2021-11-07T01:55:03.7000257Z ##[section]Starting: Test
2021-11-07T01:55:03.7141325Z ==============================================================================
2021-11-07T01:55:03.7141958Z Task         : Bash
2021-11-07T01:55:03.7142315Z Description  : Run a Bash script on macOS, Linux, or Windows
2021-11-07T01:55:03.7142926Z Version      : 3.189.0
2021-11-07T01:55:03.7143284Z Author       : Microsoft Corporation
2021-11-07T01:55:03.7143701Z Help         : https://docs.microsoft.com/azure/devops/pipelines/tasks/utility/bash
2021-11-07T01:55:03.7144204Z ==============================================================================
2021-11-07T01:55:03.9289364Z Generating script.
2021-11-07T01:55:03.9458134Z [command]"C:\Program Files\Git\bin\bash.exe" --noprofile --norc -c pwd
2021-11-07T01:55:04.0061581Z /d/a/_temp
2021-11-07T01:55:04.7564651Z ========================== Starting Command Output ===========================
2021-11-07T01:55:04.7569013Z [command]"C:\Program Files\Git\bin\bash.exe" --noprofile --norc /d/a/_temp/95c6fb42-b094-43ce-b3ca-fadceb105102.sh
2021-11-07T01:55:04.8031031Z Caption                               DeviceID  MaxClockSpeed  Name                                           NumberOfCores  
2021-11-07T01:55:04.8034242Z 
2021-11-07T01:55:04.8038378Z Intel64 Family 6 Model 85 Stepping 4  CPU0      2095           Intel(R) Xeon(R) Platinum 8171M CPU @ 2.60GHz  2              
2021-11-07T01:55:04.8042560Z 
2021-11-07T01:55:04.8043405Z 
2021-11-07T01:55:04.8044039Z 
2021-11-07T01:55:05.0833998Z pytest -m "not slow and not network" -n 2 --dist=loadfile pandas/tests/api pandas/tests/apply pandas/tests/arithmetic pandas/tests/arrays pandas/tests/base pandas/tests/computation pandas/tests/config pandas/tests/construction pandas/tests/dtypes pandas/tests/extension pandas/tests/frame pandas/tests/generic pandas/tests/groupby --ignore=pandas/tests/plotting/
2021-11-07T01:55:45.3308584Z ============================= test session starts =============================
2021-11-07T01:55:45.3926614Z platform win32 -- Python 3.8.12, pytest-6.2.5, py-1.10.0, pluggy-1.0.0
2021-11-07T01:55:45.4094847Z rootdir: D:\a\1\s, configfile: pyproject.toml
2021-11-07T01:55:45.4298251Z plugins: hypothesis-6.24.2, azurepipelines-0.8.0, forked-1.3.0, xdist-2.4.0
2021-11-07T01:55:45.4469452Z gw0 I / gw1 I
2021-11-07T01:55:45.4583905Z gw0 [75765] / gw1 [75765]
2021-11-07T01:55:45.4602349Z 
2021-11-07T02:05:18.2087667Z Result Attachments will be stored in LogStore
2021-11-07T02:05:18.2949544Z Run Attachments will be stored in LogStore
2021-11-07T02:05:19.2501409Z ##[error]70 test(s) failed, 75765 test(s) collected.
2021-11-07T02:05:19.2528401Z Skipping uploading of coverage data.
2021-11-07T02:05:19.2528940Z 
2021-11-07T02:05:19.2529388Z ================================== FAILURES ===================================
2021-11-07T02:05:19.2529956Z _______________ TestDatetimeArray.test_take_fill_valid[None-D] ________________
2021-11-07T02:05:19.2531444Z [gw0] win32 -- Python 3.8.12 C:\Miniconda\envs\pandas-dev\python.exe
2021-11-07T02:05:19.2531924Z 
2021-11-07T02:05:19.2532544Z self = <pandas.tests.arrays.test_datetimelike.TestDatetimeArray object at 0x000001E0FE9C0CA0>
2021-11-07T02:05:19.2533167Z arr1d = <DatetimeArray>
2021-11-07T02:05:19.2533851Z ['2016-01-01 01:01:00', '2016-01-02 01:01:00', '2016-01-03 01:01:00',
2021-11-07T02:05:19.2534571Z  '2016-01-04 01:01:00', '2016-01-05 01:01:00']
2021-11-07T02:05:19.2535150Z Length: 5, dtype: datetime64[ns]
2021-11-07T02:05:19.2535479Z 
2021-11-07T02:05:19.2535924Z     def test_take_fill_valid(self, arr1d):
2021-11-07T02:05:19.2536337Z         arr = arr1d
2021-11-07T02:05:19.2536735Z         dti = self.index_cls(arr1d)
2021-11-07T02:05:19.2537103Z     
2021-11-07T02:05:19.2537479Z         now = Timestamp.now().tz_localize(dti.tz)
2021-11-07T02:05:19.2538262Z         result = arr.take([-1, 1], allow_fill=True, fill_value=now)
2021-11-07T02:05:19.2538836Z         assert result[0] == now
2021-11-07T02:05:19.2539319Z     
2021-11-07T02:05:19.2539866Z         msg = f"value should be a '{arr1d._scalar_type.__name__}' or 'NaT'. Got"
2021-11-07T02:05:19.2542707Z         with pytest.raises(TypeError, match=msg):
2021-11-07T02:05:19.2543301Z             # fill_value Timedelta invalid
2021-11-07T02:05:19.2544310Z             arr.take([-1, 1], allow_fill=True, fill_value=now - now)
2021-11-07T02:05:19.2544864Z     
2021-11-07T02:05:19.2545384Z         with pytest.raises(TypeError, match=msg):
2021-11-07T02:05:19.2545881Z             # fill_value Period invalid
2021-11-07T02:05:19.2546710Z             arr.take([-1, 1], allow_fill=True, fill_value=Period("2014Q1"))
2021-11-07T02:05:19.2547279Z     
2021-11-07T02:05:19.2547790Z         tz = None if dti.tz is not None else "US/Eastern"
2021-11-07T02:05:19.2548391Z >       now = Timestamp.now().tz_localize(tz)
2021-11-07T02:05:19.2548731Z 
2021-11-07T02:05:19.2549269Z pandas\tests\arrays\test_datetimelike.py:862: 
2021-11-07T02:05:19.2549910Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:19.2550650Z pandas\_libs\tslibs\timestamps.pyx:1729: in pandas._libs.tslibs.timestamps.Timestamp.tz_localize
2021-11-07T02:05:19.2551413Z     value = tz_localize_to_utc_single(self.value, tz,
2021-11-07T02:05:19.2552104Z pandas\_libs\tslibs\tzconversion.pyx:74: in pandas._libs.tslibs.tzconversion.tz_localize_to_utc_single
2021-11-07T02:05:19.2552762Z     return tz_localize_to_utc(
2021-11-07T02:05:19.2553345Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:19.2553760Z 
2021-11-07T02:05:19.2554228Z >   raise pytz.AmbiguousTimeError(
2021-11-07T02:05:19.2554959Z E   pytz.exceptions.AmbiguousTimeError: Cannot infer dst time from 2021-11-07 01:57:52.482545, try using the 'ambiguous' argument
2021-11-07T02:05:19.2555488Z 
2021-11-07T02:05:19.2556044Z pandas\_libs\tslibs\tzconversion.pyx:284: AmbiguousTimeError
2021-11-07T02:05:19.2556695Z _______________ TestDatetimeArray.test_take_fill_valid[None-B] ________________
2021-11-07T02:05:19.2557393Z [gw0] win32 -- Python 3.8.12 C:\Miniconda\envs\pandas-dev\python.exe
2021-11-07T02:05:19.2557781Z 
2021-11-07T02:05:19.2558364Z self = <pandas.tests.arrays.test_datetimelike.TestDatetimeArray object at 0x000001E0E8F214F0>
2021-11-07T02:05:19.2558965Z arr1d = <DatetimeArray>
2021-11-07T02:05:19.2559587Z ['2016-01-01 01:01:00', '2016-01-04 01:01:00', '2016-01-05 01:01:00',
2021-11-07T02:05:19.2560403Z  '2016-01-06 01:01:00', '2016-01-07 01:01:00']
2021-11-07T02:05:19.2560935Z Length: 5, dtype: datetime64[ns]
2021-11-07T02:05:19.2561313Z 
2021-11-07T02:05:19.2561783Z     def test_take_fill_valid(self, arr1d):
2021-11-07T02:05:19.2562290Z         arr = arr1d
2021-11-07T02:05:19.2562750Z         dti = self.index_cls(arr1d)
2021-11-07T02:05:19.2563204Z     
2021-11-07T02:05:19.2563659Z         now = Timestamp.now().tz_localize(dti.tz)
2021-11-07T02:05:19.2564228Z         result = arr.take([-1, 1], allow_fill=True, fill_value=now)
2021-11-07T02:05:19.2564750Z         assert result[0] == now
2021-11-07T02:05:19.2565196Z     
2021-11-07T02:05:19.2565693Z         msg = f"value should be a '{arr1d._scalar_type.__name__}' or 'NaT'. Got"
2021-11-07T02:05:19.2566314Z         with pytest.raises(TypeError, match=msg):
2021-11-07T02:05:19.2566874Z             # fill_value Timedelta invalid
2021-11-07T02:05:19.2567414Z             arr.take([-1, 1], allow_fill=True, fill_value=now - now)
2021-11-07T02:05:19.2567913Z     
2021-11-07T02:05:19.2568391Z         with pytest.raises(TypeError, match=msg):
2021-11-07T02:05:19.2568938Z             # fill_value Period invalid
2021-11-07T02:05:19.2569484Z             arr.take([-1, 1], allow_fill=True, fill_value=Period("2014Q1"))
2021-11-07T02:05:19.2570001Z     
2021-11-07T02:05:19.2570482Z         tz = None if dti.tz is not None else "US/Eastern"
2021-11-07T02:05:19.2571058Z >       now = Timestamp.now().tz_localize(tz)
2021-11-07T02:05:19.2571382Z 
2021-11-07T02:05:19.2571882Z pandas\tests\arrays\test_datetimelike.py:862: 
2021-11-07T02:05:19.2572394Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:19.2573759Z pandas\_libs\tslibs\timestamps.pyx:1729: in pandas._libs.tslibs.timestamps.Timestamp.tz_localize
2021-11-07T02:05:19.2574430Z     value = tz_localize_to_utc_single(self.value, tz,
2021-11-07T02:05:19.2574991Z pandas\_libs\tslibs\tzconversion.pyx:74: in pandas._libs.tslibs.tzconversion.tz_localize_to_utc_single
2021-11-07T02:05:19.2575662Z     return tz_localize_to_utc(
2021-11-07T02:05:19.2576316Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:19.2576733Z 
2021-11-07T02:05:19.2577119Z >   raise pytz.AmbiguousTimeError(
2021-11-07T02:05:19.2577731Z E   pytz.exceptions.AmbiguousTimeError: Cannot infer dst time from 2021-11-07 01:57:52.553547, try using the 'ambiguous' argument
2021-11-07T02:05:19.2578141Z 
2021-11-07T02:05:19.2578560Z pandas\_libs\tslibs\tzconversion.pyx:284: AmbiguousTimeError
2021-11-07T02:05:19.2579092Z _______________ TestDatetimeArray.test_take_fill_valid[None-W] ________________
2021-11-07T02:05:19.2579655Z [gw0] win32 -- Python 3.8.12 C:\Miniconda\envs\pandas-dev\python.exe
2021-11-07T02:05:19.2579943Z 
2021-11-07T02:05:19.2580393Z self = <pandas.tests.arrays.test_datetimelike.TestDatetimeArray object at 0x000001E0E8F211F0>
2021-11-07T02:05:19.2580886Z arr1d = <DatetimeArray>
2021-11-07T02:05:19.2581419Z ['2016-01-03 01:01:00', '2016-01-10 01:01:00', '2016-01-17 01:01:00',
2021-11-07T02:05:19.2581964Z  '2016-01-24 01:01:00', '2016-01-31 01:01:00']
2021-11-07T02:05:19.2582409Z Length: 5, dtype: datetime64[ns]
2021-11-07T02:05:19.2582647Z 
2021-11-07T02:05:19.2583142Z     def test_take_fill_valid(self, arr1d):
2021-11-07T02:05:19.2583710Z         arr = arr1d
2021-11-07T02:05:19.2584110Z         dti = self.index_cls(arr1d)
2021-11-07T02:05:19.2584478Z     
2021-11-07T02:05:19.2584852Z         now = Timestamp.now().tz_localize(dti.tz)
2021-11-07T02:05:19.2585341Z         result = arr.take([-1, 1], allow_fill=True, fill_value=now)
2021-11-07T02:05:19.2585792Z         assert result[0] == now
2021-11-07T02:05:19.2586154Z     
2021-11-07T02:05:19.2586575Z         msg = f"value should be a '{arr1d._scalar_type.__name__}' or 'NaT'. Got"
2021-11-07T02:05:19.2587124Z         with pytest.raises(TypeError, match=msg):
2021-11-07T02:05:19.2587597Z             # fill_value Timedelta invalid
2021-11-07T02:05:19.2588066Z             arr.take([-1, 1], allow_fill=True, fill_value=now - now)
2021-11-07T02:05:19.2588478Z     
2021-11-07T02:05:19.2588901Z         with pytest.raises(TypeError, match=msg):
2021-11-07T02:05:19.2589369Z             # fill_value Period invalid
2021-11-07T02:05:19.2589837Z             arr.take([-1, 1], allow_fill=True, fill_value=Period("2014Q1"))
2021-11-07T02:05:19.2590272Z     
2021-11-07T02:05:19.2590675Z         tz = None if dti.tz is not None else "US/Eastern"
2021-11-07T02:05:19.2591167Z >       now = Timestamp.now().tz_localize(tz)
2021-11-07T02:05:19.2591400Z 
2021-11-07T02:05:19.2591805Z pandas\tests\arrays\test_datetimelike.py:862: 
2021-11-07T02:05:19.2592333Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:19.2592920Z pandas\_libs\tslibs\timestamps.pyx:1729: in pandas._libs.tslibs.timestamps.Timestamp.tz_localize
2021-11-07T02:05:19.2593600Z     value = tz_localize_to_utc_single(self.value, tz,
2021-11-07T02:05:19.2594165Z pandas\_libs\tslibs\tzconversion.pyx:74: in pandas._libs.tslibs.tzconversion.tz_localize_to_utc_single
2021-11-07T02:05:19.2594696Z     return tz_localize_to_utc(
2021-11-07T02:05:19.2595156Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:19.2595463Z 
2021-11-07T02:05:19.2595806Z >   raise pytz.AmbiguousTimeError(
2021-11-07T02:05:19.2596414Z E   pytz.exceptions.AmbiguousTimeError: Cannot infer dst time from 2021-11-07 01:57:52.823550, try using the 'ambiguous' argument
2021-11-07T02:05:19.2596899Z 
2021-11-07T02:05:19.2597288Z pandas\_libs\tslibs\tzconversion.pyx:284: AmbiguousTimeError
2021-11-07T02:05:19.2598063Z _______________ TestDatetimeArray.test_take_fill_valid[None-M] ________________
2021-11-07T02:05:19.2598626Z [gw0] win32 -- Python 3.8.12 C:\Miniconda\envs\pandas-dev\python.exe
2021-11-07T02:05:19.2598990Z 
2021-11-07T02:05:19.2599445Z self = <pandas.tests.arrays.test_datetimelike.TestDatetimeArray object at 0x000001E0E8EECF70>
2021-11-07T02:05:19.2599934Z arr1d = <DatetimeArray>
2021-11-07T02:05:19.2600407Z ['2016-01-31 01:01:00', '2016-02-29 01:01:00', '2016-03-31 01:01:00',
2021-11-07T02:05:19.2601012Z  '2016-04-30 01:01:00', '2016-05-31 01:01:00']
2021-11-07T02:05:19.2601460Z Length: 5, dtype: datetime64[ns]
2021-11-07T02:05:19.2601699Z 
2021-11-07T02:05:19.2602076Z     def test_take_fill_valid(self, arr1d):
2021-11-07T02:05:19.2602499Z         arr = arr1d
2021-11-07T02:05:19.2602973Z         dti = self.index_cls(arr1d)
2021-11-07T02:05:19.2603520Z     
2021-11-07T02:05:19.2603927Z         now = Timestamp.now().tz_localize(dti.tz)
2021-11-07T02:05:19.2604424Z         result = arr.take([-1, 1], allow_fill=True, fill_value=now)
2021-11-07T02:05:19.2604866Z         assert result[0] == now
2021-11-07T02:05:19.2605221Z     
2021-11-07T02:05:19.2605643Z         msg = f"value should be a '{arr1d._scalar_type.__name__}' or 'NaT'. Got"
2021-11-07T02:05:19.2606180Z         with pytest.raises(TypeError, match=msg):
2021-11-07T02:05:19.2606649Z             # fill_value Timedelta invalid
2021-11-07T02:05:19.2607375Z             arr.take([-1, 1], allow_fill=True, fill_value=now - now)
2021-11-07T02:05:19.2607828Z     
2021-11-07T02:05:19.2608339Z         with pytest.raises(TypeError, match=msg):
2021-11-07T02:05:19.2609032Z             # fill_value Period invalid
2021-11-07T02:05:19.2610148Z             arr.take([-1, 1], allow_fill=True, fill_value=Period("2014Q1"))
2021-11-07T02:05:19.2610816Z     
2021-11-07T02:05:19.2611308Z         tz = None if dti.tz is not None else "US/Eastern"
2021-11-07T02:05:19.2611768Z >       now = Timestamp.now().tz_localize(tz)
2021-11-07T02:05:19.2612010Z 
2021-11-07T02:05:19.2612414Z pandas\tests\arrays\test_datetimelike.py:862: 
2021-11-07T02:05:19.2612933Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:19.2613528Z pandas\_libs\tslibs\timestamps.pyx:1729: in pandas._libs.tslibs.timestamps.Timestamp.tz_localize
2021-11-07T02:05:19.2614089Z     value = tz_localize_to_utc_single(self.value, tz,
2021-11-07T02:05:19.2614645Z pandas\_libs\tslibs\tzconversion.pyx:74: in pandas._libs.tslibs.tzconversion.tz_localize_to_utc_single
2021-11-07T02:05:19.2615174Z     return tz_localize_to_utc(
2021-11-07T02:05:19.2615642Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:19.2615944Z 
2021-11-07T02:05:19.2616287Z >   raise pytz.AmbiguousTimeError(
2021-11-07T02:05:19.2616889Z E   pytz.exceptions.AmbiguousTimeError: Cannot infer dst time from 2021-11-07 01:57:52.906552, try using the 'ambiguous' argument
2021-11-07T02:05:19.2617301Z 
2021-11-07T02:05:19.2617719Z pandas\_libs\tslibs\tzconversion.pyx:284: AmbiguousTimeError
2021-11-07T02:05:19.2618363Z _______________ TestDatetimeArray.test_take_fill_valid[None-Q] ________________
2021-11-07T02:05:19.2619074Z [gw0] win32 -- Python 3.8.12 C:\Miniconda\envs\pandas-dev\python.exe
2021-11-07T02:05:19.2619478Z 
2021-11-07T02:05:19.2627270Z self = <pandas.tests.arrays.test_datetimelike.TestDatetimeArray object at 0x000001E0FE9AFA90>
2021-11-07T02:05:19.2628097Z arr1d = <DatetimeArray>
2021-11-07T02:05:19.2628632Z ['2016-03-31 01:01:00', '2016-06-30 01:01:00', '2016-09-30 01:01:00',
2021-11-07T02:05:19.2629195Z  '2016-12-31 01:01:00', '2017-03-31 01:01:00']
2021-11-07T02:05:19.2629646Z Length: 5, dtype: datetime64[ns]
2021-11-07T02:05:19.2629875Z 
2021-11-07T02:05:19.2630276Z     def test_take_fill_valid(self, arr1d):
2021-11-07T02:05:19.2630708Z         arr = arr1d
2021-11-07T02:05:19.2631137Z         dti = self.index_cls(arr1d)
2021-11-07T02:05:19.2631512Z     
2021-11-07T02:05:19.2632123Z         now = Timestamp.now().tz_localize(dti.tz)
2021-11-07T02:05:19.2632615Z         result = arr.take([-1, 1], allow_fill=True, fill_value=now)
2021-11-07T02:05:19.2633060Z         assert result[0] == now
2021-11-07T02:05:19.2633526Z     
2021-11-07T02:05:19.2633950Z         msg = f"value should be a '{arr1d._scalar_type.__name__}' or 'NaT'. Got"
2021-11-07T02:05:19.2634500Z         with pytest.raises(TypeError, match=msg):
2021-11-07T02:05:19.2634976Z             # fill_value Timedelta invalid
2021-11-07T02:05:19.2635440Z             arr.take([-1, 1], allow_fill=True, fill_value=now - now)
2021-11-07T02:05:19.2636030Z     
2021-11-07T02:05:19.2637002Z         with pytest.raises(TypeError, match=msg):
2021-11-07T02:05:19.2637742Z             # fill_value Period invalid
2021-11-07T02:05:19.2638245Z             arr.take([-1, 1], allow_fill=True, fill_value=Period("2014Q1"))
2021-11-07T02:05:19.2638681Z     
2021-11-07T02:05:19.2639093Z         tz = None if dti.tz is not None else "US/Eastern"
2021-11-07T02:05:19.2639560Z >       now = Timestamp.now().tz_localize(tz)
2021-11-07T02:05:19.2639797Z 
2021-11-07T02:05:19.2640203Z pandas\tests\arrays\test_datetimelike.py:862: 
2021-11-07T02:05:19.2640737Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:19.2641416Z pandas\_libs\tslibs\timestamps.pyx:1729: in pandas._libs.tslibs.timestamps.Timestamp.tz_localize
2021-11-07T02:05:19.2641980Z     value = tz_localize_to_utc_single(self.value, tz,
2021-11-07T02:05:19.2642538Z pandas\_libs\tslibs\tzconversion.pyx:74: in pandas._libs.tslibs.tzconversion.tz_localize_to_utc_single
2021-11-07T02:05:19.2643073Z     return tz_localize_to_utc(
2021-11-07T02:05:19.2643531Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:19.2643839Z 
2021-11-07T02:05:19.2644185Z >   raise pytz.AmbiguousTimeError(
2021-11-07T02:05:19.2644796Z E   pytz.exceptions.AmbiguousTimeError: Cannot infer dst time from 2021-11-07 01:57:52.973551, try using the 'ambiguous' argument
2021-11-07T02:05:19.2645209Z 
2021-11-07T02:05:19.2645631Z pandas\_libs\tslibs\tzconversion.pyx:284: AmbiguousTimeError
2021-11-07T02:05:19.2646162Z _______________ TestDatetimeArray.test_take_fill_valid[None-Y] ________________
2021-11-07T02:05:19.2646731Z [gw0] win32 -- Python 3.8.12 C:\Miniconda\envs\pandas-dev\python.exe
2021-11-07T02:05:19.2647020Z 
2021-11-07T02:05:19.2647475Z self = <pandas.tests.arrays.test_datetimelike.TestDatetimeArray object at 0x000001E0FEA11520>
2021-11-07T02:05:19.2647937Z arr1d = <DatetimeArray>
2021-11-07T02:05:19.2648437Z ['2016-12-31 01:01:00', '2017-12-31 01:01:00', '2018-12-31 01:01:00',
2021-11-07T02:05:19.2648988Z  '2019-12-31 01:01:00', '2020-12-31 01:01:00']
2021-11-07T02:05:19.2649439Z Length: 5, dtype: datetime64[ns]
2021-11-07T02:05:19.2649670Z 
2021-11-07T02:05:19.2650071Z     def test_take_fill_valid(self, arr1d):
2021-11-07T02:05:19.2650503Z         arr = arr1d
2021-11-07T02:05:19.2650962Z         dti = self.index_cls(arr1d)
2021-11-07T02:05:19.2651363Z     
2021-11-07T02:05:19.2651744Z         now = Timestamp.now().tz_localize(dti.tz)
2021-11-07T02:05:19.2652236Z         result = arr.take([-1, 1], allow_fill=True, fill_value=now)
2021-11-07T02:05:19.2652706Z         assert result[0] == now
2021-11-07T02:05:19.2653080Z     
2021-11-07T02:05:19.2653523Z         msg = f"value should be a '{arr1d._scalar_type.__name__}' or 'NaT'. Got"
2021-11-07T02:05:19.2654080Z         with pytest.raises(TypeError, match=msg):
2021-11-07T02:05:19.2654564Z             # fill_value Timedelta invalid
2021-11-07T02:05:19.2655031Z             arr.take([-1, 1], allow_fill=True, fill_value=now - now)
2021-11-07T02:05:19.2655455Z     
2021-11-07T02:05:19.2655859Z         with pytest.raises(TypeError, match=msg):
2021-11-07T02:05:19.2656328Z             # fill_value Period invalid
2021-11-07T02:05:19.2656800Z             arr.take([-1, 1], allow_fill=True, fill_value=Period("2014Q1"))
2021-11-07T02:05:19.2658011Z     
2021-11-07T02:05:19.2658421Z         tz = None if dti.tz is not None else "US/Eastern"
2021-11-07T02:05:19.2658884Z >       now = Timestamp.now().tz_localize(tz)
2021-11-07T02:05:19.2659124Z 
2021-11-07T02:05:19.2659635Z pandas\tests\arrays\test_datetimelike.py:862: 
2021-11-07T02:05:19.2660143Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:19.2660755Z pandas\_libs\tslibs\timestamps.pyx:1729: in pandas._libs.tslibs.timestamps.Timestamp.tz_localize
2021-11-07T02:05:19.2661402Z     value = tz_localize_to_utc_single(self.value, tz,
2021-11-07T02:05:19.2661962Z pandas\_libs\tslibs\tzconversion.pyx:74: in pandas._libs.tslibs.tzconversion.tz_localize_to_utc_single
2021-11-07T02:05:19.2662500Z     return tz_localize_to_utc(
2021-11-07T02:05:19.2662964Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:19.2663272Z 
2021-11-07T02:05:19.2663620Z >   raise pytz.AmbiguousTimeError(
2021-11-07T02:05:19.2664248Z E   pytz.exceptions.AmbiguousTimeError: Cannot infer dst time from 2021-11-07 01:57:53.103554, try using the 'ambiguous' argument
2021-11-07T02:05:19.2664668Z 
2021-11-07T02:05:19.2665067Z pandas\_libs\tslibs\tzconversion.pyx:284: AmbiguousTimeError
2021-11-07T02:05:19.2665601Z ___________ TestDatetimeArray.test_take_fill_valid['US/Eastern'-D] ____________
2021-11-07T02:05:19.2666158Z [gw0] win32 -- Python 3.8.12 C:\Miniconda\envs\pandas-dev\python.exe
2021-11-07T02:05:19.2666447Z 
2021-11-07T02:05:19.2666897Z self = <pandas.tests.arrays.test_datetimelike.TestDatetimeArray object at 0x000001E0FEA49250>
2021-11-07T02:05:19.2667380Z arr1d = <DatetimeArray>
2021-11-07T02:05:19.2667853Z ['2016-01-01 01:01:00-05:00', '2016-01-02 01:01:00-05:00',
2021-11-07T02:05:19.2668404Z  '2016-01-03 01:01:00-05:00', '2016-01-04 01:01:00-05:00',
2021-11-07T02:05:19.2669306Z  '2016-01-05 01:01:00-05:00']
2021-11-07T02:05:19.2669760Z Length: 5, dtype: datetime64[ns, US/Eastern]
2021-11-07T02:05:19.2670012Z 
2021-11-07T02:05:19.2670408Z     def test_take_fill_valid(self, arr1d):
2021-11-07T02:05:19.2670823Z         arr = arr1d
2021-11-07T02:05:19.2671288Z         dti = self.index_cls(arr1d)
2021-11-07T02:05:19.2671648Z     
2021-11-07T02:05:19.2672043Z >       now = Timestamp.now().tz_localize(dti.tz)
2021-11-07T02:05:19.2672291Z 
2021-11-07T02:05:19.2672698Z pandas\tests\arrays\test_datetimelike.py:848: 
2021-11-07T02:05:19.2673211Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:19.2673825Z pandas\_libs\tslibs\timestamps.pyx:1729: in pandas._libs.tslibs.timestamps.Timestamp.tz_localize
2021-11-07T02:05:19.2674380Z     value = tz_localize_to_utc_single(self.value, tz,
2021-11-07T02:05:19.2674955Z pandas\_libs\tslibs\tzconversion.pyx:74: in pandas._libs.tslibs.tzconversion.tz_localize_to_utc_single
2021-11-07T02:05:19.2675485Z     return tz_localize_to_utc(
2021-11-07T02:05:19.2675950Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:19.2676244Z 
2021-11-07T02:05:19.2676571Z >   raise pytz.AmbiguousTimeError(
2021-11-07T02:05:19.2677175Z E   pytz.exceptions.AmbiguousTimeError: Cannot infer dst time from 2021-11-07 01:57:53.390556, try using the 'ambiguous' argument
2021-11-07T02:05:19.2677590Z 
2021-11-07T02:05:19.2678000Z pandas\_libs\tslibs\tzconversion.pyx:284: AmbiguousTimeError
2021-11-07T02:05:19.2678546Z ___________ TestDatetimeArray.test_take_fill_valid['US/Eastern'-B] ____________
2021-11-07T02:05:19.2679106Z [gw0] win32 -- Python 3.8.12 C:\Miniconda\envs\pandas-dev\python.exe
2021-11-07T02:05:19.2679398Z 
2021-11-07T02:05:19.2679848Z self = <pandas.tests.arrays.test_datetimelike.TestDatetimeArray object at 0x000001E0FEAC6700>
2021-11-07T02:05:19.2680318Z arr1d = <DatetimeArray>
2021-11-07T02:05:19.2680787Z ['2016-01-01 01:01:00-05:00', '2016-01-04 01:01:00-05:00',
2021-11-07T02:05:19.2681378Z  '2016-01-05 01:01:00-05:00', '2016-01-06 01:01:00-05:00',
2021-11-07T02:05:19.2681864Z  '2016-01-07 01:01:00-05:00']
2021-11-07T02:05:19.2682778Z Length: 5, dtype: datetime64[ns, US/Eastern]
2021-11-07T02:05:19.2683048Z 
2021-11-07T02:05:19.2683431Z     def test_take_fill_valid(self, arr1d):
2021-11-07T02:05:19.2683955Z         arr = arr1d
2021-11-07T02:05:19.2684331Z         dti = self.index_cls(arr1d)
2021-11-07T02:05:19.2684697Z     
2021-11-07T02:05:19.2685072Z >       now = Timestamp.now().tz_localize(dti.tz)
2021-11-07T02:05:19.2685334Z 
2021-11-07T02:05:19.2685719Z pandas\tests\arrays\test_datetimelike.py:848: 
2021-11-07T02:05:19.2686242Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:19.2686830Z pandas\_libs\tslibs\timestamps.pyx:1729: in pandas._libs.tslibs.timestamps.Timestamp.tz_localize
2021-11-07T02:05:19.2687402Z     value = tz_localize_to_utc_single(self.value, tz,
2021-11-07T02:05:19.2687975Z pandas\_libs\tslibs\tzconversion.pyx:74: in pandas._libs.tslibs.tzconversion.tz_localize_to_utc_single
2021-11-07T02:05:19.2688503Z     return tz_localize_to_utc(
2021-11-07T02:05:19.2688982Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:19.2689268Z 
2021-11-07T02:05:19.2689626Z >   raise pytz.AmbiguousTimeError(
2021-11-07T02:05:19.2690219Z E   pytz.exceptions.AmbiguousTimeError: Cannot infer dst time from 2021-11-07 01:57:54.282567, try using the 'ambiguous' argument
2021-11-07T02:05:19.2690647Z 
2021-11-07T02:05:19.2691115Z pandas\_libs\tslibs\tzconversion.pyx:284: AmbiguousTimeError
2021-11-07T02:05:19.2691665Z ___________ TestDatetimeArray.test_take_fill_valid['US/Eastern'-W] ____________
2021-11-07T02:05:19.2692238Z [gw0] win32 -- Python 3.8.12 C:\Miniconda\envs\pandas-dev\python.exe
2021-11-07T02:05:19.2692541Z 
2021-11-07T02:05:19.2692978Z self = <pandas.tests.arrays.test_datetimelike.TestDatetimeArray object at 0x000001E0FEBF9070>
2021-11-07T02:05:19.2693474Z arr1d = <DatetimeArray>
2021-11-07T02:05:19.2693927Z ['2016-01-03 01:01:00-05:00', '2016-01-10 01:01:00-05:00',
2021-11-07T02:05:19.2694475Z  '2016-01-17 01:01:00-05:00', '2016-01-24 01:01:00-05:00',
2021-11-07T02:05:19.2694941Z  '2016-01-31 01:01:00-05:00']
2021-11-07T02:05:19.2695389Z Length: 5, dtype: datetime64[ns, US/Eastern]
2021-11-07T02:05:19.2695641Z 
2021-11-07T02:05:19.2696037Z     def test_take_fill_valid(self, arr1d):
2021-11-07T02:05:19.2696445Z         arr = arr1d
2021-11-07T02:05:19.2696835Z         dti = self.index_cls(arr1d)
2021-11-07T02:05:19.2697198Z     
2021-11-07T02:05:19.2697570Z >       now = Timestamp.now().tz_localize(dti.tz)
2021-11-07T02:05:19.2697814Z 
