diff --git a/ExplicitEulerPINN/ExplicitEuler.ipynb b/ExplicitEulerPINN/ExplicitEuler.ipynb
index eb3c26f7bef3bc8caced9bdbf30321c52bb29479..86979c0c6b493ae0cd82bfc5ccd6ccd97023aaec 100644
--- a/ExplicitEulerPINN/ExplicitEuler.ipynb
+++ b/ExplicitEulerPINN/ExplicitEuler.ipynb
@@ -2,19 +2,9 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 50,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "Using backend: tensorflow\n",
-      "Other supported backends: tensorflow.compat.v1, pytorch, jax, paddle.\n",
-      "paddle supports more examples now and is recommended.\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "\"\"\"Backend supported: tensorflow.compat.v1, tensorflow, pytorch, paddle\"\"\"\n",
     "import numpy as np\n",
@@ -23,12 +13,13 @@
     "import tensorflow as tf\n",
     "from scipy.interpolate import interp1d\n",
     "from sklearn.metrics import root_mean_squared_error, mean_squared_error, mean_absolute_error, mean_absolute_percentage_error, r2_score\n",
+    "from scipy.interpolate import interp1d\n",
     "import time"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 51,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -38,7 +29,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 52,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -47,8 +38,7 @@
     "T_MELTING = 273.15    # Melting temperature in Kelvin\n",
     "L = 2.0               # Domain length in meters\n",
     "t_end = 1.0           # End time (dimensionless)\n",
-    "ntime = 2            # Number of time steps\n",
-    "dt = t_end / ntime    # Time step size\n",
+    "dt = .01             # Time step for first simulation\n",
     "\n",
     "# Model Parameters\n",
     "x1 = 1\n",
@@ -65,43 +55,31 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "global TIMEINDEX"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 53,
    "metadata": {},
    "outputs": [],
    "source": [
     "# Define the PDE residual\n",
-    "def pde(vars, theta):\n",
-    "    # lhs\n",
-    "    model_old = models[TIMEINDEX]\n",
-    "    model = models[TIMEINDEX-1]\n",
+    "def pde_init(vars, theta):\n",
     "    # x_coords = np.linspace(x0, x1, 100).reshape(-1,1)\n",
     "    lhs = (\n",
     "        rho_star(theta, delta_T=delta_T, T_REF=T_REF, rho_ref=rho_ref) \n",
     "        * c_p_star(theta, delta_T=delta_T, T_REF=T_REF, c_p_ref=c_p_ref) \n",
-    "        * tf.Tensor((model_old.predict(x_coords)) - tf.Tensor(model.predict(x_coords))) / dt\n",
+    "        * (theta - 0) / dt\n",
     "    )\n",
     "\n",
     "    # rhs\n",
     "    rhs = dde.grad.jacobian(\n",
     "        (lambda_star(theta, delta_T=delta_T, T_REF=T_REF, lambda_ref=lambda_ref) * dde.grad.jacobian(theta, vars, i=0, j=0) \n",
     "        ),\n",
-    "        x_coords, \n",
+    "        vars, \n",
     "        i=0, j=0\n",
     "    )\n",
     "    \n",
     "    # Dimensionless PDE Residual\n",
     "    return lhs - rhs\n",
     "\n",
-    "def pde_zero(vars, theta):\n",
+    "def pde(vars, theta):\n",
     "    # rhs as lhs will be zero\n",
     "    return  dde.grad.jacobian(\n",
     "        (lambda_star(theta, delta_T=delta_T, T_REF=T_REF, lambda_ref=lambda_ref) * dde.grad.jacobian(theta, vars, i=0, j=0) \n",
@@ -113,71 +91,71 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 54,
    "metadata": {},
    "outputs": [],
    "source": [
-    "def create_model(index):\n",
-    "    geom = dde.geometry.Interval(0., 1.)\n",
+    "geom = dde.geometry.Interval(0., 1.)\n",
     "\n",
-    "    # Initial and Boundary Conditions\n",
-    "    def boundary_left(x, on_boundary):\n",
-    "        return on_boundary and np.isclose(x[0], 0)\n",
-    "    def boundary_right(x, on_boundary):\n",
-    "        return on_boundary and np.isclose(x[0], 1)\n",
+    "# Initial and Boundary Conditions\n",
+    "def boundary_left(x, on_boundary):\n",
+    "    return on_boundary and np.isclose(x[0], 0)\n",
+    "def boundary_right(x, on_boundary):\n",
+    "    return on_boundary and np.isclose(x[0], 1)\n",
     "\n",
-    "    # BCS\n",
-    "    bc_left = dde.icbc.DirichletBC(\n",
-    "        geom, \n",
-    "        lambda x: 0,\n",
-    "        boundary_left\n",
-    "    )\n",
-    "    bc_right = dde.icbc.DirichletBC(\n",
-    "        geom, \n",
-    "        lambda x: 0 if index == 0 else 1,\n",
-    "        boundary_right\n",
-    "    )\n",
+    "# BCS\n",
+    "bc_left = dde.icbc.DirichletBC(\n",
+    "    geom, \n",
+    "    lambda x: 0,\n",
+    "    boundary_left\n",
+    ")\n",
+    "bc_right = dde.icbc.DirichletBC(\n",
+    "    geom, \n",
+    "    lambda x: 1,\n",
+    "    boundary_right\n",
+    ")\n",
     "\n",
-    "    # Collect All Boundary and Initial Conditions\n",
-    "    bcs = [bc_left, bc_right]\n",
+    "# Collect All Boundary and Initial Conditions\n",
+    "bcs = [bc_left, bc_right]\n",
     "\n",
-    "    data = dde.data.PDE(\n",
-    "        geom, \n",
-    "        pde if index != 0 else pde_zero, \n",
-    "        bcs, \n",
-    "        num_domain=64, \n",
-    "        num_boundary=2, \n",
-    "        # num_test=100\n",
-    "        num_test=None\n",
-    "    )\n",
+    "data = dde.data.PDE(\n",
+    "    geom, \n",
+    "    pde_init,\n",
+    "    bcs, \n",
+    "    num_domain=350, \n",
+    "    num_boundary=50, \n",
+    "    num_test=100,\n",
+    ")\n",
     "\n",
-    "    layer_size = [1] + [32] * 3 + [1]\n",
-    "    activation = \"tanh\"\n",
-    "    initializer = \"Glorot uniform\"\n",
-    "    net = dde.nn.FNN(\n",
-    "        layer_size, \n",
-    "        activation, \n",
-    "        initializer\n",
-    "    )\n",
+    "layer_size = [1] + [32] * 3 + [1]\n",
+    "activation = \"tanh\"\n",
+    "initializer = \"Glorot uniform\"\n",
+    "net = dde.nn.FNN(\n",
+    "    layer_size, \n",
+    "    activation, \n",
+    "    initializer\n",
+    ")\n",
     "\n",
-    "    model = dde.Model(\n",
-    "        data, \n",
-    "        net\n",
-    "    )\n",
+    "net.apply_output_transform(\n",
+    "    lambda x, y: x[:,0:1] + x[:, 0:1] * (1 - x[:, 0:1]) * y\n",
+    ")\n",
     "\n",
-    "    return model"
+    "model_init = dde.Model(\n",
+    "    data, \n",
+    "    net\n",
+    ")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 55,
    "metadata": {},
    "outputs": [],
    "source": [
     "data = dde.data.PDE(\n",
-    "        dde.geometry.Interval(0., 1.), \n",
+    "        geom, \n",
     "        pde, \n",
-    "        [], \n",
+    "        bcs, \n",
     "        num_domain=64, \n",
     "        num_boundary=2, \n",
     "        # num_test=100\n",
@@ -187,113 +165,276 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 56,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Compiling model...\n",
+      "'compile' took 0.000987 s\n",
+      "\n",
+      "Training model...\n",
+      "\n",
+      "WARNING:tensorflow:AutoGraph could not transform <function <lambda> at 0x311642700> and will run it as-is.\n",
+      "Cause: could not parse the source code of <function <lambda> at 0x311642700>: no matching AST found among candidates:\n",
+      "# coding=utf-8\n",
+      "lambda x, on: np.array([on_boundary(x[i], on[i]) for i in range(len(x))])\n",
+      "# coding=utf-8\n",
+      "lambda x, on: np.array([on_boundary1(x[i], on[i]) for i in range(len(x))])\n",
+      "# coding=utf-8\n",
+      "lambda x, on: np.array([on_boundary2(x[i], on[i]) for i in range(len(x))])\n",
+      "To silence this warning, decorate the function with @tf.autograph.experimental.do_not_convert\n",
+      "WARNING: AutoGraph could not transform <function <lambda> at 0x311642700> and will run it as-is.\n",
+      "Cause: could not parse the source code of <function <lambda> at 0x311642700>: no matching AST found among candidates:\n",
+      "# coding=utf-8\n",
+      "lambda x, on: np.array([on_boundary(x[i], on[i]) for i in range(len(x))])\n",
+      "# coding=utf-8\n",
+      "lambda x, on: np.array([on_boundary1(x[i], on[i]) for i in range(len(x))])\n",
+      "# coding=utf-8\n",
+      "lambda x, on: np.array([on_boundary2(x[i], on[i]) for i in range(len(x))])\n",
+      "To silence this warning, decorate the function with @tf.autograph.experimental.do_not_convert\n",
+      "WARNING:tensorflow:AutoGraph could not transform <function <lambda> at 0x315c7c040> and will run it as-is.\n",
+      "Cause: could not parse the source code of <function <lambda> at 0x315c7c040>: no matching AST found among candidates:\n",
+      "# coding=utf-8\n",
+      "lambda x, on: np.array([on_boundary(x[i], on[i]) for i in range(len(x))])\n",
+      "# coding=utf-8\n",
+      "lambda x, on: np.array([on_boundary1(x[i], on[i]) for i in range(len(x))])\n",
+      "# coding=utf-8\n",
+      "lambda x, on: np.array([on_boundary2(x[i], on[i]) for i in range(len(x))])\n",
+      "To silence this warning, decorate the function with @tf.autograph.experimental.do_not_convert\n",
+      "WARNING: AutoGraph could not transform <function <lambda> at 0x315c7c040> and will run it as-is.\n",
+      "Cause: could not parse the source code of <function <lambda> at 0x315c7c040>: no matching AST found among candidates:\n",
+      "# coding=utf-8\n",
+      "lambda x, on: np.array([on_boundary(x[i], on[i]) for i in range(len(x))])\n",
+      "# coding=utf-8\n",
+      "lambda x, on: np.array([on_boundary1(x[i], on[i]) for i in range(len(x))])\n",
+      "# coding=utf-8\n",
+      "lambda x, on: np.array([on_boundary2(x[i], on[i]) for i in range(len(x))])\n",
+      "To silence this warning, decorate the function with @tf.autograph.experimental.do_not_convert\n",
+      "Step      Train loss                        Test loss                         Test metric\n",
+      "0         [9.49e+03, 0.00e+00, 0.00e+00]    [8.67e+03, 0.00e+00, 0.00e+00]    []  \n",
+      "1000      [3.89e+01, 0.00e+00, 0.00e+00]    [3.33e+01, 0.00e+00, 0.00e+00]    []  \n",
+      "2000      [1.53e-01, 0.00e+00, 0.00e+00]    [4.57e-02, 0.00e+00, 0.00e+00]    []  \n",
+      "3000      [5.18e-02, 0.00e+00, 0.00e+00]    [1.85e-02, 0.00e+00, 0.00e+00]    []  \n",
+      "4000      [1.47e-01, 0.00e+00, 0.00e+00]    [5.95e-02, 0.00e+00, 0.00e+00]    []  \n",
+      "5000      [1.53e-02, 0.00e+00, 0.00e+00]    [5.04e-03, 0.00e+00, 0.00e+00]    []  \n",
+      "6000      [2.75e-02, 0.00e+00, 0.00e+00]    [1.49e-02, 0.00e+00, 0.00e+00]    []  \n",
+      "7000      [2.58e-02, 0.00e+00, 0.00e+00]    [6.55e-03, 0.00e+00, 0.00e+00]    []  \n",
+      "8000      [1.61e-02, 0.00e+00, 0.00e+00]    [4.43e-03, 0.00e+00, 0.00e+00]    []  \n",
+      "9000      [1.94e-01, 0.00e+00, 0.00e+00]    [5.37e-02, 0.00e+00, 0.00e+00]    []  \n",
+      "10000     [1.67e-01, 0.00e+00, 0.00e+00]    [4.93e-02, 0.00e+00, 0.00e+00]    []  \n",
+      "\n",
+      "Best model at step 5000:\n",
+      "  train loss: 1.53e-02\n",
+      "  test loss: 5.04e-03\n",
+      "  test metric: []\n",
+      "\n",
+      "'train' took 11.397938 s\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "model_init.compile(\n",
+    "    optimizer='adam', \n",
+    "    lr=1e-3,\n",
+    ")\n",
+    "losshistory, train_state = model_init.train(\n",
+    "    iterations = 10_000,\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 57,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "dde.saveplot(losshistory, train_state, issave=False, isplot=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 58,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "x_init = np.linspace(0, 1, 100).reshape(-1, 1)\n",
+    "y_init = model_init.predict(x_init)\n",
+    "\n",
+    "# # Plot the initial condition\n",
+    "# plt.figure()\n",
+    "# plt.plot(x_init, y_init, label='Initial Condition')\n",
+    "# plt.xlabel('x')\n",
+    "# plt.ylabel('θ')\n",
+    "# plt.legend()\n",
+    "# plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 59,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "geom = dde.geometry.Interval(0, 1)\n",
+    "timedomain = dde.geometry.TimeDomain(dt, 1)\n",
+    "geomtime = dde.geometry.GeometryXTime(geom, timedomain)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 60,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "(array([], shape=(0, 1), dtype=float32),\n",
-       " array([[0.       ],\n",
-       "        [1.       ],\n",
-       "        [0.5      ],\n",
-       "        [0.25     ],\n",
-       "        [0.75     ],\n",
-       "        [0.125    ],\n",
-       "        [0.625    ],\n",
-       "        [0.375    ],\n",
-       "        [0.875    ],\n",
-       "        [0.0625   ],\n",
-       "        [0.5625   ],\n",
-       "        [0.3125   ],\n",
-       "        [0.8125   ],\n",
-       "        [0.1875   ],\n",
-       "        [0.6875   ],\n",
-       "        [0.4375   ],\n",
-       "        [0.9375   ],\n",
-       "        [0.03125  ],\n",
-       "        [0.53125  ],\n",
-       "        [0.28125  ],\n",
-       "        [0.78125  ],\n",
-       "        [0.15625  ],\n",
-       "        [0.65625  ],\n",
-       "        [0.40625  ],\n",
-       "        [0.90625  ],\n",
-       "        [0.09375  ],\n",
-       "        [0.59375  ],\n",
-       "        [0.34375  ],\n",
-       "        [0.84375  ],\n",
-       "        [0.21875  ],\n",
-       "        [0.71875  ],\n",
-       "        [0.46875  ],\n",
-       "        [0.96875  ],\n",
-       "        [0.015625 ],\n",
-       "        [0.515625 ],\n",
-       "        [0.265625 ],\n",
-       "        [0.765625 ],\n",
-       "        [0.140625 ],\n",
-       "        [0.640625 ],\n",
-       "        [0.390625 ],\n",
-       "        [0.890625 ],\n",
-       "        [0.078125 ],\n",
-       "        [0.578125 ],\n",
-       "        [0.328125 ],\n",
-       "        [0.828125 ],\n",
-       "        [0.203125 ],\n",
-       "        [0.703125 ],\n",
-       "        [0.453125 ],\n",
-       "        [0.953125 ],\n",
-       "        [0.046875 ],\n",
-       "        [0.546875 ],\n",
-       "        [0.296875 ],\n",
-       "        [0.796875 ],\n",
-       "        [0.171875 ],\n",
-       "        [0.671875 ],\n",
-       "        [0.421875 ],\n",
-       "        [0.921875 ],\n",
-       "        [0.109375 ],\n",
-       "        [0.609375 ],\n",
-       "        [0.359375 ],\n",
-       "        [0.859375 ],\n",
-       "        [0.234375 ],\n",
-       "        [0.734375 ],\n",
-       "        [0.484375 ],\n",
-       "        [0.984375 ],\n",
-       "        [0.0078125]], dtype=float32))"
+       "((100, 1), (100, 1))"
       ]
      },
-     "execution_count": 12,
+     "execution_count": 60,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "data.bc_points(), data.train_points()"
+    "x_init.shape, model_init.predict(x_init).shape"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 61,
    "metadata": {},
    "outputs": [],
    "source": [
-    "global models\n",
-    "models = [create_model(i) for i in range(ntime)]"
+    "# Define boundaries\n",
+    "def boundary_left(x, on_boundary):\n",
+    "    return on_boundary and np.isclose(x[0], 0)\n",
+    "def boundary_right(x, on_boundary):\n",
+    "    return on_boundary and np.isclose(x[0], 1)\n",
+    "\n",
+    "# BCS\n",
+    "bc_left = dde.icbc.DirichletBC(\n",
+    "    geomtime, \n",
+    "    lambda x: 0, \n",
+    "    boundary_left)\n",
+    "bc_right = dde.icbc.DirichletBC(\n",
+    "    geomtime, \n",
+    "    lambda x: 1,\n",
+    "    boundary_right)\n",
+    "\n",
+    "# IC\n",
+    "init_fc = interp1d(x_init.reshape(-1), model_init.predict(x_init).reshape(-1))\n",
+    "ic = dde.icbc.IC(\n",
+    "    geomtime, \n",
+    "    lambda x: init_fc(x[:,0:1]),\n",
+    "    lambda _, on_initial: on_initial\n",
+    ")\n",
+    "\n",
+    "# Collect All Boundary and Initial Conditions\n",
+    "bcs = [bc_left, bc_right, ic]"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 62,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure()\n",
+    "plt.plot(x_init, model_init.predict(x_init), label='Initial Condition')\n",
+    "plt.xlabel('x')\n",
+    "plt.ylabel('θ')\n",
+    "plt.legend()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 63,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Warning: 200 points required, but 210 points sampled.\n"
+     ]
+    }
+   ],
+   "source": [
+    "data = dde.data.TimePDE(\n",
+    "    geomtime, \n",
+    "    pde, \n",
+    "    bcs, \n",
+    "    num_domain=350*4, \n",
+    "    num_boundary=50,\n",
+    "    num_initial=100,\n",
+    "    num_test=200\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 64,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "layer_size = [2] + [75] * 5 + [1]\n",
+    "activation = \"swish\"\n",
+    "initializer = \"Glorot uniform\"\n",
+    "net = dde.nn.FNN(layer_size, activation, initializer)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 65,
    "metadata": {},
    "outputs": [],
    "source": [
-    "model = models[0]\n",
-    "model."
