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⚠️ Upstream CI failed ⚠️ #11111

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github-actions bot opened this issue May 9, 2024 · 0 comments
Open

⚠️ Upstream CI failed ⚠️ #11111

github-actions bot opened this issue May 9, 2024 · 0 comments
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github-actions bot commented May 9, 2024 •
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Python 3.12 Test Summary 
dask/dataframe/io/tests/test_csv.py::test_late_dtypes: AssertionError: assert 'Mismatched d...ns as floats.' == 'Mismatched d...to_datetime`.'
  
    Mismatched dtypes found in `pd.read_csv`/`pd.read_table`.
    
    +--------------+---------+----------+
    | Column       | Found   | Expected |
    +--------------+---------+----------+
    | more_numbers | float64 | int64    |
    | numbers      | float64 | int64    |
    +--------------+---------+----------+
    
    Usually this is due to dask's dtype inference failing, and
    *may* be fixed by specifying dtypes manually by adding:
    
    dtype={'more_numbers': 'float64',
           'numbers': 'float64'}
    
    to the call to `read_csv`/`read_table`.
    
    Alternatively, provide `assume_missing=True` to interpret
  - all unspecified integer columns as floats.
  ?                                           -
  + all unspecified integer columns as floats.
  - 
  - -------------------------------------------------------------
  - 
  - The following columns also failed to properly parse as dates:
  - 
  - - dates
  - 
  - This is usually due to an invalid value in that column. To
  - diagnose and fix it's recommended to drop these columns from the
  - `parse_dates` keyword, and manually convert them to dates later
  - using `dd.to_datetime`.
dask/dataframe/io/tests/test_parquet.py::test_pyarrow_schema_inference[infer-False]: AssertionError: Attributes of DataFrame.iloc[:, 1] (column name="date") are different

Attribute "dtype" are different
[left]:  datetime64[s]
[right]: datetime64[ms]
dask/dataframe/io/tests/test_parquet.py::test_pyarrow_schema_inference[infer-True]: AssertionError: Attributes of DataFrame.iloc[:, 0] (column name="date") are different

Attribute "dtype" are different
[left]:  datetime64[s]
[right]: datetime64[ms]
dask/dataframe/io/tests/test_parquet.py::test_pyarrow_schema_inference[complex-False]: AssertionError: Attributes of DataFrame.iloc[:, 1] (column name="date") are different

Attribute "dtype" are different
[left]:  datetime64[s]
[right]: datetime64[ms]
dask/dataframe/io/tests/test_parquet.py::test_pyarrow_schema_inference[complex-True]: AssertionError: Attributes of DataFrame.iloc[:, 0] (column name="date") are different

Attribute "dtype" are different
[left]:  datetime64[s]
[right]: datetime64[ms]
dask/dataframe/io/tests/test_parquet.py::test_roundtrip_decimal_dtype: AssertionError: Attributes of DataFrame.iloc[:, 0] (column name="ts") are different

Attribute "dtype" are different
[left]:  datetime64[s, UTC]
[right]: datetime64[ms, UTC]
dask/dataframe/io/tests/test_parquet.py::test_roundtrip_date_dtype: AssertionError: Attributes of DataFrame.iloc[:, 0] (column name="ts") are different

