: DataFrame.iloc[:, 1] (column name=""('b', 2)"") are different + +DataFrame.iloc[:, 1] (column name=""('b', 2)"") values are different (40.0 %) +[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] +[left]: [nan, 11.0, 101.0, nan, -6.0] +[right]: [-996, 11, 101, -997, -6]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values3-item_index3-item_columns3-5-col_key3-col_key_index3-row_key2-row_key_index2],"AssertionError: DataFrame.iloc[:, 1] (column name=""('b', 2)"") are different + +DataFrame.iloc[:, 1] (column name=""('b', 2)"") values are different (40.0 %) +[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] +[left]: [2.0, nan, nan, 56.0, -6.0] +[right]: [2, -997, -996, 56, -6]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values3-item_index3-item_columns3-5-col_key3-col_key_index3-row_key3-row_key_index3],"AssertionError: DataFrame.iloc[:, 1] (column name=""('b', 2)"") are different + +DataFrame.iloc[:, 1] (column name=""('b', 2)"") values are different (40.0 %) +[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] +[left]: [2.0, nan, nan, 56.0, -6.0] +[right]: [2, -996, -997, 56, -6]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values4-None-item_columns4-3-2-None-1-None],"AssertionError: DataFrame.iloc[:, 2] (column name=""('a', 2)"") are different + +DataFrame.iloc[:, 2] (column name=""('a', 2)"") values are different (20.0 %) +[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] +[left]: [3.0, nan, 98.0, 57.0, -7.0] +[right]: [3, -999, 98, 57, -7]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values4-None-item_columns4-3-2-None-row_key1-None],"AssertionError: DataFrame.iloc[:, 2] (column name=""('a', 2)"") are different + +DataFrame.iloc[:, 2] (column name=""('a', 2)"") values are different (40.0 %) +[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] +[left]: [nan, 12.0, 98.0, nan, -7.0] +[right]: [-998, 12, 98, -999, -7]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values4-None-item_columns4-3-2-None-row_key2-row_key_index2],"AssertionError: DataFrame.iloc[:, 2] (column name=""('a', 2)"") are different + +DataFrame.iloc[:, 2] (column name=""('a', 2)"") values are different (40.0 %) +[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] +[left]: [3.0, nan, nan, 57.0, -7.0] +[right]: [3, -999, -998, 57, -7]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values4-None-item_columns4-3-2-None-row_key3-row_key_index3],"AssertionError: DataFrame.iloc[:, 2] (column name=""('a', 2)"") are different + +DataFrame.iloc[:, 2] (column name=""('a', 2)"") values are different (40.0 %) +[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] +[left]: [3.0, nan, nan, 57.0, -7.0] +[right]: [3, -998, -999, 57, -7]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values4-None-item_columns4-3-col_key1-None-1-None],ValueError: buffer source array is read-only,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values4-None-item_columns4-3-col_key1-None-row_key1-None],"AssertionError: DataFrame.iloc[:, 1] (column name=""('b', 2)"") are different + +DataFrame.iloc[:, 1] (column name=""('b', 2)"") values are different (40.0 %) +[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] +[left]: [nan, 11.0, 101.0, nan, -6.0] +[right]: [-996, 11, 101, -997, -6]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values4-None-item_columns4-3-col_key1-None-row_key2-row_key_index2],"AssertionError: DataFrame.iloc[:, 1] (column name=""('b', 2)"") are different + +DataFrame.iloc[:, 1] (column name=""('b', 2)"") values are different (40.0 %) +[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] +[left]: [2.0, nan, nan, 56.0, -6.0] +[right]: [2, -997, -996, 56, -6]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values4-None-item_columns4-3-col_key1-None-row_key3-row_key_index3],"AssertionError: DataFrame.iloc[:, 1] (column name=""('b', 2)"") are different + +DataFrame.iloc[:, 1] (column name=""('b', 2)"") values are different (40.0 %) +[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] +[left]: [2.0, nan, nan, 56.0, -6.0] +[right]: [2, -996, -997, 56, -6]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values4-None-item_columns4-3-col_key2-col_key_index2-1-None],ValueError: buffer source array is read-only,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values4-None-item_columns4-3-col_key2-col_key_index2-row_key1-None],"AssertionError: DataFrame.iloc[:, 1] (column name=""('b', 2)"") are different + +DataFrame.iloc[:, 1] (column name=""('b', 2)"") values are different (40.0 %) +[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] +[left]: [nan, 11.0, 101.0, nan, -6.0] +[right]: [-998, 11, 101, -999, -6]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values4-None-item_columns4-3-col_key2-col_key_index2-row_key2-row_key_index2],"AssertionError: DataFrame.iloc[:, 1] (column name=""('b', 2)"") are different + +DataFrame.iloc[:, 1] (column name=""('b', 2)"") values are different (40.0 %) +[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] +[left]: [2.0, nan, nan, 56.0, -6.0] +[right]: [2, -999, -998, 56, -6]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values4-None-item_columns4-3-col_key2-col_key_index2-row_key3-row_key_index3],"AssertionError: DataFrame.iloc[:, 1] (column name=""('b', 2)"") are different + +DataFrame.iloc[:, 1] (column name=""('b', 2)"") values are different (40.0 %) +[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] +[left]: [2.0, nan, nan, 56.0, -6.0] +[right]: [2, -998, -999, 56, -6]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values4-None-item_columns4-3-col_key3-col_key_index3-1-None],ValueError: buffer source array is read-only,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values4-None-item_columns4-3-col_key3-col_key_index3-row_key1-None],"AssertionError: DataFrame.iloc[:, 1] (column name=""('b', 2)"") are different + +DataFrame.iloc[:, 1] (column name=""('b', 2)"") values are different (40.0 %) +[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] +[left]: [nan, 11.0, 101.0, nan, -6.0] +[right]: [-996, 11, 101, -997, -6]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values4-None-item_columns4-3-col_key3-col_key_index3-row_key2-row_key_index2],"AssertionError: DataFrame.iloc[:, 1] (column name=""('b', 2)"") are different + +DataFrame.iloc[:, 1] (column name=""('b', 2)"") values are different (40.0 %) +[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] +[left]: [2.0, nan, nan, 56.0, -6.0] +[right]: [2, -997, -996, 56, -6]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_multiindex[item_values4-None-item_columns4-3-col_key3-col_key_index3-row_key3-row_key_index3],"AssertionError: DataFrame.iloc[:, 1] (column name=""('b', 2)"") are different + +DataFrame.iloc[:, 1] (column name=""('b', 2)"") values are different (40.0 %) +[index]: [(x, 99), (y, 11), (x, 11), (y, 99), (z, -12)] +[left]: [2.0, nan, nan, 56.0, -6.0] +[right]: [2, -996, -997, 56, -6]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_none_df[row_key0-col_key0-item0],"AssertionError: DataFrame.iloc[:, 0] (column name=""0"") are different + +DataFrame.iloc[:, 0] (column name=""0"") values are different (100.0 %) +[index]: [0, 1] +[left]: [11, 33] +[right]: [33, 11]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_none_df[row_key1-col_key1-item1],ValueError: Length of values (1) does not match length of index (2),failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_none_df[row_key3-col_key3-item3],"AssertionError: DataFrame.iloc[:, 1] (column name=""1"") are different + +DataFrame.iloc[:, 1] (column name=""1"") values are different (50.0 %) +[index]: [0, 1] +[left]: [, ] +[right]: [None, 99] +At positional index 1, first diff: != 99",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_df_col_df_key_set_coordinates[row_pos0-df-col_pos0-df],"ValueError: Buffer has wrong number of dimensions (expected 1, got 2)",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_df_col_df_key_set_coordinates[row_pos1-df-col_pos1-df],"ValueError: Buffer has wrong number of dimensions (expected 1, got 2)",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_df_col_df_key_set_coordinates[row_pos2-df-col_pos2-df],"ValueError: Buffer has wrong number of dimensions (expected 1, got 2)",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_df_col_df_key_set_coordinates[row_pos3-df-col_pos3-tuple],"ValueError: Buffer has wrong number of dimensions (expected 1, got 2)",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_df_col_df_key_set_coordinates[row_pos4-df-col_pos4-na],"ValueError: Buffer has wrong number of dimensions (expected 1, got 2)",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_df_col_df_key_set_coordinates[row_pos5-tuple-col_pos5-df],"ValueError: Buffer has wrong number of dimensions (expected 1, got 2)",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_df_col_df_key_set_coordinates[row_pos6-na-col_pos6-df],"ValueError: Buffer has wrong number of dimensions (expected 1, got 2)",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_key_constant_float_keys_negative[0-na-2.5-na],AssertionError: exception type does not match with expected type ,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_key_constant_float_keys_negative[0-na-nan-na],AssertionError: exception type does not match with expected type ,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_key_constant_float_keys_negative[1.2-na-0-na],AssertionError: exception type does not match with expected type ,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_key_constant_float_keys_negative[nan-na-2-na],AssertionError: exception type does not match with expected type ,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_key_constant_float_keys_negative[row_pos10-na-col_pos10-na],AssertionError: exception type does not match with expected type ,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_key_constant_float_keys_negative[row_pos11-na-col_pos11-na],AssertionError: exception type does not match with expected type ,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_key_constant_float_keys_negative[row_pos12-na-col_pos12-na],AssertionError: exception type does not match with expected type ,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_key_constant_float_keys_negative[row_pos4-na-col_pos4-na],AssertionError: exception type does not match with expected type ,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_key_constant_float_keys_negative[row_pos5-tuple-col_pos5-na],AssertionError: exception type does not match with expected type ,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_key_constant_float_keys_negative[row_pos6-series-col_pos6-na],AssertionError: exception type does not match with expected type ,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_key_constant_float_keys_negative[row_pos7-na-col_pos7-na],AssertionError: exception type does not match with expected type ,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_key_constant_float_keys_negative[row_pos8-na-col_pos8-tuple],AssertionError: exception type does not match with expected type ,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_key_constant_float_keys_negative[row_pos9-na-col_pos9-series],AssertionError: exception type does not match with expected type ,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_key_series_empty_keys[item0-row_key1-col_key1],"ValueError: could not broadcast input array from shape (2,) into shape (2, 0)",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_key_series_empty_keys[item1-row_key1-col_key1],"ValueError: could not broadcast input array from shape (2,) into shape (2, 0)",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_key_series_float_keys[row_pos0-col_pos0],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_key_series_float_keys[row_pos1-col_pos1],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_key_series_float_keys[row_pos2-col_pos2],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_key_series_float_keys[row_pos3-col_pos3],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_key_series_float_keys[row_pos4-col_pos4],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_key_series_float_keys[row_pos5-col_pos5],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_key_series_out_of_bounds_keys[row_key0-col_key0],IndexError: index -5 is out of bounds for axis 0 with size 4,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_key_series_out_of_bounds_keys[row_key1-col_key1],IndexError: index 8 is out of bounds for axis 0 with size 4,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_key_series_out_of_bounds_keys[row_key2-col_key2],IndexError: index 6 is out of bounds for axis 0 with size 4,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_key_series_out_of_bounds_keys[row_key3-col_key3],IndexError: index -10 is out of bounds for axis 0 with size 4,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_key_series_rhs_dataframe_mismatch_pandas[row_pos0-col_pos0-snow_item0-native_item0],"AssertionError: DataFrame.iloc[:, 0] (column name=""A"") are different + +DataFrame.iloc[:, 0] (column name=""A"") values are different (75.0 %) +[index]: [0, 1, 2, 3] +[left]: [nan, nan, 11.0, nan] +[right]: [95, 92, 11, 98]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_key_series_rhs_dataframe_mismatch_pandas[row_pos2-col_pos2-snow_item2-native_item2],"AssertionError: DataFrame.iloc[:, 0] (column name=""A"") are different + +DataFrame.iloc[:, 0] (column name=""A"") values are different (75.0 %) +[index]: [0, 1, 2, 3] +[left]: [5.0, nan, nan, nan] +[right]: [5, 92, 95, 95]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_key_series_rhs_dataframe_mismatch_pandas[row_pos3-col_pos3-snow_item3-native_item3],"AssertionError: DataFrame.iloc[:, 0] (column name=""A"") are different + +DataFrame.iloc[:, 0] (column name=""A"") values are different (75.0 %) +[index]: [0, 1, 2, 3] +[left]: [5.0, nan, nan, nan] +[right]: [5, 95, 98, 92]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_key_series_rhs_dataframe_mismatch_pandas[row_pos4-col_pos4-snow_item4-native_item4],"AssertionError: DataFrame.iloc[:, 0] (column name=""A"") are different + +DataFrame.iloc[:, 0] (column name=""A"") values are different (100.0 %) +[index]: [0, 1, 2, 3] +[left]: [nan, nan, nan, nan] +[right]: [91, 92, 93, 93]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_key_series_rhs_dataframe_mismatch_pandas[row_pos5-col_pos5-snow_item5-native_item5],"AssertionError: DataFrame.iloc[:, 0] (column name=""A"") are different + +DataFrame.iloc[:, 0] (column name=""A"") values are different (50.0 %) +[index]: [0, 1, 2, 3] +[left]: [nan, nan, 11.0, 14.0] +[right]: [91, 92, 11, 14]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_key_series_rhs_dataframe_mismatch_pandas[row_pos6-col_pos6-snow_item6-native_item6],"AssertionError: DataFrame.iloc[:, 0] (column name=""A"") are different + +DataFrame.iloc[:, 0] (column name=""A"") values are different (50.0 %) +[index]: [0, 1, 2, 3] +[left]: [nan, 8.0, nan, 14.0] +[right]: [91, 8, 92, 14]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_key_series_rhs_dataframe_mismatch_pandas[row_pos7-col_pos7-snow_item7-native_item7],IndexError: index 4 is out of bounds for axis 0 with size 4,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_key_series_rhs_dataframe_mismatch_pandas[row_pos8-col_pos8-snow_item8-native_item8],"AssertionError: DataFrame.iloc[:, 0] (column name=""A"") are different + +DataFrame.iloc[:, 0] (column name=""A"") values are different (75.0 %) +[index]: [0, 1, 2, 3] +[left]: [5.0, nan, nan, nan] +[right]: [5, 8, 11, 14]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_key_series_rhs_scalar[row_pos17-col_pos17-item_value17],ValueError: setting an array element with a sequence.,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_tuple_key_list[123-row_pos0-col_pos0],"AssertionError: DataFrame.iloc[:, 2] (column name=""C"") are different + +DataFrame.iloc[:, 2] (column name=""C"") values are different (25.0 %) +[index]: [0, 1, 2, 3] +[left]: [7, 10, 123, 123] +[right]: [7, 10, 123, 16]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_tuple_key_list[123-row_pos1-col_pos1],"AssertionError: DataFrame.iloc[:, 1] (column name=""B"") are different + +DataFrame.iloc[:, 1] (column name=""B"") values are different (50.0 %) +[index]: [0, 1, 2, 3] +[left]: [6, 123, 123, 123] +[right]: [6, 123, 12, 15]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_tuple_key_list[123-row_pos2-col_pos2],"AssertionError: DataFrame.iloc[:, 0] (column name=""A"") are different + +DataFrame.iloc[:, 0] (column name=""A"") values are different (50.0 %) +[index]: [0, 1, 2, 3] +[left]: [5, 123, 123, 123] +[right]: [5, 123, 11, 14]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_tuple_key_list[123-row_pos3-col_pos3],"AssertionError: DataFrame.iloc[:, 1] (column name=""B"") are different + +DataFrame.iloc[:, 1] (column name=""B"") values are different (50.0 %) +[index]: [0, 1, 2, 3] +[left]: [6, 123, 123, 123] +[right]: [6, 9, 12, 123]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_tuple_key_list[123-row_pos4-col_pos4],"AssertionError: DataFrame.iloc[:, 0] (column name=""A"") are different + +DataFrame.iloc[:, 0] (column name=""A"") values are different (50.0 %) +[index]: [0, 1, 2, 3] +[left]: [123, 8, 123, 123] +[right]: [5, 8, 123, 14]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_tuple_key_list[123-row_pos5-col_pos5],"AssertionError: DataFrame.iloc[:, 1] (column name=""B"") are different + +DataFrame.iloc[:, 1] (column name=""B"") values are different (50.0 %) +[index]: [0, 1, 2, 3] +[left]: [123, 9, 123, 123] +[right]: [123, 9, 12, 15]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_tuple_key_list[item_values0-row_pos0-col_pos0],"AssertionError: DataFrame.iloc[:, 2] (column name=""C"") are different + +DataFrame.iloc[:, 2] (column name=""C"") values are different (25.0 %) +[index]: [0, 1, 2, 3] +[left]: [7, 10, 100, 100] +[right]: [7, 10, 100, 16]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_tuple_key_list[item_values0-row_pos1-col_pos1],"AssertionError: DataFrame.iloc[:, 1] (column name=""B"") are different + +DataFrame.iloc[:, 1] (column name=""B"") values are different (50.0 %) +[index]: [0, 1, 2, 3] +[left]: [6, 99, 99, 99] +[right]: [6, 99, 12, 15]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_tuple_key_list[item_values0-row_pos2-col_pos2],"AssertionError: DataFrame.iloc[:, 0] (column name=""A"") are different + +DataFrame.iloc[:, 0] (column name=""A"") values are different (50.0 %) +[index]: [0, 1, 2, 3] +[left]: [5, 101, 101, 101] +[right]: [5, 101, 11, 14]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_tuple_key_list[item_values0-row_pos3-col_pos3],"AssertionError: DataFrame.iloc[:, 1] (column name=""B"") are different + +DataFrame.iloc[:, 1] (column name=""B"") values are different (50.0 %) +[index]: [0, 1, 2, 3] +[left]: [6, 99, 99, 99] +[right]: [6, 9, 12, 99]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_tuple_key_list[item_values0-row_pos4-col_pos4],"AssertionError: DataFrame.iloc[:, 0] (column name=""A"") are different + +DataFrame.iloc[:, 0] (column name=""A"") values are different (50.0 %) +[index]: [0, 1, 2, 3] +[left]: [100, 8, 100, 100] +[right]: [5, 8, 100, 14]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_tuple_key_list[item_values0-row_pos5-col_pos5],"AssertionError: DataFrame.iloc[:, 1] (column name=""B"") are different + +DataFrame.iloc[:, 1] (column name=""B"") values are different (50.0 %) +[index]: [0, 1, 2, 3] +[left]: [101, 9, 101, 101] +[right]: [101, 9, 12, 15]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_tuple_key_list_different_behavior[row_pos0-col_pos0-91-native_item0],"AssertionError: DataFrame.iloc[:, 2] (column name=""C"") are different + +DataFrame.iloc[:, 2] (column name=""C"") values are different (25.0 %) +[index]: [0, 1, 2, 3] +[left]: [7, 10, 13, 91] +[right]: [7, 10, 13, 16]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_row_tuple_key_list_different_behavior[row_pos1-col_pos1-item_values1-native_item1],"AssertionError: DataFrame.iloc[:, 2] (column name=""C"") are different + +DataFrame.iloc[:, 2] (column name=""C"") values are different (25.0 %) +[index]: [0, 1, 2, 3] +[left]: [7, 10, 13, 92] +[right]: [7, 10, 13, 16]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_series_row_key_df_item_match_pandas[row_pos0-col_pos0-item_values0],"AssertionError: DataFrame.iloc[:, 0] (column name=""A"") are different + +DataFrame.iloc[:, 0] (column name=""A"") values are different (75.0 %) +[index]: [0, 1, 2, 3] +[left]: [5.0, nan, nan, nan] +[right]: [5, 91, 92, 93]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_series_row_key_df_item_match_pandas[row_pos1-col_pos1-item_values1],"AssertionError: DataFrame.iloc[:, 0] (column name=""A"") are different + +DataFrame.iloc[:, 0] (column name=""A"") values are different (75.0 %) +[index]: [0, 1, 2, 3] +[left]: [5.0, nan, nan, nan] +[right]: [5, 93, 92, 91]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_series_row_key_df_item_match_pandas[row_pos10-col_pos10-item_values10],"AssertionError: DataFrame.iloc[:, 1] (column name=""B"") are different + +DataFrame.iloc[:, 1] (column name=""B"") values are different (50.0 %) +[index]: [0, 1, 2, 3] +[left]: [6.0, nan, nan, 15.0] +[right]: [6, 91, 93, 15]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_series_row_key_df_item_match_pandas[row_pos11-col_pos11-item_values11],"AssertionError: DataFrame.iloc[:, 1] (column name=""B"") are different + +DataFrame.iloc[:, 1] (column name=""B"") values are different (50.0 %) +[index]: [0, 1, 2, 3] +[left]: [nan, 9.0, nan, 15.0] +[right]: [94, 9, 92, 15]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_series_row_key_df_item_match_pandas[row_pos12-col_pos12-item_values12],"AssertionError: DataFrame.iloc[:, 2] (column name=""C"") are different + +DataFrame.iloc[:, 2] (column name=""C"") values are different (100.0 %) +[index]: [0, 1, 2, 3] +[left]: [nan, nan, nan, nan] +[right]: [93, 91, 92, 94]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_series_row_key_df_item_match_pandas[row_pos13-col_pos13-item_values13],"AssertionError: DataFrame.iloc[:, 1] (column name=""B"") are different + +DataFrame.iloc[:, 1] (column name=""B"") values are different (50.0 %) +[index]: [0, 1, 2, 3] +[left]: [6.0, nan, nan, 15.0] +[right]: [6, 99, 101, 15]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_series_row_key_df_item_match_pandas[row_pos14-col_pos14-item_values14],"AssertionError: DataFrame.iloc[:, 1] (column name=""B"") are different + +DataFrame.iloc[:, 1] (column name=""B"") values are different (50.0 %) +[index]: [0, 1, 2, 3] +[left]: [6.0, nan, nan, 15.0] +[right]: [6, 99, 101, 15]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_series_row_key_df_item_match_pandas[row_pos15-col_pos15-item_values15],"AssertionError: DataFrame.iloc[:, 0] (column name=""A"") are different + +DataFrame.iloc[:, 0] (column name=""A"") values are different (25.0 %) +[index]: [0, 1, 2, 3] +[left]: [5.0, nan, 11.0, 14.0] +[right]: [5, 99, 11, 14]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_series_row_key_df_item_match_pandas[row_pos2-col_pos2-item_values2],"AssertionError: DataFrame.iloc[:, 1] (column name=""B"") are different + +DataFrame.iloc[:, 1] (column name=""B"") values are different (75.0 %) +[index]: [0, 1, 2, 3] +[left]: [nan, nan, 12.0, nan] +[right]: [95, 92, 12, 98]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_series_row_key_df_item_match_pandas[row_pos3-col_pos3-item_values3],"AssertionError: DataFrame.iloc[:, 0] (column name=""A"") are different + +DataFrame.iloc[:, 0] (column name=""A"") values are different (50.0 %) +[index]: [0, 1, 2, 3] +[left]: [nan, 8.0, nan, nan] +[right]: [92.0, 8.0, 98.0, nan] +At positional index 0, first diff: nan != 92.0",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_series_row_key_df_item_match_pandas[row_pos4-col_pos4-item_values4],"AssertionError: DataFrame.iloc[:, 0] (column name=""A"") are different + +DataFrame.iloc[:, 0] (column name=""A"") values are different (75.0 %) +[index]: [0, 1, 2, 3] +[left]: [5.0, nan, nan, nan] +[right]: [5, 91, 91, 91]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_series_row_key_df_item_match_pandas[row_pos5-col_pos5-item_values5],"AssertionError: DataFrame.iloc[:, 0] (column name=""A"") are different + +DataFrame.iloc[:, 0] (column name=""A"") values are different (75.0 %) +[index]: [0, 1, 2, 3] +[left]: [5.0, nan, nan, nan] +[right]: [5, 91, 92, 93]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_series_row_key_df_item_match_pandas[row_pos7-col_pos7-item_values7],"AssertionError: DataFrame.iloc[:, 1] (column name=""B"") are different + +DataFrame.iloc[:, 1] (column name=""B"") values are different (75.0 %) +[index]: [0, 1, 2, 3] +[left]: [nan, nan, nan, 15.0] +[right]: [93, 91, 92, 15]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_series_row_key_df_item_match_pandas[row_pos8-col_pos8-item_values8],"AssertionError: DataFrame.iloc[:, 0] (column name=""A"") are different + +DataFrame.iloc[:, 0] (column name=""A"") values are different (75.0 %) +[index]: [0, 1, 2, 3] +[left]: [5.0, nan, nan, nan] +[right]: [5, 93, 93, 93]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_series_row_key_df_item_match_pandas[row_pos9-col_pos9-item_values9],"AssertionError: DataFrame.iloc[:, 1] (column name=""B"") are different + +DataFrame.iloc[:, 1] (column name=""B"") values are different (75.0 %) +[index]: [0, 1, 2, 3] +[left]: [6.0, nan, nan, nan] +[right]: [6, 91, 92, 93]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_types_df[row_key0-col_key0-item0],"AssertionError: DataFrame.iloc[:, 0] (column name=""A"") are different + +DataFrame.iloc[:, 0] (column name=""A"") values are different (25.0 %) +[index]: [0, 1, 2, 3] +[left]: [nan, 2.0, 3.0, 4.0] +[right]: [99, 2, 3, 4]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_types_df[row_key1-col_key1-item1],"AssertionError: DataFrame.iloc[:, 1] (column name=""B"") are different + +DataFrame.iloc[:, 1] (column name=""B"") values are different (25.0 %) +[index]: [0, 1, 2, 3] +[left]: [True, , True, False] +[right]: [True, True, True, False]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_types_df[row_key10-col_key10-item10],"AssertionError: DataFrame.iloc[:, 1] (column name=""B"") are different + +DataFrame.iloc[:, 1] (column name=""B"") values are different (50.0 %) +[index]: [0, 1, 2, 3] +[left]: [True, , , False] +[right]: [True, True, False, False]",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_types_df[row_key2-col_key2-item2],"AssertionError: DataFrame.iloc[:, 2] (column name=""C"") are different + +DataFrame.iloc[:, 2] (column name=""C"") values are different (25.0 %) +[index]: [0, 1, 2, 3] +[left]: [1.5, 3.14159, nan, 123.45] +[right]: [1.5, 3.14159, 101.101, 123.45] +At positional index 2, first diff: nan != 101.101",failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_types_df[row_key3-col_key3-item3],TypeError: boolean value of NA is ambiguous,failed +tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_types_df[row_key9-col_key9-item9],"AssertionError: DataFrame.iloc[:, 0] (column name=""A"") are different + +DataFrame.iloc[:, 0] (column name=""A"") values are different (100.0 %) +[index]: [0, 1, 2, 3] +[left]: [nan, nan, nan, nan] +[right]: [99, 99, 99, 99]",failed +tests.integ.modin.frame.test_iloc,test_df_row_return_dataframe[key0-1-2],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_row_return_dataframe[key10-1-2],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_row_return_dataframe[key11-1-2],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_row_return_dataframe[key12-1-2],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_row_return_dataframe[key13-1-2],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_row_return_dataframe[key18-1-0],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_df_row_return_dataframe[key5-1-2],"ValueError: +Location based indexing can only have [integer, integer slice (START point is +INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed +tests.integ.modin.frame.test_iloc,test_raise_set_cell_with_list_like_value_error,"ValueError: could not broadcast input array from shape (2,) into shape (1, 1)",failed +tests.integ.modin.frame.test_info,test_info_SNOW_962607,"AssertionError: assert 'SnowflakeIndex' in 'RangeIndex: 3 entries, 0 to 2'",failed +tests.integ.modin.frame.test_info,test_info_counts_false,TypeError: got an unexpected keyword argument 'null_counts',failed +tests.integ.modin.frame.test_info,test_info_counts_true,"AssertionError: assert 'SnowflakeIndex' in 'RangeIndex: 3 entries, 0 to 2'",failed +tests.integ.modin.frame.test_info,test_info_verbose_false,"AssertionError: assert 'SnowflakeIndex' in 'RangeIndex: 3 entries, 0 to 2'",failed +tests.integ.modin.frame.test_info,test_info_verbose_true,"AssertionError: assert 'SnowflakeIndex' in 'RangeIndex: 3 entries, 0 to 2'",failed +tests.integ.modin.frame.test_insert,test_insert_duplicate_label,"ValueError: cannot insert col1, already exists",failed +tests.integ.modin.frame.test_insert,test_insert_empty_multiindex_frame[value0],"ValueError: Buffer dtype mismatch, expected 'Python object' but got 'long'",failed +tests.integ.modin.frame.test_insert,test_insert_empty_multiindex_frame[value1],"ValueError: Buffer dtype mismatch, expected 'Python object' but got 'long'",failed +tests.integ.modin.frame.test_insert,test_insert_empty_multiindex_frame[value2],"ValueError: Buffer dtype mismatch, expected 'Python object' but got 'long'",failed +tests.integ.modin.frame.test_insert,test_insert_index_num_levels_mismatch_negative[df_index0-value_index0],TypeError: incompatible index of inserted column with frame index,failed +tests.integ.modin.frame.test_insert,test_insert_index_num_levels_mismatch_negative[df_index1-value_index1],AssertionError: Length of new_levels (3) must be <= self.nlevels (2),failed +tests.integ.modin.frame.test_insert,test_insert_index_num_levels_mismatch_negative[df_index2-value_index2],TypeError: incompatible index of inserted column with frame index,failed +tests.integ.modin.frame.test_insert,test_insert_index_num_levels_mismatch_negative[df_index3-value_index3],AssertionError: Length of new_levels (3) must be <= self.nlevels (2),failed +tests.integ.modin.frame.test_insert,test_insert_index_num_levels_mismatch_negative[df_index4-value_index4],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_insert,test_insert_index_num_levels_mismatch_negative[df_index5-value_index5],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_insert,test_insert_index_type_mismatch[df_index0-value_index0-expected_index0],"AssertionError: DataFrame.index are different + +DataFrame.index values are different (100.0 %) +[left]: Index(['1', '2', '3'], dtype='object') +[right]: Index([1.0, 2.0, 3.0], dtype='float64') +At positional index 0, first diff: 1 != 1.0",failed +tests.integ.modin.frame.test_insert,test_insert_index_type_mismatch[df_index1-value_index1-expected_index1],TypeError: boolean value of NA is ambiguous,failed +tests.integ.modin.frame.test_insert,test_insert_index_type_mismatch[df_index2-value_index2-expected_index2],TypeError: boolean value of NA is ambiguous,failed +tests.integ.modin.frame.test_insert,test_insert_into_empty_dataframe_index_dtype_mismatch,Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_insert,test_insert_loc_negative[1],AssertionError: Snowpark pandas Exception '<=' not supported between instances of 'int' and 'str' doesn't match pandas Exception loc must be int,failed +tests.integ.modin.frame.test_insert,test_insert_multiindex_array_like_and_scalar[value4-1],ValueError: Length of values (1) does not match length of index (4),failed +tests.integ.modin.frame.test_insert,test_insert_multiindex_column[columns4-insert_label2],ValueError: Item must have length equal to number of levels.,failed +tests.integ.modin.frame.test_insert,test_insert_multiindex_column[columns4-insert_label3],ValueError: Item must have length equal to number of levels.,failed +tests.integ.modin.frame.test_insert,test_insert_multiindex_dict_negative,"AssertionError: Regex pattern did not match. + Regex: 'Number of index levels of inserted column are different from frame index' + Input: 'Length of values (3) does not match length of index (4)'",failed +tests.integ.modin.frame.test_insert,test_insert_multiple_null,ValueError: cannot reindex on an axis with duplicate labels,failed +tests.integ.modin.frame.test_insert,test_insert_one_to_many[native_value0],ValueError: cannot reindex on an axis with duplicate labels,failed +tests.integ.modin.frame.test_insert,test_insert_one_to_many[native_value1],ValueError: cannot reindex on an axis with duplicate labels,failed +tests.integ.modin.frame.test_insert,test_insert_one_to_many[native_value2],ValueError: cannot reindex on an axis with duplicate labels,failed +tests.integ.modin.frame.test_insert,test_insert_pandas_types_negative,Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_insert,test_insert_with_unique_and_duplicate_index_values[index_values0-other_index_values0-False],"AssertionError: DataFrame.index are different + +Attribute ""names"" are different +[left]: [None] +[right]: ['INDEX']",failed +tests.integ.modin.frame.test_insert,test_insert_with_unique_and_duplicate_index_values[index_values1-other_index_values1-False],"AssertionError: DataFrame.index are different + +Attribute ""names"" are different +[left]: [None] +[right]: ['INDEX']",failed +tests.integ.modin.frame.test_insert,test_insert_with_unique_and_duplicate_index_values[index_values10-other_index_values10-True],ValueError: cannot reindex on an axis with duplicate labels,failed +tests.integ.modin.frame.test_insert,test_insert_with_unique_and_duplicate_index_values[index_values11-other_index_values11-True],ValueError: cannot reindex on an axis with duplicate labels,failed +tests.integ.modin.frame.test_insert,test_insert_with_unique_and_duplicate_index_values[index_values2-other_index_values2-False],"AssertionError: DataFrame.index are different + +Attribute ""names"" are different +[left]: [None] +[right]: ['INDEX']",failed +tests.integ.modin.frame.test_insert,test_insert_with_unique_and_duplicate_index_values[index_values3-other_index_values3-False],"AssertionError: DataFrame.index are different + +Attribute ""names"" are different +[left]: [None] +[right]: ['INDEX']",failed +tests.integ.modin.frame.test_insert,test_insert_with_unique_and_duplicate_index_values[index_values4-other_index_values4-True],ValueError: cannot reindex on an axis with duplicate labels,failed +tests.integ.modin.frame.test_insert,test_insert_with_unique_and_duplicate_index_values[index_values5-other_index_values5-False],"AssertionError: DataFrame.index are different + +Attribute ""names"" are different +[left]: [None] +[right]: ['INDEX']",failed +tests.integ.modin.frame.test_insert,test_insert_with_unique_and_duplicate_index_values[index_values6-other_index_values6-False],"AssertionError: DataFrame.index are different + +Attribute ""names"" are different +[left]: [None] +[right]: ['INDEX']",failed +tests.integ.modin.frame.test_insert,test_insert_with_unique_and_duplicate_index_values[index_values7-other_index_values7-False],"AssertionError: DataFrame.index are different + +Attribute ""names"" are different +[left]: [None] +[right]: ['INDEX']",failed +tests.integ.modin.frame.test_insert,test_insert_with_unique_and_duplicate_index_values[index_values8-other_index_values8-True],ValueError: cannot reindex on an axis with duplicate labels,failed +tests.integ.modin.frame.test_insert,test_insert_with_unique_and_duplicate_index_values[index_values9-other_index_values9-True],ValueError: cannot reindex on an axis with duplicate labels,failed +tests.integ.modin.frame.test_interchange_protocol,test_allow_copy_false[TestingDf.MIXED_TYPE],"assert 105553159669504 != 105553159669504 + + where 105553159669504 = .get_buffer_memory_pointer at 0x3355f2550>() + + and 105553159669504 = .get_buffer_memory_pointer at 0x3355f2550>()",failed +tests.integ.modin.frame.test_items,test_items[dataframe3],AssertionError: Got type: ,failed +tests.integ.modin.frame.test_itertuples,test_df_itertuples_nan_data_negative,Native pandas retains the np.nan value while Snowpark pandas converts it to None.,xfailed +tests.integ.modin.frame.test_itertuples,test_df_itertuples_tuple_data_negative,[XPASS(strict)] Native pandas retains the tuple value while Snowpark pandas converts it to list.,failed +tests.integ.modin.frame.test_join,test_join_different_levels_negative,"AssertionError: Regex pattern did not match. + Regex: 'Can not merge objects with different column levels' + Input: 'Not allowed to merge between different levels. (1 levels on the left, 2 on the right)'",failed +tests.integ.modin.frame.test_join,test_join_invalid_how_negative,"AssertionError: Regex pattern did not match. + Regex: 'do not recognize join method full_outer_join' + Input: ""columns overlap but no suffix specified: Index(['a'], dtype='object')""",failed +tests.integ.modin.frame.test_join,test_join_list_mixed,AttributeError: 'Series' object has no attribute 'columns',failed +tests.integ.modin.frame.test_join,test_join_suffix_on_list_negative,"AssertionError: Regex pattern did not match. + Regex: 'Join dataframes have overlapping column labels' + Input: ""Indexes have overlapping values: Index(['key'], dtype='object')""",failed +tests.integ.modin.frame.test_join,test_join_unnamed_series_in_list_negative,AttributeError: 'Series' object has no attribute 'columns',failed +tests.integ.modin.frame.test_join,test_join_validate[lvalues0-rvalues0-1:1],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_join,test_join_validate[lvalues1-rvalues1-1:m],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_join,test_join_validate[lvalues2-rvalues2-m:1],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_join,test_join_validate[lvalues3-rvalues3-m:m],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_join,test_join_validate[lvalues4-rvalues4-1:m],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_join,test_join_validate[lvalues5-rvalues5-m:m],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_join,test_join_validate[lvalues6-rvalues6-m:1],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_join,test_join_validate[lvalues7-rvalues7-m:m],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_join,test_join_validate[lvalues8-rvalues8-m:m],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_join,test_join_validate_negative[lvalues0-rvalues0-1:1],pandas.errors.MergeError: Merge keys are not unique in right dataset; not a one-to-one merge,failed +tests.integ.modin.frame.test_join,test_join_validate_negative[lvalues1-rvalues1-m:1],pandas.errors.MergeError: Merge keys are not unique in right dataset; not a many-to-one merge,failed +tests.integ.modin.frame.test_join,test_join_validate_negative[lvalues2-rvalues2-1:1],pandas.errors.MergeError: Merge keys are not unique in left dataset; not a one-to-one merge,failed +tests.integ.modin.frame.test_join,test_join_validate_negative[lvalues3-rvalues3-1:m],pandas.errors.MergeError: Merge keys are not unique in left dataset; not a one-to-many merge,failed +tests.integ.modin.frame.test_join,test_join_validate_negative[lvalues4-rvalues4-1:1],pandas.errors.MergeError: Merge keys are not unique in either left or right dataset; not a one-to-one merge,failed +tests.integ.modin.frame.test_join,test_join_validate_negative[lvalues5-rvalues5-1:m],pandas.errors.MergeError: Merge keys are not unique in left dataset; not a one-to-many merge,failed +tests.integ.modin.frame.test_join,test_join_validate_negative[lvalues6-rvalues6-m:1],pandas.errors.MergeError: Merge keys are not unique in right dataset; not a many-to-one merge,failed +tests.integ.modin.frame.test_loc,test_df_loc_full_set_row_from_series_pandas_errors_default_columns[index0-expected_result0],"ValueError: could not broadcast input array from shape (2,) into shape (2, 3)",failed +tests.integ.modin.frame.test_loc,test_df_loc_full_set_row_from_series_pandas_errors_default_columns[index1-expected_result1],"ValueError: could not broadcast input array from shape (2,) into shape (2, 3)",failed +tests.integ.modin.frame.test_loc,test_df_loc_full_set_row_from_series_pandas_errors_string_columns[series_index0],"ValueError: could not broadcast input array from shape (2,) into shape (2, 3)",failed +tests.integ.modin.frame.test_loc,test_df_loc_full_set_row_from_series_pandas_errors_string_columns[series_index1],"ValueError: could not broadcast input array from shape (2,) into shape (2, 3)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_col_len_mismatch_boolean_indexer[key1],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_col_snowpark_pandas_input[series[bool]_col],"AssertionError: DataFrame.columns are different + +DataFrame.columns values are different (20.0 %) +[left]: Index(['A', 'B', 'C', 'F', 'A'], dtype='object') +[right]: Index(['A', 'B', 'C', 'E', 'A'], dtype='object') +At positional index 3, first diff: F != E",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_col_time_df[key0],"TypeError: Cannot interpret 'datetime64[ns, UTC]' as a data type",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_col_time_df[key1],"TypeError: Cannot interpret 'datetime64[ns, UTC]' as a data type",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_bool[array-key5],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_bool[index-key5],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_bool[list-key5],IndexError: positional indexers are out-of-bounds,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_bool[series-key4],pandas.errors.IndexingError: Unalignable boolean Series provided as indexer (index of the boolean Series and of the indexed object do not match).,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_bool_series_with_1k_shape[key0],pandas.errors.IndexingError: Unalignable boolean Series provided as indexer (index of the boolean Series and of the indexed object do not match).,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_bool_series_with_1k_shape[key1],pandas.errors.IndexingError: Unalignable boolean Series provided as indexer (index of the boolean Series and of the indexed object do not match).,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_bool_series_with_mismatch_index_len[False-key0],pandas.errors.IndexingError: Unalignable boolean Series provided as indexer (index of the boolean Series and of the indexed object do not match).,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_bool_series_with_mismatch_index_len[False-key1],pandas.errors.IndexingError: Unalignable boolean Series provided as indexer (index of the boolean Series and of the indexed object do not match).,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_bool_series_with_mismatch_index_len[True-key0],pandas.errors.IndexingError: Unalignable boolean Series provided as indexer (index of the boolean Series and of the indexed object do not match).,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_bool_series_with_mismatch_index_len[True-key1],pandas.errors.IndexingError: Unalignable boolean Series provided as indexer (index of the boolean Series and of the indexed object do not match).,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_bool_series_with_unaligned_and_duplicate_indices,"AssertionError: DataFrame are different + +DataFrame shape mismatch +[left]: (5, 2) +[right]: (9, 2)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_non_boolean_series_with_1k_shape[key1],"KeyError: array([ -346, -1451, -362, -33, 1495, -468, -801, -1211, 1276, + 1314, -1424, -1372, -259, 1012, 1058, -1144, -986, -1159, + 1276, -184, -1050, -1428, 1399, -898, 1056, -758, -106, + -48, -185, -1384, -573, -24, -766, -965, 1410, 1144, + -809, -585, -1425, -771, -243, -324, -689, -1309, -311, + -1424, -1398, -725])",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_non_boolean_series_with_1k_shape[key2],"KeyError: array([ 1132, -1441, -188, -282, -650, -1453, -91, -34, -604, + -403, -205, -181, -601, -227, 1399, -545, -482, -646, + -1179, -1060, 1374, 1053, -545, 1242, 1238, -1121, -859, + 1401, -705, -788, -482, -1433, 1384, -410, -1219, 1182, + 1125, 1073, -1499, -1106, -585, -143, 1345, -50, -747, + -242, -1377, 1061, -196, -1230, -1363, 1299, -692, -372, + -291, -126, 1176, -1428, -245, -358, -1090, -130, -1139, + -75, -42, 1090, -1190, -1086, -683, -792, -155, 1196, + 1131, -760, -1417, -117, 1432, 1029, -522, -1382, -358, + 1410, 1455, -1259, -825, -644, -1286, -331, -1265, -162, + -513, 1217, 1399, -1411, 1261, -1374, 1134, -997, -317, + -303, -136, 1440, -600, 1323, -519, 1374, -317, 1113, + 1223, 1336, 1164, 1315, 1169, -763, -663, 1372, -307, + -113, -1194, -708, 1395, -1387, 1036, -49, 1011, -994, + -634, 1475, 1455, 1026, -1431, -687, 1338, -218, -1193, + -1294, -530, 1061, -902, -743, -358, -267, -1405, 1393, + -670, 1188, -1162, -1066, -139, -886, -288, -681, -746, + 1238, -347, -861, -1229, -1328, -872, -649, -1011, -1024, + -1397, 1402, -242, -1456, -332, -29, 1387, 1490, -436, + 1081, -430, -398, 1080, 1298, -522, -806, -963, 1039, + 1039, -472, 1109, -1090, 1413, 1435, -556, -1250, -1464, + -404, 1261, -1311, -637, 1476, -1469, -1297, -113, -946, + -938, -759, -476, -25, -398, -819, -369, -1402, -961, + 1441, 1161, -1013, -517, 1032, -872, -1173, -333, -823, + -368, -796, -488, -88, -572, -1280, -1357, -25, -1190, + -352, -1135, -619, -439, 1262, -833, -1314, -1087, 1006, + 1409, 1070, 1304, -969, 1109, -326, -822, 1257, 1225, + -273, -276, 1304, -499, -248, -271, -290, -585, -461, + 1175, 1124, 1195, -1351, -1086, -459, 1475, -1052, 1040, + -284, 1139, -1280, -657, 1276, -1005, 1131, -894, 1275, + -523, -614, 1043, 1123, 1185, -801, -1302, -1216, -891, + 1421, -696, -233, 1218, -796, -439, 1038, 1462, -1092, + -816, -727, 1082, -606, -1478, -1220, 1024, 1342, -1320, + -1332, -1192, -522, -97, -1181, 1463, -1452, -685, -790, + -1089, -1235, -1275, 1185, -1214, 1289, 1391, -1002, -1492, + -325, -532, -446, -213, 1455, -27, -196, -57, -175, + 1357, -446, -576, 1399, -24, -1414, -994, 1056, -1422, + -222, 1076, 1319, -402, -1451, 1002, -511, -738, 1201, + 1133, -724, -276, 1360, -83, -527, 1439, -530, -1179, + -209, -23, 1053, -263, -149, -1290, -1093, -1209, -1031, + -239, -85, -68, -673, -411, -507, -537, 1330, -1410, + 1357, -1058, -988, 1375, -1402, 1252, -112, -75, 1380, + 1128, -1472, -458, -679, -238, -850, -71, 1495, 1282, + -1333, -1005, -618, 1488, -280, 1238, 1265, -1185, 1324, + 1250, -1500, 1230, -932, -1339, -100, -985, -1441, 1346, + -1258, -1092, -568, -550, -576, -1142, -1058, -1280, -429, + 1253, 1355, -302, 1407, -1168, -552, -1251, -791, 1295, + 1059, -733, 1165, -836, -124, 1465, -1437, -311, -257, + 1028, -1463, -1349, -1458, -38, -1078, -1119, -680, -446, + -814, 1253, -1363, -735, -190, -182, -38, -1030, -1275, + -1449, -1058, -611, -170, -615, 1112, -688, -225, -993, + -976, -806, 1169, -1174, -854, -807, -1378, -1177, -1492, + -161, -452, -310, 1131, 1388, -101, -38, 1161, -952, + -874, -192, -199, 1186, 1406, -319, -273, -330, -1343, + -350, 1083, -1494, -535, -395, -120, -1204, -892, -601, + -764, 1196, -846, 1368, -31, -1413, -993, -14, -882, + -1247, -974, 1486, -629, -1311, -875, -700, -175, 1012, + -741, -751, -766, -1355, -882, 1409, -620, -265, -276, + 1197, 1036, -276, 1284, 1403, 1174, -462, 1154, -1042, + 1156, 1109, 1342, 1125, -58, -1028, 1161, 1204, 1480, + 1291, -519, -1281, -206, -1120, -445, -140, -138, 1496, + 1003, -708, -818, -1253, 1470, -1010, -336, -213, -697, + -39, -735, -413, -663, -819, 1220, 1061, -1172, 1370, + -889, -830, 1052, 1254, -315, -890, 1447, -758, -58, + 1331, -911, -28, -816, 1279, 1061, -1227, -1215, -1381, + 1181, -1447, -1087, -1175, -687, 1466, -1378, -589, -135, + -1236, -514, -816, -1352, 1348, 1419, 1467, -1041, -714, + -947, -575, -1262, -53, -604, -177, -34, -509, -1030, + 1109, -552, 1087, -1313, 1044, -316, -1192, -765, 1221, + -763, -1272, -669, -1476, -893, -254, -1359, -1151, -819, + -832, -891, -347, -1204, 1466, -176, -1232, -608, 1125, + -6, -1296, -1156, -864, -760, -1353, -859, -956, 1291, + -1253, 1081, -1139, -31, -226, 1361, -1298, -103, -902, + -1105, -194, -429, -1241, 1291, 1248, 1275, -141, -850, + -325, -401, -409, 1304, 1478, -1109, -1385, -584, -520, + -1106, -346, 1348, -1142, -1479, 1289, -128, -798, 1358, + -410, 1265, -857, -1017, -1439, -775, 1111, 1189, -409, + -853, -1460, -1099, 1387, -1234, -1037, -1231, -708, -1178, + -1333, -1087, -641, -658, -939, -811, 1102, -1265, -198, + -869, -48, -1319, -618, -1250, -663, -585, 1409, -609, + -1223, -347, -773, 1334, -951, -909, -520, -441, -776, + -1022, -1285, 1252, -1330, -417, -1410, -1477, -1079, 1143, + -1418, -910, -673, -612, -863, -772, -1155, 1274, 1482, + 1036, -1120, -662, -394, -805, -1045, -817, 1471, -429, + 1324, -40, -476, 1040, -782, 1431, 1486, -506, -1072, + -67, -310, -635, 1391, -1155, -363, -1039, -582, -1441, + -227, 1463, 1227, -1162, -1053, -418, -453, -892, -417, + -480, -1035, 1037, -188, -1037, -829, -160, -654, -13, + 1157, -512, -856, -899, -489, -596, 1382, -126, -654, + -12, 1345, 1245, -1483, -1128, -355, -117, -961, 1003, + -200, -1385, -328, -238, -1388, -147, -752, -653, 1021, + -1366, -313, -1199, -326, -260, -1440, -1226, -1019, -869, + 1116, -667, -935, -382, 1412, 1463, -1119, 1236, 1469, + -409, -1001, -764, -978, -416, -1111, -1326, -743, -1372, + -1074, -459, -551, -726, -743, -280, -544, -813, -381, + -1419, -179, -677, -70, -713, -1003, -4, -1087, -1162, + -1152, 1200, -990, -1358, -833, 1188, -517, 1402, -452, + 1241, 1087, -1496, -1097, -5, -727, -1007, 1136, -760, + -28, -563, -247, -688, 1282, -577, -1052, -730, -1455, + -539, -394, -461, 1207, 1499, -622, -1430, 1091, -747, + -1218, -543, -615, -754, -170, -503, -1471, -1066, 1486, + -241, 1321, -1025, -342, 1266, -247, -1074, -233, 1044, + -103, 1227, 1270, 1400, -582, -689, -21, 1106, 1424, + -426, -611, -300, -243, -1485, -1353, -798, -178, -735, + -671, -71, -1168, 1321, -1159, -1182, -1124, 1185, -336, + -1498, -757, -405, 1086, -304, 1401, -1059, -1196, -1204, + -337, -1469, -1381])",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[False--1-1-10],"AssertionError: DataFrame are different + +DataFrame shape mismatch +[left]: (5, 7) +[right]: (6, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[False--1-1-1],"AssertionError: DataFrame are different + +DataFrame shape mismatch +[left]: (0, 7) +[right]: (1, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[False--1-1-4],"AssertionError: DataFrame are different + +DataFrame shape mismatch +[left]: (3, 7) +[right]: (4, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[False--1-1-None],"AssertionError: DataFrame are different + +DataFrame shape mismatch +[left]: (5, 7) +[right]: (6, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[False--1-4-10],"AssertionError: DataFrame are different + +DataFrame shape mismatch +[left]: (2, 7) +[right]: (3, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[False--1-4-4],"AssertionError: DataFrame are different + +DataFrame shape mismatch +[left]: (0, 7) +[right]: (1, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[False--1-4-None],"AssertionError: DataFrame are different + +DataFrame shape mismatch +[left]: (2, 7) +[right]: (3, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[False--2--1-10],"AssertionError: DataFrame are different + +DataFrame shape mismatch +[left]: (3, 7) +[right]: (4, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[False--2--1-4],"AssertionError: DataFrame are different + +DataFrame shape mismatch +[left]: (2, 7) +[right]: (3, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[False--2--1-None],"AssertionError: DataFrame are different + +DataFrame shape mismatch +[left]: (3, 7) +[right]: (4, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[False--2-1-10],"AssertionError: DataFrame are different + +DataFrame shape mismatch +[left]: (2, 7) +[right]: (3, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[False--2-1-1],"AssertionError: DataFrame are different + +DataFrame shape mismatch +[left]: (0, 7) +[right]: (1, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[False--2-1-4],"AssertionError: DataFrame are different + +DataFrame shape mismatch +[left]: (1, 7) +[right]: (2, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[False--2-1-None],"AssertionError: DataFrame are different + +DataFrame shape mismatch +[left]: (2, 7) +[right]: (3, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[False--2-4-10],"AssertionError: DataFrame are different + +DataFrame shape mismatch +[left]: (1, 7) +[right]: (2, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[False--2-4-4],"AssertionError: DataFrame are different + +DataFrame shape mismatch +[left]: (0, 7) +[right]: (1, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[False--2-4-None],"AssertionError: DataFrame are different + +DataFrame shape mismatch +[left]: (1, 7) +[right]: (2, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[False--9--1-10],"AssertionError: DataFrame are different + +DataFrame shape mismatch +[left]: (0, 7) +[right]: (1, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[False--9--1-1],"AssertionError: DataFrame are different + +DataFrame shape mismatch +[left]: (0, 7) +[right]: (1, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[False--9--1-4],"AssertionError: DataFrame are different + +DataFrame shape mismatch +[left]: (0, 7) +[right]: (1, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[False--9--1-None],"AssertionError: DataFrame are different + +DataFrame shape mismatch +[left]: (0, 7) +[right]: (1, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[False--9-1-10],"AssertionError: DataFrame are different + +DataFrame shape mismatch +[left]: (0, 7) +[right]: (1, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[False--9-1-1],"AssertionError: DataFrame are different + +DataFrame shape mismatch +[left]: (0, 7) +[right]: (1, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[False--9-1-4],"AssertionError: DataFrame are different + +DataFrame shape mismatch +[left]: (0, 7) +[right]: (1, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[False--9-1-None],"AssertionError: DataFrame are different + +DataFrame shape mismatch +[left]: (0, 7) +[right]: (1, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[False--9-4-10],"AssertionError: DataFrame are different + +DataFrame shape mismatch +[left]: (0, 7) +[right]: (1, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[False--9-4-4],"AssertionError: DataFrame are different + +DataFrame shape mismatch +[left]: (0, 7) +[right]: (1, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[False--9-4-None],"AssertionError: DataFrame are different + +DataFrame shape mismatch +[left]: (0, 7) +[right]: (1, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[False-1-1--1],"AssertionError: DataFrame are different + +DataFrame shape mismatch +[left]: (1, 7) +[right]: (2, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[False-1-1-1],"AssertionError: DataFrame are different + +DataFrame shape mismatch +[left]: (0, 7) +[right]: (1, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[False-1-1-None],"AssertionError: DataFrame are different + +DataFrame shape mismatch +[left]: (1, 7) +[right]: (2, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[False-1-4--1],"AssertionError: DataFrame are different + +DataFrame shape mismatch +[left]: (4, 7) +[right]: (5, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[False-1-4-1],"AssertionError: DataFrame are different + +DataFrame shape mismatch +[left]: (3, 7) +[right]: (4, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[False-1-4-4],"AssertionError: DataFrame are different + +DataFrame shape mismatch +[left]: (0, 7) +[right]: (1, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[False-1-4-None],"AssertionError: DataFrame are different + +DataFrame shape mismatch +[left]: (4, 7) +[right]: (5, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[False-2-1--1],"AssertionError: DataFrame are different + +DataFrame shape mismatch +[left]: (0, 7) +[right]: (1, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[False-2-1-1],"AssertionError: DataFrame are different + +DataFrame shape mismatch +[left]: (0, 7) +[right]: (1, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[False-2-1-None],"AssertionError: DataFrame are different + +DataFrame shape mismatch +[left]: (0, 7) +[right]: (1, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[False-2-4--1],"AssertionError: DataFrame are different + +DataFrame shape mismatch +[left]: (2, 7) +[right]: (3, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[False-2-4-1],"AssertionError: DataFrame are different + +DataFrame shape mismatch +[left]: (1, 7) +[right]: (2, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[False-2-4-4],"AssertionError: DataFrame are different + +DataFrame shape mismatch +[left]: (0, 7) +[right]: (1, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[False-2-4-None],"AssertionError: DataFrame are different + +DataFrame shape mismatch +[left]: (2, 7) +[right]: (3, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[False-9-1--1],"AssertionError: DataFrame are different + +DataFrame shape mismatch +[left]: (0, 7) +[right]: (1, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[False-9-1-1],"AssertionError: DataFrame are different + +DataFrame shape mismatch +[left]: (0, 7) +[right]: (1, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[False-9-1-None],"AssertionError: DataFrame are different + +DataFrame shape mismatch +[left]: (0, 7) +[right]: (1, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[False-9-10-4],"AssertionError: DataFrame are different + +DataFrame shape mismatch +[left]: (0, 7) +[right]: (1, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[False-9-4--1],"AssertionError: DataFrame are different + +DataFrame shape mismatch +[left]: (0, 7) +[right]: (1, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[False-9-4-1],"AssertionError: DataFrame are different + +DataFrame shape mismatch +[left]: (0, 7) +[right]: (1, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[False-9-4-4],"AssertionError: DataFrame are different + +DataFrame shape mismatch +[left]: (0, 7) +[right]: (1, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[False-9-4-None],"AssertionError: DataFrame are different + +DataFrame shape mismatch +[left]: (0, 7) +[right]: (1, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[True--1--1--1],"AssertionError: DataFrame are different + +DataFrame shape mismatch +[left]: (1, 7) +[right]: (0, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[True--1--1-None],"AssertionError: DataFrame are different + +DataFrame shape mismatch +[left]: (1, 7) +[right]: (0, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[True--1-1--1],"AssertionError: DataFrame are different + +DataFrame shape mismatch +[left]: (3, 7) +[right]: (2, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[True--1-1-1],"AssertionError: DataFrame are different + +DataFrame shape mismatch +[left]: (2, 7) +[right]: (1, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[True--1-1-None],"AssertionError: DataFrame are different -Attribute ""names"" are different -[left]: ['row_0'] -[right]: ['species']",failed -6251,tests.integ.modin.crosstab.test_crosstab,test_values_series_like[sum1-True],"AssertionError: DataFrame.index are different +DataFrame shape mismatch +[left]: (3, 7) +[right]: (2, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[True--1-4--1],"AssertionError: DataFrame are different -Attribute ""names"" are different -[left]: ['row_0'] -[right]: ['species']",failed -6253,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[list0-rtruediv],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -6254,tests.integ.modin.binary.test_binary_op,test_binary_method_datetime_with_dateoffset_replacement[dateoffset0],pandas._libs.tslibs.np_datetime.OutOfBoundsDatetime: Cannot cast 0001-01-02 03:04:05 to unit='ns' without overflow.,failed -6255,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True-4-7],IndexError: positional indexers are out-of-bounds,failed -6256,tests.integ.modin.binary.test_binary_op,test_binary_method_datetime_with_dateoffset_replacement[dateoffset1],Failed: DID NOT RAISE ,failed -6257,tests.integ.modin.crosstab.test_crosstab,test_values_series_like[sum1-False],"AssertionError: DataFrame.index are different +DataFrame shape mismatch +[left]: (6, 7) +[right]: (5, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[True--1-4-1],"AssertionError: DataFrame are different -Attribute ""names"" are different -[left]: ['row_0'] -[right]: ['species']",failed -6260,tests.integ.modin.binary.test_binary_op,test_binary_method_datetime_with_dateoffset_replacement[dateoffset2],Failed: DID NOT RAISE ,failed -6262,tests.integ.modin.crosstab.test_crosstab,test_values_series_like[sum2-True],"AssertionError: DataFrame.index are different +DataFrame shape mismatch +[left]: (5, 7) +[right]: (4, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[True--1-4-4],"AssertionError: DataFrame are different -Attribute ""names"" are different -[left]: ['row_0'] -[right]: ['species']",failed -6263,tests.integ.modin.binary.test_binary_op,test_binary_method_datetime_with_dateoffset_replacement[dateoffset3],Failed: DID NOT RAISE ,failed -6265,tests.integ.modin.binary.test_binary_op,test_binary_method_datetime_with_dateoffset_replacement[dateoffset4],Failed: DID NOT RAISE ,failed -6266,tests.integ.modin.crosstab.test_crosstab,test_values_series_like[sum2-False],"AssertionError: DataFrame.index are different +DataFrame shape mismatch +[left]: (2, 7) +[right]: (1, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[True--1-4-None],"AssertionError: DataFrame are different -Attribute ""names"" are different -[left]: ['row_0'] -[right]: ['species']",failed -6267,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True-4-52879115],IndexError: positional indexers are out-of-bounds,failed -6270,tests.integ.modin.binary.test_binary_op,test_binary_method_datetime_with_dateoffset_replacement[dateoffset5],Failed: DID NOT RAISE ,failed -6271,tests.integ.modin.binary.test_binary_op,test_binary_method_datetime_with_dateoffset_replacement[dateoffset6],Failed: DID NOT RAISE ,failed -6273,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True-4--9028751],IndexError: index -9028751 is out of bounds for axis 0 with size 7,failed -6274,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[list0-floordiv],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -6276,tests.integ.modin.binary.test_binary_op,test_binary_method_datetime_with_dateoffset_replacement[dateoffset7],Failed: DID NOT RAISE ,failed -6278,tests.integ.modin.binary.test_binary_op,test_binary_method_datetime_with_dateoffset_replacement[dateoffset8],Failed: DID NOT RAISE ,failed -6280,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[list0-rfloordiv],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -6281,tests.integ.modin.binary.test_binary_op,test_binary_method_datetime_with_dateoffset_replacement[dateoffset9],Failed: DID NOT RAISE ,failed -6283,tests.integ.modin.crosstab.test_crosstab,test_aggfuncs_that_may_produce_nan[std0-True],AttributeError: can't set attribute,failed -6284,tests.integ.modin.binary.test_binary_op,test_binary_add_dataframe_and_series_axis0[df0-s0],"AssertionError: DataFrame are different +DataFrame shape mismatch +[left]: (6, 7) +[right]: (5, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[True--2--1--1],"AssertionError: DataFrame are different DataFrame shape mismatch -[left]: (5, 3) -[right]: (4, 5)",failed -6285,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[list0-mod],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -6287,tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[False-None-1-1],ValueError: Incompatible indexer with DataFrame,failed -6288,tests.integ.modin.crosstab.test_crosstab,test_aggfuncs_that_may_produce_nan[std0-False],AttributeError: can't set attribute,failed -6289,tests.integ.modin.binary.test_binary_op,test_binary_add_dataframe_and_series_axis0[df1-s1],"AssertionError: DataFrame are different +[left]: (1, 7) +[right]: (0, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[True--2--1-1],"AssertionError: DataFrame are different DataFrame shape mismatch -[left]: (4, 3) -[right]: (4, 6)",failed -6290,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True--7-0],IndexError: index -7 is out of bounds for axis 0 with size 6,failed -6291,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[list0-rmod],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -6293,tests.integ.modin.crosstab.test_crosstab,test_aggfuncs_that_may_produce_nan[std1-True],AttributeError: can't set attribute,failed -6295,tests.integ.modin.binary.test_binary_op,test_binary_op_between_dataframe_and_series_axis0[df0-s0-add0],"AssertionError: DataFrame are different +[left]: (1, 7) +[right]: (0, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[True--2--1-None],"AssertionError: DataFrame are different DataFrame shape mismatch -[left]: (5, 3) -[right]: (4, 5)",failed -6298,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True--7--3],IndexError: index -7 is out of bounds for axis 0 with size 6,failed -6299,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[list0-pow],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -6300,tests.integ.modin.crosstab.test_crosstab,test_aggfuncs_that_may_produce_nan[std1-False],AttributeError: can't set attribute,failed -6301,tests.integ.modin.binary.test_binary_op,test_binary_op_between_dataframe_and_series_axis0[df0-s0-sub0],"AssertionError: DataFrame are different +[left]: (1, 7) +[right]: (0, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[True--2-1--1],"AssertionError: DataFrame are different DataFrame shape mismatch -[left]: (5, 3) -[right]: (4, 5)",failed -6304,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True--7-4],IndexError: index -7 is out of bounds for axis 0 with size 6,failed -6305,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[list0-rpow],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -6307,tests.integ.modin.binary.test_binary_op,test_binary_op_between_dataframe_and_series_axis0[df0-s0-truediv],"AssertionError: DataFrame are different +[left]: (2, 7) +[right]: (1, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[True--2-1-1],"AssertionError: DataFrame are different DataFrame shape mismatch -[left]: (5, 3) -[right]: (4, 5)",failed -6308,tests.integ.modin.crosstab.test_crosstab,test_aggfuncs_that_may_produce_nan[var0-True],AttributeError: can't set attribute,failed -6310,tests.integ.modin.binary.test_binary_op,test_binary_op_between_dataframe_and_series_axis0[df0-s0-rtruediv],"AssertionError: DataFrame are different +[left]: (2, 7) +[right]: (1, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[True--2-1-None],"AssertionError: DataFrame are different DataFrame shape mismatch -[left]: (5, 3) -[right]: (4, 5)",failed -6311,tests.integ.modin.crosstab.test_crosstab,test_aggfuncs_that_may_produce_nan[var0-False],AttributeError: can't set attribute,failed -6312,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True--7--7],IndexError: index -7 is out of bounds for axis 0 with size 6,failed -6313,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[ndarray0-add],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -6315,tests.integ.modin.binary.test_binary_op,test_binary_op_between_dataframe_and_series_axis0[df0-s0-floordiv0],"AssertionError: DataFrame are different +[left]: (2, 7) +[right]: (1, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[True--2-4--1],"AssertionError: DataFrame are different DataFrame shape mismatch -[left]: (5, 3) -[right]: (4, 5)",failed -6316,tests.integ.modin.crosstab.test_crosstab,test_aggfuncs_that_may_produce_nan[var1-True],AttributeError: can't set attribute,failed -6318,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True--7-6],IndexError: index -7 is out of bounds for axis 0 with size 6,failed -6319,tests.integ.modin.crosstab.test_crosstab,test_aggfuncs_that_may_produce_nan[var1-False],AttributeError: can't set attribute,failed -6320,tests.integ.modin.binary.test_binary_op,test_binary_op_between_dataframe_and_series_axis0[df0-s0-rfloordiv0],"AssertionError: DataFrame are different +[left]: (4, 7) +[right]: (3, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[True--2-4-1],"AssertionError: DataFrame are different DataFrame shape mismatch -[left]: (5, 3) -[right]: (4, 5)",failed -6322,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True--7--6],IndexError: index -7 is out of bounds for axis 0 with size 6,failed -6323,tests.integ.modin.binary.test_binary_op,test_binary_op_between_dataframe_and_series_axis0[df0-s0-floordiv1],"AssertionError: DataFrame are different +[left]: (3, 7) +[right]: (2, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[True--2-4-4],"AssertionError: DataFrame are different DataFrame shape mismatch -[left]: (5, 3) -[right]: (4, 5)",failed -6325,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[ndarray0-radd],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -6326,tests.integ.modin.binary.test_binary_op,test_binary_op_between_dataframe_and_series_axis0[df0-s0-rfloordiv1],"AssertionError: DataFrame are different +[left]: (2, 7) +[right]: (1, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[True--2-4-None],"AssertionError: DataFrame are different DataFrame shape mismatch -[left]: (5, 3) -[right]: (4, 5)",failed -6327,tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[False-None-4-4],ValueError: Incompatible indexer with DataFrame,failed -6329,tests.integ.modin.binary.test_binary_op,test_binary_op_between_dataframe_and_series_axis0[df0-s0-pow],"AssertionError: DataFrame are different +[left]: (4, 7) +[right]: (3, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[True--9--1--1],"AssertionError: DataFrame are different DataFrame shape mismatch -[left]: (5, 3) -[right]: (4, 5)",failed -6331,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[ndarray0-sub],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -6334,tests.integ.modin.crosstab.test_crosstab,test_aggfuncs_that_may_produce_nan[skew-True],AttributeError: can't set attribute,failed -6336,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[ndarray0-rsub],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -6337,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True--7--8],IndexError: index -8 is out of bounds for axis 0 with size 7,failed -6338,tests.integ.modin.crosstab.test_crosstab,test_aggfuncs_that_may_produce_nan[skew-False],AttributeError: can't set attribute,failed -6342,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[ndarray0-mul],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -6343,tests.integ.modin.crosstab.test_crosstab,test_values_unsupported_aggfunc,AttributeError: can't set attribute,failed -6345,tests.integ.modin.binary.test_binary_op,test_binary_op_between_dataframe_and_series_axis0[df0-s0-rpow],"AssertionError: DataFrame are different +[left]: (1, 7) +[right]: (0, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[True--9--1-1],"AssertionError: DataFrame are different DataFrame shape mismatch -[left]: (5, 3) -[right]: (4, 5)",failed -6346,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True--7-7],IndexError: positional indexers are out-of-bounds,failed -6348,tests.integ.modin.crosstab.test_crosstab,test_values_series_like_unsupported_aggfunc,Failed: DID NOT RAISE ,failed -6352,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[ndarray0-rmul],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -6353,tests.integ.modin.binary.test_binary_op,test_binary_op_between_dataframe_and_series_axis0[df0-s0-add1],"AssertionError: DataFrame are different +[left]: (1, 7) +[right]: (0, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[True--9--1-4],"AssertionError: DataFrame are different DataFrame shape mismatch -[left]: (5, 3) -[right]: (4, 5)",failed -6356,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True--7-52879115],IndexError: positional indexers are out-of-bounds,failed -6358,tests.integ.modin.binary.test_binary_op,test_binary_op_between_dataframe_and_series_axis0[df0-s0-radd],"AssertionError: DataFrame are different +[left]: (1, 7) +[right]: (0, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[True--9--1-None],"AssertionError: DataFrame are different DataFrame shape mismatch -[left]: (5, 3) -[right]: (4, 5)",failed -6359,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[ndarray0-truediv],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -6361,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True--7--9028751],IndexError: index -9028751 is out of bounds for axis 0 with size 7,failed -6362,tests.integ.modin.binary.test_binary_op,test_binary_op_between_dataframe_and_series_axis0[df0-s0-sub1],"AssertionError: DataFrame are different +[left]: (1, 7) +[right]: (0, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[True--9-1-4],"AssertionError: DataFrame are different DataFrame shape mismatch -[left]: (5, 3) -[right]: (4, 5)",failed -6365,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[ndarray0-rtruediv],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -6368,tests.integ.modin.binary.test_binary_op,test_binary_op_between_dataframe_and_series_axis0[df0-s0-rsub],"AssertionError: DataFrame are different +[left]: (1, 7) +[right]: (0, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[True-1-1-10],"AssertionError: DataFrame are different DataFrame shape mismatch -[left]: (5, 3) -[right]: (4, 5)",failed -6370,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True-6-0],IndexError: positional indexers are out-of-bounds,failed -6372,tests.integ.modin.binary.test_binary_op,test_binary_op_between_dataframe_and_series_axis0[df0-s0-mul],"AssertionError: DataFrame are different +[left]: (7, 7) +[right]: (6, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[True-1-1-1],"AssertionError: DataFrame are different DataFrame shape mismatch -[left]: (5, 3) -[right]: (4, 5)",failed -6376,tests.integ.modin.binary.test_binary_op,test_binary_op_between_dataframe_and_series_axis0[df0-s0-rmul],"AssertionError: DataFrame are different +[left]: (2, 7) +[right]: (1, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[True-1-1-4],"AssertionError: DataFrame are different DataFrame shape mismatch -[left]: (5, 3) -[right]: (4, 5)",failed -6377,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True-6--3],IndexError: positional indexers are out-of-bounds,failed -6379,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[ndarray0-floordiv],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -6380,tests.integ.modin.binary.test_binary_op,test_binary_op_between_dataframe_and_series_axis0[df0-s0-mod],"AssertionError: DataFrame are different +[left]: (5, 7) +[right]: (4, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[True-1-1-None],"AssertionError: DataFrame are different DataFrame shape mismatch -[left]: (5, 3) -[right]: (4, 5)",failed -6381,tests.integ.modin.extensions.test_dataframe_extensions,test_dataframe_extension_simple_method,AttributeError: DataFrame object has no attribute new_method,failed -6383,tests.integ.modin.extensions.test_dataframe_extensions,test_dataframe_extension_non_method,AttributeError: 'DataFrame' object has no attribute 'four',failed -6384,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True-6-4],IndexError: positional indexers are out-of-bounds,failed -6385,tests.integ.modin.extensions.test_dataframe_extensions,test_dataframe_extension_access_existing_methods,AttributeError: DataFrame object has no attribute self_accessor,failed -6386,tests.integ.modin.binary.test_binary_op,test_binary_op_between_dataframe_and_series_axis0[df0-s0-rmod],"AssertionError: DataFrame are different +[left]: (7, 7) +[right]: (6, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[True-1-4-10],"AssertionError: DataFrame are different DataFrame shape mismatch -[left]: (5, 3) -[right]: (4, 5)",failed -6387,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[ndarray0-rfloordiv],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -6388,tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[False-1-1-None],ValueError: Incompatible indexer with DataFrame,failed -6389,tests.integ.modin.extensions.test_dataframe_extensions,test_dataframe_extension_override_method,"ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().",failed -6391,tests.integ.modin.binary.test_binary_op,test_binary_op_between_dataframe_and_series_axis0[df1-s1-add0],"AssertionError: DataFrame are different +[left]: (4, 7) +[right]: (3, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[True-1-4-4],"AssertionError: DataFrame are different DataFrame shape mismatch -[left]: (4, 3) -[right]: (4, 6)",failed -6392,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[ndarray0-mod],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -6393,tests.integ.modin.binary.test_binary_op,test_binary_op_between_dataframe_and_series_axis0[df1-s1-sub0],"AssertionError: DataFrame are different +[left]: (2, 7) +[right]: (1, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[True-1-4-None],"AssertionError: DataFrame are different DataFrame shape mismatch -[left]: (4, 3) -[right]: (4, 6)",failed -6395,tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[False-1-1--1],ValueError: Incompatible indexer with DataFrame,failed -6396,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[ndarray0-rmod],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -6398,tests.integ.modin.binary.test_binary_op,test_binary_op_between_dataframe_and_series_axis0[df1-s1-truediv],"AssertionError: DataFrame are different +[left]: (4, 7) +[right]: (3, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[True-2-1-10],"AssertionError: DataFrame are different DataFrame shape mismatch -[left]: (4, 3) -[right]: (4, 6)",failed -6401,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True-6--7],IndexError: positional indexers are out-of-bounds,failed -6402,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[ndarray0-pow],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -6403,tests.integ.modin.binary.test_binary_op,test_binary_op_between_dataframe_and_series_axis0[df1-s1-rtruediv],"AssertionError: DataFrame are different +[left]: (4, 7) +[right]: (3, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[True-2-1-4],"AssertionError: DataFrame are different DataFrame shape mismatch -[left]: (4, 3) -[right]: (4, 6)",failed -6406,tests.integ.modin.binary.test_binary_op,test_binary_op_between_dataframe_and_series_axis0[df1-s1-floordiv0],"AssertionError: DataFrame are different +[left]: (3, 7) +[right]: (2, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[True-2-1-None],"AssertionError: DataFrame are different DataFrame shape mismatch -[left]: (4, 3) -[right]: (4, 6)",failed -6407,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[ndarray0-rpow],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -6410,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True-6-6],IndexError: positional indexers are out-of-bounds,failed -6411,tests.integ.modin.binary.test_binary_op,test_binary_op_between_dataframe_and_series_axis0[df1-s1-rfloordiv0],"AssertionError: DataFrame are different +[left]: (4, 7) +[right]: (3, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[True-2-4-10],"AssertionError: DataFrame are different DataFrame shape mismatch -[left]: (4, 3) -[right]: (4, 6)",failed -6413,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index0-add],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -6416,tests.integ.modin.extensions.test_series_extensions,test_series_extension_simple_method,AttributeError: Series object has no attribute new_method,failed -6417,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True-6--6],IndexError: positional indexers are out-of-bounds,failed -6419,tests.integ.modin.binary.test_binary_op,test_binary_op_between_dataframe_and_series_axis0[df1-s1-floordiv1],"AssertionError: DataFrame are different +[left]: (3, 7) +[right]: (2, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[True-2-4-4],"AssertionError: DataFrame are different DataFrame shape mismatch -[left]: (4, 3) -[right]: (4, 6)",failed -6422,tests.integ.modin.extensions.test_series_extensions,test_series_extension_non_method,AttributeError: 'Series' object has no attribute 'four',failed -6423,tests.integ.modin.binary.test_binary_op,test_binary_op_between_dataframe_and_series_axis0[df1-s1-rfloordiv1],"AssertionError: DataFrame are different +[left]: (2, 7) +[right]: (1, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[True-2-4-None],"AssertionError: DataFrame are different DataFrame shape mismatch -[left]: (4, 3) -[right]: (4, 6)",failed -6425,tests.integ.modin.extensions.test_series_extensions,test_series_extension_access_existing_methods,AttributeError: Series object has no attribute self_accessor,failed -6426,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True-6--8],IndexError: index -8 is out of bounds for axis 0 with size 7,failed -6427,tests.integ.modin.extensions.test_series_extensions,test_series_extension_override_method,"assert 6 == 100 - + where 6 = () - + where = 0 1\n1 2\n2 3\ndtype: int64.sum",failed -6430,tests.integ.modin.binary.test_binary_op,test_binary_op_between_dataframe_and_series_axis0[df1-s1-pow],"AssertionError: DataFrame are different +[left]: (3, 7) +[right]: (2, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[True-9-10-10],"AssertionError: DataFrame are different DataFrame shape mismatch -[left]: (4, 3) -[right]: (4, 6)",failed -6431,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index0-radd],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -6433,tests.integ.modin.binary.test_binary_op,test_binary_op_between_dataframe_and_series_axis0[df1-s1-rpow],"AssertionError: DataFrame are different +[left]: (1, 7) +[right]: (0, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[True-9-10-1],"AssertionError: DataFrame are different DataFrame shape mismatch -[left]: (4, 3) -[right]: (4, 6)",failed -6434,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True-6-7],IndexError: positional indexers are out-of-bounds,failed -6437,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index0-sub],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -6441,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True-6-52879115],IndexError: positional indexers are out-of-bounds,failed -6443,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index0-rsub],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -6446,tests.integ.modin.binary.test_binary_op,test_binary_op_between_dataframe_and_series_axis0[df1-s1-add1],"AssertionError: DataFrame are different +[left]: (1, 7) +[right]: (0, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[True-9-10-4],"AssertionError: DataFrame are different DataFrame shape mismatch -[left]: (4, 3) -[right]: (4, 6)",failed -6447,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index0-mul],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -6451,tests.integ.modin.binary.test_binary_op,test_binary_op_between_dataframe_and_series_axis0[df1-s1-radd],"AssertionError: DataFrame are different +[left]: (1, 7) +[right]: (0, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[True-9-10-None],"AssertionError: DataFrame are different DataFrame shape mismatch -[left]: (4, 3) -[right]: (4, 6)",failed -6452,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index0-rmul],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -6455,tests.integ.modin.binary.test_binary_op,test_binary_op_between_dataframe_and_series_axis0[df1-s1-sub1],"AssertionError: DataFrame are different +[left]: (1, 7) +[right]: (0, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[True-9-4-1],"AssertionError: DataFrame are different DataFrame shape mismatch -[left]: (4, 3) -[right]: (4, 6)",failed -6457,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True-6--9028751],IndexError: index -9028751 is out of bounds for axis 0 with size 7,failed -6459,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index0-truediv],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -6462,tests.integ.modin.binary.test_binary_op,test_binary_op_between_dataframe_and_series_axis0[df1-s1-rsub],"AssertionError: DataFrame are different +[left]: (1, 7) +[right]: (0, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice_negative[key0-ValueError-slice step cannot be zero],"AssertionError: Regex pattern did not match. + Regex: 'slice step cannot be zero' + Input: 'Step must not be zero'",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice_negative[key1-TypeError-slice step must be integer],"AssertionError: Regex pattern did not match. + Regex: 'slice step must be integer' + Input: ""Wrong type for value 1.1""",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice_with_unordered_index[-1-1-1],KeyError: 2,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice_with_unordered_index[-1-1-4],KeyError: 2,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice_with_unordered_index[-1-1-6],KeyError: 2,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice_with_unordered_index[-1-1-None],KeyError: 2,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice_with_unordered_index[-1-4-4],"AssertionError: DataFrame are different DataFrame shape mismatch -[left]: (4, 3) -[right]: (4, 6)",failed -6469,tests.integ.modin.binary.test_binary_op,test_binary_op_between_dataframe_and_series_axis0[df1-s1-mul],"AssertionError: DataFrame are different +[left]: (0, 7) +[right]: (1, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice_with_unordered_index[-1-4-None],"AssertionError: DataFrame are different DataFrame shape mismatch -[left]: (4, 3) -[right]: (4, 6)",failed -6470,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index0-rtruediv],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -6475,tests.integ.modin.test_dtype_mapping,"test_read_snowflake_data_types[int8 number-values (-128),(127)-expected_dtype0-expected_to_pandas_dtype0-expected_to_pandas0]","AssertionError: unexpected dtypes [dtype('int8')], expected [int64] -assert False",failed -6478,tests.integ.modin.binary.test_binary_op,test_binary_op_between_dataframe_and_series_axis0[df1-s1-rmul],"AssertionError: DataFrame are different +[left]: (2, 7) +[right]: (3, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice_with_unordered_index[-1-6-1],KeyError: 7,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice_with_unordered_index[-1-6-4],KeyError: 7,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice_with_unordered_index[-1-6-6],KeyError: 7,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice_with_unordered_index[-1-6-None],KeyError: 7,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice_with_unordered_index[-2-1-1],KeyError: 3,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice_with_unordered_index[-2-1-4],KeyError: 3,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice_with_unordered_index[-2-1-6],KeyError: 3,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice_with_unordered_index[-2-1-None],KeyError: 3,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice_with_unordered_index[-2-4-1],"AssertionError: DataFrame are different DataFrame shape mismatch -[left]: (4, 3) -[right]: (4, 6)",failed -6487,tests.integ.modin.binary.test_binary_op,test_binary_op_between_dataframe_and_series_axis0[df1-s1-mod],"AssertionError: DataFrame are different +[left]: (1, 7) +[right]: (0, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice_with_unordered_index[-2-4-4],"AssertionError: DataFrame are different + +DataFrame shape mismatch +[left]: (2, 7) +[right]: (1, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice_with_unordered_index[-2-4-6],"AssertionError: DataFrame are different + +DataFrame shape mismatch +[left]: (1, 7) +[right]: (0, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice_with_unordered_index[-2-4-None],"AssertionError: DataFrame are different + +DataFrame shape mismatch +[left]: (3, 7) +[right]: (2, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice_with_unordered_index[-2-6-1],KeyError: 8,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice_with_unordered_index[-2-6-4],KeyError: 8,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice_with_unordered_index[-2-6-6],KeyError: 8,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice_with_unordered_index[-2-6-None],KeyError: 8,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice_with_unordered_index[-9-1-1],KeyError: 10,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice_with_unordered_index[-9-1-4],KeyError: 10,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice_with_unordered_index[-9-1-6],KeyError: 10,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice_with_unordered_index[-9-1-None],KeyError: 10,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice_with_unordered_index[-9-4-1],KeyError: 13,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice_with_unordered_index[-9-4-4],KeyError: 13,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice_with_unordered_index[-9-4-6],KeyError: 13,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice_with_unordered_index[-9-4-None],KeyError: 13,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice_with_unordered_index[-9-6-1],KeyError: 15,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice_with_unordered_index[-9-6-4],KeyError: 15,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice_with_unordered_index[-9-6-6],KeyError: 15,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice_with_unordered_index[-9-6-None],KeyError: 15,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice_with_unordered_index[1-1-1],"AssertionError: DataFrame are different + +DataFrame shape mismatch +[left]: (0, 7) +[right]: (1, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice_with_unordered_index[1-1-6],"AssertionError: DataFrame are different + +DataFrame shape mismatch +[left]: (0, 7) +[right]: (2, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice_with_unordered_index[1-1-None],"AssertionError: DataFrame are different + +DataFrame shape mismatch +[left]: (1, 7) +[right]: (4, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice_with_unordered_index[1-4-1],KeyError: 3,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice_with_unordered_index[1-4-4],KeyError: 3,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice_with_unordered_index[1-4-6],KeyError: 3,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice_with_unordered_index[1-4-None],KeyError: 3,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice_with_unordered_index[1-6-1],"AssertionError: DataFrame are different + +DataFrame shape mismatch +[left]: (3, 7) +[right]: (0, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice_with_unordered_index[1-6-4],"AssertionError: DataFrame are different + +DataFrame shape mismatch +[left]: (2, 7) +[right]: (0, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice_with_unordered_index[1-6-6],"AssertionError: DataFrame are different + +DataFrame shape mismatch +[left]: (4, 7) +[right]: (1, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice_with_unordered_index[1-6-None],"AssertionError: DataFrame are different + +DataFrame shape mismatch +[left]: (6, 7) +[right]: (3, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice_with_unordered_index[2-1-1],KeyError: -1,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice_with_unordered_index[2-1-4],KeyError: -1,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice_with_unordered_index[2-1-6],KeyError: -1,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice_with_unordered_index[2-1-None],KeyError: -1,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice_with_unordered_index[2-4-1],KeyError: 2,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice_with_unordered_index[2-4-4],KeyError: 2,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice_with_unordered_index[2-4-6],KeyError: 2,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice_with_unordered_index[2-4-None],KeyError: 2,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice_with_unordered_index[2-6-1],"AssertionError: DataFrame are different + +DataFrame shape mismatch +[left]: (1, 7) +[right]: (0, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice_with_unordered_index[2-6-4],"AssertionError: DataFrame are different + +DataFrame shape mismatch +[left]: (1, 7) +[right]: (0, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice_with_unordered_index[2-6-6],"AssertionError: DataFrame are different + +DataFrame shape mismatch +[left]: (2, 7) +[right]: (1, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice_with_unordered_index[2-6-None],"AssertionError: DataFrame are different + +DataFrame shape mismatch +[left]: (3, 7) +[right]: (2, 7)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice_with_unordered_index[9-1-1],KeyError: -8,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice_with_unordered_index[9-1-4],KeyError: -8,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice_with_unordered_index[9-1-6],KeyError: -8,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice_with_unordered_index[9-1-None],KeyError: -8,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice_with_unordered_index[9-4-1],KeyError: -5,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice_with_unordered_index[9-4-4],KeyError: -5,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice_with_unordered_index[9-4-6],KeyError: -5,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice_with_unordered_index[9-4-None],KeyError: -5,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice_with_unordered_index[9-6-1],KeyError: -3,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice_with_unordered_index[9-6-4],KeyError: -3,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice_with_unordered_index[9-6-6],KeyError: -3,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice_with_unordered_index[9-6-None],KeyError: -3,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_negative_row_diff2native[key0-TypeError-Passing a set as an indexer is not supported. Use a list instead.],"AssertionError: Regex pattern did not match. + Regex: 'Passing a set as an indexer is not supported. Use a list instead.' + Input: ""'set' type is unordered""",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_negative_row_diff2native[key1-TypeError-Passing a dict as an indexer is not supported. Use a list instead.],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_negative_row_diff2native[key2-TypeError-Please convert this to Snowpark pandas objects by calling modin],"KeyError: array([2, 4], dtype=object)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_negative_row_diff2native[key3-TypeError-Please convert this to Snowpark pandas objects by calling modin],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_negative_snowpark_pandas_input[dataframe],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[first--1-1-1],KeyError: 2,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[first--1-1-4],KeyError: 2,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[first--1-1-6],KeyError: 2,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[first--1-1-None],KeyError: 2,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[first--1-4-4],"AssertionError: DataFrame are different + +DataFrame shape mismatch +[left]: (5, 8) +[right]: (1, 8)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[first--1-4-None],"AssertionError: DataFrame are different + +DataFrame shape mismatch +[left]: (5, 8) +[right]: (1, 8)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[first--1-6-1],KeyError: 7,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[first--1-6-4],KeyError: 7,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[first--1-6-6],KeyError: 7,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[first--1-6-None],KeyError: 7,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[first--2-1-1],KeyError: 3,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[first--2-1-4],KeyError: 3,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[first--2-1-6],KeyError: 3,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[first--2-1-None],KeyError: 3,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[first--2-4-1],"AssertionError: DataFrame are different + +DataFrame shape mismatch +[left]: (1, 8) +[right]: (0, 8)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[first--2-4-4],"AssertionError: DataFrame are different + +DataFrame shape mismatch +[left]: (4, 8) +[right]: (1, 8)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[first--2-4-6],"AssertionError: DataFrame are different + +DataFrame shape mismatch +[left]: (1, 8) +[right]: (0, 8)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[first--2-4-None],"AssertionError: DataFrame are different DataFrame shape mismatch -[left]: (4, 3) -[right]: (4, 6)",failed -6493,tests.integ.modin.binary.test_binary_op,test_binary_op_between_dataframe_and_series_axis0[df1-s1-rmod],"AssertionError: DataFrame are different +[left]: (4, 8) +[right]: (1, 8)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[first--2-6-1],KeyError: 8,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[first--2-6-4],KeyError: 8,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[first--2-6-6],KeyError: 8,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[first--2-6-None],KeyError: 8,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[first--9-1-1],KeyError: 10,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[first--9-1-4],KeyError: 10,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[first--9-1-6],KeyError: 10,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[first--9-1-None],KeyError: 10,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[first--9-4-1],KeyError: 13,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[first--9-4-4],KeyError: 13,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[first--9-4-6],KeyError: 13,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[first--9-4-None],KeyError: 13,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[first--9-6-1],KeyError: 15,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[first--9-6-4],KeyError: 15,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[first--9-6-6],KeyError: 15,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[first--9-6-None],KeyError: 15,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[last--1-1-1],KeyError: 2,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[last--1-1-4],KeyError: 2,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[last--1-1-6],KeyError: 2,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[last--1-1-None],KeyError: 2,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[last--1-4-1],"AssertionError: DataFrame are different DataFrame shape mismatch -[left]: (4, 3) -[right]: (4, 6)",failed -6498,tests.integ.modin.binary.test_binary_op,test_binary_add_dataframe_and_series_axis0_with_type_mismatch_for_index_negative[df0-s0],Failed: DID NOT RAISE ,failed -6501,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index0-floordiv],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -6504,tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[False--1-4-None],ValueError: Incompatible indexer with DataFrame,failed -6511,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index0-rfloordiv],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -6512,tests.integ.modin.binary.test_binary_op,test_binary_add_dataframe_sub_series_axis1[df0-s0],"AssertionError: DataFrame are different +[left]: (0, 8) +[right]: (3, 8)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[last--1-4-4],"AssertionError: DataFrame are different DataFrame shape mismatch -[left]: (7, 5) -[right]: (2, 7)",failed -6519,tests.integ.modin.binary.test_binary_op,test_binary_add_dataframe_sub_series_axis1[df1-s1],"AssertionError: DataFrame are different +[left]: (0, 8) +[right]: (1, 8)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[last--1-4-6],"AssertionError: DataFrame are different DataFrame shape mismatch -[left]: (4, 3) -[right]: (4, 6)",failed -6522,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index0-mod],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -6524,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True--6--8],IndexError: index -8 is out of bounds for axis 0 with size 7,failed -6525,tests.integ.modin.binary.test_binary_op,test_binary_add_dataframe_sub_series_axis1[df2-s2],"AssertionError: DataFrame are different +[left]: (0, 8) +[right]: (2, 8)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[last--1-4-None],"AssertionError: DataFrame are different DataFrame shape mismatch -[left]: (7, 3) -[right]: (4, 3)",failed -6527,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index0-rmod],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -6529,tests.integ.modin.binary.test_binary_op,test_binary_add_dataframe_sub_series_axis1[df3-s3],"AssertionError: DataFrame are different +[left]: (1, 8) +[right]: (4, 8)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[last--1-6-1],KeyError: 7,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[last--1-6-4],KeyError: 7,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[last--1-6-6],KeyError: 7,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[last--1-6-None],KeyError: 7,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[last--2-1-1],KeyError: 3,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[last--2-1-4],KeyError: 3,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[last--2-1-6],KeyError: 3,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[last--2-1-None],KeyError: 3,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[last--2-4-1],"AssertionError: DataFrame are different DataFrame shape mismatch -[left]: (4, 5) -[right]: (2, 4)",failed -6530,tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[False--1-4-10],ValueError: Incompatible indexer with DataFrame,failed -6531,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True--6-7],IndexError: positional indexers are out-of-bounds,failed -6532,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index0-pow],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -6535,tests.integ.modin.binary.test_binary_op,test_binary_add_dataframe_sub_series_axis1[df4-s4],"AssertionError: DataFrame are different +[left]: (1, 8) +[right]: (2, 8)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[last--2-4-4],"AssertionError: DataFrame are different DataFrame shape mismatch -[left]: (7, 2) -[right]: (4, 6)",failed -6538,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index0-rpow],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -6542,tests.integ.modin.frame.test_apply,test_apply_axis1_with_dynamic_pivot_and_with_3rd_party_libraries_and_decorator[packages0-7],TODO: SNOW-1261830 need to support PandasSeriesType annotation.,xfailed -6543,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True--6-52879115],IndexError: positional indexers are out-of-bounds,failed -6546,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index_with_name0-add],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -6549,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True--6--9028751],IndexError: index -9028751 is out of bounds for axis 0 with size 7,failed -6556,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True--8-0],IndexError: index -8 is out of bounds for axis 0 with size 7,failed -6568,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index_with_name0-radd],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -6569,tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[False-2-None-4],ValueError: Incompatible indexer with DataFrame,failed -6577,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index_with_name0-sub],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -6582,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True--8--3],IndexError: index -8 is out of bounds for axis 0 with size 7,failed -6589,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index_with_name0-rsub],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -6593,tests.integ.modin.test_dtype_mapping,"test_read_snowflake_data_types[int16 number-values (-32768),(32767)-expected_dtype1-expected_to_pandas_dtype1-expected_to_pandas1]","AssertionError: unexpected dtypes [dtype('int16')], expected [int64] -assert False",failed -6595,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True--8-4],IndexError: index -8 is out of bounds for axis 0 with size 7,failed -6600,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index_with_name0-mul],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -6606,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True--8--7],IndexError: index -8 is out of bounds for axis 0 with size 7,failed -6611,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index_with_name0-rmul],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -6616,tests.integ.modin.binary.test_binary_op,test_binary_sub_dataframe_and_dataframe_duplicate_labels_negative[df10-df20-True],Failed: DID NOT RAISE ,failed -6619,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True--8-6],IndexError: index -8 is out of bounds for axis 0 with size 7,failed -6621,tests.integ.modin.binary.test_binary_op,test_binary_sub_dataframe_and_dataframe_duplicate_labels_negative[df11-df21-False],Failed: DID NOT RAISE ,failed -6624,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index_with_name0-truediv],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -6629,tests.integ.modin.binary.test_binary_op,test_binary_sub_dataframe_and_dataframe_duplicate_labels_negative[df12-df22-True],Failed: DID NOT RAISE ,failed -6630,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True--8--6],IndexError: index -8 is out of bounds for axis 0 with size 7,failed -6632,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index_with_name0-rtruediv],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -6635,tests.integ.modin.binary.test_binary_op,test_binary_sub_dataframe_and_dataframe_duplicate_labels_negative[df13-df23-False],Failed: DID NOT RAISE ,failed -6639,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True--8--8],IndexError: index -8 is out of bounds for axis 0 with size 7,failed -6640,tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_bool[row-index with name-key5],IndexError: positional indexers are out-of-bounds,failed -6644,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True--8-7],IndexError: index -8 is out of bounds for axis 0 with size 7,failed -6650,tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_bool[col-list-key1],IndexError: positional indexers are out-of-bounds,failed -6653,tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[False-2-4-1],ValueError: Incompatible indexer with DataFrame,failed -6658,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index_with_name0-floordiv],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -6662,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True--8-52879115],IndexError: index -8 is out of bounds for axis 0 with size 7,failed -6666,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index_with_name0-rfloordiv],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -6672,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True--8--9028751],IndexError: index -9028751 is out of bounds for axis 0 with size 7,failed -6676,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index_with_name0-mod],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -6678,tests.integ.modin.frame.test_aggregate,test_agg_basic[-21],TypeError: NamedAgg.__new__() missing 1 required positional argument: 'aggfunc',failed -6680,tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_bool[col-list-key3],IndexError: positional indexers are out-of-bounds,failed -6683,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True-7-0],IndexError: positional indexers are out-of-bounds,failed -6684,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index_with_name0-rmod],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -6686,tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[False-2-10-4],ValueError: Incompatible indexer with DataFrame,failed -6689,tests.integ.modin.frame.test_aggregate,test_agg_basic[-11],TypeError: NamedAgg.__new__() missing 1 required positional argument: 'aggfunc',failed -6691,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index_with_name0-pow],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -6694,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True-7--3],IndexError: positional indexers are out-of-bounds,failed -6700,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index_with_name0-rpow],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -6701,tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_bool[col-list-key5],IndexError: positional indexers are out-of-bounds,failed -6707,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True-7-4],IndexError: positional indexers are out-of-bounds,failed -6710,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[list1-add],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -6716,tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[False--2-None-1],ValueError: Incompatible indexer with DataFrame,failed -6719,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True-7--7],IndexError: positional indexers are out-of-bounds,failed -6727,tests.integ.modin.test_dtype_mapping,"test_read_snowflake_data_types[int32 number-values (-2147483648),(2147483647)-expected_dtype2-expected_to_pandas_dtype2-expected_to_pandas2]","AssertionError: unexpected dtypes [dtype('int32')], expected [int64] -assert False",failed -6733,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True-7-6],IndexError: positional indexers are out-of-bounds,failed -6737,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[list1-radd],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -6741,tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_bool[col-series-key1],IndexError: positional indexers are out-of-bounds,failed -6745,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[list1-sub],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -6752,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[list1-rsub],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -6754,tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[False--2--1-1],ValueError: Incompatible indexer with DataFrame,failed -6762,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True-7--6],IndexError: positional indexers are out-of-bounds,failed -6765,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[list1-mul],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -6769,tests.integ.modin.frame.test_aggregate,test_corr_negative[kendall],Failed: DID NOT RAISE ,failed -6772,tests.integ.modin.frame.test_aggregate,test_corr_negative[spearman],Failed: DID NOT RAISE ,failed -6774,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True-7--8],IndexError: index -8 is out of bounds for axis 0 with size 7,failed -6775,tests.integ.modin.frame.test_aggregate,test_corr_negative[],Failed: DID NOT RAISE ,failed -6776,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[list1-rmul],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -6784,tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_bool[col-series-key3],IndexError: positional indexers are out-of-bounds,failed -6786,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[list1-truediv],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -6788,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True-7-7],IndexError: positional indexers are out-of-bounds,failed -6794,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[list1-rtruediv],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -6798,tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[False--2-1-4],ValueError: Incompatible indexer with DataFrame,failed -6799,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True-7-52879115],IndexError: positional indexers are out-of-bounds,failed -6807,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True-7--9028751],IndexError: index -9028751 is out of bounds for axis 0 with size 7,failed -6811,tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_bool[col-series-key5],IndexError: positional indexers are out-of-bounds,failed -6814,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True-52879115-0],IndexError: positional indexers are out-of-bounds,failed -6815,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[list1-floordiv],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -6821,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[list1-rfloordiv],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -6822,tests.integ.modin.frame.test_aggregate,test_string_sum_with_nulls,"TypeError: can only concatenate str (not ""int"") to str",failed -6831,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[list1-mod],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -6838,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True-52879115--3],IndexError: positional indexers are out-of-bounds,failed -6839,tests.integ.modin.frame.test_aggregate,test_supported_axis_0[aggregate_max],"AssertionError: Series are different +[left]: (0, 8) +[right]: (1, 8)",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[last--2-6-1],KeyError: 8,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[last--2-6-4],KeyError: 8,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[last--2-6-6],KeyError: 8,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[last--2-6-None],KeyError: 8,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[last--9-1-1],KeyError: 10,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[last--9-1-4],KeyError: 10,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[last--9-1-6],KeyError: 10,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[last--9-1-None],KeyError: 10,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[last--9-4-1],KeyError: 13,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[last--9-4-4],KeyError: 13,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[last--9-4-6],KeyError: 13,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[last--9-4-None],KeyError: 13,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[last--9-6-1],KeyError: 15,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[last--9-6-4],KeyError: 15,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[last--9-6-6],KeyError: 15,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_reversed_key_slice_with_unordered_nullable_index[last--9-6-None],KeyError: 15,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_with_non_monotonic_index_get_key_slice[key0-expected_index0],"KeyError: ""Cannot get left slice bound for non-unique label: 'b'""",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_with_non_monotonic_index_get_key_slice[key1-expected_index1],KeyError: 'a',failed +tests.integ.modin.frame.test_loc,test_df_loc_get_with_non_monotonic_index_get_key_slice[key2-expected_index2],KeyError: 'f',failed +tests.integ.modin.frame.test_loc,test_df_loc_get_with_non_monotonic_index_get_key_slice[key3-expected_index3],"KeyError: ""Cannot get left slice bound for non-unique label: 'd'""",failed +tests.integ.modin.frame.test_loc,test_df_loc_get_with_timedelta[key2-1-1],ValueError: Could not convert object to NumPy timedelta,failed +tests.integ.modin.frame.test_loc,test_df_loc_get_with_timedelta_and_none_key,SNOW-1653219 None key does not work with timedelta index,xfailed +tests.integ.modin.frame.test_loc,test_df_loc_get_with_timedelta_behavior_difference[key0-expected_result0],KeyError: Timedelta('4 days 23:59:59.999999999'),failed +tests.integ.modin.frame.test_loc,test_df_loc_get_with_timedelta_behavior_difference[key1-expected_result1],KeyError: Timedelta('4 days 23:59:59.999999999'),failed +tests.integ.modin.frame.test_loc,test_df_loc_get_with_timedelta_behavior_difference[key2-expected_result2],KeyError: Timedelta('2 days 23:59:59.999999999'),failed +tests.integ.modin.frame.test_loc,test_df_loc_get_with_timedelta_behavior_difference[key3-expected_result3],KeyError: Timedelta('2 days 02:00:00'),failed +tests.integ.modin.frame.test_loc,test_df_loc_self_df_set_aligned_row_key[df2],ValueError: cannot reindex on an axis with duplicate labels,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_2d_array_with_ffill_na_values_negative,"ValueError: could not broadcast input array from shape (2, 4) into shape (4, 4)",failed +tests.integ.modin.frame.test_loc,test_df_loc_set_boolean_row_indexer[item1-X-row_key0],IndexError: index 2 is out of bounds for axis 0 with size 2,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_boolean_row_indexer[item1-col_key2-row_key0],ValueError: Must have equal len keys and value when setting with an iterable,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_boolean_row_indexer[item1-col_key4-row_key0],ValueError: Must have equal len keys and value when setting with an iterable,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_boolean_row_indexer[item1-col_key5-row_key0],ValueError: Must have equal len keys and value when setting with an iterable,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_duplicate_index[duplicate-self_index_val1-index0-x-item0],ValueError: Length of values (2) does not match length of index (4),failed +tests.integ.modin.frame.test_loc,test_df_loc_set_duplicate_index[duplicate-self_index_val1-index1-y-item1],ValueError: Length of values (2) does not match length of index (4),failed +tests.integ.modin.frame.test_loc,test_df_loc_set_duplicate_index[duplicate-self_index_val1-index2-x-item2],ValueError: cannot reindex on an axis with duplicate labels,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_duplicate_index[duplicate-self_index_val1-index3-y-item3],ValueError: cannot reindex on an axis with duplicate labels,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_duplicate_index[duplicate-self_index_val1-index4-columns4-item4],ValueError: Length of values (2) does not match length of index (4),failed +tests.integ.modin.frame.test_loc,test_df_loc_set_duplicate_index[duplicate-self_index_val1-index5-columns5-item5],ValueError: Length of values (2) does not match length of index (4),failed +tests.integ.modin.frame.test_loc,test_df_loc_set_duplicate_index_negative[index0-columns0-item0],ValueError: Length of values (2) does not match length of index (4),failed +tests.integ.modin.frame.test_loc,test_df_loc_set_general_col_key_type[array-row_key0-col_key10],"KeyError: array(['E', 1, 'X', 2], dtype=object)",failed +tests.integ.modin.frame.test_loc,test_df_loc_set_general_col_key_type[array-row_key0-col_key6],"AssertionError: DataFrame are different -Series values are different (25.0 %) -[index]: [A, B, C, D] -[left]: [345600000000000, 360000000000, -9223372036854775808, -9223372036854775808] -[right]: [345600000000000, 360000000000, 5, -9223372036854775808]",failed -6840,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[list1-rmod],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -6849,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[list1-pow],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -6850,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True-52879115-4],IndexError: positional indexers are out-of-bounds,failed -6855,tests.integ.modin.frame.test_aggregate,test_supported_axis_0[mean],TypeError: timedelta64[ns] is not a numeric data type,failed -6856,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[list1-rpow],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -6858,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True-52879115--7],IndexError: positional indexers are out-of-bounds,failed -6860,tests.integ.modin.frame.test_aggregate,test_supported_axis_0[median],TypeError: timedelta64[ns] is not a numeric data type,failed -6862,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[ndarray1-add],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -6864,tests.integ.modin.frame.test_aggregate,test_supported_axis_0[std],TypeError: timedelta64[ns] is not a numeric data type,failed -6867,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True-52879115-6],IndexError: positional indexers are out-of-bounds,failed -6869,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[ndarray1-radd],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -6870,tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[False-9-None-None],ValueError: Incompatible indexer with DataFrame,failed -6873,tests.integ.modin.frame.test_aggregate,test_axis_1,[XPASS(strict)] SNOW-1653126,failed -6875,tests.integ.modin.frame.test_aggregate,test_var_invalid,"AssertionError: Regex pattern did not match. - Regex: 'timedelta64\\ type\\ does\\ not\\ support\\ var\\ operations' - Input: 'timedelta64[ns] is not a numeric data type'",failed -6877,tests.integ.modin.frame.test_aggregate,test_agg_requires_concat_with_timedelta[0],"[XPASS(strict)] requires concat(), which we cannot do with Timedelta.",failed -6878,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True-52879115--6],IndexError: positional indexers are out-of-bounds,failed -6880,tests.integ.modin.frame.test_aggregate,test_agg_requires_concat_with_timedelta[1],"[XPASS(strict)] requires concat(), which we cannot do with Timedelta.",failed -6881,tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[False-9-None--1],ValueError: Incompatible indexer with DataFrame,failed -6883,tests.integ.modin.frame.test_aggregate,test_agg_requires_concat_with_timedelta[2],TypeError: NamedAgg.__new__() missing 1 required positional argument: 'aggfunc',failed -6885,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True-52879115--8],IndexError: index -8 is out of bounds for axis 0 with size 7,failed -6887,tests.integ.modin.frame.test_aggregate,test_agg_requires_concat_with_timedelta[3],"[XPASS(strict)] requires concat(), which we cannot do with Timedelta.",failed -6889,tests.integ.modin.frame.test_aggregate,test_agg_requires_concat_with_timedelta[4],"[XPASS(strict)] requires concat(), which we cannot do with Timedelta.",failed -6890,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[ndarray1-sub],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -6892,tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[False-9-None-1],ValueError: Incompatible indexer with DataFrame,failed -6894,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True-52879115-7],IndexError: positional indexers are out-of-bounds,failed -6895,tests.integ.modin.frame.test_aggregate,test_agg_requires_concat_with_timedelta[5],TypeError: NamedAgg.__new__() missing 1 required positional argument: 'aggfunc',failed -6897,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[ndarray1-rsub],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -6898,tests.integ.modin.frame.test_aggregate,test_agg_requires_concat_with_timedelta[6],"[XPASS(strict)] requires concat(), which we cannot do with Timedelta.",failed -6900,tests.integ.modin.frame.test_aggregate,test_agg_produces_timedelta_and_non_timedelta_type,[XPASS(strict)] requires transposing a one-row frame with integer and timedelta.,failed -6904,tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[False-9-None-4],ValueError: Incompatible indexer with DataFrame,failed -6905,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[ndarray1-mul],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -6913,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[ndarray1-rmul],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -6919,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[ndarray1-truediv],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -6920,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True-52879115-52879115],IndexError: positional indexers are out-of-bounds,failed -6925,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[ndarray1-rtruediv],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -6927,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True-52879115--9028751],IndexError: index -9028751 is out of bounds for axis 0 with size 7,failed -6933,tests.integ.modin.frame.test_aggregate,test_single_agg_on_dup_column,"ValueError: Data must be 1-dimensional, got ndarray of shape (1, 2) instead",failed -6934,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True--9028751-0],IndexError: index -9028751 is out of bounds for axis 0 with size 7,failed -6940,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True--9028751--3],IndexError: index -9028751 is out of bounds for axis 0 with size 7,failed -6942,tests.integ.modin.frame.test_aggregate,test_single_agg_on_dup_and_non_dup_columns[dup_first],"ValueError: Data must be 1-dimensional, got ndarray of shape (2, 2) instead",failed -6944,tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_bool[col-index-key1],IndexError: positional indexers are out-of-bounds,failed -6946,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[ndarray1-floordiv],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -6949,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True--9028751-4],IndexError: index -9028751 is out of bounds for axis 0 with size 7,failed -6952,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[ndarray1-rfloordiv],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -6956,tests.integ.modin.frame.test_aggregate,test_single_agg_on_dup_and_non_dup_columns[dup_last],"ValueError: Data must be 1-dimensional, got ndarray of shape (2, 2) instead",failed -6957,tests.integ.modin.test_dtype_mapping,"test_read_snowflake_data_types["">int64"" number-values (-99999999999999999999999999999999999999),(99999999999999999999999999999999999999)-expected_dtype4-expected_to_pandas_dtype4-expected_to_pandas4]","AssertionError: unexpected dtypes [dtype('float64')], expected [int64] -assert False",failed -6958,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True--9028751--7],IndexError: index -9028751 is out of bounds for axis 0 with size 7,failed -6961,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[ndarray1-mod],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -6966,tests.integ.modin.frame.test_aggregate,test_multiple_agg_on_dup_and_single_agg_on_non_dup_columns,"ValueError: Data must be 1-dimensional, got ndarray of shape (3, 2) instead",failed -6969,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[ndarray1-rmod],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -6973,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[ndarray1-pow],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -6974,tests.integ.modin.frame.test_aggregate,test_multiple_agg_on_only_dup_columns,"ValueError: Data must be 1-dimensional, got ndarray of shape (2, 3) instead",failed -6975,tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[False-9-10-None],ValueError: Incompatible indexer with DataFrame,failed -6978,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True--9028751-6],IndexError: index -9028751 is out of bounds for axis 0 with size 7,failed -6981,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[ndarray1-rpow],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -6982,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True--9028751--6],IndexError: index -9028751 is out of bounds for axis 0 with size 7,failed -6984,tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[False-9-10--1],ValueError: Incompatible indexer with DataFrame,failed -6986,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index1-add],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -6988,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True--9028751--8],IndexError: index -8 is out of bounds for axis 0 with size 7,failed -6992,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True--9028751-7],IndexError: index -9028751 is out of bounds for axis 0 with size 7,failed -6996,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True--9028751-52879115],IndexError: index -9028751 is out of bounds for axis 0 with size 7,failed -6997,tests.integ.modin.frame.test_aggregate,test_agg_with_all_missing[-2],TypeError: boolean value of NA is ambiguous,failed -7000,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index1-radd],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -7005,tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[False-9-10-1],ValueError: Incompatible indexer with DataFrame,failed -7007,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[True--9028751--9028751],IndexError: index -9028751 is out of bounds for axis 0 with size 7,failed -7010,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index1-sub],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -7021,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index1-rsub],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -7026,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index1-mul],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -7027,tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[False--9-None-None],ValueError: Incompatible indexer with DataFrame,failed -7033,tests.integ.modin.frame.test_aggregate,test_agg_with_all_missing_pandas_bug_58810,IndexError: positional indexers are out-of-bounds,failed -7034,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index1-rmul],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -7043,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index1-truediv],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -7045,tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[False--9-None-1],ValueError: Incompatible indexer with DataFrame,failed -7048,tests.integ.modin.frame.test_aggregate,test_agg_quantile_kwargs[q2-None],"[XPASS(strict)] SNOW-1062878: agg(""quantile"") with list-like q fails",failed -7052,tests.integ.modin.frame.test_aggregate,test_agg_quantile_kwargs[q2-linear],"[XPASS(strict)] SNOW-1062878: agg(""quantile"") with list-like q fails",failed -7053,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index1-rtruediv],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -7054,tests.integ.modin.frame.test_aggregate,test_agg_quantile_kwargs[q2-nearest],"[XPASS(strict)] SNOW-1062878: agg(""quantile"") with list-like q fails",failed -7057,tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[False--9-None-4],ValueError: Incompatible indexer with DataFrame,failed -7060,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index1-floordiv],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -7062,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False-0--8],IndexError: index -8 is out of bounds for axis 0 with size 7,failed -7067,tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[False--9-None-10],ValueError: Incompatible indexer with DataFrame,failed -7074,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index1-rfloordiv],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -7077,tests.integ.modin.frame.test_aggregate,test_agg_with_variant,TypeError: '<' not supported between instances of 'NoneType' and 'NoneType',failed -7081,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index1-mod],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -7086,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False-0-7],IndexError: positional indexers are out-of-bounds,failed -7092,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index1-rmod],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -7098,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False-0-52879115],IndexError: positional indexers are out-of-bounds,failed -7102,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index1-pow],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -7108,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False-0--9028751],IndexError: index -9028751 is out of bounds for axis 0 with size 7,failed -7110,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index1-rpow],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -7120,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index_with_name1-add],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -7128,tests.integ.modin.frame.test_aggregate,test_agg_with_multiindex_negative[0],[XPASS(strict)] SNOW-1010307: MultiIndex aggregation on axis=1 not supported,failed -7129,tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_bool[col-index-key3],IndexError: positional indexers are out-of-bounds,failed -7132,tests.integ.modin.frame.test_aggregate,test_agg_with_multiindex_negative[1],[XPASS(strict)] SNOW-1010307: MultiIndex aggregation on axis=1 not supported,failed -7134,tests.integ.modin.frame.test_aggregate,test_agg_with_multiindex_negative[2],[XPASS(strict)] SNOW-1010307: MultiIndex aggregation on axis=1 not supported,failed -7149,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index_with_name1-radd],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -7153,tests.integ.modin.frame.test_aggregate,test_agg_with_no_column_raises[pandas_df0],"AssertionError: Regex pattern did not match. - Regex: 'No column to aggregate on' - Input: 'No objects to concatenate'",failed -7155,tests.integ.modin.frame.test_aggregate,test_agg_with_no_column_raises[pandas_df1],"AssertionError: Regex pattern did not match. - Regex: 'No column to aggregate on' - Input: 'No objects to concatenate'",failed -7159,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index_with_name1-sub],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -7163,tests.integ.modin.frame.test_aggregate,test_agg_with_single_col[-False0],AssertionError: Got type: ,failed -7167,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index_with_name1-rsub],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -7174,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index_with_name1-mul],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -7176,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False--3--8],IndexError: index -8 is out of bounds for axis 0 with size 7,failed -7181,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index_with_name1-rmul],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -7187,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False--3-7],IndexError: positional indexers are out-of-bounds,failed -7193,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index_with_name1-truediv],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -7199,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False--3-52879115],IndexError: positional indexers are out-of-bounds,failed -7201,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index_with_name1-rtruediv],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -7211,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index_with_name1-floordiv],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -7217,tests.integ.modin.frame.test_aggregate,test_ddof_fallback_negative[std],Failed: DID NOT RAISE ,failed -7221,tests.integ.modin.frame.test_aggregate,test_ddof_fallback_negative[var],Failed: DID NOT RAISE ,failed -7223,tests.integ.modin.binary.test_binary_op,test_binary_bitwise_op_on_df[df10-df20--expected0],"AssertionError: DataFrame.iloc[:, 1] (column name=""1"") are different +DataFrame shape mismatch +[left]: (3, 8) +[right]: (3, 4)",failed +tests.integ.modin.frame.test_loc,test_df_loc_set_general_col_key_type[array-row_key0-col_key8],"AssertionError: DataFrame.iloc[:, 0] (column name=""D"") are different -DataFrame.iloc[:, 1] (column name=""1"") values are different (66.66667 %) +DataFrame.iloc[:, 0] (column name=""D"") values are different (66.66667 %) [index]: [0, 1, 2] -[left]: [False, False, False] -[right]: [None, False, None]",failed -7227,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False--3--9028751],IndexError: index -9028751 is out of bounds for axis 0 with size 7,failed -7230,tests.integ.modin.binary.test_binary_op,test_binary_bitwise_op_on_df[df10-df20--expected1],"AssertionError: DataFrame.iloc[:, 0] (column name=""0"") are different +[left]: [nan, 4.0, nan] +[right]: [1.0, 4.0, 7.0] +At positional index 0, first diff: nan != 1.0",failed +tests.integ.modin.frame.test_loc,test_df_loc_set_general_col_key_type[array-row_key0-col_key9],"KeyError: array(['1', '2'], dtype='2],AssertionError,failed -7248,tests.integ.modin.binary.test_binary_op,test_binary_single_row_dataframe_and_series[3],AssertionError,failed -7251,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index_with_name1-mod],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -7260,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index_with_name1-rmod],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -7268,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index_with_name1-pow],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -7275,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_1[index_with_name1-rpow],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -7281,tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_bool[col-index-key5],IndexError: positional indexers are out-of-bounds,failed -7282,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[list0-add],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -7284,tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True-None-4-4],ValueError: Incompatible indexer with DataFrame,failed -7286,tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_bool[col-ndarray-key0],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -7290,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False-4--8],IndexError: index -8 is out of bounds for axis 0 with size 7,failed -7292,tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_bool[col-ndarray-key1],IndexError: positional indexers are out-of-bounds,failed -7297,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False-4-7],IndexError: positional indexers are out-of-bounds,failed -7298,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[list0-radd],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -7302,tests.integ.modin.binary.test_timedelta,test_timedelta_dataframe_bitwise_operation_with_timedelta_scalar[__or__-|],"AssertionError: Regex pattern did not match. - Regex: 'unsupported\\ operand\\ type\\ for\\ \\|:\\ Timedelta' - Input: ""unsupported operand type(s) for |: 'TimedeltaArray' and 'Timedelta'""",failed -7304,tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_bool[col-ndarray-key3],IndexError: positional indexers are out-of-bounds,failed -7305,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[list0-sub],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -7306,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False-4-52879115],IndexError: positional indexers are out-of-bounds,failed -7307,tests.integ.modin.binary.test_timedelta,test_timedelta_dataframe_bitwise_operation_with_timedelta_scalar[__ror__-|],"AssertionError: Regex pattern did not match. - Regex: 'unsupported\\ operand\\ type\\ for\\ \\|:\\ Timedelta' - Input: ""unsupported operand type(s) for |: 'Timedelta' and 'TimedeltaArray'""",failed -7310,tests.integ.modin.binary.test_timedelta,test_timedelta_dataframe_bitwise_operation_with_timedelta_scalar[__and__-&],"AssertionError: Regex pattern did not match. - Regex: 'unsupported\\ operand\\ type\\ for\\ \\&:\\ Timedelta' - Input: ""unsupported operand type(s) for &: 'TimedeltaArray' and 'Timedelta'""",failed -7313,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[list0-rsub],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -7314,tests.integ.modin.binary.test_timedelta,test_timedelta_dataframe_bitwise_operation_with_timedelta_scalar[__rand__-&],"AssertionError: Regex pattern did not match. - Regex: 'unsupported\\ operand\\ type\\ for\\ \\&:\\ Timedelta' - Input: ""unsupported operand type(s) for &: 'Timedelta' and 'TimedeltaArray'""",failed -7316,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False-4--9028751],IndexError: index -9028751 is out of bounds for axis 0 with size 7,failed -7318,tests.integ.modin.binary.test_timedelta,test_timedelta_dataframe_exponentiation_with_timedelta_scalar[pow],"AssertionError: Regex pattern did not match. - Regex: 'unsupported\\ operand\\ type\\ for\\ \\*\\*:\\ Timedelta' - Input: 'cannot perform __pow__ with this index type: TimedeltaArray'",failed -7320,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[list0-mul],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -7321,tests.integ.modin.binary.test_timedelta,test_timedelta_dataframe_exponentiation_with_timedelta_scalar[rpow],"AssertionError: Regex pattern did not match. - Regex: 'unsupported\\ operand\\ type\\ for\\ \\*\\*:\\ Timedelta' - Input: 'cannot perform __rpow__ with this index type: TimedeltaArray'",failed -7323,tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_bool[col-ndarray-key5],IndexError: positional indexers are out-of-bounds,failed -7324,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False--7-0],IndexError: index -7 is out of bounds for axis 0 with size 6,failed -7329,tests.integ.modin.binary.test_timedelta,test_timedelta_addition_and_subtraction_with_numeric[1-add],"AssertionError: Regex pattern did not match. - Regex: 'Snowpark\\ pandas\\ does\\ not\\ support\\ addition\\ or\\ subtraction\\ between\\ timedelta\\ values\\ and\\ numeric\\ values\\.' - Input: 'Addition/subtraction of integers and integer-arrays with TimedeltaArray is no longer supported. Instead of adding/subtracting `n`, use `n * obj.freq`'",failed -7330,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[list0-rmul],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -7332,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False--7--3],IndexError: index -7 is out of bounds for axis 0 with size 6,failed -7334,tests.integ.modin.test_dtype_mapping,"test_read_snowflake_data_types[bool_with_null boolean-values (true),(null)-expected_dtype7-expected_to_pandas_dtype7-expected_to_pandas7]","AssertionError: unexpected dtypes [dtype('O')], expected [bool] -assert False",failed -7335,tests.integ.modin.binary.test_timedelta,test_timedelta_addition_and_subtraction_with_numeric[1-radd],"AssertionError: Regex pattern did not match. - Regex: 'Snowpark\\ pandas\\ does\\ not\\ support\\ addition\\ or\\ subtraction\\ between\\ timedelta\\ values\\ and\\ numeric\\ values\\.' - Input: 'Addition/subtraction of integers and integer-arrays with TimedeltaArray is no longer supported. Instead of adding/subtracting `n`, use `n * obj.freq`'",failed -7337,tests.integ.modin.binary.test_timedelta,test_timedelta_addition_and_subtraction_with_numeric[1-sub],"AssertionError: Regex pattern did not match. - Regex: 'Snowpark\\ pandas\\ does\\ not\\ support\\ addition\\ or\\ subtraction\\ between\\ timedelta\\ values\\ and\\ numeric\\ values\\.' - Input: 'Addition/subtraction of integers and integer-arrays with TimedeltaArray is no longer supported. Instead of adding/subtracting `n`, use `n * obj.freq`'",failed -7338,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[list0-truediv],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -7340,tests.integ.modin.binary.test_timedelta,test_timedelta_addition_and_subtraction_with_numeric[1-rsub],"AssertionError: Regex pattern did not match. - Regex: 'Snowpark\\ pandas\\ does\\ not\\ support\\ addition\\ or\\ subtraction\\ between\\ timedelta\\ values\\ and\\ numeric\\ values\\.' - Input: 'Addition/subtraction of integers and integer-arrays with TimedeltaArray is no longer supported. Instead of adding/subtracting `n`, use `n * obj.freq`'",failed -7343,tests.integ.modin.binary.test_timedelta,test_timedelta_addition_and_subtraction_with_numeric[1.5-add],"AssertionError: Regex pattern did not match. - Regex: 'Snowpark\\ pandas\\ does\\ not\\ support\\ addition\\ or\\ subtraction\\ between\\ timedelta\\ values\\ and\\ numeric\\ values\\.' - Input: ""unsupported operand type(s) for +: 'TimedeltaArray' and 'float'""",failed -7344,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[list0-rtruediv],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -7345,tests.integ.modin.binary.test_timedelta,test_timedelta_addition_and_subtraction_with_numeric[1.5-radd],"AssertionError: Regex pattern did not match. - Regex: 'Snowpark\\ pandas\\ does\\ not\\ support\\ addition\\ or\\ subtraction\\ between\\ timedelta\\ values\\ and\\ numeric\\ values\\.' - Input: ""unsupported operand type(s) for +: 'float' and 'TimedeltaArray'""",failed -7348,tests.integ.modin.binary.test_timedelta,test_timedelta_addition_and_subtraction_with_numeric[1.5-sub],"AssertionError: Regex pattern did not match. - Regex: 'Snowpark\\ pandas\\ does\\ not\\ support\\ addition\\ or\\ subtraction\\ between\\ timedelta\\ values\\ and\\ numeric\\ values\\.' - Input: ""unsupported operand type(s) for -: 'TimedeltaArray' and 'float'""",failed -7350,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[list0-floordiv],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -7351,tests.integ.modin.binary.test_timedelta,test_timedelta_addition_and_subtraction_with_numeric[1.5-rsub],"AssertionError: Regex pattern did not match. - Regex: 'Snowpark\\ pandas\\ does\\ not\\ support\\ addition\\ or\\ subtraction\\ between\\ timedelta\\ values\\ and\\ numeric\\ values\\.' - Input: ""unsupported operand type(s) for +: 'TimedeltaArray' and 'float'""",failed -7354,tests.integ.modin.binary.test_timedelta,test_timedelta_divide_number_dataframe_by_timedelta_scalar[div],AssertionError: exception type does not match with expected type ,failed -7355,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False--7-4],IndexError: index -7 is out of bounds for axis 0 with size 6,failed -7357,tests.integ.modin.binary.test_timedelta,test_timedelta_divide_number_dataframe_by_timedelta_scalar[floordiv],"AssertionError: Regex pattern did not match. - Regex: 'Snowpark\\ pandas\\ does\\ not\\ support\\ dividing\\ numeric\\ values\\ by\\ timedelta\\ values\\ with\\ div\\ \\(/\\),\\ mod\\ \\(%\\),\\ or\\ floordiv\\ \\(//\\)\\.' - Input: 'Invalid dtype int64 for __floordiv__'",failed -7359,tests.integ.modin.binary.test_timedelta,test_timedelta_divide_number_dataframe_by_timedelta_scalar[truediv],AssertionError: exception type does not match with expected type ,failed -7361,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False--7--7],IndexError: index -7 is out of bounds for axis 0 with size 6,failed -7362,tests.integ.modin.binary.test_timedelta,test_timedelta_divide_number_dataframe_by_timedelta_scalar[mod],"AssertionError: Regex pattern did not match. - Regex: 'Snowpark\\ pandas\\ does\\ not\\ support\\ dividing\\ numeric\\ values\\ by\\ timedelta\\ values\\ with\\ div\\ \\(/\\),\\ mod\\ \\(%\\),\\ or\\ floordiv\\ \\(//\\)\\.' - Input: 'Invalid dtype int64 for __floordiv__'",failed -7365,tests.integ.modin.binary.test_timedelta,test_divide_number_scalar_by_timedelta_dataframe[rdiv],"AssertionError: Regex pattern did not match. - Regex: 'Snowpark\\ pandas\\ does\\ not\\ support\\ dividing\\ numeric\\ values\\ by\\ timedelta\\ values\\ with\\ div\\ \\(/\\),\\ mod\\ \\(%\\),\\ or\\ floordiv\\ \\(//\\)\\.' - Input: 'Cannot divide int by TimedeltaArray'",failed -7367,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False--7-6],IndexError: index -7 is out of bounds for axis 0 with size 6,failed -7369,tests.integ.modin.binary.test_timedelta,test_divide_number_scalar_by_timedelta_dataframe[rfloordiv],"AssertionError: Regex pattern did not match. - Regex: 'Snowpark\\ pandas\\ does\\ not\\ support\\ dividing\\ numeric\\ values\\ by\\ timedelta\\ values\\ with\\ div\\ \\(/\\),\\ mod\\ \\(%\\),\\ or\\ floordiv\\ \\(//\\)\\.' - Input: 'Cannot divide int by TimedeltaArray'",failed -7370,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[list0-rfloordiv],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -7372,tests.integ.modin.binary.test_timedelta,test_divide_number_scalar_by_timedelta_dataframe[rtruediv],"AssertionError: Regex pattern did not match. - Regex: 'Snowpark\\ pandas\\ does\\ not\\ support\\ dividing\\ numeric\\ values\\ by\\ timedelta\\ values\\ with\\ div\\ \\(/\\),\\ mod\\ \\(%\\),\\ or\\ floordiv\\ \\(//\\)\\.' - Input: 'Cannot divide int by TimedeltaArray'",failed -7375,tests.integ.modin.binary.test_timedelta,test_divide_number_scalar_by_timedelta_dataframe[rmod],"AssertionError: Regex pattern did not match. - Regex: 'Snowpark\\ pandas\\ does\\ not\\ support\\ dividing\\ numeric\\ values\\ by\\ timedelta\\ values\\ with\\ div\\ \\(/\\),\\ mod\\ \\(%\\),\\ or\\ floordiv\\ \\(//\\)\\.' - Input: 'Cannot divide int by TimedeltaArray'",failed -7377,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False--7--6],IndexError: index -7 is out of bounds for axis 0 with size 6,failed -7379,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[list0-mod],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -7381,tests.integ.modin.binary.test_timedelta,test_timedelta_less_than_or_greater_than_numeric[gt],"AssertionError: Regex pattern did not match. - Regex: 'Snowpark\\ pandas\\ does\\ not\\ support\\ binary\\ operation\\ gt\\ between\\ timedelta\\ and\\ a\\ non\\-timedelta\\ type' - Input: 'Invalid comparison between dtype=timedelta64[ns] and int'",failed -7385,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False--7--8],IndexError: index -8 is out of bounds for axis 0 with size 7,failed -7387,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[list0-rmod],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -7393,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[list0-pow],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -7396,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False--7-7],IndexError: positional indexers are out-of-bounds,failed -7398,tests.integ.modin.frame.test_aggregate,test_agg_axis_1_simple[size],AssertionError: Got type: ,failed -7399,tests.integ.modin.binary.test_timedelta,test_timedelta_less_than_or_greater_than_numeric[ge],"AssertionError: Regex pattern did not match. - Regex: 'Snowpark\\ pandas\\ does\\ not\\ support\\ binary\\ operation\\ ge\\ between\\ timedelta\\ and\\ a\\ non\\-timedelta\\ type' - Input: 'Invalid comparison between dtype=timedelta64[ns] and int'",failed -7400,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[list0-rpow],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -7404,tests.integ.modin.binary.test_timedelta,test_timedelta_less_than_or_greater_than_numeric[lt],"AssertionError: Regex pattern did not match. - Regex: 'Snowpark\\ pandas\\ does\\ not\\ support\\ binary\\ operation\\ lt\\ between\\ timedelta\\ and\\ a\\ non\\-timedelta\\ type' - Input: 'Invalid comparison between dtype=timedelta64[ns] and int'",failed -7407,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False--7-52879115],IndexError: positional indexers are out-of-bounds,failed -7408,tests.integ.modin.binary.test_timedelta,test_timedelta_less_than_or_greater_than_numeric[le],"AssertionError: Regex pattern did not match. - Regex: 'Snowpark\\ pandas\\ does\\ not\\ support\\ binary\\ operation\\ le\\ between\\ timedelta\\ and\\ a\\ non\\-timedelta\\ type' - Input: 'Invalid comparison between dtype=timedelta64[ns] and int'",failed -7410,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[ndarray0-add],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -7412,tests.integ.modin.binary.test_timedelta,test_pow_timedelta_numeric[pow],"AssertionError: Regex pattern did not match. - Regex: 'Snowpark\\ pandas\\ does\\ not\\ support\\ binary\\ operation\\ pow\\ between\\ timedelta\\ and\\ a\\ non\\-timedelta\\ type' - Input: 'cannot perform __pow__ with this index type: TimedeltaArray'",failed -7417,tests.integ.modin.binary.test_timedelta,test_pow_timedelta_numeric[rpow],"AssertionError: Regex pattern did not match. - Regex: 'Snowpark\\ pandas\\ does\\ not\\ support\\ binary\\ operation\\ pow\\ between\\ timedelta\\ and\\ a\\ non\\-timedelta\\ type' - Input: 'cannot perform __rpow__ with this index type: TimedeltaArray'",failed -7420,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[ndarray0-radd],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -7422,tests.integ.modin.binary.test_timedelta,test_invalid_ops_between_timedelta_dataframe_and_string_scalar[pow-Numeric],AssertionError: exception type does not match with expected type ,failed -7424,tests.integ.modin.binary.test_timedelta,test_invalid_ops_between_timedelta_dataframe_and_string_scalar[rpow-Numeric],AssertionError: exception type does not match with expected type ,failed -7426,tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True--1--1-None],ValueError: Incompatible indexer with DataFrame,failed -7428,tests.integ.modin.binary.test_timedelta,test_invalid_ops_between_timedelta_dataframe_and_string_scalar[__and__-Boolean],AssertionError: exception type does not match with expected type ,failed -7431,tests.integ.modin.binary.test_timedelta,test_invalid_ops_between_timedelta_dataframe_and_string_scalar[__rand__-Boolean],AssertionError: exception type does not match with expected type ,failed -7432,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False--7--9028751],IndexError: index -9028751 is out of bounds for axis 0 with size 7,failed -7434,tests.integ.modin.binary.test_timedelta,test_invalid_ops_between_timedelta_dataframe_and_string_scalar[__or__-Boolean],AssertionError: exception type does not match with expected type ,failed -7437,tests.integ.modin.binary.test_timedelta,test_invalid_ops_between_timedelta_dataframe_and_string_scalar[__ror__-Boolean],AssertionError: exception type does not match with expected type ,failed -7439,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[ndarray0-sub],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -7441,tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True--1--1--1],ValueError: Incompatible indexer with DataFrame,failed -7442,tests.integ.modin.binary.test_timedelta,test_bitwise_timedelta_numeric[__or__-__or__],"AssertionError: Regex pattern did not match. - Regex: 'Snowpark\\ pandas\\ does\\ not\\ support\\ binary\\ operation\\ __or__\\ between\\ timedelta\\ and\\ a\\ non\\-timedelta\\ type' - Input: ""unsupported operand type(s) for |: 'TimedeltaArray' and 'int'""",failed -7443,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False-6-0],IndexError: positional indexers are out-of-bounds,failed -7447,tests.integ.modin.binary.test_timedelta,test_bitwise_timedelta_numeric[__and__-__and__],"AssertionError: Regex pattern did not match. - Regex: 'Snowpark\\ pandas\\ does\\ not\\ support\\ binary\\ operation\\ __and__\\ between\\ timedelta\\ and\\ a\\ non\\-timedelta\\ type' - Input: ""unsupported operand type(s) for &: 'TimedeltaArray' and 'int'""",failed -7448,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[ndarray0-rsub],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -7452,tests.integ.modin.binary.test_timedelta,test_bitwise_timedelta_numeric[__ror__-__or__],"AssertionError: Regex pattern did not match. - Regex: 'Snowpark\\ pandas\\ does\\ not\\ support\\ binary\\ operation\\ __or__\\ between\\ timedelta\\ and\\ a\\ non\\-timedelta\\ type' - Input: ""unsupported operand type(s) for |: 'int' and 'TimedeltaArray'""",failed -7453,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False-6--3],IndexError: positional indexers are out-of-bounds,failed -7455,tests.integ.modin.binary.test_timedelta,test_bitwise_timedelta_numeric[__rand__-__and__],"AssertionError: Regex pattern did not match. - Regex: 'Snowpark\\ pandas\\ does\\ not\\ support\\ binary\\ operation\\ __and__\\ between\\ timedelta\\ and\\ a\\ non\\-timedelta\\ type' - Input: ""unsupported operand type(s) for &: 'int' and 'TimedeltaArray'""",failed -7457,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[ndarray0-mul],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -7460,tests.integ.modin.binary.test_timedelta,test_timedelta_mod_with_negative_timedelta[3--2--1-1],"AssertionError: Series are different - -Series values are different (100.0 %) -[index]: [0] -[left]: [-1] -[right]: [1]",failed -7463,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False-6-4],IndexError: positional indexers are out-of-bounds,failed -7466,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[ndarray0-rmul],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -7467,tests.integ.modin.binary.test_timedelta,test_timedelta_mod_with_negative_timedelta[-3-2-1--1],"AssertionError: Series are different - -Series values are different (100.0 %) -[index]: [0] -[left]: [1] -[right]: [-1]",failed -7474,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[ndarray0-truediv],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -7475,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False-6--7],IndexError: positional indexers are out-of-bounds,failed -7479,tests.integ.modin.binary.test_timedelta,test_divide_timedelta_by_zero_timedelta,Failed: DID NOT RAISE ,failed -7482,tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_bool[col-index with name-key1],IndexError: positional indexers are out-of-bounds,failed -7483,tests.integ.modin.binary.test_timedelta,test_divide_timdelta_by_zero_integer,Failed: DID NOT RAISE ,failed -7485,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[ndarray0-rtruediv],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -7486,tests.integ.modin.binary.test_timedelta,test_floordiv_timedelta_by_zero_timedelta,Failed: DID NOT RAISE ,failed -7489,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False-6-6],IndexError: positional indexers are out-of-bounds,failed -7490,tests.integ.modin.binary.test_timedelta,test_floordiv_timedelta_by_zero_integer,Failed: DID NOT RAISE ,failed -7494,tests.integ.modin.binary.test_timedelta,test_mod_timedelta_by_zero_timedelta,"AssertionError: Series are different - -Series values are different (100.0 %) -[index]: [0] -[left]: [1] -[right]: [-9223372036854775808]",failed -7510,tests.integ.modin.binary.test_timedelta,test_comparison_with_null[eq],"AssertionError: DataFrame.iloc[:, 0] (column name=""0"") are different - -DataFrame.iloc[:, 0] (column name=""0"") values are different (100.0 %) -[index]: [0, 1] -[left]: [False, False] -[right]: [None, None]",failed -7512,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[ndarray0-floordiv],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -7515,tests.integ.modin.binary.test_timedelta,test_comparison_with_null[ne],"AssertionError: DataFrame.iloc[:, 0] (column name=""0"") are different - -DataFrame.iloc[:, 0] (column name=""0"") values are different (100.0 %) -[index]: [0, 1] -[left]: [True, True] -[right]: [None, None]",failed -7518,tests.integ.modin.binary.test_timedelta,test_comparison_with_null[lt],"AssertionError: DataFrame.iloc[:, 0] (column name=""0"") are different - -DataFrame.iloc[:, 0] (column name=""0"") values are different (100.0 %) -[index]: [0, 1] -[left]: [False, False] -[right]: [None, None]",failed -7519,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False-6--6],IndexError: positional indexers are out-of-bounds,failed -7522,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[ndarray0-rfloordiv],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -7524,tests.integ.modin.binary.test_timedelta,test_comparison_with_null[le],"AssertionError: DataFrame.iloc[:, 0] (column name=""0"") are different - -DataFrame.iloc[:, 0] (column name=""0"") values are different (100.0 %) -[index]: [0, 1] -[left]: [False, False] -[right]: [None, None]",failed -7527,tests.integ.modin.binary.test_timedelta,test_comparison_with_null[gt],"AssertionError: DataFrame.iloc[:, 0] (column name=""0"") are different - -DataFrame.iloc[:, 0] (column name=""0"") values are different (100.0 %) -[index]: [0, 1] -[left]: [False, False] -[right]: [None, None]",failed -7528,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False-6--8],IndexError: index -8 is out of bounds for axis 0 with size 7,failed -7531,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[ndarray0-mod],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -7533,tests.integ.modin.binary.test_timedelta,test_comparison_with_null[ge],"AssertionError: DataFrame.iloc[:, 0] (column name=""0"") are different - -DataFrame.iloc[:, 0] (column name=""0"") values are different (100.0 %) -[index]: [0, 1] -[left]: [False, False] -[right]: [None, None]",failed -7537,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[ndarray0-rmod],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -7540,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False-6-7],IndexError: positional indexers are out-of-bounds,failed -7542,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[ndarray0-pow],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -7544,tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True-2-None-1],ValueError: Incompatible indexer with DataFrame,failed -7545,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False-6-52879115],IndexError: positional indexers are out-of-bounds,failed -7546,tests.integ.modin.binary.test_timedelta,test_eq_non_null,"AssertionError: DataFrame.iloc[:, 1] (column name=""1"") are different +[left]: [1, 4, 7] +[right]: [nan, 7.0, 4.0]",failed +tests.integ.modin.frame.test_loc,test_df_loc_set_general_col_key_type[array-row_key1-col_key2],"AssertionError: DataFrame.iloc[:, 4] (column name=""Y"") are different -DataFrame.iloc[:, 1] (column name=""1"") values are different (50.0 %) -[index]: [0, 1] -[left]: [False, False] -[right]: [None, False]",failed -7549,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[ndarray0-rpow],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -7550,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False-6--9028751],IndexError: index -9028751 is out of bounds for axis 0 with size 7,failed -7551,tests.integ.modin.binary.test_timedelta,test_neq_non_null,"AssertionError: DataFrame.iloc[:, 1] (column name=""1"") are different +DataFrame.iloc[:, 4] (column name=""Y"") values are different (100.0 %) +[index]: [0, 1, 2] +[left]: [1, 4, 7] +[right]: [nan, nan, nan]",failed +tests.integ.modin.frame.test_loc,test_df_loc_set_general_col_key_type[array-row_key1-col_key6],"AssertionError: DataFrame are different -DataFrame.iloc[:, 1] (column name=""1"") values are different (50.0 %) -[index]: [0, 1] -[left]: [True, True] -[right]: [None, True]",failed -7553,tests.integ.modin.frame.test_aggregate,test_agg_axis_1_missing_label,KeyError: 'Column(s) [2] do not exist',failed -7559,tests.integ.modin.frame.test_aggregate,test_agg_numeric_only_negative[max],Failed: DID NOT RAISE ,failed -7560,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index0-add],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -7564,tests.integ.modin.frame.test_aggregate,test_agg_numeric_only_negative[min],Failed: DID NOT RAISE ,failed -7566,tests.integ.modin.frame.test_aggregate,test_agg_numeric_only_negative[sum],Failed: DID NOT RAISE ,failed -7567,tests.integ.modin.frame.test_aggregate,test_agg_numeric_only_negative[std],Failed: DID NOT RAISE ,failed -7568,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index0-radd],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -7572,tests.integ.modin.frame.test_aggregate,test_agg_numeric_only_negative[var],Failed: DID NOT RAISE ,failed -7573,tests.integ.modin.frame.test_aggregate,test_agg_numeric_only_negative[mean],Failed: DID NOT RAISE ,failed -7575,tests.integ.modin.frame.test_aggregate,test_agg_numeric_only_negative[median],Failed: DID NOT RAISE ,failed -7576,tests.integ.modin.binary.test_timedelta,test_timedelta_timedelta_null_arithmetic_invalid_in_pandas[div],TypeError: unsupported operand type(s) for /: 'numpy.ndarray' and 'NaTType',failed -7577,tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True-2--1-1],ValueError: Incompatible indexer with DataFrame,failed -7578,tests.integ.modin.frame.test_aggregate,test_agg_numeric_only_negative[count],Failed: DID NOT RAISE ,failed -7591,tests.integ.modin.binary.test_timedelta,test_timedelta_timedelta_null_arithmetic_invalid_in_pandas[rdiv],TypeError: Cannot divide NaTType by TimedeltaArray,failed -7593,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index0-sub],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -7601,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index0-rsub],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -7607,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index0-mul],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -7609,tests.integ.modin.frame.test_aggregate,test_agg_min_count_negative[TEST],TypeError: '>' not supported between instances of 'str' and 'int',failed -7610,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False--6--8],IndexError: index -8 is out of bounds for axis 0 with size 7,failed -7611,tests.integ.modin.frame.test_aggregate,test_agg_min_count_negative[5.3],Failed: DID NOT RAISE ,failed -7612,tests.integ.modin.frame.test_aggregate,test_agg_min_count_negative[5.0],Failed: DID NOT RAISE ,failed -7613,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index0-rmul],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -7615,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False--6-7],IndexError: positional indexers are out-of-bounds,failed -7616,tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_bool[col-index with name-key3],IndexError: positional indexers are out-of-bounds,failed -7617,tests.integ.modin.frame.test_aggregate,test_named_agg_not_supported_axis_1,"AssertionError: One of the passed functions has an invalid type: : None, only callable or string is acceptable.",failed -7618,tests.integ.modin.binary.test_timedelta,test_timedelta_timedelta_null_arithmetic_invalid_in_pandas[mod],TypeError: unsupported operand type(s) for //: 'numpy.ndarray' and 'NaTType',failed -7619,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index0-truediv],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -7620,tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True-2-1-1],ValueError: Incompatible indexer with DataFrame,failed -7622,tests.integ.modin.frame.test_aggregate,test_aggregate_unsupported_aggregation_SNOW_1526422[user_defined_function],Failed: DID NOT RAISE ,failed -7624,tests.integ.modin.frame.test_aggregate,test_aggregate_unsupported_aggregation_SNOW_1526422[list_with_user_defined_function_and_string],Failed: DID NOT RAISE ,failed -7625,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index0-rtruediv],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -7627,tests.integ.modin.frame.test_aggregate,test_aggregate_unsupported_aggregation_SNOW_1526422[tuple_with_user_defined_function_and_string],Failed: DID NOT RAISE ,failed -7630,tests.integ.modin.binary.test_timedelta,test_timedelta_timedelta_null_arithmetic_invalid_in_pandas[rmod],TypeError: Cannot divide NaTType by TimedeltaArray,failed -7631,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index0-floordiv],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -7632,tests.integ.modin.frame.test_aggregate,test_aggregate_unsupported_aggregation_SNOW_1526422[set_with_user_defined_function_and_string],Failed: DID NOT RAISE ,failed -7635,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False--6-52879115],IndexError: positional indexers are out-of-bounds,failed -7638,tests.integ.modin.binary.test_timedelta,test_timedelta_timedelta_null_arithmetic_invalid_in_pandas[floordiv],TypeError: unsupported operand type(s) for //: 'numpy.ndarray' and 'NaTType',failed -7639,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False--6--9028751],IndexError: index -9028751 is out of bounds for axis 0 with size 7,failed -7644,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False--8-0],IndexError: index -8 is out of bounds for axis 0 with size 7,failed -7645,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index0-rfloordiv],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -7649,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False--8--3],IndexError: index -8 is out of bounds for axis 0 with size 7,failed -7650,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index0-mod],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -7653,tests.integ.modin.frame.test_aggregate,test_aggregate_unsupported_aggregation_SNOW_1526422[tuple_with_builtins_and_native_pandas_function],ValueError: cannot combine transform and aggregation operations,failed -7655,tests.integ.modin.frame.test_aggregate,test_aggregate_unsupported_aggregation_SNOW_1526422[dict],Failed: DID NOT RAISE ,failed -7656,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False--8-4],IndexError: index -8 is out of bounds for axis 0 with size 7,failed -7657,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index0-rmod],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -7660,tests.integ.modin.frame.test_aggregate,test_aggregate_unsupported_aggregation_SNOW_1526422[named_agg0],TypeError: NamedAgg.