+    "# net.apply_output_transform(\n",
+    "#     lambda x, y: x[:,0:1] + x[:, 0:1] * (1 - x[:, 0:1]) * y\n",
+    "# )"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 66,
    "metadata": {},
    "outputs": [
     {
@@ -301,13 +442,12 @@
      "output_type": "stream",
      "text": [
       "Compiling model...\n",
-      "'compile' took 0.009999 s\n",
+      "'compile' took 0.001441 s\n",
       "\n",
-      "Warning: epochs is deprecated and will be removed in a future version. Use iterations instead.\n",
       "Training model...\n",
       "\n",
-      "WARNING:tensorflow:AutoGraph could not transform <function create_model.<locals>.<lambda> at 0x177023880> and will run it as-is.\n",
-      "Cause: could not parse the source code of <function create_model.<locals>.<lambda> at 0x177023880>: no matching AST found among candidates:\n",
+      "WARNING:tensorflow:AutoGraph could not transform <function <lambda> at 0x35334e480> and will run it as-is.\n",
+      "Cause: could not parse the source code of <function <lambda> at 0x35334e480>: no matching AST found among candidates:\n",
       "# coding=utf-8\n",
       "lambda x, on: np.array([on_boundary(x[i], on[i]) for i in range(len(x))])\n",
       "# coding=utf-8\n",
@@ -315,8 +455,8 @@
       "# coding=utf-8\n",
       "lambda x, on: np.array([on_boundary2(x[i], on[i]) for i in range(len(x))])\n",
       "To silence this warning, decorate the function with @tf.autograph.experimental.do_not_convert\n",
-      "WARNING: AutoGraph could not transform <function create_model.<locals>.<lambda> at 0x177023880> and will run it as-is.\n",
-      "Cause: could not parse the source code of <function create_model.<locals>.<lambda> at 0x177023880>: no matching AST found among candidates:\n",
+      "WARNING: AutoGraph could not transform <function <lambda> at 0x35334e480> and will run it as-is.\n",
+      "Cause: could not parse the source code of <function <lambda> at 0x35334e480>: no matching AST found among candidates:\n",
       "# coding=utf-8\n",
       "lambda x, on: np.array([on_boundary(x[i], on[i]) for i in range(len(x))])\n",
       "# coding=utf-8\n",
@@ -324,8 +464,8 @@
       "# coding=utf-8\n",
       "lambda x, on: np.array([on_boundary2(x[i], on[i]) for i in range(len(x))])\n",
       "To silence this warning, decorate the function with @tf.autograph.experimental.do_not_convert\n",
-      "WARNING:tensorflow:AutoGraph could not transform <function create_model.<locals>.<lambda> at 0x177023b00> and will run it as-is.\n",
-      "Cause: could not parse the source code of <function create_model.<locals>.<lambda> at 0x177023b00>: no matching AST found among candidates:\n",
+      "WARNING:tensorflow:AutoGraph could not transform <function <lambda> at 0x35334e200> and will run it as-is.\n",
+      "Cause: could not parse the source code of <function <lambda> at 0x35334e200>: no matching AST found among candidates:\n",
       "# coding=utf-8\n",
       "lambda x, on: np.array([on_boundary(x[i], on[i]) for i in range(len(x))])\n",
       "# coding=utf-8\n",
@@ -333,8 +473,8 @@
       "# coding=utf-8\n",
       "lambda x, on: np.array([on_boundary2(x[i], on[i]) for i in range(len(x))])\n",
       "To silence this warning, decorate the function with @tf.autograph.experimental.do_not_convert\n",
-      "WARNING: AutoGraph could not transform <function create_model.<locals>.<lambda> at 0x177023b00> and will run it as-is.\n",
-      "Cause: could not parse the source code of <function create_model.<locals>.<lambda> at 0x177023b00>: no matching AST found among candidates:\n",
+      "WARNING: AutoGraph could not transform <function <lambda> at 0x35334e200> and will run it as-is.\n",
+      "Cause: could not parse the source code of <function <lambda> at 0x35334e200>: no matching AST found among candidates:\n",
       "# coding=utf-8\n",
       "lambda x, on: np.array([on_boundary(x[i], on[i]) for i in range(len(x))])\n",
       "# coding=utf-8\n",
@@ -342,187 +482,112 @@
       "# coding=utf-8\n",
       "lambda x, on: np.array([on_boundary2(x[i], on[i]) for i in range(len(x))])\n",
       "To silence this warning, decorate the function with @tf.autograph.experimental.do_not_convert\n",
-      "Step      Train loss                        Test loss                         Test metric\n",
-      "0         [1.36e-02, 0.00e+00, 1.25e-02]    [1.36e-02, 0.00e+00, 1.25e-02]    []  \n",
-      "1000      [1.27e-08, 5.08e-15, 9.56e-13]    [1.27e-08, 5.08e-15, 9.56e-13]    []  \n",
+      "WARNING:tensorflow:AutoGraph could not transform <function <lambda> at 0x35334e0c0> and will run it as-is.\n",
+      "Cause: could not parse the source code of <function <lambda> at 0x35334e0c0>: no matching AST found among candidates:\n",
+      "# coding=utf-8\n",
+      "lambda x, on: np.array([on_boundary(x[i], on[i]) for i in range(len(x))])\n",
+      "# coding=utf-8\n",
+      "lambda x, on: np.array([on_boundary1(x[i], on[i]) for i in range(len(x))])\n",
+      "# coding=utf-8\n",
+      "lambda x, on: np.array([on_boundary2(x[i], on[i]) for i in range(len(x))])\n",
+      "To silence this warning, decorate the function with @tf.autograph.experimental.do_not_convert\n",
+      "WARNING: AutoGraph could not transform <function <lambda> at 0x35334e0c0> and will run it as-is.\n",
+      "Cause: could not parse the source code of <function <lambda> at 0x35334e0c0>: no matching AST found among candidates:\n",
+      "# coding=utf-8\n",
+      "lambda x, on: np.array([on_boundary(x[i], on[i]) for i in range(len(x))])\n",
+      "# coding=utf-8\n",
+      "lambda x, on: np.array([on_boundary1(x[i], on[i]) for i in range(len(x))])\n",
+      "# coding=utf-8\n",
+      "lambda x, on: np.array([on_boundary2(x[i], on[i]) for i in range(len(x))])\n",
+      "To silence this warning, decorate the function with @tf.autograph.experimental.do_not_convert\n",
+      "Step      Train loss                                  Test loss                                   Test metric\n",
+      "0         [9.43e-06, 4.69e-06, 9.98e-01, 2.45e-02]    [9.58e-06, 4.69e-06, 9.98e-01, 2.45e-02]    []  \n",
+      "1000      [3.23e-04, 2.43e-04, 1.62e-04, 1.14e-02]    [5.83e-05, 2.43e-04, 1.62e-04, 1.14e-02]    []  \n",
+      "2000      [3.95e-04, 4.36e-05, 3.08e-05, 1.14e-02]    [1.33e-05, 4.36e-05, 3.08e-05, 1.14e-02]    []  \n",
+      "3000      [2.01e-04, 3.02e-05, 1.63e-05, 1.13e-02]    [7.51e-06, 3.02e-05, 1.63e-05, 1.13e-02]    []  \n",
+      "4000      [2.07e-04, 2.56e-05, 7.35e-06, 1.12e-02]    [4.56e-06, 2.56e-05, 7.35e-06, 1.12e-02]    []  \n",
+      "5000      [4.00e-04, 6.67e-05, 2.20e-04, 1.15e-02]    [3.13e-06, 6.67e-05, 2.20e-04, 1.15e-02]    []  \n",
       "\n",
-      "Best model at step 1000:\n",
-      "  train loss: 1.27e-08\n",
-      "  test loss: 1.27e-08\n",
+      "Best model at step 4000:\n",
+      "  train loss: 1.15e-02\n",
+      "  test loss: 1.13e-02\n",
       "  test metric: []\n",
       "\n",
-      "'train' took 1.459092 s\n",
-      "\n",
-      "Compiling model...\n",
-      "'compile' took 0.000926 s\n",
-      "\n",
-      "Warning: epochs is deprecated and will be removed in a future version. Use iterations instead.\n",
-      "Training model...\n",
+      "'train' took 93.877965 s\n",
       "\n"
      ]
+    }
+   ],
+   "source": [
+    "model = dde.Model(data, net)\n",
+    "model.compile(\"adam\", lr=0.001)#, metrics=[\"l2 relative error\"])\n",
+    "losshistory, train_state = model.train(\n",
+    "    iterations=5_000,\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 67,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
     },
     {
-     "ename": "AttributeError",
-     "evalue": "in user code:\n\n    File \"/opt/homebrew/Caskroom/miniconda/base/envs/IceMelting2/lib/python3.11/site-packages/deepxde/model.py\", line 230, in outputs_losses_train  *\n        True, inputs, targets, auxiliary_vars, self.data.losses_train\n    File \"/opt/homebrew/Caskroom/miniconda/base/envs/IceMelting2/lib/python3.11/site-packages/deepxde/model.py\", line 215, in outputs_losses  *\n        losses = losses_fn(targets, outputs_, loss_fn, inputs, self, aux=aux)\n    File \"/opt/homebrew/Caskroom/miniconda/base/envs/IceMelting2/lib/python3.11/site-packages/deepxde/data/data.py\", line 13, in losses_train  *\n        return self.losses(targets, outputs, loss_fn, inputs, model, aux=aux)\n    File \"/opt/homebrew/Caskroom/miniconda/base/envs/IceMelting2/lib/python3.11/site-packages/deepxde/data/pde.py\", line 149, in losses  *\n        f = self.pde(inputs, outputs_pde)\n    File \"/var/folders/v_/5q1gkdc53z34pdsfnpkx2t340000gn/T/ipykernel_15866/3218836906.py\", line 7, in pde  *\n        lhs = (\n    File \"/opt/homebrew/Caskroom/miniconda/base/envs/IceMelting2/lib/python3.11/site-packages/deepxde/model.py\", line 897, in predict  *\n        y = self._outputs(False, x)\n    File \"/opt/homebrew/Caskroom/miniconda/base/envs/IceMelting2/lib/python3.11/site-packages/deepxde/model.py\", line 537, in _outputs  *\n        return utils.to_numpy(outs)\n    File \"/opt/homebrew/Caskroom/miniconda/base/envs/IceMelting2/lib/python3.11/site-packages/deepxde/utils/internal.py\", line 103, in to_numpy  *\n        return bkd.to_numpy(tensors)\n    File \"/opt/homebrew/Caskroom/miniconda/base/envs/IceMelting2/lib/python3.11/site-packages/deepxde/backend/tensorflow/tensor.py\", line 75, in to_numpy  *\n        return input_tensor.numpy()\n\n    AttributeError: 'SymbolicTensor' object has no attribute 'numpy'\n",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
-      "Cell \u001b[0;32mIn[8], line 4\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m model \u001b[38;5;129;01min\u001b[39;00m models:\n\u001b[1;32m      3\u001b[0m     model\u001b[38;5;241m.\u001b[39mcompile(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124madam\u001b[39m\u001b[38;5;124m\"\u001b[39m, lr\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m0.001\u001b[39m)\n\u001b[0;32m----> 4\u001b[0m     \u001b[43mmodel\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mtrain\u001b[49m\u001b[43m(\u001b[49m\u001b[43mepochs\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m1_000\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[1;32m      5\u001b[0m     TIMEINDEX \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[38;5;241m1\u001b[39m\n",
-      "File \u001b[0;32m/opt/homebrew/Caskroom/miniconda/base/envs/IceMelting2/lib/python3.11/site-packages/deepxde/utils/internal.py:22\u001b[0m, in \u001b[0;36mtiming.<locals>.wrapper\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m     19\u001b[0m \u001b[38;5;129m@wraps\u001b[39m(f)\n\u001b[1;32m     20\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mwrapper\u001b[39m(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[1;32m     21\u001b[0m     ts \u001b[38;5;241m=\u001b[39m timeit\u001b[38;5;241m.\u001b[39mdefault_timer()\n\u001b[0;32m---> 22\u001b[0m     result \u001b[38;5;241m=\u001b[39m \u001b[43mf\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     23\u001b[0m     te \u001b[38;5;241m=\u001b[39m timeit\u001b[38;5;241m.\u001b[39mdefault_timer()\n\u001b[1;32m     24\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m config\u001b[38;5;241m.\u001b[39mrank \u001b[38;5;241m==\u001b[39m \u001b[38;5;241m0\u001b[39m:\n",
-      "File \u001b[0;32m/opt/homebrew/Caskroom/miniconda/base/envs/IceMelting2/lib/python3.11/site-packages/deepxde/model.py:643\u001b[0m, in \u001b[0;36mModel.train\u001b[0;34m(self, iterations, batch_size, display_every, disregard_previous_best, callbacks, model_restore_path, model_save_path, epochs)\u001b[0m\n\u001b[1;32m    641\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mtrain_state\u001b[38;5;241m.\u001b[39mset_data_train(\u001b[38;5;241m*\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdata\u001b[38;5;241m.\u001b[39mtrain_next_batch(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mbatch_size))\n\u001b[1;32m    642\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mtrain_state\u001b[38;5;241m.\u001b[39mset_data_test(\u001b[38;5;241m*\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdata\u001b[38;5;241m.\u001b[39mtest())\n\u001b[0;32m--> 643\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_test\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    644\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mcallbacks\u001b[38;5;241m.\u001b[39mon_train_begin()\n\u001b[1;32m    645\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m optimizers\u001b[38;5;241m.\u001b[39mis_external_optimizer(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mopt_name):\n",
-      "File \u001b[0;32m/opt/homebrew/Caskroom/miniconda/base/envs/IceMelting2/lib/python3.11/site-packages/deepxde/model.py:832\u001b[0m, in \u001b[0;36mModel._test\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    827\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_test\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[1;32m    828\u001b[0m     \u001b[38;5;66;03m# TODO Now only print the training loss in rank 0. The correct way is to print the average training loss of all ranks.\u001b[39;00m\n\u001b[1;32m    829\u001b[0m     (\n\u001b[1;32m    830\u001b[0m         \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mtrain_state\u001b[38;5;241m.\u001b[39my_pred_train,\n\u001b[1;32m    831\u001b[0m         \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mtrain_state\u001b[38;5;241m.\u001b[39mloss_train,\n\u001b[0;32m--> 832\u001b[0m     ) \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_outputs_losses\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m    833\u001b[0m \u001b[43m        \u001b[49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[1;32m    834\u001b[0m \u001b[43m        \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mtrain_state\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mX_train\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    835\u001b[0m \u001b[43m        \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mtrain_state\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43my_train\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    836\u001b[0m \u001b[43m        \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mtrain_state\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mtrain_aux_vars\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    837\u001b[0m \u001b[43m    \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    838\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mtrain_state\u001b[38;5;241m.\u001b[39my_pred_test, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mtrain_state\u001b[38;5;241m.\u001b[39mloss_test \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_outputs_losses(\n\u001b[1;32m    839\u001b[0m         \u001b[38;5;28;01mFalse\u001b[39;00m,\n\u001b[1;32m    840\u001b[0m         \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mtrain_state\u001b[38;5;241m.\u001b[39mX_test,\n\u001b[1;32m    841\u001b[0m         \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mtrain_state\u001b[38;5;241m.\u001b[39my_test,\n\u001b[1;32m    842\u001b[0m         \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mtrain_state\u001b[38;5;241m.\u001b[39mtest_aux_vars,\n\u001b[1;32m    843\u001b[0m     )\n\u001b[1;32m    845\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mtrain_state\u001b[38;5;241m.\u001b[39my_test, (\u001b[38;5;28mlist\u001b[39m, \u001b[38;5;28mtuple\u001b[39m)):\n",
-      "File \u001b[0;32m/opt/homebrew/Caskroom/miniconda/base/envs/IceMelting2/lib/python3.11/site-packages/deepxde/model.py:548\u001b[0m, in \u001b[0;36mModel._outputs_losses\u001b[0;34m(self, training, inputs, targets, auxiliary_vars)\u001b[0m\n\u001b[1;32m    546\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39msess\u001b[38;5;241m.\u001b[39mrun(outputs_losses, feed_dict\u001b[38;5;241m=\u001b[39mfeed_dict)\n\u001b[1;32m    547\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m backend_name \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mtensorflow\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n\u001b[0;32m--> 548\u001b[0m     outs \u001b[38;5;241m=\u001b[39m \u001b[43moutputs_losses\u001b[49m\u001b[43m(\u001b[49m\u001b[43minputs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtargets\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mauxiliary_vars\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    549\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m backend_name \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mpytorch\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n\u001b[1;32m    550\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mnet\u001b[38;5;241m.\u001b[39mrequires_grad_(requires_grad\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m)\n",
-      "File \u001b[0;32m/opt/homebrew/Caskroom/miniconda/base/envs/IceMelting2/lib/python3.11/site-packages/tensorflow/python/util/traceback_utils.py:153\u001b[0m, in \u001b[0;36mfilter_traceback.<locals>.error_handler\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m    151\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mException\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[1;32m    152\u001b[0m   filtered_tb \u001b[38;5;241m=\u001b[39m _process_traceback_frames(e\u001b[38;5;241m.\u001b[39m__traceback__)\n\u001b[0;32m--> 153\u001b[0m   \u001b[38;5;28;01mraise\u001b[39;00m e\u001b[38;5;241m.\u001b[39mwith_traceback(filtered_tb) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m    154\u001b[0m \u001b[38;5;28;01mfinally\u001b[39;00m:\n\u001b[1;32m    155\u001b[0m   \u001b[38;5;28;01mdel\u001b[39;00m filtered_tb\n",
-      "File \u001b[0;32m/var/folders/v_/5q1gkdc53z34pdsfnpkx2t340000gn/T/__autograph_generated_filephff8850.py:14\u001b[0m, in \u001b[0;36mouter_factory.<locals>.inner_factory.<locals>.tf__outputs_losses_train\u001b[0;34m(inputs, targets, auxiliary_vars)\u001b[0m\n\u001b[1;32m     12\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m     13\u001b[0m     do_return \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mTrue\u001b[39;00m\n\u001b[0;32m---> 14\u001b[0m     retval_ \u001b[38;5;241m=\u001b[39m ag__\u001b[38;5;241m.\u001b[39mconverted_call(ag__\u001b[38;5;241m.\u001b[39mld(outputs_losses), (\u001b[38;5;28;01mTrue\u001b[39;00m, ag__\u001b[38;5;241m.\u001b[39mld(inputs), ag__\u001b[38;5;241m.\u001b[39mld(targets), ag__\u001b[38;5;241m.\u001b[39mld(auxiliary_vars), ag__\u001b[38;5;241m.\u001b[39mld(\u001b[38;5;28mself\u001b[39m)\u001b[38;5;241m.\u001b[39mdata\u001b[38;5;241m.\u001b[39mlosses_train), \u001b[38;5;28;01mNone\u001b[39;00m, fscope)\n\u001b[1;32m     15\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m:\n\u001b[1;32m     16\u001b[0m     do_return \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mFalse\u001b[39;00m\n",
-      "File \u001b[0;32m/var/folders/v_/5q1gkdc53z34pdsfnpkx2t340000gn/T/__autograph_generated_fileb7vt1rc6.py:15\u001b[0m, in \u001b[0;36mouter_factory.<locals>.inner_factory.<locals>.tf__outputs_losses\u001b[0;34m(training, inputs, targets, auxiliary_vars, losses_fn)\u001b[0m\n\u001b[1;32m     13\u001b[0m outputs_ \u001b[38;5;241m=\u001b[39m ag__\u001b[38;5;241m.\u001b[39mconverted_call(ag__\u001b[38;5;241m.\u001b[39mld(\u001b[38;5;28mself\u001b[39m)\u001b[38;5;241m.\u001b[39mnet, (ag__\u001b[38;5;241m.\u001b[39mld(inputs),), \u001b[38;5;28mdict\u001b[39m(training\u001b[38;5;241m=\u001b[39mag__\u001b[38;5;241m.\u001b[39mld(training)), fscope)\n\u001b[1;32m     14\u001b[0m aux \u001b[38;5;241m=\u001b[39m ag__\u001b[38;5;241m.\u001b[39mif_exp(ag__\u001b[38;5;241m.\u001b[39mld(config)\u001b[38;5;241m.\u001b[39mautodiff \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mforward\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;28;01mlambda\u001b[39;00m: [ag__\u001b[38;5;241m.\u001b[39mld(\u001b[38;5;28mself\u001b[39m)\u001b[38;5;241m.\u001b[39mnet], \u001b[38;5;28;01mlambda\u001b[39;00m: \u001b[38;5;28;01mNone\u001b[39;00m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mconfig.autodiff == \u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mforward\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m---> 15\u001b[0m losses \u001b[38;5;241m=\u001b[39m \u001b[43mag__\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mconverted_call\u001b[49m\u001b[43m(\u001b[49m\u001b[43mag__\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mld\u001b[49m\u001b[43m(\u001b[49m\u001b[43mlosses_fn\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m(\u001b[49m\u001b[43mag__\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mld\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtargets\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mag__\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mld\u001b[49m\u001b[43m(\u001b[49m\u001b[43moutputs_\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mag__\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mld\u001b[49m\u001b[43m(\u001b[49m\u001b[43mloss_fn\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mag__\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mld\u001b[49m\u001b[43m(\u001b[49m\u001b[43minputs\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mag__\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mld\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mdict\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43maux\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mag__\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mld\u001b[49m\u001b[43m(\u001b[49m\u001b[43maux\u001b[49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mfscope\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     17\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mget_state\u001b[39m():\n\u001b[1;32m     18\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m (losses,)\n",
