diff --git a/docs/interactive/Accessing State Dependent Properties.ipynb b/docs/interactive/Accessing State Dependent Properties.ipynb
index 24f4c612..c5f715c1 100644
--- a/docs/interactive/Accessing State Dependent Properties.ipynb	
+++ b/docs/interactive/Accessing State Dependent Properties.ipynb	
@@ -120,7 +120,50 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>x</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   x\n",
+       "0  2"
+      ]
+     },
+     "execution_count": null,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "cycle_with_state_dep_properties.run().data.conditions[-1]"
    ]
@@ -136,7 +179,50 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
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+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
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+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>x</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
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+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   x\n",
+       "0  1"
+      ]
+     },
+     "execution_count": null,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "cycle_with_state_dep_properties.run(num_cycles=9).data.conditions[-1]"
    ]
@@ -153,10 +239,37 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "ename": "ValueError",
+     "evalue": "a cannot be empty unless no samples are taken",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
+      "Cell \u001b[0;32mIn[6], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mcycle_with_state_dep_properties\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrun\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[0;32m~/Developer/autora-workflow/src/autora/workflow/cycle.py:82\u001b[0m, in \u001b[0;36mCycle.run\u001b[0;34m(self, num_cycles)\u001b[0m\n\u001b[1;32m     80\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mrun\u001b[39m(\u001b[38;5;28mself\u001b[39m, num_cycles: \u001b[38;5;28mint\u001b[39m \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m1\u001b[39m):\n\u001b[1;32m     81\u001b[0m \u001b[38;5;250m    \u001b[39m\u001b[38;5;124;03m\"\"\"Execute the next step in the cycle.\"\"\"\u001b[39;00m\n\u001b[0;32m---> 82\u001b[0m     \u001b[38;5;28;43msuper\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrun\u001b[49m\u001b[43m(\u001b[49m\u001b[43mnum_steps\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mnum_cycles\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     83\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\n",
+      "File \u001b[0;32m~/Developer/autora-workflow/src/autora/workflow/base.py:85\u001b[0m, in \u001b[0;36mBaseController.run\u001b[0;34m(self, num_steps)\u001b[0m\n\u001b[1;32m     83\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"Run the next num_steps planned steps in the workflow.\"\"\"\u001b[39;00m\n\u001b[1;32m     84\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m i \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mrange\u001b[39m(num_steps):\n\u001b[0;32m---> 85\u001b[0m     \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrun_once\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     86\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\n",
+      "File \u001b[0;32m~/Developer/autora-workflow/src/autora/workflow/base.py:71\u001b[0m, in \u001b[0;36mBaseController.run_once\u001b[0;34m(self, step_name)\u001b[0m\n\u001b[1;32m     68\u001b[0m _logger\u001b[38;5;241m.\u001b[39mdebug(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mnext_params\u001b[38;5;132;01m=}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m     70\u001b[0m \u001b[38;5;66;03m# Execute\u001b[39;00m\n\u001b[0;32m---> 71\u001b[0m result \u001b[38;5;241m=\u001b[39m \u001b[43mnext_function\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mstate\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mparams\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mnext_params\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     72\u001b[0m _logger\u001b[38;5;241m.\u001b[39mdebug(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mresult\u001b[38;5;132;01m=}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m     74\u001b[0m \u001b[38;5;66;03m# Update\u001b[39;00m\n",
+      "File \u001b[0;32m~/Developer/autora-workflow/src/autora/workflow/executor.py:174\u001b[0m, in \u001b[0;36mfull_cycle_wrapper.<locals>._executor_full_cycle\u001b[0;34m(state, params)\u001b[0m\n\u001b[1;32m    169\u001b[0m experimentalist_params \u001b[38;5;241m=\u001b[39m params\u001b[38;5;241m.\u001b[39mget(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mexperimentalist\u001b[39m\u001b[38;5;124m\"\u001b[39m, {})\n\u001b[1;32m    171\u001b[0m experimentalist_executor \u001b[38;5;241m=\u001b[39m from_experimentalist_pipeline(\n\u001b[1;32m    172\u001b[0m     experimentalist_pipeline\n\u001b[1;32m    173\u001b[0m )\n\u001b[0;32m--> 174\u001b[0m experimentalist_result \u001b[38;5;241m=\u001b[39m \u001b[43mexperimentalist_executor\u001b[49m\u001b[43m(\u001b[49m\u001b[43mstate\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mexperimentalist_params\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    176\u001b[0m experiment_runner_params \u001b[38;5;241m=\u001b[39m params\u001b[38;5;241m.\u001b[39mget(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mexperiment_runner\u001b[39m\u001b[38;5;124m\"\u001b[39m, {})\n\u001b[1;32m    177\u001b[0m experiment_runner_executor \u001b[38;5;241m=\u001b[39m from_experiment_runner_callable(\n\u001b[1;32m    178\u001b[0m     experiment_runner_callable\n\u001b[1;32m    179\u001b[0m )\n",
+      "File \u001b[0;32m~/Developer/autora-workflow/src/autora/workflow/executor.py:64\u001b[0m, in \u001b[0;36mfrom_experimentalist_pipeline.<locals>._executor_experimentalist\u001b[0;34m(state, params)\u001b[0m\n\u001b[1;32m     62\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_executor_experimentalist\u001b[39m(state: SupportsControllerState, params: Dict):\n\u001b[1;32m     63\u001b[0m     params_ \u001b[38;5;241m=\u001b[39m resolve_state_params(params, state)\n\u001b[0;32m---> 64\u001b[0m     new_conditions \u001b[38;5;241m=\u001b[39m \u001b[43mpipeline\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mparams_\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     66\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(new_conditions, pd\u001b[38;5;241m.\u001b[39mDataFrame):\n\u001b[1;32m     67\u001b[0m         new_conditions_array \u001b[38;5;241m=\u001b[39m new_conditions\n",
+      "File \u001b[0;32m~/Developer/autora-workflow/.venv/lib/python3.8/site-packages/autora/experimentalist/pipeline.py:171\u001b[0m, in \u001b[0;36mPipeline.__call__\u001b[0;34m(self, ex, **params)\u001b[0m\n\u001b[1;32m    169\u001b[0m     \u001b[38;5;28;01massert\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(pipe, Pipe)\n\u001b[1;32m    170\u001b[0m     all_params_for_pipe \u001b[38;5;241m=\u001b[39m merged_params\u001b[38;5;241m.\u001b[39mget(name, \u001b[38;5;28mdict\u001b[39m())\n\u001b[0;32m--> 171\u001b[0m     results\u001b[38;5;241m.\u001b[39mappend(\u001b[43mpipe\u001b[49m\u001b[43m(\u001b[49m\u001b[43mresults\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m-\u001b[39;49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m]\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[43mall_params_for_pipe\u001b[49m\u001b[43m)\u001b[49m)\n\u001b[1;32m    173\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m results[\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m]\n",
+      "Cell \u001b[0;32mIn[3], line 9\u001b[0m, in \u001b[0;36mcustom_random_sampler\u001b[0;34m(conditions, n)\u001b[0m\n\u001b[1;32m      8\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mcustom_random_sampler\u001b[39m(conditions, n):\n\u001b[0;32m----> 9\u001b[0m     sampled_conditions \u001b[38;5;241m=\u001b[39m \u001b[43mrandom_sampler_rng\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mchoice\u001b[49m\u001b[43m(\u001b[49m\u001b[43mconditions\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43msize\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mn\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mreplace\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m)\u001b[49m\n\u001b[1;32m     10\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m sampled_conditions\n",
+      "File \u001b[0;32m_generator.pyx:729\u001b[0m, in \u001b[0;36mnumpy.random._generator.Generator.choice\u001b[0;34m()\u001b[0m\n",
+      "\u001b[0;31mValueError\u001b[0m: a cannot be empty unless no samples are taken"
+     ]
+    }
+   ],
    "source": [
     "cycle_with_state_dep_properties.run()\n"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {