From a06744832f01b6a4ff7bf939eba933b86b9a725b Mon Sep 17 00:00:00 2001 From: giovp Date: Tue, 9 Jul 2024 13:46:15 +0200 Subject: [PATCH 1/4] fix tests --- tests/_images/Labels_can_color_labels.png | Bin 34292 -> 36501 bytes .../Labels_label_categorical_color.png | Bin 54404 -> 48206 bytes tests/pl/test_render_labels.py | 5 +++-- 3 files changed, 3 insertions(+), 2 deletions(-) diff --git a/tests/_images/Labels_can_color_labels.png b/tests/_images/Labels_can_color_labels.png index 538ef4a27ad1d204982ee948b3113bb77a8ede19..feafe2bac6af1485530573fea24feb35ee3529d9 100644 GIT binary patch literal 36501 zcma%?1yEf<)20aoi$HLf;7)K4?!ny&?(QDkU4py2JA?$+;10pv-FNu@-L3j-x3>0H zk>uvyI?S2V)AIJyA+pk4*~He8vM|}!GQlcYTWt_{^D>DR&`LY zHga(OZf6J~_1(e7!rH;YRFBZf(9Yh}+KP#eo$d<_p^1ZojXftlz2*P@0-d#;F+EFl zeJQvIyp5QeJp{xD>DQk(-p=8~5D<}&;zIn2E@_A9&Mv6a&q1s6jHamql7ye@qCcq% z>=IJ6iw6@D`F59TzilUc=bIILUz_C{oa3Xdh$>v+0~do1k1pgU8I3FuBn$bu{hO1s 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_make_tablemodel_with_categorical_labels(self, sdata_blobs, label): RNG.normal(size=(n_obs, 10)), obs=pd.DataFrame(RNG.normal(size=(n_obs, 3)), columns=["a", "b", "c"]), ) - adata.obs["instance_id"] = instances.values # np.arange(1, adata.n_obs) + adata.obs["instance_id"] = instances.values adata.obs["category"] = RNG.choice(["a", "b", "c"], size=adata.n_obs) adata.obs["category"][:3] = ["a", "b", "c"] adata.obs["instance_id"] = list(range(adata.n_obs)) From ca9f0f65c22d3bbcd81388ae25ebd852ad56a0a1 Mon Sep 17 00:00:00 2001 From: giovp Date: Wed, 10 Jul 2024 08:42:56 +0200 Subject: [PATCH 3/4] upload correct images --- tests/_images/Labels_can_color_labels.png | Bin 36501 -> 36341 bytes .../Labels_label_categorical_color.png | Bin 48206 -> 55696 bytes 2 files changed, 0 insertions(+), 0 deletions(-) diff --git a/tests/_images/Labels_can_color_labels.png b/tests/_images/Labels_can_color_labels.png index feafe2bac6af1485530573fea24feb35ee3529d9..862b5d888ae27716043771fda06bc08f858e8da6 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