2021-11-07T02:05:19.2698179Z pandas\tests\arrays\test_datetimelike.py:848: 
2021-11-07T02:05:19.2698683Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:19.2699297Z pandas\_libs\tslibs\timestamps.pyx:1729: in pandas._libs.tslibs.timestamps.Timestamp.tz_localize
2021-11-07T02:05:19.2699855Z     value = tz_localize_to_utc_single(self.value, tz,
2021-11-07T02:05:19.2700413Z pandas\_libs\tslibs\tzconversion.pyx:74: in pandas._libs.tslibs.tzconversion.tz_localize_to_utc_single
2021-11-07T02:05:19.2701000Z     return tz_localize_to_utc(
2021-11-07T02:05:19.2701462Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:19.2701775Z 
2021-11-07T02:05:19.2702114Z >   raise pytz.AmbiguousTimeError(
2021-11-07T02:05:19.2702730Z E   pytz.exceptions.AmbiguousTimeError: Cannot infer dst time from 2021-11-07 01:57:54.352569, try using the 'ambiguous' argument
2021-11-07T02:05:19.2703138Z 
2021-11-07T02:05:19.2703560Z pandas\_libs\tslibs\tzconversion.pyx:284: AmbiguousTimeError
2021-11-07T02:05:19.2704089Z ___________ TestDatetimeArray.test_take_fill_valid['US/Eastern'-M] ____________
2021-11-07T02:05:19.2704641Z [gw0] win32 -- Python 3.8.12 C:\Miniconda\envs\pandas-dev\python.exe
2021-11-07T02:05:19.2704931Z 
2021-11-07T02:05:19.2705383Z self = <pandas.tests.arrays.test_datetimelike.TestDatetimeArray object at 0x000001E0E8EE6670>
2021-11-07T02:05:19.2706273Z arr1d = <DatetimeArray>
2021-11-07T02:05:19.2706741Z ['2016-01-31 01:01:00-05:00', '2016-02-29 01:01:00-05:00',
2021-11-07T02:05:19.2707293Z  '2016-03-31 01:01:00-04:00', '2016-04-30 01:01:00-04:00',
2021-11-07T02:05:19.2707862Z  '2016-05-31 01:01:00-04:00']
2021-11-07T02:05:19.2708307Z Length: 5, dtype: datetime64[ns, US/Eastern]
2021-11-07T02:05:19.2708551Z 
2021-11-07T02:05:19.2708948Z     def test_take_fill_valid(self, arr1d):
2021-11-07T02:05:19.2709363Z         arr = arr1d
2021-11-07T02:05:19.2709756Z         dti = self.index_cls(arr1d)
2021-11-07T02:05:19.2710105Z     
2021-11-07T02:05:19.2710495Z >       now = Timestamp.now().tz_localize(dti.tz)
2021-11-07T02:05:19.2710737Z 
2021-11-07T02:05:19.2711615Z pandas\tests\arrays\test_datetimelike.py:848: 
2021-11-07T02:05:19.2712186Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:19.2712787Z pandas\_libs\tslibs\timestamps.pyx:1729: in pandas._libs.tslibs.timestamps.Timestamp.tz_localize
2021-11-07T02:05:19.2713343Z     value = tz_localize_to_utc_single(self.value, tz,
2021-11-07T02:05:19.2713911Z pandas\_libs\tslibs\tzconversion.pyx:74: in pandas._libs.tslibs.tzconversion.tz_localize_to_utc_single
2021-11-07T02:05:19.2714445Z     return tz_localize_to_utc(
2021-11-07T02:05:19.2714909Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:19.2715198Z 
2021-11-07T02:05:19.2715556Z >   raise pytz.AmbiguousTimeError(
2021-11-07T02:05:19.2716159Z E   pytz.exceptions.AmbiguousTimeError: Cannot infer dst time from 2021-11-07 01:57:54.420566, try using the 'ambiguous' argument
2021-11-07T02:05:19.2716573Z 
2021-11-07T02:05:19.2716983Z pandas\_libs\tslibs\tzconversion.pyx:284: AmbiguousTimeError
2021-11-07T02:05:19.2717539Z ___________ TestDatetimeArray.test_take_fill_valid['US/Eastern'-Q] ____________
2021-11-07T02:05:19.2718105Z [gw0] win32 -- Python 3.8.12 C:\Miniconda\envs\pandas-dev\python.exe
2021-11-07T02:05:19.2718389Z 
2021-11-07T02:05:19.2718827Z self = <pandas.tests.arrays.test_datetimelike.TestDatetimeArray object at 0x000001E0FDE4D730>
2021-11-07T02:05:19.2719319Z arr1d = <DatetimeArray>
2021-11-07T02:05:19.2719786Z ['2016-03-31 01:01:00-04:00', '2016-06-30 01:01:00-04:00',
2021-11-07T02:05:19.2720320Z  '2016-09-30 01:01:00-04:00', '2016-12-31 01:01:00-05:00',
2021-11-07T02:05:19.2720801Z  '2017-03-31 01:01:00-04:00']
2021-11-07T02:05:19.2721301Z Length: 5, dtype: datetime64[ns, US/Eastern]
2021-11-07T02:05:19.2721562Z 
2021-11-07T02:05:19.2721941Z     def test_take_fill_valid(self, arr1d):
2021-11-07T02:05:19.2722437Z         arr = arr1d
2021-11-07T02:05:19.2722815Z         dti = self.index_cls(arr1d)
2021-11-07T02:05:19.2723179Z     
2021-11-07T02:05:19.2723553Z >       now = Timestamp.now().tz_localize(dti.tz)
2021-11-07T02:05:19.2723812Z 
2021-11-07T02:05:19.2724199Z pandas\tests\arrays\test_datetimelike.py:848: 
2021-11-07T02:05:19.2724722Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:19.2725310Z pandas\_libs\tslibs\timestamps.pyx:1729: in pandas._libs.tslibs.timestamps.Timestamp.tz_localize
2021-11-07T02:05:19.2725841Z     value = tz_localize_to_utc_single(self.value, tz,
2021-11-07T02:05:19.2726372Z pandas\_libs\tslibs\tzconversion.pyx:74: in pandas._libs.tslibs.tzconversion.tz_localize_to_utc_single
2021-11-07T02:05:19.2726886Z     return tz_localize_to_utc(
2021-11-07T02:05:19.2727360Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:19.2727648Z 
2021-11-07T02:05:19.2728011Z >   raise pytz.AmbiguousTimeError(
2021-11-07T02:05:19.2728610Z E   pytz.exceptions.AmbiguousTimeError: Cannot infer dst time from 2021-11-07 01:57:54.497567, try using the 'ambiguous' argument
2021-11-07T02:05:19.2729039Z 
2021-11-07T02:05:19.2729444Z pandas\_libs\tslibs\tzconversion.pyx:284: AmbiguousTimeError
2021-11-07T02:05:19.2729984Z ___________ TestDatetimeArray.test_take_fill_valid['US/Eastern'-Y] ____________
2021-11-07T02:05:19.2730652Z [gw0] win32 -- Python 3.8.12 C:\Miniconda\envs\pandas-dev\python.exe
2021-11-07T02:05:19.2731007Z 
2021-11-07T02:05:19.2731447Z self = <pandas.tests.arrays.test_datetimelike.TestDatetimeArray object at 0x000001E0FDE7C820>
2021-11-07T02:05:19.2732014Z arr1d = <DatetimeArray>
2021-11-07T02:05:19.2732462Z ['2016-12-31 01:01:00-05:00', '2017-12-31 01:01:00-05:00',
2021-11-07T02:05:19.2733016Z  '2018-12-31 01:01:00-05:00', '2019-12-31 01:01:00-05:00',
2021-11-07T02:05:19.2733483Z  '2020-12-31 01:01:00-05:00']
2021-11-07T02:05:19.2733926Z Length: 5, dtype: datetime64[ns, US/Eastern]
2021-11-07T02:05:19.2734167Z 
2021-11-07T02:05:19.2734568Z     def test_take_fill_valid(self, arr1d):
2021-11-07T02:05:19.2734978Z         arr = arr1d
2021-11-07T02:05:19.2735368Z         dti = self.index_cls(arr1d)
2021-11-07T02:05:19.2735713Z     
2021-11-07T02:05:19.2736113Z >       now = Timestamp.now().tz_localize(dti.tz)
2021-11-07T02:05:19.2736355Z 
2021-11-07T02:05:19.2736755Z pandas\tests\arrays\test_datetimelike.py:848: 
2021-11-07T02:05:19.2737264Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:19.2737862Z pandas\_libs\tslibs\timestamps.pyx:1729: in pandas._libs.tslibs.timestamps.Timestamp.tz_localize
2021-11-07T02:05:19.2738419Z     value = tz_localize_to_utc_single(self.value, tz,
2021-11-07T02:05:19.2738969Z pandas\_libs\tslibs\tzconversion.pyx:74: in pandas._libs.tslibs.tzconversion.tz_localize_to_utc_single
2021-11-07T02:05:19.2739494Z     return tz_localize_to_utc(
2021-11-07T02:05:19.2739952Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:19.2740252Z 
2021-11-07T02:05:19.2740590Z >   raise pytz.AmbiguousTimeError(
2021-11-07T02:05:19.2741247Z E   pytz.exceptions.AmbiguousTimeError: Cannot infer dst time from 2021-11-07 01:57:54.608572, try using the 'ambiguous' argument
2021-11-07T02:05:19.2741654Z 
2021-11-07T02:05:19.2742070Z pandas\_libs\tslibs\tzconversion.pyx:284: AmbiguousTimeError
2021-11-07T02:05:19.2742602Z _______ TestDatetimeArray.test_take_fill_valid['dateutil/US/Pacific'-D] _______
2021-11-07T02:05:19.2743151Z [gw0] win32 -- Python 3.8.12 C:\Miniconda\envs\pandas-dev\python.exe
2021-11-07T02:05:19.2743439Z 
2021-11-07T02:05:19.2743887Z self = <pandas.tests.arrays.test_datetimelike.TestDatetimeArray object at 0x000001E0FEBB8F10>
2021-11-07T02:05:19.2744357Z arr1d = <DatetimeArray>
2021-11-07T02:05:19.2744935Z ['2016-01-01 01:01:00-08:00', '2016-01-02 01:01:00-08:00',
2021-11-07T02:05:19.2745496Z  '2016-01-03 01:01:00-08:00', '2016-01-04 01:01:00-08:00',
2021-11-07T02:05:19.2745928Z  '2016-01-05 01:01:00-08:00']
2021-11-07T02:05:19.2746395Z Length: 5, dtype: datetime64[ns, tzfile('US/Pacific')]
2021-11-07T02:05:19.2746643Z 
2021-11-07T02:05:19.2746995Z     def test_take_fill_valid(self, arr1d):
2021-11-07T02:05:19.2747427Z         arr = arr1d
2021-11-07T02:05:19.2747826Z         dti = self.index_cls(arr1d)
2021-11-07T02:05:19.2748151Z     
2021-11-07T02:05:19.2748557Z >       now = Timestamp.now().tz_localize(dti.tz)
2021-11-07T02:05:19.2748785Z 
2021-11-07T02:05:19.2749351Z pandas\tests\arrays\test_datetimelike.py:848: 
2021-11-07T02:05:19.2750013Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:19.2750657Z pandas\_libs\tslibs\timestamps.pyx:1729: in pandas._libs.tslibs.timestamps.Timestamp.tz_localize
2021-11-07T02:05:19.2751287Z     value = tz_localize_to_utc_single(self.value, tz,
2021-11-07T02:05:19.2751959Z pandas\_libs\tslibs\tzconversion.pyx:74: in pandas._libs.tslibs.tzconversion.tz_localize_to_utc_single
2021-11-07T02:05:19.2752475Z     return tz_localize_to_utc(
2021-11-07T02:05:19.2752998Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:19.2753289Z 
2021-11-07T02:05:19.2753683Z >   raise pytz.AmbiguousTimeError(
2021-11-07T02:05:19.2754275Z E   pytz.exceptions.AmbiguousTimeError: Cannot infer dst time from 2021-11-07 01:57:54.915571, try using the 'ambiguous' argument
2021-11-07T02:05:19.2754831Z 
2021-11-07T02:05:19.2755239Z pandas\_libs\tslibs\tzconversion.pyx:284: AmbiguousTimeError
2021-11-07T02:05:19.2755826Z _______ TestDatetimeArray.test_take_fill_valid['dateutil/US/Pacific'-B] _______
2021-11-07T02:05:19.2757122Z [gw0] win32 -- Python 3.8.12 C:\Miniconda\envs\pandas-dev\python.exe
2021-11-07T02:05:19.2757430Z 
2021-11-07T02:05:19.2757878Z self = <pandas.tests.arrays.test_datetimelike.TestDatetimeArray object at 0x000001E0FD926B80>
2021-11-07T02:05:19.2758440Z arr1d = <DatetimeArray>
2021-11-07T02:05:19.2758955Z ['2016-01-01 01:01:00-08:00', '2016-01-04 01:01:00-08:00',
2021-11-07T02:05:19.2759494Z  '2016-01-05 01:01:00-08:00', '2016-01-06 01:01:00-08:00',
2021-11-07T02:05:19.2760018Z  '2016-01-07 01:01:00-08:00']
2021-11-07T02:05:19.2760462Z Length: 5, dtype: datetime64[ns, tzfile('US/Pacific')]
2021-11-07T02:05:19.2760771Z 
2021-11-07T02:05:19.2761215Z     def test_take_fill_valid(self, arr1d):
2021-11-07T02:05:19.2761678Z         arr = arr1d
2021-11-07T02:05:19.2762055Z         dti = self.index_cls(arr1d)
2021-11-07T02:05:19.2762556Z     
2021-11-07T02:05:19.2762908Z >       now = Timestamp.now().tz_localize(dti.tz)
2021-11-07T02:05:19.2763178Z 
2021-11-07T02:05:19.2763539Z pandas\tests\arrays\test_datetimelike.py:848: 
2021-11-07T02:05:19.2764055Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:19.2764596Z pandas\_libs\tslibs\timestamps.pyx:1729: in pandas._libs.tslibs.timestamps.Timestamp.tz_localize
2021-11-07T02:05:19.2765172Z     value = tz_localize_to_utc_single(self.value, tz,
2021-11-07T02:05:19.2765686Z pandas\_libs\tslibs\tzconversion.pyx:74: in pandas._libs.tslibs.tzconversion.tz_localize_to_utc_single
2021-11-07T02:05:19.2766264Z     return tz_localize_to_utc(
2021-11-07T02:05:19.2766747Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:19.2767019Z 
2021-11-07T02:05:19.2767386Z >   raise pytz.AmbiguousTimeError(
2021-11-07T02:05:19.2767939Z E   pytz.exceptions.AmbiguousTimeError: Cannot infer dst time from 2021-11-07 01:57:54.983574, try using the 'ambiguous' argument
2021-11-07T02:05:19.2768322Z 
2021-11-07T02:05:19.2768786Z pandas\_libs\tslibs\tzconversion.pyx:284: AmbiguousTimeError
2021-11-07T02:05:19.2769327Z _______ TestDatetimeArray.test_take_fill_valid['dateutil/US/Pacific'-W] _______
2021-11-07T02:05:19.2769825Z [gw0] win32 -- Python 3.8.12 C:\Miniconda\envs\pandas-dev\python.exe
2021-11-07T02:05:19.2770153Z 
2021-11-07T02:05:19.2770560Z self = <pandas.tests.arrays.test_datetimelike.TestDatetimeArray object at 0x000001E0FDE5F730>
2021-11-07T02:05:19.2771145Z arr1d = <DatetimeArray>
2021-11-07T02:05:19.2771565Z ['2016-01-03 01:01:00-08:00', '2016-01-10 01:01:00-08:00',
2021-11-07T02:05:19.2772122Z  '2016-01-17 01:01:00-08:00', '2016-01-24 01:01:00-08:00',
2021-11-07T02:05:19.2772564Z  '2016-01-31 01:01:00-08:00']
2021-11-07T02:05:19.2773026Z Length: 5, dtype: datetime64[ns, tzfile('US/Pacific')]
2021-11-07T02:05:19.2773267Z 
2021-11-07T02:05:19.2773670Z     def test_take_fill_valid(self, arr1d):
2021-11-07T02:05:19.2774115Z         arr = arr1d
2021-11-07T02:05:19.2774559Z         dti = self.index_cls(arr1d)
2021-11-07T02:05:19.2774888Z     
2021-11-07T02:05:19.2775290Z >       now = Timestamp.now().tz_localize(dti.tz)
2021-11-07T02:05:19.2775516Z 
2021-11-07T02:05:19.2775924Z pandas\tests\arrays\test_datetimelike.py:848: 
2021-11-07T02:05:19.2776399Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:19.2776995Z pandas\_libs\tslibs\timestamps.pyx:1729: in pandas._libs.tslibs.timestamps.Timestamp.tz_localize
2021-11-07T02:05:19.2777551Z     value = tz_localize_to_utc_single(self.value, tz,
2021-11-07T02:05:19.2778073Z pandas\_libs\tslibs\tzconversion.pyx:74: in pandas._libs.tslibs.tzconversion.tz_localize_to_utc_single
2021-11-07T02:05:19.2778626Z     return tz_localize_to_utc(
2021-11-07T02:05:19.2779063Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:19.2779648Z 
2021-11-07T02:05:19.2779992Z >   raise pytz.AmbiguousTimeError(
2021-11-07T02:05:19.2780635Z E   pytz.exceptions.AmbiguousTimeError: Cannot infer dst time from 2021-11-07 01:57:55.052577, try using the 'ambiguous' argument
2021-11-07T02:05:19.2781181Z 
2021-11-07T02:05:19.2781694Z pandas\_libs\tslibs\tzconversion.pyx:284: AmbiguousTimeError
2021-11-07T02:05:19.2782231Z _______ TestDatetimeArray.test_take_fill_valid['dateutil/US/Pacific'-M] _______
2021-11-07T02:05:19.2782830Z [gw0] win32 -- Python 3.8.12 C:\Miniconda\envs\pandas-dev\python.exe
2021-11-07T02:05:19.2783123Z 
2021-11-07T02:05:19.2783847Z self = <pandas.tests.arrays.test_datetimelike.TestDatetimeArray object at 0x000001E0FEC40B80>
2021-11-07T02:05:19.2784339Z arr1d = <DatetimeArray>
2021-11-07T02:05:19.2784851Z ['2016-01-31 01:01:00-08:00', '2016-02-29 01:01:00-08:00',
2021-11-07T02:05:19.2785386Z  '2016-03-31 01:01:00-07:00', '2016-04-30 01:01:00-07:00',
2021-11-07T02:05:19.2785918Z  '2016-05-31 01:01:00-07:00']
2021-11-07T02:05:19.2786462Z Length: 5, dtype: datetime64[ns, tzfile('US/Pacific')]
2021-11-07T02:05:19.2786727Z 
2021-11-07T02:05:19.2787109Z     def test_take_fill_valid(self, arr1d):
2021-11-07T02:05:19.2787586Z         arr = arr1d
2021-11-07T02:05:19.2788014Z         dti = self.index_cls(arr1d)
2021-11-07T02:05:19.2788371Z     
2021-11-07T02:05:19.2788800Z >       now = Timestamp.now().tz_localize(dti.tz)
2021-11-07T02:05:19.2789045Z 
2021-11-07T02:05:19.2789437Z pandas\tests\arrays\test_datetimelike.py:848: 
2021-11-07T02:05:19.2790006Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:19.2790655Z pandas\_libs\tslibs\timestamps.pyx:1729: in pandas._libs.tslibs.timestamps.Timestamp.tz_localize
2021-11-07T02:05:19.2791279Z     value = tz_localize_to_utc_single(self.value, tz,
2021-11-07T02:05:19.2791901Z pandas\_libs\tslibs\tzconversion.pyx:74: in pandas._libs.tslibs.tzconversion.tz_localize_to_utc_single
2021-11-07T02:05:19.2792421Z     return tz_localize_to_utc(
2021-11-07T02:05:19.2792958Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:19.2793259Z 
2021-11-07T02:05:19.2793675Z >   raise pytz.AmbiguousTimeError(
2021-11-07T02:05:19.2794274Z E   pytz.exceptions.AmbiguousTimeError: Cannot infer dst time from 2021-11-07 01:57:55.124576, try using the 'ambiguous' argument
2021-11-07T02:05:19.2794750Z 
2021-11-07T02:05:19.2795156Z pandas\_libs\tslibs\tzconversion.pyx:284: AmbiguousTimeError
2021-11-07T02:05:19.2795782Z _______ TestDatetimeArray.test_take_fill_valid['dateutil/US/Pacific'-Q] _______
2021-11-07T02:05:19.2796390Z [gw0] win32 -- Python 3.8.12 C:\Miniconda\envs\pandas-dev\python.exe
2021-11-07T02:05:19.2796683Z 
2021-11-07T02:05:19.2797122Z self = <pandas.tests.arrays.test_datetimelike.TestDatetimeArray object at 0x000001E0FE9D9FA0>
2021-11-07T02:05:19.2797691Z arr1d = <DatetimeArray>
2021-11-07T02:05:19.2798197Z ['2016-03-31 01:01:00-07:00', '2016-06-30 01:01:00-07:00',
2021-11-07T02:05:19.2798845Z  '2016-09-30 01:01:00-07:00', '2016-12-31 01:01:00-08:00',
2021-11-07T02:05:19.2799525Z  '2017-03-31 01:01:00-07:00']
2021-11-07T02:05:19.2800065Z Length: 5, dtype: datetime64[ns, tzfile('US/Pacific')]
2021-11-07T02:05:19.2800436Z 
2021-11-07T02:05:19.2800827Z     def test_take_fill_valid(self, arr1d):
2021-11-07T02:05:19.2801349Z         arr = arr1d
2021-11-07T02:05:19.2801732Z         dti = self.index_cls(arr1d)
2021-11-07T02:05:19.2802135Z     
2021-11-07T02:05:19.2802512Z >       now = Timestamp.now().tz_localize(dti.tz)
2021-11-07T02:05:19.2802806Z 
2021-11-07T02:05:19.2803196Z pandas\tests\arrays\test_datetimelike.py:848: 
2021-11-07T02:05:19.2803761Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:19.2804350Z pandas\_libs\tslibs\timestamps.pyx:1729: in pandas._libs.tslibs.timestamps.Timestamp.tz_localize
2021-11-07T02:05:19.2804945Z     value = tz_localize_to_utc_single(self.value, tz,
2021-11-07T02:05:19.2805629Z pandas\_libs\tslibs\tzconversion.pyx:74: in pandas._libs.tslibs.tzconversion.tz_localize_to_utc_single
2021-11-07T02:05:19.2806198Z     return tz_localize_to_utc(
2021-11-07T02:05:19.2806785Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:19.2807077Z 
2021-11-07T02:05:19.2807501Z >   raise pytz.AmbiguousTimeError(
2021-11-07T02:05:19.2808106Z E   pytz.exceptions.AmbiguousTimeError: Cannot infer dst time from 2021-11-07 01:57:55.217577, try using the 'ambiguous' argument
2021-11-07T02:05:19.2808523Z 
2021-11-07T02:05:19.2808995Z pandas\_libs\tslibs\tzconversion.pyx:284: AmbiguousTimeError
2021-11-07T02:05:19.2809580Z _______ TestDatetimeArray.test_take_fill_valid['dateutil/US/Pacific'-Y] _______
2021-11-07T02:05:19.2810130Z [gw0] win32 -- Python 3.8.12 C:\Miniconda\envs\pandas-dev\python.exe
2021-11-07T02:05:19.2810472Z 
2021-11-07T02:05:19.2810965Z self = <pandas.tests.arrays.test_datetimelike.TestDatetimeArray object at 0x000001E0FDBD0C40>
2021-11-07T02:05:19.2811506Z arr1d = <DatetimeArray>
2021-11-07T02:05:19.2811955Z ['2016-12-31 01:01:00-08:00', '2017-12-31 01:01:00-08:00',
2021-11-07T02:05:19.2812540Z  '2018-12-31 01:01:00-08:00', '2019-12-31 01:01:00-08:00',
2021-11-07T02:05:19.2813014Z  '2020-12-31 01:01:00-08:00']
2021-11-07T02:05:19.2813575Z Length: 5, dtype: datetime64[ns, tzfile('US/Pacific')]
2021-11-07T02:05:19.2813837Z 
2021-11-07T02:05:19.2814273Z     def test_take_fill_valid(self, arr1d):
2021-11-07T02:05:19.2814683Z         arr = arr1d
2021-11-07T02:05:19.2815177Z         dti = self.index_cls(arr1d)
2021-11-07T02:05:19.2815535Z     
2021-11-07T02:05:19.2815969Z >       now = Timestamp.now().tz_localize(dti.tz)
2021-11-07T02:05:19.2816210Z 
2021-11-07T02:05:19.2816648Z pandas\tests\arrays\test_datetimelike.py:848: 
2021-11-07T02:05:19.2817162Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:19.2817806Z pandas\_libs\tslibs\timestamps.pyx:1729: in pandas._libs.tslibs.timestamps.Timestamp.tz_localize
2021-11-07T02:05:19.2818410Z     value = tz_localize_to_utc_single(self.value, tz,
2021-11-07T02:05:19.2818972Z pandas\_libs\tslibs\tzconversion.pyx:74: in pandas._libs.tslibs.tzconversion.tz_localize_to_utc_single
2021-11-07T02:05:19.2819542Z     return tz_localize_to_utc(
2021-11-07T02:05:19.2820006Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:19.2820396Z 
2021-11-07T02:05:19.2820743Z >   raise pytz.AmbiguousTimeError(
2021-11-07T02:05:19.2822082Z E   pytz.exceptions.AmbiguousTimeError: Cannot infer dst time from 2021-11-07 01:57:55.314576, try using the 'ambiguous' argument
2021-11-07T02:05:19.2822733Z 
2021-11-07T02:05:19.2849705Z pandas\_libs\tslibs\tzconversion.pyx:284: AmbiguousTimeError
2021-11-07T02:05:19.2850539Z _ test_maybe_promote_any_numpy_dtype_with_datetimetz[bool-'US/Eastern'-pd.Timestamp] _
2021-11-07T02:05:19.2851226Z [gw0] win32 -- Python 3.8.12 C:\Miniconda\envs\pandas-dev\python.exe
2021-11-07T02:05:19.2851536Z 
2021-11-07T02:05:19.2852138Z any_numpy_dtype_reduced = <class 'bool'>, tz_aware_fixture = 'US/Eastern'
2021-11-07T02:05:19.2852900Z fill_value = Timestamp('2021-11-07 01:55:26.738854')
2021-11-07T02:05:19.2853275Z 
2021-11-07T02:05:19.2853626Z     @pytest.mark.parametrize(
2021-11-07T02:05:19.2854060Z         "fill_value",
2021-11-07T02:05:19.2854411Z         [
2021-11-07T02:05:19.2854825Z             pd.Timestamp("now"),
2021-11-07T02:05:19.2855221Z             np.datetime64("now"),
2021-11-07T02:05:19.2855677Z             datetime.datetime.now(),
2021-11-07T02:05:19.2856078Z             datetime.date.today(),
2021-11-07T02:05:19.2856491Z         ],
2021-11-07T02:05:19.2857041Z         ids=["pd.Timestamp", "np.datetime64", "datetime.datetime", "datetime.date"],
2021-11-07T02:05:19.2857478Z     )
2021-11-07T02:05:19.2858107Z     def test_maybe_promote_any_numpy_dtype_with_datetimetz(
2021-11-07T02:05:19.2858600Z         any_numpy_dtype_reduced, tz_aware_fixture, fill_value
2021-11-07T02:05:19.2859242Z     ):
2021-11-07T02:05:19.2859626Z         dtype = np.dtype(any_numpy_dtype_reduced)
2021-11-07T02:05:19.2860176Z         fill_dtype = DatetimeTZDtype(tz=tz_aware_fixture)
2021-11-07T02:05:19.2860653Z     
2021-11-07T02:05:19.2861152Z >       fill_value = pd.Series([fill_value], dtype=fill_dtype)[0]
2021-11-07T02:05:19.2861421Z 
2021-11-07T02:05:19.2861868Z pandas\tests\dtypes\cast\test_promote.py:435: 
2021-11-07T02:05:19.2862380Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:19.2862922Z pandas\core\series.py:440: in __init__
2021-11-07T02:05:19.2863423Z     data = sanitize_array(data, index, dtype, copy)
2021-11-07T02:05:19.2863892Z pandas\core\construction.py:575: in sanitize_array
2021-11-07T02:05:19.2864450Z     subarr = _try_cast(data, dtype, copy, raise_cast_failure)
2021-11-07T02:05:19.2865240Z pandas\core\construction.py:734: in _try_cast
2021-11-07T02:05:19.2865796Z     return maybe_cast_to_datetime(arr, dtype)
2021-11-07T02:05:19.2866264Z pandas\core\dtypes\cast.py:1675: in maybe_cast_to_datetime
2021-11-07T02:05:19.2866776Z     value = dta.tz_localize(dtype.tz)
2021-11-07T02:05:19.2867272Z pandas\core\arrays\_mixins.py:74: in method
2021-11-07T02:05:19.2867707Z     return meth(self, *args, **kwargs)
2021-11-07T02:05:19.2868250Z pandas\core\arrays\datetimes.py:1045: in tz_localize
2021-11-07T02:05:19.2868721Z     new_dates = tzconversion.tz_localize_to_utc(
2021-11-07T02:05:19.2869264Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:19.2869556Z 
2021-11-07T02:05:19.2869952Z >   raise pytz.AmbiguousTimeError(
2021-11-07T02:05:19.2870545Z E   pytz.exceptions.AmbiguousTimeError: Cannot infer dst time from 2021-11-07 01:55:26.738854, try using the 'ambiguous' argument
2021-11-07T02:05:19.2871047Z 
2021-11-07T02:05:19.2871456Z pandas\_libs\tslibs\tzconversion.pyx:284: AmbiguousTimeError
2021-11-07T02:05:19.2872090Z _ test_maybe_promote_any_numpy_dtype_with_datetimetz[bool-'US/Eastern'-datetime.datetime] _
2021-11-07T02:05:19.2872655Z [gw0] win32 -- Python 3.8.12 C:\Miniconda\envs\pandas-dev\python.exe
2021-11-07T02:05:19.2873301Z 
2021-11-07T02:05:19.2873854Z any_numpy_dtype_reduced = <class 'bool'>, tz_aware_fixture = 'US/Eastern'
2021-11-07T02:05:19.2874557Z fill_value = datetime.datetime(2021, 11, 7, 1, 55, 26, 738854)
2021-11-07T02:05:19.2874836Z 
2021-11-07T02:05:19.2875235Z     @pytest.mark.parametrize(
2021-11-07T02:05:19.2875607Z         "fill_value",
2021-11-07T02:05:19.2876104Z         [
2021-11-07T02:05:19.2876434Z             pd.Timestamp("now"),
2021-11-07T02:05:19.2877017Z             np.datetime64("now"),
2021-11-07T02:05:19.2877420Z             datetime.datetime.now(),
2021-11-07T02:05:19.2877908Z             datetime.date.today(),
2021-11-07T02:05:19.2878321Z         ],
2021-11-07T02:05:19.2878765Z         ids=["pd.Timestamp", "np.datetime64", "datetime.datetime", "datetime.date"],
2021-11-07T02:05:19.2879340Z     )
2021-11-07T02:05:19.2879743Z     def test_maybe_promote_any_numpy_dtype_with_datetimetz(
2021-11-07T02:05:19.2880279Z         any_numpy_dtype_reduced, tz_aware_fixture, fill_value
2021-11-07T02:05:19.2880681Z     ):
2021-11-07T02:05:19.2881151Z         dtype = np.dtype(any_numpy_dtype_reduced)
2021-11-07T02:05:19.2881618Z         fill_dtype = DatetimeTZDtype(tz=tz_aware_fixture)
2021-11-07T02:05:19.2882058Z     
2021-11-07T02:05:19.2882510Z >       fill_value = pd.Series([fill_value], dtype=fill_dtype)[0]
2021-11-07T02:05:19.2882833Z 
2021-11-07T02:05:19.2883330Z pandas\tests\dtypes\cast\test_promote.py:435: 
2021-11-07T02:05:19.2884102Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:19.2884676Z pandas\core\series.py:440: in __init__
2021-11-07T02:05:19.2885128Z     data = sanitize_array(data, index, dtype, copy)
2021-11-07T02:05:19.2885640Z pandas\core\construction.py:575: in sanitize_array
2021-11-07T02:05:19.2886255Z     subarr = _try_cast(data, dtype, copy, raise_cast_failure)
2021-11-07T02:05:19.2886818Z pandas\core\construction.py:734: in _try_cast
2021-11-07T02:05:19.2887266Z     return maybe_cast_to_datetime(arr, dtype)
2021-11-07T02:05:19.2887876Z pandas\core\dtypes\cast.py:1675: in maybe_cast_to_datetime
2021-11-07T02:05:19.2888385Z     value = dta.tz_localize(dtype.tz)
2021-11-07T02:05:19.2888825Z pandas\core\arrays\_mixins.py:74: in method
2021-11-07T02:05:19.2889432Z     return meth(self, *args, **kwargs)
2021-11-07T02:05:19.2890043Z pandas\core\arrays\datetimes.py:1045: in tz_localize
2021-11-07T02:05:19.2890745Z     new_dates = tzconversion.tz_localize_to_utc(
2021-11-07T02:05:19.2891293Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:19.2891651Z 
2021-11-07T02:05:19.2891995Z >   raise pytz.AmbiguousTimeError(
2021-11-07T02:05:19.2892678Z E   pytz.exceptions.AmbiguousTimeError: Cannot infer dst time from 2021-11-07 01:55:26.738854, try using the 'ambiguous' argument
2021-11-07T02:05:19.2893095Z 
2021-11-07T02:05:19.2893555Z pandas\_libs\tslibs\tzconversion.pyx:284: AmbiguousTimeError
2021-11-07T02:05:19.2894219Z _ test_maybe_promote_any_numpy_dtype_with_datetimetz[bool-'dateutil/US/Pacific'-pd.Timestamp] _
2021-11-07T02:05:19.2895028Z [gw0] win32 -- Python 3.8.12 C:\Miniconda\envs\pandas-dev\python.exe
2021-11-07T02:05:19.2895345Z 
2021-11-07T02:05:19.2895762Z any_numpy_dtype_reduced = <class 'bool'>
2021-11-07T02:05:19.5505265Z Publishing test results to test run '2915250'.
