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Geoff GenzandGitHub
0b76b7c4f6
* Fix incorrect Pandas <NA> insert into Nullable(Float) column * Handle 200 error responses * Add Python 3.13 * Update test dependencies for Python 3.13
22 lines
1.1 KiB
Python
22 lines
1.1 KiB
Python
from datetime import datetime, date
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null_ds = [('key1', 1000, 77.3, 'value1', datetime(2022, 10, 15, 10, 3, 2), None),
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('key2', 2000, 882.00, None, None, date(1976, 5, 5)),
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('key3', None, float('nan'), 'value3', datetime(2022, 7, 4), date(1999, 12, 31)),
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('key4', 3000, None, 'value4', None, None)]
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null_ds_columns = ['key', 'num', 'flt', 'str', 'dt', 'd']
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null_ds_types = ['String', 'Nullable(Int32)', 'Nullable(Float64)', 'Nullable(String)', 'Nullable(DateTime)',
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'Nullable(Date)']
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basic_ds = [('key1', 1000, 50.3, 'value1', datetime.now(), 'lc_1'),
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('key2', 2000, -532.43, 'value2', datetime(1976, 7, 4, 12, 12, 11), 'lc_2'),
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('key3', -2503, 300.00, 'value3', date(2022, 10, 15), 'lc_99')]
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basic_ds_columns = ['key', 'num', 'flt', 'str', 'dt', 'lc_string']
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basic_ds_types = ['String', 'Int32', 'Float64', 'String', 'DateTime64(9)', 'LowCardinality(String)']
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basic_ds_types_ver19 = ['String', 'Int32', 'Float64', 'String', 'DateTime', 'LowCardinality(String)']
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dt_ds = [datetime(2020, 10, 10),
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datetime(2021, 11, 11)]
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dt_ds_columns = ['timestamp']
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dt_ds_types = ['DateTime']
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