Attribute "dtype" are different
[left]:  datetime64[s, UTC]
[right]: datetime64[ms, UTC]
dask/dataframe/io/tests/test_sql.py::test_needs_rational: AssertionError: assert False
 +  where False = <function assert_dask_dtypes.<locals>.eq_dtypes at 0x7fb558472340>(dtype('<M8[ns]'), dtype('<M8[us]'))
dask/dataframe/io/tests/test_sql.py::test_datetimes: AssertionError: assert False
 +  where False = <function assert_dask_dtypes.<locals>.eq_dtypes at 0x7fb55843d6c0>(dtype('<M8[ns]'), dtype('<M8[us]'))
dask/dataframe/tests/test_arithmetics_reduction.py::test_datetime_std_creates_copy_cols[True-0]: TypeError: ufunc 'isnan' not supported for the input types, and the inputs could not be safely coerced to any supported types according to the casting rule ''safe''
dask/dataframe/tests/test_arithmetics_reduction.py::test_datetime_std_creates_copy_cols[True-1]: TypeError: ufunc 'isnan' not supported for the input types, and the inputs could not be safely coerced to any supported types according to the casting rule ''safe''
dask/dataframe/tests/test_arithmetics_reduction.py::test_datetime_std_creates_copy_cols[False-0]: TypeError: ufunc 'isnan' not supported for the input types, and the inputs could not be safely coerced to any supported types according to the casting rule ''safe''
dask/dataframe/tests/test_arithmetics_reduction.py::test_datetime_std_creates_copy_cols[False-1]: TypeError: ufunc 'isnan' not supported for the input types, and the inputs could not be safely coerced to any supported types according to the casting rule ''safe''
dask/dataframe/tests/test_arithmetics_reduction.py::test_datetime_std_creates_copy_cols[None-0]: TypeError: ufunc 'isnan' not supported for the input types, and the inputs could not be safely coerced to any supported types according to the casting rule ''safe''
dask/dataframe/tests/test_arithmetics_reduction.py::test_datetime_std_creates_copy_cols[None-1]: TypeError: ufunc 'isnan' not supported for the input types, and the inputs could not be safely coerced to any supported types according to the casting rule ''safe''
dask/dataframe/tests/test_arithmetics_reduction.py::test_datetime_std_with_larger_dataset[True-True-0]: AssertionError: Series are different

Series values are different (100.0 %)
[index]: [0]
[left]:  [16995710243078]
[right]: [16995710243078000]
At positional index 0, first diff: 16995710243078 != 16995710243078000
dask/dataframe/tests/test_arithmetics_reduction.py::test_datetime_std_with_larger_dataset[True-True-1]: AssertionError: Series are different

Series values are different (100.0 %)
[index]: [0]
[left]:  [16995710243078]
[right]: [16995710243078000]
At positional index 0, first diff: 16995710243078 != 16995710243078000
dask/dataframe/tests/test_arithmetics_reduction.py::test_datetime_std_with_larger_dataset[False-False-1]: AssertionError: Series are different

Series values are different (94.0 %)
[index]: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...]
[left]:  [-9223372036854775808, -9223372036854775808, -9223372036854775808, -9223372036854775808, -9223372036854775808, -9223372036854775808, -9223372036854775808, -9223372036854775808, -9223372036854775808, -9223372036854775808, -9223372036854775808, -9223372036854775808, -9223372036854775808, -9223372036854775808, -9223372036854775808, 618991102789761920, 619017287103613568, 619043471417465344, 619069655731316992, 619095840045168640, 619122024359020288, 619148208672871936, 619174392986723712, 619200577300575232, 619226761614427136, 619252945928278784, 619279130242130432, 619305314555981952, 619331498869833728, 619357683183685376, 619383867497537152, 619410051811388800, 619436236125240576, 619462420439092224, 619488604752943872, 619514789066795392, 619540973380647296, 619567157694498944, 619593342008350464, 619619526322202240, 619645710636054016, 619671894949905792, 619698079263757312, 619724263577608960, 619750447891460736, 619776632205312256, 619802816519163904, 619829000833015680, 619855185146867328, 619881369460719104, 619907553774570624, 619933738088422528, 619959922402274176, 619986106716125696, 620012291029977472, 620038475343829120, 620064659657680768, 620090843971532672, 620117028285384192, 620143212599235840, 620169396913087488, 620195581226939264, 620221765540790912, 620247949854642560, 620274134168494208, 620300318482345984, 620326502796197632, 620352687110049280, 620378871423901056, 620405055737752704, 620431240051604224, 620457424365456000, 620483608679307776, 620509792993159296, 620535977307010944, 620562161620862720, 620588345934714368, 620614530248566144, 620640714562417920, 620666898876269440, 620693083190121216, 620719267503972864, 620745451817824640, 620771636131676160, 620797820445527808, 620824004759379456, 620850189073231232, 620876373387082880, 620902557700934528, 620928742014786304, 620954926328637824, 620981110642489600, 621007294956341376, 621033479270193024, 621059663584044672, 621085847897896192, 621112032211748096, 621138216525599616, 621164400839451264, 621190585153303040, ...]
[right]: [-9223372036854775808, -9223372036854775808, -9223372036854775808, -9223372036854775808, -9223372036854775808, -9223372036854775808, -9223372036854775808, -9223372036854775808, -9223372036854775808, -9223372036854775808, -9223372036854775808, -9223372036854775808, -9223372036854775808, -9223372036854775808, -9223372036854775808, 1098457150970900, 1030244837688498, 962032524406096, 893820211123694, 825607897841389, 757395584558986, 689183271276584, 620970957994279, 552758644711877, 484546331429475, 416334018147073, 348121704864767, 279909391582365, 211697078299963, 143484765017658, 75272451735256, 7060138452854, 61152174829548, 129364488111853, 197576801394255, 265789114676657, 334001427958963, 402213741241365, 470426054523767, 538638367806169, 606850681088474, 675062994370877, 743275307653278, 811487620935584, 879699934217986, 947912247500388, 1016124560782791, 1084336874065096, 1152549187347498, 1220761500629900, 1288973813912205, 1357186127194608, 1425398440477010, 1493610753759412, 1561823067041717, 1630035380324119, 1698247693606522, 1766460006888827, 1834672320171229, 1902884633453631, 1971096946736033, 2039309260018339, 2107521573300741, 2175733886583143, 2243946199865448, 2312158513147850, 2380370826430253, 2448583139712654, 2516795452994960, 2585007766277362, 2653220079559764, 2721432392842069, 2789644706124472, 2857857019406873, 2926069332689275, 2994281645971581, 3062493959253984, 3130706272536386, 3198918585818691, 3267130899101093, 3335343212383494, 3403555525665897, 3471767838948202, 3539980152230604, 3608192465513007, 3676404778795312, 3744617092077714, 3812829405360117, 3881041718642519, 3949254031924823, 4017466345207227, 4085678658489628, 4153890971771933, 4222103285054335, 4290315598336738, 4358527911619141, 4426740224901446, 4494952538183847, 4563164851466249, 4631377164748554, ...]
At positional index 15, first diff: 618991102789761920 != 1098457150970900
dask/dataframe/tests/test_arithmetics_reduction.py::test_datetime_std_with_larger_dataset[False-True-0]: AssertionError: Series are different

Series values are different (100.0 %)
[index]: [0]
[left]:  [16995710243078]
[right]: [16995710243078000]
At positional index 0, first diff: 16995710243078 != 16995710243078000
dask/dataframe/tests/test_arithmetics_reduction.py::test_datetime_std_with_larger_dataset[False-True-1]: AssertionError: Series are different

Series values are different (100.0 %)
[index]: [0]
[left]:  [16995710243078]
[right]: [16995710243078000]
At positional index 0, first diff: 16995710243078 != 16995710243078000
dask/dataframe/tests/test_arithmetics_reduction.py::test_datetime_std_with_larger_dataset[None-False-1]: AssertionError: Series are different

Series values are different (94.0 %)
[index]: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...]
[left]:  [-9223372036854775808, -9223372036854775808, -9223372036854775808, -9223372036854775808, -9223372036854775808, -9223372036854775808, -9223372036854775808, -9223372036854775808, -9223372036854775808, -9223372036854775808, -9223372036854775808, -9223372036854775808, -9223372036854775808, -9223372036854775808, -9223372036854775808, 618991102789761920, 619017287103613568, 619043471417465344, 619069655731316992, 619095840045168640, 619122024359020288, 619148208672871936, 619174392986723712, 619200577300575232, 619226761614427136, 619252945928278784, 619279130242130432, 619305314555981952, 619331498869833728, 619357683183685376, 619383867497537152, 619410051811388800, 619436236125240576, 619462420439092224, 619488604752943872, 619514789066795392, 619540973380647296, 619567157694498944, 619593342008350464, 619619526322202240, 619645710636054016, 619671894949905792, 619698079263757312, 619724263577608960, 619750447891460736, 619776632205312256, 619802816519163904, 619829000833015680, 619855185146867328, 619881369460719104, 619907553774570624, 619933738088422528, 619959922402274176, 619986106716125696, 620012291029977472, 620038475343829120, 620064659657680768, 620090843971532672, 620117028285384192, 620143212599235840, 620169396913087488, 620195581226939264, 620221765540790912, 620247949854642560, 620274134168494208, 620300318482345984, 620326502796197632, 620352687110049280, 620378871423901056, 620405055737752704, 620431240051604224, 620457424365456000, 620483608679307776, 620509792993159296, 620535977307010944, 620562161620862720, 620588345934714368, 620614530248566144, 620640714562417920, 620666898876269440, 620693083190121216, 620719267503972864, 620745451817824640, 620771636131676160, 620797820445527808, 620824004759379456, 620850189073231232, 620876373387082880, 620902557700934528, 620928742014786304, 620954926328637824, 620981110642489600, 621007294956341376, 621033479270193024, 621059663584044672, 621085847897896192, 621112032211748096, 621138216525599616, 621164400839451264, 621190585153303040, ...]
[right]: [-9223372036854775808, -9223372036854775808, -9223372036854775808, -9223372036854775808, -9223372036854775808, -9223372036854775808, -9223372036854775808, -9223372036854775808, -9223372036854775808, -9223372036854775808, -9223372036854775808, -9223372036854775808, -9223372036854775808, -9223372036854775808, -9223372036854775808, 1098457150970900, 1030244837688498, 962032524406096, 893820211123694, 825607897841389, 757395584558986, 689183271276584, 620970957994279, 552758644711877, 484546331429475, 416334018147073, 348121704864767, 279909391582365, 211697078299963, 143484765017658, 75272451735256, 7060138452854, 61152174829548, 129364488111853, 197576801394255, 265789114676657, 334001427958963, 402213741241365, 470426054523767, 538638367806169, 606850681088474, 675062994370877, 743275307653278, 811487620935584, 879699934217986, 947912247500388, 1016124560782791, 1084336874065096, 1152549187347498, 1220761500629900, 1288973813912205, 1357186127194608, 1425398440477010, 1493610753759412, 1561823067041717, 1630035380324119, 1698247693606522, 1766460006888827, 1834672320171229, 1902884633453631, 1971096946736033, 2039309260018339, 2107521573300741, 2175733886583143, 2243946199865448, 2312158513147850, 2380370826430253, 2448583139712654, 2516795452994960, 2585007766277362, 2653220079559764, 2721432392842069, 2789644706124472, 2857857019406873, 2926069332689275, 2994281645971581, 3062493959253984, 3130706272536386, 3198918585818691, 3267130899101093, 3335343212383494, 3403555525665897, 3471767838948202, 3539980152230604, 3608192465513007, 3676404778795312, 3744617092077714, 3812829405360117, 3881041718642519, 3949254031924823, 4017466345207227, 4085678658489628, 4153890971771933, 4222103285054335, 4290315598336738, 4358527911619141, 4426740224901446, 4494952538183847, 4563164851466249, 4631377164748554, ...]
At positional index 15, first diff: 618991102789761920 != 1098457150970900
dask/dataframe/tests/test_arithmetics_reduction.py::test_datetime_std_with_larger_dataset[None-True-0]: AssertionError: Series are different

Series values are different (100.0 %)
[index]: [0]
[left]:  [16995710243078]
[right]: [16995710243078000]
At positional index 0, first diff: 16995710243078 != 16995710243078000
dask/dataframe/tests/test_arithmetics_reduction.py::test_datetime_std_with_larger_dataset[None-True-1]: AssertionError: Series are different

Series values are different (100.0 %)
[index]: [0]
[left]:  [16995710243078]
[right]: [16995710243078000]
At positional index 0, first diff: 16995710243078 != 16995710243078000
dask/dataframe/tests/test_dataframe.py::test_describe[all-None-None-None]: AssertionError: DataFrame.iloc[:, 3] (column name="e") are different

DataFrame.iloc[:, 3] (column name="e") values are different (83.33333 %)
[index]: [25%, 50%, 75%, count, freq, max, mean, min, std, top, unique]
[left]:  [1970-01-18 07:04:48.000006, 1970-01-18 07:04:58.799472499, 1970-01-18 07:05:11.345168922, 8, 1970-01-18 07:05:16.583858694, 1970-01-18 07:04:48.000006]
[right]: [2017-05-09 00:00:00.006000, 2017-05-09 02:59:59.472499, 2017-05-09 06:29:05.168922, 8, 2017-05-09 07:56:23.858694, 2017-05-09 00:00:00.006000]
At positional index 0, first diff: 1970-01-18 07:04:48.000006 != 2017-05-09 00:00:00.006000
dask/dataframe/tests/test_dataframe.py::test_describe[include6-None-percentiles6-None]: AssertionError: Series are different

Series values are different (83.33333 %)
[index]: [25%, 50%, 75%, count, max, min]
[left]:  [2017-05-09 00:00:00.006000, 2017-05-09 02:59:59.472499, 2017-05-09 06:29:05.168922, 8, 2017-05-09 07:56:23.858694, 2017-05-09 00:00:00.006000]
[right]: [1970-01-18 07:04:48.000006, 1970-01-18 07:04:58.799472499, 1970-01-18 07:05:11.345168922, 8, 1970-01-18 07:05:16.583858694, 1970-01-18 07:04:48.000006]
At positional index 0, first diff: 2017-05-09 00:00:00.006000 != 1970-01-18 07:04:48.000006
dask/dataframe/tests/test_dataframe.py::test_describe[include7-None-None-None]: AssertionError: Series are different

Series values are different (83.33333 %)
[index]: [25%, 50%, 75%, count, max, min]
[left]:  [2017-05-09 00:00:00.006000, 2017-05-09 02:59:59.472499, 2017-05-09 06:29:05.168922, 8, 2017-05-09 07:56:23.858694, 2017-05-09 00:00:00.006000]
[right]: [1970-01-18 07:04:48.000006, 1970-01-18 07:04:58.799472499, 1970-01-18 07:05:11.345168922, 8, 1970-01-18 07:05:16.583858694, 1970-01-18 07:04:48.000006]
At positional index 0, first diff: 2017-05-09 00:00:00.006000 != 1970-01-18 07:04:48.000006
dask/dataframe/tests/test_dataframe.py::test_describe[include8-None-percentiles8-None]: AssertionError: Series are different

Series values are different (83.33333 %)
[index]: [25%, 50%, 75%, count, max, min]
[left]:  [2017-05-09 00:00:00.006000, 2017-05-09 02:59:59.472499, 2017-05-09 06:29:05.168922, 8, 2017-05-09 07:56:23.858694, 2017-05-09 00:00:00.006000]
[right]: [1970-01-18 07:04:48.000006, 1970-01-18 07:04:58.799472499, 1970-01-18 07:05:11.345168922, 8, 1970-01-18 07:05:16.583858694, 1970-01-18 07:04:48.000006]
At positional index 0, first diff: 2017-05-09 00:00:00.006000 != 1970-01-18 07:04:48.000006
dask/dataframe/tests/test_dataframe.py::test_describe[None-exclude9-None-None]: AssertionError: DataFrame.iloc[:, 0] (column name="e") are different

DataFrame.iloc[:, 0] (column name="e") values are different (83.33333 %)
[index]: [25%, 50%, 75%, count, freq, max, min, top, unique]
[left]:  [1970-01-18 07:04:48.000006, 1970-01-18 07:04:58.799472499, 1970-01-18 07:05:11.345168922, 8, 1970-01-18 07:05:16.583858694, 1970-01-18 07:04:48.000006]
[right]: [2017-05-09 00:00:00.006000, 2017-05-09 02:59:59.472499, 2017-05-09 06:29:05.168922, 8, 2017-05-09 07:56:23.858694, 2017-05-09 00:00:00.006000]
At positional index 0, first diff: 1970-01-18 07:04:48.000006 != 2017-05-09 00:00:00.006000
dask/dataframe/tests/test_dataframe.py::test_describe[include10-None-None-None]: AssertionError: DataFrame.iloc[:, 1] (column name="e") are different

