@@ -92,7 +92,7 @@ def test_primitive_chart_examples(filename, rows, cols, to_reconstruct):
9292 chart = alt .Chart .from_dict (chart .to_dict ())
9393 df = chart .transformed_data ()
9494 assert df is not None
95- nw_df = nw .from_native (df , eager_only = True , strict = True )
95+ nw_df = nw .from_native (df , eager_only = True )
9696
9797 assert len (nw_df ) == rows
9898 assert set (cols ).issubset (set (nw_df .columns ))
@@ -157,7 +157,7 @@ def test_compound_chart_examples(filename, all_rows, all_cols, to_reconstruct):
157157 # is that for some charts, the original chart contained duplicated datasets
158158 # which disappear when reconstructing the chart.
159159
160- nw_dfs = (nw .from_native (d , eager_only = True , strict = True ) for d in dfs )
160+ nw_dfs = (nw .from_native (d , eager_only = True ) for d in dfs )
161161 assert len (dfs ) == len (all_rows )
162162 for df , rows , cols in zip (nw_dfs , all_rows , all_cols ):
163163 assert len (df ) == rows
@@ -185,7 +185,7 @@ def test_transformed_data_exclude(to_reconstruct):
185185 assert isinstance (chart , alt .LayerChart )
186186 datasets = chart .transformed_data (exclude = ["some_annotation" ])
187187
188- _datasets = [nw .from_native (d , eager_only = True , strict = True ) for d in datasets ]
188+ _datasets = [nw .from_native (d , eager_only = True ) for d in datasets ]
189189 assert len (datasets ) == len (_datasets )
190190 assert len (_datasets ) == 2
191191 assert len (_datasets [0 ]) == 52
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