formatting

xopt-org · Jan 8, 2025 · 3c9bc66 · 3c9bc66
1 parent f6f8c42
commit 3c9bc66
Show file tree

Hide file tree

Showing 4 changed files with 9 additions and 10 deletions.
diff --git a/docs/examples/single_objective_bayes_opt/constrained_bo_tutorial.ipynb b/docs/examples/single_objective_bayes_opt/constrained_bo_tutorial.ipynb
@@ -227,8 +227,8 @@
     "\n",
     "    # add ground truth functions to plots\n",
     "    out = test_function({\"x\": test_x})\n",
-    "    ax[0,0].plot(test_x, out[\"f\"], \"C0-.\")\n",
-    "    ax[1,0].plot(test_x, out[\"c\"], \"C2-.\")\n",
+    "    ax[0, 0].plot(test_x, out[\"f\"], \"C0-.\")\n",
+    "    ax[1, 0].plot(test_x, out[\"c\"], \"C2-.\")\n",
     "\n",
     "    # do the optimization step\n",
     "    X.step()"

diff --git a/docs/examples/single_objective_bayes_opt/custom_model.ipynb b/docs/examples/single_objective_bayes_opt/custom_model.ipynb
@@ -155,8 +155,8 @@
     "\n",
     "fig, ax = generator.visualize_model(n_grid=len(test_x))\n",
     "# plot ground truth\n",
-    "ax[0,0].plot(test_x, y(test_x), \"C0-.\")\n",
-    "ax[1,0].plot(test_x, c(test_x), \"C2-.\");"
+    "ax[0, 0].plot(test_x, y(test_x), \"C0-.\")\n",
+    "ax[1, 0].plot(test_x, c(test_x), \"C2-.\");"
    ]
   },
   {
@@ -260,8 +260,8 @@
     "\n",
     "fig, ax = generator.visualize_model(n_grid=len(test_x))\n",
     "# plot ground truth\n",
-    "ax[0,0].plot(test_x, y(test_x), \"C0-.\")\n",
-    "ax[1,0].plot(test_x, c(test_x), \"C2-.\");"
+    "ax[0, 0].plot(test_x, y(test_x), \"C0-.\")\n",
+    "ax[1, 0].plot(test_x, c(test_x), \"C2-.\");"
    ]
   },
   {

diff --git a/docs/examples/single_objective_bayes_opt/heteroskedastic_noise_tutorial.ipynb b/docs/examples/single_objective_bayes_opt/heteroskedastic_noise_tutorial.ipynb
@@ -234,7 +234,7 @@
     "\n",
     "    # plot true function\n",
     "    true_f = sin_function({\"x\": test_x})[\"f\"]\n",
-    "    ax[0,0].plot(test_x, true_f, \"C1--\")\n",
+    "    ax[0, 0].plot(test_x, true_f, \"C1--\")\n",
     "\n",
     "    # do the optimization step\n",
     "    X.step()"

diff --git a/docs/examples/single_objective_bayes_opt/noisy_bo_tutorial.ipynb b/docs/examples/single_objective_bayes_opt/noisy_bo_tutorial.ipynb
@@ -227,11 +227,10 @@
     "\n",
     "    # plot true function\n",
     "    true_f = torch.sin(test_x)\n",
-    "    ax[0,0].plot(test_x, true_f, \"C1--\")\n",
+    "    ax[0, 0].plot(test_x, true_f, \"C1--\")\n",
     "\n",
     "    # do the optimization step\n",
-    "    X.step()\n",
-    "\n"
+    "    X.step()"
    ]
   },
   {