2021-11-07T02:05:19.5548189Z TestResults To Publish 75765, Test run id:2915250
2021-11-07T02:05:19.5599079Z Test results publishing 1000, remaining: 74765. Test run id: 2915250
2021-11-07T02:05:19.7143771Z tz_aware_fixture = 'dateutil/US/Pacific'
2021-11-07T02:05:19.7144684Z fill_value = Timestamp('2021-11-07 01:55:26.738854')
2021-11-07T02:05:19.7145236Z 
2021-11-07T02:05:19.7146308Z     @pytest.mark.parametrize(
2021-11-07T02:05:19.7147280Z         "fill_value",
2021-11-07T02:05:19.7147964Z         [
2021-11-07T02:05:19.7148744Z             pd.Timestamp("now"),
2021-11-07T02:05:19.7149422Z             np.datetime64("now"),
2021-11-07T02:05:19.7150104Z             datetime.datetime.now(),
2021-11-07T02:05:19.7150790Z             datetime.date.today(),
2021-11-07T02:05:19.7151481Z         ],
2021-11-07T02:05:19.7152208Z         ids=["pd.Timestamp", "np.datetime64", "datetime.datetime", "datetime.date"],
2021-11-07T02:05:19.7152905Z     )
2021-11-07T02:05:19.7153579Z     def test_maybe_promote_any_numpy_dtype_with_datetimetz(
2021-11-07T02:05:19.7154323Z         any_numpy_dtype_reduced, tz_aware_fixture, fill_value
2021-11-07T02:05:19.7155006Z     ):
2021-11-07T02:05:19.7155666Z         dtype = np.dtype(any_numpy_dtype_reduced)
2021-11-07T02:05:19.7156402Z         fill_dtype = DatetimeTZDtype(tz=tz_aware_fixture)
2021-11-07T02:05:19.7157059Z     
2021-11-07T02:05:19.7157720Z >       fill_value = pd.Series([fill_value], dtype=fill_dtype)[0]
2021-11-07T02:05:19.7158249Z 
2021-11-07T02:05:19.7158912Z pandas\tests\dtypes\cast\test_promote.py:435: 
2021-11-07T02:05:19.7159703Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:19.7160475Z pandas\core\series.py:440: in __init__
2021-11-07T02:05:19.7161229Z     data = sanitize_array(data, index, dtype, copy)
2021-11-07T02:05:19.7161979Z pandas\core\construction.py:575: in sanitize_array
2021-11-07T02:05:19.7162720Z     subarr = _try_cast(data, dtype, copy, raise_cast_failure)
2021-11-07T02:05:19.7163472Z pandas\core\construction.py:734: in _try_cast
2021-11-07T02:05:19.7164199Z     return maybe_cast_to_datetime(arr, dtype)
2021-11-07T02:05:19.7164934Z pandas\core\dtypes\cast.py:1675: in maybe_cast_to_datetime
2021-11-07T02:05:19.7165664Z     value = dta.tz_localize(dtype.tz)
2021-11-07T02:05:19.7166453Z pandas\core\arrays\_mixins.py:74: in method
2021-11-07T02:05:19.7167148Z     return meth(self, *args, **kwargs)
2021-11-07T02:05:19.7167911Z pandas\core\arrays\datetimes.py:1045: in tz_localize
2021-11-07T02:05:19.7168959Z     new_dates = tzconversion.tz_localize_to_utc(
2021-11-07T02:05:19.7169721Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:19.7170413Z 
2021-11-07T02:05:19.7171084Z >   raise pytz.AmbiguousTimeError(
2021-11-07T02:05:19.7172039Z E   pytz.exceptions.AmbiguousTimeError: Cannot infer dst time from 2021-11-07 01:55:26.738854, try using the 'ambiguous' argument
2021-11-07T02:05:19.7172675Z 
2021-11-07T02:05:19.7173319Z pandas\_libs\tslibs\tzconversion.pyx:284: AmbiguousTimeError
2021-11-07T02:05:19.7174116Z _ test_maybe_promote_any_numpy_dtype_with_datetimetz[bool-'dateutil/US/Pacific'-datetime.datetime] _
2021-11-07T02:05:19.7174905Z [gw0] win32 -- Python 3.8.12 C:\Miniconda\envs\pandas-dev\python.exe
2021-11-07T02:05:19.7175414Z 
2021-11-07T02:05:19.7175991Z any_numpy_dtype_reduced = <class 'bool'>
2021-11-07T02:05:19.7176642Z tz_aware_fixture = 'dateutil/US/Pacific'
2021-11-07T02:05:19.7177347Z fill_value = datetime.datetime(2021, 11, 7, 1, 55, 26, 738854)
2021-11-07T02:05:19.7177811Z 
2021-11-07T02:05:19.7178576Z     @pytest.mark.parametrize(
2021-11-07T02:05:19.7179213Z         "fill_value",
2021-11-07T02:05:19.7179834Z         [
2021-11-07T02:05:19.7180454Z             pd.Timestamp("now"),
2021-11-07T02:05:19.7181171Z             np.datetime64("now"),
2021-11-07T02:05:19.7181859Z             datetime.datetime.now(),
2021-11-07T02:05:19.7182523Z             datetime.date.today(),
2021-11-07T02:05:19.7183167Z         ],
2021-11-07T02:05:19.7183969Z         ids=["pd.Timestamp", "np.datetime64", "datetime.datetime", "datetime.date"],
2021-11-07T02:05:19.7185273Z     )
2021-11-07T02:05:19.7186018Z     def test_maybe_promote_any_numpy_dtype_with_datetimetz(
2021-11-07T02:05:19.7186789Z         any_numpy_dtype_reduced, tz_aware_fixture, fill_value
2021-11-07T02:05:19.7187472Z     ):
2021-11-07T02:05:19.7188129Z         dtype = np.dtype(any_numpy_dtype_reduced)
2021-11-07T02:05:19.7188889Z         fill_dtype = DatetimeTZDtype(tz=tz_aware_fixture)
2021-11-07T02:05:19.7189558Z     
2021-11-07T02:05:19.7190267Z >       fill_value = pd.Series([fill_value], dtype=fill_dtype)[0]
2021-11-07T02:05:19.7190819Z 
2021-11-07T02:05:19.7191552Z pandas\tests\dtypes\cast\test_promote.py:435: 
2021-11-07T02:05:19.7192348Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:19.7193123Z pandas\core\series.py:440: in __init__
2021-11-07T02:05:19.7193866Z     data = sanitize_array(data, index, dtype, copy)
2021-11-07T02:05:19.7194601Z pandas\core\construction.py:575: in sanitize_array
2021-11-07T02:05:19.7195366Z     subarr = _try_cast(data, dtype, copy, raise_cast_failure)
2021-11-07T02:05:19.7196103Z pandas\core\construction.py:734: in _try_cast
2021-11-07T02:05:19.7196838Z     return maybe_cast_to_datetime(arr, dtype)
2021-11-07T02:05:19.7197594Z pandas\core\dtypes\cast.py:1675: in maybe_cast_to_datetime
2021-11-07T02:05:19.7198316Z     value = dta.tz_localize(dtype.tz)
2021-11-07T02:05:19.7199031Z pandas\core\arrays\_mixins.py:74: in method
2021-11-07T02:05:19.7199722Z     return meth(self, *args, **kwargs)
2021-11-07T02:05:19.7200463Z pandas\core\arrays\datetimes.py:1045: in tz_localize
2021-11-07T02:05:19.7201377Z     new_dates = tzconversion.tz_localize_to_utc(
2021-11-07T02:05:19.7202077Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:19.7202676Z 
2021-11-07T02:05:19.7203254Z >   raise pytz.AmbiguousTimeError(
2021-11-07T02:05:19.7204070Z E   pytz.exceptions.AmbiguousTimeError: Cannot infer dst time from 2021-11-07 01:55:26.738854, try using the 'ambiguous' argument
2021-11-07T02:05:19.7204672Z 
2021-11-07T02:05:19.7205317Z pandas\_libs\tslibs\tzconversion.pyx:284: AmbiguousTimeError
2021-11-07T02:05:19.7206083Z _ test_maybe_promote_any_numpy_dtype_with_datetimetz[uint8-'US/Eastern'-pd.Timestamp] _
2021-11-07T02:05:19.7206844Z [gw0] win32 -- Python 3.8.12 C:\Miniconda\envs\pandas-dev\python.exe
2021-11-07T02:05:19.7207824Z 
2021-11-07T02:05:19.7208458Z any_numpy_dtype_reduced = 'uint8', tz_aware_fixture = 'US/Eastern'
2021-11-07T02:05:19.7209179Z fill_value = Timestamp('2021-11-07 01:55:26.738854')
2021-11-07T02:05:19.7209777Z 
2021-11-07T02:05:19.7210364Z     @pytest.mark.parametrize(
2021-11-07T02:05:19.7210949Z         "fill_value",
2021-11-07T02:05:19.7211688Z         [
2021-11-07T02:05:19.7212300Z             pd.Timestamp("now"),
2021-11-07T02:05:19.7212911Z             np.datetime64("now"),
2021-11-07T02:05:19.7213530Z             datetime.datetime.now(),
2021-11-07T02:05:19.7214171Z             datetime.date.today(),
2021-11-07T02:05:19.7214759Z         ],
2021-11-07T02:05:19.7215622Z         ids=["pd.Timestamp", "np.datetime64", "datetime.datetime", "datetime.date"],
2021-11-07T02:05:19.7216334Z     )
2021-11-07T02:05:19.7216998Z     def test_maybe_promote_any_numpy_dtype_with_datetimetz(
2021-11-07T02:05:19.7217766Z         any_numpy_dtype_reduced, tz_aware_fixture, fill_value
2021-11-07T02:05:19.7218489Z     ):
2021-11-07T02:05:19.7219144Z         dtype = np.dtype(any_numpy_dtype_reduced)
2021-11-07T02:05:19.7219983Z         fill_dtype = DatetimeTZDtype(tz=tz_aware_fixture)
2021-11-07T02:05:19.7220635Z     
2021-11-07T02:05:19.7221364Z >       fill_value = pd.Series([fill_value], dtype=fill_dtype)[0]
2021-11-07T02:05:19.7221873Z 
2021-11-07T02:05:19.7222544Z pandas\tests\dtypes\cast\test_promote.py:435: 
2021-11-07T02:05:19.7223339Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:19.7224095Z pandas\core\series.py:440: in __init__
2021-11-07T02:05:19.7224825Z     data = sanitize_array(data, index, dtype, copy)
2021-11-07T02:05:19.7225558Z pandas\core\construction.py:575: in sanitize_array
2021-11-07T02:05:19.7226323Z     subarr = _try_cast(data, dtype, copy, raise_cast_failure)
2021-11-07T02:05:19.7227072Z pandas\core\construction.py:734: in _try_cast
2021-11-07T02:05:19.7227798Z     return maybe_cast_to_datetime(arr, dtype)
2021-11-07T02:05:19.7228552Z pandas\core\dtypes\cast.py:1675: in maybe_cast_to_datetime
2021-11-07T02:05:19.7229287Z     value = dta.tz_localize(dtype.tz)
2021-11-07T02:05:19.7229982Z pandas\core\arrays\_mixins.py:74: in method
2021-11-07T02:05:19.7230708Z     return meth(self, *args, **kwargs)
2021-11-07T02:05:19.7231465Z pandas\core\arrays\datetimes.py:1045: in tz_localize
2021-11-07T02:05:19.7232218Z     new_dates = tzconversion.tz_localize_to_utc(
2021-11-07T02:05:19.7232990Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:19.7233516Z 
2021-11-07T02:05:19.7234164Z >   raise pytz.AmbiguousTimeError(
2021-11-07T02:05:19.7235044Z E   pytz.exceptions.AmbiguousTimeError: Cannot infer dst time from 2021-11-07 01:55:26.738854, try using the 'ambiguous' argument
2021-11-07T02:05:19.7235722Z 
2021-11-07T02:05:19.7236405Z pandas\_libs\tslibs\tzconversion.pyx:284: AmbiguousTimeError
2021-11-07T02:05:19.7237321Z _ test_maybe_promote_any_numpy_dtype_with_datetimetz[uint8-'US/Eastern'-datetime.datetime] _
2021-11-07T02:05:19.7238170Z [gw0] win32 -- Python 3.8.12 C:\Miniconda\envs\pandas-dev\python.exe
2021-11-07T02:05:19.7238715Z 
2021-11-07T02:05:19.7239395Z any_numpy_dtype_reduced = 'uint8', tz_aware_fixture = 'US/Eastern'
2021-11-07T02:05:19.7240172Z fill_value = datetime.datetime(2021, 11, 7, 1, 55, 26, 738854)
2021-11-07T02:05:19.7240674Z 
2021-11-07T02:05:19.7241711Z     @pytest.mark.parametrize(
2021-11-07T02:05:19.7242441Z         "fill_value",
2021-11-07T02:05:19.7243048Z         [
2021-11-07T02:05:19.7243687Z             pd.Timestamp("now"),
2021-11-07T02:05:19.7244341Z             np.datetime64("now"),
2021-11-07T02:05:19.7245022Z             datetime.datetime.now(),
2021-11-07T02:05:19.7245707Z             datetime.date.today(),
2021-11-07T02:05:19.7246338Z         ],
2021-11-07T02:05:19.7247057Z         ids=["pd.Timestamp", "np.datetime64", "datetime.datetime", "datetime.date"],
2021-11-07T02:05:19.7247935Z     )
2021-11-07T02:05:19.7248603Z     def test_maybe_promote_any_numpy_dtype_with_datetimetz(
2021-11-07T02:05:19.7249368Z         any_numpy_dtype_reduced, tz_aware_fixture, fill_value
2021-11-07T02:05:19.7250032Z     ):
2021-11-07T02:05:19.7250825Z         dtype = np.dtype(any_numpy_dtype_reduced)
2021-11-07T02:05:19.7251608Z         fill_dtype = DatetimeTZDtype(tz=tz_aware_fixture)
2021-11-07T02:05:19.7255606Z     
2021-11-07T02:05:19.7256700Z >       fill_value = pd.Series([fill_value], dtype=fill_dtype)[0]
2021-11-07T02:05:19.7257228Z 
2021-11-07T02:05:19.7257911Z pandas\tests\dtypes\cast\test_promote.py:435: 
2021-11-07T02:05:19.7258691Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:19.7259581Z pandas\core\series.py:440: in __init__
2021-11-07T02:05:19.7260436Z     data = sanitize_array(data, index, dtype, copy)
2021-11-07T02:05:19.7261446Z pandas\core\construction.py:575: in sanitize_array
2021-11-07T02:05:19.7262161Z     subarr = _try_cast(data, dtype, copy, raise_cast_failure)
2021-11-07T02:05:19.7263021Z pandas\core\construction.py:734: in _try_cast
2021-11-07T02:05:19.7263759Z     return maybe_cast_to_datetime(arr, dtype)
2021-11-07T02:05:19.7264514Z pandas\core\dtypes\cast.py:1675: in maybe_cast_to_datetime
2021-11-07T02:05:19.7265234Z     value = dta.tz_localize(dtype.tz)
2021-11-07T02:05:19.7265950Z pandas\core\arrays\_mixins.py:74: in method
2021-11-07T02:05:19.7266661Z     return meth(self, *args, **kwargs)
2021-11-07T02:05:19.7267381Z pandas\core\arrays\datetimes.py:1045: in tz_localize
2021-11-07T02:05:19.7268132Z     new_dates = tzconversion.tz_localize_to_utc(
2021-11-07T02:05:19.7268889Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:19.7269436Z 
2021-11-07T02:05:19.7270046Z >   raise pytz.AmbiguousTimeError(
2021-11-07T02:05:19.7270927Z E   pytz.exceptions.AmbiguousTimeError: Cannot infer dst time from 2021-11-07 01:55:26.738854, try using the 'ambiguous' argument
2021-11-07T02:05:19.7271778Z 
2021-11-07T02:05:19.7272475Z pandas\_libs\tslibs\tzconversion.pyx:284: AmbiguousTimeError
2021-11-07T02:05:19.7273315Z _ test_maybe_promote_any_numpy_dtype_with_datetimetz[uint8-'dateutil/US/Pacific'-pd.Timestamp] _
2021-11-07T02:05:19.7274163Z [gw0] win32 -- Python 3.8.12 C:\Miniconda\envs\pandas-dev\python.exe
2021-11-07T02:05:19.7274711Z 
2021-11-07T02:05:19.7275390Z any_numpy_dtype_reduced = 'uint8', tz_aware_fixture = 'dateutil/US/Pacific'
2021-11-07T02:05:19.7276188Z fill_value = Timestamp('2021-11-07 01:55:26.738854')
2021-11-07T02:05:19.7276697Z 
2021-11-07T02:05:19.7277400Z     @pytest.mark.parametrize(
2021-11-07T02:05:19.7278042Z         "fill_value",
2021-11-07T02:05:19.7278680Z         [
2021-11-07T02:05:19.7279317Z             pd.Timestamp("now"),
2021-11-07T02:05:19.7279976Z             np.datetime64("now"),
2021-11-07T02:05:19.7280653Z             datetime.datetime.now(),
2021-11-07T02:05:19.7281358Z             datetime.date.today(),
2021-11-07T02:05:19.7282007Z         ],
2021-11-07T02:05:20.0366747Z Test results publishing 1000, remaining: 73765. Test run id: 2915250
2021-11-07T02:05:20.3408212Z Test results publishing 1000, remaining: 72765. Test run id: 2915250
2021-11-07T02:05:20.5353659Z         ids=["pd.Timestamp", "np.datetime64", "datetime.datetime", "datetime.date"],
2021-11-07T02:05:20.5355566Z     )
2021-11-07T02:05:20.5356570Z     def test_maybe_promote_any_numpy_dtype_with_datetimetz(
2021-11-07T02:05:20.5357335Z         any_numpy_dtype_reduced, tz_aware_fixture, fill_value
2021-11-07T02:05:20.5357988Z     ):
2021-11-07T02:05:20.5358591Z         dtype = np.dtype(any_numpy_dtype_reduced)
2021-11-07T02:05:20.5359283Z         fill_dtype = DatetimeTZDtype(tz=tz_aware_fixture)
2021-11-07T02:05:20.5359899Z     
2021-11-07T02:05:20.5360559Z >       fill_value = pd.Series([fill_value], dtype=fill_dtype)[0]
2021-11-07T02:05:20.5361056Z 
2021-11-07T02:05:20.5361710Z pandas\tests\dtypes\cast\test_promote.py:435: 
2021-11-07T02:05:20.5362800Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:20.5363501Z pandas\core\series.py:440: in __init__
2021-11-07T02:05:20.5364178Z     data = sanitize_array(data, index, dtype, copy)
2021-11-07T02:05:20.5365016Z pandas\core\construction.py:575: in sanitize_array
2021-11-07T02:05:20.5366033Z     subarr = _try_cast(data, dtype, copy, raise_cast_failure)
2021-11-07T02:05:20.5366789Z pandas\core\construction.py:734: in _try_cast
2021-11-07T02:05:20.5367507Z     return maybe_cast_to_datetime(arr, dtype)
2021-11-07T02:05:20.5368251Z pandas\core\dtypes\cast.py:1675: in maybe_cast_to_datetime
2021-11-07T02:05:20.5368980Z     value = dta.tz_localize(dtype.tz)
2021-11-07T02:05:20.5369674Z pandas\core\arrays\_mixins.py:74: in method
2021-11-07T02:05:20.5370433Z     return meth(self, *args, **kwargs)
2021-11-07T02:05:20.5371221Z pandas\core\arrays\datetimes.py:1045: in tz_localize
2021-11-07T02:05:20.5371960Z     new_dates = tzconversion.tz_localize_to_utc(
2021-11-07T02:05:20.5372749Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:20.5373290Z 
2021-11-07T02:05:20.5373924Z >   raise pytz.AmbiguousTimeError(
2021-11-07T02:05:20.5374797Z E   pytz.exceptions.AmbiguousTimeError: Cannot infer dst time from 2021-11-07 01:55:26.738854, try using the 'ambiguous' argument
2021-11-07T02:05:20.5375489Z 
2021-11-07T02:05:20.5376170Z pandas\_libs\tslibs\tzconversion.pyx:284: AmbiguousTimeError
2021-11-07T02:05:20.5377020Z _ test_maybe_promote_any_numpy_dtype_with_datetimetz[uint8-'dateutil/US/Pacific'-datetime.datetime] _
2021-11-07T02:05:20.5377931Z [gw0] win32 -- Python 3.8.12 C:\Miniconda\envs\pandas-dev\python.exe
2021-11-07T02:05:20.5378494Z 
2021-11-07T02:05:20.5379207Z any_numpy_dtype_reduced = 'uint8', tz_aware_fixture = 'dateutil/US/Pacific'
2021-11-07T02:05:20.5379981Z fill_value = datetime.datetime(2021, 11, 7, 1, 55, 26, 738854)
2021-11-07T02:05:20.5380790Z 
2021-11-07T02:05:20.5381406Z     @pytest.mark.parametrize(
2021-11-07T02:05:20.5382172Z         "fill_value",
2021-11-07T02:05:20.5382763Z         [
2021-11-07T02:05:20.5383364Z             pd.Timestamp("now"),
2021-11-07T02:05:20.5384075Z             np.datetime64("now"),
2021-11-07T02:05:20.5384702Z             datetime.datetime.now(),
2021-11-07T02:05:20.5385340Z             datetime.date.today(),
2021-11-07T02:05:20.5385939Z         ],
2021-11-07T02:05:20.5386593Z         ids=["pd.Timestamp", "np.datetime64", "datetime.datetime", "datetime.date"],
2021-11-07T02:05:20.5387270Z     )
2021-11-07T02:05:20.5387885Z     def test_maybe_promote_any_numpy_dtype_with_datetimetz(
2021-11-07T02:05:20.5388600Z         any_numpy_dtype_reduced, tz_aware_fixture, fill_value
2021-11-07T02:05:20.5389232Z     ):
2021-11-07T02:05:20.5389838Z         dtype = np.dtype(any_numpy_dtype_reduced)
2021-11-07T02:05:20.5390571Z         fill_dtype = DatetimeTZDtype(tz=tz_aware_fixture)
2021-11-07T02:05:20.5391175Z     
2021-11-07T02:05:20.5391812Z >       fill_value = pd.Series([fill_value], dtype=fill_dtype)[0]
2021-11-07T02:05:20.5392296Z 
2021-11-07T02:05:20.5392920Z pandas\tests\dtypes\cast\test_promote.py:435: 
2021-11-07T02:05:20.5393662Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:20.5394375Z pandas\core\series.py:440: in __init__
2021-11-07T02:05:20.5395051Z     data = sanitize_array(data, index, dtype, copy)
2021-11-07T02:05:20.5395732Z pandas\core\construction.py:575: in sanitize_array
2021-11-07T02:05:20.5396439Z     subarr = _try_cast(data, dtype, copy, raise_cast_failure)
2021-11-07T02:05:20.5397139Z pandas\core\construction.py:734: in _try_cast
2021-11-07T02:05:20.5397976Z     return maybe_cast_to_datetime(arr, dtype)
2021-11-07T02:05:20.5398764Z pandas\core\dtypes\cast.py:1675: in maybe_cast_to_datetime
2021-11-07T02:05:20.5399496Z     value = dta.tz_localize(dtype.tz)
2021-11-07T02:05:20.5400267Z pandas\core\arrays\_mixins.py:74: in method
2021-11-07T02:05:20.5401079Z     return meth(self, *args, **kwargs)
2021-11-07T02:05:20.5401986Z pandas\core\arrays\datetimes.py:1045: in tz_localize
2021-11-07T02:05:20.5402745Z     new_dates = tzconversion.tz_localize_to_utc(
2021-11-07T02:05:20.5403505Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:20.5404191Z 
2021-11-07T02:05:20.5404817Z >   raise pytz.AmbiguousTimeError(
2021-11-07T02:05:20.5405753Z E   pytz.exceptions.AmbiguousTimeError: Cannot infer dst time from 2021-11-07 01:55:26.738854, try using the 'ambiguous' argument
2021-11-07T02:05:20.5406407Z 
2021-11-07T02:05:20.5407165Z pandas\_libs\tslibs\tzconversion.pyx:284: AmbiguousTimeError
2021-11-07T02:05:20.5408049Z _ test_maybe_promote_any_numpy_dtype_with_datetimetz[int32-'US/Eastern'-pd.Timestamp] _
2021-11-07T02:05:20.5408954Z [gw0] win32 -- Python 3.8.12 C:\Miniconda\envs\pandas-dev\python.exe
2021-11-07T02:05:20.5409531Z 
2021-11-07T02:05:20.5410299Z any_numpy_dtype_reduced = 'int32', tz_aware_fixture = 'US/Eastern'
2021-11-07T02:05:20.5411119Z fill_value = Timestamp('2021-11-07 01:55:26.738854')
2021-11-07T02:05:20.5411634Z 
2021-11-07T02:05:20.5412368Z     @pytest.mark.parametrize(
2021-11-07T02:05:20.5412961Z         "fill_value",
2021-11-07T02:05:20.5413544Z         [
2021-11-07T02:05:20.5414129Z             pd.Timestamp("now"),
2021-11-07T02:05:20.5414732Z             np.datetime64("now"),
2021-11-07T02:05:20.5415381Z             datetime.datetime.now(),
2021-11-07T02:05:20.5416202Z             datetime.date.today(),
2021-11-07T02:05:20.5416837Z         ],
2021-11-07T02:05:20.5417549Z         ids=["pd.Timestamp", "np.datetime64", "datetime.datetime", "datetime.date"],
2021-11-07T02:05:20.5418237Z     )
2021-11-07T02:05:20.5418993Z     def test_maybe_promote_any_numpy_dtype_with_datetimetz(
2021-11-07T02:05:20.5419850Z         any_numpy_dtype_reduced, tz_aware_fixture, fill_value
2021-11-07T02:05:20.5420577Z     ):
2021-11-07T02:05:20.5421265Z         dtype = np.dtype(any_numpy_dtype_reduced)
2021-11-07T02:05:20.5422023Z         fill_dtype = DatetimeTZDtype(tz=tz_aware_fixture)
2021-11-07T02:05:20.5422671Z     
2021-11-07T02:05:20.5423345Z >       fill_value = pd.Series([fill_value], dtype=fill_dtype)[0]
2021-11-07T02:05:20.5423862Z 
2021-11-07T02:05:20.5424533Z pandas\tests\dtypes\cast\test_promote.py:435: 
2021-11-07T02:05:20.5425303Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:20.5426067Z pandas\core\series.py:440: in __init__
2021-11-07T02:05:20.5426796Z     data = sanitize_array(data, index, dtype, copy)
2021-11-07T02:05:20.5427522Z pandas\core\construction.py:575: in sanitize_array
2021-11-07T02:05:20.5428552Z     subarr = _try_cast(data, dtype, copy, raise_cast_failure)
2021-11-07T02:05:20.5429291Z pandas\core\construction.py:734: in _try_cast
2021-11-07T02:05:20.5430012Z     return maybe_cast_to_datetime(arr, dtype)
2021-11-07T02:05:20.5430808Z pandas\core\dtypes\cast.py:1675: in maybe_cast_to_datetime
2021-11-07T02:05:20.5431536Z     value = dta.tz_localize(dtype.tz)
2021-11-07T02:05:20.5432249Z pandas\core\arrays\_mixins.py:74: in method
2021-11-07T02:05:20.5432949Z     return meth(self, *args, **kwargs)
2021-11-07T02:05:20.5433682Z pandas\core\arrays\datetimes.py:1045: in tz_localize
2021-11-07T02:05:20.5434429Z     new_dates = tzconversion.tz_localize_to_utc(
2021-11-07T02:05:20.5435174Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:20.5435723Z 
2021-11-07T02:05:20.5436411Z >   raise pytz.AmbiguousTimeError(
2021-11-07T02:05:20.5437290Z E   pytz.exceptions.AmbiguousTimeError: Cannot infer dst time from 2021-11-07 01:55:26.738854, try using the 'ambiguous' argument
2021-11-07T02:05:20.5437947Z 
2021-11-07T02:05:20.5438641Z pandas\_libs\tslibs\tzconversion.pyx:284: AmbiguousTimeError
2021-11-07T02:05:20.5439466Z _ test_maybe_promote_any_numpy_dtype_with_datetimetz[int32-'US/Eastern'-datetime.datetime] _
2021-11-07T02:05:20.5440336Z [gw0] win32 -- Python 3.8.12 C:\Miniconda\envs\pandas-dev\python.exe
2021-11-07T02:05:20.5441039Z 
2021-11-07T02:05:20.5441704Z any_numpy_dtype_reduced = 'int32', tz_aware_fixture = 'US/Eastern'
2021-11-07T02:05:20.5442742Z fill_value = datetime.datetime(2021, 11, 7, 1, 55, 26, 738854)
2021-11-07T02:05:20.5443340Z 
2021-11-07T02:05:20.5444094Z     @pytest.mark.parametrize(
2021-11-07T02:05:20.5444683Z         "fill_value",
2021-11-07T02:05:20.5445249Z         [
2021-11-07T02:05:20.5445817Z             pd.Timestamp("now"),
2021-11-07T02:05:20.5446444Z             np.datetime64("now"),
2021-11-07T02:05:20.5447092Z             datetime.datetime.now(),
2021-11-07T02:05:20.5447702Z             datetime.date.today(),
2021-11-07T02:05:20.5448293Z         ],
2021-11-07T02:05:20.5448939Z         ids=["pd.Timestamp", "np.datetime64", "datetime.datetime", "datetime.date"],
2021-11-07T02:05:20.5449599Z     )
2021-11-07T02:05:20.5450259Z     def test_maybe_promote_any_numpy_dtype_with_datetimetz(
2021-11-07T02:05:20.5450951Z         any_numpy_dtype_reduced, tz_aware_fixture, fill_value
2021-11-07T02:05:20.5451577Z     ):
2021-11-07T02:05:20.5452190Z         dtype = np.dtype(any_numpy_dtype_reduced)
2021-11-07T02:05:20.5452854Z         fill_dtype = DatetimeTZDtype(tz=tz_aware_fixture)
2021-11-07T02:05:20.5453487Z     
2021-11-07T02:05:20.5454220Z >       fill_value = pd.Series([fill_value], dtype=fill_dtype)[0]
2021-11-07T02:05:20.5454717Z 
2021-11-07T02:05:20.5455335Z pandas\tests\dtypes\cast\test_promote.py:435: 
2021-11-07T02:05:20.5456062Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:20.5456771Z pandas\core\series.py:440: in __init__
2021-11-07T02:05:20.5457423Z     data = sanitize_array(data, index, dtype, copy)
2021-11-07T02:05:20.5458111Z pandas\core\construction.py:575: in sanitize_array
2021-11-07T02:05:20.5458796Z     subarr = _try_cast(data, dtype, copy, raise_cast_failure)
2021-11-07T02:05:20.5459486Z pandas\core\construction.py:734: in _try_cast
2021-11-07T02:05:20.5460206Z     return maybe_cast_to_datetime(arr, dtype)
2021-11-07T02:05:20.5460891Z pandas\core\dtypes\cast.py:1675: in maybe_cast_to_datetime
2021-11-07T02:05:20.5461569Z     value = dta.tz_localize(dtype.tz)
2021-11-07T02:05:20.5462253Z pandas\core\arrays\_mixins.py:74: in method
2021-11-07T02:05:20.5462914Z     return meth(self, *args, **kwargs)
2021-11-07T02:05:20.5463588Z pandas\core\arrays\datetimes.py:1045: in tz_localize
2021-11-07T02:05:20.5464291Z     new_dates = tzconversion.tz_localize_to_utc(
2021-11-07T02:05:20.5465198Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:20.5465746Z 
2021-11-07T02:05:20.5466353Z >   raise pytz.AmbiguousTimeError(
2021-11-07T02:05:20.5467236Z E   pytz.exceptions.AmbiguousTimeError: Cannot infer dst time from 2021-11-07 01:55:26.738854, try using the 'ambiguous' argument
2021-11-07T02:05:20.5467886Z 
2021-11-07T02:05:20.5468590Z pandas\_libs\tslibs\tzconversion.pyx:284: AmbiguousTimeError
2021-11-07T02:05:20.5469436Z _ test_maybe_promote_any_numpy_dtype_with_datetimetz[int32-'dateutil/US/Pacific'-pd.Timestamp] _
2021-11-07T02:05:20.5470605Z [gw0] win32 -- Python 3.8.12 C:\Miniconda\envs\pandas-dev\python.exe
2021-11-07T02:05:20.5471290Z 
2021-11-07T02:05:20.5471988Z any_numpy_dtype_reduced = 'int32', tz_aware_fixture = 'dateutil/US/Pacific'
2021-11-07T02:05:20.5472796Z fill_value = Timestamp('2021-11-07 01:55:26.738854')
2021-11-07T02:05:20.5473305Z 
2021-11-07T02:05:20.5473925Z     @pytest.mark.parametrize(
2021-11-07T02:05:20.5474556Z         "fill_value",
2021-11-07T02:05:20.5475173Z         [
2021-11-07T02:05:20.5475802Z             pd.Timestamp("now"),
2021-11-07T02:05:20.5476466Z             np.datetime64("now"),
2021-11-07T02:05:20.5477148Z             datetime.datetime.now(),
2021-11-07T02:05:20.5477826Z             datetime.date.today(),
2021-11-07T02:05:20.5478470Z         ],
2021-11-07T02:05:20.5479187Z         ids=["pd.Timestamp", "np.datetime64", "datetime.datetime", "datetime.date"],
2021-11-07T02:05:20.5480030Z     )
2021-11-07T02:05:20.5480753Z     def test_maybe_promote_any_numpy_dtype_with_datetimetz(
2021-11-07T02:05:20.5481498Z         any_numpy_dtype_reduced, tz_aware_fixture, fill_value
2021-11-07T02:05:20.5482287Z     ):
2021-11-07T02:05:20.5483081Z         dtype = np.dtype(any_numpy_dtype_reduced)
2021-11-07T02:05:20.6589856Z Test results publishing 1000, remaining: 71765. Test run id: 2915250
2021-11-07T02:05:20.9819385Z Test results publishing 1000, remaining: 70765. Test run id: 2915250
2021-11-07T02:05:21.2786961Z Test results publishing 1000, remaining: 69765. Test run id: 2915250
2021-11-07T02:05:21.3677724Z         fill_dtype = DatetimeTZDtype(tz=tz_aware_fixture)
2021-11-07T02:05:21.3679556Z     
2021-11-07T02:05:21.3680758Z >       fill_value = pd.Series([fill_value], dtype=fill_dtype)[0]
2021-11-07T02:05:21.3681431Z 
2021-11-07T02:05:21.3682432Z pandas\tests\dtypes\cast\test_promote.py:435: 
2021-11-07T02:05:21.3683390Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:21.3684335Z pandas\core\series.py:440: in __init__
2021-11-07T02:05:21.3685184Z     data = sanitize_array(data, index, dtype, copy)
2021-11-07T02:05:21.3686072Z pandas\core\construction.py:575: in sanitize_array
2021-11-07T02:05:21.3687069Z     subarr = _try_cast(data, dtype, copy, raise_cast_failure)
2021-11-07T02:05:21.3687979Z pandas\core\construction.py:734: in _try_cast
2021-11-07T02:05:21.3688839Z     return maybe_cast_to_datetime(arr, dtype)
2021-11-07T02:05:21.3689706Z pandas\core\dtypes\cast.py:1675: in maybe_cast_to_datetime
2021-11-07T02:05:21.3690577Z     value = dta.tz_localize(dtype.tz)
2021-11-07T02:05:21.3691405Z pandas\core\arrays\_mixins.py:74: in method
2021-11-07T02:05:21.3692261Z     return meth(self, *args, **kwargs)
2021-11-07T02:05:21.3693127Z pandas\core\arrays\datetimes.py:1045: in tz_localize
2021-11-07T02:05:21.3693995Z     new_dates = tzconversion.tz_localize_to_utc(
2021-11-07T02:05:21.3694912Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:21.3695550Z 
2021-11-07T02:05:21.3696304Z >   raise pytz.AmbiguousTimeError(
2021-11-07T02:05:21.3697401Z E   pytz.exceptions.AmbiguousTimeError: Cannot infer dst time from 2021-11-07 01:55:26.738854, try using the 'ambiguous' argument
2021-11-07T02:05:21.3698300Z 
2021-11-07T02:05:21.3698992Z pandas\_libs\tslibs\tzconversion.pyx:284: AmbiguousTimeError
2021-11-07T02:05:21.3699824Z _ test_maybe_promote_any_numpy_dtype_with_datetimetz[int32-'dateutil/US/Pacific'-datetime.datetime] _
2021-11-07T02:05:21.3700799Z [gw0] win32 -- Python 3.8.12 C:\Miniconda\envs\pandas-dev\python.exe
2021-11-07T02:05:21.3701290Z 
2021-11-07T02:05:21.3701931Z any_numpy_dtype_reduced = 'int32', tz_aware_fixture = 'dateutil/US/Pacific'
2021-11-07T02:05:21.3702728Z fill_value = datetime.datetime(2021, 11, 7, 1, 55, 26, 738854)
2021-11-07T02:05:21.3703209Z 
2021-11-07T02:05:21.3703771Z     @pytest.mark.parametrize(
2021-11-07T02:05:21.3704407Z         "fill_value",
2021-11-07T02:05:21.3704990Z         [
2021-11-07T02:05:21.3705589Z             pd.Timestamp("now"),
2021-11-07T02:05:21.3706366Z             np.datetime64("now"),
2021-11-07T02:05:21.3707242Z             datetime.datetime.now(),
2021-11-07T02:05:21.3707870Z             datetime.date.today(),
2021-11-07T02:05:21.3708464Z         ],
2021-11-07T02:05:21.3709333Z         ids=["pd.Timestamp", "np.datetime64", "datetime.datetime", "datetime.date"],
2021-11-07T02:05:21.3710063Z     )
2021-11-07T02:05:21.3710813Z     def test_maybe_promote_any_numpy_dtype_with_datetimetz(
2021-11-07T02:05:21.3711506Z         any_numpy_dtype_reduced, tz_aware_fixture, fill_value
2021-11-07T02:05:21.3712137Z     ):
2021-11-07T02:05:21.3712751Z         dtype = np.dtype(any_numpy_dtype_reduced)
2021-11-07T02:05:21.3713415Z         fill_dtype = DatetimeTZDtype(tz=tz_aware_fixture)
2021-11-07T02:05:21.3714055Z     
2021-11-07T02:05:21.3714670Z >       fill_value = pd.Series([fill_value], dtype=fill_dtype)[0]
2021-11-07T02:05:21.3715469Z 
2021-11-07T02:05:21.3716078Z pandas\tests\dtypes\cast\test_promote.py:435: 
2021-11-07T02:05:21.3717124Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:21.3718038Z pandas\core\series.py:440: in __init__
2021-11-07T02:05:21.3718748Z     data = sanitize_array(data, index, dtype, copy)
2021-11-07T02:05:21.3719496Z pandas\core\construction.py:575: in sanitize_array
2021-11-07T02:05:21.3720235Z     subarr = _try_cast(data, dtype, copy, raise_cast_failure)
2021-11-07T02:05:21.3721077Z pandas\core\construction.py:734: in _try_cast
2021-11-07T02:05:21.3721817Z     return maybe_cast_to_datetime(arr, dtype)
2021-11-07T02:05:21.3722541Z pandas\core\dtypes\cast.py:1675: in maybe_cast_to_datetime
2021-11-07T02:05:21.3723282Z     value = dta.tz_localize(dtype.tz)
2021-11-07T02:05:21.3723995Z pandas\core\arrays\_mixins.py:74: in method
2021-11-07T02:05:21.3724690Z     return meth(self, *args, **kwargs)
2021-11-07T02:05:21.3725425Z pandas\core\arrays\datetimes.py:1045: in tz_localize
2021-11-07T02:05:21.3726201Z     new_dates = tzconversion.tz_localize_to_utc(
2021-11-07T02:05:21.3727080Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:21.3727626Z 
2021-11-07T02:05:21.3728261Z >   raise pytz.AmbiguousTimeError(
2021-11-07T02:05:21.3729118Z E   pytz.exceptions.AmbiguousTimeError: Cannot infer dst time from 2021-11-07 01:55:26.738854, try using the 'ambiguous' argument
2021-11-07T02:05:21.3729790Z 
2021-11-07T02:05:21.3730480Z pandas\_libs\tslibs\tzconversion.pyx:284: AmbiguousTimeError
2021-11-07T02:05:21.3731290Z _ test_maybe_promote_any_numpy_dtype_with_datetimetz[uint64-'US/Eastern'-pd.Timestamp] _
2021-11-07T02:05:21.3732129Z [gw0] win32 -- Python 3.8.12 C:\Miniconda\envs\pandas-dev\python.exe
2021-11-07T02:05:21.3732661Z 
2021-11-07T02:05:21.3733340Z any_numpy_dtype_reduced = 'uint64', tz_aware_fixture = 'US/Eastern'
2021-11-07T02:05:21.3734117Z fill_value = Timestamp('2021-11-07 01:55:26.738854')
2021-11-07T02:05:21.3734646Z 
2021-11-07T02:05:21.3735250Z     @pytest.mark.parametrize(
2021-11-07T02:05:21.3735896Z         "fill_value",
2021-11-07T02:05:21.3736575Z         [
2021-11-07T02:05:21.3737206Z             pd.Timestamp("now"),
2021-11-07T02:05:21.3737961Z             np.datetime64("now"),
2021-11-07T02:05:21.3738618Z             datetime.datetime.now(),
2021-11-07T02:05:21.3739750Z             datetime.date.today(),
2021-11-07T02:05:21.3740961Z         ],
2021-11-07T02:05:21.3743147Z         ids=["pd.Timestamp", "np.datetime64", "datetime.datetime", "datetime.date"],
2021-11-07T02:05:21.3744379Z     )
2021-11-07T02:05:21.3745112Z     def test_maybe_promote_any_numpy_dtype_with_datetimetz(
2021-11-07T02:05:21.3747279Z         any_numpy_dtype_reduced, tz_aware_fixture, fill_value
2021-11-07T02:05:21.3748017Z     ):
2021-11-07T02:05:21.3748678Z         dtype = np.dtype(any_numpy_dtype_reduced)