-      "File \u001b[0;32m/var/folders/v_/5q1gkdc53z34pdsfnpkx2t340000gn/T/__autograph_generated_file5ax06p2g.py:13\u001b[0m, in \u001b[0;36mouter_factory.<locals>.inner_factory.<locals>.tf__losses_train\u001b[0;34m(self, targets, outputs, loss_fn, inputs, model, aux)\u001b[0m\n\u001b[1;32m     11\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m     12\u001b[0m     do_return \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mTrue\u001b[39;00m\n\u001b[0;32m---> 13\u001b[0m     retval_ \u001b[38;5;241m=\u001b[39m ag__\u001b[38;5;241m.\u001b[39mconverted_call(ag__\u001b[38;5;241m.\u001b[39mld(\u001b[38;5;28mself\u001b[39m)\u001b[38;5;241m.\u001b[39mlosses, (ag__\u001b[38;5;241m.\u001b[39mld(targets), ag__\u001b[38;5;241m.\u001b[39mld(outputs), ag__\u001b[38;5;241m.\u001b[39mld(loss_fn), ag__\u001b[38;5;241m.\u001b[39mld(inputs), ag__\u001b[38;5;241m.\u001b[39mld(model)), \u001b[38;5;28mdict\u001b[39m(aux\u001b[38;5;241m=\u001b[39mag__\u001b[38;5;241m.\u001b[39mld(aux)), fscope)\n\u001b[1;32m     14\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m:\n\u001b[1;32m     15\u001b[0m     do_return \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mFalse\u001b[39;00m\n",
-      "File \u001b[0;32m/var/folders/v_/5q1gkdc53z34pdsfnpkx2t340000gn/T/__autograph_generated_file3mxynv74.py:183\u001b[0m, in \u001b[0;36mouter_factory.<locals>.inner_factory.<locals>.tf__losses\u001b[0;34m(self, targets, outputs, loss_fn, inputs, model, aux)\u001b[0m\n\u001b[1;32m    181\u001b[0m     \u001b[38;5;28;01mnonlocal\u001b[39;00m f\n\u001b[1;32m    182\u001b[0m     \u001b[38;5;28;01mpass\u001b[39;00m\n\u001b[0;32m--> 183\u001b[0m \u001b[43mag__\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mif_stmt\u001b[49m\u001b[43m(\u001b[49m\u001b[43mag__\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mld\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mpde\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01mis\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;129;43;01mnot\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mif_body_10\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43melse_body_10\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mget_state_10\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mset_state_10\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mf\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[1;32m    185\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mget_state_12\u001b[39m():\n\u001b[1;32m    186\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m (loss_fn,)\n",
-      "File \u001b[0;32m/var/folders/v_/5q1gkdc53z34pdsfnpkx2t340000gn/T/__autograph_generated_file3mxynv74.py:162\u001b[0m, in \u001b[0;36mouter_factory.<locals>.inner_factory.<locals>.tf__losses.<locals>.if_body_10\u001b[0;34m()\u001b[0m\n\u001b[1;32m    160\u001b[0m         \u001b[38;5;28;01mpass\u001b[39;00m\n\u001b[1;32m    161\u001b[0m     ag__\u001b[38;5;241m.\u001b[39mif_stmt(ag__\u001b[38;5;241m.\u001b[39mconverted_call(ag__\u001b[38;5;241m.\u001b[39mld(get_num_args), (ag__\u001b[38;5;241m.\u001b[39mld(\u001b[38;5;28mself\u001b[39m)\u001b[38;5;241m.\u001b[39mpde,), \u001b[38;5;28;01mNone\u001b[39;00m, fscope) \u001b[38;5;241m==\u001b[39m \u001b[38;5;241m3\u001b[39m, if_body_7, else_body_7, get_state_7, set_state_7, (\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m'\u001b[39m,), \u001b[38;5;241m1\u001b[39m)\n\u001b[0;32m--> 162\u001b[0m \u001b[43mag__\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mif_stmt\u001b[49m\u001b[43m(\u001b[49m\u001b[43mag__\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mconverted_call\u001b[49m\u001b[43m(\u001b[49m\u001b[43mag__\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mld\u001b[49m\u001b[43m(\u001b[49m\u001b[43mget_num_args\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m(\u001b[49m\u001b[43mag__\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mld\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mpde\u001b[49m\u001b[43m,\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mfscope\u001b[49m\u001b[43m)\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m==\u001b[39;49m\u001b[43m \u001b[49m\u001b[38;5;241;43m2\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mif_body_8\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43melse_body_8\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mget_state_8\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mset_state_8\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mf\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[1;32m    164\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mget_state_9\u001b[39m():\n\u001b[1;32m    165\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m (f,)\n",
-      "File \u001b[0;32m/var/folders/v_/5q1gkdc53z34pdsfnpkx2t340000gn/T/__autograph_generated_file3mxynv74.py:112\u001b[0m, in \u001b[0;36mouter_factory.<locals>.inner_factory.<locals>.tf__losses.<locals>.if_body_10.<locals>.if_body_8\u001b[0;34m()\u001b[0m\n\u001b[1;32m    110\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mif_body_8\u001b[39m():\n\u001b[1;32m    111\u001b[0m     \u001b[38;5;28;01mnonlocal\u001b[39;00m f\n\u001b[0;32m--> 112\u001b[0m     f \u001b[38;5;241m=\u001b[39m \u001b[43mag__\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mconverted_call\u001b[49m\u001b[43m(\u001b[49m\u001b[43mag__\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mld\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mpde\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m(\u001b[49m\u001b[43mag__\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mld\u001b[49m\u001b[43m(\u001b[49m\u001b[43minputs\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mag__\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mld\u001b[49m\u001b[43m(\u001b[49m\u001b[43moutputs_pde\u001b[49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mfscope\u001b[49m\u001b[43m)\u001b[49m\n",
-      "File \u001b[0;32m/var/folders/v_/5q1gkdc53z34pdsfnpkx2t340000gn/T/__autograph_generated_filekfhinrxh.py:13\u001b[0m, in \u001b[0;36mouter_factory.<locals>.inner_factory.<locals>.tf__pde\u001b[0;34m(vars, theta)\u001b[0m\n\u001b[1;32m     11\u001b[0m model \u001b[38;5;241m=\u001b[39m ag__\u001b[38;5;241m.\u001b[39mld(models)[ag__\u001b[38;5;241m.\u001b[39mld(TIMEINDEX) \u001b[38;5;241m-\u001b[39m \u001b[38;5;241m1\u001b[39m]\n\u001b[1;32m     12\u001b[0m x_coords \u001b[38;5;241m=\u001b[39m ag__\u001b[38;5;241m.\u001b[39mconverted_call(ag__\u001b[38;5;241m.\u001b[39mconverted_call(ag__\u001b[38;5;241m.\u001b[39mld(np)\u001b[38;5;241m.\u001b[39mlinspace, (ag__\u001b[38;5;241m.\u001b[39mld(x0), ag__\u001b[38;5;241m.\u001b[39mld(x1), \u001b[38;5;241m100\u001b[39m), \u001b[38;5;28;01mNone\u001b[39;00m, fscope)\u001b[38;5;241m.\u001b[39mreshape, (\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m, \u001b[38;5;241m1\u001b[39m), \u001b[38;5;28;01mNone\u001b[39;00m, fscope)\n\u001b[0;32m---> 13\u001b[0m lhs \u001b[38;5;241m=\u001b[39m ag__\u001b[38;5;241m.\u001b[39mconverted_call(ag__\u001b[38;5;241m.\u001b[39mld(rho_star), (ag__\u001b[38;5;241m.\u001b[39mld(theta),), \u001b[38;5;28mdict\u001b[39m(delta_T\u001b[38;5;241m=\u001b[39mag__\u001b[38;5;241m.\u001b[39mld(delta_T), T_REF\u001b[38;5;241m=\u001b[39mag__\u001b[38;5;241m.\u001b[39mld(T_REF), rho_ref\u001b[38;5;241m=\u001b[39mag__\u001b[38;5;241m.\u001b[39mld(rho_ref)), fscope) \u001b[38;5;241m*\u001b[39m ag__\u001b[38;5;241m.\u001b[39mconverted_call(ag__\u001b[38;5;241m.\u001b[39mld(c_p_star), (ag__\u001b[38;5;241m.\u001b[39mld(theta),), \u001b[38;5;28mdict\u001b[39m(delta_T\u001b[38;5;241m=\u001b[39mag__\u001b[38;5;241m.\u001b[39mld(delta_T), T_REF\u001b[38;5;241m=\u001b[39mag__\u001b[38;5;241m.\u001b[39mld(T_REF), c_p_ref\u001b[38;5;241m=\u001b[39mag__\u001b[38;5;241m.\u001b[39mld(c_p_ref)), fscope) \u001b[38;5;241m*\u001b[39m ag__\u001b[38;5;241m.\u001b[39mconverted_call(ag__\u001b[38;5;241m.\u001b[39mld(tf)\u001b[38;5;241m.\u001b[39mTensor, (\u001b[43mag__\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mconverted_call\u001b[49m\u001b[43m(\u001b[49m\u001b[43mag__\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mld\u001b[49m\u001b[43m(\u001b[49m\u001b[43mmodel_old\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mpredict\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m(\u001b[49m\u001b[43mag__\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mld\u001b[49m\u001b[43m(\u001b[49m\u001b[43mx_coords\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mfscope\u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;241m-\u001b[39m ag__\u001b[38;5;241m.\u001b[39mconverted_call(ag__\u001b[38;5;241m.\u001b[39mld(tf)\u001b[38;5;241m.\u001b[39mTensor, (ag__\u001b[38;5;241m.\u001b[39mconverted_call(ag__\u001b[38;5;241m.\u001b[39mld(model)\u001b[38;5;241m.\u001b[39mpredict, (ag__\u001b[38;5;241m.\u001b[39mld(x_coords),), \u001b[38;5;28;01mNone\u001b[39;00m, fscope),), \u001b[38;5;28;01mNone\u001b[39;00m, fscope),), \u001b[38;5;28;01mNone\u001b[39;00m, fscope) \u001b[38;5;241m/\u001b[39m ag__\u001b[38;5;241m.\u001b[39mld(dt)\n\u001b[1;32m     14\u001b[0m rhs \u001b[38;5;241m=\u001b[39m ag__\u001b[38;5;241m.\u001b[39mconverted_call(ag__\u001b[38;5;241m.\u001b[39mld(dde)\u001b[38;5;241m.\u001b[39mgrad\u001b[38;5;241m.\u001b[39mjacobian, (ag__\u001b[38;5;241m.\u001b[39mconverted_call(ag__\u001b[38;5;241m.\u001b[39mld(lambda_star), (ag__\u001b[38;5;241m.\u001b[39mld(theta),), \u001b[38;5;28mdict\u001b[39m(delta_T\u001b[38;5;241m=\u001b[39mag__\u001b[38;5;241m.\u001b[39mld(delta_T), T_REF\u001b[38;5;241m=\u001b[39mag__\u001b[38;5;241m.\u001b[39mld(T_REF), lambda_ref\u001b[38;5;241m=\u001b[39mag__\u001b[38;5;241m.\u001b[39mld(lambda_ref)), fscope) \u001b[38;5;241m*\u001b[39m ag__\u001b[38;5;241m.\u001b[39mconverted_call(ag__\u001b[38;5;241m.\u001b[39mld(dde)\u001b[38;5;241m.\u001b[39mgrad\u001b[38;5;241m.\u001b[39mjacobian, (ag__\u001b[38;5;241m.\u001b[39mld(theta), ag__\u001b[38;5;241m.\u001b[39mld(\u001b[38;5;28mvars\u001b[39m)), \u001b[38;5;28mdict\u001b[39m(i\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m0\u001b[39m, j\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m0\u001b[39m), fscope), ag__\u001b[38;5;241m.\u001b[39mld(x_coords)), \u001b[38;5;28mdict\u001b[39m(i\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m0\u001b[39m, j\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m0\u001b[39m), fscope)\n\u001b[1;32m     15\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n",
-      "File \u001b[0;32m/var/folders/v_/5q1gkdc53z34pdsfnpkx2t340000gn/T/__autograph_generated_fileruybdjlu.py:446\u001b[0m, in \u001b[0;36mouter_factory.<locals>.inner_factory.<locals>.tf__predict\u001b[0;34m(self, x, operator, callbacks)\u001b[0m\n\u001b[1;32m    444\u001b[0m aux_vars \u001b[38;5;241m=\u001b[39m ag__\u001b[38;5;241m.\u001b[39mUndefined(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124maux_vars\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m    445\u001b[0m inputs \u001b[38;5;241m=\u001b[39m ag__\u001b[38;5;241m.\u001b[39mUndefined(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124minputs\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m--> 446\u001b[0m \u001b[43mag__\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mif_stmt\u001b[49m\u001b[43m(\u001b[49m\u001b[43mag__\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mld\u001b[49m\u001b[43m(\u001b[49m\u001b[43moperator\u001b[49m\u001b[43m)\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01mis\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mif_body_20\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43melse_body_20\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mget_state_20\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mset_state_20\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43maux_vars\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mdo_return\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mretval_\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mfeed_dict\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mop\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43my\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m3\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[1;32m    447\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m fscope\u001b[38;5;241m.\u001b[39mret(retval_, do_return)\n",
-      "File \u001b[0;32m/var/folders/v_/5q1gkdc53z34pdsfnpkx2t340000gn/T/__autograph_generated_fileruybdjlu.py:53\u001b[0m, in \u001b[0;36mouter_factory.<locals>.inner_factory.<locals>.tf__predict.<locals>.if_body_20\u001b[0;34m()\u001b[0m\n\u001b[1;32m     51\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mif_body_20\u001b[39m():\n\u001b[1;32m     52\u001b[0m     \u001b[38;5;28;01mnonlocal\u001b[39;00m feed_dict, do_return, retval_, op, y, aux_vars\n\u001b[0;32m---> 53\u001b[0m     y \u001b[38;5;241m=\u001b[39m \u001b[43mag__\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mconverted_call\u001b[49m\u001b[43m(\u001b[49m\u001b[43mag__\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mld\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_outputs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mag__\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mld\u001b[49m\u001b[43m(\u001b[49m\u001b[43mx\u001b[49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mfscope\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     54\u001b[0m     ag__\u001b[38;5;241m.\u001b[39mconverted_call(ag__\u001b[38;5;241m.\u001b[39mld(callbacks)\u001b[38;5;241m.\u001b[39mon_predict_end, (), \u001b[38;5;28;01mNone\u001b[39;00m, fscope)\n\u001b[1;32m     55\u001b[0m     \u001b[38;5;28;01mtry\u001b[39;00m:\n",
-      "File \u001b[0;32m/var/folders/v_/5q1gkdc53z34pdsfnpkx2t340000gn/T/__autograph_generated_file64pjybb3.py:71\u001b[0m, in \u001b[0;36mouter_factory.<locals>.inner_factory.<locals>.tf___outputs\u001b[0;34m(self, training, inputs)\u001b[0m\n\u001b[1;32m     69\u001b[0m outs \u001b[38;5;241m=\u001b[39m ag__\u001b[38;5;241m.\u001b[39mUndefined(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mouts\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m     70\u001b[0m feed_dict \u001b[38;5;241m=\u001b[39m ag__\u001b[38;5;241m.\u001b[39mUndefined(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mfeed_dict\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m---> 71\u001b[0m \u001b[43mag__\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mif_stmt\u001b[49m\u001b[43m(\u001b[49m\u001b[43mag__\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mld\u001b[49m\u001b[43m(\u001b[49m\u001b[43mbackend_name\u001b[49m\u001b[43m)\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m==\u001b[39;49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mtensorflow.compat.v1\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mif_body_2\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43melse_body_2\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mget_state_2\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mset_state_2\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mdo_return\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mretval_\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mouts\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m2\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[1;32m     72\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m fscope\u001b[38;5;241m.\u001b[39mret(retval_, do_return)\n",
-      "File \u001b[0;32m/var/folders/v_/5q1gkdc53z34pdsfnpkx2t340000gn/T/__autograph_generated_file64pjybb3.py:65\u001b[0m, in \u001b[0;36mouter_factory.<locals>.inner_factory.<locals>.tf___outputs.<locals>.else_body_2\u001b[0;34m()\u001b[0m\n\u001b[1;32m     63\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m     64\u001b[0m     do_return \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mTrue\u001b[39;00m\n\u001b[0;32m---> 65\u001b[0m     retval_ \u001b[38;5;241m=\u001b[39m ag__\u001b[38;5;241m.\u001b[39mconverted_call(ag__\u001b[38;5;241m.\u001b[39mld(utils)\u001b[38;5;241m.\u001b[39mto_numpy, (ag__\u001b[38;5;241m.\u001b[39mld(outs),), \u001b[38;5;28;01mNone\u001b[39;00m, fscope)\n\u001b[1;32m     66\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m:\n\u001b[1;32m     67\u001b[0m     do_return \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mFalse\u001b[39;00m\n",
-      "File \u001b[0;32m/var/folders/v_/5q1gkdc53z34pdsfnpkx2t340000gn/T/__autograph_generated_file17knzf_y.py:43\u001b[0m, in \u001b[0;36mouter_factory.<locals>.inner_factory.<locals>.tf__to_numpy\u001b[0;34m(tensors)\u001b[0m\n\u001b[1;32m     41\u001b[0m         do_return \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mFalse\u001b[39;00m\n\u001b[1;32m     42\u001b[0m         \u001b[38;5;28;01mraise\u001b[39;00m\n\u001b[0;32m---> 43\u001b[0m \u001b[43mag__\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mif_stmt\u001b[49m\u001b[43m(\u001b[49m\u001b[43mag__\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mconverted_call\u001b[49m\u001b[43m(\u001b[49m\u001b[43mag__\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mld\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43misinstance\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m(\u001b[49m\u001b[43mag__\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mld\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtensors\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m(\u001b[49m\u001b[43mag__\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mld\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mlist\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mag__\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mld\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mtuple\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mfscope\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mif_body\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43melse_body\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mget_state\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mset_state\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mdo_return\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mretval_\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m2\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[1;32m     44\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m fscope\u001b[38;5;241m.\u001b[39mret(retval_, do_return)\n",
-      "File \u001b[0;32m/var/folders/v_/5q1gkdc53z34pdsfnpkx2t340000gn/T/__autograph_generated_file17knzf_y.py:39\u001b[0m, in \u001b[0;36mouter_factory.<locals>.inner_factory.<locals>.tf__to_numpy.<locals>.else_body\u001b[0;34m()\u001b[0m\n\u001b[1;32m     37\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m     38\u001b[0m     do_return \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mTrue\u001b[39;00m\n\u001b[0;32m---> 39\u001b[0m     retval_ \u001b[38;5;241m=\u001b[39m ag__\u001b[38;5;241m.\u001b[39mconverted_call(ag__\u001b[38;5;241m.\u001b[39mld(bkd)\u001b[38;5;241m.\u001b[39mto_numpy, (ag__\u001b[38;5;241m.\u001b[39mld(tensors),), \u001b[38;5;28;01mNone\u001b[39;00m, fscope)\n\u001b[1;32m     40\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m:\n\u001b[1;32m     41\u001b[0m     do_return \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mFalse\u001b[39;00m\n",
-      "File \u001b[0;32m/var/folders/v_/5q1gkdc53z34pdsfnpkx2t340000gn/T/__autograph_generated_fileyxvxy4zp.py:12\u001b[0m, in \u001b[0;36mouter_factory.<locals>.inner_factory.<locals>.tf__to_numpy\u001b[0;34m(input_tensor)\u001b[0m\n\u001b[1;32m     10\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m     11\u001b[0m     do_return \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mTrue\u001b[39;00m\n\u001b[0;32m---> 12\u001b[0m     retval_ \u001b[38;5;241m=\u001b[39m ag__\u001b[38;5;241m.\u001b[39mconverted_call(ag__\u001b[38;5;241m.\u001b[39mld(input_tensor)\u001b[38;5;241m.\u001b[39mnumpy, (), \u001b[38;5;28;01mNone\u001b[39;00m, fscope)\n\u001b[1;32m     13\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m:\n\u001b[1;32m     14\u001b[0m     do_return \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mFalse\u001b[39;00m\n",
-      "\u001b[0;31mAttributeError\u001b[0m: in user code:\n\n    File \"/opt/homebrew/Caskroom/miniconda/base/envs/IceMelting2/lib/python3.11/site-packages/deepxde/model.py\", line 230, in outputs_losses_train  *\n        True, inputs, targets, auxiliary_vars, self.data.losses_train\n    File \"/opt/homebrew/Caskroom/miniconda/base/envs/IceMelting2/lib/python3.11/site-packages/deepxde/model.py\", line 215, in outputs_losses  *\n        losses = losses_fn(targets, outputs_, loss_fn, inputs, self, aux=aux)\n    File \"/opt/homebrew/Caskroom/miniconda/base/envs/IceMelting2/lib/python3.11/site-packages/deepxde/data/data.py\", line 13, in losses_train  *\n        return self.losses(targets, outputs, loss_fn, inputs, model, aux=aux)\n    File \"/opt/homebrew/Caskroom/miniconda/base/envs/IceMelting2/lib/python3.11/site-packages/deepxde/data/pde.py\", line 149, in losses  *\n        f = self.pde(inputs, outputs_pde)\n    File \"/var/folders/v_/5q1gkdc53z34pdsfnpkx2t340000gn/T/ipykernel_15866/3218836906.py\", line 7, in pde  *\n        lhs = (\n    File \"/opt/homebrew/Caskroom/miniconda/base/envs/IceMelting2/lib/python3.11/site-packages/deepxde/model.py\", line 897, in predict  *\n        y = self._outputs(False, x)\n    File \"/opt/homebrew/Caskroom/miniconda/base/envs/IceMelting2/lib/python3.11/site-packages/deepxde/model.py\", line 537, in _outputs  *\n        return utils.to_numpy(outs)\n    File \"/opt/homebrew/Caskroom/miniconda/base/envs/IceMelting2/lib/python3.11/site-packages/deepxde/utils/internal.py\", line 103, in to_numpy  *\n        return bkd.to_numpy(tensors)\n    File \"/opt/homebrew/Caskroom/miniconda/base/envs/IceMelting2/lib/python3.11/site-packages/deepxde/backend/tensorflow/tensor.py\", line 75, in to_numpy  *\n        return input_tensor.numpy()\n\n    AttributeError: 'SymbolicTensor' object has no attribute 'numpy'\n"
-     ]
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
    "source": [
-    "TIMEINDEX = 0\n",
-    "for model in models:\n",
-    "    model.compile(\"adam\", lr=0.001)\n",
-    "    model.train(epochs=1_000)\n",
-    "    TIMEINDEX += 1"
+    "dde.saveplot(losshistory, train_state, issave=False, isplot=True)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 68,
    "metadata": {},
    "outputs": [
     {
-     "ename": "IndexError",
-     "evalue": "arrays used as indices must be of integer (or boolean) type",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mIndexError\u001b[0m                                Traceback (most recent call last)",
-      "Cell \u001b[0;32mIn[3], line 94\u001b[0m\n\u001b[1;32m     92\u001b[0m \u001b[38;5;66;03m# Run simulation\u001b[39;00m\n\u001b[1;32m     93\u001b[0m heat_solver \u001b[38;5;241m=\u001b[39m EulerDiscretizedHeatEquation(time_steps\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m10\u001b[39m)\n\u001b[0;32m---> 94\u001b[0m \u001b[43mheat_solver\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msolve\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     95\u001b[0m heat_solver\u001b[38;5;241m.\u001b[39mvisualize()\n",
-      "Cell \u001b[0;32mIn[3], line 63\u001b[0m, in \u001b[0;36mEulerDiscretizedHeatEquation.solve\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m     61\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21msolve\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[1;32m     62\u001b[0m     \u001b[38;5;66;03m# First time step starts with zero initial condition\u001b[39;00m\n\u001b[0;32m---> 63\u001b[0m     current_model \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcreate_stationary_pinn\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     64\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mmodels\u001b[38;5;241m.\u001b[39mappend(current_model)\n\u001b[1;32m     66\u001b[0m     \u001b[38;5;66;03m# Subsequent time steps use previous solution as source term\u001b[39;00m\n",
-      "Cell \u001b[0;32mIn[3], line 42\u001b[0m, in \u001b[0;36mEulerDiscretizedHeatEquation.create_stationary_pinn\u001b[0;34m(self, prev_solution)\u001b[0m\n\u001b[1;32m     39\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m y \u001b[38;5;241m-\u001b[39m \u001b[38;5;241m1.0\u001b[39m\n\u001b[1;32m     41\u001b[0m \u001b[38;5;66;03m# Prepare problem\u001b[39;00m\n\u001b[0;32m---> 42\u001b[0m data \u001b[38;5;241m=\u001b[39m \u001b[43mdde\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdata\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mPDE\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m     43\u001b[0m \u001b[43m    \u001b[49m\u001b[43mgeom\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\n\u001b[1;32m     44\u001b[0m \u001b[43m    \u001b[49m\u001b[43mpde\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\n\u001b[1;32m     45\u001b[0m \u001b[43m    \u001b[49m\u001b[43m[\u001b[49m\n\u001b[1;32m     46\u001b[0m \u001b[43m        \u001b[49m\u001b[43mdde\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43micbc\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mDirichletBC\u001b[49m\u001b[43m(\u001b[49m\u001b[43mgeom\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mboundary_left\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mbc_left\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m     47\u001b[0m \u001b[43m        \u001b[49m\u001b[43mdde\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43micbc\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mDirichletBC\u001b[49m\u001b[43m(\u001b[49m\u001b[43mgeom\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mboundary_right\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mbc_right\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     48\u001b[0m \u001b[43m    \u001b[49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m     49\u001b[0m \u001b[43m    \u001b[49m\u001b[43mnum_domain\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m2000\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m     50\u001b[0m \u001b[43m    \u001b[49m\u001b[43mnum_boundary\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m100\u001b[39;49m\n\u001b[1;32m     51\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     53\u001b[0m \u001b[38;5;66;03m# Network\u001b[39;00m\n\u001b[1;32m     54\u001b[0m net \u001b[38;5;241m=\u001b[39m dde\u001b[38;5;241m.\u001b[39mnn\u001b[38;5;241m.\u001b[39mFNN([\u001b[38;5;241m2\u001b[39m, \u001b[38;5;241m50\u001b[39m, \u001b[38;5;241m50\u001b[39m, \u001b[38;5;241m1\u001b[39m], \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mtanh\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mGlorot normal\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n",
-      "File \u001b[0;32m/opt/homebrew/Caskroom/miniconda/base/envs/IceMelting2/lib/python3.11/site-packages/deepxde/data/pde.py:130\u001b[0m, in \u001b[0;36mPDE.__init__\u001b[0;34m(self, geometry, pde, bcs, num_domain, num_boundary, train_distribution, anchors, exclusions, solution, num_test, auxiliary_var_function)\u001b[0m\n\u001b[1;32m    127\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mtest_x, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mtest_y \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m, \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m    128\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mtrain_aux_vars, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mtest_aux_vars \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m, \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[0;32m--> 130\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mtrain_next_batch\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    131\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mtest()\n",
-      "File \u001b[0;32m/opt/homebrew/Caskroom/miniconda/base/envs/IceMelting2/lib/python3.11/site-packages/deepxde/utils/internal.py:38\u001b[0m, in \u001b[0;36mrun_if_all_none.<locals>.decorator.<locals>.wrapper\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m     36\u001b[0m x \u001b[38;5;241m=\u001b[39m [\u001b[38;5;28mgetattr\u001b[39m(\u001b[38;5;28mself\u001b[39m, a) \u001b[38;5;28;01mfor\u001b[39;00m a \u001b[38;5;129;01min\u001b[39;00m attr]\n\u001b[1;32m     37\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mall\u001b[39m(i \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;28;01mfor\u001b[39;00m i \u001b[38;5;129;01min\u001b[39;00m x):\n\u001b[0;32m---> 38\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     39\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m x \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(x) \u001b[38;5;241m>\u001b[39m \u001b[38;5;241m1\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m x[\u001b[38;5;241m0\u001b[39m]\n",
-      "File \u001b[0;32m/opt/homebrew/Caskroom/miniconda/base/envs/IceMelting2/lib/python3.11/site-packages/deepxde/data/pde.py:186\u001b[0m, in \u001b[0;36mPDE.train_next_batch\u001b[0;34m(self, batch_size)\u001b[0m\n\u001b[1;32m    183\u001b[0m \u001b[38;5;129m@run_if_all_none\u001b[39m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mtrain_x\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mtrain_y\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mtrain_aux_vars\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m    184\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mtrain_next_batch\u001b[39m(\u001b[38;5;28mself\u001b[39m, batch_size\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m):\n\u001b[1;32m    185\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mtrain_x_all \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mtrain_points()\n\u001b[0;32m--> 186\u001b[0m     \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mbc_points\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m  \u001b[38;5;66;03m# Generate self.num_bcs and self.train_x_bc\u001b[39;00m\n\u001b[1;32m    187\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mbcs \u001b[38;5;129;01mand\u001b[39;00m config\u001b[38;5;241m.\u001b[39mhvd \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m    188\u001b[0m         num_bcs \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39marray(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mnum_bcs)\n",
-      "File \u001b[0;32m/opt/homebrew/Caskroom/miniconda/base/envs/IceMelting2/lib/python3.11/site-packages/deepxde/utils/internal.py:38\u001b[0m, in \u001b[0;36mrun_if_all_none.<locals>.decorator.<locals>.wrapper\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m     36\u001b[0m x \u001b[38;5;241m=\u001b[39m [\u001b[38;5;28mgetattr\u001b[39m(\u001b[38;5;28mself\u001b[39m, a) \u001b[38;5;28;01mfor\u001b[39;00m a \u001b[38;5;129;01min\u001b[39;00m attr]\n\u001b[1;32m     37\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mall\u001b[39m(i \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;28;01mfor\u001b[39;00m i \u001b[38;5;129;01min\u001b[39;00m x):\n\u001b[0;32m---> 38\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     39\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m x \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(x) \u001b[38;5;241m>\u001b[39m \u001b[38;5;241m1\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m x[\u001b[38;5;241m0\u001b[39m]\n",
-      "File \u001b[0;32m/opt/homebrew/Caskroom/miniconda/base/envs/IceMelting2/lib/python3.11/site-packages/deepxde/data/pde.py:298\u001b[0m, in \u001b[0;36mPDE.bc_points\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    296\u001b[0m \u001b[38;5;129m@run_if_all_none\u001b[39m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mtrain_x_bc\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m    297\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mbc_points\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[0;32m--> 298\u001b[0m     x_bcs \u001b[38;5;241m=\u001b[39m \u001b[43m[\u001b[49m\u001b[43mbc\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcollocation_points\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mtrain_x_all\u001b[49m\u001b[43m)\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mfor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mbc\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01min\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mbcs\u001b[49m\u001b[43m]\u001b[49m\n\u001b[1;32m    299\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mnum_bcs \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mlist\u001b[39m(\u001b[38;5;28mmap\u001b[39m(\u001b[38;5;28mlen\u001b[39m, x_bcs))\n\u001b[1;32m    300\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mtrain_x_bc \u001b[38;5;241m=\u001b[39m (\n\u001b[1;32m    301\u001b[0m         np\u001b[38;5;241m.\u001b[39mvstack(x_bcs)\n\u001b[1;32m    302\u001b[0m         \u001b[38;5;28;01mif\u001b[39;00m x_bcs\n\u001b[1;32m    303\u001b[0m         \u001b[38;5;28;01melse\u001b[39;00m np\u001b[38;5;241m.\u001b[39mempty([\u001b[38;5;241m0\u001b[39m, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mtrain_x_all\u001b[38;5;241m.\u001b[39mshape[\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m]], dtype\u001b[38;5;241m=\u001b[39mconfig\u001b[38;5;241m.\u001b[39mreal(np))\n\u001b[1;32m    304\u001b[0m     )\n",
-      "File \u001b[0;32m/opt/homebrew/Caskroom/miniconda/base/envs/IceMelting2/lib/python3.11/site-packages/deepxde/data/pde.py:298\u001b[0m, in \u001b[0;36m<listcomp>\u001b[0;34m(.0)\u001b[0m\n\u001b[1;32m    296\u001b[0m \u001b[38;5;129m@run_if_all_none\u001b[39m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mtrain_x_bc\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m    297\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mbc_points\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[0;32m--> 298\u001b[0m     x_bcs \u001b[38;5;241m=\u001b[39m [\u001b[43mbc\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcollocation_points\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mtrain_x_all\u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;28;01mfor\u001b[39;00m bc \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mbcs]\n\u001b[1;32m    299\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mnum_bcs \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mlist\u001b[39m(\u001b[38;5;28mmap\u001b[39m(\u001b[38;5;28mlen\u001b[39m, x_bcs))\n\u001b[1;32m    300\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mtrain_x_bc \u001b[38;5;241m=\u001b[39m (\n\u001b[1;32m    301\u001b[0m         np\u001b[38;5;241m.\u001b[39mvstack(x_bcs)\n\u001b[1;32m    302\u001b[0m         \u001b[38;5;28;01mif\u001b[39;00m x_bcs\n\u001b[1;32m    303\u001b[0m         \u001b[38;5;28;01melse\u001b[39;00m np\u001b[38;5;241m.\u001b[39mempty([\u001b[38;5;241m0\u001b[39m, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mtrain_x_all\u001b[38;5;241m.\u001b[39mshape[\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m]], dtype\u001b[38;5;241m=\u001b[39mconfig\u001b[38;5;241m.\u001b[39mreal(np))\n\u001b[1;32m    304\u001b[0m     )\n",
-      "File \u001b[0;32m/opt/homebrew/Caskroom/miniconda/base/envs/IceMelting2/lib/python3.11/site-packages/deepxde/icbc/boundary_conditions.py:53\u001b[0m, in \u001b[0;36mBC.collocation_points\u001b[0;34m(self, X)\u001b[0m\n\u001b[1;32m     52\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mcollocation_points\u001b[39m(\u001b[38;5;28mself\u001b[39m, X):\n\u001b[0;32m---> 53\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfilter\u001b[49m\u001b[43m(\u001b[49m\u001b[43mX\u001b[49m\u001b[43m)\u001b[49m\n",
-      "File \u001b[0;32m/opt/homebrew/Caskroom/miniconda/base/envs/IceMelting2/lib/python3.11/site-packages/deepxde/icbc/boundary_conditions.py:50\u001b[0m, in \u001b[0;36mBC.filter\u001b[0;34m(self, X)\u001b[0m\n\u001b[1;32m     49\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mfilter\u001b[39m(\u001b[38;5;28mself\u001b[39m, X):\n\u001b[0;32m---> 50\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mX\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mon_boundary\u001b[49m\u001b[43m(\u001b[49m\u001b[43mX\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mgeom\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mon_boundary\u001b[49m\u001b[43m(\u001b[49m\u001b[43mX\u001b[49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\u001b[43m]\u001b[49m\n",
-      "\u001b[0;31mIndexError\u001b[0m: arrays used as indices must be of integer (or boolean) type"
-     ]
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
    "source": [
-    "import deepxde as dde\n",
-    "import numpy as np\n",
-    "import tensorflow as tf\n",
-    "import matplotlib.pyplot as plt\n",
-    "\n",
-    "class EulerDiscretizedHeatEquation:\n",
-    "    def __init__(self, time_steps=10, alpha=0.4):\n",
-    "        self.time_steps = time_steps\n",
-    "        self.alpha = alpha\n",
-    "        self.dt = 1.0 / time_steps\n",
-    "        self.models = []\n",
-    "\n",
-    "    def create_stationary_pinn(self, prev_solution=None):\n",
-    "        # Geometry\n",
-    "        geom = dde.geometry.Interval(0, 1)\n",
-    "\n",
-    "        # Define PDE for current time step\n",
-    "        def pde(x, y):\n",
-    "            dy_xx = dde.grad.hessian(y, x)[..., 0, 0]\n",
-    "            \n",
-    "            # If previous solution exists, add source term\n",
-    "            if prev_solution is not None:\n",
-    "                source_term = (prev_solution(x) / self.dt)\n",
-    "                return dy_xx - self.alpha * source_term\n",
-    "            \n",
-    "            return dy_xx\n",
-    "\n",
-    "        # Boundary conditions\n",
-    "        def boundary_left(x, on_boundary):\n",
-    "            return on_boundary and np.isclose(x[0], 0)\n",
-    "\n",
-    "        def boundary_right(x, on_boundary):\n",
-    "            return on_boundary and np.isclose(x[0], 1)\n",
-    "\n",
-    "        def bc_left(x, y):\n",
-    "            return y\n",
-    "\n",
-    "        def bc_right(x, y):\n",
-    "            return y - 1.0\n",
-    "\n",
-    "        # Prepare problem\n",
-    "        data = dde.data.PDE(\n",
-    "            geom, \n",
-    "            pde, \n",
-    "            [\n",
-    "                dde.icbc.DirichletBC(geom, boundary_left, bc_left),\n",
-    "                dde.icbc.DirichletBC(geom, boundary_right, bc_right)\n",
-    "            ],\n",
-    "            num_domain=2000,\n",
-    "            num_boundary=100\n",
-    "        )\n",
-    "\n",
-    "        # Network\n",
-    "        net = dde.nn.FNN([2, 50, 50, 1], \"tanh\", \"Glorot normal\")\n",
-    "        model = dde.Model(data, net)\n",
-    "        model.compile(\"adam\", lr=0.001)\n",
-    "        model.train(iterations=3000)\n",
-    "\n",
-    "        return model\n",
-    "\n",
-    "    def solve(self):\n",
-    "        # First time step starts with zero initial condition\n",
-    "        current_model = self.create_stationary_pinn()\n",
-    "        self.models.append(current_model)\n",
-    "\n",
-    "        # Subsequent time steps use previous solution as source term\n",
-    "        for _ in range(1, self.time_steps):\n",
-    "            # Create prediction function from previous model\n",
-    "            prev_solution = lambda x: self.models[-1].predict(x)\n",
-    "            \n",
-    "            # Create next time step model\n",
-    "            current_model = self.create_stationary_pinn(prev_solution)\n",
-    "            self.models.append(current_model)\n",
-    "\n",
-    "    def visualize(self):\n",
-    "        plt.figure(figsize=(15, 5))\n",
-    "        x = np.linspace(0, 1, 100)\n",
-    "\n",
-    "        for i, model in enumerate(self.models):\n",
-    "            plt.subplot(1, len(self.models), i+1)\n",
-    "            X_test = np.column_stack([x, np.full_like(x, i * self.dt)])\n",
-    "            u_pred = model.predict(X_test)\n",
-    "            \n",
-    "            plt.plot(x, u_pred)\n",
-    "            plt.title(f'Time Step {i}')\n",
-    "            plt.xlabel('x')\n",
-    "            plt.ylabel('Temperature')\n",
-    "\n",
-    "        plt.tight_layout()\n",
-    "        plt.show()\n",
+    "# Visualize\n",
+    "x = np.linspace(0, 1, 100)\n",
+    "# t = np.linspace(0, 1, 100)\n",
+    "t = np.linspace(dt, 1, 10)\n",
+    "X, T = np.meshgrid(x, t)\n",
+    "X_flat = X.flatten()\n",
+    "T_flat = T.flatten()\n",
+    "pde_X = np.vstack((X_flat, T_flat)).T\n",
+    "Y = model.predict(pde_X).reshape(X.shape)\n",
     "\n",
-    "# Run simulation\n",
-    "heat_solver = EulerDiscretizedHeatEquation(time_steps=10)\n",
-    "heat_solver.solve()\n",
-    "heat_solver.visualize()"
+    "plt.figure()\n",
+    "for i in range(len(t)):\n",
+    "    plt.plot(x, Y[i, :])\n",
+    "plt.grid()\n",
+    "plt.show()"
    ]
   },
   {
diff --git a/ExplicitEulerPINN/Jax.ipynb b/ExplicitEulerPINN/Jax.ipynb
index b302ad93b448679a0dad967f54575f7adcad4ad9..6d4573d4f4081efe0cadda2c2e4fa77a1a870cc2 100644
--- a/ExplicitEulerPINN/Jax.ipynb
