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Palmer" <rebecca_palmer@zoho.com> Subject: apache-arrow: fails tests with pandas 3.0 Content-Type: text/plain; charset=UTF-8; format=flowed Content-Transfer-Encoding: 7bit Feedback-ID: zu0801122623509bc44689ed72229dbc1000005ceb624e47484b951442ddeec4234a3b5b9a27f84edb22e6:ZohoMail X-Zoho-CM-AccountID: 4657820584e87eac972c81cdc0e94217a0038e66b74387992715bf811d6e5e7b X-ZohoMailClient: External Delivered-To: submit@bugs.debian.org Source: apache-arrow Version: 23.0.1-11 Control: block 1141694 by -1 apache-arrow fails autopkgtests with pandas 3.0 (in experimental): https://ci.debian.net/packages/a/apache-arrow/unstable/amd64/73190584/ I haven't tried the newer apache-arrow in experimental. I'm not sure exactly what the problem is but it looks datetime-related. Upstream release notes: https://pandas.pydata.org/docs/whatsnew/v3.0.0.html 204s 204s =================================== FAILURES =================================== 204s _______ test_timestamp_as_object_non_nanosecond[dt0-America/New_York-s] ________ 204s 204s resolution = 's', tz = 'America/New_York' 204s dt = datetime.datetime(1553, 1, 1, 0, 0) 204s 204s @pytest.mark.parametrize("resolution", ["s", "ms", "us"]) 204s @pytest.mark.parametrize("tz", [None, "America/New_York"]) 204s # One datetime outside nanosecond range, one inside nanosecond range: 204s @pytest.mark.parametrize("dt", [datetime(1553, 1, 1), datetime(2020, 1, 1)]) 204s def test_timestamp_as_object_non_nanosecond(resolution, tz, dt): 204s # Timestamps can be converted Arrow and reloaded into Pandas with no loss 204s # of information if the timestamp_as_object option is True. 204s arr = pa.array([dt], type=pa.timestamp(resolution, tz=tz)) 204s table = pa.table({'a': arr}) 204s 204s for result in [ 204s arr.to_pandas(timestamp_as_object=True), 204s table.to_pandas(timestamp_as_object=True)['a'] 204s ]: 204s assert result.dtype == object 204s assert isinstance(result[0], datetime) 204s if tz: 204s assert result[0].tzinfo is not None 204s > expected = result[0].tzinfo.fromutc(dt) 204s ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 204s E ValueError: fromutc: dt.tzinfo is not self 204s 204s /usr/lib/python3/dist-packages/pyarrow/tests/test_pandas.py:4970: ValueError 204s _______ test_timestamp_as_object_non_nanosecond[dt0-America/New_York-ms] _______ 204s 204s resolution = 'ms', tz = 'America/New_York' 204s dt = datetime.datetime(1553, 1, 1, 0, 0) 204s 204s @pytest.mark.parametrize("resolution", ["s", "ms", "us"]) 204s @pytest.mark.parametrize("tz", [None, "America/New_York"]) 204s # One datetime outside nanosecond range, one inside nanosecond range: 204s @pytest.mark.parametrize("dt", [datetime(1553, 1, 1), datetime(2020, 1, 1)]) 204s def test_timestamp_as_object_non_nanosecond(resolution, tz, dt): 204s # Timestamps can be converted Arrow and reloaded into Pandas with no loss 204s # of information if the timestamp_as_object option is True. 204s arr = pa.array([dt], type=pa.timestamp(resolution, tz=tz)) 204s table = pa.table({'a': arr}) 204s 204s for result in [ 204s arr.to_pandas(timestamp_as_object=True), 204s table.to_pandas(timestamp_as_object=True)['a'] 204s ]: 204s assert result.dtype == object 204s assert isinstance(result[0], datetime) 204s if tz: 204s assert result[0].tzinfo is not None 204s > expected = result[0].tzinfo.fromutc(dt) 204s ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 204s E ValueError: fromutc: dt.tzinfo is not self 204s 204s /usr/lib/python3/dist-packages/pyarrow/tests/test_pandas.py:4970: ValueError 204s _______ test_timestamp_as_object_non_nanosecond[dt0-America/New_York-us] _______ 204s 204s resolution = 'us', tz = 'America/New_York' 204s dt = datetime.datetime(1553, 1, 1, 0, 0) 204s 204s @pytest.mark.parametrize("resolution", ["s", "ms", "us"]) 204s @pytest.mark.parametrize("tz", [None, "America/New_York"]) 204s # One datetime outside nanosecond range, one inside nanosecond range: 204s @pytest.mark.parametrize("dt", [datetime(1553, 1, 1), datetime(2020, 1, 1)]) 204s def test_timestamp_as_object_non_nanosecond(resolution, tz, dt): 204s # Timestamps can be converted Arrow and reloaded into Pandas with no loss 204s # of information if the timestamp_as_object option is True. 204s arr = pa.array([dt], type=pa.timestamp(resolution, tz=tz)) 204s table = pa.table({'a': arr}) 204s 204s for result in [ 204s arr.to_pandas(timestamp_as_object=True), 204s table.to_pandas(timestamp_as_object=True)['a'] 204s ]: 204s assert result.dtype == object 204s assert isinstance(result[0], datetime) 204s if tz: 204s assert result[0].tzinfo is not None 204s > expected = result[0].tzinfo.fromutc(dt) 204s ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 204s E ValueError: fromutc: dt.tzinfo is not self 204s 204s /usr/lib/python3/dist-packages/pyarrow/tests/test_pandas.py:4970: ValueError 204s _______ test_timestamp_as_object_non_nanosecond[dt1-America/New_York-s] ________ 204s 204s resolution = 's', tz = 'America/New_York' 204s dt = datetime.datetime(2020, 1, 1, 0, 0) 204s 204s @pytest.mark.parametrize("resolution", ["s", "ms", "us"]) 204s @pytest.mark.parametrize("tz", [None, "America/New_York"]) 204s # One datetime outside nanosecond range, one inside nanosecond range: 204s @pytest.mark.parametrize("dt", [datetime(1553, 1, 1), datetime(2020, 1, 1)]) 204s def test_timestamp_as_object_non_nanosecond(resolution, tz, dt): 204s # Timestamps can be converted Arrow and reloaded into Pandas with no loss 204s # of information if the timestamp_as_object option is True. 204s arr = pa.array([dt], type=pa.timestamp(resolution, tz=tz)) 204s table = pa.table({'a': arr}) 204s 204s for result in [ 204s arr.to_pandas(timestamp_as_object=True), 204s table.to_pandas(timestamp_as_object=True)['a'] 204s ]: 204s assert result.dtype == object 204s assert isinstance(result[0], datetime) 204s if tz: 204s assert result[0].tzinfo is not None 204s > expected = result[0].tzinfo.fromutc(dt) 204s ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 204s E ValueError: fromutc: dt.tzinfo is not self 204s 204s /usr/lib/python3/dist-packages/pyarrow/tests/test_pandas.py:4970: ValueError 204s _______ test_timestamp_as_object_non_nanosecond[dt1-America/New_York-ms] _______ 204s 204s resolution = 'ms', tz = 'America/New_York' 204s dt = datetime.datetime(2020, 1, 1, 0, 0) 204s 204s @pytest.mark.parametrize("resolution", ["s", "ms", "us"]) 204s @pytest.mark.parametrize("tz", [None, "America/New_York"]) 204s # One datetime outside nanosecond range, one inside nanosecond range: 204s @pytest.mark.parametrize("dt", [datetime(1553, 1, 1), datetime(2020, 1, 1)]) 204s def test_timestamp_as_object_non_nanosecond(resolution, tz, dt): 204s # Timestamps can be converted Arrow and reloaded into Pandas with no loss 204s # of information if the timestamp_as_object option is True. 204s arr = pa.array([dt], type=pa.timestamp(resolution, tz=tz)) 204s table = pa.table({'a': arr}) 204s 204s for result in [ 204s arr.to_pandas(timestamp_as_object=True), 204s table.to_pandas(timestamp_as_object=True)['a'] 204s ]: 204s assert result.dtype == object 204s assert isinstance(result[0], datetime) 204s if tz: 204s assert result[0].tzinfo is not None 204s > expected = result[0].tzinfo.fromutc(dt) 204s ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 204s E ValueError: fromutc: dt.tzinfo is not self 204s 204s /usr/lib/python3/dist-packages/pyarrow/tests/test_pandas.py:4970: ValueError 204s _______ test_timestamp_as_object_non_nanosecond[dt1-America/New_York-us] _______ 204s 204s resolution = 'us', tz = 'America/New_York' 204s dt = datetime.datetime(2020, 1, 1, 0, 0) 204s 204s @pytest.mark.parametrize("resolution", ["s", "ms", "us"]) 204s @pytest.mark.parametrize("tz", [None, "America/New_York"]) 204s # One datetime outside nanosecond range, one inside nanosecond range: 204s @pytest.mark.parametrize("dt", [datetime(1553, 1, 1), datetime(2020, 1, 1)]) 204s def test_timestamp_as_object_non_nanosecond(resolution, tz, dt): 204s # Timestamps can be converted Arrow and reloaded into Pandas with no loss 204s # of information if the timestamp_as_object option is True. 204s arr = pa.array([dt], type=pa.timestamp(resolution, tz=tz)) 204s table = pa.table({'a': arr}) 204s 204s for result in [ 204s arr.to_pandas(timestamp_as_object=True), 204s table.to_pandas(timestamp_as_object=True)['a'] 204s ]: 204s assert result.dtype == object 204s assert isinstance(result[0], datetime) 204s if tz: 204s assert result[0].tzinfo is not None 204s > expected = result[0].tzinfo.fromutc(dt) 204s ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 204s E ValueError: fromutc: dt.tzinfo is not self 204s 204s /usr/lib/python3/dist-packages/pyarrow/tests/test_pandas.py:4970: ValueError ]