2021-11-07T02:05:21.3749422Z         fill_dtype = DatetimeTZDtype(tz=tz_aware_fixture)
2021-11-07T02:05:21.3750074Z     
2021-11-07T02:05:21.3750752Z >       fill_value = pd.Series([fill_value], dtype=fill_dtype)[0]
2021-11-07T02:05:21.3751275Z 
2021-11-07T02:05:21.3751958Z pandas\tests\dtypes\cast\test_promote.py:435: 
2021-11-07T02:05:21.3752892Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:21.3753709Z pandas\core\series.py:440: in __init__
2021-11-07T02:05:21.3754419Z     data = sanitize_array(data, index, dtype, copy)
2021-11-07T02:05:21.3755166Z pandas\core\construction.py:575: in sanitize_array
2021-11-07T02:05:21.3755911Z     subarr = _try_cast(data, dtype, copy, raise_cast_failure)
2021-11-07T02:05:21.3756742Z pandas\core\construction.py:734: in _try_cast
2021-11-07T02:05:21.3757489Z     return maybe_cast_to_datetime(arr, dtype)
2021-11-07T02:05:21.3758200Z pandas\core\dtypes\cast.py:1675: in maybe_cast_to_datetime
2021-11-07T02:05:21.3758922Z     value = dta.tz_localize(dtype.tz)
2021-11-07T02:05:21.3759996Z pandas\core\arrays\_mixins.py:74: in method
2021-11-07T02:05:21.3760739Z     return meth(self, *args, **kwargs)
2021-11-07T02:05:21.3761417Z pandas\core\arrays\datetimes.py:1045: in tz_localize
2021-11-07T02:05:21.3762204Z     new_dates = tzconversion.tz_localize_to_utc(
2021-11-07T02:05:21.3762916Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:21.3763401Z 
2021-11-07T02:05:21.3763986Z >   raise pytz.AmbiguousTimeError(
2021-11-07T02:05:21.3764999Z E   pytz.exceptions.AmbiguousTimeError: Cannot infer dst time from 2021-11-07 01:55:26.738854, try using the 'ambiguous' argument
2021-11-07T02:05:21.3765652Z 
2021-11-07T02:05:21.3766342Z pandas\_libs\tslibs\tzconversion.pyx:284: AmbiguousTimeError
2021-11-07T02:05:21.3767219Z _ test_maybe_promote_any_numpy_dtype_with_datetimetz[uint64-'US/Eastern'-datetime.datetime] _
2021-11-07T02:05:21.3768064Z [gw0] win32 -- Python 3.8.12 C:\Miniconda\envs\pandas-dev\python.exe
2021-11-07T02:05:21.3768601Z 
2021-11-07T02:05:21.3769357Z any_numpy_dtype_reduced = 'uint64', tz_aware_fixture = 'US/Eastern'
2021-11-07T02:05:21.3770060Z fill_value = datetime.datetime(2021, 11, 7, 1, 55, 26, 738854)
2021-11-07T02:05:21.3770547Z 
2021-11-07T02:05:21.3771106Z     @pytest.mark.parametrize(
2021-11-07T02:05:21.3771705Z         "fill_value",
2021-11-07T02:05:21.3772466Z         [
2021-11-07T02:05:21.3773077Z             pd.Timestamp("now"),
2021-11-07T02:05:21.3773749Z             np.datetime64("now"),
2021-11-07T02:05:21.3774409Z             datetime.datetime.now(),
2021-11-07T02:05:21.3775117Z             datetime.date.today(),
2021-11-07T02:05:21.3775741Z         ],
2021-11-07T02:05:21.3776761Z         ids=["pd.Timestamp", "np.datetime64", "datetime.datetime", "datetime.date"],
2021-11-07T02:05:21.3777495Z     )
2021-11-07T02:05:21.3778264Z     def test_maybe_promote_any_numpy_dtype_with_datetimetz(
2021-11-07T02:05:21.3779035Z         any_numpy_dtype_reduced, tz_aware_fixture, fill_value
2021-11-07T02:05:21.3779699Z     ):
2021-11-07T02:05:21.3780353Z         dtype = np.dtype(any_numpy_dtype_reduced)
2021-11-07T02:05:21.3781079Z         fill_dtype = DatetimeTZDtype(tz=tz_aware_fixture)
2021-11-07T02:05:21.3781747Z     
2021-11-07T02:05:21.3782454Z >       fill_value = pd.Series([fill_value], dtype=fill_dtype)[0]
2021-11-07T02:05:21.3782964Z 
2021-11-07T02:05:21.3783639Z pandas\tests\dtypes\cast\test_promote.py:435: 
2021-11-07T02:05:21.3784420Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:21.3785195Z pandas\core\series.py:440: in __init__
2021-11-07T02:05:21.3785900Z     data = sanitize_array(data, index, dtype, copy)
2021-11-07T02:05:21.3786690Z pandas\core\construction.py:575: in sanitize_array
2021-11-07T02:05:21.3787452Z     subarr = _try_cast(data, dtype, copy, raise_cast_failure)
2021-11-07T02:05:21.3788191Z pandas\core\construction.py:734: in _try_cast
2021-11-07T02:05:21.3788922Z     return maybe_cast_to_datetime(arr, dtype)
2021-11-07T02:05:21.3789681Z pandas\core\dtypes\cast.py:1675: in maybe_cast_to_datetime
2021-11-07T02:05:21.3790395Z     value = dta.tz_localize(dtype.tz)
2021-11-07T02:05:21.3791112Z pandas\core\arrays\_mixins.py:74: in method
2021-11-07T02:05:21.3791820Z     return meth(self, *args, **kwargs)
2021-11-07T02:05:21.3792550Z pandas\core\arrays\datetimes.py:1045: in tz_localize
2021-11-07T02:05:21.3793299Z     new_dates = tzconversion.tz_localize_to_utc(
2021-11-07T02:05:21.3794053Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:21.3794597Z 
2021-11-07T02:05:21.3795220Z >   raise pytz.AmbiguousTimeError(
2021-11-07T02:05:21.3796225Z E   pytz.exceptions.AmbiguousTimeError: Cannot infer dst time from 2021-11-07 01:55:26.738854, try using the 'ambiguous' argument
2021-11-07T02:05:21.3796877Z 
2021-11-07T02:05:21.3797543Z pandas\_libs\tslibs\tzconversion.pyx:284: AmbiguousTimeError
2021-11-07T02:05:21.3798331Z _ test_maybe_promote_any_numpy_dtype_with_datetimetz[uint64-'dateutil/US/Pacific'-pd.Timestamp] _
2021-11-07T02:05:21.3799265Z [gw0] win32 -- Python 3.8.12 C:\Miniconda\envs\pandas-dev\python.exe
2021-11-07T02:05:21.3799775Z 
2021-11-07T02:05:21.3800403Z any_numpy_dtype_reduced = 'uint64', tz_aware_fixture = 'dateutil/US/Pacific'
2021-11-07T02:05:21.3801244Z fill_value = Timestamp('2021-11-07 01:55:26.738854')
2021-11-07T02:05:21.3801709Z 
2021-11-07T02:05:21.3802478Z     @pytest.mark.parametrize(
2021-11-07T02:05:21.3803110Z         "fill_value",
2021-11-07T02:05:21.3803728Z         [
2021-11-07T02:05:21.3804363Z             pd.Timestamp("now"),
2021-11-07T02:05:21.3805014Z             np.datetime64("now"),
2021-11-07T02:05:21.3805688Z             datetime.datetime.now(),
2021-11-07T02:05:21.3806353Z             datetime.date.today(),
2021-11-07T02:05:21.3807148Z         ],
2021-11-07T02:05:21.3807871Z         ids=["pd.Timestamp", "np.datetime64", "datetime.datetime", "datetime.date"],
2021-11-07T02:05:21.3808564Z     )
2021-11-07T02:05:21.3809237Z     def test_maybe_promote_any_numpy_dtype_with_datetimetz(
2021-11-07T02:05:21.3809984Z         any_numpy_dtype_reduced, tz_aware_fixture, fill_value
2021-11-07T02:05:21.3810665Z     ):
2021-11-07T02:05:21.3811330Z         dtype = np.dtype(any_numpy_dtype_reduced)
2021-11-07T02:05:21.3812047Z         fill_dtype = DatetimeTZDtype(tz=tz_aware_fixture)
2021-11-07T02:05:21.3812705Z     
2021-11-07T02:05:21.3813453Z >       fill_value = pd.Series([fill_value], dtype=fill_dtype)[0]
2021-11-07T02:05:21.3813988Z 
2021-11-07T02:05:21.3814658Z pandas\tests\dtypes\cast\test_promote.py:435: 
2021-11-07T02:05:21.3815454Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:21.3816225Z pandas\core\series.py:440: in __init__
2021-11-07T02:05:21.3816979Z     data = sanitize_array(data, index, dtype, copy)
2021-11-07T02:05:21.8669271Z Test results publishing 1000, remaining: 68765. Test run id: 2915250
2021-11-07T02:05:22.1901953Z Test results publishing 1000, remaining: 67765. Test run id: 2915250
2021-11-07T02:05:22.2041628Z pandas\core\construction.py:575: in sanitize_array
2021-11-07T02:05:22.2046909Z     subarr = _try_cast(data, dtype, copy, raise_cast_failure)
2021-11-07T02:05:22.2048329Z pandas\core\construction.py:734: in _try_cast
2021-11-07T02:05:22.2049174Z     return maybe_cast_to_datetime(arr, dtype)
2021-11-07T02:05:22.2050000Z pandas\core\dtypes\cast.py:1675: in maybe_cast_to_datetime
2021-11-07T02:05:22.2050744Z     value = dta.tz_localize(dtype.tz)
2021-11-07T02:05:22.2051528Z pandas\core\arrays\_mixins.py:74: in method
2021-11-07T02:05:22.2052241Z     return meth(self, *args, **kwargs)
2021-11-07T02:05:22.2053090Z pandas\core\arrays\datetimes.py:1045: in tz_localize
2021-11-07T02:05:22.2053904Z     new_dates = tzconversion.tz_localize_to_utc(
2021-11-07T02:05:22.2054673Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:22.2055283Z 
2021-11-07T02:05:22.2055924Z >   raise pytz.AmbiguousTimeError(
2021-11-07T02:05:22.2056866Z E   pytz.exceptions.AmbiguousTimeError: Cannot infer dst time from 2021-11-07 01:55:26.738854, try using the 'ambiguous' argument
2021-11-07T02:05:22.2057534Z 
2021-11-07T02:05:22.2058330Z pandas\_libs\tslibs\tzconversion.pyx:284: AmbiguousTimeError
2021-11-07T02:05:22.2059369Z _ test_maybe_promote_any_numpy_dtype_with_datetimetz[uint64-'dateutil/US/Pacific'-datetime.datetime] _
2021-11-07T02:05:22.2060243Z [gw0] win32 -- Python 3.8.12 C:\Miniconda\envs\pandas-dev\python.exe
2021-11-07T02:05:22.2060845Z 
2021-11-07T02:05:22.2061543Z any_numpy_dtype_reduced = 'uint64', tz_aware_fixture = 'dateutil/US/Pacific'
2021-11-07T02:05:22.2062387Z fill_value = datetime.datetime(2021, 11, 7, 1, 55, 26, 738854)
2021-11-07T02:05:22.2062947Z 
2021-11-07T02:05:22.2063634Z     @pytest.mark.parametrize(
2021-11-07T02:05:22.2064282Z         "fill_value",
2021-11-07T02:05:22.2064960Z         [
2021-11-07T02:05:22.2065647Z             pd.Timestamp("now"),
2021-11-07T02:05:22.2066656Z             np.datetime64("now"),
2021-11-07T02:05:22.2067390Z             datetime.datetime.now(),
2021-11-07T02:05:22.2068064Z             datetime.date.today(),
2021-11-07T02:05:22.2068798Z         ],
2021-11-07T02:05:22.2069652Z         ids=["pd.Timestamp", "np.datetime64", "datetime.datetime", "datetime.date"],
2021-11-07T02:05:22.2070444Z     )
2021-11-07T02:05:22.2071200Z     def test_maybe_promote_any_numpy_dtype_with_datetimetz(
2021-11-07T02:05:22.2071966Z         any_numpy_dtype_reduced, tz_aware_fixture, fill_value
2021-11-07T02:05:22.2072773Z     ):
2021-11-07T02:05:22.2075993Z         dtype = np.dtype(any_numpy_dtype_reduced)
2021-11-07T02:05:22.2076859Z         fill_dtype = DatetimeTZDtype(tz=tz_aware_fixture)
2021-11-07T02:05:22.2077580Z     
2021-11-07T02:05:22.2078251Z >       fill_value = pd.Series([fill_value], dtype=fill_dtype)[0]
2021-11-07T02:05:22.2078758Z 
2021-11-07T02:05:22.2079555Z pandas\tests\dtypes\cast\test_promote.py:435: 
2021-11-07T02:05:22.2080450Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:22.2081324Z pandas\core\series.py:440: in __init__
2021-11-07T02:05:22.2082102Z     data = sanitize_array(data, index, dtype, copy)
2021-11-07T02:05:22.2082966Z pandas\core\construction.py:575: in sanitize_array
2021-11-07T02:05:22.2083724Z     subarr = _try_cast(data, dtype, copy, raise_cast_failure)
2021-11-07T02:05:22.2084523Z pandas\core\construction.py:734: in _try_cast
2021-11-07T02:05:22.2085233Z     return maybe_cast_to_datetime(arr, dtype)
2021-11-07T02:05:22.2086026Z pandas\core\dtypes\cast.py:1675: in maybe_cast_to_datetime
2021-11-07T02:05:22.2086822Z     value = dta.tz_localize(dtype.tz)
2021-11-07T02:05:22.2087519Z pandas\core\arrays\_mixins.py:74: in method
2021-11-07T02:05:22.2088277Z     return meth(self, *args, **kwargs)
2021-11-07T02:05:22.2088993Z pandas\core\arrays\datetimes.py:1045: in tz_localize
2021-11-07T02:05:22.2089780Z     new_dates = tzconversion.tz_localize_to_utc(
2021-11-07T02:05:22.2090624Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:22.2091167Z 
2021-11-07T02:05:22.2091854Z >   raise pytz.AmbiguousTimeError(
2021-11-07T02:05:22.2092762Z E   pytz.exceptions.AmbiguousTimeError: Cannot infer dst time from 2021-11-07 01:55:26.738854, try using the 'ambiguous' argument
2021-11-07T02:05:22.2093545Z 
2021-11-07T02:05:22.2094241Z pandas\_libs\tslibs\tzconversion.pyx:284: AmbiguousTimeError
2021-11-07T02:05:22.2095134Z _ test_maybe_promote_any_numpy_dtype_with_datetimetz[float32-'US/Eastern'-pd.Timestamp] _
2021-11-07T02:05:22.2096027Z [gw0] win32 -- Python 3.8.12 C:\Miniconda\envs\pandas-dev\python.exe
2021-11-07T02:05:22.2096558Z 
2021-11-07T02:05:22.2097320Z any_numpy_dtype_reduced = 'float32', tz_aware_fixture = 'US/Eastern'
2021-11-07T02:05:22.2098106Z fill_value = Timestamp('2021-11-07 01:55:26.738854')
2021-11-07T02:05:22.2098762Z 
2021-11-07T02:05:22.2099375Z     @pytest.mark.parametrize(
2021-11-07T02:05:22.2100078Z         "fill_value",
2021-11-07T02:05:22.2100681Z         [
2021-11-07T02:05:22.2101397Z             pd.Timestamp("now"),
2021-11-07T02:05:22.2102110Z             np.datetime64("now"),
2021-11-07T02:05:22.2103059Z             datetime.datetime.now(),
2021-11-07T02:05:22.2104630Z             datetime.date.today(),
2021-11-07T02:05:22.2105475Z         ],
2021-11-07T02:05:22.2106204Z         ids=["pd.Timestamp", "np.datetime64", "datetime.datetime", "datetime.date"],
2021-11-07T02:05:22.2106977Z     )
2021-11-07T02:05:22.2107711Z     def test_maybe_promote_any_numpy_dtype_with_datetimetz(
2021-11-07T02:05:22.2108476Z         any_numpy_dtype_reduced, tz_aware_fixture, fill_value
2021-11-07T02:05:22.2109212Z     ):
2021-11-07T02:05:22.2109869Z         dtype = np.dtype(any_numpy_dtype_reduced)
2021-11-07T02:05:22.2110668Z         fill_dtype = DatetimeTZDtype(tz=tz_aware_fixture)
2021-11-07T02:05:22.2111433Z     
2021-11-07T02:05:22.2112118Z >       fill_value = pd.Series([fill_value], dtype=fill_dtype)[0]
2021-11-07T02:05:22.2113003Z 
2021-11-07T02:05:22.2113682Z pandas\tests\dtypes\cast\test_promote.py:435: 
2021-11-07T02:05:22.2114593Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:22.2116291Z pandas\core\series.py:440: in __init__
2021-11-07T02:05:22.2117090Z     data = sanitize_array(data, index, dtype, copy)
2021-11-07T02:05:22.2117952Z pandas\core\construction.py:575: in sanitize_array
2021-11-07T02:05:22.2118711Z     subarr = _try_cast(data, dtype, copy, raise_cast_failure)
2021-11-07T02:05:22.2119537Z pandas\core\construction.py:734: in _try_cast
2021-11-07T02:05:22.2120558Z     return maybe_cast_to_datetime(arr, dtype)
2021-11-07T02:05:22.2121306Z pandas\core\dtypes\cast.py:1675: in maybe_cast_to_datetime
2021-11-07T02:05:22.2122183Z     value = dta.tz_localize(dtype.tz)
2021-11-07T02:05:22.2123133Z pandas\core\arrays\_mixins.py:74: in method
2021-11-07T02:05:22.2123956Z     return meth(self, *args, **kwargs)
2021-11-07T02:05:22.2124740Z pandas\core\arrays\datetimes.py:1045: in tz_localize
2021-11-07T02:05:22.2125475Z     new_dates = tzconversion.tz_localize_to_utc(
2021-11-07T02:05:22.2126355Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:22.2126893Z 
2021-11-07T02:05:22.2127609Z >   raise pytz.AmbiguousTimeError(
2021-11-07T02:05:22.2128471Z E   pytz.exceptions.AmbiguousTimeError: Cannot infer dst time from 2021-11-07 01:55:26.738854, try using the 'ambiguous' argument
2021-11-07T02:05:22.2129219Z 
2021-11-07T02:05:22.2129918Z pandas\_libs\tslibs\tzconversion.pyx:284: AmbiguousTimeError
2021-11-07T02:05:22.2130821Z _ test_maybe_promote_any_numpy_dtype_with_datetimetz[float32-'US/Eastern'-datetime.datetime] _
2021-11-07T02:05:22.2131721Z [gw0] win32 -- Python 3.8.12 C:\Miniconda\envs\pandas-dev\python.exe
2021-11-07T02:05:22.2132342Z 
2021-11-07T02:05:22.2133130Z any_numpy_dtype_reduced = 'float32', tz_aware_fixture = 'US/Eastern'
2021-11-07T02:05:22.2133962Z fill_value = datetime.datetime(2021, 11, 7, 1, 55, 26, 738854)
2021-11-07T02:05:22.2134464Z 
2021-11-07T02:05:22.2135135Z     @pytest.mark.parametrize(
2021-11-07T02:05:22.2135764Z         "fill_value",
2021-11-07T02:05:22.2136440Z         [
2021-11-07T02:05:22.2137057Z             pd.Timestamp("now"),
2021-11-07T02:05:22.2137773Z             np.datetime64("now"),
2021-11-07T02:05:22.2138495Z             datetime.datetime.now(),
2021-11-07T02:05:22.2139241Z             datetime.date.today(),
2021-11-07T02:05:22.2139917Z         ],
2021-11-07T02:05:22.2140624Z         ids=["pd.Timestamp", "np.datetime64", "datetime.datetime", "datetime.date"],
2021-11-07T02:05:22.2141377Z     )
2021-11-07T02:05:22.2142123Z     def test_maybe_promote_any_numpy_dtype_with_datetimetz(
2021-11-07T02:05:22.2142916Z         any_numpy_dtype_reduced, tz_aware_fixture, fill_value
2021-11-07T02:05:22.2162535Z     ):
2021-11-07T02:05:22.2163576Z         dtype = np.dtype(any_numpy_dtype_reduced)
2021-11-07T02:05:22.2164435Z         fill_dtype = DatetimeTZDtype(tz=tz_aware_fixture)
2021-11-07T02:05:22.2165149Z     
2021-11-07T02:05:22.2165818Z >       fill_value = pd.Series([fill_value], dtype=fill_dtype)[0]
2021-11-07T02:05:22.2166389Z 
2021-11-07T02:05:22.2167125Z pandas\tests\dtypes\cast\test_promote.py:435: 
2021-11-07T02:05:22.2167955Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:22.2168777Z pandas\core\series.py:440: in __init__
2021-11-07T02:05:22.2169493Z     data = sanitize_array(data, index, dtype, copy)
2021-11-07T02:05:22.2170332Z pandas\core\construction.py:575: in sanitize_array
2021-11-07T02:05:22.2171080Z     subarr = _try_cast(data, dtype, copy, raise_cast_failure)
2021-11-07T02:05:22.2171918Z pandas\core\construction.py:734: in _try_cast
2021-11-07T02:05:22.2172655Z     return maybe_cast_to_datetime(arr, dtype)
2021-11-07T02:05:22.2173471Z pandas\core\dtypes\cast.py:1675: in maybe_cast_to_datetime
2021-11-07T02:05:22.2174199Z     value = dta.tz_localize(dtype.tz)
2021-11-07T02:05:22.2175356Z pandas\core\arrays\_mixins.py:74: in method
2021-11-07T02:05:22.2176059Z     return meth(self, *args, **kwargs)
2021-11-07T02:05:22.2176842Z pandas\core\arrays\datetimes.py:1045: in tz_localize
2021-11-07T02:05:22.2177863Z     new_dates = tzconversion.tz_localize_to_utc(
2021-11-07T02:05:22.2178616Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:22.2179207Z 
2021-11-07T02:05:22.2179824Z >   raise pytz.AmbiguousTimeError(
2021-11-07T02:05:22.2180753Z E   pytz.exceptions.AmbiguousTimeError: Cannot infer dst time from 2021-11-07 01:55:26.738854, try using the 'ambiguous' argument
2021-11-07T02:05:22.2181405Z 
2021-11-07T02:05:22.2182187Z pandas\_libs\tslibs\tzconversion.pyx:284: AmbiguousTimeError
2021-11-07T02:05:22.2183170Z _ test_maybe_promote_any_numpy_dtype_with_datetimetz[float32-'dateutil/US/Pacific'-pd.Timestamp] _
2021-11-07T02:05:22.2184204Z [gw0] win32 -- Python 3.8.12 C:\Miniconda\envs\pandas-dev\python.exe
2021-11-07T02:05:22.2184814Z 
2021-11-07T02:05:22.2185501Z any_numpy_dtype_reduced = 'float32', tz_aware_fixture = 'dateutil/US/Pacific'
2021-11-07T02:05:22.2186339Z fill_value = Timestamp('2021-11-07 01:55:26.738854')
2021-11-07T02:05:22.2186852Z 
2021-11-07T02:05:22.2187516Z     @pytest.mark.parametrize(
2021-11-07T02:05:22.2188156Z         "fill_value",
2021-11-07T02:05:22.2188819Z         [
2021-11-07T02:05:22.2189541Z             pd.Timestamp("now"),
2021-11-07T02:05:22.2190208Z             np.datetime64("now"),
2021-11-07T02:05:22.2190935Z             datetime.datetime.now(),
2021-11-07T02:05:22.2191601Z             datetime.date.today(),
2021-11-07T02:05:22.2192313Z         ],
2021-11-07T02:05:22.2194370Z         ids=["pd.Timestamp", "np.datetime64", "datetime.datetime", "datetime.date"],
2021-11-07T02:05:22.2195213Z     )
2021-11-07T02:05:22.2195981Z     def test_maybe_promote_any_numpy_dtype_with_datetimetz(
2021-11-07T02:05:22.2196760Z         any_numpy_dtype_reduced, tz_aware_fixture, fill_value
2021-11-07T02:05:22.2197713Z     ):
2021-11-07T02:05:22.2198360Z         dtype = np.dtype(any_numpy_dtype_reduced)
2021-11-07T02:05:22.2199140Z         fill_dtype = DatetimeTZDtype(tz=tz_aware_fixture)
2021-11-07T02:05:22.2199796Z     
2021-11-07T02:05:22.2200523Z >       fill_value = pd.Series([fill_value], dtype=fill_dtype)[0]
2021-11-07T02:05:22.2201025Z 
2021-11-07T02:05:22.2201751Z pandas\tests\dtypes\cast\test_promote.py:435: 
2021-11-07T02:05:22.2202752Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:22.2203525Z pandas\core\series.py:440: in __init__
2021-11-07T02:05:22.2204289Z     data = sanitize_array(data, index, dtype, copy)
2021-11-07T02:05:22.2205021Z pandas\core\construction.py:575: in sanitize_array
2021-11-07T02:05:22.2205830Z     subarr = _try_cast(data, dtype, copy, raise_cast_failure)
2021-11-07T02:05:22.2206629Z pandas\core\construction.py:734: in _try_cast
2021-11-07T02:05:22.2207355Z     return maybe_cast_to_datetime(arr, dtype)
2021-11-07T02:05:22.2208154Z pandas\core\dtypes\cast.py:1675: in maybe_cast_to_datetime
2021-11-07T02:05:22.2208935Z     value = dta.tz_localize(dtype.tz)
2021-11-07T02:05:22.4768649Z Test results publishing 1000, remaining: 66765. Test run id: 2915250
2021-11-07T02:05:22.7806952Z Test results publishing 1000, remaining: 65765. Test run id: 2915250
2021-11-07T02:05:23.2075751Z pandas\core\arrays\_mixins.py:74: in method
2021-11-07T02:05:23.2077371Z     return meth(self, *args, **kwargs)
2021-11-07T02:05:23.2078292Z pandas\core\arrays\datetimes.py:1045: in tz_localize
2021-11-07T02:05:23.2079218Z     new_dates = tzconversion.tz_localize_to_utc(
2021-11-07T02:05:23.2080063Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:23.2080611Z 
2021-11-07T02:05:23.2081449Z >   raise pytz.AmbiguousTimeError(
2021-11-07T02:05:23.2082312Z E   pytz.exceptions.AmbiguousTimeError: Cannot infer dst time from 2021-11-07 01:55:26.738854, try using the 'ambiguous' argument
2021-11-07T02:05:23.2084947Z 
2021-11-07T02:05:23.2379619Z pandas\_libs\tslibs\tzconversion.pyx:284: AmbiguousTimeError
2021-11-07T02:05:23.2501266Z Test results publishing 1000, remaining: 64765. Test run id: 2915250
2021-11-07T02:05:23.2656620Z _ test_maybe_promote_any_numpy_dtype_with_datetimetz[float32-'dateutil/US/Pacific'-datetime.datetime] _
2021-11-07T02:05:23.2668762Z [gw0] win32 -- Python 3.8.12 C:\Miniconda\envs\pandas-dev\python.exe
2021-11-07T02:05:23.2669734Z 
2021-11-07T02:05:23.2670481Z any_numpy_dtype_reduced = 'float32', tz_aware_fixture = 'dateutil/US/Pacific'
2021-11-07T02:05:23.2671304Z fill_value = datetime.datetime(2021, 11, 7, 1, 55, 26, 738854)
2021-11-07T02:05:23.2671808Z 
2021-11-07T02:05:23.2672436Z     @pytest.mark.parametrize(
2021-11-07T02:05:23.2673120Z         "fill_value",
2021-11-07T02:05:23.2673734Z         [
2021-11-07T02:05:23.2674373Z             pd.Timestamp("now"),
2021-11-07T02:05:23.2675026Z             np.datetime64("now"),
2021-11-07T02:05:23.2675721Z             datetime.datetime.now(),
2021-11-07T02:05:23.2676395Z             datetime.date.today(),
2021-11-07T02:05:23.2677016Z         ],
2021-11-07T02:05:23.2677734Z         ids=["pd.Timestamp", "np.datetime64", "datetime.datetime", "datetime.date"],
2021-11-07T02:05:23.2678514Z     )
2021-11-07T02:05:23.2679198Z     def test_maybe_promote_any_numpy_dtype_with_datetimetz(
2021-11-07T02:05:23.2679960Z         any_numpy_dtype_reduced, tz_aware_fixture, fill_value
2021-11-07T02:05:23.2680615Z     ):
2021-11-07T02:05:23.2681279Z         dtype = np.dtype(any_numpy_dtype_reduced)
2021-11-07T02:05:23.2682167Z         fill_dtype = DatetimeTZDtype(tz=tz_aware_fixture)
2021-11-07T02:05:23.2682840Z     
2021-11-07T02:05:23.2683523Z >       fill_value = pd.Series([fill_value], dtype=fill_dtype)[0]
2021-11-07T02:05:23.2684031Z 
2021-11-07T02:05:23.2684703Z pandas\tests\dtypes\cast\test_promote.py:435: 
2021-11-07T02:05:23.2685479Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:23.2686256Z pandas\core\series.py:440: in __init__
2021-11-07T02:05:23.2686961Z     data = sanitize_array(data, index, dtype, copy)
2021-11-07T02:05:23.2687707Z pandas\core\construction.py:575: in sanitize_array
2021-11-07T02:05:23.2688534Z     subarr = _try_cast(data, dtype, copy, raise_cast_failure)
2021-11-07T02:05:23.2689330Z pandas\core\construction.py:734: in _try_cast
2021-11-07T02:05:23.2690082Z     return maybe_cast_to_datetime(arr, dtype)
2021-11-07T02:05:23.2690843Z pandas\core\dtypes\cast.py:1675: in maybe_cast_to_datetime
2021-11-07T02:05:23.2691562Z     value = dta.tz_localize(dtype.tz)
2021-11-07T02:05:23.2692276Z pandas\core\arrays\_mixins.py:74: in method
2021-11-07T02:05:23.2692987Z     return meth(self, *args, **kwargs)
2021-11-07T02:05:23.2693698Z pandas\core\arrays\datetimes.py:1045: in tz_localize
2021-11-07T02:05:23.2694444Z     new_dates = tzconversion.tz_localize_to_utc(
2021-11-07T02:05:23.2695217Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:23.2695753Z 
2021-11-07T02:05:23.2696363Z >   raise pytz.AmbiguousTimeError(
2021-11-07T02:05:23.2697234Z E   pytz.exceptions.AmbiguousTimeError: Cannot infer dst time from 2021-11-07 01:55:26.738854, try using the 'ambiguous' argument
2021-11-07T02:05:23.2697908Z 
2021-11-07T02:05:23.2698648Z pandas\_libs\tslibs\tzconversion.pyx:284: AmbiguousTimeError
2021-11-07T02:05:23.2699607Z _ test_maybe_promote_any_numpy_dtype_with_datetimetz[float64-'US/Eastern'-pd.Timestamp] _
2021-11-07T02:05:23.2700440Z [gw0] win32 -- Python 3.8.12 C:\Miniconda\envs\pandas-dev\python.exe
2021-11-07T02:05:23.2700990Z 
2021-11-07T02:05:23.2701661Z any_numpy_dtype_reduced = 'float64', tz_aware_fixture = 'US/Eastern'
2021-11-07T02:05:23.2702440Z fill_value = Timestamp('2021-11-07 01:55:26.738854')
2021-11-07T02:05:23.2702949Z 
2021-11-07T02:05:23.2703568Z     @pytest.mark.parametrize(
2021-11-07T02:05:23.2704217Z         "fill_value",
2021-11-07T02:05:23.2705099Z         [
2021-11-07T02:05:23.2705776Z             pd.Timestamp("now"),
2021-11-07T02:05:23.2706433Z             np.datetime64("now"),
2021-11-07T02:05:23.2707109Z             datetime.datetime.now(),
2021-11-07T02:05:23.2707916Z             datetime.date.today(),
2021-11-07T02:05:23.2708615Z         ],
2021-11-07T02:05:23.2709343Z         ids=["pd.Timestamp", "np.datetime64", "datetime.datetime", "datetime.date"],
2021-11-07T02:05:23.2710038Z     )
2021-11-07T02:05:23.2710705Z     def test_maybe_promote_any_numpy_dtype_with_datetimetz(
2021-11-07T02:05:23.2711497Z         any_numpy_dtype_reduced, tz_aware_fixture, fill_value
2021-11-07T02:05:23.2712163Z     ):
2021-11-07T02:05:23.2712824Z         dtype = np.dtype(any_numpy_dtype_reduced)
2021-11-07T02:05:23.2713549Z         fill_dtype = DatetimeTZDtype(tz=tz_aware_fixture)
2021-11-07T02:05:23.2714213Z     
2021-11-07T02:05:23.2714871Z >       fill_value = pd.Series([fill_value], dtype=fill_dtype)[0]
2021-11-07T02:05:23.2715415Z 
2021-11-07T02:05:23.2716079Z pandas\tests\dtypes\cast\test_promote.py:435: 
2021-11-07T02:05:23.2716876Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:23.2717746Z pandas\core\series.py:440: in __init__
2021-11-07T02:05:23.2718538Z     data = sanitize_array(data, index, dtype, copy)
2021-11-07T02:05:23.2719393Z pandas\core\construction.py:575: in sanitize_array
2021-11-07T02:05:23.2720137Z     subarr = _try_cast(data, dtype, copy, raise_cast_failure)
2021-11-07T02:05:23.2720894Z pandas\core\construction.py:734: in _try_cast
2021-11-07T02:05:23.2721623Z     return maybe_cast_to_datetime(arr, dtype)
2021-11-07T02:05:23.2722349Z pandas\core\dtypes\cast.py:1675: in maybe_cast_to_datetime
2021-11-07T02:05:23.2723089Z     value = dta.tz_localize(dtype.tz)
2021-11-07T02:05:23.2723779Z pandas\core\arrays\_mixins.py:74: in method
2021-11-07T02:05:23.2724508Z     return meth(self, *args, **kwargs)
2021-11-07T02:05:23.2725239Z pandas\core\arrays\datetimes.py:1045: in tz_localize
2021-11-07T02:05:23.2726101Z     new_dates = tzconversion.tz_localize_to_utc(
2021-11-07T02:05:23.2726869Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:23.2727404Z 
2021-11-07T02:05:23.2728034Z >   raise pytz.AmbiguousTimeError(
2021-11-07T02:05:23.2728968Z E   pytz.exceptions.AmbiguousTimeError: Cannot infer dst time from 2021-11-07 01:55:26.738854, try using the 'ambiguous' argument
2021-11-07T02:05:23.2729629Z 
2021-11-07T02:05:23.2730326Z pandas\_libs\tslibs\tzconversion.pyx:284: AmbiguousTimeError
2021-11-07T02:05:23.2731142Z _ test_maybe_promote_any_numpy_dtype_with_datetimetz[float64-'US/Eastern'-datetime.datetime] _
2021-11-07T02:05:23.2731994Z [gw0] win32 -- Python 3.8.12 C:\Miniconda\envs\pandas-dev\python.exe
2021-11-07T02:05:23.2732540Z 
2021-11-07T02:05:23.2733228Z any_numpy_dtype_reduced = 'float64', tz_aware_fixture = 'US/Eastern'
2021-11-07T02:05:23.2734013Z fill_value = datetime.datetime(2021, 11, 7, 1, 55, 26, 738854)
2021-11-07T02:05:23.2734542Z 
2021-11-07T02:05:23.2735232Z     @pytest.mark.parametrize(
2021-11-07T02:05:23.2735884Z         "fill_value",
2021-11-07T02:05:23.2736498Z         [
2021-11-07T02:05:23.2737116Z             pd.Timestamp("now"),
2021-11-07T02:05:23.2737784Z             np.datetime64("now"),
2021-11-07T02:05:23.2738549Z             datetime.datetime.now(),
2021-11-07T02:05:23.2739248Z             datetime.date.today(),
2021-11-07T02:05:23.2739881Z         ],
2021-11-07T02:05:23.2740576Z         ids=["pd.Timestamp", "np.datetime64", "datetime.datetime", "datetime.date"],
2021-11-07T02:05:23.2741285Z     )
2021-11-07T02:05:23.2741936Z     def test_maybe_promote_any_numpy_dtype_with_datetimetz(
2021-11-07T02:05:23.2742694Z         any_numpy_dtype_reduced, tz_aware_fixture, fill_value
2021-11-07T02:05:23.2743368Z     ):
2021-11-07T02:05:23.2744010Z         dtype = np.dtype(any_numpy_dtype_reduced)
2021-11-07T02:05:23.2744744Z         fill_dtype = DatetimeTZDtype(tz=tz_aware_fixture)
2021-11-07T02:05:23.2745610Z     
2021-11-07T02:05:23.2746270Z >       fill_value = pd.Series([fill_value], dtype=fill_dtype)[0]
2021-11-07T02:05:23.2746773Z 
2021-11-07T02:05:23.2747440Z pandas\tests\dtypes\cast\test_promote.py:435: 
2021-11-07T02:05:23.2750795Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:23.2751584Z pandas\core\series.py:440: in __init__
2021-11-07T02:05:23.2752318Z     data = sanitize_array(data, index, dtype, copy)
2021-11-07T02:05:23.2753083Z pandas\core\construction.py:575: in sanitize_array
2021-11-07T02:05:23.2753828Z     subarr = _try_cast(data, dtype, copy, raise_cast_failure)
2021-11-07T02:05:23.2754583Z pandas\core\construction.py:734: in _try_cast
2021-11-07T02:05:23.2755391Z     return maybe_cast_to_datetime(arr, dtype)
2021-11-07T02:05:23.2756144Z pandas\core\dtypes\cast.py:1675: in maybe_cast_to_datetime
2021-11-07T02:05:23.2756878Z     value = dta.tz_localize(dtype.tz)
2021-11-07T02:05:23.2757582Z pandas\core\arrays\_mixins.py:74: in method
2021-11-07T02:05:23.2758331Z     return meth(self, *args, **kwargs)
2021-11-07T02:05:23.2759140Z pandas\core\arrays\datetimes.py:1045: in tz_localize
2021-11-07T02:05:23.2759902Z     new_dates = tzconversion.tz_localize_to_utc(
2021-11-07T02:05:23.2760655Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:23.2761210Z 
2021-11-07T02:05:23.2761826Z >   raise pytz.AmbiguousTimeError(
2021-11-07T02:05:23.2762697Z E   pytz.exceptions.AmbiguousTimeError: Cannot infer dst time from 2021-11-07 01:55:26.738854, try using the 'ambiguous' argument
2021-11-07T02:05:23.2763346Z 
2021-11-07T02:05:23.2764039Z pandas\_libs\tslibs\tzconversion.pyx:284: AmbiguousTimeError
2021-11-07T02:05:23.2764867Z _ test_maybe_promote_any_numpy_dtype_with_datetimetz[float64-'dateutil/US/Pacific'-pd.Timestamp] _
2021-11-07T02:05:23.2765721Z [gw0] win32 -- Python 3.8.12 C:\Miniconda\envs\pandas-dev\python.exe
2021-11-07T02:05:23.2766271Z 
2021-11-07T02:05:23.2766967Z any_numpy_dtype_reduced = 'float64', tz_aware_fixture = 'dateutil/US/Pacific'
2021-11-07T02:05:23.2767759Z fill_value = Timestamp('2021-11-07 01:55:26.738854')
2021-11-07T02:05:23.2768277Z 
2021-11-07T02:05:23.2769013Z     @pytest.mark.parametrize(
2021-11-07T02:05:23.2769647Z         "fill_value",
2021-11-07T02:05:23.2770267Z         [
2021-11-07T02:05:23.2770884Z             pd.Timestamp("now"),
2021-11-07T02:05:23.2771555Z             np.datetime64("now"),
2021-11-07T02:05:23.2772236Z             datetime.datetime.now(),
2021-11-07T02:05:23.2772977Z             datetime.date.today(),
2021-11-07T02:05:23.2773615Z         ],
2021-11-07T02:05:23.2774313Z         ids=["pd.Timestamp", "np.datetime64", "datetime.datetime", "datetime.date"],
2021-11-07T02:05:23.2775022Z     )
2021-11-07T02:05:23.2775688Z     def test_maybe_promote_any_numpy_dtype_with_datetimetz(
2021-11-07T02:05:23.2776433Z         any_numpy_dtype_reduced, tz_aware_fixture, fill_value
2021-11-07T02:05:23.2777115Z     ):
2021-11-07T02:05:23.2777762Z         dtype = np.dtype(any_numpy_dtype_reduced)
2021-11-07T02:05:23.2778548Z         fill_dtype = DatetimeTZDtype(tz=tz_aware_fixture)
2021-11-07T02:05:23.2779245Z     
2021-11-07T02:05:23.2779940Z >       fill_value = pd.Series([fill_value], dtype=fill_dtype)[0]
2021-11-07T02:05:23.2780470Z 
2021-11-07T02:05:23.2781149Z pandas\tests\dtypes\cast\test_promote.py:435: 
2021-11-07T02:05:23.2781923Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:23.2782700Z pandas\core\series.py:440: in __init__
2021-11-07T02:05:23.2783428Z     data = sanitize_array(data, index, dtype, copy)
2021-11-07T02:05:23.2784159Z pandas\core\construction.py:575: in sanitize_array
2021-11-07T02:05:23.2784921Z     subarr = _try_cast(data, dtype, copy, raise_cast_failure)
2021-11-07T02:05:23.2785673Z pandas\core\construction.py:734: in _try_cast
2021-11-07T02:05:23.2786382Z     return maybe_cast_to_datetime(arr, dtype)
2021-11-07T02:05:23.2787323Z pandas\core\dtypes\cast.py:1675: in maybe_cast_to_datetime
2021-11-07T02:05:23.2788039Z     value = dta.tz_localize(dtype.tz)
2021-11-07T02:05:23.2788803Z pandas\core\arrays\_mixins.py:74: in method
2021-11-07T02:05:23.2789637Z     return meth(self, *args, **kwargs)
2021-11-07T02:05:23.2790348Z pandas\core\arrays\datetimes.py:1045: in tz_localize