+++ b/ExplicitEulerPINN/Jax.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -43,7 +43,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -149,592 +149,62 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Epoch: 0, Loss: 253.523224\n",
-      "Epoch: 100, Loss: 43.742619\n",
-      "Epoch: 200, Loss: 43.214809\n",
-      "Epoch: 300, Loss: 41.990055\n",
-      "Epoch: 400, Loss: 38.347332\n",
-      "Epoch: 500, Loss: 33.502365\n",
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-      "Epoch: 900, Loss: 0.042728\n",
-      "Epoch: 0, Loss: 230.860229\n",
-      "Epoch: 100, Loss: 4.594819\n",
-      "Epoch: 200, Loss: 1.138357\n",
-      "Epoch: 300, Loss: 0.167666\n",
-      "Epoch: 400, Loss: 0.092242\n",
-      "Epoch: 500, Loss: 0.106781\n",
-      "Epoch: 600, Loss: 0.063792\n",
-      "Epoch: 700, Loss: 0.054960\n",
-      "Epoch: 800, Loss: 0.048863\n",
-      "Epoch: 900, Loss: 0.043829\n",
-      "Epoch: 0, Loss: 232.137070\n",
-      "Epoch: 100, Loss: 4.528514\n",
-      "Epoch: 200, Loss: 1.160290\n",
-      "Epoch: 300, Loss: 0.168856\n",
-      "Epoch: 400, Loss: 0.088300\n",
-      "Epoch: 500, Loss: 0.118678\n",
-      "Epoch: 600, Loss: 0.061372\n",
-      "Epoch: 700, Loss: 0.197473\n",
-      "Epoch: 800, Loss: 0.047232\n",
-      "Epoch: 900, Loss: 0.061159\n",
-      "Epoch: 0, Loss: 232.806152\n",
-      "Epoch: 100, Loss: 4.425350\n",
-      "Epoch: 200, Loss: 1.151497\n",
-      "Epoch: 300, Loss: 0.164939\n",
-      "Epoch: 400, Loss: 0.088096\n",
-      "Epoch: 500, Loss: 0.081745\n",
-      "Epoch: 600, Loss: 0.062449\n",
-      "Epoch: 700, Loss: 0.064203\n",
-      "Epoch: 800, Loss: 0.048966\n",
-      "Epoch: 900, Loss: 0.528235\n",
-      "Epoch: 0, Loss: 233.468872\n",
-      "Epoch: 100, Loss: 4.334857\n",
-      "Epoch: 200, Loss: 1.144580\n",
-      "Epoch: 300, Loss: 0.175035\n",
-      "Epoch: 400, Loss: 0.087818\n",
-      "Epoch: 500, Loss: 0.115088\n",
-      "Epoch: 600, Loss: 0.063285\n",
-      "Epoch: 700, Loss: 0.141731\n",
-      "Epoch: 800, Loss: 0.050400\n",
-      "Epoch: 900, Loss: 0.046277\n",
-      "Epoch: 0, Loss: 233.969803\n",
-      "Epoch: 100, Loss: 4.249578\n",
-      "Epoch: 200, Loss: 1.134416\n",
-      "Epoch: 300, Loss: 0.192819\n",
-      "Epoch: 400, Loss: 0.088489\n",
-      "Epoch: 500, Loss: 0.076097\n",
-      "Epoch: 600, Loss: 0.064843\n",
-      "Epoch: 700, Loss: 0.057541\n",
-      "Epoch: 800, Loss: 0.052453\n",
-      "Epoch: 900, Loss: 0.048240\n",
-      "Epoch: 0, Loss: 235.685730\n",
-      "Epoch: 100, Loss: 4.212798\n",
-      "Epoch: 200, Loss: 1.166915\n",
-      "Epoch: 300, Loss: 0.265906\n",
-      "Epoch: 400, Loss: 0.082885\n",
-      "Epoch: 500, Loss: 0.068582\n",
-      "Epoch: 600, Loss: 0.059754\n",
-      "Epoch: 700, Loss: 0.052792\n",
-      "Epoch: 800, Loss: 0.066695\n",
-      "Epoch: 900, Loss: 0.043739\n",
-      "Epoch: 0, Loss: 236.552246\n",
-      "Epoch: 100, Loss: 4.126419\n",
-      "Epoch: 200, Loss: 1.159185\n",
-      "Epoch: 300, Loss: 0.213227\n",
-      "Epoch: 400, Loss: 0.082011\n",
-      "Epoch: 500, Loss: 0.068398\n",
-      "Epoch: 600, Loss: 0.059565\n",
-      "Epoch: 700, Loss: 0.052715\n",
-      "Epoch: 800, Loss: 0.048090\n",
-      "Epoch: 900, Loss: 0.044063\n",
-      "Epoch: 0, Loss: 237.698044\n",
-      "Epoch: 100, Loss: 4.051956\n",
-      "Epoch: 200, Loss: 1.159476\n",
-      "Epoch: 300, Loss: 0.243798\n",
-      "Epoch: 400, Loss: 0.079484\n",
-      "Epoch: 500, Loss: 0.066014\n",
-      "Epoch: 600, Loss: 0.057854\n",
-      "Epoch: 700, Loss: 0.051321\n",
-      "Epoch: 800, Loss: 0.046922\n",
-      "Epoch: 900, Loss: 0.043006\n",
-      "Epoch: 0, Loss: 238.082870\n",
-      "Epoch: 100, Loss: 3.958541\n",
-      "Epoch: 200, Loss: 1.135605\n",
-      "Epoch: 300, Loss: 0.204177\n",
-      "Epoch: 400, Loss: 0.080460\n",
-      "Epoch: 500, Loss: 0.068699\n",
-      "Epoch: 600, Loss: 0.059825\n",
-      "Epoch: 700, Loss: 0.053619\n",
-      "Epoch: 800, Loss: 0.049361\n",
-      "Epoch: 900, Loss: 0.045720\n",
-      "Epoch: 0, Loss: 238.947571\n",
-      "Epoch: 100, Loss: 3.893230\n",
-      "Epoch: 200, Loss: 1.128799\n",
-      "Epoch: 300, Loss: 0.163712\n",
-      "Epoch: 400, Loss: 0.078969\n",
-      "Epoch: 500, Loss: 0.066676\n",
-      "Epoch: 600, Loss: 0.092032\n",
-      "Epoch: 700, Loss: 0.053277\n",
-      "Epoch: 800, Loss: 0.048840\n",
-      "Epoch: 900, Loss: 0.045584\n",
-      "Epoch: 0, Loss: 239.268921\n",
-      "Epoch: 100, Loss: 3.822045\n",
-      "Epoch: 200, Loss: 1.110487\n",
-      "Epoch: 300, Loss: 0.164093\n",
-      "Epoch: 400, Loss: 0.079504\n",
-      "Epoch: 500, Loss: 0.067611\n",
-      "Epoch: 600, Loss: 0.063538\n",
-      "Epoch: 700, Loss: 0.054949\n",
-      "Epoch: 800, Loss: 0.077777\n",
-      "Epoch: 900, Loss: 0.047642\n",
-      "Epoch: 0, Loss: 236.532684\n",
-      "Epoch: 100, Loss: 3.697113\n",
-      "Epoch: 200, Loss: 1.018412\n",
-      "Epoch: 300, Loss: 0.219953\n",
-      "Epoch: 400, Loss: 0.097610\n",
-      "Epoch: 500, Loss: 0.117259\n",
-      "Epoch: 600, Loss: 0.080289\n",
-      "Epoch: 700, Loss: 0.106019\n",
-      "Epoch: 800, Loss: 0.071409\n",
-      "Epoch: 900, Loss: 0.068256\n",
-      "Epoch: 0, Loss: 236.447815\n",
-      "Epoch: 100, Loss: 3.711316\n",
-      "Epoch: 200, Loss: 1.024552\n",
-      "Epoch: 300, Loss: 0.240740\n",
-      "Epoch: 400, Loss: 0.095844\n",
-      "Epoch: 500, Loss: 0.104269\n",
-      "Epoch: 600, Loss: 0.079079\n",
-      "Epoch: 700, Loss: 0.074140\n",
-      "Epoch: 800, Loss: 0.070605\n",
-      "Epoch: 900, Loss: 0.067575\n",
-      "Epoch: 0, Loss: 236.383224\n",
-      "Epoch: 100, Loss: 3.722313\n",
-      "Epoch: 200, Loss: 1.030669\n",
-      "Epoch: 300, Loss: 0.229209\n",
-      "Epoch: 400, Loss: 0.095190\n",
-      "Epoch: 500, Loss: 0.241948\n",
-      "Epoch: 600, Loss: 0.078527\n",
-      "Epoch: 700, Loss: 0.073493\n",
-      "Epoch: 800, Loss: 0.070235\n",
-      "Epoch: 900, Loss: 0.067134\n",
-      "Epoch: 0, Loss: 235.565140\n",
-      "Epoch: 100, Loss: 3.707448\n",
-      "Epoch: 200, Loss: 1.014696\n",
-      "Epoch: 300, Loss: 0.252770\n",
-      "Epoch: 400, Loss: 0.101227\n",
-      "Epoch: 500, Loss: 0.090605\n",
-      "Epoch: 600, Loss: 0.085336\n",
-      "Epoch: 700, Loss: 0.079403\n",
-      "Epoch: 800, Loss: 0.276012\n",
-      "Epoch: 900, Loss: 0.072858\n",
-      "Epoch: 0, Loss: 235.573669\n",
-      "Epoch: 100, Loss: 3.733936\n",
-      "Epoch: 200, Loss: 1.028311\n",
-      "Epoch: 300, Loss: 0.234835\n",
-      "Epoch: 400, Loss: 0.099118\n",
-      "Epoch: 500, Loss: 0.432342\n",
-      "Epoch: 600, Loss: 0.082239\n",
-      "Epoch: 700, Loss: 0.077189\n",
-      "Epoch: 800, Loss: 0.073594\n",
-      "Epoch: 900, Loss: 0.070562\n"
+      "Time step 1/49\n",
+      "Time step 2/49\n",
+      "Time step 3/49\n",
+      "Time step 4/49\n",
+      "Time step 5/49\n",
+      "Time step 6/49\n",
+      "Time step 7/49\n",
+      "Time step 8/49\n",
+      "Time step 9/49\n",
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+      "Time step 11/49\n",
+      "Time step 12/49\n",
+      "Time step 13/49\n",
+      "Time step 14/49\n",
+      "Time step 15/49\n",
+      "Time step 16/49\n",
+      "Time step 17/49\n",
+      "Time step 18/49\n",
+      "Time step 19/49\n",
+      "Time step 20/49\n",
+      "Time step 21/49\n",
+      "Time step 22/49\n",
+      "Time step 23/49\n",
+      "Time step 24/49\n",
+      "Time step 25/49\n",
+      "Time step 26/49\n",
+      "Time step 27/49\n",
+      "Time step 28/49\n",
+      "Time step 29/49\n",
+      "Time step 30/49\n",
+      "Time step 31/49\n",
+      "Time step 32/49\n",
+      "Time step 33/49\n",
+      "Time step 34/49\n",
+      "Time step 35/49\n",
+      "Time step 36/49\n",
+      "Time step 37/49\n",
+      "Time step 38/49\n",
+      "Time step 39/49\n",
+      "Time step 40/49\n",
+      "Time step 41/49\n",
+      "Time step 42/49\n",
+      "Time step 43/49\n",
+      "Time step 44/49\n",
+      "Time step 45/49\n",
+      "Time step 46/49\n",
+      "Time step 47/49\n",
+      "Time step 48/49\n",
+      "Time step 49/49\n"
      ]
     }
    ],
    "source": [
     "# Training loop\n",
     "for i in range(0, len(models)):\n",
+    "    print(f'Time step {i+1}/{len(models)}')\n",
     "    pinn = models[i]\n",
     "    # Correct initialization of pinn_old\n",
     "    pinn_old = models[i-1] if i > 0 else None\n",
@@ -758,8 +228,8 @@
     "        pinn, opt_state, loss = make_step(pinn, pinn_old or pinn, opt_state)\n",
     "        loss_history.append(loss)\n",
     "        \n",
-    "        if epoch % 100 == 0:\n",
-    "            print(f\"Epoch: {epoch}, Loss: {loss:.6f}\")\n",
+    "        # if epoch % 100 == 0:\n",
+    "        #     print(f\"Epoch: {epoch}, Loss: {loss:.6f}\")\n",
     "    \n",
     "    models[i] = pinn"
    ]
@@ -788,7 +258,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
@@ -818,259 +288,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "2025-01-24 13:33:25.587 ( 134.881s) [main            ]         graphbuild.cpp:356   INFO| Build local part of mesh dual graph\n",
-      "2025-01-24 13:33:25.587 ( 134.881s) [main            ]           ordering.cpp:204   INFO| GPS pseudo-diameter:(351) 350-0\n",
-      "2025-01-24 13:33:25.587 ( 134.881s) [main            ]           Topology.cpp:1330  INFO| Create topology (single cell type)\n",
-      "2025-01-24 13:33:25.587 ( 134.881s) [main            ]           Topology.cpp:1044  INFO| Create topology (generalised)\n",
-      "2025-01-24 13:33:25.587 ( 134.881s) [main            ]                MPI.cpp:164   INFO| Computing communication graph edges (using NBX algorithm). Number of input edges: 1\n",
-      "2025-01-24 13:33:25.587 ( 134.881s) [main            ]                MPI.cpp:235   INFO| Finished graph edge discovery using NBX algorithm. Number of discovered edges 1\n",
-      "2025-01-24 13:33:25.587 ( 134.881s) [main            ]          partition.cpp:233   INFO| Compute ghost indices\n",
-      "2025-01-24 13:33:25.587 ( 134.881s) [main            ]                MPI.cpp:97    INFO| Computing communication graph edges (using PCX algorithm). Number of input edges: 0\n",
-      "2025-01-24 13:33:25.587 ( 134.881s) [main            ]                MPI.cpp:154   INFO| Finished graph edge discovery using PCX algorithm. Number of discovered edges 0\n",
-      "2025-01-24 13:33:25.587 ( 134.882s) [main            ]                MPI.cpp:164   INFO| Computing communication graph edges (using NBX algorithm). Number of input edges: 0\n",
-      "2025-01-24 13:33:25.587 ( 134.882s) [main            ]                MPI.cpp:235   INFO| Finished graph edge discovery using NBX algorithm. Number of discovered edges 0\n",
-      "2025-01-24 13:33:25.587 ( 134.882s) [main            ]                MPI.cpp:164   INFO| Computing communication graph edges (using NBX algorithm). Number of input edges: 0\n",
-      "2025-01-24 13:33:25.587 ( 134.882s) [main            ]                MPI.cpp:235   INFO| Finished graph edge discovery using NBX algorithm. Number of discovered edges 0\n",
-      "2025-01-24 13:33:25.587 ( 134.882s) [main            ]                  MPI.h:377   INFO| Number of neighbourhood source ranks in distribute_to_postoffice: 0\n",
-      "2025-01-24 13:33:25.587 ( 134.882s) [main            ]                MPI.cpp:164   INFO| Computing communication graph edges (using NBX algorithm). Number of input edges: 0\n",
-      "2025-01-24 13:33:25.587 ( 134.882s) [main            ]                MPI.cpp:235   INFO| Finished graph edge discovery using NBX algorithm. Number of discovered edges 0\n",
-      "2025-01-24 13:33:25.587 ( 134.882s) [main            ]                  MPI.h:518   INFO| Neighbourhood destination ranks from post office in distribute_data (rank, num dests, num dests/mpi_size): 0, 0, 0\n",
-      "2025-01-24 13:33:25.587 ( 134.882s) [main            ]      dofmapbuilder.cpp:166   INFO| Checking required entities per dimension\n",
-      "2025-01-24 13:33:25.587 ( 134.882s) [main            ]      dofmapbuilder.cpp:264   INFO| Cell type:0, dofmap:351x2\n",
-      "2025-01-24 13:33:25.587 ( 134.882s) [main            ]      dofmapbuilder.cpp:320   INFO| Global index computation\n",
-      "2025-01-24 13:33:25.587 ( 134.882s) [main            ]      dofmapbuilder.cpp:637   INFO| Got 1 index_maps\n",
-      "2025-01-24 13:33:25.587 ( 134.882s) [main            ]      dofmapbuilder.cpp:644   INFO| Get global indices\n",
-      "2025-01-24 13:33:25.594 ( 134.889s) [main            ]      dofmapbuilder.cpp:166   INFO| Checking required entities per dimension\n",
-      "2025-01-24 13:33:25.594 ( 134.889s) [main            ]      dofmapbuilder.cpp:264   INFO| Cell type:0, dofmap:351x2\n",
-      "2025-01-24 13:33:25.594 ( 134.889s) [main            ]      dofmapbuilder.cpp:320   INFO| Global index computation\n",
-      "2025-01-24 13:33:25.594 ( 134.889s) [main            ]      dofmapbuilder.cpp:637   INFO| Got 1 index_maps\n",
-      "2025-01-24 13:33:25.594 ( 134.889s) [main            ]      dofmapbuilder.cpp:644   INFO| Get global indices\n",
-      "2025-01-24 13:33:25.606 ( 134.901s) [main            ]    SparsityPattern.cpp:385   INFO| Column ghost size increased from 0 to 0\n",
-      "2025-01-24 13:33:25.612 ( 134.906s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.613 ( 134.907s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.613 ( 134.908s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 1.64898 (tol = 1e-10) r (rel) = 0.327693(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.614 ( 134.908s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.614 ( 134.908s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 0.102247 (tol = 1e-10) r (rel) = 0.0203191(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.614 ( 134.909s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.615 ( 134.909s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 4: r (abs) = 0.000544574 (tol = 1e-10) r (rel) = 0.00010822(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.615 ( 134.910s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.615 ( 134.910s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 5: r (abs) = 1.70517e-08 (tol = 1e-10) r (rel) = 3.3886e-09(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.615 ( 134.910s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 5 iterations and 5 linear solver iterations.\n",
-      "2025-01-24 13:33:25.620 ( 134.914s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.621 ( 134.915s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.621 ( 134.915s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 0.0642979 (tol = 1e-10) r (rel) = 0.048687(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.621 ( 134.916s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.622 ( 134.916s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 0.000226838 (tol = 1e-10) r (rel) = 0.000171764(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.622 ( 134.917s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.622 ( 134.917s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 4: r (abs) = 2.79859e-09 (tol = 1e-10) r (rel) = 2.11912e-09(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.622 ( 134.917s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 4 iterations and 4 linear solver iterations.\n",
-      "2025-01-24 13:33:25.627 ( 134.921s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.628 ( 134.922s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.628 ( 134.922s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 0.0337731 (tol = 1e-10) r (rel) = 0.0392904(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.628 ( 134.923s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.629 ( 134.923s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 5.90502e-05 (tol = 1e-10) r (rel) = 6.86967e-05(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.629 ( 134.923s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
-      "2025-01-24 13:33:25.633 ( 134.927s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.633 ( 134.928s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.633 ( 134.928s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 0.0206625 (tol = 1e-10) r (rel) = 0.0319203(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.634 ( 134.929s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.634 ( 134.929s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 2.22748e-05 (tol = 1e-10) r (rel) = 3.44111e-05(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.634 ( 134.929s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
-      "2025-01-24 13:33:25.638 ( 134.932s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.638 ( 134.933s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.639 ( 134.933s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 0.0138464 (tol = 1e-10) r (rel) = 0.0265043(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.639 ( 134.934s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.639 ( 134.934s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 1.00934e-05 (tol = 1e-10) r (rel) = 1.93205e-05(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.639 ( 134.934s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
-      "2025-01-24 13:33:25.643 ( 134.938s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.644 ( 134.938s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.644 ( 134.939s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 0.00984315 (tol = 1e-10) r (rel) = 0.022467(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.644 ( 134.939s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.645 ( 134.939s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 5.12445e-06 (tol = 1e-10) r (rel) = 1.16966e-05(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.645 ( 134.939s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
-      "2025-01-24 13:33:25.648 ( 134.943s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.649 ( 134.944s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.649 ( 134.944s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 0.00728009 (tol = 1e-10) r (rel) = 0.0193547(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.650 ( 134.944s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.650 ( 134.944s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 2.80772e-06 (tol = 1e-10) r (rel) = 7.46455e-06(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.650 ( 134.944s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
-      "2025-01-24 13:33:25.653 ( 134.948s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.654 ( 134.948s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.654 ( 134.949s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 0.00553596 (tol = 1e-10) r (rel) = 0.0168792(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.654 ( 134.949s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.655 ( 134.949s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 1.62341e-06 (tol = 1e-10) r (rel) = 4.94982e-06(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.655 ( 134.949s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
-      "2025-01-24 13:33:25.658 ( 134.953s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.659 ( 134.953s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.659 ( 134.954s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 0.00429613 (tol = 1e-10) r (rel) = 0.0148598(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.659 ( 134.954s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.660 ( 134.954s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 9.76712e-07 (tol = 1e-10) r (rel) = 3.37832e-06(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.660 ( 134.954s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
-      "2025-01-24 13:33:25.663 ( 134.958s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.664 ( 134.958s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.664 ( 134.958s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 0.00338609 (tol = 1e-10) r (rel) = 0.0131793(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.664 ( 134.959s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.664 ( 134.959s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 6.05858e-07 (tol = 1e-10) r (rel) = 2.35812e-06(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.664 ( 134.959s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
-      "2025-01-24 13:33:25.668 ( 134.962s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.668 ( 134.963s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.669 ( 134.963s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 0.00270173 (tol = 1e-10) r (rel) = 0.0117591(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.669 ( 134.964s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.669 ( 134.964s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 3.85055e-07 (tol = 1e-10) r (rel) = 1.67592e-06(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.669 ( 134.964s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