DataFrame.iloc[:, 1] (column name="e") values are different (83.33333 %)
[index]: [25%, 50%, 75%, count, freq, max, min, top, unique]
[left]:  [1970-01-18 07:04:48.000006, 1970-01-18 07:04:58.799472499, 1970-01-18 07:05:11.345168922, 8, 1970-01-18 07:05:16.583858694, 1970-01-18 07:04:48.000006]
[right]: [2017-05-09 00:00:00.006000, 2017-05-09 02:59:59.472499, 2017-05-09 06:29:05.168922, 8, 2017-05-09 07:56:23.858694, 2017-05-09 00:00:00.006000]
At positional index 0, first diff: 1970-01-18 07:04:48.000006 != 2017-05-09 00:00:00.006000
dask/dataframe/tests/test_indexing.py::test_getitem_integer_slice: Failed: DID NOT WARN. No warnings of type (<class 'FutureWarning'>,) were emitted.
 Emitted warnings: [].
dask/dataframe/tests/test_indexing.py::test_loc_on_numpy_datetimes: KeyError: Timestamp('2015-12-31 23:59:59.999999999')
dask/dataframe/tests/test_indexing.py::test_loc_on_pandas_datetimes: KeyError: Timestamp('2015-12-31 23:59:59.999999999')
dask/dataframe/tests/test_utils_dataframe.py::test_meta_nonempty: assert np.False_
 +  where np.False_ = <bound method Series.all of D     True\nC     True\nB     True\nA     True\nH     True\nG    False\nF     True\nE     True\nI     True\nJ     True\nK     True\ndtype: bool>()
 +    where <bound method Series.all of D     True\nC     True\nB     True\nA     True\nH     True\nG    False\nF     True\nE     True\nI     True\nJ     True\nK     True\ndtype: bool> = D            ...\ndtype: object == D            ...\ndtype: object
      
      Full diff:
      �[0m�[91m- D                             float32�[39;49;00m�[90m�[39;49;00m
      ?  -�[90m�[39;49;00m
      �[92m+ D                            float32�[39;49;00m�[90m�[39;49;00m
      �[91m- C                              object�[39;49;00m�[90m�[39;49;00m
      ?  -�[90m�[39;49;00m
      �[92m+ C                             object�[39;49;00m�[90m�[39;49;00m
      �[91m- B                              object�[39;49;00m�[90m�[39;49;00m
      ?  -�[90m�[39;49;00m
      �[92m+ B                             object�[39;49;00m�[90m�[39;49;00m
      �[91m- A                            category�[39;49;00m�[90m�[39;49;00m
      ?  -�[90m�[39;49;00m
      �[92m+ A                           category�[39;49;00m�[90m�[39;49;00m
      �[91m- H                     timedelta64[ns]�[39;49;00m�[90m�[39;49;00m
      ?  -�[90m�[39;49;00m
      �[92m+ H                    timedelta64[ns]�[39;49;00m�[90m�[39;49;00m
      �[91m- G    datetime64[ns, America/New_York]�[39;49;00m�[90m�[39;49;00m
      ?                 -�[90m�[39;49;00m
      �[92m+ G    datetime64[s, America/New_York]�[39;49;00m�[90m�[39;49;00m
      �[91m- F                       datetime64[s]�[39;49;00m�[90m�[39;49;00m
      ?  -�[90m�[39;49;00m
      �[92m+ F                      datetime64[s]�[39;49;00m�[90m�[39;49;00m
      �[91m- E                               int32�[39;49;00m�[90m�[39;49;00m
      ?  -�[90m�[39;49;00m
      �[92m+ E                              int32�[39;49;00m�[90m�[39;49;00m
      �[91m- I                              object�[39;49;00m�[90m�[39;49;00m
      ?  -�[90m�[39;49;00m
      �[92m+ I                             object�[39;49;00m�[90m�[39;49;00m
      �[91m- J                            category�[39;49;00m�[90m�[39;49;00m
      ?  -�[90m�[39;49;00m
      �[92m+ J                           category�[39;49;00m�[90m�[39;49;00m
      �[91m- K                            category�[39;49;00m�[90m�[39;49;00m
      ?  -�[90m�[39;49;00m
      �[92m+ K                           category�[39;49;00m�[90m�[39;49;00m
      �[90m �[39;49;00m dtype: object�[90m�[39;49;00m.all
dask/dataframe/tseries/tests/test_resample.py::test_series_resample_non_existent_datetime: AssertionError: DataFrame.index are different

Attribute "dtype" are different
[left]:  datetime64[ns, America/Sao_Paulo]
[right]: datetime64[s, America/Sao_Paulo]
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