diff --git a/.idea/autora.iml b/.idea/autora.iml
index 7bfbf6e7a..e163492a5 100644
--- a/.idea/autora.iml
+++ b/.idea/autora.iml
@@ -5,8 +5,6 @@
       <sourceFolder url="file://$MODULE_DIR$/tests" isTestSource="true" />
       <excludeFolder url="file://$MODULE_DIR$/.pytest_cache" />
       <excludeFolder url="file://$MODULE_DIR$/.mypy_cache" />
-      <excludeFolder url="file://$MODULE_DIR$/example/studies/Weber Sampled/modeling" />
-      <excludeFolder url="file://$MODULE_DIR$/example/studies/Weber/modeling" />
       <excludeFolder url="file://$MODULE_DIR$/.venv" />
       <excludeFolder url="file://$MODULE_DIR$/.vscode" />
       <excludeFolder url="file://$MODULE_DIR$/site" />
@@ -25,4 +23,4 @@
   <component name="TestRunnerService">
     <option name="PROJECT_TEST_RUNNER" value="py.test" />
   </component>
-</module>
\ No newline at end of file
+</module>
diff --git a/example/cycle/cycle_results_plots.ipynb b/docs/cycle/cycle_results_plots.ipynb
similarity index 99%
rename from example/cycle/cycle_results_plots.ipynb
rename to docs/cycle/cycle_results_plots.ipynb
index 6e99c8c52..d01f36ef0 100644
--- a/example/cycle/cycle_results_plots.ipynb
+++ b/docs/cycle/cycle_results_plots.ipynb
@@ -6,20 +6,26 @@
     " # Examples of using cycle results plotting functions"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%% md\n"
-    }
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "outputs": [],
+   "source": [
+    "# Uncomment the following line when running on Google Colab\n",
+    "# !pip install autora"
+   ],
+   "metadata": {
+    "collapsed": false
    }
   },
   {
    "cell_type": "code",
    "execution_count": 1,
    "metadata": {
-    "collapsed": true,
-    "pycharm": {
-     "name": "#%%\n"
-    }
+    "collapsed": true
    },
    "outputs": [],
    "source": [
@@ -99,10 +105,7 @@
     "cycle.run(5)"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -115,10 +118,7 @@
     "* Default panel configuration is 4 plots to a row."
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%% md\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -139,10 +139,7 @@
     "plot_results_panel_2d(cycle);  # Add semicolon to supress creating two figures in jupyter notebook"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -151,10 +148,7 @@
     "### Default parameters can be changed by passing in keywords"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%% md\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -178,10 +172,7 @@
     "                      );"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -194,10 +185,7 @@
     "   * Below shows ways to specify the parameters of the [scatter](https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.scatter.html) points and theory [line](https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.plot.html)."
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%% md\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -224,10 +212,7 @@
     "                      );"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -236,10 +221,7 @@
     "Saving the figure to an object (above) will allow you to cycle through the axes to make panel-specific edits."
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%% md\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -265,10 +247,7 @@
     "fig\n"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -280,10 +259,7 @@
     "2. **Slice**: Constructed with `slice()` or `np.s_[]`"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%% md\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -334,10 +310,7 @@
     "fig.suptitle('Last Cycle')"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -370,10 +343,7 @@
     "fig.supxlabel('x1', y=0.1)"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -423,10 +393,7 @@
     "fig2.suptitle('Last 2 Cycles')"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -436,10 +403,7 @@
     "The 3D plotter has similar functionality as the 2D plotter but will only work with problem spaces where there are exactly 2 independent variable values. Only one dependent value can be plotted at a time."
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%% md\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -508,10 +472,7 @@
     "cycle_mlr.run(5)"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -532,10 +493,7 @@
     "fig = plot_results_panel_3d(cycle_mlr);  # Add semicolon to supress creating two figures in jupyter notebook"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -559,10 +517,7 @@
     "                      );"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -589,10 +544,7 @@
     "                            );\n"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -607,10 +559,7 @@
     "</div>\n"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%% md\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -638,10 +587,7 @@
     "                            );"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -669,10 +615,7 @@
     "                            );\n"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
+    "collapsed": false
    }
   }
  ],
@@ -697,4 +640,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 0
-}
\ No newline at end of file
+}
diff --git a/example/cycle/cycle_scoring.ipynb b/docs/cycle/cycle_scoring.ipynb
similarity index 99%
rename from example/cycle/cycle_scoring.ipynb
rename to docs/cycle/cycle_scoring.ipynb
index 9f4bb6421..ee048bd39 100644
--- a/example/cycle/cycle_scoring.ipynb
+++ b/docs/cycle/cycle_scoring.ipynb
@@ -3,26 +3,32 @@
   {
    "cell_type": "markdown",
    "source": [
-    "# Cycle Scoring\n",
+    "# Scoring\n",
     "This notebook shows how to use autora.cycle scoring tools.\n",
     "\n",
     "We'll be using the [Iris toy dataset](https://scikit-learn.org/stable/datasets/toy_dataset.html#iris-plants-dataset) from sklearn to create a simple logistic regression cycle. This model will classify samples into different species of irises based on flower measurements. The dataset will be split between a training set and test set; the test set will be withheld for the scoring metrics."
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%% md\n"
-    }
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "outputs": [],
+   "source": [
+    "# Uncomment the following line when running on Google Colab\n",
+    "# !pip install autora"
+   ],
+   "metadata": {
+    "collapsed": false
    }
   },
   {
    "cell_type": "code",
    "execution_count": 1,
    "metadata": {
-    "collapsed": true,
-    "pycharm": {
-     "name": "#%%\n"
-    }
+    "collapsed": true
    },
    "outputs": [],
    "source": [
@@ -49,10 +55,7 @@
     "Data is split where 33% is reserved for testing."
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%% md\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -65,10 +68,7 @@
     "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=.33, random_state=1)"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -80,10 +80,7 @@
     "3. **Experiment Runner** - Creates an oracle that uses the full dataset to match experimental independent variables (flower measurements) and returns the dependent variable (species)."
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%% md\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -155,10 +152,7 @@
     "cycle.run(20)"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -176,10 +170,7 @@
     "\n"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%% md\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -209,10 +200,7 @@
     "print(f'Specified scorer - precision: {np.around(results_specified_precision, 2).tolist()}')"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -221,10 +209,7 @@
     "Note that the \"default scorer\" and \"specified scorer 1\" results should be the same because the `LogisticRegression` estimator's default is the `accuracy_score` function."
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%% md\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -238,10 +223,7 @@
     "Below are several examples."
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%% md\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -275,10 +257,7 @@
     "                 figsize=(5,3));"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -302,10 +281,7 @@
     "                 scorer_kw=dict(average='weighted', zero_division=0));"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -329,10 +305,7 @@
     "                 scorer_kw=dict(average='weighted'));"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -356,10 +329,7 @@
     "                 scorer_kw=dict(average='weighted'));"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -383,10 +353,7 @@
     "                 scorer_kw=dict(average='weighted', multi_class='ovr'));"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -425,10 +392,7 @@
     "fig.axes[0].set_title('Accuracy Over 20 Cycles')\n"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
+    "collapsed": false
    }
   }
  ],
@@ -453,4 +417,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 0
-}
\ No newline at end of file
+}
diff --git a/example/cycle/cycle_scoring_bms.ipynb b/docs/cycle/cycle_scoring_bms.ipynb
similarity index 99%
rename from example/cycle/cycle_scoring_bms.ipynb
rename to docs/cycle/cycle_scoring_bms.ipynb
index c1eb23dfc..bb45b8878 100644
--- a/example/cycle/cycle_scoring_bms.ipynb
+++ b/docs/cycle/cycle_scoring_bms.ipynb
@@ -4,10 +4,7 @@
    "cell_type": "markdown",
    "source": [],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%% md\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -17,10 +14,19 @@
     "The aim of this example notebook is to use the AutoRA `Cycle` to recover a ground truth theory from some noisy data using BSM and random sampling. We will evaluate the model with AutoRa's scoring and plotting functions."
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%% md\n"
-    }
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "outputs": [],
+   "source": [
+    "# Uncomment the following line when running on Google Colab\n",
+    "# !pip install autora"
+   ],
+   "metadata": {
+    "collapsed": false
    }
   },
   {
@@ -40,10 +46,7 @@
     "from autora.skl.bms import BMSRegressor"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -54,10 +57,7 @@
     "The space of allowed x values is reals between -10 and 10 inclusive. We discretize them as we don't currently have a sampler which can sample from the uniform distribution."
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%% md\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -97,20 +97,14 @@
     "plt.legend()"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
+    "collapsed": false
    }
   },
   {
    "cell_type": "markdown",
    "source": [],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%% md\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -120,10 +114,7 @@
     "We create a synthetic experiment that adds noise."
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%% md\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -161,10 +152,7 @@
     "plt.legend()"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -174,10 +162,7 @@
     "We use a common BMS regressor with a common parametrization as the theorist."
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%% md\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -188,10 +173,7 @@
     "bms_theorist = BMSRegressor(epochs=800)"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -200,10 +182,7 @@
     "## Experimentalist - Random Sampler"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%% md\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -220,10 +199,7 @@
     ")"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -245,10 +221,7 @@
     "random_experimentalist_cycle.run(n_cycles);"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -257,10 +230,7 @@
     "## Evaluating Results"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%% md\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -270,10 +240,7 @@
     "We will test the performance of the models against the ground truth. Here we generate the ground truth values across the value range as the test set."
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%% md\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -285,10 +252,7 @@
     "y_test = ground_truth(X_test)"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -320,10 +284,7 @@
     "                 figsize=(5,3));"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -347,10 +308,7 @@
     "                      );\n"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -374,10 +332,7 @@
     "                      );\n"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
+    "collapsed": false
    }
   }
  ],
@@ -402,4 +357,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 0
-}
\ No newline at end of file
+}
diff --git a/example/cycle/simple_cycle_bms_darts.ipynb b/docs/cycle/simple_cycle_bms_darts.ipynb
similarity index 77%
rename from example/cycle/simple_cycle_bms_darts.ipynb
rename to docs/cycle/simple_cycle_bms_darts.ipynb
index 5d9bb8991..be862996f 100644
--- a/example/cycle/simple_cycle_bms_darts.ipynb
+++ b/docs/cycle/simple_cycle_bms_darts.ipynb
@@ -8,10 +8,19 @@
     "It uses a trivial experimentalist which resamples the same x-values each cycle."
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%% md\n"
-    }
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "outputs": [],
+   "source": [
+    "# Uncomment the following line when running on Google Colab\n",
+    "# !pip install autora"
+   ],
+   "metadata": {
+    "collapsed": false
    }
   },
   {
@@ -24,10 +33,7 @@
     "from itertools import repeat, chain"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -39,10 +45,7 @@
     "    return (xs ** 2.) + xs + 1."
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -51,10 +54,7 @@
     "The space of allowed x values is the integers between 0 and 10 inclusive, and we record the allowed output values as well."
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%% md\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -68,10 +68,7 @@
     "   )"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -81,10 +78,7 @@
     "Since the space of values is so restricted, we can just sample them all each time."
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%% md\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -97,10 +91,7 @@
     "    [list(chain.from_iterable((repeat(study_metadata.independent_variables[0].allowed_values, 10))))])"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -109,10 +100,7 @@
     "When we run a synthetic experiment, we get a reproducible noisy result:"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%% md\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -133,10 +121,7 @@
     "example_synthetic_experiment_runner(x)"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -145,10 +130,7 @@
     "## Bayesian Machine Scientist"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%% md\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -160,10 +142,7 @@
     "bms_theorist = BMSRegressor(epochs=100)"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -174,10 +153,7 @@
     "as well as a monitor which will let us know which cycle we're currently on."
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%% md\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -193,10 +169,7 @@
     ")"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -205,10 +178,7 @@
     "We can run the cycle by calling the run method:"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%% md\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -219,10 +189,7 @@
     "cycle.run(num_cycles=3)"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -232,10 +199,7 @@
     "experiment runner were:"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%% md\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -244,10 +208,7 @@
     "The observations include the conditions and the results:"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%% md\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -258,10 +219,7 @@
     "cycle.data.observations[0]"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -270,10 +228,7 @@
     "The best fit theory after the first cycle is:"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%% md\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -284,10 +239,7 @@
     "len(cycle.data.observations)"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -298,10 +250,7 @@
     "str(cycle.data.theories[0].model_), cycle.data.theories[0].model_.fit_par[str(cycle.data.theories[0].model_)]"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -312,10 +261,7 @@
     "str(cycle.data.theories[-1].model_), cycle.data.theories[-1].model_.fit_par[str(cycle.data.theories[-1].model_)]"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -327,10 +273,7 @@
     "plot_results_panel_2d(cycle, subplot_kw=dict(figsize=(12,4)))"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -339,10 +282,7 @@
     "## DARTS\n"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%% md\n"
-    }
+    "collapsed": false
    },
    "execution_count": 217
   },
@@ -355,10 +295,7 @@
     "darts_theorist = DARTSRegressor(max_epochs=100)"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -374,10 +311,7 @@
     ")"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -388,10 +322,7 @@
     "darts_cycle.run(3)"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -402,10 +333,7 @@
     "darts_cycle.data.theories[-2].visualize_model()\n"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -416,10 +344,7 @@
     "darts_cycle.data.theories[-2].model_repr()\n"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -431,10 +356,7 @@
     "darts_cycle.run(3)"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -446,10 +368,7 @@
     "plot_results_panel_2d(darts_cycle, wrap=3)\n"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
+    "collapsed": false
    }
   }
  ],
@@ -474,4 +393,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 0
-}
\ No newline at end of file
+}
diff --git a/docs/cycle/simple_cycle_bms_model_poppernet.ipynb b/docs/cycle/simple_cycle_bms_model_poppernet.ipynb
new file mode 100644
index 000000000..1bda9fd20
--- /dev/null
+++ b/docs/cycle/simple_cycle_bms_model_poppernet.ipynb
@@ -0,0 +1,622 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "outputs": [],
+   "source": [
+    "# Uncomment the following line when running on Google Colab\n",
+    "# !pip install autora"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "import matplotlib.pyplot as plt\n",
+    "import numpy as np\n",
+    "\n",
+    "from autora.cycle import Cycle\n",
+    "from autora.experimentalist.pipeline import Pipeline\n",
+    "from autora.experimentalist.pooler import grid_pool, poppernet_pool\n",
+    "from autora.experimentalist.sampler import nearest_values_sampler\n",
+    "from autora.skl.bms import BMSRegressor\n",
+    "from autora.variable import Variable, VariableCollection"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "outputs": [],
+   "source": [
+    "# meta parameters\n",
+    "ground_truth_resolution = 1000\n",
+    "samples_per_cycle = 7\n",
+    "value_range = (-1, 5)\n",
+    "allowed_values = np.linspace(value_range[0], value_range[1], ground_truth_resolution)"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "outputs": [],
+   "source": [
+    "# define ground truth\n",
+    "def ground_truth(xs):\n",
+    "    # return (xs ** 2.) + xs + 1.\n",
+    "    y = xs * 1.0\n",
+    "    y[xs < 0] = 0\n",
+    "    return y"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "outputs": [],
+   "source": [
+    "# define variables\n",
+    "study_metadata = VariableCollection(\n",
+    "    independent_variables=[\n",
+    "        Variable(name=\"x1\", allowed_values=allowed_values, value_range=value_range)\n",
+    "    ],\n",
+    "    dependent_variables=[Variable(name=\"y\", value_range=(-20, 20))],\n",
+    ")"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "outputs": [],
+   "source": [
+    "# define experiment platform\n",
+    "def get_synthetic_experiment_runner():\n",
+    "    rng = np.random.default_rng(seed=180)\n",
+    "\n",
+    "    def runner(xs):\n",
+    "        return ground_truth(xs) + rng.normal(0, 0.5, xs.shape)\n",
+    "\n",
+    "    return runner\n",
+    "\n",
+    "synthetic_experiment_runner = get_synthetic_experiment_runner()"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "outputs": [],
+   "source": [
+    "# Initialize the experimentalist\n",
+    "random_experimentalist = Pipeline(\n",
+    "    [\n",
+    "        (\"grid_pool\", grid_pool),  # type: ignore\n",
+    "        (\"nearest_values_sampler\", nearest_values_sampler),  # type: ignore\n",
+    "    ],\n",
+    "    {\n",
+    "        \"grid_pool\": {\"ivs\": study_metadata.independent_variables},\n",
+    "        \"nearest_values_sampler\": {\n",
+    "            \"allowed_values\": np.linspace(\n",
+    "                value_range[0], value_range[1], samples_per_cycle\n",
+    "            ),\n",
+    "            \"n\": samples_per_cycle,\n",
+    "        },\n",
+    "    },\n",
+    ")"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "outputs": [],
+   "source": [
+    "# define theorist\n",
+    "bms_theorist = BMSRegressor(epochs=100)"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:autora.skl.bms:BMS fitting started\n",
+      "  0%|          | 0/100 [00:00<?, ?it/s]<lambdifygenerated-56>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return X0**_a0_\n",
+      "<lambdifygenerated-118>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return _a0_/X0\n",
+      "<lambdifygenerated-119>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return _a0_/X0\n",
+      "  3%|▎         | 3/100 [00:00<00:03, 24.45it/s]<lambdifygenerated-203>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return sig(_a0_/X0)\n",
+      "/Users/jholla10/Library/Caches/pypoetry/virtualenvs/autora-17yK3Jyq-py3.8/lib/python3.8/site-packages/scipy/optimize/_minpack_py.py:906: OptimizeWarning: Covariance of the parameters could not be estimated\n",
+      "  warnings.warn('Covariance of the parameters could not be estimated',\n",
+      "<lambdifygenerated-204>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return sig(_a0_/X0)\n",
+      "<lambdifygenerated-205>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return sig(_a0_/X0)\n",
+      "<lambdifygenerated-238>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(X0)\n",
+      "<lambdifygenerated-239>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(X0)\n",
+      "  6%|▌         | 6/100 [00:00<00:04, 19.35it/s]<lambdifygenerated-286>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(X0)\n",
+      "<lambdifygenerated-286>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(X0)\n",
+      "<lambdifygenerated-287>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(X0)\n",
+      "<lambdifygenerated-287>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(X0)\n",
+      "<lambdifygenerated-288>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(X0)\n",
+      "<lambdifygenerated-288>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(X0)\n",
+      "<lambdifygenerated-302>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return _a0_/X0\n",
+      "<lambdifygenerated-303>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return _a0_/X0\n",
+      "<lambdifygenerated-314>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return -log(X0)\n",
+      "<lambdifygenerated-314>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return -log(X0)\n",
+      "<lambdifygenerated-315>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return -log(X0)\n",
+      "<lambdifygenerated-315>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return -log(X0)\n",
+      "<lambdifygenerated-316>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return -log(X0)\n",
+      "<lambdifygenerated-316>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return -log(X0)\n",
+      "<lambdifygenerated-369>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return -_a0_*log(X0)\n",
+      "<lambdifygenerated-369>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return -_a0_*log(X0)\n",
+      "<lambdifygenerated-370>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return -_a0_*log(X0)\n",
+      "<lambdifygenerated-370>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return -_a0_*log(X0)\n",
+      "<lambdifygenerated-371>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return -_a0_*log(X0)\n",
+      "<lambdifygenerated-371>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return -_a0_*log(X0)\n",
+      " 10%|█         | 10/100 [00:00<00:03, 24.48it/s]<lambdifygenerated-372>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return _a0_/X0\n",
+      "<lambdifygenerated-373>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return _a0_/X0\n",
+      "<lambdifygenerated-387>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return _a0_/X0\n",
+      "<lambdifygenerated-388>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return _a0_/X0\n",
+      " 13%|█▎        | 13/100 [00:00<00:03, 25.56it/s]<lambdifygenerated-519>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(X0)\n",
+      "<lambdifygenerated-569>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(X0)\n",
+      "<lambdifygenerated-570>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(X0)\n",
+      " 17%|█▋        | 17/100 [00:00<00:02, 28.60it/s]<lambdifygenerated-641>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(X0)\n",
+      "<lambdifygenerated-642>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(X0)\n",
+      " 25%|██▌       | 25/100 [00:00<00:02, 29.38it/s]<lambdifygenerated-918>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(X0)\n",
+      "<lambdifygenerated-937>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return abs(relu(_a0_/X0))\n",
+      "<lambdifygenerated-938>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return abs(relu(_a0_/X0))\n",
+      "<lambdifygenerated-939>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return abs(relu(_a0_/X0))\n",
+      "<lambdifygenerated-963>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(X0)\n",
+      "<lambdifygenerated-963>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(X0)\n",
+      "<lambdifygenerated-964>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(X0)\n",
+      "<lambdifygenerated-964>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(X0)\n",
+      "<lambdifygenerated-974>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(X0)\n",
+      "<lambdifygenerated-975>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(X0)\n",
+      "<lambdifygenerated-975>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(X0)\n",
+      " 29%|██▉       | 29/100 [00:01<00:02, 30.25it/s]<lambdifygenerated-988>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return abs(X0**_a0_)\n",
+      "<lambdifygenerated-1010>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sqrt(X0))\n",
+      "<lambdifygenerated-1011>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sqrt(X0))\n",
+      "<lambdifygenerated-1081>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(X0)\n",
+      "<lambdifygenerated-1082>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(X0)\n",
+      " 33%|███▎      | 33/100 [00:01<00:02, 31.17it/s]<lambdifygenerated-1113>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(X0)\n",
+      "<lambdifygenerated-1114>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(X0)\n",
+      "<lambdifygenerated-1141>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return _a0_/X0\n",
+      "<lambdifygenerated-1142>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return _a0_/X0\n",
+      "<lambdifygenerated-1146>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(X0**_a0_)\n",
+      "<lambdifygenerated-1149>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return sig(sig(_a0_/X0)**2)\n",
+      "<lambdifygenerated-1150>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return sig(sig(_a0_/X0)**2)\n",
+      "<lambdifygenerated-1151>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return sig(sig(_a0_/X0)**2)\n",
+      "<lambdifygenerated-1173>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(X0)\n",
+      " 37%|███▋      | 37/100 [00:01<00:01, 32.09it/s]<lambdifygenerated-1243>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return _a0_/X0\n",
+      "<lambdifygenerated-1244>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return _a0_/X0\n",
+      "<lambdifygenerated-1258>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return _a0_/X0\n",
+      "<lambdifygenerated-1259>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return _a0_/X0\n",
+      "<lambdifygenerated-1299>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sqrt(X0))\n",
+      "<lambdifygenerated-1300>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sqrt(X0))\n",
+      "<lambdifygenerated-1307>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return _a0_/X0\n",
+      "<lambdifygenerated-1308>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return _a0_/X0\n",
+      " 41%|████      | 41/100 [00:01<00:01, 32.14it/s]<lambdifygenerated-1389>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return sig(sig(sig(X0**_a0_)))\n",
+      "<lambdifygenerated-1389>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sig(sig(sig(X0**_a0_)))\n",
+      "<lambdifygenerated-1390>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return sig(sig(sig(X0**_a0_)))\n",
+      "<lambdifygenerated-1390>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sig(sig(sig(X0**_a0_)))\n",
+      "<lambdifygenerated-1391>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return sig(sig(sig(X0**_a0_)))\n",
+      "<lambdifygenerated-1391>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sig(sig(sig(X0**_a0_)))\n",
+      "<lambdifygenerated-1413>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return _a0_/X0\n",
+      "<lambdifygenerated-1414>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return _a0_/X0\n",
+      "<lambdifygenerated-1422>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return _a0_/X0\n",
+      "<lambdifygenerated-1423>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return _a0_/X0\n",
+      " 45%|████▌     | 45/100 [00:01<00:01, 32.18it/s]<lambdifygenerated-1464>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(relu(X0))\n",
+      "<lambdifygenerated-1465>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(relu(X0))\n",
+      "<lambdifygenerated-1466>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(X0)\n",
+      "<lambdifygenerated-1466>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(X0)\n",
+      "<lambdifygenerated-1467>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(X0)\n",
+      "<lambdifygenerated-1467>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(X0)\n",
+      "<lambdifygenerated-1553>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(X0)\n",
+      " 49%|████▉     | 49/100 [00:01<00:01, 32.49it/s]<lambdifygenerated-1577>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(X0**_a0_))\n",
+      "<lambdifygenerated-1645>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(_a0_/X0)\n",
+      "<lambdifygenerated-1646>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(_a0_/X0)\n",
+      "<lambdifygenerated-1647>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(_a0_/X0)\n",
+      "<lambdifygenerated-1679>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return abs(log(X0))\n",
+      "<lambdifygenerated-1679>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return abs(log(X0))\n",
+      "<lambdifygenerated-1680>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return abs(log(X0))\n",
+      "<lambdifygenerated-1680>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return abs(log(X0))\n",
+      " 53%|█████▎    | 53/100 [00:01<00:01, 32.94it/s]<lambdifygenerated-1773>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return abs(sqrt(X0))\n",
+      "<lambdifygenerated-1774>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return abs(sqrt(X0))\n",
+      "<lambdifygenerated-1785>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(X0)\n",
+      "<lambdifygenerated-1786>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(X0)\n",
+      " 57%|█████▋    | 57/100 [00:01<00:01, 32.46it/s]<lambdifygenerated-1838>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return abs(relu(sqrt(X0)))\n",
+      "<lambdifygenerated-1839>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return abs(relu(sqrt(X0)))\n",
+      "<lambdifygenerated-1840>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return abs(relu(sqrt(X0)))\n",
+      "<lambdifygenerated-1848>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return _a0_/X0\n",
+      "<lambdifygenerated-1849>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return _a0_/X0\n",
+      "<lambdifygenerated-1903>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(X0)\n",
+      "<lambdifygenerated-1903>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(X0)\n",
+      "<lambdifygenerated-1904>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(X0)\n",
+      "<lambdifygenerated-1904>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(X0)\n",
+      "<lambdifygenerated-1940>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(_a0_/X0)\n",
+      "<lambdifygenerated-1941>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(_a0_/X0)\n",
+      "<lambdifygenerated-1942>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sig(sig(sig(log(_a0_))))\n",
+      "<lambdifygenerated-1943>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sig(sig(sig(log(_a0_))))\n",
+      "<lambdifygenerated-1944>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sig(sig(sig(log(_a0_))))\n",
+      "<lambdifygenerated-1945>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(X0)\n",
+      " 61%|██████    | 61/100 [00:02<00:01, 32.52it/s]<lambdifygenerated-1955>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return abs(sqrt(X0))\n",
+      "<lambdifygenerated-2047>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(X0)\n",
+      "<lambdifygenerated-2047>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(X0)\n",
+      " 65%|██████▌   | 65/100 [00:02<00:01, 33.12it/s]<lambdifygenerated-2095>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(relu(X0))\n",
+      "<lambdifygenerated-2096>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return _a0_/X0\n",
+      "<lambdifygenerated-2097>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return _a0_/X0\n",
+      "<lambdifygenerated-2133>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(X0)**X0\n",
+      "<lambdifygenerated-2134>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(X0)**X0\n",
+      "<lambdifygenerated-2150>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(X0)\n",
+      "<lambdifygenerated-2151>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(X0)\n",
+      " 69%|██████▉   | 69/100 [00:02<00:00, 33.02it/s]<lambdifygenerated-2298>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(X0)\n",
+      " 73%|███████▎  | 73/100 [00:02<00:00, 31.93it/s]<lambdifygenerated-2381>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(_a0_/X0)\n",
+      "<lambdifygenerated-2382>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(_a0_/X0)\n",
+      " 77%|███████▋  | 77/100 [00:02<00:00, 31.69it/s]<lambdifygenerated-2470>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return _a0_/X0\n",
+      "<lambdifygenerated-2471>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return _a0_/X0\n",
+      "<lambdifygenerated-2475>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return abs(_a0_/X0)\n",
+      "<lambdifygenerated-2476>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return abs(_a0_/X0)\n",
+      "<lambdifygenerated-2477>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return abs(_a0_/X0)\n",
+      "<lambdifygenerated-2523>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(_a0_/X0)\n",
+      "<lambdifygenerated-2524>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(_a0_/X0)\n",
+      "<lambdifygenerated-2531>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(relu(relu(relu(X0))))\n",
+      "<lambdifygenerated-2532>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(relu(relu(relu(X0))))\n",
+      "<lambdifygenerated-2541>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sqrt(X0))\n",
+      " 81%|████████  | 81/100 [00:02<00:00, 32.10it/s]<lambdifygenerated-2646>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return _a0_/X0\n",
+      "<lambdifygenerated-2647>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return _a0_/X0\n",
+      " 85%|████████▌ | 85/100 [00:02<00:00, 31.54it/s]<lambdifygenerated-2705>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sqrt(X0))\n",
+      "<lambdifygenerated-2706>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sqrt(X0))\n",
+      "<lambdifygenerated-2721>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(_a0_/X0)\n",
+      "<lambdifygenerated-2722>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(_a0_/X0)\n",
+      "<lambdifygenerated-2765>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(_a0_/X0)\n",
+      "<lambdifygenerated-2766>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(_a0_/X0)\n",
+      "<lambdifygenerated-2767>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return _a0_/X0\n",
+      "<lambdifygenerated-2768>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return _a0_/X0\n",
+      "<lambdifygenerated-2783>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(X0)\n",
+      " 97%|█████████▋| 97/100 [00:03<00:00, 33.64it/s]<lambdifygenerated-3081>:2: RuntimeWarning: invalid value encountered in divide\n",
+      "  return relu(relu(X0))/X0\n",
+      "<lambdifygenerated-3082>:2: RuntimeWarning: invalid value encountered in divide\n",
+      "  return relu(relu(X0))/X0\n",
+      "100%|██████████| 100/100 [00:03<00:00, 31.19it/s]\n",
+      "INFO:autora.skl.bms:BMS fitting finished\n"
+     ]
+    }
+   ],
+   "source": [
+    "# define seed cycle\n",
+    "# we will use this cycle to collect initial data and initialize the BMS model\n",
+    "seed_cycle = Cycle(\n",
+    "    metadata=study_metadata,\n",
+    "    theorist=bms_theorist,\n",
+    "    experimentalist=random_experimentalist,\n",
+    "    experiment_runner=synthetic_experiment_runner,\n",
+    ")\n",
+    "\n",
+    "# run seed cycle\n",
+    "seed_cycle.run(num_cycles=1)\n",
+    "\n",
+    "seed_model = seed_cycle.data.theories[0].model_\n",
+    "seed_x = seed_cycle.data.conditions[0]\n",
+    "seed_y = seed_cycle.data.observations[0][:, 1]"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "outputs": [],
+   "source": [
+    "# now we define the poppernet experimentalist which takes into account\n",
+    "# the seed data and the seed model\n",
+    "popper_experimentalist = Pipeline(\n",
+    "    [\n",
+    "        (\"popper_pool\", poppernet_pool),  # type: ignore\n",
+    "        (\"nearest_values_sampler\", nearest_values_sampler),  # type: ignore\n",
+    "    ],\n",
+    "    {\n",
+    "        \"popper_pool\": {\n",
+    "            \"metadata\": study_metadata,\n",
+    "            \"model\": seed_model,\n",
+    "            \"x_train\": seed_x,\n",
+    "            \"y_train\": seed_y,\n",
+    "            \"n\": samples_per_cycle,\n",
+    "            \"plot\": True,\n",
+    "        },\n",
+    "        \"nearest_values_sampler\": {\n",
+    "            \"allowed_values\": allowed_values,\n",
+    "            \"n\": samples_per_cycle,\n",
+    "        },\n",
+    "    },\n",
+    ")"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Finished training Popper Network...\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/png": 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"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/png": 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"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/png": 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"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:autora.skl.bms:BMS fitting started\n",
+      "  9%|▉         | 9/100 [00:00<00:03, 28.62it/s]<lambdifygenerated-3607>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sig(_a0_**X0)\n",
+      " 21%|██        | 21/100 [00:00<00:02, 31.02it/s]/Users/jholla10/Library/Caches/pypoetry/virtualenvs/autora-17yK3Jyq-py3.8/lib/python3.8/site-packages/scipy/optimize/_minpack_py.py:906: OptimizeWarning: Covariance of the parameters could not be estimated\n",
+      "  warnings.warn('Covariance of the parameters could not be estimated',\n",
+      "100%|██████████| 100/100 [00:03<00:00, 32.37it/s]\n",
+      "INFO:autora.skl.bms:BMS fitting finished\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/png": 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"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# running a new cycle taking into account the seed data and model\n",
+    "# TODO: need to find a way to incorporate the seed data into the cycle\n",
+    "cycle = Cycle(\n",
+    "    metadata=study_metadata,\n",
+    "    theorist=bms_theorist,\n",
+    "    experimentalist=popper_experimentalist,\n",
+    "    experiment_runner=synthetic_experiment_runner,\n",
+    ")\n",
+    "cycle.run(num_cycles=1)\n",
+    "\n",
+    "# plot output of architecture search\n",
+    "all_obs = np.row_stack(seed_cycle.data.observations)\n",
+    "x_obs, y_obs = all_obs[:, 0], all_obs[:, 1]\n",
+    "plt.scatter(x_obs, y_obs, s=10, label=\"seed data\")\n",
+    "\n",
+    "all_obs = np.row_stack(cycle.data.observations)\n",
+    "x_obs, y_obs = all_obs[:, 0], all_obs[:, 1]\n",
+    "plt.scatter(x_obs, y_obs, s=10, label=\"collected data\")\n",
+    "\n",
+    "x_pred = np.array(study_metadata.independent_variables[0].allowed_values).reshape(\n",
+    "    ground_truth_resolution, 1\n",
+    ")\n",
+    "y_pred_seed = seed_cycle.data.theories[0].predict(x_pred)\n",
+    "y_pred_final = cycle.data.theories[0].predict(x_pred)\n",
+    "plt.plot(x_pred, y_pred_seed, color=\"blue\", label=\"seed model\")\n",
+    "plt.plot(x_pred, y_pred_final, color=\"red\", label=\"final model\")\n",
+    "plt.legend()\n",
+    "plt.show()\n"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 2
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython2",
+   "version": "2.7.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 0
+}
diff --git a/example/cycle/simple_cycle_uncertainty_experimentalist.ipynb b/docs/cycle/simple_cycle_uncertainty_experimentalist.ipynb
similarity index 97%
rename from example/cycle/simple_cycle_uncertainty_experimentalist.ipynb
rename to docs/cycle/simple_cycle_uncertainty_experimentalist.ipynb
index 0b6c64313..7fc16de7b 100644
--- a/example/cycle/simple_cycle_uncertainty_experimentalist.ipynb
+++ b/docs/cycle/simple_cycle_uncertainty_experimentalist.ipynb
@@ -11,6 +11,18 @@
     "collapsed": false
    }
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "outputs": [],
+   "source": [
+    "# Uncomment the following line when running on Google Colab\n",
+    "# !pip install autora"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
   {
    "cell_type": "code",
    "execution_count": null,
diff --git a/example/pipeline/Experimentalist Pipeline Examples.ipynb b/docs/pipeline/Experimentalist Pipeline Examples.ipynb
similarity index 73%
rename from example/pipeline/Experimentalist Pipeline Examples.ipynb
rename to docs/pipeline/Experimentalist Pipeline Examples.ipynb
index 1f28a8c32..71f367052 100644
--- a/example/pipeline/Experimentalist Pipeline Examples.ipynb	
+++ b/docs/pipeline/Experimentalist Pipeline Examples.ipynb	
@@ -1,38 +1,46 @@
 {
  "cells": [
+  {
+   "cell_type": "markdown",
+   "source": [
+    "# Introduction\n",
+    "This notebook demonstrates the use of the `Pipeline` class to create Experimentalists. Experimentalists consist of two main components:\n",
+    "1. Condition Generation - Creating combinations of independent variables to test\n",
+    "2. Experimental Design - Ensuring conditions meet design constraints.\n",
+    "\n",
+    "The `Pipeline` class allows us to define a series of functions to generate and process a pool of conditions that conform to an experimental design."
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "outputs": [],
    "source": [
-    "import numpy as np\n",
-    "\n",
-    "from functools import partial\n",
-    "from autora.variable import DV, IV, ValueType, VariableCollection\n",
-    "from autora.experimentalist.pipeline import Pipeline\n",
-    "from autora.experimentalist.pool import grid_pool\n",
-    "from autora.experimentalist.filter import weber_filter\n",
-    "from autora.experimentalist.sampler import random_sampler"
+    "# Uncomment the following line when running on Google Colab\n",
+    "# !pip install autora"
    ],
    "metadata": {
     "collapsed": false
    }
   },
   {
-   "cell_type": "markdown",
+   "cell_type": "code",
+   "execution_count": 3,
+   "outputs": [],
    "source": [
-    "# Introduction\n",
-    "This notebook demonstrates the use of the `Pipeline` class to create Experimentalists. Experimentalists consist of two main components:\n",
-    "1. Condition Generation - Creating combinations of independent variables to test\n",
-    "2. Experimental Design - Ensuring conditions meet design constraints.\n",
+    "import numpy as np\n",
     "\n",
-    "The `Pipeline` class allows us to define a series of functions to generate and process a pool of conditions that conform to an experimental design.\n"
+    "from autora.variable import DV, IV, ValueType, VariableCollection\n",
+    "from autora.experimentalist.pipeline import Pipeline\n",
+    "from autora.experimentalist.pooler import grid_pool\n",
+    "from autora.experimentalist.filter import weber_filter\n",
+    "from autora.experimentalist.sampler import random_sampler"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%% md\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -58,15 +66,12 @@
     "The examples in this notebook will create a Weber line-lengths experiment. The Weber experiment tests human detection of differences between the lengths of two lines. The first example will sample a pool with simple random sampling. We will first define the independent and dependent variables (IVs and DVs, respectively).\n"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%% md\n"
-    }
+    "collapsed": false
    }
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 4,
    "outputs": [],
    "source": [
     "# Specifying  Dependent and Independent Variables\n",
@@ -102,10 +107,7 @@
     ")"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -125,8 +127,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "outputs": [],
+   "execution_count": 5,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "Pipeline(steps=[('grid_pool', <function grid_pool at 0x11813c280>), ('weber_filer', <function weber_filter at 0x16c134f70>), ('random_sampler', <function random_sampler at 0x16c660a60>)], params={'grid_pool': {'ivs': [IV(name='S1', value_range=None, allowed_values=array([0.  , 1.25, 2.5 , 3.75, 5.  ]), units='intensity', type=<ValueType.REAL: 'real'>, variable_label='Stimulus 1 Intensity', rescale=1, is_covariate=False), IV(name='S2', value_range=None, allowed_values=array([0.  , 1.25, 2.5 , 3.75, 5.  ]), units='intensity', type=<ValueType.REAL: 'real'>, variable_label='Stimulus 2 Intensity', rescale=1, is_covariate=False)]}, 'random_sampler': {'n': 10}})"
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "## Set up pipeline functions with the partial function\n",
     "# Random Sampler\n",
@@ -153,16 +164,23 @@
     "The pipeline is run twice below to illustrate that random sampling is performed. Rerunning the cell will produce different results.\n"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%% md\n"
-    }
+    "collapsed": false
    }
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "outputs": [],
+   "execution_count": 6,
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Sampled Conditions:\n",
+      " Run 1: [(3.75, 3.75), (0.0, 3.75), (2.5, 5.0), (3.75, 5.0), (1.25, 1.25), (2.5, 3.75), (2.5, 2.5), (1.25, 3.75), (1.25, 2.5), (0.0, 0.0)]\n",
+      " Run 2: [(1.25, 5.0), (0.0, 5.0), (5.0, 5.0), (0.0, 1.25), (1.25, 2.5), (2.5, 2.5), (1.25, 3.75), (3.75, 3.75), (2.5, 3.75), (0.0, 0.0)]\n"
+     ]
+    }
+   ],
    "source": [
     "# Run the Pipeline\n",
     "results1 = pipeline_random_samp.run()\n",
@@ -172,10 +190,7 @@
     "      f'Run 2: {results2}')"
    ],
    "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
+    "collapsed": false
    }
   },
   {
@@ -189,8 +204,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "outputs": [],
+   "execution_count": 7,
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Sampled Conditions:\n",
+      " Run 1: [(1.25, 2.5), (0.0, 2.5), (3.75, 5.0), (0.0, 3.75), (0.0, 0.0), (0.0, 1.25), (2.5, 2.5), (1.25, 1.25), (3.75, 3.75), (1.25, 3.75)]\n",
+      " Run 2: []\n"
+     ]
+    }
+   ],
    "source": [
     "## Set up pipeline functions with the partial function\n",
     "# Pool Function\n",
@@ -236,8 +261,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "outputs": [],
+   "execution_count": 8,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "Pipeline(steps=[('grid_pool', <function grid_pool at 0x11813c280>), ('weber_filer', <function weber_filter at 0x16c134f70>), ('random_sampler', <function random_sampler at 0x16c660a60>)], params={'grid_pool__ivs': [IV(name='S1', value_range=None, allowed_values=array([0.  , 1.25, 2.5 , 3.75, 5.  ]), units='intensity', type=<ValueType.REAL: 'real'>, variable_label='Stimulus 1 Intensity', rescale=1, is_covariate=False), IV(name='S2', value_range=None, allowed_values=array([0.  , 1.25, 2.5 , 3.75, 5.  ]), units='intensity', type=<ValueType.REAL: 'real'>, variable_label='Stimulus 2 Intensity', rescale=1, is_covariate=False)], 'random_sampler__n': 10})"
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "pipeline_random_samp = Pipeline([\n",
     "    (\"grid_pool\", grid_pool),\n",
@@ -274,4 +308,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 0
-}
\ No newline at end of file
+}
diff --git a/example/synthetic/inventory.ipynb b/docs/synthetic/inventory.ipynb
similarity index 72%
rename from example/synthetic/inventory.ipynb
rename to docs/synthetic/inventory.ipynb
index edd49aef2..54be9ee17 100644
--- a/example/synthetic/inventory.ipynb
+++ b/docs/synthetic/inventory.ipynb
@@ -3,15 +3,26 @@
   {
    "cell_type": "code",
    "execution_count": null,
+   "outputs": [],
+   "source": [
+    "# Uncomment the following line when running on Google Colab\n",
+    "# !pip install autora"
+   ],
    "metadata": {
-    "collapsed": true
-   },
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
    "outputs": [],
    "source": [
-    "from sklearn.linear_model import LinearRegression\n",
-    "\n",
-    "from autora.synthetic import retrieve, Inventory"
-   ]
+    "from autora.synthetic import retrieve, Inventory\n",
+    "from sklearn.linear_model import LinearRegression"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
   },
   {
    "cell_type": "code",
diff --git a/docs/theorist/bms/example.ipynb b/docs/theorist/bms/example.ipynb
new file mode 100644
index 000000000..b297a26bd
--- /dev/null
+++ b/docs/theorist/bms/example.ipynb
@@ -0,0 +1,210 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "source": [
+    "# Bayesian Machine Scientist"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "## Example"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "outputs": [],
+   "source": [
+    "# Uncomment the following line when running on Google Colab\n",
+    "# !pip install autora"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "Let's generate a simple data set with two features $x_1, x_2 \\in [0, 1]$ and a target $y$. We will use the following generative model:\n",
+    "$y = 2 x_1 - e^{(5 x_2)}$"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "\n",
+    "x_1 = np.linspace(0, 1, num=10)\n",
+    "x_2 = np.linspace(0, 1, num=10)\n",
+    "X = np.array(np.meshgrid(x_1, x_2)).T.reshape(-1,2)\n",
+    "\n",
+    "y = 2 * X[:,0] + np.exp(5 * X[:,1])"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "Now let us choose a prior over the primitives. In this case, we will use priors determined by Guimerà et al (2020).\n"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "outputs": [],
+   "source": [
+    "prior = \"Guimera2020\""
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "## Set up the BMS Regressor\n",
+    "\n",
+    "We will use the BMS Regressor to predict the outcomes. There are a number of parameters that determine how the architecture search is performed. The most important ones are listed below:\n",
+    "\n",
+    "- **`epochs`**: The number of epochs to run BMS. This corresponds to the total number of equation mutations - one mcmc step for each parallel-tempered equation and one tree swap between a pair of parallel-tempered equations.\n",
+    "- **`prior_par`**: A dictionary of priors for each operation. The keys correspond to operations and the respective values correspond to prior probabilities of those operations. The model comes with a default.\n",
+    "- **`ts`**: A list of temperature values. The machine scientist creates an equation tree for each of these values. Higher temperature trees are harder to fit, and thus they help prevent overfitting of the model.\n",
+    "\n",
+    "\n",
+    "Let's use the same priors over primitives that we specified on the previous page as well as an illustrative set of temperatures to set up the BMS regressor with default parameters.\n"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "outputs": [],
+   "source": [
+    "from autora.skl.bms import BMSRegressor\n",
+    "\n",
+    "temperatures = [1.0] + [1.04**k for k in range(1, 20)]\n",
+    "\n",
+    "primitives = {\n",
+    "    \"Psychology\": {\n",
+    "        \"addition\": 5.8,\n",
+    "        \"subtraction\": 4.3,\n",
+    "        \"multiplication\": 5.0,\n",
+    "        \"division\": 5.5,\n",
+    "    }\n",
+    "}\n",
+    "\n",
+    "bms_estimator = BMSRegressor(\n",
+    "    epochs=1500,\n",
+    "    prior_par=primitives,\n",
+    "    ts=temperatures,\n",
+    ")"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "Now we have everything to fit and verify the model."
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:autora.skl.bms:BMS fitting started\n",
+      "  0%|          | 0/1500 [00:00<?, ?it/s]\n"
+     ]
+    },
+    {
+     "ename": "KeyError",
+     "evalue": "'Nopi_*'",
+     "output_type": "error",
+     "traceback": [
+      "\u001B[0;31m---------------------------------------------------------------------------\u001B[0m",
+      "\u001B[0;31mKeyError\u001B[0m                                  Traceback (most recent call last)",
+      "Cell \u001B[0;32mIn[10], line 1\u001B[0m\n\u001B[0;32m----> 1\u001B[0m \u001B[43mbms_estimator\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mfit\u001B[49m\u001B[43m(\u001B[49m\u001B[43mX\u001B[49m\u001B[43m,\u001B[49m\u001B[43my\u001B[49m\u001B[43m)\u001B[49m\n\u001B[1;32m      2\u001B[0m bms_estimator\u001B[38;5;241m.\u001B[39mpredict(X)\n",
+      "File \u001B[0;32m~/Developer/autora/autora/skl/bms.py:133\u001B[0m, in \u001B[0;36mBMSRegressor.fit\u001B[0;34m(self, X, y, num_param, root, custom_ops, seed)\u001B[0m\n\u001B[1;32m    120\u001B[0m     \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39madd_primitive(root)\n\u001B[1;32m    121\u001B[0m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mpms \u001B[38;5;241m=\u001B[39m Parallel(\n\u001B[1;32m    122\u001B[0m     Ts\u001B[38;5;241m=\u001B[39m\u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mts,\n\u001B[1;32m    123\u001B[0m     variables\u001B[38;5;241m=\u001B[39m\u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mvariables,\n\u001B[0;32m   (...)\u001B[0m\n\u001B[1;32m    131\u001B[0m     seed\u001B[38;5;241m=\u001B[39mseed,\n\u001B[1;32m    132\u001B[0m )\n\u001B[0;32m--> 133\u001B[0m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mmodel_, \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mloss_, \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mcache_ \u001B[38;5;241m=\u001B[39m \u001B[43mutils\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mrun\u001B[49m\u001B[43m(\u001B[49m\u001B[38;5;28;43mself\u001B[39;49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mpms\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[43mepochs\u001B[49m\u001B[43m)\u001B[49m\n\u001B[1;32m    134\u001B[0m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mmodels_ \u001B[38;5;241m=\u001B[39m \u001B[38;5;28mlist\u001B[39m(\u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mpms\u001B[38;5;241m.\u001B[39mtrees\u001B[38;5;241m.\u001B[39mvalues())\n\u001B[1;32m    136\u001B[0m _logger\u001B[38;5;241m.\u001B[39minfo(\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mBMS fitting finished\u001B[39m\u001B[38;5;124m\"\u001B[39m)\n",
+      "File \u001B[0;32m~/Developer/autora/autora/theorist/bms/utils.py:35\u001B[0m, in \u001B[0;36mrun\u001B[0;34m(pms, num_steps, thinning)\u001B[0m\n\u001B[1;32m     33\u001B[0m desc_len, model, model_len \u001B[38;5;241m=\u001B[39m [], pms\u001B[38;5;241m.\u001B[39mt1, np\u001B[38;5;241m.\u001B[39minf\n\u001B[1;32m     34\u001B[0m \u001B[38;5;28;01mfor\u001B[39;00m n \u001B[38;5;129;01min\u001B[39;00m tqdm(\u001B[38;5;28mrange\u001B[39m(num_steps)):\n\u001B[0;32m---> 35\u001B[0m     \u001B[43mpms\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mmcmc_step\u001B[49m\u001B[43m(\u001B[49m\u001B[43m)\u001B[49m\n\u001B[1;32m     36\u001B[0m     pms\u001B[38;5;241m.\u001B[39mtree_swap()\n\u001B[1;32m     37\u001B[0m     \u001B[38;5;28;01mif\u001B[39;00m num_steps \u001B[38;5;241m%\u001B[39m thinning \u001B[38;5;241m==\u001B[39m \u001B[38;5;241m0\u001B[39m:  \u001B[38;5;66;03m# sample less often if we thin more\u001B[39;00m\n",
+      "File \u001B[0;32m~/Developer/autora/autora/theorist/bms/parallel.py:102\u001B[0m, in \u001B[0;36mParallel.mcmc_step\u001B[0;34m(self, verbose, p_rr, p_long)\u001B[0m\n\u001B[1;32m     99\u001B[0m     p_rr \u001B[38;5;241m=\u001B[39m \u001B[38;5;241m0.0\u001B[39m\n\u001B[1;32m    100\u001B[0m \u001B[38;5;28;01mfor\u001B[39;00m T, tree \u001B[38;5;129;01min\u001B[39;00m \u001B[38;5;28mlist\u001B[39m(\u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mtrees\u001B[38;5;241m.\u001B[39mitems()):\n\u001B[1;32m    101\u001B[0m     \u001B[38;5;66;03m# MCMC step\u001B[39;00m\n\u001B[0;32m--> 102\u001B[0m     \u001B[43mtree\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mmcmc_step\u001B[49m\u001B[43m(\u001B[49m\u001B[43mverbose\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mverbose\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mp_rr\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mp_rr\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mp_long\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mp_long\u001B[49m\u001B[43m)\u001B[49m\n\u001B[1;32m    103\u001B[0m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mt1 \u001B[38;5;241m=\u001B[39m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mtrees[\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124m1.0\u001B[39m\u001B[38;5;124m\"\u001B[39m]\n",
+      "File \u001B[0;32m~/Developer/autora/autora/theorist/bms/mcmc.py:1160\u001B[0m, in \u001B[0;36mTree.mcmc_step\u001B[0;34m(self, verbose, p_rr, p_long)\u001B[0m\n\u001B[1;32m   1157\u001B[0m \u001B[38;5;28;01melse\u001B[39;00m:\n\u001B[1;32m   1158\u001B[0m     \u001B[38;5;66;03m# Try to replace the root\u001B[39;00m\n\u001B[1;32m   1159\u001B[0m     newrr \u001B[38;5;241m=\u001B[39m choice(\u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mrr_space)\n\u001B[0;32m-> 1160\u001B[0m     dE, dEB, dEP, par_valuesNew \u001B[38;5;241m=\u001B[39m \u001B[38;5;28;43mself\u001B[39;49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mdE_rr\u001B[49m\u001B[43m(\u001B[49m\u001B[43mrr\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mnewrr\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mverbose\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mverbose\u001B[49m\u001B[43m)\u001B[49m\n\u001B[1;32m   1161\u001B[0m     \u001B[38;5;28;01mif\u001B[39;00m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mnum_rr \u001B[38;5;241m>\u001B[39m \u001B[38;5;241m0\u001B[39m \u001B[38;5;129;01mand\u001B[39;00m \u001B[38;5;241m-\u001B[39mdEB \u001B[38;5;241m/\u001B[39m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mBT \u001B[38;5;241m-\u001B[39m dEP \u001B[38;5;241m/\u001B[39m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mPT \u001B[38;5;241m>\u001B[39m \u001B[38;5;241m0\u001B[39m:\n\u001B[1;32m   1162\u001B[0m         paccept \u001B[38;5;241m=\u001B[39m \u001B[38;5;241m1.0\u001B[39m\n",
+      "File \u001B[0;32m~/Developer/autora/autora/theorist/bms/mcmc.py:1093\u001B[0m, in \u001B[0;36mTree.dE_rr\u001B[0;34m(self, rr, verbose)\u001B[0m\n\u001B[1;32m   1090\u001B[0m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mpar_values \u001B[38;5;241m=\u001B[39m old_par_values\n\u001B[1;32m   1092\u001B[0m \u001B[38;5;66;03m# Prior: change due to the numbers of each operation\u001B[39;00m\n\u001B[0;32m-> 1093\u001B[0m dEP \u001B[38;5;241m+\u001B[39m\u001B[38;5;241m=\u001B[39m \u001B[38;5;28;43mself\u001B[39;49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mprior_par\u001B[49m\u001B[43m[\u001B[49m\u001B[38;5;124;43m\"\u001B[39;49m\u001B[38;5;124;43mNopi_\u001B[39;49m\u001B[38;5;132;43;01m%s\u001B[39;49;00m\u001B[38;5;124;43m\"\u001B[39;49m\u001B[43m \u001B[49m\u001B[38;5;241;43m%\u001B[39;49m\u001B[43m \u001B[49m\u001B[43mrr\u001B[49m\u001B[43m[\u001B[49m\u001B[38;5;241;43m0\u001B[39;49m\u001B[43m]\u001B[49m\u001B[43m]\u001B[49m\n\u001B[1;32m   1094\u001B[0m \u001B[38;5;28;01mtry\u001B[39;00m:\n\u001B[1;32m   1095\u001B[0m     dEP \u001B[38;5;241m+\u001B[39m\u001B[38;5;241m=\u001B[39m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mprior_par[\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mNopi2_\u001B[39m\u001B[38;5;132;01m%s\u001B[39;00m\u001B[38;5;124m\"\u001B[39m \u001B[38;5;241m%\u001B[39m rr[\u001B[38;5;241m0\u001B[39m]] \u001B[38;5;241m*\u001B[39m (\n\u001B[1;32m   1096\u001B[0m         (\u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mnops[rr[\u001B[38;5;241m0\u001B[39m]] \u001B[38;5;241m+\u001B[39m \u001B[38;5;241m1\u001B[39m) \u001B[38;5;241m*\u001B[39m\u001B[38;5;241m*\u001B[39m \u001B[38;5;241m2\u001B[39m \u001B[38;5;241m-\u001B[39m (\u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mnops[rr[\u001B[38;5;241m0\u001B[39m]]) \u001B[38;5;241m*\u001B[39m\u001B[38;5;241m*\u001B[39m \u001B[38;5;241m2\u001B[39m\n\u001B[1;32m   1097\u001B[0m     )\n",
+      "\u001B[0;31mKeyError\u001B[0m: 'Nopi_*'"
+     ]
+    }
+   ],
+   "source": [
+    "bms_estimator.fit(X,y)\n",
+    "bms_estimator.predict(X)"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "## Troubleshooting\n",
+    "\n",
+    "We can troubleshoot the model by playing with a few parameters:\n",
+    "\n",
+    "- Increasing the number of epochs. The original paper recommends 1500-3000 epochs for reliable fitting. The default is set to 1500.\n",
+    "- Using custom priors that are more relevant to the data. The default priors are over equations nonspecific to any particular scientific domain.\n",
+    "- Increasing the range of temperature values to escape local minima.\n",
+    "- Reducing the differences between parallel temperatures to escape local minima.\n"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 2
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython2",
+   "version": "2.7.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 0
+}
diff --git a/docs/theorist/bms/example.md b/docs/theorist/bms/example.md
deleted file mode 100644
index c891f9c96..000000000
--- a/docs/theorist/bms/example.md
+++ /dev/null
@@ -1,61 +0,0 @@
-# Bayesian Machine Scientist
-
-## Example
-
-Let's generate a simple data set with two features $x_1, x_2 \in [0, 1]$ and a target $y$. We will use the following generative model: 
-$y = 2 x_1 - e^{(5 x_2)}$
-
-```python
-import numpy as np
-
-x_1 = np.linspace(0, 1, num=10)
-x_2 = np.linspace(0, 1, num=10)
-X = np.array(np.meshgrid(x_1, x_2)).T.reshape(-1,2)
-
-y = 2 * X[:,0] + np.exp(5 * X[:,1])
-```
-
-Now let us choose a prior over the primitives. In this case, we will use priors determined by Guimerà et al (2020).
-
-```python
-prior = "Guimera2020"
-```
-
-## Set up the BMS Regressor
-
-We will use the BMS Regressor to predict the outcomes. There are a number of parameters that determine how the architecture search is performed. The most important ones are listed below:
-
-- **`epochs`**: The number of epochs to run BMS. This corresponds to the total number of equation mutations - one mcmc step for each parallel-tempered equation and one tree swap between a pair of parallel-tempered equations.
-- **`prior_par`**: A dictionary of priors for each operation. The keys correspond to operations and the respective values correspond to prior probabilities of those operations. The model comes with a default.  
-- **`ts`**: A list of temperature values. The machine scientist creates an equation tree for each of these values. Higher temperature trees are harder to fit, and thus they help prevent overfitting of the model.
-
-
-Let's use the same priors over primitives that we specified on the previous page as well as an illustrative set of temperatures to set up the BMS regressor with default parameters.
-
-```python
-from autora.skl.bms import BMSRegressor
-
-temperatures = [1.0] + [1.04**k for k in range(1, 20)] 
-
-bms_estimator = BMSRegressor(
-    epochs=1500,
-    prior_par=primitives,
-    ts=temperatures,
-)
-```
-
-Now we have everything to fit and verify the model.
-
-```python
-bms_estimator.fit(X,y)
-bms_estimator.predict(X)
-```
-
-## Troubleshooting
-
-We can troubleshoot the model by playing with a few parameters:
-
-- Increasing the number of epochs. The original paper recommends 1500-3000 epochs for reliable fitting. The default is set to 1500.
-- Using custom priors that are more relevant to the data. The default priors are over equations nonspecific to any particular scientific domain.
-- Increasing the range of temperature values to escape local minima.
-- Reducing the differences between parallel temperatures to escape local minima.
diff --git a/docs/theorist/bms/search_space.ipynb b/docs/theorist/bms/search_space.ipynb
new file mode 100644
index 000000000..07171e1c5
--- /dev/null
+++ b/docs/theorist/bms/search_space.ipynb
@@ -0,0 +1,126 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "source": [
+    "# Bayesian Machine Scientist\n",
+    "\n",
+    "## Search space\n",
+    "\n",
+    "BMS searches the space of operations according to certain parameters to find the best model. As such, the search space is defined by the set of operations that can be applied in each computation step of the model. These operations are also referred to as *primitives*. We can select from the following set of primitives:\n",
+    "\n",
+    "- **$\\textit{constant}$**: The output of the computation $x_j$ is a constant parameter value $a$ where $a$ is a fitted float value.\n",
+    "- **\\+**: The output of the computation $x_j$ is the sum over its two inputs $x_i, x_{ii}$: $x_j = x_i + x_{ii}$.\n",
+    "- **\\-**: The output of the computation $x_j$ is the respective difference between its inputs $x_i, x_{ii}$: $x_j = x_i - x_{ii}$.\n",
+    "- **\\***: The output of the computation $x_j$ is the product over its two inputs $x_i, x_{ii}$: $x_j = x_i * x_{ii}$.\n",
+    "- **\\/**: The output of the computation $x_j$ is the respective quotient between its inputs $x_i, x_{ii}$: $x_j = x_i / x_{ii}$.\n",
+    "- **abs**: The output of the computation $x_j$ is the absolute value of its input $x_i$: $x_j = |(x_i)|$.\n",
+    "- **relu**: The output of the computation $x_j$ is a rectified linear function applied to its input $x_i$: $x_j = \\max(0, x_i)$.\n",
+    "- **exp**: The output of the computation $x_j$ is the natural exponential function applied to its input $x_i$: $x_j = \\exp(x_i)$.\n",
+    "- **log**: The output of the computation $x_j$ is the natural logarithm function applied to its input $x_i$: $x_j = \\log(x_i)$.\n",
+    "- **sig**: The output of the computation $x_j$ is a logistic function applied to its input $x_i$: $x_j = \\frac{1}{1 + \\exp(-b * x_i)}$.\n",
+    "- **fac**: The output of the computation $x_j$ is the generalized factorial function applied to its input $x_i$: $x_j = \\Gamma(1 + x_i)$.\n",
+    "- **sqrt**: The output of the computation $x_j$ is the square root function applied to its input $x_i$: $x_j = \\sqrt(x_i)$.\n",
+    "- **pow2**: The output of the computation $x_j$ is the square function applied to its input $x_i$: $x_j$ = $x_i^2$.\n",
+    "- **pow3**: The output of the computation $x_j$ is the cube function applied to its input $x_i$: $x_j$ = $x_i^3$.\n",
+    "- **sin**: The output of the computation $x_j$ is the sine function applied to its input $x_i$: $x_j = \\sin(x_i)$.\n",
+    "- **sinh**: The output of the computation $x_j$ is the hyperbolic sine function applied to its input $x_i$: $x_j = \\sinh(x_i)$.\n",
+    "- **cos**: The output of the computation $x_j$ is the cosine function applied to its input $x_i$: $x_j = \\cos(x_i)$.\n",
+    "- **cosh**: The output of the computation $x_j$ is the hyperbolic cosine function applied to its input $x_i$: $x_j = \\cosh(x_i)$.\n",
+    "- **tan**: The output of the computation $x_j$ is the tangent function applied to its input $x_i$: $x_j = \\tan(x_i)$.\n",
+    "- **tanh**: The output of the computation $x_j$ is the hyperbolic tangent function applied to its input $x_i$: $x_j = \\tanh(x_i)$.\n",
+    "- **\\*\\***: The output of the computation $x_j$ is the first input raised to the power of the second input $x_i,x_{ii}$: $x_j$ = $x_i^{x_{ii}}$.\n",
+    "\n",
+    "## Example"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 0,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "# Uncomment the following line when running on Google Colab\n",
+    "# !pip install autora"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "The following example sets up a search space over four illustrative operations found in Wikipedia pages that are tagged by psychology. These operations are our primitives:"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "outputs": [],
+   "source": [
+    "\n",
+    "primitives = {\n",
+    "    \"Psychology\": {\n",
+    "        \"addition\": 5.8,\n",
+    "        \"subtraction\": 4.3,\n",
+    "        \"multiplication\": 5.0,\n",
+    "        \"division\": 5.5,\n",
+    "    }\n",
+    "}"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "We can then pass these primitives directly to the BMS regressor as follows:"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "outputs": [],
+   "source": [
+    "from autora.skl.bms import BMSRegressor\n",
+    "\n",
+    "bms_estimator = BMSRegressor(\n",
+    "    prior_par=primitives\n",
+    ")\n"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 2
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython2",
+   "version": "2.7.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 0
+}
diff --git a/docs/theorist/bms/search_space.md b/docs/theorist/bms/search_space.md
deleted file mode 100644
index 524b1b528..000000000
--- a/docs/theorist/bms/search_space.md
+++ /dev/null
@@ -1,51 +0,0 @@
-# Bayesian Machine Scientist
-
-## Search space
-
-BMS searches the space of operations according to certain parameters to find the best model. As such, the search space is defined by the set of operations that can be applied in each computation step of the model. These operations are also referred to as *primitives*. We can select from the following set of primitives:
-
-- **$\textit{constant}$**: The output of the computation $x_j$ is a constant parameter value $a$ where $a$ is a fitted float value.
-- **\+**: The output of the computation $x_j$ is the sum over its two inputs $x_i, x_{ii}$: $x_j = x_i + x_{ii}$.
-- **\-**: The output of the computation $x_j$ is the respective difference between its inputs $x_i, x_{ii}$: $x_j = x_i - x_{ii}$.
-- **\***: The output of the computation $x_j$ is the product over its two inputs $x_i, x_{ii}$: $x_j = x_i * x_{ii}$.
-- **\/**: The output of the computation $x_j$ is the respective quotient between its inputs $x_i, x_{ii}$: $x_j = x_i / x_{ii}$.
-- **abs**: The output of the computation $x_j$ is the absolute value of its input $x_i$: $x_j = |(x_i)|$.
-- **relu**: The output of the computation $x_j$ is a rectified linear function applied to its input $x_i$: $x_j = \max(0, x_i)$.
-- **exp**: The output of the computation $x_j$ is the natural exponential function applied to its input $x_i$: $x_j = \exp(x_i)$.
-- **log**: The output of the computation $x_j$ is the natural logarithm function applied to its input $x_i$: $x_j = \log(x_i)$.
-- **sig**: The output of the computation $x_j$ is a logistic function applied to its input $x_i$: $x_j = \frac{1}{1 + \exp(-b * x_i)}$.
-- **fac**: The output of the computation $x_j$ is the generalized factorial function applied to its input $x_i$: $x_j = \Gamma(1 + x_i)$.
-- **sqrt**: The output of the computation $x_j$ is the square root function applied to its input $x_i$: $x_j = \sqrt(x_i)$.
-- **pow2**: The output of the computation $x_j$ is the square function applied to its input $x_i$: $x_j$ = $x_i^2$.
-- **pow3**: The output of the computation $x_j$ is the cube function applied to its input $x_i$: $x_j$ = $x_i^3$.
-- **sin**: The output of the computation $x_j$ is the sine function applied to its input $x_i$: $x_j = \sin(x_i)$.
-- **sinh**: The output of the computation $x_j$ is the hyperbolic sine function applied to its input $x_i$: $x_j = \sinh(x_i)$.
-- **cos**: The output of the computation $x_j$ is the cosine function applied to its input $x_i$: $x_j = \cos(x_i)$.
-- **cosh**: The output of the computation $x_j$ is the hyperbolic cosine function applied to its input $x_i$: $x_j = \cosh(x_i)$.
-- **tan**: The output of the computation $x_j$ is the tangent function applied to its input $x_i$: $x_j = \tan(x_i)$.
-- **tanh**: The output of the computation $x_j$ is the hyperbolic tangent function applied to its input $x_i$: $x_j = \tanh(x_i)$.
-- **\*\***: The output of the computation $x_j$ is the first input raised to the power of the second input $x_i,x_{ii}$: $x_j$ = $x_i^{x_{ii}}$.
-
-## Example
-
-The following example sets up a search space over four illustrative operations found in Wikipedia pages that are tagged by psychology. These operations are our primitives: 
-
-```python
-primitives = {
-    "Psychology": {
-        "addition": 5.8,
-        "subtraction": 4.3,
-        "multiplication": 5.0,
-        "division": 5.5,
-    }
-}
-```
-We can then pass these primitives directly to the BMS regressor as follows:
-
-```python
-from autora.skl.bms import BMSRegressor
-
-bms_estimator = BMSRegressor(
-    prior_par=primitives
-)
-```
diff --git a/docs/theorist/bms/weber.ipynb b/docs/theorist/bms/weber.ipynb
new file mode 100644
index 000000000..ecd2759df
--- /dev/null
+++ b/docs/theorist/bms/weber.ipynb
@@ -0,0 +1,14324 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "3ba2ff78",
+   "metadata": {},
+   "source": [
+    "Example file which shows some simple curve fitting using BMSRegressor and some other estimators."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "outputs": [],
+   "source": [
+    "# Uncomment the following line when running on Google Colab\n",
+    "# !pip install autora"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "id": "41b221c2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from functools import partial\n",
+    "\n",
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "from sklearn.linear_model import LinearRegression\n",
+    "from sklearn.model_selection import GridSearchCV\n",
+    "from sklearn.pipeline import make_pipeline\n",
+    "from sklearn.preprocessing import PolynomialFeatures\n",
+    "import matplotlib.pyplot as plt\n",
+    "from autora.skl.bms import BMSRegressor\n",
+    "from autora.synthetic import retrieve"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "id": "343e2f03",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def show_results_complete(\n",
+    "    data_: pd.DataFrame,\n",
+    "    estimator=None,\n",
+    "    show_results=True,\n",
+    "    projection=\"2d\",\n",
+    "    label=None,\n",
+    "):\n",
+    "    \"\"\"\n",
+    "    Function to plot input data (x_, y_) and the predictions of an estimator for the same x_.\n",
+    "    \"\"\"\n",
+    "    if projection == \"2d\":\n",
+    "        plt.figure()\n",
+    "        data_.plot.scatter(\n",
+    "            \"S1\", \"S2\", c=\"difference_detected\", cmap=\"viridis\", zorder=10\n",
+    "        )\n",
+    "    elif projection == \"3d\":\n",
+    "        fig = plt.figure()\n",
+    "        ax = fig.add_subplot(projection=\"3d\")\n",
+    "        ax.scatter(data_[\"S1\"], data[\"S2\"], data[\"difference_detected\"])\n",
+    "        if estimator is not None:\n",
+    "            xs, ys = np.mgrid[0:5:0.2, 0:5:0.2]  # type: ignore\n",
+    "            zs = estimator.predict(np.column_stack((xs.ravel(), ys.ravel())))\n",
+    "            ax.plot_surface(xs, ys, zs.reshape(xs.shape), alpha=0.5)\n",
+    "\n",
+    "    if label is not None:\n",
+    "        plt.title(label)\n",
+    "\n",
+    "    if show_results:\n",
+    "        plt.show()\n",
+    "\n",
+    "    return"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "outputs": [],
+   "source": [],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "id": "5bfd6747",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/png": 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"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# %% Load the data\n",
+    "s = retrieve(\"weber_fechner\",rng=np.random.default_rng(seed=180), resolution=20)\n",
+    "X_ = s.domain()\n",
+    "y_ = s.experiment_runner(X_)\n",
+    "data = pd.DataFrame(np.column_stack([X_, y_]), columns=[\"S1\", \"S2\", \"difference_detected\"])\n",
+    "show_results = partial(show_results_complete, data_=data, projection=\"3d\")\n",
+    "show_results(label=\"input data\")\n",
+    "X, y = data[[\"S1\", \"S2\"]], data[\"difference_detected\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "id": "89405909",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/jholla10/Library/Caches/pypoetry/virtualenvs/autora-17yK3Jyq-py3.8/lib/python3.8/site-packages/sklearn/base.py:439: UserWarning: X does not have valid feature names, but LinearRegression was fitted with feature names\n",
+      "  warnings.warn(\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/png": 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"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# %% Fit first using a super-simple linear regression\n",
+    "\n",
+    "first_order_linear_estimator = LinearRegression()\n",
+    "first_order_linear_estimator.fit(X, y)\n",
+    "\n",
+    "show_results(estimator=first_order_linear_estimator, label=\"1st order linear\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "id": "f67dbeeb",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/jholla10/Library/Caches/pypoetry/virtualenvs/autora-17yK3Jyq-py3.8/lib/python3.8/site-packages/sklearn/base.py:439: UserWarning: X does not have valid feature names, but PolynomialFeatures was fitted with feature names\n",
+      "  warnings.warn(\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/png": 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"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# %% Fit using a 0-3 order polynomial, getting the best fit for the data.\n",
+    "polynomial_estimator = GridSearchCV(\n",
+    "    make_pipeline(PolynomialFeatures(), LinearRegression(fit_intercept=False)),\n",
+    "    param_grid=dict(polynomialfeatures__degree=range(4)),\n",
+    ")\n",
+    "polynomial_estimator.fit(X, y)\n",
+    "\n",
+    "show_results(estimator=polynomial_estimator, label=\"[0th-3rd]-order linear\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "id": "3d870dbb",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "INFO:autora.skl.bms:BMS fitting started\n",
+      "  0%|          | 7/1500 [00:00<01:15, 19.80it/s]<lambdifygenerated-109678>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return S2**2*_a0_**S1\n",
+      "<lambdifygenerated-109686>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return -_a0_**S2\n",
+      "<lambdifygenerated-109687>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return -_a0_**S2\n",
+      "<lambdifygenerated-109688>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return -_a0_**S2\n",
+      "<lambdifygenerated-109689>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(cos(S1))\n",
+      "<lambdifygenerated-109690>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(cos(S1))\n",
+      "<lambdifygenerated-109691>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(cos(S1))\n",
+      "<lambdifygenerated-109719>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return _a0_**S1/S2\n",
+      "<lambdifygenerated-109743>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(S1/_a0_)\n",
+      "  1%|          | 10/1500 [00:00<01:11, 20.75it/s]/Users/jholla10/Library/Caches/pypoetry/virtualenvs/autora-17yK3Jyq-py3.8/lib/python3.8/site-packages/scipy/optimize/_minpack_py.py:906: OptimizeWarning: Covariance of the parameters could not be estimated\n",
+      "  warnings.warn('Covariance of the parameters could not be estimated',\n",
+      "<lambdifygenerated-109896>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(_a0_/S2**2)\n",
+      "  1%|          | 16/1500 [00:00<01:10, 21.08it/s]<lambdifygenerated-110066>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(cos(S1))\n",
+      "<lambdifygenerated-110067>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(cos(S1))\n",
+      "<lambdifygenerated-110081>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return S2*cos(S2)**(-S1)\n",
+      "<lambdifygenerated-110082>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return S2*cos(S2)**(-S1)\n",
+      "<lambdifygenerated-110083>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return S2*cos(S2)**(-S1)\n",
+      "  1%|▏         | 19/1500 [00:00<01:09, 21.32it/s]<lambdifygenerated-110148>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return (_a0_**3)**_a0_\n",
+      "<lambdifygenerated-110149>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return (_a0_**3)**_a0_\n",
+      "<lambdifygenerated-110150>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return (_a0_**3)**_a0_\n",
+      "<lambdifygenerated-110191>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return _a0_**(-S1)\n",
+      "<lambdifygenerated-110223>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2 + _a0_)**_a0_\n",
+      "<lambdifygenerated-110224>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2 + _a0_)**_a0_\n",
+      "<lambdifygenerated-110225>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2 + _a0_)**_a0_\n",
+      "  1%|▏         | 22/1500 [00:01<01:06, 22.25it/s]<lambdifygenerated-110270>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return fac(_a0_)**_a0_\n",
+      "<lambdifygenerated-110271>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return fac(_a0_)**_a0_\n",
+      "<lambdifygenerated-110272>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return fac(_a0_)**_a0_\n",
+      "<lambdifygenerated-110316>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S1 + _a0_)**_a0_\n",
+      "<lambdifygenerated-110317>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S1 + _a0_)**_a0_\n",
+      "<lambdifygenerated-110318>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S1 + _a0_)**_a0_\n",
+      "<lambdifygenerated-110358>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2 + _a0_)**S1\n",
+      "  2%|▏         | 25/1500 [00:01<01:11, 20.69it/s]<lambdifygenerated-110382>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return S2*_a0_**sin(S1)\n",
+      "<lambdifygenerated-110445>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return _a0_**(-S1)*sig(_a0_/S1)\n",
+      "<lambdifygenerated-110446>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return _a0_**(-S1)*sig(_a0_/S1)\n",
+      "<lambdifygenerated-110447>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return _a0_**(-S1)*sig(_a0_/S1)\n",
+      "<lambdifygenerated-110469>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return tan(S2)**(_a0_/S1)\n",
+      "<lambdifygenerated-110470>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return tan(S2)**(_a0_/S1)\n",
+      "<lambdifygenerated-110471>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return tan(S2)**(_a0_/S1)\n",
+      "  2%|▏         | 28/1500 [00:01<01:11, 20.71it/s]<lambdifygenerated-110509>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return S1**(S2**S2)\n",
+      "/Users/jholla10/Library/Caches/pypoetry/virtualenvs/autora-17yK3Jyq-py3.8/lib/python3.8/site-packages/pandas/core/arraylike.py:402: RuntimeWarning: overflow encountered in square\n",
+      "  result = getattr(ufunc, method)(*inputs, **kwargs)\n",
+      "<lambdifygenerated-110510>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return S1**(S2**S2)\n",
+      "<lambdifygenerated-110511>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return S1**(S2**S2)\n",
+      "<lambdifygenerated-110532>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return -_a0_*_a0_**(-S1)\n",
+      "  2%|▏         | 34/1500 [00:01<01:13, 20.01it/s]<lambdifygenerated-110748>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sig(_a0_**S1)/S1\n",
+      "<lambdifygenerated-110749>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sig(_a0_**S1)/S1\n",
+      "  3%|▎         | 40/1500 [00:01<01:15, 19.45it/s]<lambdifygenerated-110957>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return S2*_a0_**(-S2)\n",
+      "  3%|▎         | 42/1500 [00:02<01:16, 19.18it/s]<lambdifygenerated-111035>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return S2*_a0_**(-S2 - _a0_)\n",
+      "<lambdifygenerated-111072>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return S1**3 + sig(_a0_**S1)**S1\n",
+      "<lambdifygenerated-111097>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(cos(S1))\n",
+      "  3%|▎         | 44/1500 [00:02<01:19, 18.29it/s]<lambdifygenerated-111107>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sin(S1)**((1/2)*_a0_)\n",
+      "<lambdifygenerated-111108>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sin(S1)**((1/2)*_a0_)\n",
+      "<lambdifygenerated-111176>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return -_a0_**_a0_\n",
+      "<lambdifygenerated-111177>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return -_a0_**_a0_\n",
+      "<lambdifygenerated-111178>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return -_a0_**_a0_\n",
+      "  3%|▎         | 46/1500 [00:02<01:25, 17.02it/s]<lambdifygenerated-111238>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return exp(S2**S2)\n",
+      "<lambdifygenerated-111239>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return exp(S2**S2)\n",
+      "<lambdifygenerated-111240>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return exp(S2**S2)\n",
+      "  3%|▎         | 48/1500 [00:02<01:29, 16.20it/s]<lambdifygenerated-111350>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(_a0_))\n",
+      "<lambdifygenerated-111351>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(_a0_))\n",
+      "<lambdifygenerated-111352>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(_a0_))\n",
+      "<lambdifygenerated-111368>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(log(_a0_)/S1)\n",
+      "<lambdifygenerated-111369>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(log(_a0_)/S1)\n",
+      "  3%|▎         | 52/1500 [00:02<01:28, 16.33it/s]<lambdifygenerated-111491>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(cos(S1))\n",
+      "<lambdifygenerated-111548>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sig(_a0_**S1)/S1\n",
+      "  4%|▎         | 56/1500 [00:02<01:29, 16.12it/s]<lambdifygenerated-111631>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return cos(S1)**((1/2)*_a0_)\n",
+      "<lambdifygenerated-111632>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return cos(S1)**((1/2)*_a0_)\n",
+      "  4%|▍         | 58/1500 [00:03<01:27, 16.48it/s]<lambdifygenerated-111721>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(_a0_**_a0_)\n",
+      "<lambdifygenerated-111722>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(_a0_**_a0_)\n",
+      "<lambdifygenerated-111740>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(sin(S2))\n",
+      "<lambdifygenerated-111741>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(sin(S2))\n",
+      "<lambdifygenerated-111742>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(sin(S2))\n",
+      "<lambdifygenerated-111760>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return S2*_a0_**(S2**S2)\n",
+      "/Users/jholla10/Library/Caches/pypoetry/virtualenvs/autora-17yK3Jyq-py3.8/lib/python3.8/site-packages/scipy/optimize/_minpack_py.py:862: RuntimeWarning: overflow encountered in square\n",
+      "  cost = np.sum(infodict['fvec'] ** 2)\n",
+      "<lambdifygenerated-111761>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return S2*_a0_**(S2**S2)\n",
+      "<lambdifygenerated-111762>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return S2*_a0_**(S2**S2)\n",
+      "<lambdifygenerated-111765>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-S1 - _a0_*(S1 + S2))\n",
+      "<lambdifygenerated-111766>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-S1 - _a0_*(S1 + S2))\n",
+      "  4%|▍         | 60/1500 [00:03<01:26, 16.62it/s]<lambdifygenerated-111792>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(S1)**((1/2)*sqrt(_a0_))\n",
+      "<lambdifygenerated-111793>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(S1)**((1/2)*sqrt(_a0_))\n",
+      "<lambdifygenerated-111794>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(S1)**((1/2)*sqrt(_a0_))\n",
+      "<lambdifygenerated-111795>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2*(S1*S2)**(1/4)/_a0_)**_a0_\n",
+      "<lambdifygenerated-111813>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(_a0_)/sqrt(sin(S1))\n",
+      "<lambdifygenerated-111814>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(_a0_)/sqrt(sin(S1))\n",
+      "<lambdifygenerated-111815>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(_a0_)/sqrt(sin(S1))\n",
+      "  4%|▍         | 62/1500 [00:03<01:24, 17.07it/s]<lambdifygenerated-111883>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu((_a0_**S1)**_a0_)\n",
+      "<lambdifygenerated-111884>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu((_a0_**S1)**_a0_)\n",
+      "<lambdifygenerated-111885>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu((_a0_**S1)**_a0_)\n",
+      "<lambdifygenerated-111936>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(log(S2)/S1)\n",
+      "<lambdifygenerated-111937>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(log(S2)/S1)\n",
+      "<lambdifygenerated-111938>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(log(S2)/S1)\n",
+      "  4%|▍         | 64/1500 [00:03<01:22, 17.31it/s]<lambdifygenerated-111946>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(_a0_)**((1/2)*_a0_)\n",
+      "<lambdifygenerated-111947>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(_a0_)**((1/2)*_a0_)\n",
+      "<lambdifygenerated-111954>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return S2 + _a0_**relu(S1)\n",
+      "<lambdifygenerated-111958>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(S1**(S1**S1))\n",
+      "<lambdifygenerated-111959>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(S1**(S1**S1))\n",
+      "<lambdifygenerated-111960>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(S1**(S1**S1))\n",
+      "<lambdifygenerated-111961>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-(S1 + S2)*(S1 + _a0_)/S1)\n",
+      "<lambdifygenerated-111962>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-(S1 + S2)*(S1 + _a0_)/S1)\n",
+      "<lambdifygenerated-111963>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-(S1 + S2)*(S1 + _a0_)/S1)\n",
+      "<lambdifygenerated-112008>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-_a0_*(S1 + _a0_)/S1)\n",
+      "<lambdifygenerated-112009>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-_a0_*(S1 + _a0_)/S1)\n",
+      "  4%|▍         | 66/1500 [00:03<01:26, 16.57it/s]<lambdifygenerated-112035>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return _a0_**((1/2)*_a0_)\n",
+      "<lambdifygenerated-112036>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return _a0_**((1/2)*_a0_)\n",
+      "<lambdifygenerated-112037>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return _a0_**((1/2)*_a0_)\n",
+      "<lambdifygenerated-112048>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-(S1 + S2)*cosh(S2)/S1)\n",
+      "<lambdifygenerated-112049>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-(S1 + S2)*cosh(S2)/S1)\n",
+      "<lambdifygenerated-112050>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-(S1 + S2)*cosh(S2)/S1)\n",
+      "<lambdifygenerated-112106>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-_a0_/S1)\n",
+      "<lambdifygenerated-112107>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-_a0_/S1)\n",
+      "<lambdifygenerated-112108>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-_a0_/S1)\n",
+      "  5%|▍         | 68/1500 [00:03<01:29, 16.04it/s]<lambdifygenerated-112153>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return tan(relu(S1))**_a0_\n",
+      "<lambdifygenerated-112154>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return tan(relu(S1))**_a0_\n",
+      "<lambdifygenerated-112161>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return S1**(_a0_**S2)\n",
+      "<lambdifygenerated-112162>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return S1**(_a0_**S2)\n",
+      "<lambdifygenerated-112163>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return S1**(_a0_**S2)\n",
+      "<lambdifygenerated-112165>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-_a0_*(S1 + tan(_a0_))/S1)\n",
+      "<lambdifygenerated-112166>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-_a0_*(S1 + tan(_a0_))/S1)\n",
+      "<lambdifygenerated-112167>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-_a0_*(S1 + tan(_a0_))/S1)\n",
+      "<lambdifygenerated-112173>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S1/_a0_)**(_a0_/S1)\n",
+      "<lambdifygenerated-112174>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S1/_a0_)**(_a0_/S1)\n",
+      "<lambdifygenerated-112175>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S1/_a0_)**(_a0_/S1)\n",
+      "  5%|▍         | 70/1500 [00:04<02:30,  9.48it/s]<lambdifygenerated-112209>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu((S2/_a0_)**_a0_)\n",
+      "<lambdifygenerated-112210>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu((S2/_a0_)**_a0_)\n",
+      "<lambdifygenerated-112211>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu((S2/_a0_)**_a0_)\n",
+      "<lambdifygenerated-112222>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return S1**(-relu(fac(_a0_)))\n",
+      "<lambdifygenerated-112231>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(log(_a0_/S1))\n",
+      "<lambdifygenerated-112232>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(log(_a0_/S1))\n",
+      "<lambdifygenerated-112275>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(tan(_a0_))\n",
+      "<lambdifygenerated-112276>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(tan(_a0_))\n",
+      "<lambdifygenerated-112277>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(tan(_a0_))\n",
+      "  5%|▍         | 72/1500 [00:04<02:14, 10.63it/s]<lambdifygenerated-112286>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return ((S1*S2)**(1/4)/_a0_)**_a0_\n",
+      "<lambdifygenerated-112298>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return S1**(_a0_**S2)\n",
+      "<lambdifygenerated-112299>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return S1**(_a0_**S2)\n",
+      "<lambdifygenerated-112341>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return S2*_a0_**relu(_a0_/S1)\n",
+      "<lambdifygenerated-112359>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(tan(S1))\n",
+      "<lambdifygenerated-112360>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(tan(S1))\n",
+      "<lambdifygenerated-112361>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(tan(S1))\n",
+      "  5%|▍         | 74/1500 [00:04<02:05, 11.35it/s]<lambdifygenerated-112383>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-S2**_a0_*(S2 + _a0_**2)/S1)\n",
+      "<lambdifygenerated-112384>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-S2**_a0_*(S2 + _a0_**2)/S1)\n",
+      "<lambdifygenerated-112385>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-S2**_a0_*(S2 + _a0_**2)/S1)\n",
+      "<lambdifygenerated-112429>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return _a0_**sin(_a0_)\n",
+      "<lambdifygenerated-112430>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return _a0_**sin(_a0_)\n",
+      "<lambdifygenerated-112444>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(cos(S2))\n",
+      "<lambdifygenerated-112445>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(cos(S2))\n",
+      "<lambdifygenerated-112446>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(cos(S2))\n",
+      "<lambdifygenerated-112454>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(_a0_/S1)/S1\n",
+      "<lambdifygenerated-112455>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(_a0_/S1)/S1\n",
+      "  5%|▌         | 76/1500 [00:04<01:55, 12.38it/s]<lambdifygenerated-112464>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return _a0_*sig(sig(log(_a0_)))**(_a0_**2)\n",
+      "<lambdifygenerated-112512>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (tan(sqrt(S2*_a0_*relu(S1)))/S1)**_a0_\n",
+      "<lambdifygenerated-112513>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (tan(sqrt(S2*_a0_*relu(S1)))/S1)**_a0_\n",
+      "<lambdifygenerated-112514>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sig(sig(log(_a0_)))**(S1*_a0_)*tanh(_a0_)\n",
+      "<lambdifygenerated-112526>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-_a0_*(S2 + 2*_a0_)/S1)\n",
+      "<lambdifygenerated-112527>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-_a0_*(S2 + 2*_a0_)/S1)\n",
+      "<lambdifygenerated-112528>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-_a0_*(S2 + 2*_a0_)/S1)\n",
+      "<lambdifygenerated-112529>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return S1**(_a0_**S1)\n",
+      "<lambdifygenerated-112530>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return S1**(_a0_**S1)\n",
+      "<lambdifygenerated-112531>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return S1**(_a0_**S1)\n",
+      "<lambdifygenerated-112551>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return log(_a0_*_a0_**(-_a0_))\n",
+      "  5%|▌         | 78/1500 [00:04<01:53, 12.52it/s]<lambdifygenerated-112559>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2*_a0_*relu(S1))**(1/4)/S1\n",
+      "<lambdifygenerated-112607>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-S2 - _a0_**2)\n",
+      "<lambdifygenerated-112608>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-S2 - _a0_**2)\n",
+      "<lambdifygenerated-112613>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return (2*_a0_)**tanh(_a0_)\n",
+      "<lambdifygenerated-112614>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return (2*_a0_)**tanh(_a0_)\n",
+      "<lambdifygenerated-112615>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return (2*_a0_)**tanh(_a0_)\n",
+      "  5%|▌         | 80/1500 [00:04<01:43, 13.68it/s]<lambdifygenerated-112683>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(S2*_a0_))**_a0_\n",
+      "<lambdifygenerated-112684>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(S2*_a0_))**_a0_\n",
+      "<lambdifygenerated-112685>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(S2*_a0_))**_a0_\n",
+      "<lambdifygenerated-112694>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-_a0_*(_a0_**2 + _a0_)/S1)\n",
+      "<lambdifygenerated-112695>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-_a0_*(_a0_**2 + _a0_)/S1)\n",
+      "<lambdifygenerated-112698>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(_a0_)/sqrt(log(S1))\n",
+      "<lambdifygenerated-112699>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(_a0_)/sqrt(log(S1))\n",
+      "<lambdifygenerated-112700>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(_a0_)/sqrt(log(S1))\n",
+      "  5%|▌         | 82/1500 [00:04<01:41, 13.98it/s]<lambdifygenerated-112726>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(_a0_)**_a0_\n",
+      "<lambdifygenerated-112727>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(_a0_)**_a0_\n",
+      "<lambdifygenerated-112728>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(_a0_)**_a0_\n",
+      "<lambdifygenerated-112742>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return _a0_**tanh(_a0_)\n",
+      "<lambdifygenerated-112743>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return _a0_**tanh(_a0_)\n",
+      "<lambdifygenerated-112773>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-_a0_*(_a0_**2 + _a0_)/S1)\n",
+      "<lambdifygenerated-112782>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-_a0_/S1)\n",
+      "<lambdifygenerated-112783>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-_a0_/S1)\n",
+      "<lambdifygenerated-112784>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-_a0_/S1)\n",
+      "  6%|▌         | 84/1500 [00:05<01:38, 14.37it/s]<lambdifygenerated-112806>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(_a0_/S2)**_a0_\n",
+      "<lambdifygenerated-112807>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(_a0_/S2)**_a0_\n",
+      "<lambdifygenerated-112808>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(_a0_/S2)**_a0_\n",
+      "<lambdifygenerated-112839>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(S2/tan(S2))\n",
+      "<lambdifygenerated-112840>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(S2/tan(S2))\n",
+      "<lambdifygenerated-112841>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(S2/tan(S2))\n",
+      "<lambdifygenerated-112855>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-_a0_*(S2 + fac(S2))/S1)\n",
+      "<lambdifygenerated-112858>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(_a0_)**sin(_a0_)\n",
+      "<lambdifygenerated-112859>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(_a0_)**sin(_a0_)\n",
+      "<lambdifygenerated-112860>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(_a0_)**sin(_a0_)\n",
+      "  6%|▌         | 86/1500 [00:05<01:40, 14.08it/s]<lambdifygenerated-112894>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return S1**(_a0_**S2)\n",
+      "<lambdifygenerated-112895>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return S1**(_a0_**S2)\n",
+      "<lambdifygenerated-112901>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return S1**(-relu(_a0_**S1))\n",
+      "<lambdifygenerated-112914>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(cos(S2))\n",
+      "<lambdifygenerated-112915>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(cos(S2))\n",
+      "<lambdifygenerated-112916>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(cos(S2))\n",
+      "<lambdifygenerated-112935>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(S1**log(_a0_))\n",
+      "<lambdifygenerated-112936>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(S1**log(_a0_))\n",
+      "<lambdifygenerated-112937>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(S1**log(_a0_))\n",
+      "<lambdifygenerated-112956>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return _a0_**(-S2)*sig(_a0_/S1)\n",
+      "<lambdifygenerated-112957>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return _a0_**(-S2)*sig(_a0_/S1)\n",
+      "<lambdifygenerated-112958>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return _a0_**(-S2)*sig(_a0_/S1)\n",
+      "  6%|▌         | 88/1500 [00:05<01:40, 14.06it/s]<lambdifygenerated-112965>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(_a0_/S2)**_a0_\n",
+      "<lambdifygenerated-112966>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(_a0_/S2)**_a0_\n",
+      "<lambdifygenerated-113008>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return S2*(_a0_**_a0_)**relu(S1)\n",
+      "<lambdifygenerated-113009>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return S2*(_a0_**_a0_)**relu(S1)\n",
+      "<lambdifygenerated-113010>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return S2*(_a0_**_a0_)**relu(S1)\n",
+      "<lambdifygenerated-113017>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sqrt(2)*sqrt(-S2*_a0_**S2/S1)\n",
+      "<lambdifygenerated-113018>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sqrt(2)*sqrt(-S2*_a0_**S2/S1)\n",
+      "<lambdifygenerated-113019>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sqrt(2)*sqrt(-S2*_a0_**S2/S1)\n",
+      "<lambdifygenerated-113038>:2: RuntimeWarning: overflow encountered in cosh\n",
+      "  return cosh(S1**(-S2)*_a0_)\n",
+      "<lambdifygenerated-113039>:2: RuntimeWarning: overflow encountered in cosh\n",
+      "  return cosh(S1**(-S2)*_a0_)\n",
+      "<lambdifygenerated-113040>:2: RuntimeWarning: overflow encountered in cosh\n",
+      "  return cosh(S1**(-S2)*_a0_)\n",
+      "<lambdifygenerated-113041>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(cos(S2)/S1)\n",
+      "<lambdifygenerated-113042>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(cos(S2)/S1)\n",
+      "<lambdifygenerated-113043>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(cos(S2)/S1)\n",
+      "  6%|▌         | 90/1500 [00:05<01:36, 14.56it/s]<lambdifygenerated-113060>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu((S1 + _a0_)**_a0_)\n",
+      "<lambdifygenerated-113061>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu((S1 + _a0_)**_a0_)\n",
+      "<lambdifygenerated-113062>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu((S1 + _a0_)**_a0_)\n",
+      "<lambdifygenerated-113063>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-_a0_*(S2 + _a0_)/S1)\n",
+      "<lambdifygenerated-113064>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-_a0_*(S2 + _a0_)/S1)\n",
+      "<lambdifygenerated-113079>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sin(_a0_)**_a0_\n",
+      "<lambdifygenerated-113080>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sin(_a0_)**_a0_\n",
+      "<lambdifygenerated-113081>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sin(_a0_)**_a0_\n",
+      "<lambdifygenerated-113121>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(2)*sqrt(-S2*_a0_/S1)/S1\n",
+      "  6%|▌         | 92/1500 [00:05<01:40, 14.05it/s]<lambdifygenerated-113158>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-_a0_*fac(S2)/S1)\n",
+      "<lambdifygenerated-113199>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(2)*sqrt(-S2*(S2 + _a0_)/S1)\n",
+      "<lambdifygenerated-113200>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(2)*sqrt(-S2*(S2 + _a0_)/S1)\n",
+      "<lambdifygenerated-113201>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(2)*sqrt(-S2*(S2 + _a0_)/S1)\n",
+      "  6%|▋         | 94/1500 [00:05<01:35, 14.65it/s]<lambdifygenerated-113235>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return ((-S1)**(1/4)/S1)**_a0_\n",
+      "<lambdifygenerated-113236>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return ((-S1)**(1/4)/S1)**_a0_\n",
+      "<lambdifygenerated-113237>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return ((-S1)**(1/4)/S1)**_a0_\n",
+      "<lambdifygenerated-113244>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sqrt(-(2*S2*_a0_)**S1)\n",
+      "<lambdifygenerated-113245>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sqrt(-(2*S2*_a0_)**S1)\n",
+      "<lambdifygenerated-113256>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(log(S1))**(-relu(_a0_))\n",
+      "<lambdifygenerated-113257>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(log(S1))**(-relu(_a0_))\n",
+      "<lambdifygenerated-113258>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(log(S1))**(-relu(_a0_))\n",
+      "<lambdifygenerated-113264>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sin(_a0_)**_a0_\n",
+      "<lambdifygenerated-113265>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sin(_a0_)**_a0_\n",
+      "<lambdifygenerated-113284>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sqrt(-(2*S2*_a0_)**S1)\n",
+      "  6%|▋         | 96/1500 [00:05<01:32, 15.17it/s]<lambdifygenerated-113312>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(sqrt(_a0_)))**_a0_\n",
+      "<lambdifygenerated-113313>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(sqrt(_a0_)))**_a0_\n",
+      "<lambdifygenerated-113314>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(sqrt(_a0_)))**_a0_\n",
+      "<lambdifygenerated-113361>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(_a0_))**_a0_\n",
+      "<lambdifygenerated-113362>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(_a0_))**_a0_\n",
+      "<lambdifygenerated-113368>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-_a0_*cosh(S2)/S1)\n",
+      "<lambdifygenerated-113370>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2 + _a0_)**sin(_a0_)\n",
+      "<lambdifygenerated-113371>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2 + _a0_)**sin(_a0_)\n",
+      "<lambdifygenerated-113372>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2 + _a0_)**sin(_a0_)\n",
+      "<lambdifygenerated-113397>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return _a0_**(-_a0_)*sig(_a0_/S1)\n",
+      "<lambdifygenerated-113398>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return _a0_**(-_a0_)*sig(_a0_/S1)\n",
+      "<lambdifygenerated-113399>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return _a0_**(-_a0_)*sig(_a0_/S1)\n",
+      "  7%|▋         | 98/1500 [00:06<01:34, 14.82it/s]<lambdifygenerated-113406>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(_a0_)**_a0_\n",
+      "<lambdifygenerated-113407>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(_a0_)**_a0_\n",
+      "<lambdifygenerated-113412>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-_a0_*relu(S2)/tan(S2))\n",
+      "<lambdifygenerated-113413>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-_a0_*relu(S2)/tan(S2))\n",
+      "<lambdifygenerated-113414>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-_a0_*relu(S2)/tan(S2))\n",
+      "<lambdifygenerated-113446>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(cos(S1))**_a0_\n",
+      "<lambdifygenerated-113447>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(cos(S1))**_a0_\n",
+      "<lambdifygenerated-113453>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(sinh(_a0_*relu(S2)/S1))\n",
+      "<lambdifygenerated-113454>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(sinh(_a0_*relu(S2)/S1))\n",
+      "<lambdifygenerated-113472>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(_a0_/S1)/S1\n",
+      "<lambdifygenerated-113473>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(_a0_/S1)/S1\n",
+      "  7%|▋         | 100/1500 [00:06<01:29, 15.56it/s]<lambdifygenerated-113485>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return S1**sin(_a0_**S2)\n",
+      "<lambdifygenerated-113486>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return S1**sin(_a0_**S2)\n",
+      "<lambdifygenerated-113487>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return S1**sin(_a0_**S2)\n",
+      "<lambdifygenerated-113513>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return _a0_**S1/S1\n",
+      "<lambdifygenerated-113552>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S1 + _a0_)**S1\n",
+      "  7%|▋         | 102/1500 [00:06<01:30, 15.40it/s]<lambdifygenerated-113559>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(_a0_)**_a0_\n",
+      "<lambdifygenerated-113560>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(_a0_)**_a0_\n",
+      "<lambdifygenerated-113564>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-relu(S2)/(S2*_a0_))\n",
+      "<lambdifygenerated-113584>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return cosh(log(_a0_)**S1)\n",
+      "<lambdifygenerated-113585>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return cosh(log(_a0_)**S1)\n",
+      "<lambdifygenerated-113596>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(S1*_a0_)**_a0_\n",
+      "<lambdifygenerated-113597>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(S1*_a0_)**_a0_\n",
+      "<lambdifygenerated-113598>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(S1*_a0_)**_a0_\n",
+      "<lambdifygenerated-113603>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sqrt(-_a0_**(-S2)*relu(S2)/S1)\n",
+      "<lambdifygenerated-113604>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sqrt(-_a0_**(-S2)*relu(S2)/S1)\n",
+      "<lambdifygenerated-113605>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sqrt(-_a0_**(-S2)*relu(S2)/S1)\n",
+      "<lambdifygenerated-113619>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(_a0_/S1**3)\n",
+      "<lambdifygenerated-113627>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return cosh((1/2)*log(_a0_)/_a0_)\n",
+      "  7%|▋         | 104/1500 [00:06<01:32, 15.04it/s]<lambdifygenerated-113635>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return ((S2*_a0_)**(1/4)/S2)**_a0_\n",
+      "<lambdifygenerated-113648>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return S1**(_a0_**_a0_)\n",
+      "<lambdifygenerated-113649>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return S1**(_a0_**_a0_)\n",
+      "<lambdifygenerated-113650>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return S1**(_a0_**_a0_)\n",
+      "<lambdifygenerated-113660>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(_a0_/tan(S2))\n",
+      "<lambdifygenerated-113661>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(_a0_/tan(S2))\n",
+      "<lambdifygenerated-113662>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(_a0_/tan(S2))\n",
+      "<lambdifygenerated-113666>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(cos(S1 + _a0_))\n",
+      "<lambdifygenerated-113667>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(cos(S1 + _a0_))\n",
+      "<lambdifygenerated-113678>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return ((1/2)*(S2*_a0_)**(1/4)/S2)**_a0_\n",
+      "<lambdifygenerated-113689>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(sinh(relu(S2)/(S1*_a0_)))\n",
+      "<lambdifygenerated-113690>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(sinh(relu(S2)/(S1*_a0_)))\n",
+      "  7%|▋         | 106/1500 [00:06<01:32, 15.00it/s]<lambdifygenerated-113736>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-1/S1)\n",
+      "<lambdifygenerated-113737>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-1/S1)\n",
+      "<lambdifygenerated-113738>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-1/S1)\n",
+      "<lambdifygenerated-113739>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return _a0_**sin(_a0_)\n",
+      "<lambdifygenerated-113755>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S1)\n",
+      "<lambdifygenerated-113756>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S1)\n",
+      "<lambdifygenerated-113757>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S1)\n",
+      "<lambdifygenerated-113779>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2 + _a0_)**_a0_\n",
+      "<lambdifygenerated-113780>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2 + _a0_)**_a0_\n",
+      "<lambdifygenerated-113784>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return tan(sinh(S1))**(-relu(_a0_))\n",
+      "<lambdifygenerated-113785>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return tan(sinh(S1))**(-relu(_a0_))\n",
+      "<lambdifygenerated-113789>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2/_a0_)**_a0_\n",
+      "<lambdifygenerated-113790>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2/_a0_)**_a0_\n",
+      "<lambdifygenerated-113791>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2/_a0_)**_a0_\n",
+      "<lambdifygenerated-113803>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sig(sqrt(_a0_))/S1\n",
+      "<lambdifygenerated-113804>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sig(sqrt(_a0_))/S1\n",
+      "<lambdifygenerated-113805>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sig(sqrt(_a0_))/S1\n",
+      "  7%|▋         | 108/1500 [00:06<01:34, 14.81it/s]<lambdifygenerated-113856>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(sin(S2)))**_a0_\n",
+      "<lambdifygenerated-113857>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(sin(S2)))**_a0_\n",
+      "<lambdifygenerated-113858>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(sin(S2)))**_a0_\n",
+      "<lambdifygenerated-113869>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sin(S1)**_a0_\n",
+      "<lambdifygenerated-113870>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sin(S1)**_a0_\n",
+      "<lambdifygenerated-113871>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sin(S1)**_a0_\n",
+      "<lambdifygenerated-113877>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S1*_a0_)**_a0_\n",
+      "<lambdifygenerated-113878>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S1*_a0_)**_a0_\n",
+      "<lambdifygenerated-113879>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S1*_a0_)**_a0_\n",
+      "  7%|▋         | 110/1500 [00:06<01:34, 14.76it/s]<lambdifygenerated-113909>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-relu(S1)/(S1*_a0_))\n",
+      "<lambdifygenerated-113911>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2 + _a0_)**cos(_a0_)\n",
+      "<lambdifygenerated-113912>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2 + _a0_)**cos(_a0_)\n",
+      "<lambdifygenerated-113913>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2 + _a0_)**cos(_a0_)\n",
+      "<lambdifygenerated-113943>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2*_a0_)**(1/4)/S1\n",
+      "<lambdifygenerated-113950>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (-relu(S2)/(S1*_a0_))**(1/4)\n",
+      "<lambdifygenerated-113952>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return -_a0_**cos(_a0_)\n",
+      "<lambdifygenerated-113953>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return -_a0_**cos(_a0_)\n",
+      "<lambdifygenerated-113954>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return -_a0_**cos(_a0_)\n",
+      "  7%|▋         | 112/1500 [00:06<01:32, 15.00it/s]<lambdifygenerated-113981>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (cos(S2)**(1/4)/S1)**_a0_\n",
+      "<lambdifygenerated-113982>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (cos(S2)**(1/4)/S1)**_a0_\n",
+      "<lambdifygenerated-113983>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (cos(S2)**(1/4)/S1)**_a0_\n",
+      "<lambdifygenerated-114003>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(S1))**(-relu(_a0_**S2))\n",
+      "<lambdifygenerated-114030>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-1/S1)\n",
+      "<lambdifygenerated-114031>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-1/S1)\n",
+      "  8%|▊         | 114/1500 [00:07<01:29, 15.41it/s]<lambdifygenerated-114067>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return S1**(_a0_**S2)\n",
+      "<lambdifygenerated-114068>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return S1**(_a0_**S2)\n",
+      "<lambdifygenerated-114095>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-relu(S2)/_a0_**3)\n",
+      "<lambdifygenerated-114098>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(S2/_a0_)**_a0_\n",
+      "<lambdifygenerated-114099>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(S2/_a0_)**_a0_\n",
+      "<lambdifygenerated-114100>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(S2/_a0_)**_a0_\n",
+      "  8%|▊         | 116/1500 [00:07<01:26, 15.92it/s]<lambdifygenerated-114186>:2: RuntimeWarning: invalid value encountered in divide\n",
+      "  return relu(_a0_)/(sqrt(S1)*_a0_)\n",
+      "<lambdifygenerated-114188>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return tan(_a0_)**_a0_\n",
+      "<lambdifygenerated-114189>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return tan(_a0_)**_a0_\n",
+      "<lambdifygenerated-114190>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return tan(_a0_)**_a0_\n",
+      "  8%|▊         | 118/1500 [00:07<01:27, 15.84it/s]<lambdifygenerated-114208>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return _a0_**_a0_*sig(_a0_)**S1\n",
+      "<lambdifygenerated-114209>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return _a0_**_a0_*sig(_a0_)**S1\n",
+      "<lambdifygenerated-114210>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return _a0_**_a0_*sig(_a0_)**S1\n",
+      "<lambdifygenerated-114215>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(log(S1))**_a0_\n",
+      "<lambdifygenerated-114216>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(log(S1))**_a0_\n",
+      "<lambdifygenerated-114230>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S2/S1)\n",
+      "<lambdifygenerated-114231>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S2/S1)\n",
+      "<lambdifygenerated-114232>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S2/S1)\n",
+      "<lambdifygenerated-114243>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return (S1 + S2)*sig(S2*_a0_)**(S1*_a0_)\n",
+      "<lambdifygenerated-114252>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-S2/(S1*_a0_**2))\n",
+      "<lambdifygenerated-114253>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-S2/(S1*_a0_**2))\n",
+      "<lambdifygenerated-114254>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-S2/(S1*_a0_**2))\n",
+      "<lambdifygenerated-114273>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(cos(S1 + _a0_)))\n",
+      "<lambdifygenerated-114274>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(cos(S1 + _a0_)))\n",
+      "<lambdifygenerated-114285>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return _a0_/log(_a0_)\n",