-      "2025-01-24 13:33:25.673 ( 134.967s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.673 ( 134.968s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.674 ( 134.968s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 0.0021773 (tol = 1e-10) r (rel) = 0.0105438(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.674 ( 134.969s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.674 ( 134.969s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 2.49628e-07 (tol = 1e-10) r (rel) = 1.20885e-06(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.674 ( 134.969s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
-      "2025-01-24 13:33:25.678 ( 134.972s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.678 ( 134.973s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.678 ( 134.973s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 0.00176929 (tol = 1e-10) r (rel) = 0.00949353(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.679 ( 134.973s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.679 ( 134.973s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 1.64539e-07 (tol = 1e-10) r (rel) = 8.82873e-07(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.679 ( 134.973s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
-      "2025-01-24 13:33:25.682 ( 134.977s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.683 ( 134.977s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.683 ( 134.977s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 0.00144789 (tol = 1e-10) r (rel) = 0.00857828(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.683 ( 134.978s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.684 ( 134.978s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 1.09995e-07 (tol = 1e-10) r (rel) = 6.5168e-07(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.684 ( 134.978s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
-      "2025-01-24 13:33:25.687 ( 134.982s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.688 ( 134.982s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.688 ( 134.982s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 0.00119208 (tol = 1e-10) r (rel) = 0.00777512(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.688 ( 134.983s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.689 ( 134.983s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 7.44316e-08 (tol = 1e-10) r (rel) = 4.85466e-07(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.689 ( 134.983s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
-      "2025-01-24 13:33:25.692 ( 134.987s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.693 ( 134.987s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.693 ( 134.988s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 0.00098665 (tol = 1e-10) r (rel) = 0.00706613(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.694 ( 134.988s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.694 ( 134.988s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 5.09039e-08 (tol = 1e-10) r (rel) = 3.6456e-07(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.694 ( 134.988s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
-      "2025-01-24 13:33:25.697 ( 134.992s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.698 ( 134.992s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.698 ( 134.992s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 0.000820411 (tol = 1e-10) r (rel) = 0.00643702(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.698 ( 134.993s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.699 ( 134.993s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 3.51399e-08 (tol = 1e-10) r (rel) = 2.75711e-07(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.699 ( 134.993s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
-      "2025-01-24 13:33:25.702 ( 134.996s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.703 ( 134.997s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.703 ( 134.997s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 0.000684983 (tol = 1e-10) r (rel) = 0.00587628(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.703 ( 134.998s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.703 ( 134.998s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 2.44592e-08 (tol = 1e-10) r (rel) = 2.09829e-07(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.703 ( 134.998s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
-      "2025-01-24 13:33:25.707 ( 135.001s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.707 ( 135.002s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.708 ( 135.002s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 0.000574 (tol = 1e-10) r (rel) = 0.00537447(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.708 ( 135.003s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.708 ( 135.003s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 1.7151e-08 (tol = 1e-10) r (rel) = 1.60588e-07(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.708 ( 135.003s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
-      "2025-01-24 13:33:25.712 ( 135.006s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.712 ( 135.007s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.713 ( 135.007s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 0.000482573 (tol = 1e-10) r (rel) = 0.00492382(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.713 ( 135.008s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.713 ( 135.008s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 1.21062e-08 (tol = 1e-10) r (rel) = 1.23523e-07(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.713 ( 135.008s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
-      "2025-01-24 13:33:25.717 ( 135.011s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.717 ( 135.012s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.717 ( 135.012s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 0.000406901 (tol = 1e-10) r (rel) = 0.0045178(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.718 ( 135.012s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.718 ( 135.013s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 8.59629e-09 (tol = 1e-10) r (rel) = 9.54441e-08(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.718 ( 135.013s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
-      "2025-01-24 13:33:25.721 ( 135.016s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.722 ( 135.017s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.722 ( 135.017s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 0.000344006 (tol = 1e-10) r (rel) = 0.00415097(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.723 ( 135.017s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.723 ( 135.018s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 6.13687e-09 (tol = 1e-10) r (rel) = 7.4051e-08(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.723 ( 135.018s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
-      "2025-01-24 13:33:25.726 ( 135.021s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.727 ( 135.021s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.727 ( 135.022s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 0.00029153 (tol = 1e-10) r (rel) = 0.00381867(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.727 ( 135.022s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.728 ( 135.022s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 4.40248e-09 (tol = 1e-10) r (rel) = 5.76669e-08(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.728 ( 135.022s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
-      "2025-01-24 13:33:25.731 ( 135.025s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.731 ( 135.026s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.732 ( 135.026s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 0.000247598 (tol = 1e-10) r (rel) = 0.00351695(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.732 ( 135.027s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.732 ( 135.027s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 3.17226e-09 (tol = 1e-10) r (rel) = 4.50598e-08(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.732 ( 135.027s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
-      "2025-01-24 13:33:25.736 ( 135.030s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.736 ( 135.031s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.736 ( 135.031s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 0.000210702 (tol = 1e-10) r (rel) = 0.00324242(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.737 ( 135.031s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.737 ( 135.032s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 2.29503e-09 (tol = 1e-10) r (rel) = 3.53173e-08(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.737 ( 135.032s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
-      "2025-01-24 13:33:25.740 ( 135.035s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.741 ( 135.036s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.741 ( 135.036s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 0.000179629 (tol = 1e-10) r (rel) = 0.00299213(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.742 ( 135.036s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.742 ( 135.036s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 1.66649e-09 (tol = 1e-10) r (rel) = 2.77592e-08(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.742 ( 135.036s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
-      "2025-01-24 13:33:25.745 ( 135.040s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.746 ( 135.040s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.746 ( 135.040s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 0.000153391 (tol = 1e-10) r (rel) = 0.00276355(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.746 ( 135.041s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.746 ( 135.041s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 1.21416e-09 (tol = 1e-10) r (rel) = 2.18748e-08(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.746 ( 135.041s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
-      "2025-01-24 13:33:25.750 ( 135.044s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.750 ( 135.045s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.751 ( 135.045s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 0.000131184 (tol = 1e-10) r (rel) = 0.00255444(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.751 ( 135.046s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.751 ( 135.046s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 8.87336e-10 (tol = 1e-10) r (rel) = 1.72784e-08(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.751 ( 135.046s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
-      "2025-01-24 13:33:25.755 ( 135.049s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.755 ( 135.050s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.755 ( 135.050s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 0.000112347 (tol = 1e-10) r (rel) = 0.00236287(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.756 ( 135.050s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.756 ( 135.051s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 6.50315e-10 (tol = 1e-10) r (rel) = 1.36773e-08(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.756 ( 135.051s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
-      "2025-01-24 13:33:25.759 ( 135.054s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.760 ( 135.055s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.760 ( 135.055s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 9.63377e-05 (tol = 1e-10) r (rel) = 0.00218712(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.761 ( 135.055s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.761 ( 135.055s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 4.77843e-10 (tol = 1e-10) r (rel) = 1.08483e-08(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.761 ( 135.055s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
-      "2025-01-24 13:33:25.764 ( 135.059s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.765 ( 135.059s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.765 ( 135.059s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 8.27061e-05 (tol = 1e-10) r (rel) = 0.00202568(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.765 ( 135.060s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.765 ( 135.060s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 3.51949e-10 (tol = 1e-10) r (rel) = 8.62013e-09(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.765 ( 135.060s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
-      "2025-01-24 13:33:25.769 ( 135.063s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.769 ( 135.064s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.770 ( 135.064s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 7.10797e-05 (tol = 1e-10) r (rel) = 0.00187722(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.770 ( 135.065s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.770 ( 135.065s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 2.59795e-10 (tol = 1e-10) r (rel) = 6.86119e-09(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.770 ( 135.065s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
-      "2025-01-24 13:33:25.774 ( 135.068s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.774 ( 135.069s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.774 ( 135.069s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 6.11482e-05 (tol = 1e-10) r (rel) = 0.00174054(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.775 ( 135.069s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.775 ( 135.070s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 1.92158e-10 (tol = 1e-10) r (rel) = 5.46963e-09(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.775 ( 135.070s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
-      "2025-01-24 13:33:25.778 ( 135.073s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.779 ( 135.074s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.779 ( 135.074s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 5.26525e-05 (tol = 1e-10) r (rel) = 0.00161459(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.780 ( 135.074s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.780 ( 135.074s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 1.42393e-10 (tol = 1e-10) r (rel) = 4.36649e-09(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.780 ( 135.074s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
-      "2025-01-24 13:33:25.783 ( 135.078s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.784 ( 135.078s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.784 ( 135.079s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 4.53753e-05 (tol = 1e-10) r (rel) = 0.00149841(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.785 ( 135.079s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.785 ( 135.079s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 1.057e-10 (tol = 1e-10) r (rel) = 3.4905e-09(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.785 ( 135.079s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n"
-     ]
-    },
     {
      "name": "stdout",
      "output_type": "stream",
@@ -1082,7 +302,73 @@
       "current time: 0.08\n",
       "current time: 0.1\n",
       "current time: 0.12000000000000001\n",
-      "current time: 0.14\n",
+      "current time: 0.14\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2025-01-27 11:03:44.485 (  95.565s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:44.493 (  95.573s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:44.495 (  95.575s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 5.63255 (tol = 1e-10) r (rel) = 0.330683(tol = 0.0001)\n",
+      "2025-01-27 11:03:44.501 (  95.580s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:44.503 (  95.582s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 0.349275 (tol = 1e-10) r (rel) = 0.0205057(tol = 0.0001)\n",
+      "2025-01-27 11:03:44.508 (  95.587s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:44.510 (  95.589s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 4: r (abs) = 0.00186007 (tol = 1e-10) r (rel) = 0.000109204(tol = 0.0001)\n",
+      "2025-01-27 11:03:44.515 (  95.594s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:44.517 (  95.596s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 5: r (abs) = 5.82354e-08 (tol = 1e-10) r (rel) = 3.41896e-09(tol = 0.0001)\n",
+      "2025-01-27 11:03:44.517 (  95.596s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 5 iterations and 5 linear solver iterations.\n",
+      "2025-01-27 11:03:44.527 (  95.607s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:44.534 (  95.614s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:44.536 (  95.616s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 0.219636 (tol = 1e-10) r (rel) = 0.0486891(tol = 0.0001)\n",
+      "2025-01-27 11:03:44.541 (  95.621s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:44.543 (  95.623s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 0.000774787 (tol = 1e-10) r (rel) = 0.000171756(tol = 0.0001)\n",
+      "2025-01-27 11:03:44.548 (  95.628s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:44.550 (  95.630s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 4: r (abs) = 9.55765e-09 (tol = 1e-10) r (rel) = 2.11875e-09(tol = 0.0001)\n",
+      "2025-01-27 11:03:44.550 (  95.630s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 4 iterations and 4 linear solver iterations.\n",
+      "2025-01-27 11:03:44.561 (  95.640s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:44.568 (  95.647s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:44.570 (  95.649s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 0.115368 (tol = 1e-10) r (rel) = 0.0392908(tol = 0.0001)\n",
+      "2025-01-27 11:03:44.575 (  95.654s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:44.577 (  95.656s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 0.000201709 (tol = 1e-10) r (rel) = 6.86957e-05(tol = 0.0001)\n",
+      "2025-01-27 11:03:44.577 (  95.656s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
+      "2025-01-27 11:03:44.587 (  95.666s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:44.594 (  95.673s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:44.596 (  95.675s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 0.0705829 (tol = 1e-10) r (rel) = 0.0319204(tol = 0.0001)\n",
+      "2025-01-27 11:03:44.601 (  95.680s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:44.603 (  95.682s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 7.60894e-05 (tol = 1e-10) r (rel) = 3.44107e-05(tol = 0.0001)\n",
+      "2025-01-27 11:03:44.603 (  95.682s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
+      "2025-01-27 11:03:44.613 (  95.692s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:44.620 (  95.699s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:44.622 (  95.701s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 0.0472993 (tol = 1e-10) r (rel) = 0.0265043(tol = 0.0001)\n",
+      "2025-01-27 11:03:44.627 (  95.707s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:44.629 (  95.708s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 3.44788e-05 (tol = 1e-10) r (rel) = 1.93203e-05(tol = 0.0001)\n",
+      "2025-01-27 11:03:44.629 (  95.708s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
+      "2025-01-27 11:03:44.639 (  95.719s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:44.646 (  95.726s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:44.648 (  95.728s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 0.0336243 (tol = 1e-10) r (rel) = 0.0224669(tol = 0.0001)\n",
+      "2025-01-27 11:03:44.653 (  95.733s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:44.655 (  95.735s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 1.75051e-05 (tol = 1e-10) r (rel) = 1.16965e-05(tol = 0.0001)\n",
+      "2025-01-27 11:03:44.655 (  95.735s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
+      "2025-01-27 11:03:44.665 (  95.745s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:44.672 (  95.752s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:44.674 (  95.754s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 0.0248689 (tol = 1e-10) r (rel) = 0.0193547(tol = 0.0001)\n",
+      "2025-01-27 11:03:44.679 (  95.759s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:44.681 (  95.761s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 9.59117e-06 (tol = 1e-10) r (rel) = 7.46449e-06(tol = 0.0001)\n",
+      "2025-01-27 11:03:44.681 (  95.761s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
