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Update tests
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@philippjfr
philippjfr committed Nov 10, 2021
1 parent a7f69a1 commit c145c8c
Showing 1 changed file with 24 additions and 24 deletions.
48 changes: 24 additions & 24 deletions panel/tests/widgets/test_tables.py
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Original file line number Diff line number Diff line change
Expand Up @@ -479,7 +479,7 @@ def test_tabulator_pagination(document, comm):
'C': np.array(['foo1', 'foo2']),
'D': np.array(['2009-01-01T00:00:00.000000000',
'2009-01-02T00:00:00.000000000'],
dtype='datetime64[ns]')
dtype='datetime64[ns]').astype(int) / 10e5
}
for col, values in model.source.data.items():
np.testing.assert_array_equal(values, expected[col])
Expand All @@ -493,7 +493,7 @@ def test_tabulator_pagination(document, comm):
'C': np.array(['foo3', 'foo4']),
'D': np.array(['2009-01-05T00:00:00.000000000',
'2009-01-06T00:00:00.000000000'],
dtype='datetime64[ns]')
dtype='datetime64[ns]').astype(int) / 10e5
}
for col, values in model.source.data.items():
np.testing.assert_array_equal(values, expected[col])
Expand All @@ -511,7 +511,7 @@ def test_tabulator_pagination(document, comm):
'D': np.array(['2009-01-01T00:00:00.000000000',
'2009-01-02T00:00:00.000000000',
'2009-01-05T00:00:00.000000000'],
dtype='datetime64[ns]')
dtype='datetime64[ns]').astype(int) / 10e5
}
for col, values in model.source.data.items():
np.testing.assert_array_equal(values, expected[col])
Expand Down Expand Up @@ -603,7 +603,7 @@ def test_tabulator_stream_series(document, comm):
'2009-01-06T00:00:00.000000000',
'2009-01-07T00:00:00.000000000',
'2009-01-08T00:00:00.000000000'],
dtype='datetime64[ns]')
dtype='datetime64[ns]').astype(int) / 10e5
}
for col, values in model.source.data.items():
np.testing.assert_array_equal(values, expected[col])
Expand Down Expand Up @@ -631,7 +631,7 @@ def test_tabulator_stream_series_rollover(document, comm):
'2009-01-06T00:00:00.000000000',
'2009-01-07T00:00:00.000000000',
'2009-01-08T00:00:00.000000000'],
dtype='datetime64[ns]')
dtype='datetime64[ns]').astype(int) / 10e5
}
for col, values in model.source.data.items():
np.testing.assert_array_equal(values, expected[col])
Expand All @@ -658,7 +658,7 @@ def test_tabulator_stream_df_rollover(document, comm):
'2009-01-06T00:00:00.000000000',
'2009-01-07T00:00:00.000000000',
'2009-01-08T00:00:00.000000000'],
dtype='datetime64[ns]')
dtype='datetime64[ns]').astype(int) / 10e5
}
for col, values in model.source.data.items():
np.testing.assert_array_equal(values, expected[col])
Expand Down Expand Up @@ -686,7 +686,7 @@ def test_tabulator_stream_dict_rollover(document, comm):
'2009-01-06T00:00:00.000000000',
'2009-01-07T00:00:00.000000000',
'2009-01-08T00:00:00.000000000'],
dtype='datetime64[ns]')
dtype='datetime64[ns]').astype(int) / 10e5
}
for col, values in model.source.data.items():
np.testing.assert_array_equal(values, expected[col])
Expand All @@ -710,7 +710,7 @@ def test_tabulator_patch_scalars(document, comm):
'2009-01-05T00:00:00.000000000',
'2009-01-06T00:00:00.000000000',
'2009-01-07T00:00:00.000000000'],
dtype='datetime64[ns]')
dtype='datetime64[ns]').astype(int) / 10e5
}
for col, values in model.source.data.items():
np.testing.assert_array_equal(values, expected[col])
Expand All @@ -737,7 +737,7 @@ def test_tabulator_patch_ranges(document, comm):
'2009-01-05T00:00:00.000000000',
'2009-01-06T00:00:00.000000000',
'2009-01-07T00:00:00.000000000'],
dtype='datetime64[ns]')
dtype='datetime64[ns]').astype(int) / 10e5
}
for col, values in model.source.data.items():
np.testing.assert_array_equal(values, expected[col])
Expand All @@ -763,7 +763,7 @@ def test_tabulator_stream_series_paginated_not_follow(document, comm):
'C': np.array(['foo1', 'foo2']),
'D': np.array(['2009-01-01T00:00:00.000000000',
'2009-01-02T00:00:00.000000000'],
dtype='datetime64[ns]')
dtype='datetime64[ns]').astype(int) / 10e5
}
for col, values in model.source.data.items():
np.testing.assert_array_equal(values, expected[col])
Expand All @@ -789,7 +789,7 @@ def test_tabulator_stream_series_paginated_follow(document, comm):
'C': np.array(['foo5', 'foo6']),
'D': np.array(['2009-01-07T00:00:00.000000000',
'2009-01-08T00:00:00.000000000'],
dtype='datetime64[ns]')
dtype='datetime64[ns]').astype(int) / 10e5
}
for col, values in model.source.data.items():
np.testing.assert_array_equal(values, expected[col])
Expand Down Expand Up @@ -855,7 +855,7 @@ def test_tabulator_stream_dataframe(document, comm):
'2009-01-07T00:00:00.000000000',
'2009-01-08T00:00:00.000000000',
