@@ -65,7 +65,7 @@

     "\n",

     "    a = 0.01\n",

     "    if wait:\n",

-    "        sleep(random())\n",

+    "        sleep(random()*10)\n",

     "    return x + a**2 / (a**2 + (x - offset)**2)"

    ]

   },

@@ -152,7 +152,7 @@

     "xs = np.linspace(-1.0, 1.0, len(learner.data))\n",

     "learner2.add_data(xs, map(partial(f, wait=False), xs))\n",

     "\n",

-    "learner2.plot()"

+    "learner.plot() + learner2.plot()"

    ]

   },

   {

@@ -193,7 +193,7 @@

    "metadata": {},

    "outputs": [],

    "source": [

-    "runner = adaptive.Runner(learner, goal=lambda l: l.loss() < 0.01, log=True)"

+    "runner = adaptive.Runner(learner, goal=lambda l: l.loss() < 0.01)"

    ]

   },

   {

@@ -207,11 +207,11 @@

     "from adaptive.learner import *\n",

     "\n",

     "def plot(self):\n",

-    "    tri = self.ip.tri\n",

+    "    tri = self.ip().tri\n",

     "    return hv.Contours([p for p in tri.points[tri.vertices]])\n",

     "\n",

     "def plot_poly(self):\n",

-    "    tri = self.ip.tri\n",

+    "    tri = self.ip().tri\n",

     "    return hv.Polygons([p for p in tri.points[tri.vertices]])\n",

     "\n",

     "\n",