+      "2025-01-27 11:03:44.691 (  95.771s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:44.698 (  95.778s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:44.701 (  95.780s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 0.018911 (tol = 1e-10) r (rel) = 0.0168792(tol = 0.0001)\n",
+      "2025-01-27 11:03:44.706 (  95.785s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:44.708 (  95.788s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 5.5456e-06 (tol = 1e-10) r (rel) = 4.94979e-06(tol = 0.0001)\n",
+      "2025-01-27 11:03:44.708 (  95.788s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
       "current time: 0.16\n",
       "current time: 0.18\n",
       "current time: 0.19999999999999998\n",
@@ -1090,7 +376,68 @@
       "current time: 0.23999999999999996\n",
       "current time: 0.25999999999999995\n",
       "current time: 0.27999999999999997\n",
-      "current time: 0.3\n",
+      "current time: 0.3\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2025-01-27 11:03:44.719 (  95.798s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:44.726 (  95.805s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:44.728 (  95.807s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 0.0146757 (tol = 1e-10) r (rel) = 0.0148597(tol = 0.0001)\n",
+      "2025-01-27 11:03:44.733 (  95.813s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:44.735 (  95.814s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 3.33647e-06 (tol = 1e-10) r (rel) = 3.37831e-06(tol = 0.0001)\n",
+      "2025-01-27 11:03:44.735 (  95.814s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
+      "2025-01-27 11:03:44.745 (  95.825s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:44.752 (  95.832s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:44.754 (  95.834s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 0.011567 (tol = 1e-10) r (rel) = 0.0131793(tol = 0.0001)\n",
+      "2025-01-27 11:03:44.759 (  95.839s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:44.761 (  95.841s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 2.06963e-06 (tol = 1e-10) r (rel) = 2.35811e-06(tol = 0.0001)\n",
+      "2025-01-27 11:03:44.761 (  95.841s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
+      "2025-01-27 11:03:44.772 (  95.851s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:44.779 (  95.859s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:44.781 (  95.860s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 0.00922923 (tol = 1e-10) r (rel) = 0.0117591(tol = 0.0001)\n",
+      "2025-01-27 11:03:44.786 (  95.866s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:44.788 (  95.868s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 1.31536e-06 (tol = 1e-10) r (rel) = 1.67592e-06(tol = 0.0001)\n",
+      "2025-01-27 11:03:44.788 (  95.868s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
+      "2025-01-27 11:03:44.798 (  95.878s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:44.806 (  95.885s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:44.807 (  95.887s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 0.00743774 (tol = 1e-10) r (rel) = 0.0105438(tol = 0.0001)\n",
+      "2025-01-27 11:03:44.813 (  95.892s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:44.815 (  95.894s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 8.52743e-07 (tol = 1e-10) r (rel) = 1.20886e-06(tol = 0.0001)\n",
+      "2025-01-27 11:03:44.815 (  95.894s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
+      "2025-01-27 11:03:44.825 (  95.904s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:44.832 (  95.911s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:44.834 (  95.913s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 0.00604397 (tol = 1e-10) r (rel) = 0.00949354(tol = 0.0001)\n",
+      "2025-01-27 11:03:44.839 (  95.919s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:44.841 (  95.920s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 5.62075e-07 (tol = 1e-10) r (rel) = 8.82877e-07(tol = 0.0001)\n",
+      "2025-01-27 11:03:44.841 (  95.920s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
+      "2025-01-27 11:03:44.851 (  95.930s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:44.858 (  95.937s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:44.860 (  95.939s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 0.00494608 (tol = 1e-10) r (rel) = 0.00857829(tol = 0.0001)\n",
+      "2025-01-27 11:03:44.865 (  95.944s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:44.867 (  95.946s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 3.75749e-07 (tol = 1e-10) r (rel) = 6.51684e-07(tol = 0.0001)\n",
+      "2025-01-27 11:03:44.867 (  95.946s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
+      "2025-01-27 11:03:44.877 (  95.956s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:44.884 (  95.963s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:44.886 (  95.965s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 0.00407221 (tol = 1e-10) r (rel) = 0.00777514(tol = 0.0001)\n",
+      "2025-01-27 11:03:44.891 (  95.970s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:44.893 (  95.972s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 2.54264e-07 (tol = 1e-10) r (rel) = 4.8547e-07(tol = 0.0001)\n",
+      "2025-01-27 11:03:44.893 (  95.972s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
+      "2025-01-27 11:03:44.902 (  95.982s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:44.910 (  95.989s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:44.912 (  95.991s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 0.00337045 (tol = 1e-10) r (rel) = 0.00706615(tol = 0.0001)\n",
+      "2025-01-27 11:03:44.917 (  95.996s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:44.919 (  95.998s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 1.73892e-07 (tol = 1e-10) r (rel) = 3.64564e-07(tol = 0.0001)\n",
+      "2025-01-27 11:03:44.919 (  95.998s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
+      "2025-01-27 11:03:44.929 (  96.009s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
       "current time: 0.32\n",
       "current time: 0.34\n",
       "current time: 0.36000000000000004\n",
@@ -1098,7 +445,67 @@
       "current time: 0.4000000000000001\n",
       "current time: 0.4200000000000001\n",
       "current time: 0.4400000000000001\n",
-      "current time: 0.46000000000000013\n",
+      "current time: 0.46000000000000013\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2025-01-27 11:03:44.936 (  96.016s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:44.938 (  96.018s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 0.00280258 (tol = 1e-10) r (rel) = 0.00643705(tol = 0.0001)\n",
+      "2025-01-27 11:03:44.943 (  96.023s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:44.945 (  96.025s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 1.20041e-07 (tol = 1e-10) r (rel) = 2.75714e-07(tol = 0.0001)\n",
+      "2025-01-27 11:03:44.945 (  96.025s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
+      "2025-01-27 11:03:44.956 (  96.035s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:44.963 (  96.042s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:44.965 (  96.044s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 0.00233995 (tol = 1e-10) r (rel) = 0.0058763(tol = 0.0001)\n",
+      "2025-01-27 11:03:44.970 (  96.050s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:44.972 (  96.052s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 8.35552e-08 (tol = 1e-10) r (rel) = 2.09832e-07(tol = 0.0001)\n",
+      "2025-01-27 11:03:44.972 (  96.052s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
+      "2025-01-27 11:03:44.982 (  96.062s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:44.990 (  96.069s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:44.992 (  96.071s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 0.00196083 (tol = 1e-10) r (rel) = 0.0053745(tol = 0.0001)\n",
+      "2025-01-27 11:03:44.997 (  96.077s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:44.999 (  96.078s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 5.85897e-08 (tol = 1e-10) r (rel) = 1.60591e-07(tol = 0.0001)\n",
+      "2025-01-27 11:03:44.999 (  96.078s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
+      "2025-01-27 11:03:45.009 (  96.089s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.016 (  96.096s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.018 (  96.098s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 0.00164851 (tol = 1e-10) r (rel) = 0.00492384(tol = 0.0001)\n",
+      "2025-01-27 11:03:45.024 (  96.104s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.026 (  96.106s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 4.13562e-08 (tol = 1e-10) r (rel) = 1.23525e-07(tol = 0.0001)\n",
+      "2025-01-27 11:03:45.026 (  96.106s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
+      "2025-01-27 11:03:45.037 (  96.116s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.044 (  96.124s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.046 (  96.126s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 0.00139001 (tol = 1e-10) r (rel) = 0.00451783(tol = 0.0001)\n",
+      "2025-01-27 11:03:45.051 (  96.131s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.053 (  96.133s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 2.9366e-08 (tol = 1e-10) r (rel) = 9.54459e-08(tol = 0.0001)\n",
+      "2025-01-27 11:03:45.053 (  96.133s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
+      "2025-01-27 11:03:45.064 (  96.143s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.071 (  96.151s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.073 (  96.153s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 0.00117515 (tol = 1e-10) r (rel) = 0.00415099(tol = 0.0001)\n",
+      "2025-01-27 11:03:45.078 (  96.158s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.080 (  96.160s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 2.09643e-08 (tol = 1e-10) r (rel) = 7.40525e-08(tol = 0.0001)\n",
+      "2025-01-27 11:03:45.080 (  96.160s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
+      "2025-01-27 11:03:45.091 (  96.170s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.098 (  96.178s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.100 (  96.180s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 0.000995891 (tol = 1e-10) r (rel) = 0.0038187(tol = 0.0001)\n",
+      "2025-01-27 11:03:45.105 (  96.185s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.107 (  96.187s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 1.50395e-08 (tol = 1e-10) r (rel) = 5.76681e-08(tol = 0.0001)\n",
+      "2025-01-27 11:03:45.107 (  96.187s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
+      "2025-01-27 11:03:45.118 (  96.197s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.125 (  96.205s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.127 (  96.207s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 0.000845815 (tol = 1e-10) r (rel) = 0.00351698(tol = 0.0001)\n",
+      "2025-01-27 11:03:45.132 (  96.212s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.134 (  96.214s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 1.08369e-08 (tol = 1e-10) r (rel) = 4.50608e-08(tol = 0.0001)\n",
+      "2025-01-27 11:03:45.134 (  96.214s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
+      "2025-01-27 11:03:45.145 (  96.225s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
       "current time: 0.48000000000000015\n",
       "current time: 0.5000000000000001\n",
       "current time: 0.5200000000000001\n",
@@ -1106,7 +513,66 @@
       "current time: 0.5600000000000002\n",
       "current time: 0.5800000000000002\n",
       "current time: 0.6000000000000002\n",
-      "current time: 0.6200000000000002\n",
+      "current time: 0.6200000000000002\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2025-01-27 11:03:45.152 (  96.232s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.154 (  96.234s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 0.000719778 (tol = 1e-10) r (rel) = 0.00324245(tol = 0.0001)\n",
+      "2025-01-27 11:03:45.160 (  96.239s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.162 (  96.241s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 7.84016e-09 (tol = 1e-10) r (rel) = 3.53182e-08(tol = 0.0001)\n",
+      "2025-01-27 11:03:45.162 (  96.241s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
+      "2025-01-27 11:03:45.173 (  96.252s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.180 (  96.259s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.182 (  96.261s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 0.00061363 (tol = 1e-10) r (rel) = 0.00299216(tol = 0.0001)\n",
+      "2025-01-27 11:03:45.187 (  96.266s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.189 (  96.269s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 5.693e-09 (tol = 1e-10) r (rel) = 2.776e-08(tol = 0.0001)\n",
+      "2025-01-27 11:03:45.189 (  96.269s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
+      "2025-01-27 11:03:45.199 (  96.279s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.207 (  96.286s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.209 (  96.288s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 0.000524 (tol = 1e-10) r (rel) = 0.00276357(tol = 0.0001)\n",
+      "2025-01-27 11:03:45.214 (  96.294s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.216 (  96.295s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 4.14779e-09 (tol = 1e-10) r (rel) = 2.18754e-08(tol = 0.0001)\n",
+      "2025-01-27 11:03:45.216 (  96.295s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
+      "2025-01-27 11:03:45.226 (  96.306s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.233 (  96.313s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.235 (  96.315s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 0.000448138 (tol = 1e-10) r (rel) = 0.00255446(tol = 0.0001)\n",
+      "2025-01-27 11:03:45.241 (  96.320s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.243 (  96.322s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 3.03129e-09 (tol = 1e-10) r (rel) = 1.72789e-08(tol = 0.0001)\n",
+      "2025-01-27 11:03:45.243 (  96.322s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
+      "2025-01-27 11:03:45.253 (  96.333s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.260 (  96.340s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.262 (  96.342s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 0.00038379 (tol = 1e-10) r (rel) = 0.00236289(tol = 0.0001)\n",
+      "2025-01-27 11:03:45.267 (  96.347s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.269 (  96.349s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 2.22161e-09 (tol = 1e-10) r (rel) = 1.36778e-08(tol = 0.0001)\n",
+      "2025-01-27 11:03:45.269 (  96.349s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
+      "2025-01-27 11:03:45.280 (  96.360s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.287 (  96.367s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.289 (  96.369s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 0.0003291 (tol = 1e-10) r (rel) = 0.00218714(tol = 0.0001)\n",
+      "2025-01-27 11:03:45.294 (  96.374s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.296 (  96.376s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 1.63239e-09 (tol = 1e-10) r (rel) = 1.08486e-08(tol = 0.0001)\n",
+      "2025-01-27 11:03:45.296 (  96.376s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
+      "2025-01-27 11:03:45.307 (  96.386s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.314 (  96.393s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.316 (  96.395s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 0.000282533 (tol = 1e-10) r (rel) = 0.0020257(tol = 0.0001)\n",
+      "2025-01-27 11:03:45.321 (  96.401s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.323 (  96.403s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 1.20232e-09 (tol = 1e-10) r (rel) = 8.6204e-09(tol = 0.0001)\n",
+      "2025-01-27 11:03:45.323 (  96.403s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
+      "2025-01-27 11:03:45.333 (  96.413s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.341 (  96.420s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.342 (  96.422s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 0.000242816 (tol = 1e-10) r (rel) = 0.00187724(tol = 0.0001)\n",
+      "2025-01-27 11:03:45.348 (  96.427s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.350 (  96.429s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 8.87502e-10 (tol = 1e-10) r (rel) = 6.86137e-09(tol = 0.0001)\n",
+      "2025-01-27 11:03:45.350 (  96.429s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
       "current time: 0.6400000000000002\n",
       "current time: 0.6600000000000003\n",
       "current time: 0.6800000000000003\n",
@@ -1114,14 +580,129 @@
       "current time: 0.7200000000000003\n",
       "current time: 0.7400000000000003\n",
       "current time: 0.7600000000000003\n",
-      "current time: 0.7800000000000004\n",
+      "current time: 0.7800000000000004\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2025-01-27 11:03:45.360 (  96.440s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.368 (  96.447s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.370 (  96.449s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 0.000208889 (tol = 1e-10) r (rel) = 0.00174056(tol = 0.0001)\n",
+      "2025-01-27 11:03:45.375 (  96.455s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.377 (  96.457s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 6.56438e-10 (tol = 1e-10) r (rel) = 5.46973e-09(tol = 0.0001)\n",
+      "2025-01-27 11:03:45.377 (  96.457s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
+      "2025-01-27 11:03:45.387 (  96.467s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.395 (  96.474s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.397 (  96.476s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 0.000179867 (tol = 1e-10) r (rel) = 0.00161461(tol = 0.0001)\n",
+      "2025-01-27 11:03:45.402 (  96.482s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.404 (  96.483s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 4.86453e-10 (tol = 1e-10) r (rel) = 4.36672e-09(tol = 0.0001)\n",
+      "2025-01-27 11:03:45.404 (  96.483s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
+      "2025-01-27 11:03:45.414 (  96.494s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.422 (  96.501s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.424 (  96.503s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 0.000155008 (tol = 1e-10) r (rel) = 0.00149843(tol = 0.0001)\n",
+      "2025-01-27 11:03:45.429 (  96.509s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.431 (  96.510s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 3.61096e-10 (tol = 1e-10) r (rel) = 3.49065e-09(tol = 0.0001)\n",
+      "2025-01-27 11:03:45.431 (  96.510s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
+      "2025-01-27 11:03:45.441 (  96.521s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.448 (  96.528s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.450 (  96.530s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 0.000133688 (tol = 1e-10) r (rel) = 0.00139119(tol = 0.0001)\n",
+      "2025-01-27 11:03:45.456 (  96.535s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.458 (  96.537s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 2.68475e-10 (tol = 1e-10) r (rel) = 2.79381e-09(tol = 0.0001)\n",
+      "2025-01-27 11:03:45.458 (  96.537s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
+      "2025-01-27 11:03:45.468 (  96.547s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.475 (  96.555s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.477 (  96.557s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 0.000115384 (tol = 1e-10) r (rel) = 0.00129211(tol = 0.0001)\n",
+      "2025-01-27 11:03:45.482 (  96.562s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.484 (  96.564s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 1.99909e-10 (tol = 1e-10) r (rel) = 2.23864e-09(tol = 0.0001)\n",
+      "2025-01-27 11:03:45.484 (  96.564s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
+      "2025-01-27 11:03:45.495 (  96.574s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.502 (  96.581s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.504 (  96.583s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 9.96523e-05 (tol = 1e-10) r (rel) = 0.0012005(tol = 0.0001)\n",
+      "2025-01-27 11:03:45.509 (  96.589s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.511 (  96.591s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 1.49034e-10 (tol = 1e-10) r (rel) = 1.7954e-09(tol = 0.0001)\n",