'2009-01-09T00:00:00.000000000'],
dtype='datetime64[ns]')
dtype='datetime64[ns]').astype(int) / 10e5
}
for col, values in model.source.data.items():
np.testing.assert_array_equal(values, expected[col])
Expand All @@ -875,7 +875,7 @@ def test_tabulator_constant_scalar_filter(document, comm):
'B': np.array([0]),
'C': np.array(['foo3']),
'D': np.array(['2009-01-05T00:00:00.000000000'],
dtype='datetime64[ns]')
dtype='datetime64[ns]').astype(int) / 10e5
}
for col, values in model.source.data.items():
np.testing.assert_array_equal(values, expected[col])
Expand All @@ -895,7 +895,7 @@ def test_tabulator_constant_scalar_filter_client_side(document, comm):
'B': np.array([0]),
'C': np.array(['foo3']),
'D': np.array(['2009-01-05T00:00:00.000000000'],
dtype='datetime64[ns]')
dtype='datetime64[ns]').astype(int) / 10e5
}
for col, values in model.source.data.items():
np.testing.assert_array_equal(values, expected[col])
Expand All @@ -914,7 +914,7 @@ def test_tabulator_constant_scalar_filter_on_index_client_side(document, comm):
'B': np.array([0]),
'C': np.array(['foo3']),
'D': np.array(['2009-01-05T00:00:00.000000000'],
dtype='datetime64[ns]')
dtype='datetime64[ns]').astype(int) / 10e5
}
for col, values in model.source.data.items():
np.testing.assert_array_equal(values, expected[col])
Expand All @@ -936,7 +936,7 @@ def test_tabulator_constant_scalar_filter_on_multi_index_client_side(document, c
'C': np.array(['foo3']),
'B': np.array([0]),
'D': np.array(['2009-01-05T00:00:00.000000000'],
dtype='datetime64[ns]')
dtype='datetime64[ns]').astype(int) / 10e5
}
for col, values in model.source.data.items():
np.testing.assert_array_equal(values, expected[col])
Expand All @@ -956,7 +956,7 @@ def test_tabulator_constant_list_filter(document, comm):
'C': np.array(['foo3', 'foo5']),
'D': np.array(['2009-01-05T00:00:00.000000000',
'2009-01-07T00:00:00.000000000'],
dtype='datetime64[ns]')
dtype='datetime64[ns]').astype(int) / 10e5
}
for col, values in model.source.data.items():
np.testing.assert_array_equal(values, expected[col])
Expand All @@ -977,7 +977,7 @@ def test_tabulator_constant_list_filter_client_side(document, comm):
'C': np.array(['foo3', 'foo5']),
'D': np.array(['2009-01-05T00:00:00.000000000',
'2009-01-07T00:00:00.000000000'],
dtype='datetime64[ns]')
dtype='datetime64[ns]').astype(int) / 10e5
}
for col, values in model.source.data.items():
np.testing.assert_array_equal(values, expected[col])
Expand All @@ -998,7 +998,7 @@ def test_tabulator_widget_scalar_filter(document, comm):
'B': np.array([0]),
'C': np.array(['foo3']),
'D': np.array(['2009-01-05T00:00:00.000000000'],
dtype='datetime64[ns]')
dtype='datetime64[ns]').astype(int) / 10e5
}
for col, values in model.source.data.items():
np.testing.assert_array_equal(values, expected[col])
Expand All @@ -1011,7 +1011,7 @@ def test_tabulator_widget_scalar_filter(document, comm):
'B': np.array([0]),
'C': np.array(['foo1']),
'D': np.array(['2009-01-01T00:00:00.000000000'],
dtype='datetime64[ns]')
dtype='datetime64[ns]').astype(int) / 10e5
}
for col, values in model.source.data.items():
np.testing.assert_array_equal(values, expected[col])
Expand All @@ -1036,7 +1036,7 @@ def filter_c(df, value):
'B': np.array([0]),
'C': np.array(['foo3']),
'D': np.array(['2009-01-05T00:00:00.000000000'],
dtype='datetime64[ns]')
dtype='datetime64[ns]').astype(int) / 10e5
}
for col, values in model.source.data.items():
np.testing.assert_array_equal(values, expected[col])
Expand All @@ -1049,7 +1049,7 @@ def filter_c(df, value):
'B': np.array([0]),
'C': np.array(['foo1']),
'D': np.array(['2009-01-01T00:00:00.000000000'],
dtype='datetime64[ns]')
dtype='datetime64[ns]').astype(int) / 10e5
}
for col, values in model.source.data.items():
np.testing.assert_array_equal(values, expected[col])
Expand All @@ -1070,7 +1070,7 @@ def test_tabulator_constant_tuple_filter(document, comm):
'C': np.array(['foo3', 'foo4']),
'D': np.array(['2009-01-05T00:00:00.000000000',
'2009-01-06T00:00:00.000000000'],
dtype='datetime64[ns]')
dtype='datetime64[ns]').astype(int) / 10e5
}
for col, values in model.source.data.items():
np.testing.assert_array_equal(values, expected[col])
Expand Down Expand Up @@ -1102,7 +1102,7 @@ def test_tabulator_stream_dataframe_with_filter(document, comm):
'C': np.array(['foo2', 'foo7']),
'D': np.array(['2009-01-02T00:00:00.000000000',
'2009-01-09T00:00:00.000000000'],
dtype='datetime64[ns]')
dtype='datetime64[ns]').astype(int) / 10e5
}
for col, values in model.source.data.items():
np.testing.assert_array_equal(values, expected[col])
Expand Down

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