2021-11-07T02:05:23.2791175Z     new_dates = tzconversion.tz_localize_to_utc(
2021-11-07T02:05:23.2791925Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:23.2792472Z 
2021-11-07T02:05:23.2793077Z >   raise pytz.AmbiguousTimeError(
2021-11-07T02:05:23.5364824Z Test results publishing 1000, remaining: 63765. Test run id: 2915250
2021-11-07T02:05:23.8478606Z Test results publishing 1000, remaining: 62765. Test run id: 2915250
2021-11-07T02:05:24.0418584Z E   pytz.exceptions.AmbiguousTimeError: Cannot infer dst time from 2021-11-07 01:55:26.738854, try using the 'ambiguous' argument
2021-11-07T02:05:24.0420102Z 
2021-11-07T02:05:24.0420890Z pandas\_libs\tslibs\tzconversion.pyx:284: AmbiguousTimeError
2021-11-07T02:05:24.0421808Z _ test_maybe_promote_any_numpy_dtype_with_datetimetz[float64-'dateutil/US/Pacific'-datetime.datetime] _
2021-11-07T02:05:24.0422708Z [gw0] win32 -- Python 3.8.12 C:\Miniconda\envs\pandas-dev\python.exe
2021-11-07T02:05:24.0423239Z 
2021-11-07T02:05:24.0423950Z any_numpy_dtype_reduced = 'float64', tz_aware_fixture = 'dateutil/US/Pacific'
2021-11-07T02:05:24.0424763Z fill_value = datetime.datetime(2021, 11, 7, 1, 55, 26, 738854)
2021-11-07T02:05:24.0425282Z 
2021-11-07T02:05:24.0425892Z     @pytest.mark.parametrize(
2021-11-07T02:05:24.0426554Z         "fill_value",
2021-11-07T02:05:24.0427157Z         [
2021-11-07T02:05:24.0427800Z             pd.Timestamp("now"),
2021-11-07T02:05:24.0428457Z             np.datetime64("now"),
2021-11-07T02:05:24.0434400Z             datetime.datetime.now(),
2021-11-07T02:05:24.0435792Z             datetime.date.today(),
2021-11-07T02:05:24.0436536Z         ],
2021-11-07T02:05:24.0437285Z         ids=["pd.Timestamp", "np.datetime64", "datetime.datetime", "datetime.date"],
2021-11-07T02:05:24.0438198Z     )
2021-11-07T02:05:24.0438972Z     def test_maybe_promote_any_numpy_dtype_with_datetimetz(
2021-11-07T02:05:24.0439753Z         any_numpy_dtype_reduced, tz_aware_fixture, fill_value
2021-11-07T02:05:24.0440427Z     ):
2021-11-07T02:05:24.0441104Z         dtype = np.dtype(any_numpy_dtype_reduced)
2021-11-07T02:05:24.0441837Z         fill_dtype = DatetimeTZDtype(tz=tz_aware_fixture)
2021-11-07T02:05:24.0442515Z     
2021-11-07T02:05:24.0443207Z >       fill_value = pd.Series([fill_value], dtype=fill_dtype)[0]
2021-11-07T02:05:24.0443728Z 
2021-11-07T02:05:24.0444426Z pandas\tests\dtypes\cast\test_promote.py:435: 
2021-11-07T02:05:24.0445213Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:24.0490385Z pandas\core\series.py:440: in __init__
2021-11-07T02:05:24.0491586Z     data = sanitize_array(data, index, dtype, copy)
2021-11-07T02:05:24.0492412Z pandas\core\construction.py:575: in sanitize_array
2021-11-07T02:05:24.0493238Z     subarr = _try_cast(data, dtype, copy, raise_cast_failure)
2021-11-07T02:05:24.0493998Z pandas\core\construction.py:734: in _try_cast
2021-11-07T02:05:24.0494737Z     return maybe_cast_to_datetime(arr, dtype)
2021-11-07T02:05:24.0495471Z pandas\core\dtypes\cast.py:1675: in maybe_cast_to_datetime
2021-11-07T02:05:24.0496274Z     value = dta.tz_localize(dtype.tz)
2021-11-07T02:05:24.0496997Z pandas\core\arrays\_mixins.py:74: in method
2021-11-07T02:05:24.0497700Z     return meth(self, *args, **kwargs)
2021-11-07T02:05:24.0498441Z pandas\core\arrays\datetimes.py:1045: in tz_localize
2021-11-07T02:05:24.0499262Z     new_dates = tzconversion.tz_localize_to_utc(
2021-11-07T02:05:24.0500021Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:24.0500586Z 
2021-11-07T02:05:24.0501359Z >   raise pytz.AmbiguousTimeError(
2021-11-07T02:05:24.0502588Z E   pytz.exceptions.AmbiguousTimeError: Cannot infer dst time from 2021-11-07 01:55:26.738854, try using the 'ambiguous' argument
2021-11-07T02:05:24.0503304Z 
2021-11-07T02:05:24.0504191Z pandas\_libs\tslibs\tzconversion.pyx:284: AmbiguousTimeError
2021-11-07T02:05:24.0505026Z _ test_maybe_promote_any_numpy_dtype_with_datetimetz[complex64-'US/Eastern'-pd.Timestamp] _
2021-11-07T02:05:24.0505883Z [gw0] win32 -- Python 3.8.12 C:\Miniconda\envs\pandas-dev\python.exe
2021-11-07T02:05:24.0506413Z 
2021-11-07T02:05:24.0507105Z any_numpy_dtype_reduced = 'complex64', tz_aware_fixture = 'US/Eastern'
2021-11-07T02:05:24.0507903Z fill_value = Timestamp('2021-11-07 01:55:26.738854')
2021-11-07T02:05:24.0508436Z 
2021-11-07T02:05:24.0509131Z     @pytest.mark.parametrize(
2021-11-07T02:05:24.0509789Z         "fill_value",
2021-11-07T02:05:24.0510414Z         [
2021-11-07T02:05:24.0511034Z             pd.Timestamp("now"),
2021-11-07T02:05:24.0511720Z             np.datetime64("now"),
2021-11-07T02:05:24.0512387Z             datetime.datetime.now(),
2021-11-07T02:05:24.0513070Z             datetime.date.today(),
2021-11-07T02:05:24.0513711Z         ],
2021-11-07T02:05:24.0514417Z         ids=["pd.Timestamp", "np.datetime64", "datetime.datetime", "datetime.date"],
2021-11-07T02:05:24.0515130Z     )
2021-11-07T02:05:24.0515803Z     def test_maybe_promote_any_numpy_dtype_with_datetimetz(
2021-11-07T02:05:24.0516545Z         any_numpy_dtype_reduced, tz_aware_fixture, fill_value
2021-11-07T02:05:24.0517226Z     ):
2021-11-07T02:05:24.0517873Z         dtype = np.dtype(any_numpy_dtype_reduced)
2021-11-07T02:05:24.0518658Z         fill_dtype = DatetimeTZDtype(tz=tz_aware_fixture)
2021-11-07T02:05:24.0519424Z     
2021-11-07T02:05:24.0520090Z >       fill_value = pd.Series([fill_value], dtype=fill_dtype)[0]
2021-11-07T02:05:24.0520617Z 
2021-11-07T02:05:24.0521270Z pandas\tests\dtypes\cast\test_promote.py:435: 
2021-11-07T02:05:24.0522064Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:24.0522828Z pandas\core\series.py:440: in __init__
2021-11-07T02:05:24.0523555Z     data = sanitize_array(data, index, dtype, copy)
2021-11-07T02:05:24.0524309Z pandas\core\construction.py:575: in sanitize_array
2021-11-07T02:05:24.0525080Z     subarr = _try_cast(data, dtype, copy, raise_cast_failure)
2021-11-07T02:05:24.0525833Z pandas\core\construction.py:734: in _try_cast
2021-11-07T02:05:24.0526544Z     return maybe_cast_to_datetime(arr, dtype)
2021-11-07T02:05:24.0527296Z pandas\core\dtypes\cast.py:1675: in maybe_cast_to_datetime
2021-11-07T02:05:24.0528030Z     value = dta.tz_localize(dtype.tz)
2021-11-07T02:05:24.0528770Z pandas\core\arrays\_mixins.py:74: in method
2021-11-07T02:05:24.0529546Z     return meth(self, *args, **kwargs)
2021-11-07T02:05:24.0530281Z pandas\core\arrays\datetimes.py:1045: in tz_localize
2021-11-07T02:05:24.0531014Z     new_dates = tzconversion.tz_localize_to_utc(
2021-11-07T02:05:24.0531791Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:24.0533566Z 
2021-11-07T02:05:24.0534543Z >   raise pytz.AmbiguousTimeError(
2021-11-07T02:05:24.0535487Z E   pytz.exceptions.AmbiguousTimeError: Cannot infer dst time from 2021-11-07 01:55:26.738854, try using the 'ambiguous' argument
2021-11-07T02:05:24.0536191Z 
2021-11-07T02:05:24.0537077Z pandas\_libs\tslibs\tzconversion.pyx:284: AmbiguousTimeError
2021-11-07T02:05:24.0537948Z _ test_maybe_promote_any_numpy_dtype_with_datetimetz[complex64-'US/Eastern'-datetime.datetime] _
2021-11-07T02:05:24.0540167Z [gw0] win32 -- Python 3.8.12 C:\Miniconda\envs\pandas-dev\python.exe
2021-11-07T02:05:24.0540755Z 
2021-11-07T02:05:24.0541457Z any_numpy_dtype_reduced = 'complex64', tz_aware_fixture = 'US/Eastern'
2021-11-07T02:05:24.0542229Z fill_value = datetime.datetime(2021, 11, 7, 1, 55, 26, 738854)
2021-11-07T02:05:24.0542747Z 
2021-11-07T02:05:24.0543375Z     @pytest.mark.parametrize(
2021-11-07T02:05:24.0544297Z         "fill_value",
2021-11-07T02:05:24.0544903Z         [
2021-11-07T02:05:24.0545549Z             pd.Timestamp("now"),
2021-11-07T02:05:24.0546227Z             np.datetime64("now"),
2021-11-07T02:05:24.0547007Z             datetime.datetime.now(),
2021-11-07T02:05:24.0547695Z             datetime.date.today(),
2021-11-07T02:05:24.0548311Z         ],
2021-11-07T02:05:24.0549036Z         ids=["pd.Timestamp", "np.datetime64", "datetime.datetime", "datetime.date"],
2021-11-07T02:05:24.0549829Z     )
2021-11-07T02:05:24.0550526Z     def test_maybe_promote_any_numpy_dtype_with_datetimetz(
2021-11-07T02:05:24.0551322Z         any_numpy_dtype_reduced, tz_aware_fixture, fill_value
2021-11-07T02:05:24.0552001Z     ):
2021-11-07T02:05:24.0552673Z         dtype = np.dtype(any_numpy_dtype_reduced)
2021-11-07T02:05:24.0553418Z         fill_dtype = DatetimeTZDtype(tz=tz_aware_fixture)
2021-11-07T02:05:24.0554070Z     
2021-11-07T02:05:24.0554758Z >       fill_value = pd.Series([fill_value], dtype=fill_dtype)[0]
2021-11-07T02:05:24.0555272Z 
2021-11-07T02:05:24.0555950Z pandas\tests\dtypes\cast\test_promote.py:435: 
2021-11-07T02:05:24.0556723Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:24.0557513Z pandas\core\series.py:440: in __init__
2021-11-07T02:05:24.0558349Z     data = sanitize_array(data, index, dtype, copy)
2021-11-07T02:05:24.0559154Z pandas\core\construction.py:575: in sanitize_array
2021-11-07T02:05:24.0559964Z     subarr = _try_cast(data, dtype, copy, raise_cast_failure)
2021-11-07T02:05:24.0560740Z pandas\core\construction.py:734: in _try_cast
2021-11-07T02:05:24.0561464Z     return maybe_cast_to_datetime(arr, dtype)
2021-11-07T02:05:24.0562229Z pandas\core\dtypes\cast.py:1675: in maybe_cast_to_datetime
2021-11-07T02:05:24.0562967Z     value = dta.tz_localize(dtype.tz)
2021-11-07T02:05:24.0563707Z pandas\core\arrays\_mixins.py:74: in method
2021-11-07T02:05:24.0564439Z     return meth(self, *args, **kwargs)
2021-11-07T02:05:24.0565169Z pandas\core\arrays\datetimes.py:1045: in tz_localize
2021-11-07T02:05:24.0565929Z     new_dates = tzconversion.tz_localize_to_utc(
2021-11-07T02:05:24.0566695Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:24.0567273Z 
2021-11-07T02:05:24.0567898Z >   raise pytz.AmbiguousTimeError(
2021-11-07T02:05:24.0568845Z E   pytz.exceptions.AmbiguousTimeError: Cannot infer dst time from 2021-11-07 01:55:26.738854, try using the 'ambiguous' argument
2021-11-07T02:05:24.0569514Z 
2021-11-07T02:05:24.0570221Z pandas\_libs\tslibs\tzconversion.pyx:284: AmbiguousTimeError
2021-11-07T02:05:24.0571078Z _ test_maybe_promote_any_numpy_dtype_with_datetimetz[complex64-'dateutil/US/Pacific'-pd.Timestamp] _
2021-11-07T02:05:24.0571933Z [gw0] win32 -- Python 3.8.12 C:\Miniconda\envs\pandas-dev\python.exe
2021-11-07T02:05:24.0572502Z 
2021-11-07T02:05:24.0573255Z any_numpy_dtype_reduced = 'complex64', tz_aware_fixture = 'dateutil/US/Pacific'
2021-11-07T02:05:24.0574105Z fill_value = Timestamp('2021-11-07 01:55:26.738854')
2021-11-07T02:05:24.0574643Z 
2021-11-07T02:05:24.0575284Z     @pytest.mark.parametrize(
2021-11-07T02:05:24.0576019Z         "fill_value",
2021-11-07T02:05:24.0576678Z         [
2021-11-07T02:05:24.0577312Z             pd.Timestamp("now"),
2021-11-07T02:05:24.0577991Z             np.datetime64("now"),
2021-11-07T02:05:24.0578726Z             datetime.datetime.now(),
2021-11-07T02:05:24.0579420Z             datetime.date.today(),
2021-11-07T02:05:24.0580070Z         ],
2021-11-07T02:05:24.0580773Z         ids=["pd.Timestamp", "np.datetime64", "datetime.datetime", "datetime.date"],
2021-11-07T02:05:24.0581497Z     )
2021-11-07T02:05:24.0582171Z     def test_maybe_promote_any_numpy_dtype_with_datetimetz(
2021-11-07T02:05:24.0582918Z         any_numpy_dtype_reduced, tz_aware_fixture, fill_value
2021-11-07T02:05:24.0583599Z     ):
2021-11-07T02:05:24.0584269Z         dtype = np.dtype(any_numpy_dtype_reduced)
2021-11-07T02:05:24.0585938Z         fill_dtype = DatetimeTZDtype(tz=tz_aware_fixture)
2021-11-07T02:05:24.0586630Z     
2021-11-07T02:05:24.0587303Z >       fill_value = pd.Series([fill_value], dtype=fill_dtype)[0]
2021-11-07T02:05:24.0587960Z 
2021-11-07T02:05:24.0588691Z pandas\tests\dtypes\cast\test_promote.py:435: 
2021-11-07T02:05:24.0589514Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:24.0590302Z pandas\core\series.py:440: in __init__
2021-11-07T02:05:24.0591025Z     data = sanitize_array(data, index, dtype, copy)
2021-11-07T02:05:24.0591787Z pandas\core\construction.py:575: in sanitize_array
2021-11-07T02:05:24.0592538Z     subarr = _try_cast(data, dtype, copy, raise_cast_failure)
2021-11-07T02:05:24.0593301Z pandas\core\construction.py:734: in _try_cast
2021-11-07T02:05:24.0594037Z     return maybe_cast_to_datetime(arr, dtype)
2021-11-07T02:05:24.0594819Z pandas\core\dtypes\cast.py:1675: in maybe_cast_to_datetime
2021-11-07T02:05:24.0595660Z     value = dta.tz_localize(dtype.tz)
2021-11-07T02:05:24.0596398Z pandas\core\arrays\_mixins.py:74: in method
2021-11-07T02:05:24.0597131Z     return meth(self, *args, **kwargs)
2021-11-07T02:05:24.0597875Z pandas\core\arrays\datetimes.py:1045: in tz_localize
2021-11-07T02:05:24.0598871Z     new_dates = tzconversion.tz_localize_to_utc(
2021-11-07T02:05:24.0599676Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:24.0600215Z 
2021-11-07T02:05:24.0600850Z >   raise pytz.AmbiguousTimeError(
2021-11-07T02:05:24.0601720Z E   pytz.exceptions.AmbiguousTimeError: Cannot infer dst time from 2021-11-07 01:55:26.738854, try using the 'ambiguous' argument
2021-11-07T02:05:24.0602399Z 
2021-11-07T02:05:24.0603080Z pandas\_libs\tslibs\tzconversion.pyx:284: AmbiguousTimeError
2021-11-07T02:05:24.0603939Z _ test_maybe_promote_any_numpy_dtype_with_datetimetz[complex64-'dateutil/US/Pacific'-datetime.datetime] _
2021-11-07T02:05:24.1373397Z Test results publishing 1000, remaining: 61765. Test run id: 2915250
2021-11-07T02:05:24.4171905Z Test results publishing 1000, remaining: 60765. Test run id: 2915250
2021-11-07T02:05:24.7693537Z Test results publishing 1000, remaining: 59765. Test run id: 2915250
2021-11-07T02:05:24.8771272Z [gw0] win32 -- Python 3.8.12 C:\Miniconda\envs\pandas-dev\python.exe
2021-11-07T02:05:24.8772843Z 
2021-11-07T02:05:24.8774161Z any_numpy_dtype_reduced = 'complex64', tz_aware_fixture = 'dateutil/US/Pacific'
2021-11-07T02:05:24.8775043Z fill_value = datetime.datetime(2021, 11, 7, 1, 55, 26, 738854)
2021-11-07T02:05:24.8775555Z 
2021-11-07T02:05:24.8776245Z     @pytest.mark.parametrize(
2021-11-07T02:05:24.8776897Z         "fill_value",
2021-11-07T02:05:24.8777534Z         [
2021-11-07T02:05:24.8778152Z             pd.Timestamp("now"),
2021-11-07T02:05:24.8779012Z             np.datetime64("now"),
2021-11-07T02:05:24.8779699Z             datetime.datetime.now(),
2021-11-07T02:05:24.8780365Z             datetime.date.today(),
2021-11-07T02:05:24.8781021Z         ],
2021-11-07T02:05:24.8781729Z         ids=["pd.Timestamp", "np.datetime64", "datetime.datetime", "datetime.date"],
2021-11-07T02:05:24.8782449Z     )
2021-11-07T02:05:24.8783134Z     def test_maybe_promote_any_numpy_dtype_with_datetimetz(
2021-11-07T02:05:24.8783965Z         any_numpy_dtype_reduced, tz_aware_fixture, fill_value
2021-11-07T02:05:24.8784658Z     ):
2021-11-07T02:05:24.8785308Z         dtype = np.dtype(any_numpy_dtype_reduced)
2021-11-07T02:05:24.8786118Z         fill_dtype = DatetimeTZDtype(tz=tz_aware_fixture)
2021-11-07T02:05:24.8786805Z     
2021-11-07T02:05:24.8787471Z >       fill_value = pd.Series([fill_value], dtype=fill_dtype)[0]
2021-11-07T02:05:24.8788021Z 
2021-11-07T02:05:24.8788688Z pandas\tests\dtypes\cast\test_promote.py:435: 
2021-11-07T02:05:24.8789497Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:24.8790276Z pandas\core\series.py:440: in __init__
2021-11-07T02:05:24.8790989Z     data = sanitize_array(data, index, dtype, copy)
2021-11-07T02:05:24.8792088Z pandas\core\construction.py:575: in sanitize_array
2021-11-07T02:05:24.8792835Z     subarr = _try_cast(data, dtype, copy, raise_cast_failure)
2021-11-07T02:05:24.8793737Z pandas\core\construction.py:734: in _try_cast
2021-11-07T02:05:24.8794478Z     return maybe_cast_to_datetime(arr, dtype)
2021-11-07T02:05:24.8795277Z pandas\core\dtypes\cast.py:1675: in maybe_cast_to_datetime
2021-11-07T02:05:24.8796085Z     value = dta.tz_localize(dtype.tz)
2021-11-07T02:05:24.8796826Z pandas\core\arrays\_mixins.py:74: in method
2021-11-07T02:05:24.8797670Z     return meth(self, *args, **kwargs)
2021-11-07T02:05:24.8798420Z pandas\core\arrays\datetimes.py:1045: in tz_localize
2021-11-07T02:05:24.8799188Z     new_dates = tzconversion.tz_localize_to_utc(
2021-11-07T02:05:24.8799950Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:24.8800522Z 
2021-11-07T02:05:24.8801162Z >   raise pytz.AmbiguousTimeError(
2021-11-07T02:05:24.8802065Z E   pytz.exceptions.AmbiguousTimeError: Cannot infer dst time from 2021-11-07 01:55:26.738854, try using the 'ambiguous' argument
2021-11-07T02:05:24.8802751Z 
2021-11-07T02:05:24.8803448Z pandas\_libs\tslibs\tzconversion.pyx:284: AmbiguousTimeError
2021-11-07T02:05:24.8804315Z _ test_maybe_promote_any_numpy_dtype_with_datetimetz[complex128-'US/Eastern'-pd.Timestamp] _
2021-11-07T02:05:24.8805187Z [gw0] win32 -- Python 3.8.12 C:\Miniconda\envs\pandas-dev\python.exe
2021-11-07T02:05:24.8805776Z 
2021-11-07T02:05:24.8806582Z any_numpy_dtype_reduced = 'complex128', tz_aware_fixture = 'US/Eastern'
2021-11-07T02:05:24.8807394Z fill_value = Timestamp('2021-11-07 01:55:26.738854')
2021-11-07T02:05:24.8807918Z 
2021-11-07T02:05:24.8808561Z     @pytest.mark.parametrize(
2021-11-07T02:05:24.8809230Z         "fill_value",
2021-11-07T02:05:24.8809843Z         [
2021-11-07T02:05:24.8810484Z             pd.Timestamp("now"),
2021-11-07T02:05:24.8811195Z             np.datetime64("now"),
2021-11-07T02:05:24.8811918Z             datetime.datetime.now(),
2021-11-07T02:05:24.8812599Z             datetime.date.today(),
2021-11-07T02:05:24.8813246Z         ],
2021-11-07T02:05:24.8813963Z         ids=["pd.Timestamp", "np.datetime64", "datetime.datetime", "datetime.date"],
2021-11-07T02:05:24.8814675Z     )
2021-11-07T02:05:24.8815453Z     def test_maybe_promote_any_numpy_dtype_with_datetimetz(
2021-11-07T02:05:24.8816275Z         any_numpy_dtype_reduced, tz_aware_fixture, fill_value
2021-11-07T02:05:24.8816940Z     ):
2021-11-07T02:05:24.8817642Z         dtype = np.dtype(any_numpy_dtype_reduced)
2021-11-07T02:05:24.8818391Z         fill_dtype = DatetimeTZDtype(tz=tz_aware_fixture)
2021-11-07T02:05:24.8819074Z     
2021-11-07T02:05:24.8819774Z >       fill_value = pd.Series([fill_value], dtype=fill_dtype)[0]
2021-11-07T02:05:24.8820289Z 
2021-11-07T02:05:24.8820975Z pandas\tests\dtypes\cast\test_promote.py:435: 
2021-11-07T02:05:24.8821780Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:24.8822560Z pandas\core\series.py:440: in __init__
2021-11-07T02:05:24.8823309Z     data = sanitize_array(data, index, dtype, copy)
2021-11-07T02:05:24.8824086Z pandas\core\construction.py:575: in sanitize_array
2021-11-07T02:05:24.8824854Z     subarr = _try_cast(data, dtype, copy, raise_cast_failure)
2021-11-07T02:05:24.8825621Z pandas\core\construction.py:734: in _try_cast
2021-11-07T02:05:24.8826405Z     return maybe_cast_to_datetime(arr, dtype)
2021-11-07T02:05:24.8827171Z pandas\core\dtypes\cast.py:1675: in maybe_cast_to_datetime
2021-11-07T02:05:24.8827913Z     value = dta.tz_localize(dtype.tz)
2021-11-07T02:05:24.8828650Z pandas\core\arrays\_mixins.py:74: in method
2021-11-07T02:05:24.8829368Z     return meth(self, *args, **kwargs)
2021-11-07T02:05:24.8830086Z pandas\core\arrays\datetimes.py:1045: in tz_localize
2021-11-07T02:05:24.8830850Z     new_dates = tzconversion.tz_localize_to_utc(
2021-11-07T02:05:24.8831625Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:24.8832359Z 
2021-11-07T02:05:24.8833086Z >   raise pytz.AmbiguousTimeError(
2021-11-07T02:05:24.8833958Z E   pytz.exceptions.AmbiguousTimeError: Cannot infer dst time from 2021-11-07 01:55:26.738854, try using the 'ambiguous' argument
2021-11-07T02:05:24.8834758Z 
2021-11-07T02:05:24.8835436Z pandas\_libs\tslibs\tzconversion.pyx:284: AmbiguousTimeError
2021-11-07T02:05:24.8843208Z _ test_maybe_promote_any_numpy_dtype_with_datetimetz[complex128-'US/Eastern'-datetime.datetime] _
2021-11-07T02:05:24.8844700Z [gw0] win32 -- Python 3.8.12 C:\Miniconda\envs\pandas-dev\python.exe
2021-11-07T02:05:24.8845407Z 
2021-11-07T02:05:24.8846167Z any_numpy_dtype_reduced = 'complex128', tz_aware_fixture = 'US/Eastern'
2021-11-07T02:05:24.8847136Z fill_value = datetime.datetime(2021, 11, 7, 1, 55, 26, 738854)
2021-11-07T02:05:24.8847653Z 
2021-11-07T02:05:24.8848304Z     @pytest.mark.parametrize(
2021-11-07T02:05:24.8848963Z         "fill_value",
2021-11-07T02:05:24.8849601Z         [
2021-11-07T02:05:24.8850217Z             pd.Timestamp("now"),
2021-11-07T02:05:24.8850899Z             np.datetime64("now"),
2021-11-07T02:05:24.8851576Z             datetime.datetime.now(),
2021-11-07T02:05:24.8852248Z             datetime.date.today(),
2021-11-07T02:05:24.8852883Z         ],
2021-11-07T02:05:24.8853588Z         ids=["pd.Timestamp", "np.datetime64", "datetime.datetime", "datetime.date"],
2021-11-07T02:05:24.8854313Z     )
2021-11-07T02:05:24.8854982Z     def test_maybe_promote_any_numpy_dtype_with_datetimetz(
2021-11-07T02:05:24.8855723Z         any_numpy_dtype_reduced, tz_aware_fixture, fill_value
2021-11-07T02:05:24.8856456Z     ):
2021-11-07T02:05:24.8857118Z         dtype = np.dtype(any_numpy_dtype_reduced)
2021-11-07T02:05:24.8857845Z         fill_dtype = DatetimeTZDtype(tz=tz_aware_fixture)
2021-11-07T02:05:24.8858617Z     
2021-11-07T02:05:24.8859282Z >       fill_value = pd.Series([fill_value], dtype=fill_dtype)[0]
2021-11-07T02:05:24.8859813Z 
2021-11-07T02:05:24.8860467Z pandas\tests\dtypes\cast\test_promote.py:435: 
2021-11-07T02:05:24.8861256Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:24.8862033Z pandas\core\series.py:440: in __init__
2021-11-07T02:05:24.8862743Z     data = sanitize_array(data, index, dtype, copy)
2021-11-07T02:05:24.8863499Z pandas\core\construction.py:575: in sanitize_array
2021-11-07T02:05:24.8864243Z     subarr = _try_cast(data, dtype, copy, raise_cast_failure)
2021-11-07T02:05:24.8865001Z pandas\core\construction.py:734: in _try_cast
2021-11-07T02:05:24.8865724Z     return maybe_cast_to_datetime(arr, dtype)
2021-11-07T02:05:24.8866499Z pandas\core\dtypes\cast.py:1675: in maybe_cast_to_datetime
2021-11-07T02:05:24.8867233Z     value = dta.tz_localize(dtype.tz)
2021-11-07T02:05:24.8867929Z pandas\core\arrays\_mixins.py:74: in method
2021-11-07T02:05:24.8868646Z     return meth(self, *args, **kwargs)
2021-11-07T02:05:24.8869387Z pandas\core\arrays\datetimes.py:1045: in tz_localize
2021-11-07T02:05:24.8870138Z     new_dates = tzconversion.tz_localize_to_utc(
2021-11-07T02:05:24.8870929Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:24.8871465Z 
2021-11-07T02:05:24.8872099Z >   raise pytz.AmbiguousTimeError(
2021-11-07T02:05:24.8872955Z E   pytz.exceptions.AmbiguousTimeError: Cannot infer dst time from 2021-11-07 01:55:26.738854, try using the 'ambiguous' argument
2021-11-07T02:05:24.8873631Z 
2021-11-07T02:05:24.8874305Z pandas\_libs\tslibs\tzconversion.pyx:284: AmbiguousTimeError
2021-11-07T02:05:24.8875153Z _ test_maybe_promote_any_numpy_dtype_with_datetimetz[complex128-'dateutil/US/Pacific'-pd.Timestamp] _
2021-11-07T02:05:24.8876378Z [gw0] win32 -- Python 3.8.12 C:\Miniconda\envs\pandas-dev\python.exe
2021-11-07T02:05:24.8876930Z 
2021-11-07T02:05:24.8877655Z any_numpy_dtype_reduced = 'complex128', tz_aware_fixture = 'dateutil/US/Pacific'
2021-11-07T02:05:24.8878665Z fill_value = Timestamp('2021-11-07 01:55:26.738854')
2021-11-07T02:05:24.8879193Z 
2021-11-07T02:05:24.8879800Z     @pytest.mark.parametrize(
2021-11-07T02:05:24.8880457Z         "fill_value",
2021-11-07T02:05:24.8881171Z         [
2021-11-07T02:05:24.8881825Z             pd.Timestamp("now"),
2021-11-07T02:05:24.8882494Z             np.datetime64("now"),
2021-11-07T02:05:24.8883180Z             datetime.datetime.now(),
2021-11-07T02:05:24.8883861Z             datetime.date.today(),
2021-11-07T02:05:24.8884483Z         ],
2021-11-07T02:05:24.8885198Z         ids=["pd.Timestamp", "np.datetime64", "datetime.datetime", "datetime.date"],
2021-11-07T02:05:24.8885966Z     )
2021-11-07T02:05:24.8886638Z     def test_maybe_promote_any_numpy_dtype_with_datetimetz(
2021-11-07T02:05:24.8887399Z         any_numpy_dtype_reduced, tz_aware_fixture, fill_value
2021-11-07T02:05:24.8888058Z     ):
2021-11-07T02:05:24.8888728Z         dtype = np.dtype(any_numpy_dtype_reduced)
2021-11-07T02:05:24.8889479Z         fill_dtype = DatetimeTZDtype(tz=tz_aware_fixture)
2021-11-07T02:05:24.8890124Z     
2021-11-07T02:05:24.8890806Z >       fill_value = pd.Series([fill_value], dtype=fill_dtype)[0]
2021-11-07T02:05:24.8891314Z 
2021-11-07T02:05:24.8892021Z pandas\tests\dtypes\cast\test_promote.py:435: 
2021-11-07T02:05:24.8892800Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:24.8893566Z pandas\core\series.py:440: in __init__
2021-11-07T02:05:24.8894367Z     data = sanitize_array(data, index, dtype, copy)
2021-11-07T02:05:24.8895123Z pandas\core\construction.py:575: in sanitize_array
2021-11-07T02:05:24.8895910Z     subarr = _try_cast(data, dtype, copy, raise_cast_failure)
2021-11-07T02:05:24.8896677Z pandas\core\construction.py:734: in _try_cast
2021-11-07T02:05:24.8897404Z     return maybe_cast_to_datetime(arr, dtype)
2021-11-07T02:05:24.8898144Z pandas\core\dtypes\cast.py:1675: in maybe_cast_to_datetime
2021-11-07T02:05:24.8898885Z     value = dta.tz_localize(dtype.tz)
2021-11-07T02:05:24.8899602Z pandas\core\arrays\_mixins.py:74: in method
2021-11-07T02:05:24.8900298Z     return meth(self, *args, **kwargs)
2021-11-07T02:05:24.8901026Z pandas\core\arrays\datetimes.py:1045: in tz_localize
2021-11-07T02:05:24.8901759Z     new_dates = tzconversion.tz_localize_to_utc(
2021-11-07T02:05:24.8902535Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:24.8903061Z 
2021-11-07T02:05:24.8903693Z >   raise pytz.AmbiguousTimeError(
2021-11-07T02:05:24.8904562Z E   pytz.exceptions.AmbiguousTimeError: Cannot infer dst time from 2021-11-07 01:55:26.738854, try using the 'ambiguous' argument
2021-11-07T02:05:24.8905213Z 
2021-11-07T02:05:24.8905954Z pandas\_libs\tslibs\tzconversion.pyx:284: AmbiguousTimeError
2021-11-07T02:05:24.8906800Z _ test_maybe_promote_any_numpy_dtype_with_datetimetz[complex128-'dateutil/US/Pacific'-datetime.datetime] _
2021-11-07T02:05:24.8907667Z [gw0] win32 -- Python 3.8.12 C:\Miniconda\envs\pandas-dev\python.exe
2021-11-07T02:05:24.8908201Z 
2021-11-07T02:05:24.8908905Z any_numpy_dtype_reduced = 'complex128', tz_aware_fixture = 'dateutil/US/Pacific'
2021-11-07T02:05:24.8909699Z fill_value = datetime.datetime(2021, 11, 7, 1, 55, 26, 738854)
2021-11-07T02:05:24.8910226Z 
2021-11-07T02:05:24.8910861Z     @pytest.mark.parametrize(
2021-11-07T02:05:24.8911601Z         "fill_value",
2021-11-07T02:05:24.8912224Z         [
2021-11-07T02:05:25.0554985Z Test results publishing 1000, remaining: 58765. Test run id: 2915250
2021-11-07T02:05:25.3350071Z Test results publishing 1000, remaining: 57765. Test run id: 2915250
2021-11-07T02:05:25.6711748Z             pd.Timestamp("now"),
2021-11-07T02:05:25.6713558Z             np.datetime64("now"),
2021-11-07T02:05:25.6714668Z             datetime.datetime.now(),
2021-11-07T02:05:25.6715392Z             datetime.date.today(),
2021-11-07T02:05:25.6716046Z         ],
2021-11-07T02:05:25.6716763Z         ids=["pd.Timestamp", "np.datetime64", "datetime.datetime", "datetime.date"],
2021-11-07T02:05:25.6717860Z     )
2021-11-07T02:05:25.6718525Z     def test_maybe_promote_any_numpy_dtype_with_datetimetz(
2021-11-07T02:05:25.6719291Z         any_numpy_dtype_reduced, tz_aware_fixture, fill_value
2021-11-07T02:05:25.6720111Z     ):
2021-11-07T02:05:25.6720759Z         dtype = np.dtype(any_numpy_dtype_reduced)
2021-11-07T02:05:25.6721503Z         fill_dtype = DatetimeTZDtype(tz=tz_aware_fixture)
2021-11-07T02:05:25.6722208Z     
2021-11-07T02:05:25.6722897Z >       fill_value = pd.Series([fill_value], dtype=fill_dtype)[0]
2021-11-07T02:05:25.6723406Z 
2021-11-07T02:05:25.6724083Z pandas\tests\dtypes\cast\test_promote.py:435: 
2021-11-07T02:05:25.6724875Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:25.6725634Z pandas\core\series.py:440: in __init__
2021-11-07T02:05:25.6726358Z     data = sanitize_array(data, index, dtype, copy)
2021-11-07T02:05:25.6727095Z pandas\core\construction.py:575: in sanitize_array
2021-11-07T02:05:25.6727860Z     subarr = _try_cast(data, dtype, copy, raise_cast_failure)
2021-11-07T02:05:25.6728756Z pandas\core\construction.py:734: in _try_cast
2021-11-07T02:05:25.6729467Z     return maybe_cast_to_datetime(arr, dtype)
2021-11-07T02:05:25.6730218Z pandas\core\dtypes\cast.py:1675: in maybe_cast_to_datetime
2021-11-07T02:05:25.6730954Z     value = dta.tz_localize(dtype.tz)
2021-11-07T02:05:25.6731646Z pandas\core\arrays\_mixins.py:74: in method
2021-11-07T02:05:25.6732406Z     return meth(self, *args, **kwargs)
2021-11-07T02:05:25.6733121Z pandas\core\arrays\datetimes.py:1045: in tz_localize
2021-11-07T02:05:25.6733863Z     new_dates = tzconversion.tz_localize_to_utc(
2021-11-07T02:05:25.6734632Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:25.6735159Z 
2021-11-07T02:05:25.6735837Z >   raise pytz.AmbiguousTimeError(
2021-11-07T02:05:25.6736724Z E   pytz.exceptions.AmbiguousTimeError: Cannot infer dst time from 2021-11-07 01:55:26.738854, try using the 'ambiguous' argument
2021-11-07T02:05:25.6737416Z 
2021-11-07T02:05:25.6738087Z pandas\_libs\tslibs\tzconversion.pyx:284: AmbiguousTimeError
2021-11-07T02:05:25.6738913Z _ test_maybe_promote_any_numpy_dtype_with_datetimetz[M8[ns]-'US/Eastern'-pd.Timestamp] _
2021-11-07T02:05:25.6739736Z [gw0] win32 -- Python 3.8.12 C:\Miniconda\envs\pandas-dev\python.exe
2021-11-07T02:05:25.6740284Z 
2021-11-07T02:05:25.6740994Z any_numpy_dtype_reduced = 'M8[ns]', tz_aware_fixture = 'US/Eastern'
2021-11-07T02:05:25.6741788Z fill_value = Timestamp('2021-11-07 01:55:26.738854')
2021-11-07T02:05:25.6742368Z 
2021-11-07T02:05:25.6743012Z     @pytest.mark.parametrize(
2021-11-07T02:05:25.6743665Z         "fill_value",
2021-11-07T02:05:25.6744268Z         [
2021-11-07T02:05:25.6744898Z             pd.Timestamp("now"),
2021-11-07T02:05:25.6745552Z             np.datetime64("now"),
2021-11-07T02:05:25.6746323Z             datetime.datetime.now(),
2021-11-07T02:05:25.6747011Z             datetime.date.today(),
2021-11-07T02:05:25.6747638Z         ],
2021-11-07T02:05:25.6748362Z         ids=["pd.Timestamp", "np.datetime64", "datetime.datetime", "datetime.date"],
2021-11-07T02:05:25.6749058Z     )
2021-11-07T02:05:25.6749735Z     def test_maybe_promote_any_numpy_dtype_with_datetimetz(
2021-11-07T02:05:25.6750489Z         any_numpy_dtype_reduced, tz_aware_fixture, fill_value
2021-11-07T02:05:25.6751152Z     ):
2021-11-07T02:05:25.6751809Z         dtype = np.dtype(any_numpy_dtype_reduced)
2021-11-07T02:05:25.6752584Z         fill_dtype = DatetimeTZDtype(tz=tz_aware_fixture)
2021-11-07T02:05:25.6753258Z     
2021-11-07T02:05:25.6753933Z >       fill_value = pd.Series([fill_value], dtype=fill_dtype)[0]
2021-11-07T02:05:25.6754440Z 
2021-11-07T02:05:25.6755111Z pandas\tests\dtypes\cast\test_promote.py:435: 
2021-11-07T02:05:25.6755878Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:25.6756644Z pandas\core\series.py:440: in __init__
2021-11-07T02:05:25.6757581Z     data = sanitize_array(data, index, dtype, copy)
2021-11-07T02:05:25.6758339Z pandas\core\construction.py:575: in sanitize_array
2021-11-07T02:05:25.6759101Z     subarr = _try_cast(data, dtype, copy, raise_cast_failure)
2021-11-07T02:05:25.6759942Z pandas\core\construction.py:734: in _try_cast
2021-11-07T02:05:25.6760675Z     return maybe_cast_to_datetime(arr, dtype)
2021-11-07T02:05:25.6761423Z pandas\core\dtypes\cast.py:1675: in maybe_cast_to_datetime
2021-11-07T02:05:25.6762188Z     value = dta.tz_localize(dtype.tz)
2021-11-07T02:05:25.6762915Z pandas\core\arrays\_mixins.py:74: in method
2021-11-07T02:05:25.6763633Z     return meth(self, *args, **kwargs)
2021-11-07T02:05:25.6764452Z pandas\core\arrays\datetimes.py:1045: in tz_localize
2021-11-07T02:05:25.6765217Z     new_dates = tzconversion.tz_localize_to_utc(
2021-11-07T02:05:25.6765983Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:25.6766535Z 
2021-11-07T02:05:25.6767158Z >   raise pytz.AmbiguousTimeError(
2021-11-07T02:05:25.6768034Z E   pytz.exceptions.AmbiguousTimeError: Cannot infer dst time from 2021-11-07 01:55:26.738854, try using the 'ambiguous' argument
2021-11-07T02:05:25.6768700Z 
2021-11-07T02:05:25.6769402Z pandas\_libs\tslibs\tzconversion.pyx:284: AmbiguousTimeError
2021-11-07T02:05:25.6770240Z _ test_maybe_promote_any_numpy_dtype_with_datetimetz[M8[ns]-'US/Eastern'-datetime.datetime] _
2021-11-07T02:05:25.6771075Z [gw0] win32 -- Python 3.8.12 C:\Miniconda\envs\pandas-dev\python.exe
2021-11-07T02:05:25.6771617Z 
2021-11-07T02:05:25.6772337Z any_numpy_dtype_reduced = 'M8[ns]', tz_aware_fixture = 'US/Eastern'
2021-11-07T02:05:25.6773164Z fill_value = datetime.datetime(2021, 11, 7, 1, 55, 26, 738854)
2021-11-07T02:05:25.6773695Z 
2021-11-07T02:05:25.6774332Z     @pytest.mark.parametrize(
2021-11-07T02:05:25.6774984Z         "fill_value",
2021-11-07T02:05:25.6775642Z         [
2021-11-07T02:05:25.6776287Z             pd.Timestamp("now"),
2021-11-07T02:05:25.6776958Z             np.datetime64("now"),
2021-11-07T02:05:25.6777654Z             datetime.datetime.now(),
2021-11-07T02:05:25.6778331Z             datetime.date.today(),
2021-11-07T02:05:25.6778991Z         ],
2021-11-07T02:05:25.6779910Z         ids=["pd.Timestamp", "np.datetime64", "datetime.datetime", "datetime.date"],
2021-11-07T02:05:25.6780627Z     )
2021-11-07T02:05:25.6781325Z     def test_maybe_promote_any_numpy_dtype_with_datetimetz(
2021-11-07T02:05:25.6782219Z         any_numpy_dtype_reduced, tz_aware_fixture, fill_value
2021-11-07T02:05:25.6783033Z     ):
2021-11-07T02:05:25.6783687Z         dtype = np.dtype(any_numpy_dtype_reduced)
2021-11-07T02:05:25.6784440Z         fill_dtype = DatetimeTZDtype(tz=tz_aware_fixture)
2021-11-07T02:05:25.6785102Z     
2021-11-07T02:05:25.6785765Z >       fill_value = pd.Series([fill_value], dtype=fill_dtype)[0]
2021-11-07T02:05:25.6786281Z 
2021-11-07T02:05:25.6786939Z pandas\tests\dtypes\cast\test_promote.py:435: 
2021-11-07T02:05:25.6787738Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:25.6788491Z pandas\core\series.py:440: in __init__
2021-11-07T02:05:25.6789208Z     data = sanitize_array(data, index, dtype, copy)
2021-11-07T02:05:25.6789959Z pandas\core\construction.py:575: in sanitize_array
2021-11-07T02:05:25.6790706Z     subarr = _try_cast(data, dtype, copy, raise_cast_failure)
2021-11-07T02:05:25.6791453Z pandas\core\construction.py:734: in _try_cast
2021-11-07T02:05:25.6792656Z     return maybe_cast_to_datetime(arr, dtype)
2021-11-07T02:05:25.6793576Z pandas\core\dtypes\cast.py:1675: in maybe_cast_to_datetime
2021-11-07T02:05:25.6794335Z     value = dta.tz_localize(dtype.tz)
2021-11-07T02:05:25.6795081Z pandas\core\arrays\_mixins.py:74: in method
2021-11-07T02:05:25.6795794Z     return meth(self, *args, **kwargs)
2021-11-07T02:05:25.6796519Z pandas\core\arrays\datetimes.py:1045: in tz_localize
2021-11-07T02:05:25.6797249Z     new_dates = tzconversion.tz_localize_to_utc(
2021-11-07T02:05:25.6798207Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:25.6798732Z 
2021-11-07T02:05:25.6799362Z >   raise pytz.AmbiguousTimeError(
2021-11-07T02:05:25.6800324Z E   pytz.exceptions.AmbiguousTimeError: Cannot infer dst time from 2021-11-07 01:55:26.738854, try using the 'ambiguous' argument
2021-11-07T02:05:25.6801076Z 
2021-11-07T02:05:25.6801749Z pandas\_libs\tslibs\tzconversion.pyx:284: AmbiguousTimeError
2021-11-07T02:05:25.6802645Z _ test_maybe_promote_any_numpy_dtype_with_datetimetz[M8[ns]-'dateutil/US/Pacific'-pd.Timestamp] _
2021-11-07T02:05:25.6803499Z [gw0] win32 -- Python 3.8.12 C:\Miniconda\envs\pandas-dev\python.exe
2021-11-07T02:05:25.6804032Z 
2021-11-07T02:05:25.6804732Z any_numpy_dtype_reduced = 'M8[ns]', tz_aware_fixture = 'dateutil/US/Pacific'
2021-11-07T02:05:25.6805518Z fill_value = Timestamp('2021-11-07 01:55:26.738854')
2021-11-07T02:05:25.6806057Z 
2021-11-07T02:05:25.6806658Z     @pytest.mark.parametrize(
2021-11-07T02:05:25.6807304Z         "fill_value",
2021-11-07T02:05:25.6807925Z         [
2021-11-07T02:05:25.6808563Z             pd.Timestamp("now"),
2021-11-07T02:05:25.6809233Z             np.datetime64("now"),
2021-11-07T02:05:25.6809898Z             datetime.datetime.now(),
2021-11-07T02:05:25.6810572Z             datetime.date.today(),
2021-11-07T02:05:25.6811191Z         ],
2021-11-07T02:05:25.6811945Z         ids=["pd.Timestamp", "np.datetime64", "datetime.datetime", "datetime.date"],
2021-11-07T02:05:25.6812664Z     )
2021-11-07T02:05:25.6813315Z     def test_maybe_promote_any_numpy_dtype_with_datetimetz(
2021-11-07T02:05:25.6814087Z         any_numpy_dtype_reduced, tz_aware_fixture, fill_value
2021-11-07T02:05:25.6814788Z     ):
2021-11-07T02:05:25.6815459Z         dtype = np.dtype(any_numpy_dtype_reduced)
2021-11-07T02:05:25.6816200Z         fill_dtype = DatetimeTZDtype(tz=tz_aware_fixture)
2021-11-07T02:05:25.6816845Z     
2021-11-07T02:05:25.6817525Z >       fill_value = pd.Series([fill_value], dtype=fill_dtype)[0]
2021-11-07T02:05:25.6818119Z 
2021-11-07T02:05:25.6818789Z pandas\tests\dtypes\cast\test_promote.py:435: 
2021-11-07T02:05:25.6819573Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:25.6820332Z pandas\core\series.py:440: in __init__
2021-11-07T02:05:25.6821060Z     data = sanitize_array(data, index, dtype, copy)
2021-11-07T02:05:25.6821782Z pandas\core\construction.py:575: in sanitize_array
2021-11-07T02:05:25.6822589Z     subarr = _try_cast(data, dtype, copy, raise_cast_failure)
2021-11-07T02:05:25.6823337Z pandas\core\construction.py:734: in _try_cast
2021-11-07T02:05:25.6824037Z     return maybe_cast_to_datetime(arr, dtype)
2021-11-07T02:05:25.6824782Z pandas\core\dtypes\cast.py:1675: in maybe_cast_to_datetime
2021-11-07T02:05:25.6825494Z     value = dta.tz_localize(dtype.tz)
2021-11-07T02:05:25.6826204Z pandas\core\arrays\_mixins.py:74: in method
2021-11-07T02:05:25.6826912Z     return meth(self, *args, **kwargs)
2021-11-07T02:05:25.6827628Z pandas\core\arrays\datetimes.py:1045: in tz_localize
2021-11-07T02:05:25.6828373Z     new_dates = tzconversion.tz_localize_to_utc(
2021-11-07T02:05:25.6829139Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:25.6829668Z 
2021-11-07T02:05:25.6830280Z >   raise pytz.AmbiguousTimeError(
2021-11-07T02:05:25.6831154Z E   pytz.exceptions.AmbiguousTimeError: Cannot infer dst time from 2021-11-07 01:55:26.738854, try using the 'ambiguous' argument
2021-11-07T02:05:25.6831832Z 
2021-11-07T02:05:25.6832552Z pandas\_libs\tslibs\tzconversion.pyx:284: AmbiguousTimeError
2021-11-07T02:05:25.6833395Z _ test_maybe_promote_any_numpy_dtype_with_datetimetz[M8[ns]-'dateutil/US/Pacific'-datetime.datetime] _
2021-11-07T02:05:25.6834240Z [gw0] win32 -- Python 3.8.12 C:\Miniconda\envs\pandas-dev\python.exe
2021-11-07T02:05:25.6834801Z 
2021-11-07T02:05:25.6835565Z any_numpy_dtype_reduced = 'M8[ns]', tz_aware_fixture = 'dateutil/US/Pacific'
2021-11-07T02:05:25.6836506Z fill_value = datetime.datetime(2021, 11, 7, 1, 55, 26, 738854)
2021-11-07T02:05:25.6837028Z 
2021-11-07T02:05:25.6837662Z     @pytest.mark.parametrize(
2021-11-07T02:05:25.6838413Z         "fill_value",
2021-11-07T02:05:25.6839024Z         [
2021-11-07T02:05:25.6839679Z             pd.Timestamp("now"),
2021-11-07T02:05:25.6840331Z             np.datetime64("now"),
2021-11-07T02:05:25.6841051Z             datetime.datetime.now(),
2021-11-07T02:05:25.6841737Z             datetime.date.today(),
2021-11-07T02:05:25.6842409Z         ],
2021-11-07T02:05:25.6843132Z         ids=["pd.Timestamp", "np.datetime64", "datetime.datetime", "datetime.date"],
2021-11-07T02:05:25.6843834Z     )
2021-11-07T02:05:25.6844512Z     def test_maybe_promote_any_numpy_dtype_with_datetimetz(
2021-11-07T02:05:25.7711328Z Test results publishing 1000, remaining: 56765. Test run id: 2915250
2021-11-07T02:05:26.1595852Z Test results publishing 1000, remaining: 55765. Test run id: 2915250
2021-11-07T02:05:26.4537300Z Test results publishing 1000, remaining: 54765. Test run id: 2915250
2021-11-07T02:05:26.4848377Z         any_numpy_dtype_reduced, tz_aware_fixture, fill_value
2021-11-07T02:05:26.4850106Z     ):
2021-11-07T02:05:26.4851132Z         dtype = np.dtype(any_numpy_dtype_reduced)
2021-11-07T02:05:26.4851913Z         fill_dtype = DatetimeTZDtype(tz=tz_aware_fixture)
2021-11-07T02:05:26.4852595Z     
2021-11-07T02:05:26.4853270Z >       fill_value = pd.Series([fill_value], dtype=fill_dtype)[0]
2021-11-07T02:05:26.4853805Z 
2021-11-07T02:05:26.4854470Z pandas\tests\dtypes\cast\test_promote.py:435: 
2021-11-07T02:05:26.4855450Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:26.4856215Z pandas\core\series.py:440: in __init__
2021-11-07T02:05:26.4856955Z     data = sanitize_array(data, index, dtype, copy)
2021-11-07T02:05:26.4857710Z pandas\core\construction.py:575: in sanitize_array
2021-11-07T02:05:26.4858511Z     subarr = _try_cast(data, dtype, copy, raise_cast_failure)
2021-11-07T02:05:26.4859283Z pandas\core\construction.py:734: in _try_cast
2021-11-07T02:05:26.4859994Z     return maybe_cast_to_datetime(arr, dtype)
2021-11-07T02:05:26.4860761Z pandas\core\dtypes\cast.py:1675: in maybe_cast_to_datetime
2021-11-07T02:05:26.4861502Z     value = dta.tz_localize(dtype.tz)
2021-11-07T02:05:26.4862196Z pandas\core\arrays\_mixins.py:74: in method
2021-11-07T02:05:26.4862909Z     return meth(self, *args, **kwargs)
2021-11-07T02:05:26.4863638Z pandas\core\arrays\datetimes.py:1045: in tz_localize
2021-11-07T02:05:26.4864376Z     new_dates = tzconversion.tz_localize_to_utc(
2021-11-07T02:05:26.4865144Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:26.4865679Z 
2021-11-07T02:05:26.4866309Z >   raise pytz.AmbiguousTimeError(
2021-11-07T02:05:26.4867164Z E   pytz.exceptions.AmbiguousTimeError: Cannot infer dst time from 2021-11-07 01:55:26.738854, try using the 'ambiguous' argument
2021-11-07T02:05:26.4867844Z 
2021-11-07T02:05:26.4868568Z pandas\_libs\tslibs\tzconversion.pyx:284: AmbiguousTimeError
2021-11-07T02:05:26.4869397Z _ test_maybe_promote_any_numpy_dtype_with_datetimetz[m8[ns]-'US/Eastern'-pd.Timestamp] _
2021-11-07T02:05:26.4870253Z [gw0] win32 -- Python 3.8.12 C:\Miniconda\envs\pandas-dev\python.exe
2021-11-07T02:05:26.4870779Z 
2021-11-07T02:05:26.4871468Z any_numpy_dtype_reduced = 'm8[ns]', tz_aware_fixture = 'US/Eastern'
2021-11-07T02:05:26.4872275Z fill_value = Timestamp('2021-11-07 01:55:26.738854')
2021-11-07T02:05:26.4872915Z 
2021-11-07T02:05:26.4873549Z     @pytest.mark.parametrize(
2021-11-07T02:05:26.4874185Z         "fill_value",
2021-11-07T02:05:26.4874812Z         [
2021-11-07T02:05:26.4876438Z             pd.Timestamp("now"),
2021-11-07T02:05:26.4877220Z             np.datetime64("now"),
2021-11-07T02:05:26.4877921Z             datetime.datetime.now(),
2021-11-07T02:05:26.4878647Z             datetime.date.today(),
2021-11-07T02:05:26.4879628Z         ],
2021-11-07T02:05:26.4880334Z         ids=["pd.Timestamp", "np.datetime64", "datetime.datetime", "datetime.date"],
2021-11-07T02:05:26.4881067Z     )
2021-11-07T02:05:26.4881750Z     def test_maybe_promote_any_numpy_dtype_with_datetimetz(
2021-11-07T02:05:26.4883416Z         any_numpy_dtype_reduced, tz_aware_fixture, fill_value
2021-11-07T02:05:26.4884119Z     ):
2021-11-07T02:05:26.4884776Z         dtype = np.dtype(any_numpy_dtype_reduced)
2021-11-07T02:05:26.4885505Z         fill_dtype = DatetimeTZDtype(tz=tz_aware_fixture)
2021-11-07T02:05:26.4886182Z     
2021-11-07T02:05:26.4886854Z >       fill_value = pd.Series([fill_value], dtype=fill_dtype)[0]
2021-11-07T02:05:26.4887385Z 
2021-11-07T02:05:26.4888078Z pandas\tests\dtypes\cast\test_promote.py:435: 
2021-11-07T02:05:26.4888962Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:26.4889746Z pandas\core\series.py:440: in __init__
2021-11-07T02:05:26.4890465Z     data = sanitize_array(data, index, dtype, copy)
2021-11-07T02:05:26.4891230Z pandas\core\construction.py:575: in sanitize_array
2021-11-07T02:05:26.4891980Z     subarr = _try_cast(data, dtype, copy, raise_cast_failure)
2021-11-07T02:05:26.4892748Z pandas\core\construction.py:734: in _try_cast
2021-11-07T02:05:26.4893596Z     return maybe_cast_to_datetime(arr, dtype)
2021-11-07T02:05:26.4894349Z pandas\core\dtypes\cast.py:1675: in maybe_cast_to_datetime
2021-11-07T02:05:26.4895091Z     value = dta.tz_localize(dtype.tz)
2021-11-07T02:05:26.4895792Z pandas\core\arrays\_mixins.py:74: in method
2021-11-07T02:05:26.4896547Z     return meth(self, *args, **kwargs)
2021-11-07T02:05:26.4897299Z pandas\core\arrays\datetimes.py:1045: in tz_localize
2021-11-07T02:05:26.4898034Z     new_dates = tzconversion.tz_localize_to_utc(
2021-11-07T02:05:26.4899208Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:26.4899759Z 
2021-11-07T02:05:26.4900402Z >   raise pytz.AmbiguousTimeError(
2021-11-07T02:05:26.4901302Z E   pytz.exceptions.AmbiguousTimeError: Cannot infer dst time from 2021-11-07 01:55:26.738854, try using the 'ambiguous' argument
2021-11-07T02:05:26.4901965Z 
2021-11-07T02:05:26.4902680Z pandas\_libs\tslibs\tzconversion.pyx:284: AmbiguousTimeError
2021-11-07T02:05:26.4903514Z _ test_maybe_promote_any_numpy_dtype_with_datetimetz[m8[ns]-'US/Eastern'-datetime.datetime] _
2021-11-07T02:05:26.4904411Z [gw0] win32 -- Python 3.8.12 C:\Miniconda\envs\pandas-dev\python.exe
2021-11-07T02:05:26.4904948Z 
2021-11-07T02:05:26.4905640Z any_numpy_dtype_reduced = 'm8[ns]', tz_aware_fixture = 'US/Eastern'
2021-11-07T02:05:26.4906417Z fill_value = datetime.datetime(2021, 11, 7, 1, 55, 26, 738854)
2021-11-07T02:05:26.4906919Z 
2021-11-07T02:05:26.4907529Z     @pytest.mark.parametrize(
2021-11-07T02:05:26.4908483Z         "fill_value",
2021-11-07T02:05:26.4909147Z         [
2021-11-07T02:05:26.4909770Z             pd.Timestamp("now"),
2021-11-07T02:05:26.4910449Z             np.datetime64("now"),
2021-11-07T02:05:26.4911127Z             datetime.datetime.now(),
2021-11-07T02:05:26.4911904Z             datetime.date.today(),
2021-11-07T02:05:26.4912571Z         ],
2021-11-07T02:05:26.4913292Z         ids=["pd.Timestamp", "np.datetime64", "datetime.datetime", "datetime.date"],
2021-11-07T02:05:26.4914021Z     )
2021-11-07T02:05:26.4914689Z     def test_maybe_promote_any_numpy_dtype_with_datetimetz(
2021-11-07T02:05:26.4915468Z         any_numpy_dtype_reduced, tz_aware_fixture, fill_value
2021-11-07T02:05:26.4916148Z     ):
2021-11-07T02:05:26.4916802Z         dtype = np.dtype(any_numpy_dtype_reduced)
2021-11-07T02:05:26.4917587Z         fill_dtype = DatetimeTZDtype(tz=tz_aware_fixture)
2021-11-07T02:05:26.4918485Z     
2021-11-07T02:05:26.4919195Z >       fill_value = pd.Series([fill_value], dtype=fill_dtype)[0]
2021-11-07T02:05:26.4919711Z 
2021-11-07T02:05:26.4920396Z pandas\tests\dtypes\cast\test_promote.py:435: 
2021-11-07T02:05:26.4921191Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:26.4922130Z pandas\core\series.py:440: in __init__
2021-11-07T02:05:26.4922861Z     data = sanitize_array(data, index, dtype, copy)
2021-11-07T02:05:26.4923727Z pandas\core\construction.py:575: in sanitize_array
2021-11-07T02:05:26.4924477Z     subarr = _try_cast(data, dtype, copy, raise_cast_failure)
2021-11-07T02:05:26.4925233Z pandas\core\construction.py:734: in _try_cast
2021-11-07T02:05:26.4925949Z     return maybe_cast_to_datetime(arr, dtype)
2021-11-07T02:05:26.4926750Z pandas\core\dtypes\cast.py:1675: in maybe_cast_to_datetime
2021-11-07T02:05:26.4927500Z     value = dta.tz_localize(dtype.tz)
2021-11-07T02:05:26.4928243Z pandas\core\arrays\_mixins.py:74: in method
2021-11-07T02:05:26.4928971Z     return meth(self, *args, **kwargs)
2021-11-07T02:05:26.4929790Z pandas\core\arrays\datetimes.py:1045: in tz_localize
2021-11-07T02:05:26.4930546Z     new_dates = tzconversion.tz_localize_to_utc(
2021-11-07T02:05:26.4931323Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:26.4931856Z 
2021-11-07T02:05:26.4932503Z >   raise pytz.AmbiguousTimeError(
2021-11-07T02:05:26.4933371Z E   pytz.exceptions.AmbiguousTimeError: Cannot infer dst time from 2021-11-07 01:55:26.738854, try using the 'ambiguous' argument
2021-11-07T02:05:26.4934044Z 
2021-11-07T02:05:26.4934726Z pandas\_libs\tslibs\tzconversion.pyx:284: AmbiguousTimeError
2021-11-07T02:05:26.4935577Z _ test_maybe_promote_any_numpy_dtype_with_datetimetz[m8[ns]-'dateutil/US/Pacific'-pd.Timestamp] _
2021-11-07T02:05:26.4936459Z [gw0] win32 -- Python 3.8.12 C:\Miniconda\envs\pandas-dev\python.exe
2021-11-07T02:05:26.4936992Z 
2021-11-07T02:05:26.4937673Z any_numpy_dtype_reduced = 'm8[ns]', tz_aware_fixture = 'dateutil/US/Pacific'
2021-11-07T02:05:26.4938511Z fill_value = Timestamp('2021-11-07 01:55:26.738854')
2021-11-07T02:05:26.4939044Z 
2021-11-07T02:05:26.4939646Z     @pytest.mark.parametrize(
2021-11-07T02:05:26.4940299Z         "fill_value",
2021-11-07T02:05:26.4940911Z         [
2021-11-07T02:05:26.4941576Z             pd.Timestamp("now"),
2021-11-07T02:05:26.4942268Z             np.datetime64("now"),
2021-11-07T02:05:26.4942934Z             datetime.datetime.now(),
2021-11-07T02:05:26.4943619Z             datetime.date.today(),
2021-11-07T02:05:26.4944268Z         ],
2021-11-07T02:05:26.4944981Z         ids=["pd.Timestamp", "np.datetime64", "datetime.datetime", "datetime.date"],
2021-11-07T02:05:26.4945698Z     )
2021-11-07T02:05:26.4946358Z     def test_maybe_promote_any_numpy_dtype_with_datetimetz(
2021-11-07T02:05:26.4947212Z         any_numpy_dtype_reduced, tz_aware_fixture, fill_value
2021-11-07T02:05:26.4947898Z     ):
2021-11-07T02:05:26.4948593Z         dtype = np.dtype(any_numpy_dtype_reduced)
2021-11-07T02:05:26.4949346Z         fill_dtype = DatetimeTZDtype(tz=tz_aware_fixture)
2021-11-07T02:05:26.4950020Z     
2021-11-07T02:05:26.4950700Z >       fill_value = pd.Series([fill_value], dtype=fill_dtype)[0]
2021-11-07T02:05:26.4951218Z 
2021-11-07T02:05:26.4951896Z pandas\tests\dtypes\cast\test_promote.py:435: 
2021-11-07T02:05:26.4952694Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:26.4953467Z pandas\core\series.py:440: in __init__
2021-11-07T02:05:26.4954195Z     data = sanitize_array(data, index, dtype, copy)
2021-11-07T02:05:26.4954923Z pandas\core\construction.py:575: in sanitize_array
2021-11-07T02:05:26.4955682Z     subarr = _try_cast(data, dtype, copy, raise_cast_failure)
2021-11-07T02:05:26.4956444Z pandas\core\construction.py:734: in _try_cast
2021-11-07T02:05:26.4957154Z     return maybe_cast_to_datetime(arr, dtype)
2021-11-07T02:05:26.4957904Z pandas\core\dtypes\cast.py:1675: in maybe_cast_to_datetime
2021-11-07T02:05:26.4958693Z     value = dta.tz_localize(dtype.tz)
2021-11-07T02:05:26.4959390Z pandas\core\arrays\_mixins.py:74: in method
2021-11-07T02:05:26.4960107Z     return meth(self, *args, **kwargs)
2021-11-07T02:05:26.4960995Z pandas\core\arrays\datetimes.py:1045: in tz_localize
2021-11-07T02:05:26.4961747Z     new_dates = tzconversion.tz_localize_to_utc(
2021-11-07T02:05:26.4962514Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:26.4963154Z 
2021-11-07T02:05:26.4963813Z >   raise pytz.AmbiguousTimeError(
2021-11-07T02:05:26.4964676Z E   pytz.exceptions.AmbiguousTimeError: Cannot infer dst time from 2021-11-07 01:55:26.738854, try using the 'ambiguous' argument
2021-11-07T02:05:26.4965437Z 
2021-11-07T02:05:26.4966123Z pandas\_libs\tslibs\tzconversion.pyx:284: AmbiguousTimeError
2021-11-07T02:05:26.4966974Z _ test_maybe_promote_any_numpy_dtype_with_datetimetz[m8[ns]-'dateutil/US/Pacific'-datetime.datetime] _
2021-11-07T02:05:26.4967844Z [gw0] win32 -- Python 3.8.12 C:\Miniconda\envs\pandas-dev\python.exe
2021-11-07T02:05:26.4968423Z 
2021-11-07T02:05:26.4969121Z any_numpy_dtype_reduced = 'm8[ns]', tz_aware_fixture = 'dateutil/US/Pacific'
2021-11-07T02:05:26.4969910Z fill_value = datetime.datetime(2021, 11, 7, 1, 55, 26, 738854)
2021-11-07T02:05:26.4970432Z 
2021-11-07T02:05:26.4971033Z     @pytest.mark.parametrize(
2021-11-07T02:05:26.4971694Z         "fill_value",
2021-11-07T02:05:26.4972300Z         [
2021-11-07T02:05:26.4972941Z             pd.Timestamp("now"),
2021-11-07T02:05:26.4973617Z             np.datetime64("now"),
2021-11-07T02:05:26.4974285Z             datetime.datetime.now(),
2021-11-07T02:05:26.4974973Z             datetime.date.today(),
2021-11-07T02:05:26.4975594Z         ],
2021-11-07T02:05:26.4997470Z         ids=["pd.Timestamp", "np.datetime64", "datetime.datetime", "datetime.date"],
2021-11-07T02:05:26.4999654Z     )
2021-11-07T02:05:26.5000356Z     def test_maybe_promote_any_numpy_dtype_with_datetimetz(
2021-11-07T02:05:26.5001145Z         any_numpy_dtype_reduced, tz_aware_fixture, fill_value
2021-11-07T02:05:26.5001824Z     ):
2021-11-07T02:05:26.5002470Z         dtype = np.dtype(any_numpy_dtype_reduced)
2021-11-07T02:05:26.5003220Z         fill_dtype = DatetimeTZDtype(tz=tz_aware_fixture)
2021-11-07T02:05:26.5003863Z     
2021-11-07T02:05:26.5004568Z >       fill_value = pd.Series([fill_value], dtype=fill_dtype)[0]
2021-11-07T02:05:26.5005222Z 
2021-11-07T02:05:26.5005915Z pandas\tests\dtypes\cast\test_promote.py:435: 
2021-11-07T02:05:26.7193836Z Test results publishing 1000, remaining: 53765. Test run id: 2915250
2021-11-07T02:05:27.0015341Z Test results publishing 1000, remaining: 52765. Test run id: 2915250
2021-11-07T02:05:27.2838911Z Test results publishing 1000, remaining: 51765. Test run id: 2915250
2021-11-07T02:05:27.3241861Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:27.3243369Z pandas\core\series.py:440: in __init__
2021-11-07T02:05:27.3244195Z     data = sanitize_array(data, index, dtype, copy)
2021-11-07T02:05:27.3244898Z pandas\core\construction.py:575: in sanitize_array
2021-11-07T02:05:27.3245650Z     subarr = _try_cast(data, dtype, copy, raise_cast_failure)
2021-11-07T02:05:27.3246405Z pandas\core\construction.py:734: in _try_cast
2021-11-07T02:05:27.3247072Z     return maybe_cast_to_datetime(arr, dtype)
2021-11-07T02:05:27.3247801Z pandas\core\dtypes\cast.py:1675: in maybe_cast_to_datetime
2021-11-07T02:05:27.3248473Z     value = dta.tz_localize(dtype.tz)
2021-11-07T02:05:27.3249188Z pandas\core\arrays\_mixins.py:74: in method
2021-11-07T02:05:27.3249943Z     return meth(self, *args, **kwargs)
2021-11-07T02:05:27.3250616Z pandas\core\arrays\datetimes.py:1045: in tz_localize
2021-11-07T02:05:27.3251353Z     new_dates = tzconversion.tz_localize_to_utc(
2021-11-07T02:05:27.3252105Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:27.3252774Z 
2021-11-07T02:05:27.3253458Z >   raise pytz.AmbiguousTimeError(
2021-11-07T02:05:27.3254374Z E   pytz.exceptions.AmbiguousTimeError: Cannot infer dst time from 2021-11-07 01:55:26.738854, try using the 'ambiguous' argument
2021-11-07T02:05:27.3255093Z 
2021-11-07T02:05:27.3256060Z pandas\_libs\tslibs\tzconversion.pyx:284: AmbiguousTimeError
2021-11-07T02:05:27.3257047Z _ test_maybe_promote_any_numpy_dtype_with_datetimetz[str-'US/Eastern'-pd.Timestamp] _
2021-11-07T02:05:27.3258016Z [gw0] win32 -- Python 3.8.12 C:\Miniconda\envs\pandas-dev\python.exe
2021-11-07T02:05:27.3258612Z 
2021-11-07T02:05:27.3259290Z any_numpy_dtype_reduced = <class 'str'>, tz_aware_fixture = 'US/Eastern'
2021-11-07T02:05:27.3260123Z fill_value = Timestamp('2021-11-07 01:55:26.738854')
2021-11-07T02:05:27.3260632Z 
2021-11-07T02:05:27.3261334Z     @pytest.mark.parametrize(
2021-11-07T02:05:27.3262026Z         "fill_value",
2021-11-07T02:05:27.3262629Z         [
2021-11-07T02:05:27.3263308Z             pd.Timestamp("now"),
2021-11-07T02:05:27.3284300Z             np.datetime64("now"),
2021-11-07T02:05:27.3285863Z             datetime.datetime.now(),
2021-11-07T02:05:27.3287004Z             datetime.date.today(),
2021-11-07T02:05:27.3287763Z         ],
2021-11-07T02:05:27.3288647Z         ids=["pd.Timestamp", "np.datetime64", "datetime.datetime", "datetime.date"],
2021-11-07T02:05:27.3289443Z     )
2021-11-07T02:05:27.3290250Z     def test_maybe_promote_any_numpy_dtype_with_datetimetz(
2021-11-07T02:05:27.3291146Z         any_numpy_dtype_reduced, tz_aware_fixture, fill_value
2021-11-07T02:05:27.3291886Z     ):
2021-11-07T02:05:27.3292723Z         dtype = np.dtype(any_numpy_dtype_reduced)
2021-11-07T02:05:27.3293529Z         fill_dtype = DatetimeTZDtype(tz=tz_aware_fixture)
2021-11-07T02:05:27.3294419Z     
2021-11-07T02:05:27.3295219Z >       fill_value = pd.Series([fill_value], dtype=fill_dtype)[0]
2021-11-07T02:05:27.3295799Z 
2021-11-07T02:05:27.3296668Z pandas\tests\dtypes\cast\test_promote.py:435: 
2021-11-07T02:05:27.3297518Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:27.3298557Z pandas\core\series.py:440: in __init__
2021-11-07T02:05:27.3299413Z     data = sanitize_array(data, index, dtype, copy)
2021-11-07T02:05:27.3300235Z pandas\core\construction.py:575: in sanitize_array
2021-11-07T02:05:27.3301108Z     subarr = _try_cast(data, dtype, copy, raise_cast_failure)
2021-11-07T02:05:27.3301919Z pandas\core\construction.py:734: in _try_cast
2021-11-07T02:05:27.3302799Z     return maybe_cast_to_datetime(arr, dtype)
2021-11-07T02:05:27.3303669Z pandas\core\dtypes\cast.py:1675: in maybe_cast_to_datetime
2021-11-07T02:05:27.3304536Z     value = dta.tz_localize(dtype.tz)
2021-11-07T02:05:27.3305367Z pandas\core\arrays\_mixins.py:74: in method
2021-11-07T02:05:27.3306133Z     return meth(self, *args, **kwargs)
2021-11-07T02:05:27.3306982Z pandas\core\arrays\datetimes.py:1045: in tz_localize
2021-11-07T02:05:27.3307844Z     new_dates = tzconversion.tz_localize_to_utc(
2021-11-07T02:05:27.3308722Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:27.3309401Z 
2021-11-07T02:05:27.3310099Z >   raise pytz.AmbiguousTimeError(
2021-11-07T02:05:27.3311084Z E   pytz.exceptions.AmbiguousTimeError: Cannot infer dst time from 2021-11-07 01:55:26.738854, try using the 'ambiguous' argument
2021-11-07T02:05:27.3311819Z 
2021-11-07T02:05:27.3312662Z pandas\_libs\tslibs\tzconversion.pyx:284: AmbiguousTimeError
2021-11-07T02:05:27.3313553Z _ test_maybe_promote_any_numpy_dtype_with_datetimetz[str-'US/Eastern'-datetime.datetime] _
2021-11-07T02:05:27.3314687Z [gw0] win32 -- Python 3.8.12 C:\Miniconda\envs\pandas-dev\python.exe
2021-11-07T02:05:27.3315298Z 
2021-11-07T02:05:27.3316112Z any_numpy_dtype_reduced = <class 'str'>, tz_aware_fixture = 'US/Eastern'
2021-11-07T02:05:27.3316960Z fill_value = datetime.datetime(2021, 11, 7, 1, 55, 26, 738854)
2021-11-07T02:05:27.3317684Z 
2021-11-07T02:05:27.3318370Z     @pytest.mark.parametrize(
2021-11-07T02:05:27.3319145Z         "fill_value",
2021-11-07T02:05:27.3320005Z         [
2021-11-07T02:05:27.3320654Z             pd.Timestamp("now"),
2021-11-07T02:05:27.3321386Z             np.datetime64("now"),
2021-11-07T02:05:27.3322356Z             datetime.datetime.now(),
2021-11-07T02:05:27.3323101Z             datetime.date.today(),
2021-11-07T02:05:27.3323736Z         ],
2021-11-07T02:05:27.3324594Z         ids=["pd.Timestamp", "np.datetime64", "datetime.datetime", "datetime.date"],
2021-11-07T02:05:27.3325838Z     )
2021-11-07T02:05:27.3326569Z     def test_maybe_promote_any_numpy_dtype_with_datetimetz(
2021-11-07T02:05:27.3327439Z         any_numpy_dtype_reduced, tz_aware_fixture, fill_value
2021-11-07T02:05:27.3328229Z     ):
2021-11-07T02:05:27.3328939Z         dtype = np.dtype(any_numpy_dtype_reduced)
2021-11-07T02:05:27.3329791Z         fill_dtype = DatetimeTZDtype(tz=tz_aware_fixture)
2021-11-07T02:05:27.3330506Z     
2021-11-07T02:05:27.3331298Z >       fill_value = pd.Series([fill_value], dtype=fill_dtype)[0]
2021-11-07T02:05:27.3331864Z 
2021-11-07T02:05:27.3332650Z pandas\tests\dtypes\cast\test_promote.py:435: 
2021-11-07T02:05:27.3333557Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:27.3334533Z pandas\core\series.py:440: in __init__
2021-11-07T02:05:27.3335399Z     data = sanitize_array(data, index, dtype, copy)
2021-11-07T02:05:27.3336353Z pandas\core\construction.py:575: in sanitize_array
2021-11-07T02:05:27.3337243Z     subarr = _try_cast(data, dtype, copy, raise_cast_failure)
2021-11-07T02:05:27.3338147Z pandas\core\construction.py:734: in _try_cast
2021-11-07T02:05:27.3339013Z     return maybe_cast_to_datetime(arr, dtype)
2021-11-07T02:05:27.3339897Z pandas\core\dtypes\cast.py:1675: in maybe_cast_to_datetime
2021-11-07T02:05:27.3340744Z     value = dta.tz_localize(dtype.tz)
2021-11-07T02:05:27.3341501Z pandas\core\arrays\_mixins.py:74: in method
2021-11-07T02:05:27.3342321Z     return meth(self, *args, **kwargs)
2021-11-07T02:05:27.3343167Z pandas\core\arrays\datetimes.py:1045: in tz_localize
2021-11-07T02:05:27.3344022Z     new_dates = tzconversion.tz_localize_to_utc(
2021-11-07T02:05:27.3344988Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:27.3345604Z 
2021-11-07T02:05:27.3346375Z >   raise pytz.AmbiguousTimeError(
2021-11-07T02:05:27.3347296Z E   pytz.exceptions.AmbiguousTimeError: Cannot infer dst time from 2021-11-07 01:55:26.738854, try using the 'ambiguous' argument
2021-11-07T02:05:27.3348104Z 
2021-11-07T02:05:27.3348845Z pandas\_libs\tslibs\tzconversion.pyx:284: AmbiguousTimeError
2021-11-07T02:05:27.3349798Z _ test_maybe_promote_any_numpy_dtype_with_datetimetz[str-'dateutil/US/Pacific'-pd.Timestamp] _
2021-11-07T02:05:27.3350759Z [gw0] win32 -- Python 3.8.12 C:\Miniconda\envs\pandas-dev\python.exe
2021-11-07T02:05:27.3351363Z 
2021-11-07T02:05:27.3352175Z any_numpy_dtype_reduced = <class 'str'>
2021-11-07T02:05:27.3352869Z tz_aware_fixture = 'dateutil/US/Pacific'
2021-11-07T02:05:27.3353656Z fill_value = Timestamp('2021-11-07 01:55:26.738854')
2021-11-07T02:05:27.3354257Z 
2021-11-07T02:05:27.3354941Z     @pytest.mark.parametrize(
2021-11-07T02:05:27.3355586Z         "fill_value",
2021-11-07T02:05:27.3356262Z         [
2021-11-07T02:05:27.3357019Z             pd.Timestamp("now"),
2021-11-07T02:05:27.3357890Z             np.datetime64("now"),
2021-11-07T02:05:27.3358763Z             datetime.datetime.now(),
2021-11-07T02:05:27.3359500Z             datetime.date.today(),
2021-11-07T02:05:27.3360252Z         ],
2021-11-07T02:05:27.3361078Z         ids=["pd.Timestamp", "np.datetime64", "datetime.datetime", "datetime.date"],
2021-11-07T02:05:27.3361837Z     )
2021-11-07T02:05:27.3362644Z     def test_maybe_promote_any_numpy_dtype_with_datetimetz(
2021-11-07T02:05:27.3363458Z         any_numpy_dtype_reduced, tz_aware_fixture, fill_value
2021-11-07T02:05:27.3364356Z     ):
2021-11-07T02:05:27.3365066Z         dtype = np.dtype(any_numpy_dtype_reduced)
2021-11-07T02:05:27.3365920Z         fill_dtype = DatetimeTZDtype(tz=tz_aware_fixture)
2021-11-07T02:05:27.3366713Z     
2021-11-07T02:05:27.3367384Z >       fill_value = pd.Series([fill_value], dtype=fill_dtype)[0]
2021-11-07T02:05:27.3370993Z 
2021-11-07T02:05:27.3371786Z pandas\tests\dtypes\cast\test_promote.py:435: 
2021-11-07T02:05:27.3372706Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:27.3373667Z pandas\core\series.py:440: in __init__
2021-11-07T02:05:27.3375373Z     data = sanitize_array(data, index, dtype, copy)
2021-11-07T02:05:27.3376235Z pandas\core\construction.py:575: in sanitize_array
2021-11-07T02:05:27.3376988Z     subarr = _try_cast(data, dtype, copy, raise_cast_failure)
2021-11-07T02:05:27.3377789Z pandas\core\construction.py:734: in _try_cast
2021-11-07T02:05:27.3378583Z     return maybe_cast_to_datetime(arr, dtype)
2021-11-07T02:05:27.3379333Z pandas\core\dtypes\cast.py:1675: in maybe_cast_to_datetime
2021-11-07T02:05:27.3380114Z     value = dta.tz_localize(dtype.tz)
2021-11-07T02:05:27.3380810Z pandas\core\arrays\_mixins.py:74: in method
2021-11-07T02:05:27.3381613Z     return meth(self, *args, **kwargs)
2021-11-07T02:05:27.3382488Z pandas\core\arrays\datetimes.py:1045: in tz_localize
2021-11-07T02:05:27.3383224Z     new_dates = tzconversion.tz_localize_to_utc(
2021-11-07T02:05:27.3384090Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:27.3384632Z 
2021-11-07T02:05:27.3385313Z >   raise pytz.AmbiguousTimeError(
2021-11-07T02:05:27.3386171Z E   pytz.exceptions.AmbiguousTimeError: Cannot infer dst time from 2021-11-07 01:55:26.738854, try using the 'ambiguous' argument
2021-11-07T02:05:27.3386887Z 
2021-11-07T02:05:27.3387560Z pandas\_libs\tslibs\tzconversion.pyx:284: AmbiguousTimeError
2021-11-07T02:05:27.3388453Z _ test_maybe_promote_any_numpy_dtype_with_datetimetz[str-'dateutil/US/Pacific'-datetime.datetime] _
2021-11-07T02:05:27.3389365Z [gw0] win32 -- Python 3.8.12 C:\Miniconda\envs\pandas-dev\python.exe
2021-11-07T02:05:27.3389898Z 
2021-11-07T02:05:27.3390616Z any_numpy_dtype_reduced = <class 'str'>
2021-11-07T02:05:27.3391319Z tz_aware_fixture = 'dateutil/US/Pacific'
2021-11-07T02:05:27.3392143Z fill_value = datetime.datetime(2021, 11, 7, 1, 55, 26, 738854)
2021-11-07T02:05:27.3392643Z 
2021-11-07T02:05:27.3393318Z     @pytest.mark.parametrize(
2021-11-07T02:05:27.3394059Z         "fill_value",
2021-11-07T02:05:27.3394677Z         [
2021-11-07T02:05:27.3395370Z             pd.Timestamp("now"),
2021-11-07T02:05:27.3396034Z             np.datetime64("now"),
2021-11-07T02:05:27.3396758Z             datetime.datetime.now(),
2021-11-07T02:05:27.3397419Z             datetime.date.today(),
2021-11-07T02:05:27.3398209Z         ],
2021-11-07T02:05:27.3398919Z         ids=["pd.Timestamp", "np.datetime64", "datetime.datetime", "datetime.date"],
2021-11-07T02:05:27.3399564Z     )
2021-11-07T02:05:27.3400298Z     def test_maybe_promote_any_numpy_dtype_with_datetimetz(
2021-11-07T02:05:27.3401064Z         any_numpy_dtype_reduced, tz_aware_fixture, fill_value
2021-11-07T02:05:27.3401682Z     ):
2021-11-07T02:05:27.3402334Z         dtype = np.dtype(any_numpy_dtype_reduced)
2021-11-07T02:05:27.3403006Z         fill_dtype = DatetimeTZDtype(tz=tz_aware_fixture)
2021-11-07T02:05:27.3403887Z     
2021-11-07T02:05:27.3404619Z >       fill_value = pd.Series([fill_value], dtype=fill_dtype)[0]
2021-11-07T02:05:27.3405127Z 
2021-11-07T02:05:27.3405784Z pandas\tests\dtypes\cast\test_promote.py:435: 
2021-11-07T02:05:27.3406680Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:27.3407498Z pandas\core\series.py:440: in __init__
2021-11-07T02:05:27.3408236Z     data = sanitize_array(data, index, dtype, copy)
2021-11-07T02:05:27.3409066Z pandas\core\construction.py:575: in sanitize_array
2021-11-07T02:05:27.3409888Z     subarr = _try_cast(data, dtype, copy, raise_cast_failure)
2021-11-07T02:05:27.5529941Z Test results publishing 1000, remaining: 50765. Test run id: 2915250
2021-11-07T02:05:27.8387070Z Test results publishing 1000, remaining: 49765. Test run id: 2915250
2021-11-07T02:05:28.1458291Z Test results publishing 1000, remaining: 48765. Test run id: 2915250
2021-11-07T02:05:28.1722518Z pandas\core\construction.py:734: in _try_cast
2021-11-07T02:05:28.1724203Z     return maybe_cast_to_datetime(arr, dtype)
2021-11-07T02:05:28.1725619Z pandas\core\dtypes\cast.py:1675: in maybe_cast_to_datetime
2021-11-07T02:05:28.1726916Z     value = dta.tz_localize(dtype.tz)
2021-11-07T02:05:28.1727766Z pandas\core\arrays\_mixins.py:74: in method
2021-11-07T02:05:28.1728524Z     return meth(self, *args, **kwargs)
2021-11-07T02:05:28.1729317Z pandas\core\arrays\datetimes.py:1045: in tz_localize
2021-11-07T02:05:28.1730180Z     new_dates = tzconversion.tz_localize_to_utc(
2021-11-07T02:05:28.1731001Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:28.1731558Z 
2021-11-07T02:05:28.1732254Z >   raise pytz.AmbiguousTimeError(
2021-11-07T02:05:28.1733181Z E   pytz.exceptions.AmbiguousTimeError: Cannot infer dst time from 2021-11-07 01:55:26.738854, try using the 'ambiguous' argument
2021-11-07T02:05:28.1733852Z 
2021-11-07T02:05:28.1734596Z pandas\_libs\tslibs\tzconversion.pyx:284: AmbiguousTimeError
2021-11-07T02:05:28.1736561Z _ test_maybe_promote_any_numpy_dtype_with_datetimetz[bytes-'US/Eastern'-pd.Timestamp] _
2021-11-07T02:05:28.1737504Z [gw0] win32 -- Python 3.8.12 C:\Miniconda\envs\pandas-dev\python.exe
2021-11-07T02:05:28.1738033Z 
2021-11-07T02:05:28.1738778Z any_numpy_dtype_reduced = <class 'bytes'>, tz_aware_fixture = 'US/Eastern'
2021-11-07T02:05:28.1739661Z fill_value = Timestamp('2021-11-07 01:55:26.738854')
2021-11-07T02:05:28.1740182Z 
2021-11-07T02:05:28.1740789Z     @pytest.mark.parametrize(
2021-11-07T02:05:28.1741492Z         "fill_value",
2021-11-07T02:05:28.1742157Z         [
2021-11-07T02:05:28.1742781Z             pd.Timestamp("now"),
2021-11-07T02:05:28.1743493Z             np.datetime64("now"),
2021-11-07T02:05:28.1744159Z             datetime.datetime.now(),
2021-11-07T02:05:28.1744880Z             datetime.date.today(),
2021-11-07T02:05:28.1745627Z         ],
2021-11-07T02:05:28.1746341Z         ids=["pd.Timestamp", "np.datetime64", "datetime.datetime", "datetime.date"],
2021-11-07T02:05:28.1747162Z     )
2021-11-07T02:05:28.1747777Z     def test_maybe_promote_any_numpy_dtype_with_datetimetz(
2021-11-07T02:05:28.1748565Z         any_numpy_dtype_reduced, tz_aware_fixture, fill_value
2021-11-07T02:05:28.1749272Z     ):
2021-11-07T02:05:28.1749883Z         dtype = np.dtype(any_numpy_dtype_reduced)
2021-11-07T02:05:28.1750649Z         fill_dtype = DatetimeTZDtype(tz=tz_aware_fixture)
2021-11-07T02:05:28.1751310Z     
2021-11-07T02:05:28.1751937Z >       fill_value = pd.Series([fill_value], dtype=fill_dtype)[0]
2021-11-07T02:05:28.1752477Z 
2021-11-07T02:05:28.1753090Z pandas\tests\dtypes\cast\test_promote.py:435: 
2021-11-07T02:05:28.1753874Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:28.1754586Z pandas\core\series.py:440: in __init__
2021-11-07T02:05:28.1755345Z     data = sanitize_array(data, index, dtype, copy)
2021-11-07T02:05:28.1756092Z pandas\core\construction.py:575: in sanitize_array
2021-11-07T02:05:28.1756783Z     subarr = _try_cast(data, dtype, copy, raise_cast_failure)
2021-11-07T02:05:28.1757513Z pandas\core\construction.py:734: in _try_cast
2021-11-07T02:05:28.1758243Z     return maybe_cast_to_datetime(arr, dtype)
2021-11-07T02:05:28.1759005Z pandas\core\dtypes\cast.py:1675: in maybe_cast_to_datetime
2021-11-07T02:05:28.1759729Z     value = dta.tz_localize(dtype.tz)
2021-11-07T02:05:28.1760379Z pandas\core\arrays\_mixins.py:74: in method
2021-11-07T02:05:28.1761085Z     return meth(self, *args, **kwargs)
2021-11-07T02:05:28.1761803Z pandas\core\arrays\datetimes.py:1045: in tz_localize
2021-11-07T02:05:28.1762487Z     new_dates = tzconversion.tz_localize_to_utc(
2021-11-07T02:05:28.1763241Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:28.1763736Z 
2021-11-07T02:05:28.1764364Z >   raise pytz.AmbiguousTimeError(
2021-11-07T02:05:28.1765572Z E   pytz.exceptions.AmbiguousTimeError: Cannot infer dst time from 2021-11-07 01:55:26.738854, try using the 'ambiguous' argument
2021-11-07T02:05:28.1766550Z 
2021-11-07T02:05:28.1770447Z pandas\_libs\tslibs\tzconversion.pyx:284: AmbiguousTimeError
2021-11-07T02:05:28.1771630Z _ test_maybe_promote_any_numpy_dtype_with_datetimetz[bytes-'US/Eastern'-datetime.datetime] _
2021-11-07T02:05:28.1772601Z [gw0] win32 -- Python 3.8.12 C:\Miniconda\envs\pandas-dev\python.exe
2021-11-07T02:05:28.1773146Z 
2021-11-07T02:05:28.1773896Z any_numpy_dtype_reduced = <class 'bytes'>, tz_aware_fixture = 'US/Eastern'
2021-11-07T02:05:28.1774719Z fill_value = datetime.datetime(2021, 11, 7, 1, 55, 26, 738854)
2021-11-07T02:05:28.1775482Z 
2021-11-07T02:05:28.1776187Z     @pytest.mark.parametrize(
2021-11-07T02:05:28.1776892Z         "fill_value",
2021-11-07T02:05:28.1777505Z         [
2021-11-07T02:05:28.1778190Z             pd.Timestamp("now"),
2021-11-07T02:05:28.1778849Z             np.datetime64("now"),
2021-11-07T02:05:28.1779591Z             datetime.datetime.now(),
2021-11-07T02:05:28.1780313Z             datetime.date.today(),
2021-11-07T02:05:28.1780935Z         ],
2021-11-07T02:05:28.1781731Z         ids=["pd.Timestamp", "np.datetime64", "datetime.datetime", "datetime.date"],
2021-11-07T02:05:28.1782439Z     )
2021-11-07T02:05:28.1783155Z     def test_maybe_promote_any_numpy_dtype_with_datetimetz(
2021-11-07T02:05:28.1783973Z         any_numpy_dtype_reduced, tz_aware_fixture, fill_value
2021-11-07T02:05:28.1784635Z     ):
2021-11-07T02:05:28.1785389Z         dtype = np.dtype(any_numpy_dtype_reduced)
2021-11-07T02:05:28.1786136Z         fill_dtype = DatetimeTZDtype(tz=tz_aware_fixture)
2021-11-07T02:05:28.1786858Z     
2021-11-07T02:05:28.1787589Z >       fill_value = pd.Series([fill_value], dtype=fill_dtype)[0]
2021-11-07T02:05:28.1788102Z 
2021-11-07T02:05:28.1788821Z pandas\tests\dtypes\cast\test_promote.py:435: 
2021-11-07T02:05:28.1789679Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:28.1790507Z pandas\core\series.py:440: in __init__
2021-11-07T02:05:28.1791223Z     data = sanitize_array(data, index, dtype, copy)
2021-11-07T02:05:28.1792050Z pandas\core\construction.py:575: in sanitize_array
2021-11-07T02:05:28.1792880Z     subarr = _try_cast(data, dtype, copy, raise_cast_failure)
2021-11-07T02:05:28.1793624Z pandas\core\construction.py:734: in _try_cast
2021-11-07T02:05:28.1794399Z     return maybe_cast_to_datetime(arr, dtype)
2021-11-07T02:05:28.1795301Z pandas\core\dtypes\cast.py:1675: in maybe_cast_to_datetime
2021-11-07T02:05:28.1796036Z     value = dta.tz_localize(dtype.tz)
2021-11-07T02:05:28.1796924Z pandas\core\arrays\_mixins.py:74: in method
2021-11-07T02:05:28.1797651Z     return meth(self, *args, **kwargs)
2021-11-07T02:05:28.1798446Z pandas\core\arrays\datetimes.py:1045: in tz_localize
2021-11-07T02:05:28.1799187Z     new_dates = tzconversion.tz_localize_to_utc(
2021-11-07T02:05:28.1800007Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:28.1800635Z 
2021-11-07T02:05:28.1801258Z >   raise pytz.AmbiguousTimeError(
2021-11-07T02:05:28.1802189Z E   pytz.exceptions.AmbiguousTimeError: Cannot infer dst time from 2021-11-07 01:55:26.738854, try using the 'ambiguous' argument
2021-11-07T02:05:28.1802854Z 
2021-11-07T02:05:28.1803598Z pandas\_libs\tslibs\tzconversion.pyx:284: AmbiguousTimeError
2021-11-07T02:05:28.1804428Z _ test_maybe_promote_any_numpy_dtype_with_datetimetz[bytes-'dateutil/US/Pacific'-pd.Timestamp] _
2021-11-07T02:05:28.1805389Z [gw0] win32 -- Python 3.8.12 C:\Miniconda\envs\pandas-dev\python.exe
2021-11-07T02:05:28.1805920Z 
2021-11-07T02:05:28.1806612Z any_numpy_dtype_reduced = <class 'bytes'>
2021-11-07T02:05:28.1807430Z tz_aware_fixture = 'dateutil/US/Pacific'
2021-11-07T02:05:28.1808154Z fill_value = Timestamp('2021-11-07 01:55:26.738854')
2021-11-07T02:05:28.1808721Z 
2021-11-07T02:05:28.1809445Z     @pytest.mark.parametrize(
2021-11-07T02:05:28.1811224Z         "fill_value",
2021-11-07T02:05:28.1811843Z         [
2021-11-07T02:05:28.1812558Z             pd.Timestamp("now"),
2021-11-07T02:05:28.1813217Z             np.datetime64("now"),
2021-11-07T02:05:28.1814087Z             datetime.datetime.now(),
2021-11-07T02:05:28.1814821Z             datetime.date.today(),
2021-11-07T02:05:28.1815733Z         ],
2021-11-07T02:05:28.1816511Z         ids=["pd.Timestamp", "np.datetime64", "datetime.datetime", "datetime.date"],
2021-11-07T02:05:28.1817204Z     )
2021-11-07T02:05:28.1817936Z     def test_maybe_promote_any_numpy_dtype_with_datetimetz(
2021-11-07T02:05:28.1818747Z         any_numpy_dtype_reduced, tz_aware_fixture, fill_value
2021-11-07T02:05:28.1819414Z     ):
2021-11-07T02:05:28.1820120Z         dtype = np.dtype(any_numpy_dtype_reduced)
2021-11-07T02:05:28.1820908Z         fill_dtype = DatetimeTZDtype(tz=tz_aware_fixture)
2021-11-07T02:05:28.1821585Z     
2021-11-07T02:05:28.1822272Z >       fill_value = pd.Series([fill_value], dtype=fill_dtype)[0]
2021-11-07T02:05:28.1822802Z 
2021-11-07T02:05:28.1823649Z pandas\tests\dtypes\cast\test_promote.py:435: 
2021-11-07T02:05:28.1824425Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:28.1825231Z pandas\core\series.py:440: in __init__
2021-11-07T02:05:28.1826077Z     data = sanitize_array(data, index, dtype, copy)
2021-11-07T02:05:28.1826770Z pandas\core\construction.py:575: in sanitize_array
2021-11-07T02:05:28.1827605Z     subarr = _try_cast(data, dtype, copy, raise_cast_failure)
2021-11-07T02:05:28.1828535Z pandas\core\construction.py:734: in _try_cast
2021-11-07T02:05:28.1829284Z     return maybe_cast_to_datetime(arr, dtype)
2021-11-07T02:05:28.1830148Z pandas\core\dtypes\cast.py:1675: in maybe_cast_to_datetime
2021-11-07T02:05:28.1830936Z     value = dta.tz_localize(dtype.tz)
2021-11-07T02:05:28.1831638Z pandas\core\arrays\_mixins.py:74: in method
2021-11-07T02:05:28.1832424Z     return meth(self, *args, **kwargs)
2021-11-07T02:05:28.1833149Z pandas\core\arrays\datetimes.py:1045: in tz_localize
2021-11-07T02:05:28.1833943Z     new_dates = tzconversion.tz_localize_to_utc(
2021-11-07T02:05:28.1834772Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:28.1835354Z 
2021-11-07T02:05:28.1836036Z >   raise pytz.AmbiguousTimeError(
2021-11-07T02:05:28.1836895Z E   pytz.exceptions.AmbiguousTimeError: Cannot infer dst time from 2021-11-07 01:55:26.738854, try using the 'ambiguous' argument
2021-11-07T02:05:28.1837605Z 
2021-11-07T02:05:28.1838275Z pandas\_libs\tslibs\tzconversion.pyx:284: AmbiguousTimeError
2021-11-07T02:05:28.1839165Z _ test_maybe_promote_any_numpy_dtype_with_datetimetz[bytes-'dateutil/US/Pacific'-datetime.datetime] _
2021-11-07T02:05:28.1840014Z [gw0] win32 -- Python 3.8.12 C:\Miniconda\envs\pandas-dev\python.exe
2021-11-07T02:05:28.1840610Z 
2021-11-07T02:05:28.1841233Z any_numpy_dtype_reduced = <class 'bytes'>
2021-11-07T02:05:28.1841977Z tz_aware_fixture = 'dateutil/US/Pacific'
2021-11-07T02:05:28.1842781Z fill_value = datetime.datetime(2021, 11, 7, 1, 55, 26, 738854)
2021-11-07T02:05:28.1843284Z 
2021-11-07T02:05:28.1843943Z     @pytest.mark.parametrize(
2021-11-07T02:05:28.1844615Z         "fill_value",
2021-11-07T02:05:28.1845350Z         [
2021-11-07T02:05:28.1846047Z             pd.Timestamp("now"),
2021-11-07T02:05:28.1846767Z             np.datetime64("now"),
2021-11-07T02:05:28.1847432Z             datetime.datetime.now(),
2021-11-07T02:05:28.1848151Z             datetime.date.today(),
2021-11-07T02:05:28.1848875Z         ],
2021-11-07T02:05:28.1849589Z         ids=["pd.Timestamp", "np.datetime64", "datetime.datetime", "datetime.date"],
2021-11-07T02:05:28.1850363Z     )
2021-11-07T02:05:28.1851014Z     def test_maybe_promote_any_numpy_dtype_with_datetimetz(
2021-11-07T02:05:28.1851853Z         any_numpy_dtype_reduced, tz_aware_fixture, fill_value
2021-11-07T02:05:28.1852577Z     ):
2021-11-07T02:05:28.1853219Z         dtype = np.dtype(any_numpy_dtype_reduced)
2021-11-07T02:05:28.1854178Z         fill_dtype = DatetimeTZDtype(tz=tz_aware_fixture)
2021-11-07T02:05:28.1854891Z     
2021-11-07T02:05:28.1855613Z >       fill_value = pd.Series([fill_value], dtype=fill_dtype)[0]
2021-11-07T02:05:28.1856304Z 
2021-11-07T02:05:28.1856960Z pandas\tests\dtypes\cast\test_promote.py:435: 
2021-11-07T02:05:28.1857807Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:28.1858575Z pandas\core\series.py:440: in __init__
2021-11-07T02:05:28.1859347Z     data = sanitize_array(data, index, dtype, copy)
2021-11-07T02:05:28.1860142Z pandas\core\construction.py:575: in sanitize_array
2021-11-07T02:05:28.1860895Z     subarr = _try_cast(data, dtype, copy, raise_cast_failure)
2021-11-07T02:05:28.1861728Z pandas\core\construction.py:734: in _try_cast
2021-11-07T02:05:28.1862445Z     return maybe_cast_to_datetime(arr, dtype)
2021-11-07T02:05:28.1863305Z pandas\core\dtypes\cast.py:1675: in maybe_cast_to_datetime
2021-11-07T02:05:28.1864093Z     value = dta.tz_localize(dtype.tz)
2021-11-07T02:05:28.1864870Z pandas\core\arrays\_mixins.py:74: in method
2021-11-07T02:05:28.1865633Z     return meth(self, *args, **kwargs)
2021-11-07T02:05:28.4593585Z Test results publishing 1000, remaining: 47765. Test run id: 2915250
2021-11-07T02:05:28.7484822Z Test results publishing 1000, remaining: 46765. Test run id: 2915250
2021-11-07T02:05:28.8062993Z pandas\core\arrays\datetimes.py:1045: in tz_localize
2021-11-07T02:05:28.8064610Z     new_dates = tzconversion.tz_localize_to_utc(
2021-11-07T02:05:28.8065504Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:28.8068565Z 
2021-11-07T02:05:28.8069273Z >   raise pytz.AmbiguousTimeError(
2021-11-07T02:05:28.8070310Z E   pytz.exceptions.AmbiguousTimeError: Cannot infer dst time from 2021-11-07 01:55:26.738854, try using the 'ambiguous' argument
2021-11-07T02:05:28.8070967Z 
2021-11-07T02:05:28.8071726Z pandas\_libs\tslibs\tzconversion.pyx:284: AmbiguousTimeError
2021-11-07T02:05:28.8072619Z _ test_maybe_promote_any_numpy_dtype_with_datetimetz[object-'US/Eastern'-pd.Timestamp] _
2021-11-07T02:05:28.8073452Z [gw0] win32 -- Python 3.8.12 C:\Miniconda\envs\pandas-dev\python.exe
2021-11-07T02:05:28.8074052Z 
2021-11-07T02:05:28.8074736Z any_numpy_dtype_reduced = <class 'object'>, tz_aware_fixture = 'US/Eastern'
2021-11-07T02:05:28.8075659Z fill_value = Timestamp('2021-11-07 01:55:26.738854')
2021-11-07T02:05:28.8076173Z 
2021-11-07T02:05:28.8076842Z     @pytest.mark.parametrize(
2021-11-07T02:05:28.8077484Z         "fill_value",
2021-11-07T02:05:28.8078150Z         [
2021-11-07T02:05:28.8078830Z             pd.Timestamp("now"),
2021-11-07T02:05:28.8079532Z             np.datetime64("now"),
2021-11-07T02:05:28.8080300Z             datetime.datetime.now(),
2021-11-07T02:05:28.8080964Z             datetime.date.today(),
2021-11-07T02:05:28.8081765Z         ],
2021-11-07T02:05:28.8082533Z         ids=["pd.Timestamp", "np.datetime64", "datetime.datetime", "datetime.date"],
2021-11-07T02:05:28.8083247Z     )
2021-11-07T02:05:28.8083963Z     def test_maybe_promote_any_numpy_dtype_with_datetimetz(
2021-11-07T02:05:28.8084714Z         any_numpy_dtype_reduced, tz_aware_fixture, fill_value
2021-11-07T02:05:28.8085491Z     ):
2021-11-07T02:05:28.8086205Z         dtype = np.dtype(any_numpy_dtype_reduced)
2021-11-07T02:05:28.8086933Z         fill_dtype = DatetimeTZDtype(tz=tz_aware_fixture)
2021-11-07T02:05:28.8087641Z     
2021-11-07T02:05:28.8088304Z >       fill_value = pd.Series([fill_value], dtype=fill_dtype)[0]
2021-11-07T02:05:28.8088909Z 
2021-11-07T02:05:28.8089582Z pandas\tests\dtypes\cast\test_promote.py:435: 
2021-11-07T02:05:28.8090512Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:28.8091278Z pandas\core\series.py:440: in __init__
2021-11-07T02:05:28.8092050Z     data = sanitize_array(data, index, dtype, copy)
2021-11-07T02:05:28.8092839Z pandas\core\construction.py:575: in sanitize_array
2021-11-07T02:05:28.8093907Z     subarr = _try_cast(data, dtype, copy, raise_cast_failure)
2021-11-07T02:05:28.8094720Z pandas\core\construction.py:734: in _try_cast
2021-11-07T02:05:28.8095689Z     return maybe_cast_to_datetime(arr, dtype)
2021-11-07T02:05:28.8096497Z pandas\core\dtypes\cast.py:1675: in maybe_cast_to_datetime
2021-11-07T02:05:28.8097286Z     value = dta.tz_localize(dtype.tz)
2021-11-07T02:05:28.8097981Z pandas\core\arrays\_mixins.py:74: in method
2021-11-07T02:05:28.8098748Z     return meth(self, *args, **kwargs)
2021-11-07T02:05:28.8099559Z pandas\core\arrays\datetimes.py:1045: in tz_localize
2021-11-07T02:05:28.8100389Z     new_dates = tzconversion.tz_localize_to_utc(
2021-11-07T02:05:28.8101204Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:28.8101744Z 
2021-11-07T02:05:28.8102419Z >   raise pytz.AmbiguousTimeError(
2021-11-07T02:05:28.8103279Z E   pytz.exceptions.AmbiguousTimeError: Cannot infer dst time from 2021-11-07 01:55:26.738854, try using the 'ambiguous' argument
2021-11-07T02:05:28.8104000Z 
2021-11-07T02:05:28.8104680Z pandas\_libs\tslibs\tzconversion.pyx:284: AmbiguousTimeError
2021-11-07T02:05:28.8106805Z _ test_maybe_promote_any_numpy_dtype_with_datetimetz[object-'US/Eastern'-datetime.datetime] _
2021-11-07T02:05:28.8107856Z [gw0] win32 -- Python 3.8.12 C:\Miniconda\envs\pandas-dev\python.exe
2021-11-07T02:05:28.8108416Z 
2021-11-07T02:05:28.8109172Z any_numpy_dtype_reduced = <class 'object'>, tz_aware_fixture = 'US/Eastern'
2021-11-07T02:05:28.8109959Z fill_value = datetime.datetime(2021, 11, 7, 1, 55, 26, 738854)
2021-11-07T02:05:28.8110526Z 
2021-11-07T02:05:28.8111132Z     @pytest.mark.parametrize(
2021-11-07T02:05:28.8111881Z         "fill_value",
2021-11-07T02:05:28.8112481Z         [
2021-11-07T02:05:28.8113163Z             pd.Timestamp("now"),
2021-11-07T02:05:28.8113917Z             np.datetime64("now"),
2021-11-07T02:05:28.8114598Z             datetime.datetime.now(),
2021-11-07T02:05:28.8115387Z             datetime.date.today(),
2021-11-07T02:05:28.8116070Z         ],
2021-11-07T02:05:28.8116778Z         ids=["pd.Timestamp", "np.datetime64", "datetime.datetime", "datetime.date"],
2021-11-07T02:05:28.8117537Z     )
2021-11-07T02:05:28.8118190Z     def test_maybe_promote_any_numpy_dtype_with_datetimetz(
2021-11-07T02:05:28.8118998Z         any_numpy_dtype_reduced, tz_aware_fixture, fill_value
2021-11-07T02:05:28.8119803Z     ):
2021-11-07T02:05:28.8120456Z         dtype = np.dtype(any_numpy_dtype_reduced)
2021-11-07T02:05:28.8121268Z         fill_dtype = DatetimeTZDtype(tz=tz_aware_fixture)
2021-11-07T02:05:28.8121921Z     
2021-11-07T02:05:28.8122648Z >       fill_value = pd.Series([fill_value], dtype=fill_dtype)[0]
2021-11-07T02:05:28.8123153Z 
2021-11-07T02:05:28.8123866Z pandas\tests\dtypes\cast\test_promote.py:435: 
2021-11-07T02:05:28.8124700Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:28.8125583Z pandas\core\series.py:440: in __init__
2021-11-07T02:05:28.8126288Z     data = sanitize_array(data, index, dtype, copy)
2021-11-07T02:05:28.8126964Z pandas\core\construction.py:575: in sanitize_array
2021-11-07T02:05:28.8127928Z     subarr = _try_cast(data, dtype, copy, raise_cast_failure)
2021-11-07T02:05:28.8128714Z pandas\core\construction.py:734: in _try_cast
2021-11-07T02:05:28.8129439Z     return maybe_cast_to_datetime(arr, dtype)
2021-11-07T02:05:28.8130227Z pandas\core\dtypes\cast.py:1675: in maybe_cast_to_datetime
2021-11-07T02:05:28.8131035Z     value = dta.tz_localize(dtype.tz)
2021-11-07T02:05:28.8131801Z pandas\core\arrays\_mixins.py:74: in method
2021-11-07T02:05:28.8132561Z     return meth(self, *args, **kwargs)
2021-11-07T02:05:28.8133276Z pandas\core\arrays\datetimes.py:1045: in tz_localize
2021-11-07T02:05:28.8134068Z     new_dates = tzconversion.tz_localize_to_utc(
2021-11-07T02:05:28.8134890Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:28.8135647Z 
2021-11-07T02:05:28.8136420Z >   raise pytz.AmbiguousTimeError(
2021-11-07T02:05:28.8137307Z E   pytz.exceptions.AmbiguousTimeError: Cannot infer dst time from 2021-11-07 01:55:26.738854, try using the 'ambiguous' argument
2021-11-07T02:05:28.8138146Z 
2021-11-07T02:05:28.8138968Z pandas\_libs\tslibs\tzconversion.pyx:284: AmbiguousTimeError
2021-11-07T02:05:28.8139800Z _ test_maybe_promote_any_numpy_dtype_with_datetimetz[object-'dateutil/US/Pacific'-pd.Timestamp] _
2021-11-07T02:05:28.8140728Z [gw0] win32 -- Python 3.8.12 C:\Miniconda\envs\pandas-dev\python.exe
2021-11-07T02:05:28.8141256Z 
2021-11-07T02:05:28.8141942Z any_numpy_dtype_reduced = <class 'object'>
2021-11-07T02:05:28.8143402Z tz_aware_fixture = 'dateutil/US/Pacific'
2021-11-07T02:05:28.8144238Z fill_value = Timestamp('2021-11-07 01:55:26.738854')
2021-11-07T02:05:28.8144770Z 
2021-11-07T02:05:28.8145509Z     @pytest.mark.parametrize(
2021-11-07T02:05:28.8146203Z         "fill_value",
2021-11-07T02:05:28.8146825Z         [
2021-11-07T02:05:28.8147514Z             pd.Timestamp("now"),
2021-11-07T02:05:28.8148169Z             np.datetime64("now"),
2021-11-07T02:05:28.8148889Z             datetime.datetime.now(),
2021-11-07T02:05:28.8149613Z             datetime.date.today(),
2021-11-07T02:05:28.8150237Z         ],
2021-11-07T02:05:28.8151047Z         ids=["pd.Timestamp", "np.datetime64", "datetime.datetime", "datetime.date"],
2021-11-07T02:05:28.8151751Z     )
2021-11-07T02:05:28.8152471Z     def test_maybe_promote_any_numpy_dtype_with_datetimetz(
2021-11-07T02:05:28.8153304Z         any_numpy_dtype_reduced, tz_aware_fixture, fill_value
2021-11-07T02:05:28.8153974Z     ):
2021-11-07T02:05:28.8154680Z         dtype = np.dtype(any_numpy_dtype_reduced)
2021-11-07T02:05:28.8155459Z         fill_dtype = DatetimeTZDtype(tz=tz_aware_fixture)
2021-11-07T02:05:28.8156172Z     
2021-11-07T02:05:28.8156896Z >       fill_value = pd.Series([fill_value], dtype=fill_dtype)[0]
2021-11-07T02:05:28.8157486Z 
2021-11-07T02:05:28.8158208Z pandas\tests\dtypes\cast\test_promote.py:435: 
2021-11-07T02:05:28.8158992Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:28.8159807Z pandas\core\series.py:440: in __init__
2021-11-07T02:05:28.8160560Z     data = sanitize_array(data, index, dtype, copy)
2021-11-07T02:05:28.8161395Z pandas\core\construction.py:575: in sanitize_array
2021-11-07T02:05:28.8162198Z     subarr = _try_cast(data, dtype, copy, raise_cast_failure)
2021-11-07T02:05:28.8162936Z pandas\core\construction.py:734: in _try_cast
2021-11-07T02:05:28.8163707Z     return maybe_cast_to_datetime(arr, dtype)
2021-11-07T02:05:28.8164440Z pandas\core\dtypes\cast.py:1675: in maybe_cast_to_datetime
2021-11-07T02:05:28.8165332Z     value = dta.tz_localize(dtype.tz)
2021-11-07T02:05:28.8166173Z pandas\core\arrays\_mixins.py:74: in method
2021-11-07T02:05:28.8166821Z     return meth(self, *args, **kwargs)
2021-11-07T02:05:28.8167541Z pandas\core\arrays\datetimes.py:1045: in tz_localize
2021-11-07T02:05:28.8168224Z     new_dates = tzconversion.tz_localize_to_utc(
2021-11-07T02:05:28.8168979Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:28.8169475Z 
2021-11-07T02:05:28.8170127Z >   raise pytz.AmbiguousTimeError(
2021-11-07T02:05:28.8170978Z E   pytz.exceptions.AmbiguousTimeError: Cannot infer dst time from 2021-11-07 01:55:26.738854, try using the 'ambiguous' argument
2021-11-07T02:05:28.8171583Z 
2021-11-07T02:05:28.8172265Z pandas\_libs\tslibs\tzconversion.pyx:284: AmbiguousTimeError
2021-11-07T02:05:28.8173035Z _ test_maybe_promote_any_numpy_dtype_with_datetimetz[object-'dateutil/US/Pacific'-datetime.datetime] _
2021-11-07T02:05:28.8173872Z [gw0] win32 -- Python 3.8.12 C:\Miniconda\envs\pandas-dev\python.exe
2021-11-07T02:05:28.8174361Z 
2021-11-07T02:05:28.8175110Z any_numpy_dtype_reduced = <class 'object'>
2021-11-07T02:05:28.8175812Z tz_aware_fixture = 'dateutil/US/Pacific'
2021-11-07T02:05:28.8176651Z fill_value = datetime.datetime(2021, 11, 7, 1, 55, 26, 738854)
2021-11-07T02:05:28.8177152Z 
2021-11-07T02:05:28.8177780Z     @pytest.mark.parametrize(
2021-11-07T02:05:28.8178422Z         "fill_value",
2021-11-07T02:05:28.8179079Z         [
2021-11-07T02:05:28.8179732Z             pd.Timestamp("now"),
2021-11-07T02:05:28.8180336Z             np.datetime64("now"),
2021-11-07T02:05:28.8181004Z             datetime.datetime.now(),
2021-11-07T02:05:28.8181670Z             datetime.date.today(),
2021-11-07T02:05:28.8182271Z         ],
2021-11-07T02:05:28.8182983Z         ids=["pd.Timestamp", "np.datetime64", "datetime.datetime", "datetime.date"],
2021-11-07T02:05:28.8183688Z     )
2021-11-07T02:05:28.8184496Z     def test_maybe_promote_any_numpy_dtype_with_datetimetz(
2021-11-07T02:05:28.8185357Z         any_numpy_dtype_reduced, tz_aware_fixture, fill_value
2021-11-07T02:05:28.8186135Z     ):
2021-11-07T02:05:28.8186858Z         dtype = np.dtype(any_numpy_dtype_reduced)
2021-11-07T02:05:28.8187582Z         fill_dtype = DatetimeTZDtype(tz=tz_aware_fixture)
2021-11-07T02:05:28.8188180Z     
2021-11-07T02:05:28.8188887Z >       fill_value = pd.Series([fill_value], dtype=fill_dtype)[0]
2021-11-07T02:05:28.8189357Z 
2021-11-07T02:05:28.8190018Z pandas\tests\dtypes\cast\test_promote.py:435: 
2021-11-07T02:05:28.8190734Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:28.8191482Z pandas\core\series.py:440: in __init__
2021-11-07T02:05:28.8192390Z     data = sanitize_array(data, index, dtype, copy)
2021-11-07T02:05:28.8193310Z pandas\core\construction.py:575: in sanitize_array
2021-11-07T02:05:28.8194115Z     subarr = _try_cast(data, dtype, copy, raise_cast_failure)
2021-11-07T02:05:28.8194903Z pandas\core\construction.py:734: in _try_cast
2021-11-07T02:05:28.8195665Z     return maybe_cast_to_datetime(arr, dtype)
2021-11-07T02:05:28.8196456Z pandas\core\dtypes\cast.py:1675: in maybe_cast_to_datetime
2021-11-07T02:05:28.8197232Z     value = dta.tz_localize(dtype.tz)
2021-11-07T02:05:28.8198022Z pandas\core\arrays\_mixins.py:74: in method
2021-11-07T02:05:28.8198776Z     return meth(self, *args, **kwargs)
2021-11-07T02:05:28.8199491Z pandas\core\arrays\datetimes.py:1045: in tz_localize
2021-11-07T02:05:28.8200285Z     new_dates = tzconversion.tz_localize_to_utc(
2021-11-07T02:05:28.8201092Z _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
2021-11-07T02:05:28.8201619Z 
2021-11-07T02:05:28.8202228Z >   raise pytz.AmbiguousTimeError(
2021-11-07T02:05:28.8204121Z E   pytz.exceptions.AmbiguousTimeError: Cannot infer dst time from 2021-11-07 01:55:26.738854, try using the 'ambiguous' argument
2021-11-07T02:05:28.8204876Z 
2021-11-07T02:05:28.8205615Z pandas\_libs\tslibs\tzconversion.pyx:284: AmbiguousTimeError
2021-11-07T02:05:28.8206505Z ============================== warnings summary ===============================
2021-11-07T02:05:28.8207336Z C:\Miniconda\envs\pandas-dev\lib\site-packages\win32\lib\pywintypes.py:2
2021-11-07T02:05:28.8208192Z C:\Miniconda\envs\pandas-dev\lib\site-packages\win32\lib\pywintypes.py:2
2021-11-07T02:05:28.8209316Z   C:\Miniconda\envs\pandas-dev\lib\site-packages\win32\lib\pywintypes.py:2: DeprecationWarning: the imp module is deprecated in favour of importlib; see the module's documentation for alternative uses
2021-11-07T02:05:28.8210391Z     import imp, sys, os
2021-11-07T02:05:28.8210843Z 
2021-11-07T02:05:28.8211573Z pandas/tests/arrays/floating/test_comparison.py: 10 warnings
2021-11-07T02:05:28.8212572Z   D:\a\1\s\pandas\tests\arrays\masked_shared.py:45: RuntimeWarning: invalid value encountered in greater
2021-11-07T02:05:28.8213381Z     values = op(left._data, other)
2021-11-07T02:05:28.8213904Z 
2021-11-07T02:05:28.8214566Z pandas/tests/arrays/floating/test_comparison.py: 10 warnings
2021-11-07T02:05:28.8215751Z   D:\a\1\s\pandas\tests\arrays\masked_shared.py:45: RuntimeWarning: invalid value encountered in greater_equal
2021-11-07T02:05:28.8216751Z     values = op(left._data, other)
2021-11-07T02:05:28.8217592Z 
2021-11-07T02:05:28.8218424Z pandas/tests/arrays/floating/test_comparison.py: 10 warnings
2021-11-07T02:05:28.8219341Z   D:\a\1\s\pandas\tests\arrays\masked_shared.py:45: RuntimeWarning: invalid value encountered in less
2021-11-07T02:05:28.8220351Z     values = op(left._data, other)
2021-11-07T02:05:28.8220779Z 
2021-11-07T02:05:28.8221470Z pandas/tests/arrays/floating/test_comparison.py: 10 warnings
2021-11-07T02:05:28.8222278Z   D:\a\1\s\pandas\tests\arrays\masked_shared.py:45: RuntimeWarning: invalid value encountered in less_equal
2021-11-07T02:05:28.8223084Z     values = op(left._data, other)
2021-11-07T02:05:28.8223508Z 
2021-11-07T02:05:28.8224447Z pandas/tests/arrays/floating/test_comparison.py::TestComparisonOps::test_array[gt-Float32Dtype]
2021-11-07T02:05:28.8225457Z pandas/tests/arrays/floating/test_comparison.py::TestComparisonOps::test_array[gt-Float64Dtype]
2021-11-07T02:05:28.8226384Z   D:\a\1\s\pandas\tests\arrays\masked_shared.py:68: RuntimeWarning: invalid value encountered in greater
2021-11-07T02:05:28.8227252Z     values = op(left._data, right._data)
2021-11-07T02:05:28.8227722Z 
2021-11-07T02:05:28.8228566Z pandas/tests/arrays/floating/test_comparison.py::TestComparisonOps::test_array[ge-Float32Dtype]
2021-11-07T02:05:28.8229574Z pandas/tests/arrays/floating/test_comparison.py::TestComparisonOps::test_array[ge-Float64Dtype]
2021-11-07T02:05:28.8230492Z   D:\a\1\s\pandas\tests\arrays\masked_shared.py:68: RuntimeWarning: invalid value encountered in greater_equal
2021-11-07T02:05:28.8231401Z     values = op(left._data, right._data)
2021-11-07T02:05:28.8231864Z 
2021-11-07T02:05:28.8232547Z pandas/tests/arrays/floating/test_comparison.py::TestComparisonOps::test_array[lt-Float32Dtype]
2021-11-07T02:05:28.8233426Z pandas/tests/arrays/floating/test_comparison.py::TestComparisonOps::test_array[lt-Float64Dtype]
2021-11-07T02:05:28.8234327Z   D:\a\1\s\pandas\tests\arrays\masked_shared.py:68: RuntimeWarning: invalid value encountered in less
2021-11-07T02:05:28.8235121Z     values = op(left._data, right._data)
2021-11-07T02:05:28.8235616Z 
2021-11-07T02:05:28.8236292Z pandas/tests/arrays/floating/test_comparison.py::TestComparisonOps::test_array[le-Float32Dtype]
2021-11-07T02:05:28.8237182Z pandas/tests/arrays/floating/test_comparison.py::TestComparisonOps::test_array[le-Float64Dtype]
2021-11-07T02:05:28.8238090Z   D:\a\1\s\pandas\tests\arrays\masked_shared.py:68: RuntimeWarning: invalid value encountered in less_equal
2021-11-07T02:05:28.8238847Z     values = op(left._data, right._data)
2021-11-07T02:05:28.8239336Z 
2021-11-07T02:05:28.8240012Z pandas/tests/extension/test_floating.py::Test2DCompat::test_reductions_2d_axis_none[Float32Dtype-prod]
2021-11-07T02:05:28.8240905Z pandas/tests/extension/test_floating.py::Test2DCompat::test_reductions_2d_axis1[Float32Dtype-prod]
2021-11-07T02:05:28.8241878Z   C:\Miniconda\envs\pandas-dev\lib\site-packages\numpy\core\fromnumeric.py:90: RuntimeWarning: overflow encountered in reduce
2021-11-07T02:05:28.8242714Z     return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
2021-11-07T02:05:28.8244808Z 
2021-11-07T02:05:28.8245822Z pandas/tests/frame/methods/test_sample.py: 10 warnings
2021-11-07T02:05:28.8246743Z   D:\a\1\s\pandas\core\sample.py:67: RuntimeWarning: invalid value encountered in less
2021-11-07T02:05:28.8247536Z     if (weights < 0).any():
2021-11-07T02:05:28.8248072Z 
2021-11-07T02:05:28.8248794Z pandas/tests/groupby/aggregate/test_numba.py::test_numba_vs_cython[False-True-True-Series-False]
2021-11-07T02:05:28.8249820Z pandas/tests/groupby/aggregate/test_numba.py::test_numba_vs_cython[False-True-True-DataFrame-False]
2021-11-07T02:05:28.8250757Z pandas/tests/groupby/aggregate/test_numba.py::test_cache[False-True-True-Series-False]
2021-11-07T02:05:28.8251616Z pandas/tests/groupby/aggregate/test_numba.py::test_cache[False-True-True-Series-False]
2021-11-07T02:05:28.8252520Z pandas/tests/groupby/aggregate/test_numba.py::test_cache[False-True-True-DataFrame-False]
2021-11-07T02:05:28.8253609Z pandas/tests/groupby/aggregate/test_numba.py::test_cache[False-True-True-DataFrame-False]
2021-11-07T02:05:28.8254482Z   D:\a\1\s\pandas\core\groupby\numba_.py:114: NumbaPerformanceWarning: 
2021-11-07T02:05:28.8255644Z   The keyword argument 'parallel=True' was specified but no transformation for parallel execution was possible.