+      "2025-01-27 11:03:45.511 (  96.591s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
+      "2025-01-27 11:03:45.521 (  96.601s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.528 (  96.608s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.530 (  96.610s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 8.61186e-05 (tol = 1e-10) r (rel) = 0.00111576(tol = 0.0001)\n",
+      "2025-01-27 11:03:45.535 (  96.615s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.537 (  96.617s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 1.11265e-10 (tol = 1e-10) r (rel) = 1.44156e-09(tol = 0.0001)\n",
+      "2025-01-27 11:03:45.537 (  96.617s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
+      "2025-01-27 11:03:45.548 (  96.628s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.555 (  96.635s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.557 (  96.637s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 7.44654e-05 (tol = 1e-10) r (rel) = 0.0010373(tol = 0.0001)\n",
+      "2025-01-27 11:03:45.562 (  96.642s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.564 (  96.644s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 8.31781e-11 (tol = 1e-10) r (rel) = 1.15867e-09(tol = 0.0001)\n",
+      "2025-01-27 11:03:45.564 (  96.644s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
       "current time: 0.8000000000000004\n",
       "current time: 0.8200000000000004\n",
       "current time: 0.8400000000000004\n",
       "current time: 0.8600000000000004\n",
       "current time: 0.8800000000000004\n",
       "current time: 0.9000000000000005\n",
-      "current time: 0.9200000000000005\n",
+      "current time: 0.9200000000000005\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2025-01-27 11:03:45.575 (  96.655s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.582 (  96.662s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.584 (  96.664s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 6.44232e-05 (tol = 1e-10) r (rel) = 0.000964637(tol = 0.0001)\n",
+      "2025-01-27 11:03:45.589 (  96.669s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.591 (  96.671s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 6.22347e-11 (tol = 1e-10) r (rel) = 9.31868e-10(tol = 0.0001)\n",
+      "2025-01-27 11:03:45.591 (  96.671s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
+      "2025-01-27 11:03:45.602 (  96.681s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.609 (  96.689s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.611 (  96.691s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 5.57626e-05 (tol = 1e-10) r (rel) = 0.000897292(tol = 0.0001)\n",
+      "2025-01-27 11:03:45.616 (  96.696s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.618 (  96.698s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 4.66044e-11 (tol = 1e-10) r (rel) = 7.49925e-10(tol = 0.0001)\n",
+      "2025-01-27 11:03:45.618 (  96.698s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
+      "2025-01-27 11:03:45.628 (  96.708s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.636 (  96.715s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.638 (  96.717s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 4.82882e-05 (tol = 1e-10) r (rel) = 0.00083485(tol = 0.0001)\n",
+      "2025-01-27 11:03:45.643 (  96.723s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.645 (  96.725s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 3.49294e-11 (tol = 1e-10) r (rel) = 6.0389e-10(tol = 0.0001)\n",
+      "2025-01-27 11:03:45.645 (  96.725s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
+      "2025-01-27 11:03:45.655 (  96.735s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.662 (  96.742s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.664 (  96.744s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 4.18333e-05 (tol = 1e-10) r (rel) = 0.000776925(tol = 0.0001)\n",
+      "2025-01-27 11:03:45.670 (  96.749s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.672 (  96.752s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 2.62143e-11 (tol = 1e-10) r (rel) = 4.8685e-10(tol = 0.0001)\n",
+      "2025-01-27 11:03:45.672 (  96.752s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
+      "2025-01-27 11:03:45.682 (  96.762s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.689 (  96.769s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.692 (  96.771s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 3.62556e-05 (tol = 1e-10) r (rel) = 0.00072317(tol = 0.0001)\n",
+      "2025-01-27 11:03:45.701 (  96.780s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.720 (  96.800s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 1.96853e-11 (tol = 1e-10) r (rel) = 3.92653e-10(tol = 0.0001)\n",
+      "2025-01-27 11:03:45.720 (  96.800s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
+      "2025-01-27 11:03:45.735 (  96.814s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.743 (  96.822s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.745 (  96.824s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 3.14329e-05 (tol = 1e-10) r (rel) = 0.000673263(tol = 0.0001)\n",
+      "2025-01-27 11:03:45.750 (  96.829s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.752 (  96.831s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 1.47859e-11 (tol = 1e-10) r (rel) = 3.16699e-10(tol = 0.0001)\n",
+      "2025-01-27 11:03:45.752 (  96.831s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
+      "2025-01-27 11:03:45.763 (  96.842s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.770 (  96.850s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.773 (  96.853s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 2.7261e-05 (tol = 1e-10) r (rel) = 0.000626912(tol = 0.0001)\n",
+      "2025-01-27 11:03:45.779 (  96.858s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.780 (  96.860s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 1.11302e-11 (tol = 1e-10) r (rel) = 2.55958e-10(tol = 0.0001)\n",
+      "2025-01-27 11:03:45.780 (  96.860s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
+      "2025-01-27 11:03:45.792 (  96.872s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
       "current time: 0.9400000000000005\n",
       "current time: 0.9600000000000005\n",
       "current time: 0.9800000000000005\n"
@@ -1131,96 +712,23 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "2025-01-24 13:33:25.788 ( 135.083s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.789 ( 135.083s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.789 ( 135.083s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 3.91345e-05 (tol = 1e-10) r (rel) = 0.00139117(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.789 ( 135.084s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.790 ( 135.084s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 7.85865e-11 (tol = 1e-10) r (rel) = 2.79363e-09(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.790 ( 135.084s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
-      "2025-01-24 13:33:25.793 ( 135.088s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.794 ( 135.089s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.794 ( 135.089s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 3.37762e-05 (tol = 1e-10) r (rel) = 0.00129209(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.795 ( 135.089s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.795 ( 135.090s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 5.85161e-11 (tol = 1e-10) r (rel) = 2.2385e-09(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.795 ( 135.090s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
-      "2025-01-24 13:33:25.798 ( 135.093s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.799 ( 135.094s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.799 ( 135.094s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 2.91711e-05 (tol = 1e-10) r (rel) = 0.00120049(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.800 ( 135.094s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.800 ( 135.094s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 4.36288e-11 (tol = 1e-10) r (rel) = 1.79547e-09(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.800 ( 135.094s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
-      "2025-01-24 13:33:25.804 ( 135.098s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.805 ( 135.099s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.805 ( 135.099s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 2.52094e-05 (tol = 1e-10) r (rel) = 0.00111574(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.805 ( 135.100s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.805 ( 135.100s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 3.25705e-11 (tol = 1e-10) r (rel) = 1.44154e-09(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.805 ( 135.100s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
-      "2025-01-24 13:33:25.810 ( 135.105s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.811 ( 135.106s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.811 ( 135.106s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 2.17981e-05 (tol = 1e-10) r (rel) = 0.00103729(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.812 ( 135.106s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.812 ( 135.106s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 2.43438e-11 (tol = 1e-10) r (rel) = 1.15843e-09(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.812 ( 135.106s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
-      "2025-01-24 13:33:25.816 ( 135.110s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.816 ( 135.111s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.816 ( 135.111s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 1.88585e-05 (tol = 1e-10) r (rel) = 0.000964622(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.817 ( 135.111s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.817 ( 135.112s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 1.82144e-11 (tol = 1e-10) r (rel) = 9.31678e-10(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.817 ( 135.112s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
-      "2025-01-24 13:33:25.821 ( 135.116s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.822 ( 135.116s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.822 ( 135.117s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 1.63232e-05 (tol = 1e-10) r (rel) = 0.000897278(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.823 ( 135.117s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.823 ( 135.117s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 1.36416e-11 (tol = 1e-10) r (rel) = 7.49871e-10(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.823 ( 135.117s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
-      "2025-01-24 13:33:25.829 ( 135.123s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.829 ( 135.124s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.830 ( 135.124s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 1.41353e-05 (tol = 1e-10) r (rel) = 0.000834836(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.830 ( 135.125s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.830 ( 135.125s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 1.02269e-11 (tol = 1e-10) r (rel) = 6.04004e-10(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.830 ( 135.125s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
-      "2025-01-24 13:33:25.835 ( 135.130s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.836 ( 135.130s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.836 ( 135.130s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 1.22458e-05 (tol = 1e-10) r (rel) = 0.000776912(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.837 ( 135.131s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.837 ( 135.131s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 7.67428e-12 (tol = 1e-10) r (rel) = 4.86882e-10(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.837 ( 135.131s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
-      "2025-01-24 13:33:25.841 ( 135.135s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.842 ( 135.136s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.842 ( 135.136s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 1.0613e-05 (tol = 1e-10) r (rel) = 0.000723157(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.842 ( 135.137s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.843 ( 135.137s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 5.76143e-12 (tol = 1e-10) r (rel) = 3.92578e-10(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.843 ( 135.137s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
-      "2025-01-24 13:33:25.846 ( 135.141s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.847 ( 135.142s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.847 ( 135.142s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 9.20125e-06 (tol = 1e-10) r (rel) = 0.000673251(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.848 ( 135.142s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.848 ( 135.143s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 4.32974e-12 (tol = 1e-10) r (rel) = 3.16805e-10(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.848 ( 135.143s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
-      "2025-01-24 13:33:25.851 ( 135.146s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.852 ( 135.147s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.852 ( 135.147s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 7.98002e-06 (tol = 1e-10) r (rel) = 0.000626901(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.853 ( 135.147s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.853 ( 135.147s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 3.25567e-12 (tol = 1e-10) r (rel) = 2.55762e-10(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.853 ( 135.147s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
-      "2025-01-24 13:33:25.856 ( 135.151s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.857 ( 135.152s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.857 ( 135.152s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 6.92304e-06 (tol = 1e-10) r (rel) = 0.000583838(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.858 ( 135.152s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.858 ( 135.153s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 2.45029e-12 (tol = 1e-10) r (rel) = 2.06639e-10(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.858 ( 135.153s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
-      "2025-01-24 13:33:25.862 ( 135.156s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.862 ( 135.157s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.862 ( 135.157s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 6.00783e-06 (tol = 1e-10) r (rel) = 0.000543818(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.863 ( 135.157s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.863 ( 135.158s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 1.84607e-12 (tol = 1e-10) r (rel) = 1.67103e-10(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.863 ( 135.158s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
-      "2025-01-24 13:33:25.866 ( 135.161s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.867 ( 135.162s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.867 ( 135.162s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 5.21502e-06 (tol = 1e-10) r (rel) = 0.000506613(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.868 ( 135.162s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
-      "2025-01-24 13:33:25.868 ( 135.162s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 1.38919e-12 (tol = 1e-10) r (rel) = 1.34953e-10(tol = 0.0001)\n",
-      "2025-01-24 13:33:25.868 ( 135.162s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n"
+      "2025-01-27 11:03:45.800 (  96.879s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.802 (  96.881s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 2.36503e-05 (tol = 1e-10) r (rel) = 0.000583849(tol = 0.0001)\n",
+      "2025-01-27 11:03:45.807 (  96.887s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.809 (  96.889s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 8.37079e-12 (tol = 1e-10) r (rel) = 2.06648e-10(tol = 0.0001)\n",
+      "2025-01-27 11:03:45.809 (  96.889s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
+      "2025-01-27 11:03:45.820 (  96.900s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.829 (  96.909s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.831 (  96.910s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 2.05238e-05 (tol = 1e-10) r (rel) = 0.000543828(tol = 0.0001)\n",
+      "2025-01-27 11:03:45.836 (  96.916s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.838 (  96.918s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 6.3053e-12 (tol = 1e-10) r (rel) = 1.67075e-10(tol = 0.0001)\n",
+      "2025-01-27 11:03:45.838 (  96.918s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n",
+      "2025-01-27 11:03:45.849 (  96.929s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.857 (  96.937s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.859 (  96.939s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 2: r (abs) = 1.78154e-05 (tol = 1e-10) r (rel) = 0.000506623(tol = 0.0001)\n",
+      "2025-01-27 11:03:45.864 (  96.944s) [main            ]              petsc.cpp:700   INFO| PETSc Krylov solver starting to solve system.\n",
+      "2025-01-27 11:03:45.866 (  96.946s) [main            ]       NewtonSolver.cpp:38    INFO| Newton iteration 3: r (abs) = 4.7469e-12 (tol = 1e-10) r (rel) = 1.3499e-10(tol = 0.0001)\n",
+      "2025-01-27 11:03:45.866 (  96.946s) [main            ]       NewtonSolver.cpp:252   INFO| Newton solver finished in 3 iterations and 3 linear solver iterations.\n"
      ]
     }
    ],
@@ -1232,7 +740,7 @@
     "t_end_num = t_end#1.\n",
     "dt_num = dt#0.01\n",
     "# Solver and mesh parameters\n",
-    "number_cells = N_COLLOCATION_POINTS+1\n",
+    "number_cells = N_COLLOCATION_POINTS+1 # 1024*4\n",
     "relax_param = 1.\n",
     "return_type = 'Vector'\n",
     "rtol = 1e-4\n",
@@ -1244,12 +752,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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       "text/plain": [
        "<Figure size 1200x400 with 2 Axes>"
       ]
@@ -1262,7 +770,7 @@
     "fig, axs = plt.subplots(1, 2, figsize=(12, 4))\n",
     "# for index, time in enumerate(t_history):\n",
     "for index in range(ntime):\n",
-    "    axs[0].plot(mesh_full, Theta_history[index])\n",
+    "    axs[0].plot(x_num, Theta_history[index])\n",
     "    axs[1].plot(mesh_full, Theta_PINN[index])\n",
     "fig.legend()\n",
     "[ax.grid() for ax in axs]\n",
@@ -1275,16 +783,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "((352,), (51,), (50,), (51, 352), (50, 352))"
+       "((352,), (51,), (50,), (51, 4097), (50, 352))"
       ]
      },
-     "execution_count": 34,
+     "execution_count": 15,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1295,12 +803,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
+      "image/png": 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",
       "text/plain": [
        "<Figure size 1200x600 with 2 Axes>"
       ]
@@ -1315,7 +823,7 @@
     "\n",
     "# 3D plot for Numerical solution\n",
     "ax1 = fig_3d.add_subplot(121, projection='3d')\n",
-    "X, Y = np.meshgrid(mesh_full, t_history)\n",
+    "X, Y = np.meshgrid(x_num, t_history)\n",
     "Z = np.array(Theta_history)\n",
     "ax1.plot_surface(X, Y, Z, cmap='viridis')\n",
     "ax1.set_title('Numerical Solution')\n",
@@ -1367,7 +875,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1380,7 +888,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [
     {
@@ -1389,7 +897,7 @@
        "((50,), (49,), (49,))"
       ]
      },
-     "execution_count": 25,
+     "execution_count": 18,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1400,12 +908,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 19,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -1427,18 +935,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 20,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "MAE: 0.0582\n",
-      "MAPE: 0.0675\n",
-      "MSE: 0.0044\n",
-      "RMSE: 0.0665\n",
-      "R2: 0.9948\n"
+      "MAE: 0.0541\n",
+      "MAPE: 0.0682\n",
+      "MSE: 0.0031\n",
+      "RMSE: 0.0555\n",
+      "R2: 0.9966\n"
      ]
     }
    ],
@@ -1458,12 +966,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 21,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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       "text/plain": [
        "<Figure size 1200x400 with 2 Axes>"
       ]
@@ -1486,6 +994,13 @@
     "fig.tight_layout()\n",
     "fig.show()"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {