Condition notation updates in tutorials

Author: MatteB03

tutorials/tutorial10/tutorial.ipynb

@@ -196,14 +196,10 @@
    ],
    "source": [
     "class NeuralOperatorSolver(AbstractProblem):\n",
-    "    input_variables = k_train.labels[3]['dof']\n",
-    "    output_variables = u_train.labels[3]['dof']\n",
-    "    domains = {\n",
-    "        'pts': k_train\n",
-    "    }\n",
-    "    conditions = {'data' : Condition(domain='pts', #not among allowed pairs!!!\n",
-    "                                     output_points=u_train)}\n",
-    "\n",
+    "    input_variables = k_train.full_labels[3]['dof']\n",
+    "    output_variables = u_train.full_labels[3]['dof']\n",
+    "    conditions = {'data' : Condition(input=k_train, \n",
+    "                                     target=u_train)}\n",
     "# make problem\n",
     "problem = NeuralOperatorSolver()"
    ]
@@ -298,8 +294,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Final error training 56.05%\n",
-      "Final error testing 55.95%\n"
+      "Final error training 55.97%\n",
+      "Final error testing 55.82%\n"
      ]
     }
    ],
@@ -412,8 +408,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Final error training 7.48%\n",
-      "Final error testing 7.73%\n"
+      "Final error training 9.43%\n",
+      "Final error testing 9.40%\n"
      ]
     }
    ],
@@ -462,7 +458,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.3"
+   "version": "3.12.7"
   }
  },
  "nbformat": 4,

tutorials/tutorial4/tutorial.ipynb

@@ -203,7 +203,7 @@
     "        'phys_cond': Condition(domain=CartesianDomain({'x': [x_min, x_max], 'y': [y_min, y_max]\n",
     "            }),\n",
     "        equation=Equation(laplace_equation)),\n",
-    "        'data': Condition(input_points=data_input.extract(['x', 'y']), output_points=data_output)\n",
+    "        'data': Condition(input=data_input.extract(['x', 'y']), target=data_output)\n",
     "    }\n",
     "\n",
     "problem = Poisson()"

tutorials/tutorial5/tutorial.ipynb

@@ -157,7 +157,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": null,
    "id": "55cef553-7495-401d-9d17-1acff8ec5953",
    "metadata": {},
    "outputs": [],
@@ -167,7 +167,7 @@
     "    parameter_domain = CartesianDomain({'mu': [0, 100]})\n",
     "\n",
     "    conditions = {\n",
-    "        'io': Condition(input_points=p_train, output_points=u_train)\n",
+    "        'io': Condition(input=p_train, target=u_train)\n",
     "    }\n",
     "\n",
     "poisson_problem = SnapshotProblem()"