2021-11-07T02:05:28.8256446Z   
2021-11-07T02:05:28.8257406Z   To find out why, try turning on parallel diagnostics, see https://numba.pydata.org/numba-doc/latest/user/parallel.html#diagnostics for help.
2021-11-07T02:05:28.8258286Z   
2021-11-07T02:05:28.8259048Z   File "pandas\core\util\numba_.py", line 103:
2021-11-07T02:05:28.8259789Z   
2021-11-07T02:05:28.8260438Z               def impl(data, *_args):
2021-11-07T02:05:28.8261191Z               ^
2021-11-07T02:05:28.8261872Z   
2021-11-07T02:05:28.8262540Z     result[i, j] = numba_func(group, group_index, *args)
2021-11-07T02:05:28.8263040Z 
2021-11-07T02:05:28.8263861Z pandas/tests/groupby/transform/test_numba.py::test_numba_vs_cython[False-True-True-Series-False]
2021-11-07T02:05:28.8264805Z pandas/tests/groupby/transform/test_numba.py::test_numba_vs_cython[False-True-True-DataFrame-False]
2021-11-07T02:05:28.8265732Z pandas/tests/groupby/transform/test_numba.py::test_cache[False-True-True-Series-False]
2021-11-07T02:05:28.8266631Z pandas/tests/groupby/transform/test_numba.py::test_cache[False-True-True-Series-False]
2021-11-07T02:05:28.8267535Z pandas/tests/groupby/transform/test_numba.py::test_cache[False-True-True-DataFrame-False]
2021-11-07T02:05:28.8268465Z pandas/tests/groupby/transform/test_numba.py::test_cache[False-True-True-DataFrame-False]
2021-11-07T02:05:28.8269393Z   D:\a\1\s\pandas\core\groupby\numba_.py:176: NumbaPerformanceWarning: 
2021-11-07T02:05:28.8270452Z   The keyword argument 'parallel=True' was specified but no transformation for parallel execution was possible.
2021-11-07T02:05:28.8271139Z   
2021-11-07T02:05:28.8271952Z   To find out why, try turning on parallel diagnostics, see https://numba.pydata.org/numba-doc/latest/user/parallel.html#diagnostics for help.
2021-11-07T02:05:28.8272962Z   
2021-11-07T02:05:28.8273637Z   File "pandas\core\util\numba_.py", line 103:
2021-11-07T02:05:28.8274392Z   
2021-11-07T02:05:28.8275091Z               def impl(data, *_args):
2021-11-07T02:05:28.8275854Z               ^
2021-11-07T02:05:28.8276574Z   
2021-11-07T02:05:28.8277286Z     result[begin[i] : end[i], j] = numba_func(group, group_index, *args)
2021-11-07T02:05:28.8277881Z 
2021-11-07T02:05:28.8278538Z -- Docs: https://docs.pytest.org/en/stable/warnings.html
2021-11-07T02:05:28.8279395Z ----------------- generated xml file: D:\a\1\s\test-data.xml ------------------
2021-11-07T02:05:28.8280220Z ============================ slowest 30 durations =============================
2021-11-07T02:05:28.8281123Z 5.51s call     pandas/tests/groupby/transform/test_numba.py::test_cache[False-True-True-DataFrame-False]
2021-11-07T02:05:28.8282074Z 3.76s call     pandas/tests/frame/test_api.py::TestDataFrameMisc::test_inspect_getmembers
2021-11-07T02:05:28.8282962Z 2.69s call     pandas/tests/frame/methods/test_to_csv.py::TestDataFrameToCSV::test_to_csv_chunking
2021-11-07T02:05:28.8284071Z 2.68s call     pandas/tests/groupby/transform/test_numba.py::test_cache[False-True-True-Series-False]
2021-11-07T02:05:28.8285128Z 2.57s call     pandas/tests/groupby/transform/test_numba.py::test_cache[False-True-True-DataFrame-True]
2021-11-07T02:05:28.8286387Z 2.47s call     pandas/tests/groupby/test_numba.py::TestEngine::test_cython_vs_numba_frame[True-False-True-True]
2021-11-07T02:05:28.8287427Z 2.27s call     pandas/tests/groupby/transform/test_numba.py::test_cache[False-True-True-Series-True]
2021-11-07T02:05:28.8288542Z 2.17s call     pandas/tests/arithmetic/test_numeric.py::TestNumericComparisons::test_numeric_cmp_string_numexpr_path[numexpr-array]
2021-11-07T02:05:28.8289591Z 2.07s teardown pandas/tests/groupby/transform/test_numba.py::test_index_data_correctly_passed
2021-11-07T02:05:28.8290482Z 1.94s call     pandas/tests/groupby/aggregate/test_numba.py::test_numba_vs_cython[False-True-True-DataFrame-True]
2021-11-07T02:05:28.8291405Z 1.91s teardown pandas/tests/groupby/transform/test_transform.py::test_null_group_lambda_self
2021-11-07T02:05:28.8292276Z 1.78s call     pandas/tests/groupby/aggregate/test_numba.py::test_cache[False-True-True-DataFrame-False]
2021-11-07T02:05:28.8293156Z 1.78s call     pandas/tests/groupby/aggregate/test_numba.py::test_cache[False-True-True-Series-False]
2021-11-07T02:05:28.8294001Z 1.75s call     pandas/tests/frame/test_stack_unstack.py::TestDataFrameReshape::test_stack_partial_multiIndex
2021-11-07T02:05:28.8295149Z 1.59s call     pandas/tests/groupby/aggregate/test_numba.py::test_cache[False-True-True-DataFrame-True]
2021-11-07T02:05:28.8296136Z 1.56s call     pandas/tests/groupby/aggregate/test_numba.py::test_cache[False-True-True-Series-True]
2021-11-07T02:05:28.8297097Z 1.55s call     pandas/tests/extension/test_floating.py::TestReshaping::test_set_frame_expand_extension_with_regular[Float64Dtype]
2021-11-07T02:05:28.8298164Z 1.50s call     pandas/tests/arithmetic/test_numeric.py::TestNumericComparisons::test_numeric_cmp_string_numexpr_path[python-array]
2021-11-07T02:05:28.8299219Z 1.45s call     pandas/tests/groupby/aggregate/test_aggregate.py::test_callable_result_dtype_series[apply-float-1-keys1-agg_index1]
2021-11-07T02:05:28.8300161Z 1.40s call     pandas/tests/groupby/transform/test_numba.py::test_cache[False-False-True-Series-False]
2021-11-07T02:05:28.8336098Z 1.37s call     pandas/tests/groupby/transform/test_numba.py::test_numba_vs_cython[False-True-True-Series-True]
2021-11-07T02:05:28.8337259Z 1.36s call     pandas/tests/groupby/test_timegrouper.py::TestGroupBy::test_groupby_agg_numba_timegrouper_with_nat
2021-11-07T02:05:28.8338468Z 1.35s call     pandas/tests/groupby/transform/test_numba.py::test_cache[False-False-True-DataFrame-False]
2021-11-07T02:05:28.8339626Z 1.32s call     pandas/tests/groupby/test_numba.py::TestEngine::test_cython_vs_numba_getitem[True-False-True-True]
2021-11-07T02:05:28.8340673Z 1.30s call     pandas/tests/groupby/transform/test_numba.py::test_numba_vs_cython[False-True-True-DataFrame-False]
2021-11-07T02:05:28.8341567Z 1.28s call     pandas/tests/groupby/aggregate/test_numba.py::test_numba_vs_cython[False-True-True-DataFrame-False]
2021-11-07T02:05:28.8342487Z 1.26s call     pandas/tests/groupby/transform/test_numba.py::test_numba_vs_cython[False-True-True-Series-False]
2021-11-07T02:05:28.8343403Z 1.23s call     pandas/tests/groupby/test_function.py::test_builtins_apply[keys1-sum]
2021-11-07T02:05:28.8344219Z 1.17s call     pandas/tests/groupby/aggregate/test_numba.py::test_numba_vs_cython[False-True-True-Series-True]
2021-11-07T02:05:28.8345950Z 1.14s call     pandas/tests/frame/test_ufunc.py::test_alignment_deprecation_many_inputs
2021-11-07T02:05:28.8347413Z =========================== short test summary info ===========================
2021-11-07T02:05:28.8348336Z FAILED pandas/tests/arrays/test_datetimelike.py::TestDatetimeArray::test_take_fill_valid[None-D]
2021-11-07T02:05:28.8349384Z FAILED pandas/tests/arrays/test_datetimelike.py::TestDatetimeArray::test_take_fill_valid[None-B]
2021-11-07T02:05:28.8350350Z FAILED pandas/tests/arrays/test_datetimelike.py::TestDatetimeArray::test_take_fill_valid[None-W]
2021-11-07T02:05:28.8351247Z FAILED pandas/tests/arrays/test_datetimelike.py::TestDatetimeArray::test_take_fill_valid[None-M]
2021-11-07T02:05:28.8352205Z FAILED pandas/tests/arrays/test_datetimelike.py::TestDatetimeArray::test_take_fill_valid[None-Q]
2021-11-07T02:05:28.8353165Z FAILED pandas/tests/arrays/test_datetimelike.py::TestDatetimeArray::test_take_fill_valid[None-Y]
2021-11-07T02:05:28.8354071Z FAILED pandas/tests/arrays/test_datetimelike.py::TestDatetimeArray::test_take_fill_valid['US/Eastern'-D]
2021-11-07T02:05:28.8355279Z FAILED pandas/tests/arrays/test_datetimelike.py::TestDatetimeArray::test_take_fill_valid['US/Eastern'-B]
2021-11-07T02:05:28.8356460Z FAILED pandas/tests/arrays/test_datetimelike.py::TestDatetimeArray::test_take_fill_valid['US/Eastern'-W]
2021-11-07T02:05:28.8358064Z FAILED pandas/tests/arrays/test_datetimelike.py::TestDatetimeArray::test_take_fill_valid['US/Eastern'-M]
2021-11-07T02:05:28.8359070Z FAILED pandas/tests/arrays/test_datetimelike.py::TestDatetimeArray::test_take_fill_valid['US/Eastern'-Q]
2021-11-07T02:05:28.8360139Z FAILED pandas/tests/arrays/test_datetimelike.py::TestDatetimeArray::test_take_fill_valid['US/Eastern'-Y]
2021-11-07T02:05:28.8361082Z FAILED pandas/tests/arrays/test_datetimelike.py::TestDatetimeArray::test_take_fill_valid['dateutil/US/Pacific'-D]
2021-11-07T02:05:28.8362120Z FAILED pandas/tests/arrays/test_datetimelike.py::TestDatetimeArray::test_take_fill_valid['dateutil/US/Pacific'-B]
2021-11-07T02:05:28.8363134Z FAILED pandas/tests/arrays/test_datetimelike.py::TestDatetimeArray::test_take_fill_valid['dateutil/US/Pacific'-W]
2021-11-07T02:05:28.8364100Z FAILED pandas/tests/arrays/test_datetimelike.py::TestDatetimeArray::test_take_fill_valid['dateutil/US/Pacific'-M]
2021-11-07T02:05:28.8365192Z FAILED pandas/tests/arrays/test_datetimelike.py::TestDatetimeArray::test_take_fill_valid['dateutil/US/Pacific'-Q]
2021-11-07T02:05:28.8366228Z FAILED pandas/tests/arrays/test_datetimelike.py::TestDatetimeArray::test_take_fill_valid['dateutil/US/Pacific'-Y]
2021-11-07T02:05:28.8367206Z FAILED pandas/tests/dtypes/cast/test_promote.py::test_maybe_promote_any_numpy_dtype_with_datetimetz[bool-'US/Eastern'-pd.Timestamp]
2021-11-07T02:05:28.8368311Z FAILED pandas/tests/dtypes/cast/test_promote.py::test_maybe_promote_any_numpy_dtype_with_datetimetz[bool-'US/Eastern'-datetime.datetime]
2021-11-07T02:05:28.8369420Z FAILED pandas/tests/dtypes/cast/test_promote.py::test_maybe_promote_any_numpy_dtype_with_datetimetz[bool-'dateutil/US/Pacific'-pd.Timestamp]
2021-11-07T02:05:28.8370538Z FAILED pandas/tests/dtypes/cast/test_promote.py::test_maybe_promote_any_numpy_dtype_with_datetimetz[bool-'dateutil/US/Pacific'-datetime.datetime]
2021-11-07T02:05:28.8371564Z FAILED pandas/tests/dtypes/cast/test_promote.py::test_maybe_promote_any_numpy_dtype_with_datetimetz[uint8-'US/Eastern'-pd.Timestamp]
2021-11-07T02:05:28.8372636Z FAILED pandas/tests/dtypes/cast/test_promote.py::test_maybe_promote_any_numpy_dtype_with_datetimetz[uint8-'US/Eastern'-datetime.datetime]
2021-11-07T02:05:28.8373706Z FAILED pandas/tests/dtypes/cast/test_promote.py::test_maybe_promote_any_numpy_dtype_with_datetimetz[uint8-'dateutil/US/Pacific'-pd.Timestamp]
2021-11-07T02:05:28.8375786Z FAILED pandas/tests/dtypes/cast/test_promote.py::test_maybe_promote_any_numpy_dtype_with_datetimetz[uint8-'dateutil/US/Pacific'-datetime.datetime]
2021-11-07T02:05:28.8376920Z FAILED pandas/tests/dtypes/cast/test_promote.py::test_maybe_promote_any_numpy_dtype_with_datetimetz[int32-'US/Eastern'-pd.Timestamp]
2021-11-07T02:05:28.8378004Z FAILED pandas/tests/dtypes/cast/test_promote.py::test_maybe_promote_any_numpy_dtype_with_datetimetz[int32-'US/Eastern'-datetime.datetime]
2021-11-07T02:05:28.8379213Z FAILED pandas/tests/dtypes/cast/test_promote.py::test_maybe_promote_any_numpy_dtype_with_datetimetz[int32-'dateutil/US/Pacific'-pd.Timestamp]
2021-11-07T02:05:28.8380253Z FAILED pandas/tests/dtypes/cast/test_promote.py::test_maybe_promote_any_numpy_dtype_with_datetimetz[int32-'dateutil/US/Pacific'-datetime.datetime]
2021-11-07T02:05:28.8381338Z FAILED pandas/tests/dtypes/cast/test_promote.py::test_maybe_promote_any_numpy_dtype_with_datetimetz[uint64-'US/Eastern'-pd.Timestamp]
2021-11-07T02:05:28.8382400Z FAILED pandas/tests/dtypes/cast/test_promote.py::test_maybe_promote_any_numpy_dtype_with_datetimetz[uint64-'US/Eastern'-datetime.datetime]
2021-11-07T02:05:28.8383413Z FAILED pandas/tests/dtypes/cast/test_promote.py::test_maybe_promote_any_numpy_dtype_with_datetimetz[uint64-'dateutil/US/Pacific'-pd.Timestamp]
2021-11-07T02:05:28.8384526Z FAILED pandas/tests/dtypes/cast/test_promote.py::test_maybe_promote_any_numpy_dtype_with_datetimetz[uint64-'dateutil/US/Pacific'-datetime.datetime]
2021-11-07T02:05:28.8385846Z FAILED pandas/tests/dtypes/cast/test_promote.py::test_maybe_promote_any_numpy_dtype_with_datetimetz[float32-'US/Eastern'-pd.Timestamp]
2021-11-07T02:05:28.8387025Z FAILED pandas/tests/dtypes/cast/test_promote.py::test_maybe_promote_any_numpy_dtype_with_datetimetz[float32-'US/Eastern'-datetime.datetime]
2021-11-07T02:05:28.8388057Z FAILED pandas/tests/dtypes/cast/test_promote.py::test_maybe_promote_any_numpy_dtype_with_datetimetz[float32-'dateutil/US/Pacific'-pd.Timestamp]
2021-11-07T02:05:28.8389149Z FAILED pandas/tests/dtypes/cast/test_promote.py::test_maybe_promote_any_numpy_dtype_with_datetimetz[float32-'dateutil/US/Pacific'-datetime.datetime]
2021-11-07T02:05:28.8390225Z FAILED pandas/tests/dtypes/cast/test_promote.py::test_maybe_promote_any_numpy_dtype_with_datetimetz[float64-'US/Eastern'-pd.Timestamp]
2021-11-07T02:05:28.8391224Z FAILED pandas/tests/dtypes/cast/test_promote.py::test_maybe_promote_any_numpy_dtype_with_datetimetz[float64-'US/Eastern'-datetime.datetime]
2021-11-07T02:05:28.8392344Z FAILED pandas/tests/dtypes/cast/test_promote.py::test_maybe_promote_any_numpy_dtype_with_datetimetz[float64-'dateutil/US/Pacific'-pd.Timestamp]
2021-11-07T02:05:28.8393439Z FAILED pandas/tests/dtypes/cast/test_promote.py::test_maybe_promote_any_numpy_dtype_with_datetimetz[float64-'dateutil/US/Pacific'-datetime.datetime]
2021-11-07T02:05:28.8394453Z FAILED pandas/tests/dtypes/cast/test_promote.py::test_maybe_promote_any_numpy_dtype_with_datetimetz[complex64-'US/Eastern'-pd.Timestamp]
2021-11-07T02:05:28.8395662Z FAILED pandas/tests/dtypes/cast/test_promote.py::test_maybe_promote_any_numpy_dtype_with_datetimetz[complex64-'US/Eastern'-datetime.datetime]
2021-11-07T02:05:28.8396753Z FAILED pandas/tests/dtypes/cast/test_promote.py::test_maybe_promote_any_numpy_dtype_with_datetimetz[complex64-'dateutil/US/Pacific'-pd.Timestamp]
2021-11-07T02:05:28.8397900Z FAILED pandas/tests/dtypes/cast/test_promote.py::test_maybe_promote_any_numpy_dtype_with_datetimetz[complex64-'dateutil/US/Pacific'-datetime.datetime]
2021-11-07T02:05:28.8398940Z FAILED pandas/tests/dtypes/cast/test_promote.py::test_maybe_promote_any_numpy_dtype_with_datetimetz[complex128-'US/Eastern'-pd.Timestamp]
2021-11-07T02:05:28.8400010Z FAILED pandas/tests/dtypes/cast/test_promote.py::test_maybe_promote_any_numpy_dtype_with_datetimetz[complex128-'US/Eastern'-datetime.datetime]
2021-11-07T02:05:28.8401095Z FAILED pandas/tests/dtypes/cast/test_promote.py::test_maybe_promote_any_numpy_dtype_with_datetimetz[complex128-'dateutil/US/Pacific'-pd.Timestamp]
2021-11-07T02:05:28.8402128Z FAILED pandas/tests/dtypes/cast/test_promote.py::test_maybe_promote_any_numpy_dtype_with_datetimetz[complex128-'dateutil/US/Pacific'-datetime.datetime]
2021-11-07T02:05:28.8403250Z FAILED pandas/tests/dtypes/cast/test_promote.py::test_maybe_promote_any_numpy_dtype_with_datetimetz[M8[ns]-'US/Eastern'-pd.Timestamp]
2021-11-07T02:05:28.8404458Z FAILED pandas/tests/dtypes/cast/test_promote.py::test_maybe_promote_any_numpy_dtype_with_datetimetz[M8[ns]-'US/Eastern'-datetime.datetime]
2021-11-07T02:05:28.8405660Z FAILED pandas/tests/dtypes/cast/test_promote.py::test_maybe_promote_any_numpy_dtype_with_datetimetz[M8[ns]-'dateutil/US/Pacific'-pd.Timestamp]
2021-11-07T02:05:28.8406816Z FAILED pandas/tests/dtypes/cast/test_promote.py::test_maybe_promote_any_numpy_dtype_with_datetimetz[M8[ns]-'dateutil/US/Pacific'-datetime.datetime]
2021-11-07T02:05:28.8407900Z FAILED pandas/tests/dtypes/cast/test_promote.py::test_maybe_promote_any_numpy_dtype_with_datetimetz[m8[ns]-'US/Eastern'-pd.Timestamp]
2021-11-07T02:05:28.8408968Z FAILED pandas/tests/dtypes/cast/test_promote.py::test_maybe_promote_any_numpy_dtype_with_datetimetz[m8[ns]-'US/Eastern'-datetime.datetime]
2021-11-07T02:05:28.8409984Z FAILED pandas/tests/dtypes/cast/test_promote.py::test_maybe_promote_any_numpy_dtype_with_datetimetz[m8[ns]-'dateutil/US/Pacific'-pd.Timestamp]
2021-11-07T02:05:28.8411200Z FAILED pandas/tests/dtypes/cast/test_promote.py::test_maybe_promote_any_numpy_dtype_with_datetimetz[m8[ns]-'dateutil/US/Pacific'-datetime.datetime]
2021-11-07T02:05:28.8412263Z FAILED pandas/tests/dtypes/cast/test_promote.py::test_maybe_promote_any_numpy_dtype_with_datetimetz[str-'US/Eastern'-pd.Timestamp]
2021-11-07T02:05:28.8413427Z FAILED pandas/tests/dtypes/cast/test_promote.py::test_maybe_promote_any_numpy_dtype_with_datetimetz[str-'US/Eastern'-datetime.datetime]
2021-11-07T02:05:28.8414501Z FAILED pandas/tests/dtypes/cast/test_promote.py::test_maybe_promote_any_numpy_dtype_with_datetimetz[str-'dateutil/US/Pacific'-pd.Timestamp]
2021-11-07T02:05:28.8415667Z FAILED pandas/tests/dtypes/cast/test_promote.py::test_maybe_promote_any_numpy_dtype_with_datetimetz[str-'dateutil/US/Pacific'-datetime.datetime]
2021-11-07T02:05:28.8416748Z FAILED pandas/tests/dtypes/cast/test_promote.py::test_maybe_promote_any_numpy_dtype_with_datetimetz[bytes-'US/Eastern'-pd.Timestamp]
2021-11-07T02:05:28.8417746Z FAILED pandas/tests/dtypes/cast/test_promote.py::test_maybe_promote_any_numpy_dtype_with_datetimetz[bytes-'US/Eastern'-datetime.datetime]
2021-11-07T02:05:28.8418913Z FAILED pandas/tests/dtypes/cast/test_promote.py::test_maybe_promote_any_numpy_dtype_with_datetimetz[bytes-'dateutil/US/Pacific'-pd.Timestamp]
2021-11-07T02:05:28.8419980Z FAILED pandas/tests/dtypes/cast/test_promote.py::test_maybe_promote_any_numpy_dtype_with_datetimetz[bytes-'dateutil/US/Pacific'-datetime.datetime]
2021-11-07T02:05:28.8420915Z FAILED pandas/tests/dtypes/cast/test_promote.py::test_maybe_promote_any_numpy_dtype_with_datetimetz[object-'US/Eastern'-pd.Timestamp]
2021-11-07T02:05:28.8421902Z FAILED pandas/tests/dtypes/cast/test_promote.py::test_maybe_promote_any_numpy_dtype_with_datetimetz[object-'US/Eastern'-datetime.datetime]
2021-11-07T02:05:28.8422895Z FAILED pandas/tests/dtypes/cast/test_promote.py::test_maybe_promote_any_numpy_dtype_with_datetimetz[object-'dateutil/US/Pacific'-pd.Timestamp]
2021-11-07T02:05:28.8423904Z FAILED pandas/tests/dtypes/cast/test_promote.py::test_maybe_promote_any_numpy_dtype_with_datetimetz[object-'dateutil/US/Pacific'-datetime.datetime]
2021-11-07T02:05:28.8424807Z = 70 failed, 71498 passed, 3487 skipped, 710 xfailed, 74 warnings in 618.15s (0:10:18) =
2021-11-07T02:05:29.0388317Z Test results publishing 1000, remaining: 45765. Test run id: 2915250
2021-11-07T02:05:29.3223601Z Test results publishing 1000, remaining: 44765. Test run id: 2915250
2021-11-07T02:05:29.6240892Z Test results publishing 1000, remaining: 43765. Test run id: 2915250
2021-11-07T02:05:29.9399695Z Test results publishing 1000, remaining: 42765. Test run id: 2915250
2021-11-07T02:05:30.2140028Z Test results publishing 1000, remaining: 41765. Test run id: 2915250
2021-11-07T02:05:30.6361285Z Test results publishing 1000, remaining: 40765. Test run id: 2915250
2021-11-07T02:05:30.9096608Z Test results publishing 1000, remaining: 39765. Test run id: 2915250
2021-11-07T02:05:31.2056981Z Test results publishing 1000, remaining: 38765. Test run id: 2915250
2021-11-07T02:05:31.5256511Z Test results publishing 1000, remaining: 37765. Test run id: 2915250
2021-11-07T02:05:31.8280870Z Test results publishing 1000, remaining: 36765. Test run id: 2915250
2021-11-07T02:05:32.0875600Z Test results publishing 1000, remaining: 35765. Test run id: 2915250
2021-11-07T02:05:32.3591380Z Test results publishing 1000, remaining: 34765. Test run id: 2915250
2021-11-07T02:05:32.6183318Z Test results publishing 1000, remaining: 33765. Test run id: 2915250
2021-11-07T02:05:32.9310808Z Test results publishing 1000, remaining: 32765. Test run id: 2915250
2021-11-07T02:05:32.9763784Z ##[error]Bash exited with code '1'.
2021-11-07T02:05:32.9913121Z ##[section]Async Command Start: Publish test results
2021-11-07T02:05:33.2178938Z Test results publishing 1000, remaining: 31765. Test run id: 2915250
2021-11-07T02:05:33.5073686Z Test results publishing 1000, remaining: 30765. Test run id: 2915250
2021-11-07T02:05:33.8283803Z Test results publishing 1000, remaining: 29765. Test run id: 2915250
2021-11-07T02:05:34.0990766Z Test results publishing 1000, remaining: 28765. Test run id: 2915250
2021-11-07T02:05:34.3676756Z Test results publishing 1000, remaining: 27765. Test run id: 2915250
2021-11-07T02:05:34.6565727Z Test results publishing 1000, remaining: 26765. Test run id: 2915250
2021-11-07T02:05:34.9229894Z Test results publishing 1000, remaining: 25765. Test run id: 2915250
2021-11-07T02:05:35.3479093Z Test results publishing 1000, remaining: 24765. Test run id: 2915250
2021-11-07T02:05:35.6296460Z Test results publishing 1000, remaining: 23765. Test run id: 2915250
2021-11-07T02:05:35.9181204Z Test results publishing 1000, remaining: 22765. Test run id: 2915250
2021-11-07T02:05:36.2378253Z Test results publishing 1000, remaining: 21765. Test run id: 2915250
2021-11-07T02:05:36.6977225Z Test results publishing 1000, remaining: 20765. Test run id: 2915250
2021-11-07T02:05:36.9582446Z Test results publishing 1000, remaining: 19765. Test run id: 2915250
2021-11-07T02:05:37.2269261Z Test results publishing 1000, remaining: 18765. Test run id: 2915250
2021-11-07T02:05:37.4855571Z Test results publishing 1000, remaining: 17765. Test run id: 2915250
2021-11-07T02:05:37.7584823Z Test results publishing 1000, remaining: 16765. Test run id: 2915250
2021-11-07T02:05:38.0115261Z Test results publishing 1000, remaining: 15765. Test run id: 2915250
2021-11-07T02:05:38.3040910Z Test results publishing 1000, remaining: 14765. Test run id: 2915250
2021-11-07T02:05:38.5890956Z Test results publishing 1000, remaining: 13765. Test run id: 2915250
2021-11-07T02:05:38.8748157Z Test results publishing 1000, remaining: 12765. Test run id: 2915250
2021-11-07T02:05:39.2736860Z Test results publishing 1000, remaining: 11765. Test run id: 2915250
2021-11-07T02:05:39.5634992Z Test results publishing 1000, remaining: 10765. Test run id: 2915250
2021-11-07T02:05:39.8223792Z Test results publishing 1000, remaining: 9765. Test run id: 2915250
2021-11-07T02:05:40.0747506Z Test results publishing 1000, remaining: 8765. Test run id: 2915250
2021-11-07T02:05:40.3348423Z Test results publishing 1000, remaining: 7765. Test run id: 2915250
2021-11-07T02:05:40.5784864Z Test results publishing 1000, remaining: 6765. Test run id: 2915250
2021-11-07T02:05:40.8614388Z Test results publishing 1000, remaining: 5765. Test run id: 2915250
2021-11-07T02:05:41.0927375Z Test results publishing 1000, remaining: 4765. Test run id: 2915250
2021-11-07T02:05:41.3251273Z Test results publishing 1000, remaining: 3765. Test run id: 2915250
2021-11-07T02:05:41.5671862Z Test results publishing 1000, remaining: 2765. Test run id: 2915250
2021-11-07T02:05:41.8175825Z Test results publishing 1000, remaining: 1765. Test run id: 2915250
2021-11-07T02:05:42.0522719Z Test results publishing 1000, remaining: 765. Test run id: 2915250
2021-11-07T02:05:42.2964287Z Test results publishing 765, remaining: 0. Test run id: 2915250
2021-11-07T02:05:43.8644827Z Published Test Run : https://dev.azure.com/pandas-dev/pandas/_TestManagement/Runs?runId=2915250&_a=runCharts
2021-11-07T02:05:44.2494455Z Flaky failed test results are opted out of pass percentage
2021-11-07T02:05:44.3063909Z ##[section]Async Command End: Publish test results
2021-11-07T02:05:44.3066293Z ##[section]Finishing: Test