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new beta_bestfit_y img and tolerance
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probscale/tests/test_viz.py

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@@ -482,7 +482,7 @@ def test_probplot_pp_bestfit_probax_y(plot_data):
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return fig
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@pytest.mark.mpl_image_compare(baseline_dir=BASELINE_DIR, tolerance=15)
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@pytest.mark.mpl_image_compare(baseline_dir=BASELINE_DIR, tolerance=10)
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@pytest.mark.skipif(stats is None, reason="no scipy")
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def test_probplot_beta_dist_best_fit_y(plot_data):
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fig, (ax1, ax2) = plt.subplots(ncols=2)

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