__new__() missing 1 required positional argument: 'aggfunc',failed -7662,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index0-pow],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -7663,tests.integ.modin.binary.test_timedelta,test_timedelta_timedelta_null_arithmetic_invalid_in_pandas[rfloordiv],TypeError: Cannot divide NaTType by TimedeltaArray,failed -7664,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False--8--7],IndexError: index -8 is out of bounds for axis 0 with size 7,failed -7667,tests.integ.modin.frame.test_aggregate,test_aggregate_unsupported_aggregation_SNOW_1526422[named_agg1],TypeError: NamedAgg.__new__() missing 1 required positional argument: 'aggfunc',failed -7671,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index0-rpow],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -7673,tests.integ.modin.frame.test_aggregate,test_aggregate_unsupported_aggregation_SNOW_1526422[named_agg2],TypeError: NamedAgg.__new__() missing 1 required positional argument: 'aggfunc',failed -7677,tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True--2-None-4],ValueError: Incompatible indexer with DataFrame,failed -7680,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index_with_name0-add],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -7683,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False--8-6],IndexError: index -8 is out of bounds for axis 0 with size 7,failed -7684,tests.integ.modin.frame.test_aggregate,test_named_agg_passed_in_via_star_kwargs,TypeError: NamedAgg.__new__() missing 1 required positional argument: 'aggfunc',failed -7686,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index_with_name0-radd],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -7694,tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True--2--1-None],ValueError: Incompatible indexer with DataFrame,failed -7696,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False--8--6],IndexError: index -8 is out of bounds for axis 0 with size 7,failed -7702,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False--8--8],IndexError: index -8 is out of bounds for axis 0 with size 7,failed -7704,tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True--2--1--1],ValueError: Incompatible indexer with DataFrame,failed -7706,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index_with_name0-sub],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -7709,tests.integ.modin.frame.test_iloc,test_df_iloc_get_scalar_row_and_scalar_col[False--8-7],IndexError: index -8 is out of bounds for axis 0 with size 7,failed -7711,tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_bool[col-index with name-key5],IndexError: positional indexers are out-of-bounds,failed -7714,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index_with_name0-rsub],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -7716,tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True--2--1-1],ValueError: Incompatible indexer with DataFrame,failed -7722,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index_with_name0-mul],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -7726,tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_bool_series_with_1k_shape[key0],pandas.errors.IndexingError: Unalignable boolean Series provided as indexer (index of the boolean Series and of the indexed object do not match).,failed -7733,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index_with_name0-rmul],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -7745,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index_with_name0-truediv],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -7746,tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_bool_series_with_1k_shape[key1],pandas.errors.IndexingError: Unalignable boolean Series provided as indexer (index of the boolean Series and of the indexed object do not match).,failed -7756,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index_with_name0-rtruediv],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -7759,tests.integ.modin.binary.test_timedelta,test_valid_arithmetic_between_possibly_negative_timedeltas[timedelta_scalar3-rfloordiv],reason: precision difference in snowflake,xfailed -7764,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index_with_name0-floordiv],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -7781,tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True--2-4-4],ValueError: Incompatible indexer with DataFrame,failed -7785,tests.integ.modin.binary.test_timedelta,test_valid_arithmetic_between_possibly_negative_timedeltas[timedelta_scalar4-rfloordiv],reason: precision difference in snowflake,xfailed -7787,tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_bool_series_with_1k_shape[key2],pandas.errors.IndexingError: Unalignable boolean Series provided as indexer (index of the boolean Series and of the indexed object do not match).,failed -7791,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index_with_name0-rfloordiv],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -7801,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index_with_name0-mod],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -7810,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index_with_name0-rmod],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -7812,tests.integ.modin.frame.test_loc,test_df_loc_set_general_col_key_type_with_duplicate_columns[series-col_key6],ValueError: cannot reindex on an axis with duplicate labels,failed -7815,tests.integ.modin.binary.test_timedelta,test_valid_arithmetic_between_possibly_negative_timedeltas[timedelta_scalar5-rfloordiv],reason: precision difference in snowflake,xfailed -7816,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index_with_name0-pow],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -7826,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[index_with_name0-rpow],"ValueError: Unable to coerce to Series, length must be 3: given 2",failed -7832,tests.integ.modin.frame.test_loc,test_df_loc_set_general_col_key_type_with_duplicate_columns[series-col_key8],"AssertionError: DataFrame.iloc[:, 0] (column name=""A"") are different +DataFrame shape mismatch +[left]: (3, 8) +[right]: (3, 4)",failed +tests.integ.modin.frame.test_loc,test_df_loc_set_general_col_key_type[array-row_key1-col_key8],"AssertionError: DataFrame.iloc[:, 0] (column name=""D"") are different -DataFrame.iloc[:, 0] (column name=""A"") values are different (100.0 %) +DataFrame.iloc[:, 0] (column name=""D"") values are different (100.0 %) [index]: [0, 1, 2] -[left]: [nan, 7.0, 4.0] +[left]: [nan, nan, nan] [right]: [1.0, 4.0, 7.0] At positional index 0, first diff: nan != 1.0",failed -7836,tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True--2-10-4],ValueError: Incompatible indexer with DataFrame,failed -7837,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[list1-add],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -7838,tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_numeric[row-list-key4],IndexError: index 12 is out of bounds for axis 0 with size 7,failed -7846,tests.integ.modin.binary.test_timedelta,test_valid_arithmetic_between_possibly_negative_timedeltas[timedelta_scalar6-rfloordiv],reason: precision difference in snowflake,xfailed -7847,tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_numeric[row-list-key5],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -7848,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[list1-radd],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -7852,tests.integ.modin.frame.test_loc,test_df_loc_set_general_col_key_type_with_duplicate_columns[series-col_key10],AssertionError: exception type does not match with expected type ,failed -7853,tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_numeric[row-list-key6],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -7858,tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True-9-None-None],ValueError: Incompatible indexer with DataFrame,failed -7863,tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_numeric[row-series-key0],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -7872,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[list1-sub],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -7873,tests.integ.modin.binary.test_timedelta,test_valid_arithmetic_between_possibly_negative_timedeltas[timedelta_scalar7-rfloordiv],reason: precision difference in snowflake,xfailed -7876,tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True-9-None-1],ValueError: Incompatible indexer with DataFrame,failed -7882,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[list1-rsub],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -7889,tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True-9-None-4],ValueError: Incompatible indexer with DataFrame,failed -7890,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[list1-mul],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -7898,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[list1-rmul],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -7901,tests.integ.modin.frame.test_loc,test_df_loc_set_general_key_with_duplicate_rows[series-item1],ValueError: cannot reindex on an axis with duplicate labels,failed -7904,tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True-9-None-10],ValueError: Incompatible indexer with DataFrame,failed -7907,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[list1-truediv],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -7915,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[list1-rtruediv],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -7925,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[list1-floordiv],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -7926,tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True-9--1-None],ValueError: Incompatible indexer with DataFrame,failed -7933,tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_numeric[row-series-key4],IndexError: index 12 is out of bounds for axis 0 with size 7,failed -7940,tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_numeric[row-series-key5],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -7941,tests.integ.modin.frame.test_loc,test_df_loc_get_key_bool[series-key4],pandas.errors.IndexingError: Unalignable boolean Series provided as indexer (index of the boolean Series and of the indexed object do not match).,failed -7949,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[list1-rfloordiv],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -7950,tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_numeric[row-series-key6],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -7958,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[list1-mod],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -7963,tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True-9--1-1],ValueError: Incompatible indexer with DataFrame,failed -7964,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[list1-rmod],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -7969,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[list1-pow],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -7972,tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True-9--1-4],ValueError: Incompatible indexer with DataFrame,failed -7976,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[list1-rpow],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -7980,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[ndarray1-add],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -7981,tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True-9--1-10],ValueError: Incompatible indexer with DataFrame,failed -7986,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[ndarray1-radd],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -7988,tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True-9-1-None],ValueError: Incompatible indexer with DataFrame,failed -8001,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[ndarray1-sub],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -8003,tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True-9-1-1],ValueError: Incompatible indexer with DataFrame,failed -8006,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[ndarray1-rsub],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -8011,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[ndarray1-mul],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -8012,tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True-9-1-4],ValueError: Incompatible indexer with DataFrame,failed -8017,tests.integ.modin.binary.test_binary_op,test_binary_op_between_df_and_list_like_of_different_lengths_axis_0[ndarray1-rmul],"ValueError: Unable to coerce to Series, length must be 3: given 4",failed -8033,tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True-9-1-10],ValueError: Incompatible indexer with DataFrame,failed -8035,tests.integ.modin.frame.test_loc,test_df_loc_set_series_and_list_like_row_key_negative[list],KeyError: array([3]),failed -8040,tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True-9-4-None],ValueError: Incompatible indexer with DataFrame,failed -8050,tests.integ.modin.test_dtype_mapping,float)-expected_dtype12-expected_to_pandas_dtype12-expected_to_pandas12],"AssertionError: unexpected dtypes [dtype('float64')], expected [object] -assert False",failed -8053,tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True-9-4-1],ValueError: Incompatible indexer with DataFrame,failed -8061,tests.integ.modin.frame.test_loc,test_df_loc_set_general_col_key_type[list-row_key0-col_key6],"AssertionError: DataFrame are different +tests.integ.modin.frame.test_loc,test_df_loc_set_general_col_key_type[array-row_key1-col_key9],"KeyError: array(['1', '2'], dtype='",failed -8089,tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True-9-10-None],ValueError: Incompatible indexer with DataFrame,failed -8097,tests.integ.modin.frame.test_loc,test_df_loc_set_general_col_key_type[list-row_key0-col_key9],"KeyError: array(['1', '2'], dtype=',failed -8145,tests.integ.modin.frame.test_nlargest_nsmallest,test_nlargest_nsmallest_all_keep_not_implemented[nsmallest],Failed: DID NOT RAISE ,failed -8146,tests.integ.modin.frame.test_loc,test_df_loc_set_general_col_key_type[list-row_key1-col_key6],"AssertionError: DataFrame are different +tests.integ.modin.frame.test_loc,test_df_loc_set_general_col_key_type[index-row_key1-col_key6],"AssertionError: DataFrame are different DataFrame shape mismatch [left]: (3, 8) [right]: (3, 4)",failed -8150,tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True-9-10-10],ValueError: Incompatible indexer with DataFrame,failed -8154,tests.integ.modin.frame.test_nlargest_nsmallest,test_nlargest_nsmallest_invalid_label[nlargest-None],AssertionError: exception type does not match with expected type ,failed -8160,tests.integ.modin.frame.test_set_index,test_set_index_timedelta_index[frame_of_ints_and_timedelta],"TypeError: The parameter ""keys"" may be a column key, one-dimensional array, or a list containing only valid column keys and one-dimensional arrays. Received column of type ",failed -8162,tests.integ.modin.frame.test_nlargest_nsmallest,test_nlargest_nsmallest_invalid_label[nsmallest-None],AssertionError: exception type does not match with expected type ,failed -8163,tests.integ.modin.frame.test_loc,test_df_loc_set_general_col_key_type[list-row_key1-col_key8],"AssertionError: DataFrame.iloc[:, 0] (column name=""D"") are different +tests.integ.modin.frame.test_loc,test_df_loc_set_general_col_key_type[index-row_key1-col_key8],"AssertionError: DataFrame.iloc[:, 0] (column name=""D"") are different DataFrame.iloc[:, 0] (column name=""D"") values are different (100.0 %) [index]: [0, 1, 2] [left]: [nan, nan, nan] [right]: [1.0, 4.0, 7.0] At positional index 0, first diff: nan != 1.0",failed -8165,tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_numeric[row-index-key4],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -8166,tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True--9-None-None],ValueError: Incompatible indexer with DataFrame,failed -8172,tests.integ.modin.frame.test_loc,test_df_loc_set_general_col_key_type[list-row_key1-col_key9],"KeyError: array(['1', '2'], dtype='",failed -8203,tests.integ.modin.frame.test_set_index,test_set_index_dup_column_name,"AssertionError: Regex pattern did not match. - Regex: ""The column label 'A' is not unique"" - Input: 'Index data must be 1-dimensional'",failed -8205,tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True--9--1-None],ValueError: Incompatible indexer with DataFrame,failed -8206,tests.integ.modin.frame.test_nlargest_nsmallest,test_nlargest_nsmallest_non_numeric_types[nsmallest-data1],TypeError: '<' not supported between instances of 'str' and 'int',failed -8208,tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_numeric[row-index-key6],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -8210,tests.integ.modin.frame.test_loc,test_df_loc_set_general_col_key_type_with_duplicate_columns[list-col_key6],ValueError: cannot reindex on an axis with duplicate labels,failed -8214,tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_numeric[row-ndarray-key0],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -8217,tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True--9--1--1],ValueError: Incompatible indexer with DataFrame,failed -8221,tests.integ.modin.frame.test_loc,test_df_loc_set_general_col_key_type_with_duplicate_columns[list-col_key8],"AssertionError: DataFrame.iloc[:, 0] (column name=""A"") are different - -DataFrame.iloc[:, 0] (column name=""A"") values are different (100.0 %) -[index]: [0, 1, 2] -[left]: [nan, 7.0, 4.0] -[right]: [1.0, 4.0, 7.0] -At positional index 0, first diff: nan != 1.0",failed -8228,tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True--9--1-1],ValueError: Incompatible indexer with DataFrame,failed -8234,tests.integ.modin.frame.test_loc,test_df_loc_set_general_col_key_type_with_duplicate_columns[list-col_key10],AssertionError: exception type does not match with expected type ,failed -8240,tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True--9--1-4],ValueError: Incompatible indexer with DataFrame,failed -8246,tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_numeric[row-ndarray-key4],IndexError: index 12 is out of bounds for axis 0 with size 7,failed -8250,tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_numeric[row-ndarray-key5],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -8254,tests.integ.modin.frame.test_set_index,test_set_index_names[frame_of_ints],"TypeError: The parameter ""keys"" may be a column key, one-dimensional array, or a list containing only valid column keys and one-dimensional arrays. Received column of type ",failed -8256,tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_numeric[row-ndarray-key6],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -8257,tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True--9-1-None],ValueError: Incompatible indexer with DataFrame,failed -8258,tests.integ.modin.frame.test_loc,test_df_loc_set_general_key_with_duplicate_rows[list-item1],ValueError: cannot reindex on an axis with duplicate labels,failed -8276,tests.integ.modin.frame.test_to_view,test_to_view_index[method-False-None-expected_index_columns2],"NotImplementedError: Modin supports the method DataFrame.to_view on the Snowflake backend, but not on the backend Pandas.",failed -8284,tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True--9-1--1],ValueError: Incompatible indexer with DataFrame,failed -8290,tests.integ.modin.frame.test_loc,test_df_loc_get_key_bool[list-key5],IndexError: positional indexers are out-of-bounds,failed -8294,tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True--9-1-1],ValueError: Incompatible indexer with DataFrame,failed -8299,tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True--9-1-4],ValueError: Incompatible indexer with DataFrame,failed -8302,tests.integ.modin.frame.test_set_index,test_set_index_names[frame_of_ints_and_timedelta],"TypeError: The parameter ""keys"" may be a column key, one-dimensional array, or a list containing only valid column keys and one-dimensional arrays. Received column of type ",failed -8311,tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True--9-4-None],ValueError: Incompatible indexer with DataFrame,failed -8319,tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True--9-4--1],ValueError: Incompatible indexer with DataFrame,failed -8329,tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True--9-4-1],ValueError: Incompatible indexer with DataFrame,failed -8333,tests.integ.modin.frame.test_to_view,test_to_view_index[method-False-index_labels3-expected_index_columns3],"NotImplementedError: Modin supports the method DataFrame.to_view on the Snowflake backend, but not on the backend Pandas.",failed -8338,tests.integ.modin.frame.test_loc,test_df_loc_set_series_and_list_like_row_key_negative[array],KeyError: array([3]),failed -8345,tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True--9-4-4],ValueError: Incompatible indexer with DataFrame,failed -8374,tests.integ.modin.frame.test_nunique,test_dataframe_unique_dropna_negative,Failed: DID NOT RAISE ,failed -8377,tests.integ.modin.frame.test_nunique,test_dataframe_unique_axis1_not_implemented[True],Failed: DID NOT RAISE ,failed -8379,tests.integ.modin.frame.test_nunique,test_dataframe_unique_axis1_not_implemented[False],Failed: DID NOT RAISE ,failed -8382,tests.integ.modin.frame.test_loc,test_df_loc_set_general_col_key_type[array-row_key0-col_key6],"AssertionError: DataFrame are different +tests.integ.modin.frame.test_loc,test_df_loc_set_general_col_key_type[index-row_key1-col_key9],"KeyError: array(['1', '2'], dtype=',) were emitted. -The list of emitted warnings is: [].",failed -8425,tests.integ.modin.frame.test_pct_change,test_pct_change_simple[rows-_NoDefault.no_default-0-nonulls],"Failed: DID NOT WARN. No warnings of type (,) were emitted. -The list of emitted warnings is: [].",failed -8429,tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True--9-10-4],ValueError: Incompatible indexer with DataFrame,failed -8430,tests.integ.modin.frame.test_pct_change,test_pct_change_simple[rows-_NoDefault.no_default-1-nonulls],"Failed: DID NOT WARN. No warnings of type (,) were emitted. -The list of emitted warnings is: [].",failed -8432,tests.integ.modin.frame.test_loc,test_df_loc_set_general_col_key_type[array-row_key1-col_key1],"AssertionError: DataFrame.iloc[:, 3] (column name=""A"") are different +tests.integ.modin.frame.test_loc,test_df_loc_set_general_col_key_type[list-row_key0-col_key9],"KeyError: array(['1', '2'], dtype=',) were emitted. -The list of emitted warnings is: [].",failed -8443,tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_numeric[row-index with name-key2],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -8445,tests.integ.modin.frame.test_loc,test_df_loc_set_general_col_key_type[array-row_key1-col_key2],"AssertionError: DataFrame.iloc[:, 4] (column name=""Y"") are different +tests.integ.modin.frame.test_loc,test_df_loc_set_general_col_key_type[list-row_key1-col_key2],"AssertionError: DataFrame.iloc[:, 4] (column name=""Y"") are different DataFrame.iloc[:, 4] (column name=""Y"") values are different (100.0 %) [index]: [0, 1, 2] [left]: [1, 4, 7] [right]: [nan, nan, nan]",failed -8448,tests.integ.modin.frame.test_to_view,test_to_view_index[function-True-None-expected_index_columns0],"NotImplementedError: Modin supports the method DataFrame.to_view on the Snowflake backend, but not on the backend Pandas.",failed -8458,tests.integ.modin.frame.test_loc,test_df_loc_set_item_df_single_value[key0-val_columns0-val_index0],ValueError: Length of values (1) does not match length of index (4),failed -8478,tests.integ.modin.frame.test_set_index,test_set_index_duplicate_label_in_dataframe_negative[True],"AssertionError: Regex pattern did not match. - Regex: ""The column label 'a' is not unique"" - Input: 'Index data must be 1-dimensional'",failed -8484,tests.integ.modin.frame.test_loc,test_df_loc_set_general_col_key_type[array-row_key1-col_key6],"AssertionError: DataFrame are different +tests.integ.modin.frame.test_loc,test_df_loc_set_general_col_key_type[list-row_key1-col_key6],"AssertionError: DataFrame are different DataFrame shape mismatch [left]: (3, 8) [right]: (3, 4)",failed -8489,tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_numeric[row-index with name-key3],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -8492,tests.integ.modin.frame.test_set_index,test_set_index_duplicate_label_in_dataframe_negative[False],"AssertionError: Regex pattern did not match. - Regex: ""The column label 'a' is not unique"" - Input: 'Index data must be 1-dimensional'",failed -8494,tests.integ.modin.frame.test_loc,test_df_loc_set_item_df_single_value[key0-val_columns0-val_index1],ValueError: Length of values (1) does not match length of index (4),failed -8502,tests.integ.modin.frame.test_loc,test_df_loc_set_general_col_key_type[array-row_key1-col_key8],"AssertionError: DataFrame.iloc[:, 0] (column name=""D"") are different - -DataFrame.iloc[:, 0] (column name=""D"") values are different (100.0 %) -[index]: [0, 1, 2] -[left]: [nan, nan, nan] -[right]: [1.0, 4.0, 7.0] -At positional index 0, first diff: nan != 1.0",failed -8506,tests.integ.modin.frame.test_apply,test_udfs_and_udtfs_with_snowpark_object_error_msg,Failed: DID NOT RAISE ,failed -8514,tests.integ.modin.frame.test_loc,test_df_loc_set_item_df_single_value[key0-val_columns1-val_index0],ValueError: Length of values (1) does not match length of index (4),failed -8518,tests.integ.modin.frame.test_loc,test_df_loc_set_general_col_key_type[array-row_key1-col_key9],"KeyError: array(['1', '2'], dtype=',) were emitted. -The list of emitted warnings is: [].",failed -8543,tests.integ.modin.frame.test_pct_change,test_pct_change_simple[columns-_NoDefault.no_default-0-nonulls],"Failed: DID NOT WARN. No warnings of type (,) were emitted. -The list of emitted warnings is: [].",failed -8545,tests.integ.modin.frame.test_loc,test_df_loc_set_item_df_single_value[A-val_columns0-val_index0],ValueError: Length of values (1) does not match length of index (4),failed -8548,tests.integ.modin.frame.test_pct_change,test_pct_change_simple[columns-_NoDefault.no_default-1-nonulls],"Failed: DID NOT WARN. No warnings of type (,) were emitted. -The list of emitted warnings is: [].",failed -8549,tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_numeric[row-index with name-key4],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -8552,tests.integ.modin.frame.test_pct_change,test_pct_change_simple[columns-_NoDefault.no_default-2-nonulls],"Failed: DID NOT WARN. No warnings of type (,) were emitted. -The list of emitted warnings is: [].",failed -8566,tests.integ.modin.frame.test_loc,test_df_loc_set_general_col_key_type_with_duplicate_columns[array-col_key6],ValueError: cannot reindex on an axis with duplicate labels,failed -8573,tests.integ.modin.frame.test_loc,test_df_loc_set_item_df_single_value[A-val_columns0-val_index1],ValueError: Length of values (1) does not match length of index (4),failed -8575,tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_numeric[row-index with name-key5],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -8576,tests.integ.modin.frame.test_set_index,test_set_index_pass_single_array[True-True-frame_of_ints-Index],"TypeError: The parameter ""keys"" may be a column key, one-dimensional array, or a list containing only valid column keys and one-dimensional arrays. Received column of type ",failed -8577,tests.integ.modin.frame.test_to_view,test_to_view_index[function-True-index_labels1-expected_index_columns1],"NotImplementedError: Modin supports the method DataFrame.to_view on the Snowflake backend, but not on the backend Pandas.",failed -8581,tests.integ.modin.frame.test_loc,test_df_loc_set_general_col_key_type_with_duplicate_columns[array-col_key8],"AssertionError: DataFrame.iloc[:, 0] (column name=""A"") are different +tests.integ.modin.frame.test_loc,test_df_loc_set_general_col_key_type[list-row_key1-col_key8],"AssertionError: DataFrame.iloc[:, 0] (column name=""D"") are different -DataFrame.iloc[:, 0] (column name=""A"") values are different (100.0 %) +DataFrame.iloc[:, 0] (column name=""D"") values are different (100.0 %) [index]: [0, 1, 2] -[left]: [nan, 7.0, 4.0] +[left]: [nan, nan, nan] [right]: [1.0, 4.0, 7.0] At positional index 0, first diff: nan != 1.0",failed -8595,tests.integ.modin.frame.test_apply_axis_0,test_axis_0_basic_types_without_type_hints[return_timedelta_scalar],[XPASS(strict)] SNOW-1619940,failed -8596,tests.integ.modin.frame.test_loc,test_df_loc_set_general_col_key_type_with_duplicate_columns[array-col_key10],AssertionError: exception type does not match with expected type ,failed -8598,tests.integ.modin.frame.test_loc,test_df_loc_set_item_df_single_value[A-val_columns1-val_index0],ValueError: Length of values (1) does not match length of index (4),failed -8604,tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_numeric[row-index with name-key6],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -8618,tests.integ.modin.frame.test_loc,test_df_loc_set_item_df_single_value[A-val_columns1-val_index1],ValueError: Length of values (1) does not match length of index (4),failed -8630,tests.integ.modin.frame.test_pct_change,test_axis_0_with_timedelta[None--1],TypeError: unsupported operand type for /: got timedelta64[ns],failed -8634,tests.integ.modin.frame.test_apply_axis_0,test_axis_0_basic_types_without_type_hints[apply_on_frame_with_timedelta_data_columns_returns_int],[XPASS(strict)] ,failed -8635,tests.integ.modin.frame.test_pct_change,test_axis_0_with_timedelta[None-0],TypeError: unsupported operand type for /: got timedelta64[ns],failed -8636,tests.integ.modin.frame.test_loc,test_df_loc_set_with_scalar_item[col_key4],SNOW-1321196: pandas 2.2.1 migration,xfailed -8640,tests.integ.modin.frame.test_pct_change,test_axis_0_with_timedelta[None-1],TypeError: unsupported operand type for /: got timedelta64[ns],failed -8642,tests.integ.modin.frame.test_loc,test_df_loc_set_general_key_with_duplicate_rows[array-item1],ValueError: cannot reindex on an axis with duplicate labels,failed -8644,tests.integ.modin.frame.test_apply_axis_0,test_axis_0_basic_types_with_type_hints[return_timedelta_scalar],[XPASS(strict)] SNOW-1619940,failed -8647,tests.integ.modin.frame.test_pct_change,test_axis_0_with_timedelta[None-2],TypeError: unsupported operand type for /: got timedelta64[ns],failed -8655,tests.integ.modin.frame.test_pct_change,test_axis_0_with_timedelta[_NoDefault.no_default--1],TypeError: unsupported operand type for /: got timedelta64[ns],failed -8657,tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_numeric[col-list-key4],IndexError: index 12 is out of bounds for axis 0 with size 7,failed -8662,tests.integ.modin.frame.test_pct_change,test_axis_0_with_timedelta[_NoDefault.no_default-0],TypeError: unsupported operand type for /: got timedelta64[ns],failed -8665,tests.integ.modin.frame.test_set_index,test_set_index_pass_single_array[True-True-frame_of_ints_and_timedelta-Index],"TypeError: The parameter ""keys"" may be a column key, one-dimensional array, or a list containing only valid column keys and one-dimensional arrays. Received column of type ",failed -8666,tests.integ.modin.frame.test_to_view,test_to_view_index[function-False-None-expected_index_columns2],"NotImplementedError: Modin supports the method DataFrame.to_view on the Snowflake backend, but not on the backend Pandas.",failed -8669,tests.integ.modin.frame.test_pct_change,test_axis_0_with_timedelta[_NoDefault.no_default-1],TypeError: unsupported operand type for /: got timedelta64[ns],failed -8671,tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_numeric[col-list-key5],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -8677,tests.integ.modin.frame.test_pct_change,test_axis_0_with_timedelta[_NoDefault.no_default-2],TypeError: unsupported operand type for /: got timedelta64[ns],failed -8679,tests.integ.modin.frame.test_loc,test_df_loc_get_key_bool[array-key5],IndexError: positional indexers are out-of-bounds,failed -8680,tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_numeric[col-list-key6],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -8684,tests.integ.modin.frame.test_pct_change,test_axis_0_with_timedelta[ffill--1],TypeError: unsupported operand type for /: got timedelta64[ns],failed -8689,tests.integ.modin.frame.test_pct_change,test_axis_0_with_timedelta[ffill-0],TypeError: unsupported operand type for /: got timedelta64[ns],failed -8690,tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_numeric[col-series-key0],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -8692,tests.integ.modin.frame.test_loc,test_df_loc_set_with_column_wise_list_like_item[list--item2-A],"ValueError: could not broadcast input array from shape (4,) into shape (2, 1)",failed -8693,tests.integ.modin.frame.test_apply_axis_0,test_axis_0_basic_types_with_type_hints[apply_on_frame_with_timedelta_data_columns_returns_int],[XPASS(strict)] ,failed -8694,tests.integ.modin.frame.test_pct_change,test_axis_0_with_timedelta[ffill-1],TypeError: unsupported operand type for /: got timedelta64[ns],failed -8695,tests.integ.modin.frame.test_apply_axis_0,test_frame_with_timedelta_index,[XPASS(strict)] ,failed -8697,tests.integ.modin.frame.test_pct_change,test_axis_0_with_timedelta[ffill-2],TypeError: unsupported operand type for /: got timedelta64[ns],failed -8700,tests.integ.modin.frame.test_pct_change,test_axis_0_with_timedelta[pad--1],TypeError: unsupported operand type for /: got timedelta64[ns],failed -8708,tests.integ.modin.frame.test_loc,test_df_loc_set_with_column_wise_list_like_item[list--item2-X],"ValueError: could not broadcast input array from shape (4,) into shape (2, 1)",failed -8711,tests.integ.modin.frame.test_pct_change,test_axis_0_with_timedelta[pad-0],TypeError: unsupported operand type for /: got timedelta64[ns],failed -8712,tests.integ.modin.frame.test_loc,test_df_loc_set_with_column_wise_list_like_item[list--item2-col_key2],"ValueError: could not broadcast input array from shape (4,) into shape (2, 1)",failed -8716,tests.integ.modin.frame.test_pct_change,test_axis_0_with_timedelta[pad-1],TypeError: unsupported operand type for /: got timedelta64[ns],failed -8717,tests.integ.modin.frame.test_apply_axis_0,test_axis_0_return_dataframe_not_supported,"ValueError: If using all scalar values, you must pass an index",failed -8718,tests.integ.modin.frame.test_loc,test_df_loc_set_with_column_wise_list_like_item[list--item2-col_key3],"ValueError: could not broadcast input array from shape (4,) into shape (2, 1)",failed -8720,tests.integ.modin.frame.test_pct_change,test_axis_0_with_timedelta[pad-2],TypeError: unsupported operand type for /: got timedelta64[ns],failed -8721,tests.integ.modin.frame.test_apply_axis_0,test_result_type[reduce],Failed: DID NOT RAISE ,failed -8724,tests.integ.modin.frame.test_pct_change,test_axis_0_with_timedelta[backfill--1],TypeError: unsupported operand type for /: got timedelta64[ns],failed -8725,tests.integ.modin.frame.test_apply_axis_0,test_result_type[expand],Failed: DID NOT RAISE ,failed -8726,tests.integ.modin.frame.test_loc,test_df_loc_set_with_column_wise_list_like_item[list--item2-col_key4],"ValueError: could not broadcast input array from shape (4,) into shape (2, 1)",failed -8727,tests.integ.modin.frame.test_apply_axis_0,test_result_type[broadcast],Failed: DID NOT RAISE ,failed -8728,tests.integ.modin.frame.test_pct_change,test_axis_0_with_timedelta[backfill-0],TypeError: unsupported operand type for /: got timedelta64[ns],failed -8730,tests.integ.modin.frame.test_apply_axis_0,test_axis_1_apply_args_kwargs_with_snowpandas_object,Failed: DID NOT RAISE ,failed -8733,tests.integ.modin.frame.test_pct_change,test_axis_0_with_timedelta[backfill-1],TypeError: unsupported operand type for /: got timedelta64[ns],failed -8734,tests.integ.modin.frame.test_to_view,test_to_view_index[function-False-index_labels3-expected_index_columns3],"NotImplementedError: Modin supports the method DataFrame.to_view on the Snowflake backend, but not on the backend Pandas.",failed -8735,tests.integ.modin.frame.test_loc,test_df_loc_set_with_column_wise_list_like_item[list--item2-None],"ValueError: could not broadcast input array from shape (4,) into shape (2, 1)",failed -8737,tests.integ.modin.frame.test_pct_change,test_axis_0_with_timedelta[backfill-2],TypeError: unsupported operand type for /: got timedelta64[ns],failed -8739,tests.integ.modin.frame.test_loc,test_df_loc_set_series_and_list_like_row_key_negative[index],"KeyError: Index([3], dtype='int64')",failed -8742,tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_numeric[col-series-key4],IndexError: index 12 is out of bounds for axis 0 with size 7,failed -8743,tests.integ.modin.frame.test_pct_change,test_axis_0_with_timedelta[bfill--1],TypeError: unsupported operand type for /: got timedelta64[ns],failed -8744,tests.integ.modin.frame.test_set_index,test_set_index_pass_single_array[True-False-frame_of_ints-Index],"TypeError: The parameter ""keys"" may be a column key, one-dimensional array, or a list containing only valid column keys and one-dimensional arrays. Received column of type ",failed -8750,tests.integ.modin.frame.test_pct_change,test_axis_0_with_timedelta[bfill-0],TypeError: unsupported operand type for /: got timedelta64[ns],failed -8754,tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_numeric[col-series-key5],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -8758,tests.integ.modin.frame.test_pct_change,test_axis_0_with_timedelta[bfill-1],TypeError: unsupported operand type for /: got timedelta64[ns],failed -8763,tests.integ.modin.frame.test_pct_change,test_axis_0_with_timedelta[bfill-2],TypeError: unsupported operand type for /: got timedelta64[ns],failed -8764,tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_numeric[col-series-key6],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -8769,tests.integ.modin.frame.test_pct_change,test_axis_1_with_timedelta_columns[None--1],TypeError: unsupported operand type for /: got timedelta64[ns],failed -8772,tests.integ.modin.frame.test_pct_change,test_axis_1_with_timedelta_columns[None-0],TypeError: unsupported operand type for /: got timedelta64[ns],failed -8774,tests.integ.modin.frame.test_loc,test_df_loc_set_with_column_wise_list_like_item[array--item2-A],"ValueError: could not broadcast input array from shape (4,) into shape (2, 1)",failed -8777,tests.integ.modin.frame.test_pct_change,test_axis_1_with_timedelta_columns[None-1],TypeError: unsupported operand type for /: got timedelta64[ns],failed -8779,tests.integ.modin.frame.test_pct_change,test_axis_1_with_timedelta_columns[None-2],TypeError: unsupported operand type for /: got timedelta64[ns],failed -8780,tests.integ.modin.frame.test_loc,test_df_loc_set_with_column_wise_list_like_item[array--item2-X],"ValueError: could not broadcast input array from shape (4,) into shape (2, 1)",failed -8790,tests.integ.modin.frame.test_pct_change,test_axis_1_with_timedelta_columns[_NoDefault.no_default--1],TypeError: unsupported operand type for /: got timedelta64[ns],failed -8791,tests.integ.modin.frame.test_loc,test_df_loc_set_with_column_wise_list_like_item[array--item2-col_key2],"ValueError: could not broadcast input array from shape (4,) into shape (2, 1)",failed -8793,tests.integ.modin.frame.test_pct_change,test_axis_1_with_timedelta_columns[_NoDefault.no_default-0],TypeError: unsupported operand type for /: got timedelta64[ns],failed -8795,tests.integ.modin.frame.test_loc,test_df_loc_set_with_column_wise_list_like_item[array--item2-col_key3],"ValueError: could not broadcast input array from shape (4,) into shape (2, 1)",failed -8796,tests.integ.modin.frame.test_to_view,test_to_view_multiindex[method],"NotImplementedError: Modin supports the method DataFrame.to_view on the Snowflake backend, but not on the backend Pandas.",failed -8797,tests.integ.modin.frame.test_pct_change,test_axis_1_with_timedelta_columns[_NoDefault.no_default-1],TypeError: unsupported operand type for /: got timedelta64[ns],failed -8798,tests.integ.modin.frame.test_loc,test_df_loc_set_with_column_wise_list_like_item[array--item2-col_key4],"ValueError: could not broadcast input array from shape (4,) into shape (2, 1)",failed -8799,tests.integ.modin.frame.test_pct_change,test_axis_1_with_timedelta_columns[_NoDefault.no_default-2],TypeError: unsupported operand type for /: got timedelta64[ns],failed -8802,tests.integ.modin.frame.test_apply_axis_0,test_axis_0_date_time_timestamp_type[data0--expected_result0],AttributeError: Can only use .dt accessor with datetimelike values,failed -8803,tests.integ.modin.frame.test_pct_change,test_axis_1_with_timedelta_columns[ffill--1],TypeError: unsupported operand type for /: got timedelta64[ns],failed -8804,tests.integ.modin.frame.test_loc,test_df_loc_set_with_column_wise_list_like_item[array--item2-None],"ValueError: could not broadcast input array from shape (4,) into shape (2, 1)",failed -8807,tests.integ.modin.frame.test_pct_change,test_axis_1_with_timedelta_columns[ffill-0],TypeError: unsupported operand type for /: got timedelta64[ns],failed -8810,tests.integ.modin.frame.test_pct_change,test_axis_1_with_timedelta_columns[ffill-1],TypeError: unsupported operand type for /: got timedelta64[ns],failed -8814,tests.integ.modin.frame.test_pct_change,test_axis_1_with_timedelta_columns[ffill-2],TypeError: unsupported operand type for /: got timedelta64[ns],failed -8817,tests.integ.modin.frame.test_apply_axis_0,test_axis_0_date_time_timestamp_type[data1--expected_result1],AttributeError: Can only use .dt accessor with datetimelike values,failed -8819,tests.integ.modin.frame.test_set_index,test_set_index_pass_single_array[True-False-frame_of_ints_and_timedelta-Index],"TypeError: The parameter ""keys"" may be a column key, one-dimensional array, or a list containing only valid column keys and one-dimensional arrays. Received column of type ",failed -8821,tests.integ.modin.frame.test_pct_change,test_axis_1_with_timedelta_columns[pad--1],TypeError: unsupported operand type for /: got timedelta64[ns],failed -8828,tests.integ.modin.frame.test_pct_change,test_axis_1_with_timedelta_columns[pad-0],TypeError: unsupported operand type for /: got timedelta64[ns],failed -8835,tests.integ.modin.frame.test_pct_change,test_axis_1_with_timedelta_columns[pad-1],TypeError: unsupported operand type for /: got timedelta64[ns],failed -8840,tests.integ.modin.frame.test_pct_change,test_axis_1_with_timedelta_columns[pad-2],TypeError: unsupported operand type for /: got timedelta64[ns],failed -8841,tests.integ.modin.frame.test_apply_axis_0,test_axis_0_apply_args_kwargs,AssertionError: exception type does not match with expected type ,failed -8842,tests.integ.modin.frame.test_loc,test_df_loc_set_general_col_key_type[index-row_key0-col_key6],"AssertionError: DataFrame are different +tests.integ.modin.frame.test_loc,test_df_loc_set_general_col_key_type[list-row_key1-col_key9],"KeyError: array(['1', '2'], dtype='-item2-A],"ValueError: could not broadcast input array from shape (4,) into shape (2, 1)",failed -8848,tests.integ.modin.frame.test_pct_change,test_axis_1_with_timedelta_columns[backfill-0],TypeError: unsupported operand type for /: got timedelta64[ns],failed -8849,tests.integ.modin.frame.test_loc,test_df_loc_set_with_column_wise_list_like_item[tuple--item2-X],"ValueError: could not broadcast input array from shape (4,) into shape (2, 1)",failed -8852,tests.integ.modin.frame.test_pct_change,test_axis_1_with_timedelta_columns[backfill-1],TypeError: unsupported operand type for /: got timedelta64[ns],failed -8853,tests.integ.modin.frame.test_to_view,test_to_view_multiindex[function],"NotImplementedError: Modin supports the method DataFrame.to_view on the Snowflake backend, but not on the backend Pandas.",failed -8854,tests.integ.modin.frame.test_loc,test_df_loc_set_with_column_wise_list_like_item[tuple--item2-col_key2],"ValueError: could not broadcast input array from shape (4,) into shape (2, 1)",failed -8857,tests.integ.modin.frame.test_pct_change,test_axis_1_with_timedelta_columns[backfill-2],TypeError: unsupported operand type for /: got timedelta64[ns],failed -8859,tests.integ.modin.frame.test_apply_axis_0,test_apply_axis_0_bug_1650918[data0-],[XPASS(strict)] SNOW-1650918: Apply on dataframe data columns containing NULL fails with invalid arguments to udtf function,failed -8860,tests.integ.modin.frame.test_loc,test_df_loc_set_general_col_key_type[index-row_key0-col_key8],"AssertionError: DataFrame.iloc[:, 0] (column name=""D"") are different +tests.integ.modin.frame.test_loc,test_df_loc_set_general_col_key_type[series-row_key0-col_key8],"AssertionError: DataFrame.iloc[:, 0] (column name=""D"") are different DataFrame.iloc[:, 0] (column name=""D"") values are different (66.66667 %) [index]: [0, 1, 2] [left]: [nan, 4.0, nan] [right]: [1.0, 4.0, 7.0] At positional index 0, first diff: nan != 1.0",failed -8862,tests.integ.modin.frame.test_apply_axis_0,test_apply_axis_0_bug_1650918[data1-],[XPASS(strict)] SNOW-1650918: Apply on dataframe data columns containing NULL fails with invalid arguments to udtf function,failed -8863,tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_numeric[col-index-key1],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -8864,tests.integ.modin.frame.test_apply_axis_0,test_apply_nested_series_negative,Failed: DID NOT RAISE ,failed -8866,tests.integ.modin.frame.test_pct_change,test_axis_1_with_timedelta_columns[bfill--1],TypeError: unsupported operand type for /: got timedelta64[ns],failed -8867,tests.integ.modin.frame.test_loc,test_df_loc_set_with_column_wise_list_like_item[tuple--item2-col_key3],"ValueError: could not broadcast input array from shape (4,) into shape (2, 1)",failed -8868,tests.integ.modin.frame.test_set_index,test_set_index_pass_single_array[False-True-frame_of_ints-Index],"TypeError: The parameter ""keys"" may be a column key, one-dimensional array, or a list containing only valid column keys and one-dimensional arrays. Received column of type ",failed -8869,tests.integ.modin.frame.test_pct_change,test_axis_1_with_timedelta_columns[bfill-0],TypeError: unsupported operand type for /: got timedelta64[ns],failed -8872,tests.integ.modin.frame.test_pct_change,test_axis_1_with_timedelta_columns[bfill-1],TypeError: unsupported operand type for /: got timedelta64[ns],failed -8874,tests.integ.modin.frame.test_loc,test_df_loc_set_with_column_wise_list_like_item[tuple--item2-col_key4],"ValueError: could not broadcast input array from shape (4,) into shape (2, 1)",failed -8877,tests.integ.modin.frame.test_pct_change,test_axis_1_with_timedelta_columns[bfill-2],TypeError: unsupported operand type for /: got timedelta64[ns],failed -8879,tests.integ.modin.frame.test_pct_change,test_axis_1_with_timedelta_and_non_timedelta_column_invalid[data0],"AssertionError: Regex pattern did not match. - Regex: 'pct_change\\(axis=1\\)\\ is\\ invalid\\ when\\ one\\ column\\ is\\ Timedelta\\ another\\ column\\ is\\ not\\.' - Input: 'unsupported operand type for /: got timedelta64[ns]'",failed -8881,tests.integ.modin.frame.test_loc,test_df_loc_set_with_column_wise_list_like_item[tuple--item2-None],"ValueError: could not broadcast input array from shape (4,) into shape (2, 1)",failed -8882,tests.integ.modin.frame.test_pct_change,test_axis_1_with_timedelta_and_non_timedelta_column_invalid[data1],"AssertionError: Regex pattern did not match. - Regex: 'pct_change\\(axis=1\\)\\ is\\ invalid\\ when\\ one\\ column\\ is\\ Timedelta\\ another\\ column\\ is\\ not\\.' - Input: 'unsupported operand type for /: got timedelta64[ns]'",failed -8883,tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_numeric[col-index-key2],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -8884,tests.integ.modin.frame.test_pct_change,test_pct_change_unsupported_args[params0],Failed: DID NOT RAISE ,failed -8887,tests.integ.modin.frame.test_pct_change,test_pct_change_bad_periods,ValueError: periods must be an int. got instead,failed -8888,tests.integ.modin.frame.test_pct_change,test_pct_change_bad_dtypes[data0],"AssertionError: Regex pattern did not match. - Regex: 'cannot perform pct_change on non-numeric column with dtype' - Input: 'unsupported operand type for /: got object'",failed -8890,tests.integ.modin.frame.test_pct_change,test_pct_change_bad_dtypes[data1],"AssertionError: Regex pattern did not match. - Regex: 'cannot perform pct_change on non-numeric column with dtype' - Input: 'unsupported operand type for /: got object'",failed -8891,tests.integ.modin.frame.test_loc,test_df_loc_set_general_col_key_type[index-row_key0-col_key9],"KeyError: array(['1', '2'], dtype='",failed -8908,tests.integ.modin.frame.test_loc,test_df_loc_set_general_col_key_type[index-row_key1-col_key1],"AssertionError: DataFrame.iloc[:, 3] (column name=""A"") are different +tests.integ.modin.frame.test_loc,test_df_loc_set_general_col_key_type[series-row_key0-col_key9],"KeyError: array(['1', '2'], dtype=',failed -8948,tests.integ.modin.frame.test_quantile,test_quantile_unsupported_args_negative[table-lower-1],Failed: DID NOT RAISE ,failed -8950,tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_numeric[col-ndarray-key0],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -8951,tests.integ.modin.frame.test_quantile,test_quantile_unsupported_args_negative[table-higher-0],Failed: DID NOT RAISE ,failed -8954,tests.integ.modin.frame.test_quantile,test_quantile_unsupported_args_negative[table-higher-1],Failed: DID NOT RAISE ,failed -8962,tests.integ.modin.frame.test_transpose,test_dataframe_transpose_set_timedelta_index_SNOW_1652608[index0-transpose_twice],[XPASS(strict)] SNOW-886400,failed -8964,tests.integ.modin.frame.test_quantile,test_quantile_unsupported_args_negative[table-midpoint-0],"ValueError: Invalid interpolation: midpoint. Interpolation must be in {'nearest', 'lower', 'higher'}",failed -8967,tests.integ.modin.frame.test_transpose,test_dataframe_transpose_set_timedelta_index_SNOW_1652608[index1-transpose_twice],[XPASS(strict)] SNOW-886400,failed -8969,tests.integ.modin.frame.test_set_index,test_set_index_pass_single_array[False-False-frame_of_ints-Index],"TypeError: The parameter ""keys"" may be a column key, one-dimensional array, or a list containing only valid column keys and one-dimensional arrays. Received column of type ",failed -8970,tests.integ.modin.frame.test_applymap,test_applymap_basic_without_type_hints[applymap-return_timedelta_scalar],[XPASS(strict)] SNOW-1619940,failed -8971,tests.integ.modin.frame.test_loc,test_df_loc_set_general_col_key_type[index-row_key1-col_key6],"AssertionError: DataFrame are different +tests.integ.modin.frame.test_loc,test_df_loc_set_general_col_key_type[series-row_key1-col_key6],"AssertionError: DataFrame are different DataFrame shape mismatch [left]: (3, 8) [right]: (3, 4)",failed -8977,tests.integ.modin.frame.test_quantile,test_quantile_unsupported_args_negative[table-midpoint-1],"ValueError: Invalid interpolation: midpoint. Interpolation must be in {'nearest', 'lower', 'higher'}",failed -8982,tests.integ.modin.frame.test_quantile,test_quantile_datetime_negative,Failed: DID NOT RAISE ,failed -8994,tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_numeric[col-ndarray-key4],IndexError: index 12 is out of bounds for axis 0 with size 7,failed -8999,tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_numeric[col-ndarray-key5],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -9005,tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_numeric[col-ndarray-key6],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -9012,tests.integ.modin.frame.test_loc,test_df_loc_set_general_col_key_type[index-row_key1-col_key8],"AssertionError: DataFrame.iloc[:, 0] (column name=""D"") are different +tests.integ.modin.frame.test_loc,test_df_loc_set_general_col_key_type[series-row_key1-col_key8],"AssertionError: DataFrame.iloc[:, 0] (column name=""D"") are different DataFrame.iloc[:, 0] (column name=""D"") values are different (100.0 %) [index]: [0, 1, 2] [left]: [nan, nan, nan] [right]: [1.0, 4.0, 7.0] At positional index 0, first diff: nan != 1.0",failed -9028,tests.integ.modin.frame.test_applymap,test_applymap_basic_without_type_hints[applymap-apply_on_frame_with_timedelta_data_columns_returns_int],[XPASS(strict)] ,failed -9035,tests.integ.modin.frame.test_loc,test_df_loc_set_with_column_wise_list_like_item[index--item2-A],"ValueError: could not broadcast input array from shape (4,) into shape (2, 1)",failed -9038,tests.integ.modin.frame.test_applymap,test_applymap_basic_without_type_hints[map-return_timedelta_scalar],[XPASS(strict)] SNOW-1619940,failed -9050,tests.integ.modin.frame.test_set_index,test_set_index_pass_single_array[False-False-frame_of_ints_and_timedelta-Index],"TypeError: The parameter ""keys"" may be a column key, one-dimensional array, or a list containing only valid column keys and one-dimensional arrays. Received column of type ",failed -9068,tests.integ.modin.frame.test_transpose,test_dataframe_transpose_not_json_serializable_unimplemented[col_label0],[XPASS(strict)] SNOW-896985: Support non-JSON serializable types in dataframe,failed -9069,tests.integ.modin.frame.test_loc,test_df_loc_set_with_column_wise_list_like_item[index--item2-X],"ValueError: could not broadcast input array from shape (4,) into shape (2, 1)",failed -9071,tests.integ.modin.frame.test_transpose,test_dataframe_transpose_not_json_serializable_unimplemented[col_label1],[XPASS(strict)] SNOW-896985: Support non-JSON serializable types in dataframe,failed -9073,tests.integ.modin.frame.test_loc,test_df_loc_set_general_col_key_type[index-row_key1-col_key9],"KeyError: array(['1', '2'], dtype='-item2-col_key2],"ValueError: could not broadcast input array from shape (4,) into shape (2, 1)",failed -9094,tests.integ.modin.frame.test_applymap,test_applymap_basic_with_type_hints[applymap-return_timedelta_scalar],[XPASS(strict)] SNOW-1619940,failed -9101,tests.integ.modin.frame.test_transpose,test_dataframe_transpose_args_warning_log,TypeError: transpose() takes at most 1 argument (2 given),failed -9107,tests.integ.modin.frame.test_loc,test_df_loc_set_general_col_key_type[index-row_key1-col_key10],"KeyError: array(['E', 1, 'X', 2], dtype=object)",failed -9110,tests.integ.modin.frame.test_loc,test_df_loc_set_with_column_wise_list_like_item[index--item2-col_key3],"ValueError: could not broadcast input array from shape (4,) into shape (2, 1)",failed -9133,tests.integ.modin.frame.test_applymap,test_applymap_basic_with_type_hints[applymap-apply_on_frame_with_timedelta_data_columns_returns_int],[XPASS(strict)] ,failed -9134,tests.integ.modin.frame.test_loc,test_df_loc_set_general_col_key_type_with_duplicate_columns[index-col_key1],"AssertionError: DataFrame.iloc[:, 0] (column name=""A"") are different +tests.integ.modin.frame.test_loc,test_df_loc_set_general_col_key_type[series-row_key1-col_key9],"KeyError: array(['1', '2'], dtype=' does not match with expected type ,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_general_col_key_type_with_duplicate_columns[array-col_key1],"AssertionError: DataFrame.iloc[:, 0] (column name=""A"") are different DataFrame.iloc[:, 0] (column name=""A"") values are different (100.0 %) [index]: [0, 1, 2] [left]: [1, 4, 7] [right]: [nan, 7.0, 4.0]",failed -9136,tests.integ.modin.frame.test_set_index,test_set_index_pass_arrays[True-True-frame_of_ints-Index],"TypeError: The parameter ""keys"" may be a column key, one-dimensional array, or a list containing only valid column keys and one-dimensional arrays. Received column of type ",failed -9142,tests.integ.modin.frame.test_applymap,test_applymap_basic_with_type_hints[map-return_timedelta_scalar],[XPASS(strict)] SNOW-1619940,failed -9150,tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_numeric[col-index with name-key1],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -9156,tests.integ.modin.frame.test_loc,test_df_loc_set_with_column_wise_list_like_item[index--item2-col_key4],"ValueError: could not broadcast input array from shape (4,) into shape (2, 1)",failed -9176,tests.integ.modin.frame.test_iloc,test_df_iloc_get_slice_with_non_integer_parameters_negative[row-slice_key0],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -9183,tests.integ.modin.frame.test_iloc,test_df_iloc_get_slice_with_non_integer_parameters_negative[row-slice_key1],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -9185,tests.integ.modin.frame.test_loc,test_df_loc_set_with_column_wise_list_like_item[index--item2-None],"ValueError: could not broadcast input array from shape (4,) into shape (2, 1)",failed -9191,tests.integ.modin.frame.test_iloc,test_df_iloc_get_slice_with_non_integer_parameters_negative[row-slice_key2],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -9195,tests.integ.modin.frame.test_applymap,test_applymap_basic_with_type_hints[map-apply_on_frame_with_timedelta_data_columns_returns_int],[XPASS(strict)] ,failed -9199,tests.integ.modin.frame.test_iloc,test_df_iloc_get_slice_with_non_integer_parameters_negative[col-slice_key0],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -9202,tests.integ.modin.frame.test_applymap,test_applymap_date_time_timestamp[data0-str-str-expected_result0],"AssertionError: DataFrame.iloc[:, 0] (column name=""0"") are different - -DataFrame.iloc[:, 0] (column name=""0"") values are different (100.0 %) -[index]: [0, 1] -[left]: [2023-01-01, None] -[right]: [2023-01-01 00:00:00, NaT] -At positional index 0, first diff: 2023-01-01 != 2023-01-01 00:00:00",failed -9203,tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[list--item0-col_key2],ValueError: Must have equal len keys and value when setting with an iterable,failed -9206,tests.integ.modin.frame.test_iloc,test_df_iloc_get_slice_with_non_integer_parameters_negative[col-slice_key1],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -9209,tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_numeric[col-index with name-key2],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -9212,tests.integ.modin.frame.test_applymap,test_applymap_date_time_timestamp[data1-type-str-expected_result1],"AssertionError: DataFrame.iloc[:, 0] (column name=""0"") are different +tests.integ.modin.frame.test_loc,test_df_loc_set_general_col_key_type_with_duplicate_columns[array-col_key6],ValueError: cannot reindex on an axis with duplicate labels,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_general_col_key_type_with_duplicate_columns[array-col_key8],"AssertionError: DataFrame.iloc[:, 0] (column name=""A"") are different -DataFrame.iloc[:, 0] (column name=""0"") values are different (100.0 %) -[index]: [0, 1] -[left]: [, ] -[right]: [, ] -At positional index 0, first diff: != ",failed -9217,tests.integ.modin.frame.test_iloc,test_df_iloc_get_slice_with_non_integer_parameters_negative[col-slice_key2],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -9219,tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[list--item0-col_key3],ValueError: Must have equal len keys and value when setting with an iterable,failed -9222,tests.integ.modin.frame.test_applymap,test_applymap_date_time_timestamp[data2-str-str-expected_result2],"AssertionError: DataFrame.iloc[:, 0] (column name=""0"") are different +DataFrame.iloc[:, 0] (column name=""A"") values are different (100.0 %) +[index]: [0, 1, 2] +[left]: [nan, 7.0, 4.0] +[right]: [1.0, 4.0, 7.0] +At positional index 0, first diff: nan != 1.0",failed +tests.integ.modin.frame.test_loc,test_df_loc_set_general_col_key_type_with_duplicate_columns[index-col_key10],AssertionError: exception type does not match with expected type ,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_general_col_key_type_with_duplicate_columns[index-col_key1],"AssertionError: DataFrame.iloc[:, 0] (column name=""A"") are different -DataFrame.iloc[:, 0] (column name=""0"") values are different (100.0 %) -[index]: [0, 1] -[left]: [01:02:03, None] -[right]: [0 days 01:02:03, NaT] -At positional index 0, first diff: 01:02:03 != 0 days 01:02:03",failed -9227,tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[list--item0-col_key4],ValueError: Must have equal len keys and value when setting with an iterable,failed -9230,tests.integ.modin.frame.test_applymap,test_applymap_date_time_timestamp[data3-type-str-expected_result3],"AssertionError: DataFrame.iloc[:, 0] (column name=""0"") are different +DataFrame.iloc[:, 0] (column name=""A"") values are different (100.0 %) +[index]: [0, 1, 2] +[left]: [1, 4, 7] +[right]: [nan, 7.0, 4.0]",failed +tests.integ.modin.frame.test_loc,test_df_loc_set_general_col_key_type_with_duplicate_columns[index-col_key6],ValueError: cannot reindex on an axis with duplicate labels,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_general_col_key_type_with_duplicate_columns[index-col_key8],"AssertionError: DataFrame.iloc[:, 0] (column name=""A"") are different -DataFrame.iloc[:, 0] (column name=""0"") values are different (100.0 %) -[index]: [0, 1] -[left]: [, ] -[right]: [, ] -At positional index 0, first diff: != ",failed -9236,tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[list--item0-col_key5],ValueError: Must have equal len keys and value when setting with an iterable,failed -9246,tests.integ.modin.frame.test_applymap,test_applymap_date_time_timestamp[data5-type-str-expected_result5],"AssertionError: DataFrame.iloc[:, 0] (column name=""0"") are different +DataFrame.iloc[:, 0] (column name=""A"") values are different (100.0 %) +[index]: [0, 1, 2] +[left]: [nan, 7.0, 4.0] +[right]: [1.0, 4.0, 7.0] +At positional index 0, first diff: nan != 1.0",failed +tests.integ.modin.frame.test_loc,test_df_loc_set_general_col_key_type_with_duplicate_columns[list-col_key10],AssertionError: exception type does not match with expected type ,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_general_col_key_type_with_duplicate_columns[list-col_key1],"AssertionError: DataFrame.iloc[:, 0] (column name=""A"") are different -DataFrame.iloc[:, 0] (column name=""0"") values are different (100.0 %) -[index]: [0, 1] -[left]: [, ] -[right]: [, ] -At positional index 0, first diff: != ",failed -9251,tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[list--item1-col_key1],"AssertionError: Regex pattern did not match. - Regex: 'Must have equal len keys and value when setting with an iterable' - Input: 'could not broadcast input array from shape (2,) into shape (2, 3)'",failed -9255,tests.integ.modin.frame.test_applymap,test_applymap_date_time_timestamp[data6-str-str-expected_result6],"AssertionError: DataFrame.iloc[:, 0] (column name=""0"") are different +DataFrame.iloc[:, 0] (column name=""A"") values are different (100.0 %) +[index]: [0, 1, 2] +[left]: [1, 4, 7] +[right]: [nan, 7.0, 4.0]",failed +tests.integ.modin.frame.test_loc,test_df_loc_set_general_col_key_type_with_duplicate_columns[list-col_key6],ValueError: cannot reindex on an axis with duplicate labels,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_general_col_key_type_with_duplicate_columns[list-col_key8],"AssertionError: DataFrame.iloc[:, 0] (column name=""A"") are different -DataFrame.iloc[:, 0] (column name=""0"") values are different (33.33333 %) +DataFrame.iloc[:, 0] (column name=""A"") values are different (100.0 %) [index]: [0, 1, 2] -[left]: [2023-01-01 01:02:03+00:00, 2023-01-01 01:02:03, None] -[right]: [2023-01-01 01:02:03+00:00, 2023-01-01 01:02:03-08:00, None] -At positional index 1, first diff: 2023-01-01 01:02:03 != 2023-01-01 01:02:03-08:00",failed -9256,tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_numeric[col-index with name-key3],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -9260,tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[list--item1-col_key2],ValueError: Must have equal len keys and value when setting with an iterable,failed -9264,tests.integ.modin.frame.test_loc,test_df_loc_set_general_col_key_type_with_duplicate_columns[index-col_key6],ValueError: cannot reindex on an axis with duplicate labels,failed -9266,tests.integ.modin.frame.test_applymap,test_applymap_date_time_timestamp[data7-type-str-expected_result7],"AssertionError: DataFrame.iloc[:, 0] (column name=""0"") are different +[left]: [nan, 7.0, 4.0] +[right]: [1.0, 4.0, 7.0] +At positional index 0, first diff: nan != 1.0",failed +tests.integ.modin.frame.test_loc,test_df_loc_set_general_col_key_type_with_duplicate_columns[series-col_key10],AssertionError: exception type does not match with expected type ,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_general_col_key_type_with_duplicate_columns[series-col_key1],"AssertionError: DataFrame.iloc[:, 0] (column name=""A"") are different -DataFrame.iloc[:, 0] (column name=""0"") values are different (100.0 %) -[index]: [0, 1] -[left]: [, ] -[right]: [, ] -At positional index 0, first diff: != ",failed -9269,tests.integ.modin.frame.test_set_index,test_set_index_pass_arrays[True-True-frame_of_ints_and_timedelta-Index],"TypeError: The parameter ""keys"" may be a column key, one-dimensional array, or a list containing only valid column keys and one-dimensional arrays. Received column of type ",failed -9271,tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[list--item1-col_key3],ValueError: Must have equal len keys and value when setting with an iterable,failed -9275,tests.integ.modin.frame.test_applymap,test_frame_with_timedelta_index,[XPASS(strict)] ,failed -9283,tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[list--item1-col_key4],ValueError: Must have equal len keys and value when setting with an iterable,failed -9295,tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[list--item2-col_key0],Failed: DID NOT RAISE ,failed -9304,tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_numeric[col-index with name-key4],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -9312,tests.integ.modin.frame.test_loc,test_df_loc_set_general_col_key_type_with_duplicate_columns[index-col_key8],"AssertionError: DataFrame.iloc[:, 0] (column name=""A"") are different +DataFrame.iloc[:, 0] (column name=""A"") values are different (100.0 %) +[index]: [0, 1, 2] +[left]: [1, 4, 7] +[right]: [nan, 7.0, 4.0]",failed +tests.integ.modin.frame.test_loc,test_df_loc_set_general_col_key_type_with_duplicate_columns[series-col_key6],ValueError: cannot reindex on an axis with duplicate labels,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_general_col_key_type_with_duplicate_columns[series-col_key8],"AssertionError: DataFrame.iloc[:, 0] (column name=""A"") are different DataFrame.iloc[:, 0] (column name=""A"") values are different (100.0 %) [index]: [0, 1, 2] [left]: [nan, 7.0, 4.0] [right]: [1.0, 4.0, 7.0] At positional index 0, first diff: nan != 1.0",failed -9313,tests.integ.modin.frame.test_tz_convert,test_tz_convert_negative[1-None-None-UTC-NotImplementedError],AttributeError: 'RangeIndex' object has no attribute 'tz_convert',failed -9321,tests.integ.modin.frame.test_tz_convert,test_tz_convert_negative[columns-None-None-UTC-NotImplementedError],AttributeError: 'RangeIndex' object has no attribute 'tz_convert',failed -9329,tests.integ.modin.frame.test_tz_convert,test_tz_convert_negative[0-1-None-UTC-NotImplementedError],ValueError: The level 1 is not valid,failed -9330,tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_numeric[col-index with name-key5],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -9332,tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[list--item2-col_key1],"AssertionError: Regex pattern did not match. - Regex: 'Must have equal len keys and value when setting with an iterable' - Input: 'could not broadcast input array from shape (4,) into shape (2, 3)'",failed -9334,tests.integ.modin.frame.test_tz_convert,test_tz_convert_negative[0-None-False-UTC-NotImplementedError],Failed: DID NOT RAISE ,failed -9339,tests.integ.modin.frame.test_tz_convert,test_tz_convert_negative[0-None-None-UTC+09:00-NotImplementedError],Failed: DID NOT RAISE ,failed -9345,tests.integ.modin.frame.test_applymap,test_applymap_na_action_ignore[applymap],Failed: DID NOT RAISE ,failed -9347,tests.integ.modin.frame.test_loc,test_df_loc_set_general_col_key_type_with_duplicate_columns[index-col_key10],AssertionError: exception type does not match with expected type ,failed -9350,tests.integ.modin.frame.test_applymap,test_applymap_na_action_ignore[map],Failed: DID NOT RAISE ,failed -9352,tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[list--item2-col_key5],ValueError: Must have equal len keys and value when setting with an iterable,failed -9366,tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[array--item0-col_key2],ValueError: Must have equal len keys and value when setting with an iterable,failed -9372,tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[array--item0-col_key3],ValueError: Must have equal len keys and value when setting with an iterable,failed -9377,tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_numeric[col-index with name-key6],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -9382,tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[array--item0-col_key4],ValueError: Must have equal len keys and value when setting with an iterable,failed -9388,tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[array--item0-col_key5],ValueError: Must have equal len keys and value when setting with an iterable,failed -9390,tests.integ.modin.frame.test_set_index,test_set_index_pass_arrays[True-False-frame_of_ints-Index],"TypeError: The parameter ""keys"" may be a column key, one-dimensional array, or a list containing only valid column keys and one-dimensional arrays. Received column of type ",failed -9396,tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_int_series_with_1k_shape[key0],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -9402,tests.integ.modin.frame.test_loc,test_df_loc_set_general_key_with_duplicate_rows[index-item1],ValueError: cannot reindex on an axis with duplicate labels,failed -9408,tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[array--item1-col_key1],"AssertionError: Regex pattern did not match. - Regex: 'Must have equal len keys and value when setting with an iterable' - Input: 'could not broadcast input array from shape (2,) into shape (2, 3)'",failed -9417,tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[array--item1-col_key2],ValueError: Must have equal len keys and value when setting with an iterable,failed -9419,tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_int_series_with_1k_shape[key1],IndexError: index 1204 is out of bounds for axis 0 with size 1000,failed -9428,tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[array--item1-col_key3],ValueError: Must have equal len keys and value when setting with an iterable,failed -9430,tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_int_series_with_1k_shape[key2],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -9438,tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[array--item1-col_key4],ValueError: Must have equal len keys and value when setting with an iterable,failed -9449,tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[array--item2-col_key0],Failed: DID NOT RAISE ,failed -9485,tests.integ.modin.frame.test_set_index,test_set_index_pass_arrays[True-False-frame_of_ints_and_timedelta-Index],"TypeError: The parameter ""keys"" may be a column key, one-dimensional array, or a list containing only valid column keys and one-dimensional arrays. Received column of type ",failed -9488,tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[array--item2-col_key1],"AssertionError: Regex pattern did not match. - Regex: 'Must have equal len keys and value when setting with an iterable' - Input: 'could not broadcast input array from shape (4,) into shape (2, 3)'",failed -9504,tests.integ.modin.frame.test_assign,test_assign_basic_series,"AssertionError: DataFrame.index are different +tests.integ.modin.frame.test_loc,test_df_loc_set_general_key_with_duplicate_rows[array-item1],ValueError: cannot reindex on an axis with duplicate labels,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_general_key_with_duplicate_rows[index-item1],ValueError: cannot reindex on an axis with duplicate labels,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_general_key_with_duplicate_rows[list-item1],ValueError: cannot reindex on an axis with duplicate labels,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_general_key_with_duplicate_rows[series-item1],ValueError: cannot reindex on an axis with duplicate labels,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_item_2d_array_col_length_no_match,"AssertionError: Regex pattern did not match. + Regex: 'shape mismatch: the number of columns 3 from the item does not match with the number of columns 4 to set' + Input: 'could not broadcast input array from shape (3, 3) into shape (2, 4)'",failed +tests.integ.modin.frame.test_loc,test_df_loc_set_item_2d_array_row_length_no_match,"ValueError: could not broadcast input array from shape (3, 4) into shape (2, 4)",failed +tests.integ.modin.frame.test_loc,test_df_loc_set_item_2d_array_scalar_row_loc_negative,Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_item_df_single_value[A-val_columns0-val_index0],ValueError: Length of values (1) does not match length of index (4),failed +tests.integ.modin.frame.test_loc,test_df_loc_set_item_df_single_value[A-val_columns0-val_index1],ValueError: Length of values (1) does not match length of index (4),failed +tests.integ.modin.frame.test_loc,test_df_loc_set_item_df_single_value[A-val_columns1-val_index0],ValueError: Length of values (1) does not match length of index (4),failed +tests.integ.modin.frame.test_loc,test_df_loc_set_item_df_single_value[A-val_columns1-val_index1],ValueError: Length of values (1) does not match length of index (4),failed +tests.integ.modin.frame.test_loc,test_df_loc_set_item_df_single_value[key0-val_columns0-val_index0],ValueError: Length of values (1) does not match length of index (4),failed +tests.integ.modin.frame.test_loc,test_df_loc_set_item_df_single_value[key0-val_columns0-val_index1],ValueError: Length of values (1) does not match length of index (4),failed +tests.integ.modin.frame.test_loc,test_df_loc_set_item_df_single_value[key0-val_columns1-val_index0],ValueError: Length of values (1) does not match length of index (4),failed +tests.integ.modin.frame.test_loc,test_df_loc_set_item_df_single_value[key0-val_columns1-val_index1],ValueError: Length of values (1) does not match length of index (4),failed +tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[False--1-4-10],ValueError: Incompatible indexer with DataFrame,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[False--1-4-None],ValueError: Incompatible indexer with DataFrame,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[False--2--1-1],ValueError: Incompatible indexer with DataFrame,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[False--2-1-4],ValueError: Incompatible indexer with DataFrame,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[False--2-None-1],ValueError: Incompatible indexer with DataFrame,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[False--9-None-10],ValueError: Incompatible indexer with DataFrame,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[False--9-None-1],ValueError: Incompatible indexer with DataFrame,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[False--9-None-4],ValueError: Incompatible indexer with DataFrame,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[False--9-None-None],ValueError: Incompatible indexer with DataFrame,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[False-1-1--1],ValueError: Incompatible indexer with DataFrame,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[False-1-1-None],ValueError: Incompatible indexer with DataFrame,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[False-2-10-4],ValueError: Incompatible indexer with DataFrame,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[False-2-4-1],ValueError: Incompatible indexer with DataFrame,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[False-2-None-4],ValueError: Incompatible indexer with DataFrame,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[False-9-10--1],ValueError: Incompatible indexer with DataFrame,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[False-9-10-1],ValueError: Incompatible indexer with DataFrame,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[False-9-10-None],ValueError: Incompatible indexer with DataFrame,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[False-9-None--1],ValueError: Incompatible indexer with DataFrame,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[False-9-None-1],ValueError: Incompatible indexer with DataFrame,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[False-9-None-4],ValueError: Incompatible indexer with DataFrame,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[False-9-None-None],ValueError: Incompatible indexer with DataFrame,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[False-None-1-1],ValueError: Incompatible indexer with DataFrame,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[False-None-4-4],ValueError: Incompatible indexer with DataFrame,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True--1--1--1],ValueError: Incompatible indexer with DataFrame,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True--1--1-None],ValueError: Incompatible indexer with DataFrame,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True--2--1--1],ValueError: Incompatible indexer with DataFrame,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True--2--1-1],ValueError: Incompatible indexer with DataFrame,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True--2--1-None],ValueError: Incompatible indexer with DataFrame,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True--2-10-4],ValueError: Incompatible indexer with DataFrame,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True--2-4-4],ValueError: Incompatible indexer with DataFrame,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True--2-None-4],ValueError: Incompatible indexer with DataFrame,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True--9--1--1],ValueError: Incompatible indexer with DataFrame,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True--9--1-1],ValueError: Incompatible indexer with DataFrame,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True--9--1-4],ValueError: Incompatible indexer with DataFrame,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True--9--1-None],ValueError: Incompatible indexer with DataFrame,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True--9-1--1],ValueError: Incompatible indexer with DataFrame,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True--9-1-1],ValueError: Incompatible indexer with DataFrame,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True--9-1-4],ValueError: Incompatible indexer with DataFrame,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True--9-1-None],ValueError: Incompatible indexer with DataFrame,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True--9-10--1],ValueError: Incompatible indexer with DataFrame,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True--9-10-1],ValueError: Incompatible indexer with DataFrame,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True--9-10-4],ValueError: Incompatible indexer with DataFrame,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True--9-10-None],ValueError: Incompatible indexer with DataFrame,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True--9-4--1],ValueError: Incompatible indexer with DataFrame,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True--9-4-1],ValueError: Incompatible indexer with DataFrame,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True--9-4-4],ValueError: Incompatible indexer with DataFrame,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True--9-4-None],ValueError: Incompatible indexer with DataFrame,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True--9-None--1],ValueError: Incompatible indexer with DataFrame,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True--9-None-1],ValueError: Incompatible indexer with DataFrame,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True--9-None-4],ValueError: Incompatible indexer with DataFrame,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True--9-None-None],ValueError: Incompatible indexer with DataFrame,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True-2--1-1],ValueError: Incompatible indexer with DataFrame,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True-2-1-1],ValueError: Incompatible indexer with DataFrame,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True-2-None-1],ValueError: Incompatible indexer with DataFrame,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True-9--1-10],ValueError: Incompatible indexer with DataFrame,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True-9--1-1],ValueError: Incompatible indexer with DataFrame,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True-9--1-4],ValueError: Incompatible indexer with DataFrame,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True-9--1-None],ValueError: Incompatible indexer with DataFrame,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True-9-1-10],ValueError: Incompatible indexer with DataFrame,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True-9-1-1],ValueError: Incompatible indexer with DataFrame,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True-9-1-4],ValueError: Incompatible indexer with DataFrame,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True-9-1-None],ValueError: Incompatible indexer with DataFrame,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True-9-10-10],ValueError: Incompatible indexer with DataFrame,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True-9-10-1],ValueError: Incompatible indexer with DataFrame,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True-9-10-4],ValueError: Incompatible indexer with DataFrame,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True-9-10-None],ValueError: Incompatible indexer with DataFrame,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True-9-4-10],ValueError: Incompatible indexer with DataFrame,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True-9-4-1],ValueError: Incompatible indexer with DataFrame,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True-9-4-4],ValueError: Incompatible indexer with DataFrame,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True-9-4-None],ValueError: Incompatible indexer with DataFrame,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True-9-None-10],ValueError: Incompatible indexer with DataFrame,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True-9-None-1],ValueError: Incompatible indexer with DataFrame,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True-9-None-4],ValueError: Incompatible indexer with DataFrame,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True-9-None-None],ValueError: Incompatible indexer with DataFrame,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True-None-1-1],ValueError: Incompatible indexer with DataFrame,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_key_slice[True-None-4-4],ValueError: Incompatible indexer with DataFrame,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_list_like_row_key[array-row_key0],"AssertionError: DataFrame.iloc[:, 0] (column name=""A"") are different -Attribute ""names"" are different -[left]: [None] -[right]: ['index']",failed -9513,tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[array--item2-col_key5],ValueError: Must have equal len keys and value when setting with an iterable,failed -9517,tests.integ.modin.frame.test_join,test_join_suffix_on_list_negative,"AssertionError: Regex pattern did not match. - Regex: 'Join dataframes have overlapping column labels' - Input: ""Indexes have overlapping values: Index(['key'], dtype='object')""",failed -9522,tests.integ.modin.frame.test_assign,test_assign_basic_series_mismatched_index[reversed_index],"AssertionError: DataFrame.index are different +DataFrame.iloc[:, 0] (column name=""A"") values are different (33.33333 %) +[index]: [0, 1, 2] +[left]: [nan, 4.0, 50.0] +[right]: [nan, 4.0, 40.0] +At positional index 2, first diff: 50.0 != 40.0",failed +tests.integ.modin.frame.test_loc,test_df_loc_set_list_like_row_key[array-row_key2],IndexError: index 3 is out of bounds for axis 0 with size 3,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_list_like_row_key[array-row_key3],ValueError: Incompatible indexer with DataFrame,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_list_like_row_key[array-row_key4],"AssertionError: DataFrame.iloc[:, 0] (column name=""A"") are different -Attribute ""names"" are different -[left]: [None] -[right]: ['index']",failed -9524,tests.integ.modin.frame.test_set_index,test_set_index_pass_arrays[False-True-frame_of_ints-Series],"KeyError: ""None of ['a'] are in the columns""",failed -9531,tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_scalar[row--8],IndexError: index -8 is out of bounds for axis 0 with size 7,failed -9537,tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[tuple--item0-col_key2],ValueError: Must have equal len keys and value when setting with an iterable,failed -9540,tests.integ.modin.frame.test_assign,test_assign_basic_series_mismatched_index[different_index],"AssertionError: DataFrame.index are different +DataFrame.iloc[:, 0] (column name=""A"") values are different (66.66667 %) +[index]: [0, 1, 2] +[left]: [nan, 80.0, 50.0] +[right]: [nan, 70.0, 40.0] +At positional index 1, first diff: 80.0 != 70.0",failed +tests.integ.modin.frame.test_loc,test_df_loc_set_list_like_row_key[array-row_key6],"AssertionError: DataFrame.iloc[:, 0] (column name=""A"") are different -Attribute ""names"" are different -[left]: [None] -[right]: ['index']",failed -9542,tests.integ.modin.frame.test_join,test_join_invalid_how_negative,"AssertionError: Regex pattern did not match. - Regex: 'do not recognize join method full_outer_join' - Input: ""columns overlap but no suffix specified: Index(['a'], dtype='object')""",failed -9546,tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[tuple--item0-col_key3],ValueError: Must have equal len keys and value when setting with an iterable,failed -9552,tests.integ.modin.frame.test_assign,test_assign_basic_non_pandas_object[2],"AssertionError: DataFrame.index are different +DataFrame.iloc[:, 0] (column name=""A"") values are different (66.66667 %) +[index]: [0, 1, 2] +[left]: [nan, 80.0, 50.0] +[right]: [nan, 70.0, 40.0] +At positional index 1, first diff: 80.0 != 70.0",failed +tests.integ.modin.frame.test_loc,test_df_loc_set_list_like_row_key[index-row_key0],"AssertionError: DataFrame.iloc[:, 0] (column name=""A"") are different -Attribute ""names"" are different -[left]: [None] -[right]: ['index']",failed -9558,tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[tuple--item0-col_key4],ValueError: Must have equal len keys and value when setting with an iterable,failed -9563,tests.integ.modin.frame.test_assign,test_assign_basic_non_pandas_object[new_col_value1],"AssertionError: DataFrame.index are different +DataFrame.iloc[:, 0] (column name=""A"") values are different (33.33333 %) +[index]: [0, 1, 2] +[left]: [nan, 4.0, 50.0] +[right]: [nan, 4.0, 40.0] +At positional index 2, first diff: 50.0 != 40.0",failed +tests.integ.modin.frame.test_loc,test_df_loc_set_list_like_row_key[index-row_key2],IndexError: index 3 is out of bounds for axis 0 with size 3,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_list_like_row_key[index-row_key3],ValueError: Incompatible indexer with DataFrame,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_list_like_row_key[index-row_key4],"AssertionError: DataFrame.iloc[:, 0] (column name=""A"") are different -Attribute ""names"" are different -[left]: [None] -[right]: ['index']",failed -9565,tests.integ.modin.frame.test_join,test_join_unnamed_series_in_list_negative,AttributeError: 'Series' object has no attribute 'columns',failed -9566,tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[tuple--item0-col_key5],ValueError: Must have equal len keys and value when setting with an iterable,failed -9571,tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_scalar[row-7],IndexError: positional indexers are out-of-bounds,failed -9573,tests.integ.modin.frame.test_assign,test_assign_basic_non_pandas_object[x],"AssertionError: DataFrame.index are different +DataFrame.iloc[:, 0] (column name=""A"") values are different (66.66667 %) +[index]: [0, 1, 2] +[left]: [nan, 80.0, 50.0] +[right]: [nan, 70.0, 40.0] +At positional index 1, first diff: 80.0 != 70.0",failed +tests.integ.modin.frame.test_loc,test_df_loc_set_list_like_row_key[index-row_key6],"AssertionError: DataFrame.iloc[:, 0] (column name=""A"") are different -Attribute ""names"" are different -[left]: [None] -[right]: ['index']",failed -9574,tests.integ.modin.frame.test_tz_localize,test_tz_localize_negative[UTC-1-None-None-raise-raise-NotImplementedError],ValueError: No axis named 1 for object type Series,failed -9577,tests.integ.modin.frame.test_iloc,test_df_iloc_get_range_deviating_behavior[row-range_key0],IndexError: positional indexers are out-of-bounds,failed -9578,tests.integ.modin.frame.test_join,test_join_list_mixed,AttributeError: 'Series' object has no attribute 'columns',failed -9579,tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[tuple--item1-col_key1],"AssertionError: Regex pattern did not match. +DataFrame.iloc[:, 0] (column name=""A"") values are different (66.66667 %) +[index]: [0, 1, 2] +[left]: [nan, 80.0, 50.0] +[right]: [nan, 70.0, 40.0] +At positional index 1, first diff: 80.0 != 70.0",failed +tests.integ.modin.frame.test_loc,test_df_loc_set_list_like_row_key[list-row_key0],"AssertionError: DataFrame.iloc[:, 0] (column name=""A"") are different + +DataFrame.iloc[:, 0] (column name=""A"") values are different (33.33333 %) +[index]: [0, 1, 2] +[left]: [nan, 4.0, 50.0] +[right]: [nan, 4.0, 40.0] +At positional index 2, first diff: 50.0 != 40.0",failed +tests.integ.modin.frame.test_loc,test_df_loc_set_list_like_row_key[list-row_key1],"KeyError: ""None of [[False, False, False]] are in the [Index([0, 1, 2], dtype='int64')]""",failed +tests.integ.modin.frame.test_loc,test_df_loc_set_list_like_row_key[list-row_key2],ValueError: Item wrong length 6 instead of 3!,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_list_like_row_key[list-row_key3],ValueError: Item wrong length 2 instead of 3!,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_list_like_row_key[list-row_key4],"AssertionError: DataFrame.iloc[:, 0] (column name=""A"") are different + +DataFrame.iloc[:, 0] (column name=""A"") values are different (66.66667 %) +[index]: [0, 1, 2] +[left]: [nan, 80.0, 50.0] +[right]: [nan, 70.0, 40.0] +At positional index 1, first diff: 80.0 != 70.0",failed +tests.integ.modin.frame.test_loc,test_df_loc_set_list_like_row_key[list-row_key5],"KeyError: ""None of [[]] are in the [Index([0, 1, 2], dtype='int64')]""",failed +tests.integ.modin.frame.test_loc,test_df_loc_set_list_like_row_key[list-row_key6],"AssertionError: DataFrame.iloc[:, 0] (column name=""A"") are different + +DataFrame.iloc[:, 0] (column name=""A"") values are different (66.66667 %) +[index]: [0, 1, 2] +[left]: [nan, 80.0, 50.0] +[right]: [nan, 70.0, 40.0] +At positional index 1, first diff: 80.0 != 70.0",failed +tests.integ.modin.frame.test_loc,test_df_loc_set_none,"KeyError: array([None], dtype=object)",failed +tests.integ.modin.frame.test_loc,test_df_loc_set_number_of_cols_mismatch_negative,Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_row_col_with_non_matching_scalar_key[native_df0--2-B-20],KeyError: array([-2]),failed +tests.integ.modin.frame.test_loc,test_df_loc_set_row_col_with_non_matching_scalar_key[native_df0-5-A-0],KeyError: array([5]),failed +tests.integ.modin.frame.test_loc,test_df_loc_set_row_col_with_non_matching_scalar_key[native_df0-A-C-7],"KeyError: array(['A'], dtype=',failed +tests.integ.modin.frame.test_loc,test_df_loc_set_scalar_row_key_enlargement[data_index0-a-col_key4-95],"KeyError: array(['T'], dtype=object)",failed +tests.integ.modin.frame.test_loc,test_df_loc_set_scalar_row_key_enlargement[data_index0-a-col_key5-95],SNOW-1057861: Investigate locset behavior with missing index value,xfailed +tests.integ.modin.frame.test_loc,test_df_loc_set_scalar_row_key_enlargement[data_index0-c-T-97],"KeyError: array(['T'], dtype=',failed +tests.integ.modin.frame.test_loc,test_df_loc_set_scalar_with_item_negative[a-item_value1-True-True],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_scalar_with_item_negative[a-item_value3-True-True],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_series_and_list_like_row_key_negative[array],KeyError: array([3]),failed +tests.integ.modin.frame.test_loc,test_df_loc_set_series_and_list_like_row_key_negative[index],"KeyError: Index([3], dtype='int64')",failed +tests.integ.modin.frame.test_loc,test_df_loc_set_series_and_list_like_row_key_negative[list],KeyError: array([3]),failed +tests.integ.modin.frame.test_loc,test_df_loc_set_series_and_list_like_row_key_negative[series],KeyError: array([3]),failed +tests.integ.modin.frame.test_loc,test_df_loc_set_series_row_key[row_key0],"AssertionError: DataFrame.iloc[:, 0] (column name=""A"") are different + +DataFrame.iloc[:, 0] (column name=""A"") values are different (33.33333 %) +[index]: [0, 1, 2] +[left]: [nan, 4.0, 50.0] +[right]: [nan, 4.0, 40.0] +At positional index 2, first diff: 50.0 != 40.0",failed +tests.integ.modin.frame.test_loc,test_df_loc_set_series_row_key[row_key2],IndexError: index 3 is out of bounds for axis 0 with size 3,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_series_row_key[row_key3],ValueError: Incompatible indexer with DataFrame,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_series_row_key[row_key4],"AssertionError: DataFrame.iloc[:, 0] (column name=""A"") are different + +DataFrame.iloc[:, 0] (column name=""A"") values are different (66.66667 %) +[index]: [0, 1, 2] +[left]: [nan, 80.0, 50.0] +[right]: [nan, 70.0, 40.0] +At positional index 1, first diff: 80.0 != 70.0",failed +tests.integ.modin.frame.test_loc,test_df_loc_set_series_row_key[row_key6],"AssertionError: DataFrame.iloc[:, 0] (column name=""A"") are different + +DataFrame.iloc[:, 0] (column name=""A"") values are different (66.66667 %) +[index]: [0, 1, 2] +[left]: [nan, 80.0, 50.0] +[right]: [nan, 70.0, 40.0] +At positional index 1, first diff: 80.0 != 70.0",failed +tests.integ.modin.frame.test_loc,test_df_loc_set_series_value[0-True-key1],"AssertionError: DataFrame.iloc[:, 0] (column name=""A"") are different + +DataFrame.iloc[:, 0] (column name=""A"") values are different (50.0 %) +[index]: [0, 1] +[left]: [1, 4] +[right]: [9, 4]",failed +tests.integ.modin.frame.test_loc,test_df_loc_set_series_value[None-False-key0],"ValueError: could not broadcast input array from shape (2,) into shape (2, 3)",failed +tests.integ.modin.frame.test_loc,test_df_loc_set_series_value[None-False-key1],"ValueError: could not broadcast input array from shape (2,) into shape (2, 3)",failed +tests.integ.modin.frame.test_loc,test_df_loc_set_series_value[None-True-key0],"ValueError: could not broadcast input array from shape (2,) into shape (2, 3)",failed +tests.integ.modin.frame.test_loc,test_df_loc_set_series_value[None-True-key1],"ValueError: could not broadcast input array from shape (2,) into shape (2, 3)",failed +tests.integ.modin.frame.test_loc,test_df_loc_set_series_value_slice_key[0-key0],ValueError: buffer source array is read-only,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_series_value_slice_key[None-key0],ValueError: buffer source array is read-only,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_series_value_slice_key[None-key1],"ValueError: could not broadcast input array from shape (2,) into shape (2, 3)",failed +tests.integ.modin.frame.test_loc,test_df_loc_set_with_column_wise_list_like_item[array--item2-A],"ValueError: could not broadcast input array from shape (4,) into shape (2, 1)",failed +tests.integ.modin.frame.test_loc,test_df_loc_set_with_column_wise_list_like_item[array--item2-None],"ValueError: could not broadcast input array from shape (4,) into shape (2, 1)",failed +tests.integ.modin.frame.test_loc,test_df_loc_set_with_column_wise_list_like_item[array--item2-X],"ValueError: could not broadcast input array from shape (4,) into shape (2, 1)",failed +tests.integ.modin.frame.test_loc,test_df_loc_set_with_column_wise_list_like_item[array--item2-col_key2],"ValueError: could not broadcast input array from shape (4,) into shape (2, 1)",failed +tests.integ.modin.frame.test_loc,test_df_loc_set_with_column_wise_list_like_item[array--item2-col_key3],"ValueError: could not broadcast input array from shape (4,) into shape (2, 1)",failed +tests.integ.modin.frame.test_loc,test_df_loc_set_with_column_wise_list_like_item[array--item2-col_key4],"ValueError: could not broadcast input array from shape (4,) into shape (2, 1)",failed +tests.integ.modin.frame.test_loc,test_df_loc_set_with_column_wise_list_like_item[index--item2-A],"ValueError: could not broadcast input array from shape (4,) into shape (2, 1)",failed +tests.integ.modin.frame.test_loc,test_df_loc_set_with_column_wise_list_like_item[index--item2-None],"ValueError: could not broadcast input array from shape (4,) into shape (2, 1)",failed +tests.integ.modin.frame.test_loc,test_df_loc_set_with_column_wise_list_like_item[index--item2-X],"ValueError: could not broadcast input array from shape (4,) into shape (2, 1)",failed +tests.integ.modin.frame.test_loc,test_df_loc_set_with_column_wise_list_like_item[index--item2-col_key2],"ValueError: could not broadcast input array from shape (4,) into shape (2, 1)",failed +tests.integ.modin.frame.test_loc,test_df_loc_set_with_column_wise_list_like_item[index--item2-col_key3],"ValueError: could not broadcast input array from shape (4,) into shape (2, 1)",failed +tests.integ.modin.frame.test_loc,test_df_loc_set_with_column_wise_list_like_item[index--item2-col_key4],"ValueError: could not broadcast input array from shape (4,) into shape (2, 1)",failed +tests.integ.modin.frame.test_loc,test_df_loc_set_with_column_wise_list_like_item[list--item2-A],"ValueError: could not broadcast input array from shape (4,) into shape (2, 1)",failed +tests.integ.modin.frame.test_loc,test_df_loc_set_with_column_wise_list_like_item[list--item2-None],"ValueError: could not broadcast input array from shape (4,) into shape (2, 1)",failed +tests.integ.modin.frame.test_loc,test_df_loc_set_with_column_wise_list_like_item[list--item2-X],"ValueError: could not broadcast input array from shape (4,) into shape (2, 1)",failed +tests.integ.modin.frame.test_loc,test_df_loc_set_with_column_wise_list_like_item[list--item2-col_key2],"ValueError: could not broadcast input array from shape (4,) into shape (2, 1)",failed +tests.integ.modin.frame.test_loc,test_df_loc_set_with_column_wise_list_like_item[list--item2-col_key3],"ValueError: could not broadcast input array from shape (4,) into shape (2, 1)",failed +tests.integ.modin.frame.test_loc,test_df_loc_set_with_column_wise_list_like_item[list--item2-col_key4],"ValueError: could not broadcast input array from shape (4,) into shape (2, 1)",failed +tests.integ.modin.frame.test_loc,test_df_loc_set_with_column_wise_list_like_item[tuple--item2-A],"ValueError: could not broadcast input array from shape (4,) into shape (2, 1)",failed +tests.integ.modin.frame.test_loc,test_df_loc_set_with_column_wise_list_like_item[tuple--item2-None],"ValueError: could not broadcast input array from shape (4,) into shape (2, 1)",failed +tests.integ.modin.frame.test_loc,test_df_loc_set_with_column_wise_list_like_item[tuple--item2-X],"ValueError: could not broadcast input array from shape (4,) into shape (2, 1)",failed +tests.integ.modin.frame.test_loc,test_df_loc_set_with_column_wise_list_like_item[tuple--item2-col_key2],"ValueError: could not broadcast input array from shape (4,) into shape (2, 1)",failed +tests.integ.modin.frame.test_loc,test_df_loc_set_with_column_wise_list_like_item[tuple--item2-col_key3],"ValueError: could not broadcast input array from shape (4,) into shape (2, 1)",failed +tests.integ.modin.frame.test_loc,test_df_loc_set_with_column_wise_list_like_item[tuple--item2-col_key4],"ValueError: could not broadcast input array from shape (4,) into shape (2, 1)",failed +tests.integ.modin.frame.test_loc,test_df_loc_set_with_empty_key_and_empty_item_negative[item0-key1],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_with_empty_key_and_empty_item_negative[item0-key2],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_with_empty_key_and_empty_item_negative[item0-key3],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_with_empty_key_and_empty_item_negative[item1-key1],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_with_empty_key_and_empty_item_negative[item1-key2],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_with_empty_key_and_empty_item_negative[item1-key3],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_with_empty_key_and_empty_item_negative[item2-key1],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_with_empty_key_and_empty_item_negative[item2-key2],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_with_empty_key_and_empty_item_negative[item2-key3],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_with_empty_key_and_empty_item_negative[item3-key1],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_with_empty_key_and_empty_item_negative[item3-key2],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_with_empty_key_and_empty_item_negative[item3-key3],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_with_empty_key_and_list_like_item[key0],"KeyError: ""None of [[]] are in the [Index([0, 1, 2], dtype='int64')]""",failed +tests.integ.modin.frame.test_loc,test_df_loc_set_with_multi_index_not_implemented,KeyError: array([1]),failed +tests.integ.modin.frame.test_loc,test_df_loc_set_with_non_matching_1d_scalar_key[None-index3-columns3--2-20],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_with_non_matching_1d_scalar_key[None-index3-columns3-5-0],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_with_non_matching_1d_scalar_key[data0-None-columns0-A-7],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_with_non_matching_1d_scalar_key[data1-None-columns1-A-7],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[array--item0-col_key2],ValueError: Must have equal len keys and value when setting with an iterable,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[array--item0-col_key3],ValueError: Must have equal len keys and value when setting with an iterable,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[array--item0-col_key4],ValueError: Must have equal len keys and value when setting with an iterable,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[array--item0-col_key5],ValueError: Must have equal len keys and value when setting with an iterable,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[array--item1-col_key1],"AssertionError: Regex pattern did not match. + Regex: 'Must have equal len keys and value when setting with an iterable' + Input: 'could not broadcast input array from shape (2,) into shape (2, 3)'",failed +tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[array--item1-col_key2],ValueError: Must have equal len keys and value when setting with an iterable,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[array--item1-col_key3],ValueError: Must have equal len keys and value when setting with an iterable,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[array--item1-col_key4],ValueError: Must have equal len keys and value when setting with an iterable,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[array--item2-col_key0],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[array--item2-col_key1],"AssertionError: Regex pattern did not match. + Regex: 'Must have equal len keys and value when setting with an iterable' + Input: 'could not broadcast input array from shape (4,) into shape (2, 3)'",failed +tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[array--item2-col_key5],ValueError: Must have equal len keys and value when setting with an iterable,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[index--item0-col_key2],ValueError: Must have equal len keys and value when setting with an iterable,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[index--item0-col_key3],ValueError: Must have equal len keys and value when setting with an iterable,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[index--item0-col_key4],ValueError: Must have equal len keys and value when setting with an iterable,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[index--item0-col_key5],ValueError: Must have equal len keys and value when setting with an iterable,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[index--item1-col_key1],"AssertionError: Regex pattern did not match. + Regex: 'Must have equal len keys and value when setting with an iterable' + Input: 'could not broadcast input array from shape (2,) into shape (2, 3)'",failed +tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[index--item1-col_key2],ValueError: Must have equal len keys and value when setting with an iterable,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[index--item1-col_key3],ValueError: Must have equal len keys and value when setting with an iterable,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[index--item1-col_key4],ValueError: Must have equal len keys and value when setting with an iterable,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[index--item2-col_key0],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[index--item2-col_key1],"AssertionError: Regex pattern did not match. + Regex: 'Must have equal len keys and value when setting with an iterable' + Input: 'could not broadcast input array from shape (4,) into shape (2, 3)'",failed +tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[index--item2-col_key5],ValueError: Must have equal len keys and value when setting with an iterable,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[list--item0-col_key2],ValueError: Must have equal len keys and value when setting with an iterable,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[list--item0-col_key3],ValueError: Must have equal len keys and value when setting with an iterable,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[list--item0-col_key4],ValueError: Must have equal len keys and value when setting with an iterable,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[list--item0-col_key5],ValueError: Must have equal len keys and value when setting with an iterable,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[list--item1-col_key1],"AssertionError: Regex pattern did not match. Regex: 'Must have equal len keys and value when setting with an iterable' Input: 'could not broadcast input array from shape (2,) into shape (2, 3)'",failed -9580,tests.integ.modin.frame.test_loc,test_df_loc_get_key_bool[index-key5],IndexError: positional indexers are out-of-bounds,failed -9582,tests.integ.modin.frame.test_assign,test_assign_invalid_long_column_length_negative,ValueError: Length of values (5) does not match length of index (3),failed -9584,tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_scalar[row-52879115],IndexError: positional indexers are out-of-bounds,failed -9585,tests.integ.modin.frame.test_tz_localize,test_tz_localize_negative[UTC-columns-None-None-raise-raise-NotImplementedError],ValueError: No axis named 1 for object type Series,failed -9587,tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[tuple--item1-col_key2],ValueError: Must have equal len keys and value when setting with an iterable,failed -9590,tests.integ.modin.frame.test_iloc,test_df_iloc_get_range_deviating_behavior[row-range_key1],IndexError: positional indexers are out-of-bounds,failed -9591,tests.integ.modin.frame.test_assign,test_assign_invalid_short_column_length_negative,ValueError: Length of values (2) does not match length of index (3),failed -9593,tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_scalar[row--9028751],IndexError: index -9028751 is out of bounds for axis 0 with size 7,failed -9595,tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[tuple--item1-col_key3],ValueError: Must have equal len keys and value when setting with an iterable,failed -9599,tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[tuple--item1-col_key4],ValueError: Must have equal len keys and value when setting with an iterable,failed -9601,tests.integ.modin.frame.test_assign,test_assign_short_series,"AssertionError: DataFrame.index are different - -Attribute ""names"" are different -[left]: [None] -[right]: ['index']",failed -9602,tests.integ.modin.frame.test_set_index,test_set_index_pass_arrays[False-True-frame_of_ints-Index],"TypeError: The parameter ""keys"" may be a column key, one-dimensional array, or a list containing only valid column keys and one-dimensional arrays. Received column of type ",failed -9607,tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[tuple--item2-col_key0],Failed: DID NOT RAISE ,failed -9610,tests.integ.modin.frame.test_set_index,test_set_index_pass_arrays[False-True-frame_of_ints-array],"KeyError: ""None of ['a'] are in the columns""",failed -9611,tests.integ.modin.frame.test_assign,test_assign_short_series_mismatched_index[reversed_index],"AssertionError: DataFrame.index are different - -Attribute ""names"" are different -[left]: [None] -[right]: ['index']",failed -9613,tests.integ.modin.frame.test_tz_localize,test_tz_localize_negative[UTC-0-1-None-raise-raise-NotImplementedError],ValueError: The level 1 is not valid,failed -9616,tests.integ.modin.frame.test_tz_localize,test_tz_localize_negative[UTC-0-None-False-raise-raise-NotImplementedError],Failed: DID NOT RAISE ,failed -9618,tests.integ.modin.frame.test_tz_localize,test_tz_localize_negative[UTC-0-None-True-infer-raise-NotImplementedError],Failed: DID NOT RAISE ,failed -9619,tests.integ.modin.frame.test_set_index,test_set_index_pass_arrays[False-True-frame_of_ints-list],"KeyError: ""None of ['a'] are in the columns""",failed -9620,tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[tuple--item2-col_key1],"AssertionError: Regex pattern did not match. +tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[list--item1-col_key2],ValueError: Must have equal len keys and value when setting with an iterable,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[list--item1-col_key3],ValueError: Must have equal len keys and value when setting with an iterable,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[list--item1-col_key4],ValueError: Must have equal len keys and value when setting with an iterable,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[list--item2-col_key0],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[list--item2-col_key1],"AssertionError: Regex pattern did not match. Regex: 'Must have equal len keys and value when setting with an iterable' Input: 'could not broadcast input array from shape (4,) into shape (2, 3)'",failed -9623,tests.integ.modin.frame.test_tz_localize,test_tz_localize_negative[UTC-0-None-True-NaT-raise-NotImplementedError],Failed: DID NOT RAISE ,failed -9624,tests.integ.modin.frame.test_iloc,test_df_iloc_get_range_deviating_behavior[row-range_key2],IndexError: positional indexers are out-of-bounds,failed -9627,tests.integ.modin.frame.test_tz_localize,test_tz_localize_negative[UTC-0-None-True-ambiguous6-raise-NotImplementedError],Failed: DID NOT RAISE ,failed -9629,tests.integ.modin.frame.test_assign,test_assign_short_series_mismatched_index[different_index],"AssertionError: DataFrame.index are different - -Attribute ""names"" are different -[left]: [None] -[right]: ['index']",failed -9632,tests.integ.modin.frame.test_tz_localize,test_tz_localize_negative[UTC-0-None-True-raise-shift_forward-NotImplementedError],Failed: DID NOT RAISE ,failed -9633,tests.integ.modin.frame.test_set_index,test_set_index_pass_arrays[False-True-frame_of_ints-],"KeyError: ""None of ['a'] are in the columns""",failed -9636,tests.integ.modin.frame.test_tz_localize,test_tz_localize_negative[UTC-0-None-True-raise-shift_backward-NotImplementedError],Failed: DID NOT RAISE ,failed -9638,tests.integ.modin.frame.test_tz_localize,test_tz_localize_negative[UTC-0-None-True-raise-NaT-NotImplementedError],Failed: DID NOT RAISE ,failed -9639,tests.integ.modin.frame.test_iloc,test_df_iloc_get_range_deviating_behavior[row-range_key3],IndexError: positional indexers are out-of-bounds,failed -9642,tests.integ.modin.frame.test_tz_localize,test_tz_localize_negative[UTC-0-None-True-raise-nonexistent10-NotImplementedError],Failed: DID NOT RAISE ,failed -9643,tests.integ.modin.frame.test_assign,test_assign_basic_callable[identity_fn],"AssertionError: DataFrame.index are different - -Attribute ""names"" are different -[left]: [None] -[right]: ['index']",failed -9644,tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_scalar[col--7],IndexError: index -7 is out of bounds for axis 0 with size 6,failed -9645,tests.integ.modin.frame.test_tz_localize,test_tz_localize_negative[UTC-0-None-True-infer-shift_forward-NotImplementedError],Failed: DID NOT RAISE ,failed -9647,tests.integ.modin.frame.test_tz_localize,test_tz_localize_negative[UTC+09:00-0-None-None-raise-raise-NotImplementedError],Failed: DID NOT RAISE ,failed -9649,tests.integ.modin.frame.test_set_index,test_set_index_pass_arrays[False-True-frame_of_ints_and_timedelta-Series],"KeyError: ""None of ['a'] are in the columns""",failed -9653,tests.integ.modin.frame.test_iloc,test_df_iloc_get_range_deviating_behavior[col-range_key0],IndexError: positional indexers are out-of-bounds,failed -9655,tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_scalar[col-6],IndexError: positional indexers are out-of-bounds,failed -9656,tests.integ.modin.frame.test_rank,test_rank_unsupported_args_negative[keep-True-min],Failed: DID NOT RAISE ,failed -9657,tests.integ.modin.frame.test_rank,test_rank_unsupported_args_negative[keep-True-dense],Failed: DID NOT RAISE ,failed -9659,tests.integ.modin.frame.test_rank,test_rank_unsupported_args_negative[keep-True-first],Failed: DID NOT RAISE ,failed -9660,tests.integ.modin.frame.test_iloc,test_df_iloc_get_range_deviating_behavior[col-range_key1],IndexError: positional indexers are out-of-bounds,failed -9661,tests.integ.modin.frame.test_rank,test_rank_unsupported_args_negative[keep-True-max],Failed: DID NOT RAISE ,failed -9663,tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[tuple--item2-col_key5],ValueError: Must have equal len keys and value when setting with an iterable,failed -9664,tests.integ.modin.frame.test_rank,test_rank_unsupported_args_negative[keep-True-average],Failed: DID NOT RAISE ,failed -9665,tests.integ.modin.frame.test_rank,test_rank_unsupported_args_negative[keep-False-min],Failed: DID NOT RAISE ,failed -9666,tests.integ.modin.frame.test_assign,test_assign_basic_callable[add_two_cols_fn],"AssertionError: DataFrame.index are different - -Attribute ""names"" are different -[left]: [None] -[right]: ['index']",failed -9667,tests.integ.modin.frame.test_rank,test_rank_unsupported_args_negative[keep-False-dense],Failed: DID NOT RAISE ,failed -9668,tests.integ.modin.frame.test_rank,test_rank_unsupported_args_negative[keep-False-first],Failed: DID NOT RAISE ,failed -9669,tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_scalar[col--8],IndexError: index -8 is out of bounds for axis 0 with size 7,failed -9670,tests.integ.modin.frame.test_iloc,test_df_iloc_get_range_deviating_behavior[col-range_key2],IndexError: positional indexers are out-of-bounds,failed -9671,tests.integ.modin.frame.test_rank,test_rank_unsupported_args_negative[keep-False-max],Failed: DID NOT RAISE ,failed -9674,tests.integ.modin.frame.test_rank,test_rank_unsupported_args_negative[keep-False-average],Failed: DID NOT RAISE ,failed -9676,tests.integ.modin.frame.test_rank,test_rank_unsupported_args_negative[top-True-min],Failed: DID NOT RAISE ,failed -9678,tests.integ.modin.frame.test_assign,test_assign_chained_callable,"AssertionError: DataFrame.index are different +tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[list--item2-col_key5],ValueError: Must have equal len keys and value when setting with an iterable,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[tuple--item0-col_key2],ValueError: Must have equal len keys and value when setting with an iterable,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[tuple--item0-col_key3],ValueError: Must have equal len keys and value when setting with an iterable,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[tuple--item0-col_key4],ValueError: Must have equal len keys and value when setting with an iterable,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[tuple--item0-col_key5],ValueError: Must have equal len keys and value when setting with an iterable,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[tuple--item1-col_key1],"AssertionError: Regex pattern did not match. + Regex: 'Must have equal len keys and value when setting with an iterable' + Input: 'could not broadcast input array from shape (2,) into shape (2, 3)'",failed +tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[tuple--item1-col_key2],ValueError: Must have equal len keys and value when setting with an iterable,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[tuple--item1-col_key3],ValueError: Must have equal len keys and value when setting with an iterable,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[tuple--item1-col_key4],ValueError: Must have equal len keys and value when setting with an iterable,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[tuple--item2-col_key0],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[tuple--item2-col_key1],"AssertionError: Regex pattern did not match. + Regex: 'Must have equal len keys and value when setting with an iterable' + Input: 'could not broadcast input array from shape (4,) into shape (2, 3)'",failed +tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[tuple--item2-col_key5],ValueError: Must have equal len keys and value when setting with an iterable,failed +tests.integ.modin.frame.test_loc,test_df_loc_set_with_scalar_item[col_key4],SNOW-1321196: pandas 2.2.1 migration,xfailed +tests.integ.modin.frame.test_loc,test_df_partial_string_indexing[0],AssertionError,failed +tests.integ.modin.frame.test_loc,test_df_setitem_boolean_key[index1-False],"AssertionError: DataFrame are different -Attribute ""names"" are different -[left]: [None] -[right]: ['index']",failed -9679,tests.integ.modin.frame.test_rank,test_rank_unsupported_args_negative[top-True-dense],Failed: DID NOT RAISE ,failed -9681,tests.integ.modin.frame.test_rank,test_rank_unsupported_args_negative[top-True-first],Failed: DID NOT RAISE ,failed -9682,tests.integ.modin.frame.test_iloc,test_df_iloc_get_range_deviating_behavior[col-range_key3],IndexError: positional indexers are out-of-bounds,failed -9683,tests.integ.modin.frame.test_join,test_join_different_levels_negative,"AssertionError: Regex pattern did not match. - Regex: 'Can not merge objects with different column levels' - Input: 'Not allowed to merge between different levels. (1 levels on the left, 2 on the right)'",failed -9685,tests.integ.modin.frame.test_rank,test_rank_unsupported_args_negative[top-True-max],Failed: DID NOT RAISE ,failed -9686,tests.integ.modin.frame.test_unary_op,test_df_unary_all_pos[timedelta64[ns]-abs],TypeError: timedelta64[ns] is not a numeric data type,failed -9687,tests.integ.modin.frame.test_rank,test_rank_unsupported_args_negative[top-True-average],Failed: DID NOT RAISE ,failed -9689,tests.integ.modin.frame.test_rank,test_rank_unsupported_args_negative[top-False-min],Failed: DID NOT RAISE ,failed -9691,tests.integ.modin.frame.test_unary_op,test_df_unary_all_pos[timedelta64[ns]-neg],TypeError: timedelta64[ns] is not a numeric data type,failed -9692,tests.integ.modin.frame.test_rank,test_rank_unsupported_args_negative[top-False-dense],Failed: DID NOT RAISE ,failed -9694,tests.integ.modin.frame.test_rank,test_rank_unsupported_args_negative[top-False-first],Failed: DID NOT RAISE ,failed -9696,tests.integ.modin.frame.test_join,test_join_validate[lvalues0-rvalues0-1:1],Failed: DID NOT RAISE ,failed -9698,tests.integ.modin.frame.test_rank,test_rank_unsupported_args_negative[top-False-max],Failed: DID NOT RAISE ,failed -9699,tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_scalar[col-7],IndexError: positional indexers are out-of-bounds,failed -9702,tests.integ.modin.frame.test_rank,test_rank_unsupported_args_negative[top-False-average],Failed: DID NOT RAISE ,failed -9703,tests.integ.modin.frame.test_join,test_join_validate[lvalues1-rvalues1-1:m],Failed: DID NOT RAISE ,failed -9705,tests.integ.modin.frame.test_rank,test_rank_unsupported_args_negative[bottom-True-min],Failed: DID NOT RAISE ,failed -9707,tests.integ.modin.frame.test_join,test_join_validate[lvalues2-rvalues2-m:1],Failed: DID NOT RAISE ,failed -9708,tests.integ.modin.frame.test_rank,test_rank_unsupported_args_negative[bottom-True-dense],Failed: DID NOT RAISE ,failed -9709,tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[index--item0-col_key2],ValueError: Must have equal len keys and value when setting with an iterable,failed -9710,tests.integ.modin.frame.test_assign,test_assign_self_columns,"AssertionError: DataFrame.index are different +DataFrame shape mismatch +[left]: (4, 3) +[right]: (5, 3)",failed +tests.integ.modin.frame.test_loc,test_df_setitem_boolean_key[index2-0],"AssertionError: DataFrame are different -Attribute ""names"" are different -[left]: [None] -[right]: ['index']",failed -9712,tests.integ.modin.frame.test_rank,test_rank_unsupported_args_negative[bottom-True-first],Failed: DID NOT RAISE ,failed -9713,tests.integ.modin.frame.test_join,test_join_validate[lvalues3-rvalues3-m:m],Failed: DID NOT RAISE ,failed -9715,tests.integ.modin.frame.test_rank,test_rank_unsupported_args_negative[bottom-True-max],Failed: DID NOT RAISE ,failed -9716,tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_scalar[col-52879115],IndexError: positional indexers are out-of-bounds,failed -9718,tests.integ.modin.frame.test_rank,test_rank_unsupported_args_negative[bottom-True-average],Failed: DID NOT RAISE ,failed -9719,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_series_row_key_df_item_match_pandas[row_pos0-col_pos0-item_values0],"AssertionError: DataFrame.iloc[:, 0] (column name=""A"") are different +DataFrame shape mismatch +[left]: (4, 3) +[right]: (5, 3)",failed +tests.integ.modin.frame.test_loc,test_df_setitem_boolean_key[index3-0],ValueError: cannot reindex on an axis with duplicate labels,failed +tests.integ.modin.frame.test_loc,test_df_setitem_boolean_key[index3-False],ValueError: cannot reindex on an axis with duplicate labels,failed +tests.integ.modin.frame.test_loc,test_df_setitem_boolean_key[index4-True],"AssertionError: DataFrame are different -DataFrame.iloc[:, 0] (column name=""A"") values are different (75.0 %) -[index]: [0, 1, 2, 3] -[left]: [5.0, nan, nan, nan] -[right]: [5, 91, 92, 93]",failed -9720,tests.integ.modin.frame.test_join,test_join_validate[lvalues4-rvalues4-1:m],Failed: DID NOT RAISE ,failed -9722,tests.integ.modin.frame.test_rank,test_rank_unsupported_args_negative[bottom-False-min],Failed: DID NOT RAISE ,failed -9723,tests.integ.modin.frame.test_assign,test_overwrite_columns_via_assign,"AssertionError: DataFrame.index are different +DataFrame shape mismatch +[left]: (4, 3) +[right]: (5, 3)",failed +tests.integ.modin.frame.test_loc,test_df_setitem_boolean_key[index5-1],ValueError: cannot reindex on an axis with duplicate labels,failed +tests.integ.modin.frame.test_loc,test_df_setitem_boolean_key[index5-True],ValueError: cannot reindex on an axis with duplicate labels,failed +tests.integ.modin.frame.test_loc,test_df_setitem_boolean_key[index6-False],"AssertionError: DataFrame.iloc[:, 0] (column name=""a"") are different -Attribute ""names"" are different -[left]: [None] -[right]: ['index']",failed -9724,tests.integ.modin.frame.test_rank,test_rank_unsupported_args_negative[bottom-False-dense],Failed: DID NOT RAISE ,failed -9725,tests.integ.modin.frame.test_join,test_join_validate[lvalues5-rvalues5-m:m],Failed: DID NOT RAISE ,failed -9726,tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_scalar[col--9028751],IndexError: index -9028751 is out of bounds for axis 0 with size 7,failed -9727,tests.integ.modin.frame.test_rank,test_rank_unsupported_args_negative[bottom-False-first],Failed: DID NOT RAISE ,failed -9728,tests.integ.modin.frame.test_set_index,test_set_index_pass_arrays[False-True-frame_of_ints_and_timedelta-Index],"TypeError: The parameter ""keys"" may be a column key, one-dimensional array, or a list containing only valid column keys and one-dimensional arrays. Received column of type ",failed -9729,tests.integ.modin.frame.test_unary_op,test_df_unary_np_none_bool[True-abs],TypeError: object is not a numeric data type,failed -9731,tests.integ.modin.frame.test_join,test_join_validate[lvalues6-rvalues6-m:1],Failed: DID NOT RAISE ,failed -9732,tests.integ.modin.frame.test_rank,test_rank_unsupported_args_negative[bottom-False-max],Failed: DID NOT RAISE ,failed -9734,tests.integ.modin.frame.test_rank,test_rank_unsupported_args_negative[bottom-False-average],Failed: DID NOT RAISE ,failed -9735,tests.integ.modin.frame.test_join,test_join_validate[lvalues7-rvalues7-m:m],Failed: DID NOT RAISE ,failed -9737,tests.integ.modin.frame.test_assign,test_assign_basic_timedelta_series,"AssertionError: DataFrame.index are different +DataFrame.iloc[:, 0] (column name=""a"") values are different (33.33333 %) +[index]: [2, x, False] +[left]: [0, 1, 0] +[right]: [0, 1, 99]",failed +tests.integ.modin.frame.test_loc,test_df_setitem_boolean_key[index6-True],"AssertionError: DataFrame.iloc[:, 0] (column name=""a"") are different -Attribute ""names"" are different -[left]: [None] -[right]: ['index']",failed -9738,tests.integ.modin.frame.test_unary_op,test_df_unary_np_none_bool[True-neg],TypeError: object is not a numeric data type,failed -9739,tests.integ.modin.frame.test_set_index,test_set_index_pass_arrays[False-True-frame_of_ints_and_timedelta-array],"KeyError: ""None of ['a'] are in the columns""",failed -9741,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_series_row_key_df_item_match_pandas[row_pos1-col_pos1-item_values1],"AssertionError: DataFrame.iloc[:, 0] (column name=""A"") are different +DataFrame.iloc[:, 0] (column name=""a"") values are different (66.66667 %) +[index]: [2, x, True] +[left]: [99, 1, 0] +[right]: [0, 1, 99]",failed +tests.integ.modin.frame.test_loc,test_empty_df_loc_set_scalar,ValueError: cannot set a frame with no defined columns,failed +tests.integ.modin.frame.test_loc,test_empty_df_loc_set_series_and_list[native_item0],"AssertionError: DataFrame.index are different -DataFrame.iloc[:, 0] (column name=""A"") values are different (75.0 %) -[index]: [0, 1, 2, 3] -[left]: [5.0, nan, nan, nan] -[right]: [5, 93, 92, 91]",failed -9743,tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[index--item0-col_key3],ValueError: Must have equal len keys and value when setting with an iterable,failed -9744,tests.integ.modin.frame.test_join,test_join_validate[lvalues8-rvalues8-m:m],Failed: DID NOT RAISE ,failed -9749,tests.integ.modin.frame.test_unary_op,test_df_unary_np_none_bool[False-abs],TypeError: object is not a numeric data type,failed -9751,tests.integ.modin.frame.test_set_index,test_set_index_pass_arrays[False-True-frame_of_ints_and_timedelta-list],"KeyError: ""None of ['a'] are in the columns""",failed -9756,tests.integ.modin.frame.test_unary_op,test_df_unary_np_none_bool[False-neg],TypeError: object is not a numeric data type,failed -9758,tests.integ.modin.frame.test_iloc,test_df_iloc_get_native_pd_key_raises_type_error_negative[key0-\\ is\\ not\\ supported\\ as\\ 'value'\\ argument\\.\\ Please\\ convert\\ this\\ to\\ Snowpark\\ pandas\\ objects\\ by\\ calling\\ modin\\.pandas\\.Series\\(\\)/DataFrame\\(\\)-TypeError],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -9759,tests.integ.modin.frame.test_set_index,test_set_index_pass_arrays[False-True-frame_of_ints_and_timedelta-],"KeyError: ""None of ['a'] are in the columns""",failed -9762,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_series_row_key_df_item_match_pandas[row_pos2-col_pos2-item_values2],"AssertionError: DataFrame.iloc[:, 1] (column name=""B"") are different +DataFrame.index values are different (100.0 %) +[left]: RangeIndex(start=0, stop=3, step=1) +[right]: Index([None, None, None], dtype='object') +At positional index 0, first diff: 0 != None",failed +tests.integ.modin.frame.test_loc,test_empty_df_loc_set_series_and_list[native_item1],"AssertionError: DataFrame.index are different -DataFrame.iloc[:, 1] (column name=""B"") values are different (75.0 %) -[index]: [0, 1, 2, 3] -[left]: [nan, nan, 12.0, nan] -[right]: [95, 92, 12, 98]",failed -9765,tests.integ.modin.frame.test_iloc,test_df_iloc_get_native_pd_key_raises_type_error_negative[key1-\\ is\\ not\\ supported\\ as\\ 'value'\\ argument\\.\\ Please\\ convert\\ this\\ to\\ Snowpark\\ pandas\\ objects\\ by\\ calling\\ modin\\.pandas\\.Series\\(\\)/DataFrame\\(\\)-TypeError],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -9768,tests.integ.modin.frame.test_unary_op,test_df_unary_invalid_in_native_negative[data0-abs],TypeError: object is not a numeric data type,failed -9769,tests.integ.modin.frame.test_iloc,"test_df_iloc_get_native_pd_key_raises_type_error_negative[key2-\\.iloc\\ requires\\ numeric\\ indexers,\\ got\\ \\[Ellipsis,\\ 1\\]-IndexError]","ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -9771,tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[index--item0-col_key4],ValueError: Must have equal len keys and value when setting with an iterable,failed -9772,tests.integ.modin.frame.test_set_index,test_set_index_pass_arrays[False-False-frame_of_ints-Series],"KeyError: ""None of ['a'] are in the columns""",failed -9774,tests.integ.modin.frame.test_unary_op,test_df_unary_invalid_in_native_negative[data0-neg],TypeError: object is not a numeric data type,failed -9775,tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_raises_indexing_error_negative[key0-Too many indexers],Failed: DID NOT RAISE ,failed -9777,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_series_row_key_df_item_match_pandas[row_pos3-col_pos3-item_values3],"AssertionError: DataFrame.iloc[:, 0] (column name=""A"") are different +DataFrame.index values are different (100.0 %) +[left]: RangeIndex(start=0, stop=3, step=1) +[right]: Index([None, None, None], dtype='object') +At positional index 0, first diff: 0 != None",failed +tests.integ.modin.frame.test_loc,test_empty_df_loc_set_series_and_list[native_item3],"AssertionError: DataFrame.index are different -DataFrame.iloc[:, 0] (column name=""A"") values are different (50.0 %) -[index]: [0, 1, 2, 3] -[left]: [nan, 8.0, nan, nan] -[right]: [92.0, 8.0, 98.0, nan] -At positional index 0, first diff: nan != 92.0",failed -9778,tests.integ.modin.frame.test_unary_op,test_df_unary_invalid_in_sf_negative[data0-abs],Failed: DID NOT RAISE ,failed -9781,tests.integ.modin.frame.test_unary_op,test_df_unary_invalid_in_sf_negative[data0-neg],Failed: DID NOT RAISE ,failed -9783,tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_raises_indexing_error_negative[key2-Too many indexers],Failed: DID NOT RAISE ,failed -9784,tests.integ.modin.frame.test_unary_op,test_df_unary_invalid_in_sf_negative[data1-abs],Failed: DID NOT RAISE ,failed -9787,tests.integ.modin.frame.test_unary_op,test_df_unary_invalid_in_sf_negative[data1-neg],Failed: DID NOT RAISE ,failed -9789,tests.integ.modin.frame.test_unary_op,test_df_unary_invalid_in_sf_negative[data2-abs],Failed: DID NOT RAISE ,failed -9790,tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_raises_indexing_error_negative[key3-indexer may only contain one '...' entry],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -9792,tests.integ.modin.frame.test_unary_op,test_df_unary_invalid_in_sf_negative[data2-neg],Failed: DID NOT RAISE ,failed -9794,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_series_row_key_df_item_match_pandas[row_pos4-col_pos4-item_values4],"AssertionError: DataFrame.iloc[:, 0] (column name=""A"") are different +DataFrame.index values are different (100.0 %) +[left]: RangeIndex(start=0, stop=3, step=1) +[right]: Index(['a', 'b', 'c'], dtype='object') +At positional index 0, first diff: 0 != a",failed +tests.integ.modin.frame.test_loc,test_empty_df_loc_set_series_and_list[native_item5],"AssertionError: DataFrame.index are different -DataFrame.iloc[:, 0] (column name=""A"") values are different (75.0 %) -[index]: [0, 1, 2, 3] -[left]: [5.0, nan, nan, nan] -[right]: [5, 91, 91, 91]",failed -9795,tests.integ.modin.frame.test_join,test_join_validate_negative[lvalues0-rvalues0-1:1],pandas.errors.MergeError: Merge keys are not unique in right dataset; not a one-to-one merge,failed -9796,tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[index--item0-col_key5],ValueError: Must have equal len keys and value when setting with an iterable,failed -9799,tests.integ.modin.frame.test_iloc,test_df_iloc_get_invalid_slice_key_negative[row-key0],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -9800,tests.integ.modin.frame.test_unary_op,test_ser_unary_invalid_in_both_native_and_sf_negative[invalid_value0-Invalid argument types for function-abs],TypeError: object is not a numeric data type,failed -9802,tests.integ.modin.frame.test_astype,test_input_negative,"AssertionError: Regex pattern did not match. - Regex: 'not found in columns' - Input: ""'Only a column name can be used for the key in a dtype mappings argument.'""",failed -9804,tests.integ.modin.frame.test_iloc,test_df_iloc_get_invalid_slice_key_negative[row-key1],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -9807,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_series_row_key_df_item_match_pandas[row_pos5-col_pos5-item_values5],"AssertionError: DataFrame.iloc[:, 0] (column name=""A"") are different +DataFrame.index values are different (100.0 %) +[left]: RangeIndex(start=0, stop=4, step=1) +[right]: Index(['a', None, None, 'd'], dtype='object') +At positional index 0, first diff: 0 != a",failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_boolean_series_col_key,KeyError: False,failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_boolean_series_row_key,KeyError: False,failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_col_key[fizz1-None],AssertionError,failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_col_key[key4-None],"AssertionError: DataFrame.columns are different -DataFrame.iloc[:, 0] (column name=""A"") values are different (75.0 %) -[index]: [0, 1, 2, 3] -[left]: [5.0, nan, nan, nan] -[right]: [5, 91, 92, 93]",failed -9808,tests.integ.modin.frame.test_join,test_join_validate_negative[lvalues1-rvalues1-m:1],pandas.errors.MergeError: Merge keys are not unique in right dataset; not a many-to-one merge,failed -9809,tests.integ.modin.frame.test_iloc,test_df_iloc_get_invalid_slice_key_negative[row-key2],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -9815,tests.integ.modin.frame.test_iloc,test_df_iloc_get_invalid_slice_key_negative[col-key0],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -9817,tests.integ.modin.frame.test_join,test_join_validate_negative[lvalues2-rvalues2-1:1],pandas.errors.MergeError: Merge keys are not unique in left dataset; not a one-to-one merge,failed -9819,tests.integ.modin.frame.test_unary_op,test_ser_unary_invalid_in_both_native_and_sf_negative[invalid_value0-Invalid argument types for function-neg],TypeError: object is not a numeric data type,failed -9820,tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[index--item1-col_key1],"AssertionError: Regex pattern did not match. - Regex: 'Must have equal len keys and value when setting with an iterable' - Input: 'could not broadcast input array from shape (2,) into shape (2, 3)'",failed -9821,tests.integ.modin.frame.test_join,test_join_validate_negative[lvalues3-rvalues3-1:m],pandas.errors.MergeError: Merge keys are not unique in left dataset; not a one-to-many merge,failed -9822,tests.integ.modin.frame.test_unary_op,test_ser_unary_invalid_in_both_native_and_sf_negative[invalid_value1-Invalid argument types for function-abs],TypeError: object is not a numeric data type,failed -9823,tests.integ.modin.frame.test_set_index,test_set_index_pass_arrays[False-False-frame_of_ints-Index],"TypeError: The parameter ""keys"" may be a column key, one-dimensional array, or a list containing only valid column keys and one-dimensional arrays. Received column of type ",failed -9824,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_series_row_key_df_item_match_pandas[row_pos7-col_pos7-item_values7],"AssertionError: DataFrame.iloc[:, 1] (column name=""B"") are different +DataFrame.columns classes are different +[left]: Index(['buzz1'], dtype='object', name='buzz') +[right]: MultiIndex([('fizz1', 'buzz1')], + names=['fizz', 'buzz'])",failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_col_key[key5-None],KeyError: 'fizz2',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_col_key[key7-None],KeyError: 'buzz1',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_col_key[key8-None],KeyError: 'buzz1',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_col_key[key9-None],KeyError: 'buzz1',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_row_key[key10-AssertionError],"assert False + + where False = fizz fizz1 fizz2\nbuzz buzz1 buzz2\nmark i mark v 12 2\n mark vi 0 4.empty",failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_row_key[key4-None],"AssertionError: DataFrame.index are different -DataFrame.iloc[:, 1] (column name=""B"") values are different (75.0 %) -[index]: [0, 1, 2, 3] -[left]: [nan, nan, nan, 15.0] -[right]: [93, 91, 92, 15]",failed -9825,tests.integ.modin.frame.test_iloc,test_df_iloc_get_invalid_slice_key_negative[col-key1],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -9826,tests.integ.modin.frame.test_unary_op,test_ser_unary_invalid_in_both_native_and_sf_negative[invalid_value1-Invalid argument types for function-neg],TypeError: object is not a numeric data type,failed -9829,tests.integ.modin.frame.test_set_index,test_set_index_pass_arrays[False-False-frame_of_ints-array],"KeyError: ""None of ['a'] are in the columns""",failed -9830,tests.integ.modin.frame.test_iloc,test_df_iloc_get_invalid_slice_key_negative[col-key2],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -9832,tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[index--item1-col_key2],ValueError: Must have equal len keys and value when setting with an iterable,failed -9834,tests.integ.modin.frame.test_unary_op,test_ser_unary_invalid_in_both_native_and_sf_negative[invalid_value2-is not recognized-abs],TypeError: object is not a numeric data type,failed -9836,tests.integ.modin.frame.test_iloc,test_df_iloc_get_non_numeric_key_negative[row-None],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -9838,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_series_row_key_df_item_match_pandas[row_pos8-col_pos8-item_values8],"AssertionError: DataFrame.iloc[:, 0] (column name=""A"") are different +DataFrame.index levels are different +[left]: 1, Index(['mark v', 'mark vi'], dtype='object') +[right]: 2, MultiIndex([('mark i', 'mark v'), + ('mark i', 'mark vi')], + )",failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_row_key[key5-None],"KeyError: ['viper', 'mark i', 'viper']",failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_row_key[key6-KeyError],KeyError: 'invalid',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_row_key[key7-None],KeyError: 'mark vi',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_row_key[key8-None],KeyError: 'mark vi',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_row_key[key9-None],KeyError: 'mark vi',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_row_key[mark ii-KeyError],KeyError: np.str_('mark ii'),failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col1-mark i],AssertionError,failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col1-row10],AssertionError,failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col1-row11],AssertionError,failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col1-row12],AssertionError: Got type: ,failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col1-row13],AssertionError: Got type: ,failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col1-row14],AssertionError,failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col1-row1],AssertionError,failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col1-row2],AssertionError: Got type: ,failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col1-row3],"AssertionError: DataFrame.index are different -DataFrame.iloc[:, 0] (column name=""A"") values are different (75.0 %) -[index]: [0, 1, 2, 3] -[left]: [5.0, nan, nan, nan] -[right]: [5, 93, 93, 93]",failed -9840,tests.integ.modin.frame.test_unary_op,test_ser_unary_invalid_in_both_native_and_sf_negative[invalid_value2-is not recognized-neg],TypeError: object is not a numeric data type,failed -9841,tests.integ.modin.frame.test_iloc,test_df_iloc_get_non_numeric_key_negative[row-True],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -9845,tests.integ.modin.frame.test_iloc,test_df_iloc_get_non_numeric_key_negative[row-False],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -9846,tests.integ.modin.frame.test_unary_op,test_ser_unary_invalid_in_both_native_and_sf_negative[invalid_value3- Numeric value 'bad_str' is not recognized-abs],TypeError: object is not a numeric data type,failed -9847,tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[index--item1-col_key3],ValueError: Must have equal len keys and value when setting with an iterable,failed -9848,tests.integ.modin.frame.test_join,test_join_validate_negative[lvalues4-rvalues4-1:1],pandas.errors.MergeError: Merge keys are not unique in either left or right dataset; not a one-to-one merge,failed -9852,tests.integ.modin.frame.test_iloc,test_df_iloc_get_non_numeric_key_negative[row--3.14],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -9853,tests.integ.modin.frame.test_unary_op,test_ser_unary_invalid_in_both_native_and_sf_negative[invalid_value3- Numeric value 'bad_str' is not recognized-neg],TypeError: object is not a numeric data type,failed -9855,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_series_row_key_df_item_match_pandas[row_pos9-col_pos9-item_values9],"AssertionError: DataFrame.iloc[:, 1] (column name=""B"") are different +DataFrame.index levels are different +[left]: 1, Index(['mark v', 'mark vi'], dtype='object') +[right]: 2, MultiIndex([('mark i', 'mark v'), + ('mark i', 'mark vi')], + )",failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col1-row4],"KeyError: ['viper', 'mark i', 'viper']",failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col1-row5],KeyError: 'mark vi',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col1-row6],KeyError: 'mark vi',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col1-row7],KeyError: 'mark vi',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col1-row8],KeyError: 'mark vi',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col1-row9],AssertionError,failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col10-mark i],AssertionError,failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col10-row10],AssertionError,failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col10-row11],AssertionError,failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col10-row12],AssertionError: Got type: ,failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col10-row13],AssertionError: Got type: ,failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col10-row14],AssertionError,failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col10-row1],AssertionError,failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col10-row2],AssertionError: Got type: ,failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col10-row3],AssertionError,failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col10-row4],"KeyError: ['viper', 'mark i', 'viper']",failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col10-row5],KeyError: 'mark vi',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col10-row6],KeyError: 'mark vi',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col10-row7],KeyError: 'mark vi',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col10-row8],KeyError: 'mark vi',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col10-row9],AssertionError,failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col11-mark i],"AssertionError: DataFrame.index are different -DataFrame.iloc[:, 1] (column name=""B"") values are different (75.0 %) -[index]: [0, 1, 2, 3] -[left]: [6.0, nan, nan, nan] -[right]: [6, 91, 92, 93]",failed -9859,tests.integ.modin.frame.test_iloc,test_df_iloc_get_non_numeric_key_negative[row-3.142857142857143],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -9860,tests.integ.modin.frame.test_set_index,test_set_index_pass_arrays[False-False-frame_of_ints-list],"KeyError: ""None of ['a'] are in the columns""",failed -9862,tests.integ.modin.frame.test_join,test_join_validate_negative[lvalues5-rvalues5-1:m],pandas.errors.MergeError: Merge keys are not unique in left dataset; not a one-to-many merge,failed -9864,tests.integ.modin.frame.test_iloc,test_df_iloc_get_non_numeric_key_negative[row-nan],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -9866,tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[index--item1-col_key4],ValueError: Must have equal len keys and value when setting with an iterable,failed -9868,tests.integ.modin.frame.test_set_index,test_set_index_pass_arrays[False-False-frame_of_ints-],"KeyError: ""None of ['a'] are in the columns""",failed -9869,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_series_row_key_df_item_match_pandas[row_pos10-col_pos10-item_values10],"AssertionError: DataFrame.iloc[:, 1] (column name=""B"") are different +DataFrame.index levels are different +[left]: 2, MultiIndex([('mark i', 'mark v'), + ('mark i', 'mark vi')], + ) +[right]: 1, Index(['mark v', 'mark vi'], dtype='object')",failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col11-row12],AssertionError,failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col11-row13],AssertionError,failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col11-row1],"AssertionError: DataFrame.index are different -DataFrame.iloc[:, 1] (column name=""B"") values are different (50.0 %) -[index]: [0, 1, 2, 3] -[left]: [6.0, nan, nan, 15.0] -[right]: [6, 91, 93, 15]",failed -9871,tests.integ.modin.frame.test_iloc,test_df_iloc_get_non_numeric_key_negative[row-key6],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -9875,tests.integ.modin.frame.test_join,test_join_validate_negative[lvalues6-rvalues6-m:1],pandas.errors.MergeError: Merge keys are not unique in right dataset; not a many-to-one merge,failed -9878,tests.integ.modin.frame.test_set_index,test_set_index_pass_arrays[False-False-frame_of_ints_and_timedelta-Series],"KeyError: ""None of ['a'] are in the columns""",failed -9880,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_series_row_key_df_item_match_pandas[row_pos11-col_pos11-item_values11],"AssertionError: DataFrame.iloc[:, 1] (column name=""B"") are different +DataFrame.index levels are different +[left]: 2, MultiIndex([('mark i', 'mark v'), + ('mark i', 'mark vi')], + ) +[right]: 1, Index(['mark v', 'mark vi'], dtype='object')",failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col11-row4],"KeyError: ['viper', 'mark i', 'viper']",failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col11-row5],KeyError: 'mark vi',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col11-row6],KeyError: 'mark vi',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col11-row7],KeyError: 'mark vi',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col11-row8],KeyError: 'mark vi',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col11-row9],"AssertionError: DataFrame are different -DataFrame.iloc[:, 1] (column name=""B"") values are different (50.0 %) -[index]: [0, 1, 2, 3] -[left]: [nan, 9.0, nan, 15.0] -[right]: [94, 9, 92, 15]",failed -9890,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_series_row_key_df_item_match_pandas[row_pos12-col_pos12-item_values12],"AssertionError: DataFrame.iloc[:, 2] (column name=""C"") are different +DataFrame shape mismatch +[left]: (0, 2) +[right]: (6, 2)",failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col12-mark i],AssertionError,failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col12-row10],AssertionError,failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col12-row11],AssertionError,failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col12-row12],AssertionError: Got type: ,failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col12-row13],AssertionError: Got type: ,failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col12-row14],AssertionError,failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col12-row1],AssertionError,failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col12-row2],AssertionError: Got type: ,failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col12-row3],AssertionError,failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col12-row4],"KeyError: ['viper', 'mark i', 'viper']",failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col12-row5],KeyError: 'mark vi',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col12-row6],KeyError: 'mark vi',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col12-row7],KeyError: 'mark vi',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col12-row8],KeyError: 'mark vi',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col12-row9],AssertionError,failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col13-mark i],AssertionError,failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col13-row10],AssertionError,failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col13-row11],AssertionError,failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col13-row12],AssertionError: Got type: ,failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col13-row13],AssertionError: Got type: ,failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col13-row14],AssertionError,failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col13-row1],AssertionError,failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col13-row2],AssertionError: Got type: ,failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col13-row3],AssertionError,failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col13-row4],"KeyError: ['viper', 'mark i', 'viper']",failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col13-row5],KeyError: 'mark vi',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col13-row6],KeyError: 'mark vi',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col13-row7],KeyError: 'mark vi',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col13-row8],KeyError: 'mark vi',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col13-row9],AssertionError,failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col2-mark i],"AssertionError: Series.index are different -DataFrame.iloc[:, 2] (column name=""C"") values are different (100.0 %) -[index]: [0, 1, 2, 3] -[left]: [nan, nan, nan, nan] -[right]: [93, 91, 92, 94]",failed -9891,tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[index--item2-col_key0],Failed: DID NOT RAISE ,failed -9902,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_series_row_key_df_item_match_pandas[row_pos13-col_pos13-item_values13],"AssertionError: DataFrame.iloc[:, 1] (column name=""B"") are different +Series.index levels are different +[left]: 2, MultiIndex([('mark i', 'mark v'), + ('mark i', 'mark vi')], + ) +[right]: 1, Index(['mark v', 'mark vi'], dtype='object')",failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col2-row12],AssertionError: Got type: ,failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col2-row13],AssertionError: Got type: ,failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col2-row1],"AssertionError: Series.index are different -DataFrame.iloc[:, 1] (column name=""B"") values are different (50.0 %) -[index]: [0, 1, 2, 3] -[left]: [6.0, nan, nan, 15.0] -[right]: [6, 99, 101, 15]",failed -9907,tests.integ.modin.frame.test_unstack,test_unstack_input_no_multiindex[timedelta64[ns]-index_names0],[XPASS(strict)] ,failed -9908,tests.integ.modin.frame.test_unstack,test_unstack_input_no_multiindex[timedelta64[ns]-index_names1],[XPASS(strict)] ,failed -9911,tests.integ.modin.frame.test_unstack,test_unstack_input_no_multiindex[timedelta64[ns]-index_names2],[XPASS(strict)] ,failed -9912,tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[index--item2-col_key1],"AssertionError: Regex pattern did not match. - Regex: 'Must have equal len keys and value when setting with an iterable' - Input: 'could not broadcast input array from shape (4,) into shape (2, 3)'",failed -9914,tests.integ.modin.frame.test_unstack,test_unstack_input_no_multiindex[timedelta64[ns]-index_names3],[XPASS(strict)] ,failed -9919,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_series_row_key_df_item_match_pandas[row_pos14-col_pos14-item_values14],"AssertionError: DataFrame.iloc[:, 1] (column name=""B"") are different +Series.index levels are different +[left]: 2, MultiIndex([('mark i', 'mark v'), + ('mark i', 'mark vi')], + ) +[right]: 1, Index(['mark v', 'mark vi'], dtype='object')",failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col2-row4],"KeyError: ['viper', 'mark i', 'viper']",failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col2-row5],KeyError: 'mark vi',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col2-row6],KeyError: 'mark vi',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col2-row7],KeyError: 'mark vi',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col2-row8],KeyError: 'mark vi',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col2-row9],"AssertionError: Series are different -DataFrame.iloc[:, 1] (column name=""B"") values are different (50.0 %) -[index]: [0, 1, 2, 3] -[left]: [6.0, nan, nan, 15.0] -[right]: [6, 99, 101, 15]",failed -9928,tests.integ.modin.frame.test_unstack,test_unstack_sort_notimplemented,Failed: DID NOT RAISE ,failed -9930,tests.integ.modin.frame.test_unstack,test_unstack_non_integer_level_notimplemented,Failed: DID NOT RAISE ,failed -9932,tests.integ.modin.frame.test_iloc,test_df_iloc_set_with_series_row_key_df_item_match_pandas[row_pos15-col_pos15-item_values15],"AssertionError: DataFrame.iloc[:, 0] (column name=""A"") are different +Series length are different +[left]: 0, MultiIndex([], ) +[right]: 6, MultiIndex([( 'mark i', 'mark v'), + ( 'mark i', 'mark vi'), + ('sidewinder', 'mark i'), + ('sidewinder', 'mark ii'), + ( 'viper', 'mark ii'), + ( 'viper', 'mark iii')], + )",failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col3-mark i],"AssertionError: DataFrame.columns are different -DataFrame.iloc[:, 0] (column name=""A"") values are different (25.0 %) -[index]: [0, 1, 2, 3] -[left]: [5.0, nan, 11.0, 14.0] -[right]: [5, 99, 11, 14]",failed -9946,tests.integ.modin.frame.test_astype,test_astype_from_timestamp_ltz[uint64],"TypeError: Converting from datetime64[ns, America/Los_Angeles] to uint64 is not supported. Do obj.astype('int64').astype(dtype) instead",failed -9951,tests.integ.modin.frame.test_iloc,test_df_iloc_get_non_numeric_key_negative[row-key7],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -9956,tests.integ.modin.frame.test_set_index,test_set_index_pass_arrays[False-False-frame_of_ints_and_timedelta-Index],"TypeError: The parameter ""keys"" may be a column key, one-dimensional array, or a list containing only valid column keys and one-dimensional arrays. Received column of type ",failed -9962,tests.integ.modin.frame.test_set_index,test_set_index_pass_arrays[False-False-frame_of_ints_and_timedelta-array],"KeyError: ""None of ['a'] are in the columns""",failed -9969,tests.integ.modin.frame.test_set_index,test_set_index_pass_arrays[False-False-frame_of_ints_and_timedelta-list],"KeyError: ""None of ['a'] are in the columns""",failed -9974,tests.integ.modin.frame.test_loc,test_df_loc_set_with_row_wise_list_like_item[index--item2-col_key5],ValueError: Must have equal len keys and value when setting with an iterable,failed -9982,tests.integ.modin.frame.test_set_index,test_set_index_pass_arrays[False-False-frame_of_ints_and_timedelta-],"KeyError: ""None of ['a'] are in the columns""",failed -10057,tests.integ.modin.frame.test_iloc,test_df_iloc_get_non_numeric_key_negative[row-key8],Failed: DID NOT RAISE ,failed -10086,tests.integ.modin.frame.test_loc,test_df_loc_set_number_of_cols_mismatch_negative,Failed: DID NOT RAISE ,failed -10087,tests.integ.modin.test_from_pandas_to_pandas,test_type_mismatch_index_type[bool-object],AssertionError: Expected bool saw object,failed -10089,tests.integ.modin.frame.test_loc,test_df_loc_set_duplicate_index[duplicate-self_index_val1-index0-x-item0],ValueError: Length of values (2) does not match length of index (4),failed -10094,tests.integ.modin.test_from_pandas_to_pandas,test_type_mismatch_index_type[string-python],AssertionError: Expected object saw string,failed -10099,tests.integ.modin.frame.test_astype,test_astype_from_timestamp_ltz[int32],"TypeError: Converting from datetime64[ns, America/Los_Angeles] to int32 is not supported. Do obj.astype('int64').astype(dtype) instead",failed -10100,tests.integ.modin.test_from_pandas_to_pandas,test_type_mismatch_index_type[nullable_int],AssertionError: Expected float64 saw Int64,failed -10105,tests.integ.modin.frame.test_loc,test_df_loc_set_with_non_matching_1d_scalar_key[data0-None-columns0-A-7],Failed: DID NOT RAISE ,failed -10107,tests.integ.modin.test_from_pandas_to_pandas,test_type_mismatch_index_type[nullable_uint],AssertionError: Expected float64 saw UInt16,failed -10113,tests.integ.modin.test_from_pandas_to_pandas,test_type_mismatch_index_type[nullable_float],AssertionError: Expected float64 saw Float32,failed -10118,tests.integ.modin.frame.test_loc,test_df_loc_set_duplicate_index[duplicate-self_index_val1-index1-y-item1],ValueError: Length of values (2) does not match length of index (4),failed -10121,tests.integ.modin.test_from_pandas_to_pandas,test_type_mismatch_index_type[nullable_bool],AssertionError: Expected bool saw boolean,failed -10126,tests.integ.modin.test_from_pandas_to_pandas,test_type_mismatch_index_type[uint],AssertionError: Expected int16 saw uint64,failed -10131,tests.integ.modin.test_from_pandas_to_pandas,test_type_mismatch_index_type[num_int32],AssertionError: Expected int16 saw int32,failed -10136,tests.integ.modin.frame.test_loc,test_df_loc_set_with_non_matching_1d_scalar_key[data1-None-columns1-A-7],Failed: DID NOT RAISE ,failed -10137,tests.integ.modin.test_from_pandas_to_pandas,test_type_mismatch_index_type[num_uint64],AssertionError: Expected int16 saw uint64,failed -10144,tests.integ.modin.test_from_pandas_to_pandas,test_type_mismatch_index_type[num_uint32],AssertionError: Expected int16 saw uint32,failed -10150,tests.integ.modin.test_from_pandas_to_pandas,test_type_mismatch_index_type[num_uint16],AssertionError: Expected int16 saw uint16,failed -10156,tests.integ.modin.test_from_pandas_to_pandas,test_type_mismatch_index_type[num_uint8],AssertionError: Expected int16 saw uint8,failed -10162,tests.integ.modin.test_from_pandas_to_pandas,test_type_mismatch_index_type[num_float32],AssertionError: Expected float64 saw float32,failed -10169,tests.integ.modin.frame.test_loc,test_df_loc_set_duplicate_index[duplicate-self_index_val1-index2-x-item2],ValueError: cannot reindex on an axis with duplicate labels,failed -10170,tests.integ.modin.test_from_pandas_to_pandas,test_value_type_mismatch_index_type[categorical],"Failed: DID NOT RAISE (, )",failed -10174,tests.integ.modin.test_from_pandas_to_pandas,test_value_type_mismatch_index_type[interval],"Failed: DID NOT RAISE (, )",failed -10176,tests.integ.modin.test_from_pandas_to_pandas,test_value_type_mismatch_index_type[complex64],"Failed: DID NOT RAISE (, )",failed -10177,tests.integ.modin.frame.test_loc,test_df_loc_set_with_non_matching_1d_scalar_key[None-index3-columns3-5-0],Failed: DID NOT RAISE ,failed -10179,tests.integ.modin.test_from_pandas_to_pandas,test_value_type_mismatch_index_type[complex128],"Failed: DID NOT RAISE (, )",failed -10183,tests.integ.modin.test_from_pandas_to_pandas,test_value_type_mismatch_index_type[period],"Failed: DID NOT RAISE (, )",failed -10184,tests.integ.modin.frame.test_loc,test_df_loc_set_with_non_matching_1d_scalar_key[None-index3-columns3--2-20],Failed: DID NOT RAISE ,failed -10189,tests.integ.modin.test_from_pandas_to_pandas,test_value_type_mismatch_index_type[datetime],"Failed: DID NOT RAISE (, )",failed -10192,tests.integ.modin.test_from_pandas_to_pandas,test_value_type_mismatch_index_type[datetime-tz],"Failed: DID NOT RAISE (, )",failed -10196,tests.integ.modin.test_from_pandas_to_pandas,test_value_type_mismatch_index_type[timedelta],"Failed: DID NOT RAISE (, )",failed -10205,tests.integ.modin.frame.test_iloc,test_df_iloc_get_non_numeric_key_negative[row-key9],Failed: DID NOT RAISE ,failed -10217,tests.integ.modin.frame.test_iloc,test_df_iloc_get_non_numeric_key_negative[row-string],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -10225,tests.integ.modin.frame.test_iloc,test_df_iloc_get_non_numeric_key_negative[row-test],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -10227,tests.integ.modin.frame.test_loc,test_df_loc_set_row_col_with_non_matching_scalar_key[native_df0-5-A-0],KeyError: array([5]),failed -10238,tests.integ.modin.frame.test_loc,test_df_loc_set_row_col_with_non_matching_scalar_key[native_df0--2-B-20],KeyError: array([-2]),failed -10242,tests.integ.modin.groupby.test_groupby_basic_agg,test_groupby_agg_on_groupby_columns_named_agg[False-False-by1],"AssertionError: DataFrame are different +DataFrame.columns classes are different +[left]: Index(['buzz1'], dtype='object', name='buzz') +[right]: MultiIndex([('fizz1', 'buzz1')], + names=['fizz', 'buzz'])",failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col3-row12],AssertionError,failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col3-row13],AssertionError,failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col3-row14],"AssertionError: DataFrame.columns are different -DataFrame shape mismatch -[left]: (6, 4) -[right]: (6, 6)",failed -10246,tests.integ.modin.frame.test_set_index,test_set_index_pass_arrays_duplicate[True-True-frame_of_ints-Index-Index],"TypeError: The parameter ""keys"" may be a column key, one-dimensional array, or a list containing only valid column keys and one-dimensional arrays. Received column of type ",failed -10251,tests.integ.modin.frame.test_loc,test_df_loc_set_row_col_with_non_matching_scalar_key[native_df0-A-C-7],"KeyError: array(['A'], dtype=',failed -10474,tests.integ.modin.frame.test_astype,test_astype_from_timestamp_ltz[int16],"TypeError: Converting from datetime64[ns, America/Los_Angeles] to int16 is not supported. Do obj.astype('int64').astype(dtype) instead",failed -10502,tests.integ.modin.frame.test_iloc,test_df_iloc_get_non_numeric_key_negative[col-key7],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -10509,tests.integ.modin.test_from_pandas_to_pandas,test_from_to_pandas_datetime64_support,AssertionError,failed -10514,tests.integ.modin.test_from_pandas_to_pandas,test_rw_datetimeindex,"AssertionError: Series are different +DataFrame.columns classes are different +[left]: Index(['buzz1'], dtype='object', name='buzz') +[right]: MultiIndex([('fizz1', 'buzz1')], + names=['fizz', 'buzz'])",failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col3-row1],"AssertionError: DataFrame.columns are different -Series values are different (50.0 %) -[index]: [ntz, tz] -[left]: [datetime64[ns], datetime64[ns, US/Pacific]] -[right]: [datetime64[ns], datetime64[ns, UTC-08:00]] -At positional index 1, first diff: datetime64[ns, US/Pacific] != datetime64[ns, UTC-08:00]",failed -10520,tests.integ.modin.test_from_pandas_to_pandas,test_from_to_pandas_datetime64_timezone_support,"AssertionError: Attributes of DataFrame.iloc[:, 1] (column name=""pacific"") are different +DataFrame.columns classes are different +[left]: Index(['buzz1'], dtype='object', name='buzz') +[right]: MultiIndex([('fizz1', 'buzz1')], + names=['fizz', 'buzz'])",failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col3-row3],"AssertionError: DataFrame.index are different -Attribute ""dtype"" are different -[left]: datetime64[ns, US/Pacific] -[right]: datetime64[ns, UTC-08:00]",failed -10535,tests.integ.modin.groupby.test_groupby_basic_agg,test_groupby_dropna_multi_index[False-group_index1-expected_index_dropna_false1],"AssertionError: DataFrame.index are different +DataFrame.index levels are different +[left]: 1, Index(['mark v', 'mark vi'], dtype='object') +[right]: 2, MultiIndex([('mark i', 'mark v'), + ('mark i', 'mark vi')], + )",failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col3-row4],"KeyError: ['viper', 'mark i', 'viper']",failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col3-row5],KeyError: 'mark vi',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col3-row6],KeyError: 'mark vi',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col3-row7],KeyError: 'mark vi',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col3-row8],KeyError: 'mark vi',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col3-row9],"AssertionError: DataFrame are different -Attribute ""inferred_type"" are different -[left]: mixed -[right]: string",failed -10540,tests.integ.modin.groupby.test_groupby_basic_agg,test_groupby_dropna_multi_index[False-group_index2-expected_index_dropna_false2],"AssertionError: DataFrame.index are different +DataFrame shape mismatch +[left]: (0, 1) +[right]: (6, 1)",failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col4-mark i],KeyError: 'fizz2',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col4-row10],KeyError: 'fizz2',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col4-row11],KeyError: 'fizz2',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col4-row12],KeyError: 'fizz2',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col4-row13],KeyError: 'fizz2',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col4-row14],KeyError: 'fizz2',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col4-row1],KeyError: 'fizz2',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col4-row2],KeyError: 'fizz2',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col4-row3],KeyError: 'fizz2',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col4-row4],"KeyError: ['viper', 'mark i', 'viper']",failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col4-row5],KeyError: 'mark vi',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col4-row6],KeyError: 'mark vi',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col4-row7],KeyError: 'mark vi',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col4-row8],KeyError: 'mark vi',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col4-row9],KeyError: 'fizz2',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col5-mark i],KeyError: 'buzz1',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col5-row10],KeyError: 'buzz1',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col5-row11],KeyError: 'buzz1',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col5-row12],KeyError: 'buzz1',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col5-row13],KeyError: 'buzz1',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col5-row14],KeyError: 'buzz1',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col5-row1],KeyError: 'buzz1',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col5-row2],KeyError: 'buzz1',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col5-row3],KeyError: 'buzz1',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col5-row4],"KeyError: ['viper', 'mark i', 'viper']",failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col5-row5],KeyError: 'mark vi',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col5-row6],KeyError: 'mark vi',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col5-row7],KeyError: 'mark vi',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col5-row8],KeyError: 'mark vi',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col5-row9],KeyError: 'buzz1',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col6-mark i],KeyError: 'buzz1',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col6-row10],KeyError: 'buzz1',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col6-row11],KeyError: 'buzz1',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col6-row12],KeyError: 'buzz1',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col6-row13],KeyError: 'buzz1',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col6-row14],KeyError: 'buzz1',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col6-row1],KeyError: 'buzz1',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col6-row2],KeyError: 'buzz1',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col6-row3],KeyError: 'buzz1',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col6-row4],"KeyError: ['viper', 'mark i', 'viper']",failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col6-row5],KeyError: 'mark vi',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col6-row6],KeyError: 'mark vi',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col6-row7],KeyError: 'mark vi',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col6-row8],KeyError: 'mark vi',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col6-row9],KeyError: 'buzz1',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col7-mark i],KeyError: 'buzz1',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col7-row10],KeyError: 'buzz1',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col7-row11],KeyError: 'buzz1',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col7-row12],KeyError: 'buzz1',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col7-row13],KeyError: 'buzz1',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col7-row14],KeyError: 'buzz1',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col7-row1],KeyError: 'buzz1',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col7-row2],KeyError: 'buzz1',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col7-row3],KeyError: 'buzz1',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col7-row4],"KeyError: ['viper', 'mark i', 'viper']",failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col7-row5],KeyError: 'mark vi',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col7-row6],KeyError: 'mark vi',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col7-row7],KeyError: 'mark vi',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col7-row8],KeyError: 'mark vi',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col7-row9],KeyError: 'buzz1',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col8-mark i],KeyError: 'buzz1',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col8-row10],KeyError: 'buzz1',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col8-row11],KeyError: 'buzz1',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col8-row12],KeyError: 'buzz1',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col8-row13],KeyError: 'buzz1',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col8-row14],KeyError: 'buzz1',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col8-row1],KeyError: 'buzz1',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col8-row2],KeyError: 'buzz1',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col8-row3],KeyError: 'buzz1',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col8-row4],"KeyError: ['viper', 'mark i', 'viper']",failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col8-row5],KeyError: 'mark vi',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col8-row6],KeyError: 'mark vi',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col8-row7],KeyError: 'mark vi',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col8-row8],KeyError: 'mark vi',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col8-row9],KeyError: 'buzz1',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col9-mark i],"AssertionError: DataFrame are different -Attribute ""inferred_type"" are different -[left]: mixed -[right]: string",failed -10541,tests.integ.modin.frame.test_loc,test_df_loc_get_key_bool_series_with_unaligned_and_duplicate_indices,"AssertionError: DataFrame are different +DataFrame shape mismatch +[left]: (2, 0) +[right]: (2, 2)",failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col9-row10],"AssertionError: DataFrame are different DataFrame shape mismatch -[left]: (5, 2) -[right]: (9, 2)",failed -10546,tests.integ.modin.groupby.test_groupby_basic_agg,test_groupby_dropna_multi_index[False-group_index3-expected_index_dropna_false3],"AssertionError: DataFrame.index are different +[left]: (2, 0) +[right]: (2, 2)",failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col9-row11],"AssertionError: DataFrame are different -Attribute ""inferred_type"" are different -[left]: mixed -[right]: string",failed -10553,tests.integ.modin.groupby.test_groupby_basic_agg,test_groupby_dropna_multi_index[False-group_index4-expected_index_dropna_false4],"AssertionError: MultiIndex level [0] are different +DataFrame shape mismatch +[left]: (6, 0) +[right]: (6, 2)",failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col9-row12],AssertionError,failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col9-row13],AssertionError,failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col9-row14],"AssertionError: DataFrame are different -Attribute ""dtype"" are different -[left]: float64 -[right]: object",failed -10554,tests.integ.modin.frame.test_loc,test_df_loc_set_scalar_indexer_2d_array_negative,Failed: DID NOT RAISE ,failed -10562,tests.integ.modin.frame.test_loc,test_df_loc_set_item_2d_array_scalar_row_loc_negative,Failed: DID NOT RAISE ,failed -10566,tests.integ.modin.frame.test_loc,test_df_loc_get_key_bool_series_with_mismatch_index_len[True-key0],pandas.errors.IndexingError: Unalignable boolean Series provided as indexer (index of the boolean Series and of the indexed object do not match).,failed -10576,tests.integ.modin.frame.test_loc,test_df_loc_set_item_2d_array_row_length_no_match,"ValueError: could not broadcast input array from shape (3, 4) into shape (2, 4)",failed -10583,tests.integ.modin.frame.test_loc,test_df_loc_set_item_2d_array_col_length_no_match,"AssertionError: Regex pattern did not match. - Regex: 'shape mismatch: the number of columns 3 from the item does not match with the number of columns 4 to set' - Input: 'could not broadcast input array from shape (3, 3) into shape (2, 4)'",failed -10593,tests.integ.modin.frame.test_loc,test_df_loc_get_key_bool_series_with_mismatch_index_len[True-key1],pandas.errors.IndexingError: Unalignable boolean Series provided as indexer (index of the boolean Series and of the indexed object do not match).,failed -10599,tests.integ.modin.frame.test_loc,test_df_loc_set_2d_array_with_ffill_na_values_negative,"ValueError: could not broadcast input array from shape (2, 4) into shape (4, 4)",failed -10611,tests.integ.modin.frame.test_loc,test_df_loc_set_with_empty_key_and_empty_item_negative[item0-key1],Failed: DID NOT RAISE ,failed -10616,tests.integ.modin.frame.test_iloc,test_df_iloc_get_non_numeric_key_negative[col-key8],Failed: DID NOT RAISE ,failed -10619,tests.integ.modin.frame.test_loc,test_df_loc_set_with_empty_key_and_empty_item_negative[item0-key2],Failed: DID NOT RAISE ,failed -10623,tests.integ.modin.frame.test_loc,test_df_loc_get_key_bool_series_with_mismatch_index_len[False-key0],pandas.errors.IndexingError: Unalignable boolean Series provided as indexer (index of the boolean Series and of the indexed object do not match).,failed -10628,tests.integ.modin.frame.test_loc,test_df_loc_set_with_empty_key_and_empty_item_negative[item0-key3],Failed: DID NOT RAISE ,failed -10630,tests.integ.modin.frame.test_loc,test_df_loc_get_col_time_df[key0],"TypeError: Cannot interpret 'datetime64[ns, UTC]' as a data type",failed -10635,tests.integ.modin.frame.test_astype,test_astype_from_timestamp_ltz[uint16],"TypeError: Converting from datetime64[ns, America/Los_Angeles] to uint16 is not supported. Do obj.astype('int64').astype(dtype) instead",failed -10638,tests.integ.modin.frame.test_loc,test_df_loc_set_with_empty_key_and_empty_item_negative[item1-key1],Failed: DID NOT RAISE ,failed -10642,tests.integ.modin.frame.test_loc,test_df_loc_get_col_time_df[key1],"TypeError: Cannot interpret 'datetime64[ns, UTC]' as a data type",failed -10646,tests.integ.modin.frame.test_loc,test_df_loc_set_with_empty_key_and_empty_item_negative[item1-key2],Failed: DID NOT RAISE ,failed -10654,tests.integ.modin.frame.test_loc,test_df_loc_set_with_empty_key_and_empty_item_negative[item1-key3],Failed: DID NOT RAISE ,failed -10663,tests.integ.modin.frame.test_loc,test_df_loc_get_key_bool_series_with_mismatch_index_len[False-key1],pandas.errors.IndexingError: Unalignable boolean Series provided as indexer (index of the boolean Series and of the indexed object do not match).,failed -10664,tests.integ.modin.frame.test_loc,test_df_loc_set_with_empty_key_and_empty_item_negative[item2-key1],Failed: DID NOT RAISE ,failed -10682,tests.integ.modin.frame.test_loc,test_df_loc_get_key_bool_series_with_1k_shape[key0],pandas.errors.IndexingError: Unalignable boolean Series provided as indexer (index of the boolean Series and of the indexed object do not match).,failed -10683,tests.integ.modin.frame.test_loc,test_df_loc_get_col_snowpark_pandas_input[series[bool]_col],"AssertionError: DataFrame.columns are different +DataFrame shape mismatch +[left]: (6, 0) +[right]: (6, 2)",failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col9-row1],"AssertionError: DataFrame are different -DataFrame.columns values are different (20.0 %) -[left]: Index(['A', 'B', 'C', 'F', 'A'], dtype='object') -[right]: Index(['A', 'B', 'C', 'E', 'A'], dtype='object') -At positional index 3, first diff: F != E",failed -10689,tests.integ.modin.frame.test_loc,test_df_loc_set_with_empty_key_and_empty_item_negative[item2-key2],Failed: DID NOT RAISE ,failed -10694,tests.integ.modin.frame.test_iloc,test_df_iloc_get_non_numeric_key_negative[col-key9],Failed: DID NOT RAISE ,failed -10697,tests.integ.modin.frame.test_set_index,test_set_index_pass_arrays_duplicate[True-True-frame_of_ints_and_timedelta-Index-Index],"TypeError: The parameter ""keys"" may be a column key, one-dimensional array, or a list containing only valid column keys and one-dimensional arrays. Received column of type ",failed -10698,tests.integ.modin.frame.test_loc,test_df_loc_set_with_empty_key_and_empty_item_negative[item2-key3],Failed: DID NOT RAISE ,failed -10699,tests.integ.modin.frame.test_iloc,test_df_iloc_get_non_numeric_key_negative[col-string],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -10700,tests.integ.modin.frame.test_loc,test_df_loc_get_key_bool_series_with_1k_shape[key1],pandas.errors.IndexingError: Unalignable boolean Series provided as indexer (index of the boolean Series and of the indexed object do not match).,failed -10708,tests.integ.modin.frame.test_iloc,test_df_iloc_get_non_numeric_key_negative[col-test],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -10712,tests.integ.modin.frame.test_loc,test_df_loc_set_with_empty_key_and_empty_item_negative[item3-key1],Failed: DID NOT RAISE ,failed -10716,tests.integ.modin.frame.test_iloc,test_df_iloc_get_non_numeric_key_negative[col-key12],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -10718,tests.integ.modin.frame.test_astype,test_astype_from_timestamp_ltz[int8],"TypeError: Converting from datetime64[ns, America/Los_Angeles] to int8 is not supported. Do obj.astype('int64').astype(dtype) instead",failed -10721,tests.integ.modin.frame.test_loc,test_df_loc_set_with_empty_key_and_empty_item_negative[item3-key2],Failed: DID NOT RAISE ,failed -10731,tests.integ.modin.frame.test_loc,test_df_loc_set_with_empty_key_and_empty_item_negative[item3-key3],Failed: DID NOT RAISE ,failed -10749,tests.integ.modin.frame.test_loc,test_series_loc_set_with_empty_key_and_scalar_item[key0],"KeyError: ""None of [[]] are in the [Index([0, 1, 2], dtype='int64')]""",failed -10752,tests.integ.modin.frame.test_iloc,test_df_iloc_get_non_numeric_key_negative[col-key13],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -10759,tests.integ.modin.frame.test_loc,test_series_loc_set_with_empty_key_and_scalar_item[key1],Failed: DID NOT RAISE ,failed -10766,tests.integ.modin.frame.test_iloc,test_df_iloc_get_non_numeric_key_categorical_negative,"AssertionError: Regex pattern did not match. - Regex: '\\.iloc\\ requires\\ numeric\\ indexers,\\ got\\ \\[1,\\ 3,\\ 5\\]\\\nCategories\\ \\(3,\\ int64\\):\\ \\[1,\\ 3,\\ 5\\]' - Input: 'positional indexers are out-of-bounds'",failed -10770,tests.integ.modin.frame.test_loc,test_series_loc_set_with_empty_key_and_scalar_item[key2],Failed: DID NOT RAISE ,failed -10782,tests.integ.modin.frame.test_where,test_dataframe_where_not_implemented,Failed: DID NOT RAISE ,failed -10785,tests.integ.modin.frame.test_loc,test_df_loc_get_col_len_mismatch_boolean_indexer[key1],IndexError: positional indexers are out-of-bounds,failed -10788,tests.integ.modin.frame.test_loc,test_series_loc_set_with_empty_key_and_scalar_item[key3],Failed: DID NOT RAISE ,failed -10792,tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_snowpark_df_input_negative[row],"ValueError: Buffer has wrong number of dimensions (expected 1, got 2)",failed -10798,tests.integ.modin.frame.test_loc,test_df_loc_get_key_non_boolean_series_with_1k_shape[key1],"KeyError: array([ -539, 1160, -883, -970, -1083, 1051, -1232, -1263, -586, - 1271, -558, -3, -132, -1133, -1390, -451, -1030, -707, - -657, -1363, -223, -1466, 1020, -1215, -433, -211, -998, - -891, -63, -892, -153, -1478, -199])",failed -10809,tests.integ.modin.frame.test_where,test_dataframe_where_other_is_array,"ValueError: Data must be 1-dimensional, got ndarray of shape (2, 2) instead",failed -10810,tests.integ.modin.frame.test_loc,test_df_loc_set_with_empty_key_and_list_like_item[key0],"KeyError: ""None of [[]] are in the [Index([0, 1, 2], dtype='int64')]""",failed -10814,tests.integ.modin.frame.test_where,test_dataframe_where_other_is_array_wrong_size_negative,AssertionError: Snowpark pandas Exception Length of values (2) does not match length of index (3) doesn't match pandas Exception other must be the same shape as self when an ndarray,failed -10816,tests.integ.modin.frame.test_loc,test_df_loc_get_negative_row_diff2native[key0-TypeError-Passing a set as an indexer is not supported. Use a list instead.],"AssertionError: Regex pattern did not match. - Regex: 'Passing a set as an indexer is not supported. Use a list instead.' - Input: ""'set' type is unordered""",failed -10819,tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_snowpark_df_input_negative[col],"ValueError: Buffer has wrong number of dimensions (expected 1, got 2)",failed -10820,tests.integ.modin.frame.test_loc,test_df_loc_get_key_non_boolean_series_with_1k_shape[key2],"KeyError: array([ -351, -1466, -643, -727, -628, -1014, -631, -621, -82, - 1471, -1488, -10, -1116, 1214, 1295, -800, -1420, -783, - -290, -394, -821, 1255, -367, -1451, -301, -322, -126, - -557, -419, -661, 1279, 1219, 1416, -448, -1223, -1200, - 1101, 1183, 1382, -1072, 1243, -1466, -1442, -1061, 1252, - -666, -461, -10, -1332, -1415, 1068, -276, -913, -337, - 1187, -956, -589, -433, -625, -39, 1133, -397, 1118, - 1128, -189, -1345, -4, -214, -1235, -678, -376, -1476, - -1399, -606, 1453, -622, -946, 1139, -1261, -805, -816, - -234, -234, -771, 1190, -652, -1222, -1380, -358, -1121, - -519, -700, 1409, -150, -1079, 1222, 1458, -58, -1116, - -914, -283, -439, -467, -515, 1341, -1289, -616, -1291, - -1029, -1002, -35, 1167, 1320, -1109, -550, -773, -1241, - -646, -1385, -1031, -198, -567, -215, 1433, -548, -323, - -989, -143, -218, -59, -1243, -238, -950, -1040, 1123, - 1101, 1238, -1049, -1, -598, 1217, -665, -98, -815, - 1052, 1414, -105, -726, -1194, 1275, 1256, -80, -538, - 1007, -227, -1042, -1464, -492, -1479, -632, -901, 1197, - 1456, 1328, -616, 1368, -386, -324, 1329, 1251, -1147, - -395, -96, -1218, 1202, -852, 1166, -1417, 1354, -618, - -244, 1089, 1258, -1249, -556, -1262, 1464, 1018, -235, - -19, -1418, -1456, -768, 1284, -1336, -1104, -206, 1211, - -159, -880, -521, -227, -549, 1315, -1227, 1133, -956, - 1274, -973, -548, -928, -1295, -1061, -1338, -52, -1226, - -743, -1078, 1020, 1464, -546, -304, -851, 1304, -1416, - 1219, -542, -62, 1249, -354, -302, 1145, -688, -1354, - 1320, -745, -1245, -1041, -145, -527, -469, -9, -288, - 1275, -962, -259, -450, -412, -766, -1054, -113, -1200, - -1481, -688, -487, -771, -240, -1292, -907, -1379, -164, - -1163, 1304, -1047, 1472, -1176, -694, -1045, -999, -327, - -1188, 1161, -739, -1295, -800, 1121, 1329, -91, -576, - -299, 1385, -1241, 1172, -1240, 1144, -400, -208, -274, - -1441, -176, -1135, -1447, -788, -1207, -1213, -147, -835, - 1438, 1392, 1297, 1219, -1088, -1497, -100, -758, -266, - -807, -261, -572, 1449, -1009, -918, -447, -828, -1233, - -427, -672, -408, -782, 1134, -58, -418, 1437, 1151, - 1092, -610, -731, -1001, -699, -500, -915, -704, -702, - -417, 1099, -1003, -1121, -661, 1180, -346, -105, 1008, - -647, -1366, -499, -171, -977, 1033, -1077, -1158, -1178, - -1413, -735, 1239, -1308, -1142, -564, -205, -1276, 1345, - -889, -725, 1159, -1125, 1171, -831, -45, -151, -671, - 1411, 1341, -593, -1419, -263, -195, -1029, 1132, -180, - -561, -648, 1356, -1374, -82, -792, 1250, -1352, -269, - 1006, -1448, -481, -194, -897, -42, -878, 1232, 1337, - -1175, 1315, -668, 1090, 1246, -148, -182, -276, 1277, - -545, -551, 1002, -1466, 1075, -268, -912, -301, 1364, - -933, -823, -954, 1303, -1253, -1334, -138, -704, -968, - 1000, -262, -1352, -37, -1479, 1096, -760, -648, -673, - -582, -710, -345, 1061, -184, 1327, -1185, -1331, -1209, - -1060, 1043, -937, 1049, -1365, 1312, -616, -650, -136, - -1349, -1193, 1067, -1073, -1151, 1296, -678, -1380, -673, - -1030, -1083, -1344, -1245, 1049, 1186, -537, -578, -1035, - -932, -381, -995, -881, -731, 1325, 1192, -476, -8, - -1168, -1447, -973, -1312, 1341, 1347, -503, -212, -327, - 1146, 1062, -1494, 1206, -983, -1085, -164, -1237, -853, - -8, -164, -1419, 1300, -145, 1130, -1031, 1450, -609, - -344, 1458, -250, -422, -1476, -1021, -831, -1258, -1092, - 1126, -816, -398, -1152, -609, 1189, 1349, -1295, -363, - -237, -696, 1309, 1174, -620, -246, -331, -1102, -561, - -53, -121, 1492, -1339, -1054, 1043, 1457, -925, 1123, - -1018, -1467, -1001, -233, -901, -308, -850, -534, 1368, - -1203, -825, -110, -504, 1196, -1389, -456, -316, -404, - -869, -438, -836, -1, -1339, -1417, 1230, 1310, -252, - -61, -53, 1353, -362, -287, -976, 1081, -1496, 1036, - -152, -547, 1187, 1269, 1305, 1003, -1457, -236, -56, - -93, -1309, -708, -1314, 1453, -1280, 1441, -1241, 1176, - -1013, -192, -415, -1154, -651, -1318, 1018, 1228, 1328, - 1201, -358, 1393, -935, 1170, 1445, 1119, -947, -1051, - 1253, -1012, 1484, -1217, -328, -1251, 1044, 1244, -395, - 1043, 1004, -520, -1091, -1028, -739, 1189, -1475, 1232, - -1348, -1064, -517, 1293, 1088, 1490, 1099, -947, 1065, - -99, -1023, -923, 1119, 1296, -392, -1336, -343, -7, - -1131, -801, -89, -431, -1095, 1195, -677, 1350, -135, - -246, -362, -1326, 1243, -565, -1248, -582, -178, -749, - 1078, -1186, 1227, -1108, 1251, -324, -654, 1406, -1248, - 1092, -1147, -1024, 1005, -1104, 1017, -584, -604, -355, - -1419, -177, -1415, 1281, 1069, -866, -1149, -1447, -239, - -201, 1267, -1384, -176, 1452, 1191, -339, -332, -1123])",failed -10822,tests.integ.modin.frame.test_loc,test_df_loc_get_negative_row_diff2native[key1-TypeError-Passing a dict as an indexer is not supported. Use a list instead.],Failed: DID NOT RAISE ,failed -10832,tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_snowpark_empty_str_series_input_negative[row],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -10837,tests.integ.modin.frame.test_loc,test_df_loc_get_negative_row_diff2native[key2-TypeError-Please convert this to Snowpark pandas objects by calling modin],"KeyError: array([2, 4], dtype=object)",failed -10843,tests.integ.modin.frame.test_astype,test_astype_from_timestamp_ltz[uint8],"TypeError: Converting from datetime64[ns, America/Los_Angeles] to uint8 is not supported. Do obj.astype('int64').astype(dtype) instead",failed -10846,tests.integ.modin.frame.test_loc,test_df_loc_get_negative_row_diff2native[key3-TypeError-Please convert this to Snowpark pandas objects by calling modin],Failed: DID NOT RAISE ,failed -10848,tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_snowpark_empty_str_series_input_negative[col],"ValueError: -Location based indexing can only have [integer, integer slice (START point is -INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types.",failed -10857,tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_raises_not_implemented_error_negative[key0],Failed: DID NOT RAISE ,failed -10885,tests.integ.modin.frame.test_iloc,test_df_iloc_get_key_raises_not_implemented_error_negative[key1],Failed: DID NOT RAISE ,failed -10913,tests.integ.modin.frame.test_where,test_dataframe_where_with_dataframe_cond_single_index_different_names_2,"AssertionError: DataFrame.index are different +DataFrame shape mismatch +[left]: (2, 0) +[right]: (2, 2)",failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col9-row2],"AssertionError: Series are different + +Series length are different +[left]: 0, MultiIndex([], names=['fizz', 'buzz']) +[right]: 2, MultiIndex([('fizz1', 'buzz1'), + ('fizz2', 'buzz2')], + names=['fizz', 'buzz'])",failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col9-row3],"AssertionError: DataFrame are different + +DataFrame shape mismatch +[left]: (2, 0) +[right]: (2, 2)",failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col9-row4],"KeyError: ['viper', 'mark i', 'viper']",failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col9-row5],KeyError: 'mark vi',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col9-row6],KeyError: 'mark vi',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col9-row7],KeyError: 'mark vi',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col9-row8],KeyError: 'mark vi',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[col9-row9],"AssertionError: DataFrame are different + +DataFrame shape mismatch +[left]: (0, 0) +[right]: (6, 2)",failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[fizz1-mark i],AssertionError,failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[fizz1-row10],AssertionError,failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[fizz1-row11],AssertionError,failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[fizz1-row12],AssertionError: Got type: ,failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[fizz1-row13],AssertionError: Got type: ,failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[fizz1-row14],AssertionError,failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[fizz1-row1],AssertionError,failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[fizz1-row2],AssertionError: Got type: ,failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[fizz1-row3],AssertionError,failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[fizz1-row4],"KeyError: ['viper', 'mark i', 'viper']",failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[fizz1-row5],KeyError: 'mark vi',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[fizz1-row6],KeyError: 'mark vi',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[fizz1-row7],KeyError: 'mark vi',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[fizz1-row8],KeyError: 'mark vi',failed +tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_tuple_key[fizz1-row9],AssertionError,failed +tests.integ.modin.frame.test_loc,test_raise_set_cell_with_list_like_value_error,"ValueError: could not broadcast input array from shape (2,) into shape (1, 1)",failed +tests.integ.modin.frame.test_loc,test_series_loc_set_with_empty_key_and_scalar_item[key0],"KeyError: ""None of [[]] are in the [Index([0, 1, 2], dtype='int64')]""",failed +tests.integ.modin.frame.test_loc,test_series_loc_set_with_empty_key_and_scalar_item[key1],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_loc,test_series_loc_set_with_empty_key_and_scalar_item[key2],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_loc,test_series_loc_set_with_empty_key_and_scalar_item[key3],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_mask,test_dataframe_mask_cond_is_none_negative,AssertionError: exception type does not match with expected type ,failed +tests.integ.modin.frame.test_mask,test_dataframe_mask_cond_non_boolean_negative_test,TypeError: bad operand type for unary ~: 'str',failed +tests.integ.modin.frame.test_mask,test_dataframe_mask_not_implemented,Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_mask,test_dataframe_mask_with_dataframe_cond_single_index_different_names_2,"AssertionError: DataFrame.index are different Attribute ""names"" are different [left]: [None] [right]: ['B']",failed -10927,tests.integ.modin.frame.test_loc,test_df_loc_get_negative_snowpark_pandas_input[dataframe],Failed: DID NOT RAISE ,failed -10934,tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_col_key[fizz1-None],AssertionError,failed -10936,tests.integ.modin.frame.test_where,test_dataframe_where_with_duplicated_index_aligned[10-cond_frame0],"AssertionError: DataFrame.index are different +tests.integ.modin.frame.test_mask,test_dataframe_mask_with_duplicated_columns_negative[None-others_column_names1-Multiple columns are mapped to each label in ['C'] in DataFrame other],AssertionError: exception type does not match with expected type ,failed +tests.integ.modin.frame.test_mask,test_dataframe_mask_with_duplicated_columns_negative[cond_column_names0-None-Multiple columns are mapped to each label in ['A'] in DataFrame condition],"AssertionError: Regex pattern did not match. + Regex: ""Multiple\\ columns\\ are\\ mapped\\ to\\ each\\ label\\ in\\ \\['A'\\]\\ in\\ DataFrame\\ condition"" + Input: 'cannot reindex on an axis with duplicate labels'",failed +tests.integ.modin.frame.test_mask,test_dataframe_mask_with_duplicated_columns_negative[cond_column_names2-others_column_names2-Multiple columns are mapped to each label in ['C'] in DataFrame condition],"AssertionError: Regex pattern did not match. + Regex: ""Multiple\\ columns\\ are\\ mapped\\ to\\ each\\ label\\ in\\ \\['C'\\]\\ in\\ DataFrame\\ condition"" + Input: 'cannot reindex on an axis with duplicate labels'",failed +tests.integ.modin.frame.test_mask,test_dataframe_mask_with_duplicated_index_aligned[10-cond_frame0],"AssertionError: DataFrame.index are different Attribute ""names"" are different [left]: [None] [right]: ['index']",failed -10944,tests.integ.modin.frame.test_loc,test_df_setitem_boolean_key[index1-False],"AssertionError: DataFrame are different +tests.integ.modin.frame.test_mask,test_dataframe_mask_with_duplicated_index_aligned[10-cond_frame1],"AssertionError: DataFrame.index are different -DataFrame shape mismatch -[left]: (4, 3) -[right]: (5, 3)",failed -10956,tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_col_key[key4-None],"AssertionError: DataFrame.columns are different - -DataFrame.columns classes are different -[left]: Index(['buzz1'], dtype='object', name='buzz') -[right]: MultiIndex([('fizz1', 'buzz1')], - names=['fizz', 'buzz'])",failed -10967,tests.integ.modin.frame.test_where,test_dataframe_where_with_duplicated_index_aligned[10-cond_frame1],"AssertionError: DataFrame.index are different +Attribute ""names"" are different +[left]: [None] +[right]: ['index']",failed +tests.integ.modin.frame.test_mask,test_dataframe_mask_with_duplicated_index_aligned[other1-cond_frame0],"AssertionError: DataFrame.index are different Attribute ""names"" are different [left]: [None] [right]: ['index']",failed -10971,tests.integ.modin.frame.test_loc,test_df_setitem_boolean_key[index2-0],"AssertionError: DataFrame are different +tests.integ.modin.frame.test_mask,test_dataframe_mask_with_duplicated_index_aligned[other1-cond_frame1],"AssertionError: DataFrame.index are different -DataFrame shape mismatch -[left]: (4, 3) -[right]: (5, 3)",failed -10986,tests.integ.modin.groupby.test_groupby_basic_agg,test_engine_kwargs_warning,"AssertionError: assert 'The argument `engine` of `groupby_max` has been ignored by Snowpark pandas API' in '' - + where '' = <_pytest.logging.LogCaptureFixture object at 0x344297130>.text",failed -10987,tests.integ.modin.frame.test_where,test_dataframe_where_with_duplicated_index_aligned[other1-cond_frame0],"AssertionError: DataFrame.index are different +Attribute ""names"" are different +[left]: [None] +[right]: ['index']",failed +tests.integ.modin.frame.test_mask,test_dataframe_mask_with_duplicated_index_aligned[other2-cond_frame0],"AssertionError: DataFrame.index are different Attribute ""names"" are different [left]: [None] [right]: ['index']",failed -10992,tests.integ.modin.groupby.test_groupby_basic_agg,test_groupby_with_observed_warns,"AssertionError: assert 'CategoricalDType is not yet supported with Snowpark pandas API, the observed parameter is ignored.' in '' - + where '' = <_pytest.logging.LogCaptureFixture object at 0x3442797b0>.text",failed -11004,tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_col_key[key5-None],KeyError: 'fizz2',failed -11006,tests.integ.modin.frame.test_where,test_dataframe_where_with_duplicated_index_aligned[other1-cond_frame1],"AssertionError: DataFrame.index are different +tests.integ.modin.frame.test_mask,test_dataframe_mask_with_duplicated_index_aligned[other2-cond_frame1],"AssertionError: DataFrame.index are different Attribute ""names"" are different [left]: [None] [right]: ['index']",failed -11010,tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[False-1-1-None],"AssertionError: DataFrame are different +tests.integ.modin.frame.test_mask,test_dataframe_mask_with_duplicated_index_unaligned,pandas.errors.InvalidIndexError,failed +tests.integ.modin.frame.test_mask,test_mask_series_other_axis_not_specified,"AssertionError: Regex pattern did not match. + Regex: 'df.mask requires an axis parameter \\(0 or 1\\) when given a Series' + Input: 'Must specify axis=0 or 1'",failed +tests.integ.modin.frame.test_melt,test_melt_general_path[data0],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed +tests.integ.modin.frame.test_melt,test_melt_general_path[data10],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed +tests.integ.modin.frame.test_melt,test_melt_general_path[data11],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed +tests.integ.modin.frame.test_melt,test_melt_general_path[data12],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed +tests.integ.modin.frame.test_melt,test_melt_general_path[data13],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed +tests.integ.modin.frame.test_melt,test_melt_general_path[data14],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed +tests.integ.modin.frame.test_melt,test_melt_general_path[data15],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed +tests.integ.modin.frame.test_melt,test_melt_general_path[data16],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed +tests.integ.modin.frame.test_melt,test_melt_general_path[data17],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed +tests.integ.modin.frame.test_melt,test_melt_general_path[data18],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed +tests.integ.modin.frame.test_melt,test_melt_general_path[data19],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed +tests.integ.modin.frame.test_melt,test_melt_general_path[data1],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed +tests.integ.modin.frame.test_melt,test_melt_general_path[data2],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed +tests.integ.modin.frame.test_melt,test_melt_general_path[data3],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed +tests.integ.modin.frame.test_melt,test_melt_general_path[data4],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed +tests.integ.modin.frame.test_melt,test_melt_general_path[data5],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed +tests.integ.modin.frame.test_melt,test_melt_general_path[data6],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed +tests.integ.modin.frame.test_melt,test_melt_general_path[data7],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed +tests.integ.modin.frame.test_melt,test_melt_general_path[data8],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed +tests.integ.modin.frame.test_melt,test_melt_general_path[data9],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed +tests.integ.modin.frame.test_melt,test_melt_simple_path[data0],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed +tests.integ.modin.frame.test_melt,test_melt_simple_path[data10],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed +tests.integ.modin.frame.test_melt,test_melt_simple_path[data11],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed +tests.integ.modin.frame.test_melt,test_melt_simple_path[data12],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed +tests.integ.modin.frame.test_melt,test_melt_simple_path[data13],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed +tests.integ.modin.frame.test_melt,test_melt_simple_path[data14],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed +tests.integ.modin.frame.test_melt,test_melt_simple_path[data15],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed +tests.integ.modin.frame.test_melt,test_melt_simple_path[data16],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed +tests.integ.modin.frame.test_melt,test_melt_simple_path[data17],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed +tests.integ.modin.frame.test_melt,test_melt_simple_path[data18],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed +tests.integ.modin.frame.test_melt,test_melt_simple_path[data19],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed +tests.integ.modin.frame.test_melt,test_melt_simple_path[data1],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed +tests.integ.modin.frame.test_melt,test_melt_simple_path[data2],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed +tests.integ.modin.frame.test_melt,test_melt_simple_path[data3],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed +tests.integ.modin.frame.test_melt,test_melt_simple_path[data4],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed +tests.integ.modin.frame.test_melt,test_melt_simple_path[data5],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed +tests.integ.modin.frame.test_melt,test_melt_simple_path[data6],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed +tests.integ.modin.frame.test_melt,test_melt_simple_path[data7],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed +tests.integ.modin.frame.test_melt,test_melt_simple_path[data8],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed +tests.integ.modin.frame.test_melt,test_melt_simple_path[data9],AttributeError: 'DataFrame' object has no attribute 'ordered_dataframe',failed +tests.integ.modin.frame.test_melt,test_multi_column_melt,ValueError: value_vars must be a list of tuples when columns are a MultiIndex,failed +tests.integ.modin.frame.test_memory_usage,test_memory_usage,assert np.int64(8) == 0,failed +tests.integ.modin.frame.test_merge,test_join_type_mismatch[index20-index11],"AssertionError: DataFrame.index are different -DataFrame shape mismatch -[left]: (1, 7) -[right]: (2, 7)",failed -11011,tests.integ.modin.frame.test_astype,test_astype_from_timestamp_ltz[float32],"AssertionError: Regex pattern did not match. - Regex: 'cannot be converted' - Input: 'Cannot cast DatetimeArray to dtype float32'",failed -11016,tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[False-1-1--1],"AssertionError: DataFrame are different +DataFrame.index values are different (66.66667 %) +[left]: Index([1.5, 8.0, 7.0], dtype='float64') +[right]: Index([1.5, 7.0, 8.0], dtype='float64') +At positional index 1, first diff: 8.0 != 7.0",failed +tests.integ.modin.frame.test_merge,test_join_type_mismatch[index20-index12],pandas.errors.InvalidIndexError: Reindexing only valid with uniquely valued Index objects,failed +tests.integ.modin.frame.test_merge,test_join_type_mismatch[index21-index10],"AssertionError: DataFrame.index are different -DataFrame shape mismatch -[left]: (1, 7) -[right]: (2, 7)",failed -11021,tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[False-1-1-1],"AssertionError: DataFrame are different +DataFrame.index values are different (100.0 %) +[left]: Index([3.0, 4.0, 1.5], dtype='float64') +[right]: Index([1.5, 3.0, 4.0], dtype='float64') +At positional index 0, first diff: 3.0 != 1.5",failed +tests.integ.modin.frame.test_merge,test_join_type_mismatch[index21-index11],"AssertionError: DataFrame.index are different -DataFrame shape mismatch -[left]: (0, 7) -[right]: (1, 7)",failed -11024,tests.integ.modin.frame.test_loc,test_df_setitem_boolean_key[index3-False],ValueError: cannot reindex on an axis with duplicate labels,failed -11030,tests.integ.modin.frame.test_loc,test_mi_df_loc_get_non_boolean_list_col_key[key7-None],KeyError: 'buzz1',failed -11035,tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[False-1-4-None],"AssertionError: DataFrame are different +DataFrame.index values are different (66.66667 %) +[left]: Index([1.5, 8.0, 3.0], dtype='float64') +[right]: Index([1.5, 3.0, 8.0], dtype='float64') +At positional index 1, first diff: 8.0 != 3.0",failed +tests.integ.modin.frame.test_merge,test_join_type_mismatch[index21-index12],pandas.errors.InvalidIndexError: Reindexing only valid with uniquely valued Index objects,failed +tests.integ.modin.frame.test_merge,test_join_type_mismatch[index22-index10],pandas.errors.InvalidIndexError: Reindexing only valid with uniquely valued Index objects,failed +tests.integ.modin.frame.test_merge,test_join_type_mismatch[index22-index11],pandas.errors.InvalidIndexError: Reindexing only valid with uniquely valued Index objects,failed +tests.integ.modin.frame.test_merge,test_join_type_mismatch[index22-index12],"AssertionError: DataFrame are different DataFrame shape mismatch -[left]: (4, 7) -[right]: (5, 7)",failed -11039,tests.integ.modin.frame.test_loc,test_df_setitem_boolean_key[index3-0],ValueError: cannot reindex on an axis with duplicate labels,failed -11041,tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[False-1-4--1],"AssertionError: DataFrame are different +[left]: (2, 2) +[right]: (4, 2)",failed +tests.integ.modin.frame.test_merge,test_join_type_mismatch_diff_with_native_pandas[index10-index20-expected_res0],"AssertionError: DataFrame are different DataFrame shape mismatch -[left]: (4, 7) -[right]: (5, 7)",failed -11042,tests.integ.modin.frame.test_where,test_dataframe_where_with_duplicated_index_aligned[other2-cond_frame0],"AssertionError: DataFrame.index are different +[left]: (4, 2) +[right]: (3, 2)",failed +tests.integ.modin.frame.test_merge,test_join_type_mismatch_diff_with_native_pandas[index11-index21-expected_res1],"AssertionError: DataFrame.index are different + +Attribute ""inferred_type"" are different +[left]: mixed +[right]: string",failed +tests.integ.modin.frame.test_merge,test_join_type_mismatch_negative[index10-index20],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_merge,test_join_type_mismatch_negative[index11-index21],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_merge,test_join_type_mismatch_negative[index12-index22],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_merge,test_merge_different_index_names,KeyError: 'd',failed +tests.integ.modin.frame.test_merge,test_merge_empty_with_non_empty[inner-False-kwargs2],KeyError: 'i',failed +tests.integ.modin.frame.test_merge,test_merge_empty_with_non_empty[inner-False-kwargs3],KeyError: 'None of [None] are in the columns',failed +tests.integ.modin.frame.test_merge,test_merge_empty_with_non_empty[inner-True-kwargs2],KeyError: 'i',failed +tests.integ.modin.frame.test_merge,test_merge_empty_with_non_empty[inner-True-kwargs3],KeyError: 'None of [None] are in the columns',failed +tests.integ.modin.frame.test_merge,test_merge_empty_with_non_empty[left-False-kwargs2],KeyError: 'i',failed +tests.integ.modin.frame.test_merge,test_merge_empty_with_non_empty[left-False-kwargs3],KeyError: 'None of [None] are in the columns',failed +tests.integ.modin.frame.test_merge,test_merge_empty_with_non_empty[left-True-kwargs2],KeyError: 'i',failed +tests.integ.modin.frame.test_merge,test_merge_empty_with_non_empty[left-True-kwargs3],KeyError: 'None of [None] are in the columns',failed +tests.integ.modin.frame.test_merge,test_merge_empty_with_non_empty[outer-False-kwargs2],KeyError: 'i',failed +tests.integ.modin.frame.test_merge,test_merge_empty_with_non_empty[outer-False-kwargs3],KeyError: 'None of [None] are in the columns',failed +tests.integ.modin.frame.test_merge,test_merge_empty_with_non_empty[outer-True-kwargs2],KeyError: 'i',failed +tests.integ.modin.frame.test_merge,test_merge_empty_with_non_empty[outer-True-kwargs3],KeyError: 'None of [None] are in the columns',failed +tests.integ.modin.frame.test_merge,test_merge_empty_with_non_empty[right-False-kwargs2],KeyError: 'i',failed +tests.integ.modin.frame.test_merge,test_merge_empty_with_non_empty[right-False-kwargs3],KeyError: 'None of [None] are in the columns',failed +tests.integ.modin.frame.test_merge,test_merge_empty_with_non_empty[right-True-kwargs2],KeyError: 'i',failed +tests.integ.modin.frame.test_merge,test_merge_empty_with_non_empty[right-True-kwargs3],KeyError: 'None of [None] are in the columns',failed +tests.integ.modin.frame.test_merge,test_merge_invalid_how_negative,UnboundLocalError: local variable 'lidx' referenced before assignment,failed +tests.integ.modin.frame.test_merge,test_merge_left_index_right_index_multi_to_single[inner-False],ValueError: cannot join with no overlapping index names,failed +tests.integ.modin.frame.test_merge,test_merge_left_index_right_index_multi_to_single[inner-True],ValueError: cannot join with no overlapping index names,failed +tests.integ.modin.frame.test_merge,test_merge_left_index_right_index_multi_to_single[left-False],ValueError: cannot join with no overlapping index names,failed +tests.integ.modin.frame.test_merge,test_merge_left_index_right_index_multi_to_single[left-True],ValueError: cannot join with no overlapping index names,failed +tests.integ.modin.frame.test_merge,test_merge_left_index_right_index_multi_to_single[outer-False],"NotImplementedError: Can only union MultiIndex with MultiIndex or Index of tuples, try mi.to_flat_index().union(other) instead.",failed +tests.integ.modin.frame.test_merge,test_merge_left_index_right_index_multi_to_single[outer-True],"NotImplementedError: Can only union MultiIndex with MultiIndex or Index of tuples, try mi.to_flat_index().union(other) instead.",failed +tests.integ.modin.frame.test_merge,test_merge_left_index_right_index_multi_to_single[right-False],ValueError: cannot join with no overlapping index names,failed +tests.integ.modin.frame.test_merge,test_merge_left_index_right_index_multi_to_single[right-True],ValueError: cannot join with no overlapping index names,failed +tests.integ.modin.frame.test_merge,test_merge_left_index_right_index_no_common_names_negative,Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_merge,test_merge_left_index_right_index_none_as_common_label_negative,Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_merge,test_merge_left_index_right_index_single_to_multi[inner-True],ValueError: cannot join with no overlapping index names,failed +tests.integ.modin.frame.test_merge,test_merge_left_index_right_index_single_to_multi[left-False],ValueError: cannot join with no overlapping index names,failed +tests.integ.modin.frame.test_merge,test_merge_left_index_right_index_single_to_multi[left-True],ValueError: cannot join with no overlapping index names,failed +tests.integ.modin.frame.test_merge,test_merge_left_index_right_index_single_to_multi[outer-False],"AssertionError: assert FrozenList([None]) == ['right_i', 'left_i'] + At index 0 diff: None != 'right_i' + Right contains one more item: 'left_i' + Full diff: + - ['right_i', 'left_i'] + + FrozenList([None])",failed +tests.integ.modin.frame.test_merge,test_merge_left_index_right_index_single_to_multi[outer-True],"AssertionError: assert FrozenList([None]) == ['right_i', 'left_i'] + At index 0 diff: None != 'right_i' + Right contains one more item: 'left_i' + Full diff: + - ['right_i', 'left_i'] + + FrozenList([None])",failed +tests.integ.modin.frame.test_merge,test_merge_left_index_right_index_single_to_multi[right-False],ValueError: cannot join with no overlapping index names,failed +tests.integ.modin.frame.test_merge,test_merge_left_index_right_index_single_to_multi[right-True],ValueError: cannot join with no overlapping index names,failed +tests.integ.modin.frame.test_merge,test_merge_left_index_right_on[inner-False-A],KeyError: 'None of [None] are in the columns',failed +tests.integ.modin.frame.test_merge,test_merge_left_index_right_on[inner-False-B],KeyError: 'None of [None] are in the columns',failed +tests.integ.modin.frame.test_merge,test_merge_left_index_right_on[inner-False-right_i],KeyError: 'right_i',failed +tests.integ.modin.frame.test_merge,test_merge_left_index_right_on[inner-True-A],KeyError: 'None of [None] are in the columns',failed +tests.integ.modin.frame.test_merge,test_merge_left_index_right_on[inner-True-B],KeyError: 'None of [None] are in the columns',failed +tests.integ.modin.frame.test_merge,test_merge_left_index_right_on[inner-True-right_i],KeyError: 'right_i',failed +tests.integ.modin.frame.test_merge,test_merge_left_index_right_on[left-False-A],KeyError: 'None of [None] are in the columns',failed +tests.integ.modin.frame.test_merge,test_merge_left_index_right_on[left-False-B],KeyError: 'None of [None] are in the columns',failed +tests.integ.modin.frame.test_merge,test_merge_left_index_right_on[left-False-right_i],KeyError: 'right_i',failed +tests.integ.modin.frame.test_merge,test_merge_left_index_right_on[left-True-A],KeyError: 'None of [None] are in the columns',failed +tests.integ.modin.frame.test_merge,test_merge_left_index_right_on[left-True-B],KeyError: 'None of [None] are in the columns',failed +tests.integ.modin.frame.test_merge,test_merge_left_index_right_on[left-True-right_i],KeyError: 'right_i',failed +tests.integ.modin.frame.test_merge,test_merge_left_index_right_on[outer-False-A],KeyError: 'None of [None] are in the columns',failed +tests.integ.modin.frame.test_merge,test_merge_left_index_right_on[outer-False-B],KeyError: 'None of [None] are in the columns',failed +tests.integ.modin.frame.test_merge,test_merge_left_index_right_on[outer-False-right_i],KeyError: 'right_i',failed +tests.integ.modin.frame.test_merge,test_merge_left_index_right_on[outer-True-A],KeyError: 'None of [None] are in the columns',failed +tests.integ.modin.frame.test_merge,test_merge_left_index_right_on[outer-True-B],KeyError: 'None of [None] are in the columns',failed +tests.integ.modin.frame.test_merge,test_merge_left_index_right_on[outer-True-right_i],KeyError: 'right_i',failed +tests.integ.modin.frame.test_merge,test_merge_left_index_right_on[right-False-A],KeyError: 'None of [None] are in the columns',failed +tests.integ.modin.frame.test_merge,test_merge_left_index_right_on[right-False-B],KeyError: 'None of [None] are in the columns',failed +tests.integ.modin.frame.test_merge,test_merge_left_index_right_on[right-False-right_i],KeyError: 'right_i',failed +tests.integ.modin.frame.test_merge,test_merge_left_index_right_on[right-True-A],KeyError: 'None of [None] are in the columns',failed +tests.integ.modin.frame.test_merge,test_merge_left_index_right_on[right-True-B],KeyError: 'None of [None] are in the columns',failed +tests.integ.modin.frame.test_merge,test_merge_left_index_right_on[right-True-right_i],KeyError: 'right_i',failed +tests.integ.modin.frame.test_merge,test_merge_left_on_right_index[inner-False-A],KeyError: 'None of [None] are in the columns',failed +tests.integ.modin.frame.test_merge,test_merge_left_on_right_index[inner-False-B],KeyError: 'None of [None] are in the columns',failed +tests.integ.modin.frame.test_merge,test_merge_left_on_right_index[inner-False-left_i],KeyError: 'left_i',failed +tests.integ.modin.frame.test_merge,test_merge_left_on_right_index[inner-True-A],KeyError: 'None of [None] are in the columns',failed +tests.integ.modin.frame.test_merge,test_merge_left_on_right_index[inner-True-B],KeyError: 'None of [None] are in the columns',failed +tests.integ.modin.frame.test_merge,test_merge_left_on_right_index[inner-True-left_i],KeyError: 'left_i',failed +tests.integ.modin.frame.test_merge,test_merge_left_on_right_index[left-False-A],KeyError: 'None of [None] are in the columns',failed +tests.integ.modin.frame.test_merge,test_merge_left_on_right_index[left-False-B],KeyError: 'None of [None] are in the columns',failed +tests.integ.modin.frame.test_merge,test_merge_left_on_right_index[left-False-left_i],KeyError: 'left_i',failed +tests.integ.modin.frame.test_merge,test_merge_left_on_right_index[left-True-A],KeyError: 'None of [None] are in the columns',failed +tests.integ.modin.frame.test_merge,test_merge_left_on_right_index[left-True-B],KeyError: 'None of [None] are in the columns',failed +tests.integ.modin.frame.test_merge,test_merge_left_on_right_index[left-True-left_i],KeyError: 'left_i',failed +tests.integ.modin.frame.test_merge,test_merge_left_on_right_index[outer-False-A],KeyError: 'None of [None] are in the columns',failed +tests.integ.modin.frame.test_merge,test_merge_left_on_right_index[outer-False-B],KeyError: 'None of [None] are in the columns',failed +tests.integ.modin.frame.test_merge,test_merge_left_on_right_index[outer-False-left_i],KeyError: 'left_i',failed +tests.integ.modin.frame.test_merge,test_merge_left_on_right_index[outer-True-A],KeyError: 'None of [None] are in the columns',failed +tests.integ.modin.frame.test_merge,test_merge_left_on_right_index[outer-True-B],KeyError: 'None of [None] are in the columns',failed +tests.integ.modin.frame.test_merge,test_merge_left_on_right_index[outer-True-left_i],KeyError: 'left_i',failed +tests.integ.modin.frame.test_merge,test_merge_left_on_right_index[right-False-A],KeyError: 'None of [None] are in the columns',failed +tests.integ.modin.frame.test_merge,test_merge_left_on_right_index[right-False-B],KeyError: 'None of [None] are in the columns',failed +tests.integ.modin.frame.test_merge,test_merge_left_on_right_index[right-False-left_i],KeyError: 'left_i',failed +tests.integ.modin.frame.test_merge,test_merge_left_on_right_index[right-True-A],KeyError: 'None of [None] are in the columns',failed +tests.integ.modin.frame.test_merge,test_merge_left_on_right_index[right-True-B],KeyError: 'None of [None] are in the columns',failed +tests.integ.modin.frame.test_merge,test_merge_left_on_right_index[right-True-left_i],KeyError: 'left_i',failed +tests.integ.modin.frame.test_merge,test_merge_left_on_right_on[inner-False-B-right_i],KeyError: 'right_i',failed +tests.integ.modin.frame.test_merge,test_merge_left_on_right_on[inner-False-left_i-A],KeyError: 'left_i',failed +tests.integ.modin.frame.test_merge,test_merge_left_on_right_on[inner-False-left_i-right_i],KeyError: 'right_i',failed +tests.integ.modin.frame.test_merge,test_merge_left_on_right_on[inner-False-left_on9-right_on9],KeyError: 'right_i',failed +tests.integ.modin.frame.test_merge,test_merge_left_on_right_on[inner-True-B-right_i],KeyError: 'right_i',failed +tests.integ.modin.frame.test_merge,test_merge_left_on_right_on[inner-True-left_i-A],KeyError: 'left_i',failed +tests.integ.modin.frame.test_merge,test_merge_left_on_right_on[inner-True-left_i-right_i],KeyError: 'right_i',failed +tests.integ.modin.frame.test_merge,test_merge_left_on_right_on[inner-True-left_on9-right_on9],KeyError: 'right_i',failed +tests.integ.modin.frame.test_merge,test_merge_left_on_right_on[left-False-B-right_i],KeyError: 'right_i',failed +tests.integ.modin.frame.test_merge,test_merge_left_on_right_on[left-False-left_i-A],KeyError: 'left_i',failed +tests.integ.modin.frame.test_merge,test_merge_left_on_right_on[left-False-left_i-right_i],KeyError: 'right_i',failed +tests.integ.modin.frame.test_merge,test_merge_left_on_right_on[left-False-left_on9-right_on9],KeyError: 'right_i',failed +tests.integ.modin.frame.test_merge,test_merge_left_on_right_on[left-True-B-right_i],KeyError: 'right_i',failed +tests.integ.modin.frame.test_merge,test_merge_left_on_right_on[left-True-left_i-A],KeyError: 'left_i',failed +tests.integ.modin.frame.test_merge,test_merge_left_on_right_on[left-True-left_i-right_i],KeyError: 'right_i',failed +tests.integ.modin.frame.test_merge,test_merge_left_on_right_on[left-True-left_on9-right_on9],KeyError: 'right_i',failed +tests.integ.modin.frame.test_merge,test_merge_left_on_right_on[outer-False-B-right_i],KeyError: 'right_i',failed +tests.integ.modin.frame.test_merge,test_merge_left_on_right_on[outer-False-left_i-A],KeyError: 'left_i',failed +tests.integ.modin.frame.test_merge,test_merge_left_on_right_on[outer-False-left_i-right_i],KeyError: 'right_i',failed +tests.integ.modin.frame.test_merge,test_merge_left_on_right_on[outer-False-left_on9-right_on9],KeyError: 'right_i',failed +tests.integ.modin.frame.test_merge,test_merge_left_on_right_on[outer-True-B-right_i],KeyError: 'right_i',failed +tests.integ.modin.frame.test_merge,test_merge_left_on_right_on[outer-True-left_i-A],KeyError: 'left_i',failed +tests.integ.modin.frame.test_merge,test_merge_left_on_right_on[outer-True-left_i-right_i],KeyError: 'right_i',failed +tests.integ.modin.frame.test_merge,test_merge_left_on_right_on[outer-True-left_on9-right_on9],KeyError: 'right_i',failed +tests.integ.modin.frame.test_merge,test_merge_left_on_right_on[right-False-B-right_i],KeyError: 'right_i',failed +tests.integ.modin.frame.test_merge,test_merge_left_on_right_on[right-False-left_i-A],KeyError: 'left_i',failed +tests.integ.modin.frame.test_merge,test_merge_left_on_right_on[right-False-left_i-right_i],KeyError: 'right_i',failed +tests.integ.modin.frame.test_merge,test_merge_left_on_right_on[right-False-left_on9-right_on9],KeyError: 'right_i',failed +tests.integ.modin.frame.test_merge,test_merge_left_on_right_on[right-True-B-right_i],KeyError: 'right_i',failed +tests.integ.modin.frame.test_merge,test_merge_left_on_right_on[right-True-left_i-A],KeyError: 'left_i',failed +tests.integ.modin.frame.test_merge,test_merge_left_on_right_on[right-True-left_i-right_i],KeyError: 'right_i',failed +tests.integ.modin.frame.test_merge,test_merge_left_on_right_on[right-True-left_on9-right_on9],KeyError: 'right_i',failed +tests.integ.modin.frame.test_merge,test_merge_mis_specified_negative[None-None-None-True-right_index12],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_merge,test_merge_mis_specified_negative[None-None-None-left_index11-True],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_merge,test_merge_non_empty_with_empty[inner-False-kwargs2],KeyError: 'left_i',failed +tests.integ.modin.frame.test_merge,test_merge_non_empty_with_empty[inner-False-kwargs3],KeyError: 'None of [None] are in the columns',failed +tests.integ.modin.frame.test_merge,test_merge_non_empty_with_empty[inner-True-kwargs2],KeyError: 'left_i',failed +tests.integ.modin.frame.test_merge,test_merge_non_empty_with_empty[inner-True-kwargs3],KeyError: 'None of [None] are in the columns',failed +tests.integ.modin.frame.test_merge,test_merge_non_empty_with_empty[left-False-kwargs2],KeyError: 'left_i',failed +tests.integ.modin.frame.test_merge,test_merge_non_empty_with_empty[left-False-kwargs3],KeyError: 'None of [None] are in the columns',failed +tests.integ.modin.frame.test_merge,test_merge_non_empty_with_empty[left-True-kwargs2],KeyError: 'left_i',failed +tests.integ.modin.frame.test_merge,test_merge_non_empty_with_empty[left-True-kwargs3],KeyError: 'None of [None] are in the columns',failed +tests.integ.modin.frame.test_merge,test_merge_non_empty_with_empty[outer-False-kwargs2],KeyError: 'left_i',failed +tests.integ.modin.frame.test_merge,test_merge_non_empty_with_empty[outer-False-kwargs3],KeyError: 'None of [None] are in the columns',failed +tests.integ.modin.frame.test_merge,test_merge_non_empty_with_empty[outer-True-kwargs2],KeyError: 'left_i',failed +tests.integ.modin.frame.test_merge,test_merge_non_empty_with_empty[outer-True-kwargs3],KeyError: 'None of [None] are in the columns',failed +tests.integ.modin.frame.test_merge,test_merge_non_empty_with_empty[right-False-kwargs2],KeyError: 'left_i',failed +tests.integ.modin.frame.test_merge,test_merge_non_empty_with_empty[right-False-kwargs3],KeyError: 'None of [None] are in the columns',failed +tests.integ.modin.frame.test_merge,test_merge_non_empty_with_empty[right-True-kwargs2],KeyError: 'left_i',failed +tests.integ.modin.frame.test_merge,test_merge_non_empty_with_empty[right-True-kwargs3],KeyError: 'None of [None] are in the columns',failed +tests.integ.modin.frame.test_merge,test_merge_on_array_like_keys_length_mismatch_negative[left_on0],"AssertionError: Regex pattern did not match. + Regex: 'array-like join key must be of same length as dataframe' + Input: 'The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()'",failed +tests.integ.modin.frame.test_merge,test_merge_on_array_like_keys_length_mismatch_negative[left_on1],"AssertionError: Regex pattern did not match. + Regex: 'array-like join key must be of same length as dataframe' + Input: 'The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()'",failed +tests.integ.modin.frame.test_merge,test_merge_on_index_columns[inner-False-left_i],KeyError: 'left_i',failed +tests.integ.modin.frame.test_merge,test_merge_on_index_columns[inner-False-right_i],KeyError: 'right_i',failed +tests.integ.modin.frame.test_merge,test_merge_on_index_columns[inner-True-left_i],KeyError: 'left_i',failed +tests.integ.modin.frame.test_merge,test_merge_on_index_columns[inner-True-right_i],KeyError: 'right_i',failed +tests.integ.modin.frame.test_merge,test_merge_on_index_columns[left-False-left_i],KeyError: 'left_i',failed +tests.integ.modin.frame.test_merge,test_merge_on_index_columns[left-False-right_i],KeyError: 'right_i',failed +tests.integ.modin.frame.test_merge,test_merge_on_index_columns[left-True-left_i],KeyError: 'left_i',failed +tests.integ.modin.frame.test_merge,test_merge_on_index_columns[left-True-right_i],KeyError: 'right_i',failed +tests.integ.modin.frame.test_merge,test_merge_on_index_columns[outer-False-left_i],KeyError: 'left_i',failed +tests.integ.modin.frame.test_merge,test_merge_on_index_columns[outer-False-right_i],KeyError: 'right_i',failed +tests.integ.modin.frame.test_merge,test_merge_on_index_columns[outer-True-left_i],KeyError: 'left_i',failed +tests.integ.modin.frame.test_merge,test_merge_on_index_columns[outer-True-right_i],KeyError: 'right_i',failed +tests.integ.modin.frame.test_merge,test_merge_on_index_columns[right-False-left_i],KeyError: 'left_i',failed +tests.integ.modin.frame.test_merge,test_merge_on_index_columns[right-False-right_i],KeyError: 'right_i',failed +tests.integ.modin.frame.test_merge,test_merge_on_index_columns[right-True-left_i],KeyError: 'left_i',failed +tests.integ.modin.frame.test_merge,test_merge_on_index_columns[right-True-right_i],KeyError: 'right_i',failed +tests.integ.modin.frame.test_merge,test_merge_on_index_multiindex_common_labels[outer-False],"AssertionError: MultiIndex level [0] are different + +MultiIndex level [0] values are different (60.0 %) +[left]: Index([0, 1, 3, 2, 4, 8, 4, 2, 9, 1], dtype='int64') +[right]: Index([0, 1, 1, 2, 2, 3, 4, 4, 8, 9], dtype='int64') +At positional index 2, first diff: 3 != 1",failed +tests.integ.modin.frame.test_merge,test_merge_on_index_multiindex_common_labels_with_none[inner-False],pandas bug: https://github.com/pandas-dev/pandas/issues/58721,xfailed +tests.integ.modin.frame.test_merge,test_merge_on_index_multiindex_common_labels_with_none[inner-True],pandas bug: https://github.com/pandas-dev/pandas/issues/58721,xfailed +tests.integ.modin.frame.test_merge,test_merge_on_index_multiindex_common_labels_with_none[left-False],pandas bug: https://github.com/pandas-dev/pandas/issues/58721,xfailed +tests.integ.modin.frame.test_merge,test_merge_on_index_multiindex_common_labels_with_none[left-True],pandas bug: https://github.com/pandas-dev/pandas/issues/58721,xfailed +tests.integ.modin.frame.test_merge,test_merge_on_index_multiindex_common_labels_with_none[outer-False],pandas bug: https://github.com/pandas-dev/pandas/issues/58721,xfailed +tests.integ.modin.frame.test_merge,test_merge_on_index_multiindex_common_labels_with_none[outer-True],pandas bug: https://github.com/pandas-dev/pandas/issues/58721,xfailed +tests.integ.modin.frame.test_merge,test_merge_on_index_multiindex_common_labels_with_none[right-False],pandas bug: https://github.com/pandas-dev/pandas/issues/58721,xfailed +tests.integ.modin.frame.test_merge,test_merge_on_index_multiindex_common_labels_with_none[right-True],pandas bug: https://github.com/pandas-dev/pandas/issues/58721,xfailed +tests.integ.modin.frame.test_merge,test_merge_on_index_multiindex_equal_labels[inner-False],pandas.errors.InvalidIndexError: Reindexing only valid with uniquely valued Index objects,failed +tests.integ.modin.frame.test_merge,test_merge_on_index_multiindex_equal_labels[inner-True],pandas.errors.InvalidIndexError: Reindexing only valid with uniquely valued Index objects,failed +tests.integ.modin.frame.test_merge,test_merge_on_index_multiindex_equal_labels[outer-False],pandas.errors.InvalidIndexError: Reindexing only valid with uniquely valued Index objects,failed +tests.integ.modin.frame.test_merge,test_merge_on_index_multiindex_equal_labels[outer-True],pandas.errors.InvalidIndexError: Reindexing only valid with uniquely valued Index objects,failed +tests.integ.modin.frame.test_merge,test_merge_on_index_single_index[outer-False],"AssertionError: DataFrame.index are different + +DataFrame.index values are different (28.57143 %) +[left]: Index([0, 1, 3, 2, 4, 8, 9], dtype='int64') +[right]: Index([0, 1, 2, 3, 4, 8, 9], dtype='int64') +At positional index 2, first diff: 3 != 2",failed +tests.integ.modin.frame.test_merge,test_merge_timedelta_how[kwargs3],"AssertionError: Regex pattern did not match. + Regex: ""You are trying to merge on LongType and TimedeltaType columns for key 'c'. If you wish to proceed you should use pd.concat"" + Input: ""You are trying to merge on int64 and timedelta64[ns] columns for key 'c'. If you wish to proceed you should use pd.concat""",failed +tests.integ.modin.frame.test_merge,test_merge_validate[lvalues0-rvalues0-1:1],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_merge,test_merge_validate[lvalues1-rvalues1-1:m],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_merge,test_merge_validate[lvalues2-rvalues2-m:1],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_merge,test_merge_validate[lvalues3-rvalues3-m:m],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_merge,test_merge_validate[lvalues4-rvalues4-1:m],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_merge,test_merge_validate[lvalues5-rvalues5-m:m],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_merge,test_merge_validate[lvalues6-rvalues6-m:1],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_merge,test_merge_validate[lvalues7-rvalues7-m:m],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_merge,test_merge_validate[lvalues8-rvalues8-m:m],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_merge,test_merge_validate_negative[lvalues0-rvalues0-1:1],pandas.errors.MergeError: Merge keys are not unique in right dataset; not a one-to-one merge,failed +tests.integ.modin.frame.test_merge,test_merge_validate_negative[lvalues1-rvalues1-m:1],pandas.errors.MergeError: Merge keys are not unique in right dataset; not a many-to-one merge,failed +tests.integ.modin.frame.test_merge,test_merge_validate_negative[lvalues2-rvalues2-1:1],pandas.errors.MergeError: Merge keys are not unique in left dataset; not a one-to-one merge,failed +tests.integ.modin.frame.test_merge,test_merge_validate_negative[lvalues3-rvalues3-1:m],pandas.errors.MergeError: Merge keys are not unique in left dataset; not a one-to-many merge,failed +tests.integ.modin.frame.test_merge,test_merge_validate_negative[lvalues4-rvalues4-1:1],pandas.errors.MergeError: Merge keys are not unique in either left or right dataset; not a one-to-one merge,failed +tests.integ.modin.frame.test_merge,test_merge_validate_negative[lvalues5-rvalues5-1:m],pandas.errors.MergeError: Merge keys are not unique in left dataset; not a one-to-many merge,failed +tests.integ.modin.frame.test_merge,test_merge_validate_negative[lvalues6-rvalues6-m:1],pandas.errors.MergeError: Merge keys are not unique in right dataset; not a many-to-one merge,failed +tests.integ.modin.frame.test_merge,test_merge_with_indicator[inner],"AssertionError: Categorical Expected type , found instead",failed +tests.integ.modin.frame.test_merge,test_merge_with_indicator[left],"AssertionError: Categorical Expected type , found instead",failed +tests.integ.modin.frame.test_merge,test_merge_with_indicator[outer],"AssertionError: Categorical Expected type , found instead",failed +tests.integ.modin.frame.test_merge,test_merge_with_indicator[right],"AssertionError: Categorical Expected type , found instead",failed +tests.integ.modin.frame.test_merge,test_merge_with_indicator_cross_join,"AssertionError: Categorical Expected type , found instead",failed +tests.integ.modin.frame.test_merge,test_merge_with_indicator_explicit_name,"AssertionError: Categorical Expected type , found instead",failed +tests.integ.modin.frame.test_nlargest_nsmallest,test_nlargest_nsmallest_all_keep_not_implemented[nlargest],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_nlargest_nsmallest,test_nlargest_nsmallest_all_keep_not_implemented[nsmallest],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_nlargest_nsmallest,test_nlargest_nsmallest_duplicate_labels[nlargest],AttributeError: 'DataFrame' object has no attribute 'dtype',failed +tests.integ.modin.frame.test_nlargest_nsmallest,test_nlargest_nsmallest_duplicate_labels[nsmallest],AttributeError: 'DataFrame' object has no attribute 'dtype',failed +tests.integ.modin.frame.test_nlargest_nsmallest,test_nlargest_nsmallest_invalid_label[nlargest-None],AssertionError: exception type does not match with expected type ,failed +tests.integ.modin.frame.test_nlargest_nsmallest,test_nlargest_nsmallest_invalid_label[nsmallest-None],AssertionError: exception type does not match with expected type ,failed +tests.integ.modin.frame.test_nlargest_nsmallest,test_nlargest_nsmallest_non_numeric_types[nlargest-data0],"TypeError: Column 'A' has dtype object, cannot use method 'nlargest' with this dtype",failed +tests.integ.modin.frame.test_nlargest_nsmallest,test_nlargest_nsmallest_non_numeric_types[nlargest-data1],TypeError: '<' not supported between instances of 'str' and 'float',failed +tests.integ.modin.frame.test_nlargest_nsmallest,test_nlargest_nsmallest_non_numeric_types[nsmallest-data0],"TypeError: Column 'A' has dtype object, cannot use method 'nsmallest' with this dtype",failed +tests.integ.modin.frame.test_nlargest_nsmallest,test_nlargest_nsmallest_non_numeric_types[nsmallest-data1],TypeError: '<' not supported between instances of 'str' and 'int',failed +tests.integ.modin.frame.test_nunique,test_dataframe_unique_axis1_not_implemented[False],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_nunique,test_dataframe_unique_axis1_not_implemented[True],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_nunique,test_dataframe_unique_dropna_negative,Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_pct_change,test_axis_0_with_timedelta[None--1],TypeError: unsupported operand type for /: got timedelta64[ns],failed +tests.integ.modin.frame.test_pct_change,test_axis_0_with_timedelta[None-0],TypeError: unsupported operand type for /: got timedelta64[ns],failed +tests.integ.modin.frame.test_pct_change,test_axis_0_with_timedelta[None-1],TypeError: unsupported operand type for /: got timedelta64[ns],failed +tests.integ.modin.frame.test_pct_change,test_axis_0_with_timedelta[None-2],TypeError: unsupported operand type for /: got timedelta64[ns],failed +tests.integ.modin.frame.test_pct_change,test_axis_0_with_timedelta[_NoDefault.no_default--1],TypeError: unsupported operand type for /: got timedelta64[ns],failed +tests.integ.modin.frame.test_pct_change,test_axis_0_with_timedelta[_NoDefault.no_default-0],TypeError: unsupported operand type for /: got timedelta64[ns],failed +tests.integ.modin.frame.test_pct_change,test_axis_0_with_timedelta[_NoDefault.no_default-1],TypeError: unsupported operand type for /: got timedelta64[ns],failed +tests.integ.modin.frame.test_pct_change,test_axis_0_with_timedelta[_NoDefault.no_default-2],TypeError: unsupported operand type for /: got timedelta64[ns],failed +tests.integ.modin.frame.test_pct_change,test_axis_0_with_timedelta[backfill--1],TypeError: unsupported operand type for /: got timedelta64[ns],failed +tests.integ.modin.frame.test_pct_change,test_axis_0_with_timedelta[backfill-0],TypeError: unsupported operand type for /: got timedelta64[ns],failed +tests.integ.modin.frame.test_pct_change,test_axis_0_with_timedelta[backfill-1],TypeError: unsupported operand type for /: got timedelta64[ns],failed +tests.integ.modin.frame.test_pct_change,test_axis_0_with_timedelta[backfill-2],TypeError: unsupported operand type for /: got timedelta64[ns],failed +tests.integ.modin.frame.test_pct_change,test_axis_0_with_timedelta[bfill--1],TypeError: unsupported operand type for /: got timedelta64[ns],failed +tests.integ.modin.frame.test_pct_change,test_axis_0_with_timedelta[bfill-0],TypeError: unsupported operand type for /: got timedelta64[ns],failed +tests.integ.modin.frame.test_pct_change,test_axis_0_with_timedelta[bfill-1],TypeError: unsupported operand type for /: got timedelta64[ns],failed +tests.integ.modin.frame.test_pct_change,test_axis_0_with_timedelta[bfill-2],TypeError: unsupported operand type for /: got timedelta64[ns],failed +tests.integ.modin.frame.test_pct_change,test_axis_0_with_timedelta[ffill--1],TypeError: unsupported operand type for /: got timedelta64[ns],failed +tests.integ.modin.frame.test_pct_change,test_axis_0_with_timedelta[ffill-0],TypeError: unsupported operand type for /: got timedelta64[ns],failed +tests.integ.modin.frame.test_pct_change,test_axis_0_with_timedelta[ffill-1],TypeError: unsupported operand type for /: got timedelta64[ns],failed +tests.integ.modin.frame.test_pct_change,test_axis_0_with_timedelta[ffill-2],TypeError: unsupported operand type for /: got timedelta64[ns],failed +tests.integ.modin.frame.test_pct_change,test_axis_0_with_timedelta[pad--1],TypeError: unsupported operand type for /: got timedelta64[ns],failed +tests.integ.modin.frame.test_pct_change,test_axis_0_with_timedelta[pad-0],TypeError: unsupported operand type for /: got timedelta64[ns],failed +tests.integ.modin.frame.test_pct_change,test_axis_0_with_timedelta[pad-1],TypeError: unsupported operand type for /: got timedelta64[ns],failed +tests.integ.modin.frame.test_pct_change,test_axis_0_with_timedelta[pad-2],TypeError: unsupported operand type for /: got timedelta64[ns],failed +tests.integ.modin.frame.test_pct_change,test_axis_1_with_timedelta_and_non_timedelta_column_invalid[data0],"AssertionError: Regex pattern did not match. + Regex: 'pct_change\\(axis=1\\)\\ is\\ invalid\\ when\\ one\\ column\\ is\\ Timedelta\\ another\\ column\\ is\\ not\\.' + Input: 'unsupported operand type for /: got timedelta64[ns]'",failed +tests.integ.modin.frame.test_pct_change,test_axis_1_with_timedelta_and_non_timedelta_column_invalid[data1],"AssertionError: Regex pattern did not match. + Regex: 'pct_change\\(axis=1\\)\\ is\\ invalid\\ when\\ one\\ column\\ is\\ Timedelta\\ another\\ column\\ is\\ not\\.' + Input: 'unsupported operand type for /: got timedelta64[ns]'",failed +tests.integ.modin.frame.test_pct_change,test_axis_1_with_timedelta_columns[None--1],TypeError: unsupported operand type for /: got timedelta64[ns],failed +tests.integ.modin.frame.test_pct_change,test_axis_1_with_timedelta_columns[None-0],TypeError: unsupported operand type for /: got timedelta64[ns],failed +tests.integ.modin.frame.test_pct_change,test_axis_1_with_timedelta_columns[None-1],TypeError: unsupported operand type for /: got timedelta64[ns],failed +tests.integ.modin.frame.test_pct_change,test_axis_1_with_timedelta_columns[None-2],TypeError: unsupported operand type for /: got timedelta64[ns],failed +tests.integ.modin.frame.test_pct_change,test_axis_1_with_timedelta_columns[_NoDefault.no_default--1],TypeError: unsupported operand type for /: got timedelta64[ns],failed +tests.integ.modin.frame.test_pct_change,test_axis_1_with_timedelta_columns[_NoDefault.no_default-0],TypeError: unsupported operand type for /: got timedelta64[ns],failed +tests.integ.modin.frame.test_pct_change,test_axis_1_with_timedelta_columns[_NoDefault.no_default-1],TypeError: unsupported operand type for /: got timedelta64[ns],failed +tests.integ.modin.frame.test_pct_change,test_axis_1_with_timedelta_columns[_NoDefault.no_default-2],TypeError: unsupported operand type for /: got timedelta64[ns],failed +tests.integ.modin.frame.test_pct_change,test_axis_1_with_timedelta_columns[backfill--1],TypeError: unsupported operand type for /: got timedelta64[ns],failed +tests.integ.modin.frame.test_pct_change,test_axis_1_with_timedelta_columns[backfill-0],TypeError: unsupported operand type for /: got timedelta64[ns],failed +tests.integ.modin.frame.test_pct_change,test_axis_1_with_timedelta_columns[backfill-1],TypeError: unsupported operand type for /: got timedelta64[ns],failed +tests.integ.modin.frame.test_pct_change,test_axis_1_with_timedelta_columns[backfill-2],TypeError: unsupported operand type for /: got timedelta64[ns],failed +tests.integ.modin.frame.test_pct_change,test_axis_1_with_timedelta_columns[bfill--1],TypeError: unsupported operand type for /: got timedelta64[ns],failed +tests.integ.modin.frame.test_pct_change,test_axis_1_with_timedelta_columns[bfill-0],TypeError: unsupported operand type for /: got timedelta64[ns],failed +tests.integ.modin.frame.test_pct_change,test_axis_1_with_timedelta_columns[bfill-1],TypeError: unsupported operand type for /: got timedelta64[ns],failed +tests.integ.modin.frame.test_pct_change,test_axis_1_with_timedelta_columns[bfill-2],TypeError: unsupported operand type for /: got timedelta64[ns],failed +tests.integ.modin.frame.test_pct_change,test_axis_1_with_timedelta_columns[ffill--1],TypeError: unsupported operand type for /: got timedelta64[ns],failed +tests.integ.modin.frame.test_pct_change,test_axis_1_with_timedelta_columns[ffill-0],TypeError: unsupported operand type for /: got timedelta64[ns],failed +tests.integ.modin.frame.test_pct_change,test_axis_1_with_timedelta_columns[ffill-1],TypeError: unsupported operand type for /: got timedelta64[ns],failed +tests.integ.modin.frame.test_pct_change,test_axis_1_with_timedelta_columns[ffill-2],TypeError: unsupported operand type for /: got timedelta64[ns],failed +tests.integ.modin.frame.test_pct_change,test_axis_1_with_timedelta_columns[pad--1],TypeError: unsupported operand type for /: got timedelta64[ns],failed +tests.integ.modin.frame.test_pct_change,test_axis_1_with_timedelta_columns[pad-0],TypeError: unsupported operand type for /: got timedelta64[ns],failed +tests.integ.modin.frame.test_pct_change,test_axis_1_with_timedelta_columns[pad-1],TypeError: unsupported operand type for /: got timedelta64[ns],failed +tests.integ.modin.frame.test_pct_change,test_axis_1_with_timedelta_columns[pad-2],TypeError: unsupported operand type for /: got timedelta64[ns],failed +tests.integ.modin.frame.test_pct_change,test_pct_change_bad_dtypes[data0],"AssertionError: Regex pattern did not match. + Regex: 'cannot perform pct_change on non-numeric column with dtype' + Input: 'unsupported operand type for /: got object'",failed +tests.integ.modin.frame.test_pct_change,test_pct_change_bad_dtypes[data1],"AssertionError: Regex pattern did not match. + Regex: 'cannot perform pct_change on non-numeric column with dtype' + Input: 'unsupported operand type for /: got object'",failed +tests.integ.modin.frame.test_pct_change,test_pct_change_bad_periods,ValueError: periods must be an int. got instead,failed +tests.integ.modin.frame.test_pct_change,test_pct_change_simple[columns-_NoDefault.no_default--1-nonulls],"Failed: DID NOT WARN. No warnings of type (,) were emitted. +The list of emitted warnings is: [].",failed +tests.integ.modin.frame.test_pct_change,test_pct_change_simple[columns-_NoDefault.no_default-0-nonulls],"Failed: DID NOT WARN. No warnings of type (,) were emitted. +The list of emitted warnings is: [].",failed +tests.integ.modin.frame.test_pct_change,test_pct_change_simple[columns-_NoDefault.no_default-1-nonulls],"Failed: DID NOT WARN. No warnings of type (,) were emitted. +The list of emitted warnings is: [].",failed +tests.integ.modin.frame.test_pct_change,test_pct_change_simple[columns-_NoDefault.no_default-2-nonulls],"Failed: DID NOT WARN. No warnings of type (,) were emitted. +The list of emitted warnings is: [].",failed +tests.integ.modin.frame.test_pct_change,test_pct_change_simple[rows-_NoDefault.no_default--1-nonulls],"Failed: DID NOT WARN. No warnings of type (,) were emitted. +The list of emitted warnings is: [].",failed +tests.integ.modin.frame.test_pct_change,test_pct_change_simple[rows-_NoDefault.no_default-0-nonulls],"Failed: DID NOT WARN. No warnings of type (,) were emitted. +The list of emitted warnings is: [].",failed +tests.integ.modin.frame.test_pct_change,test_pct_change_simple[rows-_NoDefault.no_default-1-nonulls],"Failed: DID NOT WARN. No warnings of type (,) were emitted. +The list of emitted warnings is: [].",failed +tests.integ.modin.frame.test_pct_change,test_pct_change_simple[rows-_NoDefault.no_default-2-nonulls],"Failed: DID NOT WARN. No warnings of type (,) were emitted. +The list of emitted warnings is: [].",failed +tests.integ.modin.frame.test_pct_change,test_pct_change_unsupported_args[params0],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_quantile,test_quantile_datetime_negative,Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_quantile,test_quantile_unsupported_args_negative[table-higher-0],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_quantile,test_quantile_unsupported_args_negative[table-higher-1],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_quantile,test_quantile_unsupported_args_negative[table-lower-0],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_quantile,test_quantile_unsupported_args_negative[table-lower-1],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_quantile,test_quantile_unsupported_args_negative[table-midpoint-0],"ValueError: Invalid interpolation: midpoint. Interpolation must be in {'lower', 'nearest', 'higher'}",failed +tests.integ.modin.frame.test_quantile,test_quantile_unsupported_args_negative[table-midpoint-1],"ValueError: Invalid interpolation: midpoint. Interpolation must be in {'lower', 'nearest', 'higher'}",failed +tests.integ.modin.frame.test_rank,test_rank_unsupported_args_negative[bottom-False-average],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_rank,test_rank_unsupported_args_negative[bottom-False-dense],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_rank,test_rank_unsupported_args_negative[bottom-False-first],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_rank,test_rank_unsupported_args_negative[bottom-False-max],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_rank,test_rank_unsupported_args_negative[bottom-False-min],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_rank,test_rank_unsupported_args_negative[bottom-True-average],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_rank,test_rank_unsupported_args_negative[bottom-True-dense],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_rank,test_rank_unsupported_args_negative[bottom-True-first],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_rank,test_rank_unsupported_args_negative[bottom-True-max],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_rank,test_rank_unsupported_args_negative[bottom-True-min],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_rank,test_rank_unsupported_args_negative[keep-False-average],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_rank,test_rank_unsupported_args_negative[keep-False-dense],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_rank,test_rank_unsupported_args_negative[keep-False-first],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_rank,test_rank_unsupported_args_negative[keep-False-max],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_rank,test_rank_unsupported_args_negative[keep-False-min],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_rank,test_rank_unsupported_args_negative[keep-True-average],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_rank,test_rank_unsupported_args_negative[keep-True-dense],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_rank,test_rank_unsupported_args_negative[keep-True-first],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_rank,test_rank_unsupported_args_negative[keep-True-max],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_rank,test_rank_unsupported_args_negative[keep-True-min],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_rank,test_rank_unsupported_args_negative[top-False-average],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_rank,test_rank_unsupported_args_negative[top-False-dense],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_rank,test_rank_unsupported_args_negative[top-False-first],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_rank,test_rank_unsupported_args_negative[top-False-max],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_rank,test_rank_unsupported_args_negative[top-False-min],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_rank,test_rank_unsupported_args_negative[top-True-average],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_rank,test_rank_unsupported_args_negative[top-True-dense],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_rank,test_rank_unsupported_args_negative[top-True-first],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_rank,test_rank_unsupported_args_negative[top-True-max],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_rank,test_rank_unsupported_args_negative[top-True-min],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_reindex,test_reindex_index_duplicate_values[new_index0],ValueError: cannot reindex on an axis with duplicate labels,failed +tests.integ.modin.frame.test_reindex,test_reindex_index_duplicate_values[new_index1],ValueError: cannot reindex on an axis with duplicate labels,failed +tests.integ.modin.frame.test_reindex,test_reindex_index_duplicate_values[new_index2],ValueError: cannot reindex on an axis with duplicate labels,failed +tests.integ.modin.frame.test_reindex,test_reindex_index_duplicate_values[new_index3],ValueError: cannot reindex on an axis with duplicate labels,failed +tests.integ.modin.frame.test_reindex,test_reindex_index_fill_method_pandas_negative[1-backfill],ValueError: limit argument for 'backfill' method only well-defined if index and target are monotonic,failed +tests.integ.modin.frame.test_reindex,test_reindex_index_fill_method_pandas_negative[1-bfill],ValueError: limit argument for 'backfill' method only well-defined if index and target are monotonic,failed +tests.integ.modin.frame.test_reindex,test_reindex_index_fill_method_pandas_negative[1-ffill],ValueError: limit argument for 'pad' method only well-defined if index and target are monotonic,failed +tests.integ.modin.frame.test_reindex,test_reindex_index_fill_method_pandas_negative[1-pad],ValueError: limit argument for 'pad' method only well-defined if index and target are monotonic,failed +tests.integ.modin.frame.test_reindex,test_reindex_index_fill_method_pandas_negative[100-backfill],ValueError: limit argument for 'backfill' method only well-defined if index and target are monotonic,failed +tests.integ.modin.frame.test_reindex,test_reindex_index_fill_method_pandas_negative[100-bfill],ValueError: limit argument for 'backfill' method only well-defined if index and target are monotonic,failed +tests.integ.modin.frame.test_reindex,test_reindex_index_fill_method_pandas_negative[100-ffill],ValueError: limit argument for 'pad' method only well-defined if index and target are monotonic,failed +tests.integ.modin.frame.test_reindex,test_reindex_index_fill_method_pandas_negative[100-pad],ValueError: limit argument for 'pad' method only well-defined if index and target are monotonic,failed +tests.integ.modin.frame.test_reindex,test_reindex_index_fill_method_pandas_negative[2-backfill],ValueError: limit argument for 'backfill' method only well-defined if index and target are monotonic,failed +tests.integ.modin.frame.test_reindex,test_reindex_index_fill_method_pandas_negative[2-bfill],ValueError: limit argument for 'backfill' method only well-defined if index and target are monotonic,failed +tests.integ.modin.frame.test_reindex,test_reindex_index_fill_method_pandas_negative[2-ffill],ValueError: limit argument for 'pad' method only well-defined if index and target are monotonic,failed +tests.integ.modin.frame.test_reindex,test_reindex_index_fill_method_pandas_negative[2-pad],ValueError: limit argument for 'pad' method only well-defined if index and target are monotonic,failed +tests.integ.modin.frame.test_reindex,test_reindex_index_fill_method_with_old_na_values_pandas_negative[backfill-100],Cannot qualify window in fillna.,xfailed +tests.integ.modin.frame.test_reindex,test_reindex_index_fill_method_with_old_na_values_pandas_negative[backfill-1],Cannot qualify window in fillna.,xfailed +tests.integ.modin.frame.test_reindex,test_reindex_index_fill_method_with_old_na_values_pandas_negative[backfill-2],Cannot qualify window in fillna.,xfailed +tests.integ.modin.frame.test_reindex,test_reindex_index_fill_method_with_old_na_values_pandas_negative[bfill-100],Cannot qualify window in fillna.,xfailed +tests.integ.modin.frame.test_reindex,test_reindex_index_fill_method_with_old_na_values_pandas_negative[bfill-1],Cannot qualify window in fillna.,xfailed +tests.integ.modin.frame.test_reindex,test_reindex_index_fill_method_with_old_na_values_pandas_negative[bfill-2],Cannot qualify window in fillna.,xfailed +tests.integ.modin.frame.test_reindex,test_reindex_index_fill_method_with_old_na_values_pandas_negative[ffill-100],Cannot qualify window in fillna.,xfailed +tests.integ.modin.frame.test_reindex,test_reindex_index_fill_method_with_old_na_values_pandas_negative[ffill-1],Cannot qualify window in fillna.,xfailed +tests.integ.modin.frame.test_reindex,test_reindex_index_fill_method_with_old_na_values_pandas_negative[ffill-2],Cannot qualify window in fillna.,xfailed +tests.integ.modin.frame.test_reindex,test_reindex_index_fill_method_with_old_na_values_pandas_negative[pad-100],Cannot qualify window in fillna.,xfailed +tests.integ.modin.frame.test_reindex,test_reindex_index_fill_method_with_old_na_values_pandas_negative[pad-1],Cannot qualify window in fillna.,xfailed +tests.integ.modin.frame.test_reindex,test_reindex_index_fill_method_with_old_na_values_pandas_negative[pad-2],Cannot qualify window in fillna.,xfailed +tests.integ.modin.frame.test_reindex,test_reindex_index_non_overlapping_different_types_index_negative,Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_reindex,test_reindex_multiindex_negative[0],"ValueError: Buffer dtype mismatch, expected 'Python object' but got 'long'",failed +tests.integ.modin.frame.test_reindex,test_reindex_multiindex_negative[1],"ValueError: Buffer dtype mismatch, expected 'Python object' but got 'long'",failed +tests.integ.modin.frame.test_reindex,test_reindex_timedelta_axis_0_negative,[XPASS(strict)] ,failed +tests.integ.modin.frame.test_reindex,test_reindex_timedelta_axis_1_negative,[XPASS(strict)] ,failed +tests.integ.modin.frame.test_rename,test_rename,"AssertionError: Index are different Attribute ""names"" are different [left]: [None] -[right]: ['index']",failed -11049,tests.integ.modin.frame.test_loc,test_df_loc_get_key_slice[False-1-4-1],"AssertionError: DataFrame are different +[right]: ['name']",failed +tests.integ.modin.frame.test_rename,test_rename_axis_style_not_implemented,Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_rename,test_rename_copy_warning,"AssertionError: assert 'The argument `copy` of `dataframe.rename` has been ignored by Snowpark pandas API' in '' + + where '' = <_pytest.logging.LogCaptureFixture object at 0x331c28dc0>.text",failed +tests.integ.modin.frame.test_rename,test_rename_mapper_multi,Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_rename,test_rename_mi[DataFrame],Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_rename,test_rename_multiindex_not_implemented,Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_rename,test_rename_positional_named,Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_rename,test_rename_str_upper_not_implemented,Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_replace,test_replace_frame_with_timedelta_index_or_column_negative[pandas_df0],[XPASS(strict)] ,failed +tests.integ.modin.frame.test_replace,test_replace_frame_with_timedelta_index_or_column_negative[pandas_df1],[XPASS(strict)] ,failed +tests.integ.modin.frame.test_replace,test_replace_integer_value_with_timedelta_negative[to_replace_dict_with_datetime_timedelta],[XPASS(strict)] ,failed +tests.integ.modin.frame.test_replace,test_replace_integer_value_with_timedelta_negative[to_replace_dict_with_numpy_timedelta],[XPASS(strict)] ,failed +tests.integ.modin.frame.test_replace,test_replace_integer_value_with_timedelta_negative[to_replace_dict_with_pandas_timedelta],[XPASS(strict)] ,failed +tests.integ.modin.frame.test_replace,test_replace_integer_value_with_timedelta_negative[value_timedelta_list],[XPASS(strict)] ,failed +tests.integ.modin.frame.test_replace,test_replace_integer_value_with_timedelta_negative[value_timedelta_scalar],[XPASS(strict)] ,failed +tests.integ.modin.frame.test_replace,test_replace_limit_negative,Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_replace,test_replace_method_negative,Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_replace,test_replace_no_value_negative,Failed: DID NOT RAISE ,failed +tests.integ.modin.frame.test_repr,test_repr_and_repr_html_issue_same_query[native_df0-1],"assert 0 == 2 + + where 0 = len([]) + + where [] = .queries",failed +tests.integ.modin.frame.test_repr,test_repr_and_repr_html_issue_same_query[native_df1-1],"assert 0 == 2 + + where 0 = len([]) + + where [] = .queries",failed +tests.integ.modin.frame.test_repr,test_repr_and_repr_html_issue_same_query[native_df2-4],"assert 0 == 2 + + where 0 = len([]) + + where [] = .queries",failed +tests.integ.modin.frame.test_repr,test_repr_and_repr_html_issue_same_query[native_df3-1],"assert 0 == 2 + + where 0 = len([]) + + where [] = .queries",failed +tests.integ.modin.frame.test_repr,test_repr_and_repr_html_issue_same_query[native_df4-4],"assert 0 == 2 + + where 0 = len([]) + + where [] = .queries",failed +tests.integ.modin.frame.test_repr,test_repr_and_repr_html_issue_same_query[native_df5-1],"assert 0 == 2 + + where 0 = len([]) + + where [] = .queries",failed +tests.integ.modin.frame.test_repr,test_repr_and_repr_html_issue_same_query[native_df6-1],"assert 0 == 2 + + where 0 = len([]) + + where [] = .queries",failed +tests.integ.modin.frame.test_repr,test_repr_and_repr_html_issue_same_query[native_df7-4],"assert 0 == 2 + + where 0 = len([]) + + where [] = .queries",failed +tests.integ.modin.frame.test_repr,test_repr_html[native_df2-4],"AssertionError: assert '
\n\n
' == '
\n\n
' +
+