SNOW-1628820 remove timedelta warning message (#2178)

SNOW-1628820 remove timedelta warning message and update notebooks

src/snowflake/snowpark/modin/plugin/_internal/snowpark_pandas_types.py

@@ -12,13 +12,8 @@
 import pandas as native_pd
 
 from snowflake.snowpark.column import Column
-from snowflake.snowpark.modin.plugin.utils.warning_message import WarningMessage
 from snowflake.snowpark.types import DataType, LongType
 
-TIMEDELTA_WARNING_MESSAGE = (
-    "Snowpark pandas support for Timedelta is not currently available."
-)
-
 """Map Python type to its from_pandas method"""
 _python_type_to_from_pandas: dict[type, Callable[[Any], Any]] = {}
 
@@ -128,9 +123,6 @@ class TimedeltaType(SnowparkPandasType, LongType):
     )
 
     def __init__(self) -> None:
-        # TODO(SNOW-1620452): Remove this warning message before releasing
-        # Timedelta support.
-        WarningMessage.single_warning(TIMEDELTA_WARNING_MESSAGE)
         super().__init__()
 
     @staticmethod

tests/integ/modin/types/test_timedelta.py

@@ -2,15 +2,11 @@
 # Copyright (c) 2012-2024 Snowflake Computing Inc. All rights reserved.
 #
 import datetime
-import logging
 
 import modin.pandas as pd
 import pandas as native_pd
 import pytest
 
-from snowflake.snowpark.modin.plugin._internal.snowpark_pandas_types import (
-    TIMEDELTA_WARNING_MESSAGE,
-)
 from tests.integ.modin.sql_counter import sql_count_checker
 from tests.integ.modin.utils import (
     assert_series_equal,
@@ -21,13 +17,11 @@
 
 
 @sql_count_checker(query_count=1)
-def test_create_timedelta_column_from_pandas_timedelta(caplog):
+def test_create_timedelta_column_from_pandas_timedelta():
     pandas_df = native_pd.DataFrame(
         {"timedelta_column": [native_pd.Timedelta(nanoseconds=1)], "int_column": [3]}
     )
-    with caplog.at_level(logging.DEBUG):
-        snow_df = pd.DataFrame(pandas_df)
-    assert TIMEDELTA_WARNING_MESSAGE in caplog.text
+    snow_df = pd.DataFrame(pandas_df)
     eval_snowpark_pandas_result(snow_df, pandas_df, lambda df: df)