+      "  8%|▊         | 120/1500 [00:07<01:35, 14.40it/s]<lambdifygenerated-114297>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return S1**log(_a0_)\n",
+      "<lambdifygenerated-114298>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return S1**log(_a0_)\n",
+      "<lambdifygenerated-114340>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return tan(S1)**cos(_a0_)\n",
+      "<lambdifygenerated-114341>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return tan(S1)**cos(_a0_)\n",
+      "<lambdifygenerated-114342>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return tan(S1)**cos(_a0_)\n",
+      "  8%|▊         | 122/1500 [00:07<01:33, 14.68it/s]<lambdifygenerated-114375>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-(_a0_ + relu(S2))/S1)\n",
+      "<lambdifygenerated-114376>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-(_a0_ + relu(S2))/S1)\n",
+      "<lambdifygenerated-114377>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(S2/_a0_))**_a0_\n",
+      "<lambdifygenerated-114378>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(S2/_a0_))**_a0_\n",
+      "<lambdifygenerated-114379>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(S2/_a0_))**_a0_\n",
+      "<lambdifygenerated-114409>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-S1**_a0_/(S1*_a0_))\n",
+      "<lambdifygenerated-114418>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return _a0_**(-S2)*sig(_a0_)\n",
+      "<lambdifygenerated-114419>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return _a0_**(-S2)*sig(_a0_)\n",
+      "<lambdifygenerated-114420>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return _a0_**(-S2)*sig(_a0_)\n",
+      "<lambdifygenerated-114421>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(_a0_**S2))**(-_a0_)\n",
+      "  8%|▊         | 124/1500 [00:07<01:27, 15.69it/s]<lambdifygenerated-114441>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-1/S1)\n",
+      "<lambdifygenerated-114442>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-1/S1)\n",
+      "  8%|▊         | 126/1500 [00:07<01:23, 16.43it/s]<lambdifygenerated-114535>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sig(_a0_/S1)/log(_a0_)\n",
+      "<lambdifygenerated-114536>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sig(_a0_/S1)/log(_a0_)\n",
+      "<lambdifygenerated-114537>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sig(_a0_/S1)/log(_a0_)\n",
+      "<lambdifygenerated-114576>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S1 + _a0_)**(2*S1)\n",
+      "  9%|▊         | 128/1500 [00:07<01:23, 16.42it/s]<lambdifygenerated-114592>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(S2 + _a0_))**_a0_\n",
+      "<lambdifygenerated-114593>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(S2 + _a0_))**_a0_\n",
+      "<lambdifygenerated-114594>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(S2 + _a0_))**_a0_\n",
+      "<lambdifygenerated-114638>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sin(S1))**(-_a0_)\n",
+      "<lambdifygenerated-114639>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sin(S1))**(-_a0_)\n",
+      "  9%|▊         | 130/1500 [00:08<01:23, 16.46it/s]<lambdifygenerated-114663>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return ((S2*_a0_)**(1/4)/S1)**(sqrt(S2))\n",
+      "<lambdifygenerated-114672>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(_a0_)**_a0_\n",
+      "<lambdifygenerated-114673>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(_a0_)**_a0_\n",
+      "<lambdifygenerated-114679>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(-S1)**(-_a0_)\n",
+      "<lambdifygenerated-114680>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(-S1)**(-_a0_)\n",
+      "  9%|▉         | 132/1500 [00:08<01:23, 16.47it/s]<lambdifygenerated-114748>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(S2 + _a0_))**_a0_\n",
+      "<lambdifygenerated-114749>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(S2 + _a0_))**_a0_\n",
+      "<lambdifygenerated-114753>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return S1**(S1**S1)\n",
+      "<lambdifygenerated-114754>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return S1**(S1**S1)\n",
+      "<lambdifygenerated-114755>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return S1**(S1**S1)\n",
+      "<lambdifygenerated-114768>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sig(_a0_/S1)/log(_a0_)\n",
+      "<lambdifygenerated-114769>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sig(_a0_/S1)/log(_a0_)\n",
+      "<lambdifygenerated-114793>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return _a0_**S2/S1\n",
+      "<lambdifygenerated-114794>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return _a0_**S2/S1\n",
+      "<lambdifygenerated-114795>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return _a0_**S2/S1\n",
+      "<lambdifygenerated-114805>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(_a0_/S1**2)\n",
+      "  9%|▉         | 134/1500 [00:08<01:21, 16.67it/s]<lambdifygenerated-114825>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-relu(S2)/(_a0_*sin(S1)))\n",
+      "<lambdifygenerated-114826>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-relu(S2)/(_a0_*sin(S1)))\n",
+      "<lambdifygenerated-114838>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2 + _a0_)**_a0_\n",
+      "<lambdifygenerated-114839>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2 + _a0_)**_a0_\n",
+      "<lambdifygenerated-114865>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return S2*tanh(_a0_)**S1\n",
+      "<lambdifygenerated-114866>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return S2*tanh(_a0_)**S1\n",
+      "<lambdifygenerated-114887>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(_a0_)/sqrt(sin(S1))\n",
+      "<lambdifygenerated-114888>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(_a0_)/sqrt(sin(S1))\n",
+      "<lambdifygenerated-114895>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(_a0_/S1)/S1\n",
+      "  9%|▉         | 136/1500 [00:08<01:23, 16.40it/s]<lambdifygenerated-114900>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-1/relu(S1))\n",
+      "<lambdifygenerated-114901>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-1/relu(S1))\n",
+      "<lambdifygenerated-114902>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-1/relu(S1))\n",
+      "<lambdifygenerated-114919>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(tan(S1)/S1)\n",
+      "<lambdifygenerated-114920>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(tan(S1)/S1)\n",
+      "<lambdifygenerated-114921>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(tan(S1)/S1)\n",
+      "<lambdifygenerated-114945>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return sqrt(-relu(S2)/(_a0_*relu(sinh(_a0_))))\n",
+      "<lambdifygenerated-114946>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return sqrt(-relu(S2)/(_a0_*relu(sinh(_a0_))))\n",
+      "<lambdifygenerated-114947>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return sqrt(-relu(S2)/(_a0_*relu(sinh(_a0_))))\n",
+      "  9%|▉         | 138/1500 [00:08<01:24, 16.21it/s]<lambdifygenerated-115027>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return (S1 + S2)*sig(S1 + _a0_)**(S1*_a0_)\n",
+      "<lambdifygenerated-115032>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return sqrt(-relu(S2)/(_a0_*relu(_a0_)))\n",
+      "<lambdifygenerated-115033>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return sqrt(-relu(S2)/(_a0_*relu(_a0_)))\n",
+      "<lambdifygenerated-115034>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return S1**(_a0_**S2)\n",
+      "<lambdifygenerated-115035>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return S1**(_a0_**S2)\n",
+      "  9%|▉         | 140/1500 [00:08<01:28, 15.31it/s]<lambdifygenerated-115072>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(sin(relu(S2)/(_a0_*relu(S1))))\n",
+      "<lambdifygenerated-115073>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(sin(relu(S2)/(_a0_*relu(S1))))\n",
+      "<lambdifygenerated-115083>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return (_a0_**3)**_a0_\n",
+      "<lambdifygenerated-115084>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return (_a0_**3)**_a0_\n",
+      "<lambdifygenerated-115087>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(log(S1)/S1)\n",
+      "<lambdifygenerated-115088>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(log(S1)/S1)\n",
+      "<lambdifygenerated-115089>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(log(S1)/S1)\n",
+      "<lambdifygenerated-115112>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return ((S2*_a0_)**((1/4)*S1))**_a0_\n",
+      "<lambdifygenerated-115116>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-relu(S2)/(S2*relu(S1)))\n",
+      "<lambdifygenerated-115117>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-relu(S2)/(S2*relu(S1)))\n",
+      "  9%|▉         | 142/1500 [00:08<01:26, 15.68it/s]<lambdifygenerated-115145>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-relu(S2)*exp(-S1)/_a0_)\n",
+      "<lambdifygenerated-115149>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(S2 + _a0_)**_a0_)\n",
+      "<lambdifygenerated-115150>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(S2 + _a0_)**_a0_)\n",
+      "<lambdifygenerated-115151>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(S2 + _a0_)**_a0_)\n",
+      "<lambdifygenerated-115167>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(exp(cos(S1 + _a0_ + exp(S2/_a0_))))\n",
+      "<lambdifygenerated-115167>:2: RuntimeWarning: invalid value encountered in cos\n",
+      "  return relu(exp(cos(S1 + _a0_ + exp(S2/_a0_))))\n",
+      "<lambdifygenerated-115185>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-S2**(-S1)*relu(S2)/relu(S1))\n",
+      "<lambdifygenerated-115186>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-S2**(-S1)*relu(S2)/relu(S1))\n",
+      "<lambdifygenerated-115187>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-S2**(-S1)*relu(S2)/relu(S1))\n",
+      " 10%|▉         | 144/1500 [00:08<01:25, 15.78it/s]<lambdifygenerated-115225>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-relu(S2)**_a0_/relu(S1))\n",
+      "<lambdifygenerated-115226>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-relu(S2)**_a0_/relu(S1))\n",
+      "<lambdifygenerated-115242>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(sin(S2)))**_a0_\n",
+      "<lambdifygenerated-115243>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(sin(S2)))**_a0_\n",
+      "<lambdifygenerated-115244>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(sin(S2)))**_a0_\n",
+      "<lambdifygenerated-115257>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-relu(S2)/(S1*relu(S1)))\n",
+      "<lambdifygenerated-115258>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-relu(S2)/(S1*relu(S1)))\n",
+      "<lambdifygenerated-115273>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(S2 + _a0_)**_a0_\n",
+      "<lambdifygenerated-115274>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(S2 + _a0_)**_a0_\n",
+      "<lambdifygenerated-115275>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(S2 + _a0_)**_a0_\n",
+      "<lambdifygenerated-115286>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(exp(cos(S1 + exp(S1**S1/_a0_))))\n",
+      "<lambdifygenerated-115286>:2: RuntimeWarning: invalid value encountered in cos\n",
+      "  return relu(exp(cos(S1 + exp(S1**S1/_a0_))))\n",
+      " 10%|▉         | 146/1500 [00:09<01:27, 15.42it/s]<lambdifygenerated-115303>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(relu(S2)**3/(_a0_**3*relu(S1)**3))\n",
+      "<lambdifygenerated-115304>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(relu(S2)**3/(_a0_**3*relu(S1)**3))\n",
+      "<lambdifygenerated-115342>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-relu(S2)/(S1**2*relu(S1)))\n",
+      "<lambdifygenerated-115343>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-relu(S2)/(S1**2*relu(S1)))\n",
+      "<lambdifygenerated-115344>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-relu(S2)/(S1**2*relu(S1)))\n",
+      "<lambdifygenerated-115354>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(S1 + _a0_))**_a0_)\n",
+      "<lambdifygenerated-115355>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(S1 + _a0_))**_a0_)\n",
+      "<lambdifygenerated-115356>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(S1 + _a0_))**_a0_)\n",
+      " 10%|▉         | 148/1500 [00:09<01:37, 13.83it/s]<lambdifygenerated-115392>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(sin(S1)))**_a0_)\n",
+      "<lambdifygenerated-115393>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(sin(S1)))**_a0_)\n",
+      "<lambdifygenerated-115394>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(sin(S1)))**_a0_)\n",
+      " 10%|█         | 150/1500 [00:09<01:41, 13.26it/s]<lambdifygenerated-115468>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_**(-S2)*sqrt(sinh(S2*_a0_)))**_a0_\n",
+      "<lambdifygenerated-115468>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (_a0_**(-S2)*sqrt(sinh(S2*_a0_)))**_a0_\n",
+      "<lambdifygenerated-115471>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-relu(S2)/(S2*relu(S1)))\n",
+      "<lambdifygenerated-115528>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S2)\n",
+      "<lambdifygenerated-115529>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S2)\n",
+      "<lambdifygenerated-115530>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S2)\n",
+      "<lambdifygenerated-115532>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(_a0_/relu(S1**2))\n",
+      " 10%|█         | 152/1500 [00:09<01:39, 13.55it/s]<lambdifygenerated-115564>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(log(S2))\n",
+      "<lambdifygenerated-115565>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(log(S2))\n",
+      "<lambdifygenerated-115566>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(log(S2))\n",
+      "<lambdifygenerated-115569>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(tan(S1)/relu(S1))\n",
+      "<lambdifygenerated-115570>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(tan(S1)/relu(S1))\n",
+      "<lambdifygenerated-115571>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(tan(S1)/relu(S1))\n",
+      "<lambdifygenerated-115574>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return exp(_a0_/(S2 + _a0_))/S1\n",
+      "<lambdifygenerated-115583>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(_a0_*relu(S1)))\n",
+      "/Users/jholla10/Developer/autora/autora/theorist/bms/mcmc.py:1197: RuntimeWarning: overflow encountered in exp\n",
+      "  paccept = np.exp(-dEB / self.BT - dEP / self.PT)\n",
+      "<lambdifygenerated-115590>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(S2/_a0_))**_a0_)\n",
+      "<lambdifygenerated-115591>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(S2/_a0_))**_a0_)\n",
+      "<lambdifygenerated-115592>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(S2/_a0_))**_a0_)\n",
+      "<lambdifygenerated-115593>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return (2*_a0_)**_a0_\n",
+      "<lambdifygenerated-115594>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return (2*_a0_)**_a0_\n",
+      "<lambdifygenerated-115595>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return (2*_a0_)**_a0_\n",
+      "<lambdifygenerated-115599>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2*_a0_)**_a0_\n",
+      "<lambdifygenerated-115600>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2*_a0_)**_a0_\n",
+      "<lambdifygenerated-115601>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2*_a0_)**_a0_\n",
+      "<lambdifygenerated-115602>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(_a0_**_a0_)**_a0_\n",
+      "<lambdifygenerated-115603>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(_a0_**_a0_)**_a0_\n",
+      "<lambdifygenerated-115604>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(_a0_**_a0_)**_a0_\n",
+      " 10%|█         | 154/1500 [00:09<01:43, 13.03it/s]<lambdifygenerated-115625>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S1**(-_a0_)*relu(S2)/relu(S1))\n",
+      "<lambdifygenerated-115626>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S1**(-_a0_)*relu(S2)/relu(S1))\n",
+      "<lambdifygenerated-115627>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S1**(-_a0_)*relu(S2)/relu(S1))\n",
+      "<lambdifygenerated-115643>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return relu(sinh(S2**S2))**_a0_\n",
+      "<lambdifygenerated-115644>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return relu(sinh(S2**S2))**_a0_\n",
+      "<lambdifygenerated-115645>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return relu(sinh(S2**S2))**_a0_\n",
+      "<lambdifygenerated-115665>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return _a0_/sqrt(tan(_a0_))\n",
+      "<lambdifygenerated-115668>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(_a0_*(S2 + _a0_)))\n",
+      "<lambdifygenerated-115669>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(_a0_*(S2 + _a0_)))\n",
+      "<lambdifygenerated-115670>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(_a0_*(S2 + _a0_)))\n",
+      "<lambdifygenerated-115686>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(cos(S1))**_a0_\n",
+      " 10%|█         | 156/1500 [00:09<01:49, 12.27it/s]<lambdifygenerated-115705>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-1/relu(S1))\n",
+      "<lambdifygenerated-115706>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-1/relu(S1))\n",
+      "<lambdifygenerated-115707>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-1/relu(S1))\n",
+      "<lambdifygenerated-115754>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return S2*_a0_**((1/2)*S1)\n",
+      "<lambdifygenerated-115755>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return S2*_a0_**((1/2)*S1)\n",
+      "<lambdifygenerated-115760>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return sinh(S2**S2)**_a0_\n",
+      "<lambdifygenerated-115761>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return sinh(S2**S2)**_a0_\n",
+      "<lambdifygenerated-115762>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return sinh(S2**S2)**_a0_\n",
+      " 11%|█         | 158/1500 [00:10<01:45, 12.67it/s]<lambdifygenerated-115790>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(S2**2*relu(S1)))\n",
+      "<lambdifygenerated-115791>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(S2**2*relu(S1)))\n",
+      "<lambdifygenerated-115792>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(S2**2*relu(S1)))\n",
+      "<lambdifygenerated-115801>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(S1 + _a0_)**_a0_)\n",
+      "<lambdifygenerated-115802>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(S1 + _a0_)**_a0_)\n",
+      "<lambdifygenerated-115803>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(S1 + _a0_)**_a0_)\n",
+      "<lambdifygenerated-115807>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(tanh(_a0_))**_a0_\n",
+      "<lambdifygenerated-115808>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(tanh(_a0_))**_a0_\n",
+      "<lambdifygenerated-115809>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(tanh(_a0_))**_a0_\n",
+      "<lambdifygenerated-115821>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(exp(exp(S1 + exp(S2/_a0_))))\n",
+      "<lambdifygenerated-115843>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return sinh(S1)**(S2**S2)\n",
+      "<lambdifygenerated-115844>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return sinh(S1)**(S2**S2)\n",
+      "<lambdifygenerated-115845>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return sinh(S1)**(S2**S2)\n",
+      " 11%|█         | 160/1500 [00:10<01:40, 13.33it/s]<lambdifygenerated-115874>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return S2*(S2/_a0_)**S1\n",
+      "<lambdifygenerated-115875>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return S2*(S2/_a0_)**S1\n",
+      "<lambdifygenerated-115876>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return S2*(S2/_a0_)**S1\n",
+      "<lambdifygenerated-115886>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(_a0_)**_a0_\n",
+      "<lambdifygenerated-115887>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(_a0_)**_a0_\n",
+      "<lambdifygenerated-115899>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return exp(_a0_/(S1 + _a0_))/S1\n",
+      "<lambdifygenerated-115931>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sig(sqrt(_a0_))/S1\n",
+      "<lambdifygenerated-115932>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sig(sqrt(_a0_))/S1\n",
+      " 11%|█         | 162/1500 [00:10<01:38, 13.56it/s]<lambdifygenerated-115966>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(S2*_a0_))**_a0_)\n",
+      "<lambdifygenerated-115967>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(S2*_a0_))**_a0_)\n",
+      "<lambdifygenerated-115968>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(S2*_a0_))**_a0_)\n",
+      "<lambdifygenerated-115972>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sin(_a0_)**_a0_\n",
+      "<lambdifygenerated-115973>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sin(_a0_)**_a0_\n",
+      "<lambdifygenerated-115977>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sin(S1))**_a0_\n",
+      "<lambdifygenerated-115978>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sin(S1))**_a0_\n",
+      "<lambdifygenerated-115987>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(exp(cos(S1 + exp(1/sqrt(_a0_)))))\n",
+      "<lambdifygenerated-115988>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(exp(cos(S1 + exp(1/sqrt(_a0_)))))\n",
+      "<lambdifygenerated-115989>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(exp(cos(S1 + exp(1/sqrt(_a0_)))))\n",
+      "<lambdifygenerated-116000>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-1/relu(S1))\n",
+      "<lambdifygenerated-116001>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-1/relu(S1))\n",
+      " 11%|█         | 164/1500 [00:10<01:35, 14.01it/s]<lambdifygenerated-116036>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu(relu(_a0_**_a0_))**_a0_)\n",
+      "<lambdifygenerated-116037>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu(relu(_a0_**_a0_))**_a0_)\n",
+      "<lambdifygenerated-116038>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu(relu(_a0_**_a0_))**_a0_)\n",
+      "<lambdifygenerated-116067>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-1/_a0_)\n",
+      "<lambdifygenerated-116084>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(tan(_a0_)**_a0_)\n",
+      "<lambdifygenerated-116085>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(tan(_a0_)**_a0_)\n",
+      "<lambdifygenerated-116086>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(tan(_a0_)**_a0_)\n",
+      "<lambdifygenerated-116105>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return _a0_/sqrt(sin(S1))\n",
+      "<lambdifygenerated-116106>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return _a0_/sqrt(sin(S1))\n",
+      "<lambdifygenerated-116107>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return _a0_/sqrt(sin(S1))\n",
+      " 11%|█         | 166/1500 [00:10<01:39, 13.38it/s]<lambdifygenerated-116124>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S1 + _a0_)**_a0_\n",
+      "<lambdifygenerated-116125>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S1 + _a0_)**_a0_\n",
+      "<lambdifygenerated-116145>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-(S1 + _a0_)/(_a0_*relu(S1)))\n",
+      "<lambdifygenerated-116146>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-(S1 + _a0_)/(_a0_*relu(S1)))\n",
+      "<lambdifygenerated-116147>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-(S1 + _a0_)/(_a0_*relu(S1)))\n",
+      " 11%|█         | 168/1500 [00:10<01:36, 13.78it/s]<lambdifygenerated-116200>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return sinh(S1**2)**exp(S2)\n",
+      "<lambdifygenerated-116201>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return sinh(S1**2)**exp(S2)\n",
+      "<lambdifygenerated-116202>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return sinh(S1**2)**exp(S2)\n",
+      "<lambdifygenerated-116208>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(_a0_/S2))**_a0_\n",
+      "<lambdifygenerated-116209>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(_a0_/S2))**_a0_\n",
+      "<lambdifygenerated-116210>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(_a0_/S2))**_a0_\n",
+      "<lambdifygenerated-116217>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return _a0_**(-S2)*(S1 + _a0_)/S1\n",
+      "<lambdifygenerated-116218>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return _a0_**(-S2)*(S1 + _a0_)/S1\n",
+      "<lambdifygenerated-116219>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return _a0_**(-S2)*(S1 + _a0_)/S1\n",
+      "<lambdifygenerated-116233>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return tan(S1**2)**_a0_\n",
+      "<lambdifygenerated-116234>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return tan(S1**2)**_a0_\n",
+      "<lambdifygenerated-116255>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return (_a0_ + _a0_**_a0_)/S1**2\n",
+      "<lambdifygenerated-116256>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return (_a0_ + _a0_**_a0_)/S1**2\n",
+      "<lambdifygenerated-116257>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return (_a0_ + _a0_**_a0_)/S1**2\n",
+      " 11%|█▏        | 170/1500 [00:10<01:32, 14.42it/s]<lambdifygenerated-116271>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(_a0_))**_a0_)\n",
+      "<lambdifygenerated-116272>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(_a0_))**_a0_)\n",
+      "<lambdifygenerated-116295>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return exp(_a0_**S1)/S1\n",
+      "<lambdifygenerated-116296>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return exp(_a0_**S1)/S1\n",
+      " 11%|█▏        | 172/1500 [00:11<01:27, 15.13it/s]<lambdifygenerated-116338>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(_a0_*log(S1)))\n",
+      "<lambdifygenerated-116339>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(_a0_*log(S1)))\n",
+      "<lambdifygenerated-116352>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sig(_a0_)/log(_a0_)\n",
+      "<lambdifygenerated-116353>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sig(_a0_)/log(_a0_)\n",
+      "<lambdifygenerated-116354>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sig(_a0_)/log(_a0_)\n",
+      "<lambdifygenerated-116360>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(-sinh(S1))**_a0_\n",
+      "<lambdifygenerated-116361>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(-sinh(S1))**_a0_\n",
+      "<lambdifygenerated-116362>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(-sinh(S1))**_a0_\n",
+      "<lambdifygenerated-116380>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(S2*_a0_))\n",
+      "<lambdifygenerated-116383>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (sqrt(sinh(_a0_*tan(S2)))/S1)**sig(S1)\n",
+      "<lambdifygenerated-116384>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (sqrt(sinh(_a0_*tan(S2)))/S1)**sig(S1)\n",
+      "<lambdifygenerated-116385>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (sqrt(sinh(_a0_*tan(S2)))/S1)**sig(S1)\n",
+      " 12%|█▏        | 174/1500 [00:11<01:27, 15.10it/s]<lambdifygenerated-116416>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return S2*(2*_a0_)**S1\n",
+      "<lambdifygenerated-116417>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return S2*(2*_a0_)**S1\n",
+      "<lambdifygenerated-116418>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return S2*(2*_a0_)**S1\n",
+      " 12%|█▏        | 176/1500 [00:11<01:27, 15.21it/s]<lambdifygenerated-116495>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-116496>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-116497>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-116505>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return exp(sinh(S1**2))**_a0_\n",
+      "<lambdifygenerated-116506>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return exp(sinh(S1**2))**_a0_\n",
+      "<lambdifygenerated-116545>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(sin(S2)))**_a0_\n",
+      "<lambdifygenerated-116546>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(sin(S2)))**_a0_\n",
+      " 12%|█▏        | 178/1500 [00:11<01:27, 15.18it/s]<lambdifygenerated-116558>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)*exp(-S1)/_a0_)\n",
+      "<lambdifygenerated-116565>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(S2*_a0_))**_a0_)\n",
+      "<lambdifygenerated-116566>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(S2*_a0_))**_a0_)\n",
+      "<lambdifygenerated-116590>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(_a0_*relu(S1*S2)))\n",
+      " 12%|█▏        | 180/1500 [00:11<01:24, 15.69it/s]<lambdifygenerated-116629>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(log(relu(S1))**_a0_)\n",
+      "<lambdifygenerated-116630>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(log(relu(S1))**_a0_)\n",
+      "<lambdifygenerated-116634>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2/_a0_)**_a0_\n",
+      "<lambdifygenerated-116635>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2/_a0_)**_a0_\n",
+      "<lambdifygenerated-116636>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(_a0_)/S1\n",
+      "<lambdifygenerated-116637>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(_a0_)/S1\n",
+      "<lambdifygenerated-116638>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log((S2 + _a0_)/S1)\n",
+      "<lambdifygenerated-116647>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(S1*_a0_))**_a0_\n",
+      "<lambdifygenerated-116648>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(S1*_a0_))**_a0_\n",
+      "<lambdifygenerated-116663>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/S2)\n",
+      "<lambdifygenerated-116664>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/S2)\n",
+      "<lambdifygenerated-116665>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/S2)\n",
+      "<lambdifygenerated-116669>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return (S1 + S2)*sig(2*_a0_)**(S1*_a0_)\n",
+      "<lambdifygenerated-116674>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(relu(relu(S1))**log(_a0_))\n",
+      "<lambdifygenerated-116675>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(relu(relu(S1))**log(_a0_))\n",
+      "<lambdifygenerated-116676>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(relu(relu(S1))**log(_a0_))\n",
+      " 12%|█▏        | 182/1500 [00:11<01:27, 14.99it/s]<lambdifygenerated-116702>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-log(S2)/(_a0_*relu(S1)))\n",
+      "<lambdifygenerated-116703>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-log(S2)/(_a0_*relu(S1)))\n",
+      "<lambdifygenerated-116711>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(_a0_))**_a0_)\n",
+      "<lambdifygenerated-116715>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return _a0_**((1/2)*_a0_)\n",
+      "<lambdifygenerated-116716>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return _a0_**((1/2)*_a0_)\n",
+      " 12%|█▏        | 184/1500 [00:11<01:30, 14.61it/s]<lambdifygenerated-116786>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/relu(relu(S1)))\n",
+      "<lambdifygenerated-116787>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/relu(relu(S1)))\n",
+      "<lambdifygenerated-116788>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/relu(relu(S1)))\n",
+      "<lambdifygenerated-116800>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu(_a0_**_a0_)**_a0_)\n",
+      "<lambdifygenerated-116801>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu(_a0_**_a0_)**_a0_)\n",
+      "<lambdifygenerated-116802>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu(_a0_**_a0_)**_a0_)\n",
+      "<lambdifygenerated-116828>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S1 + _a0_)**(S1**2)\n",
+      "<lambdifygenerated-116830>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log(-relu(S2)/(_a0_*relu(log(S1))))\n",
+      "<lambdifygenerated-116831>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log(-relu(S2)/(_a0_*relu(log(S1))))\n",
+      "<lambdifygenerated-116855>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu((_a0_/S2)**_a0_)\n",
+      "<lambdifygenerated-116856>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu((_a0_/S2)**_a0_)\n",
+      "<lambdifygenerated-116857>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu((_a0_/S2)**_a0_)\n",
+      "<lambdifygenerated-116866>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (S1 + sqrt(_a0_))/S1\n",
+      " 12%|█▏        | 186/1500 [00:11<01:35, 13.75it/s]<lambdifygenerated-116873>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log(-relu(S2)/(_a0_*relu(relu(_a0_))))\n",
+      "<lambdifygenerated-116874>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log(-relu(S2)/(_a0_*relu(relu(_a0_))))\n",
+      "<lambdifygenerated-116886>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-116887>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-116894>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(sinh(_a0_))**_a0_)\n",
+      "<lambdifygenerated-116895>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(sinh(_a0_))**_a0_)\n",
+      "<lambdifygenerated-116896>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(sinh(_a0_))**_a0_)\n",
+      "<lambdifygenerated-116910>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (S2 + sqrt(_a0_) + _a0_)/S1\n",
+      "<lambdifygenerated-116913>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return _a0_**(-S2)*(S1 + _a0_)/S1\n",
+      "<lambdifygenerated-116914>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return _a0_**(-S2)*(S1 + _a0_)/S1\n",
+      "<lambdifygenerated-116915>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(_a0_**2*relu(relu(S1))))\n",
+      "<lambdifygenerated-116916>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(_a0_**2*relu(relu(S1))))\n",
+      "<lambdifygenerated-116917>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(_a0_**2*relu(relu(S1))))\n",
+      "<lambdifygenerated-116918>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (tanh(sinh(_a0_*abs(S2)))/S1)**sig(S2**2)\n",
+      "<lambdifygenerated-116940>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return tan(sinh(S1))**_a0_\n",
+      "<lambdifygenerated-116941>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return tan(sinh(S1))**_a0_\n",
+      "<lambdifygenerated-116942>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(_a0_/log(S1))\n",
+      "<lambdifygenerated-116943>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(_a0_/log(S1))\n",
+      " 13%|█▎        | 188/1500 [00:12<01:34, 13.84it/s]<lambdifygenerated-116964>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(S2*sin(_a0_)**S1)\n",
+      "<lambdifygenerated-116965>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(S2*sin(_a0_)**S1)\n",
+      "<lambdifygenerated-116966>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(_a0_)**_a0_))\n",
+      "<lambdifygenerated-116967>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(_a0_)**_a0_))\n",
+      "<lambdifygenerated-116968>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(_a0_)**_a0_))\n",
+      "<lambdifygenerated-116969>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-116970>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-116978>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(sinh(S1))**(S1**S2)\n",
+      "<lambdifygenerated-116979>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(sinh(S1))**(S1**S2)\n",
+      "<lambdifygenerated-116980>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(sinh(S1))**(S1**S2)\n",
+      "<lambdifygenerated-116995>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S1**(-S2)*relu(S2)/relu(relu(S1)))\n",
+      "<lambdifygenerated-116996>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S1**(-S2)*relu(S2)/relu(relu(S1)))\n",
+      "<lambdifygenerated-116997>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S1**(-S2)*relu(S2)/relu(relu(S1)))\n",
+      "<lambdifygenerated-117005>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(_a0_/S1)**_a0_))\n",
+      "<lambdifygenerated-117006>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(_a0_/S1)**_a0_))\n",
+      "<lambdifygenerated-117007>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(_a0_/S1)**_a0_))\n",
+      "<lambdifygenerated-117008>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return sinh(S1**2)**(S1**3)\n",
+      "<lambdifygenerated-117009>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return sinh(S1**2)**(S1**3)\n",
+      "<lambdifygenerated-117010>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return sinh(S1**2)**(S1**3)\n",
+      "<lambdifygenerated-117024>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(exp(cos(S1 + sqrt(S2*_a0_))))\n",
+      "<lambdifygenerated-117025>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(exp(cos(S1 + sqrt(S2*_a0_))))\n",
+      "<lambdifygenerated-117029>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (S1 + sqrt(_a0_))/S2\n",
+      " 13%|█▎        | 190/1500 [00:12<01:34, 13.90it/s]<lambdifygenerated-117034>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(_a0_*relu(S2**_a0_)))\n",
+      "<lambdifygenerated-117054>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(sinh(_a0_))**_a0_\n",
+      "<lambdifygenerated-117055>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(sinh(_a0_))**_a0_\n",
+      " 13%|█▎        | 192/1500 [00:12<01:32, 14.20it/s]<lambdifygenerated-117127>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(_a0_)**_a0_)\n",
+      "<lambdifygenerated-117128>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(_a0_)**_a0_)\n",
+      "<lambdifygenerated-117158>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-117159>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-117162>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return S1**_a0_/fac(_a0_)\n",
+      "<lambdifygenerated-117166>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(cos(S2))\n",
+      "<lambdifygenerated-117167>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(cos(S2))\n",
+      "<lambdifygenerated-117177>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(exp(tan(S1 + exp(S2*_a0_))))\n",
+      " 13%|█▎        | 194/1500 [00:12<01:30, 14.50it/s]<lambdifygenerated-117209>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(_a0_**_a0_)\n",
+      "<lambdifygenerated-117210>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(_a0_**_a0_)\n",
+      "<lambdifygenerated-117223>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return exp(cosh(S2)/S1)/S1\n",
+      "<lambdifygenerated-117224>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return exp(cosh(S2)/S1)/S1\n",
+      "<lambdifygenerated-117225>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return exp(cosh(S2)/S1)/S1\n",
+      "<lambdifygenerated-117234>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log(-relu(S2)/(_a0_*relu(_a0_)))\n",
+      "<lambdifygenerated-117235>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log(-relu(S2)/(_a0_*relu(_a0_)))\n",
+      "<lambdifygenerated-117236>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log(-relu(S2)/(_a0_*relu(_a0_)))\n",
+      "<lambdifygenerated-117239>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(S2*(S1*_a0_)**S1)\n",
+      "<lambdifygenerated-117240>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(S2*(S1*_a0_)**S1)\n",
+      "<lambdifygenerated-117241>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(S2*(S1*_a0_)**S1)\n",
+      "<lambdifygenerated-117247>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-117248>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-117254>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(_a0_**_a0_)\n",
+      "<lambdifygenerated-117255>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(_a0_**_a0_)\n",
+      "<lambdifygenerated-117256>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sin(S1))**_a0_\n",
+      "<lambdifygenerated-117266>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return _a0_**(-_a0_)*(S1 + sqrt(_a0_))\n",
+      "<lambdifygenerated-117266>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return _a0_**(-_a0_)*(S1 + sqrt(_a0_))\n",
+      " 13%|█▎        | 196/1500 [00:12<01:30, 14.39it/s]<lambdifygenerated-117271>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(S2**2*relu(relu(S1))))\n",
+      "<lambdifygenerated-117272>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(S2**2*relu(relu(S1))))\n",
+      "<lambdifygenerated-117273>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(S2**2*relu(relu(S1))))\n",
+      "<lambdifygenerated-117282>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(_a0_**S2)**_a0_\n",
+      "<lambdifygenerated-117283>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(_a0_**S2)**_a0_\n",
+      "<lambdifygenerated-117284>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(_a0_**S2)**_a0_\n",
+      "<lambdifygenerated-117297>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(S2*_a0_)/sqrt(S1*_a0_)\n",
+      "<lambdifygenerated-117311>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(sin(relu(S2)/(_a0_*relu(relu(S1)))))\n",
+      "<lambdifygenerated-117312>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(sin(relu(S2)/(_a0_*relu(relu(S1)))))\n",
+      " 13%|█▎        | 198/1500 [00:12<01:31, 14.17it/s]<lambdifygenerated-117359>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-relu(S2 + _a0_)/(_a0_*relu(relu(S1))))\n",
+      "<lambdifygenerated-117360>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-relu(S2 + _a0_)/(_a0_*relu(relu(S1))))\n",
+      "<lambdifygenerated-117361>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-relu(S2 + _a0_)/(_a0_*relu(relu(S1))))\n",
+      "<lambdifygenerated-117369>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(relu(_a0_))**_a0_))\n",
+      "<lambdifygenerated-117370>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(relu(_a0_))**_a0_))\n",
+      "<lambdifygenerated-117391>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S1 + _a0_)**(S1**(3/2))\n",
+      "<lambdifygenerated-117408>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return tan(S1**2)**_a0_\n",
+      "<lambdifygenerated-117424>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(_a0_/log(S1))\n",
+      "<lambdifygenerated-117433>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return S1 + sqrt(_a0_)\n",
+      " 13%|█▎        | 200/1500 [00:12<01:31, 14.18it/s]<lambdifygenerated-117474>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-relu(_a0_)/(_a0_*relu(relu(S1))))\n",
+      "<lambdifygenerated-117475>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-relu(_a0_)/(_a0_*relu(relu(S1))))\n",
+      "<lambdifygenerated-117488>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return S1**(S2**S2)\n",
+      "<lambdifygenerated-117489>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return S1**(S2**S2)\n",
+      "<lambdifygenerated-117496>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu((2*_a0_)**_a0_)\n",
+      "<lambdifygenerated-117497>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu((2*_a0_)**_a0_)\n",
+      "<lambdifygenerated-117498>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu((2*_a0_)**_a0_)\n",
+      "<lambdifygenerated-117515>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (S2 + sqrt(_a0_))/S1\n",
+      " 13%|█▎        | 202/1500 [00:13<01:30, 14.29it/s]<lambdifygenerated-117517>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-1/2*relu(S2)/(S2*relu(relu(S1))))\n",
+      "<lambdifygenerated-117518>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-1/2*relu(S2)/(S2*relu(relu(S1))))\n",
+      "<lambdifygenerated-117519>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-1/2*relu(S2)/(S2*relu(relu(S1))))\n",
+      "<lambdifygenerated-117523>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(S2*_a0_**S1)\n",
+      "<lambdifygenerated-117524>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(S2*_a0_**S1)\n",
+      "<lambdifygenerated-117525>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(S2*_a0_**S1)\n",
+      "<lambdifygenerated-117540>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(sin(S1))**_a0_)\n",
+      "<lambdifygenerated-117541>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(sin(S1))**_a0_)\n",
+      "<lambdifygenerated-117542>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(sin(S1))**_a0_)\n",
+      "<lambdifygenerated-117543>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(S2*_a0_)/sqrt(_a0_)\n",
+      "<lambdifygenerated-117574>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(S2*_a0_)/sqrt(S1*sin(S2))\n",
+      "<lambdifygenerated-117575>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(S2*_a0_)/sqrt(S1*sin(S2))\n",
+      "<lambdifygenerated-117576>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(S2*_a0_)/sqrt(S1*sin(S2))\n",
+      " 14%|█▎        | 204/1500 [00:13<01:26, 14.90it/s]<lambdifygenerated-117590>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-relu(S1*_a0_)/(_a0_*relu(relu(S1))))\n",
+      "<lambdifygenerated-117591>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-relu(S1*_a0_)/(_a0_*relu(relu(S1))))\n",
+      "<lambdifygenerated-117592>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-relu(S1*_a0_)/(_a0_*relu(relu(S1))))\n",
+      "<lambdifygenerated-117610>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(cos(_a0_)/S1)\n",
+      "<lambdifygenerated-117653>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(S1 + _a0_)**_a0_\n",
+      "<lambdifygenerated-117654>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(S1 + _a0_)**_a0_\n",
+      "<lambdifygenerated-117655>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(S1 + _a0_)**_a0_\n",
+      "<lambdifygenerated-117657>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(S2*_a0_)/sqrt(S1*_a0_/S2)\n",
+      " 14%|█▎        | 206/1500 [00:13<01:28, 14.63it/s]<lambdifygenerated-117681>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(S2)*sig(S1 + _a0_)**(S1*_a0_)\n",
+      "<lambdifygenerated-117688>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(_a0_/S2)**_a0_))\n",
+      "<lambdifygenerated-117689>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(_a0_/S2)**_a0_))\n",
+      "<lambdifygenerated-117690>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(_a0_/S2)**_a0_))\n",
+      "<lambdifygenerated-117715>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log(-relu(S2)/(_a0_*relu(relu(S1 + _a0_))))\n",
+      "<lambdifygenerated-117716>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log(-relu(S2)/(_a0_*relu(relu(S1 + _a0_))))\n",
+      "<lambdifygenerated-117717>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log(-relu(S2)/(_a0_*relu(relu(S1 + _a0_))))\n",
+      "<lambdifygenerated-117726>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(relu(_a0_))**_a0_))\n",
+      "<lambdifygenerated-117751>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(_a0_)/S1**(3/2)\n",
+      "<lambdifygenerated-117752>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(_a0_)/S1**(3/2)\n",
+      "<lambdifygenerated-117753>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(_a0_)/S1**(3/2)\n",
+      " 14%|█▍        | 208/1500 [00:13<01:28, 14.62it/s]<lambdifygenerated-117757>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-relu(S2 + _a0_)/(_a0_*relu(relu(S1))))\n",
+      "<lambdifygenerated-117758>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-relu(S2 + _a0_)/(_a0_*relu(relu(S1))))\n",
+      "<lambdifygenerated-117802>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(S1*relu(relu(S1))))\n",
+      "<lambdifygenerated-117803>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(S1*relu(relu(S1))))\n",
+      "<lambdifygenerated-117823>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(tan(S1))**_a0_))\n",
+      "<lambdifygenerated-117824>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(tan(S1))**_a0_))\n",
+      " 14%|█▍        | 210/1500 [00:13<01:26, 14.87it/s]<lambdifygenerated-117840>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(-(relu(S2)/_a0_)**relu(relu(S1)))\n",
+      "<lambdifygenerated-117841>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(-(relu(S2)/_a0_)**relu(relu(S1)))\n",
+      "<lambdifygenerated-117873>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(exp(cos(_a0_**_a0_ + exp(S2*_a0_))))\n",
+      "<lambdifygenerated-117874>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(exp(cos(_a0_**_a0_ + exp(S2*_a0_))))\n",
+      "<lambdifygenerated-117875>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(exp(cos(_a0_**_a0_ + exp(S2*_a0_))))\n",
+      "<lambdifygenerated-117881>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(sin(relu(S2)/(_a0_*relu(relu(S1)))))\n",
+      "<lambdifygenerated-117901>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(sinh(S1))**_a0_\n",
+      "<lambdifygenerated-117902>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(sinh(S1))**_a0_\n",
+      "<lambdifygenerated-117903>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu((_a0_**S2)**_a0_)\n",
+      "<lambdifygenerated-117904>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu((_a0_**S2)**_a0_)\n",
+      "<lambdifygenerated-117905>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu((_a0_**S2)**_a0_)\n",
+      " 14%|█▍        | 212/1500 [00:13<01:26, 14.91it/s]<lambdifygenerated-117919>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(S1*relu(relu(S1))))\n",
+      "<lambdifygenerated-117923>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(S2*(cos(_a0_)**3)**S1)\n",
+      "<lambdifygenerated-117924>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(S2*(cos(_a0_)**3)**S1)\n",
+      "<lambdifygenerated-117962>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return sinh(exp(2*S2))**_a0_\n",
+      "<lambdifygenerated-117963>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return sinh(exp(2*S2))**_a0_\n",
+      "<lambdifygenerated-117964>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return sinh(exp(2*S2))**_a0_\n",
+      " 14%|█▍        | 214/1500 [00:13<01:24, 15.17it/s]<lambdifygenerated-117997>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(S2)*sig(S1*_a0_)**(S1*_a0_)\n",
+      "<lambdifygenerated-118032>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return _a0_**2/sqrt(-_a0_)\n",
+      "<lambdifygenerated-118033>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return _a0_**2/sqrt(-_a0_)\n",
+      "<lambdifygenerated-118034>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return _a0_**2/sqrt(-_a0_)\n",
+      "<lambdifygenerated-118049>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(cos(S1))**_a0_\n",
+      "<lambdifygenerated-118050>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(cos(S1))**_a0_\n",
+      "<lambdifygenerated-118054>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(tan(S1))\n",
+      "<lambdifygenerated-118055>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(tan(S1))\n",
+      "<lambdifygenerated-118056>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(tan(S1))\n",
+      "<lambdifygenerated-118064>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return exp(S2/(S1*_a0_))/S1\n",
+      "<lambdifygenerated-118065>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return exp(S2/(S1*_a0_))/S1\n",
+      "<lambdifygenerated-118066>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return exp(S2/(S1*_a0_))/S1\n",
+      " 14%|█▍        | 216/1500 [00:14<01:28, 14.46it/s]<lambdifygenerated-118086>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(S2*sinh(cos(2*_a0_))**S1)\n",
+      "<lambdifygenerated-118087>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(S2*sinh(cos(2*_a0_))**S1)\n",
+      "<lambdifygenerated-118103>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(_a0_)**_a0_)\n",
+      "<lambdifygenerated-118121>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/((S1 + _a0_)*relu(relu(S1))))\n",
+      "<lambdifygenerated-118122>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/((S1 + _a0_)*relu(relu(S1))))\n",
+      "<lambdifygenerated-118123>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/((S1 + _a0_)*relu(relu(S1))))\n",
+      "<lambdifygenerated-118137>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return sinh(S1**2)**(S1**S2)\n",
+      "<lambdifygenerated-118138>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return sinh(S1**2)**(S1**S2)\n",
+      "<lambdifygenerated-118139>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return sinh(S1**2)**(S1**S2)\n",
+      "<lambdifygenerated-118144>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(_a0_)**_a0_\n",
+      "<lambdifygenerated-118145>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(_a0_)**_a0_\n",
+      " 15%|█▍        | 218/1500 [00:14<01:32, 13.88it/s]<lambdifygenerated-118173>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return _a0_**((1/2)*_a0_)\n",
+      "<lambdifygenerated-118174>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return _a0_**((1/2)*_a0_)\n",
+      "<lambdifygenerated-118179>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(S1 + _a0_)**_a0_))\n",
+      "<lambdifygenerated-118180>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(S1 + _a0_)**_a0_))\n",
+      "<lambdifygenerated-118181>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(S1 + _a0_)**_a0_))\n",
+      "<lambdifygenerated-118211>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(S2*sig(sqrt(_a0_))**S1)\n",
+      "<lambdifygenerated-118212>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(S2*sig(sqrt(_a0_))**S1)\n",
+      "<lambdifygenerated-118213>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-118214>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-118219>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(relu(_a0_**S2)**_a0_))\n",
+      "<lambdifygenerated-118219>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(_a0_**S2)**_a0_))\n",
+      "<lambdifygenerated-118220>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(relu(_a0_**S2)**_a0_))\n",
+      "<lambdifygenerated-118220>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(_a0_**S2)**_a0_))\n",
+      "<lambdifygenerated-118221>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(relu(_a0_**S2)**_a0_))\n",
+      "<lambdifygenerated-118221>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(_a0_**S2)**_a0_))\n",
+      " 15%|█▍        | 220/1500 [00:14<02:08,  9.97it/s]<lambdifygenerated-118260>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(log(S1))**_a0_\n",
+      "<lambdifygenerated-118271>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(exp(cos(S1 + exp(_a0_**(3/2)))))\n",
+      "<lambdifygenerated-118272>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(exp(cos(S1 + exp(_a0_**(3/2)))))\n",
+      "<lambdifygenerated-118273>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(exp(cos(S1 + exp(_a0_**(3/2)))))\n",
+      "<lambdifygenerated-118302>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return exp(sqrt(_a0_)/S1)/S1\n",
+      " 15%|█▍        | 222/1500 [00:14<01:54, 11.13it/s]<lambdifygenerated-118385>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(tan(S1)/S1)\n",
+      "<lambdifygenerated-118386>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(tan(S1)/S1)\n",
+      " 15%|█▍        | 224/1500 [00:14<01:50, 11.55it/s]<lambdifygenerated-118387>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log(-relu(S2)/(_a0_*relu(relu(_a0_))))\n",
+      "<lambdifygenerated-118434>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(tan(S1))\n",
+      "<lambdifygenerated-118435>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(tan(S1))\n",
+      "<lambdifygenerated-118455>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(exp(cos(S1 + exp(S2*_a0_**S1))))\n",
+      "<lambdifygenerated-118456>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(exp(cos(S1 + exp(S2*_a0_**S1))))\n",
+      "<lambdifygenerated-118457>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(exp(cos(S1 + exp(S2*_a0_**S1))))\n",
+      " 15%|█▌        | 226/1500 [00:14<01:43, 12.34it/s]<lambdifygenerated-118464>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(-relu(S2)/(_a0_*relu(relu(_a0_**S1))))\n",
+      "<lambdifygenerated-118464>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log(-relu(S2)/(_a0_*relu(relu(_a0_**S1))))\n",
+      "<lambdifygenerated-118465>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(-relu(S2)/(_a0_*relu(relu(_a0_**S1))))\n",
+      "<lambdifygenerated-118465>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log(-relu(S2)/(_a0_*relu(relu(_a0_**S1))))\n",
+      "<lambdifygenerated-118466>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(-relu(S2)/(_a0_*relu(relu(_a0_**S1))))\n",
+      "<lambdifygenerated-118466>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log(-relu(S2)/(_a0_*relu(relu(_a0_**S1))))\n",
+      "<lambdifygenerated-118481>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(relu(log(S1)))**_a0_))\n",
+      "<lambdifygenerated-118482>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(relu(log(S1)))**_a0_))\n",
+      "<lambdifygenerated-118483>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(relu(log(S1)))**_a0_))\n",
+      "<lambdifygenerated-118492>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(cos(S2)/S1)\n",
+      "<lambdifygenerated-118493>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(cos(S2)/S1)\n",
+      "<lambdifygenerated-118494>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(cos(S2)/S1)\n",
+      "<lambdifygenerated-118535>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(S2/_a0_)/sqrt(tan(S2))\n",
+      "<lambdifygenerated-118536>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(S2/_a0_)/sqrt(tan(S2))\n",
+      "<lambdifygenerated-118537>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(S2/_a0_)/sqrt(tan(S2))\n",
+      "<lambdifygenerated-118538>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(_a0_**_a0_)\n",
+      "<lambdifygenerated-118539>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(_a0_**_a0_)\n",
+      " 15%|█▌        | 228/1500 [00:15<01:37, 13.01it/s]<lambdifygenerated-118564>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(_a0_)**_a0_))\n",
+      "<lambdifygenerated-118565>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(_a0_)**_a0_))\n",
+      "<lambdifygenerated-118588>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(_a0_/S2)**_a0_\n",
+      "<lambdifygenerated-118589>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(_a0_/S2)**_a0_\n",
+      "<lambdifygenerated-118590>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(_a0_/S2)**_a0_\n",
+      "<lambdifygenerated-118591>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(tan(S1))\n",
+      "<lambdifygenerated-118592>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(tan(S1))\n",
+      "<lambdifygenerated-118609>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (S1 + _a0_)/(S1*sqrt(sin(_a0_)))\n",
+      "<lambdifygenerated-118610>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (S1 + _a0_)/(S1*sqrt(sin(_a0_)))\n",
+      "<lambdifygenerated-118611>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (S1 + _a0_)/(S1*sqrt(sin(_a0_)))\n",
+      " 15%|█▌        | 230/1500 [00:15<01:30, 14.06it/s]<lambdifygenerated-118636>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return tanh(_a0_)**_a0_\n",
+      "<lambdifygenerated-118637>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return tanh(_a0_)**_a0_\n",
+      "<lambdifygenerated-118638>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return tanh(_a0_)**_a0_\n",
+      "<lambdifygenerated-118644>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(tan(S1))**_a0_\n",
+      "<lambdifygenerated-118645>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(tan(S1))**_a0_\n",
+      "<lambdifygenerated-118676>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(_a0_)**_a0_))\n",
+      "<lambdifygenerated-118677>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(_a0_)**_a0_))\n",
+      " 15%|█▌        | 232/1500 [00:15<01:25, 14.76it/s]<lambdifygenerated-118694>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return log(-relu(S2)/(sqrt(_a0_)*relu(S1)))\n",
+      "<lambdifygenerated-118695>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return log(-relu(S2)/(sqrt(_a0_)*relu(S1)))\n",
+      "<lambdifygenerated-118696>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return log(-relu(S2)/(sqrt(_a0_)*relu(S1)))\n",
+      "<lambdifygenerated-118729>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(_a0_)/S1**(3/2)\n",
+      "<lambdifygenerated-118730>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(_a0_)/S1**(3/2)\n",
+      "<lambdifygenerated-118735>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(-relu(S2)/(_a0_*relu(_a0_**S1)))\n",
+      "<lambdifygenerated-118735>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log(-relu(S2)/(_a0_*relu(_a0_**S1)))\n",
+      "<lambdifygenerated-118736>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(-relu(S2)/(_a0_*relu(_a0_**S1)))\n",
+      "<lambdifygenerated-118736>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log(-relu(S2)/(_a0_*relu(_a0_**S1)))\n",
+      "<lambdifygenerated-118737>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(-relu(S2)/(_a0_*relu(_a0_**S1)))\n",
+      "<lambdifygenerated-118737>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log(-relu(S2)/(_a0_*relu(_a0_**S1)))\n",
+      "<lambdifygenerated-118762>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(S2*_a0_)**_a0_)\n",
+      "<lambdifygenerated-118763>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(S2*_a0_)**_a0_)\n",
+      "<lambdifygenerated-118764>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(S2*_a0_)**_a0_)\n",
+      " 16%|█▌        | 234/1500 [00:15<01:22, 15.28it/s]<lambdifygenerated-118777>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (log(sinh(_a0_*abs(S2)))/S1)**sig(S1)\n",
+      "<lambdifygenerated-118778>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (log(sinh(_a0_*abs(S2)))/S1)**sig(S1)\n",
+      "<lambdifygenerated-118838>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-_a0_/S1)/S1\n",
+      "<lambdifygenerated-118839>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-_a0_/S1)/S1\n",
+      " 16%|█▌        | 236/1500 [00:15<01:21, 15.52it/s]<lambdifygenerated-118856>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-2/relu(S1))\n",
+      "<lambdifygenerated-118857>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-2/relu(S1))\n",
+      "<lambdifygenerated-118858>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-2/relu(S1))\n",
+      "<lambdifygenerated-118909>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(_a0_)**_a0_\n",
+      "<lambdifygenerated-118910>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(_a0_)**_a0_\n",
+      "<lambdifygenerated-118911>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return S1**(S1**S2)\n",
+      "<lambdifygenerated-118912>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return S1**(S1**S2)\n",
+      "<lambdifygenerated-118913>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return S1**(S1**S2)\n",
+      "<lambdifygenerated-118919>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(cos(S1))**_a0_)\n",
+      "<lambdifygenerated-118920>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(cos(S1))**_a0_)\n",
+      " 16%|█▌        | 238/1500 [00:15<01:19, 15.85it/s]<lambdifygenerated-118933>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(relu(S1)*cosh(S2)))\n",
+      "<lambdifygenerated-118934>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(relu(S1)*cosh(S2)))\n",
+      "<lambdifygenerated-118935>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(relu(S1)*cosh(S2)))\n",
+      "<lambdifygenerated-118970>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sqrt(cos(S1 + exp(S2*_a0_))))\n",
+      "<lambdifygenerated-118971>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sqrt(cos(S1 + exp(S2*_a0_))))\n",
+      "<lambdifygenerated-118974>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(_a0_*(S1 + _a0_)))\n",
+      "<lambdifygenerated-118975>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(_a0_*(S1 + _a0_)))\n",
+      "<lambdifygenerated-118976>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(_a0_*(S1 + _a0_)))\n",
+      "<lambdifygenerated-118985>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(relu(S2 + _a0_))**_a0_))\n",
+      "<lambdifygenerated-118986>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(relu(S2 + _a0_))**_a0_))\n",
+      "<lambdifygenerated-118987>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(relu(S2 + _a0_))**_a0_))\n",
+      "<lambdifygenerated-118990>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(sinh(_a0_))**_a0_\n",
+      " 16%|█▌        | 240/1500 [00:15<01:20, 15.63it/s]<lambdifygenerated-119010>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-1/(_a0_*relu(S1)))\n",
+      "<lambdifygenerated-119018>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return cos(S1**2)**_a0_\n",
+      "<lambdifygenerated-119019>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return cos(S1**2)**_a0_\n",
+      "<lambdifygenerated-119026>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sinh(sqrt(_a0_)))**_a0_\n",
+      "<lambdifygenerated-119027>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sinh(sqrt(_a0_)))**_a0_\n",
+      "<lambdifygenerated-119028>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sinh(sqrt(_a0_)))**_a0_\n",
+      "<lambdifygenerated-119039>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(_a0_**S2)**_a0_)\n",
+      "<lambdifygenerated-119040>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(_a0_**S2)**_a0_)\n",
+      "<lambdifygenerated-119041>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(_a0_**S2)**_a0_)\n",
+      "<lambdifygenerated-119044>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S2)\n",
+      "<lambdifygenerated-119045>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S2)\n",
+      "<lambdifygenerated-119065>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return cos(sinh(S1))**_a0_\n",
+      "<lambdifygenerated-119066>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return cos(sinh(S1))**_a0_\n",
+      "<lambdifygenerated-119078>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(_a0_**(2*S1))**_a0_)\n",
+      "<lambdifygenerated-119079>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(_a0_**(2*S1))**_a0_)\n",
+      "<lambdifygenerated-119080>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(_a0_**(2*S1))**_a0_)\n",
+      "<lambdifygenerated-119081>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (S1 + _a0_)/(S1*sqrt(_a0_))\n",
+      "<lambdifygenerated-119082>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (S1 + _a0_)/(S1*sqrt(_a0_))\n",
+      "<lambdifygenerated-119085>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(S2/log(S1))\n",
+      "<lambdifygenerated-119086>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(S2/log(S1))\n",
+      "<lambdifygenerated-119087>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(S2/log(S1))\n",
+      " 16%|█▌        | 242/1500 [00:15<01:17, 16.17it/s]<lambdifygenerated-119088>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-1/2*relu(S2)/(S2*_a0_))\n",
+      "<lambdifygenerated-119093>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(S2)*sig(_a0_/S1)**(S1*log(_a0_))\n",
+      "<lambdifygenerated-119107>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return cos(S2)**_a0_\n",
+      "<lambdifygenerated-119108>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return cos(S2)**_a0_\n",
+      "<lambdifygenerated-119109>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return cos(S2)**_a0_\n",
+      "<lambdifygenerated-119121>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (S1 + _a0_)/(S1*sqrt(-S1))\n",
+      "<lambdifygenerated-119122>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (S1 + _a0_)/(S1*sqrt(-S1))\n",
+      "<lambdifygenerated-119123>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (S1 + _a0_)/(S1*sqrt(-S1))\n",
+      "<lambdifygenerated-119147>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(_a0_)**_a0_))\n",
+      "<lambdifygenerated-119148>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(_a0_)**_a0_))\n",
+      "<lambdifygenerated-119165>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(_a0_)**_a0_)\n",
+      "<lambdifygenerated-119166>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(_a0_)**_a0_)\n",
+      " 16%|█▋        | 244/1500 [00:16<01:23, 15.12it/s]<lambdifygenerated-119175>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log(-relu(S2)/(_a0_*relu(sin(_a0_))))\n",
+      "<lambdifygenerated-119176>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log(-relu(S2)/(_a0_*relu(sin(_a0_))))\n",
+      "<lambdifygenerated-119177>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log(-relu(S2)/(_a0_*relu(sin(_a0_))))\n",
+      "<lambdifygenerated-119189>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(_a0_**(-1.0))\n",
+      "<lambdifygenerated-119193>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(-S1)**_a0_))\n",
+      "<lambdifygenerated-119194>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(-S1)**_a0_))\n",
+      "<lambdifygenerated-119208>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(tan(S1**2)**_a0_)\n",
+      "<lambdifygenerated-119209>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(tan(S1**2)**_a0_)\n",
+      "<lambdifygenerated-119216>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-relu(log(S1))/(_a0_*relu(S1)))\n",
+      "<lambdifygenerated-119217>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-relu(log(S1))/(_a0_*relu(S1)))\n",
+      "<lambdifygenerated-119218>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-relu(log(S1))/(_a0_*relu(S1)))\n",
+      "<lambdifygenerated-119237>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(_a0_)**_a0_\n",
+      "<lambdifygenerated-119238>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(_a0_)**_a0_\n",
+      " 16%|█▋        | 246/1500 [00:16<01:23, 15.06it/s]<lambdifygenerated-119262>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(S2*_a0_**S1)\n",
+      "<lambdifygenerated-119263>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(S2*_a0_**S1)\n",
+      "<lambdifygenerated-119264>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(sin(S2))\n",
+      "<lambdifygenerated-119265>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(sin(S2))\n",
+      "<lambdifygenerated-119272>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(S1*_a0_)**_a0_\n",
+      "<lambdifygenerated-119273>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(S1*_a0_)**_a0_\n",
+      "<lambdifygenerated-119283>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return relu(sinh(fac(S1)**2)**_a0_)\n",
+      "<lambdifygenerated-119284>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return relu(sinh(fac(S1)**2)**_a0_)\n",
+      "<lambdifygenerated-119285>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return relu(sinh(fac(S1)**2)**_a0_)\n",
+      "<lambdifygenerated-119292>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-cos(S2)/(_a0_*relu(S1)))\n",
+      "<lambdifygenerated-119293>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-cos(S2)/(_a0_*relu(S1)))\n",
+      "<lambdifygenerated-119300>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(S2*(_a0_/S1)**S1)\n",
+      "<lambdifygenerated-119301>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(S2*(_a0_/S1)**S1)\n",
+      "<lambdifygenerated-119302>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(S2*(_a0_/S1)**S1)\n",
+      "<lambdifygenerated-119303>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S1 + _a0_)**_a0_\n",
+      "<lambdifygenerated-119304>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S1 + _a0_)**_a0_\n",
+      "<lambdifygenerated-119305>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S1 + _a0_)**_a0_\n",
+      "<lambdifygenerated-119313>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(_a0_)**_a0_\n",
+      "<lambdifygenerated-119314>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(_a0_)**_a0_\n",
+      "<lambdifygenerated-119321>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return relu(sinh(S1**S2)**_a0_)\n",
+      "<lambdifygenerated-119322>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return relu(sinh(S1**S2)**_a0_)\n",
+      "<lambdifygenerated-119323>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return relu(sinh(S1**S2)**_a0_)\n",
+      " 17%|█▋        | 248/1500 [00:16<01:20, 15.55it/s]<lambdifygenerated-119332>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)*exp(-S1)/relu(S1))\n",
+      "<lambdifygenerated-119333>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)*exp(-S1)/relu(S1))\n",
+      "<lambdifygenerated-119334>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)*exp(-S1)/relu(S1))\n",
+      "<lambdifygenerated-119346>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(tan(S2))\n",
+      "<lambdifygenerated-119347>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(tan(S2))\n",
+      "<lambdifygenerated-119348>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(tan(S2))\n",
+      "<lambdifygenerated-119366>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S1**(-_a0_)*relu(S2)/_a0_)\n",
+      "<lambdifygenerated-119373>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(S2*(S1 + _a0_)**S1)\n",
+      "<lambdifygenerated-119374>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(S2*(S1 + _a0_)**S1)\n",
+      "<lambdifygenerated-119375>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(S2*(S1 + _a0_)**S1)\n",
+      " 17%|█▋        | 250/1500 [00:16<01:17, 16.16it/s]<lambdifygenerated-119403>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(S2)*sig(S2 + _a0_)**(S1*_a0_)\n",
+      "<lambdifygenerated-119406>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(S2*_a0_**S1)\n",
+      "<lambdifygenerated-119407>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(S2*_a0_**S1)\n",
+      "<lambdifygenerated-119413>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(S2/_a0_)**_a0_))\n",
+      "<lambdifygenerated-119414>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(S2/_a0_)**_a0_))\n",
+      "<lambdifygenerated-119415>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(S2/_a0_)**_a0_))\n",
+      "<lambdifygenerated-119426>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return -sqrt(_a0_/S1)\n",
+      "<lambdifygenerated-119428>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(S2*_a0_)**_a0_)\n",
+      "<lambdifygenerated-119429>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(S2*_a0_)**_a0_)\n",
+      "<lambdifygenerated-119449>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(_a0_)**_a0_\n",
+      "<lambdifygenerated-119450>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(_a0_)**_a0_\n",
+      "<lambdifygenerated-119451>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return cos(S1)**_a0_\n",
+      "<lambdifygenerated-119452>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return cos(S1)**_a0_\n",
+      "<lambdifygenerated-119453>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return cos(S1)**_a0_\n",
+      "<lambdifygenerated-119458>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(tan(S1))\n",
+      "<lambdifygenerated-119459>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(tan(S1))\n",
+      " 17%|█▋        | 252/1500 [00:16<01:14, 16.74it/s]<lambdifygenerated-119482>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(log(S1))\n",
+      "<lambdifygenerated-119483>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(log(S1))\n",
+      "<lambdifygenerated-119484>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(log(S1))\n",
+      "<lambdifygenerated-119488>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(relu(_a0_))**_a0_))\n",
+      "<lambdifygenerated-119501>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(_a0_**_a0_)**_a0_)\n",
+      "<lambdifygenerated-119502>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(_a0_**_a0_)**_a0_)\n",
+      "<lambdifygenerated-119503>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(_a0_**_a0_)**_a0_)\n",
+      "<lambdifygenerated-119512>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-log(S2)/(_a0_*relu(S1)))\n",
+      "<lambdifygenerated-119521>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(_a0_)**_a0_))\n",
+      "<lambdifygenerated-119522>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(_a0_)**_a0_))\n",
+      "<lambdifygenerated-119534>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(S2*_a0_)**_a0_)\n",
+      "<lambdifygenerated-119535>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(S2*_a0_)**_a0_)\n",
+      " 17%|█▋        | 254/1500 [00:16<01:13, 16.90it/s]<lambdifygenerated-119544>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-relu(_a0_)/(_a0_*relu(S1)))\n",
+      "<lambdifygenerated-119545>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-relu(_a0_)/(_a0_*relu(S1)))\n",
+      "<lambdifygenerated-119580>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S1 + _a0_)**_a0_\n",
+      "<lambdifygenerated-119581>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S1 + _a0_)**_a0_\n",
+      "<lambdifygenerated-119582>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(S2*(_a0_**S1)**S1)\n",
+      "<lambdifygenerated-119583>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(S2*(_a0_**S1)**S1)\n",
+      "<lambdifygenerated-119584>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(S2*(_a0_**S1)**S1)\n",
+      "<lambdifygenerated-119590>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(relu(_a0_))**_a0_))\n",
+      " 17%|█▋        | 256/1500 [00:16<01:11, 17.46it/s]<lambdifygenerated-119620>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(relu(S1 + _a0_))**_a0_))\n",
+      "<lambdifygenerated-119621>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(relu(S1 + _a0_))**_a0_))\n",
+      "<lambdifygenerated-119622>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(relu(S1 + _a0_))**_a0_))\n",
+      "<lambdifygenerated-119642>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/S2)\n",
+      "<lambdifygenerated-119643>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/S2)\n",
+      "<lambdifygenerated-119649>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2/_a0_)**_a0_\n",
+      "<lambdifygenerated-119650>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2/_a0_)**_a0_\n",
+      "<lambdifygenerated-119670>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(S1 + _a0_)**_a0_)\n",
+      "<lambdifygenerated-119671>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(S1 + _a0_)**_a0_)\n",
+      "<lambdifygenerated-119672>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(S1 + _a0_)**_a0_)\n",
+      " 17%|█▋        | 260/1500 [00:17<01:13, 16.92it/s]<lambdifygenerated-119773>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(S2*_a0_**S1)\n",
+      "<lambdifygenerated-119774>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(S2*_a0_**S1)\n",
+      "<lambdifygenerated-119794>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(_a0_/sin(S1))\n",
+      "<lambdifygenerated-119795>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(_a0_/sin(S1))\n",
+      "<lambdifygenerated-119796>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(_a0_/sin(S1))\n",
+      "<lambdifygenerated-119798>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(relu(S1)*cos(_a0_)))\n",
+      "<lambdifygenerated-119799>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(relu(S1)*cos(_a0_)))\n",
+      "<lambdifygenerated-119800>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(relu(S1)*cos(_a0_)))\n",
+      "<lambdifygenerated-119810>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(log(S2)/S1)\n",
+      "<lambdifygenerated-119811>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(log(S2)/S1)\n",
+      "<lambdifygenerated-119812>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(log(S2)/S1)\n",
+      " 17%|█▋        | 262/1500 [00:17<01:12, 17.03it/s]<lambdifygenerated-119847>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(_a0_/S1)**_a0_\n",
+      "<lambdifygenerated-119848>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(_a0_/S1)**_a0_\n",
+      "<lambdifygenerated-119849>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(_a0_/S1)**_a0_\n",
+      "<lambdifygenerated-119860>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(sin(S1))**_a0_)\n",
+      "<lambdifygenerated-119880>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(-S1)**_a0_\n",
+      "<lambdifygenerated-119881>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(-S1)**_a0_\n",
+      "<lambdifygenerated-119888>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return relu(sinh(S1**(2*S2))**_a0_)\n",
+      "<lambdifygenerated-119889>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return relu(sinh(S1**(2*S2))**_a0_)\n",
+      "<lambdifygenerated-119890>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return relu(sinh(S1**(2*S2))**_a0_)\n",
+      " 18%|█▊        | 264/1500 [00:17<01:12, 16.98it/s]<lambdifygenerated-119898>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(-_a0_**(-S2)*relu(S2)/relu(S1))\n",
+      "<lambdifygenerated-119899>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(-_a0_**(-S2)*relu(S2)/relu(S1))\n",
+      "<lambdifygenerated-119900>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(-_a0_**(-S2)*relu(S2)/relu(S1))\n",
+      "<lambdifygenerated-119914>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(_a0_**_a0_)\n",
+      "<lambdifygenerated-119959>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(sin(relu(S1))**_a0_))\n",
+      "<lambdifygenerated-119960>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(sin(relu(S1))**_a0_))\n",
+      "<lambdifygenerated-119961>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_/S2)**_a0_\n",
+      "<lambdifygenerated-119962>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_/S2)**_a0_\n",
+      "<lambdifygenerated-119963>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_/S2)**_a0_\n",
+      " 18%|█▊        | 266/1500 [00:17<01:15, 16.41it/s]<lambdifygenerated-119978>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(sin(relu(S2)/(_a0_*relu(S1))))\n",
+      "<lambdifygenerated-119979>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(sin(relu(S2)/(_a0_*relu(S1))))\n",
+      "<lambdifygenerated-119992>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(relu(-S2))**_a0_))\n",
+      "<lambdifygenerated-119993>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(relu(-S2))**_a0_))\n",
+      "<lambdifygenerated-119994>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(relu(-S2))**_a0_))\n",
+      "<lambdifygenerated-120001>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2 + _a0_)**exp(S1)\n",
+      "<lambdifygenerated-120016>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(_a0_*(S1 + _a0_)))\n",
+      "<lambdifygenerated-120017>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(_a0_*(S1 + _a0_)))\n",
+      " 18%|█▊        | 268/1500 [00:17<01:17, 15.94it/s]<lambdifygenerated-120059>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return tan(sinh(S1))**_a0_\n",
+      "<lambdifygenerated-120074>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(_a0_)**_a0_)\n",
+      "<lambdifygenerated-120075>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(_a0_)**_a0_)\n",
+      "<lambdifygenerated-120082>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(S2*relu(S1)))\n",
+      "<lambdifygenerated-120083>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(S2*relu(S1)))\n",
+      "<lambdifygenerated-120095>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(S2*sig(_a0_**S1)**S1)\n",
+      "<lambdifygenerated-120096>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(S2*sig(_a0_**S1)**S1)\n",
+      "<lambdifygenerated-120097>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(S2*sig(_a0_**S1)**S1)\n",
+      "<lambdifygenerated-120098>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(-sinh(S1))**_a0_\n",
+      "<lambdifygenerated-120099>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(-sinh(S1))**_a0_\n",
+      "<lambdifygenerated-120103>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2/_a0_)**_a0_\n",
+      "<lambdifygenerated-120104>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2/_a0_)**_a0_\n",
+      " 18%|█▊        | 270/1500 [00:17<01:18, 15.57it/s]<lambdifygenerated-120140>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(S2*_a0_))**_a0_\n",
+      "<lambdifygenerated-120141>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(S2*_a0_))**_a0_\n",
+      "<lambdifygenerated-120142>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(S2*_a0_))**_a0_\n",
+      "<lambdifygenerated-120168>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return sinh(S1)**(S1**S1)\n",
+      "<lambdifygenerated-120169>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return sinh(S1)**(S1**S1)\n",
+      "<lambdifygenerated-120170>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return sinh(S1)**(S1**S1)\n",
+      " 18%|█▊        | 272/1500 [00:17<01:16, 16.10it/s]<lambdifygenerated-120197>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S1**_a0_/(_a0_*relu(S1)))\n",
+      "<lambdifygenerated-120202>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S1/_a0_)**_a0_\n",
+      "<lambdifygenerated-120203>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S1/_a0_)**_a0_\n",
+      "<lambdifygenerated-120204>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S1/_a0_)**_a0_\n",
+      "<lambdifygenerated-120215>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(cos(S1))**_a0_\n",
+      "<lambdifygenerated-120216>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sin(S2)**_a0_\n",
+      "<lambdifygenerated-120217>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sin(S2)**_a0_\n",
+      "<lambdifygenerated-120218>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sin(S2)**_a0_\n",
+      "<lambdifygenerated-120241>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(S2**2*relu(S1)))\n",
+      "<lambdifygenerated-120242>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(S2**2*relu(S1)))\n",
+      " 18%|█▊        | 274/1500 [00:17<01:17, 15.88it/s]<lambdifygenerated-120302>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(S2/_a0_)/sqrt(-_a0_)\n",
+      "<lambdifygenerated-120303>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(S2/_a0_)/sqrt(-_a0_)\n",
+      "<lambdifygenerated-120304>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(S2/_a0_)/sqrt(-_a0_)\n",
+      "<lambdifygenerated-120316>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-120330>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(relu(cos(S2)))**_a0_))\n",
+      "<lambdifygenerated-120331>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(relu(cos(S2)))**_a0_))\n",
+      "<lambdifygenerated-120332>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(relu(cos(S2)))**_a0_))\n",
+      "<lambdifygenerated-120343>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-S2)\n",
+      "<lambdifygenerated-120344>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-S2)\n",
+      "<lambdifygenerated-120345>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-S2)\n",
+      " 18%|█▊        | 276/1500 [00:18<01:16, 16.03it/s]<lambdifygenerated-120353>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-relu(_a0_/S1)/(_a0_*relu(S1)))\n",
+      "<lambdifygenerated-120354>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-relu(_a0_/S1)/(_a0_*relu(S1)))\n",
+      "<lambdifygenerated-120355>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-relu(_a0_/S1)/(_a0_*relu(S1)))\n",
+      "<lambdifygenerated-120367>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(_a0_)**_a0_))\n",
+      "<lambdifygenerated-120368>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(_a0_)**_a0_))\n",
+      "<lambdifygenerated-120381>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(tan(S2))\n",
+      "<lambdifygenerated-120382>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(tan(S2))\n",
+      "<lambdifygenerated-120383>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(tan(S2))\n",
+      "<lambdifygenerated-120390>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S1*relu(S2)/(S2*relu(S1)))\n",
+      "<lambdifygenerated-120391>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S1*relu(S2)/(S2*relu(S1)))\n",
+      "<lambdifygenerated-120392>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S1*relu(S2)/(S2*relu(S1)))\n",
+      "<lambdifygenerated-120396>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_**_a0_)**_a0_\n",
+      "<lambdifygenerated-120397>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_**_a0_)**_a0_\n",
+      "<lambdifygenerated-120398>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_**_a0_)**_a0_\n",
+      "<lambdifygenerated-120407>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return relu(sinh(S2**S2))**_a0_\n",
+      "<lambdifygenerated-120408>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return relu(sinh(S2**S2))**_a0_\n",
+      " 19%|█▊        | 278/1500 [00:18<01:14, 16.35it/s]<lambdifygenerated-120429>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(S1*relu(S1)))\n",
+      "<lambdifygenerated-120430>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(S1*relu(S1)))\n",
+      "<lambdifygenerated-120445>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(S2/_a0_)/sqrt(sin(S2))\n",
+      "<lambdifygenerated-120446>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(S2/_a0_)/sqrt(sin(S2))\n",
+      "<lambdifygenerated-120447>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(S2/_a0_)/sqrt(sin(S2))\n",
+      "<lambdifygenerated-120462>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(relu(S1)*sinh(S2)))\n",
+      "<lambdifygenerated-120463>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(relu(S1)*sinh(S2)))\n",
+      "<lambdifygenerated-120464>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(relu(S1)*sinh(S2)))\n",
+      "<lambdifygenerated-120478>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(relu(relu(relu(S1))**(S2**S2)))\n",
+      "<lambdifygenerated-120479>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(relu(relu(relu(S1))**(S2**S2)))\n",
+      "<lambdifygenerated-120480>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(relu(relu(relu(S1))**(S2**S2)))\n",
+      " 19%|█▊        | 280/1500 [00:18<01:13, 16.57it/s]<lambdifygenerated-120502>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(cos(S2))**_a0_\n",
+      "<lambdifygenerated-120503>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(cos(S2))**_a0_\n",
+      "<lambdifygenerated-120504>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(cos(S2))**_a0_\n",
+      "<lambdifygenerated-120521>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return S1**(S2**S1)\n",
+      "<lambdifygenerated-120522>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return S1**(S2**S1)\n",
+      "<lambdifygenerated-120523>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return S1**(S2**S1)\n",
+      "<lambdifygenerated-120526>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(S2 + _a0_)**_a0_)\n",
+      "<lambdifygenerated-120527>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(S2 + _a0_)**_a0_)\n",
+      "<lambdifygenerated-120528>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(S2 + _a0_)**_a0_)\n",
+      "<lambdifygenerated-120558>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(relu(sin(S1)))**_a0_))\n",
+      "<lambdifygenerated-120559>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(relu(sin(S1)))**_a0_))\n",
+      "<lambdifygenerated-120560>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(relu(sin(S1)))**_a0_))\n",
+      " 19%|█▉        | 282/1500 [00:18<01:12, 16.81it/s]<lambdifygenerated-120573>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-1/relu(S1))\n",
+      "<lambdifygenerated-120574>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-1/relu(S1))\n",
+      "<lambdifygenerated-120579>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(tan(S1)/S1)\n",
+      "<lambdifygenerated-120580>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(tan(S1)/S1)\n",
+      "<lambdifygenerated-120585>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(cos(S1))**_a0_\n",
+      "<lambdifygenerated-120586>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(2*_a0_)**_a0_))\n",
+      "<lambdifygenerated-120587>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(2*_a0_)**_a0_))\n",
+      "<lambdifygenerated-120588>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(2*_a0_)**_a0_))\n",
+      "<lambdifygenerated-120610>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-relu(tan(_a0_))/(_a0_*relu(S1)))\n",
+      "<lambdifygenerated-120611>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-relu(tan(_a0_))/(_a0_*relu(S1)))\n",
+      "<lambdifygenerated-120612>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-relu(tan(_a0_))/(_a0_*relu(S1)))\n",
+      "<lambdifygenerated-120617>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(S2)*sig(2*_a0_)**(S1*_a0_)\n",
+      "<lambdifygenerated-120621>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return S2**_a0_/log(_a0_)\n",
+      "<lambdifygenerated-120625>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(cos(S2)**_a0_)\n",
+      "<lambdifygenerated-120626>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(cos(S2)**_a0_)\n",
+      "<lambdifygenerated-120627>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(cos(S2)**_a0_)\n",
+      " 19%|█▉        | 284/1500 [00:18<01:14, 16.43it/s]<lambdifygenerated-120649>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-1/relu(S1))\n",
+      "<lambdifygenerated-120650>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-1/relu(S1))\n",
+      "<lambdifygenerated-120653>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(sin(S2))**_a0_\n",
+      "<lambdifygenerated-120654>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(sin(S2))**_a0_\n",
+      "<lambdifygenerated-120655>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(sin(S2))**_a0_\n",
+      "<lambdifygenerated-120661>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu((_a0_**S2)**_a0_)\n",
+      "<lambdifygenerated-120662>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu((_a0_**S2)**_a0_)\n",
+      "<lambdifygenerated-120682>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-relu(_a0_)/(_a0_*relu(S1)))\n",
+      "<lambdifygenerated-120694>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(S1**(_a0_**S1))\n",
+      "<lambdifygenerated-120695>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(S1**(_a0_**S1))\n",
+      "<lambdifygenerated-120696>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(S1**(_a0_**S1))\n",
+      "<lambdifygenerated-120709>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(sinh(S1**2)**(S2**S2))\n",
+      "<lambdifygenerated-120710>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(sinh(S1**2)**(S2**S2))\n",
+      "<lambdifygenerated-120711>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(sinh(S1**2)**(S2**S2))\n",
+      "<lambdifygenerated-120712>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(log(_a0_))\n",
+      "<lambdifygenerated-120713>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(log(_a0_))\n",
+      "<lambdifygenerated-120714>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(log(_a0_))\n",
+      " 19%|█▉        | 286/1500 [00:18<01:12, 16.81it/s]<lambdifygenerated-120720>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S1/(_a0_*relu(S1)))\n",
+      "<lambdifygenerated-120752>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(S1*_a0_)**_a0_)\n",
+      "<lambdifygenerated-120753>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(S1*_a0_)**_a0_)\n",
+      "<lambdifygenerated-120754>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(S1*_a0_)**_a0_)\n",
+      "<lambdifygenerated-120756>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(cos(S1 + exp(S2*_a0_))))\n",
+      "<lambdifygenerated-120757>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(cos(S1 + exp(S2*_a0_))))\n",
+      "<lambdifygenerated-120792>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(log(S1))**_a0_)\n",
+      "<lambdifygenerated-120793>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(log(S1))**_a0_)\n",
+      " 19%|█▉        | 288/1500 [00:18<01:12, 16.65it/s]<lambdifygenerated-120799>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(fac(relu(S2)/(_a0_*relu(S1))))\n",
+      "<lambdifygenerated-120800>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(fac(relu(S2)/(_a0_*relu(S1))))\n",
+      "<lambdifygenerated-120836>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (S1 + _a0_)/(S1*sqrt(_a0_**3))\n",
+      "<lambdifygenerated-120837>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (S1 + _a0_)/(S1*sqrt(_a0_**3))\n",
+      "<lambdifygenerated-120838>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (S1 + _a0_)/(S1*sqrt(_a0_**3))\n",
+      "<lambdifygenerated-120859>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return tanh(_a0_)**_a0_\n",
+      "<lambdifygenerated-120860>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return tanh(_a0_)**_a0_\n",
+      " 19%|█▉        | 290/1500 [00:18<01:13, 16.36it/s]<lambdifygenerated-120885>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(S2*(_a0_/S1)**S1)\n",
+      "<lambdifygenerated-120886>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(S2*(_a0_/S1)**S1)\n",
+      "<lambdifygenerated-120890>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(sinh(S1))**(S2**S2)\n",
+      "<lambdifygenerated-120891>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(sinh(S1))**(S2**S2)\n",
+      "<lambdifygenerated-120892>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(sinh(S1))**(S2**S2)\n",
+      "<lambdifygenerated-120901>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return relu(sinh(S1**S1)**_a0_)\n",
+      "<lambdifygenerated-120902>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return relu(sinh(S1**S1)**_a0_)\n",
+      "<lambdifygenerated-120903>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return relu(sinh(S1**S1)**_a0_)\n",
+      "<lambdifygenerated-120916>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(log(S2)/S1)\n",
+      "<lambdifygenerated-120917>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(log(S2)/S1)\n",
+      "<lambdifygenerated-120926>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(sinh(_a0_))**_a0_\n",
+      " 19%|█▉        | 292/1500 [00:18<01:11, 16.96it/s]<lambdifygenerated-120946>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-tan(S2)/(_a0_*relu(S1)))\n",
+      "<lambdifygenerated-120947>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-tan(S2)/(_a0_*relu(S1)))\n",
+      "<lambdifygenerated-120960>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu(_a0_**_a0_))\n",
+      "<lambdifygenerated-120961>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu(_a0_**_a0_))\n",
+      "<lambdifygenerated-120962>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu(_a0_**_a0_))\n",
+      "<lambdifygenerated-120982>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(relu(S1)*tanh(S2)))\n",
+      "<lambdifygenerated-120983>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(relu(S1)*tanh(S2)))\n",
+      "<lambdifygenerated-120984>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(relu(S1)*tanh(S2)))\n",
+      "<lambdifygenerated-120988>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      " 20%|█▉        | 294/1500 [00:19<01:11, 16.78it/s]<lambdifygenerated-121043>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(sinh(_a0_))**_a0_\n",
+      "<lambdifygenerated-121048>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return fac(_a0_)**_a0_\n",
+      "<lambdifygenerated-121049>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return fac(_a0_)**_a0_\n",
+      "<lambdifygenerated-121075>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(sinh(_a0_))**_a0_\n",
+      "<lambdifygenerated-121079>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(cos(S1))**_a0_)\n",
+      " 20%|█▉        | 296/1500 [00:19<01:26, 13.94it/s]<lambdifygenerated-121086>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(-(relu(S2)/_a0_)**S1)\n",
+      "<lambdifygenerated-121087>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(-(relu(S2)/_a0_)**S1)\n",
+      "<lambdifygenerated-121089>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-121118>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return cos(S1)**_a0_\n",
+      "<lambdifygenerated-121122>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*(S1*_a0_)**S1))\n",
+      "<lambdifygenerated-121123>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*(S1*_a0_)**S1))\n",
+      "<lambdifygenerated-121124>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*(S1*_a0_)**S1))\n",
+      "<lambdifygenerated-121145>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-S2)\n",
+      "<lambdifygenerated-121146>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-S2)\n",
+      " 20%|█▉        | 298/1500 [00:19<01:19, 15.12it/s]<lambdifygenerated-121152>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(fac(relu(S2)/(S1*_a0_)))\n",
+      "<lambdifygenerated-121153>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(fac(relu(S2)/(S1*_a0_)))\n",
+      "<lambdifygenerated-121164>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(sinh(relu(_a0_)))**_a0_))\n",
+      "<lambdifygenerated-121165>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(sinh(relu(_a0_)))**_a0_))\n",
+      "<lambdifygenerated-121166>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(sinh(relu(_a0_)))**_a0_))\n",
+      "<lambdifygenerated-121200>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu((S2 + _a0_)**_a0_)\n",
+      "<lambdifygenerated-121201>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu((S2 + _a0_)**_a0_)\n",
+      "<lambdifygenerated-121202>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu((S2 + _a0_)**_a0_)\n",
+      "<lambdifygenerated-121207>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(_a0_)**_a0_\n",
+      "<lambdifygenerated-121208>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(_a0_)**_a0_\n",
+      "<lambdifygenerated-121213>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(S1*_a0_)**_a0_)\n",
+      "<lambdifygenerated-121214>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(S1*_a0_)**_a0_)\n",
+      " 20%|██        | 300/1500 [00:19<01:15, 15.97it/s]<lambdifygenerated-121225>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(S2)*log(sig(S1))**(S1*_a0_)\n",
+      "<lambdifygenerated-121226>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(S2)*log(sig(S1))**(S1*_a0_)\n",
+      "<lambdifygenerated-121235>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(_a0_)**_a0_))\n",
+      "<lambdifygenerated-121236>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(_a0_)**_a0_))\n",
+      "<lambdifygenerated-121241>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(_a0_)**_a0_\n",
+      "<lambdifygenerated-121242>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(_a0_)**_a0_\n",
+      "<lambdifygenerated-121262>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(tan(S2)/S1)\n",
+      "<lambdifygenerated-121263>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(tan(S2)/S1)\n",
+      "<lambdifygenerated-121264>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(tan(S2)/S1)\n",
+      "<lambdifygenerated-121274>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(tan(S1))**_a0_))\n",
+      " 20%|██        | 302/1500 [00:19<01:14, 15.98it/s]<lambdifygenerated-121296>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-(_a0_ + relu(S2))/S1)\n",
+      "<lambdifygenerated-121297>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-(_a0_ + relu(S2))/S1)\n",
+      "<lambdifygenerated-121330>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(S1*S2))\n",
+      "<lambdifygenerated-121331>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(S1*S2))\n",
+      "<lambdifygenerated-121333>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sin(S1)**_a0_\n",
+      "<lambdifygenerated-121334>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(S2)*sig(S2*_a0_)**(S1*_a0_)\n",
+      "<lambdifygenerated-121337>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(tan(S1))\n",
+      "<lambdifygenerated-121338>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(tan(S1))\n",
+      "<lambdifygenerated-121357>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(tan(S1))\n",
+      "<lambdifygenerated-121358>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(tan(S1))\n",
+      " 20%|██        | 304/1500 [00:19<01:13, 16.20it/s]<lambdifygenerated-121361>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2**_a0_)/(S1*_a0_))\n",
+      "<lambdifygenerated-121369>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*(_a0_**3)**S1))\n",
+      "<lambdifygenerated-121370>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*(_a0_**3)**S1))\n",
+      "<lambdifygenerated-121377>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return exp(-sig(_a0_)/log(_a0_))/S1\n",
+      "<lambdifygenerated-121378>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return exp(-sig(_a0_)/log(_a0_))/S1\n",
+      "<lambdifygenerated-121379>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return exp(-sig(_a0_)/log(_a0_))/S1\n",
+      "<lambdifygenerated-121383>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(S2 + _a0_)**_a0_\n",
+      "<lambdifygenerated-121384>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(S2 + _a0_)**_a0_\n",
+      "<lambdifygenerated-121393>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(cos(S2))\n",
+      "<lambdifygenerated-121394>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(cos(S2))\n",
+      "<lambdifygenerated-121398>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return _a0_/sqrt(tan(S1))\n",
+      "<lambdifygenerated-121399>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return _a0_/sqrt(tan(S1))\n",
+      "<lambdifygenerated-121400>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return _a0_/sqrt(tan(S1))\n",
+      "<lambdifygenerated-121433>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(exp(cos(S1 + exp(_a0_*_a0_**S2))))\n",
+      "<lambdifygenerated-121434>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(exp(cos(S1 + exp(_a0_*_a0_**S2))))\n",
+      "<lambdifygenerated-121435>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(exp(cos(S1 + exp(_a0_*_a0_**S2))))\n",
+      " 20%|██        | 306/1500 [00:19<01:15, 15.75it/s]<lambdifygenerated-121456>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(_a0_/S1)**_a0_))\n",
+      "<lambdifygenerated-121457>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(_a0_/S1)**_a0_))\n",
+      "<lambdifygenerated-121469>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(_a0_/sin(S2))\n",
+      "<lambdifygenerated-121470>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(_a0_/sin(S2))\n",
+      "<lambdifygenerated-121471>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(_a0_/sin(S2))\n",
+      "<lambdifygenerated-121477>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S1)/(S1*_a0_))\n",
+      "<lambdifygenerated-121508>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(tan(_a0_))\n",
+      "<lambdifygenerated-121509>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(tan(_a0_))\n",
+      " 21%|██        | 308/1500 [00:20<01:12, 16.36it/s]<lambdifygenerated-121514>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(tan(relu(S2)/(S1*_a0_)))\n",
+      "<lambdifygenerated-121515>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(tan(relu(S2)/(S1*_a0_)))\n",
+      "<lambdifygenerated-121517>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2/_a0_)**_a0_\n",
+      "<lambdifygenerated-121518>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2/_a0_)**_a0_\n",
+      "<lambdifygenerated-121523>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return S2**(S1**S1)/(S1 + _a0_)\n",
+      "<lambdifygenerated-121524>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return S2**(S1**S1)/(S1 + _a0_)\n",
+      "<lambdifygenerated-121525>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return S2**(S1**S1)/(S1 + _a0_)\n",
+      "<lambdifygenerated-121535>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (S2 + sig(_a0_))*exp(-sqrt(_a0_))\n",
+      "<lambdifygenerated-121536>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (S2 + sig(_a0_))*exp(-sqrt(_a0_))\n",
+      "<lambdifygenerated-121537>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (S2 + sig(_a0_))*exp(-sqrt(_a0_))\n",
+      "<lambdifygenerated-121552>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(S1*S2))\n",
+      " 21%|██        | 310/1500 [00:20<01:12, 16.40it/s]<lambdifygenerated-121591>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)**_a0_/S1)\n",
+      "<lambdifygenerated-121592>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)**_a0_/S1)\n",
+      "<lambdifygenerated-121594>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-121631>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return log(sqrt(relu(S2)/(S1*_a0_)))\n",
+      "<lambdifygenerated-121632>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return log(sqrt(relu(S2)/(S1*_a0_)))\n",
+      "<lambdifygenerated-121662>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(log(S1)/S1)\n",
+      "<lambdifygenerated-121663>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(log(S1)/S1)\n",
+      " 21%|██        | 312/1500 [00:20<01:12, 16.36it/s]<lambdifygenerated-121665>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(-_a0_**(-S2)*relu(S2)/S1)\n",
+      "<lambdifygenerated-121666>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(-_a0_**(-S2)*relu(S2)/S1)\n",
+      "<lambdifygenerated-121667>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(-_a0_**(-S2)*relu(S2)/S1)\n",
+      "<lambdifygenerated-121671>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S1*_a0_)**_a0_\n",
+      "<lambdifygenerated-121672>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S1*_a0_)**_a0_\n",
+      "<lambdifygenerated-121673>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S1*_a0_)**_a0_\n",
+      "<lambdifygenerated-121711>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(S2/(S1 + _a0_))\n",
+      "<lambdifygenerated-121730>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(sinh(_a0_**3))**_a0_\n",
+      "<lambdifygenerated-121731>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(sinh(_a0_**3))**_a0_\n",
+      "<lambdifygenerated-121732>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(sinh(_a0_**3))**_a0_\n",
+      " 21%|██        | 314/1500 [00:20<01:12, 16.35it/s]<lambdifygenerated-121748>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return (_a0_**3)**_a0_/(S1 + _a0_)\n",
+      "<lambdifygenerated-121751>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*_a0_**S1))\n",
+      "<lambdifygenerated-121752>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*_a0_**S1))\n",
+      "<lambdifygenerated-121753>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*_a0_**S1))\n",
+      "<lambdifygenerated-121778>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return log(-_a0_**_a0_/(S1*_a0_))\n",
+      "<lambdifygenerated-121779>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return log(-_a0_**_a0_/(S1*_a0_))\n",
+      "<lambdifygenerated-121780>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return log(-_a0_**_a0_/(S1*_a0_))\n",
+      "<lambdifygenerated-121783>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(cos(_a0_))\n",
+      "<lambdifygenerated-121810>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu((_a0_/S2)**_a0_)\n",
+      "<lambdifygenerated-121811>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu((_a0_/S2)**_a0_)\n",
+      " 21%|██        | 316/1500 [00:20<01:11, 16.59it/s]<lambdifygenerated-121843>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(_a0_**_a0_)**_a0_\n",
+      "<lambdifygenerated-121844>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(_a0_**_a0_)**_a0_\n",
+      "<lambdifygenerated-121845>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(_a0_**_a0_)\n",
+      "<lambdifygenerated-121846>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(_a0_**_a0_)\n",
+      "<lambdifygenerated-121870>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(_a0_**_a0_)\n",
+      "<lambdifygenerated-121881>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(exp(cos(S1 + exp(S1**S2*S2))))\n",
+      "<lambdifygenerated-121881>:2: RuntimeWarning: invalid value encountered in cos\n",
+      "  return relu(exp(cos(S1 + exp(S1**S2*S2))))\n",
+      "<lambdifygenerated-121882>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(exp(cos(S1 + exp(S1**S2*S2))))\n",
+      "<lambdifygenerated-121882>:2: RuntimeWarning: invalid value encountered in cos\n",
+      "  return relu(exp(cos(S1 + exp(S1**S2*S2))))\n",
+      "<lambdifygenerated-121883>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(exp(cos(S1 + exp(S1**S2*S2))))\n",
+      "<lambdifygenerated-121883>:2: RuntimeWarning: invalid value encountered in cos\n",
+      "  return relu(exp(cos(S1 + exp(S1**S2*S2))))\n",
+      "<lambdifygenerated-121884>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(tan(_a0_))\n",
+      "<lambdifygenerated-121885>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(tan(_a0_))\n",
+      " 21%|██        | 318/1500 [00:20<01:11, 16.58it/s]<lambdifygenerated-121915>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(sinh(_a0_))**_a0_\n",
+      "<lambdifygenerated-121925>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-tanh(S2)/(S1*_a0_))\n",
+      "<lambdifygenerated-121947>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(_a0_**_a0_)\n",
+      "<lambdifygenerated-121948>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(_a0_**_a0_)\n",
+      " 21%|██▏       | 320/1500 [00:20<01:10, 16.71it/s]<lambdifygenerated-121957>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(S1*tan(S1)))\n",
+      "<lambdifygenerated-121958>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(S1*tan(S1)))\n",
+      "<lambdifygenerated-121959>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(S1*tan(S1)))\n",
+      "<lambdifygenerated-121971>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(sin(sinh(S1))**_a0_))\n",
+      "<lambdifygenerated-121972>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(sin(sinh(S1))**_a0_))\n",
+      "<lambdifygenerated-121982>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(_a0_)**_a0_)\n",
+      "<lambdifygenerated-121996>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(S1*S2**2))\n",
+      "<lambdifygenerated-121997>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(S1*S2**2))\n",
+      "<lambdifygenerated-121998>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(S1*S2**2))\n",
+      " 21%|██▏       | 322/1500 [00:20<01:11, 16.46it/s]<lambdifygenerated-122059>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(S1))**(_a0_**_a0_)\n",
+      "<lambdifygenerated-122060>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(S1))**(_a0_**_a0_)\n",
+      "<lambdifygenerated-122061>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(S1))**(_a0_**_a0_)\n",
+      "<lambdifygenerated-122078>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(-sinh(S1))**_a0_))\n",
+      "<lambdifygenerated-122079>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(-sinh(S1))**_a0_))\n",
+      "<lambdifygenerated-122080>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(-sinh(S1))**_a0_))\n",
+      " 22%|██▏       | 324/1500 [00:20<01:09, 16.87it/s]<lambdifygenerated-122112>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*(S2*_a0_)**S1))\n",
+      "<lambdifygenerated-122113>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*(S2*_a0_)**S1))\n",
+      "<lambdifygenerated-122114>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*(S2*_a0_)**S1))\n",
+      "<lambdifygenerated-122115>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return relu(relu(relu(sinh(S2**S2))**_a0_))\n",
+      "<lambdifygenerated-122116>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return relu(relu(relu(sinh(S2**S2))**_a0_))\n",
+      "<lambdifygenerated-122117>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return relu(relu(relu(sinh(S2**S2))**_a0_))\n",
+      "<lambdifygenerated-122134>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2/_a0_)**_a0_\n",
+      "<lambdifygenerated-122135>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2/_a0_)**_a0_\n",
+      "<lambdifygenerated-122140>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-1/S1)\n",
+      "<lambdifygenerated-122141>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-1/S1)\n",
+      "<lambdifygenerated-122142>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-1/S1)\n",
+      "<lambdifygenerated-122154>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(_a0_)**_a0_))\n",
+      "<lambdifygenerated-122155>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(_a0_)**_a0_))\n",
+      "<lambdifygenerated-122164>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return exp(-sig(_a0_)/(S2 + _a0_))/S1\n",
+      "<lambdifygenerated-122170>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_**S1)**_a0_\n",
+      "<lambdifygenerated-122171>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_**S1)**_a0_\n",
+      "<lambdifygenerated-122172>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_**S1)**_a0_\n",
+      " 22%|██▏       | 326/1500 [00:21<01:13, 16.02it/s]<lambdifygenerated-122202>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return exp(-sqrt(_a0_)/S1)/S1\n",
+      "<lambdifygenerated-122203>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return exp(-sqrt(_a0_)/S1)/S1\n",
+      "<lambdifygenerated-122217>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(S1*log(S2)))\n",
+      "<lambdifygenerated-122218>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(S1*log(S2)))\n",
+      "<lambdifygenerated-122219>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(S1*log(S2)))\n",
+      "<lambdifygenerated-122222>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(tan(S2))\n",
+      "<lambdifygenerated-122223>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(tan(S2))\n",
+      "<lambdifygenerated-122224>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return S2**(S2**S2)/(S1 + _a0_)\n",
+      "<lambdifygenerated-122225>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return S2**(S2**S2)/(S1 + _a0_)\n",
+      "<lambdifygenerated-122226>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return S2**(S2**S2)/(S1 + _a0_)\n",
+      " 22%|██▏       | 328/1500 [00:21<01:10, 16.52it/s]<lambdifygenerated-122265>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return (_a0_**_a0_ + sig(_a0_))*exp(-S1)\n",
+      "<lambdifygenerated-122266>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return (_a0_**_a0_ + sig(_a0_))*exp(-S1)\n",
+      "<lambdifygenerated-122267>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return (_a0_**_a0_ + sig(_a0_))*exp(-S1)\n",
+      "<lambdifygenerated-122271>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(_a0_**_a0_)\n",
+      "<lambdifygenerated-122272>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(_a0_**_a0_)\n",
+      "<lambdifygenerated-122278>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(log(_a0_)/S1)\n",
+      "<lambdifygenerated-122279>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(log(_a0_)/S1)\n",
+      "<lambdifygenerated-122280>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(log(_a0_)/S1)\n",
+      "<lambdifygenerated-122286>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(-_a0_**(-S1)*relu(S2)/_a0_)\n",
+      "<lambdifygenerated-122286>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-_a0_**(-S1)*relu(S2)/_a0_)\n",
+      "<lambdifygenerated-122287>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(-_a0_**(-S1)*relu(S2)/_a0_)\n",
+      "<lambdifygenerated-122287>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-_a0_**(-S1)*relu(S2)/_a0_)\n",
+      "<lambdifygenerated-122288>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(-_a0_**(-S1)*relu(S2)/_a0_)\n",
+      "<lambdifygenerated-122288>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-_a0_**(-S1)*relu(S2)/_a0_)\n",
+      " 22%|██▏       | 330/1500 [00:21<01:11, 16.48it/s]<lambdifygenerated-122332>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*(S2*_a0_)**S1))\n",
+      "<lambdifygenerated-122333>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*(S2*_a0_)**S1))\n",
+      "<lambdifygenerated-122334>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(cos(sinh(S1))**_a0_))\n",
+      "<lambdifygenerated-122335>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(cos(sinh(S1))**_a0_))\n",
+      "<lambdifygenerated-122336>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu((S2*_a0_)**_a0_)\n",
+      "<lambdifygenerated-122337>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu((S2*_a0_)**_a0_)\n",
+      "<lambdifygenerated-122338>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu((S2*_a0_)**_a0_)\n",
+      "<lambdifygenerated-122344>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(S1*_a0_)**_a0_\n",
+      "<lambdifygenerated-122345>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(S1*_a0_)**_a0_\n",
+      "<lambdifygenerated-122346>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(cos(S2))**_a0_)\n",
+      "<lambdifygenerated-122347>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(cos(S2))**_a0_)\n",
+      "<lambdifygenerated-122348>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(cos(S2))**_a0_)\n",
+      "<lambdifygenerated-122351>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(exp(cos(S1 + exp(S2*exp(S1)))))\n",
+      "<lambdifygenerated-122351>:2: RuntimeWarning: invalid value encountered in cos\n",
+      "  return relu(exp(cos(S1 + exp(S2*exp(S1)))))\n",
+      "<lambdifygenerated-122352>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(exp(cos(S1 + exp(S2*exp(S1)))))\n",
+      "<lambdifygenerated-122352>:2: RuntimeWarning: invalid value encountered in cos\n",
+      "  return relu(exp(cos(S1 + exp(S2*exp(S1)))))\n",
+      "<lambdifygenerated-122353>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(exp(cos(S1 + exp(S2*exp(S1)))))\n",
+      "<lambdifygenerated-122353>:2: RuntimeWarning: invalid value encountered in cos\n",
+      "  return relu(exp(cos(S1 + exp(S2*exp(S1)))))\n",
+      "<lambdifygenerated-122354>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(tan(S1))\n",
+      "<lambdifygenerated-122355>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(tan(S1))\n",
+      "<lambdifygenerated-122356>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return _a0_**S1/S1**(3/2)\n",
+      "<lambdifygenerated-122357>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return _a0_**S1/S1**(3/2)\n",
+      "<lambdifygenerated-122370>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*(S1 + _a0_)**S1))\n",
+      "<lambdifygenerated-122371>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*(S1 + _a0_)**S1))\n",
+      "<lambdifygenerated-122372>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*(S1 + _a0_)**S1))\n",
+      " 22%|██▏       | 332/1500 [00:21<01:09, 16.71it/s]<lambdifygenerated-122445>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*(S2*_a0_)**S1))\n",
+      "<lambdifygenerated-122446>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*(S2*_a0_)**S1))\n",
+      "<lambdifygenerated-122447>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(S2 + _a0_)**_a0_))\n",
+      "<lambdifygenerated-122448>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(S2 + _a0_)**_a0_))\n",
+      "<lambdifygenerated-122449>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(S2 + _a0_)**_a0_))\n",
+      "<lambdifygenerated-122461>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(log(S1)**_a0_)\n",
+      "<lambdifygenerated-122462>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(log(S1)**_a0_)\n",
+      " 22%|██▏       | 334/1500 [00:21<01:10, 16.49it/s]<lambdifygenerated-122497>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(_a0_)**_a0_)\n",
+      "<lambdifygenerated-122498>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sqrt(cos(S1 + exp(S2*_a0_))))\n",
+      "<lambdifygenerated-122510>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-relu(_a0_)/(S1*_a0_))\n",
+      "<lambdifygenerated-122511>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-relu(_a0_)/(S1*_a0_))\n",
+      "<lambdifygenerated-122544>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(sin(S2))/sqrt(S1)\n",
+      "<lambdifygenerated-122545>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(sin(S2))/sqrt(S1)\n",
+      "<lambdifygenerated-122546>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(sin(S2))/sqrt(S1)\n",
+      " 22%|██▏       | 336/1500 [00:21<01:10, 16.62it/s]<lambdifygenerated-122561>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-122566>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(sinh(_a0_/S1))**_a0_))\n",
+      "<lambdifygenerated-122567>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(sinh(_a0_/S1))**_a0_))\n",
+      "<lambdifygenerated-122568>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(sinh(_a0_/S1))**_a0_))\n",
+      "<lambdifygenerated-122569>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(cos(S2)**_a0_)\n",
+      "<lambdifygenerated-122570>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(cos(S2)**_a0_)\n",
+      "<lambdifygenerated-122612>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(tanh(_a0_))**_a0_)\n",
+      "<lambdifygenerated-122613>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(tanh(_a0_))**_a0_)\n",
+      "<lambdifygenerated-122614>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(tanh(_a0_))**_a0_)\n",
+      " 23%|██▎       | 338/1500 [00:21<01:10, 16.51it/s]<lambdifygenerated-122627>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(S1*(S1 + S2)))\n",
+      "<lambdifygenerated-122628>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(S1*(S1 + S2)))\n",
+      "<lambdifygenerated-122629>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(S1*(S1 + S2)))\n",
+      "<lambdifygenerated-122632>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sin(_a0_)**abs(_a0_)/(S1 + _a0_)\n",
+      "<lambdifygenerated-122689>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(sin(_a0_))**_a0_)\n",
+      "<lambdifygenerated-122690>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(sin(_a0_))**_a0_)\n",
+      "<lambdifygenerated-122691>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(sin(_a0_))**_a0_)\n",
+      " 23%|██▎       | 340/1500 [00:21<01:12, 16.08it/s]<lambdifygenerated-122740>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(cos(S2)/S1)\n",
+      "<lambdifygenerated-122741>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(cos(S2)/S1)\n",
+      "<lambdifygenerated-122742>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-relu(S1 + _a0_)/(S1*_a0_))\n",
+      "<lambdifygenerated-122743>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-relu(S1 + _a0_)/(S1*_a0_))\n",
+      "<lambdifygenerated-122744>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-relu(S1 + _a0_)/(S1*_a0_))\n",
+      "<lambdifygenerated-122745>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (relu(relu(S2*_a0_))/tan(S1))**sig(relu(S1))\n",
+      "<lambdifygenerated-122746>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (relu(relu(S2*_a0_))/tan(S1))**sig(relu(S1))\n",
+      "<lambdifygenerated-122747>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (relu(relu(S2*_a0_))/tan(S1))**sig(relu(S1))\n",
+      "<lambdifygenerated-122754>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*_a0_**S1))\n",
+      "<lambdifygenerated-122755>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*_a0_**S1))\n",
+      "<lambdifygenerated-122761>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(_a0_**_a0_)\n",
+      " 23%|██▎       | 342/1500 [00:22<01:11, 16.17it/s]<lambdifygenerated-122779>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/S1**2)\n",
+      "<lambdifygenerated-122780>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/S1**2)\n",
+      "<lambdifygenerated-122785>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sin(S1)**_a0_\n",
+      "<lambdifygenerated-122787>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(S2)*sig(sig(S1))**(_a0_*exp(S2))\n",
+      "<lambdifygenerated-122790>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(_a0_)**_a0_))\n",
+      "<lambdifygenerated-122791>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(_a0_)**_a0_))\n",
+      "<lambdifygenerated-122808>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(S2 + _a0_)/sqrt(S1)\n",
+      "<lambdifygenerated-122840>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(S2*_a0_/S1)/sqrt(S1)\n",
+      "<lambdifygenerated-122843>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(cos(S1))\n",
+      "<lambdifygenerated-122844>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(cos(S1))\n",
+      " 23%|██▎       | 344/1500 [00:22<01:28, 13.07it/s]<lambdifygenerated-122852>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S2 + _a0_)**_a0_\n",
+      "<lambdifygenerated-122853>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S2 + _a0_)**_a0_\n",
+      "<lambdifygenerated-122854>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S2 + _a0_)**_a0_\n",
+      "<lambdifygenerated-122872>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(_a0_)**_a0_\n",
+      "<lambdifygenerated-122873>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(_a0_)**_a0_\n",
+      "<lambdifygenerated-122892>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(_a0_)**_a0_))\n",
+      "<lambdifygenerated-122893>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(_a0_)**_a0_))\n",
+      " 23%|██▎       | 346/1500 [00:22<01:22, 14.00it/s]<lambdifygenerated-122923>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return tan(S2)**abs(_a0_)/(S1 + _a0_)\n",
+      "<lambdifygenerated-122924>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return tan(S2)**abs(_a0_)/(S1 + _a0_)\n",
+      "<lambdifygenerated-122925>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return tan(S2)**abs(_a0_)/(S1 + _a0_)\n",
+      "<lambdifygenerated-122939>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(S2/_a0_)/sqrt(S2*cos(S1))\n",
+      "<lambdifygenerated-122940>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(S2/_a0_)/sqrt(S2*cos(S1))\n",
+      "<lambdifygenerated-122941>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(S2/_a0_)/sqrt(S2*cos(S1))\n",
+      "<lambdifygenerated-122942>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-sig(_a0_)/S1)/S1\n",
+      "<lambdifygenerated-122943>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-sig(_a0_)/S1)/S1\n",
+      "<lambdifygenerated-122950>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-_a0_)\n",
+      "<lambdifygenerated-122951>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-_a0_)\n",
+      "<lambdifygenerated-122952>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-_a0_)\n",
+      "<lambdifygenerated-122957>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(cos(S2))\n",
+      "<lambdifygenerated-122958>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(cos(S2))\n",
+      "<lambdifygenerated-122987>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(sinh(S1))**_a0_\n",
+      "<lambdifygenerated-122992>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return (_a0_ + _a0_**_a0_)/S1**(3/2)\n",
+      "<lambdifygenerated-122993>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return (_a0_ + _a0_**_a0_)/S1**(3/2)\n",
+      "<lambdifygenerated-122994>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return (_a0_ + _a0_**_a0_)/S1**(3/2)\n",
+      " 23%|██▎       | 348/1500 [00:22<01:19, 14.51it/s]<lambdifygenerated-123006>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(relu(S2*sig(log(_a0_))**S1))\n",
+      "<lambdifygenerated-123007>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(relu(S2*sig(log(_a0_))**S1))\n",
+      "<lambdifygenerated-123008>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(relu(S2*sig(log(_a0_))**S1))\n",
+      "<lambdifygenerated-123018>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(_a0_/S1)**_a0_)\n",
+      "<lambdifygenerated-123019>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(_a0_/S1)**_a0_)\n",
+      "<lambdifygenerated-123020>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(_a0_/S1)**_a0_)\n",
+      "<lambdifygenerated-123052>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sin(S1)**_a0_)\n",
+      "<lambdifygenerated-123053>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sin(S1)**_a0_)\n",
+      "<lambdifygenerated-123055>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return S1**(_a0_**_a0_)\n",
+      "<lambdifygenerated-123056>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return S1**(_a0_**_a0_)\n",
+      " 23%|██▎       | 350/1500 [00:22<01:14, 15.51it/s]<lambdifygenerated-123077>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(sinh(cos(S2)))**_a0_))\n",
+      "<lambdifygenerated-123078>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(sinh(cos(S2)))**_a0_))\n",
+      "<lambdifygenerated-123079>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(sinh(cos(S2)))**_a0_))\n",
+      " 23%|██▎       | 352/1500 [00:22<01:11, 15.99it/s]<lambdifygenerated-123146>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return relu(sinh(S1**S1)**_a0_)\n",
+      "<lambdifygenerated-123147>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return relu(sinh(S1**S1)**_a0_)\n",
+      "<lambdifygenerated-123162>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(log(S2)/S1)\n",
+      "<lambdifygenerated-123163>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(log(S2)/S1)\n",
+      "<lambdifygenerated-123165>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(-(relu(S2)/_a0_)**S1)\n",
+      " 24%|██▎       | 354/1500 [00:22<01:08, 16.79it/s]<lambdifygenerated-123201>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S2/_a0_)**_a0_\n",
+      "<lambdifygenerated-123202>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S2/_a0_)**_a0_\n",
+      "<lambdifygenerated-123203>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S2/_a0_)**_a0_\n",
+      "<lambdifygenerated-123221>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(exp(cos(S1 + exp(S2*S2**S2))))\n",
+      "<lambdifygenerated-123221>:2: RuntimeWarning: invalid value encountered in cos\n",
+      "  return relu(exp(cos(S1 + exp(S2*S2**S2))))\n",
+      "<lambdifygenerated-123222>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(exp(cos(S1 + exp(S2*S2**S2))))\n",
+      "<lambdifygenerated-123222>:2: RuntimeWarning: invalid value encountered in cos\n",
+      "  return relu(exp(cos(S1 + exp(S2*S2**S2))))\n",
+      "<lambdifygenerated-123223>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(exp(cos(S1 + exp(S2*S2**S2))))\n",
+      "<lambdifygenerated-123223>:2: RuntimeWarning: invalid value encountered in cos\n",
+      "  return relu(exp(cos(S1 + exp(S2*S2**S2))))\n",
+      "<lambdifygenerated-123230>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(-(relu(S2)/_a0_)**S1)\n",
+      " 24%|██▎       | 356/1500 [00:22<01:08, 16.81it/s]<lambdifygenerated-123296>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(sinh(relu(S2)/(S1*_a0_)))\n",
+      "<lambdifygenerated-123297>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(sinh(relu(S2)/(S1*_a0_)))\n",
+      "<lambdifygenerated-123309>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu(relu(sinh(S1))**(_a0_**_a0_)))\n",
+      "<lambdifygenerated-123310>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu(relu(sinh(S1))**(_a0_**_a0_)))\n",
+      "<lambdifygenerated-123311>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu(relu(sinh(S1))**(_a0_**_a0_)))\n",
+      "<lambdifygenerated-123312>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(_a0_))\n",
+      "<lambdifygenerated-123313>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(_a0_))\n",
+      "<lambdifygenerated-123329>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(exp(cos(exp(S2*_a0_) + log(_a0_))))\n",
+      "<lambdifygenerated-123330>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(exp(cos(exp(S2*_a0_) + log(_a0_))))\n",
+      "<lambdifygenerated-123331>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(exp(cos(exp(S2*_a0_) + log(_a0_))))\n",
+      " 24%|██▍       | 358/1500 [00:23<01:10, 16.27it/s]<lambdifygenerated-123336>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(-relu(S2)/(S1*_a0_))**S1\n",
+      "<lambdifygenerated-123340>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return S2**(S2**S1)/(S1 + _a0_)\n",
+      "<lambdifygenerated-123341>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return S2**(S2**S1)/(S1 + _a0_)\n",
+      "<lambdifygenerated-123342>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return S2**(S2**S1)/(S1 + _a0_)\n",
+      "<lambdifygenerated-123349>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(2*_a0_)**_a0_))\n",
+      "<lambdifygenerated-123350>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(2*_a0_)**_a0_))\n",
+      "<lambdifygenerated-123372>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-(S2 + _a0_)/(S1*_a0_))\n",
+      "<lambdifygenerated-123373>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-(S2 + _a0_)/(S1*_a0_))\n",
+      "<lambdifygenerated-123374>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-(S2 + _a0_)/(S1*_a0_))\n",
+      "<lambdifygenerated-123411>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(sin(S1))\n",
+      "<lambdifygenerated-123412>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(sin(S1))\n",
+      "<lambdifygenerated-123413>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(sin(S1))\n",
+      " 24%|██▍       | 360/1500 [00:23<01:10, 16.16it/s]<lambdifygenerated-123415>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S2*relu(S2)/_a0_**2)\n",
+      "<lambdifygenerated-123416>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S2*relu(S2)/_a0_**2)\n",
+      "<lambdifygenerated-123417>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S2*relu(S2)/_a0_**2)\n",
+      "<lambdifygenerated-123423>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return (2*_a0_)**_a0_\n",
+      "<lambdifygenerated-123424>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return (2*_a0_)**_a0_\n",
+      "<lambdifygenerated-123478>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(sin(S2)/S1)\n",
+      "<lambdifygenerated-123479>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(sin(S2)/S1)\n",
+      "<lambdifygenerated-123480>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(sin(S2)/S1)\n",
+      " 24%|██▍       | 362/1500 [00:23<01:09, 16.27it/s]<lambdifygenerated-123505>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_**S1 + sin(S2**_a0_))*exp(-S1)\n",
+      "<lambdifygenerated-123526>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(exp(cos(S1 + sqrt(S2*_a0_))))\n",
+      "<lambdifygenerated-123529>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(log(S2))\n",
+      "<lambdifygenerated-123530>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(log(S2))\n",
+      "<lambdifygenerated-123531>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(-(relu(S2)/_a0_)**S1)\n",
+      "<lambdifygenerated-123533>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return S2**abs(S2**S1)/(S1 + _a0_)\n",
+      "<lambdifygenerated-123534>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return S2**abs(S2**S1)/(S1 + _a0_)\n",
+      "<lambdifygenerated-123535>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return S2**abs(S2**S1)/(S1 + _a0_)\n",
+      "<lambdifygenerated-123547>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(S2/_a0_)/sqrt(cos(S2))\n",
+      "<lambdifygenerated-123548>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(S2/_a0_)/sqrt(cos(S2))\n",
+      "<lambdifygenerated-123549>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(S2/_a0_)/sqrt(cos(S2))\n",
+      "<lambdifygenerated-123557>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(S2*_a0_)/sin(S1)\n",
+      "<lambdifygenerated-123559>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(log(_a0_)/S1)\n",
+      "<lambdifygenerated-123560>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(log(_a0_)/S1)\n",
+      " 24%|██▍       | 364/1500 [00:23<01:07, 16.73it/s]<lambdifygenerated-123562>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(tanh(S2))/(S1*_a0_))\n",
+      "<lambdifygenerated-123570>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu(S2*(_a0_**_a0_)**S1))\n",
+      "<lambdifygenerated-123571>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu(S2*(_a0_**_a0_)**S1))\n",
+      "<lambdifygenerated-123572>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu(S2*(_a0_**_a0_)**S1))\n",
+      "<lambdifygenerated-123619>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(sinh(relu(_a0_)))**_a0_))\n",
+      "<lambdifygenerated-123620>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(sinh(relu(_a0_)))**_a0_))\n",
+      "<lambdifygenerated-123621>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu((S2/_a0_)**_a0_)\n",
+      "<lambdifygenerated-123622>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu((S2/_a0_)**_a0_)\n",
+      " 24%|██▍       | 366/1500 [00:23<01:08, 16.50it/s]<lambdifygenerated-123651>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sin(S1)**_a0_)\n",
+      "<lambdifygenerated-123667>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(S1*S2*_a0_))\n",
+      "<lambdifygenerated-123697>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(exp(cos(S1 + exp(S1**S1*S2))))\n",
+      "<lambdifygenerated-123697>:2: RuntimeWarning: invalid value encountered in cos\n",
+      "  return relu(exp(cos(S1 + exp(S1**S1*S2))))\n",
+      "<lambdifygenerated-123698>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(exp(cos(S1 + exp(S1**S1*S2))))\n",
+      "<lambdifygenerated-123698>:2: RuntimeWarning: invalid value encountered in cos\n",
+      "  return relu(exp(cos(S1 + exp(S1**S1*S2))))\n",
+      "<lambdifygenerated-123699>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(exp(cos(S1 + exp(S1**S1*S2))))\n",
+      "<lambdifygenerated-123699>:2: RuntimeWarning: invalid value encountered in cos\n",
+      "  return relu(exp(cos(S1 + exp(S1**S1*S2))))\n",
+      " 25%|██▍       | 368/1500 [00:23<01:10, 16.15it/s]<lambdifygenerated-123728>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-123729>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-123730>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(S2/cos(S2))\n",
+      "<lambdifygenerated-123731>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(S2/cos(S2))\n",
+      "<lambdifygenerated-123732>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(S2/cos(S2))\n",
+      "<lambdifygenerated-123747>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-cos(S2)/(S1*_a0_))\n",
+      "<lambdifygenerated-123748>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-cos(S2)/(S1*_a0_))\n",
+      " 25%|██▍       | 370/1500 [00:23<01:10, 16.05it/s]<lambdifygenerated-123794>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu((_a0_/S2)**_a0_)\n",
+      "<lambdifygenerated-123795>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu((_a0_/S2)**_a0_)\n",
+      "<lambdifygenerated-123829>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(_a0_**_a0_)\n",
+      "<lambdifygenerated-123830>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(_a0_**_a0_)\n",
+      " 25%|██▍       | 372/1500 [00:23<01:10, 16.10it/s]<lambdifygenerated-123865>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(sinh(_a0_))**_a0_))\n",
+      "<lambdifygenerated-123866>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(sinh(_a0_))**_a0_))\n",
+      "<lambdifygenerated-123883>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return log(-_a0_**_a0_/(S1*_a0_))\n",
+      "<lambdifygenerated-123884>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return log(-_a0_**_a0_/(S1*_a0_))\n",
+      "<lambdifygenerated-123897>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(-S1)**_a0_))\n",
+      " 25%|██▍       | 374/1500 [00:24<01:41, 11.07it/s]<lambdifygenerated-123917>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/_a0_**2)\n",
+      "<lambdifygenerated-123918>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/_a0_**2)\n",
+      "<lambdifygenerated-123959>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-S2)\n",
+      "<lambdifygenerated-123960>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-S2)\n",
+      "<lambdifygenerated-123962>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(-(relu(S2)/_a0_)**S1)\n",
+      "<lambdifygenerated-123986>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return _a0_**(sqrt(S1))/S1**(3/2)\n",
+      "<lambdifygenerated-123987>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return _a0_**(sqrt(S1))/S1**(3/2)\n",
+      "<lambdifygenerated-123988>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(S2*_a0_) + exp(S1)\n",
+      " 25%|██▌       | 376/1500 [00:24<01:32, 12.09it/s]<lambdifygenerated-123993>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(S1*tan(S2)))\n",
+      "<lambdifygenerated-123994>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(S1*tan(S2)))\n",
+      "<lambdifygenerated-123995>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(S1*tan(S2)))\n",
+      "<lambdifygenerated-124018>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return exp(-_a0_/(S1*S2))/S1\n",
+      "<lambdifygenerated-124019>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return exp(-_a0_/(S1*S2))/S1\n",
+      "<lambdifygenerated-124020>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return exp(-_a0_/(S1*S2))/S1\n",
+      "<lambdifygenerated-124025>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return (_a0_ + _a0_**_a0_)/S1**(3/2)\n",
+      "<lambdifygenerated-124026>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return (_a0_ + _a0_**_a0_)/S1**(3/2)\n",
+      "<lambdifygenerated-124039>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu(S2*sig(_a0_)**(_a0_**_a0_)))\n",
+      "<lambdifygenerated-124040>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu(S2*sig(_a0_)**(_a0_**_a0_)))\n",
+      "<lambdifygenerated-124041>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu(S2*sig(_a0_)**(_a0_**_a0_)))\n",
+      "<lambdifygenerated-124062>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return S1*sqrt(S2*_a0_)/S2\n",
+      " 25%|██▌       | 378/1500 [00:24<01:25, 13.05it/s]<lambdifygenerated-124066>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(_a0_*sin(_a0_)))\n",
+      "<lambdifygenerated-124067>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(_a0_*sin(_a0_)))\n",
+      "<lambdifygenerated-124068>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(_a0_*sin(_a0_)))\n",
+      "<lambdifygenerated-124111>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return _a0_**abs(_a0_)/(S1 + _a0_)\n",
+      "<lambdifygenerated-124138>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (sqrt(S1) + _a0_)/(S1*sqrt(_a0_))\n",
+      "<lambdifygenerated-124139>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (sqrt(S1) + _a0_)/(S1*sqrt(_a0_))\n",
+      " 25%|██▌       | 380/1500 [00:24<01:20, 13.87it/s]<lambdifygenerated-124176>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(log(S2))\n",
+      "<lambdifygenerated-124177>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(log(S2))\n",
+      "<lambdifygenerated-124191>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return exp(-S1)*sin(S2**_a0_)**S2\n",
+      "<lambdifygenerated-124192>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return exp(-S1)*sin(S2**_a0_)**S2\n",
+      "<lambdifygenerated-124193>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sqrt(_a0_))\n",
+      "<lambdifygenerated-124194>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sqrt(_a0_))\n",
+      "<lambdifygenerated-124195>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sqrt(_a0_))\n",
+      "<lambdifygenerated-124200>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(S2/_a0_)/sqrt(S1*S2)\n",
+      " 25%|██▌       | 382/1500 [00:24<01:16, 14.53it/s]<lambdifygenerated-124214>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(log(S2)/S1)\n",
+      "<lambdifygenerated-124215>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(log(S2)/S1)\n",
+      "<lambdifygenerated-124221>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sinh(S1)**log(_a0_)\n",
+      "<lambdifygenerated-124222>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sinh(S1)**log(_a0_)\n",
+      "<lambdifygenerated-124223>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sinh(S1)**log(_a0_)\n",
+      "<lambdifygenerated-124231>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(tan(sinh(S1))**_a0_))\n",
+      "<lambdifygenerated-124232>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(tan(sinh(S1))**_a0_))\n",
+      "<lambdifygenerated-124237>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-sig(_a0_)/S1)/S1\n",
+      "<lambdifygenerated-124242>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sin(sinh(S1))**_a0_\n",
+      "<lambdifygenerated-124243>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sin(sinh(S1))**_a0_\n",
+      "<lambdifygenerated-124244>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return S1**(-S1)*sqrt(S2*_a0_)\n",
+      "<lambdifygenerated-124249>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S2**(-S2)*relu(S2)/S1)\n",
+      "<lambdifygenerated-124250>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S2**(-S2)*relu(S2)/S1)\n",
+      "<lambdifygenerated-124251>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S2**(-S2)*relu(S2)/S1)\n",
+      "<lambdifygenerated-124272>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return exp(-_a0_**_a0_/S1)/S1\n",
+      "<lambdifygenerated-124273>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return exp(-_a0_**_a0_/S1)/S1\n",
+      "<lambdifygenerated-124274>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return exp(-_a0_**_a0_/S1)/S1\n",
+      "<lambdifygenerated-124280>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(sinh(S1))**_a0_\n",
+      " 26%|██▌       | 384/1500 [00:24<01:13, 15.10it/s]<lambdifygenerated-124283>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(relu(S2)/(S2*_a0_))\n",
+      "<lambdifygenerated-124284>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(relu(S2)/(S2*_a0_))\n",
+      "<lambdifygenerated-124285>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(relu(S2)/(S2*_a0_))\n",
+      "<lambdifygenerated-124299>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(S2/_a0_)/sqrt(-S1*_a0_)\n",
+      "<lambdifygenerated-124300>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(S2/_a0_)/sqrt(-S1*_a0_)\n",
+      "<lambdifygenerated-124301>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(S2/_a0_)/sqrt(-S1*_a0_)\n",
+      "<lambdifygenerated-124317>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-relu(_a0_)/(S1*_a0_))\n",
+      "<lambdifygenerated-124326>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S2/_a0_)**_a0_\n",
+      "<lambdifygenerated-124327>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S2/_a0_)**_a0_\n",
+      "<lambdifygenerated-124349>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(S1))**(_a0_**_a0_)\n",
+      "<lambdifygenerated-124350>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(S1))**(_a0_**_a0_)\n",
+      " 26%|██▌       | 386/1500 [00:25<01:14, 15.03it/s]<lambdifygenerated-124370>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(S2)**_a0_\n",
+      "<lambdifygenerated-124371>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(S2)**_a0_\n",
+      "<lambdifygenerated-124372>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(S2)**_a0_\n",
+      "<lambdifygenerated-124375>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(_a0_**_a0_)\n",
+      "<lambdifygenerated-124376>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(_a0_**_a0_)\n",
+      "<lambdifygenerated-124379>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(sinh(sin(S2)))**_a0_))\n",
+      "<lambdifygenerated-124380>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(sinh(sin(S2)))**_a0_))\n",
+      "<lambdifygenerated-124381>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(sinh(sin(S2)))**_a0_))\n",
+      "<lambdifygenerated-124403>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(S1*fac(S2)))\n",
+      "<lambdifygenerated-124404>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(S1*fac(S2)))\n",
+      "<lambdifygenerated-124405>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(S1*fac(S2)))\n",
+      "<lambdifygenerated-124417>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(_a0_)**_a0_\n",
+      "<lambdifygenerated-124418>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(_a0_)**_a0_\n",
+      "<lambdifygenerated-124419>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(_a0_)**_a0_\n",
+      "<lambdifygenerated-124436>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(_a0_*sinh(S2))*exp(-S1)\n",
+      " 26%|██▌       | 388/1500 [00:25<01:16, 14.58it/s]<lambdifygenerated-124449>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return exp(-S1)*sin(S2**_a0_)**S2\n",
+      "<lambdifygenerated-124470>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(S2*_a0_)*exp(-S1 - _a0_)\n",
+      "<lambdifygenerated-124477>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-relu(log(S2))/(S1*_a0_))\n",
+      "<lambdifygenerated-124478>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-relu(log(S2))/(S1*_a0_))\n",
+      "<lambdifygenerated-124479>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-relu(log(S2))/(S1*_a0_))\n",
+      " 26%|██▌       | 390/1500 [00:25<01:14, 14.90it/s]<lambdifygenerated-124534>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2/_a0_)**_a0_\n",
+      "<lambdifygenerated-124535>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2/_a0_)**_a0_\n",
+      "<lambdifygenerated-124549>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-1/S1)\n",
+      "<lambdifygenerated-124550>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-1/S1)\n",
+      "<lambdifygenerated-124562>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2/_a0_)**_a0_\n",
+      "<lambdifygenerated-124563>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2/_a0_)**_a0_\n",
+      "<lambdifygenerated-124570>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(S2 + _a0_)**_a0_))\n",
+      "<lambdifygenerated-124571>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(S2 + _a0_)**_a0_))\n",
+      "<lambdifygenerated-124582>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return (sqrt(S1) + _a0_)/(S1*sqrt(relu(_a0_)))\n",
+      "<lambdifygenerated-124583>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return (sqrt(S1) + _a0_)/(S1*sqrt(relu(_a0_)))\n",
+      "<lambdifygenerated-124584>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return (sqrt(S1) + _a0_)/(S1*sqrt(relu(_a0_)))\n",
+      "<lambdifygenerated-124587>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return S1 + sqrt(_a0_/S1)\n",
+      " 26%|██▌       | 392/1500 [00:25<01:16, 14.52it/s]<lambdifygenerated-124595>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*tanh(_a0_)**S1))\n",
+      "<lambdifygenerated-124596>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*tanh(_a0_)**S1))\n",
+      "<lambdifygenerated-124611>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(S2/tan(S2))\n",
+      "<lambdifygenerated-124612>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(S2/tan(S2))\n",
+      "<lambdifygenerated-124614>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(_a0_)**_a0_\n",
+      "<lambdifygenerated-124615>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(_a0_)**_a0_\n",
+      "<lambdifygenerated-124618>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_ + _a0_**S1)/S1**(3/2)\n",
+      "<lambdifygenerated-124619>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_ + _a0_**S1)/S1**(3/2)\n",
+      "<lambdifygenerated-124620>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_ + _a0_**S1)/S1**(3/2)\n",
+      "<lambdifygenerated-124635>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sinh(S1)**(sqrt(_a0_))\n",
+      "<lambdifygenerated-124636>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sinh(S1)**(sqrt(_a0_))\n",
+      "<lambdifygenerated-124637>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sinh(S1)**(sqrt(_a0_))\n",
+      "<lambdifygenerated-124654>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (sqrt(S1) + _a0_)/(S1*sqrt(sin(_a0_)))\n",
+      "<lambdifygenerated-124655>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (sqrt(S1) + _a0_)/(S1*sqrt(sin(_a0_)))\n",
+      "<lambdifygenerated-124656>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (sqrt(S1) + _a0_)/(S1*sqrt(sin(_a0_)))\n",
+      " 26%|██▋       | 394/1500 [00:25<01:12, 15.36it/s]<lambdifygenerated-124661>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-1/S1)\n",
+      "<lambdifygenerated-124662>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-1/S1)\n",
+      "<lambdifygenerated-124671>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2 + _a0_)**_a0_\n",
+      "<lambdifygenerated-124672>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2 + _a0_)**_a0_\n",
+      "<lambdifygenerated-124679>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu((S1*_a0_)**_a0_)\n",
+      "<lambdifygenerated-124680>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu((S1*_a0_)**_a0_)\n",
+      "<lambdifygenerated-124681>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu((S1*_a0_)**_a0_)\n",
+      "<lambdifygenerated-124698>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return S2*sqrt(S2*_a0_)*exp(-S1)\n",
+      "<lambdifygenerated-124720>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(cos(S2))**_a0_)\n",
+      "<lambdifygenerated-124721>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(cos(S2))**_a0_)\n",
+      "<lambdifygenerated-124730>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sinh(sqrt(_a0_)))**_a0_\n",
+      "<lambdifygenerated-124731>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sinh(sqrt(_a0_)))**_a0_\n",
+      "<lambdifygenerated-124735>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(S2*_a0_)*exp(-_a0_)\n",
+      " 26%|██▋       | 396/1500 [00:25<01:13, 15.04it/s]<lambdifygenerated-124738>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/S2)\n",
+      "<lambdifygenerated-124739>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/S2)\n",
+      "<lambdifygenerated-124762>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(2*_a0_)**_a0_))\n",
+      "<lambdifygenerated-124763>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(2*_a0_)**_a0_))\n",
+      "<lambdifygenerated-124795>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sin(sinh(S1))**_a0_\n",
+      "<lambdifygenerated-124796>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(exp(cos(S1 + exp(S2*_a0_*_a0_**(2*S2)))))\n",
+      "<lambdifygenerated-124797>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(exp(cos(S1 + exp(S2*_a0_*_a0_**(2*S2)))))\n",
+      "<lambdifygenerated-124798>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(exp(cos(S1 + exp(S2*_a0_*_a0_**(2*S2)))))\n",
+      "<lambdifygenerated-124799>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return exp(-S1)*sqrt(cos(S1))\n",
+      "<lambdifygenerated-124800>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return exp(-S1)*sqrt(cos(S1))\n",
+      "<lambdifygenerated-124801>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return exp(-S1)*sqrt(cos(S1))\n",
+      " 27%|██▋       | 398/1500 [00:25<01:08, 16.01it/s]<lambdifygenerated-124807>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (relu(relu(S2*_a0_))/tan(S2))**sig(S1**2)\n",
+      "<lambdifygenerated-124808>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (relu(relu(S2*_a0_))/tan(S2))**sig(S1**2)\n",
+      "<lambdifygenerated-124809>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (relu(relu(S2*_a0_))/tan(S2))**sig(S1**2)\n",
+      "<lambdifygenerated-124820>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(S2/_a0_)/sqrt(tan(S2))\n",
+      "<lambdifygenerated-124821>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(S2/_a0_)/sqrt(tan(S2))\n",
+      "<lambdifygenerated-124830>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(sinh(_a0_))**_a0_\n",
+      "<lambdifygenerated-124848>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      " 27%|██▋       | 400/1500 [00:25<01:08, 15.96it/s]<lambdifygenerated-124873>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S1**(-_a0_)*relu(S2)/S1)\n",
+      "<lambdifygenerated-124874>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S1**(-_a0_)*relu(S2)/S1)\n",
+      "<lambdifygenerated-124875>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S1**(-_a0_)*relu(S2)/S1)\n",
+      "<lambdifygenerated-124891>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return (_a0_**3)**_a0_\n",
+      "<lambdifygenerated-124892>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return (_a0_**3)**_a0_\n",
+      "<lambdifygenerated-124906>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(sin(S1))\n",
+      "<lambdifygenerated-124907>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(sin(S1))\n",
+      " 27%|██▋       | 402/1500 [00:26<01:10, 15.62it/s]<lambdifygenerated-124954>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*(S1 + _a0_)**S1))\n",
+      "<lambdifygenerated-124955>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*(S1 + _a0_)**S1))\n",
+      "<lambdifygenerated-124960>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(sinh(S1)**(S1**S1))\n",
+      "<lambdifygenerated-124961>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(sinh(S1)**(S1**S1))\n",
+      "<lambdifygenerated-124962>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(sinh(S1)**(S1**S1))\n",
+      "<lambdifygenerated-124966>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(log(S1)/S1)\n",
+      "<lambdifygenerated-124967>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(log(S1)/S1)\n",
+      "<lambdifygenerated-124978>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(S2*_a0_)*exp(-S1)/S1\n",
+      "<lambdifygenerated-124982>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/_a0_**2)\n",
+      "<lambdifygenerated-124996>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(_a0_)**_a0_)\n",
+      "<lambdifygenerated-125007>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sinh(sqrt(_a0_)))**_a0_\n",
+      "<lambdifygenerated-125008>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sinh(sqrt(_a0_)))**_a0_\n",
+      " 27%|██▋       | 404/1500 [00:26<01:09, 15.86it/s]<lambdifygenerated-125019>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)**_a0_/S1)\n",
+      "<lambdifygenerated-125023>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*(_a0_**2)**(_a0_**S2)))\n",
+      "<lambdifygenerated-125024>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*(_a0_**2)**(_a0_**S2)))\n",
+      "<lambdifygenerated-125025>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*(_a0_**2)**(_a0_**S2)))\n",
+      "<lambdifygenerated-125041>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-relu(_a0_)/(S1*_a0_))\n",
+      "<lambdifygenerated-125066>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sin(S1))**_a0_\n",
+      "<lambdifygenerated-125071>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)**_a0_/S1)\n",
+      " 27%|██▋       | 407/1500 [00:26<01:02, 17.37it/s]<lambdifygenerated-125110>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S2**(-S2)*relu(S2)/_a0_)\n",
+      "<lambdifygenerated-125131>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(log(S1))**_a0_\n",
+      "<lambdifygenerated-125137>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (sqrt(S1) + _a0_)**(S1**(3/2))\n",
+      "<lambdifygenerated-125141>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return S2**(S2**S1)/(S1 + _a0_)\n",
+      "<lambdifygenerated-125142>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return S2**(S2**S1)/(S1 + _a0_)\n",
+      "<lambdifygenerated-125152>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(S1)**(_a0_**S2))\n",
+      "<lambdifygenerated-125153>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(S1)**(_a0_**S2))\n",
+      "<lambdifygenerated-125154>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(S1)**(_a0_**S2))\n",
+      "<lambdifygenerated-125162>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(_a0_)**_a0_))\n",
+      "<lambdifygenerated-125163>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(_a0_)**_a0_))\n",
+      "<lambdifygenerated-125164>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(sinh(_a0_))**_a0_\n",
+      " 27%|██▋       | 409/1500 [00:26<01:02, 17.47it/s]<lambdifygenerated-125175>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-relu(tan(_a0_))/(S1*_a0_))\n",
+      "<lambdifygenerated-125176>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-relu(tan(_a0_))/(S1*_a0_))\n",
+      "<lambdifygenerated-125177>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-relu(tan(_a0_))/(S1*_a0_))\n",
+      "<lambdifygenerated-125190>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(log(S1)**_a0_)\n",
+      "<lambdifygenerated-125213>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (S2 + sin(sqrt(_a0_)))*exp(-S1)\n",
+      "<lambdifygenerated-125222>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(S2/_a0_)/sqrt(S1*cos(S2)))\n",
+      "<lambdifygenerated-125223>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(S2/_a0_)/sqrt(S1*cos(S2)))\n",
+      "<lambdifygenerated-125224>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(S2/_a0_)/sqrt(S1*cos(S2)))\n",
+      "<lambdifygenerated-125232>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-_a0_/S2)\n",
+      "<lambdifygenerated-125233>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-_a0_/S2)\n",
+      "<lambdifygenerated-125234>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-_a0_/S2)\n",
+      " 27%|██▋       | 411/1500 [00:26<01:00, 17.88it/s]<lambdifygenerated-125237>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/_a0_**2)\n",
+      "<lambdifygenerated-125244>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(sin(S1))**_a0_\n",
+      "<lambdifygenerated-125245>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(sin(S1))**_a0_\n",
+      "<lambdifygenerated-125246>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(sin(S1))**_a0_\n",
+      "<lambdifygenerated-125253>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-125254>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-125271>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-1/_a0_**2)\n",
+      "<lambdifygenerated-125272>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-1/_a0_**2)\n",
+      "<lambdifygenerated-125273>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-1/_a0_**2)\n",
+      "<lambdifygenerated-125277>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(tan(S1))**_a0_\n",
+      "<lambdifygenerated-125278>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(tan(S1))**_a0_\n",
+      "<lambdifygenerated-125279>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(tan(S1))**_a0_\n",
+      "<lambdifygenerated-125304>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(tan(S2))\n",
+      "<lambdifygenerated-125305>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(tan(S2))\n",
+      " 28%|██▊       | 413/1500 [00:26<01:01, 17.66it/s]<lambdifygenerated-125323>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(sin(S2)))**_a0_\n",
+      "<lambdifygenerated-125324>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(sin(S2)))**_a0_\n",
+      "<lambdifygenerated-125331>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(sinh(relu(S2)/(S1*_a0_)))\n",
+      "<lambdifygenerated-125346>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(sinh(S1)**(S2**S1))\n",
+      "<lambdifygenerated-125347>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(sinh(S1)**(S2**S1))\n",
+      "<lambdifygenerated-125348>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(sinh(S1)**(S2**S1))\n",
+      "<lambdifygenerated-125365>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (sqrt(S1) + _a0_)/(S1*sqrt(_a0_))\n",
+      " 28%|██▊       | 415/1500 [00:26<01:03, 17.10it/s]<lambdifygenerated-125373>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-(_a0_ + relu(S2))/S1)\n",
+      "<lambdifygenerated-125375>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (relu(relu(S2/_a0_))/sin(_a0_))**sig(S1**2)\n",
+      "<lambdifygenerated-125376>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (relu(relu(S2/_a0_))/sin(_a0_))**sig(S1**2)\n",
+      "<lambdifygenerated-125377>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (relu(relu(S2/_a0_))/sin(_a0_))**sig(S1**2)\n",
+      "<lambdifygenerated-125384>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(sinh(log(_a0_))**_a0_)\n",
+      "<lambdifygenerated-125385>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(sinh(log(_a0_))**_a0_)\n",
+      "<lambdifygenerated-125386>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(sinh(log(_a0_))**_a0_)\n",
+      "<lambdifygenerated-125392>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(relu(_a0_**S2)**_a0_))\n",
+      "<lambdifygenerated-125392>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(_a0_**S2)**_a0_))\n",
+      "<lambdifygenerated-125393>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(relu(_a0_**S2)**_a0_))\n",
+      "<lambdifygenerated-125393>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(_a0_**S2)**_a0_))\n",
+      "<lambdifygenerated-125400>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(S2*_a0_)**_a0_\n",
+      "<lambdifygenerated-125401>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(S2*_a0_)**_a0_\n",
+      "<lambdifygenerated-125402>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(S2*_a0_)**_a0_\n",
+      "<lambdifygenerated-125403>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(S2*_a0_)/(S1*S2)\n",
+      "<lambdifygenerated-125408>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-1/(S1*_a0_))\n",
+      "<lambdifygenerated-125414>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return exp(-S1)*sin(S2**_a0_)**S2\n",
+      "<lambdifygenerated-125423>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(S2/_a0_)**_a0_)\n",
+      "<lambdifygenerated-125424>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(S2/_a0_)**_a0_)\n",
+      "<lambdifygenerated-125425>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(S2/_a0_)**_a0_)\n",
+      "<lambdifygenerated-125441>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(S2*_a0_)\n",
+      " 28%|██▊       | 417/1500 [00:26<01:05, 16.59it/s]<lambdifygenerated-125480>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(S2*_a0_)/S1**2\n",
+      "<lambdifygenerated-125483>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-sig(S2)/_a0_)\n",
+      "<lambdifygenerated-125484>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-sig(S2)/_a0_)\n",
+      "<lambdifygenerated-125485>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-sig(S2)/_a0_)\n",
+      "<lambdifygenerated-125504>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(S2/_a0_)**_a0_))\n",
+      "<lambdifygenerated-125505>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(S2/_a0_)**_a0_))\n",
+      "<lambdifygenerated-125512>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (sqrt(_a0_) + _a0_)/S1**(3/2)\n",
+      "<lambdifygenerated-125513>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (sqrt(_a0_) + _a0_)/S1**(3/2)\n",
+      " 28%|██▊       | 419/1500 [00:27<01:04, 16.66it/s]<lambdifygenerated-125533>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu((_a0_/S2)**_a0_)\n",
+      "<lambdifygenerated-125534>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu((_a0_/S2)**_a0_)\n",
+      "<lambdifygenerated-125554>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-relu(_a0_)/(S1*_a0_))\n",
+      "<lambdifygenerated-125576>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(_a0_/S2))**_a0_\n",
+      "<lambdifygenerated-125577>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(_a0_/S2))**_a0_\n",
+      " 28%|██▊       | 421/1500 [00:27<01:05, 16.39it/s]<lambdifygenerated-125587>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S1**(-_a0_)*relu(S2)/S1)\n",
+      "<lambdifygenerated-125588>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S1**(-_a0_)*relu(S2)/S1)\n",
+      "<lambdifygenerated-125605>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(_a0_**_a0_)\n",
+      "<lambdifygenerated-125606>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(_a0_**_a0_)\n",
+      "<lambdifygenerated-125610>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return _a0_**(S2/_a0_)\n",
+      "<lambdifygenerated-125611>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return _a0_**(S2/_a0_)\n",
+      "<lambdifygenerated-125634>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(S1)**(_a0_**_a0_)\n",
+      "<lambdifygenerated-125635>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(S1)**(_a0_**_a0_)\n",
+      "<lambdifygenerated-125636>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(S1)**(_a0_**_a0_)\n",
+      "<lambdifygenerated-125644>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(sin(S2))**_a0_)\n",
+      "<lambdifygenerated-125645>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(sin(S2))**_a0_)\n",
+      "<lambdifygenerated-125646>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(sin(S2))**_a0_)\n",
+      "<lambdifygenerated-125660>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(exp(fac(S1 + exp(S2**2/_a0_))))\n",
+      "<lambdifygenerated-125662>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(-sinh(S2))**_a0_\n",
+      "<lambdifygenerated-125663>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(-sinh(S2))**_a0_\n",
+      "<lambdifygenerated-125664>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(-sinh(S2))**_a0_\n",
+      " 28%|██▊       | 423/1500 [00:27<01:07, 15.92it/s]<lambdifygenerated-125671>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(tan(relu(S2)/(S1*_a0_)))\n",
+      "<lambdifygenerated-125678>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*(S2 + _a0_)**S1))\n",
+      "<lambdifygenerated-125679>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*(S2 + _a0_)**S1))\n",
+      "<lambdifygenerated-125680>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*(S2 + _a0_)**S1))\n",
+      "<lambdifygenerated-125704>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-1/S1)\n",
+      "<lambdifygenerated-125705>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-1/S1)\n",
+      "<lambdifygenerated-125726>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(S2*_a0_)**_a0_\n",
+      "<lambdifygenerated-125727>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(S2*_a0_)**_a0_\n",
+      " 28%|██▊       | 425/1500 [00:27<01:04, 16.67it/s]<lambdifygenerated-125739>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(_a0_**S1)**_a0_\n",
+      "<lambdifygenerated-125740>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(_a0_**S1)**_a0_\n",
+      "<lambdifygenerated-125741>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(_a0_**S1)**_a0_\n",
+      "<lambdifygenerated-125756>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return S1**(S1**S2)\n",
+      "<lambdifygenerated-125757>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return S1**(S1**S2)\n",
+      "<lambdifygenerated-125762>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(sinh(S1))**(S1**S1)\n",
+      "<lambdifygenerated-125763>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(sinh(S1))**(S1**S1)\n",
+      "<lambdifygenerated-125764>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(sinh(S1))**(S1**S1)\n",
+      "<lambdifygenerated-125795>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(cos(sinh(S1))**_a0_))\n",
+      " 28%|██▊       | 427/1500 [00:27<01:05, 16.38it/s]<lambdifygenerated-125810>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/S1**4)\n",
+      "<lambdifygenerated-125811>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/S1**4)\n",
+      "<lambdifygenerated-125812>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/S1**4)\n",
+      "<lambdifygenerated-125831>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(S2/_a0_)/sqrt(S1*S2))\n",
+      "<lambdifygenerated-125847>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-1/(S2*_a0_))\n",
+      "<lambdifygenerated-125866>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(sinh(tan(S1)))**_a0_))\n",
+      "<lambdifygenerated-125867>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(sinh(tan(S1)))**_a0_))\n",
+      "<lambdifygenerated-125868>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(sinh(tan(S1)))**_a0_))\n",
+      " 29%|██▊       | 429/1500 [00:27<01:06, 16.11it/s]<lambdifygenerated-125887>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S1 + _a0_)**_a0_\n",
+      "<lambdifygenerated-125888>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S1 + _a0_)**_a0_\n",
+      "<lambdifygenerated-125902>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(sinh(sin(S1)))**_a0_))\n",
+      "<lambdifygenerated-125903>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(sinh(sin(S1)))**_a0_))\n",
+      "<lambdifygenerated-125904>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(sinh(sin(S1)))**_a0_))\n",
+      "<lambdifygenerated-125922>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*(S2/_a0_)**S1))\n",
+      "<lambdifygenerated-125923>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*(S2/_a0_)**S1))\n",
+      "<lambdifygenerated-125924>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*(S2/_a0_)**S1))\n",
+      " 29%|██▊       | 431/1500 [00:27<01:05, 16.25it/s]<lambdifygenerated-125952>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(S2/tan(S2))\n",
+      "<lambdifygenerated-125953>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(S2/tan(S2))\n",
+      "<lambdifygenerated-125962>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(S2*(_a0_**2)**(sqrt(_a0_))))\n",
+      "<lambdifygenerated-125963>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(S2*(_a0_**2)**(sqrt(_a0_))))\n",
+      "<lambdifygenerated-125964>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(S2*(_a0_**2)**(sqrt(_a0_))))\n",
+      "<lambdifygenerated-125989>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(log(S2)/S1)\n",
+      "<lambdifygenerated-126012>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu((S2*_a0_)**_a0_)\n",
+      "<lambdifygenerated-126013>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu((S2*_a0_)**_a0_)\n",
+      " 29%|██▉       | 433/1500 [00:27<01:07, 15.74it/s]<lambdifygenerated-126029>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-sin(S2)/(S1*_a0_))\n",
+      "<lambdifygenerated-126030>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-sin(S2)/(S1*_a0_))\n",
+      "<lambdifygenerated-126037>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*sin(_a0_)**S1))\n",
+      "<lambdifygenerated-126038>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*sin(_a0_)**S1))\n",
+      "<lambdifygenerated-126058>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(_a0_**_a0_)**_a0_\n",
+      "<lambdifygenerated-126059>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(_a0_**_a0_)**_a0_\n",
+      "<lambdifygenerated-126060>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(exp(cos(S1 + sqrt(S2**2/_a0_))))\n",
+      "<lambdifygenerated-126061>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(exp(cos(S1 + sqrt(S2**2/_a0_))))\n",
+      "<lambdifygenerated-126080>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(_a0_**S2)*sig(sig(S1))**(-S1*_a0_)\n",
+      "<lambdifygenerated-126081>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(_a0_**S2)*sig(sig(S1))**(-S1*_a0_)\n",
+      "<lambdifygenerated-126082>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(_a0_**S2)*sig(sig(S1))**(-S1*_a0_)\n",
+      " 29%|██▉       | 435/1500 [00:28<01:08, 15.44it/s]<lambdifygenerated-126114>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return sinh(S2**S1)**_a0_\n",
+      "<lambdifygenerated-126115>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return sinh(S2**S1)**_a0_\n",
+      "<lambdifygenerated-126116>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return sinh(S2**S1)**_a0_\n",
+      "<lambdifygenerated-126145>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return (2*_a0_)**_a0_\n",
+      "<lambdifygenerated-126146>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return (2*_a0_)**_a0_\n",
+      "<lambdifygenerated-126166>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(_a0_*cos(S1))*exp(-S1)\n",
+      "<lambdifygenerated-126167>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(_a0_*cos(S1))*exp(-S1)\n",
+      "<lambdifygenerated-126168>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(_a0_*cos(S1))*exp(-S1)\n",
+      " 29%|██▉       | 437/1500 [00:28<01:06, 16.04it/s]<lambdifygenerated-126175>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-relu(_a0_/S2)/(S1*_a0_))\n",
+      "<lambdifygenerated-126176>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-relu(_a0_/S2)/(S1*_a0_))\n",
+      "<lambdifygenerated-126177>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-relu(_a0_/S2)/(S1*_a0_))\n",
+      "<lambdifygenerated-126193>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(tan(S1)**_a0_)\n",
+      "<lambdifygenerated-126194>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(tan(S1)**_a0_)\n",
+      "<lambdifygenerated-126212>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (log(relu(S2/_a0_))/S1)**sig(S1)\n",
+      "<lambdifygenerated-126213>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (log(relu(S2/_a0_))/S1)**sig(S1)\n",
+      "<lambdifygenerated-126238>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(S2 + _a0_)**_a0_\n",
+      "<lambdifygenerated-126239>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(S2 + _a0_)**_a0_\n",
+      "<lambdifygenerated-126248>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(_a0_*log(S2))*exp(-S1)\n",
+      "<lambdifygenerated-126249>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(_a0_*log(S2))*exp(-S1)\n",
+      "<lambdifygenerated-126250>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(_a0_*log(S2))*exp(-S1)\n",
+      " 29%|██▉       | 439/1500 [00:28<01:09, 15.35it/s]<lambdifygenerated-126251>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(relu(S2)/(S1*_a0_))\n",
+      "<lambdifygenerated-126252>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(relu(S2)/(S1*_a0_))\n",
+      "<lambdifygenerated-126253>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(relu(S2)/(S1*_a0_))\n",
+      "<lambdifygenerated-126291>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*(_a0_/S1)**S1))\n",
+      "<lambdifygenerated-126292>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*(_a0_/S1)**S1))\n",
+      "<lambdifygenerated-126293>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*(_a0_/S1)**S1))\n",
+      "<lambdifygenerated-126307>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(sinh(S2*_a0_))**_a0_))\n",
+      "<lambdifygenerated-126308>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(sinh(S2*_a0_))**_a0_))\n",
+      "<lambdifygenerated-126309>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(sinh(S2*_a0_))**_a0_))\n",
+      "<lambdifygenerated-126314>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(log(S1)))**_a0_\n",
+      "<lambdifygenerated-126315>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(log(S1)))**_a0_\n",
+      "<lambdifygenerated-126316>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(log(S1)))**_a0_\n",
+      " 29%|██▉       | 441/1500 [00:28<01:09, 15.14it/s]<lambdifygenerated-126335>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_**S2)**_a0_\n",
+      "<lambdifygenerated-126336>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_**S2)**_a0_\n",
+      "<lambdifygenerated-126337>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_**S2)**_a0_\n",
+      "<lambdifygenerated-126342>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(log(_a0_)/S1)\n",
+      "<lambdifygenerated-126343>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(log(_a0_)/S1)\n",
+      "<lambdifygenerated-126344>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu((S2 + _a0_)**_a0_)\n",
+      "<lambdifygenerated-126345>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu((S2 + _a0_)**_a0_)\n",
+      "<lambdifygenerated-126357>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(S2*_a0_)*exp(-tan(S1))\n",
+      "<lambdifygenerated-126362>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-relu(-S1)/(S1*_a0_))\n",
+      "<lambdifygenerated-126363>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-relu(-S1)/(S1*_a0_))\n",
+      "<lambdifygenerated-126364>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-relu(-S1)/(S1*_a0_))\n",
+      "<lambdifygenerated-126372>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S2)\n",
+      "<lambdifygenerated-126373>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S2)\n",
+      "<lambdifygenerated-126386>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return tan(_a0_)**_a0_\n",
+      "<lambdifygenerated-126387>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return tan(_a0_)**_a0_\n",
+      " 30%|██▉       | 443/1500 [00:28<01:11, 14.86it/s]<lambdifygenerated-126399>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(relu(S2)/cos(S2))\n",
+      "<lambdifygenerated-126400>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(relu(S2)/cos(S2))\n",
+      "<lambdifygenerated-126401>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(relu(S2)/cos(S2))\n",
+      "<lambdifygenerated-126402>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(_a0_*sinh(_a0_)))\n",
+      "<lambdifygenerated-126403>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(_a0_*sinh(_a0_)))\n",
+      "<lambdifygenerated-126404>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(_a0_*sinh(_a0_)))\n",
+      "<lambdifygenerated-126410>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*sin(_a0_)**S1))\n",
+      "<lambdifygenerated-126416>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(_a0_**_a0_)\n",
+      "<lambdifygenerated-126417>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(_a0_**_a0_)\n",
+      "<lambdifygenerated-126421>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(S1*_a0_)**_a0_))\n",
+      "<lambdifygenerated-126422>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(S1*_a0_)**_a0_))\n",
+      "<lambdifygenerated-126423>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(S1*_a0_)**_a0_))\n",
+      "<lambdifygenerated-126436>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return tan(S2)**_a0_/(S1 + _a0_)\n",
+      "<lambdifygenerated-126437>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return tan(S2)**_a0_/(S1 + _a0_)\n",
+      "<lambdifygenerated-126438>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return tan(S2)**_a0_/(S1 + _a0_)\n",
+      "<lambdifygenerated-126453>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(relu(relu(sinh(S1))**(S2**S1)))\n",
+      "<lambdifygenerated-126454>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(relu(relu(sinh(S1))**(S2**S1)))\n",
+      "<lambdifygenerated-126455>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(relu(relu(sinh(S1))**(S2**S1)))\n",
+      "<lambdifygenerated-126462>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(sinh(_a0_))**_a0_\n",
+      "<lambdifygenerated-126472>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return _a0_**(-_a0_)*sqrt(S2*_a0_)\n",
+      "<lambdifygenerated-126472>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return _a0_**(-_a0_)*sqrt(S2*_a0_)\n",
+      " 30%|██▉       | 445/1500 [00:28<01:09, 15.13it/s]<lambdifygenerated-126476>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(exp(_a0_))/(S1*_a0_))\n",
+      "<lambdifygenerated-126489>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(S2)*sig(sig(S1))**(_a0_*_a0_**S2)\n",
+      "<lambdifygenerated-126490>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(S2)*sig(sig(S1))**(_a0_*_a0_**S2)\n",
+      "<lambdifygenerated-126491>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(S2)*sig(sig(S1))**(_a0_*_a0_**S2)\n",
+      "<lambdifygenerated-126492>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(cos(S1)**_a0_)\n",
+      "<lambdifygenerated-126493>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(cos(S1)**_a0_)\n",
+      "<lambdifygenerated-126504>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(tan(S1)))**_a0_\n",
+      "<lambdifygenerated-126505>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(tan(S1)))**_a0_\n",
+      "<lambdifygenerated-126506>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(tan(S1)))**_a0_\n",
+      "<lambdifygenerated-126521>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return cos(S1)**_a0_\n",
+      " 30%|██▉       | 447/1500 [00:28<01:08, 15.45it/s]<lambdifygenerated-126553>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return (2*_a0_)**_a0_\n",
+      "<lambdifygenerated-126554>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return (2*_a0_)**_a0_\n",
+      "<lambdifygenerated-126558>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(sinh(fac(_a0_))**_a0_)\n",
+      "<lambdifygenerated-126559>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(sinh(fac(_a0_))**_a0_)\n",
+      "<lambdifygenerated-126560>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(sinh(fac(_a0_))**_a0_)\n",
+      "<lambdifygenerated-126576>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-S2*_a0_)*exp(-S1)\n",
+      "<lambdifygenerated-126577>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-S2*_a0_)*exp(-S1)\n",
+      "<lambdifygenerated-126578>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-S2*_a0_)*exp(-S1)\n",
+      "<lambdifygenerated-126606>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-sig(log(S2))/S2)\n",
+      "<lambdifygenerated-126607>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-sig(log(S2))/S2)\n",
+      "<lambdifygenerated-126608>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-sig(log(S2))/S2)\n",
+      " 30%|██▉       | 449/1500 [00:28<01:05, 15.98it/s]<lambdifygenerated-126624>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(_a0_)**_a0_)\n",
+      "<lambdifygenerated-126630>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(_a0_)**_a0_))\n",
+      "<lambdifygenerated-126631>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(_a0_)**_a0_))\n",
+      "<lambdifygenerated-126640>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return tan(sinh(S1))**_a0_\n",
+      "<lambdifygenerated-126654>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (-sinh(S1))**_a0_\n",
+      "<lambdifygenerated-126655>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (-sinh(S1))**_a0_\n",
+      "<lambdifygenerated-126656>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (-sinh(S1))**_a0_\n",
+      "<lambdifygenerated-126681>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return relu(exp(sinh(S1 + exp(S2**2/_a0_))))\n",
+      "<lambdifygenerated-126681>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(exp(sinh(S1 + exp(S2**2/_a0_))))\n",
+      "<lambdifygenerated-126683>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sin(sinh(S1))**_a0_\n",
+      " 30%|███       | 451/1500 [00:29<01:11, 14.60it/s]<lambdifygenerated-126693>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return tan(S2)**_a0_/(S1 + _a0_)\n",
+      "<lambdifygenerated-126694>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return tan(S2)**_a0_/(S1 + _a0_)\n",
+      "<lambdifygenerated-126717>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(sinh(S1))**(S1**S1)\n",
+      "<lambdifygenerated-126718>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(sinh(S1))**(S1**S1)\n",
+      "<lambdifygenerated-126724>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-1/S1)\n",
+      "<lambdifygenerated-126725>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-1/S1)\n",
+      "<lambdifygenerated-126735>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sin(S1)**_a0_\n",
+      "<lambdifygenerated-126749>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return tan(S2)**_a0_\n",
+      "<lambdifygenerated-126750>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return tan(S2)**_a0_\n",
+      "<lambdifygenerated-126751>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return tan(S2)**_a0_\n",
+      " 30%|███       | 453/1500 [00:29<01:10, 14.79it/s]<lambdifygenerated-126767>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(S1*sin(S1)))\n",
+      "<lambdifygenerated-126768>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(S1*sin(S1)))\n",
+      "<lambdifygenerated-126769>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(S1*sin(S1)))\n",
+      "<lambdifygenerated-126783>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return exp(-_a0_/S1**2)/S1\n",
+      "<lambdifygenerated-126784>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return exp(-_a0_/S1**2)/S1\n",
+      "<lambdifygenerated-126785>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return exp(-_a0_/S1**2)/S1\n",
+      "<lambdifygenerated-126806>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(-S1)**_a0_))\n",
+      "<lambdifygenerated-126812>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(exp(cos(S1 + exp(S2*_a0_**_a0_/_a0_))))\n",
+      "<lambdifygenerated-126813>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(exp(cos(S1 + exp(S2*_a0_**_a0_/_a0_))))\n",
+      "<lambdifygenerated-126814>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(exp(cos(S1 + exp(S2*_a0_**_a0_/_a0_))))\n",
+      "<lambdifygenerated-126820>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(S2*_a0_)/tanh(S1)\n",
+      " 30%|███       | 455/1500 [00:29<01:08, 15.37it/s]<lambdifygenerated-126844>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(_a0_)**_a0_))\n",
+      "<lambdifygenerated-126845>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(_a0_)**_a0_))\n",
+      "<lambdifygenerated-126856>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(_a0_**_a0_))**_a0_\n",
+      "<lambdifygenerated-126857>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(_a0_**_a0_))**_a0_\n",
+      "<lambdifygenerated-126858>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(_a0_**_a0_))**_a0_\n",
+      "<lambdifygenerated-126862>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(relu(log(_a0_))/S1)\n",
+      "<lambdifygenerated-126863>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(relu(log(_a0_))/S1)\n",
+      "<lambdifygenerated-126864>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(relu(log(_a0_))/S1)\n",
+      "<lambdifygenerated-126897>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(S2*_a0_)/tan(S1)\n",
+      " 30%|███       | 457/1500 [00:29<01:09, 14.96it/s]<lambdifygenerated-126902>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(-(relu(S2)/_a0_)**S1)\n",
+      "<lambdifygenerated-126936>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S2)\n",
+      "<lambdifygenerated-126937>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S2)\n",
+      "<lambdifygenerated-126956>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(S2*_a0_)/relu(S1)\n",
+      " 31%|███       | 459/1500 [00:29<01:06, 15.75it/s]<lambdifygenerated-126966>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*(_a0_**S2)**S1))\n",
+      "<lambdifygenerated-126967>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*(_a0_**S2)**S1))\n",
+      "<lambdifygenerated-126968>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*(_a0_**S2)**S1))\n",
+      "<lambdifygenerated-126983>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(-S1)**_a0_))\n",
+      "<lambdifygenerated-126988>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return exp(-_a0_**(-_a0_)*sig(_a0_))/S1\n",
+      "<lambdifygenerated-126989>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return exp(-_a0_**(-_a0_)*sig(_a0_))/S1\n",
+      "<lambdifygenerated-126990>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return exp(-_a0_**(-_a0_)*sig(_a0_))/S1\n",
+      "<lambdifygenerated-126998>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)**_a0_/S1)\n",
+      "<lambdifygenerated-127015>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return _a0_**S1*sig(sig(S1))**(-S1*_a0_)\n",
+      "<lambdifygenerated-127016>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return _a0_**S1*sig(sig(S1))**(-S1*_a0_)\n",
+      "<lambdifygenerated-127017>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return _a0_**S1*sig(sig(S1))**(-S1*_a0_)\n",
+      "<lambdifygenerated-127028>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (_a0_ + sqrt(S2*_a0_))/S1**(3/2)\n",
+      "<lambdifygenerated-127029>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (_a0_ + sqrt(S2*_a0_))/S1**(3/2)\n",
+      "<lambdifygenerated-127030>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (_a0_ + sqrt(S2*_a0_))/S1**(3/2)\n",
+      " 31%|███       | 461/1500 [00:29<01:06, 15.52it/s]<lambdifygenerated-127045>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return relu(sinh(S1**S1)**_a0_)\n",
+      "<lambdifygenerated-127046>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return relu(sinh(S1**S1)**_a0_)\n",
+      "<lambdifygenerated-127063>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(S2*_a0_)/S1\n",
+      "<lambdifygenerated-127081>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(_a0_)**_a0_)\n",
+      "<lambdifygenerated-127096>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(_a0_**_a0_)**_a0_\n",
+      "<lambdifygenerated-127097>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(_a0_**_a0_)**_a0_\n",
+      "<lambdifygenerated-127098>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(S2*_a0_)/abs(S1)\n",
+      " 31%|███       | 463/1500 [00:29<01:06, 15.65it/s]<lambdifygenerated-127100>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-relu(cos(S2))/(S1*_a0_))\n",
+      "<lambdifygenerated-127101>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-relu(cos(S2))/(S1*_a0_))\n",
+      "<lambdifygenerated-127102>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-relu(cos(S2))/(S1*_a0_))\n",
+      "<lambdifygenerated-127118>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(S2 + _a0_)**_a0_))\n",
+      "<lambdifygenerated-127119>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(S2 + _a0_)**_a0_))\n",
+      "<lambdifygenerated-127127>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(S1)**_a0_\n",
+      "<lambdifygenerated-127128>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(S1)**_a0_\n",
+      "<lambdifygenerated-127129>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(S1)**_a0_\n",
+      "<lambdifygenerated-127135>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(_a0_)**_a0_\n",
+      "<lambdifygenerated-127136>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(_a0_)**_a0_\n",
+      "<lambdifygenerated-127140>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(cos(relu(S2)/(S1*_a0_)))\n",
+      "<lambdifygenerated-127141>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(cos(relu(S2)/(S1*_a0_)))\n",
+      "<lambdifygenerated-127172>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (sqrt(S1) + _a0_)/(S1*sqrt(_a0_))\n",
+      " 31%|███       | 465/1500 [00:30<01:07, 15.30it/s]<lambdifygenerated-127186>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return abs(sinh(S1)**(_a0_**S2))\n",
+      "<lambdifygenerated-127187>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return abs(sinh(S1)**(_a0_**S2))\n",
+      "<lambdifygenerated-127188>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return abs(sinh(S1)**(_a0_**S2))\n",
+      "<lambdifygenerated-127213>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(_a0_/S2)**_a0_\n",
+      "<lambdifygenerated-127214>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(_a0_/S2)**_a0_\n",
+      "<lambdifygenerated-127221>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return abs(sinh(_a0_/S2)**_a0_)\n",
+      "<lambdifygenerated-127222>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return abs(sinh(_a0_/S2)**_a0_)\n",
+      "<lambdifygenerated-127223>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return abs(sinh(_a0_/S2)**_a0_)\n",
+      "<lambdifygenerated-127245>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(_a0_**_a0_))**_a0_\n",
+      "<lambdifygenerated-127246>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(_a0_**_a0_))**_a0_\n",
+      " 31%|███       | 467/1500 [00:30<01:10, 14.55it/s]<lambdifygenerated-127247>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-relu(_a0_)/(S1*_a0_))\n",
+      "<lambdifygenerated-127267>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(S2)*sig(sig(S1))**(_a0_**(-S1))\n",
+      "<lambdifygenerated-127268>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(S2)*sig(sig(S1))**(_a0_**(-S1))\n",
+      "<lambdifygenerated-127305>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sqrt(sig(log(S1/_a0_))/S1)\n",
+      "<lambdifygenerated-127308>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S1 + _a0_)**_a0_\n",
+      "<lambdifygenerated-127309>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S1 + _a0_)**_a0_\n",
+      " 31%|███▏      | 469/1500 [00:30<01:09, 14.81it/s]<lambdifygenerated-127332>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(cos(sinh(S1))**_a0_))\n",
+      "<lambdifygenerated-127333>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sqrt(_a0_))*sig(sig(S1))**(-S1*_a0_)\n",
+      "<lambdifygenerated-127334>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sqrt(_a0_))*sig(sig(S1))**(-S1*_a0_)\n",
+      "<lambdifygenerated-127335>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sqrt(_a0_))*sig(sig(S1))**(-S1*_a0_)\n",
+      "<lambdifygenerated-127343>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_**S2)**_a0_\n",
+      "<lambdifygenerated-127344>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_**S2)**_a0_\n",
+      "<lambdifygenerated-127355>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(-_a0_**S2/(S1*_a0_))\n",
+      "<lambdifygenerated-127355>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-_a0_**S2/(S1*_a0_))\n",
+      "<lambdifygenerated-127356>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(-_a0_**S2/(S1*_a0_))\n",
+      "<lambdifygenerated-127356>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-_a0_**S2/(S1*_a0_))\n",
+      "<lambdifygenerated-127357>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(-_a0_**S2/(S1*_a0_))\n",
+      "<lambdifygenerated-127357>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-_a0_**S2/(S1*_a0_))\n",
+      "<lambdifygenerated-127375>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(relu(relu(sinh(S1))**(S1**S2)))\n",
+      "<lambdifygenerated-127376>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(relu(relu(sinh(S1))**(S1**S2)))\n",
+      "<lambdifygenerated-127377>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(relu(relu(sinh(S1))**(S1**S2)))\n",
+      "<lambdifygenerated-127392>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(S2 + _a0_))**_a0_\n",
+      "<lambdifygenerated-127393>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(S2 + _a0_))**_a0_\n",
+      "<lambdifygenerated-127394>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(S2 + _a0_))**_a0_\n",
+      " 31%|███▏      | 471/1500 [00:30<01:10, 14.51it/s]<lambdifygenerated-127458>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(sinh(S1))**(S1**S2)\n",
+      "<lambdifygenerated-127459>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(sinh(S1))**(S1**S2)\n",
+      " 32%|███▏      | 473/1500 [00:30<01:08, 14.96it/s]<lambdifygenerated-127472>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*(-S1**2)**S1))\n",
+      "<lambdifygenerated-127473>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*(-S1**2)**S1))\n",
+      "<lambdifygenerated-127474>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*(-S1**2)**S1))\n",
+      "<lambdifygenerated-127484>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(sinh(S2 + _a0_))**_a0_))\n",
+      "<lambdifygenerated-127485>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(sinh(S2 + _a0_))**_a0_))\n",
+      "<lambdifygenerated-127486>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(sinh(S2 + _a0_))**_a0_))\n",
+      "<lambdifygenerated-127496>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (sqrt(S1) + _a0_)/(S1*sqrt(S2*_a0_))\n",
+      "<lambdifygenerated-127497>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (sqrt(S1) + _a0_)/(S1*sqrt(S2*_a0_))\n",
+      "<lambdifygenerated-127498>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (sqrt(S1) + _a0_)/(S1*sqrt(S2*_a0_))\n",
+      "<lambdifygenerated-127500>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return relu(sinh(S1**S1))**_a0_\n",
+      "<lambdifygenerated-127501>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return relu(sinh(S1**S1))**_a0_\n",
+      "<lambdifygenerated-127502>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return relu(sinh(S1**S1))**_a0_\n",
+      "<lambdifygenerated-127506>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(relu(cos(S2))/S1)\n",
+      "<lambdifygenerated-127507>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(relu(cos(S2))/S1)\n",
+      "<lambdifygenerated-127508>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(relu(cos(S2))/S1)\n",
+      "<lambdifygenerated-127517>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S2)\n",
+      "<lambdifygenerated-127518>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S2)\n",
+      "<lambdifygenerated-127540>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return exp(-S1)*sqrt(tan(S1))\n",
+      "<lambdifygenerated-127541>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return exp(-S1)*sqrt(tan(S1))\n",
+      "<lambdifygenerated-127542>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return exp(-S1)*sqrt(tan(S1))\n",
+      " 32%|███▏      | 475/1500 [00:30<01:12, 14.17it/s]<lambdifygenerated-127547>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return abs(sinh(S1)**(S1**S2))\n",
+      "<lambdifygenerated-127548>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return abs(sinh(S1)**(S1**S2))\n",
+      "<lambdifygenerated-127549>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return abs(sinh(S1)**(S1**S2))\n",
+      "<lambdifygenerated-127572>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(-sinh(S2))**_a0_\n",
+      "<lambdifygenerated-127573>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(-sinh(S2))**_a0_\n",
+      "<lambdifygenerated-127576>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S2/S1)\n",
+      "<lambdifygenerated-127609>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(S2*_a0_)/log(S1)\n",
+      " 32%|███▏      | 477/1500 [00:30<01:10, 14.53it/s]<lambdifygenerated-127611>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/S1**2)\n",
+      "<lambdifygenerated-127620>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(S2/tan(S1))\n",
+      "<lambdifygenerated-127621>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(S2/tan(S1))\n",
+      "<lambdifygenerated-127622>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(S2/tan(S1))\n",
+      "<lambdifygenerated-127633>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(S1)**_a0_\n",
+      "<lambdifygenerated-127634>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(S1)**_a0_\n",
+      "<lambdifygenerated-127668>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(tan(log(S2**3))/S1)\n",
+      "<lambdifygenerated-127669>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(tan(log(S2**3))/S1)\n",
+      "<lambdifygenerated-127680>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(sinh(_a0_))**_a0_\n",
+      " 32%|███▏      | 479/1500 [00:31<01:10, 14.55it/s]<lambdifygenerated-127688>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return abs(_a0_**_a0_)\n",
+      "<lambdifygenerated-127689>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return abs(_a0_**_a0_)\n",
+      "<lambdifygenerated-127690>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return abs(_a0_**_a0_)\n",
+      "<lambdifygenerated-127695>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(_a0_**3)**_a0_)\n",
+      "<lambdifygenerated-127696>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(_a0_**3)**_a0_)\n",
+      "<lambdifygenerated-127697>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(_a0_**3)**_a0_)\n",
+      "<lambdifygenerated-127700>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(S2)*log(sig(S1))**(-S1*_a0_)\n",
+      "<lambdifygenerated-127701>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(S2)*log(sig(S1))**(-S1*_a0_)\n",
+      "<lambdifygenerated-127707>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(log(S2**3)**3/S1)\n",
+      "<lambdifygenerated-127708>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(log(S2**3)**3/S1)\n",
+      "<lambdifygenerated-127725>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return abs((_a0_**S1)**_a0_)\n",
+      "<lambdifygenerated-127726>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return abs((_a0_**S1)**_a0_)\n",
+      "<lambdifygenerated-127727>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return abs((_a0_**S1)**_a0_)\n",
+      "<lambdifygenerated-127740>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(relu(_a0_**S2)**_a0_))\n",
+      "<lambdifygenerated-127740>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(_a0_**S2)**_a0_))\n",
+      "<lambdifygenerated-127741>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(relu(_a0_**S2)**_a0_))\n",
+      "<lambdifygenerated-127741>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(_a0_**S2)**_a0_))\n",
+      " 32%|███▏      | 481/1500 [00:31<01:09, 14.77it/s]<lambdifygenerated-127787>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log(-relu(S2)/(S1*fac(_a0_)))\n",
+      "<lambdifygenerated-127787>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(S1*fac(_a0_)))\n",
+      "<lambdifygenerated-127788>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log(-relu(S2)/(S1*fac(_a0_)))\n",
+      "<lambdifygenerated-127788>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(S1*fac(_a0_)))\n",
+      "<lambdifygenerated-127789>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log(-relu(S2)/(S1*fac(_a0_)))\n",
+      "<lambdifygenerated-127789>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(S1*fac(_a0_)))\n",
+      "<lambdifygenerated-127816>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return sqrt(sig(log(log(_a0_)**3))/S1)\n",
+      "<lambdifygenerated-127816>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sqrt(sig(log(log(_a0_)**3))/S1)\n",
+      "<lambdifygenerated-127830>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-_a0_)*exp(-S1)\n",
+      "<lambdifygenerated-127831>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-_a0_)*exp(-S1)\n",
+      "<lambdifygenerated-127832>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-_a0_)*exp(-S1)\n",
+      " 32%|███▏      | 483/1500 [00:31<01:13, 13.85it/s]<lambdifygenerated-127849>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(S2)*sig(sig(S1))**(_a0_**(-S1))\n",
+      "<lambdifygenerated-127864>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S2/(S1*_a0_**2))\n",
+      "<lambdifygenerated-127865>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S2/(S1*_a0_**2))\n",
+      "<lambdifygenerated-127866>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S2/(S1*_a0_**2))\n",
+      "<lambdifygenerated-127875>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2*_a0_)**_a0_\n",
+      "<lambdifygenerated-127876>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2*_a0_)**_a0_\n",
+      "<lambdifygenerated-127877>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*(_a0_**2)**(_a0_**S1)))\n",
+      "<lambdifygenerated-127878>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*(_a0_**2)**(_a0_**S1)))\n",
+      "<lambdifygenerated-127879>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*(_a0_**2)**(_a0_**S1)))\n",
+      "<lambdifygenerated-127903>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(S2*_a0_)*exp(S1)\n",
+      " 32%|███▏      | 485/1500 [00:31<01:12, 14.00it/s]<lambdifygenerated-127914>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*_a0_**S1))\n",
+      "<lambdifygenerated-127915>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*_a0_**S1))\n",
+      "<lambdifygenerated-127916>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2 + sin(cos(S1)**_a0_))*exp(-S1)\n",
+      "<lambdifygenerated-127917>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2 + sin(cos(S1)**_a0_))*exp(-S1)\n",
+      "<lambdifygenerated-127918>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2 + sin(cos(S1)**_a0_))*exp(-S1)\n",
+      "<lambdifygenerated-127935>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(_a0_)**_a0_\n",
+      "<lambdifygenerated-127936>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(_a0_)**_a0_\n",
+      "<lambdifygenerated-127937>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(exp(cos(S1 + log(relu(S2)/_a0_))))\n",
+      "<lambdifygenerated-127938>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(exp(cos(S1 + log(relu(S2)/_a0_))))\n",
+      "<lambdifygenerated-127959>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(relu((sinh(S1)**2)**(S1**S1)))\n",
+      "<lambdifygenerated-127960>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(relu((sinh(S1)**2)**(S1**S1)))\n",
+      "<lambdifygenerated-127961>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(relu((sinh(S1)**2)**(S1**S1)))\n",
+      "<lambdifygenerated-127969>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (sqrt(S1) + _a0_)/(S1*sqrt(_a0_**3))\n",
+      "<lambdifygenerated-127970>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (sqrt(S1) + _a0_)/(S1*sqrt(_a0_**3))\n",
+      "<lambdifygenerated-127971>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (sqrt(S1) + _a0_)/(S1*sqrt(_a0_**3))\n",
+      " 32%|███▏      | 487/1500 [00:31<01:11, 14.12it/s]<lambdifygenerated-128018>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/_a0_**2)\n",
+      "<lambdifygenerated-128024>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_**3)**_a0_\n",
+      "<lambdifygenerated-128025>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_**3)**_a0_\n",
+      "<lambdifygenerated-128026>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_**3)**_a0_\n",
+      "<lambdifygenerated-128052>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(sinh(2*_a0_))**_a0_\n",
+      "<lambdifygenerated-128053>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(sinh(2*_a0_))**_a0_\n",
+      "<lambdifygenerated-128054>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(sinh(2*_a0_))**_a0_\n",
+      "<lambdifygenerated-128056>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(exp(cos(S1 + exp(relu(sqrt(_a0_))/_a0_))))\n",
+      "<lambdifygenerated-128057>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(exp(cos(S1 + exp(relu(sqrt(_a0_))/_a0_))))\n",
+      "<lambdifygenerated-128058>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(exp(cos(S1 + exp(relu(sqrt(_a0_))/_a0_))))\n",
+      " 33%|███▎      | 489/1500 [00:31<01:14, 13.63it/s]<lambdifygenerated-128062>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-relu(sin(S2))/(S1*_a0_))\n",
+      "<lambdifygenerated-128063>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-relu(sin(S2))/(S1*_a0_))\n",
+      "<lambdifygenerated-128064>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-relu(sin(S2))/(S1*_a0_))\n",
+      "<lambdifygenerated-128081>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu((2*_a0_)**_a0_)\n",
+      "<lambdifygenerated-128082>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu((2*_a0_)**_a0_)\n",
+      "<lambdifygenerated-128103>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(S1*S2))\n",
+      "<lambdifygenerated-128115>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return (S2/_a0_ + sin(log(_a0_)**_a0_))*exp(-S1)\n",
+      "<lambdifygenerated-128116>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return (S2/_a0_ + sin(log(_a0_)**_a0_))*exp(-S1)\n",
+      "<lambdifygenerated-128117>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return (S2/_a0_ + sin(log(_a0_)**_a0_))*exp(-S1)\n",
+      " 33%|███▎      | 491/1500 [00:31<01:11, 14.06it/s]<lambdifygenerated-128142>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-128175>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2/_a0_ + sin((S2 - _a0_)**_a0_))*exp(-S1)\n",
+      "<lambdifygenerated-128176>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2/_a0_ + sin((S2 - _a0_)**_a0_))*exp(-S1)\n",
+      "<lambdifygenerated-128177>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2/_a0_ + sin((S2 - _a0_)**_a0_))*exp(-S1)\n",
+      " 33%|███▎      | 493/1500 [00:32<01:09, 14.51it/s]<lambdifygenerated-128199>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S2/S1)\n",
+      "<lambdifygenerated-128200>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(-_a0_**S1/(S1*_a0_))\n",
+      "<lambdifygenerated-128200>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-_a0_**S1/(S1*_a0_))\n",
+      "<lambdifygenerated-128201>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(-_a0_**S1/(S1*_a0_))\n",
+      "<lambdifygenerated-128201>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-_a0_**S1/(S1*_a0_))\n",
+      "<lambdifygenerated-128202>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(-_a0_**S1/(S1*_a0_))\n",
+      "<lambdifygenerated-128202>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-_a0_**S1/(S1*_a0_))\n",
+      "<lambdifygenerated-128206>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S2/_a0_)\n",
+      "<lambdifygenerated-128207>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S2/_a0_)\n",
+      "<lambdifygenerated-128208>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S2/_a0_)\n",
+      "<lambdifygenerated-128210>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return sinh(fac(_a0_))**_a0_\n",
+      "<lambdifygenerated-128211>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return sinh(fac(_a0_))**_a0_\n",
+      "<lambdifygenerated-128212>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return sinh(fac(_a0_))**_a0_\n",
+      "<lambdifygenerated-128262>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_/S1)**_a0_\n",
+      "<lambdifygenerated-128263>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_/S1)**_a0_\n",
+      "<lambdifygenerated-128264>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_/S1)**_a0_\n",
+      "<lambdifygenerated-128275>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(S2/_a0_)*exp(-S1)\n",
+      " 33%|███▎      | 495/1500 [00:32<01:12, 13.82it/s]<lambdifygenerated-128281>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S2*relu(S2)/_a0_**2)\n",
+      "<lambdifygenerated-128282>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S2*relu(S2)/_a0_**2)\n",
+      "<lambdifygenerated-128288>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(sin(S2)/S1)\n",
+      "<lambdifygenerated-128289>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(sin(S2)/S1)\n",
+      "<lambdifygenerated-128303>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return exp(-sig(_a0_**_a0_)/S1)/S1\n",
+      "<lambdifygenerated-128304>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return exp(-sig(_a0_**_a0_)/S1)/S1\n",
+      "<lambdifygenerated-128305>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return exp(-sig(_a0_**_a0_)/S1)/S1\n",
+      "<lambdifygenerated-128318>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(S2/_a0_)*exp(-S2)\n",
+      "<lambdifygenerated-128323>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-relu(_a0_)/(S1*_a0_))\n",
+      "<lambdifygenerated-128350>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(-S1)**_a0_\n",
+      "<lambdifygenerated-128354>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (sqrt(S1) + _a0_)/(S1*sqrt(_a0_))\n",
+      " 33%|███▎      | 497/1500 [00:32<01:17, 12.93it/s]<lambdifygenerated-128356>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(-(relu(S2)/_a0_)**S1)\n",
+      "<lambdifygenerated-128371>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(sin(sinh(S1))**_a0_))\n",
+      "<lambdifygenerated-128383>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(S1*fac(S2)))\n",
+      "<lambdifygenerated-128384>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(S1*fac(S2)))\n",
+      "<lambdifygenerated-128386>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*(_a0_/S1)**S1))\n",
+      "<lambdifygenerated-128387>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*(_a0_/S1)**S1))\n",
+      "<lambdifygenerated-128408>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(sin(S2)))**_a0_\n",
+      "<lambdifygenerated-128409>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(sin(S2)))**_a0_\n",
+      " 33%|███▎      | 499/1500 [00:32<01:11, 13.91it/s]<lambdifygenerated-128428>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(S2 + _a0_)**_a0_)\n",
+      "<lambdifygenerated-128429>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(S2 + _a0_)**_a0_)\n",
+      "<lambdifygenerated-128440>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(exp(cos(S1 + exp(_a0_**(-S2)*relu(S2))))))\n",
+      "<lambdifygenerated-128441>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(exp(cos(S1 + exp(_a0_**(-S2)*relu(S2))))))\n",
+      "<lambdifygenerated-128442>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(exp(cos(S1 + exp(_a0_**(-S2)*relu(S2))))))\n",
+      "<lambdifygenerated-128452>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S1/_a0_)**_a0_\n",
+      "<lambdifygenerated-128453>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S1/_a0_)**_a0_\n",
+      "<lambdifygenerated-128454>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S1/_a0_)**_a0_\n",
+      "<lambdifygenerated-128464>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(S2)*sig(sig(S1))**(S1**S1*_a0_)\n",
+      "<lambdifygenerated-128465>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(S2)*sig(sig(S1))**(S1**S1*_a0_)\n",
+      "<lambdifygenerated-128466>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(S2)*sig(sig(S1))**(S1**S1*_a0_)\n",
+      "<lambdifygenerated-128472>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return S1**(S1**S1)\n",
+      "<lambdifygenerated-128473>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return S1**(S1**S1)\n",
+      "<lambdifygenerated-128476>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (_a0_ + sqrt(sin(_a0_)))/S1**(3/2)\n",
+      "<lambdifygenerated-128477>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (_a0_ + sqrt(sin(_a0_)))/S1**(3/2)\n",
+      "<lambdifygenerated-128478>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (_a0_ + sqrt(sin(_a0_)))/S1**(3/2)\n",
+      " 33%|███▎      | 501/1500 [00:32<01:08, 14.61it/s]<lambdifygenerated-128481>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_/S1)**_a0_/(S1 + _a0_)\n",
+      "<lambdifygenerated-128511>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-(S1 + _a0_)/(S1*_a0_))\n",
+      "<lambdifygenerated-128512>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-(S1 + _a0_)/(S1*_a0_))\n",
+      "<lambdifygenerated-128513>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-(S1 + _a0_)/(S1*_a0_))\n",
+      "<lambdifygenerated-128541>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(_a0_)**_a0_\n",
+      "<lambdifygenerated-128542>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(_a0_)**_a0_\n",
+      " 34%|███▎      | 503/1500 [00:32<01:09, 14.39it/s]<lambdifygenerated-128566>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(_a0_)**_a0_)\n",
+      "<lambdifygenerated-128584>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-(_a0_ + relu(S2))/S1)\n",
+      "<lambdifygenerated-128585>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(sin(S2)/S1)\n",
+      "<lambdifygenerated-128598>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return tan(S1)**_a0_\n",
+      "<lambdifygenerated-128599>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return tan(S1)**_a0_\n",
+      "<lambdifygenerated-128614>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sin(S1)**_a0_\n",
+      "<lambdifygenerated-128615>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sin(S1)**_a0_\n",
+      "<lambdifygenerated-128618>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(sinh(_a0_))**_a0_\n",
+      " 34%|███▎      | 505/1500 [00:32<01:10, 14.10it/s]<lambdifygenerated-128632>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(sin(S2)/S1)\n",
+      "<lambdifygenerated-128633>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(sin(S2)/S1)\n",
+      "<lambdifygenerated-128641>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(cos(S1)**_a0_)\n",
+      "<lambdifygenerated-128643>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(S2)*sig(sig(S1))**(_a0_**(-S1))\n",
+      "<lambdifygenerated-128686>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(_a0_/S1)**_a0_\n",
+      "<lambdifygenerated-128687>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(_a0_/S1)**_a0_\n",
+      " 34%|███▍      | 507/1500 [00:33<01:09, 14.26it/s]<lambdifygenerated-128697>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log(S2/log(_a0_))\n",
+      "<lambdifygenerated-128698>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log(S2/log(_a0_))\n",
+      "<lambdifygenerated-128699>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log(S2/log(_a0_))\n",
+      "<lambdifygenerated-128731>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*_a0_**S1))\n",
+      "<lambdifygenerated-128732>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*_a0_**S1))\n",
+      "<lambdifygenerated-128738>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(_a0_)**_a0_)\n",
+      "<lambdifygenerated-128744>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S1 + _a0_)**_a0_\n",
+      "<lambdifygenerated-128745>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S1 + _a0_)**_a0_\n",
+      " 34%|███▍      | 509/1500 [00:33<01:06, 14.87it/s]<lambdifygenerated-128756>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S1**(-_a0_)*relu(S2)/S1)\n",
+      "<lambdifygenerated-128757>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S1**(-_a0_)*relu(S2)/S1)\n",
+      "<lambdifygenerated-128764>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(tan(S2))\n",
+      "<lambdifygenerated-128765>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(tan(S2))\n",
+      "<lambdifygenerated-128784>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return relu(sinh(S1**S1))**(2*_a0_)\n",
+      "<lambdifygenerated-128785>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return relu(sinh(S1**S1))**(2*_a0_)\n",
+      "<lambdifygenerated-128786>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return relu(sinh(S1**S1))**(2*_a0_)\n",
+      "<lambdifygenerated-128793>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-relu(_a0_)/(S1*_a0_))\n",
+      "<lambdifygenerated-128822>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(relu(exp(cos(S1 + exp(S1**(-S2)*relu(S2))))))\n",
+      "<lambdifygenerated-128822>:2: RuntimeWarning: invalid value encountered in cos\n",
+      "  return relu(relu(exp(cos(S1 + exp(S1**(-S2)*relu(S2))))))\n",
+      "<lambdifygenerated-128823>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(relu(exp(cos(S1 + exp(S1**(-S2)*relu(S2))))))\n",
+      "<lambdifygenerated-128823>:2: RuntimeWarning: invalid value encountered in cos\n",
+      "  return relu(relu(exp(cos(S1 + exp(S1**(-S2)*relu(S2))))))\n",
+      "<lambdifygenerated-128824>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(relu(exp(cos(S1 + exp(S1**(-S2)*relu(S2))))))\n",
+      "<lambdifygenerated-128824>:2: RuntimeWarning: invalid value encountered in cos\n",
+      "  return relu(relu(exp(cos(S1 + exp(S1**(-S2)*relu(S2))))))\n",
+      " 34%|███▍      | 511/1500 [00:33<01:10, 14.09it/s]<lambdifygenerated-128849>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(_a0_**_a0_)\n",
+      "<lambdifygenerated-128850>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(_a0_**_a0_)\n",
+      "<lambdifygenerated-128855>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return S1**(S2**S2)\n",
+      "<lambdifygenerated-128856>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return S1**(S2**S2)\n",
+      "<lambdifygenerated-128864>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_ + _a0_**S2)/S1**(3/2)\n",
+      "<lambdifygenerated-128865>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_ + _a0_**S2)/S1**(3/2)\n",
+      "<lambdifygenerated-128866>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_ + _a0_**S2)/S1**(3/2)\n",
+      "<lambdifygenerated-128872>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(S2/log(S2))\n",
+      "<lambdifygenerated-128873>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(S2/log(S2))\n",
+      "<lambdifygenerated-128874>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(S2/log(S2))\n",
+      "<lambdifygenerated-128892>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sin(sinh(S1))**(2*_a0_)\n",
+      "<lambdifygenerated-128893>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sin(sinh(S1))**(2*_a0_)\n",
+      "<lambdifygenerated-128894>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return _a0_**(-S2)*sqrt(S2*_a0_)\n",
+      "<lambdifygenerated-128894>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return _a0_**(-S2)*sqrt(S2*_a0_)\n",
+      "<lambdifygenerated-128899>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(relu(exp(tan(S1 + exp(relu(S2)/_a0_)))))\n",
+      " 34%|███▍      | 513/1500 [00:33<01:10, 13.98it/s]<lambdifygenerated-128901>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)**_a0_/S1)\n",
+      "<lambdifygenerated-128918>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu((_a0_/S2)**_a0_)\n",
+      "<lambdifygenerated-128919>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu((_a0_/S2)**_a0_)\n",
+      "<lambdifygenerated-128922>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(tanh(log(S2**3))/S1)\n",
+      "<lambdifygenerated-128923>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(tanh(log(S2**3))/S1)\n",
+      "<lambdifygenerated-128963>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return _a0_**(-_a0_)*exp(-sig(_a0_)/S1)\n",
+      "<lambdifygenerated-128964>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return _a0_**(-_a0_)*exp(-sig(_a0_)/S1)\n",
+      "<lambdifygenerated-128965>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return _a0_**(-_a0_)*exp(-sig(_a0_)/S1)\n",
+      " 34%|███▍      | 515/1500 [00:33<01:11, 13.72it/s]<lambdifygenerated-129000>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return S1**(S1**S1)\n",
+      "<lambdifygenerated-129001>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return S1**(S1**S1)\n",
+      "<lambdifygenerated-129003>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (_a0_ + sqrt(cos(S2)))/S1**(3/2)\n",
+      "<lambdifygenerated-129004>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (_a0_ + sqrt(cos(S2)))/S1**(3/2)\n",
+      "<lambdifygenerated-129005>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (_a0_ + sqrt(cos(S2)))/S1**(3/2)\n",
+      "<lambdifygenerated-129039>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(S2*_a0_)*exp(-fac(_a0_))\n",
+      " 34%|███▍      | 517/1500 [00:33<01:09, 14.06it/s]<lambdifygenerated-129094>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(sig(log(S2**3))/(S1 + _a0_))\n",
+      "<lambdifygenerated-129112>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(exp(cos(S1 + exp(_a0_**(-S1)*relu(S2))))))\n",
+      "<lambdifygenerated-129113>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(exp(cos(S1 + exp(_a0_**(-S1)*relu(S2))))))\n",
+      "<lambdifygenerated-129114>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(exp(cos(S1 + exp(_a0_**(-S1)*relu(S2))))))\n",
+      " 35%|███▍      | 519/1500 [00:33<01:10, 13.99it/s]<lambdifygenerated-129117>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(sin(relu(S2)/(S1*_a0_)))\n",
+      "<lambdifygenerated-129118>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(sin(relu(S2)/(S1*_a0_)))\n",
+      "<lambdifygenerated-129126>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*_a0_**S1))\n",
+      "<lambdifygenerated-129127>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*_a0_**S1))\n",
+      "<lambdifygenerated-129139>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(log(S1))**(-_a0_)\n",
+      "<lambdifygenerated-129140>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(log(S1))**(-_a0_)\n",
+      "<lambdifygenerated-129161>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*(_a0_**S1)**S1))\n",
+      "<lambdifygenerated-129162>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*(_a0_**S1)**S1))\n",
+      "<lambdifygenerated-129163>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*(_a0_**S1)**S1))\n",
+      "<lambdifygenerated-129190>:2: RuntimeWarning: overflow encountered in cosh\n",
+      "  return relu(relu(exp(cosh(S1 + exp(relu(S2)/_a0_)))))\n",
+      "<lambdifygenerated-129190>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(relu(exp(cosh(S1 + exp(relu(S2)/_a0_)))))\n",
+      " 35%|███▍      | 521/1500 [00:34<01:13, 13.28it/s]<lambdifygenerated-129195>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-relu(cos(S2))/(S1*_a0_))\n",
+      "<lambdifygenerated-129196>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-relu(cos(S2))/(S1*_a0_))\n",
+      "<lambdifygenerated-129207>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(cos(S1))**_a0_\n",
+      " 35%|███▍      | 523/1500 [00:34<01:13, 13.25it/s]<lambdifygenerated-129267>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/S1**(3/2))\n",
+      "<lambdifygenerated-129268>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/S1**(3/2))\n",
+      "<lambdifygenerated-129269>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/S1**(3/2))\n",
+      "<lambdifygenerated-129280>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return sinh(S2**S2)**_a0_\n",
+      "<lambdifygenerated-129281>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return sinh(S2**S2)**_a0_\n",
+      "<lambdifygenerated-129303>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(-_a0_**(-S1)*relu(S2)/_a0_)\n",
+      "<lambdifygenerated-129303>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-_a0_**(-S1)*relu(S2)/_a0_)\n",
+      "<lambdifygenerated-129304>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(-_a0_**(-S1)*relu(S2)/_a0_)\n",
+      "<lambdifygenerated-129304>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-_a0_**(-S1)*relu(S2)/_a0_)\n",
+      "<lambdifygenerated-129306>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(cos(S2)/S1)\n",
+      "<lambdifygenerated-129307>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(cos(S2)/S1)\n",
+      "<lambdifygenerated-129313>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(_a0_)**_a0_))\n",
+      "<lambdifygenerated-129314>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(_a0_)**_a0_))\n",
+      "<lambdifygenerated-129318>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(_a0_**S1)**_a0_)\n",
+      "<lambdifygenerated-129319>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(_a0_**S1)**_a0_)\n",
+      "<lambdifygenerated-129320>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(_a0_**S1)**_a0_)\n",
+      "<lambdifygenerated-129321>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(sinh(log(S2**3))/(S1 + _a0_))\n",
+      "<lambdifygenerated-129322>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(sinh(log(S2**3))/(S1 + _a0_))\n",
+      " 35%|███▌      | 525/1500 [00:34<01:12, 13.37it/s]<lambdifygenerated-129358>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_ + _a0_**S2)/S1**(3/2)\n",
+      "<lambdifygenerated-129359>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_ + _a0_**S2)/S1**(3/2)\n",
+      "<lambdifygenerated-129375>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(sqrt(_a0_))/sqrt(S1*S2))\n",
+      " 35%|███▌      | 527/1500 [00:34<01:09, 14.03it/s]<lambdifygenerated-129409>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*_a0_**S1))\n",
+      "<lambdifygenerated-129410>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*_a0_**S1))\n",
+      "<lambdifygenerated-129426>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(S2*_a0_)/sig(S1)\n",
+      "<lambdifygenerated-129431>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(_a0_**3*relu(S2)**3/S1**3)\n",
+      "<lambdifygenerated-129432>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(_a0_**3*relu(S2)**3/S1**3)\n",
+      "<lambdifygenerated-129451>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(sig(log(S1))/(S1 + _a0_))\n",
+      " 35%|███▌      | 529/1500 [00:34<01:10, 13.84it/s]<lambdifygenerated-129493>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(_a0_)**_a0_\n",
+      "<lambdifygenerated-129494>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(_a0_)**_a0_\n",
+      "<lambdifygenerated-129526>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(_a0_**_a0_)**_a0_)\n",
+      "<lambdifygenerated-129527>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(_a0_**_a0_)**_a0_)\n",
+      "<lambdifygenerated-129530>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return S1**(S2**S2)\n",
+      "<lambdifygenerated-129531>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return S1**(S2**S2)\n",
+      " 35%|███▌      | 531/1500 [00:34<01:11, 13.56it/s]<lambdifygenerated-129548>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-_a0_*relu(sin(S1))/S1)\n",
+      "<lambdifygenerated-129549>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-_a0_*relu(sin(S1))/S1)\n",
+      "<lambdifygenerated-129550>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-_a0_*relu(sin(S1))/S1)\n",
+      "<lambdifygenerated-129555>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return exp(-S1)*sin((S1 + S2)**_a0_)**(S2/_a0_)\n",
+      "<lambdifygenerated-129556>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return exp(-S1)*sin((S1 + S2)**_a0_)**(S2/_a0_)\n",
+      "<lambdifygenerated-129558>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(sinh(_a0_))**_a0_))\n",
+      "<lambdifygenerated-129564>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(relu(S1))**_a0_\n",
+      "<lambdifygenerated-129565>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(relu(S1))**_a0_\n",
+      "<lambdifygenerated-129580>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)**_a0_/S1)\n",
+      "<lambdifygenerated-129600>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu((2*_a0_)**_a0_)\n",
+      "<lambdifygenerated-129601>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu((2*_a0_)**_a0_)\n",
+      " 36%|███▌      | 533/1500 [00:34<01:10, 13.63it/s]<lambdifygenerated-129622>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(fac(_a0_*relu(S2)/S1))\n",
+      "<lambdifygenerated-129623>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(fac(_a0_*relu(S2)/S1))\n",
+      "<lambdifygenerated-129645>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(S2*_a0_)/cos(S1)\n",
+      "<lambdifygenerated-129647>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_/S1)**_a0_\n",
+      "<lambdifygenerated-129648>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_/S1)**_a0_\n",
+      "<lambdifygenerated-129669>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*(_a0_**(2*S1))**S1))\n",
+      "<lambdifygenerated-129670>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*(_a0_**(2*S1))**S1))\n",
+      "<lambdifygenerated-129671>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*(_a0_**(2*S1))**S1))\n",
+      "<lambdifygenerated-129672>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(sinh(cos(S1)))**_a0_))\n",
+      "<lambdifygenerated-129673>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(sinh(cos(S1)))**_a0_))\n",
+      "<lambdifygenerated-129674>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(sinh(cos(S1)))**_a0_))\n",
+      " 36%|███▌      | 535/1500 [00:35<01:13, 13.13it/s]<lambdifygenerated-129699>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S2*relu(S2)/relu(S1))\n",
+      "<lambdifygenerated-129700>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S2*relu(S2)/relu(S1))\n",
+      "<lambdifygenerated-129702>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return S2**_a0_/(_a0_ + log(_a0_))\n",
+      "<lambdifygenerated-129716>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu((S2*_a0_)**_a0_)\n",
+      "<lambdifygenerated-129717>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu((S2*_a0_)**_a0_)\n",
+      "<lambdifygenerated-129737>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S1*_a0_**2/relu(S1))\n",
+      "<lambdifygenerated-129738>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S1*_a0_**2/relu(S1))\n",
+      "<lambdifygenerated-129739>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S1*_a0_**2/relu(S1))\n",
+      "<lambdifygenerated-129755>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(sinh(relu(_a0_))**_a0_)\n",
+      "<lambdifygenerated-129756>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(sinh(relu(_a0_))**_a0_)\n",
+      "<lambdifygenerated-129757>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(sinh(relu(_a0_))**_a0_)\n",
+      "<lambdifygenerated-129762>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(exp(-sqrt(_a0_)/S1)/S1)\n",
+      "<lambdifygenerated-129763>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(exp(-sqrt(_a0_)/S1)/S1)\n",
+      " 36%|███▌      | 537/1500 [00:35<01:13, 13.03it/s]<lambdifygenerated-129790>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-129791>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-129796>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return cos(sinh(S1))**(-_a0_)\n",
+      "<lambdifygenerated-129797>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return cos(sinh(S1))**(-_a0_)\n",
+      "<lambdifygenerated-129800>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (sqrt(S1) + _a0_)/(S1*sqrt(_a0_))\n",
+      "<lambdifygenerated-129807>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S1*relu(S2)/relu(S1))\n",
+      "<lambdifygenerated-129808>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S1*relu(S2)/relu(S1))\n",
+      "<lambdifygenerated-129823>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_**_a0_)**_a0_\n",
+      "<lambdifygenerated-129824>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_**_a0_)**_a0_\n",
+      "<lambdifygenerated-129835>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return S2*sqrt(S2*_a0_)/S1\n",
+      " 36%|███▌      | 539/1500 [00:35<01:11, 13.38it/s]<lambdifygenerated-129882>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(exp(cos(_a0_**S2 + exp(_a0_*relu(S2))))))\n",
+      "<lambdifygenerated-129883>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(exp(cos(_a0_**S2 + exp(_a0_*relu(S2))))))\n",
+      "<lambdifygenerated-129884>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(exp(cos(_a0_**S2 + exp(_a0_*relu(S2))))))\n",
+      "<lambdifygenerated-129891>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-2*_a0_**2/relu(S1))\n",
+      "<lambdifygenerated-129892>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-2*_a0_**2/relu(S1))\n",
+      "<lambdifygenerated-129893>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-2*_a0_**2/relu(S1))\n",
+      "<lambdifygenerated-129900>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*tanh(_a0_)**S1))\n",
+      "<lambdifygenerated-129901>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(sinh(S1*_a0_))**_a0_))\n",
+      "<lambdifygenerated-129902>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(sinh(S1*_a0_))**_a0_))\n",
+      "<lambdifygenerated-129903>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(sinh(S1*_a0_))**_a0_))\n",
+      "<lambdifygenerated-129906>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(S2*_a0_)**_a0_)\n",
+      "<lambdifygenerated-129907>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(S2*_a0_)**_a0_)\n",
+      " 36%|███▌      | 541/1500 [00:35<01:12, 13.24it/s]<lambdifygenerated-129929>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(cos(_a0_*relu(S2)/relu(S1)))\n",
+      "<lambdifygenerated-129930>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(cos(_a0_*relu(S2)/relu(S1)))\n",
+      "<lambdifygenerated-129944>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return sinh(relu(_a0_))**_a0_\n",
+      "<lambdifygenerated-129945>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return sinh(relu(_a0_))**_a0_\n",
+      "<lambdifygenerated-129970>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu((S2*_a0_)**_a0_)\n",
+      "<lambdifygenerated-129971>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu((S2*_a0_)**_a0_)\n",
+      " 36%|███▌      | 543/1500 [00:35<01:09, 13.68it/s]<lambdifygenerated-129991>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-_a0_*fac(S2)/relu(S1))\n",
+      "<lambdifygenerated-130016>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(exp(-_a0_**(-S1)*sig(_a0_))/S1)\n",
+      "<lambdifygenerated-130017>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(exp(-_a0_**(-S1)*sig(_a0_))/S1)\n",
+      "<lambdifygenerated-130018>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(exp(-_a0_**(-S1)*sig(_a0_))/S1)\n",
+      "<lambdifygenerated-130050>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(sig(log(S2**2))/(_a0_ + cos(S2)))\n",
+      "<lambdifygenerated-130051>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(sig(log(S2**2))/(_a0_ + cos(S2)))\n",
+      "<lambdifygenerated-130052>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(sig(log(S2**2))/(_a0_ + cos(S2)))\n",
+      " 36%|███▋      | 545/1500 [00:35<01:13, 12.95it/s]<lambdifygenerated-130081>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(sin(S1))**_a0_))\n",
+      "<lambdifygenerated-130082>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(sin(S1))**_a0_))\n",
+      "<lambdifygenerated-130089>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(_a0_**_a0_)\n",
+      "<lambdifygenerated-130090>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(_a0_**_a0_)\n",
+      "<lambdifygenerated-130110>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(relu(S2)/(S1 + _a0_))\n",
+      "<lambdifygenerated-130123>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*(_a0_/S2)**S1))\n",
+      "<lambdifygenerated-130124>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*(_a0_/S2)**S1))\n",
+      "<lambdifygenerated-130125>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*(_a0_/S2)**S1))\n",
+      "<lambdifygenerated-130127>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return abs(relu(relu(S2/_a0_)/sqrt(S2*cos(_a0_))))\n",
+      "<lambdifygenerated-130128>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return abs(relu(relu(S2/_a0_)/sqrt(S2*cos(_a0_))))\n",
+      "<lambdifygenerated-130129>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return abs(relu(relu(S2/_a0_)/sqrt(S2*cos(_a0_))))\n",
+      "<lambdifygenerated-130139>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(_a0_**(-S2)*exp(-sig(_a0_)/S1))\n",
+      "<lambdifygenerated-130140>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(_a0_**(-S2)*exp(-sig(_a0_)/S1))\n",
+      "<lambdifygenerated-130141>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(_a0_**(-S2)*exp(-sig(_a0_)/S1))\n",
+      "<lambdifygenerated-130143>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sinh(S1))**(sqrt(_a0_))\n",
+      " 36%|███▋      | 547/1500 [00:36<01:14, 12.86it/s]<lambdifygenerated-130154>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(tan(_a0_))\n",
+      "<lambdifygenerated-130155>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(tan(_a0_))\n",
+      "<lambdifygenerated-130156>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2))\n",
+      "<lambdifygenerated-130157>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2))\n",
+      "<lambdifygenerated-130158>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2))\n",
+      "<lambdifygenerated-130173>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(sig(log(S2*tanh(S1)))/(S1 + _a0_))\n",
+      "<lambdifygenerated-130183>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return (sqrt(S1) + _a0_)/(S1*sqrt(_a0_**_a0_))\n",
+      "<lambdifygenerated-130184>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return (sqrt(S1) + _a0_)/(S1*sqrt(_a0_**_a0_))\n",
+      "<lambdifygenerated-130185>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return (sqrt(S1) + _a0_)/(S1*sqrt(_a0_**_a0_))\n",
+      "<lambdifygenerated-130214>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(sig(log(S1*S2))/(S1 + _a0_))\n",
+      " 37%|███▋      | 549/1500 [00:36<01:11, 13.35it/s]<lambdifygenerated-130230>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log(-_a0_*relu(S2)/relu(S1*_a0_))\n",
+      "<lambdifygenerated-130231>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log(-_a0_*relu(S2)/relu(S1*_a0_))\n",
+      "<lambdifygenerated-130232>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log(-_a0_*relu(S2)/relu(S1*_a0_))\n",
+      "<lambdifygenerated-130246>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(S2/_a0_)**_a0_)\n",
+      "<lambdifygenerated-130247>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(S2/_a0_)**_a0_)\n",
+      "<lambdifygenerated-130265>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(-(_a0_*relu(S2))**relu(S1))\n",
+      "<lambdifygenerated-130266>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(-(_a0_*relu(S2))**relu(S1))\n",
+      " 37%|███▋      | 551/1500 [00:36<01:10, 13.53it/s]<lambdifygenerated-130307>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(log(S2)/S1)\n",
+      "<lambdifygenerated-130308>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(log(S2)/S1)\n",
+      "<lambdifygenerated-130321>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S2/_a0_)**_a0_\n",
+      "<lambdifygenerated-130322>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S2/_a0_)**_a0_\n",
+      "<lambdifygenerated-130336>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (sqrt(S1) + _a0_)/(S1*sqrt(_a0_))\n",
+      "<lambdifygenerated-130354>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*tanh(_a0_)**S1))\n",
+      " 37%|███▋      | 553/1500 [00:36<01:07, 14.01it/s]<lambdifygenerated-130383>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(sin(relu(S2)/(_a0_*relu(S1))))\n",
+      "<lambdifygenerated-130399>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu((_a0_/S1)**_a0_)\n",
+      "<lambdifygenerated-130400>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu((_a0_/S1)**_a0_)\n",
+      "<lambdifygenerated-130401>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu((_a0_/S1)**_a0_)\n",
+      "<lambdifygenerated-130425>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(S2*_a0_*relu(S1)))\n",
+      " 37%|███▋      | 555/1500 [00:36<01:06, 14.23it/s]<lambdifygenerated-130452>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S2**(-_a0_)*relu(S2)/relu(S1))\n",
+      "<lambdifygenerated-130453>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S2**(-_a0_)*relu(S2)/relu(S1))\n",
+      "<lambdifygenerated-130454>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S2**(-_a0_)*relu(S2)/relu(S1))\n",
+      "<lambdifygenerated-130462>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(sinh(_a0_))**_a0_)\n",
+      "<lambdifygenerated-130463>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(sinh(_a0_))**_a0_)\n",
+      "<lambdifygenerated-130480>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(S1*relu(S1)))\n",
+      " 37%|███▋      | 557/1500 [00:36<01:02, 15.12it/s]<lambdifygenerated-130512>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-(_a0_ + relu(S2))/relu(S1))\n",
+      "<lambdifygenerated-130513>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-(_a0_ + relu(S2))/relu(S1))\n",
+      "<lambdifygenerated-130541>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (_a0_ + sqrt(S2 + _a0_))/S1**(3/2)\n",
+      "<lambdifygenerated-130542>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (_a0_ + sqrt(S2 + _a0_))/S1**(3/2)\n",
+      "<lambdifygenerated-130543>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (_a0_ + sqrt(S2 + _a0_))/S1**(3/2)\n",
+      "<lambdifygenerated-130549>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/_a0_**2)\n",
+      "<lambdifygenerated-130550>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/_a0_**2)\n",
+      "<lambdifygenerated-130573>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_ + _a0_**S1)/S1**(3/2)\n",
+      "<lambdifygenerated-130574>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_ + _a0_**S1)/S1**(3/2)\n",
+      "<lambdifygenerated-130577>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sin(_a0_)**_a0_\n",
+      "<lambdifygenerated-130578>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sin(_a0_)**_a0_\n",
+      " 37%|███▋      | 559/1500 [00:36<01:02, 15.03it/s]<lambdifygenerated-130582>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(sin(relu(S2)/(_a0_*relu(S1))))\n",
+      "<lambdifygenerated-130613>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(log(S1)))**(-_a0_)\n",
+      "<lambdifygenerated-130614>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(log(S1)))**(-_a0_)\n",
+      "<lambdifygenerated-130615>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(log(S1)))**(-_a0_)\n",
+      "<lambdifygenerated-130642>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(log(S2**2)**3/S1)\n",
+      "<lambdifygenerated-130643>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(log(S2**2)**3/S1)\n",
+      " 37%|███▋      | 561/1500 [00:36<01:05, 14.42it/s]<lambdifygenerated-130693>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sqrt(-sig(_a0_)/S1)/S1)\n",
+      "<lambdifygenerated-130694>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sqrt(-sig(_a0_)/S1)/S1)\n",
+      "<lambdifygenerated-130717>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu(relu(sinh(_a0_**_a0_))**_a0_))\n",
+      "<lambdifygenerated-130718>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu(relu(sinh(_a0_**_a0_))**_a0_))\n",
+      "<lambdifygenerated-130719>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu(relu(sinh(_a0_**_a0_))**_a0_))\n",
+      "<lambdifygenerated-130723>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(relu(tan(S1)))**_a0_)\n",
+      "<lambdifygenerated-130724>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(relu(tan(S1)))**_a0_)\n",
+      "<lambdifygenerated-130725>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(relu(tan(S1)))**_a0_)\n",
+      "<lambdifygenerated-130729>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(exp(-_a0_**(-_a0_)*sig(_a0_))/S1)\n",
+      "<lambdifygenerated-130730>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(exp(-_a0_**(-_a0_)*sig(_a0_))/S1)\n",
+      "<lambdifygenerated-130731>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(exp(-_a0_**(-_a0_)*sig(_a0_))/S1)\n",
+      " 38%|███▊      | 563/1500 [00:37<01:40,  9.33it/s]<lambdifygenerated-130741>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)**_a0_/relu(S1))\n",
+      "<lambdifygenerated-130742>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)**_a0_/relu(S1))\n",
+      " 38%|███▊      | 565/1500 [00:37<01:29, 10.45it/s]<lambdifygenerated-130829>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(S2/_a0_)/sqrt(log(S1)))\n",
+      "<lambdifygenerated-130830>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(S2/_a0_)/sqrt(log(S1)))\n",
+      "<lambdifygenerated-130831>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(S2/_a0_)/sqrt(log(S1)))\n",
+      "<lambdifygenerated-130834>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(_a0_/S1)**_a0_)\n",
+      "<lambdifygenerated-130835>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(_a0_/S1)**_a0_)\n",
+      "<lambdifygenerated-130845>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(-S1)**(-_a0_)\n",
+      "<lambdifygenerated-130851>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(S1)**_a0_\n",
+      "<lambdifygenerated-130878>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(_a0_)**_a0_)\n",
+      "<lambdifygenerated-130879>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(_a0_)**_a0_)\n",
+      "<lambdifygenerated-130892>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (sqrt(_a0_) + _a0_)/S1**(3/2)\n",
+      " 38%|███▊      | 567/1500 [00:37<01:23, 11.24it/s]<lambdifygenerated-130898>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log(-relu(relu(S2))/(_a0_*relu(_a0_)))\n",
+      "<lambdifygenerated-130899>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log(-relu(relu(S2))/(_a0_*relu(_a0_)))\n",
+      "<lambdifygenerated-130918>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-130919>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-130920>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(S2/_a0_)**_a0_)\n",
+      "<lambdifygenerated-130921>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(S2/_a0_)**_a0_)\n",
+      "<lambdifygenerated-130933>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(tan(S1)/_a0_)*exp(-S1)\n",
+      "<lambdifygenerated-130934>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(tan(S1)/_a0_)*exp(-S1)\n",
+      "<lambdifygenerated-130935>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(tan(S1)/_a0_)*exp(-S1)\n",
+      "<lambdifygenerated-130937>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(exp(cos(S1 + exp(sqrt(_a0_))))))\n",
+      "<lambdifygenerated-130938>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(exp(cos(S1 + exp(sqrt(_a0_))))))\n",
+      "<lambdifygenerated-130939>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(exp(cos(S1 + exp(sqrt(_a0_))))))\n",
+      "<lambdifygenerated-130952>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*_a0_**S1))\n",
+      "<lambdifygenerated-130953>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*_a0_**S1))\n",
+      "<lambdifygenerated-130963>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(relu(S1 + _a0_))**_a0_)\n",
+      "<lambdifygenerated-130964>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(relu(S1 + _a0_))**_a0_)\n",
+      "<lambdifygenerated-130965>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(relu(S1 + _a0_))**_a0_)\n",
+      "<lambdifygenerated-130972>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return exp(-S1)/_a0_**(1/4)\n",
+      " 38%|███▊      | 569/1500 [00:37<01:18, 11.85it/s]<lambdifygenerated-130988>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(-S2*_a0_**S1))\n",
+      "<lambdifygenerated-130989>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(-S2*_a0_**S1))\n",
+      "<lambdifygenerated-130991>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(relu(sinh(sqrt(_a0_)))**_a0_))\n",
+      "<lambdifygenerated-130992>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(relu(sinh(sqrt(_a0_)))**_a0_))\n",
+      "<lambdifygenerated-130993>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(relu(sinh(sqrt(_a0_)))**_a0_))\n",
+      "<lambdifygenerated-131002>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(exp(-_a0_**(-_a0_)*sig(_a0_))/S1)\n",
+      "<lambdifygenerated-131003>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(exp(-_a0_**(-_a0_)*sig(_a0_))/S1)\n",
+      "<lambdifygenerated-131004>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(sinh(S1))**(S2**S1)\n",
+      "<lambdifygenerated-131005>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(sinh(S1))**(S2**S1)\n",
+      "<lambdifygenerated-131006>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(sinh(S1))**(S2**S1)\n",
+      "<lambdifygenerated-131018>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(_a0_))\n",
+      "<lambdifygenerated-131019>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(_a0_))\n",
+      "<lambdifygenerated-131024>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*(S1 + _a0_)**S1))\n",
+      "<lambdifygenerated-131025>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*(S1 + _a0_)**S1))\n",
+      "<lambdifygenerated-131029>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu(relu(sinh(_a0_**_a0_))**_a0_))\n",
+      "<lambdifygenerated-131030>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu(relu(sinh(_a0_**_a0_))**_a0_))\n",
+      "<lambdifygenerated-131049>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return exp(-S1)*sqrt(sin(S2))\n",
+      "<lambdifygenerated-131050>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return exp(-S1)*sqrt(sin(S2))\n",
+      "<lambdifygenerated-131051>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return exp(-S1)*sqrt(sin(S2))\n",
+      " 38%|███▊      | 571/1500 [00:37<01:13, 12.64it/s]<lambdifygenerated-131059>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-relu(_a0_)/(_a0_*relu(S1)))\n",
+      "<lambdifygenerated-131060>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-relu(_a0_)/(_a0_*relu(S1)))\n",
+      "<lambdifygenerated-131070>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(sinh(S1 + _a0_))**_a0_))\n",
+      "<lambdifygenerated-131071>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(sinh(S1 + _a0_))**_a0_))\n",
+      "<lambdifygenerated-131072>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(sinh(S1 + _a0_))**_a0_))\n",
+      "<lambdifygenerated-131093>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-relu(relu(S2/_a0_))/(_a0_*relu(S1)))\n",
+      "<lambdifygenerated-131094>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-relu(relu(S2/_a0_))/(_a0_*relu(S1)))\n",
+      "<lambdifygenerated-131095>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-relu(relu(S2/_a0_))/(_a0_*relu(S1)))\n",
+      "<lambdifygenerated-131107>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(_a0_)**_a0_))\n",
+      "<lambdifygenerated-131108>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(_a0_)**_a0_))\n",
+      "<lambdifygenerated-131109>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(S2/_a0_)/sqrt(log(S2)))\n",
+      "<lambdifygenerated-131110>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(S2/_a0_)/sqrt(log(S2)))\n",
+      "<lambdifygenerated-131111>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(S2/_a0_)/sqrt(log(S2)))\n",
+      "<lambdifygenerated-131114>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(log(S1))**_a0_)\n",
+      "<lambdifygenerated-131132>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(sin(S2))**_a0_\n",
+      "<lambdifygenerated-131133>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(sin(S2))**_a0_\n",
+      " 38%|███▊      | 573/1500 [00:38<01:10, 13.14it/s]<lambdifygenerated-131144>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu(S2*(_a0_**_a0_)**S1))\n",
+      "<lambdifygenerated-131145>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu(S2*(_a0_**_a0_)**S1))\n",
+      "<lambdifygenerated-131154>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(tan(S1))**_a0_)\n",
+      "<lambdifygenerated-131155>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(tan(S1))**_a0_)\n",
+      "<lambdifygenerated-131161>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(_a0_)**_a0_\n",
+      "<lambdifygenerated-131162>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(_a0_)**_a0_\n",
+      "<lambdifygenerated-131172>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(relu(S2))/(_a0_*relu(2*S2)))\n",
+      "<lambdifygenerated-131200>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(S1/_a0_)*exp(-S1)\n",
+      "<lambdifygenerated-131208>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_/S2)**_a0_\n",
+      "<lambdifygenerated-131209>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_/S2)**_a0_\n",
+      " 38%|███▊      | 575/1500 [00:38<01:07, 13.65it/s]<lambdifygenerated-131212>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(relu(S2))**_a0_/relu(S1))\n",
+      "<lambdifygenerated-131213>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(relu(S2))**_a0_/relu(S1))\n",
+      "<lambdifygenerated-131214>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(_a0_))\n",
+      "<lambdifygenerated-131215>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(_a0_))\n",
+      "<lambdifygenerated-131233>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(sinh(relu(_a0_))**_a0_)\n",
+      "<lambdifygenerated-131261>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(_a0_**_a0_/(S1 + _a0_))\n",
+      "<lambdifygenerated-131272>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sinh(relu(S1))**(sqrt(_a0_)))\n",
+      "<lambdifygenerated-131273>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sinh(relu(S1))**(sqrt(_a0_)))\n",
+      "<lambdifygenerated-131274>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sinh(relu(S1))**(sqrt(_a0_)))\n",
+      "<lambdifygenerated-131283>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(log(S1))**(-_a0_)\n",
+      "<lambdifygenerated-131287>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(relu(exp(relu(S1 + exp(S2/_a0_)))))\n",
+      " 38%|███▊      | 577/1500 [00:38<01:07, 13.71it/s]<lambdifygenerated-131301>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(relu(S2*log(_a0_)**S1))\n",
+      "<lambdifygenerated-131302>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(relu(S2*log(_a0_)**S1))\n",
+      "<lambdifygenerated-131304>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(S2/_a0_)**_a0_))\n",
+      "<lambdifygenerated-131305>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(S2/_a0_)**_a0_))\n",
+      "<lambdifygenerated-131315>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(exp(-sig(_a0_**S2)/S1)/S1)\n",
+      "<lambdifygenerated-131316>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(exp(-sig(_a0_**S2)/S1)/S1)\n",
+      "<lambdifygenerated-131317>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(exp(-sig(_a0_**S2)/S1)/S1)\n",
+      "<lambdifygenerated-131320>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return cos(sinh(S1))**(-_a0_)\n",
+      "<lambdifygenerated-131353>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(_a0_)**_a0_)\n",
+      "<lambdifygenerated-131354>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(_a0_)**_a0_)\n",
+      " 39%|███▊      | 579/1500 [00:38<01:06, 13.77it/s]<lambdifygenerated-131371>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(-(relu(relu(S2))/_a0_)**relu(S1))\n",
+      "<lambdifygenerated-131372>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(-(relu(relu(S2))/_a0_)**relu(S1))\n",
+      "<lambdifygenerated-131382>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(sinh(log(S1)))**_a0_))\n",
+      "<lambdifygenerated-131383>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(sinh(log(S1)))**_a0_))\n",
+      "<lambdifygenerated-131384>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(sinh(log(S1)))**_a0_))\n",
+      "<lambdifygenerated-131406>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log(-relu(relu(S2))/(_a0_*relu(sin(S1))))\n",
+      "<lambdifygenerated-131407>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log(-relu(relu(S2))/(_a0_*relu(sin(S1))))\n",
+      "<lambdifygenerated-131408>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log(-relu(relu(S2))/(_a0_*relu(sin(S1))))\n",
+      " 39%|███▊      | 581/1500 [00:38<01:06, 13.85it/s]<lambdifygenerated-131444>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(relu(S2))/(_a0_*(S1 + S2)))\n",
+      "<lambdifygenerated-131464>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return sinh(relu(_a0_))**_a0_\n",
+      "<lambdifygenerated-131467>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sqrt(sig(log(S2*_a0_/S1))/S1)\n",
+      " 39%|███▉      | 583/1500 [00:38<01:07, 13.58it/s]<lambdifygenerated-131536>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-131537>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-131549>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(S1**2/_a0_)*exp(-S1)\n",
+      "<lambdifygenerated-131561>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(relu(S2))/((S1 + _a0_)*relu(S1)))\n",
+      "<lambdifygenerated-131562>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(relu(S2))/((S1 + _a0_)*relu(S1)))\n",
+      "<lambdifygenerated-131563>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(relu(S2))/((S1 + _a0_)*relu(S1)))\n",
+      "<lambdifygenerated-131588>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return S1**(S2**S1)\n",
+      "<lambdifygenerated-131589>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return S1**(S2**S1)\n",
+      "<lambdifygenerated-131600>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(S1)**_a0_\n",
+      " 39%|███▉      | 585/1500 [00:38<01:09, 13.22it/s]<lambdifygenerated-131601>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(-_a0_**(-S1)*relu(relu(S2))/relu(S1))\n",
+      "<lambdifygenerated-131602>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(-_a0_**(-S1)*relu(relu(S2))/relu(S1))\n",
+      "<lambdifygenerated-131603>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(-_a0_**(-S1)*relu(relu(S2))/relu(S1))\n",
+      "<lambdifygenerated-131619>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(_a0_)**_a0_)\n",
+      "<lambdifygenerated-131620>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(_a0_)**_a0_)\n",
+      "<lambdifygenerated-131660>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return sinh(relu(cos(S2)))**_a0_\n",
+      "<lambdifygenerated-131661>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return sinh(relu(cos(S2)))**_a0_\n",
+      "<lambdifygenerated-131662>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return sinh(relu(cos(S2)))**_a0_\n",
+      "<lambdifygenerated-131674>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return _a0_*sqrt(S2/_a0_)/S1\n",
+      " 39%|███▉      | 587/1500 [00:39<01:11, 12.77it/s]<lambdifygenerated-131702>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return sinh(relu(_a0_))**_a0_\n",
+      "<lambdifygenerated-131703>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(_a0_)**_a0_)\n",
+      "<lambdifygenerated-131704>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(_a0_)**_a0_)\n",
+      "<lambdifygenerated-131718>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S1 + _a0_)**_a0_\n",
+      "<lambdifygenerated-131719>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S1 + _a0_)**_a0_\n",
+      "<lambdifygenerated-131725>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(relu(log(S2/S1)))\n",
+      "<lambdifygenerated-131726>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(relu(log(S2/S1)))\n",
+      "<lambdifygenerated-131751>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(S2/_a0_)*exp(-sqrt(S2))\n",
+      "<lambdifygenerated-131754>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return cos(sinh(S1))**(-_a0_)\n",
+      " 39%|███▉      | 589/1500 [00:39<01:08, 13.36it/s]<lambdifygenerated-131758>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log(-relu(relu(S2))/(_a0_*relu(S1 + _a0_)))\n",
+      "<lambdifygenerated-131759>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log(-relu(relu(S2))/(_a0_*relu(S1 + _a0_)))\n",
+      "<lambdifygenerated-131760>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log(-relu(relu(S2))/(_a0_*relu(S1 + _a0_)))\n",
+      "<lambdifygenerated-131773>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(_a0_)**_a0_))\n",
+      "<lambdifygenerated-131774>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(_a0_)**_a0_))\n",
+      "<lambdifygenerated-131778>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sqrt(sig(log(S2*sin(S2)))/S1)\n",
+      "<lambdifygenerated-131779>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sqrt(sig(log(S2*sin(S2)))/S1)\n",
+      "<lambdifygenerated-131780>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(S2/_a0_)**_a0_)\n",
+      "<lambdifygenerated-131781>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(S2/_a0_)**_a0_)\n",
+      " 39%|███▉      | 591/1500 [00:39<01:08, 13.24it/s]<lambdifygenerated-131838>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S2**(-S1)*relu(relu(S2))/_a0_)\n",
+      "<lambdifygenerated-131873>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(sinh(S1))**(-S2**S2)\n",
+      "<lambdifygenerated-131874>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(sinh(S1))**(-S2**S2)\n",
+      "<lambdifygenerated-131875>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(sinh(S1))**(-S2**S2)\n",
+      "<lambdifygenerated-131879>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(relu(S2))/(S2*relu(S1)))\n",
+      "<lambdifygenerated-131880>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(relu(S2))/(S2*relu(S1)))\n",
+      "<lambdifygenerated-131884>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(cos(S1)**_a0_/(S1 + _a0_))\n",
+      "<lambdifygenerated-131885>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(cos(S1)**_a0_/(S1 + _a0_))\n",
+      "<lambdifygenerated-131886>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(cos(S1)**_a0_/(S1 + _a0_))\n",
+      "<lambdifygenerated-131898>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(_a0_)**_a0_))\n",
+      "<lambdifygenerated-131899>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(_a0_)**_a0_))\n",
+      "<lambdifygenerated-131913>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(S2/_a0_)*exp(-2*S2)\n",
+      " 40%|███▉      | 593/1500 [00:39<01:10, 12.85it/s]<lambdifygenerated-131937>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return (S2/_a0_ + sin((2*S1 + S2)**(S1**S1)))*exp(-S1)\n",
+      "<lambdifygenerated-131937>:2: RuntimeWarning: invalid value encountered in sin\n",
+      "  return (S2/_a0_ + sin((2*S1 + S2)**(S1**S1)))*exp(-S1)\n",
+      "<lambdifygenerated-131938>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return (S2/_a0_ + sin((2*S1 + S2)**(S1**S1)))*exp(-S1)\n",
+      "<lambdifygenerated-131938>:2: RuntimeWarning: invalid value encountered in sin\n",
+      "  return (S2/_a0_ + sin((2*S1 + S2)**(S1**S1)))*exp(-S1)\n",
+      "<lambdifygenerated-131939>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return (S2/_a0_ + sin((2*S1 + S2)**(S1**S1)))*exp(-S1)\n",
+      "<lambdifygenerated-131939>:2: RuntimeWarning: invalid value encountered in sin\n",
+      "  return (S2/_a0_ + sin((2*S1 + S2)**(S1**S1)))*exp(-S1)\n",
+      "<lambdifygenerated-131943>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(relu(S2*log(_a0_)**S1))\n",
+      "<lambdifygenerated-131944>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(_a0_)**_a0_))\n",
+      "<lambdifygenerated-131945>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(_a0_)**_a0_))\n",
+      "<lambdifygenerated-131958>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(relu(exp((S1 + exp(S2/_a0_))**3)))\n",
+      "<lambdifygenerated-131960>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(sinh(S1))**fac(_a0_)\n",
+      "<lambdifygenerated-131965>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-relu(S2 + _a0_)/(_a0_*relu(S1)))\n",
+      "<lambdifygenerated-131966>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-relu(S2 + _a0_)/(_a0_*relu(S1)))\n",
+      "<lambdifygenerated-131967>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-relu(S2 + _a0_)/(_a0_*relu(S1)))\n",
+      "<lambdifygenerated-131986>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(sig(log(S2*relu(S2)))/(S1 + _a0_))\n",
+      "<lambdifygenerated-131989>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu((-sinh(S1))**_a0_)\n",
+      "<lambdifygenerated-131990>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu((-sinh(S1))**_a0_)\n",
+      "<lambdifygenerated-131991>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(exp(-_a0_/(S1*S2))/S1)\n",
+      "<lambdifygenerated-131992>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(exp(-_a0_/(S1*S2))/S1)\n",
+      "<lambdifygenerated-131993>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(exp(-_a0_/(S1*S2))/S1)\n",
+      "<lambdifygenerated-132001>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (sqrt(S1) + _a0_)/(S1*sqrt(_a0_))\n",
+      " 40%|███▉      | 595/1500 [00:39<01:09, 13.01it/s]<lambdifygenerated-132004>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(cos(S1))\n",
+      "<lambdifygenerated-132005>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(cos(S1))\n",
+      "<lambdifygenerated-132006>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(_a0_))\n",
+      "<lambdifygenerated-132007>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(_a0_))\n",
+      "<lambdifygenerated-132008>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu((S1*_a0_)**_a0_/(S1 + _a0_))\n",
+      "<lambdifygenerated-132036>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return cos(S1)**_a0_\n",
+      "<lambdifygenerated-132040>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(cos(S1)))\n",
+      "<lambdifygenerated-132041>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(cos(S1)))\n",
+      "<lambdifygenerated-132042>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(cos(S1)))\n",
+      "<lambdifygenerated-132051>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*(_a0_/S2)**S1))\n",
+      "<lambdifygenerated-132052>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*(_a0_/S2)**S1))\n",
+      "<lambdifygenerated-132053>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(relu(_a0_**S2)**_a0_))\n",
+      "<lambdifygenerated-132053>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(_a0_**S2)**_a0_))\n",
+      "<lambdifygenerated-132054>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(relu(_a0_**S2)**_a0_))\n",
+      "<lambdifygenerated-132054>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(_a0_**S2)**_a0_))\n",
+      "<lambdifygenerated-132058>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(tan(S1))**_a0_\n",
+      "<lambdifygenerated-132070>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return sinh(S1)**(S2**S2)\n",
+      "<lambdifygenerated-132071>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return sinh(S1)**(S2**S2)\n",
+      " 40%|███▉      | 597/1500 [00:39<01:05, 13.81it/s]<lambdifygenerated-132095>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(sin(S1)/_a0_)*exp(-S1)\n",
+      "<lambdifygenerated-132096>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(sin(S1)/_a0_)*exp(-S1)\n",
+      "<lambdifygenerated-132097>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(sin(S1)/_a0_)*exp(-S1)\n",
+      "<lambdifygenerated-132105>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(tan(S1))**_a0_\n",
+      "<lambdifygenerated-132106>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(tan(S1))**_a0_\n",
+      "<lambdifygenerated-132107>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(relu(S2))/(_a0_*relu(S2)))\n",
+      "<lambdifygenerated-132130>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_**_a0_)**_a0_\n",
+      "<lambdifygenerated-132131>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_**_a0_)**_a0_\n",
+      "<lambdifygenerated-132132>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(tan(log(S2*relu(S2)))/S1)\n",
+      "<lambdifygenerated-132133>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(tan(log(S2*relu(S2)))/S1)\n",
+      "<lambdifygenerated-132134>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(_a0_)**_a0_)\n",
+      "<lambdifygenerated-132135>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(_a0_)**_a0_)\n",
+      " 40%|███▉      | 599/1500 [00:40<01:13, 12.18it/s]<lambdifygenerated-132161>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(S2/_a0_)/sqrt(sin(S1)))\n",
+      "<lambdifygenerated-132162>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(S2/_a0_)/sqrt(sin(S1)))\n",
+      "<lambdifygenerated-132163>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(S2/_a0_)/sqrt(sin(S1)))\n",
+      "<lambdifygenerated-132182>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-relu(relu(cos(S2)))/(_a0_*relu(S1)))\n",
+      "<lambdifygenerated-132183>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-relu(relu(cos(S2)))/(_a0_*relu(S1)))\n",
+      "<lambdifygenerated-132184>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-relu(relu(cos(S2)))/(_a0_*relu(S1)))\n",
+      " 40%|████      | 601/1500 [00:40<01:34,  9.49it/s]<lambdifygenerated-132262>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(_a0_))\n",
+      "<lambdifygenerated-132263>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(_a0_))\n",
+      " 40%|████      | 603/1500 [00:40<01:30,  9.91it/s]<lambdifygenerated-132300>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S2**(-S2)*relu(relu(S2))/relu(S1))\n",
+      "<lambdifygenerated-132301>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S2**(-S2)*relu(relu(S2))/relu(S1))\n",
+      "<lambdifygenerated-132302>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S2**(-S2)*relu(relu(S2))/relu(S1))\n",
+      "<lambdifygenerated-132318>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(S2)*sig(sinh(_a0_))**(S1*_a0_)\n",
+      "<lambdifygenerated-132333>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return exp(-S1)*sqrt(cos(_a0_))\n",
+      "<lambdifygenerated-132336>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return S1**(_a0_**S1)\n",
+      "<lambdifygenerated-132337>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return S1**(_a0_**S1)\n",
+      "<lambdifygenerated-132338>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(exp(cos(sqrt(_a0_) + exp(S2/_a0_)))))\n",
+      "<lambdifygenerated-132339>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(exp(cos(sqrt(_a0_) + exp(S2/_a0_)))))\n",
+      "<lambdifygenerated-132340>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(exp(cos(sqrt(_a0_) + exp(S2/_a0_)))))\n",
+      "<lambdifygenerated-132352>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(_a0_))\n",
+      "<lambdifygenerated-132353>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(_a0_))\n",
+      "<lambdifygenerated-132371>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(tan(S1))**_a0_))\n",
+      "<lambdifygenerated-132383>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(tanh(_a0_))**_a0_\n",
+      "<lambdifygenerated-132384>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(tanh(_a0_))**_a0_\n",
+      "<lambdifygenerated-132388>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return _a0_**(sqrt(S1))/S1**(3/2)\n",
+      " 40%|████      | 605/1500 [00:40<01:26, 10.32it/s]<lambdifygenerated-132454>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(_a0_)**_a0_)\n",
+      "<lambdifygenerated-132455>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(_a0_)**_a0_)\n",
+      " 40%|████      | 607/1500 [00:40<01:24, 10.55it/s]<lambdifygenerated-132468>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-relu(relu(_a0_))/(_a0_*relu(S1)))\n",
+      "<lambdifygenerated-132469>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-relu(relu(_a0_))/(_a0_*relu(S1)))\n",
+      "<lambdifygenerated-132483>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(relu(_a0_**S2)**_a0_))\n",
+      "<lambdifygenerated-132483>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(_a0_**S2)**_a0_))\n",
+      "<lambdifygenerated-132484>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(relu(_a0_**S2)**_a0_))\n",
+      "<lambdifygenerated-132484>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(_a0_**S2)**_a0_))\n",
+      "<lambdifygenerated-132486>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(relu(S2 + _a0_))**_a0_)\n",
+      "<lambdifygenerated-132487>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(relu(S2 + _a0_))**_a0_)\n",
+      "<lambdifygenerated-132488>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(relu(S2 + _a0_))**_a0_)\n",
+      "<lambdifygenerated-132510>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(relu(S2*exp(2*exp(S2))**S1))\n",
+      "<lambdifygenerated-132511>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(relu(S2*exp(2*exp(S2))**S1))\n",
+      "<lambdifygenerated-132512>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(relu(S2*exp(2*exp(S2))**S1))\n",
+      "<lambdifygenerated-132519>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(tan(log(S2*relu(S2)))/S1)\n",
+      " 41%|████      | 609/1500 [00:41<01:17, 11.55it/s]<lambdifygenerated-132551>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(sinh(_a0_))**_a0_))\n",
+      "<lambdifygenerated-132561>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(log(S1)))**_a0_\n",
+      "<lambdifygenerated-132562>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(log(S1)))**_a0_\n",
+      "<lambdifygenerated-132590>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(relu(exp(cos(S1 + exp(S2**_a0_)))))\n",
+      "<lambdifygenerated-132590>:2: RuntimeWarning: invalid value encountered in cos\n",
+      "  return relu(relu(exp(cos(S1 + exp(S2**_a0_)))))\n",
+      "<lambdifygenerated-132591>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(relu(exp(cos(S1 + exp(S2**_a0_)))))\n",
+      "<lambdifygenerated-132591>:2: RuntimeWarning: invalid value encountered in cos\n",
+      "  return relu(relu(exp(cos(S1 + exp(S2**_a0_)))))\n",
+      " 41%|████      | 611/1500 [00:41<01:15, 11.80it/s]<lambdifygenerated-132595>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(cos(S2)/S1)\n",
+      "<lambdifygenerated-132596>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(cos(S2)/S1)\n",
+      "<lambdifygenerated-132597>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-relu(relu(_a0_/S1))/(_a0_*relu(S1)))\n",
+      "<lambdifygenerated-132598>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-relu(relu(_a0_/S1))/(_a0_*relu(S1)))\n",
+      "<lambdifygenerated-132599>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-relu(relu(_a0_/S1))/(_a0_*relu(S1)))\n",
+      "<lambdifygenerated-132627>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(_a0_)**_a0_\n",
+      "<lambdifygenerated-132628>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(_a0_)**_a0_\n",
+      "<lambdifygenerated-132631>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-relu(relu(S2/_a0_))/(_a0_*relu(S1)))\n",
+      "<lambdifygenerated-132632>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-relu(relu(S2/_a0_))/(_a0_*relu(S1)))\n",
+      " 41%|████      | 613/1500 [00:41<01:16, 11.60it/s]<lambdifygenerated-132688>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(relu(tan(S2)))**_a0_)\n",
+      "<lambdifygenerated-132689>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(relu(tan(S2)))**_a0_)\n",
+      "<lambdifygenerated-132690>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(relu(tan(S2)))**_a0_)\n",
+      "<lambdifygenerated-132694>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(exp(-_a0_**_a0_/S1)/S1)\n",
+      "<lambdifygenerated-132695>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(exp(-_a0_**_a0_/S1)/S1)\n",
+      "<lambdifygenerated-132696>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(exp(-_a0_**_a0_/S1)/S1)\n",
+      "<lambdifygenerated-132719>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return sinh(S2**S2)**_a0_\n",
+      "<lambdifygenerated-132720>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return sinh(S2**S2)**_a0_\n",
+      " 41%|████      | 615/1500 [00:41<01:14, 11.81it/s]<lambdifygenerated-132758>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(relu(-S2))**_a0_)\n",
+      "<lambdifygenerated-132759>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(relu(-S2))**_a0_)\n",
+      "<lambdifygenerated-132760>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(relu(-S2))**_a0_)\n",
+      "<lambdifygenerated-132771>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2**_a0_)/(_a0_*relu(S1)))\n",
+      "<lambdifygenerated-132796>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(exp(cos(S1 + sqrt(S2/_a0_)))))\n",
+      "<lambdifygenerated-132797>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(exp(cos(S1 + sqrt(S2/_a0_)))))\n",
+      "<lambdifygenerated-132800>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (sqrt(_a0_) + _a0_)/S1**(3/2)\n",
+      " 41%|████      | 617/1500 [00:41<01:11, 12.32it/s]<lambdifygenerated-132801>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-(_a0_ + relu(relu(S2)))/relu(S1))\n",
+      "<lambdifygenerated-132802>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-(_a0_ + relu(relu(S2)))/relu(S1))\n",
+      "<lambdifygenerated-132803>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(cos(S1)/S1))\n",
+      "<lambdifygenerated-132804>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(cos(S1)/S1))\n",
+      "<lambdifygenerated-132805>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(cos(S1)/S1))\n",
+      "<lambdifygenerated-132817>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(sinh(tan(_a0_)))**_a0_))\n",
+      "<lambdifygenerated-132818>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(sinh(tan(_a0_)))**_a0_))\n",
+      "<lambdifygenerated-132819>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(sinh(tan(_a0_)))**_a0_))\n",
+      "<lambdifygenerated-132823>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(log(relu(S1))**_a0_)\n",
+      "<lambdifygenerated-132871>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(sinh(sin(_a0_)))**_a0_\n",
+      "<lambdifygenerated-132872>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(sinh(sin(_a0_)))**_a0_\n",
+      "<lambdifygenerated-132873>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(sinh(sin(_a0_)))**_a0_\n",
+      " 41%|████▏     | 619/1500 [00:41<01:12, 12.20it/s]<lambdifygenerated-132897>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(sinh(relu(_a0_))**_a0_)\n",
+      "<lambdifygenerated-132927>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(sinh(relu(_a0_)))**_a0_))\n",
+      "<lambdifygenerated-132928>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(sinh(relu(_a0_)))**_a0_))\n",
+      "<lambdifygenerated-132931>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(tanh(log(S2*relu(S2)))/S1)\n",
+      "<lambdifygenerated-132932>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(tanh(log(S2*relu(S2)))/S1)\n",
+      "<lambdifygenerated-132946>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(S1))**(_a0_**S1)\n",
+      "<lambdifygenerated-132947>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(S1))**(_a0_**S1)\n",
+      "<lambdifygenerated-132948>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(S1))**(_a0_**S1)\n",
+      " 41%|████▏     | 621/1500 [00:42<01:12, 12.11it/s]<lambdifygenerated-132950>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-relu(relu(log(S1)))/(_a0_*relu(S1)))\n",
+      "<lambdifygenerated-132951>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-relu(relu(log(S1)))/(_a0_*relu(S1)))\n",
+      "<lambdifygenerated-132952>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-relu(relu(log(S1)))/(_a0_*relu(S1)))\n",
+      "<lambdifygenerated-132974>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sqrt(sig(log(S2*(S2 + _a0_)))/S1)\n",
+      "<lambdifygenerated-132977>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return relu(sinh(S2**S2)**_a0_)\n",
+      "<lambdifygenerated-132978>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return relu(sinh(S2**S2)**_a0_)\n",
+      "<lambdifygenerated-132979>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return relu(sinh(S2**S2)**_a0_)\n",
+      "<lambdifygenerated-133017>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(exp(-sig(_a0_**_a0_)/S1)/S1)\n",
+      "<lambdifygenerated-133018>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(exp(-sig(_a0_**_a0_)/S1)/S1)\n",
+      "<lambdifygenerated-133019>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(exp(-sig(_a0_**_a0_)/S1)/S1)\n",
+      "<lambdifygenerated-133021>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return _a0_**(sqrt(S1))/S1**(3/2)\n",
+      " 42%|████▏     | 623/1500 [00:42<01:12, 12.14it/s]<lambdifygenerated-133060>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(relu(S2))**_a0_/relu(S1))\n",
+      "<lambdifygenerated-133077>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(relu(exp(cos(S1 + exp(S1**S1/_a0_)))))\n",
+      "<lambdifygenerated-133077>:2: RuntimeWarning: invalid value encountered in cos\n",
+      "  return relu(relu(exp(cos(S1 + exp(S1**S1/_a0_)))))\n",
+      "<lambdifygenerated-133087>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (_a0_ + sqrt(S1*_a0_))/S1**(3/2)\n",
+      "<lambdifygenerated-133088>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (_a0_ + sqrt(S1*_a0_))/S1**(3/2)\n",
+      "<lambdifygenerated-133089>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (_a0_ + sqrt(S1*_a0_))/S1**(3/2)\n",
+      " 42%|████▏     | 625/1500 [00:42<01:09, 12.64it/s]<lambdifygenerated-133114>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(_a0_**S1)**_a0_\n",
+      "<lambdifygenerated-133115>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(_a0_**S1)**_a0_\n",
+      "<lambdifygenerated-133147>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sqrt(sig(log(S2*log(S2)))/S1)\n",
+      "<lambdifygenerated-133148>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sqrt(sig(log(S2*log(S2)))/S1)\n",
+      " 42%|████▏     | 627/1500 [00:42<01:09, 12.65it/s]<lambdifygenerated-133171>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-relu(_a0_)/(_a0_*relu(S1)))\n",
+      "<lambdifygenerated-133172>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-relu(_a0_)/(_a0_*relu(S1)))\n",
+      "<lambdifygenerated-133210>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-relu(2*_a0_)/(_a0_*relu(S1)))\n",
+      "<lambdifygenerated-133211>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-relu(2*_a0_)/(_a0_*relu(S1)))\n",
+      "<lambdifygenerated-133212>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-relu(2*_a0_)/(_a0_*relu(S1)))\n",
+      "<lambdifygenerated-133227>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(sinh(S1 + _a0_))**_a0_))\n",
+      "<lambdifygenerated-133228>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(sinh(S1 + _a0_))**_a0_))\n",
+      "<lambdifygenerated-133232>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(relu(-S2))**_a0_)\n",
+      "<lambdifygenerated-133233>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(relu(-S2))**_a0_)\n",
+      "<lambdifygenerated-133238>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sin(S1)**_a0_\n",
+      " 42%|████▏     | 629/1500 [00:42<01:10, 12.31it/s]<lambdifygenerated-133245>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(cos(S2))\n",
+      "<lambdifygenerated-133246>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(cos(S2))\n",
+      "<lambdifygenerated-133247>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log(-relu(relu(S2))/(_a0_*relu(2*_a0_)))\n",
+      "<lambdifygenerated-133248>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log(-relu(relu(S2))/(_a0_*relu(2*_a0_)))\n",
+      "<lambdifygenerated-133249>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log(-relu(relu(S2))/(_a0_*relu(2*_a0_)))\n",
+      "<lambdifygenerated-133269>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(sinh(S1/_a0_))**_a0_))\n",
+      "<lambdifygenerated-133270>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(sinh(S1/_a0_))**_a0_))\n",
+      "<lambdifygenerated-133271>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(sinh(S1/_a0_))**_a0_))\n",
+      "<lambdifygenerated-133274>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sin(relu(S1))**_a0_\n",
+      "<lambdifygenerated-133275>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sin(relu(S1))**_a0_\n",
+      "<lambdifygenerated-133291>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S2**(-_a0_)*relu(relu(S2))/relu(S1))\n",
+      "<lambdifygenerated-133292>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S2**(-_a0_)*relu(relu(S2))/relu(S1))\n",
+      "<lambdifygenerated-133293>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S2**(-_a0_)*relu(relu(S2))/relu(S1))\n",
+      "<lambdifygenerated-133295>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2/_a0_ + sin((S1 + tan(S2))**_a0_))*exp(-S1)\n",
+      "<lambdifygenerated-133296>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2/_a0_ + sin((S1 + tan(S2))**_a0_))*exp(-S1)\n",
+      "<lambdifygenerated-133297>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2/_a0_ + sin((S1 + tan(S2))**_a0_))*exp(-S1)\n",
+      "<lambdifygenerated-133313>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-133314>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-133319>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_**S2)**_a0_\n",
+      "<lambdifygenerated-133320>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_**S2)**_a0_\n",
+      " 42%|████▏     | 631/1500 [00:42<01:14, 11.74it/s]<lambdifygenerated-133330>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S2)\n",
+      "<lambdifygenerated-133331>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S2)\n",
+      "<lambdifygenerated-133350>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(2*_a0_)**_a0_\n",
+      "<lambdifygenerated-133351>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(2*_a0_)**_a0_\n",
+      "<lambdifygenerated-133352>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(2*_a0_)**_a0_\n",
+      "<lambdifygenerated-133355>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_**S2)**_a0_\n",
+      "<lambdifygenerated-133356>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_**S2)**_a0_\n",
+      "<lambdifygenerated-133357>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-133362>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(_a0_)**_a0_\n",
+      "<lambdifygenerated-133363>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(_a0_)**_a0_\n",
+      "<lambdifygenerated-133364>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(S2/cos(S1))\n",
+      "<lambdifygenerated-133365>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(S2/cos(S1))\n",
+      "<lambdifygenerated-133366>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(S2/cos(S1))\n",
+      "<lambdifygenerated-133367>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-relu(_a0_)/(_a0_*relu(S1)))\n",
+      "<lambdifygenerated-133368>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-relu(_a0_)/(_a0_*relu(S1)))\n",
+      "<lambdifygenerated-133396>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return _a0_**(-S1)*(sqrt(S1) + _a0_)/S1\n",
+      "<lambdifygenerated-133397>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return _a0_**(-S1)*(sqrt(S1) + _a0_)/S1\n",
+      "<lambdifygenerated-133398>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return _a0_**(-S1)*(sqrt(S1) + _a0_)/S1\n",
+      " 42%|████▏     | 633/1500 [00:42<01:09, 12.43it/s]<lambdifygenerated-133431>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S1*_a0_)**_a0_\n",
+      "<lambdifygenerated-133432>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S1*_a0_)**_a0_\n",
+      "<lambdifygenerated-133435>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(tan(S1)))**_a0_\n",
+      "<lambdifygenerated-133436>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(tan(S1)))**_a0_\n",
+      "<lambdifygenerated-133439>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log(-relu(relu(S2))/(relu(S1)*relu(_a0_)))\n",
+      "<lambdifygenerated-133439>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(relu(S2))/(relu(S1)*relu(_a0_)))\n",
+      "<lambdifygenerated-133440>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log(-relu(relu(S2))/(relu(S1)*relu(_a0_)))\n",
+      "<lambdifygenerated-133440>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(relu(S2))/(relu(S1)*relu(_a0_)))\n",
+      "<lambdifygenerated-133441>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log(-relu(relu(S2))/(relu(S1)*relu(_a0_)))\n",
+      "<lambdifygenerated-133441>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(relu(S2))/(relu(S1)*relu(_a0_)))\n",
+      "<lambdifygenerated-133472>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(_a0_**S1)**_a0_\n",
+      "<lambdifygenerated-133472>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(_a0_**S1)**_a0_\n",
+      "<lambdifygenerated-133473>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(_a0_**S1)**_a0_\n",
+      "<lambdifygenerated-133473>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(_a0_**S1)**_a0_\n",
+      "<lambdifygenerated-133474>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(_a0_**S1)**_a0_\n",
+      "<lambdifygenerated-133474>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(_a0_**S1)**_a0_\n",
+      " 42%|████▏     | 635/1500 [00:43<01:08, 12.67it/s]<lambdifygenerated-133475>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(S2/sin(S1))\n",
+      "<lambdifygenerated-133476>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(S2/sin(S1))\n",
+      "<lambdifygenerated-133477>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(S2/sin(S1))\n",
+      "<lambdifygenerated-133483>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(log(S2))\n",
+      "<lambdifygenerated-133484>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(log(S2))\n",
+      "<lambdifygenerated-133513>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return relu(sinh(S1**S2))**_a0_\n",
+      "<lambdifygenerated-133514>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return relu(sinh(S1**S2))**_a0_\n",
+      "<lambdifygenerated-133515>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return relu(sinh(S1**S2))**_a0_\n",
+      "<lambdifygenerated-133543>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(sinh(relu(S1))**log(_a0_))\n",
+      "<lambdifygenerated-133544>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(sinh(relu(S1))**log(_a0_))\n",
+      "<lambdifygenerated-133545>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(sinh(relu(S1))**log(_a0_))\n",
+      " 42%|████▏     | 637/1500 [00:43<01:07, 12.74it/s]<lambdifygenerated-133556>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-relu(sin(S2))/(_a0_*relu(S1)))\n",
+      "<lambdifygenerated-133557>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-relu(sin(S2))/(_a0_*relu(S1)))\n",
+      "<lambdifygenerated-133558>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-relu(sin(S2))/(_a0_*relu(S1)))\n",
+      "<lambdifygenerated-133588>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(_a0_)**_a0_\n",
+      "<lambdifygenerated-133589>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(_a0_)**_a0_\n",
+      "<lambdifygenerated-133594>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-_a0_)\n",
+      "<lambdifygenerated-133595>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-_a0_)\n",
+      "<lambdifygenerated-133609>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(S2*_a0_)*exp(-_a0_**2)\n",
+      "<lambdifygenerated-133619>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(cos(relu(S1))**_a0_)\n",
+      "<lambdifygenerated-133620>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(cos(relu(S1))**_a0_)\n",
+      "<lambdifygenerated-133630>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(sinh(log(_a0_)))**_a0_\n",
+      "<lambdifygenerated-133631>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(sinh(log(_a0_)))**_a0_\n",
+      "<lambdifygenerated-133632>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(sinh(log(_a0_)))**_a0_\n",
+      " 43%|████▎     | 639/1500 [00:43<01:06, 12.93it/s]<lambdifygenerated-133653>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sqrt(sig(log(S2*tan(S2)))/S1)\n",
+      "<lambdifygenerated-133654>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sqrt(sig(log(S2*tan(S2)))/S1)\n",
+      "<lambdifygenerated-133670>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(S2*relu(S1)))\n",
+      "<lambdifygenerated-133696>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-133697>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      " 43%|████▎     | 641/1500 [00:43<01:06, 12.96it/s]<lambdifygenerated-133712>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(cos(relu(S2)/(_a0_*relu(S1))))\n",
+      "<lambdifygenerated-133713>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(cos(relu(S2)/(_a0_*relu(S1))))\n",
+      "<lambdifygenerated-133735>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(S2/_a0_)**_a0_)\n",
+      "<lambdifygenerated-133736>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(S2/_a0_)**_a0_)\n",
+      "<lambdifygenerated-133737>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2/_a0_)**_a0_\n",
+      "<lambdifygenerated-133738>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2/_a0_)**_a0_\n",
+      "<lambdifygenerated-133765>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(sinh(sin(S1)))**_a0_))**2\n",
+      "<lambdifygenerated-133766>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(sinh(sin(S1)))**_a0_))**2\n",
+      "<lambdifygenerated-133767>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(sinh(sin(S1)))**_a0_))**2\n",
+      " 43%|████▎     | 643/1500 [00:43<01:07, 12.62it/s]<lambdifygenerated-133808>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(_a0_/S1)**_a0_))**2\n",
+      "<lambdifygenerated-133809>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(_a0_/S1)**_a0_))**2\n",
+      "<lambdifygenerated-133810>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(_a0_/S1)**_a0_))**2\n",
+      "<lambdifygenerated-133822>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sin(S1)**_a0_\n",
+      "<lambdifygenerated-133827>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_ + sqrt(_a0_**S2))/S1**(3/2)\n",
+      "<lambdifygenerated-133827>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (_a0_ + sqrt(_a0_**S2))/S1**(3/2)\n",
+      "<lambdifygenerated-133828>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_ + sqrt(_a0_**S2))/S1**(3/2)\n",
+      "<lambdifygenerated-133828>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (_a0_ + sqrt(_a0_**S2))/S1**(3/2)\n",
+      "<lambdifygenerated-133829>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_ + sqrt(_a0_**S2))/S1**(3/2)\n",
+      "<lambdifygenerated-133829>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (_a0_ + sqrt(_a0_**S2))/S1**(3/2)\n",
+      "<lambdifygenerated-133854>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return sinh(relu(sin(S2)))**_a0_\n",
+      "<lambdifygenerated-133855>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return sinh(relu(sin(S2)))**_a0_\n",
+      "<lambdifygenerated-133856>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return sinh(relu(sin(S2)))**_a0_\n",
+      "<lambdifygenerated-133862>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (sqrt(_a0_) + _a0_)/S1**(3/2)\n",
+      " 43%|████▎     | 645/1500 [00:43<01:07, 12.70it/s]<lambdifygenerated-133867>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log(-relu(S2)/(_a0_*relu(sin(_a0_))))\n",
+      "<lambdifygenerated-133868>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log(-relu(S2)/(_a0_*relu(sin(_a0_))))\n",
+      "<lambdifygenerated-133880>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(sinh(fac(_a0_)))**_a0_))**2\n",
+      "<lambdifygenerated-133881>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(sinh(fac(_a0_)))**_a0_))**2\n",
+      "<lambdifygenerated-133882>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(sinh(fac(_a0_)))**_a0_))**2\n",
+      "<lambdifygenerated-133887>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(_a0_)**_a0_)\n",
+      "<lambdifygenerated-133888>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(_a0_)**_a0_)\n",
+      "<lambdifygenerated-133924>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(relu(exp(sqrt(S1 + exp(S2/_a0_)))))\n",
+      "<lambdifygenerated-133926>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(_a0_**_a0_)**_a0_)\n",
+      "<lambdifygenerated-133927>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(_a0_**_a0_)**_a0_)\n",
+      "<lambdifygenerated-133928>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S2*_a0_)**_a0_\n",
+      "<lambdifygenerated-133929>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S2*_a0_)**_a0_\n",
+      "<lambdifygenerated-133930>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S2*_a0_)**_a0_\n",
+      " 43%|████▎     | 647/1500 [00:44<01:05, 13.02it/s]<lambdifygenerated-133945>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-1/relu(S1))\n",
+      "<lambdifygenerated-133946>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-1/relu(S1))\n",
+      "<lambdifygenerated-133972>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S2*_a0_)**_a0_\n",
+      "<lambdifygenerated-133973>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S2*_a0_)**_a0_\n",
+      "<lambdifygenerated-133975>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S1 + _a0_)**_a0_\n",
+      "<lambdifygenerated-133976>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S1 + _a0_)**_a0_\n",
+      "<lambdifygenerated-134002>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(S1 + _a0_)**_a0_))**2\n",
+      "<lambdifygenerated-134003>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(S1 + _a0_)**_a0_))**2\n",
+      "<lambdifygenerated-134004>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(S1 + _a0_)**_a0_))**2\n",
+      "<lambdifygenerated-134013>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(relu(S1))**_a0_\n",
+      " 43%|████▎     | 649/1500 [00:44<01:04, 13.19it/s]<lambdifygenerated-134061>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(_a0_)**_a0_\n",
+      "<lambdifygenerated-134062>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(_a0_)**_a0_\n",
+      "<lambdifygenerated-134070>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-sin(S2)/(_a0_*relu(S1)))\n",
+      "<lambdifygenerated-134071>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-sin(S2)/(_a0_*relu(S1)))\n",
+      "<lambdifygenerated-134090>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(relu(S2*_a0_))**_a0_)\n",
+      "<lambdifygenerated-134091>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(relu(S2*_a0_))**_a0_)\n",
+      "<lambdifygenerated-134092>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(relu(S2*_a0_))**_a0_)\n",
+      "<lambdifygenerated-134097>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(sinh(sinh(_a0_)))**_a0_\n",
+      "<lambdifygenerated-134098>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(sinh(sinh(_a0_)))**_a0_\n",
+      "<lambdifygenerated-134099>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(sinh(sinh(_a0_)))**_a0_\n",
+      " 43%|████▎     | 651/1500 [00:44<01:04, 13.23it/s]<lambdifygenerated-134128>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(cos(relu(S1))**_a0_)\n",
+      "<lambdifygenerated-134129>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sin(relu(S1))**_a0_\n",
+      "<lambdifygenerated-134133>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(sinh(2*_a0_))**_a0_\n",
+      "<lambdifygenerated-134134>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(sinh(2*_a0_))**_a0_\n",
+      "<lambdifygenerated-134141>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/_a0_**2)\n",
+      "<lambdifygenerated-134142>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/_a0_**2)\n",
+      "<lambdifygenerated-134155>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(S2/_a0_)/sqrt(-S1*_a0_))\n",
+      "<lambdifygenerated-134156>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(S2/_a0_)/sqrt(-S1*_a0_))\n",
+      "<lambdifygenerated-134157>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(S2/_a0_)/sqrt(-S1*_a0_))\n",
+      " 44%|████▎     | 653/1500 [00:44<01:04, 13.23it/s]<lambdifygenerated-134239>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(S1)**_a0_\n",
+      " 44%|████▎     | 655/1500 [00:44<01:04, 13.10it/s]<lambdifygenerated-134250>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/((S2 + _a0_)*relu(S1)))\n",
+      "<lambdifygenerated-134251>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/((S2 + _a0_)*relu(S1)))\n",
+      "<lambdifygenerated-134252>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/((S2 + _a0_)*relu(S1)))\n",
+      "<lambdifygenerated-134268>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(_a0_)**_a0_))**2\n",
+      "<lambdifygenerated-134269>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(_a0_)**_a0_))**2\n",
+      "<lambdifygenerated-134270>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(_a0_)**_a0_))**2\n",
+      "<lambdifygenerated-134282>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(S2/_a0_))**_a0_\n",
+      "<lambdifygenerated-134283>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(S2/_a0_))**_a0_\n",
+      "<lambdifygenerated-134284>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(S2/_a0_))**_a0_\n",
+      "<lambdifygenerated-134286>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_ + _a0_**S2)/S1**(3/2)\n",
+      "<lambdifygenerated-134287>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_ + _a0_**S2)/S1**(3/2)\n",
+      "<lambdifygenerated-134292>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(_a0_**2*relu(S1)))\n",
+      "<lambdifygenerated-134293>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(_a0_**2*relu(S1)))\n",
+      "<lambdifygenerated-134294>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(_a0_**2*relu(S1)))\n",
+      "<lambdifygenerated-134320>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(2*_a0_)**_a0_\n",
+      "<lambdifygenerated-134321>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(2*_a0_)**_a0_\n",
+      " 44%|████▍     | 657/1500 [00:44<01:04, 12.99it/s]<lambdifygenerated-134348>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(sinh(_a0_))**_a0_))\n",
+      "<lambdifygenerated-134349>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(relu(exp(tan(S1 + exp(S2/_a0_)))))\n",
+      "<lambdifygenerated-134357>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(sinh(_a0_))**_a0_\n",
+      "<lambdifygenerated-134371>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(S2**2*relu(S1)))\n",
+      "<lambdifygenerated-134372>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(S2**2*relu(S1)))\n",
+      "<lambdifygenerated-134398>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(sinh(_a0_))**_a0_\n",
+      " 44%|████▍     | 659/1500 [00:44<01:05, 12.86it/s]<lambdifygenerated-134411>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/(S1*relu(S1)))\n",
+      "<lambdifygenerated-134461>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sqrt(sig(log(relu(S2)*log(S2)))/S1)\n",
+      "<lambdifygenerated-134462>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sqrt(sig(log(relu(S2)*log(S2)))/S1)\n",
+      "<lambdifygenerated-134463>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sqrt(sig(log(relu(S2)*log(S2)))/S1)\n",
+      "<lambdifygenerated-134464>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return exp(-S1)*log(S2/_a0_)\n",
+      "<lambdifygenerated-134470>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(log(relu(S1))**_a0_)\n",
+      "<lambdifygenerated-134473>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(S1))**(_a0_**_a0_)\n",
+      "<lambdifygenerated-134474>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(S1))**(_a0_**_a0_)\n",
+      " 44%|████▍     | 661/1500 [00:45<01:04, 13.09it/s]<lambdifygenerated-134492>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(cos(S2)**_a0_/(S1 + _a0_))\n",
+      "<lambdifygenerated-134493>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(cos(S2)**_a0_/(S1 + _a0_))\n",
+      "<lambdifygenerated-134494>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(cos(S2)**_a0_/(S1 + _a0_))\n",
+      "<lambdifygenerated-134497>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sqrt(sig(log(relu(S2)*log(S2)))/S1)\n",
+      "<lambdifygenerated-134498>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sqrt(sig(log(relu(S2)*log(S2)))/S1)\n",
+      "<lambdifygenerated-134507>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-134508>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-134510>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(sinh(_a0_))**_a0_\n",
+      "<lambdifygenerated-134520>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)**_a0_/relu(S1))\n",
+      "<lambdifygenerated-134537>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(S2/_a0_)**_a0_))\n",
+      "<lambdifygenerated-134538>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(S2/_a0_)**_a0_))\n",
+      "<lambdifygenerated-134543>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return sinh(S2**S2)**_a0_\n",
+      "<lambdifygenerated-134544>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return sinh(S2**S2)**_a0_\n",
+      "<lambdifygenerated-134548>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (sqrt(S1) + _a0_)/(S1*sqrt(_a0_))\n",
+      " 44%|████▍     | 663/1500 [00:45<01:04, 13.07it/s]<lambdifygenerated-134553>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(S2/cos(S1))\n",
+      "<lambdifygenerated-134554>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(S2/cos(S1))\n",
+      "<lambdifygenerated-134577>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(_a0_)**_a0_\n",
+      "<lambdifygenerated-134578>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(_a0_)**_a0_\n",
+      "<lambdifygenerated-134585>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S2/S1)\n",
+      "<lambdifygenerated-134586>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S2/S1)\n",
+      "<lambdifygenerated-134589>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return log(sqrt(_a0_*relu(S2)/relu(S1)))\n",
+      "<lambdifygenerated-134590>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return log(sqrt(_a0_*relu(S2)/relu(S1)))\n",
+      "<lambdifygenerated-134603>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(cos(S1)/_a0_)*exp(-S1)\n",
+      "<lambdifygenerated-134604>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(cos(S1)/_a0_)*exp(-S1)\n",
+      "<lambdifygenerated-134605>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(cos(S1)/_a0_)*exp(-S1)\n",
+      "<lambdifygenerated-134608>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(relu(_a0_**S2)**_a0_))\n",
+      "<lambdifygenerated-134608>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(_a0_**S2)**_a0_))\n",
+      "<lambdifygenerated-134609>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(relu(_a0_**S2)**_a0_))\n",
+      "<lambdifygenerated-134609>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(_a0_**S2)**_a0_))\n",
+      "<lambdifygenerated-134613>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(sinh(relu(_a0_))**_a0_)\n",
+      " 44%|████▍     | 665/1500 [00:45<01:03, 13.09it/s]<lambdifygenerated-134642>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sqrt(-log(S2*relu(S2))/S1))\n",
+      "<lambdifygenerated-134643>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sqrt(-log(S2*relu(S2))/S1))\n",
+      "<lambdifygenerated-134659>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S1)\n",
+      "<lambdifygenerated-134660>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S1)\n",
+      "<lambdifygenerated-134661>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S1*relu(S2)/relu(S1))\n",
+      "<lambdifygenerated-134681>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(sinh(relu(2*_a0_))**_a0_)\n",
+      "<lambdifygenerated-134682>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(sinh(relu(2*_a0_))**_a0_)\n",
+      "<lambdifygenerated-134683>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(sinh(relu(2*_a0_))**_a0_)\n",
+      "<lambdifygenerated-134684>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return sinh(relu(S2 + _a0_))**_a0_\n",
+      "<lambdifygenerated-134685>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return sinh(relu(S2 + _a0_))**_a0_\n",
+      "<lambdifygenerated-134686>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return sinh(relu(S2 + _a0_))**_a0_\n",
+      "<lambdifygenerated-134690>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return _a0_**(sqrt(S1))/S1**(3/2)\n",
+      " 44%|████▍     | 667/1500 [00:45<01:03, 13.21it/s]<lambdifygenerated-134713>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return exp(-S1)*sqrt(log(_a0_))\n",
+      "<lambdifygenerated-134714>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return exp(-S1)*sqrt(log(_a0_))\n",
+      "<lambdifygenerated-134715>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return exp(-S1)*sqrt(log(_a0_))\n",
+      "<lambdifygenerated-134723>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(S2/_a0_))**_a0_\n",
+      "<lambdifygenerated-134724>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(S2/_a0_))**_a0_\n",
+      "<lambdifygenerated-134731>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(tan(_a0_))\n",
+      "<lambdifygenerated-134732>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(tan(_a0_))\n",
+      "<lambdifygenerated-134759>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-134760>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      " 45%|████▍     | 669/1500 [00:45<01:03, 13.17it/s]<lambdifygenerated-134769>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-(_a0_ + relu(S2))/relu(S1))\n",
+      "<lambdifygenerated-134815>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(sinh(_a0_/S2))**_a0_))\n",
+      "<lambdifygenerated-134816>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(sinh(_a0_/S2))**_a0_))\n",
+      "<lambdifygenerated-134817>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(sinh(_a0_/S2))**_a0_))\n",
+      " 45%|████▍     | 671/1500 [00:45<01:03, 13.08it/s]<lambdifygenerated-134827>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(S2/(S2 + _a0_))\n",
+      "<lambdifygenerated-134830>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(_a0_*relu(S2)/relu(S1))\n",
+      "<lambdifygenerated-134831>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(_a0_*relu(S2)/relu(S1))\n",
+      "<lambdifygenerated-134832>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(_a0_*relu(S2)/relu(S1))\n",
+      "<lambdifygenerated-134833>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_**(-S1)*relu(relu(S2/_a0_)))**sig(relu(S1))\n",
+      "<lambdifygenerated-134841>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sqrt(log(S2*relu(S2))**3/S1))\n",
+      "<lambdifygenerated-134842>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sqrt(log(S2*relu(S2))**3/S1))\n",
+      "<lambdifygenerated-134854>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return sinh(relu(S2**S2))**_a0_\n",
+      "<lambdifygenerated-134855>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return sinh(relu(S2**S2))**_a0_\n",
+      "<lambdifygenerated-134856>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return sinh(relu(S2**S2))**_a0_\n",
+      "<lambdifygenerated-134883>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(relu(relu(sinh(S1))**(S2**S2)))\n",
+      "<lambdifygenerated-134884>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(relu(relu(sinh(S1))**(S2**S2)))\n",
+      "<lambdifygenerated-134885>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(relu(relu(sinh(S1))**(S2**S2)))\n",
+      "<lambdifygenerated-134894>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(S2)**(-_a0_)\n",
+      "<lambdifygenerated-134895>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(S2)**(-_a0_)\n",
+      "<lambdifygenerated-134896>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(S2)**(-_a0_)\n",
+      " 45%|████▍     | 673/1500 [00:46<01:02, 13.17it/s]<lambdifygenerated-134905>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(-_a0_*relu(S2)/relu(S1))**S2\n",
+      "<lambdifygenerated-134927>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(relu(exp(abs(S1 + exp((S2 + _a0_)/_a0_)))))\n",
+      "<lambdifygenerated-134930>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(sinh(_a0_))**_a0_\n",
+      "<lambdifygenerated-134931>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return sinh(S1**S2)**_a0_\n",
+      "<lambdifygenerated-134932>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return sinh(S1**S2)**_a0_\n",
+      "<lambdifygenerated-134933>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return sinh(S1**S2)**_a0_\n",
+      "<lambdifygenerated-134936>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(S2/cos(S2))\n",
+      "<lambdifygenerated-134937>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(S2/cos(S2))\n",
+      "<lambdifygenerated-134949>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sqrt(-log(S2*relu(S2))/S1))\n",
+      " 45%|████▌     | 675/1500 [00:46<01:03, 13.02it/s]<lambdifygenerated-135034>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return sinh(relu(tanh(_a0_)))**_a0_\n",
+      "<lambdifygenerated-135035>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return sinh(relu(tanh(_a0_)))**_a0_\n",
+      "<lambdifygenerated-135036>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return sinh(relu(tanh(_a0_)))**_a0_\n",
+      " 45%|████▌     | 677/1500 [00:46<01:03, 13.04it/s]<lambdifygenerated-135046>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-_a0_*relu(_a0_)/relu(S1))\n",
+      "<lambdifygenerated-135047>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-_a0_*relu(_a0_)/relu(S1))\n",
+      "<lambdifygenerated-135065>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(relu(exp((S1 + exp((S2 + _a0_)/_a0_))**2)))\n",
+      "<lambdifygenerated-135069>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (-sinh(S1))**_a0_\n",
+      "<lambdifygenerated-135081>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return log(sqrt(_a0_*relu(S2)/relu(S1)))\n",
+      "<lambdifygenerated-135104>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return sinh(S1**S2)**_a0_\n",
+      "<lambdifygenerated-135105>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return sinh(S1**S2)**_a0_\n",
+      " 45%|████▌     | 679/1500 [00:46<01:01, 13.32it/s]<lambdifygenerated-135117>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-_a0_*relu(S1*_a0_)/relu(S1))\n",
+      "<lambdifygenerated-135118>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-_a0_*relu(S1*_a0_)/relu(S1))\n",
+      "<lambdifygenerated-135119>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-_a0_*relu(S1*_a0_)/relu(S1))\n",
+      "<lambdifygenerated-135120>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return exp(-S1)*sin((2*S1 + relu(S2))**_a0_)**(S2/_a0_)\n",
+      "<lambdifygenerated-135121>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return exp(-S1)*sin((2*S1 + relu(S2))**_a0_)**(S2/_a0_)\n",
+      "<lambdifygenerated-135138>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sin(S1)**_a0_\n",
+      "<lambdifygenerated-135147>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S1*relu(S2)/relu(S1))\n",
+      "<lambdifygenerated-135166>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(2*_a0_)**_a0_))\n",
+      "<lambdifygenerated-135167>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(2*_a0_)**_a0_))\n",
+      "<lambdifygenerated-135177>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(exp(sqrt(_a0_)/S1)/S1)\n",
+      " 45%|████▌     | 681/1500 [00:46<01:01, 13.31it/s]<lambdifygenerated-135196>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(relu(sinh(_a0_**S1))**_a0_))\n",
+      "<lambdifygenerated-135196>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(sinh(_a0_**S1))**_a0_))\n",
+      "<lambdifygenerated-135197>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(relu(sinh(_a0_**S1))**_a0_))\n",
+      "<lambdifygenerated-135197>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(sinh(_a0_**S1))**_a0_))\n",
+      "<lambdifygenerated-135198>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(relu(sinh(_a0_**S1))**_a0_))\n",
+      "<lambdifygenerated-135198>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(sinh(_a0_**S1))**_a0_))\n",
+      "<lambdifygenerated-135205>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(sinh(_a0_))**_a0_\n",
+      "<lambdifygenerated-135212>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-_a0_*relu(S2)/relu(S1/S2))\n",
+      "<lambdifygenerated-135228>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sqrt(cos(log(S2*relu(S2)))/S1))\n",
+      "<lambdifygenerated-135229>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sqrt(cos(log(S2*relu(S2)))/S1))\n",
+      "<lambdifygenerated-135231>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(_a0_)**_a0_))\n",
+      "<lambdifygenerated-135232>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(_a0_)**_a0_))\n",
+      "<lambdifygenerated-135233>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(relu(_a0_/S1))**_a0_)\n",
+      "<lambdifygenerated-135234>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(relu(_a0_/S1))**_a0_)\n",
+      "<lambdifygenerated-135235>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(relu(_a0_/S1))**_a0_)\n",
+      "<lambdifygenerated-135236>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return sinh(S1**S1)**_a0_\n",
+      "<lambdifygenerated-135237>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return sinh(S1**S1)**_a0_\n",
+      "<lambdifygenerated-135238>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return sinh(S1**S1)**_a0_\n",
+      "<lambdifygenerated-135242>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(_a0_**S1))**_a0_\n",
+      "<lambdifygenerated-135242>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(_a0_**S1))**_a0_\n",
+      "<lambdifygenerated-135243>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(_a0_**S1))**_a0_\n",
+      "<lambdifygenerated-135243>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(_a0_**S1))**_a0_\n",
+      "<lambdifygenerated-135244>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(_a0_**S1))**_a0_\n",
+      "<lambdifygenerated-135244>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(_a0_**S1))**_a0_\n",
+      " 46%|████▌     | 683/1500 [00:46<01:01, 13.31it/s]<lambdifygenerated-135251>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(-_a0_*_a0_**(-S1)*relu(S2))\n",
+      "<lambdifygenerated-135251>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-_a0_*_a0_**(-S1)*relu(S2))\n",
+      "<lambdifygenerated-135252>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(-_a0_*_a0_**(-S1)*relu(S2))\n",
+      "<lambdifygenerated-135252>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-_a0_*_a0_**(-S1)*relu(S2))\n",
+      "<lambdifygenerated-135253>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(-_a0_*_a0_**(-S1)*relu(S2))\n",
+      "<lambdifygenerated-135253>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-_a0_*_a0_**(-S1)*relu(S2))\n",
+      "<lambdifygenerated-135270>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(-sinh(S1))**_a0_))\n",
+      "<lambdifygenerated-135271>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(-sinh(S1))**_a0_))\n",
+      "<lambdifygenerated-135314>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(S1))**(_a0_**_a0_)\n",
+      "<lambdifygenerated-135315>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(S1))**(_a0_**_a0_)\n",
+      "<lambdifygenerated-135318>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(exp(-_a0_/(S1*S2))/S1)\n",
+      "<lambdifygenerated-135319>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(exp(-_a0_/(S1*S2))/S1)\n",
+      " 46%|████▌     | 685/1500 [00:46<01:01, 13.22it/s]<lambdifygenerated-135346>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(relu(exp(cos(S1 + exp(log(_a0_)/_a0_)))))\n",
+      "<lambdifygenerated-135347>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(relu(exp(cos(S1 + exp(log(_a0_)/_a0_)))))\n",
+      "<lambdifygenerated-135348>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(relu(exp(cos(S1 + exp(log(_a0_)/_a0_)))))\n",
+      "<lambdifygenerated-135357>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log(-_a0_*relu(S2)/relu(tan(_a0_)))\n",
+      "<lambdifygenerated-135358>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log(-_a0_*relu(S2)/relu(tan(_a0_)))\n",
+      "<lambdifygenerated-135359>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log(-_a0_*relu(S2)/relu(tan(_a0_)))\n",
+      "<lambdifygenerated-135379>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(_a0_)**_a0_))\n",
+      "<lambdifygenerated-135380>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(_a0_)**_a0_))\n",
+      "<lambdifygenerated-135382>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(2*_a0_)**_a0_\n",
+      "<lambdifygenerated-135383>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(2*_a0_)**_a0_\n",
+      " 46%|████▌     | 687/1500 [00:47<01:01, 13.25it/s]<lambdifygenerated-135396>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2/_a0_ + sin((2*S1 + sin(S2))**_a0_))*exp(-S1)\n",
+      "<lambdifygenerated-135397>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2/_a0_ + sin((2*S1 + sin(S2))**_a0_))*exp(-S1)\n",
+      "<lambdifygenerated-135430>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(log(S2)/S1)\n",
+      "<lambdifygenerated-135431>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(log(S2)/S1)\n",
+      "<lambdifygenerated-135446>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(sinh(_a0_))**_a0_))\n",
+      " 46%|████▌     | 689/1500 [00:47<01:00, 13.40it/s]<lambdifygenerated-135455>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log(-_a0_*relu(S2)/relu(_a0_))\n",
+      "<lambdifygenerated-135456>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log(-_a0_*relu(S2)/relu(_a0_))\n",
+      "<lambdifygenerated-135457>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(cos(S1))\n",
+      "<lambdifygenerated-135458>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(cos(S1))\n",
+      "<lambdifygenerated-135475>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(S2*_a0_)*exp(-cos(S2))\n",
+      "<lambdifygenerated-135479>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(sinh(tan(_a0_)))**_a0_))\n",
+      "<lambdifygenerated-135480>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(sinh(tan(_a0_)))**_a0_))\n",
+      "<lambdifygenerated-135482>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-135496>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-_a0_*relu(_a0_)/relu(S1))\n",
+      "<lambdifygenerated-135517>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return sinh(relu(_a0_))**_a0_\n",
+      " 46%|████▌     | 691/1500 [00:47<01:00, 13.32it/s]<lambdifygenerated-135528>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S1*relu(S2)/relu(S1))\n",
+      "<lambdifygenerated-135548>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return sinh(relu(_a0_))**_a0_\n",
+      "<lambdifygenerated-135592>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(S2*_a0_)**_a0_\n",
+      "<lambdifygenerated-135593>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(S2*_a0_)**_a0_\n",
+      " 46%|████▌     | 693/1500 [00:47<01:00, 13.38it/s]<lambdifygenerated-135615>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-135621>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return S1**(sqrt(_a0_))\n",
+      "<lambdifygenerated-135622>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return S1**(sqrt(_a0_))\n",
+      "<lambdifygenerated-135623>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return S1**(sqrt(_a0_))\n",
+      "<lambdifygenerated-135632>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S2)\n",
+      "<lambdifygenerated-135633>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S2)\n",
+      "<lambdifygenerated-135647>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(S1**_a0_*_a0_)*exp(-S1)\n",
+      "<lambdifygenerated-135653>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(sinh(relu(_a0_)))**_a0_))\n",
+      "<lambdifygenerated-135654>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(sinh(relu(_a0_)))**_a0_))\n",
+      "<lambdifygenerated-135656>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return sinh(S1**S1)**_a0_\n",
+      "<lambdifygenerated-135657>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return sinh(S1**S1)**_a0_\n",
+      " 46%|████▋     | 695/1500 [00:47<00:58, 13.69it/s]<lambdifygenerated-135663>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-sqrt(S1)*relu(S2)/relu(S1))\n",
+      "<lambdifygenerated-135664>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-sqrt(S1)*relu(S2)/relu(S1))\n",
+      "<lambdifygenerated-135665>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-sqrt(S1)*relu(S2)/relu(S1))\n",
+      "<lambdifygenerated-135679>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(S2/_a0_)/sqrt(S1*cos(_a0_)))\n",
+      "<lambdifygenerated-135680>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(S2/_a0_)/sqrt(S1*cos(_a0_)))\n",
+      "<lambdifygenerated-135681>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(S2/_a0_)/sqrt(S1*cos(_a0_)))\n",
+      "<lambdifygenerated-135693>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_ + sqrt(_a0_**S2))/S1**(3/2)\n",
+      "<lambdifygenerated-135693>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (_a0_ + sqrt(_a0_**S2))/S1**(3/2)\n",
+      "<lambdifygenerated-135694>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_ + sqrt(_a0_**S2))/S1**(3/2)\n",
+      "<lambdifygenerated-135694>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (_a0_ + sqrt(_a0_**S2))/S1**(3/2)\n",
+      "<lambdifygenerated-135698>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S2**S1*_a0_/relu(S1))\n",
+      "<lambdifygenerated-135702>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(S2/sin(S2))\n",
+      "<lambdifygenerated-135703>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(S2/sin(S2))\n",
+      "<lambdifygenerated-135704>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(S2/sin(S2))\n",
+      "<lambdifygenerated-135714>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(S2*relu(sig(sqrt(_a0_)))**S1))\n",
+      "<lambdifygenerated-135715>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(S2*relu(sig(sqrt(_a0_)))**S1))\n",
+      "<lambdifygenerated-135716>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(S2*relu(sig(sqrt(_a0_)))**S1))\n",
+      "<lambdifygenerated-135719>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(tan(relu(S1))**_a0_)\n",
+      "<lambdifygenerated-135720>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(tan(relu(S1))**_a0_)\n",
+      "<lambdifygenerated-135728>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(sinh(_a0_))**_a0_\n",
+      " 46%|████▋     | 697/1500 [00:47<00:57, 14.02it/s]<lambdifygenerated-135732>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-_a0_*relu(S2)/(S1 + _a0_))\n",
+      "<lambdifygenerated-135733>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-_a0_*relu(S2)/(S1 + _a0_))\n",
+      "<lambdifygenerated-135734>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-_a0_*relu(S2)/(S1 + _a0_))\n",
+      "<lambdifygenerated-135747>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sqrt(tan(log(S2**2))/S1))\n",
+      "<lambdifygenerated-135748>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sqrt(tan(log(S2**2))/S1))\n",
+      "<lambdifygenerated-135770>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(S2/log(S2))\n",
+      "<lambdifygenerated-135771>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(S2/log(S2))\n",
+      "<lambdifygenerated-135799>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sin(sinh(S1))**_a0_\n",
+      " 47%|████▋     | 699/1500 [00:47<01:00, 13.35it/s]<lambdifygenerated-135818>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(S2*_a0_)/(S2 + _a0_)\n",
+      "<lambdifygenerated-135830>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S1*_a0_)**_a0_\n",
+      "<lambdifygenerated-135831>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S1*_a0_)**_a0_\n",
+      "<lambdifygenerated-135843>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return log(sqrt(_a0_*relu(S2)/relu(S1)))\n",
+      "<lambdifygenerated-135857>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(relu(tan(S2)))**_a0_)\n",
+      "<lambdifygenerated-135858>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(relu(tan(S2)))**_a0_)\n",
+      "<lambdifygenerated-135859>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (-sinh(S1))**_a0_\n",
+      "<lambdifygenerated-135860>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (-sinh(S1))**_a0_\n",
+      " 47%|████▋     | 701/1500 [00:48<01:03, 12.50it/s]<lambdifygenerated-135901>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return abs(sinh(S2 + _a0_)**_a0_)\n",
+      "<lambdifygenerated-135902>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return abs(sinh(S2 + _a0_)**_a0_)\n",
+      "<lambdifygenerated-135903>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return abs(sinh(S2 + _a0_)**_a0_)\n",
+      "<lambdifygenerated-135914>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)**_a0_/relu(S1))\n",
+      "<lambdifygenerated-135932>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(S2/_a0_)/sqrt(S2*(S2 + _a0_)))\n",
+      "<lambdifygenerated-135935>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(tan(S1))**_a0_))\n",
+      " 47%|████▋     | 703/1500 [00:48<01:04, 12.28it/s]<lambdifygenerated-135988>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(S2/tan(S1))\n",
+      "<lambdifygenerated-135989>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(S2/tan(S1))\n",
+      " 47%|████▋     | 705/1500 [00:48<01:01, 12.84it/s]<lambdifygenerated-136017>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log(-_a0_*relu(S2)/relu(sin(S1)))\n",
+      "<lambdifygenerated-136018>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log(-_a0_*relu(S2)/relu(sin(S1)))\n",
+      "<lambdifygenerated-136019>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log(-_a0_*relu(S2)/relu(sin(S1)))\n",
+      "<lambdifygenerated-136037>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return abs(sinh(relu(_a0_))**_a0_)\n",
+      "<lambdifygenerated-136038>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return abs(sinh(relu(_a0_))**_a0_)\n",
+      "<lambdifygenerated-136045>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (sqrt(S1) + _a0_)/(S1*sqrt(S2/_a0_))\n",
+      "<lambdifygenerated-136046>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (sqrt(S1) + _a0_)/(S1*sqrt(S2/_a0_))\n",
+      "<lambdifygenerated-136047>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (sqrt(S1) + _a0_)/(S1*sqrt(S2/_a0_))\n",
+      "<lambdifygenerated-136060>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu((S1*_a0_)**_a0_/(S1 + _a0_)))\n",
+      "<lambdifygenerated-136074>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(_a0_)**_a0_)\n",
+      "<lambdifygenerated-136075>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(_a0_)**_a0_)\n",
+      " 47%|████▋     | 707/1500 [00:48<01:00, 13.21it/s]<lambdifygenerated-136105>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(S1*_a0_)**_a0_))\n",
+      "<lambdifygenerated-136106>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(S1*_a0_)**_a0_))\n",
+      "<lambdifygenerated-136115>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(S2 + _a0_))**_a0_\n",
+      "<lambdifygenerated-136116>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(S2 + _a0_))**_a0_\n",
+      "<lambdifygenerated-136123>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S2/relu(S1))\n",
+      "<lambdifygenerated-136124>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S2/relu(S1))\n",
+      "<lambdifygenerated-136125>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S2/relu(S1))\n",
+      " 47%|████▋     | 709/1500 [00:48<01:00, 13.16it/s]<lambdifygenerated-136172>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(S2*relu(sqrt(_a0_))**S1))\n",
+      "<lambdifygenerated-136173>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(S2*relu(sqrt(_a0_))**S1))\n",
+      "<lambdifygenerated-136204>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(sqrt(sig(log(S2*_a0_/S1))/S1))\n",
+      "<lambdifygenerated-136208>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(S2/_a0_)/sqrt(-S2**2))\n",
+      "<lambdifygenerated-136209>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(S2/_a0_)/sqrt(-S2**2))\n",
+      "<lambdifygenerated-136210>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(S2/_a0_)/sqrt(-S2**2))\n",
+      " 47%|████▋     | 711/1500 [00:48<00:57, 13.83it/s]<lambdifygenerated-136266>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)**_a0_/relu(S1))\n",
+      "<lambdifygenerated-136292>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(cos(sinh(S1))**_a0_))\n",
+      "<lambdifygenerated-136293>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return sinh(relu(sin(S1)))**_a0_\n",
+      "<lambdifygenerated-136294>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return sinh(relu(sin(S1)))**_a0_\n",
+      "<lambdifygenerated-136295>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return sinh(relu(sin(S1)))**_a0_\n",
+      " 48%|████▊     | 713/1500 [00:49<00:58, 13.45it/s]<lambdifygenerated-136334>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(cos(S1))**_a0_\n",
+      "<lambdifygenerated-136335>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(cos(S1))**_a0_\n",
+      "<lambdifygenerated-136336>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(_a0_)**_a0_)\n",
+      "<lambdifygenerated-136337>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(_a0_)**_a0_)\n",
+      "<lambdifygenerated-136368>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(S1)**(_a0_**_a0_)\n",
+      "<lambdifygenerated-136369>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(S1)**(_a0_**_a0_)\n",
+      "<lambdifygenerated-136370>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(2*_a0_)**_a0_)\n",
+      "<lambdifygenerated-136371>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(2*_a0_)**_a0_)\n",
+      "<lambdifygenerated-136372>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(2*_a0_)**_a0_)\n",
+      "<lambdifygenerated-136377>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(exp(cos(S1 + exp(_a0_*(S2 + _a0_**S2))))))\n",
+      "<lambdifygenerated-136378>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(exp(cos(S1 + exp(_a0_*(S2 + _a0_**S2))))))\n",
+      "<lambdifygenerated-136379>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(exp(cos(S1 + exp(_a0_*(S2 + _a0_**S2))))))\n",
+      " 48%|████▊     | 715/1500 [00:49<00:58, 13.37it/s]<lambdifygenerated-136386>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return exp(-S1)*sin((2*S1 + relu(S2))**_a0_)**(S2/_a0_)\n",
+      "<lambdifygenerated-136401>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sin(relu(S1))**_a0_\n",
+      "<lambdifygenerated-136404>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(sinh(relu(_a0_))**_a0_)\n",
+      "<lambdifygenerated-136440>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-_a0_/S1)/S1)\n",
+      "<lambdifygenerated-136441>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-_a0_/S1)/S1)\n",
+      " 48%|████▊     | 717/1500 [00:49<00:56, 13.97it/s]<lambdifygenerated-136456>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(sqrt(sig(log(tan(S1)))/relu(S1)))\n",
+      "<lambdifygenerated-136457>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(sqrt(sig(log(tan(S1)))/relu(S1)))\n",
+      "<lambdifygenerated-136458>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(sqrt(sig(log(tan(S1)))/relu(S1)))\n",
+      "<lambdifygenerated-136462>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(_a0_)**_a0_))\n",
+      "<lambdifygenerated-136463>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(_a0_)**_a0_))\n",
+      "<lambdifygenerated-136464>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sinh(relu(sqrt(_a0_)))**_a0_\n",
+      "<lambdifygenerated-136465>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sinh(relu(sqrt(_a0_)))**_a0_\n",
+      "<lambdifygenerated-136466>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sinh(relu(sqrt(_a0_)))**_a0_\n",
+      "<lambdifygenerated-136471>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(log(S1))**_a0_\n",
+      "<lambdifygenerated-136486>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(log(S1))\n",
+      "<lambdifygenerated-136487>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(log(S1))\n",
+      "<lambdifygenerated-136503>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return sinh(relu(S2**S1))**_a0_\n",
+      "<lambdifygenerated-136504>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return sinh(relu(S2**S1))**_a0_\n",
+      "<lambdifygenerated-136505>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return sinh(relu(S2**S1))**_a0_\n",
+      " 48%|████▊     | 719/1500 [00:49<01:02, 12.56it/s]<lambdifygenerated-136531>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (1/2)*sqrt(S2*_a0_)/_a0_\n",
+      "<lambdifygenerated-136534>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(sig(log(S2**2))/(S2*_a0_))\n",
+      "<lambdifygenerated-136580>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(_a0_)**_a0_)\n",
+      "<lambdifygenerated-136581>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(_a0_)**_a0_)\n",
+      " 48%|████▊     | 721/1500 [00:49<01:02, 12.40it/s]<lambdifygenerated-136645>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(S1 + _a0_)**_a0_)\n",
+      "<lambdifygenerated-136646>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(S1 + _a0_)**_a0_)\n",
+      " 48%|████▊     | 723/1500 [00:49<00:58, 13.38it/s]<lambdifygenerated-136672>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(relu(S1/_a0_))**_a0_)\n",
+      "<lambdifygenerated-136673>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(relu(S1/_a0_))**_a0_)\n",
+      "<lambdifygenerated-136674>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(relu(S1/_a0_))**_a0_)\n",
+      "<lambdifygenerated-136676>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(sinh(S1))**(S1**S1)\n",
+      "<lambdifygenerated-136677>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(sinh(S1))**(S1**S1)\n",
+      "<lambdifygenerated-136682>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(exp(S2/S1**2)/S1)\n",
+      "<lambdifygenerated-136683>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(exp(S2/S1**2)/S1)\n",
+      "<lambdifygenerated-136684>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(exp(S2/S1**2)/S1)\n",
+      "<lambdifygenerated-136708>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return relu(relu(relu(sinh(S1**S2))**_a0_))\n",
+      "<lambdifygenerated-136709>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return relu(relu(relu(sinh(S1**S2))**_a0_))\n",
+      "<lambdifygenerated-136710>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return relu(relu(relu(sinh(S1**S2))**_a0_))\n",
+      " 48%|████▊     | 725/1500 [00:49<00:56, 13.83it/s]<lambdifygenerated-136788>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return (sqrt(S1) + _a0_)/(sqrt(S1)*relu(fac(_a0_)))\n",
+      "<lambdifygenerated-136789>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return (sqrt(S1) + _a0_)/(sqrt(S1)*relu(fac(_a0_)))\n",
+      "<lambdifygenerated-136790>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return (sqrt(S1) + _a0_)/(sqrt(S1)*relu(fac(_a0_)))\n",
+      " 48%|████▊     | 727/1500 [00:50<00:55, 14.01it/s]<lambdifygenerated-136835>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-_a0_*tan(S2)/relu(S1))\n",
+      "<lambdifygenerated-136836>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-_a0_*tan(S2)/relu(S1))\n",
+      "<lambdifygenerated-136853>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(cos(S1))**_a0_\n",
+      " 49%|████▊     | 729/1500 [00:50<01:02, 12.40it/s]<lambdifygenerated-136864>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-_a0_*relu(_a0_)/relu(S1))\n",
+      "<lambdifygenerated-136885>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(sinh(relu(_a0_)))**_a0_\n",
+      "<lambdifygenerated-136886>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(sinh(relu(_a0_)))**_a0_\n",
+      "<lambdifygenerated-136887>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(sinh(relu(_a0_)))**_a0_\n",
+      "<lambdifygenerated-136908>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sqrt(log(log(S2**2))/relu(S1))\n",
+      "<lambdifygenerated-136908>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(log(log(S2**2))/relu(S1))\n",
+      "<lambdifygenerated-136909>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sqrt(log(log(S2**2))/relu(S1))\n",
+      "<lambdifygenerated-136909>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(log(log(S2**2))/relu(S1))\n",
+      "<lambdifygenerated-136910>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (-sinh(S1))**_a0_\n",
+      "<lambdifygenerated-136914>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(_a0_**S2)**_a0_)\n",
+      "<lambdifygenerated-136915>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(_a0_**S2)**_a0_)\n",
+      "<lambdifygenerated-136916>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S1 + _a0_)**_a0_\n",
+      "<lambdifygenerated-136917>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S1 + _a0_)**_a0_\n",
+      " 49%|████▊     | 731/1500 [00:50<01:04, 11.85it/s]<lambdifygenerated-136981>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(_a0_**_a0_)**_a0_\n",
+      "<lambdifygenerated-136982>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(_a0_**_a0_)**_a0_\n",
+      " 49%|████▉     | 733/1500 [00:50<01:01, 12.46it/s]<lambdifygenerated-137004>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (-sinh(S1))**_a0_\n",
+      "<lambdifygenerated-137005>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (-sinh(S1))**_a0_\n",
+      "<lambdifygenerated-137012>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return (sqrt(S1) + _a0_)/(sqrt(S1)*relu(_a0_))\n",
+      "<lambdifygenerated-137013>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return (sqrt(S1) + _a0_)/(sqrt(S1)*relu(_a0_))\n",
+      "<lambdifygenerated-137019>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S2/relu(S1))\n",
+      "<lambdifygenerated-137020>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S2/relu(S1))\n",
+      "<lambdifygenerated-137041>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return sinh(S1)**(S2**S1)\n",
+      "<lambdifygenerated-137042>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return sinh(S1)**(S2**S1)\n",
+      "<lambdifygenerated-137043>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return sinh(S1)**(S2**S1)\n",
+      "<lambdifygenerated-137044>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(sinh(sin(S1)))**_a0_))\n",
+      "<lambdifygenerated-137045>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(sinh(sin(S1)))**_a0_))\n",
+      "<lambdifygenerated-137046>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(sinh(relu(_a0_))**_a0_)\n",
+      " 49%|████▉     | 735/1500 [00:50<00:59, 12.93it/s]<lambdifygenerated-137061>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S2/S1)\n",
+      "<lambdifygenerated-137062>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S2/S1)\n",
+      "<lambdifygenerated-137085>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (sqrt(S1) + _a0_)**(sqrt(S1)*relu(S1))\n",
+      "<lambdifygenerated-137110>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(relu(S1))**_a0_\n",
+      "<lambdifygenerated-137114>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(relu(relu(sinh(S1))**(S1**S1)))\n",
+      "<lambdifygenerated-137115>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(relu(relu(sinh(S1))**(S1**S1)))\n",
+      "<lambdifygenerated-137116>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(relu(relu(sinh(S1))**(S1**S1)))\n",
+      " 49%|████▉     | 737/1500 [00:50<00:58, 13.02it/s]<lambdifygenerated-137129>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log(-_a0_*relu(S2)/relu(_a0_))\n",
+      "<lambdifygenerated-137147>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(_a0_)**_a0_))\n",
+      "<lambdifygenerated-137148>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(_a0_)**_a0_))\n",
+      "<lambdifygenerated-137149>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(log(relu(S1))**_a0_)\n",
+      "<lambdifygenerated-137162>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(sin(_a0_)/_a0_)*exp(-S1)\n",
+      " 49%|████▉     | 739/1500 [00:51<01:01, 12.37it/s]<lambdifygenerated-137222>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (sqrt(S1) + _a0_)/(sqrt(_a0_)*relu(S1))\n",
+      "<lambdifygenerated-137223>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (sqrt(S1) + _a0_)/(sqrt(_a0_)*relu(S1))\n",
+      "<lambdifygenerated-137237>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu(S2*relu(_a0_**_a0_)**S1))\n",
+      "<lambdifygenerated-137238>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu(S2*relu(_a0_**_a0_)**S1))\n",
+      "<lambdifygenerated-137239>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu(S2*relu(_a0_**_a0_)**S1))\n",
+      "<lambdifygenerated-137240>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S1/_a0_)**_a0_\n",
+      "<lambdifygenerated-137241>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S1/_a0_)**_a0_\n",
+      "<lambdifygenerated-137250>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return _a0_**(sqrt(S1))/(sqrt(S1)*relu(S1))\n",
+      "<lambdifygenerated-137251>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return _a0_**(sqrt(S1))/(sqrt(S1)*relu(S1))\n",
+      "<lambdifygenerated-137252>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(S1/_a0_)**_a0_\n",
+      "<lambdifygenerated-137253>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(S1/_a0_)**_a0_\n",
+      "<lambdifygenerated-137254>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(S1/_a0_)**_a0_\n",
+      " 49%|████▉     | 741/1500 [00:51<01:27,  8.70it/s]<lambdifygenerated-137276>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return sinh(S1)**(S2**S1)\n",
+      "<lambdifygenerated-137277>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return sinh(S1)**(S2**S1)\n",
+      "<lambdifygenerated-137288>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-_a0_*relu(_a0_)/relu(S1))\n",
+      " 50%|████▉     | 743/1500 [00:51<01:15, 10.00it/s]<lambdifygenerated-137319>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S2*relu(S2))\n",
+      "<lambdifygenerated-137320>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S2*relu(S2))\n",
+      "<lambdifygenerated-137321>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S2*relu(S2))\n",
+      "<lambdifygenerated-137326>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (relu(relu(S2/_a0_))/sin(S1))**sig(relu(S1))\n",
+      "<lambdifygenerated-137327>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (relu(relu(S2/_a0_))/sin(S1))**sig(relu(S1))\n",
+      "<lambdifygenerated-137328>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-S1/_a0_)*exp(-S1)\n",
+      "<lambdifygenerated-137329>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-S1/_a0_)*exp(-S1)\n",
+      "<lambdifygenerated-137330>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-S1/_a0_)*exp(-S1)\n",
+      "<lambdifygenerated-137337>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return sinh(relu(-S2))**_a0_\n",
+      "<lambdifygenerated-137338>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return sinh(relu(-S2))**_a0_\n",
+      "<lambdifygenerated-137339>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return sinh(relu(-S2))**_a0_\n",
+      "<lambdifygenerated-137340>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S1 + _a0_)**_a0_\n",
+      "<lambdifygenerated-137341>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S1 + _a0_)**_a0_\n",
+      "<lambdifygenerated-137348>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(_a0_/S2)**_a0_\n",
+      "<lambdifygenerated-137349>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(_a0_/S2)**_a0_\n",
+      " 50%|████▉     | 745/1500 [00:51<01:08, 11.09it/s]<lambdifygenerated-137385>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(S2*_a0_/relu(S1))\n",
+      "<lambdifygenerated-137386>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(S2*_a0_/relu(S1))\n",
+      "<lambdifygenerated-137404>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(_a0_/S2)**_a0_\n",
+      "<lambdifygenerated-137405>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(_a0_/S2)**_a0_\n",
+      "<lambdifygenerated-137416>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(_a0_)**_a0_\n",
+      "<lambdifygenerated-137417>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(_a0_)**_a0_\n",
+      "<lambdifygenerated-137424>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S2*relu(S2)/relu(S1))\n",
+      "<lambdifygenerated-137442>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(sin(S1))**_a0_\n",
+      "<lambdifygenerated-137443>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(sinh(relu(tan(_a0_)))**_a0_)\n",
+      "<lambdifygenerated-137444>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(sinh(relu(tan(_a0_)))**_a0_)\n",
+      "<lambdifygenerated-137445>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(sinh(relu(tan(_a0_)))**_a0_)\n",
+      "<lambdifygenerated-137452>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return (sqrt(S1) + _a0_)/(sqrt(S1)*relu(sin(S1)))\n",
+      "<lambdifygenerated-137453>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return (sqrt(S1) + _a0_)/(sqrt(S1)*relu(sin(S1)))\n",
+      "<lambdifygenerated-137454>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return (sqrt(S1) + _a0_)/(sqrt(S1)*relu(sin(S1)))\n",
+      " 50%|████▉     | 747/1500 [00:51<01:05, 11.56it/s]<lambdifygenerated-137476>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return sinh(relu(tan(S2)))**_a0_\n",
+      "<lambdifygenerated-137477>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return sinh(relu(tan(S2)))**_a0_\n",
+      "<lambdifygenerated-137478>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return sinh(relu(tan(S2)))**_a0_\n",
+      "<lambdifygenerated-137494>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S1*relu(S2)/relu(S1))\n",
+      " 50%|████▉     | 749/1500 [00:52<01:00, 12.31it/s]<lambdifygenerated-137531>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-_a0_*cos(S2)/relu(S1))\n",
+      "<lambdifygenerated-137532>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-_a0_*cos(S2)/relu(S1))\n",
+      "<lambdifygenerated-137568>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S2*relu(S2)/relu(S1))\n",
+      "<lambdifygenerated-137593>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(S2 + _a0_)**_a0_)\n",
+      "<lambdifygenerated-137594>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(S2 + _a0_)**_a0_)\n",
+      "<lambdifygenerated-137597>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(relu(sinh(S1))**(sqrt(_a0_))))\n",
+      "<lambdifygenerated-137598>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(relu(sinh(S1))**(sqrt(_a0_))))\n",
+      "<lambdifygenerated-137599>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(relu(sinh(S1))**(sqrt(_a0_))))\n",
+      " 50%|█████     | 751/1500 [00:52<01:01, 12.11it/s]<lambdifygenerated-137620>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return exp(-S1)*sqrt(tan(_a0_))\n",
+      "<lambdifygenerated-137632>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(exp(cos(S1 + exp(_a0_*_a0_**S2)))))\n",
+      "<lambdifygenerated-137633>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(exp(cos(S1 + exp(_a0_*_a0_**S2)))))\n",
+      "<lambdifygenerated-137634>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(S1 + _a0_)**_a0_))\n",
+      "<lambdifygenerated-137635>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(S1 + _a0_)**_a0_))\n",
+      "<lambdifygenerated-137640>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(S2/_a0_))**_a0_\n",
+      "<lambdifygenerated-137641>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(S2/_a0_))**_a0_\n",
+      "<lambdifygenerated-137643>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-(_a0_ + relu(S2))/relu(S1))\n",
+      "<lambdifygenerated-137644>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(tan(S1))\n",
+      "<lambdifygenerated-137645>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(tan(S1))\n",
+      "<lambdifygenerated-137674>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return relu(sinh(S2**S1))**_a0_\n",
+      "<lambdifygenerated-137675>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return relu(sinh(S2**S1))**_a0_\n",
+      "<lambdifygenerated-137676>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return relu(sinh(S2**S1))**_a0_\n",
+      " 50%|█████     | 753/1500 [00:52<00:57, 12.90it/s]<lambdifygenerated-137695>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return sinh(S1**S2)**_a0_\n",
+      "<lambdifygenerated-137696>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return sinh(S1**S2)**_a0_\n",
+      "<lambdifygenerated-137704>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return (sqrt(S1) + _a0_)/(relu(S1)*sqrt(relu(_a0_)))\n",
+      "<lambdifygenerated-137705>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return (sqrt(S1) + _a0_)/(relu(S1)*sqrt(relu(_a0_)))\n",
+      "<lambdifygenerated-137706>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return (sqrt(S1) + _a0_)/(relu(S1)*sqrt(relu(_a0_)))\n",
+      "<lambdifygenerated-137736>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (-sinh(S1))**_a0_\n",
+      " 50%|█████     | 755/1500 [00:52<00:55, 13.37it/s]<lambdifygenerated-137772>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return sinh(S1**S1)**_a0_\n",
+      "<lambdifygenerated-137773>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return sinh(S1**S1)**_a0_\n",
+      "<lambdifygenerated-137789>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(log(_a0_)/S1)\n",
+      "<lambdifygenerated-137790>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(log(_a0_)/S1)\n",
+      " 50%|█████     | 757/1500 [00:52<00:55, 13.49it/s]<lambdifygenerated-137819>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S1*relu(S2)/relu(S1))\n",
+      "<lambdifygenerated-137833>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sqrt(sig(log(tan(S1)))/relu(S1))\n",
+      "<lambdifygenerated-137834>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sqrt(sig(log(tan(S1)))/relu(S1))\n",
+      "<lambdifygenerated-137835>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sqrt(sig(log(tan(S1)))/relu(S1))\n",
+      "<lambdifygenerated-137860>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(log(_a0_)**_a0_/(S1 + _a0_))\n",
+      "<lambdifygenerated-137861>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(log(_a0_)**_a0_/(S1 + _a0_))\n",
+      "<lambdifygenerated-137862>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(log(_a0_)**_a0_/(S1 + _a0_))\n",
+      "<lambdifygenerated-137876>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(relu(exp(cos(S1 + exp(_a0_*(S2 + S2**S2))))))\n",
+      "<lambdifygenerated-137876>:2: RuntimeWarning: invalid value encountered in cos\n",
+      "  return relu(relu(exp(cos(S1 + exp(_a0_*(S2 + S2**S2))))))\n",
+      "<lambdifygenerated-137884>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(sin(S1)))**_a0_\n",
+      "<lambdifygenerated-137885>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(sin(S1)))**_a0_\n",
+      "<lambdifygenerated-137886>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(sin(S1)))**_a0_\n",
+      " 51%|█████     | 759/1500 [00:52<00:54, 13.62it/s]<lambdifygenerated-137896>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(S2*_a0_)*exp(-S2 - _a0_)\n",
+      "<lambdifygenerated-137919>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(S1 + _a0_))**_a0_\n",
+      "<lambdifygenerated-137920>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(S1 + _a0_))**_a0_\n",
+      "<lambdifygenerated-137921>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(S1 + _a0_))**_a0_\n",
+      "<lambdifygenerated-137956>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return (sqrt(S1) + _a0_)/(sqrt(S1)*relu(sin(S2)))\n",
+      "<lambdifygenerated-137957>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return (sqrt(S1) + _a0_)/(sqrt(S1)*relu(sin(S2)))\n",
+      "<lambdifygenerated-137958>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return (sqrt(S1) + _a0_)/(sqrt(S1)*relu(sin(S2)))\n",
+      " 51%|█████     | 761/1500 [00:52<00:55, 13.41it/s]<lambdifygenerated-137964>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(_a0_**3*relu(S2)**3/relu(S1)**3)\n",
+      "<lambdifygenerated-137965>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(_a0_**3*relu(S2)**3/relu(S1)**3)\n",
+      "<lambdifygenerated-137969>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(_a0_*cos(S2))*exp(-S1)\n",
+      "<lambdifygenerated-137970>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(_a0_*cos(S2))*exp(-S1)\n",
+      "<lambdifygenerated-137971>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(_a0_*cos(S2))*exp(-S1)\n",
+      "<lambdifygenerated-137994>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-_a0_*relu(S2 + _a0_)/relu(S1))\n",
+      "<lambdifygenerated-137995>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-_a0_*relu(S2 + _a0_)/relu(S1))\n",
+      "<lambdifygenerated-137996>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-_a0_*relu(S2 + _a0_)/relu(S1))\n",
+      "<lambdifygenerated-138008>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*relu(sig(_a0_))**(_a0_**S1)))\n",
+      "<lambdifygenerated-138009>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*relu(sig(_a0_))**(_a0_**S1)))\n",
+      "<lambdifygenerated-138010>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*relu(sig(_a0_))**(_a0_**S1)))\n",
+      "<lambdifygenerated-138021>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (sqrt(S1) + _a0_)/(relu(S1)*sqrt(cos(S1)))\n",
+      "<lambdifygenerated-138022>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (sqrt(S1) + _a0_)/(relu(S1)*sqrt(cos(S1)))\n",
+      "<lambdifygenerated-138023>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (sqrt(S1) + _a0_)/(relu(S1)*sqrt(cos(S1)))\n",
+      " 51%|█████     | 763/1500 [00:53<00:54, 13.55it/s]<lambdifygenerated-138029>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/relu(S1))\n",
+      "<lambdifygenerated-138030>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/relu(S1))\n",
+      "<lambdifygenerated-138031>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/relu(S1))\n",
+      "<lambdifygenerated-138047>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu((-sinh(S2))**_a0_)\n",
+      "<lambdifygenerated-138048>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu((-sinh(S2))**_a0_)\n",
+      "<lambdifygenerated-138049>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu((-sinh(S2))**_a0_)\n",
+      "<lambdifygenerated-138055>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(sin(sinh(S1))**_a0_))\n",
+      "<lambdifygenerated-138062>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S2**3*_a0_/relu(S1))\n",
+      "<lambdifygenerated-138085>:2: RuntimeWarning: divide by zero encountered in scalar divide\n",
+      "  return relu(exp(_a0_/relu(_a0_))/S1)\n",
+      "<lambdifygenerated-138086>:2: RuntimeWarning: divide by zero encountered in scalar divide\n",
+      "  return relu(exp(_a0_/relu(_a0_))/S1)\n",
+      " 51%|█████     | 765/1500 [00:53<00:52, 14.13it/s]<lambdifygenerated-138093>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S2*relu(S2)/relu(S1))\n",
+      "<lambdifygenerated-138108>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(S2/_a0_)/sqrt(tan(S2)))\n",
+      "<lambdifygenerated-138109>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(S2/_a0_)/sqrt(tan(S2)))\n",
+      "<lambdifygenerated-138110>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(S2/_a0_)/sqrt(tan(S2)))\n",
+      "<lambdifygenerated-138131>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(S2*_a0_/relu(S1))\n",
+      "<lambdifygenerated-138154>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(cos(sinh(S1))**_a0_))\n",
+      "<lambdifygenerated-138155>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sin(_a0_)**(-_a0_)\n",
+      " 51%|█████     | 767/1500 [00:53<00:51, 14.12it/s]<lambdifygenerated-138165>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-_a0_**2/relu(S1))\n",
+      "<lambdifygenerated-138166>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-_a0_**2/relu(S1))\n",
+      "<lambdifygenerated-138167>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-_a0_**2/relu(S1))\n",
+      "<lambdifygenerated-138185>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(exp(_a0_**relu(S1))/S1)\n",
+      "<lambdifygenerated-138186>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(exp(_a0_**relu(S1))/S1)\n",
+      "<lambdifygenerated-138190>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-_a0_*relu(S2)/tan(S1))\n",
+      "<lambdifygenerated-138191>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-_a0_*relu(S2)/tan(S1))\n",
+      "<lambdifygenerated-138198>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return exp(-S1)*sqrt(tan(S1))\n",
+      "<lambdifygenerated-138199>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return exp(-S1)*sqrt(tan(S1))\n",
+      "<lambdifygenerated-138201>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(sig(log(S2**2))/(S2 + _a0_))\n",
+      "<lambdifygenerated-138220>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return (sqrt(S1) + _a0_**_a0_)/(sqrt(S1)*relu(S1))\n",
+      "<lambdifygenerated-138221>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return (sqrt(S1) + _a0_**_a0_)/(sqrt(S1)*relu(S1))\n",
+      "<lambdifygenerated-138222>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return (sqrt(S1) + _a0_**_a0_)/(sqrt(S1)*relu(S1))\n",
+      " 51%|█████▏    | 769/1500 [00:53<00:51, 14.11it/s]<lambdifygenerated-138225>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S2*relu(S2))\n",
+      "<lambdifygenerated-138226>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S2*relu(S2))\n",
+      "<lambdifygenerated-138254>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(tan(S1))**_a0_))\n",
+      "<lambdifygenerated-138260>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(_a0_)**_a0_\n",
+      "<lambdifygenerated-138261>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(_a0_)**_a0_\n",
+      "<lambdifygenerated-138263>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(sin(S1))\n",
+      "<lambdifygenerated-138264>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(sin(S1))\n",
+      "<lambdifygenerated-138265>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(sin(S1))\n",
+      "<lambdifygenerated-138279>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sqrt(sig(log(log(S1)))/relu(S1))\n",
+      "<lambdifygenerated-138280>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sqrt(sig(log(log(S1)))/relu(S1))\n",
+      "<lambdifygenerated-138281>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sqrt(sig(log(log(S1)))/relu(S1))\n",
+      "<lambdifygenerated-138300>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sin(sinh(S1))**_a0_\n",
+      " 51%|█████▏    | 771/1500 [00:53<00:54, 13.44it/s]<lambdifygenerated-138305>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-(_a0_ + relu(S2))/relu(S1))\n",
+      "<lambdifygenerated-138336>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(_a0_*relu(S2)/S1)\n",
+      "<lambdifygenerated-138337>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(_a0_*relu(S2)/S1)\n",
+      "<lambdifygenerated-138357>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(relu(sinh(S1))**(sqrt(_a0_))))\n",
+      "<lambdifygenerated-138358>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(relu(sinh(S1))**(sqrt(_a0_))))\n",
+      "<lambdifygenerated-138364>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return (sqrt(S1) + _a0_)/(sqrt(S1)*relu(_a0_/S1))\n",
+      "<lambdifygenerated-138365>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return (sqrt(S1) + _a0_)/(sqrt(S1)*relu(_a0_/S1))\n",
+      "<lambdifygenerated-138366>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return (sqrt(S1) + _a0_)/(sqrt(S1)*relu(_a0_/S1))\n",
+      " 52%|█████▏    | 773/1500 [00:53<00:53, 13.64it/s]<lambdifygenerated-138391>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(2*_a0_)**_a0_\n",
+      "<lambdifygenerated-138392>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(2*_a0_)**_a0_\n",
+      "<lambdifygenerated-138404>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(S2/cos(S1))\n",
+      "<lambdifygenerated-138405>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(S2/cos(S1))\n",
+      "<lambdifygenerated-138406>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-_a0_*relu(S2/_a0_)/relu(S1))\n",
+      "<lambdifygenerated-138407>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-_a0_*relu(S2/_a0_)/relu(S1))\n",
+      "<lambdifygenerated-138408>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-_a0_*relu(S2/_a0_)/relu(S1))\n",
+      " 52%|█████▏    | 775/1500 [00:53<00:52, 13.76it/s]<lambdifygenerated-138477>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S2*relu(S2)/relu(S1))\n",
+      "<lambdifygenerated-138487>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sqrt(sig(log(S2*sin(S1)))/relu(S1))\n",
+      "<lambdifygenerated-138488>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sqrt(sig(log(S2*sin(S1)))/relu(S1))\n",
+      "<lambdifygenerated-138489>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sqrt(sig(log(S2*sin(S1)))/relu(S1))\n",
+      "<lambdifygenerated-138491>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2*_a0_)**_a0_\n",
+      "<lambdifygenerated-138492>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2*_a0_)**_a0_\n",
+      "<lambdifygenerated-138501>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return S1**(_a0_**S1)\n",
+      "<lambdifygenerated-138502>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return S1**(_a0_**S1)\n",
+      "<lambdifygenerated-138503>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return (sqrt(S1) + _a0_)/(sqrt(S1)*relu(_a0_))\n",
+      " 52%|█████▏    | 777/1500 [00:54<00:50, 14.24it/s]<lambdifygenerated-138533>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sin(relu(S1))**_a0_\n",
+      "<lambdifygenerated-138539>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return (sqrt(S1) + _a0_)/(sqrt(S1)*relu(tan(S2)))\n",
+      "<lambdifygenerated-138540>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return (sqrt(S1) + _a0_)/(sqrt(S1)*relu(tan(S2)))\n",
+      "<lambdifygenerated-138541>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return (sqrt(S1) + _a0_)/(sqrt(S1)*relu(tan(S2)))\n",
+      "<lambdifygenerated-138542>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(sinh(_a0_))**_a0_\n",
+      "<lambdifygenerated-138562>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(S2/_a0_)/sqrt(-S1*S2))\n",
+      "<lambdifygenerated-138563>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(S2/_a0_)/sqrt(-S1*S2))\n",
+      "<lambdifygenerated-138564>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(S2/_a0_)/sqrt(-S1*S2))\n",
+      "<lambdifygenerated-138568>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sin(S1)**_a0_\n",
+      "<lambdifygenerated-138569>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(relu(exp(cos(S1 + exp(_a0_*(S1**S2 + _a0_))))))\n",
+      "<lambdifygenerated-138569>:2: RuntimeWarning: invalid value encountered in cos\n",
+      "  return relu(relu(exp(cos(S1 + exp(_a0_*(S1**S2 + _a0_))))))\n",
+      "<lambdifygenerated-138575>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S1/_a0_)**_a0_\n",
+      "<lambdifygenerated-138576>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S1/_a0_)**_a0_\n",
+      " 52%|█████▏    | 779/1500 [00:54<00:54, 13.16it/s]<lambdifygenerated-138602>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sin(S1)**_a0_\n",
+      "<lambdifygenerated-138612>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (sqrt(S1) + _a0_)/(relu(S1)*sqrt(log(S1)))\n",
+      "<lambdifygenerated-138613>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (sqrt(S1) + _a0_)/(relu(S1)*sqrt(log(S1)))\n",
+      "<lambdifygenerated-138614>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (sqrt(S1) + _a0_)/(relu(S1)*sqrt(log(S1)))\n",
+      "<lambdifygenerated-138615>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(sinh(log(_a0_)))**_a0_\n",
+      "<lambdifygenerated-138616>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(sinh(log(_a0_)))**_a0_\n",
+      "<lambdifygenerated-138622>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2))\n",
+      "<lambdifygenerated-138623>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2))\n",
+      "<lambdifygenerated-138653>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(exp(_a0_**relu(S1))/S1)\n",
+      " 52%|█████▏    | 781/1500 [00:54<00:52, 13.64it/s]<lambdifygenerated-138655>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(-_a0_*_a0_**(-S1)*relu(S2))\n",
+      "<lambdifygenerated-138655>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-_a0_*_a0_**(-S1)*relu(S2))\n",
+      "<lambdifygenerated-138656>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(-_a0_*_a0_**(-S1)*relu(S2))\n",
+      "<lambdifygenerated-138656>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-_a0_*_a0_**(-S1)*relu(S2))\n",
+      "<lambdifygenerated-138662>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-_a0_)*exp(-S1)\n",
+      "<lambdifygenerated-138663>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-_a0_)*exp(-S1)\n",
+      "<lambdifygenerated-138673>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(sinh(_a0_))**_a0_))\n",
+      "<lambdifygenerated-138680>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(exp(_a0_**relu(S1))/S1)\n",
+      "<lambdifygenerated-138684>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(-(_a0_*relu(S2))**relu(S1))\n",
+      "<lambdifygenerated-138691>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(S2)*sig(sig(S1))**(S2**S1*_a0_)\n",
+      "<lambdifygenerated-138705>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(cos(S1))**_a0_\n",
+      "<lambdifygenerated-138708>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(sinh(relu(_a0_)))**_a0_))\n",
+      "<lambdifygenerated-138709>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(sinh(relu(_a0_)))**_a0_))\n",
+      "<lambdifygenerated-138711>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(log(S2)))**_a0_\n",
+      "<lambdifygenerated-138712>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(log(S2)))**_a0_\n",
+      "<lambdifygenerated-138713>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(log(S2)))**_a0_\n",
+      "<lambdifygenerated-138714>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(exp(cosh(S2)/relu(S1))/S1)\n",
+      "<lambdifygenerated-138715>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(exp(cosh(S2)/relu(S1))/S1)\n",
+      "<lambdifygenerated-138716>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(exp(cosh(S2)/relu(S1))/S1)\n",
+      " 52%|█████▏    | 783/1500 [00:54<00:51, 14.03it/s]<lambdifygenerated-138720>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-_a0_*exp(S2)/relu(S1))\n",
+      "<lambdifygenerated-138738>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sinh(relu(S1))**(sqrt(_a0_))\n",
+      "<lambdifygenerated-138739>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sinh(relu(S1))**(sqrt(_a0_))\n",
+      "<lambdifygenerated-138740>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sinh(relu(S1))**(sqrt(_a0_))\n",
+      "<lambdifygenerated-138743>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(_a0_)**_a0_))\n",
+      "<lambdifygenerated-138744>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(_a0_)**_a0_))\n",
+      "<lambdifygenerated-138748>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(S1*_a0_)**_a0_\n",
+      "<lambdifygenerated-138749>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(S1*_a0_)**_a0_\n",
+      " 52%|█████▏    | 785/1500 [00:54<00:49, 14.49it/s]<lambdifygenerated-138823>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)*log(S2)/relu(S1))\n",
+      "<lambdifygenerated-138824>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)*log(S2)/relu(S1))\n",
+      "<lambdifygenerated-138825>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)*log(S2)/relu(S1))\n",
+      "<lambdifygenerated-138831>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(S2/_a0_)*exp(-exp(S2))\n",
+      "<lambdifygenerated-138858>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(S1/_a0_))**_a0_\n",
+      "<lambdifygenerated-138859>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(S1/_a0_))**_a0_\n",
+      "<lambdifygenerated-138860>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(S1/_a0_))**_a0_\n",
+      " 52%|█████▏    | 787/1500 [00:54<00:50, 14.17it/s]<lambdifygenerated-138868>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(S1/(S2*_a0_))*exp(-S1)\n",
+      "<lambdifygenerated-138894>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(_a0_**_a0_)**_a0_\n",
+      "<lambdifygenerated-138895>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(_a0_**_a0_)**_a0_\n",
+      "<lambdifygenerated-138901>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log(-_a0_*relu(S2)/relu(relu(_a0_)))\n",
+      "<lambdifygenerated-138902>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log(-_a0_*relu(S2)/relu(relu(_a0_)))\n",
+      "<lambdifygenerated-138903>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log(-_a0_*relu(S2)/relu(relu(_a0_)))\n",
+      "<lambdifygenerated-138925>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return sinh(relu(S1**S2))**_a0_\n",
+      "<lambdifygenerated-138926>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return sinh(relu(S1**S2))**_a0_\n",
+      "<lambdifygenerated-138927>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return sinh(relu(S1**S2))**_a0_\n",
+      " 53%|█████▎    | 789/1500 [00:54<00:51, 13.85it/s]<lambdifygenerated-138936>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(tan(_a0_))\n",
+      "<lambdifygenerated-138937>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(tan(_a0_))\n",
+      "<lambdifygenerated-138952>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(fac(S1)/_a0_)*exp(-S1)\n",
+      "<lambdifygenerated-138966>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(relu(exp(abs(S1 + exp(_a0_*(S2 + _a0_))))))\n",
+      "<lambdifygenerated-138991>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sqrt(sig(log(tan(S1)))/relu(S1))\n",
+      "<lambdifygenerated-138992>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sqrt(sig(log(tan(S1)))/relu(S1))\n",
+      "<lambdifygenerated-139000>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S2 + _a0_)**_a0_\n",
+      "<lambdifygenerated-139001>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S2 + _a0_)**_a0_\n",
+      " 53%|█████▎    | 791/1500 [00:55<00:53, 13.14it/s]<lambdifygenerated-139023>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sqrt(sig(log(S2*cos(S2)))/relu(S1))\n",
+      "<lambdifygenerated-139024>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sqrt(sig(log(S2*cos(S2)))/relu(S1))\n",
+      "<lambdifygenerated-139025>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sqrt(sig(log(S2*cos(S2)))/relu(S1))\n",
+      "<lambdifygenerated-139034>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sinh(log(_a0_))**_a0_\n",
+      "<lambdifygenerated-139035>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sinh(log(_a0_))**_a0_\n",
+      "<lambdifygenerated-139036>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sinh(log(_a0_))**_a0_\n",
+      "<lambdifygenerated-139037>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sin(S1)**_a0_\n",
+      "<lambdifygenerated-139038>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return sinh(relu(S2*_a0_))**_a0_\n",
+      "<lambdifygenerated-139039>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return sinh(relu(S2*_a0_))**_a0_\n",
+      "<lambdifygenerated-139040>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return sinh(relu(S2*_a0_))**_a0_\n",
+      "<lambdifygenerated-139045>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return S1**(S2**S1)\n",
+      "<lambdifygenerated-139046>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return S1**(S2**S1)\n",
+      "<lambdifygenerated-139052>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(-_a0_*relu(_a0_)/relu(S1))\n",
+      "<lambdifygenerated-139063>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu(exp(cos(S1 + exp(_a0_*(_a0_ + _a0_**_a0_))))))\n",
+      "<lambdifygenerated-139064>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu(exp(cos(S1 + exp(_a0_*(_a0_ + _a0_**_a0_))))))\n",
+      "<lambdifygenerated-139065>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu(exp(cos(S1 + exp(_a0_*(_a0_ + _a0_**_a0_))))))\n",
+      "<lambdifygenerated-139070>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return tanh(_a0_)**(-_a0_)\n",
+      " 53%|█████▎    | 793/1500 [00:55<00:53, 13.18it/s]<lambdifygenerated-139096>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(S1)**_a0_\n",
+      "<lambdifygenerated-139101>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(_a0_)**_a0_))\n",
+      "<lambdifygenerated-139102>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(_a0_)**_a0_))\n",
+      "<lambdifygenerated-139108>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-(S2 + _a0_)*relu(S2)/relu(S1))\n",
+      "<lambdifygenerated-139109>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-(S2 + _a0_)*relu(S2)/relu(S1))\n",
+      "<lambdifygenerated-139110>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-(S2 + _a0_)*relu(S2)/relu(S1))\n",
+      "<lambdifygenerated-139132>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(tan(S1))**_a0_))\n",
+      "<lambdifygenerated-139138>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(-S1)**_a0_\n",
+      " 53%|█████▎    | 795/1500 [00:55<00:51, 13.74it/s]<lambdifygenerated-139163>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return _a0_**(sqrt(S1))/(sqrt(S1)*relu(S1))\n",
+      "<lambdifygenerated-139164>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(S1*_a0_)**_a0_))\n",
+      "<lambdifygenerated-139165>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(S1*_a0_)**_a0_))\n",
+      "<lambdifygenerated-139175>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return _a0_*log(-_a0_*relu(S2)/relu(S1))\n",
+      "<lambdifygenerated-139195>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S1 + _a0_)**_a0_\n",
+      "<lambdifygenerated-139196>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S1 + _a0_)**_a0_\n",
+      "<lambdifygenerated-139197>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(sinh(_a0_))**_a0_\n",
+      "<lambdifygenerated-139198>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(sinh(_a0_))**_a0_\n",
+      "<lambdifygenerated-139199>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(sinh(_a0_))**_a0_\n",
+      " 53%|█████▎    | 797/1500 [00:55<00:51, 13.75it/s]<lambdifygenerated-139214>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S1*relu(S2)/relu(S1))\n",
+      "<lambdifygenerated-139235>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-_a0_)\n",
+      "<lambdifygenerated-139236>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-_a0_)\n",
+      "<lambdifygenerated-139251>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-139255>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return _a0_**(-S2)*(sqrt(S1) + _a0_)/relu(S1)\n",
+      "<lambdifygenerated-139256>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return _a0_**(-S2)*(sqrt(S1) + _a0_)/relu(S1)\n",
+      "<lambdifygenerated-139257>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return _a0_**(-S2)*(sqrt(S1) + _a0_)/relu(S1)\n",
+      " 53%|█████▎    | 799/1500 [00:55<00:47, 14.87it/s]<lambdifygenerated-139270>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S2**_a0_*_a0_/relu(S1))\n",
+      "<lambdifygenerated-139288>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(exp(cos(S1 + sqrt(_a0_*(S2 + _a0_))))))\n",
+      "<lambdifygenerated-139289>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(exp(cos(S1 + sqrt(_a0_*(S2 + _a0_))))))\n",
+      "<lambdifygenerated-139295>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return sinh(S2**S2)**_a0_\n",
+      "<lambdifygenerated-139296>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return sinh(S2**S2)**_a0_\n",
+      "<lambdifygenerated-139319>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sqrt(sig(log(-S2**2))/relu(S1))\n",
+      "<lambdifygenerated-139320>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sqrt(sig(log(-S2**2))/relu(S1))\n",
+      "<lambdifygenerated-139321>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sqrt(sig(log(-S2**2))/relu(S1))\n",
+      " 53%|█████▎    | 801/1500 [00:55<00:48, 14.48it/s]<lambdifygenerated-139360>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return tan(S1)**_a0_\n",
+      "<lambdifygenerated-139367>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-139368>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-139392>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(relu(sinh(S1))**(_a0_**S2)))\n",
+      "<lambdifygenerated-139393>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(relu(sinh(S1))**(_a0_**S2)))\n",
+      "<lambdifygenerated-139394>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(relu(sinh(S1))**(_a0_**S2)))\n",
+      " 54%|█████▎    | 803/1500 [00:55<00:47, 14.74it/s]<lambdifygenerated-139430>:2: RuntimeWarning: divide by zero encountered in scalar divide\n",
+      "  return relu(exp(_a0_/relu(_a0_))/S1)\n",
+      "<lambdifygenerated-139448>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu(_a0_**_a0_*relu(sig(_a0_))**S1))\n",
+      "<lambdifygenerated-139449>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu(_a0_**_a0_*relu(sig(_a0_))**S1))\n",
+      "<lambdifygenerated-139450>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu(_a0_**_a0_*relu(sig(_a0_))**S1))\n",
+      "<lambdifygenerated-139453>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(S1)**_a0_\n",
+      "<lambdifygenerated-139454>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (-sinh(S1))**_a0_\n",
+      " 54%|█████▎    | 805/1500 [00:56<00:45, 15.14it/s]<lambdifygenerated-139491>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (sqrt(S1) + _a0_)/(sqrt(_a0_)*relu(S1))\n",
+      "<lambdifygenerated-139499>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S1**2*relu(S2)/relu(S1))\n",
+      "<lambdifygenerated-139500>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S1**2*relu(S2)/relu(S1))\n",
+      "<lambdifygenerated-139501>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S1**2*relu(S2)/relu(S1))\n",
+      "<lambdifygenerated-139520>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(S1)**_a0_\n",
+      " 54%|█████▍    | 807/1500 [00:56<00:47, 14.72it/s]<lambdifygenerated-139555>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (sqrt(S1) + _a0_)/(sqrt(S1/_a0_)*relu(S1))\n",
+      "<lambdifygenerated-139556>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (sqrt(S1) + _a0_)/(sqrt(S1/_a0_)*relu(S1))\n",
+      "<lambdifygenerated-139557>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (sqrt(S1) + _a0_)/(sqrt(S1/_a0_)*relu(S1))\n",
+      "<lambdifygenerated-139568>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S2/relu(S1))\n",
+      "<lambdifygenerated-139569>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S2/relu(S1))\n",
+      "<lambdifygenerated-139578>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sqrt(sig(log(cos(S2)))/relu(S1))\n",
+      "<lambdifygenerated-139579>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sqrt(sig(log(cos(S2)))/relu(S1))\n",
+      "<lambdifygenerated-139580>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sqrt(sig(log(cos(S2)))/relu(S1))\n",
+      "<lambdifygenerated-139589>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-139593>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(sinh(S2/_a0_))**_a0_))\n",
+      "<lambdifygenerated-139594>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(sinh(S2/_a0_))**_a0_))\n",
+      "<lambdifygenerated-139595>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(sinh(S2/_a0_))**_a0_))\n",
+      "<lambdifygenerated-139601>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(sinh(S1))**_a0_\n",
+      " 54%|█████▍    | 809/1500 [00:56<00:49, 14.08it/s]<lambdifygenerated-139605>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(-(_a0_*relu(S2))**relu(S1))\n",
+      "<lambdifygenerated-139638>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return cos(sinh(S1))**_a0_\n",
+      "<lambdifygenerated-139640>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S2*relu(S2)/relu(S1))\n",
+      "<lambdifygenerated-139646>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return exp(-S1)*sqrt(sin(S2))\n",
+      "<lambdifygenerated-139647>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return exp(-S1)*sqrt(sin(S2))\n",
+      "<lambdifygenerated-139657>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return (sqrt(S1) + _a0_)/(sqrt(S1)*relu(_a0_))\n",
+      "<lambdifygenerated-139663>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(_a0_/S2)**_a0_\n",
+      "<lambdifygenerated-139664>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(_a0_/S2)**_a0_\n",
+      " 54%|█████▍    | 811/1500 [00:56<00:47, 14.39it/s]<lambdifygenerated-139668>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-_a0_**2/relu(S1))\n",
+      "<lambdifygenerated-139669>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-_a0_**2/relu(S1))\n",
+      "<lambdifygenerated-139692>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(exp(_a0_**relu(S1))/S1)\n",
+      "<lambdifygenerated-139697>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S2*relu(S2)/relu(S1))\n",
+      " 54%|█████▍    | 813/1500 [00:56<00:45, 15.07it/s]<lambdifygenerated-139734>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(cos(S1)**_a0_/(S1 + _a0_))\n",
+      "<lambdifygenerated-139735>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(cos(S1)**_a0_/(S1 + _a0_))\n",
+      "<lambdifygenerated-139749>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-139752>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(-sinh(S1))**_a0_))\n",
+      "<lambdifygenerated-139753>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(-sinh(S1))**_a0_))\n",
+      "<lambdifygenerated-139755>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return S1**(S1**S2)\n",
+      "<lambdifygenerated-139756>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return S1**(S1**S2)\n",
+      "<lambdifygenerated-139761>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-_a0_**2/relu(relu(S1)))\n",
+      "<lambdifygenerated-139762>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-_a0_**2/relu(relu(S1)))\n",
+      "<lambdifygenerated-139763>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-_a0_**2/relu(relu(S1)))\n",
+      "<lambdifygenerated-139769>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(S2**_a0_/(S1 + _a0_))\n",
+      "<lambdifygenerated-139785>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return cos(S1)**_a0_\n",
+      " 54%|█████▍    | 815/1500 [00:56<00:46, 14.63it/s]<lambdifygenerated-139800>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(S2/sin(S2))\n",
+      "<lambdifygenerated-139801>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(S2/sin(S2))\n",
+      "<lambdifygenerated-139802>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)*cos(S1)/relu(relu(S1)))\n",
+      "<lambdifygenerated-139803>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)*cos(S1)/relu(relu(S1)))\n",
+      "<lambdifygenerated-139804>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)*cos(S1)/relu(relu(S1)))\n",
+      "<lambdifygenerated-139821>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sin(S1)**_a0_\n",
+      "<lambdifygenerated-139848>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-139851>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(_a0_)**_a0_))\n",
+      "<lambdifygenerated-139852>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(_a0_)**_a0_))\n",
+      "<lambdifygenerated-139858>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(sinh(_a0_))**_a0_\n",
+      " 54%|█████▍    | 817/1500 [00:56<00:44, 15.26it/s]<lambdifygenerated-139862>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log(-_a0_*relu(S2)/relu(S2*_a0_))\n",
+      "<lambdifygenerated-139863>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log(-_a0_*relu(S2)/relu(S2*_a0_))\n",
+      "<lambdifygenerated-139864>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log(-_a0_*relu(S2)/relu(S2*_a0_))\n",
+      "<lambdifygenerated-139877>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S1 + _a0_)**_a0_\n",
+      "<lambdifygenerated-139878>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S1 + _a0_)**_a0_\n",
+      "<lambdifygenerated-139880>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2*_a0_)**_a0_\n",
+      "<lambdifygenerated-139881>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2*_a0_)**_a0_\n",
+      "<lambdifygenerated-139892>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log(-_a0_*relu(S2)/relu(_a0_))\n",
+      "<lambdifygenerated-139893>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log(-_a0_*relu(S2)/relu(_a0_))\n",
+      "<lambdifygenerated-139914>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return (sqrt(S1) + _a0_)/(sqrt(S1)*relu(tan(_a0_)))\n",
+      "<lambdifygenerated-139915>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return (sqrt(S1) + _a0_)/(sqrt(S1)*relu(tan(_a0_)))\n",
+      "<lambdifygenerated-139916>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return (sqrt(S1) + _a0_)/(sqrt(S1)*relu(tan(_a0_)))\n",
+      "<lambdifygenerated-139917>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(cos(sinh(S1))**_a0_))\n",
+      "<lambdifygenerated-139918>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(exp(_a0_/relu(S1))/log(_a0_))\n",
+      "<lambdifygenerated-139919>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(exp(_a0_/relu(S1))/log(_a0_))\n",
+      "<lambdifygenerated-139920>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(exp(_a0_/relu(S1))/log(_a0_))\n",
+      " 55%|█████▍    | 819/1500 [00:56<00:45, 15.01it/s]<lambdifygenerated-139946>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2/_a0_)**_a0_\n",
+      "<lambdifygenerated-139947>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2/_a0_)**_a0_\n",
+      "<lambdifygenerated-139951>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (_a0_ + sqrt(sin(S2)))/(sqrt(S1)*relu(S1))\n",
+      "<lambdifygenerated-139952>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (_a0_ + sqrt(sin(S2)))/(sqrt(S1)*relu(S1))\n",
+      "<lambdifygenerated-139953>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (_a0_ + sqrt(sin(S2)))/(sqrt(S1)*relu(S1))\n",
+      "<lambdifygenerated-139963>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-(_a0_ + relu(S2))/relu(relu(S1)))\n",
+      "<lambdifygenerated-139964>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-(_a0_ + relu(S2))/relu(relu(S1)))\n",
+      " 55%|█████▍    | 821/1500 [00:57<00:46, 14.63it/s]<lambdifygenerated-139997>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(S2/log(S2))\n",
+      "<lambdifygenerated-139998>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(S2/log(S2))\n",
+      "<lambdifygenerated-140021>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return (sqrt(S1) + _a0_)/(sqrt(S1)*relu(_a0_))\n",
+      "<lambdifygenerated-140022>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return (sqrt(S1) + _a0_)/(sqrt(S1)*relu(_a0_))\n",
+      "<lambdifygenerated-140034>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S2*relu(S2)/relu(relu(S1)))\n",
+      "<lambdifygenerated-140035>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S2*relu(S2)/relu(relu(S1)))\n",
+      "<lambdifygenerated-140058>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(_a0_)**_a0_))\n",
+      "<lambdifygenerated-140059>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(_a0_)**_a0_))\n",
+      " 55%|█████▍    | 823/1500 [00:57<00:47, 14.21it/s]<lambdifygenerated-140089>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(sinh(tan(S2)))**_a0_))\n",
+      "<lambdifygenerated-140090>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(sinh(tan(S2)))**_a0_))\n",
+      "<lambdifygenerated-140091>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(sinh(tan(S2)))**_a0_))\n",
+      "<lambdifygenerated-140092>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-140095>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(exp(_a0_/relu(S1))/sqrt(_a0_))\n",
+      "<lambdifygenerated-140096>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(exp(_a0_/relu(S1))/sqrt(_a0_))\n",
+      "<lambdifygenerated-140097>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(exp(_a0_/relu(S1))/sqrt(_a0_))\n",
+      "<lambdifygenerated-140128>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(_a0_**(-_a0_)*exp(_a0_/relu(S1)))\n",
+      "<lambdifygenerated-140129>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(_a0_**(-_a0_)*exp(_a0_/relu(S1)))\n",
+      "<lambdifygenerated-140130>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(_a0_**(-_a0_)*exp(_a0_/relu(S1)))\n",
+      " 55%|█████▌    | 825/1500 [00:57<00:47, 14.24it/s]<lambdifygenerated-140158>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(sinh(cos(S1)))**_a0_))\n",
+      "<lambdifygenerated-140159>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(sinh(cos(S1)))**_a0_))\n",
+      "<lambdifygenerated-140160>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return cos(S1)**_a0_\n",
+      "<lambdifygenerated-140163>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(sinh(_a0_**3))**_a0_\n",
+      "<lambdifygenerated-140164>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(sinh(_a0_**3))**_a0_\n",
+      "<lambdifygenerated-140170>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S1/relu(relu(S1)))\n",
+      "<lambdifygenerated-140171>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S1/relu(relu(S1)))\n",
+      "<lambdifygenerated-140172>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S1/relu(relu(S1)))\n",
+      "<lambdifygenerated-140190>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return (2*_a0_)**_a0_\n",
+      "<lambdifygenerated-140191>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return (2*_a0_)**_a0_\n",
+      "<lambdifygenerated-140193>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (sqrt(S1) + _a0_)**(sqrt(S1)*relu(cosh(S1)))\n",
+      "<lambdifygenerated-140197>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(exp(_a0_/relu(S2 + _a0_))/S1)\n",
+      "<lambdifygenerated-140198>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(exp(_a0_/relu(S2 + _a0_))/S1)\n",
+      "<lambdifygenerated-140199>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(exp(_a0_/relu(S2 + _a0_))/S1)\n",
+      " 55%|█████▌    | 827/1500 [00:57<00:47, 14.05it/s]<lambdifygenerated-140206>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (relu(relu(S2*_a0_))/cos(S1))**sig(relu(S1))\n",
+      "<lambdifygenerated-140207>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (relu(relu(S2*_a0_))/cos(S1))**sig(relu(S1))\n",
+      " 55%|█████▌    | 829/1500 [00:57<00:46, 14.33it/s]<lambdifygenerated-140272>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-_a0_**2/relu(relu(S1)))\n",
+      "<lambdifygenerated-140273>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-_a0_**2/relu(relu(S1)))\n",
+      "<lambdifygenerated-140292>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_**3)**_a0_\n",
+      "<lambdifygenerated-140293>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_**3)**_a0_\n",
+      "<lambdifygenerated-140318>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(sig(log(S2**2))/cos(S1))\n",
+      "<lambdifygenerated-140319>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(sig(log(S2**2))/cos(S1))\n",
+      "<lambdifygenerated-140331>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(_a0_/S1)**_a0_))\n",
+      "<lambdifygenerated-140332>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(_a0_/S1)**_a0_))\n",
+      "<lambdifygenerated-140333>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(_a0_**S2)**_a0_\n",
+      "<lambdifygenerated-140334>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(_a0_**S2)**_a0_\n",
+      "<lambdifygenerated-140337>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(S2/_a0_))**_a0_\n",
+      "<lambdifygenerated-140338>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(S2/_a0_))**_a0_\n",
+      " 55%|█████▌    | 831/1500 [00:57<00:47, 14.20it/s]<lambdifygenerated-140343>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-_a0_*relu(S2)/relu(S1**3)))\n",
+      "<lambdifygenerated-140352>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sqrt(_a0_**_a0_/_a0_)*exp(-S1)\n",
+      "<lambdifygenerated-140382>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-_a0_*relu(S1**3)/relu(relu(S1))))\n",
+      " 56%|█████▌    | 833/1500 [00:57<00:47, 14.09it/s]<lambdifygenerated-140413>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-_a0_**2/relu(relu(S1))))\n",
+      "<lambdifygenerated-140414>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-_a0_**2/relu(relu(S1))))\n",
+      "<lambdifygenerated-140415>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-_a0_**2/relu(relu(S1))))\n",
+      "<lambdifygenerated-140442>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(_a0_/S1)**_a0_\n",
+      "<lambdifygenerated-140443>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(_a0_/S1)**_a0_\n",
+      "<lambdifygenerated-140444>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(_a0_/S1)**_a0_\n",
+      " 56%|█████▌    | 837/1500 [00:58<00:45, 14.70it/s]<lambdifygenerated-140568>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_/S1)**_a0_\n",
+      "<lambdifygenerated-140569>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_/S1)**_a0_\n",
+      "<lambdifygenerated-140611>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(_a0_**_a0_)**_a0_\n",
+      "<lambdifygenerated-140612>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(_a0_**_a0_)**_a0_\n",
+      " 56%|█████▌    | 839/1500 [00:58<00:44, 14.78it/s]<lambdifygenerated-140616>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-_a0_*relu(S2)/relu(relu(S1))))/S1\n",
+      "<lambdifygenerated-140618>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-_a0_)\n",
+      "<lambdifygenerated-140619>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-_a0_)\n",
+      "<lambdifygenerated-140643>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(S2*_a0_))**_a0_\n",
+      "<lambdifygenerated-140644>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(S2*_a0_))**_a0_\n",
+      "<lambdifygenerated-140649>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-relu(S2)**2/relu(relu(S1))))\n",
+      "<lambdifygenerated-140650>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-relu(S2)**2/relu(relu(S1))))\n",
+      "<lambdifygenerated-140651>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-relu(S2)**2/relu(relu(S1))))\n",
+      " 56%|█████▌    | 841/1500 [00:58<00:43, 15.08it/s]<lambdifygenerated-140701>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(exp(cos(S1 + exp((S2 + _a0_)**_a0_)))))\n",
+      "<lambdifygenerated-140702>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(exp(cos(S1 + exp((S2 + _a0_)**_a0_)))))\n",
+      "<lambdifygenerated-140719>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-relu(S2)*exp(S2)/relu(relu(S1))))\n",
+      "<lambdifygenerated-140720>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-relu(S2)*exp(S2)/relu(relu(S1))))\n",
+      "<lambdifygenerated-140721>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-relu(S2)*exp(S2)/relu(relu(S1))))\n",
+      "<lambdifygenerated-140730>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(sqrt(S2/_a0_)*exp(-S1))\n",
+      "<lambdifygenerated-140736>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-140743>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_**_a0_)**_a0_\n",
+      "<lambdifygenerated-140744>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_**_a0_)**_a0_\n",
+      "<lambdifygenerated-140745>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(S1*_a0_)**_a0_))\n",
+      "<lambdifygenerated-140746>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(S1*_a0_)**_a0_))\n",
+      "<lambdifygenerated-140754>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return S1**(S1**S2)\n",
+      "<lambdifygenerated-140755>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return S1**(S1**S2)\n",
+      " 56%|█████▌    | 843/1500 [00:58<00:45, 14.35it/s]<lambdifygenerated-140756>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(tan(S2)/S1)\n",
+      "<lambdifygenerated-140779>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(tan(sinh(S1))**_a0_))\n",
+      "<lambdifygenerated-140788>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(relu(S2)/log(S2))\n",
+      "<lambdifygenerated-140789>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(relu(S2)/log(S2))\n",
+      "<lambdifygenerated-140790>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(relu(S2)/log(S2))\n",
+      "<lambdifygenerated-140791>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-relu(S2)*abs(S1)/relu(relu(S1))))\n",
+      "<lambdifygenerated-140792>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-relu(S2)*abs(S1)/relu(relu(S1))))\n",
+      "<lambdifygenerated-140793>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-relu(S2)*abs(S1)/relu(relu(S1))))\n",
+      "<lambdifygenerated-140811>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*relu(sig(_a0_**S1))**S1))\n",
+      "<lambdifygenerated-140812>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*relu(sig(_a0_**S1))**S1))\n",
+      "<lambdifygenerated-140813>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*relu(sig(_a0_**S1))**S1))\n",
+      "<lambdifygenerated-140824>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(S2/_a0_)**_a0_\n",
+      "<lambdifygenerated-140825>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(S2/_a0_)**_a0_\n",
+      " 56%|█████▋    | 845/1500 [00:58<00:46, 13.98it/s]<lambdifygenerated-140831>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(log(_a0_*relu(S2)/relu(relu(S1)))))\n",
+      "<lambdifygenerated-140832>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(log(_a0_*relu(S2)/relu(relu(S1)))))\n",
+      "<lambdifygenerated-140837>:2: RuntimeWarning: invalid value encountered in divide\n",
+      "  return (relu(relu(S2*_a0_))/relu(_a0_))**sig(relu(S1))\n",
+      "<lambdifygenerated-140846>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(S1)**(_a0_**_a0_)\n",
+      "<lambdifygenerated-140847>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(S1)**(_a0_**_a0_)\n",
+      "<lambdifygenerated-140852>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu(relu(sinh(_a0_**_a0_))**_a0_))\n",
+      "<lambdifygenerated-140853>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu(relu(sinh(_a0_**_a0_))**_a0_))\n",
+      "<lambdifygenerated-140856>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(_a0_)**_a0_\n",
+      "<lambdifygenerated-140857>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(_a0_)**_a0_\n",
+      "<lambdifygenerated-140863>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return relu(log(-_a0_*relu(sinh(_a0_))/relu(relu(S1))))\n",
+      "<lambdifygenerated-140864>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return relu(log(-_a0_*relu(sinh(_a0_))/relu(relu(S1))))\n",
+      "<lambdifygenerated-140865>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return relu(log(-_a0_*relu(sinh(_a0_))/relu(relu(S1))))\n",
+      "<lambdifygenerated-140873>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return exp(-S1)*sqrt(sin(S1))\n",
+      "<lambdifygenerated-140874>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return exp(-S1)*sqrt(sin(S1))\n",
+      "<lambdifygenerated-140875>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return exp(-S1)*sqrt(sin(S1))\n",
+      "<lambdifygenerated-140895>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S2 + _a0_)**_a0_\n",
+      "<lambdifygenerated-140896>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S2 + _a0_)**_a0_\n",
+      " 56%|█████▋    | 847/1500 [00:58<00:47, 13.89it/s]<lambdifygenerated-140940>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return relu(log(-_a0_*relu(S1*_a0_)/relu(relu(S1))))\n",
+      "<lambdifygenerated-140941>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return relu(log(-_a0_*relu(S1*_a0_)/relu(relu(S1))))\n",
+      "<lambdifygenerated-140942>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return relu(log(-_a0_*relu(S1*_a0_)/relu(relu(S1))))\n",
+      "<lambdifygenerated-140968>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(S1*_a0_)**_a0_)\n",
+      "<lambdifygenerated-140969>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(S1*_a0_)**_a0_)\n",
+      "<lambdifygenerated-140974>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2/_a0_)**(-_a0_)\n",
+      " 57%|█████▋    | 849/1500 [00:59<00:48, 13.33it/s]<lambdifygenerated-140979>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S1*relu(S2)/relu(relu(S1))))\n",
+      "<lambdifygenerated-140980>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S1*relu(S2)/relu(relu(S1))))\n",
+      "<lambdifygenerated-140991>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(S2/_a0_)/sqrt(cos(_a0_)))\n",
+      "<lambdifygenerated-140992>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(S2/_a0_)/sqrt(cos(_a0_)))\n",
+      "<lambdifygenerated-140993>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(S2/_a0_)/sqrt(cos(_a0_)))\n",
+      "<lambdifygenerated-141004>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (sqrt(S2) + _a0_**S1)/(sqrt(S1)*relu(cosh(fac(S1))))\n",
+      "<lambdifygenerated-141005>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (sqrt(S2) + _a0_**S1)/(sqrt(S1)*relu(cosh(fac(S1))))\n",
+      "<lambdifygenerated-141006>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (sqrt(S2) + _a0_**S1)/(sqrt(S1)*relu(cosh(fac(S1))))\n",
+      "<lambdifygenerated-141008>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(_a0_**_a0_)\n",
+      "<lambdifygenerated-141009>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(_a0_**_a0_)\n",
+      "<lambdifygenerated-141014>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sin(S2)**(-_a0_)\n",
+      "<lambdifygenerated-141015>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sin(S2)**(-_a0_)\n",
+      "<lambdifygenerated-141016>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sin(S2)**(-_a0_)\n",
+      "<lambdifygenerated-141017>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-_a0_*tan(S2)/relu(relu(S1))))\n",
+      "<lambdifygenerated-141018>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-_a0_*tan(S2)/relu(relu(S1))))\n",
+      "<lambdifygenerated-141050>:2: RuntimeWarning: divide by zero encountered in scalar divide\n",
+      "  return exp(_a0_/relu(_a0_))/S1\n",
+      "<lambdifygenerated-141051>:2: RuntimeWarning: divide by zero encountered in scalar divide\n",
+      "  return exp(_a0_/relu(_a0_))/S1\n",
+      "<lambdifygenerated-141052>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return tan(sinh(S1))**_a0_\n",
+      " 57%|█████▋    | 851/1500 [00:59<00:49, 13.08it/s]<lambdifygenerated-141056>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(tan(_a0_*relu(S2)/relu(relu(S1)))))\n",
+      "<lambdifygenerated-141057>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(tan(_a0_*relu(S2)/relu(relu(S1)))))\n",
+      "<lambdifygenerated-141062>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (-relu(relu(S2*_a0_))/S1)**sig(relu(S1))\n",
+      "<lambdifygenerated-141063>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (-relu(relu(S2*_a0_))/S1)**sig(relu(S1))\n",
+      "<lambdifygenerated-141084>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(sinh(_a0_**3))**_a0_))\n",
+      "<lambdifygenerated-141085>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(sinh(_a0_**3))**_a0_))\n",
+      "<lambdifygenerated-141086>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(sinh(_a0_**3))**_a0_))\n",
+      "<lambdifygenerated-141090>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(S1)**_a0_\n",
+      "<lambdifygenerated-141096>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2*relu(S2)/relu(relu(S1))))\n",
+      "<lambdifygenerated-141097>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2*relu(S2)/relu(relu(S1))))\n",
+      "<lambdifygenerated-141112>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(log(S1))**_a0_\n",
+      "<lambdifygenerated-141113>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(log(S1))**_a0_\n",
+      "<lambdifygenerated-141114>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(log(S1))**_a0_\n",
+      "<lambdifygenerated-141117>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (sqrt(S2) + _a0_)/(sqrt(S2 + _a0_)*relu(cosh(fac(S1))))\n",
+      "<lambdifygenerated-141118>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (sqrt(S2) + _a0_)/(sqrt(S2 + _a0_)*relu(cosh(fac(S1))))\n",
+      "<lambdifygenerated-141119>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (sqrt(S2) + _a0_)/(sqrt(S2 + _a0_)*relu(cosh(fac(S1))))\n",
+      "<lambdifygenerated-141120>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(tan(S1))**_a0_))\n",
+      "<lambdifygenerated-141121>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(_a0_**S2)**_a0_\n",
+      "<lambdifygenerated-141122>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(_a0_**S2)**_a0_\n",
+      " 57%|█████▋    | 853/1500 [00:59<00:48, 13.47it/s]<lambdifygenerated-141127>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return relu(log(-_a0_*relu(tan(S2))/relu(relu(S1))))\n",
+      "<lambdifygenerated-141128>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return relu(log(-_a0_*relu(tan(S2))/relu(relu(S1))))\n",
+      "<lambdifygenerated-141129>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return relu(log(-_a0_*relu(tan(S2))/relu(relu(S1))))\n",
+      "<lambdifygenerated-141143>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(S2/_a0_)/sqrt(S2*tan(S1)))\n",
+      "<lambdifygenerated-141144>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(S2/_a0_)/sqrt(S2*tan(S1)))\n",
+      "<lambdifygenerated-141145>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(S2/_a0_)/sqrt(S2*tan(S1)))\n",
+      "<lambdifygenerated-141168>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(log(-_a0_*relu(S2)/relu(_a0_**_a0_)))\n",
+      "<lambdifygenerated-141169>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(log(-_a0_*relu(S2)/relu(_a0_**_a0_)))\n",
+      "<lambdifygenerated-141170>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(log(-_a0_*relu(S2)/relu(_a0_**_a0_)))\n",
+      "<lambdifygenerated-141196>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_**S2)**_a0_\n",
+      "<lambdifygenerated-141197>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_**S2)**_a0_\n",
+      " 57%|█████▋    | 855/1500 [00:59<00:48, 13.23it/s]<lambdifygenerated-141205>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return _a0_ + relu(log(-_a0_*relu(S2)/relu(relu(S1))))\n",
+      "<lambdifygenerated-141205>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return _a0_ + relu(log(-_a0_*relu(S2)/relu(relu(S1))))\n",
+      "<lambdifygenerated-141229>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (sqrt(S2) + _a0_)/(sqrt(_a0_)*relu(cosh(fac(S1))))\n",
+      "<lambdifygenerated-141230>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (sqrt(S2) + _a0_)/(sqrt(_a0_)*relu(cosh(fac(S1))))\n",
+      "<lambdifygenerated-141231>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(_a0_/S1)**_a0_))\n",
+      "<lambdifygenerated-141232>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(_a0_/S1)**_a0_))\n",
+      "<lambdifygenerated-141233>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(_a0_**_a0_)\n",
+      "<lambdifygenerated-141234>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(_a0_**_a0_)\n",
+      "<lambdifygenerated-141239>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return S1**log(_a0_)\n",
+      "<lambdifygenerated-141253>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(S2)*sig(sig(S1))**(_a0_*_a0_**S2)\n",
+      "<lambdifygenerated-141254>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(S2)*sig(sig(S1))**(_a0_*_a0_**S2)\n",
+      " 57%|█████▋    | 857/1500 [00:59<00:47, 13.56it/s]<lambdifygenerated-141274>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(log(-_a0_*relu(S2)/relu(_a0_**S2)))\n",
+      "<lambdifygenerated-141274>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-_a0_*relu(S2)/relu(_a0_**S2)))\n",
+      "<lambdifygenerated-141275>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(log(-_a0_*relu(S2)/relu(_a0_**S2)))\n",
+      "<lambdifygenerated-141275>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-_a0_*relu(S2)/relu(_a0_**S2)))\n",
+      "<lambdifygenerated-141276>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(log(-_a0_*relu(S2)/relu(_a0_**S2)))\n",
+      "<lambdifygenerated-141276>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-_a0_*relu(S2)/relu(_a0_**S2)))\n",
+      "<lambdifygenerated-141303>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(S1)**_a0_\n",
+      "<lambdifygenerated-141306>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-_a0_**2/relu(relu(S1))))\n",
+      "<lambdifygenerated-141307>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-_a0_**2/relu(relu(S1))))\n",
+      "<lambdifygenerated-141329>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu((S1/_a0_)**_a0_)\n",
+      "<lambdifygenerated-141330>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu((S1/_a0_)**_a0_)\n",
+      "<lambdifygenerated-141331>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu((S1/_a0_)**_a0_)\n",
+      " 57%|█████▋    | 859/1500 [00:59<00:46, 13.66it/s]<lambdifygenerated-141372>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(S1)**_a0_\n",
+      "<lambdifygenerated-141402>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return (sqrt(S2) + _a0_)/(sqrt(S1)*relu(tan(fac(S1))))\n",
+      "<lambdifygenerated-141403>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return (sqrt(S2) + _a0_)/(sqrt(S1)*relu(tan(fac(S1))))\n",
+      "<lambdifygenerated-141405>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(_a0_**_a0_)\n",
+      "<lambdifygenerated-141406>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(_a0_**_a0_)\n",
+      "<lambdifygenerated-141407>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(_a0_/S1)**_a0_\n",
+      "<lambdifygenerated-141408>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(_a0_/S1)**_a0_\n",
+      " 57%|█████▋    | 861/1500 [00:59<00:45, 14.02it/s]<lambdifygenerated-141415>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(log(-_a0_*relu(_a0_**S1)/relu(relu(S1))))\n",
+      "<lambdifygenerated-141415>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return relu(log(-_a0_*relu(_a0_**S1)/relu(relu(S1))))\n",
+      "<lambdifygenerated-141416>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(log(-_a0_*relu(_a0_**S1)/relu(relu(S1))))\n",
+      "<lambdifygenerated-141416>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return relu(log(-_a0_*relu(_a0_**S1)/relu(relu(S1))))\n",
+      "<lambdifygenerated-141417>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(log(-_a0_*relu(_a0_**S1)/relu(relu(S1))))\n",
+      "<lambdifygenerated-141417>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return relu(log(-_a0_*relu(_a0_**S1)/relu(relu(S1))))\n",
+      "<lambdifygenerated-141418>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(sin(S2))\n",
+      "<lambdifygenerated-141419>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(sin(S2))\n",
+      "<lambdifygenerated-141432>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(S2*relu(sig(sqrt(_a0_)))**S1))\n",
+      "<lambdifygenerated-141433>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(S2*relu(sig(sqrt(_a0_)))**S1))\n",
+      "<lambdifygenerated-141439>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu(relu(sinh(_a0_**_a0_))**_a0_))\n",
+      "<lambdifygenerated-141440>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu(relu(sinh(_a0_**_a0_))**_a0_))\n",
+      "<lambdifygenerated-141445>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-141451>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-_a0_*relu(exp(_a0_))/relu(relu(S1))))\n",
+      "<lambdifygenerated-141451>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return relu(log(-_a0_*relu(exp(_a0_))/relu(relu(S1))))\n",
+      "<lambdifygenerated-141476>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S1 + _a0_)**_a0_\n",
+      "<lambdifygenerated-141477>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S1 + _a0_)**_a0_\n",
+      " 58%|█████▊    | 863/1500 [01:00<00:44, 14.19it/s]<lambdifygenerated-141484>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(cos(S1))\n",
+      "<lambdifygenerated-141485>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(cos(S1))\n",
+      "<lambdifygenerated-141498>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (-sinh(S1))**_a0_\n",
+      "<lambdifygenerated-141499>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (-sinh(S1))**_a0_\n",
+      "<lambdifygenerated-141501>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(relu(S2*relu(log(_a0_))**S1))\n",
+      "<lambdifygenerated-141502>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(relu(S2*relu(log(_a0_))**S1))\n",
+      "<lambdifygenerated-141503>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(sqrt(cos(S1 + exp(_a0_*(S2 + _a0_))))))\n",
+      "<lambdifygenerated-141504>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(sqrt(cos(S1 + exp(_a0_*(S2 + _a0_))))))\n",
+      "<lambdifygenerated-141507>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(sinh(S1/_a0_))**_a0_))\n",
+      "<lambdifygenerated-141508>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(sinh(S1/_a0_))**_a0_))\n",
+      "<lambdifygenerated-141509>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(_a0_)**_a0_)\n",
+      "<lambdifygenerated-141510>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(S1 + _a0_)**_a0_\n",
+      "<lambdifygenerated-141511>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(S1 + _a0_)**_a0_\n",
+      "<lambdifygenerated-141546>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(S1)**_a0_\n",
+      "<lambdifygenerated-141547>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return (2*_a0_)**_a0_\n",
+      "<lambdifygenerated-141548>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return (2*_a0_)**_a0_\n",
+      "<lambdifygenerated-141549>:2: RuntimeWarning: divide by zero encountered in scalar divide\n",
+      "  return exp(_a0_/relu(_a0_))/S1\n",
+      " 58%|█████▊    | 865/1500 [01:00<00:43, 14.47it/s]<lambdifygenerated-141553>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S1*relu(S2)/relu(relu(S1))))\n",
+      "<lambdifygenerated-141565>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(S2*relu(sig(sqrt(_a0_)))**S1))\n",
+      "<lambdifygenerated-141566>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(S2*relu(sig(sqrt(_a0_)))**S1))\n",
+      "<lambdifygenerated-141570>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (sqrt(_a0_) + _a0_)/(sqrt(S1)*relu(cosh(fac(S1))))\n",
+      "<lambdifygenerated-141571>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (sqrt(_a0_) + _a0_)/(sqrt(S1)*relu(cosh(fac(S1))))\n",
+      "<lambdifygenerated-141613>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return relu(sinh(S2**S2))**_a0_\n",
+      "<lambdifygenerated-141614>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return relu(sinh(S2**S2))**_a0_\n",
+      " 58%|█████▊    | 867/1500 [01:00<00:45, 14.01it/s]<lambdifygenerated-141622>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(tan(S2)/S1)\n",
+      "<lambdifygenerated-141643>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(_a0_/S2)**_a0_))\n",
+      "<lambdifygenerated-141644>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(_a0_/S2)**_a0_))\n",
+      "<lambdifygenerated-141646>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(cos(S1))**_a0_\n",
+      "<lambdifygenerated-141681>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(_a0_**S2)**_a0_\n",
+      "<lambdifygenerated-141681>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(_a0_**S2)**_a0_\n",
+      "<lambdifygenerated-141682>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(_a0_**S2)**_a0_\n",
+      "<lambdifygenerated-141682>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(_a0_**S2)**_a0_\n",
+      "<lambdifygenerated-141683>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(_a0_**S2)**_a0_\n",
+      "<lambdifygenerated-141683>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(_a0_**S2)**_a0_\n",
+      " 58%|█████▊    | 869/1500 [01:00<00:44, 14.18it/s]<lambdifygenerated-141690>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return relu(log(-_a0_*relu(S2*_a0_)/relu(relu(S1))))\n",
+      "<lambdifygenerated-141691>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return relu(log(-_a0_*relu(S2*_a0_)/relu(relu(S1))))\n",
+      "<lambdifygenerated-141692>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return relu(log(-_a0_*relu(S2*_a0_)/relu(relu(S1))))\n",
+      "<lambdifygenerated-141712>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(_a0_)**_a0_)\n",
+      "<lambdifygenerated-141714>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return tan(sinh(S1))**_a0_\n",
+      "<lambdifygenerated-141730>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sqrt(sig(log(log(S2)))/relu(S1))\n",
+      "<lambdifygenerated-141731>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sqrt(sig(log(log(S2)))/relu(S1))\n",
+      "<lambdifygenerated-141732>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sqrt(sig(log(log(S2)))/relu(S1))\n",
+      " 58%|█████▊    | 871/1500 [01:00<00:42, 14.74it/s]<lambdifygenerated-141752>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-_a0_*relu(S1**S2)/relu(relu(S1))))\n",
+      "<lambdifygenerated-141765>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_**S2)**_a0_\n",
+      "<lambdifygenerated-141766>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_**S2)**_a0_\n",
+      "<lambdifygenerated-141778>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return cos(sinh(S1))**_a0_\n",
+      "<lambdifygenerated-141813>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(_a0_**_a0_)\n",
+      "<lambdifygenerated-141814>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(_a0_**_a0_)\n",
+      " 58%|█████▊    | 873/1500 [01:00<00:43, 14.42it/s]<lambdifygenerated-141864>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-_a0_*exp(S2)/relu(relu(S1))))\n",
+      "<lambdifygenerated-141886>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S1*_a0_)**_a0_\n",
+      "<lambdifygenerated-141887>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S1*_a0_)**_a0_\n",
+      "<lambdifygenerated-141888>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(sinh(S1))**(S2**S1)\n",
+      "<lambdifygenerated-141889>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(sinh(S1))**(S2**S1)\n",
+      " 58%|█████▊    | 875/1500 [01:00<00:43, 14.40it/s]<lambdifygenerated-141895>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return relu(log(-_a0_*relu(_a0_)/relu(relu(S1))))\n",
+      "<lambdifygenerated-141896>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return relu(log(-_a0_*relu(_a0_)/relu(relu(S1))))\n",
+      "<lambdifygenerated-141930>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-_a0_*relu(S2**2)/relu(relu(S1))))\n",
+      "<lambdifygenerated-141943>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(sig(log(S2**2))/sin(S1))\n",
+      "<lambdifygenerated-141944>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(sig(log(S2**2))/sin(S1))\n",
+      "<lambdifygenerated-141948>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(relu(exp(cos(S1 + exp(log(_a0_)/_a0_)))))\n",
+      "<lambdifygenerated-141949>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(relu(exp(cos(S1 + exp(log(_a0_)/_a0_)))))\n",
+      "<lambdifygenerated-141950>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (_a0_ + sqrt(S1 + _a0_))/(sqrt(S1)*relu(cosh(fac(S1))))\n",
+      "<lambdifygenerated-141951>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (_a0_ + sqrt(S1 + _a0_))/(sqrt(S1)*relu(cosh(fac(S1))))\n",
+      "<lambdifygenerated-141952>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (_a0_ + sqrt(S1 + _a0_))/(sqrt(S1)*relu(cosh(fac(S1))))\n",
+      "<lambdifygenerated-141954>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(sinh(S1)**(S1**S2))\n",
+      "<lambdifygenerated-141955>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(sinh(S1)**(S1**S2))\n",
+      "<lambdifygenerated-141956>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(sinh(S1)**(S1**S2))\n",
+      "<lambdifygenerated-141958>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S1*_a0_)**_a0_\n",
+      "<lambdifygenerated-141959>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S1*_a0_)**_a0_\n",
+      " 58%|█████▊    | 877/1500 [01:01<00:43, 14.21it/s]<lambdifygenerated-141963>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-_a0_**2/relu(relu(S1))))\n",
+      "<lambdifygenerated-141964>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-_a0_**2/relu(relu(S1))))\n",
+      "<lambdifygenerated-141991>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(tan(_a0_))**_a0_)\n",
+      "<lambdifygenerated-141992>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(tan(_a0_))**_a0_)\n",
+      "<lambdifygenerated-141993>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(tan(_a0_))**_a0_)\n",
+      "<lambdifygenerated-141994>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return tan(sinh(S1))**_a0_\n",
+      "<lambdifygenerated-141999>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return relu(log(-_a0_*relu(tan(S1))/relu(relu(S1))))\n",
+      "<lambdifygenerated-142000>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return relu(log(-_a0_*relu(tan(S1))/relu(relu(S1))))\n",
+      "<lambdifygenerated-142001>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return relu(log(-_a0_*relu(tan(S1))/relu(relu(S1))))\n",
+      "<lambdifygenerated-142024>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return tan(S1)**_a0_\n",
+      "<lambdifygenerated-142025>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sin(S1))**_a0_\n",
+      " 59%|█████▊    | 879/1500 [01:01<00:44, 13.88it/s]<lambdifygenerated-142063>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return S1**(S1**S2)\n",
+      "<lambdifygenerated-142064>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return S1**(S1**S2)\n",
+      "<lambdifygenerated-142065>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(tan(S2))\n",
+      "<lambdifygenerated-142066>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(tan(S2))\n",
+      "<lambdifygenerated-142078>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-_a0_**2)*exp(-S1)\n",
+      "<lambdifygenerated-142079>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-_a0_**2)*exp(-S1)\n",
+      "<lambdifygenerated-142080>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-_a0_**2)*exp(-S1)\n",
+      "<lambdifygenerated-142097>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(_a0_)**_a0_\n",
+      "<lambdifygenerated-142098>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(_a0_)**_a0_\n",
+      " 59%|█████▊    | 881/1500 [01:01<00:45, 13.55it/s]<lambdifygenerated-142115>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(_a0_*exp(S2))*exp(-S1)\n",
+      "<lambdifygenerated-142121>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-142136>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return -_a0_**_a0_\n",
+      "<lambdifygenerated-142137>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return -_a0_**_a0_\n",
+      " 59%|█████▉    | 883/1500 [01:01<00:45, 13.47it/s]<lambdifygenerated-142169>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(relu(S2)/sin(S1))\n",
+      "<lambdifygenerated-142170>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(relu(S2)/sin(S1))\n",
+      "<lambdifygenerated-142171>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(relu(S2)/sin(S1))\n",
+      "<lambdifygenerated-142232>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(S1)**_a0_\n",
+      " 59%|█████▉    | 885/1500 [01:01<00:45, 13.48it/s]<lambdifygenerated-142240>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-_a0_**2/relu(relu(S1))))\n",
+      "<lambdifygenerated-142241>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-_a0_**2/relu(relu(S1))))\n",
+      "<lambdifygenerated-142267>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return cos(S2)**_a0_\n",
+      "<lambdifygenerated-142268>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return cos(S2)**_a0_\n",
+      " 59%|█████▉    | 887/1500 [01:01<00:45, 13.49it/s]<lambdifygenerated-142308>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(log(-_a0_**_a0_*relu(S2)/relu(relu(S1))))\n",
+      "<lambdifygenerated-142309>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(log(-_a0_**_a0_*relu(S2)/relu(relu(S1))))\n",
+      "<lambdifygenerated-142310>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(log(-_a0_**_a0_*relu(S2)/relu(relu(S1))))\n",
+      "<lambdifygenerated-142335>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(tan(S2))**_a0_)\n",
+      "<lambdifygenerated-142336>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(tan(S2))**_a0_)\n",
+      "<lambdifygenerated-142337>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(tan(S2))**_a0_)\n",
+      " 59%|█████▉    | 889/1500 [01:01<00:43, 14.10it/s]<lambdifygenerated-142400>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(log(S1))**_a0_))\n",
+      "<lambdifygenerated-142401>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(log(S1))**_a0_))\n",
+      "<lambdifygenerated-142402>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return sinh(S1)**(S2**S2)\n",
+      "<lambdifygenerated-142403>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return sinh(S1)**(S2**S2)\n",
+      "<lambdifygenerated-142412>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(relu(S2)/(S2 + _a0_))\n",
+      "<lambdifygenerated-142433>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return sinh(S1)**(S2**S1)\n",
+      "<lambdifygenerated-142434>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return sinh(S1)**(S2**S1)\n",
+      " 59%|█████▉    | 891/1500 [01:02<00:45, 13.49it/s]<lambdifygenerated-142449>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(relu(S1/_a0_)/S1)\n",
+      "<lambdifygenerated-142475>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(sinh(cos(S1)))**_a0_))\n",
+      "<lambdifygenerated-142476>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(sinh(cos(S1)))**_a0_))\n",
+      "<lambdifygenerated-142478>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(S2*_a0_)**_a0_)\n",
+      "<lambdifygenerated-142479>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(S2*_a0_)**_a0_)\n",
+      "<lambdifygenerated-142499>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(tan(_a0_))**_a0_\n",
+      "<lambdifygenerated-142500>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(tan(_a0_))**_a0_\n",
+      "<lambdifygenerated-142501>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(tan(_a0_))**_a0_\n",
+      " 60%|█████▉    | 893/1500 [01:02<00:45, 13.28it/s]<lambdifygenerated-142554>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(_a0_**S1)**_a0_\n",
+      "<lambdifygenerated-142554>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(_a0_**S1)**_a0_\n",
+      "<lambdifygenerated-142555>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(_a0_**S1)**_a0_\n",
+      "<lambdifygenerated-142555>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(_a0_**S1)**_a0_\n",
+      "<lambdifygenerated-142559>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-_a0_*relu(S2)/relu(relu(_a0_))))\n",
+      "<lambdifygenerated-142560>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-_a0_*relu(S2)/relu(relu(_a0_))))\n",
+      "<lambdifygenerated-142587>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(sinh(_a0_))**_a0_\n",
+      " 60%|█████▉    | 895/1500 [01:02<00:44, 13.50it/s]<lambdifygenerated-142605>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-142649>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(S1/_a0_)**_a0_)\n",
+      "<lambdifygenerated-142650>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(S1/_a0_)**_a0_)\n",
+      "<lambdifygenerated-142651>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(S1/_a0_)**_a0_)\n",
+      "<lambdifygenerated-142652>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(S2 + _a0_))**_a0_\n",
+      "<lambdifygenerated-142653>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(S2 + _a0_))**_a0_\n",
+      " 60%|█████▉    | 897/1500 [01:02<00:43, 13.73it/s]<lambdifygenerated-142669>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(S2*_a0_)/_a0_**2\n",
+      "<lambdifygenerated-142688>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(sinh(_a0_))**_a0_\n",
+      "<lambdifygenerated-142689>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(_a0_)**_a0_\n",
+      "<lambdifygenerated-142690>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(_a0_)**_a0_\n",
+      "<lambdifygenerated-142717>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(_a0_/S1)**_a0_))\n",
+      "<lambdifygenerated-142718>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(_a0_/S1)**_a0_))\n",
+      " 60%|█████▉    | 899/1500 [01:02<00:43, 13.83it/s]<lambdifygenerated-142749>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(S1)**_a0_\n",
+      "<lambdifygenerated-142782>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(exp(cos(S1 + exp(_a0_**(2*S1)/_a0_)))))\n",
+      "<lambdifygenerated-142783>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(exp(cos(S1 + exp(_a0_**(2*S1)/_a0_)))))\n",
+      "<lambdifygenerated-142784>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(exp(cos(S1 + exp(_a0_**(2*S1)/_a0_)))))\n",
+      "<lambdifygenerated-142785>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (sqrt(_a0_) + _a0_)/(sqrt(S1)*relu(cosh(fac(S1))))\n",
+      "<lambdifygenerated-142796>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return -_a0_**_a0_\n",
+      "<lambdifygenerated-142797>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return -_a0_**_a0_\n",
+      " 60%|██████    | 901/1500 [01:02<00:44, 13.58it/s]<lambdifygenerated-142800>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-_a0_*relu(S2)/relu(S2 + _a0_)))\n",
+      "<lambdifygenerated-142801>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-_a0_*relu(S2)/relu(S2 + _a0_)))\n",
+      "<lambdifygenerated-142802>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-_a0_*relu(S2)/relu(S2 + _a0_)))\n",
+      "<lambdifygenerated-142830>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-2*S2*relu(S2)/relu(relu(S1))))\n",
+      "<lambdifygenerated-142831>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-2*S2*relu(S2)/relu(relu(S1))))\n",
+      "<lambdifygenerated-142832>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-2*S2*relu(S2)/relu(relu(S1))))\n",
+      "<lambdifygenerated-142845>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S1/_a0_)**_a0_\n",
+      "<lambdifygenerated-142846>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S1/_a0_)**_a0_\n",
+      "<lambdifygenerated-142855>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return sinh(S2**S1)**_a0_\n",
+      "<lambdifygenerated-142856>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return sinh(S2**S1)**_a0_\n",
+      " 60%|██████    | 903/1500 [01:03<00:43, 13.65it/s]<lambdifygenerated-142867>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-_a0_*relu(S2)/relu(relu(_a0_/S1))))\n",
+      "<lambdifygenerated-142868>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-_a0_*relu(S2)/relu(relu(_a0_/S1))))\n",
+      "<lambdifygenerated-142869>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-_a0_*relu(S2)/relu(relu(_a0_/S1))))\n",
+      "<lambdifygenerated-142884>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu(exp(cos(S1 + exp(_a0_**_a0_/_a0_)))))\n",
+      "<lambdifygenerated-142885>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu(exp(cos(S1 + exp(_a0_**_a0_/_a0_)))))\n",
+      "<lambdifygenerated-142886>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu(exp(cos(S1 + exp(_a0_**_a0_/_a0_)))))\n",
+      "<lambdifygenerated-142899>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return relu(log(-_a0_*relu(S2 + _a0_)/relu(relu(S1))))\n",
+      "<lambdifygenerated-142900>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return relu(log(-_a0_*relu(S2 + _a0_)/relu(relu(S1))))\n",
+      "<lambdifygenerated-142901>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return relu(log(-_a0_*relu(S2 + _a0_)/relu(relu(S1))))\n",
+      "<lambdifygenerated-142905>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return (S2/_a0_ + sin((3*S1 + S2)**(S2**S1)))*exp(-S1)\n",
+      "<lambdifygenerated-142905>:2: RuntimeWarning: invalid value encountered in sin\n",
+      "  return (S2/_a0_ + sin((3*S1 + S2)**(S2**S1)))*exp(-S1)\n",
+      "<lambdifygenerated-142906>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return (S2/_a0_ + sin((3*S1 + S2)**(S2**S1)))*exp(-S1)\n",
+      "<lambdifygenerated-142906>:2: RuntimeWarning: invalid value encountered in sin\n",
+      "  return (S2/_a0_ + sin((3*S1 + S2)**(S2**S1)))*exp(-S1)\n",
+      "<lambdifygenerated-142907>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return (S2/_a0_ + sin((3*S1 + S2)**(S2**S1)))*exp(-S1)\n",
+      "<lambdifygenerated-142907>:2: RuntimeWarning: invalid value encountered in sin\n",
+      "  return (S2/_a0_ + sin((3*S1 + S2)**(S2**S1)))*exp(-S1)\n",
+      "<lambdifygenerated-142909>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(S2/_a0_)/sqrt(-_a0_))\n",
+      "<lambdifygenerated-142910>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(S2/_a0_)/sqrt(-_a0_))\n",
+      "<lambdifygenerated-142911>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(S2/_a0_)/sqrt(-_a0_))\n",
+      "<lambdifygenerated-142927>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(_a0_**_a0_)\n",
+      "<lambdifygenerated-142928>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(_a0_**_a0_)\n",
+      " 60%|██████    | 905/1500 [01:03<00:42, 13.94it/s]<lambdifygenerated-142932>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-relu(S2)*cos(_a0_)/relu(relu(S1))))\n",
+      "<lambdifygenerated-142933>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-relu(S2)*cos(_a0_)/relu(relu(S1))))\n",
+      "<lambdifygenerated-142934>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-relu(S2)*cos(_a0_)/relu(relu(S1))))\n",
+      "<lambdifygenerated-142937>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (-relu(relu(S2/_a0_))/S1)**sig(relu(S1))\n",
+      "<lambdifygenerated-142938>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (-relu(relu(S2/_a0_))/S1)**sig(relu(S1))\n",
+      "<lambdifygenerated-142958>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(tanh(_a0_*relu(S2)/relu(relu(S1)))))\n",
+      "<lambdifygenerated-142959>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(tanh(_a0_*relu(S2)/relu(relu(S1)))))\n",
+      "<lambdifygenerated-142960>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(S2/cos(S2))\n",
+      "<lambdifygenerated-142961>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(S2/cos(S2))\n",
+      "<lambdifygenerated-142969>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(S2*_a0_)/sinh(S1)\n",
+      "<lambdifygenerated-142976>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S1 + _a0_)**_a0_\n",
+      "<lambdifygenerated-142977>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S1 + _a0_)**_a0_\n",
+      "<lambdifygenerated-142978>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return _a0_**(sqrt(S2))/(sqrt(S1)*relu(cosh(fac(S1))))\n",
+      "<lambdifygenerated-142979>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return _a0_**(sqrt(S2))/(sqrt(S1)*relu(cosh(fac(S1))))\n",
+      "<lambdifygenerated-142983>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_/S1)**_a0_\n",
+      "<lambdifygenerated-142984>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_/S1)**_a0_\n",
+      " 60%|██████    | 907/1500 [01:03<00:41, 14.16it/s]<lambdifygenerated-142994>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-_a0_*relu(S2)/relu(_a0_)))\n",
+      "<lambdifygenerated-142995>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-_a0_*relu(S2)/relu(_a0_)))\n",
+      "<lambdifygenerated-142996>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-_a0_*relu(S2)/relu(_a0_)))\n",
+      "<lambdifygenerated-143005>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sqrt(sig(log(S2*tan(S2)))/relu(S1))\n",
+      "<lambdifygenerated-143006>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sqrt(sig(log(S2*tan(S2)))/relu(S1))\n",
+      "<lambdifygenerated-143007>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sqrt(sig(log(S2*tan(S2)))/relu(S1))\n",
+      "<lambdifygenerated-143013>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return (2*_a0_)**_a0_\n",
+      "<lambdifygenerated-143014>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return (2*_a0_)**_a0_\n",
+      "<lambdifygenerated-143033>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2**3*_a0_/relu(relu(S1))))\n",
+      "<lambdifygenerated-143047>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_/S1)**_a0_\n",
+      "<lambdifygenerated-143048>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_/S1)**_a0_\n",
+      " 61%|██████    | 909/1500 [01:03<00:42, 13.96it/s]<lambdifygenerated-143075>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(S2/_a0_)/sqrt(S1*tan(S1)))\n",
+      "<lambdifygenerated-143076>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(S2/_a0_)/sqrt(S1*tan(S1)))\n",
+      "<lambdifygenerated-143077>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(S2/_a0_)/sqrt(S1*tan(S1)))\n",
+      "<lambdifygenerated-143091>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(tan(S1))**_a0_))\n",
+      "<lambdifygenerated-143096>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/S1)\n",
+      "<lambdifygenerated-143097>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/S1)\n",
+      "<lambdifygenerated-143116>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (_a0_ + sqrt(S1*_a0_))/(sqrt(S1)*relu(cosh(fac(S1))))\n",
+      "<lambdifygenerated-143117>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (_a0_ + sqrt(S1*_a0_))/(sqrt(S1)*relu(cosh(fac(S1))))\n",
+      "<lambdifygenerated-143118>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (_a0_ + sqrt(S1*_a0_))/(sqrt(S1)*relu(cosh(fac(S1))))\n",
+      "<lambdifygenerated-143124>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(_a0_)**_a0_))\n",
+      "<lambdifygenerated-143125>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(_a0_)**_a0_))\n",
+      " 61%|██████    | 911/1500 [01:03<00:44, 13.22it/s]<lambdifygenerated-143159>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sin(S1)**_a0_\n",
+      "<lambdifygenerated-143165>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(sinh(S1))**(S2**S1)\n",
+      "<lambdifygenerated-143166>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(sinh(S1))**(S2**S1)\n",
+      "<lambdifygenerated-143169>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-relu(S2)*tanh(S2)/relu(relu(S1))))\n",
+      "<lambdifygenerated-143170>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-relu(S2)*tanh(S2)/relu(relu(S1))))\n",
+      "<lambdifygenerated-143171>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-relu(S2)*tanh(S2)/relu(relu(S1))))\n",
+      "<lambdifygenerated-143193>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(exp(cos(S1 + sqrt(S2**2/_a0_)))))\n",
+      "<lambdifygenerated-143194>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(exp(cos(S1 + sqrt(S2**2/_a0_)))))\n",
+      " 61%|██████    | 913/1500 [01:03<00:43, 13.51it/s]<lambdifygenerated-143221>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(relu(S2*relu(sig(log(_a0_)))**S1))\n",
+      "<lambdifygenerated-143222>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(relu(S2*relu(sig(log(_a0_)))**S1))\n",
+      "<lambdifygenerated-143223>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(relu(S2*relu(sig(log(_a0_)))**S1))\n",
+      "<lambdifygenerated-143237>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return relu(sinh(S1**S2))**_a0_\n",
+      "<lambdifygenerated-143238>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return relu(sinh(S1**S2))**_a0_\n",
+      "<lambdifygenerated-143244>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S1**_a0_*relu(S2)/relu(relu(S1))))\n",
+      "<lambdifygenerated-143245>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S1**_a0_*relu(S2)/relu(relu(S1))))\n",
+      "<lambdifygenerated-143246>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S1**_a0_*relu(S2)/relu(relu(S1))))\n",
+      "<lambdifygenerated-143247>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(log(_a0_)/S1)\n",
+      "<lambdifygenerated-143248>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(log(_a0_)/S1)\n",
+      "<lambdifygenerated-143267>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(exp(cos(_a0_**S1 + exp(S2**2/_a0_)))))\n",
+      "<lambdifygenerated-143268>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(exp(cos(_a0_**S1 + exp(S2**2/_a0_)))))\n",
+      "<lambdifygenerated-143269>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(exp(cos(_a0_**S1 + exp(S2**2/_a0_)))))\n",
+      " 61%|██████    | 915/1500 [01:03<00:44, 13.24it/s]<lambdifygenerated-143281>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-relu(S2)*sin(S1)/relu(relu(S1))))\n",
+      "<lambdifygenerated-143282>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-relu(S2)*sin(S1)/relu(relu(S1))))\n",
+      "<lambdifygenerated-143283>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-relu(S2)*sin(S1)/relu(relu(S1))))\n",
+      "<lambdifygenerated-143306>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu((S1 + _a0_)**_a0_)\n",
+      "<lambdifygenerated-143307>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu((S1 + _a0_)**_a0_)\n",
+      "<lambdifygenerated-143313>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-_a0_*relu(S2)/relu(S2*_a0_)))\n",
+      "<lambdifygenerated-143314>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-_a0_*relu(S2)/relu(S2*_a0_)))\n",
+      "<lambdifygenerated-143315>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-_a0_*relu(S2)/relu(S2*_a0_)))\n",
+      "<lambdifygenerated-143335>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (sqrt(_a0_) + _a0_)/(sqrt(S1)*relu(cosh(fac(S1))))\n",
+      " 61%|██████    | 917/1500 [01:04<00:43, 13.26it/s]<lambdifygenerated-143352>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(log(-_a0_**S1*relu(S2)/relu(relu(S1))))\n",
+      "<lambdifygenerated-143353>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(log(-_a0_**S1*relu(S2)/relu(relu(S1))))\n",
+      "<lambdifygenerated-143354>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(log(-_a0_**S1*relu(S2)/relu(relu(S1))))\n",
+      "<lambdifygenerated-143382>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(_a0_/S1)**_a0_\n",
+      "<lambdifygenerated-143383>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(_a0_/S1)**_a0_\n",
+      "<lambdifygenerated-143390>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-143394>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu((_a0_/S1)**_a0_)\n",
+      "<lambdifygenerated-143395>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu((_a0_/S1)**_a0_)\n",
+      "<lambdifygenerated-143396>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(S1/_a0_)**_a0_\n",
+      "<lambdifygenerated-143397>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(S1/_a0_)**_a0_\n",
+      "<lambdifygenerated-143400>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2**2*relu(S2)/relu(relu(S1))))\n",
+      "<lambdifygenerated-143401>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2**2*relu(S2)/relu(relu(S1))))\n",
+      "<lambdifygenerated-143402>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2**2*relu(S2)/relu(relu(S1))))\n",
+      "<lambdifygenerated-143422>:2: RuntimeWarning: overflow encountered in cosh\n",
+      "  return (sqrt(S2) + _a0_)/(sqrt(S1)*relu(cosh(fac(fac(S2)))))\n",
+      "<lambdifygenerated-143423>:2: RuntimeWarning: overflow encountered in cosh\n",
+      "  return (sqrt(S2) + _a0_)/(sqrt(S1)*relu(cosh(fac(fac(S2)))))\n",
+      "<lambdifygenerated-143424>:2: RuntimeWarning: overflow encountered in cosh\n",
+      "  return (sqrt(S2) + _a0_)/(sqrt(S1)*relu(cosh(fac(fac(S2)))))\n",
+      "<lambdifygenerated-143437>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return cos(sinh(S1))**_a0_\n",
+      " 61%|██████▏   | 919/1500 [01:04<00:46, 12.38it/s]<lambdifygenerated-143465>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(relu(exp(relu(S1 + exp(S2**2/_a0_)))))\n",
+      "<lambdifygenerated-143468>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu((_a0_**3)**_a0_))\n",
+      "<lambdifygenerated-143469>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu((_a0_**3)**_a0_))\n",
+      "<lambdifygenerated-143470>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu((_a0_**3)**_a0_))\n",
+      "<lambdifygenerated-143471>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(_a0_/S2)**_a0_)\n",
+      "<lambdifygenerated-143472>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(_a0_/S2)**_a0_)\n",
+      "<lambdifygenerated-143473>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(_a0_/S2)**_a0_)\n",
+      "<lambdifygenerated-143480>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(cos(S2))\n",
+      "<lambdifygenerated-143481>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(cos(S2))\n",
+      "<lambdifygenerated-143482>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(relu(relu(S2))/(S1 + _a0_))\n",
+      "<lambdifygenerated-143501>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(relu((sinh(S1)**3)**cosh(S1)))\n",
+      "<lambdifygenerated-143502>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(relu((sinh(S1)**3)**cosh(S1)))\n",
+      "<lambdifygenerated-143503>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(relu((sinh(S1)**3)**cosh(S1)))\n",
+      "<lambdifygenerated-143504>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(_a0_)**_a0_\n",
+      "<lambdifygenerated-143505>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(_a0_)**_a0_\n",
+      " 61%|██████▏   | 921/1500 [01:04<00:45, 12.86it/s]<lambdifygenerated-143538>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu((_a0_**3)**_a0_))\n",
+      "<lambdifygenerated-143539>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu((_a0_**3)**_a0_))\n",
+      "<lambdifygenerated-143541>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(_a0_**_a0_)**_a0_)\n",
+      "<lambdifygenerated-143542>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(_a0_**_a0_)**_a0_)\n",
+      "<lambdifygenerated-143548>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-_a0_*log(S2)/relu(relu(S1))))\n",
+      "<lambdifygenerated-143549>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-_a0_*log(S2)/relu(relu(S1))))\n",
+      "<lambdifygenerated-143563>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(relu(relu(sig(_a0_))**S1*log(_a0_)))\n",
+      "<lambdifygenerated-143564>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(relu(relu(sig(_a0_))**S1*log(_a0_)))\n",
+      "<lambdifygenerated-143565>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(relu(relu(sig(_a0_))**S1*log(_a0_)))\n",
+      " 62%|██████▏   | 923/1500 [01:04<00:43, 13.36it/s]<lambdifygenerated-143579>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-_a0_*relu(S2)/relu(_a0_)))\n",
+      "<lambdifygenerated-143580>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-_a0_*relu(S2)/relu(_a0_)))\n",
+      "<lambdifygenerated-143583>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(relu(S2 + _a0_)/relu(S1))\n",
+      "<lambdifygenerated-143593>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(S2*_a0_/S1)*exp(-S1)\n",
+      "<lambdifygenerated-143630>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return sqrt(sig(log(S2**2))/relu(S2*_a0_))\n",
+      "<lambdifygenerated-143635>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(relu(S2*relu(log(_a0_))**S1))\n",
+      "<lambdifygenerated-143636>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_**S2)**_a0_\n",
+      "<lambdifygenerated-143637>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_**S2)**_a0_\n",
+      "<lambdifygenerated-143645>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu((_a0_**3/S2**3)**_a0_))\n",
+      "<lambdifygenerated-143646>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu((_a0_**3/S2**3)**_a0_))\n",
+      "<lambdifygenerated-143647>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu((_a0_**3/S2**3)**_a0_))\n",
+      "<lambdifygenerated-143650>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu((_a0_/S2)**_a0_)\n",
+      "<lambdifygenerated-143651>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu((_a0_/S2)**_a0_)\n",
+      " 62%|██████▏   | 925/1500 [01:04<00:44, 13.04it/s]<lambdifygenerated-143657>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-relu(S2)*log(S2)/relu(relu(S1))))\n",
+      "<lambdifygenerated-143658>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-relu(S2)*log(S2)/relu(relu(S1))))\n",
+      "<lambdifygenerated-143659>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-relu(S2)*log(S2)/relu(relu(S1))))\n",
+      "<lambdifygenerated-143676>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S1 + _a0_)**_a0_\n",
+      "<lambdifygenerated-143677>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S1 + _a0_)**_a0_\n",
+      "<lambdifygenerated-143712>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return sinh(fac(_a0_))**_a0_\n",
+      "<lambdifygenerated-143713>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return sinh(fac(_a0_))**_a0_\n",
+      "<lambdifygenerated-143721>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu((_a0_/S2)**_a0_)\n",
+      "<lambdifygenerated-143722>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu((_a0_/S2)**_a0_)\n",
+      " 62%|██████▏   | 927/1500 [01:04<00:42, 13.36it/s]<lambdifygenerated-143747>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(relu(exp(cos(S1 + exp(S2**2/S1**3)))))\n",
+      "<lambdifygenerated-143747>:2: RuntimeWarning: invalid value encountered in cos\n",
+      "  return relu(relu(exp(cos(S1 + exp(S2**2/S1**3)))))\n",
+      "<lambdifygenerated-143748>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(relu(exp(cos(S1 + exp(S2**2/S1**3)))))\n",
+      "<lambdifygenerated-143748>:2: RuntimeWarning: invalid value encountered in cos\n",
+      "  return relu(relu(exp(cos(S1 + exp(S2**2/S1**3)))))\n",
+      "<lambdifygenerated-143749>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(relu(exp(cos(S1 + exp(S2**2/S1**3)))))\n",
+      "<lambdifygenerated-143749>:2: RuntimeWarning: invalid value encountered in cos\n",
+      "  return relu(relu(exp(cos(S1 + exp(S2**2/S1**3)))))\n",
+      "<lambdifygenerated-143752>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return relu(relu((sinh(S1**S1)**3)**_a0_))\n",
+      "<lambdifygenerated-143752>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(relu((sinh(S1**S1)**3)**_a0_))\n",
+      "<lambdifygenerated-143753>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return relu(relu((sinh(S1**S1)**3)**_a0_))\n",
+      "<lambdifygenerated-143753>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(relu((sinh(S1**S1)**3)**_a0_))\n",
+      "<lambdifygenerated-143754>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return relu(relu((sinh(S1**S1)**3)**_a0_))\n",
+      "<lambdifygenerated-143754>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(relu((sinh(S1**S1)**3)**_a0_))\n",
+      "<lambdifygenerated-143762>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-_a0_*relu(S2)/relu(relu(S2*_a0_))))\n",
+      "<lambdifygenerated-143763>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-_a0_*relu(S2)/relu(relu(S2*_a0_))))\n",
+      "<lambdifygenerated-143764>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-_a0_*relu(S2)/relu(relu(S2*_a0_))))\n",
+      "<lambdifygenerated-143771>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(S2/_a0_)/sqrt(-S2))\n",
+      "<lambdifygenerated-143772>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(S2/_a0_)/sqrt(-S2))\n",
+      "<lambdifygenerated-143773>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(S2/_a0_)/sqrt(-S2))\n",
+      " 62%|██████▏   | 929/1500 [01:05<00:45, 12.63it/s]<lambdifygenerated-143797>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(cos(_a0_*relu(S2)/relu(relu(S1)))))\n",
+      "<lambdifygenerated-143798>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(cos(_a0_*relu(S2)/relu(relu(S1)))))\n",
+      "<lambdifygenerated-143809>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(S2)*sig(sig(S2**(cosh(S2)**2)))**(S1*_a0_)\n",
+      "<lambdifygenerated-143810>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(S2)*sig(sig(S2**(cosh(S2)**2)))**(S1*_a0_)\n",
+      "<lambdifygenerated-143811>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(S2)*sig(sig(S2**(cosh(S2)**2)))**(S1*_a0_)\n",
+      "<lambdifygenerated-143822>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return relu(log(-_a0_*relu(sin(S1))/relu(relu(S1))))\n",
+      "<lambdifygenerated-143823>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return relu(log(-_a0_*relu(sin(S1))/relu(relu(S1))))\n",
+      "<lambdifygenerated-143824>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return relu(log(-_a0_*relu(sin(S1))/relu(relu(S1))))\n",
+      "<lambdifygenerated-143835>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(tanh(log(S2**2))/relu(S1))\n",
+      "<lambdifygenerated-143836>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(tanh(log(S2**2))/relu(S1))\n",
+      "<lambdifygenerated-143853>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return _a0_**((1/2)*_a0_)\n",
+      "<lambdifygenerated-143854>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return _a0_**((1/2)*_a0_)\n",
+      " 62%|██████▏   | 931/1500 [01:05<00:43, 12.95it/s]<lambdifygenerated-143857>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(log(-(_a0_*relu(S2))**relu(relu(S1))))\n",
+      "<lambdifygenerated-143858>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(log(-(_a0_*relu(S2))**relu(relu(S1))))\n",
+      "<lambdifygenerated-143904>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return cos(sqrt(S2*_a0_)*exp(-S1))\n",
+      " 62%|██████▏   | 933/1500 [01:05<00:41, 13.63it/s]<lambdifygenerated-143925>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-_a0_*relu(S2)/relu(relu(_a0_))))\n",
+      "<lambdifygenerated-143979>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-143986>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return (sinh(S1)**2)**(S2**S1)\n",
+      "<lambdifygenerated-143987>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return (sinh(S1)**2)**(S2**S1)\n",
+      "<lambdifygenerated-143988>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return (sinh(S1)**2)**(S2**S1)\n",
+      "<lambdifygenerated-143991>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(relu((sinh(S1)**3)**sinh(S1)))\n",
+      "<lambdifygenerated-143992>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(relu((sinh(S1)**3)**sinh(S1)))\n",
+      "<lambdifygenerated-143993>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(relu((sinh(S1)**3)**sinh(S1)))\n",
+      " 62%|██████▏   | 935/1500 [01:05<01:01,  9.25it/s]<lambdifygenerated-143997>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return relu(log(fac(_a0_*relu(S2)/relu(relu(S1)))))\n",
+      "<lambdifygenerated-143998>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return relu(log(fac(_a0_*relu(S2)/relu(relu(S1)))))\n",
+      "<lambdifygenerated-144023>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(relu(exp(cos(S1 + exp(S1**(-_a0_)*S2**2)))))\n",
+      "<lambdifygenerated-144023>:2: RuntimeWarning: invalid value encountered in cos\n",
+      "  return relu(relu(exp(cos(S1 + exp(S1**(-_a0_)*S2**2)))))\n",
+      "<lambdifygenerated-144024>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(relu(exp(cos(S1 + exp(S1**(-_a0_)*S2**2)))))\n",
+      "<lambdifygenerated-144024>:2: RuntimeWarning: invalid value encountered in cos\n",
+      "  return relu(relu(exp(cos(S1 + exp(S1**(-_a0_)*S2**2)))))\n",
+      "<lambdifygenerated-144025>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(relu(exp(cos(S1 + exp(S1**(-_a0_)*S2**2)))))\n",
+      "<lambdifygenerated-144025>:2: RuntimeWarning: invalid value encountered in cos\n",
+      "  return relu(relu(exp(cos(S1 + exp(S1**(-_a0_)*S2**2)))))\n",
+      "<lambdifygenerated-144029>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu((_a0_**3)**_a0_))\n",
+      "<lambdifygenerated-144030>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu((_a0_**3)**_a0_))\n",
+      "<lambdifygenerated-144034>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2/relu(relu(S1))))\n",
+      "<lambdifygenerated-144035>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2/relu(relu(S1))))\n",
+      "<lambdifygenerated-144036>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2/relu(relu(S1))))\n",
+      "<lambdifygenerated-144052>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(S2*_a0_)/(S1 + _a0_)\n",
+      " 62%|██████▏   | 937/1500 [01:05<00:56,  9.94it/s]<lambdifygenerated-144083>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(S2/_a0_)/sqrt(-S2*_a0_))\n",
+      "<lambdifygenerated-144084>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(S2/_a0_)/sqrt(-S2*_a0_))\n",
+      "<lambdifygenerated-144085>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(S2/_a0_)/sqrt(-S2*_a0_))\n",
+      "<lambdifygenerated-144104>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return (sinh(S2**S2)**2)**_a0_\n",
+      "<lambdifygenerated-144104>:2: RuntimeWarning: overflow encountered in square\n",
+      "  return (sinh(S2**S2)**2)**_a0_\n",
+      "<lambdifygenerated-144105>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return (sinh(S2**S2)**2)**_a0_\n",
+      "<lambdifygenerated-144105>:2: RuntimeWarning: overflow encountered in square\n",
+      "  return (sinh(S2**S2)**2)**_a0_\n",
+      "<lambdifygenerated-144106>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return (sinh(S2**S2)**2)**_a0_\n",
+      "<lambdifygenerated-144106>:2: RuntimeWarning: overflow encountered in square\n",
+      "  return (sinh(S2**S2)**2)**_a0_\n",
+      "<lambdifygenerated-144111>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(S2)**_a0_\n",
+      "<lambdifygenerated-144112>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(S2)**_a0_\n",
+      "<lambdifygenerated-144117>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(sin(relu(S2))/relu(S1*_a0_))\n",
+      "<lambdifygenerated-144118>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(sin(relu(S2))/relu(S1*_a0_))\n",
+      "<lambdifygenerated-144123>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(S2/_a0_)/sqrt(S2*log(S1)))\n",
+      "<lambdifygenerated-144124>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(S2/_a0_)/sqrt(S2*log(S1)))\n",
+      "<lambdifygenerated-144125>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(S2/_a0_)/sqrt(S2*log(S1)))\n",
+      "<lambdifygenerated-144147>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(relu(exp(abs(S1 + exp(S2**2/_a0_)))))\n",
+      " 63%|██████▎   | 939/1500 [01:06<00:54, 10.36it/s]<lambdifygenerated-144151>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(cos(S1))\n",
+      "<lambdifygenerated-144152>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(cos(S1))\n",
+      "<lambdifygenerated-144168>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sqrt(sin(log(S2**2))/relu(S1)))\n",
+      "<lambdifygenerated-144169>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sqrt(sin(log(S2**2))/relu(S1)))\n",
+      "<lambdifygenerated-144174>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return (2*_a0_)**_a0_\n",
+      "<lambdifygenerated-144175>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return (2*_a0_)**_a0_\n",
+      "<lambdifygenerated-144183>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(_a0_**_a0_)\n",
+      "<lambdifygenerated-144184>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(_a0_**_a0_)\n",
+      "<lambdifygenerated-144185>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(((S1 + _a0_)**3)**_a0_))\n",
+      "<lambdifygenerated-144186>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(((S1 + _a0_)**3)**_a0_))\n",
+      "<lambdifygenerated-144187>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(((S1 + _a0_)**3)**_a0_))\n",
+      "<lambdifygenerated-144194>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-_a0_*relu(S2)*relu(relu(S1))))\n",
+      " 63%|██████▎   | 941/1500 [01:06<00:50, 11.08it/s]<lambdifygenerated-144229>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-relu(S2)*sig(_a0_)/relu(relu(S1))))\n",
+      "<lambdifygenerated-144230>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-relu(S2)*sig(_a0_)/relu(relu(S1))))\n",
+      "<lambdifygenerated-144231>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-relu(S2)*sig(_a0_)/relu(relu(S1))))\n",
+      "<lambdifygenerated-144232>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log(relu(relu(S2))/relu(S1 + _a0_))\n",
+      "<lambdifygenerated-144262>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(tan(S1)**_a0_)\n",
+      "<lambdifygenerated-144265>:2: RuntimeWarning: divide by zero encountered in scalar divide\n",
+      "  return exp(-_a0_/relu(sin(_a0_)))/S1\n",
+      "<lambdifygenerated-144284>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (sqrt(S2) + _a0_)/(sqrt(-S2)*relu(cosh(fac(S1))))\n",
+      "<lambdifygenerated-144285>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (sqrt(S2) + _a0_)/(sqrt(-S2)*relu(cosh(fac(S1))))\n",
+      "<lambdifygenerated-144286>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (sqrt(S2) + _a0_)/(sqrt(-S2)*relu(cosh(fac(S1))))\n",
+      "<lambdifygenerated-144292>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(_a0_/S2)**_a0_\n",
+      "<lambdifygenerated-144293>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(_a0_/S2)**_a0_\n",
+      " 63%|██████▎   | 943/1500 [01:06<00:49, 11.16it/s]<lambdifygenerated-144323>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sqrt(sig(log(S2**2))/(S2 + _a0_)))\n",
+      "<lambdifygenerated-144329>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-144330>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-144341>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(tan(S1))\n",
+      "<lambdifygenerated-144342>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(tan(S1))\n",
+      "<lambdifygenerated-144366>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(relu(log(cos(S1 + exp(S2**2/_a0_)))))\n",
+      "<lambdifygenerated-144367>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(relu(log(cos(S1 + exp(S2**2/_a0_)))))\n",
+      "<lambdifygenerated-144368>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(tan(S1)**_a0_)\n",
+      "<lambdifygenerated-144369>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return (log(_a0_)**2)**_a0_\n",
+      "<lambdifygenerated-144370>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return (log(_a0_)**2)**_a0_\n",
+      "<lambdifygenerated-144371>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return (log(_a0_)**2)**_a0_\n",
+      " 63%|██████▎   | 945/1500 [01:06<00:47, 11.72it/s]<lambdifygenerated-144378>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-relu(S2)*tan(S2)/relu(relu(S1))))\n",
+      "<lambdifygenerated-144379>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-relu(S2)*tan(S2)/relu(relu(S1))))\n",
+      "<lambdifygenerated-144380>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-relu(S2)*tan(S2)/relu(relu(S1))))\n",
+      "<lambdifygenerated-144381>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(relu(_a0_)/relu(S1 + _a0_))\n",
+      "<lambdifygenerated-144382>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(relu(_a0_)/relu(S1 + _a0_))\n",
+      "<lambdifygenerated-144383>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(relu(_a0_)/relu(S1 + _a0_))\n",
+      "<lambdifygenerated-144416>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S1*relu(S2)/relu(relu(S1))))\n",
+      " 63%|██████▎   | 947/1500 [01:06<00:46, 12.00it/s]<lambdifygenerated-144458>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-_a0_*relu(S2)/relu(S2/_a0_)))\n",
+      "<lambdifygenerated-144459>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-_a0_*relu(S2)/relu(S2/_a0_)))\n",
+      "<lambdifygenerated-144460>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-_a0_*relu(S2)/relu(S2/_a0_)))\n",
+      "<lambdifygenerated-144481>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (-sinh(S2))**_a0_\n",
+      "<lambdifygenerated-144482>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (-sinh(S2))**_a0_\n",
+      "<lambdifygenerated-144483>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (-sinh(S2))**_a0_\n",
+      "<lambdifygenerated-144484>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(relu(exp(cos(S1 + exp(S1**_a0_/_a0_)))))\n",
+      "<lambdifygenerated-144484>:2: RuntimeWarning: invalid value encountered in cos\n",
+      "  return relu(relu(exp(cos(S1 + exp(S1**_a0_/_a0_)))))\n",
+      "<lambdifygenerated-144498>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/relu(S1 + _a0_))\n",
+      "<lambdifygenerated-144499>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-relu(S2)/relu(S1 + _a0_))\n",
+      "<lambdifygenerated-144510>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (_a0_ + sqrt(tan(S1)))/(sqrt(S1)*relu(cosh(fac(S1))))\n",
+      "<lambdifygenerated-144511>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (_a0_ + sqrt(tan(S1)))/(sqrt(S1)*relu(cosh(fac(S1))))\n",
+      "<lambdifygenerated-144512>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (_a0_ + sqrt(tan(S1)))/(sqrt(S1)*relu(cosh(fac(S1))))\n",
+      "<lambdifygenerated-144518>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-144519>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      " 63%|██████▎   | 949/1500 [01:06<00:45, 12.20it/s]<lambdifygenerated-144551>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu(S2*relu(_a0_**_a0_)**S1))\n",
+      "<lambdifygenerated-144552>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu(S2*relu(_a0_**_a0_)**S1))\n",
+      "<lambdifygenerated-144593>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(log(S1))**_a0_\n",
+      " 63%|██████▎   | 951/1500 [01:06<00:43, 12.65it/s]<lambdifygenerated-144620>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (sqrt(S2) + _a0_)/(sqrt(_a0_)*relu(cosh(fac(S1))))\n",
+      "<lambdifygenerated-144621>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(S2*_a0_)/fac(S1)\n",
+      "<lambdifygenerated-144635>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-relu(S2)/(_a0_*relu(relu(sin(_a0_))))))\n",
+      "<lambdifygenerated-144636>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-relu(S2)/(_a0_*relu(relu(sin(_a0_))))))\n",
+      "<lambdifygenerated-144637>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-relu(S2)/(_a0_*relu(relu(sin(_a0_))))))\n",
+      "<lambdifygenerated-144638>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log(relu(relu(S1))/relu(S1 + _a0_))\n",
+      "<lambdifygenerated-144650>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return (sqrt(S2) + _a0_)/(sqrt(S1)*relu(log(fac(S1))))\n",
+      "<lambdifygenerated-144651>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return (sqrt(S2) + _a0_)/(sqrt(S1)*relu(log(fac(S1))))\n",
+      "<lambdifygenerated-144660>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2 + _a0_)**_a0_\n",
+      "<lambdifygenerated-144661>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2 + _a0_)**_a0_\n",
+      " 64%|██████▎   | 953/1500 [01:07<00:41, 13.30it/s]<lambdifygenerated-144682>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sqrt(sig(log(sin(S1)))/relu(S1))\n",
+      "<lambdifygenerated-144683>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sqrt(sig(log(sin(S1)))/relu(S1))\n",
+      "<lambdifygenerated-144684>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sqrt(sig(log(sin(S1)))/relu(S1))\n",
+      "<lambdifygenerated-144687>:2: RuntimeWarning: overflow encountered in cosh\n",
+      "  return (sqrt(S2) + _a0_)/(sqrt(S1)*relu(cosh(fac(S1 + S2))))\n",
+      "<lambdifygenerated-144688>:2: RuntimeWarning: overflow encountered in cosh\n",
+      "  return (sqrt(S2) + _a0_)/(sqrt(S1)*relu(cosh(fac(S1 + S2))))\n",
+      "<lambdifygenerated-144689>:2: RuntimeWarning: overflow encountered in cosh\n",
+      "  return (sqrt(S2) + _a0_)/(sqrt(S1)*relu(cosh(fac(S1 + S2))))\n",
+      "<lambdifygenerated-144711>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-(_a0_ + relu(S2))/relu(relu(S1))))\n",
+      "<lambdifygenerated-144712>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-(_a0_ + relu(S2))/relu(relu(S1))))\n",
+      "<lambdifygenerated-144729>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-144730>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-144733>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (-S1**2)**_a0_\n",
+      "<lambdifygenerated-144734>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (-S1**2)**_a0_\n",
+      "<lambdifygenerated-144735>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (-S1**2)**_a0_\n",
+      "<lambdifygenerated-144738>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(_a0_**3)**_a0_)\n",
+      "<lambdifygenerated-144739>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(_a0_**3)**_a0_)\n",
+      " 64%|██████▎   | 955/1500 [01:07<00:40, 13.31it/s]<lambdifygenerated-144763>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(sqrt(log(S2**2))/relu(S1))\n",
+      "<lambdifygenerated-144764>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(sqrt(log(S2**2))/relu(S1))\n",
+      "<lambdifygenerated-144777>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(relu((sinh(S1)**2)**(S2**S2)))\n",
+      "<lambdifygenerated-144778>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(relu((sinh(S1)**2)**(S2**S2)))\n",
+      "<lambdifygenerated-144779>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(relu((sinh(S1)**2)**(S2**S2)))\n",
+      "<lambdifygenerated-144786>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2/(_a0_*relu(_a0_))))\n",
+      "<lambdifygenerated-144787>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2/(_a0_*relu(_a0_))))\n",
+      "<lambdifygenerated-144788>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2/(_a0_*relu(_a0_))))\n",
+      "<lambdifygenerated-144818>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(cos(S1)**_a0_)\n",
+      " 64%|██████▍   | 957/1500 [01:07<00:41, 13.12it/s]<lambdifygenerated-144826>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return relu(log(relu(relu(S2*_a0_))/relu(S1 + _a0_)))\n",
+      "<lambdifygenerated-144827>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return relu(log(relu(relu(S2*_a0_))/relu(S1 + _a0_)))\n",
+      "<lambdifygenerated-144828>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return relu(log(relu(relu(S2*_a0_))/relu(S1 + _a0_)))\n",
+      "<lambdifygenerated-144834>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(S2/_a0_)/sqrt(-_a0_))\n",
+      "<lambdifygenerated-144835>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(S2/_a0_)/sqrt(-_a0_))\n",
+      "<lambdifygenerated-144837>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(sin(log(S2**2))/relu(S1))\n",
+      "<lambdifygenerated-144838>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(sin(log(S2**2))/relu(S1))\n",
+      "<lambdifygenerated-144848>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return tan(S1**2)**_a0_\n",
+      "<lambdifygenerated-144857>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(relu((sinh(S1)**2)**log(_a0_)))\n",
+      "<lambdifygenerated-144858>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(relu((sinh(S1)**2)**log(_a0_)))\n",
+      "<lambdifygenerated-144859>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(relu((sinh(S1)**2)**log(_a0_)))\n",
+      "<lambdifygenerated-144864>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2/(_a0_*relu(S2 + _a0_))))\n",
+      "<lambdifygenerated-144865>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2/(_a0_*relu(S2 + _a0_))))\n",
+      "<lambdifygenerated-144866>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2/(_a0_*relu(S2 + _a0_))))\n",
+      "<lambdifygenerated-144867>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(relu(relu(S2))/relu(2*_a0_)))\n",
+      "<lambdifygenerated-144868>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(relu(relu(S2))/relu(2*_a0_)))\n",
+      " 64%|██████▍   | 959/1500 [01:07<00:41, 12.88it/s]<lambdifygenerated-144893>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-relu(S2)/relu(relu(S1))))\n",
+      "<lambdifygenerated-144894>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-relu(S2)/relu(relu(S1))))\n",
+      "<lambdifygenerated-144895>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-relu(S2)/relu(relu(S1))))\n",
+      "<lambdifygenerated-144932>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S1/relu(relu(S1))))\n",
+      "<lambdifygenerated-144933>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S1/relu(relu(S1))))\n",
+      "<lambdifygenerated-144934>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S1/relu(relu(S1))))\n",
+      "<lambdifygenerated-144968>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(_a0_**_a0_)\n",
+      "<lambdifygenerated-144969>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(_a0_**_a0_)\n",
+      " 64%|██████▍   | 961/1500 [01:07<00:42, 12.58it/s]<lambdifygenerated-144974>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(relu(relu(S2))/relu(S1 + log(S1))))\n",
+      "<lambdifygenerated-144975>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(relu(relu(S2))/relu(S1 + log(S1))))\n",
+      "<lambdifygenerated-144976>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(relu(relu(S2))/relu(S1 + log(S1))))\n",
+      "<lambdifygenerated-144977>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-abs(_a0_)/relu(relu(S1))))\n",
+      "<lambdifygenerated-144978>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-abs(_a0_)/relu(relu(S1))))\n",
+      "<lambdifygenerated-144979>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-abs(_a0_)/relu(relu(S1))))\n",
+      "<lambdifygenerated-144997>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return (S1**2)**(S2**S1)\n",
+      "<lambdifygenerated-144998>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return (S1**2)**(S2**S1)\n",
+      "<lambdifygenerated-144999>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return (S1**2)**(S2**S1)\n",
+      "<lambdifygenerated-145000>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return cos(S1)**_a0_\n",
+      "<lambdifygenerated-145009>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log(S2/log(_a0_))\n",
+      "<lambdifygenerated-145010>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log(S2/log(_a0_))\n",
+      "<lambdifygenerated-145017>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2/(_a0_*relu(relu(S2)))))\n",
+      "<lambdifygenerated-145019>:2: RuntimeWarning: invalid value encountered in divide\n",
+      "  return (relu(relu(S2/_a0_))/relu(S1 + _a0_))**sig(relu(S1))\n",
+      "<lambdifygenerated-145031>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(S1**2)**_a0_\n",
+      "<lambdifygenerated-145032>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(S1**2)**_a0_\n",
+      "<lambdifygenerated-145042>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu((S1 + _a0_)**_a0_)\n",
+      "<lambdifygenerated-145043>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu((S1 + _a0_)**_a0_)\n",
+      " 64%|██████▍   | 963/1500 [01:07<00:43, 12.29it/s]<lambdifygenerated-145053>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-(S2 + _a0_)/relu(relu(S1))))\n",
+      "<lambdifygenerated-145054>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-(S2 + _a0_)/relu(relu(S1))))\n",
+      "<lambdifygenerated-145063>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-sig(log(S2**2))/S1)\n",
+      "<lambdifygenerated-145064>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-sig(log(S2**2))/S1)\n",
+      "<lambdifygenerated-145080>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(_a0_**_a0_)\n",
+      "<lambdifygenerated-145081>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(_a0_**_a0_)\n",
+      "<lambdifygenerated-145113>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(exp(cos(S1 + exp(_a0_**(-S2)*relu(S2)**2)))))\n",
+      "<lambdifygenerated-145114>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(exp(cos(S1 + exp(_a0_**(-S2)*relu(S2)**2)))))\n",
+      "<lambdifygenerated-145115>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(exp(cos(S1 + exp(_a0_**(-S2)*relu(S2)**2)))))\n",
+      " 64%|██████▍   | 965/1500 [01:08<00:43, 12.39it/s]<lambdifygenerated-145127>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(log(-(S2/_a0_)**relu(relu(S1))))\n",
+      "<lambdifygenerated-145128>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(log(-(S2/_a0_)**relu(relu(S1))))\n",
+      "<lambdifygenerated-145145>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_**_a0_)**_a0_\n",
+      "<lambdifygenerated-145146>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_**_a0_)**_a0_\n",
+      "<lambdifygenerated-145150>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(relu(exp(tan(S1 + exp(relu(S2)**2/_a0_)))))\n",
+      "<lambdifygenerated-145161>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S1/(_a0_*relu(relu(S1)))))\n",
+      "<lambdifygenerated-145170>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return ((sqrt(S2) + _a0_)/(sqrt(S1)*relu(cosh(fac(S1)))))**S2\n",
+      "<lambdifygenerated-145183>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(_a0_**_a0_)\n",
+      "<lambdifygenerated-145184>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(_a0_**_a0_)\n",
+      " 64%|██████▍   | 967/1500 [01:08<00:41, 12.84it/s]<lambdifygenerated-145193>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2/(relu(_a0_)*relu(relu(S1)))))\n",
+      "<lambdifygenerated-145193>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2/(relu(_a0_)*relu(relu(S1)))))\n",
+      "<lambdifygenerated-145194>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2/(relu(_a0_)*relu(relu(S1)))))\n",
+      "<lambdifygenerated-145194>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2/(relu(_a0_)*relu(relu(S1)))))\n",
+      "<lambdifygenerated-145195>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2/(relu(_a0_)*relu(relu(S1)))))\n",
+      "<lambdifygenerated-145195>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2/(relu(_a0_)*relu(relu(S1)))))\n",
+      "<lambdifygenerated-145253>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return sinh(S2**S1)**_a0_\n",
+      "<lambdifygenerated-145254>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return sinh(S2**S1)**_a0_\n",
+      "<lambdifygenerated-145266>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return exp(-_a0_/relu(log(S1)))/S1\n",
+      "<lambdifygenerated-145267>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return exp(-_a0_/relu(log(S1)))/S1\n",
+      "<lambdifygenerated-145268>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return exp(-_a0_/relu(log(S1)))/S1\n",
+      " 65%|██████▍   | 969/1500 [01:08<00:43, 12.33it/s]<lambdifygenerated-145271>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(S2/sin(S1))\n",
+      "<lambdifygenerated-145272>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(S2/sin(S1))\n",
+      "<lambdifygenerated-145276>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(log(S2/(_a0_*relu(relu(S1))))))\n",
+      "<lambdifygenerated-145277>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(log(S2/(_a0_*relu(relu(S1))))))\n",
+      "<lambdifygenerated-145283>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(S2/_a0_)/sqrt(S2*tan(S1)))\n",
+      "<lambdifygenerated-145284>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(S2/_a0_)/sqrt(S2*tan(S1)))\n",
+      "<lambdifygenerated-145290>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (sqrt(S2) + _a0_)/(relu(cosh(fac(S1)))*sqrt(tanh(_a0_)))\n",
+      "<lambdifygenerated-145291>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (sqrt(S2) + _a0_)/(relu(cosh(fac(S1)))*sqrt(tanh(_a0_)))\n",
+      "<lambdifygenerated-145292>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (sqrt(S2) + _a0_)/(relu(cosh(fac(S1)))*sqrt(tanh(_a0_)))\n",
+      "<lambdifygenerated-145294>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu(S2*relu(sig(_a0_**_a0_))**S1))\n",
+      "<lambdifygenerated-145295>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu(S2*relu(sig(_a0_**_a0_))**S1))\n",
+      "<lambdifygenerated-145296>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu(S2*relu(sig(_a0_**_a0_))**S1))\n",
+      "<lambdifygenerated-145337>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return sinh(S2**2/_a0_**2)**_a0_\n",
+      "<lambdifygenerated-145338>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return sinh(S2**2/_a0_**2)**_a0_\n",
+      "<lambdifygenerated-145339>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return sinh(S2**2/_a0_**2)**_a0_\n",
+      " 65%|██████▍   | 971/1500 [01:08<00:44, 11.83it/s]<lambdifygenerated-145363>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(relu(S2)/relu(log(_a0_))))\n",
+      "<lambdifygenerated-145364>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(relu(S2)/relu(log(_a0_))))\n",
+      "<lambdifygenerated-145365>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(relu(S2)/relu(log(_a0_))))\n",
+      "<lambdifygenerated-145366>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2/(_a0_*relu(S2))))\n",
+      "<lambdifygenerated-145386>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*log(sig(_a0_))**S1))\n",
+      "<lambdifygenerated-145387>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*log(sig(_a0_))**S1))\n",
+      "<lambdifygenerated-145394>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-145396>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(tanh(_a0_))**_a0_)\n",
+      "<lambdifygenerated-145397>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(tanh(_a0_))**_a0_)\n",
+      "<lambdifygenerated-145428>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(2*_a0_)**_a0_)\n",
+      "<lambdifygenerated-145429>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(2*_a0_)**_a0_)\n",
+      " 65%|██████▍   | 973/1500 [01:08<00:42, 12.34it/s]<lambdifygenerated-145445>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_ + _a0_**S1)/(sqrt(S1)*relu(cosh(fac(S1))))\n",
+      "<lambdifygenerated-145446>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_ + _a0_**S1)/(sqrt(S1)*relu(cosh(fac(S1))))\n",
+      "<lambdifygenerated-145447>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_ + _a0_**S1)/(sqrt(S1)*relu(cosh(fac(S1))))\n",
+      "<lambdifygenerated-145448>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-_a0_)*exp(-S1)\n",
+      "<lambdifygenerated-145449>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-_a0_)*exp(-S1)\n",
+      "<lambdifygenerated-145454>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(S1)**_a0_\n",
+      "<lambdifygenerated-145455>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(S1)**_a0_\n",
+      "<lambdifygenerated-145477>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(S2/_a0_)/sqrt(S1*tan(S2)))\n",
+      "<lambdifygenerated-145478>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(S2/_a0_)/sqrt(S1*tan(S2)))\n",
+      "<lambdifygenerated-145479>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(S2/_a0_)/sqrt(S1*tan(S2)))\n",
+      " 65%|██████▌   | 975/1500 [01:08<00:39, 13.17it/s]<lambdifygenerated-145522>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return sinh(sinh(S1)**2)**_a0_\n",
+      "<lambdifygenerated-145523>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return sinh(sinh(S1)**2)**_a0_\n",
+      "<lambdifygenerated-145524>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return sinh(sinh(S1)**2)**_a0_\n",
+      "<lambdifygenerated-145539>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(log(-(S2/_a0_)**relu(relu(S1))))\n",
+      "<lambdifygenerated-145564>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_**S1)**_a0_\n",
+      "<lambdifygenerated-145565>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_**S1)**_a0_\n",
+      "<lambdifygenerated-145568>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(S2*_a0_)**_a0_)\n",
+      "<lambdifygenerated-145569>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(S2*_a0_)**_a0_)\n",
+      " 65%|██████▌   | 977/1500 [01:08<00:40, 12.83it/s]<lambdifygenerated-145575>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-1/relu(relu(S1))))\n",
+      "<lambdifygenerated-145576>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-1/relu(relu(S1))))\n",
+      "<lambdifygenerated-145601>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(_a0_**S1)**_a0_\n",
+      "<lambdifygenerated-145602>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(_a0_**S1)**_a0_\n",
+      "<lambdifygenerated-145639>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return S1**(S2**S2)\n",
+      "<lambdifygenerated-145640>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return S1**(S2**S2)\n",
+      " 65%|██████▌   | 979/1500 [01:09<00:44, 11.65it/s]<lambdifygenerated-145651>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2/(S1*relu(relu(S1)))))\n",
+      "<lambdifygenerated-145652>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2/(S1*relu(relu(S1)))))\n",
+      "<lambdifygenerated-145668>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sqrt(sig(log(S2*(S2 + _a0_)))/relu(S1))\n",
+      "<lambdifygenerated-145679>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(relu(exp(cos(S1 + exp(_a0_*relu(S2**S2)**2)))))\n",
+      "<lambdifygenerated-145679>:2: RuntimeWarning: invalid value encountered in cos\n",
+      "  return relu(relu(exp(cos(S1 + exp(_a0_*relu(S2**S2)**2)))))\n",
+      "<lambdifygenerated-145682>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu((_a0_**(2*S2))**_a0_))\n",
+      "<lambdifygenerated-145683>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu((_a0_**(2*S2))**_a0_))\n",
+      "<lambdifygenerated-145684>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu((_a0_**(2*S2))**_a0_))\n",
+      "<lambdifygenerated-145694>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(relu(log(_a0_))/relu(S1))\n",
+      "<lambdifygenerated-145695>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(relu(log(_a0_))/relu(S1))\n",
+      "<lambdifygenerated-145696>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(relu(log(_a0_))/relu(S1))\n",
+      "<lambdifygenerated-145699>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return (sqrt(S2) + _a0_)/(sqrt(S1)*sinh(cosh(fac(S1))))\n",
+      "<lambdifygenerated-145700>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return (sqrt(S2) + _a0_)/(sqrt(S1)*sinh(cosh(fac(S1))))\n",
+      "<lambdifygenerated-145715>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(S1**2)**_a0_\n",
+      " 66%|██████▌   | 983/1500 [01:09<00:41, 12.41it/s]<lambdifygenerated-145788>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2/(relu(relu(S1))*tan(S1))))\n",
+      "<lambdifygenerated-145789>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2/(relu(relu(S1))*tan(S1))))\n",
+      "<lambdifygenerated-145790>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2/(relu(relu(S1))*tan(S1))))\n",
+      "<lambdifygenerated-145814>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2/_a0_)**_a0_\n",
+      "<lambdifygenerated-145815>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2/_a0_)**_a0_\n",
+      "<lambdifygenerated-145816>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return sinh(S1**S1)**_a0_\n",
+      "<lambdifygenerated-145817>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return sinh(S1**S1)**_a0_\n",
+      "<lambdifygenerated-145858>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-sig(_a0_)/relu(S1))/S1\n",
+      "<lambdifygenerated-145859>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-sig(_a0_)/relu(S1))/S1\n",
+      " 66%|██████▌   | 985/1500 [01:09<00:40, 12.60it/s]<lambdifygenerated-145860>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(log(-(S2/_a0_)**relu(relu(S1))))\n",
+      "<lambdifygenerated-145884>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-145890>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(_a0_**3)**_a0_)\n",
+      "<lambdifygenerated-145891>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(_a0_**3)**_a0_)\n",
+      "<lambdifygenerated-145896>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2/(_a0_*relu(_a0_))))\n",
+      "<lambdifygenerated-145897>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2/(_a0_*relu(_a0_))))\n",
+      "<lambdifygenerated-145898>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(relu(log(S2))/relu(S1))\n",
+      "<lambdifygenerated-145899>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(relu(log(S2))/relu(S1))\n",
+      "<lambdifygenerated-145900>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(relu(log(S2))/relu(S1))\n",
+      "<lambdifygenerated-145928>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(S1)**(_a0_**S1))\n",
+      "<lambdifygenerated-145929>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(S1)**(_a0_**S1))\n",
+      "<lambdifygenerated-145930>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(S1)**(_a0_**S1))\n",
+      " 66%|██████▌   | 987/1500 [01:09<00:46, 11.11it/s]<lambdifygenerated-145955>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*relu(_a0_**S2)**S1))\n",
+      "<lambdifygenerated-145956>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*relu(_a0_**S2)**S1))\n",
+      "<lambdifygenerated-145957>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*relu(_a0_**S2)**S1))\n",
+      "<lambdifygenerated-145981>:2: RuntimeWarning: overflow encountered in cosh\n",
+      "  return (sqrt(S2) + _a0_)/(sqrt(S1)*relu(cosh(S1**S2)))\n",
+      "<lambdifygenerated-145982>:2: RuntimeWarning: overflow encountered in cosh\n",
+      "  return (sqrt(S2) + _a0_)/(sqrt(S1)*relu(cosh(S1**S2)))\n",
+      "<lambdifygenerated-145983>:2: RuntimeWarning: overflow encountered in cosh\n",
+      "  return (sqrt(S2) + _a0_)/(sqrt(S1)*relu(cosh(S1**S2)))\n",
+      "<lambdifygenerated-145986>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return sqrt(sig(log(S2*relu(S2)))/relu(cos(S1)))\n",
+      "<lambdifygenerated-145987>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return sqrt(sig(log(S2*relu(S2)))/relu(cos(S1)))\n",
+      "<lambdifygenerated-145988>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return sqrt(sig(log(S2*relu(S2)))/relu(cos(S1)))\n",
+      "<lambdifygenerated-145997>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(sin(S2))**_a0_\n",
+      "<lambdifygenerated-145998>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(sin(S2))**_a0_\n",
+      "<lambdifygenerated-146008>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-sig(_a0_)/relu(S1))/S1\n",
+      " 66%|██████▌   | 989/1500 [01:10<00:44, 11.41it/s]<lambdifygenerated-146010>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S1/relu(relu(S1))))\n",
+      "<lambdifygenerated-146011>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S1/relu(relu(S1))))\n",
+      "<lambdifygenerated-146045>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-abs(S1)/relu(relu(S1))))\n",
+      "<lambdifygenerated-146046>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-abs(S1)/relu(relu(S1))))\n",
+      "<lambdifygenerated-146047>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-abs(S1)/relu(relu(S1))))\n",
+      " 66%|██████▌   | 991/1500 [01:10<00:43, 11.69it/s]<lambdifygenerated-146081>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2/(_a0_*relu(S2*_a0_))))\n",
+      "<lambdifygenerated-146082>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2/(_a0_*relu(S2*_a0_))))\n",
+      "<lambdifygenerated-146083>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2/(_a0_*relu(S2*_a0_))))\n",
+      "<lambdifygenerated-146106>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2*_a0_)**_a0_\n",
+      "<lambdifygenerated-146107>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2*_a0_)**_a0_\n",
+      "<lambdifygenerated-146143>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sin(S1)**_a0_\n",
+      "<lambdifygenerated-146150>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return _a0_**(-_a0_)*exp(-sig(_a0_)/relu(S1))\n",
+      "<lambdifygenerated-146151>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return _a0_**(-_a0_)*exp(-sig(_a0_)/relu(S1))\n",
+      "<lambdifygenerated-146152>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return _a0_**(-_a0_)*exp(-sig(_a0_)/relu(S1))\n",
+      " 66%|██████▌   | 993/1500 [01:10<00:42, 12.06it/s]<lambdifygenerated-146163>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return (relu(relu(S2/_a0_))/relu(log(S2)))**sig(relu(S1))\n",
+      "<lambdifygenerated-146164>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return (relu(relu(S2/_a0_))/relu(log(S2)))**sig(relu(S1))\n",
+      "<lambdifygenerated-146165>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return (relu(relu(S2/_a0_))/relu(log(S2)))**sig(relu(S1))\n",
+      " 66%|██████▋   | 995/1500 [01:10<00:40, 12.54it/s]<lambdifygenerated-146246>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_**S1)**_a0_\n",
+      "<lambdifygenerated-146247>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_**S1)**_a0_\n",
+      "<lambdifygenerated-146270>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-log(S2*relu(S2))/relu(S1))\n",
+      "<lambdifygenerated-146271>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-log(S2*relu(S2))/relu(S1))\n",
+      "<lambdifygenerated-146285>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(log(S1)**_a0_)\n",
+      " 67%|██████▋   | 999/1500 [01:10<00:42, 11.81it/s]<lambdifygenerated-146387>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-146401>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2/(relu(relu(S1))*cos(_a0_))))\n",
+      "<lambdifygenerated-146402>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2/(relu(relu(S1))*cos(_a0_))))\n",
+      "<lambdifygenerated-146403>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2/(relu(relu(S1))*cos(_a0_))))\n",
+      "<lambdifygenerated-146410>:2: RuntimeWarning: invalid value encountered in divide\n",
+      "  return (relu(relu(S2/_a0_))/relu(S2*_a0_))**sig(relu(S1))\n",
+      "<lambdifygenerated-146413>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return sqrt(S2)*_a0_/(sqrt(S1)*relu(cos(fac(S1))))\n",
+      "<lambdifygenerated-146414>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return sqrt(S2)*_a0_/(sqrt(S1)*relu(cos(fac(S1))))\n",
+      " 67%|██████▋   | 1001/1500 [01:11<00:42, 11.84it/s]<lambdifygenerated-146486>:2: RuntimeWarning: overflow encountered in cosh\n",
+      "  return sqrt(S2)*_a0_/(sqrt(S1)*relu(cosh(fac(sinh(S2)))))\n",
+      "<lambdifygenerated-146487>:2: RuntimeWarning: overflow encountered in cosh\n",
+      "  return sqrt(S2)*_a0_/(sqrt(S1)*relu(cosh(fac(sinh(S2)))))\n",
+      "<lambdifygenerated-146488>:2: RuntimeWarning: overflow encountered in cosh\n",
+      "  return sqrt(S2)*_a0_/(sqrt(S1)*relu(cosh(fac(sinh(S2)))))\n",
+      " 67%|██████▋   | 1003/1500 [01:11<00:41, 12.08it/s]<lambdifygenerated-146512>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(tan(S2)/relu(S1))\n",
+      "<lambdifygenerated-146513>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(tan(S2)/relu(S1))\n",
+      "<lambdifygenerated-146525>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sqrt(sig(log(relu(S2)*cos(S2)))/relu(S1))\n",
+      "<lambdifygenerated-146526>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sqrt(sig(log(relu(S2)*cos(S2)))/relu(S1))\n",
+      "<lambdifygenerated-146527>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sqrt(sig(log(relu(S2)*cos(S2)))/relu(S1))\n",
+      "<lambdifygenerated-146537>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-146546>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(log(S2)/S1)\n",
+      "<lambdifygenerated-146547>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(log(S2)/S1)\n",
+      "<lambdifygenerated-146575>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(log(S1))**_a0_\n",
+      "<lambdifygenerated-146576>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(log(S1))**_a0_\n",
+      " 67%|██████▋   | 1005/1500 [01:11<00:40, 12.25it/s]<lambdifygenerated-146588>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log(relu(S2)/relu(cos(S1)))\n",
+      "<lambdifygenerated-146589>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log(relu(S2)/relu(cos(S1)))\n",
+      "<lambdifygenerated-146590>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log(relu(S2)/relu(cos(S1)))\n",
+      "<lambdifygenerated-146610>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-146620>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sin(S1)**_a0_)\n",
+      "<lambdifygenerated-146622>:2: RuntimeWarning: divide by zero encountered in scalar divide\n",
+      "  return exp(-sig(_a0_)/relu(_a0_))/S1\n",
+      "<lambdifygenerated-146623>:2: RuntimeWarning: divide by zero encountered in scalar divide\n",
+      "  return exp(-sig(_a0_)/relu(_a0_))/S1\n",
+      "<lambdifygenerated-146626>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(sin(S2/(_a0_*relu(relu(S1))))))\n",
+      "<lambdifygenerated-146627>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(sin(S2/(_a0_*relu(relu(S1))))))\n",
+      "<lambdifygenerated-146647>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return (_a0_**_a0_)**_a0_\n",
+      "<lambdifygenerated-146648>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return (_a0_**_a0_)**_a0_\n",
+      "<lambdifygenerated-146649>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return (_a0_**_a0_)**_a0_\n",
+      " 67%|██████▋   | 1007/1500 [01:11<00:39, 12.48it/s]<lambdifygenerated-146687>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(_a0_)**_a0_)\n",
+      "<lambdifygenerated-146721>:2: RuntimeWarning: divide by zero encountered in scalar divide\n",
+      "  return exp(-sig(_a0_)/relu(relu(_a0_)))/S1\n",
+      "<lambdifygenerated-146722>:2: RuntimeWarning: divide by zero encountered in scalar divide\n",
+      "  return exp(-sig(_a0_)/relu(relu(_a0_)))/S1\n",
+      "<lambdifygenerated-146723>:2: RuntimeWarning: divide by zero encountered in scalar divide\n",
+      "  return exp(-sig(_a0_)/relu(relu(_a0_)))/S1\n",
+      " 67%|██████▋   | 1009/1500 [01:11<00:37, 13.25it/s]<lambdifygenerated-146725>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2/(_a0_*relu(relu(S1 + _a0_)))))\n",
+      "<lambdifygenerated-146726>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2/(_a0_*relu(relu(S1 + _a0_)))))\n",
+      "<lambdifygenerated-146727>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2/(_a0_*relu(relu(S1 + _a0_)))))\n",
+      "<lambdifygenerated-146767>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2*S2**(-S1)/relu(relu(S1))))\n",
+      "<lambdifygenerated-146768>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2*S2**(-S1)/relu(relu(S1))))\n",
+      "<lambdifygenerated-146769>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2*S2**(-S1)/relu(relu(S1))))\n",
+      "<lambdifygenerated-146780>:2: RuntimeWarning: overflow encountered in cosh\n",
+      "  return sqrt(S2)*_a0_/(sqrt(S1)*relu(cosh(fac(S1**2))))\n",
+      "<lambdifygenerated-146781>:2: RuntimeWarning: overflow encountered in cosh\n",
+      "  return sqrt(S2)*_a0_/(sqrt(S1)*relu(cosh(fac(S1**2))))\n",
+      "<lambdifygenerated-146782>:2: RuntimeWarning: overflow encountered in cosh\n",
+      "  return sqrt(S2)*_a0_/(sqrt(S1)*relu(cosh(fac(S1**2))))\n",
+      "<lambdifygenerated-146783>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(S2/_a0_)*exp(-sinh(S2))\n",
+      "<lambdifygenerated-146786>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(relu(S2/_a0_)/sqrt(-S1*S2)))\n",
+      "<lambdifygenerated-146787>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(relu(S2/_a0_)/sqrt(-S1*S2)))\n",
+      "<lambdifygenerated-146788>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(relu(S2/_a0_)/sqrt(-S1*S2)))\n",
+      "<lambdifygenerated-146795>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2*_a0_)**_a0_\n",
+      "<lambdifygenerated-146796>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2*_a0_)**_a0_\n",
+      "<lambdifygenerated-146800>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(sin(S1))**_a0_\n",
+      "<lambdifygenerated-146801>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(sin(S1))**_a0_\n",
+      " 67%|██████▋   | 1011/1500 [01:11<00:38, 12.68it/s]<lambdifygenerated-146809>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2/(_a0_*relu(relu(sin(_a0_))))))\n",
+      "<lambdifygenerated-146810>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2/(_a0_*relu(relu(sin(_a0_))))))\n",
+      "<lambdifygenerated-146811>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2/(_a0_*relu(relu(sin(_a0_))))))\n",
+      "<lambdifygenerated-146835>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-146846>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(S2**_a0_/(S1 - S2))\n",
+      "<lambdifygenerated-146847>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(S2**_a0_/(S1 - S2))\n",
+      "<lambdifygenerated-146848>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(S2**_a0_/(S1 - S2))\n",
+      "<lambdifygenerated-146857>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return sqrt(sig(log(S2*relu(tan(S2))))/relu(S1))\n",
+      "<lambdifygenerated-146858>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return sqrt(sig(log(S2*relu(tan(S2))))/relu(S1))\n",
+      "<lambdifygenerated-146859>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return sqrt(sig(log(S2*relu(tan(S2))))/relu(S1))\n",
+      "<lambdifygenerated-146861>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return tan(_a0_)**_a0_\n",
+      "<lambdifygenerated-146862>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return tan(_a0_)**_a0_\n",
+      " 68%|██████▊   | 1013/1500 [01:11<00:37, 13.09it/s]<lambdifygenerated-146924>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(exp(_a0_)/_a0_)*exp(-S1)\n",
+      "<lambdifygenerated-146927>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(relu(S2/_a0_)/sqrt(S1*cos(S2))))\n",
+      "<lambdifygenerated-146928>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(relu(S2/_a0_)/sqrt(S1*cos(S2))))\n",
+      "<lambdifygenerated-146929>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(relu(S2/_a0_)/sqrt(S1*cos(S2))))\n",
+      "<lambdifygenerated-146935>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return S1**((S1 + S2)**3)\n",
+      "<lambdifygenerated-146936>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return S1**((S1 + S2)**3)\n",
+      "<lambdifygenerated-146937>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return S1**((S1 + S2)**3)\n",
+      "<lambdifygenerated-146939>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return sinh(S2**S1)**_a0_\n",
+      "<lambdifygenerated-146940>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return sinh(S2**S1)**_a0_\n",
+      "<lambdifygenerated-146943>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu((2*_a0_)**_a0_)\n",
+      "<lambdifygenerated-146944>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu((2*_a0_)**_a0_)\n",
+      " 68%|██████▊   | 1015/1500 [01:12<00:36, 13.17it/s]<lambdifygenerated-146975>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return S1**log(_a0_)\n",
+      "<lambdifygenerated-146976>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return (2*_a0_)**_a0_\n",
+      "<lambdifygenerated-146977>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return (2*_a0_)**_a0_\n",
+      "<lambdifygenerated-146981>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return exp(-sig(_a0_)/relu(S1 + _a0_))/S1\n",
+      "<lambdifygenerated-146984>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2/(_a0_*cos(relu(S1)))))\n",
+      "<lambdifygenerated-146985>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2/(_a0_*cos(relu(S1)))))\n",
+      "<lambdifygenerated-147003>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*relu(_a0_**S2)**S1))\n",
+      "<lambdifygenerated-147004>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*relu(_a0_**S2)**S1))\n",
+      "<lambdifygenerated-147009>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_**S1)**_a0_\n",
+      "<lambdifygenerated-147010>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_**S1)**_a0_\n",
+      " 68%|██████▊   | 1017/1500 [01:12<00:37, 12.71it/s]<lambdifygenerated-147062>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(tan(S2)/relu(S1))\n",
+      "<lambdifygenerated-147074>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(sig(log(S2*relu(S2)))/tan(S1))\n",
+      "<lambdifygenerated-147075>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(sig(log(S2*relu(S2)))/tan(S1))\n",
+      "<lambdifygenerated-147079>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_**S1)**_a0_\n",
+      "<lambdifygenerated-147080>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_**S1)**_a0_\n",
+      " 68%|██████▊   | 1019/1500 [01:12<00:39, 12.14it/s]<lambdifygenerated-147097>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2/(_a0_*relu(relu(S1/_a0_)))))\n",
+      "<lambdifygenerated-147098>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2/(_a0_*relu(relu(S1/_a0_)))))\n",
+      "<lambdifygenerated-147099>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2/(_a0_*relu(relu(S1/_a0_)))))\n",
+      "<lambdifygenerated-147110>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(relu(S2/_a0_)/sqrt(cos(S1))))\n",
+      "<lambdifygenerated-147111>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(relu(S2/_a0_)/sqrt(cos(S1))))\n",
+      "<lambdifygenerated-147112>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(relu(S2/_a0_)/sqrt(cos(S1))))\n",
+      "<lambdifygenerated-147113>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(sig(log(S2*relu(S2)))/log(S1))\n",
+      "<lambdifygenerated-147114>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(sig(log(S2*relu(S2)))/log(S1))\n",
+      "<lambdifygenerated-147124>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu((sinh(S1**2)**2)**(_a0_**_a0_)))\n",
+      "<lambdifygenerated-147125>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu((sinh(S1**2)**2)**(_a0_**_a0_)))\n",
+      "<lambdifygenerated-147126>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu((sinh(S1**2)**2)**(_a0_**_a0_)))\n",
+      " 68%|██████▊   | 1021/1500 [01:12<00:37, 12.83it/s]<lambdifygenerated-147184>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return relu(relu((sinh(S2**(2*S1))**2)**_a0_))\n",
+      "<lambdifygenerated-147184>:2: RuntimeWarning: overflow encountered in square\n",
+      "  return relu(relu((sinh(S2**(2*S1))**2)**_a0_))\n",
+      "<lambdifygenerated-147185>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return relu(relu((sinh(S2**(2*S1))**2)**_a0_))\n",
+      "<lambdifygenerated-147185>:2: RuntimeWarning: overflow encountered in square\n",
+      "  return relu(relu((sinh(S2**(2*S1))**2)**_a0_))\n",
+      "<lambdifygenerated-147186>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return relu(relu((sinh(S2**(2*S1))**2)**_a0_))\n",
+      "<lambdifygenerated-147186>:2: RuntimeWarning: overflow encountered in square\n",
+      "  return relu(relu((sinh(S2**(2*S1))**2)**_a0_))\n",
+      "<lambdifygenerated-147188>:2: RuntimeWarning: divide by zero encountered in scalar divide\n",
+      "  return exp(-sig(_a0_)/relu(_a0_))/S1\n",
+      "<lambdifygenerated-147189>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2/(_a0_*relu(relu(log(_a0_))))))\n",
+      "<lambdifygenerated-147190>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2/(_a0_*relu(relu(log(_a0_))))))\n",
+      "<lambdifygenerated-147191>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2/(_a0_*relu(relu(log(_a0_))))))\n",
+      "<lambdifygenerated-147209>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return (2*_a0_)**_a0_\n",
+      "<lambdifygenerated-147210>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return (2*_a0_)**_a0_\n",
+      "<lambdifygenerated-147221>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu((sinh(_a0_**(2*S2))**2)**_a0_))\n",
+      "<lambdifygenerated-147222>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu((sinh(_a0_**(2*S2))**2)**_a0_))\n",
+      "<lambdifygenerated-147223>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu((sinh(_a0_**(2*S2))**2)**_a0_))\n",
+      " 68%|██████▊   | 1023/1500 [01:12<00:36, 12.96it/s]<lambdifygenerated-147236>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return relu(log(relu(S2/_a0_)/sqrt(S1*S2)))\n",
+      "<lambdifygenerated-147273>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-147274>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu((_a0_**S2)**_a0_)\n",
+      "<lambdifygenerated-147275>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu((_a0_**S2)**_a0_)\n",
+      " 68%|██████▊   | 1025/1500 [01:12<00:38, 12.36it/s]<lambdifygenerated-147282>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2**_a0_/relu(relu(S1))))\n",
+      "<lambdifygenerated-147283>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2**_a0_/relu(relu(S1))))\n",
+      "<lambdifygenerated-147302>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(log(S2))**_a0_\n",
+      "<lambdifygenerated-147303>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(log(S2))**_a0_\n",
+      "<lambdifygenerated-147304>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(log(S2))**_a0_\n",
+      "<lambdifygenerated-147326>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return (relu(relu(S2/_a0_))/relu(log(S2)))**sig(relu(S1))\n",
+      "<lambdifygenerated-147327>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return (relu(relu(S2/_a0_))/relu(log(S2)))**sig(relu(S1))\n",
+      " 68%|██████▊   | 1027/1500 [01:13<00:40, 11.60it/s]<lambdifygenerated-147354>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2/(_a0_*relu(_a0_))))\n",
+      "<lambdifygenerated-147355>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2/(_a0_*relu(_a0_))))\n",
+      "<lambdifygenerated-147370>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(tan(log(S2*relu(S2)))/relu(S1))\n",
+      "<lambdifygenerated-147371>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(tan(log(S2*relu(S2)))/relu(S1))\n",
+      "<lambdifygenerated-147381>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return relu(sinh(S1**S1)**_a0_)\n",
+      "<lambdifygenerated-147382>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return relu(sinh(S1**S1)**_a0_)\n",
+      "<lambdifygenerated-147420>:2: RuntimeWarning: divide by zero encountered in scalar divide\n",
+      "  return exp(-sig(_a0_)/relu(_a0_))/S1\n",
+      " 69%|██████▊   | 1029/1500 [01:13<00:39, 11.94it/s]<lambdifygenerated-147422>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(tan(S2/(_a0_*relu(relu(S1))))))\n",
+      "<lambdifygenerated-147423>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(tan(S2/(_a0_*relu(relu(S1))))))\n",
+      "<lambdifygenerated-147436>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return sqrt(sig(log(S2*relu(-S2)))/relu(S1))\n",
+      "<lambdifygenerated-147437>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return sqrt(sig(log(S2*relu(-S2)))/relu(S1))\n",
+      "<lambdifygenerated-147438>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return sqrt(sig(log(S2*relu(-S2)))/relu(S1))\n",
+      "<lambdifygenerated-147451>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return relu(relu((sinh(S2**S1)**2)**_a0_))\n",
+      "<lambdifygenerated-147451>:2: RuntimeWarning: overflow encountered in square\n",
+      "  return relu(relu((sinh(S2**S1)**2)**_a0_))\n",
+      "<lambdifygenerated-147452>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return relu(relu((sinh(S2**S1)**2)**_a0_))\n",
+      "<lambdifygenerated-147452>:2: RuntimeWarning: overflow encountered in square\n",
+      "  return relu(relu((sinh(S2**S1)**2)**_a0_))\n",
+      "<lambdifygenerated-147453>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return relu(relu((sinh(S2**S1)**2)**_a0_))\n",
+      "<lambdifygenerated-147453>:2: RuntimeWarning: overflow encountered in square\n",
+      "  return relu(relu((sinh(S2**S1)**2)**_a0_))\n",
+      " 69%|██████▊   | 1031/1500 [01:13<00:40, 11.59it/s]<lambdifygenerated-147511>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(relu(S2/_a0_)/sqrt(log(S1))))\n",
+      "<lambdifygenerated-147512>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(relu(S2/_a0_)/sqrt(log(S1))))\n",
+      "<lambdifygenerated-147513>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(relu(S2/_a0_)/sqrt(log(S1))))\n",
+      "<lambdifygenerated-147525>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2/_a0_)**_a0_\n",
+      "<lambdifygenerated-147526>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2/_a0_)**_a0_\n",
+      "<lambdifygenerated-147539>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2/(_a0_*tan(relu(S1)))))\n",
+      "<lambdifygenerated-147540>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2/(_a0_*tan(relu(S1)))))\n",
+      "<lambdifygenerated-147565>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (-sinh(S2))**_a0_\n",
+      "<lambdifygenerated-147566>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (-sinh(S2))**_a0_\n",
+      "<lambdifygenerated-147567>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(_a0_)**_a0_)\n",
+      "<lambdifygenerated-147568>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(_a0_)**_a0_)\n",
+      " 69%|██████▉   | 1033/1500 [01:13<00:38, 12.03it/s]<lambdifygenerated-147644>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(relu(exp(tan(S1 + exp(_a0_*relu(S2)**2)))))\n",
+      "<lambdifygenerated-147646>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(cos(S2))**_a0_\n",
+      "<lambdifygenerated-147647>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(cos(S2))**_a0_\n",
+      " 69%|██████▉   | 1035/1500 [01:13<00:43, 10.62it/s]<lambdifygenerated-147688>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(_a0_)**_a0_)\n",
+      "<lambdifygenerated-147689>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(_a0_)**_a0_)\n",
+      "<lambdifygenerated-147696>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log(relu(S2)/relu(relu(cos(S2))))\n",
+      "<lambdifygenerated-147697>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log(relu(S2)/relu(relu(cos(S2))))\n",
+      "<lambdifygenerated-147698>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log(relu(S2)/relu(relu(cos(S2))))\n",
+      "<lambdifygenerated-147699>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(relu(log(-S2/(_a0_*relu(S2*_a0_)))))\n",
+      "<lambdifygenerated-147700>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(relu(log(-S2/(_a0_*relu(S2*_a0_)))))\n",
+      "<lambdifygenerated-147701>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(relu(log(-S2/(_a0_*relu(S2*_a0_)))))\n",
+      "<lambdifygenerated-147717>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S1*_a0_)**_a0_\n",
+      "<lambdifygenerated-147718>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S1*_a0_)**_a0_\n",
+      "<lambdifygenerated-147724>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      " 69%|██████▉   | 1037/1500 [01:14<00:43, 10.72it/s]<lambdifygenerated-147768>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(relu(exp(cos(S1 + exp(_a0_*exp(exp(S2)))))))\n",
+      "<lambdifygenerated-147768>:2: RuntimeWarning: invalid value encountered in cos\n",
+      "  return relu(relu(exp(cos(S1 + exp(_a0_*exp(exp(S2)))))))\n",
+      "<lambdifygenerated-147774>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return exp(-sig(_a0_)/relu(sin(S2)))/S1\n",
+      "<lambdifygenerated-147775>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return exp(-sig(_a0_)/relu(sin(S2)))/S1\n",
+      "<lambdifygenerated-147776>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return exp(-sig(_a0_)/relu(sin(S2)))/S1\n",
+      "<lambdifygenerated-147778>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(relu(log(-sqrt(S2)/relu(relu(S1)))))\n",
+      "<lambdifygenerated-147779>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(relu(log(-sqrt(S2)/relu(relu(S1)))))\n",
+      "<lambdifygenerated-147780>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(relu(log(-sqrt(S2)/relu(relu(S1)))))\n",
+      "<lambdifygenerated-147792>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S1/_a0_)**_a0_\n",
+      "<lambdifygenerated-147793>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S1/_a0_)**_a0_\n",
+      "<lambdifygenerated-147800>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_**S1)**_a0_\n",
+      "<lambdifygenerated-147801>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_**S1)**_a0_\n",
+      " 69%|██████▉   | 1039/1500 [01:14<00:41, 11.18it/s]<lambdifygenerated-147810>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(tan(S2))\n",
+      "<lambdifygenerated-147811>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(tan(S2))\n",
+      "<lambdifygenerated-147827>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return (2*_a0_)**_a0_\n",
+      "<lambdifygenerated-147828>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return (2*_a0_)**_a0_\n",
+      "<lambdifygenerated-147845>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(relu(log(-S2/(_a0_*relu(S1*_a0_)))))\n",
+      "<lambdifygenerated-147846>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(relu(log(-S2/(_a0_*relu(S1*_a0_)))))\n",
+      "<lambdifygenerated-147847>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(relu(log(-S2/(_a0_*relu(S1*_a0_)))))\n",
+      " 69%|██████▉   | 1041/1500 [01:14<00:43, 10.67it/s]<lambdifygenerated-147890>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(relu(log(-S2/(_a0_*relu(relu(_a0_))))))\n",
+      "<lambdifygenerated-147891>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(relu(log(-S2/(_a0_*relu(relu(_a0_))))))\n",
+      "<lambdifygenerated-147905>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S1/_a0_)**_a0_\n",
+      "<lambdifygenerated-147906>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S1/_a0_)**_a0_\n",
+      "<lambdifygenerated-147909>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return tanh(_a0_)**_a0_\n",
+      "<lambdifygenerated-147910>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return tanh(_a0_)**_a0_\n",
+      "<lambdifygenerated-147926>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(relu(log(-S1/(_a0_*relu(relu(S1))))))\n",
+      "<lambdifygenerated-147948>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return cos(S2)**_a0_\n",
+      "<lambdifygenerated-147949>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return cos(S2)**_a0_\n",
+      " 70%|██████▉   | 1043/1500 [01:14<00:40, 11.33it/s]<lambdifygenerated-147953>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log(relu(S2)/relu(-S1))\n",
+      "<lambdifygenerated-147954>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log(relu(S2)/relu(-S1))\n",
+      "<lambdifygenerated-147956>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(relu(log(-S2/(_a0_*relu(_a0_)))))\n",
+      "<lambdifygenerated-147957>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(relu(log(-S2/(_a0_*relu(_a0_)))))\n",
+      "<lambdifygenerated-147958>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(relu(log(-S2/(_a0_*relu(_a0_)))))\n",
+      "<lambdifygenerated-147970>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_/S1)**_a0_\n",
+      "<lambdifygenerated-147971>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_/S1)**_a0_\n",
+      "<lambdifygenerated-147976>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(_a0_)**_a0_)\n",
+      "<lambdifygenerated-147977>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(_a0_)**_a0_)\n",
+      "<lambdifygenerated-147988>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(relu(log(-S2/(_a0_*relu(S2)))))\n",
+      "<lambdifygenerated-147991>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(S2/log(S1))\n",
+      "<lambdifygenerated-147992>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(S2/log(S1))\n",
+      "<lambdifygenerated-148016>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return exp(-sqrt(_a0_)/relu(S1))/S1\n",
+      "<lambdifygenerated-148017>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return exp(-sqrt(_a0_)/relu(S1))/S1\n",
+      " 70%|██████▉   | 1045/1500 [01:14<00:37, 12.29it/s]<lambdifygenerated-148021>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(relu(log(-S2/relu(relu(S1)))))\n",
+      "<lambdifygenerated-148022>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(relu(log(-S2/relu(relu(S1)))))\n",
+      "<lambdifygenerated-148023>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(relu(log(-S2/relu(relu(S1)))))\n",
+      "<lambdifygenerated-148032>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(relu(S2/_a0_)/sqrt(S2*cos(_a0_))))\n",
+      "<lambdifygenerated-148033>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(relu(S2/_a0_)/sqrt(S2*cos(_a0_))))\n",
+      "<lambdifygenerated-148034>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(relu(S2/_a0_)/sqrt(S2*cos(_a0_))))\n",
+      "<lambdifygenerated-148037>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(tanh(log(S2*relu(S2)))/relu(S1))\n",
+      "<lambdifygenerated-148038>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(tanh(log(S2*relu(S2)))/relu(S1))\n",
+      "<lambdifygenerated-148052>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(tan(sinh(S1**2))**_a0_))\n",
+      "<lambdifygenerated-148053>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(tan(sinh(S1**2))**_a0_))\n",
+      "<lambdifygenerated-148060>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(relu(log(-sin(S2)/relu(relu(S1)))))\n",
+      "<lambdifygenerated-148061>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(relu(log(-sin(S2)/relu(relu(S1)))))\n",
+      "<lambdifygenerated-148062>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(relu(log(-sin(S2)/relu(relu(S1)))))\n",
+      "<lambdifygenerated-148068>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(relu(S2/_a0_)/sqrt(cos(_a0_))))\n",
+      "<lambdifygenerated-148069>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(relu(S2/_a0_)/sqrt(cos(_a0_))))\n",
+      "<lambdifygenerated-148070>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(relu(S2/_a0_)/sqrt(cos(_a0_))))\n",
+      " 70%|██████▉   | 1047/1500 [01:14<00:36, 12.35it/s]<lambdifygenerated-148114>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(relu((sinh(S1**2)**2)**(S1**S1)))\n",
+      "<lambdifygenerated-148115>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(relu((sinh(S1**2)**2)**(S1**S1)))\n",
+      "<lambdifygenerated-148116>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(relu((sinh(S1**2)**2)**(S1**S1)))\n",
+      "<lambdifygenerated-148130>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return exp(-S1)*sqrt(sin(S1))\n",
+      "<lambdifygenerated-148131>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return exp(-S1)*sqrt(sin(S1))\n",
+      "<lambdifygenerated-148148>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return exp(-_a0_**S2/relu(S1))/S1\n",
+      "<lambdifygenerated-148148>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return exp(-_a0_**S2/relu(S1))/S1\n",
+      "<lambdifygenerated-148149>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return exp(-_a0_**S2/relu(S1))/S1\n",
+      "<lambdifygenerated-148149>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return exp(-_a0_**S2/relu(S1))/S1\n",
+      "<lambdifygenerated-148150>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return exp(-_a0_**S2/relu(S1))/S1\n",
+      "<lambdifygenerated-148150>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return exp(-_a0_**S2/relu(S1))/S1\n",
+      " 70%|██████▉   | 1049/1500 [01:14<00:34, 13.16it/s]<lambdifygenerated-148187>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(_a0_/S2)**_a0_)\n",
+      "<lambdifygenerated-148188>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(_a0_/S2)**_a0_)\n",
+      "<lambdifygenerated-148200>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(relu(log(-S2/(S1*relu(relu(S1))))))\n",
+      "<lambdifygenerated-148201>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(relu(log(-S2/(S1*relu(relu(S1))))))\n",
+      " 70%|███████   | 1051/1500 [01:15<00:35, 12.77it/s]<lambdifygenerated-148291>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(S2/_a0_)**_a0_)\n",
+      "<lambdifygenerated-148292>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(S2/_a0_)**_a0_)\n",
+      "<lambdifygenerated-148294>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu((-S1**4)**_a0_))\n",
+      "<lambdifygenerated-148295>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu((-S1**4)**_a0_))\n",
+      " 70%|███████   | 1053/1500 [01:15<00:34, 13.07it/s]<lambdifygenerated-148351>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (relu(relu(S2/_a0_))/relu(_a0_**S2))**sig(S1)\n",
+      "<lambdifygenerated-148351>:2: RuntimeWarning: invalid value encountered in divide\n",
+      "  return (relu(relu(S2/_a0_))/relu(_a0_**S2))**sig(S1)\n",
+      " 70%|███████   | 1055/1500 [01:15<00:37, 11.73it/s]<lambdifygenerated-148403>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(relu(exp(tan(S1 + exp(_a0_*exp(relu(S2)))))))\n",
+      "<lambdifygenerated-148405>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return S1**(_a0_**_a0_)\n",
+      "<lambdifygenerated-148406>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return S1**(_a0_**_a0_)\n",
+      "<lambdifygenerated-148439>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S1)**(_a0_**S1)\n",
+      "<lambdifygenerated-148440>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S1)**(_a0_**S1)\n",
+      "<lambdifygenerated-148441>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S1)**(_a0_**S1)\n",
+      "<lambdifygenerated-148442>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu(_a0_**_a0_*relu(sig(_a0_))**S1))\n",
+      "<lambdifygenerated-148443>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu(_a0_**_a0_*relu(sig(_a0_))**S1))\n",
+      "<lambdifygenerated-148444>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return _a0_**((1/2)*_a0_)\n",
+      "<lambdifygenerated-148445>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return _a0_**((1/2)*_a0_)\n",
+      " 70%|███████   | 1057/1500 [01:15<00:37, 11.78it/s]<lambdifygenerated-148461>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(relu(log(-S2*exp(-S1)/relu(relu(S1)))))\n",
+      "<lambdifygenerated-148462>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(relu(log(-S2*exp(-S1)/relu(relu(S1)))))\n",
+      "<lambdifygenerated-148463>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(relu(log(-S2*exp(-S1)/relu(relu(S1)))))\n",
+      "<lambdifygenerated-148475>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return S2 + sqrt(S2*_a0_)*exp(-S1)\n",
+      "<lambdifygenerated-148489>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(_a0_)**_a0_)\n",
+      "<lambdifygenerated-148490>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(_a0_)**_a0_)\n",
+      " 71%|███████   | 1059/1500 [01:15<00:36, 11.94it/s]<lambdifygenerated-148529>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(relu(log(-S2/(_a0_*relu(relu(_a0_/S1))))))\n",
+      "<lambdifygenerated-148530>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(relu(log(-S2/(_a0_*relu(relu(_a0_/S1))))))\n",
+      "<lambdifygenerated-148531>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(relu(log(-S2/(_a0_*relu(relu(_a0_/S1))))))\n",
+      "<lambdifygenerated-148545>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(sin(log(S2*relu(S2)))/relu(S1))\n",
+      "<lambdifygenerated-148546>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(sin(log(S2*relu(S2)))/relu(S1))\n",
+      "<lambdifygenerated-148554>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(relu(exp(cos(exp(_a0_*exp(relu(S2))) + log(_a0_)))))\n",
+      "<lambdifygenerated-148555>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(relu(exp(cos(exp(_a0_*exp(relu(S2))) + log(_a0_)))))\n",
+      "<lambdifygenerated-148556>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(relu(exp(cos(exp(_a0_*exp(relu(S2))) + log(_a0_)))))\n",
+      "<lambdifygenerated-148593>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(relu((sinh(S1)**2)**(S1**3)))\n",
+      "<lambdifygenerated-148594>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(relu((sinh(S1)**2)**(S1**3)))\n",
+      "<lambdifygenerated-148595>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(relu((sinh(S1)**2)**(S1**3)))\n",
+      " 71%|███████   | 1061/1500 [01:15<00:35, 12.22it/s]<lambdifygenerated-148602>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(tan(S2))\n",
+      "<lambdifygenerated-148603>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(tan(S2))\n",
+      "<lambdifygenerated-148620>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return tan(S1)**_a0_\n",
+      "<lambdifygenerated-148634>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(relu(log(-S1**_a0_/(_a0_*relu(relu(S1))))))\n",
+      "<lambdifygenerated-148664>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return relu(sinh(sinh(S2)**2)**_a0_)\n",
+      "<lambdifygenerated-148665>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return relu(sinh(sinh(S2)**2)**_a0_)\n",
+      "<lambdifygenerated-148666>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return relu(sinh(sinh(S2)**2)**_a0_)\n",
+      " 71%|███████   | 1063/1500 [01:16<00:35, 12.40it/s]<lambdifygenerated-148739>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu((sinh(fac(_a0_))**2)**_a0_))\n",
+      "<lambdifygenerated-148740>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu((sinh(fac(_a0_))**2)**_a0_))\n",
+      "<lambdifygenerated-148741>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu((sinh(fac(_a0_))**2)**_a0_))\n",
+      " 71%|███████   | 1065/1500 [01:16<00:35, 12.12it/s]<lambdifygenerated-148744>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(sin(S2)/relu(relu(S1)))\n",
+      "<lambdifygenerated-148745>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(sin(S2)/relu(relu(S1)))\n",
+      "<lambdifygenerated-148791>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(sig(log(S2*relu(S2)))/(S2*_a0_))\n",
+      "<lambdifygenerated-148806>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return sinh(S1)**(S1**S1)\n",
+      "<lambdifygenerated-148807>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return sinh(S1)**(S1**S1)\n",
+      " 71%|███████   | 1067/1500 [01:16<00:39, 10.85it/s]<lambdifygenerated-148826>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return S1**(-S2)*sqrt(S2*_a0_)\n",
+      "<lambdifygenerated-148829>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(S2*relu(sqrt(_a0_))**S1))\n",
+      "<lambdifygenerated-148836>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return S1**(S1**S1)\n",
+      "<lambdifygenerated-148837>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return S1**(S1**S1)\n",
+      "<lambdifygenerated-148838>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(sinh(S1**2)**cosh(S1))\n",
+      "<lambdifygenerated-148839>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(sinh(S1**2)**cosh(S1))\n",
+      "<lambdifygenerated-148840>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(sinh(S1**2)**cosh(S1))\n",
+      "<lambdifygenerated-148848>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(tan(_a0_))\n",
+      "<lambdifygenerated-148849>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(tan(_a0_))\n",
+      "<lambdifygenerated-148861>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-148871>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(S1*_a0_)**_a0_)\n",
+      "<lambdifygenerated-148872>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(S1*_a0_)**_a0_)\n",
+      " 71%|███████▏  | 1069/1500 [01:16<00:37, 11.63it/s]<lambdifygenerated-148947>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(sin(sinh(S1))**_a0_))\n",
+      " 71%|███████▏  | 1071/1500 [01:16<00:35, 12.19it/s]<lambdifygenerated-148950>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(relu(log(-S2**_a0_/relu(relu(S1)))))\n",
+      "<lambdifygenerated-148951>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(relu(log(-S2**_a0_/relu(relu(S1)))))\n",
+      "<lambdifygenerated-148968>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(sinh(_a0_))**_a0_\n",
+      "<lambdifygenerated-148969>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(sinh(_a0_))**_a0_\n",
+      "<lambdifygenerated-149005>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return sqrt(sig(log(S2*relu(S2)))/relu(-S1))\n",
+      "<lambdifygenerated-149006>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return sqrt(sig(log(S2*relu(S2)))/relu(-S1))\n",
+      "<lambdifygenerated-149007>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return sqrt(sig(log(S2*relu(S2)))/relu(-S1))\n",
+      " 72%|███████▏  | 1073/1500 [01:16<00:34, 12.53it/s]<lambdifygenerated-149024>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log(relu(S2)/relu(log(S1)))\n",
+      "<lambdifygenerated-149025>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log(relu(S2)/relu(log(S1)))\n",
+      "<lambdifygenerated-149045>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return S1**(_a0_**_a0_)\n",
+      "<lambdifygenerated-149046>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return S1**(_a0_**_a0_)\n",
+      "<lambdifygenerated-149065>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(relu(log(-S1**3/relu(relu(S1)))))\n",
+      "<lambdifygenerated-149066>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(relu(log(-S1**3/relu(relu(S1)))))\n",
+      "<lambdifygenerated-149067>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(relu(log(-S1**3/relu(relu(S1)))))\n",
+      "<lambdifygenerated-149079>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (1/2)*sqrt(S2*_a0_)/S1\n",
+      "<lambdifygenerated-149096>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu((relu(_a0_)**2)**_a0_))\n",
+      "<lambdifygenerated-149097>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu((relu(_a0_)**2)**_a0_))\n",
+      " 72%|███████▏  | 1075/1500 [01:17<00:32, 12.99it/s]<lambdifygenerated-149124>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2 + _a0_)**_a0_\n",
+      "<lambdifygenerated-149125>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2 + _a0_)**_a0_\n",
+      "<lambdifygenerated-149128>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(relu(exp(cos(S1 + exp(_a0_*exp(S2**2))))))\n",
+      "<lambdifygenerated-149128>:2: RuntimeWarning: invalid value encountered in cos\n",
+      "  return relu(relu(exp(cos(S1 + exp(_a0_*exp(S2**2))))))\n",
+      "<lambdifygenerated-149141>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(log(relu(S1))**_a0_))\n",
+      "<lambdifygenerated-149142>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(log(relu(S1))**_a0_))\n",
+      "<lambdifygenerated-149145>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(relu(log(-S2/(_a0_*relu(S2*_a0_)))))\n",
+      "<lambdifygenerated-149146>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(relu(log(-S2/(_a0_*relu(S2*_a0_)))))\n",
+      "<lambdifygenerated-149165>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return sinh(S2**S2)**_a0_\n",
+      "<lambdifygenerated-149166>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return sinh(S2**S2)**_a0_\n",
+      "<lambdifygenerated-149167>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return -_a0_**_a0_\n",
+      "<lambdifygenerated-149168>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return -_a0_**_a0_\n",
+      " 72%|███████▏  | 1077/1500 [01:17<00:33, 12.61it/s]<lambdifygenerated-149207>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(S2)*log(sig(relu(S1)))**(S1*_a0_)\n",
+      "<lambdifygenerated-149208>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(S2)*log(sig(relu(S1)))**(S1*_a0_)\n",
+      "<lambdifygenerated-149215>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_/S2)**_a0_\n",
+      "<lambdifygenerated-149216>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_/S2)**_a0_\n",
+      "<lambdifygenerated-149221>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return relu(relu(log(relu(S2/(_a0_*relu(relu(S1)))))))\n",
+      "<lambdifygenerated-149222>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return relu(relu(log(relu(S2/(_a0_*relu(relu(S1)))))))\n",
+      "<lambdifygenerated-149239>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(sqrt(_a0_)*relu(sig(_a0_))**S1))\n",
+      "<lambdifygenerated-149240>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(sqrt(_a0_)*relu(sig(_a0_))**S1))\n",
+      "<lambdifygenerated-149241>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(sqrt(_a0_)*relu(sig(_a0_))**S1))\n",
+      " 72%|███████▏  | 1079/1500 [01:17<00:33, 12.43it/s]<lambdifygenerated-149277>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(relu(S2*relu(log(_a0_))**S1))\n",
+      "<lambdifygenerated-149278>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(S1)**_a0_\n",
+      "<lambdifygenerated-149282>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return (_a0_**3)**_a0_\n",
+      "<lambdifygenerated-149283>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return (_a0_**3)**_a0_\n",
+      "<lambdifygenerated-149285>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(sinh(S1**2)**(S2**3))\n",
+      "<lambdifygenerated-149286>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(sinh(S1**2)**(S2**3))\n",
+      "<lambdifygenerated-149287>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(sinh(S1**2)**(S2**3))\n",
+      "<lambdifygenerated-149298>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(relu(log(-S2/(_a0_*relu(relu(S1 + _a0_))))))\n",
+      "<lambdifygenerated-149299>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(relu(log(-S2/(_a0_*relu(relu(S1 + _a0_))))))\n",
+      "<lambdifygenerated-149300>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(relu(log(-S2/(_a0_*relu(relu(S1 + _a0_))))))\n",
+      "<lambdifygenerated-149318>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(tan(_a0_))**_a0_\n",
+      "<lambdifygenerated-149319>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(tan(_a0_))**_a0_\n",
+      "<lambdifygenerated-149320>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(relu(exp(cos(S1 + exp(S2*exp(relu(S2)))))))\n",
+      "<lambdifygenerated-149320>:2: RuntimeWarning: invalid value encountered in cos\n",
+      "  return relu(relu(exp(cos(S1 + exp(S2*exp(relu(S2)))))))\n",
+      "<lambdifygenerated-149321>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(relu(exp(cos(S1 + exp(S2*exp(relu(S2)))))))\n",
+      "<lambdifygenerated-149321>:2: RuntimeWarning: invalid value encountered in cos\n",
+      "  return relu(relu(exp(cos(S1 + exp(S2*exp(relu(S2)))))))\n",
+      " 72%|███████▏  | 1081/1500 [01:17<00:33, 12.62it/s]<lambdifygenerated-149354>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return sinh(S1**S1)**_a0_\n",
+      "<lambdifygenerated-149355>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return sinh(S1**S1)**_a0_\n",
+      "<lambdifygenerated-149362>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return relu(sinh(cosh(S1)**2)**_a0_)\n",
+      "<lambdifygenerated-149363>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return relu(sinh(cosh(S1)**2)**_a0_)\n",
+      "<lambdifygenerated-149364>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return relu(sinh(cosh(S1)**2)**_a0_)\n",
+      "<lambdifygenerated-149373>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu(log(-S2*_a0_**(-_a0_)/relu(relu(S1)))))\n",
+      "<lambdifygenerated-149374>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu(log(-S2*_a0_**(-_a0_)/relu(relu(S1)))))\n",
+      "<lambdifygenerated-149375>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu(log(-S2*_a0_**(-_a0_)/relu(relu(S1)))))\n",
+      "<lambdifygenerated-149386>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(S2*cos(S1))*exp(-S1)\n",
+      "<lambdifygenerated-149387>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(S2*cos(S1))*exp(-S1)\n",
+      "<lambdifygenerated-149388>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(S2*cos(S1))*exp(-S1)\n",
+      "<lambdifygenerated-149399>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(_a0_/S1)**_a0_)\n",
+      "<lambdifygenerated-149400>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(_a0_/S1)**_a0_)\n",
+      "<lambdifygenerated-149401>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return exp(-sqrt(_a0_)/relu(S1))/S1\n",
+      " 72%|███████▏  | 1083/1500 [01:17<00:32, 12.69it/s]<lambdifygenerated-149408>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(relu(-S2)/relu(relu(S1)))\n",
+      "<lambdifygenerated-149409>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(relu(-S2)/relu(relu(S1)))\n",
+      "<lambdifygenerated-149410>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(relu(-S2)/relu(relu(S1)))\n",
+      "<lambdifygenerated-149434>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(2*_a0_)**_a0_\n",
+      "<lambdifygenerated-149435>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(2*_a0_)**_a0_\n",
+      "<lambdifygenerated-149453>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(relu(log(-1/(S2*relu(relu(S1))))))\n",
+      "<lambdifygenerated-149454>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(relu(log(-1/(S2*relu(relu(S1))))))\n",
+      "<lambdifygenerated-149455>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(relu(log(-1/(S2*relu(relu(S1))))))\n",
+      " 72%|███████▏  | 1085/1500 [01:17<00:31, 13.01it/s]<lambdifygenerated-149487>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(log(-S2/(_a0_*relu(relu(_a0_**S1))))))\n",
+      "<lambdifygenerated-149487>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(relu(log(-S2/(_a0_*relu(relu(_a0_**S1))))))\n",
+      "<lambdifygenerated-149488>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(log(-S2/(_a0_*relu(relu(_a0_**S1))))))\n",
+      "<lambdifygenerated-149488>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(relu(log(-S2/(_a0_*relu(relu(_a0_**S1))))))\n",
+      "<lambdifygenerated-149489>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(log(-S2/(_a0_*relu(relu(_a0_**S1))))))\n",
+      "<lambdifygenerated-149489>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(relu(log(-S2/(_a0_*relu(relu(_a0_**S1))))))\n",
+      "<lambdifygenerated-149504>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(relu(exp(cos(S1 + exp(S2**2*exp(relu(S2)))))))\n",
+      "<lambdifygenerated-149504>:2: RuntimeWarning: invalid value encountered in cos\n",
+      "  return relu(relu(exp(cos(S1 + exp(S2**2*exp(relu(S2)))))))\n",
+      "<lambdifygenerated-149505>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(relu(exp(cos(S1 + exp(S2**2*exp(relu(S2)))))))\n",
+      "<lambdifygenerated-149505>:2: RuntimeWarning: invalid value encountered in cos\n",
+      "  return relu(relu(exp(cos(S1 + exp(S2**2*exp(relu(S2)))))))\n",
+      "<lambdifygenerated-149506>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(relu(exp(cos(S1 + exp(S2**2*exp(relu(S2)))))))\n",
+      "<lambdifygenerated-149506>:2: RuntimeWarning: invalid value encountered in cos\n",
+      "  return relu(relu(exp(cos(S1 + exp(S2**2*exp(relu(S2)))))))\n",
+      "<lambdifygenerated-149557>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(cos(relu(S1))**_a0_))\n",
+      "<lambdifygenerated-149558>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(cos(relu(S1))**_a0_))\n",
+      " 72%|███████▏  | 1087/1500 [01:18<00:46,  8.91it/s]<lambdifygenerated-149582>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(relu(exp(cos(S1 + exp(_a0_*exp(2*S2))))))\n",
+      "<lambdifygenerated-149582>:2: RuntimeWarning: invalid value encountered in cos\n",
+      "  return relu(relu(exp(cos(S1 + exp(_a0_*exp(2*S2))))))\n",
+      "<lambdifygenerated-149594>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_/S2)**_a0_\n",
+      "<lambdifygenerated-149595>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_/S2)**_a0_\n",
+      "<lambdifygenerated-149599>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(log(-(S2/_a0_)**relu(relu(S1)))))\n",
+      "<lambdifygenerated-149600>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(log(-(S2/_a0_)**relu(relu(S1)))))\n",
+      "<lambdifygenerated-149602>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return (sin((3*S1 + S2)**_a0_) + sinh(S1))*exp(-S1/_a0_)\n",
+      " 73%|███████▎  | 1089/1500 [01:18<00:42,  9.65it/s]<lambdifygenerated-149643>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return (relu(relu(S2/relu(_a0_)))/(S1 + _a0_))**sig(S1)\n",
+      "<lambdifygenerated-149678>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(_a0_)**_a0_/(S1 + _a0_))\n",
+      "<lambdifygenerated-149688>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-sig(log(S2*relu(S2)))/S1)\n",
+      "<lambdifygenerated-149689>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-sig(log(S2*relu(S2)))/S1)\n",
+      " 73%|███████▎  | 1091/1500 [01:18<00:37, 10.88it/s]<lambdifygenerated-149704>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(relu(log(-1/relu(relu(S1)))))\n",
+      "<lambdifygenerated-149705>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(relu(log(-1/relu(relu(S1)))))\n",
+      "<lambdifygenerated-149706>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(log(S2)/relu(relu(S1)))\n",
+      "<lambdifygenerated-149707>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(log(S2)/relu(relu(S1)))\n",
+      "<lambdifygenerated-149728>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu((-sinh(_a0_**2))**_a0_)\n",
+      "<lambdifygenerated-149729>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu((-sinh(_a0_**2))**_a0_)\n",
+      "<lambdifygenerated-149730>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu((-sinh(_a0_**2))**_a0_)\n",
+      "<lambdifygenerated-149734>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu((relu(_a0_/S1)**2)**_a0_))\n",
+      "<lambdifygenerated-149735>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu((relu(_a0_/S1)**2)**_a0_))\n",
+      "<lambdifygenerated-149736>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu((relu(_a0_/S1)**2)**_a0_))\n",
+      "<lambdifygenerated-149745>:2: RuntimeWarning: invalid value encountered in divide\n",
+      "  return sqrt(S2)*_a0_/(relu(abs(_a0_))*sqrt(tanh(S1)))\n",
+      "<lambdifygenerated-149750>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(S2**2/_a0_)*exp(-S1)\n",
+      "<lambdifygenerated-149753>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(relu(S2/_a0_)/sqrt(S1*log(S1))))\n",
+      "<lambdifygenerated-149754>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(relu(S2/_a0_)/sqrt(S1*log(S1))))\n",
+      "<lambdifygenerated-149755>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(relu(S2/_a0_)/sqrt(S1*log(S1))))\n",
+      "<lambdifygenerated-149762>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return sinh(relu(_a0_))**sin(_a0_)\n",
+      "<lambdifygenerated-149763>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return sinh(relu(_a0_))**sin(_a0_)\n",
+      "<lambdifygenerated-149764>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return sinh(relu(_a0_))**sin(_a0_)\n",
+      "<lambdifygenerated-149772>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(tan(S1))**_a0_\n",
+      "<lambdifygenerated-149773>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(tan(S1))**_a0_\n",
+      " 73%|███████▎  | 1093/1500 [01:18<00:35, 11.53it/s]<lambdifygenerated-149776>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(relu(log(-S2/(_a0_*relu(_a0_/S1)))))\n",
+      "<lambdifygenerated-149777>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(relu(log(-S2/(_a0_*relu(_a0_/S1)))))\n",
+      "<lambdifygenerated-149778>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(relu(log(-S2/(_a0_*relu(_a0_/S1)))))\n",
+      "<lambdifygenerated-149791>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(S2*_a0_)/S2**2\n",
+      "<lambdifygenerated-149821>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (sin((3*S1 + S2)**_a0_) + 1/sqrt(_a0_))*exp(-S1/_a0_)\n",
+      "<lambdifygenerated-149837>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(tan(S1))**sin(_a0_)\n",
+      "<lambdifygenerated-149838>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(tan(S1))**sin(_a0_)\n",
+      "<lambdifygenerated-149839>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(tan(S1))**sin(_a0_)\n",
+      "<lambdifygenerated-149842>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return exp(-sqrt(_a0_)/relu(S1))/S1\n",
+      " 73%|███████▎  | 1095/1500 [01:18<00:33, 12.08it/s]<lambdifygenerated-149880>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(S2)*log(sig(relu(S1)))**(S1*_a0_)\n",
+      "<lambdifygenerated-149893>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-sig(S2)/relu(relu(S1))))\n",
+      "<lambdifygenerated-149894>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-sig(S2)/relu(relu(S1))))\n",
+      "<lambdifygenerated-149895>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-sig(S2)/relu(relu(S1))))\n",
+      "<lambdifygenerated-149909>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(relu(S2/_a0_)/sqrt(S1*log(S2))))\n",
+      "<lambdifygenerated-149910>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(relu(S2/_a0_)/sqrt(S1*log(S2))))\n",
+      "<lambdifygenerated-149911>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(relu(S2/_a0_)/sqrt(S1*log(S2))))\n",
+      "<lambdifygenerated-149915>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(sig(log(S2*relu(S2)))/tan(S1))\n",
+      "<lambdifygenerated-149919>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(_a0_/S1)**sin(_a0_)\n",
+      "<lambdifygenerated-149920>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(_a0_/S1)**sin(_a0_)\n",
+      "<lambdifygenerated-149921>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(_a0_/S1)**sin(_a0_)\n",
+      " 73%|███████▎  | 1097/1500 [01:19<00:33, 11.92it/s]<lambdifygenerated-149937>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(log(S2/S1))\n",
+      "<lambdifygenerated-149938>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(log(S2/S1))\n",
+      "<lambdifygenerated-149959>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_/S2)**_a0_\n",
+      "<lambdifygenerated-149960>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_/S2)**_a0_\n",
+      "<lambdifygenerated-149964>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-149984>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sqrt(sig(log(S2*relu(S2)))/tan(S1)))\n",
+      "<lambdifygenerated-149985>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sqrt(sig(log(S2*relu(S2)))/tan(S1)))\n",
+      "<lambdifygenerated-150001>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_**S2)**_a0_\n",
+      "<lambdifygenerated-150002>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_**S2)**_a0_\n",
+      " 73%|███████▎  | 1099/1500 [01:19<00:32, 12.28it/s]<lambdifygenerated-150003>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log(relu(S2)/relu(-S1))\n",
+      "<lambdifygenerated-150039>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(S2)*_a0_/(relu(abs(fac(S1)))*sqrt(tan(S1)))\n",
+      "<lambdifygenerated-150040>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(S2)*_a0_/(relu(abs(fac(S1)))*sqrt(tan(S1)))\n",
+      "<lambdifygenerated-150053>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*relu(_a0_**S1)**S1))\n",
+      "<lambdifygenerated-150054>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*relu(_a0_**S1)**S1))\n",
+      "<lambdifygenerated-150055>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*relu(_a0_**S1)**S1))\n",
+      "<lambdifygenerated-150058>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return _a0_**sin(_a0_)\n",
+      "<lambdifygenerated-150059>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return _a0_**sin(_a0_)\n",
+      "<lambdifygenerated-150063>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return exp(-sig(_a0_)/relu(S2 + _a0_))/S1\n",
+      "<lambdifygenerated-150064>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return exp(-sig(_a0_)/relu(S2 + _a0_))/S1\n",
+      "<lambdifygenerated-150065>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return exp(-sig(_a0_)/relu(S2 + _a0_))/S1\n",
+      " 73%|███████▎  | 1101/1500 [01:19<00:32, 12.40it/s]<lambdifygenerated-150080>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return exp(-S1/_a0_)*sin((3*S1 + S2)**_a0_)**(S2/_a0_)\n",
+      "<lambdifygenerated-150081>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return exp(-S1/_a0_)*sin((3*S1 + S2)**_a0_)**(S2/_a0_)\n",
+      "<lambdifygenerated-150082>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(tanh(_a0_))**_a0_/(S1 + _a0_))\n",
+      "<lambdifygenerated-150109>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(-S1)**_a0_\n",
+      "<lambdifygenerated-150110>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(-S1)**_a0_\n",
+      "<lambdifygenerated-150112>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2/(_a0_*relu(_a0_))))\n",
+      "<lambdifygenerated-150113>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2/(_a0_*relu(_a0_))))\n",
+      "<lambdifygenerated-150125>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(relu(S2/_a0_)/sqrt(-S2*_a0_)))\n",
+      "<lambdifygenerated-150126>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(relu(S2/_a0_)/sqrt(-S2*_a0_)))\n",
+      "<lambdifygenerated-150127>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(relu(S2/_a0_)/sqrt(-S2*_a0_)))\n",
+      "<lambdifygenerated-150133>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return sinh(fac(_a0_))**sin(_a0_)\n",
+      "<lambdifygenerated-150134>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return sinh(fac(_a0_))**sin(_a0_)\n",
+      "<lambdifygenerated-150135>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return sinh(fac(_a0_))**sin(_a0_)\n",
+      " 74%|███████▎  | 1103/1500 [01:19<00:31, 12.52it/s]<lambdifygenerated-150159>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-S2/S1)*exp(-S1)\n",
+      "<lambdifygenerated-150160>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-S2/S1)*exp(-S1)\n",
+      "<lambdifygenerated-150161>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-S2/S1)*exp(-S1)\n",
+      "<lambdifygenerated-150163>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*relu(_a0_**S2)**S1))\n",
+      "<lambdifygenerated-150164>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*relu(_a0_**S2)**S1))\n",
+      "<lambdifygenerated-150194>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return (relu(relu(S1/relu(_a0_)))/relu(S1))**sig(S1)\n",
+      "<lambdifygenerated-150200>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu(exp(cos(S1 + exp(_a0_*exp(_a0_**_a0_))))))\n",
+      "<lambdifygenerated-150201>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu(exp(cos(S1 + exp(_a0_*exp(_a0_**_a0_))))))\n",
+      "<lambdifygenerated-150202>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu(exp(cos(S1 + exp(_a0_*exp(_a0_**_a0_))))))\n",
+      " 74%|███████▎  | 1105/1500 [01:19<00:30, 13.06it/s]<lambdifygenerated-150218>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(relu(cos(S2))/relu(relu(S1)))\n",
+      "<lambdifygenerated-150219>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(relu(cos(S2))/relu(relu(S1)))\n",
+      "<lambdifygenerated-150220>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(relu(cos(S2))/relu(relu(S1)))\n",
+      "<lambdifygenerated-150221>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-exp(S1)/relu(relu(S1))))\n",
+      "<lambdifygenerated-150222>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-exp(S1)/relu(relu(S1))))\n",
+      "<lambdifygenerated-150223>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-exp(S1)/relu(relu(S1))))\n",
+      "<lambdifygenerated-150246>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**sin(_a0_)\n",
+      "<lambdifygenerated-150247>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**sin(_a0_)\n",
+      "<lambdifygenerated-150255>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-150258>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(log(-S2*_a0_**(-S1)/relu(relu(S1))))\n",
+      "<lambdifygenerated-150259>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(log(-S2*_a0_**(-S1)/relu(relu(S1))))\n",
+      "<lambdifygenerated-150260>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(log(-S2*_a0_**(-S1)/relu(relu(S1))))\n",
+      "<lambdifygenerated-150282>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2*_a0_)**sin(_a0_)\n",
+      "<lambdifygenerated-150283>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2*_a0_)**sin(_a0_)\n",
+      "<lambdifygenerated-150284>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2*_a0_)**sin(_a0_)\n",
+      " 74%|███████▍  | 1107/1500 [01:19<00:29, 13.19it/s]<lambdifygenerated-150295>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2/(_a0_*relu(S2**S1))))\n",
+      "<lambdifygenerated-150298>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(tan(S1))\n",
+      "<lambdifygenerated-150299>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(tan(S1))\n",
+      "<lambdifygenerated-150302>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sin(S2)**_a0_/(S1 + _a0_))\n",
+      "<lambdifygenerated-150303>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sin(S2)**_a0_/(S1 + _a0_))\n",
+      "<lambdifygenerated-150359>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(_a0_/S1)**_a0_)\n",
+      "<lambdifygenerated-150360>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(_a0_/S1)**_a0_)\n",
+      " 74%|███████▍  | 1109/1500 [01:19<00:28, 13.55it/s]<lambdifygenerated-150369>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-sinh(S2)/relu(relu(S1))))\n",
+      "<lambdifygenerated-150370>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-sinh(S2)/relu(relu(S1))))\n",
+      "<lambdifygenerated-150371>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-sinh(S2)/relu(relu(S1))))\n",
+      "<lambdifygenerated-150393>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(exp(cos(S1 + sqrt(_a0_*exp(relu(S2)))))))\n",
+      "<lambdifygenerated-150394>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(exp(cos(S1 + sqrt(_a0_*exp(relu(S2)))))))\n",
+      "<lambdifygenerated-150403>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return S1**(S1**S1)\n",
+      "<lambdifygenerated-150404>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return S1**(S1**S1)\n",
+      "<lambdifygenerated-150422>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(relu(log(S2/_a0_)/sqrt(S1*S2)))\n",
+      "<lambdifygenerated-150431>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(_a0_/S2)**_a0_)\n",
+      "<lambdifygenerated-150432>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(_a0_/S2)**_a0_)\n",
+      "<lambdifygenerated-150437>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(relu((relu(S1)**2)**(S1**S2)))\n",
+      "<lambdifygenerated-150438>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(relu((relu(S1)**2)**(S1**S2)))\n",
+      "<lambdifygenerated-150439>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(relu((relu(S1)**2)**(S1**S2)))\n",
+      " 74%|███████▍  | 1111/1500 [01:20<00:29, 12.99it/s]<lambdifygenerated-150443>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(relu(-S2)/relu(relu(S1)))\n",
+      "<lambdifygenerated-150444>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(relu(-S2)/relu(relu(S1)))\n",
+      "<lambdifygenerated-150445>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2/(S1*relu(relu(S1)))))\n",
+      "<lambdifygenerated-150469>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(_a0_**S2)**sin(_a0_)\n",
+      "<lambdifygenerated-150470>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(_a0_**S2)**sin(_a0_)\n",
+      "<lambdifygenerated-150471>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(_a0_**S2)**sin(_a0_)\n",
+      "<lambdifygenerated-150476>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2 + _a0_)**_a0_\n",
+      "<lambdifygenerated-150477>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2 + _a0_)**_a0_\n",
+      "<lambdifygenerated-150494>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sqrt(sig(log(S2*relu(S2)))/log(S1)))\n",
+      "<lambdifygenerated-150495>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sqrt(sig(log(S2*relu(S2)))/log(S1)))\n",
+      " 74%|███████▍  | 1113/1500 [01:20<00:28, 13.50it/s]<lambdifygenerated-150521>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return (relu(relu(S2/relu(S1/_a0_)))/relu(S1))**sig(S1)\n",
+      "<lambdifygenerated-150550>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return (_a0_**_a0_)**_a0_\n",
+      "<lambdifygenerated-150551>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return (_a0_**_a0_)**_a0_\n",
+      "<lambdifygenerated-150569>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(relu(relu(S2/_a0_)/sqrt(S1*S2)))\n",
+      "<lambdifygenerated-150575>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(relu(exp(cos(exp(_a0_*exp(relu(S2))) + log(_a0_)))))\n",
+      "<lambdifygenerated-150576>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(relu(exp(cos(exp(_a0_*exp(relu(S2))) + log(_a0_)))))\n",
+      " 74%|███████▍  | 1115/1500 [01:20<00:28, 13.33it/s]<lambdifygenerated-150590>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-1/(S1*relu(relu(S1)))))\n",
+      "<lambdifygenerated-150591>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-1/(S1*relu(relu(S1)))))\n",
+      "<lambdifygenerated-150592>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-1/(S1*relu(relu(S1)))))\n",
+      "<lambdifygenerated-150606>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return relu(sqrt(sig(log(relu(S2)*log(_a0_)))/relu(S1)))\n",
+      "<lambdifygenerated-150624>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(tan(S2/(_a0_*relu(relu(S1))))))\n",
+      "<lambdifygenerated-150654>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_**S2)**_a0_\n",
+      "<lambdifygenerated-150655>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_**S2)**_a0_\n",
+      " 74%|███████▍  | 1117/1500 [01:20<00:28, 13.50it/s]<lambdifygenerated-150656>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log(relu(S2)/relu(relu(S2 + _a0_)))\n",
+      "<lambdifygenerated-150685>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sinh(S1)**log(_a0_)\n",
+      "<lambdifygenerated-150686>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sinh(S1)**log(_a0_)\n",
+      "<lambdifygenerated-150727>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2/_a0_)**_a0_\n",
+      "<lambdifygenerated-150728>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2/_a0_)**_a0_\n",
+      " 75%|███████▍  | 1119/1500 [01:20<00:28, 13.49it/s]<lambdifygenerated-150766>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sin(S1)**_a0_\n",
+      "<lambdifygenerated-150806>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(S1)**log(_a0_)\n",
+      "<lambdifygenerated-150807>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(S1)**log(_a0_)\n",
+      "<lambdifygenerated-150808>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(S1)**log(_a0_)\n",
+      " 75%|███████▍  | 1121/1500 [01:20<00:28, 13.48it/s]<lambdifygenerated-150809>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(tan(S2)/relu(relu(S1)))\n",
+      "<lambdifygenerated-150810>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(tan(S2)/relu(relu(S1)))\n",
+      "<lambdifygenerated-150823>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(relu(S2/_a0_)/sqrt(S2*(S2 + _a0_))))\n",
+      "<lambdifygenerated-150828>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*relu(sig(_a0_))**(_a0_**S2)))\n",
+      "<lambdifygenerated-150829>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*relu(sig(_a0_))**(_a0_**S2)))\n",
+      "<lambdifygenerated-150830>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*relu(sig(_a0_))**(_a0_**S2)))\n",
+      "<lambdifygenerated-150845>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(_a0_)**_a0_\n",
+      "<lambdifygenerated-150849>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2/(_a0_*relu(relu(2*_a0_)))))\n",
+      "<lambdifygenerated-150850>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2/(_a0_*relu(relu(2*_a0_)))))\n",
+      "<lambdifygenerated-150851>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2/(_a0_*relu(relu(2*_a0_)))))\n",
+      "<lambdifygenerated-150875>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(sin(_a0_))**_a0_\n",
+      "<lambdifygenerated-150876>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(sin(_a0_))**_a0_\n",
+      "<lambdifygenerated-150877>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(sin(_a0_))**_a0_\n",
+      "<lambdifygenerated-150878>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(_a0_)**_a0_)\n",
+      "<lambdifygenerated-150879>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(_a0_)**_a0_)\n",
+      " 75%|███████▍  | 1123/1500 [01:21<00:28, 13.08it/s]<lambdifygenerated-150894>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(relu(S2)**_a0_/(_a0_ + relu(S1)))\n",
+      "<lambdifygenerated-150930>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(_a0_**_a0_/(_a0_ + relu(S1)))\n",
+      "<lambdifygenerated-150946>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return cos(S1)**_a0_\n",
+      "<lambdifygenerated-150947>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(_a0_)**_a0_)\n",
+      "<lambdifygenerated-150948>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(_a0_)**_a0_)\n",
+      " 75%|███████▌  | 1125/1500 [01:21<00:28, 13.22it/s]<lambdifygenerated-150959>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S1/relu(relu(S1))))\n",
+      "<lambdifygenerated-150960>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S1/relu(relu(S1))))\n",
+      "<lambdifygenerated-150965>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (-relu(relu(S2/relu(2*_a0_)))/S1)**sig(S1)\n",
+      "<lambdifygenerated-150966>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (-relu(relu(S2/relu(2*_a0_)))/S1)**sig(S1)\n",
+      "<lambdifygenerated-150972>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(S2/tan(S2))*exp(-S1)\n",
+      "<lambdifygenerated-150973>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(S2/tan(S2))*exp(-S1)\n",
+      "<lambdifygenerated-150974>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(S2/tan(S2))*exp(-S1)\n",
+      "<lambdifygenerated-150997>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(cos(S1))**_a0_\n",
+      "<lambdifygenerated-150998>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(cos(S1))**_a0_\n",
+      "<lambdifygenerated-151024>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(exp(cos(S1 + exp(_a0_*exp(_a0_**S2))))))\n",
+      "<lambdifygenerated-151025>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(exp(cos(S1 + exp(_a0_*exp(_a0_**S2))))))\n",
+      "<lambdifygenerated-151026>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(exp(cos(S1 + exp(_a0_*exp(_a0_**S2))))))\n",
+      " 75%|███████▌  | 1127/1500 [01:21<00:28, 13.09it/s]<lambdifygenerated-151065>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return exp(-sig(log(_a0_))/relu(S1))/S1\n",
+      "<lambdifygenerated-151066>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return exp(-sig(log(_a0_))/relu(S1))/S1\n",
+      "<lambdifygenerated-151067>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return exp(-sig(log(_a0_))/relu(S1))/S1\n",
+      "<lambdifygenerated-151076>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2**2/relu(relu(S1))))\n",
+      "<lambdifygenerated-151077>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2**2/relu(relu(S1))))\n",
+      "<lambdifygenerated-151078>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2**2/relu(relu(S1))))\n",
+      "<lambdifygenerated-151088>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(S2/log(S2))*exp(-S1)\n",
+      "<lambdifygenerated-151089>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(S2/log(S2))*exp(-S1)\n",
+      "<lambdifygenerated-151090>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(S2/log(S2))*exp(-S1)\n",
+      "<lambdifygenerated-151105>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu((S1*_a0_)**_a0_)\n",
+      "<lambdifygenerated-151106>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu((S1*_a0_)**_a0_)\n",
+      "<lambdifygenerated-151109>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(S2)**(-_a0_)\n",
+      "<lambdifygenerated-151110>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(S2)**(-_a0_)\n",
+      "<lambdifygenerated-151114>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sin(S1)**_a0_\n",
+      " 75%|███████▌  | 1129/1500 [01:21<00:28, 13.18it/s]<lambdifygenerated-151118>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2/(relu(relu(S1))*log(S2))))\n",
+      "<lambdifygenerated-151119>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2/(relu(relu(S1))*log(S2))))\n",
+      "<lambdifygenerated-151120>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2/(relu(relu(S1))*log(S2))))\n",
+      "<lambdifygenerated-151135>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(sqrt(sig(log(relu(S2)*cos(S2)))/relu(S1)))\n",
+      "<lambdifygenerated-151136>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(sqrt(sig(log(relu(S2)*cos(S2)))/relu(S1)))\n",
+      "<lambdifygenerated-151137>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(sqrt(sig(log(relu(S2)*cos(S2)))/relu(S1)))\n",
+      "<lambdifygenerated-151138>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(exp(cos(S1 + exp(_a0_*exp(relu(_a0_**S2)))))))\n",
+      "<lambdifygenerated-151139>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(exp(cos(S1 + exp(_a0_*exp(relu(_a0_**S2)))))))\n",
+      "<lambdifygenerated-151140>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(exp(cos(S1 + exp(_a0_*exp(relu(_a0_**S2)))))))\n",
+      "<lambdifygenerated-151152>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log((S2 + _a0_)/relu(relu(S1)))\n",
+      "<lambdifygenerated-151155>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-log(S1)/relu(relu(S1))))\n",
+      "<lambdifygenerated-151156>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-log(S1)/relu(relu(S1))))\n",
+      "<lambdifygenerated-151157>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-log(S1)/relu(relu(S1))))\n",
+      "<lambdifygenerated-151160>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return (relu(relu(S2/relu(2*_a0_)))/S2)**sig(S1)\n",
+      " 75%|███████▌  | 1131/1500 [01:21<00:27, 13.37it/s]<lambdifygenerated-151192>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2/(_a0_*relu(sin(S1)))))\n",
+      "<lambdifygenerated-151193>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2/(_a0_*relu(sin(S1)))))\n",
+      "<lambdifygenerated-151210>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sqrt(sig(log(S2*relu(S2)))/(S2 + _a0_)))\n",
+      "<lambdifygenerated-151213>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(relu(exp(cos(S1 + exp(relu(S1)*exp(relu(S2)))))))\n",
+      "<lambdifygenerated-151213>:2: RuntimeWarning: invalid value encountered in cos\n",
+      "  return relu(relu(exp(cos(S1 + exp(relu(S1)*exp(relu(S2)))))))\n",
+      "<lambdifygenerated-151214>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(relu(exp(cos(S1 + exp(relu(S1)*exp(relu(S2)))))))\n",
+      "<lambdifygenerated-151214>:2: RuntimeWarning: invalid value encountered in cos\n",
+      "  return relu(relu(exp(cos(S1 + exp(relu(S1)*exp(relu(S2)))))))\n",
+      "<lambdifygenerated-151215>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(relu(exp(cos(S1 + exp(relu(S1)*exp(relu(S2)))))))\n",
+      "<lambdifygenerated-151215>:2: RuntimeWarning: invalid value encountered in cos\n",
+      "  return relu(relu(exp(cos(S1 + exp(relu(S1)*exp(relu(S2)))))))\n",
+      "<lambdifygenerated-151222>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu((_a0_**(2*S1))**_a0_))\n",
+      "<lambdifygenerated-151223>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu((_a0_**(2*S1))**_a0_))\n",
+      "<lambdifygenerated-151224>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu((_a0_**(2*S1))**_a0_))\n",
+      "<lambdifygenerated-151255>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu((relu(fac(_a0_))**2)**_a0_))\n",
+      "<lambdifygenerated-151256>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu((relu(fac(_a0_))**2)**_a0_))\n",
+      "<lambdifygenerated-151257>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu((relu(fac(_a0_))**2)**_a0_))\n",
+      " 76%|███████▌  | 1133/1500 [01:21<00:28, 13.08it/s]<lambdifygenerated-151285>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return exp(-_a0_**S2/relu(S1))/S1\n",
+      "<lambdifygenerated-151285>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return exp(-_a0_**S2/relu(S1))/S1\n",
+      "<lambdifygenerated-151286>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return exp(-_a0_**S2/relu(S1))/S1\n",
+      "<lambdifygenerated-151286>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return exp(-_a0_**S2/relu(S1))/S1\n",
+      "<lambdifygenerated-151322>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(log(S1))**(-_a0_)\n",
+      "<lambdifygenerated-151323>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(log(S1))**(-_a0_)\n",
+      "<lambdifygenerated-151324>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(log(S1))**(-_a0_)\n",
+      "<lambdifygenerated-151330>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return exp(-_a0_**(-_a0_)*sig(_a0_))/S1\n",
+      "<lambdifygenerated-151331>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return exp(-_a0_**(-_a0_)*sig(_a0_))/S1\n",
+      "<lambdifygenerated-151333>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu((relu(S2 + _a0_)**2)**_a0_))\n",
+      "<lambdifygenerated-151334>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu((relu(S2 + _a0_)**2)**_a0_))\n",
+      "<lambdifygenerated-151335>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu((relu(S2 + _a0_)**2)**_a0_))\n",
+      " 76%|███████▌  | 1135/1500 [01:21<00:28, 13.01it/s]<lambdifygenerated-151373>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(S2)**(-_a0_)\n",
+      "<lambdifygenerated-151374>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(S2)**(-_a0_)\n",
+      "<lambdifygenerated-151391>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(relu(S2/_a0_)/sqrt(S1*log(S1))))\n",
+      "<lambdifygenerated-151392>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(relu(S2/_a0_)/sqrt(S1*log(S1))))\n",
+      "<lambdifygenerated-151399>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sqrt(tanh(log(S2*relu(S2)))/relu(S1)))\n",
+      "<lambdifygenerated-151400>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sqrt(tanh(log(S2*relu(S2)))/relu(S1)))\n",
+      " 76%|███████▌  | 1137/1500 [01:22<00:29, 12.45it/s]<lambdifygenerated-151423>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(S2)*_a0_/(sqrt(-S1)*relu(abs(fac(S1))))\n",
+      "<lambdifygenerated-151424>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(S2)*_a0_/(sqrt(-S1)*relu(abs(fac(S1))))\n",
+      "<lambdifygenerated-151455>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu((relu(_a0_/S2)**2)**_a0_))\n",
+      "<lambdifygenerated-151456>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu((relu(_a0_/S2)**2)**_a0_))\n",
+      "<lambdifygenerated-151457>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu((relu(_a0_/S2)**2)**_a0_))\n",
+      "<lambdifygenerated-151461>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2/(S1*relu(relu(S1)))))\n",
+      "<lambdifygenerated-151462>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return (relu(relu(S1/relu(2*_a0_)))/relu(S1))**sig(S1)\n",
+      "<lambdifygenerated-151464>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return sqrt(S2)*_a0_/(relu(log(fac(S1)))*sqrt(tanh(S1)))\n",
+      "<lambdifygenerated-151465>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return sqrt(S2)*_a0_/(relu(log(fac(S1)))*sqrt(tanh(S1)))\n",
+      "<lambdifygenerated-151496>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_/S2)**_a0_\n",
+      "<lambdifygenerated-151497>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_/S2)**_a0_\n",
+      " 76%|███████▌  | 1139/1500 [01:22<00:29, 12.06it/s]<lambdifygenerated-151503>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S1/relu(relu(S1))))\n",
+      "<lambdifygenerated-151504>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S1/relu(relu(S1))))\n",
+      "<lambdifygenerated-151505>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return (relu(relu(S2/relu(2*_a0_)))/relu(sinh(S2)))**sig(S1)\n",
+      "<lambdifygenerated-151535>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return S1**(-_a0_**S1)\n",
+      "<lambdifygenerated-151540>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return tan(S1)**_a0_\n",
+      "<lambdifygenerated-151546>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2*exp(-S2)/relu(relu(S1))))\n",
+      "<lambdifygenerated-151547>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2*exp(-S2)/relu(relu(S1))))\n",
+      "<lambdifygenerated-151548>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2*exp(-S2)/relu(relu(S1))))\n",
+      "<lambdifygenerated-151549>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return (relu(relu(S2/relu(2*_a0_)))/relu(S2))**sig(S1)\n",
+      "<lambdifygenerated-151559>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(relu(relu(S2/_a0_)/sqrt(cos(_a0_)))))\n",
+      "<lambdifygenerated-151560>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(relu(relu(S2/_a0_)/sqrt(cos(_a0_)))))\n",
+      "<lambdifygenerated-151561>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(relu(relu(S2/_a0_)/sqrt(cos(_a0_)))))\n",
+      "<lambdifygenerated-151564>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(sqrt(sig(log(S2**2))/relu(-_a0_)))\n",
+      "<lambdifygenerated-151565>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(sqrt(sig(log(S2**2))/relu(-_a0_)))\n",
+      "<lambdifygenerated-151566>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(sqrt(sig(log(S2**2))/relu(-_a0_)))\n",
+      "<lambdifygenerated-151574>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu((2*_a0_)**_a0_))\n",
+      "<lambdifygenerated-151575>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu((2*_a0_)**_a0_))\n",
+      "<lambdifygenerated-151576>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu((2*_a0_)**_a0_))\n",
+      " 76%|███████▌  | 1141/1500 [01:22<00:30, 11.89it/s]<lambdifygenerated-151612>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(tan(relu(S1))**_a0_))\n",
+      "<lambdifygenerated-151613>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(tan(relu(S1))**_a0_))\n",
+      "<lambdifygenerated-151616>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2/(_a0_*relu(log(S1)))))\n",
+      "<lambdifygenerated-151617>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2/(_a0_*relu(log(S1)))))\n",
+      "<lambdifygenerated-151628>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(relu(relu(S2/_a0_)/sqrt(S1*cos(S2)))))\n",
+      "<lambdifygenerated-151629>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(relu(relu(S2/_a0_)/sqrt(S1*cos(S2)))))\n",
+      "<lambdifygenerated-151630>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(relu(relu(S2/_a0_)/sqrt(S1*cos(S2)))))\n",
+      "<lambdifygenerated-151634>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sqrt(sqrt(log(S2**2))/relu(S1)))\n",
+      "<lambdifygenerated-151635>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sqrt(sqrt(log(S2**2))/relu(S1)))\n",
+      "<lambdifygenerated-151639>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu((S1 + _a0_)**_a0_))\n",
+      "<lambdifygenerated-151640>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu((S1 + _a0_)**_a0_))\n",
+      "<lambdifygenerated-151641>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu((S1 + _a0_)**_a0_))\n",
+      "<lambdifygenerated-151651>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu((relu(_a0_/S2)**2)**_a0_))\n",
+      "<lambdifygenerated-151652>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu((relu(_a0_/S2)**2)**_a0_))\n",
+      " 76%|███████▌  | 1143/1500 [01:22<00:28, 12.39it/s]<lambdifygenerated-151653>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(S2/cos(S2))\n",
+      "<lambdifygenerated-151654>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(S2/cos(S2))\n",
+      "<lambdifygenerated-151655>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(relu(log(S1))/relu(relu(S1)))\n",
+      "<lambdifygenerated-151656>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(relu(log(S1))/relu(relu(S1)))\n",
+      "<lambdifygenerated-151657>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(relu(log(S1))/relu(relu(S1)))\n",
+      "<lambdifygenerated-151694>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2/(_a0_*relu(_a0_/S1))))\n",
+      "<lambdifygenerated-151695>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2/(_a0_*relu(_a0_/S1))))\n",
+      "<lambdifygenerated-151696>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2/(_a0_*relu(_a0_/S1))))\n",
+      "<lambdifygenerated-151724>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return tan(S1)**_a0_\n",
+      " 76%|███████▋  | 1145/1500 [01:22<00:28, 12.51it/s]<lambdifygenerated-151731>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(log(-S2/(_a0_*relu(_a0_**S2))))\n",
+      "<lambdifygenerated-151731>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2/(_a0_*relu(_a0_**S2))))\n",
+      "<lambdifygenerated-151732>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(log(-S2/(_a0_*relu(_a0_**S2))))\n",
+      "<lambdifygenerated-151732>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2/(_a0_*relu(_a0_**S2))))\n",
+      "<lambdifygenerated-151733>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(log(-S2/(_a0_*relu(_a0_**S2))))\n",
+      "<lambdifygenerated-151733>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2/(_a0_*relu(_a0_**S2))))\n",
+      "<lambdifygenerated-151742>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(log(S1))**_a0_/(_a0_ + relu(S1)))\n",
+      "<lambdifygenerated-151753>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(relu(exp(cos(S1 + exp(S2*exp(relu(S2)))))))\n",
+      "<lambdifygenerated-151753>:2: RuntimeWarning: invalid value encountered in cos\n",
+      "  return relu(relu(exp(cos(S1 + exp(S2*exp(relu(S2)))))))\n",
+      "<lambdifygenerated-151762>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return exp(-sig(_a0_)/relu(S1))/relu(_a0_)\n",
+      "<lambdifygenerated-151763>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return exp(-sig(_a0_)/relu(S1))/relu(_a0_)\n",
+      "<lambdifygenerated-151764>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return exp(-sig(_a0_)/relu(S1))/relu(_a0_)\n",
+      "<lambdifygenerated-151768>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2*exp(-S1)/relu(relu(S1))))\n",
+      "<lambdifygenerated-151769>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2*exp(-S1)/relu(relu(S1))))\n",
+      "<lambdifygenerated-151770>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2*exp(-S1)/relu(relu(S1))))\n",
+      "<lambdifygenerated-151773>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(S2)*_a0_/(relu(abs(fac(S1)))*sqrt(sin(S1)))\n",
+      "<lambdifygenerated-151774>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(S2)*_a0_/(relu(abs(fac(S1)))*sqrt(sin(S1)))\n",
+      "<lambdifygenerated-151789>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return S1**log(_a0_)\n",
+      "<lambdifygenerated-151791>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(-S1)**_a0_\n",
+      "<lambdifygenerated-151792>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(-S1)**_a0_\n",
+      " 76%|███████▋  | 1147/1500 [01:22<00:27, 12.95it/s]<lambdifygenerated-151821>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(sinh(_a0_**S1)**_a0_))\n",
+      "<lambdifygenerated-151822>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(sinh(_a0_**S1)**_a0_))\n",
+      "<lambdifygenerated-151823>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(sinh(_a0_**S1)**_a0_))\n",
+      "<lambdifygenerated-151826>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_**S2)**_a0_\n",
+      "<lambdifygenerated-151827>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_**S2)**_a0_\n",
+      "<lambdifygenerated-151837>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(log(-S2/(_a0_*relu(_a0_**S1))))\n",
+      "<lambdifygenerated-151837>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2/(_a0_*relu(_a0_**S1))))\n",
+      "<lambdifygenerated-151838>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(log(-S2/(_a0_*relu(_a0_**S1))))\n",
+      "<lambdifygenerated-151838>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2/(_a0_*relu(_a0_**S1))))\n",
+      "<lambdifygenerated-151839>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(log(-S2/(_a0_*relu(_a0_**S1))))\n",
+      "<lambdifygenerated-151839>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2/(_a0_*relu(_a0_**S1))))\n",
+      "<lambdifygenerated-151847>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt((S1 + _a0_)/_a0_)*exp(-S1)\n",
+      "<lambdifygenerated-151854>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(relu(exp(cos(S1 + exp(_a0_*exp(S1**S2))))))\n",
+      "<lambdifygenerated-151855>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(relu(exp(cos(S1 + exp(_a0_*exp(S1**S2))))))\n",
+      "<lambdifygenerated-151856>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(relu(exp(cos(S1 + exp(_a0_*exp(S1**S2))))))\n",
+      "<lambdifygenerated-151864>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return (_a0_**3)**(-_a0_)\n",
+      "<lambdifygenerated-151871>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(_a0_)**_a0_\n",
+      " 77%|███████▋  | 1149/1500 [01:23<00:26, 13.06it/s]<lambdifygenerated-151903>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return tan(S1)**(-_a0_)\n",
+      "<lambdifygenerated-151904>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return tan(S1)**(-_a0_)\n",
+      "<lambdifygenerated-151905>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu(sinh(_a0_**_a0_)**_a0_))\n",
+      "<lambdifygenerated-151906>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu(sinh(_a0_**_a0_)**_a0_))\n",
+      "<lambdifygenerated-151907>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu(sinh(_a0_**_a0_)**_a0_))\n",
+      "<lambdifygenerated-151936>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(relu(exp(cos(S1 + exp(_a0_*exp(relu(S1**S2)))))))\n",
+      "<lambdifygenerated-151937>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(relu(exp(cos(S1 + exp(_a0_*exp(relu(S1**S2)))))))\n",
+      "<lambdifygenerated-151938>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(relu(exp(cos(S1 + exp(_a0_*exp(relu(S1**S2)))))))\n",
+      " 77%|███████▋  | 1151/1500 [01:23<00:28, 12.25it/s]<lambdifygenerated-151983>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2 + _a0_)**(-_a0_)\n",
+      "<lambdifygenerated-151986>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return exp(-_a0_**S2/relu(S1))/S1\n",
+      "<lambdifygenerated-151986>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return exp(-_a0_**S2/relu(S1))/S1\n",
+      "<lambdifygenerated-151987>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return exp(-_a0_**S2/relu(S1))/S1\n",
+      "<lambdifygenerated-151987>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return exp(-_a0_**S2/relu(S1))/S1\n",
+      "<lambdifygenerated-151996>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-abs(_a0_)/relu(relu(S1))))\n",
+      "<lambdifygenerated-151997>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-abs(_a0_)/relu(relu(S1))))\n",
+      " 77%|███████▋  | 1153/1500 [01:23<00:29, 11.84it/s]<lambdifygenerated-152032>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2/(_a0_*relu(relu(_a0_)))))\n",
+      "<lambdifygenerated-152033>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2/(_a0_*relu(relu(_a0_)))))\n",
+      "<lambdifygenerated-152084>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(relu(exp(cos(S1 + exp(exp(relu(relu(S2)))*abs(S1))))))\n",
+      "<lambdifygenerated-152084>:2: RuntimeWarning: invalid value encountered in cos\n",
+      "  return relu(relu(exp(cos(S1 + exp(exp(relu(relu(S2)))*abs(S1))))))\n",
+      "<lambdifygenerated-152085>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(relu(exp(cos(S1 + exp(exp(relu(relu(S2)))*abs(S1))))))\n",
+      "<lambdifygenerated-152085>:2: RuntimeWarning: invalid value encountered in cos\n",
+      "  return relu(relu(exp(cos(S1 + exp(exp(relu(relu(S2)))*abs(S1))))))\n",
+      "<lambdifygenerated-152086>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(relu(exp(cos(S1 + exp(exp(relu(relu(S2)))*abs(S1))))))\n",
+      "<lambdifygenerated-152086>:2: RuntimeWarning: invalid value encountered in cos\n",
+      "  return relu(relu(exp(cos(S1 + exp(exp(relu(relu(S2)))*abs(S1))))))\n",
+      "<lambdifygenerated-152095>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return S1**(S1**S1)\n",
+      "<lambdifygenerated-152096>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return S1**(S1**S1)\n",
+      "<lambdifygenerated-152097>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_**S2)**_a0_\n",
+      "<lambdifygenerated-152098>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_**S2)**_a0_\n",
+      " 77%|███████▋  | 1155/1500 [01:23<00:28, 12.01it/s]<lambdifygenerated-152108>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(S2)*_a0_/(sqrt(-S1)*relu(abs(fac(S1))))\n",
+      "<lambdifygenerated-152109>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return (relu(relu(S2/relu(_a0_)))/relu(-S2))**sig(S1)\n",
+      "<lambdifygenerated-152110>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return (relu(relu(S2/relu(_a0_)))/relu(-S2))**sig(S1)\n",
+      "<lambdifygenerated-152111>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return (relu(relu(S2/relu(_a0_)))/relu(-S2))**sig(S1)\n",
+      " 77%|███████▋  | 1157/1500 [01:23<00:27, 12.39it/s]<lambdifygenerated-152168>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-1/relu(relu(S1))))\n",
+      "<lambdifygenerated-152184>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(sqrt(sig(log(S2**2))/relu(cos(S1))))\n",
+      "<lambdifygenerated-152185>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(sqrt(sig(log(S2**2))/relu(cos(S1))))\n",
+      "<lambdifygenerated-152186>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(sqrt(sig(log(S2**2))/relu(cos(S1))))\n",
+      "<lambdifygenerated-152201>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(_a0_/S2)**_a0_\n",
+      "<lambdifygenerated-152202>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(_a0_/S2)**_a0_\n",
+      "<lambdifygenerated-152206>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log(relu(S2)/relu(relu(S1 + _a0_)))\n",
+      " 77%|███████▋  | 1159/1500 [01:23<00:28, 12.00it/s]<lambdifygenerated-152244>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-1/relu(relu(S1))))\n",
+      "<lambdifygenerated-152272>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-152285>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return _a0_*relu(log(-S2/(_a0_*relu(relu(S1)))))\n",
+      "<lambdifygenerated-152295>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(relu(relu(S2/_a0_)/sqrt(log(S2)))))\n",
+      "<lambdifygenerated-152296>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(relu(relu(S2/_a0_)/sqrt(log(S2)))))\n",
+      "<lambdifygenerated-152297>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(relu(relu(S2/_a0_)/sqrt(log(S2)))))\n",
+      "<lambdifygenerated-152305>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(relu(exp(cos(S1 + exp(S2*exp(relu(relu(S2))))))))\n",
+      "<lambdifygenerated-152305>:2: RuntimeWarning: invalid value encountered in cos\n",
+      "  return relu(relu(exp(cos(S1 + exp(S2*exp(relu(relu(S2))))))))\n",
+      "<lambdifygenerated-152306>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(relu(exp(cos(S1 + exp(S2*exp(relu(relu(S2))))))))\n",
+      "<lambdifygenerated-152306>:2: RuntimeWarning: invalid value encountered in cos\n",
+      "  return relu(relu(exp(cos(S1 + exp(S2*exp(relu(relu(S2))))))))\n",
+      "<lambdifygenerated-152307>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu(_a0_**_a0_))\n",
+      "<lambdifygenerated-152308>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu(_a0_**_a0_))\n",
+      "<lambdifygenerated-152312>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return exp(-sig(_a0_)/relu(S1*_a0_))/relu(S1)\n",
+      "<lambdifygenerated-152313>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return exp(-sig(_a0_)/relu(S1*_a0_))/relu(S1)\n",
+      "<lambdifygenerated-152314>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return exp(-sig(_a0_)/relu(S1*_a0_))/relu(S1)\n",
+      "<lambdifygenerated-152318>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(_a0_**S1)**_a0_\n",
+      "<lambdifygenerated-152318>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(_a0_**S1)**_a0_\n",
+      "<lambdifygenerated-152319>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(_a0_**S1)**_a0_\n",
+      "<lambdifygenerated-152319>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(_a0_**S1)**_a0_\n",
+      " 77%|███████▋  | 1161/1500 [01:24<00:28, 11.94it/s]<lambdifygenerated-152325>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(S2**3/(_a0_**3*relu(relu(S1))**3)))\n",
+      "<lambdifygenerated-152326>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(S2**3/(_a0_**3*relu(relu(S1))**3)))\n",
+      "<lambdifygenerated-152351>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(sinh(S1*_a0_)**_a0_))\n",
+      "<lambdifygenerated-152352>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(sinh(S1*_a0_)**_a0_))\n",
+      "<lambdifygenerated-152353>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(sinh(S1*_a0_)**_a0_))\n",
+      "<lambdifygenerated-152359>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S2/relu(relu(S1)))\n",
+      "<lambdifygenerated-152360>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S2/relu(relu(S1)))\n",
+      "<lambdifygenerated-152362>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2/(_a0_*cosh(relu(S1)))))\n",
+      "<lambdifygenerated-152370>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return (relu(relu(S2/relu(_a0_)))/relu(S1))**(S2**S2)\n",
+      "<lambdifygenerated-152371>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return (relu(relu(S2/relu(_a0_)))/relu(S1))**(S2**S2)\n",
+      "<lambdifygenerated-152372>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return (relu(relu(S2/relu(_a0_)))/relu(S1))**(S2**S2)\n",
+      "<lambdifygenerated-152379>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sqrt(sig(log(S2**2))/sin(S1)))\n",
+      "<lambdifygenerated-152380>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sqrt(sig(log(S2**2))/sin(S1)))\n",
+      " 78%|███████▊  | 1163/1500 [01:24<00:27, 12.08it/s]<lambdifygenerated-152413>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(relu(exp(cos(S1 + exp(_a0_*exp(relu(relu(2*S2))))))))\n",
+      "<lambdifygenerated-152413>:2: RuntimeWarning: invalid value encountered in cos\n",
+      "  return relu(relu(exp(cos(S1 + exp(_a0_*exp(relu(relu(2*S2))))))))\n",
+      " 78%|███████▊  | 1165/1500 [01:24<00:26, 12.56it/s]<lambdifygenerated-152464>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(sinh(S2/(_a0_*relu(relu(S1))))))\n",
+      "<lambdifygenerated-152465>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(sinh(S2/(_a0_*relu(relu(S1))))))\n",
+      "<lambdifygenerated-152486>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S2*_a0_)**(-_a0_)\n",
+      "<lambdifygenerated-152489>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu(_a0_**_a0_))\n",
+      "<lambdifygenerated-152490>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu(_a0_**_a0_))\n",
+      "<lambdifygenerated-152493>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      " 78%|███████▊  | 1167/1500 [01:24<00:25, 12.94it/s]<lambdifygenerated-152560>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return cos(S2)**_a0_\n",
+      "<lambdifygenerated-152561>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return cos(S2)**_a0_\n",
+      "<lambdifygenerated-152562>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(_a0_))**_a0_\n",
+      "<lambdifygenerated-152563>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(_a0_))**_a0_\n",
+      "<lambdifygenerated-152583>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(relu(exp(cos(S1 + exp(_a0_*exp(relu(sinh(S2))))))))\n",
+      "<lambdifygenerated-152583>:2: RuntimeWarning: invalid value encountered in cos\n",
+      "  return relu(relu(exp(cos(S1 + exp(_a0_*exp(relu(sinh(S2))))))))\n",
+      "<lambdifygenerated-152586>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(_a0_**S1)**(-_a0_)\n",
+      "<lambdifygenerated-152595>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(_a0_**S1)**_a0_\n",
+      "<lambdifygenerated-152595>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(_a0_**S1)**_a0_\n",
+      "<lambdifygenerated-152596>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(_a0_**S1)**_a0_\n",
+      "<lambdifygenerated-152596>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(_a0_**S1)**_a0_\n",
+      " 78%|███████▊  | 1171/1500 [01:24<00:24, 13.37it/s]<lambdifygenerated-152676>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2/(_a0_*relu(relu(tan(S1))))))\n",
+      "<lambdifygenerated-152677>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2/(_a0_*relu(relu(tan(S1))))))\n",
+      "<lambdifygenerated-152678>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2/(_a0_*relu(relu(tan(S1))))))\n",
+      "<lambdifygenerated-152684>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return (relu(relu(S2/relu(_a0_)))/relu(S2))**sig(S1)\n",
+      " 78%|███████▊  | 1173/1500 [01:24<00:24, 13.15it/s]<lambdifygenerated-152764>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return (relu(relu(S2/relu(_a0_)))/relu(exp(S1)))**sig(S1)\n",
+      "<lambdifygenerated-152773>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(sqrt(sig(log(S2*(S2 + _a0_)))/relu(S1)))\n",
+      "<lambdifygenerated-152779>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_/S1)**_a0_\n",
+      "<lambdifygenerated-152780>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_/S1)**_a0_\n",
+      " 78%|███████▊  | 1175/1500 [01:25<00:24, 13.31it/s]<lambdifygenerated-152832>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-fac(S1)/relu(relu(S1))))\n",
+      "<lambdifygenerated-152833>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-fac(S1)/relu(relu(S1))))\n",
+      "<lambdifygenerated-152834>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-fac(S1)/relu(relu(S1))))\n",
+      "<lambdifygenerated-152877>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return (relu(relu(S2/relu(_a0_)))/relu(S2 + _a0_))**sig(S1)\n",
+      "<lambdifygenerated-152884>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-S1/_a0_)*exp(-S1)\n",
+      "<lambdifygenerated-152885>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-S1/_a0_)*exp(-S1)\n",
+      "<lambdifygenerated-152891>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return tan(S1)**_a0_\n",
+      "<lambdifygenerated-152892>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return relu(relu(sinh(S2**S2)**_a0_))\n",
+      "<lambdifygenerated-152893>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return relu(relu(sinh(S2**S2)**_a0_))\n",
+      "<lambdifygenerated-152894>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return relu(relu(sinh(S2**S2)**_a0_))\n",
+      "<lambdifygenerated-152899>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return S1**(sqrt(_a0_))\n",
+      "<lambdifygenerated-152900>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return S1**(sqrt(_a0_))\n",
+      " 78%|███████▊  | 1177/1500 [01:25<00:24, 13.08it/s]<lambdifygenerated-152905>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(S2/sin(S1))\n",
+      "<lambdifygenerated-152906>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(S2/sin(S1))\n",
+      "<lambdifygenerated-152934>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu(_a0_**_a0_))\n",
+      "<lambdifygenerated-152935>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu(_a0_**_a0_))\n",
+      "<lambdifygenerated-152943>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-(S2 + _a0_)/relu(relu(S1))))\n",
+      " 79%|███████▊  | 1179/1500 [01:25<00:24, 13.10it/s]<lambdifygenerated-152985>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(_a0_**3)**_a0_/(_a0_ + relu(S1)))\n",
+      "<lambdifygenerated-153011>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2/(_a0_*tan(relu(S1)))))\n",
+      "<lambdifygenerated-153037>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_/S2)**_a0_\n",
+      "<lambdifygenerated-153038>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_/S2)**_a0_\n",
+      " 79%|███████▊  | 1181/1500 [01:25<00:23, 13.34it/s]<lambdifygenerated-153065>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(relu(exp(cos(S1 + exp(S2**S1*exp(relu(relu(S2))))))))\n",
+      "<lambdifygenerated-153065>:2: RuntimeWarning: invalid value encountered in cos\n",
+      "  return relu(relu(exp(cos(S1 + exp(S2**S1*exp(relu(relu(S2))))))))\n",
+      "<lambdifygenerated-153066>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(relu(exp(cos(S1 + exp(S2**S1*exp(relu(relu(S2))))))))\n",
+      "<lambdifygenerated-153066>:2: RuntimeWarning: invalid value encountered in cos\n",
+      "  return relu(relu(exp(cos(S1 + exp(S2**S1*exp(relu(relu(S2))))))))\n",
+      "<lambdifygenerated-153067>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(relu(exp(cos(S1 + exp(S2**S1*exp(relu(relu(S2))))))))\n",
+      "<lambdifygenerated-153067>:2: RuntimeWarning: invalid value encountered in cos\n",
+      "  return relu(relu(exp(cos(S1 + exp(S2**S1*exp(relu(relu(S2))))))))\n",
+      "<lambdifygenerated-153070>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sinh(log(_a0_))**_a0_\n",
+      "<lambdifygenerated-153071>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sinh(log(_a0_))**_a0_\n",
+      "<lambdifygenerated-153076>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return (2*_a0_)**_a0_\n",
+      "<lambdifygenerated-153077>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return (2*_a0_)**_a0_\n",
+      "<lambdifygenerated-153111>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return sinh(S1**S1)**_a0_\n",
+      "<lambdifygenerated-153112>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return sinh(S1**S1)**_a0_\n",
+      "<lambdifygenerated-153115>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(relu((sinh(S1)**2)**(S1**S1)))\n",
+      "<lambdifygenerated-153116>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(relu((sinh(S1)**2)**(S1**S1)))\n",
+      " 79%|███████▉  | 1183/1500 [01:25<00:23, 13.41it/s]<lambdifygenerated-153128>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return _a0_*sqrt(log(_a0_))/(sqrt(tanh(S1))*abs(relu(fac(S1))))\n",
+      "<lambdifygenerated-153129>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return _a0_*sqrt(log(_a0_))/(sqrt(tanh(S1))*abs(relu(fac(S1))))\n",
+      "<lambdifygenerated-153130>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return _a0_*sqrt(log(_a0_))/(sqrt(tanh(S1))*abs(relu(fac(S1))))\n",
+      "<lambdifygenerated-153131>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return (relu(relu(S2/relu(_a0_)))/relu(S2*_a0_))**sig(S1)\n",
+      "<lambdifygenerated-153150>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(S1)**(_a0_**S2)\n",
+      "<lambdifygenerated-153151>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(S1)**(_a0_**S2)\n",
+      "<lambdifygenerated-153152>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(S1)**(_a0_**S2)\n",
+      "<lambdifygenerated-153155>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return exp(-log(_a0_)/S1)/relu(S1)\n",
+      "<lambdifygenerated-153156>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return exp(-log(_a0_)/S1)/relu(S1)\n",
+      "<lambdifygenerated-153165>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(sinh(_a0_))**_a0_\n",
+      "<lambdifygenerated-153169>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2/(_a0_*sin(relu(S1)))))\n",
+      "<lambdifygenerated-153170>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2/(_a0_*sin(relu(S1)))))\n",
+      "<lambdifygenerated-153177>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2/_a0_ + sin((2*S1 + sin(S1) + tan(S2))**_a0_))*exp(-S1)\n",
+      "<lambdifygenerated-153178>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2/_a0_ + sin((2*S1 + sin(S1) + tan(S2))**_a0_))*exp(-S1)\n",
+      "<lambdifygenerated-153179>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2/_a0_ + sin((2*S1 + sin(S1) + tan(S2))**_a0_))*exp(-S1)\n",
+      " 79%|███████▉  | 1185/1500 [01:25<00:24, 13.07it/s]<lambdifygenerated-153205>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log(relu(S2)/relu(relu(cos(S2))))\n",
+      "<lambdifygenerated-153206>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log(relu(S2)/relu(relu(cos(S2))))\n",
+      "<lambdifygenerated-153207>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-tan(S2)/relu(relu(S1))))\n",
+      "<lambdifygenerated-153208>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-tan(S2)/relu(relu(S1))))\n",
+      "<lambdifygenerated-153209>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-tan(S2)/relu(relu(S1))))\n",
+      "<lambdifygenerated-153235>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(relu(exp(cos(S1 + exp(_a0_*exp(cosh(relu(S2))))))))\n",
+      "<lambdifygenerated-153235>:2: RuntimeWarning: invalid value encountered in cos\n",
+      "  return relu(relu(exp(cos(S1 + exp(_a0_*exp(cosh(relu(S2))))))))\n",
+      "<lambdifygenerated-153244>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(relu(sin(S2))/relu(relu(S1)))\n",
+      "<lambdifygenerated-153245>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(relu(sin(S2))/relu(relu(S1)))\n",
+      "<lambdifygenerated-153246>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(relu(sin(S2))/relu(relu(S1)))\n",
+      "<lambdifygenerated-153263>:2: RuntimeWarning: divide by zero encountered in scalar divide\n",
+      "  return exp(-sig(_a0_)/relu(_a0_))/relu(S1)\n",
+      "<lambdifygenerated-153264>:2: RuntimeWarning: divide by zero encountered in scalar divide\n",
+      "  return exp(-sig(_a0_)/relu(_a0_))/relu(S1)\n",
+      "<lambdifygenerated-153265>:2: RuntimeWarning: divide by zero encountered in scalar divide\n",
+      "  return exp(-sig(_a0_)/relu(_a0_))/relu(S1)\n",
+      " 79%|███████▉  | 1187/1500 [01:26<00:24, 12.92it/s]<lambdifygenerated-153274>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(cos(S1))\n",
+      "<lambdifygenerated-153275>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(cos(S1))\n",
+      "<lambdifygenerated-153276>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-(S2 + _a0_)/(_a0_*relu(relu(S1)))))\n",
+      "<lambdifygenerated-153277>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-(S2 + _a0_)/(_a0_*relu(relu(S1)))))\n",
+      "<lambdifygenerated-153278>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-(S2 + _a0_)/(_a0_*relu(relu(S1)))))\n",
+      "<lambdifygenerated-153279>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(relu(S2)/sin(relu(S1)))\n",
+      "<lambdifygenerated-153280>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(relu(S2)/sin(relu(S1)))\n",
+      "<lambdifygenerated-153300>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return exp(-sig(_a0_)/S1)/relu(cos(S1))\n",
+      "<lambdifygenerated-153301>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return exp(-sig(_a0_)/S1)/relu(cos(S1))\n",
+      "<lambdifygenerated-153302>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return exp(-sig(_a0_)/S1)/relu(cos(S1))\n",
+      "<lambdifygenerated-153307>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(_a0_/S2)**_a0_\n",
+      "<lambdifygenerated-153308>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(_a0_/S2)**_a0_\n",
+      "<lambdifygenerated-153340>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(S1*_a0_)**_a0_\n",
+      "<lambdifygenerated-153341>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(S1*_a0_)**_a0_\n",
+      "<lambdifygenerated-153342>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu((_a0_**(2*_a0_))**_a0_))\n",
+      "<lambdifygenerated-153343>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu((_a0_**(2*_a0_))**_a0_))\n",
+      "<lambdifygenerated-153344>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu((_a0_**(2*_a0_))**_a0_))\n",
+      " 79%|███████▉  | 1189/1500 [01:26<00:23, 13.42it/s]<lambdifygenerated-153347>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2/(_a0_*log(relu(S1)))))\n",
+      "<lambdifygenerated-153348>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2/(_a0_*log(relu(S1)))))\n",
+      "<lambdifygenerated-153370>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(_a0_)**_a0_\n",
+      "<lambdifygenerated-153372>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return exp(-_a0_**_a0_/S1)/relu(S1)\n",
+      "<lambdifygenerated-153373>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return exp(-_a0_**_a0_/S1)/relu(S1)\n",
+      "<lambdifygenerated-153374>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return exp(-_a0_**_a0_/S1)/relu(S1)\n",
+      "<lambdifygenerated-153385>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2/(_a0_*relu(cosh(S1)))))\n",
+      "<lambdifygenerated-153409>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(sinh(cos(S1))**_a0_))\n",
+      "<lambdifygenerated-153410>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(sinh(cos(S1))**_a0_))\n",
+      "<lambdifygenerated-153411>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(sinh(cos(S1))**_a0_))\n",
+      "<lambdifygenerated-153422>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(sinh(_a0_))**_a0_\n",
+      "<lambdifygenerated-153423>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu((sinh(_a0_**_a0_)**2)**_a0_))\n",
+      "<lambdifygenerated-153424>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu((sinh(_a0_**_a0_)**2)**_a0_))\n",
+      "<lambdifygenerated-153425>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu((sinh(_a0_**_a0_)**2)**_a0_))\n",
+      " 79%|███████▉  | 1191/1500 [01:26<00:24, 12.72it/s]<lambdifygenerated-153426>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2/(_a0_**2*relu(relu(S1)))))\n",
+      "<lambdifygenerated-153427>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2/(_a0_**2*relu(relu(S1)))))\n",
+      "<lambdifygenerated-153428>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2/(_a0_**2*relu(relu(S1)))))\n",
+      " 80%|███████▉  | 1193/1500 [01:26<00:23, 12.88it/s]<lambdifygenerated-153528>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sqrt(sig(log(tan(S2)))/relu(S1))\n",
+      "<lambdifygenerated-153529>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sqrt(sig(log(tan(S2)))/relu(S1))\n",
+      "<lambdifygenerated-153530>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sqrt(sig(log(tan(S2)))/relu(S1))\n",
+      "<lambdifygenerated-153549>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(_a0_)**_a0_\n",
+      "<lambdifygenerated-153550>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(_a0_)**_a0_\n",
+      "<lambdifygenerated-153559>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2/_a0_ + sin((2*S1 + S2 + log(S1))**_a0_))*exp(-S1)\n",
+      "<lambdifygenerated-153560>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2/_a0_ + sin((2*S1 + S2 + log(S1))**_a0_))*exp(-S1)\n",
+      "<lambdifygenerated-153590>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(tan(S1))**_a0_\n",
+      "<lambdifygenerated-153591>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return relu(relu((sinh(S1**S1)**2)**_a0_))\n",
+      "<lambdifygenerated-153591>:2: RuntimeWarning: overflow encountered in square\n",
+      "  return relu(relu((sinh(S1**S1)**2)**_a0_))\n",
+      "<lambdifygenerated-153592>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return relu(relu((sinh(S1**S1)**2)**_a0_))\n",
+      "<lambdifygenerated-153592>:2: RuntimeWarning: overflow encountered in square\n",
+      "  return relu(relu((sinh(S1**S1)**2)**_a0_))\n",
+      "<lambdifygenerated-153593>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return relu(relu((sinh(S1**S1)**2)**_a0_))\n",
+      "<lambdifygenerated-153593>:2: RuntimeWarning: overflow encountered in square\n",
+      "  return relu(relu((sinh(S1**S1)**2)**_a0_))\n",
+      " 80%|███████▉  | 1195/1500 [01:26<00:25, 12.11it/s]<lambdifygenerated-153594>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2/(_a0_*relu(S1*_a0_))))\n",
+      "<lambdifygenerated-153595>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2/(_a0_*relu(S1*_a0_))))\n",
+      "<lambdifygenerated-153596>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2/(_a0_*relu(S1*_a0_))))\n",
+      "<lambdifygenerated-153629>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(log(S1))**_a0_\n",
+      "<lambdifygenerated-153631>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2/(_a0_*relu(_a0_))))\n",
+      "<lambdifygenerated-153632>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2/(_a0_*relu(_a0_))))\n",
+      "<lambdifygenerated-153634>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(relu(log(_a0_))/relu(relu(S1)))\n",
+      "<lambdifygenerated-153635>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(relu(log(_a0_))/relu(relu(S1)))\n",
+      "<lambdifygenerated-153636>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(relu(log(_a0_))/relu(relu(S1)))\n",
+      "<lambdifygenerated-153641>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return (relu(relu(S2/relu(-S1)))/relu(S1))**sig(S1)\n",
+      "<lambdifygenerated-153642>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return (relu(relu(S2/relu(-S1)))/relu(S1))**sig(S1)\n",
+      "<lambdifygenerated-153643>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return (relu(relu(S2/relu(-S1)))/relu(S1))**sig(S1)\n",
+      "<lambdifygenerated-153646>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(relu(relu(S2/_a0_)/sqrt(-S2))))\n",
+      "<lambdifygenerated-153647>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(relu(relu(S2/_a0_)/sqrt(-S2))))\n",
+      "<lambdifygenerated-153648>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(relu(relu(S2/_a0_)/sqrt(-S2))))\n",
+      "<lambdifygenerated-153657>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sqrt(_a0_))**_a0_\n",
+      "<lambdifygenerated-153658>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sqrt(_a0_))**_a0_\n",
+      "<lambdifygenerated-153659>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sqrt(_a0_))**_a0_\n",
+      " 80%|███████▉  | 1199/1500 [01:26<00:22, 13.14it/s]<lambdifygenerated-153744>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(S2)*_a0_/(sqrt(tanh(log(S1)))*abs(relu(fac(S1))))\n",
+      "<lambdifygenerated-153745>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(S2)*_a0_/(sqrt(tanh(log(S1)))*abs(relu(fac(S1))))\n",
+      "<lambdifygenerated-153746>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(S2)*_a0_/(sqrt(tanh(log(S1)))*abs(relu(fac(S1))))\n",
+      "<lambdifygenerated-153748>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(cos(S2)**_a0_/(_a0_ + relu(S1)))\n",
+      "<lambdifygenerated-153749>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(cos(S2)**_a0_/(_a0_ + relu(S1)))\n",
+      "<lambdifygenerated-153785>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(cos(S2)**_a0_/(_a0_ + relu(S1)))\n",
+      "<lambdifygenerated-153792>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_**S1)**_a0_\n",
+      "<lambdifygenerated-153793>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_**S1)**_a0_\n",
+      "<lambdifygenerated-153798>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return (_a0_**_a0_)**_a0_\n",
+      "<lambdifygenerated-153799>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return (_a0_**_a0_)**_a0_\n",
+      " 80%|████████  | 1201/1500 [01:27<00:22, 13.29it/s]<lambdifygenerated-153815>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return sqrt(S2)*_a0_/(sqrt(tanh(S1))*abs(relu(_a0_)))\n",
+      "<lambdifygenerated-153815>:2: RuntimeWarning: invalid value encountered in divide\n",
+      "  return sqrt(S2)*_a0_/(sqrt(tanh(S1))*abs(relu(_a0_)))\n",
+      "<lambdifygenerated-153837>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return exp(-sig(_a0_)/S1)/relu(S2 + _a0_)\n",
+      "<lambdifygenerated-153838>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return exp(-sig(_a0_)/S1)/relu(S2 + _a0_)\n",
+      "<lambdifygenerated-153839>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return exp(-sig(_a0_)/S1)/relu(S2 + _a0_)\n",
+      "<lambdifygenerated-153842>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return fac(_a0_)**_a0_\n",
+      "<lambdifygenerated-153843>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return fac(_a0_)**_a0_\n",
+      "<lambdifygenerated-153881>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(_a0_)**_a0_\n",
+      "<lambdifygenerated-153885>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      " 80%|████████  | 1203/1500 [01:27<00:23, 12.43it/s]<lambdifygenerated-153924>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_/S1)**_a0_\n",
+      "<lambdifygenerated-153925>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_/S1)**_a0_\n",
+      "<lambdifygenerated-153935>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu((_a0_**(2*S1))**_a0_))\n",
+      "<lambdifygenerated-153936>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu((_a0_**(2*S1))**_a0_))\n",
+      "<lambdifygenerated-153939>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S1**2/relu(relu(S1))))\n",
+      "<lambdifygenerated-153940>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S1**2/relu(relu(S1))))\n",
+      "<lambdifygenerated-153941>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S1**2/relu(relu(S1))))\n",
+      "<lambdifygenerated-153967>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(log(S1))**_a0_\n",
+      "<lambdifygenerated-153968>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(log(S1))**_a0_\n",
+      " 80%|████████  | 1205/1500 [01:27<00:24, 11.95it/s]<lambdifygenerated-154023>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu((sinh(sqrt(_a0_))**2)**_a0_))\n",
+      "<lambdifygenerated-154024>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu((sinh(sqrt(_a0_))**2)**_a0_))\n",
+      "<lambdifygenerated-154025>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu((sinh(sqrt(_a0_))**2)**_a0_))\n",
+      "<lambdifygenerated-154042>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*relu(_a0_**S2)**relu(S1)))\n",
+      "<lambdifygenerated-154043>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*relu(_a0_**S2)**relu(S1)))\n",
+      "<lambdifygenerated-154044>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*relu(_a0_**S2)**relu(S1)))\n",
+      " 80%|████████  | 1207/1500 [01:27<00:24, 11.93it/s]<lambdifygenerated-154063>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2*exp(-relu(S1))/_a0_))\n",
+      "<lambdifygenerated-154084>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu((S1/_a0_)**_a0_))\n",
+      "<lambdifygenerated-154085>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu((S1/_a0_)**_a0_))\n",
+      "<lambdifygenerated-154086>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu((S1/_a0_)**_a0_))\n",
+      "<lambdifygenerated-154090>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-154116>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(S2/_a0_)*exp(-cosh(S1))\n",
+      "<lambdifygenerated-154119>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(relu(relu(S2/_a0_)/sqrt(tan(_a0_)))))\n",
+      "<lambdifygenerated-154120>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(relu(relu(S2/_a0_)/sqrt(tan(_a0_)))))\n",
+      "<lambdifygenerated-154121>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(relu(relu(S2/_a0_)/sqrt(tan(_a0_)))))\n",
+      "<lambdifygenerated-154132>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(_a0_/S1)**_a0_\n",
+      "<lambdifygenerated-154133>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(_a0_/S1)**_a0_\n",
+      " 81%|████████  | 1209/1500 [01:27<00:23, 12.14it/s]<lambdifygenerated-154171>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(S1 + _a0_)**_a0_\n",
+      "<lambdifygenerated-154172>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(S1 + _a0_)**_a0_\n",
+      "<lambdifygenerated-154178>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(relu(exp(cos(S1 + exp(relu(relu(S2))**2*cosh(S2))))))\n",
+      "<lambdifygenerated-154178>:2: RuntimeWarning: invalid value encountered in cos\n",
+      "  return relu(relu(exp(cos(S1 + exp(relu(relu(S2))**2*cosh(S2))))))\n",
+      "<lambdifygenerated-154179>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(relu(exp(cos(S1 + exp(relu(relu(S2))**2*cosh(S2))))))\n",
+      "<lambdifygenerated-154179>:2: RuntimeWarning: invalid value encountered in cos\n",
+      "  return relu(relu(exp(cos(S1 + exp(relu(relu(S2))**2*cosh(S2))))))\n",
+      "<lambdifygenerated-154180>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(relu(exp(cos(S1 + exp(relu(relu(S2))**2*cosh(S2))))))\n",
+      "<lambdifygenerated-154180>:2: RuntimeWarning: invalid value encountered in cos\n",
+      "  return relu(relu(exp(cos(S1 + exp(relu(relu(S2))**2*cosh(S2))))))\n",
+      "<lambdifygenerated-154218>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-154227>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(_a0_)**_a0_\n",
+      "<lambdifygenerated-154228>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(_a0_)**_a0_\n",
+      " 81%|████████  | 1211/1500 [01:28<00:24, 11.80it/s]<lambdifygenerated-154270>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu((sinh(relu(_a0_))**2)**_a0_))\n",
+      "<lambdifygenerated-154271>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu((sinh(relu(_a0_))**2)**_a0_))\n",
+      "<lambdifygenerated-154276>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(relu(cos(S1))/relu(relu(S1)))\n",
+      "<lambdifygenerated-154277>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(relu(cos(S1))/relu(relu(S1)))\n",
+      "<lambdifygenerated-154278>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(relu(cos(S1))/relu(relu(S1)))\n",
+      "<lambdifygenerated-154302>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu(sinh(_a0_)**_a0_))\n",
+      "<lambdifygenerated-154303>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu(sinh(_a0_)**_a0_))\n",
+      "<lambdifygenerated-154304>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return _a0_**(-_a0_)*exp(-sig(_a0_)/S1)\n",
+      "<lambdifygenerated-154305>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return _a0_**(-_a0_)*exp(-sig(_a0_)/S1)\n",
+      " 81%|████████  | 1213/1500 [01:28<00:24, 11.78it/s]<lambdifygenerated-154324>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return (relu(relu(S2/relu(cos(S2))))/relu(S1))**sig(S1)\n",
+      "<lambdifygenerated-154325>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return (relu(relu(S2/relu(cos(S2))))/relu(S1))**sig(S1)\n",
+      "<lambdifygenerated-154326>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return (relu(relu(S2/relu(cos(S2))))/relu(S1))**sig(S1)\n",
+      "<lambdifygenerated-154340>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu((_a0_**_a0_)**_a0_))\n",
+      "<lambdifygenerated-154341>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu((_a0_**_a0_)**_a0_))\n",
+      "<lambdifygenerated-154342>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu((_a0_**_a0_)**_a0_))\n",
+      "<lambdifygenerated-154343>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return exp(-_a0_/S1**2)/relu(S1)\n",
+      "<lambdifygenerated-154344>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return exp(-_a0_/S1**2)/relu(S1)\n",
+      "<lambdifygenerated-154345>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return exp(-_a0_/S1**2)/relu(S1)\n",
+      "<lambdifygenerated-154354>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu((sinh(relu(tan(S1)))**2)**_a0_))\n",
+      "<lambdifygenerated-154355>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu((sinh(relu(tan(S1)))**2)**_a0_))\n",
+      "<lambdifygenerated-154356>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu((sinh(relu(tan(S1)))**2)**_a0_))\n",
+      "<lambdifygenerated-154357>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2**2*_a0_/relu(relu(S1))))\n",
+      "<lambdifygenerated-154374>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(relu(relu(S2/_a0_)/sqrt(-S1))))\n",
+      "<lambdifygenerated-154375>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(relu(relu(S2/_a0_)/sqrt(-S1))))\n",
+      "<lambdifygenerated-154376>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(relu(relu(S2/_a0_)/sqrt(-S1))))\n",
+      "<lambdifygenerated-154385>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu(_a0_**_a0_))\n",
+      "<lambdifygenerated-154386>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu(_a0_**_a0_))\n",
+      "<lambdifygenerated-154395>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(sinh(_a0_))**_a0_\n",
+      " 81%|████████  | 1215/1500 [01:28<00:24, 11.87it/s]<lambdifygenerated-154433>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(_a0_/S1)**_a0_\n",
+      "<lambdifygenerated-154434>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(_a0_/S1)**_a0_\n",
+      " 81%|████████  | 1217/1500 [01:28<00:23, 12.04it/s]<lambdifygenerated-154470>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2*_a0_/relu(relu(_a0_))))\n",
+      "<lambdifygenerated-154471>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2*_a0_/relu(relu(_a0_))))\n",
+      "<lambdifygenerated-154515>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2*_a0_*relu(relu(S1))))\n",
+      "<lambdifygenerated-154519>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(relu(log(_a0_))/relu(relu(S1)))\n",
+      "<lambdifygenerated-154520>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(relu(log(_a0_))/relu(relu(S1)))\n",
+      "<lambdifygenerated-154526>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return (relu(relu(S2/relu(_a0_)))/(S2*_a0_))**sig(S1)\n",
+      "<lambdifygenerated-154549>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(_a0_)**_a0_\n",
+      "<lambdifygenerated-154550>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(_a0_)**_a0_\n",
+      " 81%|████████▏ | 1219/1500 [01:28<00:23, 12.10it/s]<lambdifygenerated-154585>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(-S1)**_a0_\n",
+      "<lambdifygenerated-154617>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(cos(S1)**_a0_))\n",
+      "<lambdifygenerated-154618>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(cos(S1)**_a0_))\n",
+      " 81%|████████▏ | 1221/1500 [01:28<00:23, 12.10it/s]<lambdifygenerated-154647>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*relu(sig(_a0_))**(_a0_**S2)))\n",
+      "<lambdifygenerated-154648>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*relu(sig(_a0_))**(_a0_**S2)))\n",
+      "<lambdifygenerated-154653>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu(sinh(S1)**(_a0_**_a0_)))\n",
+      "<lambdifygenerated-154654>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu(sinh(S1)**(_a0_**_a0_)))\n",
+      "<lambdifygenerated-154655>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu(sinh(S1)**(_a0_**_a0_)))\n",
+      "<lambdifygenerated-154663>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(log(S1)))**_a0_\n",
+      "<lambdifygenerated-154664>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sinh(log(S1)))**_a0_\n",
+      "<lambdifygenerated-154687>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return (2*_a0_)**_a0_\n",
+      "<lambdifygenerated-154688>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return (2*_a0_)**_a0_\n",
+      "<lambdifygenerated-154698>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(sinh(S1))**(S1**S2)\n",
+      "<lambdifygenerated-154699>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(sinh(S1))**(S1**S2)\n",
+      "<lambdifygenerated-154700>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu((sinh(relu(_a0_**_a0_))**2)**_a0_))\n",
+      "<lambdifygenerated-154701>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu((sinh(relu(_a0_**_a0_))**2)**_a0_))\n",
+      "<lambdifygenerated-154702>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu((sinh(relu(_a0_**_a0_))**2)**_a0_))\n",
+      " 82%|████████▏ | 1223/1500 [01:28<00:22, 12.22it/s]<lambdifygenerated-154737>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return tan(S1)**_a0_\n",
+      " 82%|████████▏ | 1225/1500 [01:29<00:22, 11.98it/s]<lambdifygenerated-154839>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(sinh(tan(_a0_)))**_a0_\n",
+      "<lambdifygenerated-154840>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(sinh(tan(_a0_)))**_a0_\n",
+      "<lambdifygenerated-154841>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(sinh(tan(_a0_)))**_a0_\n",
+      "<lambdifygenerated-154844>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S1/_a0_)**_a0_\n",
+      "<lambdifygenerated-154845>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S1/_a0_)**_a0_\n",
+      " 82%|████████▏ | 1227/1500 [01:29<00:25, 10.69it/s]<lambdifygenerated-154849>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return -log(-S2*_a0_/relu(relu(S1)))\n",
+      "<lambdifygenerated-154860>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sqrt(sig(log(-_a0_))/sinh(S1))\n",
+      "<lambdifygenerated-154861>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sqrt(sig(log(-_a0_))/sinh(S1))\n",
+      "<lambdifygenerated-154862>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sqrt(sig(log(-_a0_))/sinh(S1))\n",
+      "<lambdifygenerated-154883>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S1/relu(relu(S1))))\n",
+      "<lambdifygenerated-154884>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S1/relu(relu(S1))))\n",
+      "<lambdifygenerated-154887>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return (relu(relu(S2/relu(_a0_)))/relu(S1*S2))**sig(S1)\n",
+      "<lambdifygenerated-154893>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(_a0_)**_a0_/(_a0_ + relu(S1)))\n",
+      "<lambdifygenerated-154909>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu(sinh(sin(_a0_))**_a0_))\n",
+      "<lambdifygenerated-154910>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu(sinh(sin(_a0_))**_a0_))\n",
+      "<lambdifygenerated-154911>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu(sinh(sin(_a0_))**_a0_))\n",
+      " 82%|████████▏ | 1229/1500 [01:29<00:24, 11.07it/s]<lambdifygenerated-154947>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S1*_a0_)**_a0_\n",
+      "<lambdifygenerated-154948>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S1*_a0_)**_a0_\n",
+      "<lambdifygenerated-154984>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sinh(S1)**(sqrt(_a0_))\n",
+      "<lambdifygenerated-154985>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sinh(S1)**(sqrt(_a0_))\n",
+      "<lambdifygenerated-154994>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(S2 + _a0_)**_a0_\n",
+      "<lambdifygenerated-154995>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(S2 + _a0_)**_a0_\n",
+      " 82%|████████▏ | 1231/1500 [01:29<00:23, 11.30it/s]<lambdifygenerated-155071>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu((sinh(relu(S2/_a0_))**2)**_a0_))\n",
+      "<lambdifygenerated-155072>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu((sinh(relu(S2/_a0_))**2)**_a0_))\n",
+      "<lambdifygenerated-155073>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu((sinh(relu(S2/_a0_))**2)**_a0_))\n",
+      " 82%|████████▏ | 1233/1500 [01:29<00:24, 11.08it/s]<lambdifygenerated-155080>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2*_a0_/relu(S1*_a0_)))\n",
+      "<lambdifygenerated-155081>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2*_a0_/relu(S1*_a0_)))\n",
+      "<lambdifygenerated-155082>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2*_a0_/relu(S1*_a0_)))\n",
+      "<lambdifygenerated-155106>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu((sinh(relu(S1/_a0_))**2)**_a0_))\n",
+      "<lambdifygenerated-155107>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu((sinh(relu(S1/_a0_))**2)**_a0_))\n",
+      "<lambdifygenerated-155108>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu((sinh(relu(S1/_a0_))**2)**_a0_))\n",
+      "<lambdifygenerated-155112>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return _a0_*relu(log(-S2*_a0_/relu(relu(S1))))\n",
+      "<lambdifygenerated-155137>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu((_a0_**S2)**_a0_))\n",
+      "<lambdifygenerated-155138>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu((_a0_**S2)**_a0_))\n",
+      "<lambdifygenerated-155139>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu((_a0_**S2)**_a0_))\n",
+      " 82%|████████▏ | 1235/1500 [01:30<00:22, 11.66it/s]<lambdifygenerated-155187>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2/_a0_ + sin((2*S1 + S2 + sin(S2/S1))**_a0_))*exp(-S1)\n",
+      "<lambdifygenerated-155188>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2/_a0_ + sin((2*S1 + S2 + sin(S2/S1))**_a0_))*exp(-S1)\n",
+      "<lambdifygenerated-155192>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(S1**S1/_a0_)*exp(-S1)\n",
+      "<lambdifygenerated-155204>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S1 + _a0_)**_a0_\n",
+      "<lambdifygenerated-155205>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S1 + _a0_)**_a0_\n",
+      " 82%|████████▏ | 1237/1500 [01:30<00:22, 11.56it/s]<lambdifygenerated-155224>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S1)\n",
+      "<lambdifygenerated-155225>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S1)\n",
+      "<lambdifygenerated-155236>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return exp(-S1)*sqrt(log(_a0_))\n",
+      "<lambdifygenerated-155237>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return exp(-S1)*sqrt(log(_a0_))\n",
+      "<lambdifygenerated-155261>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(relu(tan(S2))/relu(relu(S1)))\n",
+      "<lambdifygenerated-155262>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(relu(tan(S2))/relu(relu(S1)))\n",
+      "<lambdifygenerated-155263>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(relu(tan(S2))/relu(relu(S1)))\n",
+      "<lambdifygenerated-155284>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return tan(S1)**_a0_\n",
+      " 83%|████████▎ | 1239/1500 [01:30<00:22, 11.73it/s]<lambdifygenerated-155327>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(relu(sinh(S1)**(S1**S1)))\n",
+      "<lambdifygenerated-155328>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(relu(sinh(S1)**(S1**S1)))\n",
+      "<lambdifygenerated-155329>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(relu(sinh(S1)**(S1**S1)))\n",
+      "<lambdifygenerated-155341>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-log(_a0_)/relu(relu(S1))))\n",
+      "<lambdifygenerated-155342>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-log(_a0_)/relu(relu(S1))))\n",
+      "<lambdifygenerated-155343>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-log(_a0_)/relu(relu(S1))))\n",
+      " 83%|████████▎ | 1241/1500 [01:30<00:22, 11.74it/s]<lambdifygenerated-155380>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2*sin(S2)/relu(relu(S1))))\n",
+      "<lambdifygenerated-155381>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2*sin(S2)/relu(relu(S1))))\n",
+      "<lambdifygenerated-155382>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2*sin(S2)/relu(relu(S1))))\n",
+      "<lambdifygenerated-155397>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(S2)*sig(relu(sig(sig(sig(S2)))))**(S2**S2*_a0_)\n",
+      "<lambdifygenerated-155411>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(_a0_/S2)**_a0_\n",
+      "<lambdifygenerated-155412>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(_a0_/S2)**_a0_\n",
+      "<lambdifygenerated-155423>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2**_a0_/relu(relu(S1))))\n",
+      "<lambdifygenerated-155442>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-155451>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu(exp(cos(S1 + exp(_a0_*relu(_a0_**_a0_)**2)))))\n",
+      "<lambdifygenerated-155452>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu(exp(cos(S1 + exp(_a0_*relu(_a0_**_a0_)**2)))))\n",
+      "<lambdifygenerated-155453>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu(exp(cos(S1 + exp(_a0_*relu(_a0_**_a0_)**2)))))\n",
+      " 83%|████████▎ | 1243/1500 [01:30<00:22, 11.61it/s]<lambdifygenerated-155458>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(log(S1)/S1)\n",
+      "<lambdifygenerated-155459>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(log(S1)/S1)\n",
+      "<lambdifygenerated-155498>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(tan(S1)/S1)\n",
+      "<lambdifygenerated-155499>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(tan(S1)/S1)\n",
+      "<lambdifygenerated-155514>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sig(sqrt(S2/_a0_)*exp(-S1))\n",
+      "<lambdifygenerated-155522>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S2/_a0_)**_a0_\n",
+      "<lambdifygenerated-155523>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S2/_a0_)**_a0_\n",
+      "<lambdifygenerated-155534>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(sin(sinh(relu(S1)))**_a0_))\n",
+      "<lambdifygenerated-155535>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(sin(sinh(relu(S1)))**_a0_))\n",
+      " 83%|████████▎ | 1245/1500 [01:30<00:21, 11.62it/s]<lambdifygenerated-155540>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2*_a0_/relu(S2 + _a0_)))\n",
+      "<lambdifygenerated-155541>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2*_a0_/relu(S2 + _a0_)))\n",
+      "<lambdifygenerated-155542>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2*_a0_/relu(S2 + _a0_)))\n",
+      "<lambdifygenerated-155568>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return relu(relu((sinh(relu(S1**S1))**2)**_a0_))\n",
+      "<lambdifygenerated-155568>:2: RuntimeWarning: overflow encountered in square\n",
+      "  return relu(relu((sinh(relu(S1**S1))**2)**_a0_))\n",
+      "<lambdifygenerated-155569>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return relu(relu((sinh(relu(S1**S1))**2)**_a0_))\n",
+      "<lambdifygenerated-155569>:2: RuntimeWarning: overflow encountered in square\n",
+      "  return relu(relu((sinh(relu(S1**S1))**2)**_a0_))\n",
+      "<lambdifygenerated-155570>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return relu(relu((sinh(relu(S1**S1))**2)**_a0_))\n",
+      "<lambdifygenerated-155570>:2: RuntimeWarning: overflow encountered in square\n",
+      "  return relu(relu((sinh(relu(S1**S1))**2)**_a0_))\n",
+      "<lambdifygenerated-155600>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu((_a0_/S2)**_a0_)\n",
+      "<lambdifygenerated-155601>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu((_a0_/S2)**_a0_)\n",
+      "<lambdifygenerated-155606>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu((sinh(relu(_a0_))**2)**_a0_))\n",
+      " 83%|████████▎ | 1247/1500 [01:31<00:30,  8.30it/s]<lambdifygenerated-155640>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(log(S1))**_a0_\n",
+      "<lambdifygenerated-155641>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(relu(exp(cos(S1 + exp(relu(relu(cosh(S1)))**2/_a0_)))))\n",
+      "<lambdifygenerated-155641>:2: RuntimeWarning: invalid value encountered in cos\n",
+      "  return relu(relu(exp(cos(S1 + exp(relu(relu(cosh(S1)))**2/_a0_)))))\n",
+      "<lambdifygenerated-155669>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2/_a0_)**_a0_\n",
+      "<lambdifygenerated-155670>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2/_a0_)**_a0_\n",
+      " 83%|████████▎ | 1249/1500 [01:31<00:27,  9.23it/s]<lambdifygenerated-155684>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(relu(log(_a0_))/relu(relu(S1)))\n",
+      "<lambdifygenerated-155685>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(relu(log(_a0_))/relu(relu(S1)))\n",
+      "<lambdifygenerated-155694>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (relu(relu(S2/relu(_a0_)))/cos(S1))**sig(S1)\n",
+      "<lambdifygenerated-155695>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (relu(relu(S2/relu(_a0_)))/cos(S1))**sig(S1)\n",
+      "<lambdifygenerated-155710>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(sinh(fac(_a0_))**_a0_)\n",
+      "<lambdifygenerated-155711>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(sinh(fac(_a0_))**_a0_)\n",
+      "<lambdifygenerated-155717>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(cos(sinh(relu(S1)))**_a0_))\n",
+      "<lambdifygenerated-155718>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(cos(sinh(relu(S1)))**_a0_))\n",
+      "<lambdifygenerated-155729>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (relu(relu(S2/relu(_a0_)))/log(S1))**sig(S1)\n",
+      "<lambdifygenerated-155730>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (relu(relu(S2/relu(_a0_)))/log(S1))**sig(S1)\n",
+      "<lambdifygenerated-155756>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(S2 + _a0_)**_a0_\n",
+      "<lambdifygenerated-155757>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(S2 + _a0_)**_a0_\n",
+      " 83%|████████▎ | 1251/1500 [01:31<00:25,  9.96it/s]<lambdifygenerated-155787>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-155791>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return exp(-sig(_a0_)/S1)/relu(_a0_)\n",
+      "<lambdifygenerated-155792>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return exp(-sig(_a0_)/S1)/relu(_a0_)\n",
+      "<lambdifygenerated-155831>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return exp(-_a0_**S2/S1)/relu(S1)\n",
+      "<lambdifygenerated-155831>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return exp(-_a0_**S2/S1)/relu(S1)\n",
+      "<lambdifygenerated-155832>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return exp(-_a0_**S2/S1)/relu(S1)\n",
+      "<lambdifygenerated-155832>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return exp(-_a0_**S2/S1)/relu(S1)\n",
+      "<lambdifygenerated-155833>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return exp(-_a0_**S2/S1)/relu(S1)\n",
+      "<lambdifygenerated-155833>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return exp(-_a0_**S2/S1)/relu(S1)\n",
+      "<lambdifygenerated-155836>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(relu(exp(cos(S1 + exp((relu(relu(S2))**2)**_a0_)))))\n",
+      "<lambdifygenerated-155836>:2: RuntimeWarning: invalid value encountered in cos\n",
+      "  return relu(relu(exp(cos(S1 + exp((relu(relu(S2))**2)**_a0_)))))\n",
+      "<lambdifygenerated-155837>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(relu(exp(cos(S1 + exp((relu(relu(S2))**2)**_a0_)))))\n",
+      "<lambdifygenerated-155837>:2: RuntimeWarning: invalid value encountered in cos\n",
+      "  return relu(relu(exp(cos(S1 + exp((relu(relu(S2))**2)**_a0_)))))\n",
+      " 84%|████████▎ | 1253/1500 [01:31<00:23, 10.64it/s]<lambdifygenerated-155843>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S2/S1)\n",
+      "<lambdifygenerated-155844>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S2/S1)\n",
+      "<lambdifygenerated-155859>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*relu(sig(_a0_))**relu(_a0_**S2)))\n",
+      "<lambdifygenerated-155860>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*relu(sig(_a0_))**relu(_a0_**S2)))\n",
+      "<lambdifygenerated-155861>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*relu(sig(_a0_))**relu(_a0_**S2)))\n",
+      "<lambdifygenerated-155904>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return _a0_**((1/2)*_a0_)\n",
+      "<lambdifygenerated-155905>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return _a0_**((1/2)*_a0_)\n",
+      "<lambdifygenerated-155906>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(_a0_/S2)**_a0_\n",
+      "<lambdifygenerated-155907>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(_a0_/S2)**_a0_\n",
+      " 84%|████████▎ | 1255/1500 [01:31<00:22, 10.71it/s]<lambdifygenerated-155915>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S1/relu(relu(S1))))\n",
+      "<lambdifygenerated-155916>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S1/relu(relu(S1))))\n",
+      "<lambdifygenerated-155957>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return (relu(relu(S2/relu(_a0_**3)))/relu(S1))**sig(S1)\n",
+      "<lambdifygenerated-155979>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return exp(-sig(_a0_)/S1)/relu(_a0_)\n",
+      " 84%|████████▍ | 1257/1500 [01:32<00:22, 10.98it/s]<lambdifygenerated-155996>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(sin(log(S2**2))/sinh(S1))\n",
+      "<lambdifygenerated-155997>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(sin(log(S2**2))/sinh(S1))\n",
+      "<lambdifygenerated-156005>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return sinh(S2**S2)**_a0_\n",
+      "<lambdifygenerated-156006>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return sinh(S2**S2)**_a0_\n",
+      "<lambdifygenerated-156019>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S1 + _a0_)**_a0_\n",
+      "<lambdifygenerated-156020>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S1 + _a0_)**_a0_\n",
+      "<lambdifygenerated-156051>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(sin(sinh(relu(S1)))**_a0_))\n",
+      " 84%|████████▍ | 1259/1500 [01:32<00:20, 11.56it/s]<lambdifygenerated-156061>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S1**2/relu(relu(S1))))\n",
+      "<lambdifygenerated-156062>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S1**2/relu(relu(S1))))\n",
+      "<lambdifygenerated-156094>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(relu(exp(cos(S1 + exp(fac(S2)*relu(relu(S2))**2)))))\n",
+      "<lambdifygenerated-156094>:2: RuntimeWarning: invalid value encountered in cos\n",
+      "  return relu(relu(exp(cos(S1 + exp(fac(S2)*relu(relu(S2))**2)))))\n",
+      "<lambdifygenerated-156095>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(relu(exp(cos(S1 + exp(fac(S2)*relu(relu(S2))**2)))))\n",
+      "<lambdifygenerated-156095>:2: RuntimeWarning: invalid value encountered in cos\n",
+      "  return relu(relu(exp(cos(S1 + exp(fac(S2)*relu(relu(S2))**2)))))\n",
+      "<lambdifygenerated-156096>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(relu(exp(cos(S1 + exp(fac(S2)*relu(relu(S2))**2)))))\n",
+      "<lambdifygenerated-156096>:2: RuntimeWarning: invalid value encountered in cos\n",
+      "  return relu(relu(exp(cos(S1 + exp(fac(S2)*relu(relu(S2))**2)))))\n",
+      "<lambdifygenerated-156108>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return (relu(relu(S2/relu(_a0_)))/relu(sin(S2)))**sig(S1)\n",
+      "<lambdifygenerated-156109>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return (relu(relu(S2/relu(_a0_)))/relu(sin(S2)))**sig(S1)\n",
+      "<lambdifygenerated-156110>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return (relu(relu(S2/relu(_a0_)))/relu(sin(S2)))**sig(S1)\n",
+      "<lambdifygenerated-156132>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(sinh(_a0_)))**_a0_\n",
+      "<lambdifygenerated-156133>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(sinh(_a0_)))**_a0_\n",
+      "<lambdifygenerated-156134>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(sinh(_a0_)))**_a0_\n",
+      "<lambdifygenerated-156136>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu((sinh(relu(_a0_/S2))**2)**_a0_))\n",
+      "<lambdifygenerated-156137>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu((sinh(relu(_a0_/S2))**2)**_a0_))\n",
+      "<lambdifygenerated-156138>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu((sinh(relu(_a0_/S2))**2)**_a0_))\n",
+      " 84%|████████▍ | 1261/1500 [01:32<00:20, 11.42it/s]<lambdifygenerated-156207>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return relu(relu((sinh(S2**S1)**2)**_a0_))\n",
+      "<lambdifygenerated-156207>:2: RuntimeWarning: overflow encountered in square\n",
+      "  return relu(relu((sinh(S2**S1)**2)**_a0_))\n",
+      "<lambdifygenerated-156208>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return relu(relu((sinh(S2**S1)**2)**_a0_))\n",
+      "<lambdifygenerated-156208>:2: RuntimeWarning: overflow encountered in square\n",
+      "  return relu(relu((sinh(S2**S1)**2)**_a0_))\n",
+      "<lambdifygenerated-156211>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return S1**(S1**S1)\n",
+      "<lambdifygenerated-156212>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return S1**(S1**S1)\n",
+      " 84%|████████▍ | 1263/1500 [01:32<00:19, 11.95it/s]<lambdifygenerated-156213>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-_a0_)\n",
+      "<lambdifygenerated-156214>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-_a0_)\n",
+      "<lambdifygenerated-156216>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S1/relu(relu(S1))))\n",
+      "<lambdifygenerated-156217>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S1/relu(relu(S1))))\n",
+      "<lambdifygenerated-156229>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(sig(log(S2**2))/sinh(S2 + _a0_))\n",
+      "<lambdifygenerated-156234>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sin(S1)**_a0_)\n",
+      "<lambdifygenerated-156256>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return sqrt(S2)*_a0_**2/(sqrt(S1**(S1**S2))*abs(relu(fac(S1))))\n",
+      "<lambdifygenerated-156257>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return sqrt(S2)*_a0_**2/(sqrt(S1**(S1**S2))*abs(relu(fac(S1))))\n",
+      "<lambdifygenerated-156258>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return sqrt(S2)*_a0_**2/(sqrt(S1**(S1**S2))*abs(relu(fac(S1))))\n",
+      "<lambdifygenerated-156290>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(relu(exp(cos(S1 + exp((relu(relu(S2))**2)**_a0_)))))\n",
+      "<lambdifygenerated-156290>:2: RuntimeWarning: invalid value encountered in cos\n",
+      "  return relu(relu(exp(cos(S1 + exp((relu(relu(S2))**2)**_a0_)))))\n",
+      " 84%|████████▍ | 1265/1500 [01:32<00:19, 12.15it/s]<lambdifygenerated-156298>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-cosh(S2)/relu(relu(S1))))\n",
+      "<lambdifygenerated-156299>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-cosh(S2)/relu(relu(S1))))\n",
+      "<lambdifygenerated-156300>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-cosh(S2)/relu(relu(S1))))\n",
+      "<lambdifygenerated-156332>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(exp(cos(S1 + exp(_a0_**S2*relu(relu(S2))**2)))))\n",
+      "<lambdifygenerated-156333>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(exp(cos(S1 + exp(_a0_**S2*relu(relu(S2))**2)))))\n",
+      "<lambdifygenerated-156334>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(exp(cos(S1 + exp(_a0_**S2*relu(relu(S2))**2)))))\n",
+      "<lambdifygenerated-156337>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(cos(S1))\n",
+      "<lambdifygenerated-156338>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(cos(S1))\n",
+      "<lambdifygenerated-156355>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(sinh(S1)**(S1**S2))\n",
+      "<lambdifygenerated-156356>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(sinh(S1)**(S1**S2))\n",
+      "<lambdifygenerated-156363>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return fac(_a0_)**_a0_\n",
+      "<lambdifygenerated-156364>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return fac(_a0_)**_a0_\n",
+      "<lambdifygenerated-156365>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return sinh(relu(S2*_a0_))**_a0_\n",
+      "<lambdifygenerated-156366>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return sinh(relu(S2*_a0_))**_a0_\n",
+      " 84%|████████▍ | 1267/1500 [01:32<00:19, 12.20it/s]<lambdifygenerated-156377>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2/(_a0_*relu(_a0_))))\n",
+      "<lambdifygenerated-156378>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2/(_a0_*relu(_a0_))))\n",
+      "<lambdifygenerated-156427>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(S1)**(_a0_**_a0_))\n",
+      "<lambdifygenerated-156428>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(S1)**(_a0_**_a0_))\n",
+      "<lambdifygenerated-156429>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(S1)**(_a0_**_a0_))\n",
+      " 85%|████████▍ | 1269/1500 [01:33<00:18, 12.62it/s]<lambdifygenerated-156447>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S2)\n",
+      "<lambdifygenerated-156448>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S2)\n",
+      "<lambdifygenerated-156449>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2/(_a0_*relu(-S1))))\n",
+      "<lambdifygenerated-156450>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2/(_a0_*relu(-S1))))\n",
+      "<lambdifygenerated-156466>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(_a0_**3)**_a0_)\n",
+      "<lambdifygenerated-156467>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(_a0_**3)**_a0_)\n",
+      "<lambdifygenerated-156474>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(_a0_/S1)**_a0_\n",
+      "<lambdifygenerated-156475>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(_a0_/S1)**_a0_\n",
+      "<lambdifygenerated-156484>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log(relu(S2)/relu(S2 + _a0_))\n",
+      "<lambdifygenerated-156491>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log((relu(relu(S2/relu(_a0_)))/relu(S1))**sig(S1))\n",
+      "<lambdifygenerated-156496>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sqrt(sig(log(S2*log(S2)))/sinh(S1))\n",
+      "<lambdifygenerated-156497>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sqrt(sig(log(S2*log(S2)))/sinh(S1))\n",
+      "<lambdifygenerated-156498>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sqrt(sig(log(S2*log(S2)))/sinh(S1))\n",
+      " 85%|████████▍ | 1271/1500 [01:33<00:17, 12.78it/s]<lambdifygenerated-156520>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(relu(S2)/sin(relu(S1)))\n",
+      "<lambdifygenerated-156551>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-cos(_a0_)/relu(relu(S1))))\n",
+      "<lambdifygenerated-156552>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-cos(_a0_)/relu(relu(S1))))\n",
+      "<lambdifygenerated-156553>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-cos(_a0_)/relu(relu(S1))))\n",
+      "<lambdifygenerated-156565>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(_a0_**_a0_)\n",
+      "<lambdifygenerated-156566>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(_a0_**_a0_)\n",
+      "<lambdifygenerated-156567>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_**S1)**_a0_\n",
+      "<lambdifygenerated-156568>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_**S1)**_a0_\n",
+      "<lambdifygenerated-156578>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2*_a0_)**_a0_\n",
+      "<lambdifygenerated-156579>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2*_a0_)**_a0_\n",
+      " 85%|████████▍ | 1273/1500 [01:33<00:16, 13.43it/s]<lambdifygenerated-156609>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sinh(relu(sqrt(_a0_)))**_a0_\n",
+      "<lambdifygenerated-156610>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sinh(relu(sqrt(_a0_)))**_a0_\n",
+      "<lambdifygenerated-156617>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(tan(S2)/S1)\n",
+      "<lambdifygenerated-156618>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(tan(S2)/S1)\n",
+      "<lambdifygenerated-156627>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(tan(S1))**_a0_/(_a0_ + relu(S1)))\n",
+      " 85%|████████▌ | 1275/1500 [01:33<00:16, 13.31it/s]<lambdifygenerated-156664>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(S2)*_a0_**2/(sqrt(tan(S2))*abs(relu(fac(S1))))\n",
+      "<lambdifygenerated-156665>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(S2)*_a0_**2/(sqrt(tan(S2))*abs(relu(fac(S1))))\n",
+      "<lambdifygenerated-156666>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(S2)*_a0_**2/(sqrt(tan(S2))*abs(relu(fac(S1))))\n",
+      "<lambdifygenerated-156712>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu((S2/_a0_)**_a0_)\n",
+      "<lambdifygenerated-156713>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu((S2/_a0_)**_a0_)\n",
+      " 85%|████████▌ | 1277/1500 [01:33<00:17, 13.00it/s]<lambdifygenerated-156766>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2/(_a0_*relu(S2 + _a0_))))\n",
+      "<lambdifygenerated-156767>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2/(_a0_*relu(S2 + _a0_))))\n",
+      "<lambdifygenerated-156789>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return -_a0_**_a0_\n",
+      "<lambdifygenerated-156790>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return -_a0_**_a0_\n",
+      " 85%|████████▌ | 1279/1500 [01:33<00:16, 13.35it/s]<lambdifygenerated-156801>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2**_a0_/relu(relu(S1))))\n",
+      "<lambdifygenerated-156802>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(relu(S2)/tan(relu(S1)))\n",
+      "<lambdifygenerated-156803>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(relu(S2)/tan(relu(S1)))\n",
+      "<lambdifygenerated-156808>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (-relu(S2/relu(_a0_))/relu(S1))**sig(S1)\n",
+      "<lambdifygenerated-156809>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (-relu(S2/relu(_a0_))/relu(S1))**sig(S1)\n",
+      "<lambdifygenerated-156816>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(sinh(fac(_a0_))**_a0_)\n",
+      "<lambdifygenerated-156817>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(sinh(fac(_a0_))**_a0_)\n",
+      "<lambdifygenerated-156820>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-156830>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2/(_a0_*relu(S1 + _a0_))))\n",
+      "<lambdifygenerated-156831>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2/(_a0_*relu(S1 + _a0_))))\n",
+      "<lambdifygenerated-156832>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2/(_a0_*relu(S1 + _a0_))))\n",
+      "<lambdifygenerated-156850>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(S1 + _a0_)**_a0_)\n",
+      "<lambdifygenerated-156851>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(S1 + _a0_)**_a0_)\n",
+      " 85%|████████▌ | 1281/1500 [01:33<00:15, 13.96it/s]<lambdifygenerated-156863>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-1/relu(relu(S1))))\n",
+      "<lambdifygenerated-156879>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return sqrt(sig(log(log(_a0_)))/sinh(S1))\n",
+      "<lambdifygenerated-156906>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(log(S2)/relu(S1))\n",
+      "<lambdifygenerated-156907>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(log(S2)/relu(S1))\n",
+      "<lambdifygenerated-156929>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return sinh(relu(S1))**(S1**S1)\n",
+      "<lambdifygenerated-156930>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return sinh(relu(S1))**(S1**S1)\n",
+      "<lambdifygenerated-156931>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return sinh(relu(S1))**(S1**S1)\n",
+      "<lambdifygenerated-156933>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return exp(-sig(_a0_)/S1)/relu(_a0_)\n",
+      " 86%|████████▌ | 1283/1500 [01:34<00:15, 13.63it/s]<lambdifygenerated-156971>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S1/relu(relu(S1))))\n",
+      "<lambdifygenerated-156972>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S1/relu(relu(S1))))\n",
+      "<lambdifygenerated-156999>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return exp(-_a0_**_a0_/S1)/relu(S1)\n",
+      "<lambdifygenerated-157000>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return exp(-_a0_**_a0_/S1)/relu(S1)\n",
+      " 86%|████████▌ | 1285/1500 [01:34<00:15, 13.51it/s]<lambdifygenerated-157032>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(S1)**(_a0_**S2))\n",
+      "<lambdifygenerated-157033>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(S1)**(_a0_**S2))\n",
+      "<lambdifygenerated-157035>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-157036>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-157047>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2/(_a0_*log(relu(S1)))))\n",
+      "<lambdifygenerated-157069>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-157077>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu((sinh(_a0_**S1)**2)**_a0_))\n",
+      "<lambdifygenerated-157078>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu((sinh(_a0_**S1)**2)**_a0_))\n",
+      "<lambdifygenerated-157079>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu((sinh(_a0_**S1)**2)**_a0_))\n",
+      " 86%|████████▌ | 1287/1500 [01:34<00:16, 13.09it/s]<lambdifygenerated-157084>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2/(_a0_*relu(relu(_a0_)))))\n",
+      "<lambdifygenerated-157088>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return sqrt(S2)*_a0_**2/(sqrt(S1**_a0_)*abs(relu(fac(log(_a0_)))))\n",
+      "<lambdifygenerated-157089>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return sqrt(S2)*_a0_**2/(sqrt(S1**_a0_)*abs(relu(fac(log(_a0_)))))\n",
+      "<lambdifygenerated-157090>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return sqrt(S2)*_a0_**2/(sqrt(S1**_a0_)*abs(relu(fac(log(_a0_)))))\n",
+      "<lambdifygenerated-157097>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(relu(S2/_a0_)/sqrt((S1 + _a0_)*(S1**2 + S2))))\n",
+      "<lambdifygenerated-157109>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sin(S1)**_a0_)\n",
+      "<lambdifygenerated-157115>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu((sinh(relu(_a0_**_a0_))**2)**_a0_))\n",
+      "<lambdifygenerated-157116>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu((sinh(relu(_a0_**_a0_))**2)**_a0_))\n",
+      "<lambdifygenerated-157118>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2/(_a0_*relu(_a0_))))\n",
+      "<lambdifygenerated-157119>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2/(_a0_*relu(_a0_))))\n",
+      "<lambdifygenerated-157143>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu((sinh(relu(_a0_))**2)**_a0_))\n",
+      " 86%|████████▌ | 1289/1500 [01:34<00:16, 12.63it/s]<lambdifygenerated-157147>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S1/relu(relu(S1))))\n",
+      "<lambdifygenerated-157148>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S1/relu(relu(S1))))\n",
+      "<lambdifygenerated-157155>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return sqrt(S2)*_a0_**2/(sqrt(S1**_a0_)*abs(relu(fac(cos(S2)))))\n",
+      "<lambdifygenerated-157156>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return sqrt(S2)*_a0_**2/(sqrt(S1**_a0_)*abs(relu(fac(cos(S2)))))\n",
+      "<lambdifygenerated-157157>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return sqrt(S2)*_a0_**2/(sqrt(S1**_a0_)*abs(relu(fac(cos(S2)))))\n",
+      "<lambdifygenerated-157163>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(cos(log(S2**2))/sinh(S1))\n",
+      "<lambdifygenerated-157164>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(cos(log(S2**2))/sinh(S1))\n",
+      "<lambdifygenerated-157171>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return cos(relu(S1))**_a0_\n",
+      "<lambdifygenerated-157172>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return cos(relu(S1))**_a0_\n",
+      "<lambdifygenerated-157182>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S1**(-S1)*S2/relu(relu(S1))))\n",
+      "<lambdifygenerated-157183>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S1**(-S1)*S2/relu(relu(S1))))\n",
+      "<lambdifygenerated-157184>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S1**(-S1)*S2/relu(relu(S1))))\n",
+      "<lambdifygenerated-157205>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return (2*_a0_)**_a0_\n",
+      "<lambdifygenerated-157206>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return (2*_a0_)**_a0_\n",
+      "<lambdifygenerated-157207>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-157208>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-157213>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu((sinh(relu(relu(_a0_)))**2)**_a0_))\n",
+      "<lambdifygenerated-157214>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu((sinh(relu(relu(_a0_)))**2)**_a0_))\n",
+      "<lambdifygenerated-157215>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu((sinh(relu(relu(_a0_)))**2)**_a0_))\n",
+      " 86%|████████▌ | 1291/1500 [01:34<00:16, 12.78it/s]<lambdifygenerated-157241>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(_a0_**_a0_)**_a0_)\n",
+      "<lambdifygenerated-157242>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(_a0_**_a0_)**_a0_)\n",
+      "<lambdifygenerated-157245>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S1/_a0_)**_a0_\n",
+      "<lambdifygenerated-157246>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S1/_a0_)**_a0_\n",
+      "<lambdifygenerated-157253>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(cos(S1)/S1)\n",
+      "<lambdifygenerated-157254>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(cos(S1)/S1)\n",
+      "<lambdifygenerated-157255>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(cos(S1)/S1)\n",
+      "<lambdifygenerated-157256>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-tan(_a0_)/(_a0_*relu(relu(S1)))))\n",
+      "<lambdifygenerated-157257>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-tan(_a0_)/(_a0_*relu(relu(S1)))))\n",
+      "<lambdifygenerated-157258>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-tan(_a0_)/(_a0_*relu(relu(S1)))))\n",
+      "<lambdifygenerated-157271>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(S2/_a0_)*exp(-S2 - _a0_)\n",
+      " 86%|████████▌ | 1293/1500 [01:34<00:15, 13.35it/s]<lambdifygenerated-157294>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return (S2/_a0_ + sin((2*S1 + S2 + sin(S1*S2))**(S1**S2)))*exp(-S1)\n",
+      "<lambdifygenerated-157294>:2: RuntimeWarning: invalid value encountered in sin\n",
+      "  return (S2/_a0_ + sin((2*S1 + S2 + sin(S1*S2))**(S1**S2)))*exp(-S1)\n",
+      "<lambdifygenerated-157295>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return (S2/_a0_ + sin((2*S1 + S2 + sin(S1*S2))**(S1**S2)))*exp(-S1)\n",
+      "<lambdifygenerated-157295>:2: RuntimeWarning: invalid value encountered in sin\n",
+      "  return (S2/_a0_ + sin((2*S1 + S2 + sin(S1*S2))**(S1**S2)))*exp(-S1)\n",
+      "<lambdifygenerated-157296>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return (S2/_a0_ + sin((2*S1 + S2 + sin(S1*S2))**(S1**S2)))*exp(-S1)\n",
+      "<lambdifygenerated-157296>:2: RuntimeWarning: invalid value encountered in sin\n",
+      "  return (S2/_a0_ + sin((2*S1 + S2 + sin(S1*S2))**(S1**S2)))*exp(-S1)\n",
+      "<lambdifygenerated-157310>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return tan(relu(S1))**_a0_\n",
+      "<lambdifygenerated-157315>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return cos(S1)**_a0_\n",
+      "<lambdifygenerated-157318>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(relu(exp(fac(S1 + exp(relu(relu(S2))**2/_a0_)))))\n",
+      " 86%|████████▋ | 1295/1500 [01:35<00:15, 13.63it/s]<lambdifygenerated-157381>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu((S1/_a0_)**_a0_)\n",
+      "<lambdifygenerated-157382>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu((S1/_a0_)**_a0_)\n",
+      " 86%|████████▋ | 1297/1500 [01:35<00:17, 11.93it/s]<lambdifygenerated-157444>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(S2*_a0_)/S1**3\n",
+      "<lambdifygenerated-157464>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2/_a0_ + sin((2*S1 + S2 + sin(S2/S1))**_a0_))*exp(-S1)\n",
+      " 87%|████████▋ | 1299/1500 [01:35<00:16, 12.46it/s]<lambdifygenerated-157492>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(sin(S2))\n",
+      "<lambdifygenerated-157493>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(sin(S2))\n",
+      "<lambdifygenerated-157523>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-157527>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2**_a0_/relu(relu(S1))))\n",
+      "<lambdifygenerated-157549>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(_a0_)**_a0_\n",
+      "<lambdifygenerated-157550>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(_a0_)**_a0_\n",
+      "<lambdifygenerated-157560>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      " 87%|████████▋ | 1301/1500 [01:35<00:15, 12.89it/s]<lambdifygenerated-157574>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(tan(S2)**_a0_/(_a0_ + relu(S1)))\n",
+      "<lambdifygenerated-157575>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(tan(S2)**_a0_/(_a0_ + relu(S1)))\n",
+      "<lambdifygenerated-157586>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(S2*sin(S2))*exp(-S1)\n",
+      "<lambdifygenerated-157587>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(S2*sin(S2))*exp(-S1)\n",
+      "<lambdifygenerated-157588>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(S2*sin(S2))*exp(-S1)\n",
+      "<lambdifygenerated-157592>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(_a0_)**_a0_)\n",
+      "<lambdifygenerated-157630>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return exp(-_a0_**(-S2)*sig(_a0_))/relu(S1)\n",
+      "<lambdifygenerated-157631>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return exp(-_a0_**(-S2)*sig(_a0_))/relu(S1)\n",
+      "<lambdifygenerated-157632>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return exp(-_a0_**(-S2)*sig(_a0_))/relu(S1)\n",
+      "<lambdifygenerated-157633>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(exp(cos(S1 + exp(relu(_a0_**S1)**2/_a0_)))))\n",
+      "<lambdifygenerated-157634>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(exp(cos(S1 + exp(relu(_a0_**S1)**2/_a0_)))))\n",
+      "<lambdifygenerated-157635>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(exp(cos(S1 + exp(relu(_a0_**S1)**2/_a0_)))))\n",
+      " 87%|████████▋ | 1303/1500 [01:35<00:16, 12.24it/s]<lambdifygenerated-157641>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2/(S1*relu(relu(S1)))))\n",
+      "<lambdifygenerated-157668>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu((sinh(relu(_a0_))**2)**_a0_))\n",
+      "<lambdifygenerated-157676>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(log(-_a0_**S2/(_a0_*relu(relu(S1)))))\n",
+      "<lambdifygenerated-157676>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-_a0_**S2/(_a0_*relu(relu(S1)))))\n",
+      "<lambdifygenerated-157677>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(log(-_a0_**S2/(_a0_*relu(relu(S1)))))\n",
+      "<lambdifygenerated-157677>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-_a0_**S2/(_a0_*relu(relu(S1)))))\n",
+      "<lambdifygenerated-157678>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(log(-_a0_**S2/(_a0_*relu(relu(S1)))))\n",
+      "<lambdifygenerated-157678>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-_a0_**S2/(_a0_*relu(relu(S1)))))\n",
+      "<lambdifygenerated-157702>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(_a0_**_a0_)\n",
+      "<lambdifygenerated-157703>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(_a0_**_a0_)\n",
+      "<lambdifygenerated-157707>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      " 87%|████████▋ | 1305/1500 [01:35<00:15, 12.67it/s]<lambdifygenerated-157710>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2/(relu(relu(S1))*log(_a0_))))\n",
+      "<lambdifygenerated-157711>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2/(relu(relu(S1))*log(_a0_))))\n",
+      "<lambdifygenerated-157712>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2/(relu(relu(S1))*log(_a0_))))\n",
+      "<lambdifygenerated-157719>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(sin(_a0_))**_a0_/(_a0_ + relu(S1)))\n",
+      "<lambdifygenerated-157738>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return tan(S1)**_a0_\n",
+      "<lambdifygenerated-157739>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return tan(S1)**_a0_\n",
+      "<lambdifygenerated-157740>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu((sinh(relu(S2*_a0_))**2)**_a0_))\n",
+      "<lambdifygenerated-157741>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu((sinh(relu(S2*_a0_))**2)**_a0_))\n",
+      "<lambdifygenerated-157742>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu((sinh(relu(S2*_a0_))**2)**_a0_))\n",
+      "<lambdifygenerated-157750>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-sinh(S2)/relu(relu(S1))))\n",
+      "<lambdifygenerated-157751>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-sinh(S2)/relu(relu(S1))))\n",
+      "<lambdifygenerated-157771>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return sinh(relu(tan(S2)))**_a0_\n",
+      "<lambdifygenerated-157772>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return sinh(relu(tan(S2)))**_a0_\n",
+      " 87%|████████▋ | 1307/1500 [01:36<00:15, 12.15it/s]<lambdifygenerated-157802>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (-sinh(S1))**_a0_\n",
+      "<lambdifygenerated-157818>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2/(_a0_**2*relu(relu(S1)))))\n",
+      "<lambdifygenerated-157819>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2/(_a0_**2*relu(relu(S1)))))\n",
+      "<lambdifygenerated-157838>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (-sinh(S1))**_a0_\n",
+      " 87%|████████▋ | 1309/1500 [01:36<00:15, 12.70it/s]<lambdifygenerated-157852>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(S2/log(S1))\n",
+      "<lambdifygenerated-157853>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(S2/log(S1))\n",
+      "<lambdifygenerated-157859>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(sqrt(S2)*_a0_**2/(sqrt(S1**_a0_)*abs(relu(tan(S1)))))\n",
+      "<lambdifygenerated-157860>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(sqrt(S2)*_a0_**2/(sqrt(S1**_a0_)*abs(relu(tan(S1)))))\n",
+      "<lambdifygenerated-157863>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return (relu(relu(S2/relu(_a0_)))/S2)**sig(S1)\n",
+      "<lambdifygenerated-157882>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(log(S1)**_a0_)**2\n",
+      "<lambdifygenerated-157883>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(log(S1)**_a0_)**2\n",
+      "<lambdifygenerated-157890>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S1/relu(relu(S1))))\n",
+      "<lambdifygenerated-157891>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S1/relu(relu(S1))))\n",
+      "<lambdifygenerated-157915>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return exp(-sig(_a0_)/log(_a0_))/relu(S1)\n",
+      "<lambdifygenerated-157916>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return exp(-sig(_a0_)/log(_a0_))/relu(S1)\n",
+      "<lambdifygenerated-157917>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return exp(-sig(_a0_)/log(_a0_))/relu(S1)\n",
+      " 87%|████████▋ | 1311/1500 [01:36<00:14, 13.09it/s]<lambdifygenerated-157956>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(relu(exp(cos(S1 + exp((relu(relu(S2))**2)**_a0_)))))\n",
+      "<lambdifygenerated-157956>:2: RuntimeWarning: invalid value encountered in cos\n",
+      "  return relu(relu(exp(cos(S1 + exp((relu(relu(S2))**2)**_a0_)))))\n",
+      "<lambdifygenerated-157966>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2/_a0_ + sin((S1 + (S1 + S2)*sin(S1*S2))**_a0_))*exp(-S1)\n",
+      "<lambdifygenerated-157967>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2/_a0_ + sin((S1 + (S1 + S2)*sin(S1*S2))**_a0_))*exp(-S1)\n",
+      "<lambdifygenerated-157975>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(tan(log(S2**2))/sinh(S1))\n",
+      "<lambdifygenerated-157976>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(tan(log(S2**2))/sinh(S1))\n",
+      "<lambdifygenerated-157983>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-157984>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-157989>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(sinh(S1)**(S1**S2))**2\n",
+      "<lambdifygenerated-157989>:2: RuntimeWarning: overflow encountered in square\n",
+      "  return relu(sinh(S1)**(S1**S2))**2\n",
+      "<lambdifygenerated-157990>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(sinh(S1)**(S1**S2))**2\n",
+      "<lambdifygenerated-157990>:2: RuntimeWarning: overflow encountered in square\n",
+      "  return relu(sinh(S1)**(S1**S2))**2\n",
+      "<lambdifygenerated-157991>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(sinh(S1)**(S1**S2))**2\n",
+      "<lambdifygenerated-157991>:2: RuntimeWarning: overflow encountered in square\n",
+      "  return relu(sinh(S1)**(S1**S2))**2\n",
+      " 88%|████████▊ | 1313/1500 [01:36<00:14, 12.98it/s]<lambdifygenerated-158021>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S2/_a0_)**_a0_\n",
+      "<lambdifygenerated-158022>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S2/_a0_)**_a0_\n",
+      "<lambdifygenerated-158041>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(sin(S2)/relu(S1))\n",
+      "<lambdifygenerated-158042>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(sin(S2)/relu(S1))\n",
+      "<lambdifygenerated-158064>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return sinh(relu(sin(S1)))**_a0_\n",
+      "<lambdifygenerated-158065>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return sinh(relu(sin(S1)))**_a0_\n",
+      " 88%|████████▊ | 1315/1500 [01:36<00:14, 12.50it/s]<lambdifygenerated-158086>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2**_a0_/relu(relu(S1))))\n",
+      "<lambdifygenerated-158109>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return exp(-sig(_a0_)/S1)/relu(_a0_)\n",
+      "<lambdifygenerated-158112>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(relu(exp(cos(S1 + exp(relu(relu(log(_a0_)))**2/_a0_)))))\n",
+      "<lambdifygenerated-158113>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(relu(exp(cos(S1 + exp(relu(relu(log(_a0_)))**2/_a0_)))))\n",
+      "<lambdifygenerated-158114>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(relu(exp(cos(S1 + exp(relu(relu(log(_a0_)))**2/_a0_)))))\n",
+      "<lambdifygenerated-158115>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return cos(S1)**_a0_\n",
+      "<lambdifygenerated-158146>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(relu(log(cos(S1 + exp(relu(relu(S2))**2/_a0_)))))\n",
+      "<lambdifygenerated-158147>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(relu(log(cos(S1 + exp(relu(relu(S2))**2/_a0_)))))\n",
+      " 88%|████████▊ | 1317/1500 [01:36<00:14, 12.84it/s]<lambdifygenerated-158181>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu((_a0_**_a0_)**_a0_)**2\n",
+      "<lambdifygenerated-158182>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu((_a0_**_a0_)**_a0_)**2\n",
+      "<lambdifygenerated-158183>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu((_a0_**_a0_)**_a0_)**2\n",
+      "<lambdifygenerated-158186>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-158194>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sqrt(S2)*_a0_**2/(sqrt(-S2)*abs(relu(fac(S1)))))\n",
+      "<lambdifygenerated-158195>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sqrt(S2)*_a0_**2/(sqrt(-S2)*abs(relu(fac(S1)))))\n",
+      "<lambdifygenerated-158196>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sqrt(S2)*_a0_**2/(sqrt(-S2)*abs(relu(fac(S1)))))\n",
+      "<lambdifygenerated-158199>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return (relu(relu(S2/relu(_a0_)))/relu(exp(S2)))**sig(S1)\n",
+      "<lambdifygenerated-158211>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return sinh(relu(_a0_))**_a0_\n",
+      "<lambdifygenerated-158221>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(sin(S1))**_a0_\n",
+      "<lambdifygenerated-158222>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(sin(S1))**_a0_\n",
+      " 88%|████████▊ | 1319/1500 [01:36<00:13, 12.94it/s]<lambdifygenerated-158249>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(relu((sinh(S1)**2)**(_a0_**S1))))\n",
+      "<lambdifygenerated-158250>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(relu((sinh(S1)**2)**(_a0_**S1))))\n",
+      "<lambdifygenerated-158251>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(relu((sinh(S1)**2)**(_a0_**S1))))\n",
+      "<lambdifygenerated-158252>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(S1)**(_a0_**S2))**2\n",
+      "<lambdifygenerated-158253>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(S1)**(_a0_**S2))**2\n",
+      "<lambdifygenerated-158254>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(S1)**(_a0_**S2))**2\n",
+      "<lambdifygenerated-158280>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return exp(-S1)*sqrt(tan(S2))\n",
+      "<lambdifygenerated-158281>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return exp(-S1)*sqrt(tan(S2))\n",
+      "<lambdifygenerated-158282>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return exp(-S1)*sqrt(tan(S2))\n",
+      "<lambdifygenerated-158283>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return sinh(relu(_a0_))**_a0_\n",
+      "<lambdifygenerated-158289>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(log(S1))**_a0_)**2\n",
+      "<lambdifygenerated-158290>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(log(S1))**_a0_)**2\n",
+      "<lambdifygenerated-158291>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(log(S1))**_a0_)**2\n",
+      " 88%|████████▊ | 1321/1500 [01:37<00:13, 13.22it/s]<lambdifygenerated-158297>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2*exp(-_a0_)/relu(relu(S1))))\n",
+      "<lambdifygenerated-158298>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2*exp(-_a0_)/relu(relu(S1))))\n",
+      "<lambdifygenerated-158299>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2*exp(-_a0_)/relu(relu(S1))))\n",
+      "<lambdifygenerated-158322>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (-sinh(S1))**_a0_\n",
+      "<lambdifygenerated-158325>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return exp(-sig(_a0_)/S1)/relu(S1/_a0_)\n",
+      "<lambdifygenerated-158326>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return exp(-sig(_a0_)/S1)/relu(S1/_a0_)\n",
+      "<lambdifygenerated-158327>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return exp(-sig(_a0_)/S1)/relu(S1/_a0_)\n",
+      "<lambdifygenerated-158340>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(tan(S1)/S1)\n",
+      "<lambdifygenerated-158341>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(tan(S1)/S1)\n",
+      "<lambdifygenerated-158375>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(relu(exp(cos(S1 + exp(relu(relu(S2))**2/relu(_a0_))))))\n",
+      "<lambdifygenerated-158375>:2: RuntimeWarning: invalid value encountered in cos\n",
+      "  return relu(relu(exp(cos(S1 + exp(relu(relu(S2))**2/relu(_a0_))))))\n",
+      "<lambdifygenerated-158376>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(relu(exp(cos(S1 + exp(relu(relu(S2))**2/relu(_a0_))))))\n",
+      "<lambdifygenerated-158376>:2: RuntimeWarning: invalid value encountered in cos\n",
+      "  return relu(relu(exp(cos(S1 + exp(relu(relu(S2))**2/relu(_a0_))))))\n",
+      "<lambdifygenerated-158377>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(relu(exp(cos(S1 + exp(relu(relu(S2))**2/relu(_a0_))))))\n",
+      "<lambdifygenerated-158377>:2: RuntimeWarning: invalid value encountered in cos\n",
+      "  return relu(relu(exp(cos(S1 + exp(relu(relu(S2))**2/relu(_a0_))))))\n",
+      "<lambdifygenerated-158378>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_**S1)**_a0_\n",
+      "<lambdifygenerated-158379>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_**S1)**_a0_\n",
+      "<lambdifygenerated-158380>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return (_a0_**_a0_)**_a0_\n",
+      "<lambdifygenerated-158381>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return (_a0_**_a0_)**_a0_\n",
+      " 88%|████████▊ | 1323/1500 [01:37<00:14, 12.56it/s]<lambdifygenerated-158387>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(sqrt(S2)*_a0_**2/(sqrt(S1**_a0_)*abs(relu(fac(log(S2))))))\n",
+      "<lambdifygenerated-158388>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(sqrt(S2)*_a0_**2/(sqrt(S1**_a0_)*abs(relu(fac(log(S2))))))\n",
+      "<lambdifygenerated-158389>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(sqrt(S2)*_a0_**2/(sqrt(S1**_a0_)*abs(relu(fac(log(S2))))))\n",
+      "<lambdifygenerated-158394>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return _a0_*(relu(relu(S2/relu(_a0_)))/relu(S1))**sig(S1)\n",
+      "<lambdifygenerated-158416>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(S2/log(S1))\n",
+      " 88%|████████▊ | 1325/1500 [01:37<00:13, 13.41it/s]<lambdifygenerated-158477>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-sig(_a0_)/S1)/relu(S1)\n",
+      "<lambdifygenerated-158478>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-sig(_a0_)/S1)/relu(S1)\n",
+      "<lambdifygenerated-158486>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(log(-_a0_**_a0_/(_a0_*relu(relu(S1)))))\n",
+      "<lambdifygenerated-158487>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(log(-_a0_**_a0_/(_a0_*relu(relu(S1)))))\n",
+      "<lambdifygenerated-158488>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(log(-_a0_**_a0_/(_a0_*relu(relu(S1)))))\n",
+      "<lambdifygenerated-158503>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(S2)*log(sig(relu(_a0_)))**(S1*_a0_)\n",
+      "<lambdifygenerated-158504>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(S2)*log(sig(relu(_a0_)))**(S1*_a0_)\n",
+      "<lambdifygenerated-158518>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S1/_a0_)**_a0_\n",
+      "<lambdifygenerated-158519>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S1/_a0_)**_a0_\n",
+      " 88%|████████▊ | 1327/1500 [01:37<00:13, 12.66it/s]<lambdifygenerated-158524>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log(S2/relu(S2 + _a0_))\n",
+      "<lambdifygenerated-158535>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return (relu(relu(S2/relu(_a0_)))/relu(-S2))**sig(S1)\n",
+      "<lambdifygenerated-158536>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return (relu(relu(S2/relu(_a0_)))/relu(-S2))**sig(S1)\n",
+      "<lambdifygenerated-158544>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return sinh(relu(relu(S1*_a0_)))**_a0_\n",
+      "<lambdifygenerated-158545>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return sinh(relu(relu(S1*_a0_)))**_a0_\n",
+      "<lambdifygenerated-158546>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return sinh(relu(relu(S1*_a0_)))**_a0_\n",
+      "<lambdifygenerated-158580>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return sinh(relu(_a0_))**_a0_\n",
+      "<lambdifygenerated-158581>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return sinh(relu(_a0_))**_a0_\n",
+      "<lambdifygenerated-158589>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(_a0_**_a0_)**_a0_)**2\n",
+      "<lambdifygenerated-158590>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(_a0_**_a0_)**_a0_)**2\n",
+      "<lambdifygenerated-158591>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(_a0_**_a0_)**_a0_)**2\n",
+      " 89%|████████▊ | 1329/1500 [01:37<00:13, 12.91it/s]<lambdifygenerated-158648>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return sinh(relu(_a0_))**_a0_\n",
+      "<lambdifygenerated-158649>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return sinh(relu(_a0_))**_a0_\n",
+      "<lambdifygenerated-158650>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(S1)**_a0_\n",
+      "<lambdifygenerated-158651>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(cos(S1))**_a0_)**2\n",
+      "<lambdifygenerated-158652>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(cos(S1))**_a0_)**2\n",
+      "<lambdifygenerated-158653>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(cos(S1))**_a0_)**2\n",
+      " 89%|████████▊ | 1331/1500 [01:37<00:12, 13.63it/s]<lambdifygenerated-158697>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(relu(exp(cos(S1 + exp(relu(S1**S1)**2/_a0_)))))\n",
+      "<lambdifygenerated-158697>:2: RuntimeWarning: invalid value encountered in cos\n",
+      "  return relu(relu(exp(cos(S1 + exp(relu(S1**S1)**2/_a0_)))))\n",
+      "<lambdifygenerated-158704>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(log(-(S2/_a0_)**relu(relu(S1))))\n",
+      "<lambdifygenerated-158729>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(sinh(S1)**(S1**S1))**2\n",
+      "<lambdifygenerated-158729>:2: RuntimeWarning: overflow encountered in square\n",
+      "  return relu(sinh(S1)**(S1**S1))**2\n",
+      "<lambdifygenerated-158730>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(sinh(S1)**(S1**S1))**2\n",
+      "<lambdifygenerated-158730>:2: RuntimeWarning: overflow encountered in square\n",
+      "  return relu(sinh(S1)**(S1**S1))**2\n",
+      "<lambdifygenerated-158731>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(sinh(S1)**(S1**S1))**2\n",
+      "<lambdifygenerated-158731>:2: RuntimeWarning: overflow encountered in square\n",
+      "  return relu(sinh(S1)**(S1**S1))**2\n",
+      " 89%|████████▉ | 1333/1500 [01:38<00:12, 13.48it/s]<lambdifygenerated-158741>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S1/relu(relu(S1))))\n",
+      "<lambdifygenerated-158742>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S1/relu(relu(S1))))\n",
+      "<lambdifygenerated-158745>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sqrt(S2)*relu(_a0_)**2/(sqrt(log(S1))*abs(relu(fac(S1)))))\n",
+      "<lambdifygenerated-158746>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sqrt(S2)*relu(_a0_)**2/(sqrt(log(S1))*abs(relu(fac(S1)))))\n",
+      "<lambdifygenerated-158747>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sqrt(S2)*relu(_a0_)**2/(sqrt(log(S1))*abs(relu(fac(S1)))))\n",
+      "<lambdifygenerated-158756>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sqrt(sig(log(sin(S2)))/sinh(S1))\n",
+      "<lambdifygenerated-158757>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sqrt(sig(log(sin(S2)))/sinh(S1))\n",
+      "<lambdifygenerated-158758>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sqrt(sig(log(sin(S2)))/sinh(S1))\n",
+      "<lambdifygenerated-158799>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*relu(_a0_**S1)**S1))\n",
+      "<lambdifygenerated-158800>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(S2*relu(_a0_**S1)**S1))\n",
+      "<lambdifygenerated-158803>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return sinh(relu(relu(_a0_)))**_a0_\n",
+      "<lambdifygenerated-158804>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return sinh(relu(relu(_a0_)))**_a0_\n",
+      " 89%|████████▉ | 1335/1500 [01:38<00:12, 12.94it/s]<lambdifygenerated-158817>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2/(_a0_*relu(relu(-S2)))))\n",
+      "<lambdifygenerated-158818>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2/(_a0_*relu(relu(-S2)))))\n",
+      "<lambdifygenerated-158819>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2/(_a0_*relu(relu(-S2)))))\n",
+      "<lambdifygenerated-158834>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return sinh(relu(log(S1)))**_a0_\n",
+      "<lambdifygenerated-158835>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return sinh(relu(log(S1)))**_a0_\n",
+      "<lambdifygenerated-158865>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(S2*relu(sqrt(_a0_))**S1))\n",
+      " 89%|████████▉ | 1337/1500 [01:38<00:12, 13.01it/s]<lambdifygenerated-158885>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sqrt(S2)*relu(_a0_)**2/(sqrt(log(S2))*abs(relu(fac(S1)))))\n",
+      "<lambdifygenerated-158886>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sqrt(S2)*relu(_a0_)**2/(sqrt(log(S2))*abs(relu(fac(S1)))))\n",
+      "<lambdifygenerated-158887>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sqrt(S2)*relu(_a0_)**2/(sqrt(log(S2))*abs(relu(fac(S1)))))\n",
+      "<lambdifygenerated-158891>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(relu(S2/_a0_)/sqrt(S1*(S1**2 + cos(_a0_)))))\n",
+      "<lambdifygenerated-158892>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(relu(S2/_a0_)/sqrt(S1*(S1**2 + cos(_a0_)))))\n",
+      "<lambdifygenerated-158893>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(relu(S2/_a0_)/sqrt(S1*(S1**2 + cos(_a0_)))))\n",
+      "<lambdifygenerated-158894>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return (relu(relu(S2/relu(_a0_)))/relu(S2**S1))**sig(S1)\n",
+      "<lambdifygenerated-158914>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return exp(-sig(_a0_)/S1)/relu(_a0_)\n",
+      "<lambdifygenerated-158918>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-158919>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return cos(S1)**_a0_\n",
+      "<lambdifygenerated-158922>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2/(_a0_*sin(relu(S1)))))\n",
+      "<lambdifygenerated-158924>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sin(S2)**_a0_/(_a0_ + relu(S1))\n",
+      "<lambdifygenerated-158925>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sin(S2)**_a0_/(_a0_ + relu(S1))\n",
+      "<lambdifygenerated-158950>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_**_a0_)**_a0_\n",
+      "<lambdifygenerated-158951>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_**_a0_)**_a0_\n",
+      " 89%|████████▉ | 1339/1500 [01:38<00:12, 12.97it/s]<lambdifygenerated-158956>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-1/relu(relu(S1))))\n",
+      "<lambdifygenerated-158973>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return sinh(relu(_a0_))**_a0_\n",
+      "<lambdifygenerated-158974>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return sinh(relu(_a0_))**_a0_\n",
+      "<lambdifygenerated-158984>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S1/_a0_)**_a0_\n",
+      "<lambdifygenerated-158985>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S1/_a0_)**_a0_\n",
+      "<lambdifygenerated-158988>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return cos(S2)**_a0_/(_a0_ + relu(S1))\n",
+      "<lambdifygenerated-158989>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return cos(S2)**_a0_/(_a0_ + relu(S1))\n",
+      "<lambdifygenerated-159002>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sinh(relu(relu(S1)))**(sqrt(_a0_))\n",
+      "<lambdifygenerated-159003>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sinh(relu(relu(S1)))**(sqrt(_a0_))\n",
+      "<lambdifygenerated-159004>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sinh(relu(relu(S1)))**(sqrt(_a0_))\n",
+      "<lambdifygenerated-159011>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2 + _a0_)**_a0_\n",
+      "<lambdifygenerated-159012>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2 + _a0_)**_a0_\n",
+      " 89%|████████▉ | 1341/1500 [01:38<00:11, 13.57it/s]<lambdifygenerated-159033>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return sinh(relu(relu(S2**S2)))**_a0_\n",
+      "<lambdifygenerated-159034>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return sinh(relu(relu(S2**S2)))**_a0_\n",
+      "<lambdifygenerated-159035>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return sinh(relu(relu(S2**S2)))**_a0_\n",
+      "<lambdifygenerated-159050>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2/(_a0_*relu(relu(_a0_)))))\n",
+      "<lambdifygenerated-159060>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(cos(log(S2**2))/sinh(S1))\n",
+      "<lambdifygenerated-159063>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-S1*S2)*exp(-S1)\n",
+      "<lambdifygenerated-159064>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-S1*S2)*exp(-S1)\n",
+      "<lambdifygenerated-159065>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-S1*S2)*exp(-S1)\n",
+      " 90%|████████▉ | 1343/1500 [01:38<00:11, 13.44it/s]<lambdifygenerated-159090>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-(S2 + _a0_)/relu(relu(S1))))\n",
+      "<lambdifygenerated-159122>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(cos(S1))**_a0_\n",
+      "<lambdifygenerated-159123>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(cos(S1))**_a0_\n",
+      "<lambdifygenerated-159124>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (-sinh(S2))**_a0_\n",
+      "<lambdifygenerated-159125>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (-sinh(S2))**_a0_\n",
+      "<lambdifygenerated-159126>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-_a0_)\n",
+      "<lambdifygenerated-159127>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-_a0_)\n",
+      "<lambdifygenerated-159135>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2/_a0_ + sin((S1 + sin(S1*relu(_a0_))**(S1 + S2))**_a0_))*exp(-S1)\n",
+      "<lambdifygenerated-159136>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2/_a0_ + sin((S1 + sin(S1*relu(_a0_))**(S1 + S2))**_a0_))*exp(-S1)\n",
+      "<lambdifygenerated-159164>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S1*_a0_)**_a0_\n",
+      "<lambdifygenerated-159165>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S1*_a0_)**_a0_\n",
+      " 90%|████████▉ | 1345/1500 [01:38<00:12, 12.29it/s]<lambdifygenerated-159175>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return exp(-S1)*sin((2*S1 + S2 + sin(S1*relu(_a0_)))**_a0_)**(S2/_a0_)\n",
+      "<lambdifygenerated-159176>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return exp(-S1)*sin((2*S1 + S2 + sin(S1*relu(_a0_)))**_a0_)**(S2/_a0_)\n",
+      "<lambdifygenerated-159203>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sqrt(S2)*relu(_a0_)**2/(sqrt(-S2)*abs(relu(fac(S1)))))\n",
+      "<lambdifygenerated-159204>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sqrt(S2)*relu(_a0_)**2/(sqrt(-S2)*abs(relu(fac(S1)))))\n",
+      "<lambdifygenerated-159205>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sqrt(S2)*relu(_a0_)**2/(sqrt(-S2)*abs(relu(fac(S1)))))\n",
+      "<lambdifygenerated-159211>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return (S2**(-S1)*relu(relu(S2/relu(_a0_))))**sig(S1)\n",
+      "<lambdifygenerated-159235>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(log(S1))**_a0_\n",
+      "<lambdifygenerated-159236>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(log(S1))**_a0_\n",
+      " 90%|████████▉ | 1347/1500 [01:39<00:12, 12.57it/s]<lambdifygenerated-159270>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(cos(S2))**_a0_\n",
+      "<lambdifygenerated-159271>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(cos(S2))**_a0_\n",
+      "<lambdifygenerated-159288>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(cos(log(S2**2))/sinh(S1))\n",
+      "<lambdifygenerated-159305>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return exp(-sig(_a0_)/S1)/relu(log(S1))\n",
+      "<lambdifygenerated-159306>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return exp(-sig(_a0_)/S1)/relu(log(S1))\n",
+      "<lambdifygenerated-159307>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return exp(-sig(_a0_)/S1)/relu(log(S1))\n",
+      " 90%|████████▉ | 1349/1500 [01:39<00:11, 13.00it/s]<lambdifygenerated-159311>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(S2/cos(S1))\n",
+      "<lambdifygenerated-159340>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu((sinh(_a0_**S2)**2)**_a0_))\n",
+      "<lambdifygenerated-159341>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu((sinh(_a0_**S2)**2)**_a0_))\n",
+      "<lambdifygenerated-159342>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu((sinh(_a0_**S2)**2)**_a0_))\n",
+      "<lambdifygenerated-159346>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2/(_a0_*relu(relu(_a0_)))))\n",
+      "<lambdifygenerated-159376>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_**S1)**_a0_\n",
+      "<lambdifygenerated-159377>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_**S1)**_a0_\n",
+      "<lambdifygenerated-159381>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_/S2)**_a0_\n",
+      "<lambdifygenerated-159382>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_/S2)**_a0_\n",
+      " 90%|█████████ | 1351/1500 [01:39<00:11, 13.19it/s]<lambdifygenerated-159384>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(sin(S2)/relu(S1))\n",
+      "<lambdifygenerated-159385>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(sin(S2)/relu(S1))\n",
+      "<lambdifygenerated-159420>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(cos(S2)/S1)\n",
+      "<lambdifygenerated-159421>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(cos(S2)/S1)\n",
+      "<lambdifygenerated-159425>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-_a0_**2/relu(relu(S1))))\n",
+      "<lambdifygenerated-159426>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sqrt(S2)*relu(_a0_)**2/(sqrt(-S1)*abs(relu(fac(S1)))))\n",
+      "<lambdifygenerated-159427>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sqrt(S2)*relu(_a0_)**2/(sqrt(-S1)*abs(relu(fac(S1)))))\n",
+      "<lambdifygenerated-159428>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sqrt(S2)*relu(_a0_)**2/(sqrt(-S1)*abs(relu(fac(S1)))))\n",
+      "<lambdifygenerated-159450>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(S1)**_a0_\n",
+      " 90%|█████████ | 1353/1500 [01:39<00:11, 12.88it/s]<lambdifygenerated-159466>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(S2/tan(S1))\n",
+      "<lambdifygenerated-159470>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_/S1)**_a0_/(_a0_ + relu(S1))\n",
+      "<lambdifygenerated-159511>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-S1)*exp(-S1)\n",
+      "<lambdifygenerated-159512>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-S1)*exp(-S1)\n",
+      "<lambdifygenerated-159513>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-S1)*exp(-S1)\n",
+      " 90%|█████████ | 1355/1500 [01:39<00:11, 13.08it/s]<lambdifygenerated-159563>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_/S2)**_a0_\n",
+      "<lambdifygenerated-159564>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_/S2)**_a0_\n",
+      "<lambdifygenerated-159567>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S1*S2/relu(relu(S1))))\n",
+      "<lambdifygenerated-159568>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S1*S2/relu(relu(S1))))\n",
+      "<lambdifygenerated-159586>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return relu(sinh(S2**S2)**(-_a0_))**2\n",
+      "<lambdifygenerated-159587>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return relu(sinh(S2**S2)**(-_a0_))**2\n",
+      "<lambdifygenerated-159588>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return relu(sinh(S2**S2)**(-_a0_))**2\n",
+      "<lambdifygenerated-159589>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S1)**(_a0_**S2)\n",
+      "<lambdifygenerated-159590>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S1)**(_a0_**S2)\n",
+      "<lambdifygenerated-159591>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S1)**(_a0_**S2)\n",
+      "<lambdifygenerated-159593>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu((sinh(S1)**2)**(_a0_**S2)))\n",
+      "<lambdifygenerated-159594>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu((sinh(S1)**2)**(_a0_**S2)))\n",
+      "<lambdifygenerated-159595>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu((sinh(S1)**2)**(_a0_**S2)))\n",
+      " 90%|█████████ | 1357/1500 [01:39<00:10, 13.46it/s]<lambdifygenerated-159601>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(log(-S2*_a0_/relu(_a0_**S1)))\n",
+      "<lambdifygenerated-159601>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2*_a0_/relu(_a0_**S1)))\n",
+      "<lambdifygenerated-159602>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(log(-S2*_a0_/relu(_a0_**S1)))\n",
+      "<lambdifygenerated-159602>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2*_a0_/relu(_a0_**S1)))\n",
+      "<lambdifygenerated-159603>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(log(-S2*_a0_/relu(_a0_**S1)))\n",
+      "<lambdifygenerated-159603>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2*_a0_/relu(_a0_**S1)))\n",
+      "<lambdifygenerated-159630>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_/S1)**_a0_\n",
+      "<lambdifygenerated-159631>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_/S1)**_a0_\n",
+      "<lambdifygenerated-159635>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2*_a0_/relu(relu(2*_a0_))))\n",
+      "<lambdifygenerated-159636>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2*_a0_/relu(relu(2*_a0_))))\n",
+      "<lambdifygenerated-159637>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2*_a0_/relu(relu(2*_a0_))))\n",
+      "<lambdifygenerated-159658>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(sinh(_a0_)**(-_a0_))**2\n",
+      "<lambdifygenerated-159669>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S1*_a0_)**_a0_\n",
+      "<lambdifygenerated-159670>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S1*_a0_)**_a0_\n",
+      " 91%|█████████ | 1359/1500 [01:40<00:10, 13.67it/s]<lambdifygenerated-159679>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(_a0_**S2)**_a0_/(_a0_ + relu(S1))\n",
+      "<lambdifygenerated-159679>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(_a0_**S2)**_a0_/(_a0_ + relu(S1))\n",
+      "<lambdifygenerated-159692>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return sinh(relu(_a0_))**_a0_\n",
+      "<lambdifygenerated-159693>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return sinh(relu(_a0_))**_a0_\n",
+      "<lambdifygenerated-159697>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(log(S1))**_a0_\n",
+      "<lambdifygenerated-159698>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(log(S1))**_a0_\n",
+      "<lambdifygenerated-159703>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S1 + _a0_)**_a0_\n",
+      "<lambdifygenerated-159704>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S1 + _a0_)**_a0_\n",
+      "<lambdifygenerated-159705>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return exp(-sig(_a0_)/S1)/relu(log(S1))\n",
+      "<lambdifygenerated-159706>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return exp(-sig(_a0_)/S1)/relu(log(S1))\n",
+      "<lambdifygenerated-159713>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2*tanh(S1)/relu(relu(S1))))\n",
+      "<lambdifygenerated-159714>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2*tanh(S1)/relu(relu(S1))))\n",
+      "<lambdifygenerated-159715>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2*tanh(S1)/relu(relu(S1))))\n",
+      "<lambdifygenerated-159721>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (relu(relu(S2/relu(_a0_)))/log(S1))**sig(S1)\n",
+      "<lambdifygenerated-159739>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(sinh(relu(_a0_)))**_a0_))\n",
+      "<lambdifygenerated-159740>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(sinh(relu(_a0_)))**_a0_))\n",
+      "<lambdifygenerated-159744>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(S1)**(_a0_**_a0_)\n",
+      "<lambdifygenerated-159745>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(S1)**(_a0_**_a0_)\n",
+      " 91%|█████████ | 1361/1500 [01:40<00:10, 13.71it/s]<lambdifygenerated-159749>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(cos(S2))\n",
+      "<lambdifygenerated-159750>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(cos(S2))\n",
+      "<lambdifygenerated-159772>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(relu(relu(sinh(S1))**(S2**S2)))\n",
+      "<lambdifygenerated-159773>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(relu(relu(sinh(S1))**(S2**S2)))\n",
+      " 91%|█████████ | 1363/1500 [01:40<00:09, 13.73it/s]<lambdifygenerated-159820>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return relu(log(fac(S2/(_a0_*relu(relu(S1))))))\n",
+      "<lambdifygenerated-159821>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return relu(log(fac(S2/(_a0_*relu(relu(S1))))))\n",
+      "<lambdifygenerated-159855>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(sqrt(S2)*relu(_a0_)**2/(sqrt(S1**_a0_)*abs(relu(fac(tan(S2))))))\n",
+      "<lambdifygenerated-159856>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(sqrt(S2)*relu(_a0_)**2/(sqrt(S1**_a0_)*abs(relu(fac(tan(S2))))))\n",
+      "<lambdifygenerated-159857>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(sqrt(S2)*relu(_a0_)**2/(sqrt(S1**_a0_)*abs(relu(fac(tan(S2))))))\n",
+      "<lambdifygenerated-159872>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return sinh(relu(relu(S1/_a0_)))**_a0_\n",
+      "<lambdifygenerated-159873>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return sinh(relu(relu(S1/_a0_)))**_a0_\n",
+      "<lambdifygenerated-159874>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return sinh(relu(relu(S1/_a0_)))**_a0_\n",
+      "<lambdifygenerated-159882>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_**S1)**_a0_\n",
+      "<lambdifygenerated-159883>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_**S1)**_a0_\n",
+      " 91%|█████████ | 1365/1500 [01:40<00:09, 13.57it/s]<lambdifygenerated-159915>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(tan(S1))**_a0_\n",
+      "<lambdifygenerated-159916>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(tan(S1))**_a0_\n",
+      "<lambdifygenerated-159918>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(tan(S1))\n",
+      "<lambdifygenerated-159919>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(tan(S1))\n",
+      "<lambdifygenerated-159921>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2/(_a0_*relu(log(S1)))))\n",
+      " 91%|█████████ | 1367/1500 [01:40<00:09, 14.16it/s]<lambdifygenerated-159964>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S1*_a0_)**_a0_/(_a0_ + relu(S1))\n",
+      "<lambdifygenerated-159977>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return sinh(relu(_a0_))**_a0_\n",
+      "<lambdifygenerated-159978>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return sinh(relu(_a0_))**_a0_\n",
+      "<lambdifygenerated-159984>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(_a0_)**_a0_))\n",
+      "<lambdifygenerated-159985>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(_a0_)**_a0_))\n",
+      "<lambdifygenerated-160021>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_**3)**_a0_\n",
+      "<lambdifygenerated-160022>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_**3)**_a0_\n",
+      " 91%|█████████▏| 1369/1500 [01:40<00:09, 14.08it/s]<lambdifygenerated-160029>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(log(S2))\n",
+      "<lambdifygenerated-160030>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(log(S2))\n",
+      "<lambdifygenerated-160034>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(tan(S1))**_a0_/(_a0_ + relu(S1))\n",
+      "<lambdifygenerated-160041>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(relu(S2/_a0_)/sqrt(S1*(S2 + tan(S1)))))\n",
+      "<lambdifygenerated-160042>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(relu(S2/_a0_)/sqrt(S1*(S2 + tan(S1)))))\n",
+      "<lambdifygenerated-160049>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return sinh(relu(_a0_/S2))**_a0_\n",
+      "<lambdifygenerated-160050>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return sinh(relu(_a0_/S2))**_a0_\n",
+      "<lambdifygenerated-160051>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return sinh(relu(_a0_/S2))**_a0_\n",
+      "<lambdifygenerated-160085>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-160086>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(exp(cos(S1 + exp(relu(_a0_**S2)**2/_a0_)))))\n",
+      "<lambdifygenerated-160087>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(exp(cos(S1 + exp(relu(_a0_**S2)**2/_a0_)))))\n",
+      "<lambdifygenerated-160088>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(exp(cos(S1 + exp(relu(_a0_**S2)**2/_a0_)))))\n",
+      " 91%|█████████▏| 1371/1500 [01:40<00:09, 14.29it/s]<lambdifygenerated-160116>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return sinh(relu(relu(2*_a0_)))**_a0_\n",
+      "<lambdifygenerated-160117>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return sinh(relu(relu(2*_a0_)))**_a0_\n",
+      "<lambdifygenerated-160118>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return sinh(relu(relu(2*_a0_)))**_a0_\n",
+      "<lambdifygenerated-160122>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S1*_a0_)**_a0_\n",
+      "<lambdifygenerated-160123>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S1*_a0_)**_a0_\n",
+      "<lambdifygenerated-160131>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return exp(-_a0_**S2/S1)/relu(S1)\n",
+      "<lambdifygenerated-160131>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return exp(-_a0_**S2/S1)/relu(S1)\n",
+      "<lambdifygenerated-160132>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return exp(-_a0_**S2/S1)/relu(S1)\n",
+      "<lambdifygenerated-160132>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return exp(-_a0_**S2/S1)/relu(S1)\n",
+      "<lambdifygenerated-160133>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(S2/sin(S1))\n",
+      "<lambdifygenerated-160134>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S1/relu(relu(S1))))\n",
+      "<lambdifygenerated-160135>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S1/relu(relu(S1))))\n",
+      "<lambdifygenerated-160162>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(sinh(S1)**(S2**S2))\n",
+      "<lambdifygenerated-160163>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(sinh(S1)**(S2**S2))\n",
+      "<lambdifygenerated-160164>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(sinh(S1)**(S2**S2))\n",
+      " 92%|█████████▏| 1373/1500 [01:41<00:09, 13.60it/s]<lambdifygenerated-160206>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2/(_a0_*relu(relu(_a0_)))))\n",
+      "<lambdifygenerated-160230>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(sinh(tan(S2)))**_a0_))\n",
+      "<lambdifygenerated-160231>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(sinh(tan(S2)))**_a0_))\n",
+      " 92%|█████████▏| 1375/1500 [01:41<00:08, 14.26it/s]<lambdifygenerated-160245>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return _a0_**_a0_/(_a0_ + relu(S1))\n",
+      "<lambdifygenerated-160262>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sinh(S1)**(-_a0_**S2))\n",
+      "<lambdifygenerated-160279>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(cos(S2/(_a0_*relu(relu(S1))))))\n",
+      "<lambdifygenerated-160280>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(cos(S2/(_a0_*relu(relu(S1))))))\n",
+      "<lambdifygenerated-160290>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return exp(-S1)*sqrt(log(_a0_))\n",
+      "<lambdifygenerated-160291>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return exp(-S1)*sqrt(log(_a0_))\n",
+      "<lambdifygenerated-160305>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S1*_a0_)**_a0_\n",
+      "<lambdifygenerated-160306>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S1*_a0_)**_a0_\n",
+      " 92%|█████████▏| 1377/1500 [01:41<00:08, 14.09it/s]<lambdifygenerated-160309>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2/(_a0_*relu(relu(_a0_)))))\n",
+      "<lambdifygenerated-160315>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (relu(relu(S2/relu(_a0_)))/tan(S1))**sig(S1)\n",
+      "<lambdifygenerated-160316>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (relu(relu(S2/relu(_a0_)))/tan(S1))**sig(S1)\n",
+      "<lambdifygenerated-160363>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(_a0_)**_a0_))\n",
+      "<lambdifygenerated-160364>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(_a0_)**_a0_))\n",
+      "<lambdifygenerated-160368>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      " 92%|█████████▏| 1379/1500 [01:41<00:08, 14.09it/s]<lambdifygenerated-160393>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-160403>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-1/relu(relu(S1))))\n",
+      "<lambdifygenerated-160424>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return sinh(relu(relu(_a0_)))**_a0_\n",
+      " 92%|█████████▏| 1381/1500 [01:41<00:08, 14.28it/s]<lambdifygenerated-160463>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return sinh(relu(_a0_))**_a0_\n",
+      "<lambdifygenerated-160464>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return sinh(relu(_a0_))**_a0_\n",
+      "<lambdifygenerated-160494>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (-sinh(relu(S1)))**_a0_\n",
+      "<lambdifygenerated-160495>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (-sinh(relu(S1)))**_a0_\n",
+      " 92%|█████████▏| 1383/1500 [01:41<00:08, 13.97it/s]<lambdifygenerated-160503>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2/(_a0_*cos(relu(S1)))))\n",
+      "<lambdifygenerated-160536>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(_a0_**S2)**_a0_\n",
+      "<lambdifygenerated-160536>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(_a0_**S2)**_a0_\n",
+      "<lambdifygenerated-160537>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(_a0_**S2)**_a0_\n",
+      "<lambdifygenerated-160537>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(_a0_**S2)**_a0_\n",
+      "<lambdifygenerated-160548>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(sqrt(S2)*relu(_a0_)**2/(sqrt(S1**_a0_)*abs(relu(fac(sin(S1))))))\n",
+      "<lambdifygenerated-160549>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(sqrt(S2)*relu(_a0_)**2/(sqrt(S1**_a0_)*abs(relu(fac(sin(S1))))))\n",
+      "<lambdifygenerated-160550>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(sqrt(S2)*relu(_a0_)**2/(sqrt(S1**_a0_)*abs(relu(fac(sin(S1))))))\n",
+      "<lambdifygenerated-160564>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2 + _a0_)**_a0_\n",
+      "<lambdifygenerated-160565>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2 + _a0_)**_a0_\n",
+      " 92%|█████████▏| 1385/1500 [01:41<00:08, 13.44it/s]<lambdifygenerated-160611>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2/(S1*relu(relu(S1)))))\n",
+      "<lambdifygenerated-160612>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S1/relu(S1))\n",
+      "<lambdifygenerated-160613>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S1/relu(S1))\n",
+      "<lambdifygenerated-160614>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S1/relu(S1))\n",
+      "<lambdifygenerated-160629>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return -sqrt(S2*_a0_)/S1\n",
+      "<lambdifygenerated-160649>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return exp(-sig(_a0_)/S1)/relu(_a0_)\n",
+      " 92%|█████████▏| 1387/1500 [01:42<00:08, 13.34it/s]<lambdifygenerated-160655>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sqrt(S2)*relu(_a0_)**2/(sqrt(-S2)*abs(relu(fac(S1)))))\n",
+      "<lambdifygenerated-160656>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sqrt(S2)*relu(_a0_)**2/(sqrt(-S2)*abs(relu(fac(S1)))))\n",
+      "<lambdifygenerated-160684>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return tan(S1)**_a0_\n",
+      "<lambdifygenerated-160686>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-tan(S2)/(_a0_*relu(relu(S1)))))\n",
+      "<lambdifygenerated-160687>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-tan(S2)/(_a0_*relu(relu(S1)))))\n",
+      "<lambdifygenerated-160688>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-tan(S2)/(_a0_*relu(relu(S1)))))\n",
+      "<lambdifygenerated-160719>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (-sinh(S1))**_a0_\n",
+      "<lambdifygenerated-160720>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (-sinh(S1))**_a0_\n",
+      " 93%|█████████▎| 1389/1500 [01:42<00:08, 13.33it/s]<lambdifygenerated-160729>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(log(_a0_))\n",
+      "<lambdifygenerated-160730>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(log(_a0_))\n",
+      "<lambdifygenerated-160731>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(log(_a0_))\n",
+      "<lambdifygenerated-160768>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(_a0_**S1)**_a0_\n",
+      "<lambdifygenerated-160769>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(_a0_**S1)**_a0_\n",
+      "<lambdifygenerated-160783>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (S2/_a0_ + sin((2*S1 + S2 + sqrt(-S1*_a0_))**_a0_))*exp(-S1)\n",
+      "<lambdifygenerated-160784>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (S2/_a0_ + sin((2*S1 + S2 + sqrt(-S1*_a0_))**_a0_))*exp(-S1)\n",
+      " 93%|█████████▎| 1391/1500 [01:42<00:08, 13.01it/s]<lambdifygenerated-160812>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(cos(S1)/S1)\n",
+      "<lambdifygenerated-160813>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(cos(S1)/S1)\n",
+      "<lambdifygenerated-160816>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(_a0_/S2)**_a0_/(_a0_ + relu(S1))\n",
+      "<lambdifygenerated-160845>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2/((S1 + _a0_)*relu(relu(S1)))))\n",
+      "<lambdifygenerated-160846>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2/((S1 + _a0_)*relu(relu(S1)))))\n",
+      "<lambdifygenerated-160847>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2/((S1 + _a0_)*relu(relu(S1)))))\n",
+      "<lambdifygenerated-160861>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(cos(log(S2**3))/sinh(S1))\n",
+      "<lambdifygenerated-160862>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(cos(log(S2**3))/sinh(S1))\n",
+      "<lambdifygenerated-160870>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2*_a0_)**_a0_\n",
+      "<lambdifygenerated-160871>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2*_a0_)**_a0_\n",
+      " 93%|█████████▎| 1393/1500 [01:42<00:08, 13.19it/s]<lambdifygenerated-160904>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(log(S1))**_a0_))\n",
+      "<lambdifygenerated-160905>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(_a0_**S2)**_a0_\n",
+      "<lambdifygenerated-160905>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(_a0_**S2)**_a0_\n",
+      "<lambdifygenerated-160906>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(_a0_**S2)**_a0_\n",
+      "<lambdifygenerated-160906>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(_a0_**S2)**_a0_\n",
+      "<lambdifygenerated-160910>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2/((S1 + S2)*relu(relu(S1)))))\n",
+      "<lambdifygenerated-160911>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2/((S1 + S2)*relu(relu(S1)))))\n",
+      "<lambdifygenerated-160912>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2/((S1 + S2)*relu(relu(S1)))))\n",
+      "<lambdifygenerated-160914>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(S2/tan(S1))\n",
+      "<lambdifygenerated-160925>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sqrt(sig(log(cos(S2)))/sinh(S1))\n",
+      "<lambdifygenerated-160926>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sqrt(sig(log(cos(S2)))/sinh(S1))\n",
+      "<lambdifygenerated-160938>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(sinh(_a0_))**_a0_))\n",
+      " 93%|█████████▎| 1395/1500 [01:42<00:07, 13.83it/s]<lambdifygenerated-160944>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2/(S1*relu(relu(S1)))))\n",
+      "<lambdifygenerated-160958>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return ((1/2)*relu(relu(S2/relu(_a0_)))/_a0_)**sig(S1)\n",
+      "<lambdifygenerated-160973>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return sinh(relu(S1 + _a0_))**_a0_\n",
+      "<lambdifygenerated-160974>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return sinh(relu(S1 + _a0_))**_a0_\n",
+      "<lambdifygenerated-160975>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return sinh(relu(S1 + _a0_))**_a0_\n",
+      " 93%|█████████▎| 1397/1500 [01:42<00:07, 14.04it/s]<lambdifygenerated-161012>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2/(S1*relu(relu(S1)))))\n",
+      "<lambdifygenerated-161067>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S1 + _a0_)**_a0_\n",
+      "<lambdifygenerated-161068>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S1 + _a0_)**_a0_\n",
+      " 93%|█████████▎| 1399/1500 [01:42<00:07, 14.24it/s]<lambdifygenerated-161100>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(sig(log(S2**3))/sinh(sin(S1)))\n",
+      "<lambdifygenerated-161101>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(sig(log(S2**3))/sinh(sin(S1)))\n",
+      "<lambdifygenerated-161102>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(sig(log(S2**3))/sinh(sin(S1)))\n",
+      "<lambdifygenerated-161145>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-161147>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sinh(relu(relu(log(_a0_))))**_a0_\n",
+      "<lambdifygenerated-161148>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sinh(relu(relu(log(_a0_))))**_a0_\n",
+      "<lambdifygenerated-161149>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sinh(relu(relu(log(_a0_))))**_a0_\n",
+      "<lambdifygenerated-161156>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return sinh(S1)**(S1**S2)\n",
+      "<lambdifygenerated-161157>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return sinh(S1)**(S1**S2)\n",
+      "<lambdifygenerated-161158>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return sinh(S1)**(S1**S2)\n",
+      " 93%|█████████▎| 1401/1500 [01:43<00:07, 13.92it/s]<lambdifygenerated-161167>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_/S2)**_a0_/(_a0_ + relu(S1))\n",
+      "<lambdifygenerated-161172>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(relu(relu(S2/_a0_)/sqrt(S1*(-S1 + S2))))\n",
+      "<lambdifygenerated-161173>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(relu(relu(S2/_a0_)/sqrt(S1*(-S1 + S2))))\n",
+      "<lambdifygenerated-161180>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sin(S1)**_a0_\n",
+      "<lambdifygenerated-161197>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(S2/cos(S2))\n",
+      "<lambdifygenerated-161198>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(S2/cos(S2))\n",
+      " 94%|█████████▎| 1403/1500 [01:43<00:07, 13.45it/s]<lambdifygenerated-161238>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S1/relu(S1)))\n",
+      "<lambdifygenerated-161239>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S1/relu(S1)))\n",
+      "<lambdifygenerated-161240>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S1/relu(S1)))\n",
+      "<lambdifygenerated-161250>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(relu(S2/_a0_)/sqrt(S1*(S1**2 - _a0_))))\n",
+      "<lambdifygenerated-161251>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(relu(S2/_a0_)/sqrt(S1*(S1**2 - _a0_))))\n",
+      "<lambdifygenerated-161252>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(relu(S2/_a0_)/sqrt(S1*(S1**2 - _a0_))))\n",
+      "<lambdifygenerated-161258>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S1/_a0_)**_a0_\n",
+      "<lambdifygenerated-161259>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S1/_a0_)**_a0_\n",
+      "<lambdifygenerated-161265>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return sinh(relu(S2*_a0_))**_a0_\n",
+      "<lambdifygenerated-161266>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return sinh(relu(S2*_a0_))**_a0_\n",
+      "<lambdifygenerated-161275>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log(S2/relu(S1 + _a0_))\n",
+      "<lambdifygenerated-161278>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sqrt(S2)*relu(_a0_)**2/(sqrt(-S2)*abs(relu(fac(S1)))))\n",
+      "<lambdifygenerated-161279>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sqrt(S2)*relu(_a0_)**2/(sqrt(-S2)*abs(relu(fac(S1)))))\n",
+      "<lambdifygenerated-161303>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return sinh(relu(_a0_))**_a0_\n",
+      "<lambdifygenerated-161304>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return sinh(relu(_a0_))**_a0_\n",
+      "<lambdifygenerated-161307>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sin(S1)**_a0_\n",
+      " 94%|█████████▎| 1405/1500 [01:43<00:07, 12.85it/s]<lambdifygenerated-161314>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sqrt(S2)*relu(_a0_)**2/(sqrt(sin(S2))*abs(relu(fac(S1)))))\n",
+      "<lambdifygenerated-161315>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sqrt(S2)*relu(_a0_)**2/(sqrt(sin(S2))*abs(relu(fac(S1)))))\n",
+      "<lambdifygenerated-161316>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sqrt(S2)*relu(_a0_)**2/(sqrt(sin(S2))*abs(relu(fac(S1)))))\n",
+      "<lambdifygenerated-161330>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return sinh(relu(_a0_))**_a0_\n",
+      "<lambdifygenerated-161331>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return sinh(relu(_a0_))**_a0_\n",
+      "<lambdifygenerated-161366>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return sinh(relu(relu(_a0_)))**_a0_\n",
+      " 94%|█████████▍| 1407/1500 [01:43<00:07, 13.16it/s]<lambdifygenerated-161399>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return sinh(relu(relu(tanh(_a0_))))**_a0_\n",
+      "<lambdifygenerated-161400>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return sinh(relu(relu(tanh(_a0_))))**_a0_\n",
+      "<lambdifygenerated-161401>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return sinh(relu(relu(tanh(_a0_))))**_a0_\n",
+      "<lambdifygenerated-161402>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(S1*_a0_)**_a0_))\n",
+      "<lambdifygenerated-161403>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(S1*_a0_)**_a0_))\n",
+      "<lambdifygenerated-161407>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return exp(-_a0_**S1/S1)/relu(S1)\n",
+      "<lambdifygenerated-161408>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return exp(-_a0_**S1/S1)/relu(S1)\n",
+      "<lambdifygenerated-161409>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return exp(-_a0_**S1/S1)/relu(S1)\n",
+      "<lambdifygenerated-161410>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2))\n",
+      "<lambdifygenerated-161411>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2))\n",
+      "<lambdifygenerated-161412>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2))\n",
+      " 94%|█████████▍| 1409/1500 [01:43<00:07, 12.81it/s]<lambdifygenerated-161460>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return (S1**(-S1)*relu(relu(S2/relu(_a0_))))**sig(S1)\n",
+      "<lambdifygenerated-161475>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sin(S1)**(2*_a0_)\n",
+      "<lambdifygenerated-161476>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sin(S1)**(2*_a0_)\n",
+      "<lambdifygenerated-161479>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return sinh(relu(_a0_))**_a0_\n",
+      "<lambdifygenerated-161480>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return sinh(relu(_a0_))**_a0_\n",
+      "<lambdifygenerated-161483>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-161519>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sin(S1)**_a0_\n",
+      " 94%|█████████▍| 1411/1500 [01:43<00:07, 11.90it/s]<lambdifygenerated-161524>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2**2))\n",
+      "<lambdifygenerated-161525>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2**2))\n",
+      "<lambdifygenerated-161526>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2**2))\n",
+      "<lambdifygenerated-161527>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S1)\n",
+      "<lambdifygenerated-161528>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(-S1)\n",
+      "<lambdifygenerated-161556>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu(exp(cos(_a0_**_a0_ + exp(relu(relu(S2))**2/_a0_)))))\n",
+      "<lambdifygenerated-161557>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu(exp(cos(_a0_**_a0_ + exp(relu(relu(S2))**2/_a0_)))))\n",
+      "<lambdifygenerated-161558>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(relu(exp(cos(_a0_**_a0_ + exp(relu(relu(S2))**2/_a0_)))))\n",
+      "<lambdifygenerated-161561>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(_a0_)**_a0_))\n",
+      "<lambdifygenerated-161562>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(_a0_)**_a0_))\n",
+      "<lambdifygenerated-161568>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(S2/log(S2))\n",
+      "<lambdifygenerated-161569>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(S2/log(S2))\n",
+      "<lambdifygenerated-161587>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return cos(S1)**_a0_\n",
+      " 94%|█████████▍| 1413/1500 [01:44<00:06, 12.50it/s]<lambdifygenerated-161626>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(sin(sinh(S1))**_a0_))\n",
+      "<lambdifygenerated-161646>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(sinh(S1)/_a0_)*exp(-S1)\n",
+      "<lambdifygenerated-161651>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S1/_a0_)**_a0_\n",
+      "<lambdifygenerated-161652>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S1/_a0_)**_a0_\n",
+      " 94%|█████████▍| 1415/1500 [01:44<00:06, 12.86it/s]<lambdifygenerated-161712>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return (_a0_**(-_a0_)*relu(relu(S2/relu(_a0_))))**sig(S1)\n",
+      "<lambdifygenerated-161712>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return (_a0_**(-_a0_)*relu(relu(S2/relu(_a0_))))**sig(S1)\n",
+      "<lambdifygenerated-161716>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(sig(log(S2**3))/sinh(S2 + _a0_))\n",
+      "<lambdifygenerated-161720>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return exp(-S1)*sqrt(log(S1))\n",
+      "<lambdifygenerated-161721>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return exp(-S1)*sqrt(log(S1))\n",
+      "<lambdifygenerated-161722>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return exp(-S1)*sqrt(log(S1))\n",
+      "<lambdifygenerated-161726>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_**3)**_a0_\n",
+      "<lambdifygenerated-161727>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_**3)**_a0_\n",
+      "<lambdifygenerated-161730>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return _a0_**(2*_a0_)\n",
+      "<lambdifygenerated-161731>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return _a0_**(2*_a0_)\n",
+      "<lambdifygenerated-161732>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return _a0_**(2*_a0_)\n",
+      "<lambdifygenerated-161736>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(_a0_**S2)**_a0_\n",
+      "<lambdifygenerated-161737>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(_a0_**S2)**_a0_\n",
+      " 94%|█████████▍| 1417/1500 [01:44<00:09,  8.63it/s]<lambdifygenerated-161772>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return sinh(relu(relu(_a0_)))**_a0_\n",
+      "<lambdifygenerated-161782>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(_a0_/relu(S1)))\n",
+      "<lambdifygenerated-161783>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(_a0_/relu(S1)))\n",
+      "<lambdifygenerated-161784>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(_a0_/relu(S1)))\n",
+      " 95%|█████████▍| 1419/1500 [01:44<00:08,  9.36it/s]<lambdifygenerated-161818>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2/relu(S1)))\n",
+      "<lambdifygenerated-161819>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2/relu(S1)))\n",
+      "<lambdifygenerated-161820>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2/relu(S1)))\n",
+      "<lambdifygenerated-161885>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(relu(relu(sinh(_a0_))**_a0_))\n",
+      " 95%|█████████▍| 1421/1500 [01:44<00:07, 10.16it/s]<lambdifygenerated-161911>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(_a0_/S1)**_a0_\n",
+      "<lambdifygenerated-161912>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(_a0_/S1)**_a0_\n",
+      "<lambdifygenerated-161926>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(log(S2/S1))\n",
+      "<lambdifygenerated-161947>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-161951>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(relu(S2*relu(log(_a0_))**S1))\n",
+      "<lambdifygenerated-161954>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return sinh(relu(S2 + _a0_))**_a0_\n",
+      "<lambdifygenerated-161955>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return sinh(relu(S2 + _a0_))**_a0_\n",
+      "<lambdifygenerated-161956>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(S2 + _a0_)**_a0_))\n",
+      "<lambdifygenerated-161957>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(S2 + _a0_)**_a0_))\n",
+      " 95%|█████████▍| 1423/1500 [01:45<00:07, 10.99it/s]<lambdifygenerated-161968>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(S2/log(S1))\n",
+      "<lambdifygenerated-161984>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**(2*_a0_)\n",
+      "<lambdifygenerated-161985>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**(2*_a0_)\n",
+      "<lambdifygenerated-162028>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(S1*_a0_)**_a0_))\n",
+      "<lambdifygenerated-162029>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(relu(relu(S1*_a0_)**_a0_))\n",
+      " 95%|█████████▌| 1425/1500 [01:45<00:06, 11.53it/s]<lambdifygenerated-162062>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return sinh(relu(_a0_))**_a0_\n",
+      "<lambdifygenerated-162063>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return sinh(relu(_a0_))**_a0_\n",
+      "<lambdifygenerated-162078>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sqrt(S2)*relu(_a0_)**2/(sqrt(relu(fac(S1)))*sqrt(cos(S1))))\n",
+      "<lambdifygenerated-162079>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sqrt(S2)*relu(_a0_)**2/(sqrt(relu(fac(S1)))*sqrt(cos(S1))))\n",
+      "<lambdifygenerated-162080>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sqrt(S2)*relu(_a0_)**2/(sqrt(relu(fac(S1)))*sqrt(cos(S1))))\n",
+      "<lambdifygenerated-162088>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(relu(S2/_a0_)/sqrt(S1*(S2 + log(S1)))))\n",
+      "<lambdifygenerated-162089>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(relu(S2/_a0_)/sqrt(S1*(S2 + log(S1)))))\n",
+      "<lambdifygenerated-162094>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(_a0_/S2)**(2*_a0_)\n",
+      "<lambdifygenerated-162095>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(_a0_/S2)**(2*_a0_)\n",
+      "<lambdifygenerated-162096>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(_a0_/S2)**(2*_a0_)\n",
+      "<lambdifygenerated-162097>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(relu(S2*relu(sig(log(_a0_)))**S1))\n",
+      "<lambdifygenerated-162098>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(relu(S2*relu(sig(log(_a0_)))**S1))\n",
+      " 95%|█████████▌| 1427/1500 [01:45<00:06, 12.04it/s]<lambdifygenerated-162143>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(cos(_a0_)/relu(S1))\n",
+      "<lambdifygenerated-162168>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2 + _a0_)**(2*_a0_)\n",
+      "<lambdifygenerated-162169>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2 + _a0_)**(2*_a0_)\n",
+      "<lambdifygenerated-162170>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2 + _a0_)**(2*_a0_)\n",
+      "<lambdifygenerated-162172>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sqrt(relu(sinh(_a0_**S2))**_a0_))\n",
+      "<lambdifygenerated-162172>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sqrt(relu(sinh(_a0_**S2))**_a0_))\n",
+      "<lambdifygenerated-162173>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sqrt(relu(sinh(_a0_**S2))**_a0_))\n",
+      "<lambdifygenerated-162173>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sqrt(relu(sinh(_a0_**S2))**_a0_))\n",
+      "<lambdifygenerated-162174>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sqrt(relu(sinh(_a0_**S2))**_a0_))\n",
+      "<lambdifygenerated-162174>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sqrt(relu(sinh(_a0_**S2))**_a0_))\n",
+      " 95%|█████████▌| 1429/1500 [01:45<00:05, 12.23it/s]<lambdifygenerated-162218>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2*_a0_/tan(S1)))\n",
+      "<lambdifygenerated-162219>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2*_a0_/tan(S1)))\n",
+      "<lambdifygenerated-162223>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return cos(S2)**_a0_/(_a0_ + relu(S1))\n",
+      "<lambdifygenerated-162239>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_**S2)**(2*_a0_)\n",
+      "<lambdifygenerated-162240>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_**S2)**(2*_a0_)\n",
+      "<lambdifygenerated-162241>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_**S2)**(2*_a0_)\n",
+      "<lambdifygenerated-162244>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return sinh(relu(_a0_))**_a0_\n",
+      "<lambdifygenerated-162245>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return sinh(relu(_a0_))**_a0_\n",
+      "<lambdifygenerated-162248>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(S2 + _a0_)**_a0_\n",
+      "<lambdifygenerated-162249>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(S2 + _a0_)**_a0_\n",
+      "<lambdifygenerated-162250>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_/S2)**_a0_\n",
+      "<lambdifygenerated-162251>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_/S2)**_a0_\n",
+      " 95%|█████████▌| 1431/1500 [01:45<00:05, 12.23it/s]<lambdifygenerated-162255>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(S2**3*_a0_**3/relu(S1)**3))\n",
+      "<lambdifygenerated-162256>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(S2**3*_a0_**3/relu(S1)**3))\n",
+      "<lambdifygenerated-162291>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return sinh(fac(_a0_))**_a0_\n",
+      "<lambdifygenerated-162292>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return sinh(fac(_a0_))**_a0_\n",
+      "<lambdifygenerated-162295>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-cos(S2)/relu(S1)))\n",
+      "<lambdifygenerated-162296>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-cos(S2)/relu(S1)))\n",
+      "<lambdifygenerated-162297>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-cos(S2)/relu(S1)))\n",
+      "<lambdifygenerated-162318>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sqrt(relu(-sinh(S2))**_a0_))\n",
+      "<lambdifygenerated-162319>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sqrt(relu(-sinh(S2))**_a0_))\n",
+      "<lambdifygenerated-162320>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sqrt(relu(-sinh(S2))**_a0_))\n",
+      "<lambdifygenerated-162321>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return sinh(relu(_a0_))**_a0_\n",
+      "<lambdifygenerated-162322>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return sinh(relu(_a0_))**_a0_\n",
+      " 96%|█████████▌| 1433/1500 [01:45<00:05, 12.27it/s]<lambdifygenerated-162333>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S1*S2/relu(S1)))\n",
+      "<lambdifygenerated-162334>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S1*S2/relu(S1)))\n",
+      "<lambdifygenerated-162345>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sqrt(sig(log(-_a0_**3))/sinh(S1))\n",
+      "<lambdifygenerated-162346>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sqrt(sig(log(-_a0_**3))/sinh(S1))\n",
+      "<lambdifygenerated-162347>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sqrt(sig(log(-_a0_**3))/sinh(S1))\n",
+      "<lambdifygenerated-162357>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S2/_a0_)**(2*_a0_)\n",
+      "<lambdifygenerated-162358>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S2/_a0_)**(2*_a0_)\n",
+      "<lambdifygenerated-162359>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S2/_a0_)**(2*_a0_)\n",
+      "<lambdifygenerated-162392>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-162396>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return sinh(S1)**(2*S2**S2)\n",
+      "<lambdifygenerated-162397>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return sinh(S1)**(2*S2**S2)\n",
+      "<lambdifygenerated-162398>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return sinh(S1)**(2*S2**S2)\n",
+      "<lambdifygenerated-162399>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sqrt(tan(sinh(S1))**_a0_))\n",
+      "<lambdifygenerated-162400>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sqrt(tan(sinh(S1))**_a0_))\n",
+      " 96%|█████████▌| 1435/1500 [01:46<00:05, 11.53it/s]<lambdifygenerated-162428>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-S1)*exp(-S1)\n",
+      "<lambdifygenerated-162429>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(-S1)*exp(-S1)\n",
+      "<lambdifygenerated-162433>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_/S2)**_a0_\n",
+      "<lambdifygenerated-162434>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_/S2)**_a0_\n",
+      "<lambdifygenerated-162435>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sqrt(relu(_a0_**S1)**_a0_))\n",
+      "<lambdifygenerated-162435>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sqrt(relu(_a0_**S1)**_a0_))\n",
+      "<lambdifygenerated-162436>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sqrt(relu(_a0_**S1)**_a0_))\n",
+      "<lambdifygenerated-162436>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sqrt(relu(_a0_**S1)**_a0_))\n",
+      "<lambdifygenerated-162437>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sqrt(relu(_a0_**S1)**_a0_))\n",
+      "<lambdifygenerated-162437>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sqrt(relu(_a0_**S1)**_a0_))\n",
+      "<lambdifygenerated-162448>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_/S1)**_a0_\n",
+      "<lambdifygenerated-162449>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_/S1)**_a0_\n",
+      "<lambdifygenerated-162453>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2*_a0_/relu(_a0_)))\n",
+      "<lambdifygenerated-162454>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2*_a0_/relu(_a0_)))\n",
+      "<lambdifygenerated-162481>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S2/_a0_)**_a0_\n",
+      "<lambdifygenerated-162482>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S2/_a0_)**_a0_\n",
+      "<lambdifygenerated-162486>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return (_a0_**_a0_)**_a0_\n",
+      "<lambdifygenerated-162487>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return (_a0_**_a0_)**_a0_\n",
+      " 96%|█████████▌| 1437/1500 [01:46<00:05, 11.47it/s]<lambdifygenerated-162517>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(sqrt(relu(sinh(sin(_a0_)))**_a0_))\n",
+      "<lambdifygenerated-162518>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(sqrt(relu(sinh(sin(_a0_)))**_a0_))\n",
+      "<lambdifygenerated-162519>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(sqrt(relu(sinh(sin(_a0_)))**_a0_))\n",
+      "<lambdifygenerated-162528>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(tan(S2*_a0_/relu(S1))))\n",
+      "<lambdifygenerated-162529>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(tan(S2*_a0_/relu(S1))))\n",
+      "<lambdifygenerated-162549>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sqrt(relu(_a0_**S2)**_a0_))\n",
+      "<lambdifygenerated-162549>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sqrt(relu(_a0_**S2)**_a0_))\n",
+      "<lambdifygenerated-162550>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sqrt(relu(_a0_**S2)**_a0_))\n",
+      "<lambdifygenerated-162550>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sqrt(relu(_a0_**S2)**_a0_))\n",
+      "<lambdifygenerated-162551>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(sqrt(relu(_a0_**S2)**_a0_))\n",
+      "<lambdifygenerated-162551>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sqrt(relu(_a0_**S2)**_a0_))\n",
+      " 96%|█████████▌| 1439/1500 [01:46<00:05, 11.88it/s]<lambdifygenerated-162563>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2*sinh(S1)/relu(S1)))\n",
+      "<lambdifygenerated-162564>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2*sinh(S1)/relu(S1)))\n",
+      "<lambdifygenerated-162565>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2*sinh(S1)/relu(S1)))\n",
+      "<lambdifygenerated-162566>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(S2/log(S1))\n",
+      "<lambdifygenerated-162582>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S2 + _a0_)**_a0_\n",
+      "<lambdifygenerated-162583>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S2 + _a0_)**_a0_\n",
+      "<lambdifygenerated-162597>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2*_a0_/relu(S1)))**3\n",
+      "<lambdifygenerated-162621>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return relu(sqrt(relu(sinh(S1**S2))**_a0_))\n",
+      "<lambdifygenerated-162622>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return relu(sqrt(relu(sinh(S1**S2))**_a0_))\n",
+      "<lambdifygenerated-162623>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return relu(sqrt(relu(sinh(S1**S2))**_a0_))\n",
+      " 96%|█████████▌| 1441/1500 [01:46<00:04, 12.21it/s]<lambdifygenerated-162636>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-_a0_*fac(S2)/relu(S1)))\n",
+      "<lambdifygenerated-162640>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sqrt(S2)*relu(_a0_)**2/(sqrt(S1**_a0_)*sqrt(log(fac(S1)))))\n",
+      "<lambdifygenerated-162641>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sqrt(S2)*relu(_a0_)**2/(sqrt(S1**_a0_)*sqrt(log(fac(S1)))))\n",
+      "<lambdifygenerated-162657>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(sqrt(relu(sinh(S1))**(S2**S2)))\n",
+      "<lambdifygenerated-162658>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(sqrt(relu(sinh(S1))**(S2**S2)))\n",
+      "<lambdifygenerated-162659>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(sqrt(relu(sinh(S1))**(S2**S2)))\n",
+      "<lambdifygenerated-162667>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(_a0_)**_a0_\n",
+      "<lambdifygenerated-162673>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2/S1))\n",
+      "<lambdifygenerated-162674>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2/S1))\n",
+      "<lambdifygenerated-162675>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2/S1))\n",
+      "<lambdifygenerated-162681>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return (relu(relu(S2/relu(_a0_)))/relu(-S2))**sig(S1)\n",
+      "<lambdifygenerated-162682>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return (relu(relu(S2/relu(_a0_)))/relu(-S2))**sig(S1)\n",
+      "<lambdifygenerated-162702>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(relu(exp(cos(S1 + log(relu(relu(S2))**2/_a0_)))))\n",
+      "<lambdifygenerated-162703>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(relu(exp(cos(S1 + log(relu(relu(S2))**2/_a0_)))))\n",
+      "<lambdifygenerated-162706>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_/S2)**_a0_\n",
+      "<lambdifygenerated-162707>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_/S2)**_a0_\n",
+      " 96%|█████████▌| 1443/1500 [01:46<00:04, 12.45it/s]<lambdifygenerated-162740>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return _a0_**(2*_a0_)\n",
+      "<lambdifygenerated-162741>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return _a0_**(2*_a0_)\n",
+      " 96%|█████████▋| 1445/1500 [01:46<00:04, 11.67it/s]<lambdifygenerated-162820>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(exp(-sig(_a0_)/S1)/relu(tanh(_a0_)))\n",
+      "<lambdifygenerated-162821>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(exp(-sig(_a0_)/S1)/relu(tanh(_a0_)))\n",
+      "<lambdifygenerated-162822>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(exp(-sig(_a0_)/S1)/relu(tanh(_a0_)))\n",
+      " 96%|█████████▋| 1447/1500 [01:47<00:04, 12.16it/s]<lambdifygenerated-162872>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return sqrt(sig(log(S2**3))/sinh(S2**S1))\n",
+      "<lambdifygenerated-162873>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return sqrt(sig(log(S2**3))/sinh(S2**S1))\n",
+      "<lambdifygenerated-162874>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return sqrt(sig(log(S2**3))/sinh(S2**S1))\n",
+      "<lambdifygenerated-162876>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return relu(S2)*relu(sig(sig(relu(_a0_))))**(_a0_*exp(S2))\n",
+      " 97%|█████████▋| 1449/1500 [01:47<00:04, 12.31it/s]<lambdifygenerated-162933>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(sig(log(S2**3))/sinh(S2*_a0_))\n",
+      "<lambdifygenerated-162945>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(sin(S1))**_a0_\n",
+      "<lambdifygenerated-162954>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S1/relu(S1)))\n",
+      "<lambdifygenerated-162955>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S1/relu(S1)))\n",
+      "<lambdifygenerated-162975>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return (_a0_**_a0_)**_a0_\n",
+      "<lambdifygenerated-162976>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return (_a0_**_a0_)**_a0_\n",
+      "<lambdifygenerated-162979>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(sin(S1))**_a0_\n",
+      " 97%|█████████▋| 1451/1500 [01:47<00:04, 12.18it/s]<lambdifygenerated-163007>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(relu(relu(S2/_a0_)/sqrt(S1*(-S1 + S2))))\n",
+      "<lambdifygenerated-163008>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(sin(log(S2**3))/sinh(S1))\n",
+      "<lambdifygenerated-163009>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(sin(log(S2**3))/sinh(S1))\n",
+      "<lambdifygenerated-163015>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(sqrt(relu(_a0_)**_a0_))\n",
+      "<lambdifygenerated-163016>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(sqrt(relu(_a0_)**_a0_))\n",
+      "<lambdifygenerated-163017>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(sqrt(relu(_a0_)**_a0_))\n",
+      "<lambdifygenerated-163019>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S1/_a0_)**(2*_a0_)\n",
+      "<lambdifygenerated-163020>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S1/_a0_)**(2*_a0_)\n",
+      "<lambdifygenerated-163021>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S1/_a0_)**(2*_a0_)\n",
+      "<lambdifygenerated-163052>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(sqrt(relu(sinh(_a0_))**_a0_))\n",
+      "<lambdifygenerated-163053>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(sqrt(relu(sinh(_a0_))**_a0_))\n",
+      " 97%|█████████▋| 1453/1500 [01:47<00:03, 12.51it/s]<lambdifygenerated-163088>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-163089>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-163103>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(sin(S2))\n",
+      "<lambdifygenerated-163104>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(sin(S2))\n",
+      "<lambdifygenerated-163108>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return (relu(relu(S2/relu(_a0_)))/relu(cosh(S2)))**sig(S1)\n",
+      "<lambdifygenerated-163121>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(S1)**_a0_\n",
+      "<lambdifygenerated-163127>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return _a0_**(2*_a0_)\n",
+      "<lambdifygenerated-163128>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return _a0_**(2*_a0_)\n",
+      " 97%|█████████▋| 1455/1500 [01:47<00:03, 12.86it/s]<lambdifygenerated-163159>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return sinh(S1**S2)**_a0_\n",
+      "<lambdifygenerated-163160>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return sinh(S1**S2)**_a0_\n",
+      "<lambdifygenerated-163161>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-163162>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-163163>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sqrt(_a0_ + relu(sinh(S1))))\n",
+      "<lambdifygenerated-163164>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sqrt(_a0_ + relu(sinh(S1))))\n",
+      "<lambdifygenerated-163174>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S1*_a0_)**_a0_\n",
+      "<lambdifygenerated-163175>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S1*_a0_)**_a0_\n",
+      "<lambdifygenerated-163178>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S1*S2))\n",
+      "<lambdifygenerated-163179>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S1*S2))\n",
+      "<lambdifygenerated-163180>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S1*S2))\n",
+      "<lambdifygenerated-163200>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return sinh(relu(_a0_))**_a0_\n",
+      "<lambdifygenerated-163210>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_**_a0_)**_a0_\n",
+      "<lambdifygenerated-163211>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_**_a0_)**_a0_\n",
+      " 97%|█████████▋| 1457/1500 [01:47<00:03, 12.82it/s]<lambdifygenerated-163237>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(S1)**(2*_a0_)\n",
+      "<lambdifygenerated-163238>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return log(S1)**(2*_a0_)\n",
+      "<lambdifygenerated-163243>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-163244>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(exp(-sig(_a0_)/S1)/relu(_a0_**_a0_))\n",
+      "<lambdifygenerated-163245>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(exp(-sig(_a0_)/S1)/relu(_a0_**_a0_))\n",
+      "<lambdifygenerated-163246>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return relu(exp(-sig(_a0_)/S1)/relu(_a0_**_a0_))\n",
+      "<lambdifygenerated-163271>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sqrt(_a0_*relu(sinh(S1))))\n",
+      "<lambdifygenerated-163272>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sqrt(_a0_*relu(sinh(S1))))\n",
+      " 97%|█████████▋| 1459/1500 [01:47<00:03, 13.32it/s]<lambdifygenerated-163290>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sqrt(sig(log(tan(S2)**3))/sinh(S1))\n",
+      "<lambdifygenerated-163291>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sqrt(sig(log(tan(S2)**3))/sinh(S1))\n",
+      "<lambdifygenerated-163292>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sqrt(sig(log(tan(S2)**3))/sinh(S1))\n",
+      "<lambdifygenerated-163311>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-163318>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(log(S2*_a0_/relu(S1))))\n",
+      "<lambdifygenerated-163319>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(log(S2*_a0_/relu(S1))))\n",
+      "<lambdifygenerated-163331>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(sinh(log(S2**3))/sinh(S1))\n",
+      "<lambdifygenerated-163332>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(sinh(log(S2**3))/sinh(S1))\n",
+      "<lambdifygenerated-163344>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_**S1)**(2*_a0_)\n",
+      "<lambdifygenerated-163345>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_**S1)**(2*_a0_)\n",
+      "<lambdifygenerated-163346>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_**S1)**(2*_a0_)\n",
+      " 97%|█████████▋| 1461/1500 [01:48<00:03, 12.98it/s]<lambdifygenerated-163356>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-sig(_a0_)/relu(S1)))\n",
+      "<lambdifygenerated-163357>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-sig(_a0_)/relu(S1)))\n",
+      "<lambdifygenerated-163358>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-sig(_a0_)/relu(S1)))\n",
+      "<lambdifygenerated-163381>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(2*_a0_)**_a0_\n",
+      "<lambdifygenerated-163382>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(2*_a0_)**_a0_\n",
+      "<lambdifygenerated-163429>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return sinh(S1)**(S2**S2)\n",
+      "<lambdifygenerated-163430>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return sinh(S1)**(S2**S2)\n",
+      " 98%|█████████▊| 1463/1500 [01:48<00:03, 11.95it/s]<lambdifygenerated-163434>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2))\n",
+      "<lambdifygenerated-163435>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2))\n",
+      "<lambdifygenerated-163470>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S1/_a0_)**_a0_\n",
+      "<lambdifygenerated-163471>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S1/_a0_)**_a0_\n",
+      "<lambdifygenerated-163478>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-_a0_**2/relu(S1)))\n",
+      "<lambdifygenerated-163479>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-_a0_**2/relu(S1)))\n",
+      "<lambdifygenerated-163502>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sqrt(relu(sinh(S1))/_a0_))\n",
+      "<lambdifygenerated-163503>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sqrt(relu(sinh(S1))/_a0_))\n",
+      "<lambdifygenerated-163509>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(exp(cos(S1 + exp(_a0_**(-S1)*relu(relu(relu(S2)))**2)))))\n",
+      "<lambdifygenerated-163510>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(exp(cos(S1 + exp(_a0_**(-S1)*relu(relu(relu(S2)))**2)))))\n",
+      "<lambdifygenerated-163511>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(exp(cos(S1 + exp(_a0_**(-S1)*relu(relu(relu(S2)))**2)))))\n",
+      " 98%|█████████▊| 1465/1500 [01:48<00:02, 11.86it/s]<lambdifygenerated-163515>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2*_a0_/relu(S2 + _a0_)))\n",
+      "<lambdifygenerated-163516>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(log(-S2*_a0_/relu(S2 + _a0_)))\n",
+      "<lambdifygenerated-163535>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(tan(S1))**_a0_\n",
+      "<lambdifygenerated-163536>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(sqrt(relu(sinh(log(_a0_)))**_a0_))\n",
+      "<lambdifygenerated-163537>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(sqrt(relu(sinh(log(_a0_)))**_a0_))\n",
+      "<lambdifygenerated-163538>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(sqrt(relu(sinh(log(_a0_)))**_a0_))\n",
+      "<lambdifygenerated-163572>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-163582>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S1 + _a0_)**_a0_\n",
+      "<lambdifygenerated-163583>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S1 + _a0_)**_a0_\n",
+      " 98%|█████████▊| 1467/1500 [01:48<00:02, 11.07it/s]<lambdifygenerated-163632>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (relu(relu(S2/relu(sqrt(_a0_))))/relu(_a0_))**sig(S1)\n",
+      "<lambdifygenerated-163651>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(sqrt(relu(_a0_)**_a0_))\n",
+      "<lambdifygenerated-163652>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(sqrt(relu(_a0_)**_a0_))\n",
+      " 98%|█████████▊| 1469/1500 [01:48<00:02, 11.61it/s]<lambdifygenerated-163662>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2*_a0_/tan(S1)))\n",
+      "<lambdifygenerated-163708>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return (relu(relu(S2 + relu(sqrt(_a0_))))/relu(S1))**sig(S1)\n",
+      "<lambdifygenerated-163718>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_**S1)**_a0_\n",
+      "<lambdifygenerated-163719>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_**S1)**_a0_\n",
+      "<lambdifygenerated-163722>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sqrt(relu(sinh(S1))/_a0_))\n",
+      "<lambdifygenerated-163723>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2*_a0_)**_a0_\n",
+      "<lambdifygenerated-163724>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2*_a0_)**_a0_\n",
+      "<lambdifygenerated-163733>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S1 + _a0_)**_a0_\n",
+      "<lambdifygenerated-163734>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S1 + _a0_)**_a0_\n",
+      " 98%|█████████▊| 1471/1500 [01:49<00:02, 10.87it/s]<lambdifygenerated-163735>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2))\n",
+      "<lambdifygenerated-163736>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2))\n",
+      "<lambdifygenerated-163737>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(tan(S1)/relu(S1))\n",
+      "<lambdifygenerated-163738>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(tan(S1)/relu(S1))\n",
+      "<lambdifygenerated-163739>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(tan(S1)/relu(S1))\n",
+      "<lambdifygenerated-163768>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(relu(exp(cos(S1 + exp(relu(relu(relu(S2)))**2*exp(-_a0_))))))\n",
+      "<lambdifygenerated-163768>:2: RuntimeWarning: invalid value encountered in cos\n",
+      "  return relu(relu(exp(cos(S1 + exp(relu(relu(relu(S2)))**2*exp(-_a0_))))))\n",
+      "<lambdifygenerated-163769>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(relu(exp(cos(S1 + exp(relu(relu(relu(S2)))**2*exp(-_a0_))))))\n",
+      "<lambdifygenerated-163769>:2: RuntimeWarning: invalid value encountered in cos\n",
+      "  return relu(relu(exp(cos(S1 + exp(relu(relu(relu(S2)))**2*exp(-_a0_))))))\n",
+      "<lambdifygenerated-163770>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(relu(exp(cos(S1 + exp(relu(relu(relu(S2)))**2*exp(-_a0_))))))\n",
+      "<lambdifygenerated-163770>:2: RuntimeWarning: invalid value encountered in cos\n",
+      "  return relu(relu(exp(cos(S1 + exp(relu(relu(relu(S2)))**2*exp(-_a0_))))))\n",
+      "<lambdifygenerated-163775>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(log(-(S2*_a0_)**relu(S1)))\n",
+      "<lambdifygenerated-163776>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(log(-(S2*_a0_)**relu(S1)))\n",
+      "<lambdifygenerated-163795>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S1/_a0_)**_a0_\n",
+      "<lambdifygenerated-163796>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S1/_a0_)**_a0_\n",
+      "<lambdifygenerated-163802>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return sinh(S1)**(S2**S1)\n",
+      "<lambdifygenerated-163803>:2: RuntimeWarning: overflow encountered in power\n",
+      "  return sinh(S1)**(S2**S1)\n",
+      "<lambdifygenerated-163806>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(S2/_a0_)**_a0_\n",
+      "<lambdifygenerated-163807>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(S2/_a0_)**_a0_\n",
+      " 98%|█████████▊| 1473/1500 [01:49<00:02, 10.63it/s]<lambdifygenerated-163825>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-163830>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(sqrt(relu(2*_a0_)**_a0_))\n",
+      "<lambdifygenerated-163831>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(sqrt(relu(2*_a0_)**_a0_))\n",
+      "<lambdifygenerated-163832>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(sqrt(relu(2*_a0_)**_a0_))\n",
+      "<lambdifygenerated-163837>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(exp(S2/S1**2)/relu(S1))\n",
+      "<lambdifygenerated-163838>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(exp(S2/S1**2)/relu(S1))\n",
+      "<lambdifygenerated-163839>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(exp(S2/S1**2)/relu(S1))\n",
+      "<lambdifygenerated-163858>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return sqrt(sig(log(log(_a0_)**3))/sinh(S1))\n",
+      "<lambdifygenerated-163858>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sqrt(sig(log(log(_a0_)**3))/sinh(S1))\n",
+      " 98%|█████████▊| 1475/1500 [01:49<00:02, 11.44it/s]<lambdifygenerated-163883>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(tan(S2))\n",
+      "<lambdifygenerated-163884>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return log(tan(S2))\n",
+      "<lambdifygenerated-163899>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-163900>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-163928>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return sqrt(S1/relu(_a0_))*exp(-S1)\n",
+      "<lambdifygenerated-163935>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(sqrt(relu(sinh(_a0_))**_a0_))\n",
+      " 98%|█████████▊| 1477/1500 [01:49<00:01, 11.72it/s]<lambdifygenerated-163979>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(sin(S2))**_a0_\n",
+      "<lambdifygenerated-163980>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(sin(S2))**_a0_\n",
+      "<lambdifygenerated-163984>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(_a0_)**_a0_\n",
+      "<lambdifygenerated-163985>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(exp(-_a0_/S1)/relu(fac(_a0_)))\n",
+      "<lambdifygenerated-164003>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return sqrt(tanh(S2)/relu(_a0_))*exp(-S1)\n",
+      "<lambdifygenerated-164026>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      " 99%|█████████▊| 1479/1500 [01:49<00:01, 11.40it/s]<lambdifygenerated-164060>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2*cosh(S1)/relu(S1)))\n",
+      "<lambdifygenerated-164061>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2*cosh(S1)/relu(S1)))\n",
+      "<lambdifygenerated-164062>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2*cosh(S1)/relu(S1)))\n",
+      "<lambdifygenerated-164077>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sqrt(sinh(log(S2**3))/sinh(S1))\n",
+      "<lambdifygenerated-164085>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sqrt(relu(sinh(S2/_a0_))**_a0_))\n",
+      "<lambdifygenerated-164086>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sqrt(relu(sinh(S2/_a0_))**_a0_))\n",
+      "<lambdifygenerated-164087>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sqrt(relu(sinh(S2/_a0_))**_a0_))\n",
+      "<lambdifygenerated-164088>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S1*_a0_)**_a0_\n",
+      "<lambdifygenerated-164089>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S1*_a0_)**_a0_\n",
+      " 99%|█████████▊| 1481/1500 [01:49<00:01, 10.24it/s]<lambdifygenerated-164123>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return _a0_**S1*relu(sig(sig(relu(relu(_a0_)))))**(S1*_a0_)\n",
+      "<lambdifygenerated-164128>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(2*_a0_)**_a0_\n",
+      "<lambdifygenerated-164129>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(2*_a0_)**_a0_\n",
+      "<lambdifygenerated-164136>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(_a0_**S2*relu(sig(_a0_))**S1))\n",
+      "<lambdifygenerated-164137>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(_a0_**S2*relu(sig(_a0_))**S1))\n",
+      "<lambdifygenerated-164138>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(relu(_a0_**S2*relu(sig(_a0_))**S1))\n",
+      "<lambdifygenerated-164177>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S1 + _a0_)**_a0_\n",
+      "<lambdifygenerated-164178>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S1 + _a0_)**_a0_\n",
+      " 99%|█████████▉| 1483/1500 [01:50<00:01, 10.88it/s]<lambdifygenerated-164180>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(S2*_a0_/S1))\n",
+      "<lambdifygenerated-164181>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(S2*_a0_/S1))\n",
+      "<lambdifygenerated-164189>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return (relu(relu(S2/relu(_a0_)))/_a0_**2)**sig(S1)\n",
+      "<lambdifygenerated-164228>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sqrt(sig(log(S2 + _a0_))/sinh(S1))\n",
+      "<lambdifygenerated-164246>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sinh(S1)**log(_a0_)\n",
+      "<lambdifygenerated-164247>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return sinh(S1)**log(_a0_)\n",
+      " 99%|█████████▉| 1485/1500 [01:50<00:01, 11.39it/s]<lambdifygenerated-164249>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(sin(S2*_a0_/relu(S1))))\n",
+      "<lambdifygenerated-164250>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(sin(S2*_a0_/relu(S1))))\n",
+      "<lambdifygenerated-164307>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-164315>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2*_a0_)**_a0_\n",
+      "<lambdifygenerated-164316>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S2*_a0_)**_a0_\n",
+      " 99%|█████████▉| 1487/1500 [01:50<00:01, 11.66it/s]<lambdifygenerated-164334>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(_a0_**S2)**_a0_\n",
+      "<lambdifygenerated-164335>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(_a0_**S2)**_a0_\n",
+      "<lambdifygenerated-164336>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sqrt(relu(sinh(S1*_a0_))**_a0_))\n",
+      "<lambdifygenerated-164337>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sqrt(relu(sinh(S1*_a0_))**_a0_))\n",
+      "<lambdifygenerated-164338>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sqrt(relu(sinh(S1*_a0_))**_a0_))\n",
+      "<lambdifygenerated-164347>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2))\n",
+      "<lambdifygenerated-164348>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2))\n",
+      "<lambdifygenerated-164350>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log(S2/relu(tan(S2)))\n",
+      "<lambdifygenerated-164351>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log(S2/relu(tan(S2)))\n",
+      "<lambdifygenerated-164352>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return log(S2/relu(tan(S2)))\n",
+      "<lambdifygenerated-164363>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(relu(S1))**(_a0_**S2)\n",
+      "<lambdifygenerated-164364>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(relu(S1))**(_a0_**S2)\n",
+      "<lambdifygenerated-164365>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(relu(S1))**(_a0_**S2)\n",
+      "<lambdifygenerated-164366>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sqrt(_a0_ + relu(sinh(S1))))\n",
+      "<lambdifygenerated-164373>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return tan(S1)**_a0_\n",
+      " 99%|█████████▉| 1489/1500 [01:50<00:00, 12.73it/s]<lambdifygenerated-164376>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2))\n",
+      "<lambdifygenerated-164377>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2))\n",
+      "<lambdifygenerated-164385>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (log(relu(S2/relu(_a0_)))/relu(S1))**sig(S1)\n",
+      "<lambdifygenerated-164386>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (log(relu(S2/relu(_a0_)))/relu(S1))**sig(S1)\n",
+      "<lambdifygenerated-164387>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(relu(S2/_a0_)/sqrt((S1**3 + S2)*sin(S2))))\n",
+      "<lambdifygenerated-164388>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(relu(S2/_a0_)/sqrt((S1**3 + S2)*sin(S2))))\n",
+      "<lambdifygenerated-164389>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(relu(S2/_a0_)/sqrt((S1**3 + S2)*sin(S2))))\n",
+      "<lambdifygenerated-164396>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S1/_a0_)**_a0_\n",
+      "<lambdifygenerated-164397>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S1/_a0_)**_a0_\n",
+      "<lambdifygenerated-164405>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(S1)**(_a0_**S2)\n",
+      "<lambdifygenerated-164406>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return relu(S1)**(_a0_**S2)\n",
+      "<lambdifygenerated-164411>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S1*S2/relu(S1)))\n",
+      " 99%|█████████▉| 1491/1500 [01:50<00:00, 12.86it/s]<lambdifygenerated-164449>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(relu(S2/_a0_)/sqrt((S1**3 + S2)*tan(S2))))\n",
+      "<lambdifygenerated-164450>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(relu(S2/_a0_)/sqrt((S1**3 + S2)*tan(S2))))\n",
+      "<lambdifygenerated-164451>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(relu(relu(S2/_a0_)/sqrt((S1**3 + S2)*tan(S2))))\n",
+      "<lambdifygenerated-164462>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return relu(sqrt(_a0_ + relu(sinh(S1))))\n",
+      "<lambdifygenerated-164467>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_/S1)**_a0_\n",
+      "<lambdifygenerated-164468>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_/S1)**_a0_\n",
+      "<lambdifygenerated-164474>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-2*S2**2/relu(S1)))\n",
+      "<lambdifygenerated-164475>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-2*S2**2/relu(S1)))\n",
+      "<lambdifygenerated-164476>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-2*S2**2/relu(S1)))\n",
+      "<lambdifygenerated-164498>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sin(relu(S1))**_a0_\n",
+      "<lambdifygenerated-164504>:2: RuntimeWarning: overflow encountered in exp\n",
+      "  return relu(relu(exp(cos(S1 + exp(_a0_*relu(relu(relu(S2)))**2/S1)))))\n",
+      "<lambdifygenerated-164504>:2: RuntimeWarning: invalid value encountered in cos\n",
+      "  return relu(relu(exp(cos(S1 + exp(_a0_*relu(relu(relu(S2)))**2/S1)))))\n",
+      "<lambdifygenerated-164510>:2: RuntimeWarning: divide by zero encountered in scalar power\n",
+      "  return relu(_a0_)**_a0_\n",
+      "100%|█████████▉| 1493/1500 [01:50<00:00, 12.74it/s]<lambdifygenerated-164541>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_/S2)**_a0_\n",
+      "<lambdifygenerated-164542>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (_a0_/S2)**_a0_\n",
+      "<lambdifygenerated-164557>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2**2/relu(S1)))\n",
+      "<lambdifygenerated-164558>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2**2/relu(S1)))\n",
+      "<lambdifygenerated-164573>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return sqrt(S2/relu(_a0_))*exp(-S2)\n",
+      "<lambdifygenerated-164581>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S2/_a0_)**_a0_\n",
+      "<lambdifygenerated-164582>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S2/_a0_)**_a0_\n",
+      "<lambdifygenerated-164583>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sqrt(relu(S1 + _a0_)**_a0_))\n",
+      "<lambdifygenerated-164584>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sqrt(relu(S1 + _a0_)**_a0_))\n",
+      "<lambdifygenerated-164585>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sqrt(relu(S1 + _a0_)**_a0_))\n",
+      "<lambdifygenerated-164586>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(relu(exp(cos(exp(relu(relu(relu(S2)))**2/_a0_) + log(_a0_)))))\n",
+      "<lambdifygenerated-164587>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(relu(exp(cos(exp(relu(relu(relu(S2)))**2/_a0_) + log(_a0_)))))\n",
+      "<lambdifygenerated-164588>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(relu(exp(cos(exp(relu(relu(relu(S2)))**2/_a0_) + log(_a0_)))))\n",
+      "100%|█████████▉| 1495/1500 [01:51<00:00, 12.62it/s]<lambdifygenerated-164593>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-sqrt(S1)*S2/relu(S1)))\n",
+      "<lambdifygenerated-164594>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-sqrt(S1)*S2/relu(S1)))\n",
+      "<lambdifygenerated-164595>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-sqrt(S1)*S2/relu(S1)))\n",
+      "<lambdifygenerated-164596>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(log(_a0_))\n",
+      "<lambdifygenerated-164597>:2: RuntimeWarning: divide by zero encountered in log\n",
+      "  return log(log(_a0_))\n",
+      "<lambdifygenerated-164628>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2))\n",
+      "<lambdifygenerated-164629>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-S2))\n",
+      "<lambdifygenerated-164656>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S1/_a0_)**_a0_\n",
+      "<lambdifygenerated-164657>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return (S1/_a0_)**_a0_\n",
+      "<lambdifygenerated-164658>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sinh(sqrt(_a0_))**_a0_\n",
+      "<lambdifygenerated-164659>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sinh(sqrt(_a0_))**_a0_\n",
+      "<lambdifygenerated-164660>:2: RuntimeWarning: invalid value encountered in sqrt\n",
+      "  return sinh(sqrt(_a0_))**_a0_\n",
+      "100%|█████████▉| 1497/1500 [01:51<00:00, 12.85it/s]<lambdifygenerated-164663>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-tanh(S1)/relu(S1)))\n",
+      "<lambdifygenerated-164664>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-tanh(S1)/relu(S1)))\n",
+      "<lambdifygenerated-164665>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-tanh(S1)/relu(S1)))\n",
+      "<lambdifygenerated-164679>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return sqrt(S1**2/relu(_a0_))*exp(-S1)\n",
+      "<lambdifygenerated-164724>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(_a0_**S1)**_a0_\n",
+      "<lambdifygenerated-164725>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(_a0_**S1)**_a0_\n",
+      "<lambdifygenerated-164732>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return sinh(S1**S2)**_a0_\n",
+      "<lambdifygenerated-164733>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return sinh(S1**S2)**_a0_\n",
+      "100%|█████████▉| 1499/1500 [01:51<00:00, 12.89it/s]<lambdifygenerated-164743>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(sqrt(S2)*relu(_a0_)**2/(sqrt(S1**_a0_)*sqrt(relu(log(S1)))))\n",
+      "<lambdifygenerated-164744>:2: RuntimeWarning: divide by zero encountered in divide\n",
+      "  return relu(sqrt(S2)*relu(_a0_)**2/(sqrt(S1**_a0_)*sqrt(relu(log(S1)))))\n",
+      "<lambdifygenerated-164752>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return sqrt(sig(log(S2**3))/sinh(S1**S2))\n",
+      "<lambdifygenerated-164753>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return sqrt(sig(log(S2**3))/sinh(S1**S2))\n",
+      "<lambdifygenerated-164754>:2: RuntimeWarning: overflow encountered in sinh\n",
+      "  return sqrt(sig(log(S2**3))/sinh(S1**S2))\n",
+      "<lambdifygenerated-164757>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-164758>:2: RuntimeWarning: invalid value encountered in scalar power\n",
+      "  return sinh(_a0_)**_a0_\n",
+      "<lambdifygenerated-164761>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sqrt(relu(S2*_a0_)**_a0_))\n",
+      "<lambdifygenerated-164762>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sqrt(relu(S2*_a0_)**_a0_))\n",
+      "<lambdifygenerated-164763>:2: RuntimeWarning: divide by zero encountered in power\n",
+      "  return relu(sqrt(relu(S2*_a0_)**_a0_))\n",
+      "<lambdifygenerated-164769>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S2*_a0_)**_a0_\n",
+      "<lambdifygenerated-164770>:2: RuntimeWarning: invalid value encountered in power\n",
+      "  return sinh(S2*_a0_)**_a0_\n",
+      "<lambdifygenerated-164772>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-_a0_/S1)/relu(S1))\n",
+      "<lambdifygenerated-164773>:2: RuntimeWarning: invalid value encountered in log\n",
+      "  return relu(log(-_a0_/S1)/relu(S1))\n",
+      "100%|██████████| 1500/1500 [01:51<00:00, 13.46it/s]\n",
+      "INFO:autora.skl.bms:BMS fitting finished\n",
+      "/Users/jholla10/Library/Caches/pypoetry/virtualenvs/autora-17yK3Jyq-py3.8/lib/python3.8/site-packages/pandas/core/arraylike.py:402: RuntimeWarning: divide by zero encountered in log\n",
+      "  result = getattr(ufunc, method)(*inputs, **kwargs)\n",
+      "/Users/jholla10/Library/Caches/pypoetry/virtualenvs/autora-17yK3Jyq-py3.8/lib/python3.8/site-packages/mpl_toolkits/mplot3d/art3d.py:1180: RuntimeWarning: invalid value encountered in subtract\n",
+      "  v1[poly_i, :] = ps[i1, :] - ps[i2, :]\n",
+      "/Users/jholla10/Library/Caches/pypoetry/virtualenvs/autora-17yK3Jyq-py3.8/lib/python3.8/site-packages/numpy/core/numeric.py:1665: RuntimeWarning: invalid value encountered in multiply\n",
+      "  multiply(a1, b2, out=cp0)\n",
+      "/Users/jholla10/Library/Caches/pypoetry/virtualenvs/autora-17yK3Jyq-py3.8/lib/python3.8/site-packages/numpy/core/numeric.py:1666: RuntimeWarning: invalid value encountered in multiply\n",
+      "  tmp = array(a2 * b1)\n",
+      "/Users/jholla10/Library/Caches/pypoetry/virtualenvs/autora-17yK3Jyq-py3.8/lib/python3.8/site-packages/numpy/core/numeric.py:1668: RuntimeWarning: invalid value encountered in multiply\n",
+      "  multiply(a2, b0, out=cp1)\n",
+      "/Users/jholla10/Library/Caches/pypoetry/virtualenvs/autora-17yK3Jyq-py3.8/lib/python3.8/site-packages/numpy/core/numeric.py:1669: RuntimeWarning: invalid value encountered in multiply\n",
+      "  multiply(a0, b2, out=tmp)\n",
+      "/Users/jholla10/Library/Caches/pypoetry/virtualenvs/autora-17yK3Jyq-py3.8/lib/python3.8/site-packages/mpl_toolkits/mplot3d/proj3d.py:180: RuntimeWarning: invalid value encountered in divide\n",
+      "  txs, tys, tzs = vecw[0]/w, vecw[1]/w, vecw[2]/w\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/png": 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WRCIkCQkJCQkrIhGShISEhIQVod7oBST8YCGEIAxDXNdFUZT2f7Kc3NMkJLxSSYQk4WVDCIHv+wRBgOu67cdlWUZVVVRVTYQlIeEViCSEEDd6EQmvfsIwxPd9oihCkiQ8z0OWZYQQCCGIogghBJIkIUlSIiwJCa8gEiFJWFOEEARBQBAEAEiS1LZMJEla8PktUWnRep6u62iahqqqC742ISHhxpC4thLWjCiK2lYI0LY2WiLRskA6kSQJRVHa/24Jy/e+9z327NlDoVBAlmUURemyWhJhSUi4cSRCkrDqtDZ/3/e73FVzn7OYzb8lLK3/VRSlfWzP85AkqS0smqa1n5MIS0LCy0ciJAmrSsttdeTIEQYHB+nv71+VTb11jKtZLHOFZW6MJRGWhIS1IxGShFWjtaGHYUitVqO3t3fVNvBOl9jcx1vC0vp7FEV4nofruomwJCS8DCRCkrBiWrUhQRAQRRGyLF91419LWuKQCEtCwstLIiQJK6LlygrDEKAtIq3U3tViOcK0kLC0/nNdF8/z2mtOhCUhYfkkQpKwbFp3+p1WSCdX2/hv1CbdGfRXFGWesHRaLK0041YNSyIsCQlXJxGShCXTcmW1srIW2mivZ0EsdWNeC1fZtYTFcZz2cxJhSUi4NomQJCyJKIoIgmCeK2suNyJGslIWIyyO4xAEAf39/YmwJCQ0SYQkYVEspjakk9UWkhsVvJ8rLOVymXK5TDabBWIhnRtjSYQl4QeNREgSrstCbU6ut1G+Ei2S69F635IkoWlaV58w13VxHCcRloQfSBIhSbgmnbUhrXjBYliukPhh3E5FU7rPsx6Faa6gtoQlDMN2q/zOGEurrctihDgh4ZVEIiQJC3K12pDFstSNv+oEHLxU5cx0AyFge1+KOzflKWb0rjWtZ1oC0RLbTmEJgqD994X6hCXCkvBKJhGShHlcrTZkKSxFSGw/5KmXpjg3Y9Gb1pAkeGGkynjV5e23DZE3X5ndfq8mLEEQtLsft4Sls09Y0jI/4ZVGIiQJXVyvNmSxLEVIzk1bXCjZ7OhLoTZdWr1pjTNTNmemGty9pQdYPxbJSj6TRFgSXo0kQpIALK42ZCksRUhmGj6SRFtEAGRJwtQkxqtu+3ivNq4nLJBMj0x4ZZAIScKquLLmci0hmZgp880Dp7AijYFinlDRiRZ4rhcI0np3p99XM1cTls7Oxsn0yIT1SCIkP+CEYcjFixdJpVL09PSsabdeIQRHT5/nie+cpialQXhYZ0vIIkLVdTwrzbb+PKZpMmP5mJrMzv50+3g/aCwkLK0sOt/3aTQa2LbN8PBwW1iS6ZEJN4JESH5A6awNuXTpEkNDQxQKhVU7/lwh8X2fo0eP8vWTMwSZfu7e0IOixBveheka5ZqN57o8d/ISQgj6cib3by/Sq4VdExV/kJk7i6XRaDA+Pk5/f/+CFksyPTLh5SIRkh9A5o7AXQvXiCRJ7eNXKhUOHDiAbqaQilvYiIyqyAgEEhJbizkCofD22wbJGgoNy0IPGviNKs8//3zb1VYulykUCqRSqRu2Oa43MWsJB1x9yFcyPTJhrUmE5AeIzo2mMytLluX2pr9atCySCxcucPLkSXbt2sWmLdt47tvnmXuq1r5mqDI3DWaBbPtvURRRq9U4duwYtVqN73//+2iaRm9vb/s/0zRXde2vFOaOK06mRybcKBIh+QHhWgH1tagaj6KIqakppqamuOvue0nn8uiqzK7+DN87V6LHSCE1DaGpukc+pbKxZ74gyLJMT08P6XSa/v5+NmzYQKVSoVwuc/nyZY4fP45pml3Couv6vOO8Wrlev7NkyFfCy0EiJD8AdLY5uVrL99W0SGZnZ7l8+TJCVlCG9/HEwTK2P81g3mDvUJbNvSlOTzcwNBk/FBiKzBv39FFIa1c9ZkvsFEWhWCxSLBYBCIKA2dlZyuUyFy5c4OjRo2QymbaoFAoFNO3qx30lM9ciuRbJ9MiEtSQRklcxi21zslrTDIUQnD9/ntOnT1MoFHhmPOLiSzPkTJWUJnN2qsGlss1b9w2ybyjNpbJDzlS5aTDDjr70ss6pqir9/f309/cD4HleW1jOnDmDZVnkcjmKxSK9vb309PR0uX9eyazkO7uWsCTTIxOWSiIkr1KWUhuyGq4tz/M4fPgwtVqN17zmNZwYmeBUeZrtGw16UrFF0JvWOTvd4NhYlffeN8z92xaf1rvYNeq6zuDgIIODgwC4rttu/f7SSy/heR49PT1tiyWfz79i6zCWYpFcj05hWcz0yFaqcdLZOAESIXlV0qpQX2ybk5UG28vlMgcPHiSfz/PQQw+haRrlk2PYftQWkRbFtM5E1cXyQjL62lsGhmGwYcMGNmzYgBAC27bbwnLp0iXCMKRQKLSFJZfLLapF/nphrdaSTI9MWAqJkLyK6KwNWUqbk+VaJEIIzp49y9mzZ7n55pvZunVr+3ymJiNL4AYhhnpFMJwgJKUpGOrSrIDVsJokSSKdTpNOp9m0aRNCCBqNRltYLly4ANAlLJlMZt1ujKtpkVyPxQhLuVwmnU7T09OTCMsPGImQvEpYqDZkKW6jpVokruty6NAhLMvi/vvvJ1RTfOnoJEfHaqiKxIDq05eSuFCy2VZMY6gyVdunYge8dmcvmhJbQUvZZNZiZns2myWbzbJlyxaEENRqNcrlMjMzM5w5cwZVVSkUCu0Yy3qqI7mRa1lIWEZHR+nr68MwjPZz5rbMT4Tl1UkiJK9wljoCdyFkWW7HUhbDzMwMhw4dore3l/3799Pw4c//aYTTU3Xypkok4PBsnX4dtvSmuDRrE0aClKbw4I5eXrujCCxNuF6OzUeSJPL5PPl8nm3bthFFEdVqlXK5zPj4OCdOnGhvjOPj4/T29rY3zRvBy2mRXI9OUUmmR/7gkQjJK5i5AfXlDkharNtICMGZM2c4d+4ce/bsYcuWLUiSxItnpzgzXeemgUy7g68ROVyYdvmJHb30pDRsL6Qvq7drRXx/6TGZl/sOXJZlCoUChUKBHTt2EIYhJ0+epFKpcPHiRY4dO0Y6ne6qYXm5U43X0ybcaWEm0yN/sEiE5BXK9WpDlsJigu2O43Do0CEcx+GBBx4gn8+3/3Zqsk5KU7rawJuaTChgsuZy37bermMtRxDWw+aiKArpdJowDLntttvwfb+danzu3DmOHDlCNpvtqmFptS9ZC9aTmw2ubSEl0yNf3SRC8gpjpSNwF+J6Fsn09DSHDh2iv7+fe+65Z97maGoKQTT39fEx585eXwnrbePUNI2BgQEGBgaAOAW6Fbg/deoUjuOQy+XawrLaNSzrybUFtK/HxbCUIV9zXWEJ649ESF5BrMXcELh6sD2KIk6fPs2FCxfYt28fmzZtQpIkJmsuBy9VmGl4DGQNthZTHLhUYdb2KaRi//iM5ZNSpWbvrJWznjbMq6HrOkNDQwwNDQGxFdcSlmPHjhEEQVcNSy6XW9HGuN6EZCXrSaZHvrJJhOQVQhRFTExMMDExwd69e1d1A1nIInEch4MHD+L7Pg8++CC5XA6A4+M1Pv39S0xUHRRZIoxguCdufXJm2mKiOdFQFRL3DSlsX2bF+kKsN4vkepimyfDwMMPDw101LKVSiYsXLxJFUVeqcTabXfL3ut6EZLU29usJCyTTI9cTiZCsczpH4LaqtFd785jbImVqaopDhw4xODjIvn372q4sP4z4+4PjzDRc9gzFm14kBKcnGxQzOv+/123jYtlBliAvGjilsVVb43raMJfDQjUs9Xq9bbGcO3cOSZK6AvfpdPqa73u9WSRLTedeClcTllZnY0iE5UaSCMk6JooigiBou7IURVn1du9wxbUVRRGnTp1iZGSEW265hU2bNnU971LZ5vKszaaeK/NAZEliuMdkpGSR1lXecHPc82p8PODczMIWxHICqGvRoXi5rJY7MZfLkcvl2Lp1a7tdfrlcZmpqitOnT6OqapewpFKprmOsNyFZTYvkeiwkLJ3TI4F2YW4+n0+mR64xiZCsQ65WG7JWQiLLMkEQ8MwzzxBFEa997WvJZufHNiIBEYK5v0VZav6tY6NfTxv/K4FWu/yenh62b99OGIbtGpaxsTFOnDgxr13+y7lxL4a1tEiux0KzWMbHx5mamuL2229vPyeZHrk2JEKyzuhscwLdd+9rMYAKoFqtUq1W2bx5M3v37m3/IF0/5LmRWY6N1ZAluGkgS3/GYLzqsq2YaovFeMVh50CGodyV4rzVFpL1Ikwv1xoURWkLBsR31605LCMjIxw9ehRVVUmlUkxNTa2LdvnryULqLJBUVTWZHrnGJEKyjuisDek021us9mYaRREnTpzg4sWLmKbJrbfe2v6b44f86Xcu8PyFWSQp3iS+c6bEtmIKXZE40awdsb2Q/qzOj9y2oauOZL1s/K8WVFWlr6+Pvr4+AHzf58iRIwRB0NUuv7OG5eVul78eLaTWehayWJLpkatHIiTrgKXMDVkti8SyLA4cOADA3r17uXTpUtffn70wy/MXZtlUMEk1u/Q23ICRks1jdw7jhhGTNZfhHpP7tvWypbfbf389IXklx0jWA5qmYZomhmGwc+fOrnb5J06cwHVd8vl8Vw3LWm/yN9K1tRCtYt2F6BSWZMjXykmE5AazlNqQ1RKS8fFxjhw5wsaNG9m7dy/T09Pzjnt0tIok0RYRgIyhEgqHWcfnpx/Yes1zJBv/2tPpSupslw90tcsfHR3tqmEpFouLape/nPWsV4vkWnS6wSARluWQCMkNpHWhvlxzQ8Iw5Pjx44yNjXHbbbe1N52FJiRKzf/mIUBa+C/dr7+OkCxVZJbTofgHgatdM6lUilQqxcaNGxFCYFlWW1hGRkaA1W2X30rHXU8b61Iq7Tu5lrAk0yMXJhGSG0BnbchS5oa0Nvzl/GAbjQYHDhxAlmX2799POn2lULC1Sc9aPrO2T39G57ZNeZ45X8byQtJNq6TmBCiKxL7h3HXPtxYWSWLhdLPYz0OSJDKZDJlMhs2bN3fVsMzMzHD27FlkWZ6XarycFv/rzSJZjThRp7AsND2yU1h+UKdHJkLyMrOSNietH+lSfyCjo6McPXqULVu2cPPNN8/7sbuh4KsjAX91+SiOH5I1VF63u497txZ4fmQ2/tEgocgSD+3s445N+auc6QprkbWV0M1yLYCFalhaqcYTExOcPHkSXde7hMU0zeuupXXs9UIURWuSydaZSZlMj4xJhORlZKkjcOfSev5iN+gwDHnppZeYmJjgzjvvbM8xn8vfHpzi+5OCHcPQlzWo2j6fPTjGj905zAd+aDsvjdeRgFs35rhzc8+iGjGuREiiSFCxPXoz3bM+Eoukm9VyJS3ULr+Vanz58mWOHz9OKpXqygjTdb3rGC2343raKJfr2loqibAkQvKyMLc2ZLkXUKdFcj3q9ToHDhxAVVX2798/ryq6xeisw4uX6uQ16M/GG3dKUxBVh6dPz/Ajt2/ggR3FJa91uUISRhFPHbrIrOXyz197U/tzav3vdN1jrOIQRILetMamgrmqHYZfaazFRqQoCsVikWIx/t6DIGi3yz9//jz1en1eu/z16tq6Eeu5lrCMjIxQq9XYvXv3q2p6ZCIka8zcEbgrma+wWCG5fPkyx44dY9u2bezevfuaP6bpuovlR6TnXAl5U6PU8Cg3PLLG0i+T5QhJEEZ88eAFzk1WATg3WWXnUE/77+fKHi/Wp7G9kNZb2lZM89odBUzt5auZWC8/9pfLQlNVlf7+fvr74/Y3nue1haXVLr/VCaFcLt+QGpaFWK0YyUrp/M230vxbiTOvlumRiZCsEZ0FT6s5N+Ra2UtBEHDs2DGmp6e566672nMyrkVvWiOlydhO96bUcAPSukJPank+5qXWkXhByD++eJ6LM/X2Y98/PcGOwTySJFH3Ik6VAjZulNjQHycKeGHEuZkGgzmdWxeRAPBq40ZlSem6zuDgYNtV6jgOk5OT1Go1jh8/jud5Xe3y8/n8DbEMbpRFci3CMJzXTPJa0yNfKcKSCMkasFZzQ1rHWkhIarUaBw4cwDAM9u/ff9XgqOuHfP/CLCcnauiKzJ2be7htOMtT07NUbJ+MoVC1A2Ztn3fevoH8MoUEFn/H7PohXzp4oUtEAKZqNmcmKuzeUKBsRzT8iGL6ynp0RSajq1yYsV82IVlvcZr1sLGYpkl/fz9nz55l//79XTUsly5dWpV2+cthPQtJJ1frbNwpLO95z3t43/vex3ve854bsezrkgjJKhNFEePj4wAUi8U1afneKSRCCC5dusTx48fZvn07u3fvvuo5G27AH3/tDC+MVAiFQAh48ugEP7SzwM09EZYXMNPwyOgKb903yD+7e+OK1rmYTdf2Aj737FnqjrfgHfb3T0+wa6gHJJCk+RunJMH62tpfPtZT3Uarqn2hdvmNRmNF7fJXsqZXgpDMZSFhGR8fX9OxzStl/a7sFUZnm5PR0VEMw2j3RVpNOoUkCAKOHDlCqVTinnvuue75vnpiiucuzLKxYLZjCjMNj2+dKfPmouCtb9xDxQkZzOkM5a+d7rkYriYkjuNw+PBhKg2bFycCPFQMwySb0mm4cQvwKBJUnICLZRv9+RFyQqBLULH9trstjAQ1J2Tf0OpMYXylsZ6so6tVtUuSRDabJZvNsmXLFqIool6vUyqVFt0uf7msVyGZm/F2PSRJwrKsrtqv9UYiJKvAXFeWoijt/7/atGIP1WqVAwcOkEqleOihhzAM47qv/d7ZEpoqdwWmi2mNMw2PkYbEpoLJ1lUKTnamKnfebc7MzHDw4EFSuQKHZiRmag62bRNFEflsClkzMM0UY/WQ6UZc6PXlw5fZ2ZdGRVB3fCq2jyLLeEHE1l6Tnf3r9we2lqwni2Sxa5FlmXw+Tz6fZ/v27URR1E41brXLNwyjS1gWc20vxLV6bd0olpMA0LLqWlNK1yOJkKyQhWpDFEVpp/quNpIkMT4+zqVLl9i5cyc7d+5c9GbihwJ5zlNbr43E6ma5zBUSIQRnz57l7NmzbNy2i+dHLSIlYGDABASe5+M4NsL3OHVxlglLIp/WSBk6uiTHXVqFYN9wnjCK8IKIgVw8Lz71MmZsrSfWk5Ast2FjZ0U9dLfLv3jxIseOHSOTyXSlGi+2yHC9WiTLWVOj0SCTyazBilaHREiWSWdtyNw2J2s1N6TV8np0dJR77723nee/WO7dWuDUZB0/jNq1FzUnQFdkNmXEmlSit6y1Q4cOUa/XuenWO/nKsQnCKCKObsRdvXRdR9d1DE1hOqqQlR10OcJxHGq1OlZNYaC3h3K5zBtu3byu/cUvJ+tFSFarYeNC7fJbqcZnz55t35l3djW+2rWwXoVkOTdrrTEB65Xk17gM5o7AnZuVtRaTDCuVCgcOHECSJPbs2bMoERmddfj++RINN2R7f5o33NzPCxdnOTXRQFdlQiFAwOtvKrLNLa3qmlufR6VS4fDhw+RyOW6+7W4+/8J5LDcgikJMTcUNus/p+iEpQ0NzArKmBmSIhKBer1GxPEZHL/N06Ry5XI5isfiytUhfj6ynGMlatZDXNI2BgYF2KvtS2uW/WoTE8zx8319waul6IRGSJXC1EbhzWU2LRAjBhQsXOHXqFLt372Z8fHxRF+I3T03ziafPM2v5IMWz1e/YlOcXHt7BCyMVDl2qYGgyD+wo8tDOIl//6uk12Ziee+45du/eTaY4xGe+fxrHa8WOJDo/uiCKcP0IVZHI6gphJAiiCFWWkSUJISlUHZ/X3/9aNmRkyuUypVKJ0dFRwjBsp5cWi8UVd7J9pbCeXFsvVwv5pbTLX2/zUWB57uN6PU6LT4TkVcDcgPq1KtRlWV6VYLvneRw5coRqtcp9991Hb28vk5OT1xWpmbrHf//OBRpuwPa+uIur44e8cLHC109M8/792+al9q5mk8VWjy+AO++8k0jP8vfPne0QkRjLDUgZGuemG0zWXNwgQpUlCimNDT0mE1UXiRABeIEgpwrqloXZ18/w8DDDw8PtQGSpVGqnl7bG1LYslus1HFwq62lzWi9ruVGb9tXa5ZdKJQCeffZZCoVC+1q40TcZy4mR1Ov1dlr1eiURkkXQOQJ3McWFq+HaKpfLHDx4kHw+z/79+9spg4uxdl68OEup4bGt90orcFNTyBkKT5+e4acf2NI1FhdWb95Hq119667LEhpPPnMaXVsoNRQmqi7nZywMVSZjqARhxHhz8uKuvhQ1tzl2OCVQI5fnzkyyb1MRpWOEaiu9tNXJdqGGg62NpLe391UTX1lvFsmNXktnu/wNGzbwrW99izvuuINarUapVFqVdvkrZTmurVbq73pz03Xy6vhFrRGLHYE7l5VYJEIIzp07x5kzZ7jpppvYtm1b1zkXU+jXijvMXaoqS3hhRLTAyxdbQHgtWpMXN2/ezO7du/kff/9F/v65swhkvDBEV+OU3RZhJBgpWaQNFVOVm2tUkCWJmbrHzv5eitl4TbWqj2WB6wc8d2aCB24aXnANkiThKWlqhoI82MfWrTJpYVOdLXPmzBls22771IvF4g1r37EarKcYyXqcjgi0v+vWTUZLVCYmJjh16hSapi2pXf5KWY6Q1Ov1G25JXY9ESK7CStqcLNci8TyPQ4cO0Wg0uP/+++np6Zn3nKtZJHU3YKLq0pvWuGkwS0pTqDpBu3hPCMGsHfC63UV0deHCseVaJFEUcfLkSS5dusTtt9/O0NAQF6YqfP+SzZatIaoqgwBdVbqEJIgEXhiR1tWuO1pdlam7AXUnIGte+dGpcpwe+v2TowzmU+wYKsxby7HxOocuV3H8KI6tINjZn+bBXTexR5VxHKftBjt8+HC7fcdiXR/rbfNeL5vLeotHtK7lTnGTZZmenh56enqu2i7fNM0uYVlq8eC1aMVYlyok6z31FxIhWZCljsCdy3KC7aVSiYMHD1IoFNi/f/9Vc+XnHjsII/76+cv8w+Fxqk6Aoco8tKuPB3cU+eap6fZjdTegP2vwY3ct3PZkuRaJ4zgcPHiQIAh47WtfSyaT4dxEhS+8cJYwituwtKg7PrIsMVl18MMIXQZNlrC8gGLWwPNj0faCOD1ZQpAzNGquj6HKWEFI2DSnvnzwPP/8ob0UMlfuIGcaHkdGa6Q0heFmZb4XRJyZstiQN7l5MINpmmzcuLHtU2/FV0qlEmfOnEFV1baoFIvFZRfDvVysl817PVok1/vtXqtd/oULFzh69GhXDctK3aKt321ikbzKWe4I3LksRUg6C/X27NnDli1brnnOucf+2xdG+fPvXURXZfIpDccP+ccjEzy0q8gHfmgb3zg5Q8X22b+rj7ffNsTuwYUzP5YTbG9VqQ8MDHDLLbegKApnJyp84fmzZAyt6Vq7csyq7TNSdpipu0RCoMhgqDJuEMVjfBEEkaDhhQzmDDKGghOEmJpMvaMVP8Rpwv/4/Fl+Yv8edDX+YU7XPSw/ZCh3ZfPXVRlTk7lYtrl5sPuu7mrxlVKp1L5DTafTbVEpFApL+nzWmsQiuTrLSf29Vrv8llt0bg3LUkSh07uxFCzLSiySVwrXqw1ZCouNkbiuy6FDh7BtmwceeIB8fnEjbFsbquOHfOHIOJoqM5C7MpRKlWVevFjhXzywhbffvnAs4VrHvR6d4rd37142b96MJEmcnZjlC8+fI4wiLNdvilP8miCKODXVoO4E9GV1oijC9kIabkghrRGFEZEkEUaC4bzBlt4UIKHKEjIRC2ncdM3m64dHeOtd2698Vws8T0IiWoRIzq2ybhXDlUolTp8+jW3b6LqOpmnMzs7e8PhK4ma7OqtRQzK3XX5nDctLL7205Hb5yxWSlkWynvmBF5LF1oYshcXESFp38319fdx9992LNpk7LZLpukfFDsga3XdFWUOh3PAYnXW46SoWyELHXczG1Fml3hnHOT1W5skXzzcr1mPhSKkSrZ191vKpOwGFlIqmKLhRhKHK+JEgigS3DueQZIkwjAsVAdK6guW4CCFI6Sq1OWsRQvDsmQnKTsTeLf3oioyhStScgJwZH8MPI2w/ZEvh+iI9l7nFcI7jcOLECRqNRju+0tpEisXimnWxvRrrafNeb8V/a9Fnq7OGRQgxr11+Zz1Tb28vuVyu6/tpBdqX+p01Go11XUMCP+BCMncE7mqICFzbtSWE4PTp05w/f77rbn4px25t+IWURkpTsL2IdEdM0PbjTbovu/hA4WJcW63q+mw22xXHOT1e5h9fPEc0Jx3MC2n39gojgUAgyxKuHzTFNkCVJfxIoMgSiixRSJnxUC1DwbLdWIYkCTcI0ToahUWR4NKsw1Td4+TUec7Negz2ZMgaChXbp2z7yJKEH0ZsK6bY1rfyjrKmaZLL5dB1nb1791Kv1ymXy8zMzNyw+Mp6EZL1JGqw9sJ2vXb5Fy5cAOgSlpW0R0mEZJ3SWRvS2ft/NWgJydwfVysw7XkeDz744LJ658hy3MAQIGuqvHnvAH/z/OW4ItxQcfyQ6brHXZvz3LJh8ce/nvi1Zp7s2rWLHTt2tN/XqbEyT75wDkNTsL3uRpURkNJVfBFbF6oSx0MMVUaRZXwpds/1Z3WUpkgEkSCjK9Rtt/tYTY1q2Tizts9kzSVjqGiKRGmmzMZCmrobcs+WPEEUN6kczOls6U1hLJCpthIkSSKXy5HL5RaMr7z00ktkMpm2sBQKhVWvX1lPm/d6Dba/XMxtly+EoFardd1otH5jo6Oj7VTjxXx/SdbWOqQVUD9//jyyLLNx48ZV/zG27jo6U/2mpqY4dOgQAwMD3HvvvcvaVCq2z5dON3hxtE7f8SM8tLuP/+WejdScgKdPTzM6a2OoMvdsLfCRR3Yhz231ew2uZpGEYcjRo0eZnp6eN/Pk1FiZJ188R7TAhmZ7IWOWYOxUCV1TGMia9KV1JmoOXiAjSwFeEKGrMht7rmReqbIEYn58SSJ2U2UMjZrjUXUCZElCU+LzukHAmcuTDPb1IUkyr9l2bVeWEHFQPxKxK1Be4TWwUHyldXfammuez+fbWUK5XG7FG916ipG8GoLtq4kkSe12+du2bSOKIi5evMjIyAjj4+NLapdfr9fXdcNG+AETks7akFqttmYzkDubxkmSxKlTpxgZGeGWW25h06ZNyzpmxfb59589xqGLFRAR52uzPD8yyzNnS/zGO/byz+/bxMWyTTGjc/Pg0lMFFwq2t6rUVVWdN7735GiZLx644s6yXJ+UrmJ7AY4fcni0yrgFBSUEWeHkZJ2BrM7O/gxTdRc/jNjQY9Kf0dq1LhlDpW7ZgETaVLHcDgtHkhBA3fXJpw2iGStWlw4c1+PEyCgP7uy95nudtXwOj1YZq7hEwGA2nvk+lF+cK2oxn62maV2B2pY/vVQqtcfPrjS+st4skvWyFrjxQjIXWZYxTZNUKsU999xDGIbtjLBWu/xWhmDrv5bruNFoMDy8uKSZlfKf//N/5t/9u3/Hhz/8Yf7oj/5o0a/7gRGSubUhazl8qnUBNxoNjh8/3q6xWImf8x+PTHB0rEYxpSAJyGZNbD/kmfNlnj4zwyN7B9ncu/w4wNxge2eV+s0339z1ozw1R0RatDaS8apLxfbJ63EDRl2T0RSN6YbHxkKKe7YU4noQEZI2NGwvJGuo1Cy7XY7v+iGaIuOHsbgJIah7gomqy0zdozdjMNPwiSKBJEFaV6k0HGw/5NCZS9y5OY+2gD/a9kO+e7bMRM2lL6sjS3Cp7DBr+7zx5n5608ufUX8t5vaEak0JbLk9WhXWLVfYYuMr62Xz/kF3bS2GTg+FoihXbZd/7tw5jhw5wunTp3nxxRepVqurNifoWjz77LP8v//v/8sdd9yx5Ne+6oXkarUhiqLged6anLP1437uuefYsGED+/btW/GF8My5EooEmirjNwv3UprCdOTx4kiFR/YOrnjNrQy2VpX6bbfd1u6y2uLUWJmnDl1YMB3Xcn3Sukqp4aHJMiFxPCMSgrSuxplbbsBgzkCRIQzj5IasoVK17O4Ml0igaTJBCF4Ycb7sMV4LyUQWABlDIaOrzNo+GUOlOttACBjM6VTrFv/w/VO84/6b5onJ5VmHiZrL1mKq7c5K9yqcL9lcKFn0pud3E+hkNdxJnfGVbdu2dVVYdw5zul58ZT1ZAas5FG01WI9Ccq1g+9wMwdZN77e//W2eeeYZnnzySb70pS/xpje9iUceeYQ3vOENq7q2er3OT/3UT/GJT3yCj33sY0t+/ataSK7V5mStLJLWRgy0JxiuBrIstcdAde7iEqCsUqaZ67o8++yzXVXqnZxuxUQiQS6lU7PnC7EgjnOErU2uuVYvCOO1zonbyAjCMFhwQ3T8kKyhcX60wowVYCrQm9YQIp7nnjdl9m7IMl21SWc0ekyNQlpDluDidIW/f+Yk77z/5nbBIkDDDZCabfVbSJKEqcmULX8Fn+Dy6ayw3rVrVzu+UiqV2vGVVr1CZ3xlPcVIEovk+iwlJVnXdR555BEeeeQRHn30Uf7ZP/tn9PX18bWvfY0//MM/XHUh+eAHP8jb3/52HnnkkURIOlloBG4nayEklmVx8OBBoihqV8muFj+0u48XRyq44ZXNo+4GqIrMa3ZcOyawGHzf5+zZs2zYsKFdpd7JmfHZrhRf2w2QpTibyvEjpupxG3hTlRkupJiqe3ihoCVFNccnY2oUO1xHWVOhajnIsoSpKTj+/O+jYns0fIGpykQi/g5jK6ZZ9a7IV53ZfnmmyueeOcE7X3MzbhinGJuaQiQEkRBdYuL6ETlzbdxaS2Wh+EqrP1hnfCWK4gmSL3f9ykIkwfbrs5L03+3bt/MTP/ETvP/971/1df3VX/0VL7zwAs8+++yyj/GqE5K5tSFXC6iv1syQFq2YwsaNG9mzZw/f+ta3Vnx81w9xg4icqfLoLUM8c67MP52ZxvMjqqGNKss8sneA165ASFpV6rOzswwNDXHbbbfN+7zOjM/yjy90x0SCKCKX0rlYanDkcpWaE7Rzc4tZg/6MxoglUbJ8VFVgagrbiia9aSN+ralSqtabd9YQirjGZG7cJYoEjhdgaDItA0iIOEW4OmvRcD16CmkcP1jwDv3EaJmDn3mO7Zs2oGsq/VkdU1W4POswmDOQJZhueGR0hW29a9v5dbmkUik2bdrUrldoxVemp6c5dOgQuq531a+sZqPBxbIeLZL15GqD5a2pVZ+yVum/Fy9e5MMf/jBPPfXUijofv6qEpFUb0so+ulaB4WpZJFEUcfz4cUZHR7tiCiuZSVKxff6/71zgK8en8MOInQMZ3vfgVn7zHXv5++fO8PRLo2zdvIH7d/Syf2dx3myRxdJZpd7f309PT8+8z+vcZIWnX7rUrljvpOH4nJpoUHcDihmdlier1HDZXEhzU4+Ekk6RTqXoTWukdYWUoSCETKVudZ3LDyLShoblxGrR8EKCKLZEMobCdNVDleIflqkrzNbjVOe4INMnpWs4XoDo6JHScEPOz1h4ocAPQ27buZlz0xZ5U6U3pTJddxECCmmNOzbl221mOml1K16oY/KNoDO+cubMGV7zmtfgeR6lUqkdX8lms139wV6ODXU9xWtg/Voky0n7X8v03+eff57JyUnuueee9mNhGPKtb32LP/mTP8F13UVdP68KIelsc7LYjr2rMXyq0Whw8OBBAPbv3981wWy543b9MOKjnzvGixcrmJqCJkscuVzl1z//Eh971y28YXcvw+Ekr3vdTSta+9wq9ZdeemneHf3IdJV/eD7u4tuZQdVi1oqbJOZMtT37RJIgZ6jMWB4bFdiY18l0dOgVUYQXLBwTsVwfTVU5fLlC2fIJhUBXZPKmgiJD3YFMJJisWAgBm3tNzObArJaYuH7Q7qtVsnycIKIvoxN4HkdOneeum7dRdkPu316gL6MTCUFvWkObI8YV2+el8TqXZh0ANhdM9m3INt/jjd8wW9+Vqqpks9l2B9tWo8FSqdSead7T09O2WFajfmUh1qNra70NMAvDcFnW4lq2SHnzm9/M4cOHux57//vfz969e/mVX/mVRd+ErK9Pehksd27ISi2SsbExjh49yqZNm9izZ8+8H+dyXWffP1/m8OUqvWkNU4u/xIyhMFF1+cvvX+L/fPPGFQng1arU5wrfpZkaf//sGcKmeBi6hj8nuB6J+I7dmNPrS5Ig8EMMU+0Sp5ypUWlY6KqCIkvM/XiEEBy4WKbiRqQ0GVWWmvEXj76UghkKZBnyKZWBjE5fpvtHaXs+pq7hNcXE8kIMRUGRwAsCvAC+f+wsff0D2H6B/qu0kLG8kG+fKTNWcdrpwEdGa0zXPbZrEdo62C9bn+vca31uo8FWfKVUKjEyMgLQVb+yWhMC16Nraz2tB5YXI2mND14r11Yul+O2227reiyTydDX1zfv8WvxihaSpY7A7WS5QhKGIcePH2d8fLw9xOlqx1/Ohn9qskEkRFtEIN4sUrrC8YkakWDZQnKtKvXOyvbLpTqfe/YMQYcFUne85mCqKzNBcqZKWpdxQkh3/GYbbkjeVNEVv5211RIRqdn/KqWpeJ7fNcax5gRxE0pTxVBlglCQ1hWCKMILBEU9ZOtgOnaBeQtnWDmej66q+GFIWpexvAA/uCJmfhBy/OxF9g2Y3Lkpv+A1c7FsM1Zx2FpMtbPM8imVCzM2hhGwNbd+NqjrXfNz4yutCYFTU1OcPn0aTdPaGWMrGeS0Hi2S9SYky4mROI5DGIZJZftasNwRuJ0sZ6Ov1+scPHgQWZbZv38/qdTVCwCX69rqSalx7UUkulqc+GHsglGV5aV9XqtKHa5Uto+VGzz54ln8YK65AF4oODJaZaIa98EazBkM95icn7EpN0LUpvvLUGV2DmTwqzYpQ+0SkRaW55NL69SdK9XrfigIhWimM0tIUpxdldVVqg2LnuYeZ7k+KVPDdrvFZNYOmKy6NLyAjKGS1hWiMKTuSqQ1mUhA3Q3JGArnLk/w5HOCR+7e1ZUeDFC2fFRF6kpVbrVjqTgRrAMhuZpFci0623Zs3769Xb9SKpXag5xabrJW/cpiN74kRnJ9lmORNBoNgJe1aeM3vvGNJb/mFSckKxmB28lSXU+jo6McPXqUrVu3ctNNN133Il3q8Vs/xNfv7uf/+84Fpuou/dk4q8jyQsIo4u23bViWAF6rSr1zvTN1l69fOI2qLFDTEUQ8d36GWTueVigB52YselMa+zZksTzBdMMhZ6gM95j0pjUuV0EWgrrtLPgd1SyPTEpnuhYLk65KKLKM17SENFUGETHdcDBUic5l2Y5PytDa2Vply+f0lEUQRpi6QtX2KdVdetM6fhBQc+M6lpypsKmQQlNlTo1OU2k4vOP+PeTSVwLtpiYTLDDYPg7+r4/NcjVqSOZOCPQ8r12/Mje+0qpfudpvLXFtXZ/ltLZvNBrIsnzNm9b1wCtKSK5XG7IUWhvy9e6kgiDgpZdeYnJykrvuuqtdeXo9FmORRJHg84fH+dsXLnN51mF7X5p337uJX330Jn73qdNM1z2EEOiqzJv3DPCT923Cd+1FC8n1qtQ7qdg+Xz0+Sb5QxPHjqvnOuo6xikPJ8tmQNwma50/pglLDx/ZDbhrMskfOdLnD0ppMxbLZmM1Qd7x5n3PFCTg8VqfuhYShIG8q8WucgLQmk0HB9mMRHerRwbK6Xm+7sZjYns9YxSWMBH0ZHQlBIAtsYpfc3VsLNJx40FZaVzq9aUxW6nzmu0fZuXkYwzRRFRlTlckaKhNVl4FcbAZN1T3SusKQqbLg9KyXmeVYJNdD13WGhoYYGhrqmrcxN77Sslg64yvrzbW1FvNIVspyLZL1PmYXXiFC0lkbspIRuJ20vtBrpeTVajUOHjyIpmk89NBDS8qzXozl8Ml/GuG/f+c8kYhHzh4bq/Ef//EEH37jLv78Z+7lu2dLNNyAfRty3DIc3w2G/uJcZgvNUr8asw2Hr52YwvEC8sTlIPGP8IqQVG0fWQI/jHtgBVEswIocN0GMhCCja+1q96ypcsn1yGkGjWajxc5KeMsLOT5Rx/YietIaoSSYafikNJnBrI4bhMxaLqYqc8eWXgzhMdmtI0AsJpIsY/shGV2JRaRpCZqaQtnymW14bO3PUrUc5l42pqbx7NkpvnR4lOHBPjZvGCRramwqmFheyMVSnLXVk1K5a3MeUbHblqblhZyZajBStgHY0ZdmZ3+6K7611qzVBrPQvI1WfGViYoKTJ0+2u9cWi8V1ZwGst/XA8oTklTCvHV4BQrKaI3A7uZaQCCHaMyW2b9/Orl27lnxRXs8iKTU8/vLZSyiyRLHZ/TYHlBsej39vhLffPsTbbp0fyG+1xriWJdWavtjf38+tt956zYu3ajn8z++dwvbCrvvsRrObr9OcMaKrcYwhrs25IjJhRHvWR93x0RQZQ1OoNixkSW7XddQsj4yp0WjGNSZrLg03jC0ICVKmhirHKbu7+tMUTIMgFM3ZJRIKWldrmE78IERXFKIopDO0E0Zx9bqiSNRsl6xpYHl++24+a2qcHa8y0/DIGyp2vcrkmI+xaSNjVYm37utvn7Ivo5PWFU5X4n87fsi3Ts9wfsYm08xau1guMVZ1ef3u4rx04tXm5W6PslB8pdVk8MKFC1iWxcmTJxkYGKBYLC55nvlqsx6FZDnB9lfCLBJYx0KyFiNwO2kda24cIwgCjh49yszMDHffffey25xcL0ZyYqJOww3omdNtNmOoVCyfs9MWt2+aP1Ojs0X93ItSCMG5c+c4c+bMoqYvNhyfv/ve6TiwvsA8krIVxxlSusJgzuBCyabmBGSMuK6kYvloisRQ3myfP6NrlOqN+LytKVQAzSFWuqLghSGWF6LIUttC8IIAU1Mx1ZBS3WEwk0XveHuWG7RrRiCuhK/aAUEkyBoKxbTCSMlFT2lAHLSvOQE9KZWsEV/mDdfD0FQiITAUhXrDoWz7qLKM0tz4Kw2b+ulz5It9lLf2LPgdAFwo2Vwo2Wwrmu2CUC+IODNltS2TtWQtXFtLYW732u985zsMDQ3hui4vvfQSvu/P6w/2cq51PQrJcmMkiUWyTIQQVKtVarUafX19qy4iQLsDcKfVUK1WOXDgAKZpLpjZtBSul16c0RVkWSKMRDzMqUmrVUhaX/jOpfU5zN30rzZL/Wo4XsBnnjnFrOWSMbWuBotOEHHwUoXJqkskJGRJMJDT2dmf5sKMTbnhoygymgx7BrPteoysqVGqNciljTgmgtRVaR5GEaqmIkcSUujTsG1ScoimaU1LK4oD2trCPzbHj8iYGpNVh9NTDapOgISEKkOPIVNIqVQdH1lS8MN4bvu2YprOPpGuH5A1NKIohGavsLmXVhhFnL1wmW9nJG4euB1Dn/8zGa+6aIrU1VVAV2UkSTBV99ZcSFqslw1GCEFfXx89PT3t+EqrP9hC8ZXO4t21YL0JSevGOLFIXiZaVki5XObs2bM89NBDa3au1mYvhODixYucOHGCHTt2sGvXrhX/QDtH4i7ErRvzbCumOTPVoJjRUGSJIBLUnYA7NvVcdSPqtEhaXG2W+tVw/ZDPfP8007XYt1+3vbhpYhwO4Nholctlm5ypkTZULNdndNZBkWUe2lWkZHkIAZsKqfYmnTU1ao24FXzD8TE1tcsiabgh41WHmuOjRj5WvUpK1eOW88JCVyWsQCKlq2wtFuYvWgKBoGZ7XKrE8056UzqqHKcDT9ZdthXTbOwxcfyQnkwOhWhe+xhTUzk/VcP2Q3oyJhlNpmL7RPqVJo5eEKEqEjPlWf7uO4d57S3b2D5UjDdIP07Q0DWJhTyXUUR7auNacqMtkrl0ulo74yubN28miqJ2f7DO+Epn/cr1rtmlst56bbVuKpcbI1nvrBshmVsbomnamg2eatGaSXLw4EHK5fK8Ir2VcD3XliJL/J8/cjO/+pljTNbc9p67qTfFr/7wzVfdIDqF5Fqz1K+GH0b8w3NnmJhttB+TJAm56dpqeCHj1XgWuqHKhGFsBQgRxzX2bsiyuRCnIqYNDcv12yLSQghBGMX1IAIRTyS8XKXm+ARePB2xv6eHjQWVmhvi+RG245DWQvo1jwvnztGbSyNUnVQqdWXIk4CqEzBVdRjImRBFBGGIrsoYkcJU3WNzwSRvxpd1NmXScLy2TaTICs+dm6Fi+/FjJZusocVDsazYympt0EM5nQ2FNBPlGp/9zhEG+3oxc0VOXW4gI9i9Jc4Sq9h+e8Jj2fIxNZmNPd09u2Ytn8m6hwRsyBvkzJX/7NZb3ca10n9lWV4wvlIqlTh//jxHjhwhl8u1LZbViK+sN4ukdeO3HIvk5awhWS7rQkgWqg1RVXXNhQTgyJEj7Tv5xU6lWwxz3Wa2F/K1E1OcnKjTk9J4y74BbhnO86n338vXTkwxXnHZ1Gvypj0DbZ/+QrTcfL7vc/LkyQWr1K9GGEV89dAFLs7U5v3N8UMMRcINFnAviXjGiB2EcRPD5sfUcGOroNyYn07lByG6phBGgnPTDWq2hxY5mLpCJtNDzQ2YtUNet7OXmZoNpMmaKookEQQBlm0hRz4T4xMAGIaBEALXj4P/IgrjQLosxy6zpkUXRqJdSFi3PUxdJQjjRo8HL8R1ML0pNZ7vIqBiB5iawt7hHiarFqos05NS2dKXoW7H9S11N+DFA+dBvsi2/hy5bJazMza6KlFzQmYaPhLxlMZ7tvQw1Gz+KITg0OUqBy7VaDSTFvKmymu2FdgztLLNYT3NIoGlpf/Oja+0mk6Wy+Wu+Epnf7CliuZ6E5IwDJflol/L9iiryQ0XkrkjcDsHT7Vawa82QghGRkawbZvh4WHuuOOOVb+768zamqq5fOh/HOL0VNMKEHHq70ffdjM/fOsQP3bXxiUdW5IkXnzxRQzDWHQsRwjBUwcvcPxSCV2T211tO48phCCryRiqjONHZI34hxiEEUEzRTnTES/IGCp110WR4kFWc3H9CMPQmK5aRJ6NnjZJp2NrJqMrNNyAUsNt39G3UFWVfC6PQLBhaAPjpSoT5RoNT2BPTuBYEtOuQialYxo6mqrEo31TWlzE2IHjBeRScRV82fZJN2NT8XuOCxSrTggi5K6tvdiuT9rQqdlO+xjTNQ83iCimFc5fHqevJ8t9d/QxY4XcuTlPqpnuO5jr7v91adbh+xcqZHSZHX0pBDBV8/jeuVmKaW3BbsOLZT1aJMtdj67rbNiwgQ0bNnTFV1oWiyzL8/qDXW8t61FIlpNxWq/XE4vkWlxtBG6LzvjFav5gfN/nyJEjVCoVcrkcAwMDa/KD7BSS//KNs5yarJMz1HaLk6oT8NtfPMlrtvXSd5XmgQsxPj5OFEUUCgVuu+22Rf1YhBB88+gljl8ugUSzZ9YVIak5AZcqHpblc/eQyva+NC+N1aiKuIrdCyICIXHTQKptqaR1FctyEYi2i2shZmareG5IOp0inb6S3WWoMpVGQBBGGJrRtjQ6kZA4O1XnUjVgpipwbInB3hzZlE/F9rArdWQhCCWVbNqkPxVX3HcSu90c3CBCVzWiqPs8UtP9Fok4i60npePPsYTrbtBOcQaYnq3x/cPHyfYUkW8qtrsCz+VCySaIBMWmuEjAUN7g9JTF5Yq7IiFprX090EpHX42Ne6H4ykL1K9eKr7SstfUmJMtx1zUaDXp7Vz64bq25IUKymDYnrdqO1Qyazc7OcuDAAXK5HPv37+fQoUNr5j5rxUhsL+QbJ6bRFbkd+JUkiZypUrUDnj49zWOLsEg6q9RVVWXbtm2L/qE8c2qMA+cn2/+u2R4pXcX2Ak5O1jk5UcdyfYIgZPLIBLsGUty2Kc+FGQsniDA0hZuLKe7YUsB2A1K6gu247Ywsy/Xnjd4NwxDLspCEYGNfgWkriDOkEBiqwsRsg4yukDMU/DDE7KhZaVF3A05NNQhCwWDOZMZrNKvtZbYP9lB3Q1w/QCMkr/oots1IbYZUKkUqlWKgN890xcKP4v5fuhxR8SGty+35KpYXklIVMrpCNqUx23AAQTZlYHsBYRTFQ7Ws7rVFUcS5kUs8bQRsyt3GQM98MXH8aMHAe9yNeGXX3Xpyba1l4F+WZXp6eujp6WHHjh0EQdDuD3bu3Ll2fKUlKq2ssdZr1wvLFRLbttmyZcsarGh1uSFC0pndca3BU7D8L6ATIQTnz5/n9OnT7N69m+3bt7fTf9dKSFoxEi+M4sK4ObPKW/9qeNc/f6tK3fd9Xvva1/Lss88uuk3KgXOTfO/kWPe5m7GFyZrLS2N1FBkKporrhgRhyKkpiwe29/KGm/ubd/JxS/cwEs3sLq8986NFzfbImjp1x2OsXOfM5SlCAX25FNsHMngTFqW6g64pTNccUprM7oEMqhJPRfSC+WIyXfdw/IiBrE4UBaiKRM7UmGl4yJLEXZvzRKKVPh275mQRUq7UaDRqHDw3QSNSkBWFlKHTlzVRJMFULU55rjsemiyztS9FMWs2EwYkwgjOT9XxI0Ha1MjqCmUrwPLC9p13qe6S0mQc2+Ivv/o8d+7axL03b2Wi7jNV91AVCV2RcP2oK27jhxECqW2ltB67WHYYrTjIUpwNt6XX7BoFPJf15Np6OTduVVW74iuu67bbuLTiK/l8XPvTaDTI5xfu8Pxys9wb4nq9vuap0qvBDXNttSq0r/V3iAsEVzI61PM8Dh8+TK1W4zWveQ2FQqHrHGtpkURRRN5U2TWY4choFVO9Ynk5zRTTuzZfu96js0r9vvvuQ1GURXcWPnG5xPNnJxb8W93xmKz5BFFE3owbGyJB1lAp2wGXyxYD2UJXPYsEaLLAvsr31nB9jl2a4djlCoqqIRDMzHg0RIN9GzIEUZqJ2QaGajCQ00l3NECMIoHrd4uJF0bNokVBEET4QYSmyuiqjBtEyM1ss/b6JAkhqWzZOMgLF8q4mkxaFojQp95oUK7W2ZjXKRoGvgjY3p8lpyts6k1Rs2IRcYNYSGet2FUnhKCQMenP6lRsn0YAhD59PQbbiik0RSaKBM+duMjnnjtLKt9HT6EHCalZVwLnpm0K6bgQsmqH7BxIs6U39vP7YcTTp0scG68hRJy7d+BSlTs25dm/s/eaYrIeNki4kpF0I9ZjGEZXfMWyLCYmJtreh1Z8pbM/2I1gub2/kqytFSJJ0oozt8rlMgcPHiSfz/PQQw/N86WuxpTEq9ESKUmS+N9ev4N/8z+PMGvHLUTCKHYKPXrLILcMLzxn4FpV6osRkpGpKl86eB4hWHAWuiRJeM3NGJoWUuspIkKSuu+edFUh8H3cKFowJiKE4PzoJCfGG+QyafJpHcuyiJppw5t6TTbnNbb09mE5fjtGNvcYjh8gKzJ+EJIxVISw8f2wowI+xA9F1x19JxlTY6xUZ7LmMJBPE4UBkmTSkxNULA87Ctmg+nhujahSQytkma14SIqGLMez3EsNj960FqdEI6hYLkKo3LetyLlLYwghsWVDtmuTn6p7XJppkG84RE6NvTu34Ig4aWHPcIaZuo8iwa07c+zbkGvHXM7N2Bwdq7Ohx2gH7etuwMHLVbb2pthaXHjjW48WyY1ejyRJZDIZhoaGGBkZ4Yd+6Ifa8ZWxsTFOnDiBaZptUVmL+pWrsZIYSSIkK2S5richBGfPnuXs2bPcfPPNbN26dcGL/OVwbQG8dmeRP373HXzqmZH29MN33TnMT963cAuT61WpX09IJisWn3/uTFs8soZOzfHmPS9jyAik2E3VXEYk4sBzT+rKRa+pMlEYtDv7ekHQNXo3DEPGx8eZrAUomkFfPoXnx+N0ZeLhVOcmq2zO92E5HmlTw3LmB+cnay4jZZuGF2JqCgMZjZQqU7J8Uir4UdxtOGso9KbVtiut/X5MlYbt4DStFxGFmLqGH4ZEEaR0DS9UKPb3oCsSKiGTM2VmZqdQJUGAwuW6jK7p7UJLCYl8SqXhR1QaDn0ZDRFF8yyFmYaH1oyDVRs23z90nOGBPuRMgaFcH2/eE7famfu6i2UbWaYtIvH3pTJZ8xhtDtdaiPUYI1kvMYlWxtZC8ZVWf7C58ZVW/cpavYflCkmS/nsd1mocruu6HDp0CMuyrtsqRFGUa1afL4dSw+Ovn7/MN09MYjdCxrOX+Gd3DXPftgL3bStc9/WLqVJvDaFaiNmGw2eeOdU1X73uxj77mh1wuWI3U3vjuSFjVZepqoOhSDiBwLF8+jI6G/IGWVPH8QOIwq5BV0EoSOkKQShwXIexsTFM06Svr4fJsTp+EGIaOo7jNMflemjalUvNas4SaURRO9YyWXM5MlYjjAQpTcH1Q85O+xRTCsM9BjN1l1DA5rzB1mIKU1WoOy75tEHVcskYGtWGg2imKauK1JxrEqAoErqmUncddFVGU6S4G7HltH3tYRjSsGxoNLAadXwbNE1D0zRMwyAKQvwwRPgBQsBw2qDhuO3q9thCAEWWEVFEGEVcHJ+i4oyzPRtxy4Y9qAttJMsUhPVkkdxI19ZCXC31V1VV+vv72/3zOuMrR48eJQgCCoVC22LJZrOr9p6WEyMRQtBoNNb9dERY5xaJqqpLqiWZmZnh0KFD9Pb2LqpViKIoOI5zzecshZm6x7/81AtcmLHjO/tI8LtfPsU3T07zX37yjmt2hO2sUt+5cyc7d+68ZnX7QkLScDw+88wp7DnZT3HhXcjXT0xRd+O/SUBvWueOTXn6Mzrnp+vIEuweyHDTUBZTi7OpFKKuuSQtbC8gdG0uXRqlr6+PQqHArOWjqRZ28/m6ImM5Di4aO/q6U10t18doCkYkBCNlmzBqToGUJfwgQBKChi/YNWCyo9fg4qUaNw9nuZKqIFG1PAxN48DFMpM1FyGgmNbI6AqzdkDGUNAiGSfwQVbYmNfpaYoIxDGKkuXjBQJT0+nNRjTMFClZ4HkuYeAxVq0jSRJuI0SKQlRVoWa5SLKErMg4rkchrXFx1iUUAtH8blw/RBIRZy5c5s9rFR66fSc3bx4kFHGXZ1WR2VQwOTZex/HDdvv5hheiSBLDPVfqgxpuwLHxerMWSWKDGSLWvl53UbxSh1otFF9pFUaeO3euK75SLBZX1HsviZHcQBZrkQghOHPmDOfOnWPPnj1s2bJlUXcSyx2HezU+/f2LnJ+xSekyigSuGyIrEt87V+Yrx6cWbAsP8UV27NgxpqamFlWlvlCigheEzTnr8+9ww0jw7VPTWF5IIaU1LRrBTMPj7HSDN+0bYkdBZWJinF1bC0Dz7jIKURVp3t2vEILp6WnGyzWiVJHz4z7G9Aybe1Ns7U1xvmThBgLXdhBIDBV0tizgorG9gJSuUrd9Gm5ISlPicb1NK9HUFGYaPkKSMTVYqJejqsr80+lJynZAxojb6lyuOKQ1hf6MTs0NcP0AXZUZzmvsGe7BcWN3WNWJ059rTjw9ESl2MQkhqAWQNtK4jkc6azCcldHkgLrlEEUR41WXSqAQoZBJmfRmNPKGwkzNacfBADb2mGQNhWrD4cnvHeNL2hnkbB+hoqNIEpsKBpt6TC5XWrNSJCTgto05Nhfijcv2Q758fJozU412e5Uz4w1MN2J/hwDdKNbbUKvlFCO24iuZTIYtW7YQRRHVapVyuTwvvlIsFikUCkuKryQxkjVitVxbjuNw6NAhHMfhgQceaKf+LYbVjpF8/eQ0ktRM9Wzu55oi4wQB3z1TWlBIrjdLfSHmCmAUCZ584RyTlQZGcyPs/Hyn6y4Vx6eQ0tu1H60OwxM1l1LdoSdjMtlxDlOV2nGMfMagZsWbbxAEjI+PU3UjLvtpHNshpStYls9Mw2NHX5r9O4tcmK5RlVQyquA1Nw20h03NxfYCUoaKpkgEzfqiFkEkkCUIghAtpaMqsXXVemtpXeXsZI2S5VNIacgSGKaJ6XmUGj4bewx2D6TxI4GpyhSzJtVmY8m0qfPixQp1N2wG1mPBLds+/Rmd3oxO1fbp7U3Tl1HJ6TLxHHmJ6UbAZF3EgXzh4DoWk7Mqm3vT7CimqLpxi/zetEYxrTWlASqOz9nLNRxvjK1DfWzbvJHjEwGbe03ecHM/M3UPSYItzSB7K2X47JTFuWmL7X2ptlVrCp9D5+HstHXVhI2Xi/Vokay0ZECWZQqFAoVCoSu+UiqVOHv2LJZlzesPdq3PIAzDJQf2W66tJEayQq7XJmV6eppDhw7R39/PPffcc9VJh9c6/moKSYd+dCExv1U5LG6W+oLn6RASIQRfOzLCuclZIHan5FI69Y5gdhjFlceRiFCa6arxeuP+VEEUu+Fax0xrCg3Hbb++bnukDZVSpcb4+DipVJpGoOH4DsWMjqJICE3F8gPGqi7bCgZ3bMpTKoV4nkcQRmRMncacgH8UiXZrlZ39GQ5eLCPpSntmesUO6E1p9Ka12AUWxeJh+2FcUOl61F0fxJUgtuv56KqKrkZUnIAd/WlSQNbU2+4sIQRjZQsrgGLGANFsqCdLZHQV24+4o2BCs/miJEE2ZdCwXSIBM3aEYRjkzQyyDGEQUGnYXJ6potghg/kUKDopWSb+icVrq7oRlhNnhFUqFQ5VKwz193HOK3Lf1gJvuHlhS3S85qLIUpdrVFUkFElisuauCyF5pVsk12Oh+ErLDTY3vlIsFufNEFmOuFmWhRAiiZGslKul/0ZRxOnTp7lw4QL79u1j06ZNy7qQV1tIHtk7yNmnz7c730LcklySJF5/05VNYimz1BeiU0iePT3OkZGprr97QRgrWvMj6U3rmJoSu7YyajyLQwgsL6SY0cjqKm7gY6oSGUOhbrldxxNCMDlTYmZqit5iH5lsngMnpkg1559HkUBVZHKywsSsRdn26EmrTfEUgKDheG0x8UPB+ZkGF0sWQXPO+oasyrZiiomax0wjHuvbm9LY10yzjZqzQyzPp5A1qdYdhIgHbM0Vbz+I57znU3EhV6ZDRNrfgRD4QUCkSaQMHcf3kUT8PvwgwvGCtstICKhZLpqqoKkKThCRN2VkWWquTaaQzRDJPsXBNIYc4nku9WqJ8XGPVCpFb0+WmUqc9HDlg4WJqRlmRybYoLtsK9xK2pyf1qx3uMq6vhfoEpcwEpyfsRgpO0RCsLlgsrM/vebTGl8Nrq2lYhgGw8PDDA8Pty2HVuC+FV9pBe2LxeKy57UDiWvrWizXtdVZ5f3ggw+uSK1XuyDxp+7fzDdPTXN8vN5spQ4qEW/ZN8gbborvZOZWqS/HbG0JyfFLM3z3xOV5f/eCkJShMV6xUWSJrKFy82CWI6NVpqo2uqbi+XEK774NOWS52WEgirCcuSISMTU1RaNhsX3rFmRFJxSx+66zX5cQop2BdGVQl9SVlNRwPNKGxnfPTHOxZKPKkNJVRssNpqoyd27Ks6lgEiIRBGG7lqMTQ1WYrdnN50QUMxqmJlN1fHJGLF4NL647yesShUyKygLdiTO6gqnG4ipLHpqiIMkS1ZpLTpe7emu18IM4ey1t6M2BX1LbYvZDgSKDoalkTJNMJoMAhhBYtkW5WsOq2VR9CTI6uqbHrg5JIhIR5y+P88l/rHDf3m3csn0jIxWPi2UbRZIwtTgLrdTw2vUzJctHk6V2enAkBN86XeKFi5W26LwwUuHW4SyP7B1AX+D9rBbr0bX1cq5HkiSy2SzZbLYrvtJZv9Lq2G2aJr29vYvynjQaDRRFWdWu5GvFurZI5grJ1NQUhw4dYnBwkH379i3ZlbXQ8Vcz2J5PafzpT9/N3x8c55/OzjAzNclPvHYn77x7K6oiL1ilvhwkSWK03ODIdG3BhIHzMxYvjdWpuQGyBIM5g7u39JA2FM5PWzihYCirsWsg0x6Tmzc1zvvxuNu42FAiCHzGxsZjv/2WzVihhCGDJGBzIcXx8Rp+KDA0mdCPu+sWMgb9uSsuobnOvssli6l6QMaQyRoanhe7esqWz4WSzX1b43TtXCFFze4UNQlVljg3Xef8TJwZpikKg3mTbcUUl8rx2FwEGJrMrv40W/rSzNYbKLKMaWiMzNSZaXiEkaCQ1hjuiccHl60AQw3xwoi0obOtz+i60Sk1PCZqLpYXgu9jSBKNMMIN42FYfhBSc0L6s1p7Fgq05pD4zFoeKSNH/2COoNzADgI834qFSSjkUxqG5KNrWZ4+dJpPffMoktnD4NAgsiyjSFLTvReP8hWAFEbc0ie3A/IjJZsXL1boS2vtgLzthxweq7OtL82ta+j++kG0SK5FZ3wF4rjic889hyzLnDlzBtu25/UHW2i9rfjIehLpq7GuhURVVVzXJYoiTp06xcjICLfccgubNm1aleOv1LVVanh869Q0XiB4cGcvW4tpsobKe+/fzHvv38xXv/pVXnNzEVWWOHv27KJnqV+PuhvyjeOT5Au9cbPEjtjD5VmH758vE0aCnKnjBSEXSzaWF/LmvQNsK6YRQpDS1XZab9ZQKVfjGSUN2yOfMZkszTI+PkE2myGV7+WFSzUmax5hFFHImGzu0RnuMZmqe9QsFyHiwsO9gxn6s2azULDbIgGoewG267GxGAfqYyRMTaHqxDPY45oXl4yhY3lB7MJSZUp2yGS9iizLpDWFUAjOT9fZVMxy99Y8NTtEIMibKsWsie3G6cBBGPLSWJWxeoDnh4DgcsWlP6Nx00CGsuXjhRG9KZUNeYNiRidj6lQaDhM1l5OTDYJIoCsStUaIocr05yVs14sD+brOQE5mZ1+mnZhctnxOTVlxWq8qUbddZoKIvlwaRETdCVAQFKSIoh7g1WY5Oj2Fhc5oQ6KYtQmsWbZtGqant4+KE/DI3n60pvWoejVqU432dTRacfDCqGtoVkpTmuJrramQrDeLZLmptmuFqqooisKmTZsYGBjAcZy2G2x0dJQgCLra5LfiK2vdQv63f/u3+bu/+zuOHz9OKpVi//79/M7v/A579uxZ8rHWvWvL8zyeeeYZoijita997ap+sCsRkv/54ij/+Ysn25uxIsv8i/s385G37O5qZeJ5Hi+88MKiZ6lfD9sL+ObJadxmgWDd8dvDnQBOTdYJwviOW5LA1OICvFLD4/Ksw/a+dLNhpQx+SEZXqTVsZCn+4QkhuDg6QaM2S19fkUw2x7dPl5iqu2R0FV1TKNcdqo7PfVt72N2fisflKhKDOYO0rlBvxkMqC6xfk2V0TcWyHExdw/N8kOIMLVOVu5pbNlwPQ1ORJQnXdZm0BZEeN5gE0ABVlhkvN9jea7CpN4UfxIF4x/XaIjZrB1yadTBUmXxWQ1VULMdlqu4xkDW4d2sPtteZnBBRtRw0TeVypQ7EtSmSJKGLgJLl40eC2zfm8MIIVZYpZnVURcFqivpk3cfxQwqpKz8xXYmoWi63bcyTTxu4XoCpSs2iSoe853Hk8ixR6FGrOjTqNWZnK6TTKczCINUtOd6wdzA+/qRNvSsle+HrZaFfmeWFXCzHLe6Hcgb9SxhjsBA/CMH2ldIZIzFNc158ZW79yp/+6Z+yadOmFe8X1+Kb3/wmH/zgB3nNa15DEAT8+3//73nrW9/KsWPHluxyX9cWSaPRYGZmhs2bN7N3795Vn8G8XCE5NlblP37hBKGI2vM5vFDw589c5OYNWX70juH2cw8fPkw+n19UgeT1CMKIzz97mrobtOtIYktAa1sls5aP3myGKIRoVlPH77HmXMmAq9se+bRGre4008rixycnJ3Ech40bh8lmMpxvuoMKKa2djtqTkqk4ARem6zy4vUBfZv77asVD6lY8tbDmBMiyxLa+NCfGZqnYAQiBoWnUXR8/iNjVl0aesx+FYYSkgKYquKFEdk7gWJXjFi8Vy6OQUpubst21sVZsnyAU9KSUuNNw5JM2DWxfULL9LhHpZKbmUHNc+nNxzy5FkamHISlNouGGRAIKzaFcnh/i+SGZlIHvh1RsH0PtfjO6KlN3A1w/RBYhGV0mnzapWjYSYOg66VQaR2jkzbjrgu/7VCpVLk1VeGL6AtXRXey/c088ahnaRZhDeQNNkai7QXvCpuOHBJFgR9+V7rFnphp87eQMUzUXQRwrumdLDw/tKra/36WSuLauz9WspM74ytatW4miiImJCQYGBvjyl7/MqVOn2LdvH295y1t45JFHeOSRR1YtHfiLX/xi178ff/xxBgcHef7553n961+/pGPdUCFpTeWbSxRFnDhxgsuXL5NKpbj11lvX5Pytwr6lXnifOzhOJERXN19DlXD8iL957jLvvH0Dly5dwnVdNm7cyO23377iH5oQgq8eusBoqT7vc6s5Pqoix2m2hsJ0/Yo4xsPB4v+f0q+8R1NX8T0fSYrvZltB4yAI2LJlC4oaZ2RZXuwu6txkJMBQYtHqtIbmYvsBVQ9Onpqh7gbomkpOFWzvz3BhxqJie0R2HJfZ0Z9hW1930aIiyyiSwHFDoigio8tdrV8gzlSSJAlDldEUmbrtkDZ0XP9Kb7CF8HwfRZau2V1XluLyQMfzyJha64sgEqBKsNAl4/kBURSRMrT2qN4WUbONSmsuTdrUKdcsFEXCNAwsx6U3ozFV9wijeHKgrusEKQlsl3xa4Z+OnuXbB45TLPRQ13uRLh7HNE029abZ2GMyWnGYrLlx0amAW4az3DQYbzwV2+ep49NUnYDtTdEu2wHfOVumL6Nz68blub/Wm2trvQrJYm6EZVlmeHiY3//93+eJJ57gk5/8JL/6q7/KV77yFX7lV36Fv/u7v+OWW25ZkzVWKrEPoVgsLvm1684isSyLAwcOALB3714uXry4ZudqfbFLvfCm615zU5j/momay5EjR5iamiKdTjM0NLQqd2vPnh7n4kwVmC/Anh8iSxpCwK6BLDP1Eo3mAKooEjR8yJoqmwvxRq0qcXDcD0Myps7kdJmJybjd/NCGIRQ1/lxcP6CQNkDEm6AsxaV1igy2G/fkijfj+Rs8QMkKOTblYaY0coaGF3iMV0OcIOL+bQUqtkcQCnKmSiGtYepqu6uwLMGs7XNhuo7theRNBVMOacgydiDQZQhFbOn0pnU2FFIEYUgYxanGXhjhhhKO65E1VFRF6mpDIksyluuwtaBj6hog2u3rLS++k09pCvmUSs2NkIlnoMiKghcKBtIa6Y6Kci+MKFsBbhChSIKsKpj24wwvhYggipi1fPKmSk9KJZsyqDUcZm2fS7MOVTuIW6YUM/RldEoNDySQpHjq43CPycb+NBISlhfwzNkpGl6F7UM18rkMoxMGA7kUr7upH6GlAInNvSl29afbGVvnSzbTdY/dA+n2NVlMa9ScuP3KcoVkPVokL1dX38WynDqSRqNBT08Pjz32GI899tjaLKxJFEX80i/9Eg899BC33Xbbkl+/roSkVaC3ceNG9u7dS7lcXrPuvNA9PGspGWB7hrI89dJke3OFK+mvG3SXRqPB/v37OXDgwKpkhZ0ZL/Pd45dBil08LSGpuyEHL1W4PGsTCejL6tw6nOO2TXlOTtSp2gGyJFFIaTywoxdTU1AkCVmEuGFca3JpdAKnXmFgYICJiebsEgFuc15KjyEzkE8xVbXJmSqGKjPbcJCA7f1pvCBs11f4c6b+jVbjYPRwWkVEIYqkoikys5bPdMNjc8Fo17tEQsSTFk2DuuMyVvU4OFJuxiAkxmsC4UpsH1KpOCF2EKduD+YMbt2YRxIRQRjFnZ+nLUZKNk4QoWkqGU2mN61RavjU3RBDVfB8l8GswXCPiePF2V6SonLoUrl9o5DSZLYUs/hBg3JzQqLr+uQMhVs3FdAVCc8PqLsBxycsqo5P2BTUrKHQl9ao2S5BJNA0jZ6Uyq6BDIWMSa3hUHUCjo3VcYOItK4QhBHHR2cZypvcta3IdC3+nHN6vP5WhfxMw8cNIadJBGFAqVKlv5BjsiZx9vxFbsr5FAoF0m4R1xZozeaDrr9wc0Wj6XJbLolFcm1aXo/lCMnLVUPywQ9+kCNHjvDtb397Wa9fF66tMAw5ceIEo6OjXQV6a9nmvXV+SZKWfI5/dvcwn/7+RcqWjyLHloEfCBRJ8L/cMcD999/WbmO90vVPVS2++OK5+B/NzrZIEn4Y8c1T08zUPQxNRpZhouZRtmZ4w8397OrPULJ8VFmiP6tTSBvUHR9dAcuN3S+TE5O4rsuGDcMUe7JMTk5yedbhbGmWWvMOeVsxxS1DGU5IgrLlUbddTE3m5qEsW1vDmYIQTZGbs+CvvN+6F6HLEoHvI4g3G01VAB/7KpMh646LoascuzyJAPqadRNCCC5bNrYfcf/2ApYXkUvppNR4GFTrvONVl9NTFroSp8wKIag6PsgGewbThMRV+z0pk8Gs0S4QDIXghXPTlK2A3oyBH/gEQubkeIW9Q1nk3rhuxrUiCqaCFIV4EWRSBkfG61SdgLyhIEsKQkDZ9tEVmds35nD8eEBXX9agkDGYrcXZVmOVuOV9Z4zJUGWm6y5belPs25BFVRQadvdEStsPm7U/sVvS1FSmSxUqTonJ9Cbe8cDtRL5DqVTi/PnzKIpCsVhESBkkRJdlJoSg5vjcOnxlwxJCcGba4sREg5obsLlgcsuG7FVnwKxHi2Q9CUnnSPGl8HK1R/nFX/xF/uEf/oFvfetbbN68eVnHuOEWSavXlCzL7N+/v2us5PVapKwUSZKWtdn3Zw3++0/fzW998SQvjMwSRYINacGH37Cdd75md/t5K61TsVyfzz97Gr+j8K/u+OiqwkQjpNQIyZlqO9PJUARVN+TkRJ3X7e5jU8d0w7rjxRlVtovneYyPjaOqKpu3bI67IPshFU/m3EiVCDCbonB0rEbdDXjrvgEmKjYNN6Anpc5rFOiHEaoio6sqXvM760mplGpWu79XFEUIAYqqLNxoUEDaVDk3WcMJBL1pHSGu3EUbKsw68ez33rSGrEixa02W2kIyVonjEmlDab+ux1Qp1Wz2DA4wnFNw/fluj5mGz6wV0GOqEIXk0iZhEDLp+UzWPe7eHPdwmxFW16Y5U7Wp2AE9aQ1JxFaeJEHOUKk2kxsGc/EGnDFUZusWmqZi6hoVZxZzTqFgS9icIMJ2fSCOf2UMs9miJR53HEaCSBKYho7rxoHzIAyZnpnmr79psXvTIPft3U52eCdHRqY5M1FDD8YIyzbPTugM5FPksmkaocJA1uD2jVd61D1zfpavn5whCAW6KvHSeJ2jYzUeu2MDQ/n5xXFJ1ta1ae0v680iEULwoQ99iM985jN84xvfYMeOHcs+1g0VktHRUQ4fPsyWLVsW7DXVapGylhfqcjf73YNZ/uu7b+Hp77+I7QW86cG7533pK+kuHIQR//DcGarW/IFUuipT92KfUNcseElCVxWm692vEUKQNTWCIKTRaDAxMUFPvifuMtx8eRhGXLbi3ltX7jzjkbbjNY8L0zUGcwb9WSOeUXKVNYdRiBdCWpMZziqMTAmqzXbuUSSouQE5Q2X3UB7HddruGiFE3CPMcpp32hFhGGAaBq7nxd+/uJJgJstxN2Db80EIsmkD2w2w/bC7DUl8dHRVY7Zu0WemyaVNGpZL1FEs6fhxUoEsgWFoOM0K/6ypY3lRZ8eZjo9bQlUVfD9AIcLUFDRdw3Xj5osC2pZE2tTa/cscL8DzA9KGSs1tdgSQWiuVkGQZEYW0fp5eEDFRjRtMmoaBocoYCriRSt2O3V81JyDV7HgsBJy6OMFXDp6nHGgU+vrJ5fLIci87tg9zq+Ly0miVyclJ+nTBTb15vIpMQyniovFP58qkNJmBYiwakRCcmbJ4bqTC228bnPe9r7eNe72tpzUpdalrqtfr7d5ea8EHP/hBnnjiCT73uc+Ry+UYHx8HoKenZ8kjiW+okDQaDe68804GB+dfnNAdDF/t1N/Oc1zPIhFCcGysxqzts29DjmJGb1epD/X3c+utty64vpW4tr55dISJ2fmtPQBsLySlSnEXqzki6/kB/ZnuiyBvalQbNqVSCbdRZXBwcJ7oeWFEw4vIZrSuY6Z1lalKg6oT0JfRcYMQU1PniYkXRBwbq3F51iYUkFJlhtKC7XmJipDj9F9Joj9rcOvGHEHgk03pWI5P1BS6y6V6c70qGV2l6oZIkhe3dAlCnAg2plVSmoKhKFittF1Jom57qLLMYD7NqYkKWV1pb86aqhE0LNJ6CgHULAdNUUhpsYUmSVLbMlA1Fde9IsR126U/q5NLGzTs+HFBnAGlKCqSCMgaChUnQFdkXNdDURSsIE4TzhoqKUPDdj2m6x6XZm1qToiuSqQ0Bcf1UEyNvKnHTSiDiJQCxaa7KxKCExMNxioOceeTBqosUcyZVKsWlhsigJypsr0vTaaZ+lt1AkbKDhkzYnZ8hLAej6A9NRXx2J3DvOs1NxGGEb4bXxfT09OcOXOGUUdlpKSzZyhHFKrIioIsSRQzGmenG7hB1NU+puYETNZ95AXGF9wo1puQLHf/sixrTS2Sj3/84wC84Q1v6Hr8k5/8JD/zMz+zpGPdUCG5+eabr7nRdgbDb5SQnJ6s88t/e4QzU41mkzyJt9+c4+HCLLfsu3aV+nKtnSMjUxy+MEU2pVO3579ekiU2ZCQuWhJ1JyBjqsiA40dIEty84crFl9FVZmuxFeL5Phs2bKSvJ9vVHRjizreKDK7vkzXT+EFcN+G6LpIUNw6E+EfhBgJTV9tZTkIIDl6qcH7GIqXJpBSJhutx0hZsMuDhPf1U7ABFhp7mPBSEoOHEw61Kls+3D4/FriAJekyVDT0GF8s2M5aPjA+SRF5X2NmXxjTUduFfww0Yr7o0vJCMrpDVFfJpg1nbJ6XJKIrCdK3BQFZnoKPwrub4XBqrUnLiAH1fSqEvl2JitkHOUFFkqdmHS2JTj0ndcuO0XVnh2IRNqMYZYYYqkzdVNFlqj9sNIg9Nlrllc4HerEnNcpiqexwdreGFEaYqU3ejePCWHicpjFUsNFWlx9TY2qO1P+/WyN2sobYfCyWZidkaO/Iyu7YNxB2Ple5U5ooTgKwgE89aqdcb1OtnsSOZp6I6d266G0NTMbQrNQxhGPLs6TGeL48zPVNifGIC0zBIZzLYQiOdMtt1Pl4Q8c3TJQ5dqjIxU0WTIqrmND+0u7jmTSKvx1reeC6H5Vbar/WY3dUc13zDYyTXQpbjOo0gCND1lVXfXo1rCYnthfzcp15kqjknQgb8IOIzxyoMv24Lj27Zcs1jL8e1NV6u87XDIwDUbb89G10gmLX8eHpeFCGJkIdv2sjTp6eoOwGCeLO/ZUOOTXkDU1NBCMqVKqNjY+iaxpbNm5EVBcsN4umEXkjDC5vtVFQG0xKjtojjKYaK63lxENlUGcpd8Y1HkcD146FUthdQdYL2ZpfWZYIgIGcolBsuk44MQtB3lerphhvxnZNTeAJSzeLOmYaP7UfcvilH3YlTajOGiluus6k3he24QLxxH7xUpeGGyDJEEWQMhW3FFLOahOWD57ns6Euxsz/TroVx/YgXL1YoNXy05t11xZHJKIL+jE7VCdqxiG3FVDvG4QUhh8ca1EOFgZSMIau4gWCy7rG1N4UqS9TcgIxuMJTXGc7rNBwXU9cYqzXww4hi+kp8xvZDglBw68Ycpq7heh49KY20oaGrsbU0XfeQkNoiYhg6juPih4K6J5CikJQqx4WQQYjbtBQNXcP3G0h6dzzI9zxOnrnAf/98nTt2bebOmzYzWgt5qZkwMJDV2NDfSwRsyapYjQaVeoNzM7Pc2gvHj9UpFou8OA3/NFKjmNYpmDINL+JrJ2cAeNOetXPHLIb1ZpEs90Z4rVukrCbrWkjiVh5rm7l1rc3+yy9NMln3UOS4MC2KIhQZwgj++sAkH3zTnu4YxRKOvRCW6/MPz53peI3A0BRqjs93z5YYrTiEkUBGUNAiHttu8M7bNzBWjR/vzxrtpoGKLDE1Nc3Y+ER7TkJrKEokBOWGx3MXZpuV0YKelEZRldjcYzBth0xV486zeVPlNdt758Udoiiuu0jpGqOzNl4QUUh1j0Y2VJmG7aKoGlJXRCIma2g8c2YKywvoTWsYuo4fBBQUmbLlUbUDbm4W0wkhmLBVKnWbbCaFQOLEeKndCr+VwVS2fCZqLm/aO8hs3SZrFlBkqb3BQtyXqmT5ccBeltBUFdtxqXohD2zsQSUiErEodd5dlxoeVqSQkuMRuqauY+iCoO5Stn1eu6O3PT5AUxWCKCKMBLOWy0zNJp82UDWZoLkWU1MoNeJRwVkNslpTsPw4hqKpCpqmIcux9WjocexGkmKvnWjFl4BqIy5ErAUSIooQUYgs0eWKCoXADyP6sjqu73Pk7GU++73jTAc6vX0D9OSyHBkNMVQJU1U4W3KRUJG0Hl532zBv3JEmsKqcvTTOl4/V0DUVIWWQI5+CoSKlNV68VOX+7YV2df2N4NUiJGvt2lpNbnj67/VYayG51vEvluLNVBKCSITIUmwhCVlQtnwsLyRrXv0jbPXaWgxhFPGPz59pNju8Qt32eOb8LBdKFqaqYOoybhAyYQm+cXKSR28dntciXJJg9PJlGrUqQxs2zDOPHT+e3151I0wlXudM3WM6FDx8k8mdaYPpuoupKmzpSxMEC38+kRDYnk8+1Zx34nhdawlCgSKBH/jkUwZhFLULF9Omzmy1Rt0LUZqWp+f7KIqCTDyoqlXbIIQglza44AUIYmuoYgVYYRwbaF1GkhQ3oGx4MFmxyJsqQRgShJBLGdQdDyEEJctvZ3tpmorneSiKROQIxmct7tlWRIKu1ilCxLUgvu+TMeNNwQ/iVjWZZnPMIBQoqoSqyoBoV9YrUlylb3s+Mgq6FsehHNdD13U834OmxR2JWLBqboAiSShEhAI0TWsmHcQt6yUJMtqVG4PjE3UuVxwURSUKfSRZRZHjmxBLlpGkuAtAX0ZnKKdjaiqzDYdz0w2gQWRVCXvybBzewEygsXsgw81DWRw/pD+js3swQ0pTgCJKzxDFqRF69TjGYtsOURSiOC4WBqPTPdy0sdj+fdt+SKkRuxqvlkK8mrxahOSVMh0R1rlFAmufAnwtIdlUMAiiCBlQlCvtUKJIUEzrpPVrXxxLiZF898RlLs3U5j1ecXxGKw6mqrTvLA1FxpfhYtmm6vgoXAmOB2HI7NQYddtleMMwvfksDbc7HnKxbFOxfXpSGroab7aaIjFZ9Rkp2TzYmyZnxGnYURiRNrR2xXmLeIKhH8cQCib9WZ2LMzVyxEWHjh/ihYKhVOxyc7w4jdXUVSRgfGKSyckpvIaE7cqklQhV1QibfcEkWWm7unJpIx5M1TUTKh7La6Z0VFVui52mKtjNNNlOarbbPL+OIl3pQ+Z39dmKW8E4nh9nuqVMvCDAD0LyaZOKXYuFMRK00hkkKe5UHHccThEEAUKKJzVWm265lKawIa9zdtpuuqjiwkU7kskbcbFh6zM9OlZjourSmmOlKxIpXWN8to6mKMiKiu8H9KcVeoz4Ayk1fEYrLj0pHVUSCKERRIJZ22dbX4aUrlF3XHpTKgNZnaypE4QRs7aPE1xxt81WqsxWqkSKRtQY5MfuvJd8an66b85QyRgqkSIx0JNrt+CxhIJkOZw5foSJszKF3l4uuimOzkTU/bh78p6hLG/Z209Pau0qz9ebkCxnPa1mjq+E6YjwChCSq01JXC2uJiSNRoOe2jkKhkTVi+8UZeJhVRIS/+uDW6/p1oLFu7ZOj5U5dG6KlsOiax1uiOcHZFPalT9J8V1uEApKdZftA1ksx8dxHGanx4gkNY6HyDKOF2cTeR0tTFrNG2UpvqvWVBU/CNBlwXR9/iRBxwtIGzpWM5vpQsni2FiNhhvGkxG1uNpfkXJcKtWpuyG6KrO9aFKkYwZ7GCFLMDYxycXJMpuGBkgXBLMjFUqWhyE5yLKMK2TSusauwTy5lEa10SEizc8gb6pkDZWq5dGTUtF1nSgKma655A2F3AKulSCMqNsu2/qzTDZCGo4XN7gUYPnxe2l1wpUkibrtUHEC7FDm1OQMPSmVXlNm2haoWogqS+3uz1t6U9ieh6Eq+AIOjdaZqDpxVbsi0ZfRGczqlCyfUAh0VcVU4kaVubRBFMHxsQpjlViUNCVuwW+H4Pg+24spGl7srhroz1JQfCwn/q4qdjw/RpVBRFeGi6lNUdw7mEZVDFJG7NKKml0AWqnUQnSPgrZth0uXLvHpJ11u3bmRO2/aiqJqcRzFDsinVHYNpHl+pBrHMKMIN5LxVYM337WRR/b0Ua1W+faJMb5wbBwRehTTGpGe4tsVi4bj8y8e2LLsJpHXY70JyUosksS1tQjWg2troRTdiYkJDh8+zObNm/mzn93Ev/mfRzkz1SAQcdbWT71mM//yoW3LOvZcKg2Xpw6eww/DZpZWt2srZ6pxQ8Yg3pBahFE8UCrbrM+oVKvUy1OkMjkKvb3tfTeMIlRVRY5o3+WmOkbISi0xUeR4+l92/p1iy4WVNnXOTdV4YSSewpdP63iuy3Q9xA2qvOHmfm7blKdiuWR0BY2QsdFa13G+dvAso7UQzcwwMtJgY4/B3Vv7ODXVoO4EBFFIRhEMGw7lsYtUNI3efA6hqNR9ODVtoygehXQ8S+TwWC0OmrsRYRiRMTVuGjC7NqlSw+Ni2Wlmcils60uzpUdjrB7EPa2IR/bu6k+3786FEJyaanCx4tGwXWRJQtd1MsDGnEIjiuMPKT0OyG/uMdGb7r2Dl2tcnnUo5lIgQlw/ZKzisK0vzT1b8kSySuC59GV1VFluphULpq045tSq1dQ0FaSAkhPXqOwevOLmKJcbRJEglzLQNRcQiDk3LaLLUo2wXY9QCCpuhOX6KMRjBupu0I6thULgBIJdBQPH83j++Hm+efAMo7YC6QLpTNxuZUPeYN+GDKMVl4lGSM5U+KFdRR6+qQ9Zlsn39HDZrzA4oLC5oGNZFpZl4zkVvn2kzEA4xW1bBxacb75SXi1CstZZW6vJurdIXk7X1tVmqX/uf3uAo2M1Zq24juRqGUgLHftaFkkQRnzh+TO4zbvaVjptJzlTZXsxzcnJGqauokgSXhgRCNjbnyalKVwcHSOyahSK/V2dAVq4XkA2pVOz48K+Lb0pTkzUqDhxdpWqKMw2HFRZZkth4fcmhMB2fS7PenhBxEDeJPDjmIja7J91edbmpsEshb4MUSSoN6y2ERUEPt996RIX64JcysTQJPxQ4nwpboP++t3FuLU8cUV81tSYrdawLIvxqRlG6xHnayBmq6hKvOaNPSb3bulhquHRcOLZHpt6TIaLcVzHCyKmai4vXKri+CG6IlP3QqbrHjcNpLhrOE3F0TENjZQSpx23NrSS5TMy60EY189IgBuETNuCO4dN7ujLNWeoKCgypEyNhuNR98J4douhIEUBkiSRz5gIHCaqLndu6SXwPTDNOZ+whO36ccNB1Yzb4DTnyCPFG3z3FxK72KqWS8FUMTSVAFCbn7gfCoSgnfIsyxKzdsDBi2XqzdqTlKGT1lWC0GOmEQ8ik2UYyBkM5/X2eU5N1pmqe/SmZ4myGTYMDTE6G1FIafzL/Vt48XCdoWKO22++Ug/m+BFly292XlDIZnNkszkGBwXHx6ooKYNSqcTZs2fRNA01U8BSMhR68uwezHcN6FoKy+nmvdYsR0iiKEosktXk5Qi2+75/zVnqkiRxW0cLicVyPdfW08cuMllptP8dhNGCVsn9O3qRZRgpO7hBiCJLbMoI7tqU5fLoZRQiNmzcGAeDg/nns/2QExMlAiGhSoKtxTQP7CjywsgsdS8kbDiYusLuXpkthavPhxZCMFO3MXWVMLjispKbWURWs3+W68U1KClDAyGwGg3GJiaYdmVyKZ20oQICWYo3u4lGiN3MvoK4d5Tj+ei6ga4bCD3DRKmMIjnkUyqO6xL6EucmPbJKxC2betrWFoDVFMyMqfNP58q4fhwHkGUZGajYHmdnLDYVTIrN4k1dU1HluA+XJEnU3Ajbcdu9viDOQotExKVZmz1b+lEUmYblkEmZ7ZbxXhARhIK0fqVi33O9uFhRlpitO2SNhTeV/qzOuRmLMIpbrajNTsOK5HeN8K05AcenXWadiHStTK8pUzAlJqsuKHHyQeD7bOwxGcoZcddmWebgxWkaXkghrTUzukJmah67B7PkUjoNx6OQNsjpUtv6rXsBs3bcjUCWJBoNi7PnzoOi8L2ZHh7emWcoI7fnsnR+Vj2mykTNa8eA4msxwjQ0btq2iZ39acIw5KnDl/jaiSmma2WCIKAvo/Hmm3p53d6N5PP5JYlC6/e2noRkuQ0bgSRGshgWY86+HDGSSqXCd7/73RXPUp/LtVxbJ0dLHDw/Oe/xuu0xUraZrLqozUFQvWmN1+4scqcbEiGBCBm/NMLY6GWy6RQbBvoJIhFPOZSirjDLdMPj26dnrsRFZJmXxmu8bncf77pzmIsztXY2T2lqgiCMFqxcb1FIaZTqdfJGCs/32nMvBHQlH4RhhOsF6AqUpicwsgWYteZlmOmKRNXxCCUZVVGQ5djVFnUow2Qt7iJsyPH3Veztxfd9Zuoul2cbGF4ZTdNIpVKkUynM5t3+dNWi7oTk0zqyHLc/CcO4cLFs+VTsoL1mzw/wCMikdGQJHG9+4gPEghkKgdsMyPfk0ngdn1VaV9BVGdePuj4PLwI5Ckhp8TCruuMyU3cZKTtULJ+UrlDMaPSkNKYbPpoUx+MiIdjRn2FzMUvDdrH8kAOXqpQaIWldIQoDLpbj1Ot9wzkaXtxSaCCXZ2NvCtfxMA2Vs5M16u4VEYF4s3eDiMmqw64+k1x/AUmSsByvPWMmilrdE5rvX4oTT2zXo1wb54kvfYc+zef+W28i1+dxaLTOhRmLrKG0i0rHqy7FtIYThIxVXW7dkGNbMRbwMzMO377okM3l2bGxH98PuTBd46tnagS1Q/Tqoj2CtlgsLmhxd7IehSQMwyW3tW8JSeLaWiXW0iIRQjA7O0upVOKWW25Z8Sz1uVzNtVWu23z98IV5j3tBxFdPTDFR84ma7/nw5Sr/f/b+PMayPLvvxD6/u9/79hd7REYukVmZWWtXV3VVV3Vz726xKWooahvJtmxRM6aBgWljQIwBChIEGNI/WjzggJZFzhCEARkyBEs2rBmKEtcm2Su7q2tfcs/IJfa3v7svP//xu+/FmllV2VXs6nEfoFCIyBf3vXeX3/mdc77LC2ebXF6s4dk6rmWwsb0HQLPRYGmuXYr7Kf+QqmsxCuJSWRm+c7vHqCQVipKAMAwzXrkz4MuXDRbr+y0WgUoAaZ5jWwZx2WrzE9Xnb7gm5+c87nbG7A0DGhWHJE3x45y6Y3CqtS/NUhQFe7u7yKLg3LmzjFMwN5WvuDJ2Uuc5yQtMXaDJAl0oK95RfhghNkFgTS5NlmVomobruhhazunTi0RhSBCG7O7tUeQ5jutiWA55kSPTAreiRBgnxxOCE4e9WVaQ5zmLTY8bnZC0kJjavkJwLqHl6AqSXHHoDwPu90P2woIoLWg6GrMVi3t9JWliGYJcCsI44+K8h64JhkFEx095aztkFMbYumA8ztnzU9ZmPWY9OWXJL9Ztlhs2fhRjmjr9Uc4ozml7JnmuPGccUyXGNC94bG5/4QmjmKrroB1I9ke/saEpJWnHtg9VVaMUxlGGkMqj3k9ymq6GbhikqSLGepZOxdK5u7PH/a+/xeZXrlM4DWZnZiiEhm1onG65hGnO5jDC0jWeO9Xgp5+Ym577tzdGRFnOakt9btsyuLjc4sq2T211jedWHDqdDjs7O1y7dg3btpmZmaHdbtNqtY7ZP3xSE4lzrJX58AiCANM0se0Hdwg+SfEDkUg+jhlJmqa8+eab9Pt9Go0Gq6ur7Ixi/t+vbrDeCVhtu/y1Ty+zUP9wN8DBOKm1VRSS//TqrRMXsTc3hmz2IxxTxzANhdpJc7693mep4VB3DNbvbZBFIQDLs61jsNxxmFDzbMZhQi9M6QUpnqXvJ0ipds29ccTuKD407xFC6XflhYQsRyL4xo1OSYQsqFg6azMOn15t8N7WmGGgeAtzNYdPnapNh/hplrG5uUnF0un6OWmhiI1rc1Xe3hggUKiuJMsJkpyzMy5110QiGYURVdcmTLKpt0fLM9GFIMsVQEBKiabrhFHApVNNPMdG1zQqlQoSSJKEIAiIwgAri+mmBjKJsS0Tx3HpBSE12zjEMk+ygp1xSs8foQnFcF+omOyGORQ5AkmSFzRsjfmqQc1zGfkh72yNuNVR10MT0PF1qo7B6bZDx09JC4GlweWFfQdIKSXXd8aMg4SZioVlWmRZSpAW3O0GfH6txcWF4zvRNMvZ7o+xTANNZBSFNn1fIWAU7W+4pJTUK0qeBZQ/iuvYZFJiiolNs2pHnpurE8Vq8zEIU968P2IYKc6OYZpYZWU9SCRaFJLkCpxwbkYlRiklG6OMzfGQdiWiF/ZotVpQabI90vgvXl5FEwLH1JivHV4Yh1E6Ze0fDF0DPymo1WrUajVWT5/hlfUe37qxQ3drTFPb44ybsDpbp91uMzMzQ61Wm0raf9ISyYftcozH448chPBxxg9EayuO4/d93YeJ4XDIq6++SrVa5cKFC2xvb/PdO33+t//qVQXnLGnS/8NX1/nv/1fP8sLZ1iO9z0mJ5FvXNtjsKbvciT3uJG7s+miawND3Gf2uqePHGbf3fNqMAcmZ06us37rJwA9PLJnHYYJrm+RjJS9++DQrkqAs5PEB7gHnxSwv+ONrHTaHMZYGNUdZx75+L+H5002+9Pgc/VI/a67mKF2uJCMMQ7a2tmg3GmyGcLU/5v7VPRYbDmfbLpqmcXWrzzhWFcjZGZdnVuo4hl7CiwV3Oz63uyH9SHmbr7ZcFhs2t7Yj8ijFdRwCP6DtmSzWTeI0peY5DPyIm3t+OUsqaHsOT5+f5e27HTrjhEEUIgcBVdvg8mwTmWdIzSTOCl65O6AzzigKtRjf1kPOz3rMVC12RjG6btJ0wC0CWp7FKAjphyl3uhGOoR1Awqk50mK9yRcut/HjBB05tdcFhfYaRmVbTUKSJhi6Ts3R2R7mDCJVaRwNKSWNqsvmsI+hZYBCkiliJIc84muew7XNAVujmCyXqm1mwtYwwXNtdAEDP6RZ9Vio7pulXdlWAp0tT6kFKIJkzGy9wmzVpDsKmbN1lur2lFxYFJJOkOGYJrapZlibW1sgt4g0h1dmNX7+hfPo5TmQUhF6JXCq6fD6/dEhk7iskKUP/b4XzW+/tcNXrnUQgGlU2IttxpbB2ZrLeDycOqnW62qWGUXRh64CPq54lBnJJJH8oMQPREXyUba27t27x7vvvsva2hpra2tsb2+TZhl/79+9RViipyZsjijN+W/+3Vv8wX/9+UMLwQeNozOSje6Ib13dANTD4ZgG4zyZ/pyWPAuYeBgIhJBIJLudHotLFebm5rBMQ3lfPCTSNGe2auNZOn6cU3NKdVtNozcOcU2d5aZLUcgDraNSZwRlJ7w9jPBMHc82SJOEqq0zijKu7ow5P1eZci6UfLwkjQI2NrdYXpznlfsBd7shSQLhKGZzGHG/H/Ij52e4vLhCz1cLrGcKqq6NX7ZVOn7CN2/1CNMCSxeg6XQ3Rpxtu6zVIbNc0rzg7GKV021X2d1KGAYRb2yMuNOLkUWmXBXHOZ1xl+dWG+SFGhzrFNT0nCIesTPuYJomd3yNnRE0PB1DU4nZjzNudQI+f77NubKSMAwdv5/jhwmWW6EfZKRFQc3ZT+ZCKFXf+92ApxYrzFRs0rw4JNGiCXGg3SSxDIs0TZT/vCyouU5pEqYSRMdPGIQZVdfBEjmWLvDjAs/SiOKEcZRRdW1WZxTCp+rZfPvmHrc7geI/CcHWMKbpGqzNeuz5CVkmOb/Y5EzbxRFqMzOKc/phStXRp5sPTcBsw2Pkhzy54PDYTIuqaykr45LMOfGbMQ2DJD1cIQfjEd949W06W/d5+vwpWjMz/OmtEbf2FKJvvmZRtXWu7QTMVs3y+6ZcmPN4ckkNmu/1I755q0fLM6eD+0JKru343PAt/tqnn6YoCkajEZubmwB84xvfwPO86Wyl2Wx+34QcH0W0cSKP8sOK5APGUf/xo/FRtbbyPOedd95hd3eX5557TnlxlMe/3s24P0gUQau8cJPPtT2Mee3egM+c+fBVycEZSZzm/MdXbx76ruMoLi1qVTm+3HC4uRdgGwr/r2saQRQj84LV2Trz87Oqp52lxJnSanpQOsmKAs8yeHqlzrdv9xiESmk3iiJMXePplTpZluPaJnGaq7kB+4qg4zgjLySuZZDEMaZpKvFMQ7HWJ/awlH+zu7vLaDTi0rkz3OyE3OtFSquqgKprkBewM4q53Qm4uFBlvmqjaYrkOenNg+Tqjk+YFrQ8Y+pVEmUaG8OMJ2oGizP2iV4JvSDlTjfA1jUqFQ+QpElCLyi43Qn57LkmgsM71EIWhEFIrzuCPCEY5xi6gWEYOIbOIFJQ4QliyjR0RmGCbRlUPRvRDU8891Iqg6o0zUizDCRUXIuunzIMYjxLZ76mEFpVt0KaJlMnx5pt4GgFSVrg2jbfXu+x3vERukGWDHFMndmqyU6aMIwLokIN6i/M2Di6pFH12B6ErHcCbGNfHaAopWHmajYvn2tRcS38MEYINbNybYtR7CPLxDMJ27aUd4tUlYeUklEQE6U53aigF2b0+jnNaoXtUVSi4yaIrxy7tDn2w4g/evUKr28GJMLm/OklarU613cD6o7Ok4tVtkYxAsGPXmjzYxfaU72uu70IP8lZauy3xTShHDDf2Rrz84VE1zQajQYAnU6Hz7zwAv1ej16vx5UrV0iShEajMW2D/Xm2jR6lteX7/vsCCz5J8X1PJO8XH0VFMnFh1HWdz33uc4dKXk3TVCVy0iRy8vcPsIV9vzjY2vrKW+sM/MMtOinBKhMJwNMrDTYHEeNYsaazPKEo4HTb5bGVWQSUVrmq/RanGY7jTNtjeSG52wtVK0YTnGo6fOpUE8fQudUJ6AwD5lseF+YrrDTVYhzG6TSZUM5IQJEWDV0njGJMXXEaTNNkFEXKD2QiBJjnbG1tkec558+dodA0BiVPwdQ1EgCpBttaaS97caFKmudUdJ2iULveQiruQ8dPcE1tmkRAtWwGccYglqwaJz+QgzAjyyU1W+lcpYnSsXIztYDmhcQ4MpfShGBupgl3AyzbplkplXXTlCiOiTPVBvVdaDVqRHGipFnygnEQc6rlcbMbMwwT6q5KfFlRkEo4VzWn91OcFXznyi7boxiErpjurs5yq8J2f99BsmobPLFUm87P3t3oc3NnRLvmYWiS1DDxk5y9ccpjLYNCaNTrdVquiWVoVFyLwThgoxeof6vYUwkYTQhsQ2N7GPPc2TZ+GB0iK46CCM/UaFYdRmFK1QLLsoijZDpYnyzsQZor9eQgRReCKDVwxim6ptELUjRNVVuWLjg/W5luOPqRpDMKaXsZd29dx3Ec5ufm6GVVTj02w//yxRUEHHPPnFy3o49oViiY9XT8JyVvbY75D+uS3+3fZsYzeXltkc++dJE4iuh0Osfshyf/fVzq4vDoM5IfFA4J/AAkku8V/nuQpX6SC6Ou65yuShxTm/p5TEIt9BrPnmo80ntrmoaUkqv39njn7t6xf0/ygrfu9TF1nZmqyWzV4qefWOCN+33udcZ4huCZM7NcnK+iCTUwnQxPhVALwGTOkuYFf3Jtj/v9qGxVCd7dVAzrH7s0x2rDIi9O5sKEcYprmWoBKyuSUy2PttNje5hSsQ0MTTAMYqTQuDBfVYq6cczm5ia2bXNqZRmjtLxNswyBagXB/gKgmPTqBFddi8HIR0qJbZroukYeJmqoXhyuUDVNQ2YKyZZmOa26wyiKDsGcjZLMohsGWZoiSkJfLqHiWId22aCqkYrr4IcRS3Wbqzs+SaZgmp7nqcohSWk6OqNBn73dHTTTYi/IGWU6lfGA+ZrNWtvm2l7BIJZkWYJlmsx5BmfLdhgS3tgYcb8XUnEMLF21TDd9wYVZk5XVGn6iFHrnqtahRXRjEOHYFqLIyAuwTBPLNNkaBIwTON0yaJXDa8+xpu1BIQRFXpAkKZqmYRomaZaq+9kyy9ep89HxE+731Y6/7hi0HMHQzxmlBmaeEkTJlPU/SXDrnZCun9KqmLi2xd5eByk1JBpPnmoSpQVFnrFQs2l6Zjn4d3lzY2cKDAA1x7hz9y6DMOf30y5PzX6a5bnm/n2ZKn7R2RmXlmeyOYhZbtgIIYizgnGU8eMX2tNr+507A/7Na7v0RpLTNcnNTsDNTsAwTPnC5Tk8z2N1dZWiKBgMBnS7Xe7evcs777xDtVqdosEajcZHOqx/VB7JD2ckHyI+SGvrURLJg1jqJx3fEgW/9BMX+Oe/fx0p5aGdz3/1Y+ceWWBO13XirOAP31xH14RCQ5VxY9fnm7e6ZfLSsHR47nSTc02DM+aYpx6rMTs7q7woTB1DU1Lh+3h+dd6iJKXm2nzzxh73ehGupU93cFGa8+7WkLNtm9V25RjR8WCESUqUQydISYyI5YbFZ8+1+PbtHnvjhEBKbF3j4pzLM6sN/JHPvY0NWq0WM+02tqlNYcgLdYfrOz5+lKCXyWSi+rvSdJTtbKBsdiVSebyn0Kw6nGo5XNn2sQ0NQxMIIej7MZ6l0XLUdx6FEZahYxj61OBqvmZRdy26o5C6o1z9kkzNJs7PODi2OW0VrndC7o9S+uNdqrZiyLcrBr1SFbgIEnRN48nTMzw2q6rXYRDx7VtdNgYJUmYwTLixrXGq6fD8SoM9P8W26tQcpT02makNo4zdUUzFMaZVXKPi0BuH3NnL+JmnFnFNg9GBCmESUtOReQwlxHXS4tV1Dd3QpvM0xzIYBTF7JbiiaulYhijNviBOYvJCIjWD5fr+zvteL+StzRFJVmBoGjujGM/UubjUoD+OGMcZp2cqnJ+vUTVUxSuRbA0jHFMr/eLV+fdMjWEioci5OOtiWyaWaTAOIqqeQo8pQieHSwup2rCDfpff/vpr2KbJY2eWuR+ZvLEZEKU5c1Wb87MeV3fGXN3xVdtXwNMrdT5/vj29v/7wyh55IVmu6VMjs61hzB9f7/LC2da0RalpGq1Wi1arxfnz50mShG63S7fb5e233ybP86n1woS78r20wR61tfXDRPIRxqMkkoex1B90/P/y82eYr9v81tfusN4NWG25/BefO81f/tTSI392TdN4ezvAasc0qx6jciHfGyuSYFaoSgipCGvfvNnBbxVcXp2bok8AbF0wDMJD1dLBBDwKY+71lU/FwfaNbSgdpVu7Y1quQdW1T0wmhZS8st7n6pbSEzN2dqhagpfOtfnJS3P0goQ4K6g7Jp6ls7Ozy3Aw4OzqCrppgxC8dqfLOFYtkNWWy9qcx41dnzDKiSmdBlsOlxbrRFGibIKRbAxi7vcVymq2YnFupsI4kWz2g9JvQ+LogmdW6sjxflXX82Nu7AV0wgJBwWrL5clFjzfuZfTDdNpOO9V0uDBXISkl6Nd7Ca9vhuRZjGVodPyEbpDy+GKVlaYyy7J0jaW6zVLTxjB0dE2ws5PRiSQVWwkqGrpi39/thViZz4X5CpIET3hUnQq6rjEOI6KsICsklZIpbhpKtt4qFZL7fkzu5Li2haFrbPXGjJKcmmspgchhQcXa18xK8gIhJSYZmm5Srzjc3B7x+v2+kj6R4FoaddtgEGV0/FR53Osac1WThaqBZ1tkheTK9i5Fwb60u4RBUnC/6/PS2Sb7t1JBIQVVT5lngfKqT5JkPyEcWWfjJCVOUgrN4MaeT5YVVG0DxxBTaR6AcZxj64Lz83X8MGYcRPzh73ybe/2YxflZFhcXuNsv2BhG/MwTc1iGTpzlLNYdnlisTgmue2NlZdxyNLJo/8PMVkzu9EI2BxF1Z79VNI4z1jshmiY4N+OyuLjI4uLiVHX3oP2wZVnTpNJqtT40ufBRhu0/SPIo8AOQSAzD+FDD9omX+gdlqeu6IpdJKfm5Z5b4uWcePXEcjVs7A+4PYs62JOMwmbodXt8ZkxYSz9Sm3A1TFASFpE/lUBIB9VDWHIvRAa+So5VclGbo2uHvaho6MoimMN9xGFNz7WlCm8TV7TFXtscIJDVLoOkaoyjn6ze6/MxTCwdgngVbW1vEcczS8gq6ZZEVgt/+7h1G8X6yf29rxEvn2izVHd6+dZ9my2Gp6XJxoUGSKo92JLy1MeK97TFFoaCfG4OI9V7IS2ebXJqvKEFFmbNYt6naBvd9tUAESc7Xbvbolw6SAkE3yFisGvzo+Ra7Y0XOqzsGs9X9tlacFVzZ8RFFwly9QpZnuGbBKMpY74b81MUZLpSEPiGYeqwA7AUZumFi5DkCgW7oVAydhBSnUUMYGVEYMugP2NIEruvSqtdpeTaGpt676ljTeznOCixDUxsJwI8S3t4ccX+YkOYCwYCKpeGZOp0gxTE0cinJCslKw6HpxAhgexDwyt0eudBpejpSFvhxTidIuTRfIZcSiRpMz3hK4j8o/ePjXNCqOhS5SrKarlExlJqwn2SHFJSllIyDCAmcnavx3tYIS1PzCYlUKDtD3xe9BLbHOW/c3SXKiqlvy1y9wsAPlRUwitP07Gobq0SODcKMrWFCxdJJxgPuXB/geS65VeO1msl/86XHTuRg2aXmWxwXGAd2XEkuMTVtWg1KKfnGrR6/8/Yue36CJgQLNYu/+uwSTy3XEEJQrR62H56Qlm/dusXbb79NrVY7xF15WJIoCvXdf1iRfMzxfiXjpGJQMg0Pfq2Uklu3bnHjxg0uX364l/rBmNwEH7XQW5Rm/NGb62rBL1sCjqWThoUa3pffR0qpkD2opBlmh9t8FUtjHETEqVA+6SWM9GgiWWk6vL05QmIiUCiWsGyXLNT2wQWjE5LJtR0fTQg8S8F8FadBY5xK7vVDLsxVSFNFMtR1jdXVU+i6TtWx+P+8so6fQsO1FFRZwjBMefVun59+Yp6gBmdP1bEtgyxPcSyDMFby99d2fQxN4JUth0KqRezGXsCPPjbDfNXAtgzGwT5IQUrJrb2AfpjSdBVCSNc0ojhla5AQLApOt5wTr32cC/wwomYbSt4FNVB2C0mY5KWEiBrWe7ZVqvKqyPOcPFMLum4Y0/tR102SLKVeb1Cv15FSEoQRm90xm3d3scloGhbbUUGWKRXfOCtKFnp16sB4fdfnxl6AZxk0XUGaGYwTSdWCtYZHZ6zMt1YaDqfbLv3OHpqmcbfrK5dIT0MgsSw1R9nuB4zjnOdPNzFNbapSMAnFEcmJkwTT0LAMi6IoyIu0lJffP39BknOvHylya0nkrFvQCzMs08RPNVwdLs1704F8lMOrd7oIFKF0osV2rzvmudNNGp5NmmbMN1yiaP/6+klOlhfUnf2FNwgC8jDmT7+xxWOOzwuXT3Nqvk0h1XnbHCiRzPOzHl+7NmKmLBjSvOBeP+LxhSqrperC1R2ff/vqFlLCmbZHUUg2BhH/+jv3+T/+xDkW64cJk7quMzMzM0V5RlE0bYPdu3cP4JCEy1FE4QRs82ETSRAEzM/Pv/8LPyHxfU8k7xeTC/CwgdWEpT4ajXjxxRenMMAPc/w8z4/JLXwv8Sdv32EcJYcW/HGYYBo6Tc8EIcjzgjxXch8K5gytA/OYiqUz8ictLUmWKzdBpYN0OJFcXqgqo6s4R0dSZBEFklNNl5XmYdjrKFTSGePSACrKcixTJ8/2vUgEUGQZQuhKgXdrm1qtquY2QuDZJvf3hnT9FEfX0DWB0HTyPKNiGwyjrFSUVTtW2zQIooQkVd9hmEqStFDnogxNKKTP9jhlHCZoArIwp+LYh4ibO6MYU9fQhMDQdLIsxdSVX/pG1+f02szUR2USlqlDacSVFxJNE1MWfFEOoZUHiKTuOozCCKQkLZTZ1XzN5n4/IklzTClxXY9cQpEFzNf2oeFdP+W1ez7DOEcWBpZhcqpusCxitvyYONUxhORc2+FsW12XvJDc6YWYuoZnG+RZhi7AMyTjuOCltTrPrYrpnEkIgWko2f84EyVsXb1/WvI4HMsklQLbMgjj4+3MpmtSK69TW1deLmmaERUaSw0Lz1IJbhRnfHt9wCBMMQ2dYpSyLnzWZj1WWg79MMNJcp4532apWSGIYhzb4sq9PmmWH3JE9CydbpCyPQhZqllUqi5FLql6Nn6g2mSWLsprpNjtUkps26I7UjptN+9tsr6xhee63AktdnOHAkWobFdMZlydvXFGtOsjgLNtl7/67OK0ivnOnQF+ku9LyWiCM22Xa7s+b9wfslifO3auDobjOCwvL7O8vKzmdaMRnU6Hra0trl69iuu6h7grk7b8h92kjsdj1tbWPtTffD/jE59IjAODxpMSyUGW+ssvv/yhYXxaafP6UZIe13cGvH1nFzhcOUiUsu3F+Spv3x/gJxm2oSOFICgJeM+VLHpT10qc//5xs7zAtUzCoiDKlTeHMSiYrVks1R2+dHmOq9tjNvoK0XRutsLFEmF1NMZhNK1MZqsO97pjPH3yKZVplhCCNBzTD8bMzs5MW26WaRBGCXn5aiFUoheywDRM8iJByon/iaRqm9MWESiPlChO0M0JV2Q/IeqGSX6klRmUygaerZKOoakkbJg62ZQUV/69JhRDXkKt4hDEKUUhSTPlmdH2THZGMXXNnAIgxlHKasul6VlUXYveKGCjryqmYaSMwVZbSkn3XjdFZAWRTJFFxrm5GhcW6gRRTJLJ6UJVtw00AWEmWR/mfHqlyafOWYyCCL1IEXnK/bt3sWwbzbKVeZhjH/ruk+/ZGYVUDIea55KkKYaus5VkOI5B1dqv5iaXWUqIkoSWVyHNMiUSGSoOz91eSJDmtD2LlaZD0gnpRTlFruT8647BWtvBsSwsU+f1+7sMwpR21cbQNPI8w08k692QHz3f5mzb41baoWJAGCdUPeUFk+bFUUkFdX2EIMnkIZRZL0jZHqWkaHg6VGydfpjScA08x2HohySZZG1232fmlVu7XN32aXgmszMtWu1Z9saSui75Sxdc5peXqLsGlxaqU9UBULMU55g1tQJ1DKPD910/SHlrU4ldLjVsnljcryAnf1ev16nX65w7d44sy+j1enS7Xa5evUocx1P13snM44MO7X+QvEjgE5BI3u/ETi7ySQv9UZb6oyIrPkr2fJrl/Mnb69OflTru/m56MA5Jhh0+NSO5FagdXV7AjGfywrkWM55FnGVoRY6UxbHjh0nK/WHK1++nZDJD00I0AadaLj/+2Aw/cqGNHyVUHeuY//vRmLS5Hl9w2e6PGScFpoAiUYTDpg1GMqS1tES7WSfJc4SEIs8ppJpB1GxD7VZdgZQKchvnqppqexaFZTAKomMJfqFmYzDATyUNzyJNU3TdIBgrwuJJ5nlhklKpapxfqNMJ+wRhjKVrSFTbxCpFDtWJh+2+z7XdkI1RQpKkLNQszs16pHlBv/Q+ESjPjqeWaziWQW8YsONnfPe+TxjHuKZOmOa8sznmTNvl8ozJKNdwHYu5SoXlhkMYJTiWxc44ZBxlpcKu+gI116AzClnvhJxuuTiN/cWhNTsLecZOp4dBQac/pO4Y6LqOYRikucTQBVVLRwJDP8B1HG53fW4OQQwjlmZMGo6xr6mGYuU3qy4LFZ0syxlmIe9u+9zoxqqFS8F6N8AxNJ4/O8soiIjSHM/WWao7uKZGkqaEScL2KKbmOpiGrnxUKLXagpSOn1KxlbKAavNppGmGnykosW6YCE0pFE9ERLOiYL7hThF+9/oRb95Xwo2aEBSFpOraNKsOQZwz6I2wDY2zMy7nZhRBLy8k9/sRtqmhCzUc7/d66IbFjrB5cW6JH3ts5sR7frXlqhbwgVZ5XkqyzB/QnXtnc8S/+rP77IzULErTBE8u1fiFl049EMVpGAZzc3PMzamqJggCNjc3GY1GfPe730XTtEPclYcJMv6QR/IRh7pBDy/0D2KpP2p8lInk29c3pg8JgCa0aUWSJAlbm1vUPJunzq/yKV1X4nhSUneUtlGUZjRdk/44OPH4wyjjj97dIkfgmhqGoZPlkjvdkOu7PpfmVI92HCUnepuAsu+91w/JC8mpVsqF+RpRkvHanS6jSLVVFl3JubrgzOoqpmESximmoWEaGut7SmK97Zk8vVLnm7e69MMUQ9PIigJT03hqtcVCw+Pu7f1dXpjk9MIUUxPMVC0eX6zy1saI3WGoQBVhxEzF4tL84Z3Yzijhdidgp5fTDkY8c3qWMy2b9U4w9aM3dY3LC5XpsDfJCr5xq083yDBEgabp3B2k7I0TPr/Wwk9ywrSgYuvMVy3qJURVAm9vDIiThLm6qwymkpQkL7g/iHhuTuNc1aJaOw6I6PsRmq5jWxZJmig1gFR93yA96f4SSM3g/NnTUPH5xvVdgixHzxJSPyJDY7lu4mo5Uhq4jsMfvbvF5jAiSVJ002Q3CZj3lFDk3lhd69Ozdc42zSncdRzn3Nzz0YCKqWOaDrJkul/fHvC5tdZR0NV+lHD4NEkwLRMQJMmEr8K0FExzye1tn9t7PhLJfNWmokv2hiGeY6HrOqMgpF2xWa5bSFmQZAXvbY3JCuUXM4GDd4OYVqXGUwseumFgaRJb3yceZqVOnK4JbNtW6DEgSxN6gz5/+EoP2xA8tbbC3Eybr97s82frffJccmbGpWrr3NgLmK9ZFAXsjGPOtF0+dUpd0yDJ+X++skHHT6bClGEp3/+f3t3lP39u+UFn61B4nsfs7CxbW1u8/PLLDIdDOp3OdANcrVanSaXRaBzquEwkUj7O+Bf/4l/wz/7ZP2Nra4tPfepT/Nqv/RovvvjiIx3rE59I4LBMysNY6o8aH8QS94PEwI945dqmakE5JmGSgYDruyE3Ol1GYcJ8zeL5dpOKq9oZ9SNOcJ5t0B8HWIah+BVH4k4nIMkltqYeJIGy/01zwVt3u1yaW5m+dhyWlUnZ6gHFX/n2ujJ7Eprgu7dzzs54fPGJRVpmxk53CEVGzXOYn5+f9nYncjFfvbqDnynHw4Zr8tzpJj9+cZYbOz79UDnirc0q7kFv5ONZysTqzfsDrmyPibNiKm/xwpkGTddge5wRxQntisvlpSbZAb2m252QV+4OSLOCIpeMBhlb72zx4pkGS/UGQSbI0pT5mkXTNaeLzb2eatlUTIGuqXNsIxlGki0/59KsPd2RurZJWLbP4kyhuBxz/54zTQPThL1hRJBBPT9eKYIijMqiIIwiXNeBUlIkziVztcO72Lu9kNudUPnT633Ozbh86lSDO8OUUZBgWQVznsayV7Czs4Nj6dzzBXcHCoZtIzAMyCnYGhf85KU5PqVJHNsiL31iJtEPU+KsoFWenyxLMS0L1xSMM0GaSeVdX4af5IziDEsTnJmt8c79Pi3PmF6XMIWq67JQt5Eoaf3XNgM2+gGWriGA63s+Dcfk7IzS9pJZwcWFGk8sN7A0iFOlTO3HOQ13Xw5HIKi7NruDgCfmHTwLpBRUXItxnLPZ89E1QdU2GMQQl6rFk2tnaIKqpbG+ucuNezu8en/MSFSYn5/DcT2+dqPHTMXk3IzL7lidp8+cbvCXnl6YVhpXd8ZsDWJOt/Zbaa6p03QNXrkz4OeeXpgSRyeaX3d7iifz1HLtkJHXhEOiaRrNZpNmsznlrkzaYO+++y5pmtJsNqdq5B+3aOO/+Tf/hl/+5V/m13/91/nsZz/Lr/7qr/LTP/3TXLly5ZGG/N/3RPJhfNvfj6X+YSLLC27uBTim9r6WuB80/vitO2RFMVV9lFLyTqdgfTRUEEBN484gY+utbf7yswYt9/DpNzRBHEUlKVIZVRVH2ltJXgosohR8J/aEmsxIMvaN2MsYRwkVx8KPEwZByp/d7pEVkqZnkaUJKYIbuz4zd7osWSlmEVNvKbz8QeROUsDvvb0x1dhyHIt+mPK16x2+9MQ8L5fEMFCyL8l00cm51Yl4azNAQ1K1DfJCsjtO+NqNHl9+Yo5TTbfkJyhnP9tSbnzDMOGtDWW81XAN0kSiaZJxKnlrY8yXLs8qtWTNwbXNA5pdEBUaeZqimwdk8hFoQrLRHfPp1TpISZ5L0lJrbHINjpJHs0zpjhmmgXnokkk6vqpyNE0wWzGZqZj0Ykk6DtGEIMoknm2zNrOP5rm64/P25gihG4g8oV9Idkcxn15t8PkzNcIkp1l1MTRBlKjr1+2PeLPXReY5yYFevmVpBFnB+u6Il87PIYQkEeYhs63JhqOQEl0ITNMiiWOyrECIHF0XVD2HMFZouzvdkCQrlEe9UVBzDPphNhHFxtI1zrdMbF3DtQz8wmRj4NN0renC60lJP0w503b5qZUZEALXUtybKFNMfMfhGP9E03WKJDsoWoAE/uxmh/VuSJyrGZ2pC9IkppcqefqskGS5ZL6iUS0lWTYGETujFNfo0r3To1Kp0pyZZXfo8JMXZ/gv19pookSVHXhm4qxQ5+pIf1XB9yVpLnFM9bp/9a17fHu9T5QVCGCmYvG/eGGZz5xuAg/mkFiWxcLCAgsLC4e4K//6X/9rfuu3fgvHcfiN3/gN4jjmi1/8Iu12+9gxvpf4b//b/5Zf/MVf5O/+3b8LwK//+q/z27/92/zWb/0Wv/Irv/Khj/fJEe1/SOi6zp07d3jzzTd56qmnuHz58veURP79G5v82P/lq/xn/7dv8qX/7uv8n7+Z8O7W+Hv6jOs7fW5sdac/h0lKkOTcGRUIJJ5l4JhKRC/JCv706g6udRinb+lM0UlJmuFY+jHW/2zVQgNyCVKWki6F8idfqDsnDjj9KKFiW6yXC0TNMSgyJSMyIXS9d79Hp9fHME1WFucPJRHPNnnzTocoVXMRQ9MQsqDhGMQ53NrdtwueLFr5gV37tR2fIk+pew66pmHqGnVHIYa2hsk0iUwiTjKCOCHKIUiVD4quqaQqUT36UZxNuQhZUSiDKFOR7aquQ56l7EMc9qMoJLahE5YIMtvUMHRBEOdTafPTLXcK0QUFDvAzQcWQVPQCxzJxbIvv3h3yx9e6vH5/yKt3B/zJ9S7L7QorVTXTSIuCpqvz7LLHUtNTw/JM7WBNw6RqQMU2aLomuZRc2Vb3YNUxyLKUMI6pVxyFZrItbMvGsm0lOFjK70RRRBzHBEHI1s4u/aFPkmYYpsWOn3Njb7KDV+dMN0ylNCxVkl+qK0n5cRDx9kafG50YwzBo11wMqQiNmgZPL9c403K5OF/hs+ea+xIwQqn16oaB4+wnbU0IdCHYGycIlO1xlCiZlm6QcmNnSJokeJZBVGhoujaVFPLjlLZnTofk652Aa7s+QkDL1alaGkGghESX21V1fMvgqeUaa01jKhoZS01J9Jc/+/6Y+3dus3XjHX7nG28Q+qNDSWR3FHNle6x0xcq508HnsxuoxDixSv7KtQ5/eqNLwzW5MFfh3KzHMMr419/emCIWPwirfcJdOX36NP/0n/5Tbt++PeWq/ON//I+Zm5vjH/yDf/DQY3yYSJKEV155hS9+8YvT32maxhe/+EW+8Y1vPNIxv+8VyftFFEWEYfiBWOofJP7k2h7/p3/39qHf3RsV/Nf//ha/e26Z2eqHdyTLi4KvHHE8jOOY169vKQVd84CxFAJDUw9YlO7zY2qOycg/PBfxo32TqkmsNB0WGzb3ugGZBoXI1IJoaA/1lfejBCE0pABZFAeWV4kscoJE0m638X2fME6n8GDb1AnjmEGUlQPw/QQjpUTInCAXU9kL2zQIwsPilEGSY+oaWZaiiX2XPU3T6PshK/Xjw0uBUGZLKBMrSVGCD9RiI+DYQD5KMzzbpChyzs1Vub7rM45zKrYaQk+01FbbyjXQMnV2hyGv3Ruw6xekWY6pS9ZmPFaaDtvDGD/OMUyTqiF5brWBDAdEScqVzT63e7GSXpE5QgiiAt6+1+NHL8zw9EqdvJClqRhkec4oUES8FJ2qIQ/lONfU8ZOccZxNWyy2ZeAHMXmh7I/PzNXYGu1RlMNt0zSQQsfVJW1PZzQes9fpMMoNbo0Eca5QcJZp0LB0pNDZG+7fY/M1m0sLqg+fF5L1boROgWebyLyg4jloupKwry0ZnJ87/OxVPYf+cISmKQBGmiQgBKZpUuQFBSmGrmTtx2FEkOR89+6AvXFKVkgsXVCxdOIsZS+WWKZJLpV45aWFynRPtN5V1Z1n6mi6QVHkNDyDfpgy57p8ZmWWimeT5wXrd0fqeXIdsgfYJWd5zqDb4d/+wbdYaDdZXpjh3b7Om9sK0eaaOrau0fFTxnGOY2oMIjW7/AuPz02f5W/e7OEYGrWJ9IoQnGopBe+3Nkb8+GMzjySPUqlU6Ha7/L2/9/d48skn2djYIAhOnpk+Suzt7ZHnOQsLC4d+v7CwwHvvvfdIx/xEJ5IJS13Xdc6ePfuR9Az/+z+9PVWbnUSB2vn+v17Z4L/68XMf+piv3dymO96XFB+NRuzu7GI7HrqecHRXDKpwiNOMVulX4QcnS5KPgpiKY02dEHVN8JOX5vjGlU02xookt9Jw+OzaLA1HO+Gd9qNqCXSE4qOUsOQ4jskLWJuvYZrmvuxKEFLzHOISPlt3DO6VcN6DQkmFBFcrcG0TU9cY+oe/h0DNDnphhotOIQuKtEDXDYoimBLYToq2p7wqxiUUVNeUa2SQFsxVrUPzpTDJuT9I2B12sU2N1abDi2uzvHK7y6BEaJm64LH5CqtNB9cxGQcx37rdY3MQl4uHIBUG72z7PLtS47G5CimqRbZYtzF1jd3yeb7Xi8izDNMS6EaJ0koS+plkcxDx1HLtxO9kGRqyyMhyJd2e5zlFURyz/zV0jX6QcnVrxJ6fYBsayw2HxbrDXpATpaDnBYahKa+WpSq6EPhxyptX9gjTDEcrIMtIM42tyODZ001s3SMsWesLdXu6W0/ygiQvsC2TLM3Ktl+OIUDoJvmR5kWOzuvre+R5gasrGuxEJThJ1CbJMJRt7jiMkBK+e3fI1jCmWsrMxFlBL0w51XRoVV0GfkTDMTjd9phreiRpRpxkRGmBqQmEpoEs4IAJ1qTV65ekVSk0+qlO914Px1RKy34p3QOqHSWAxbpFzXPZ7g74T2/c4eZeyEy7ydLCPJpZZ2eccH7Wo1ZWJk8u1fjxx2Z4rASCSCkZxfm0op+EJgQCQZhOPO8/vGBjnueEYTgdti8vf7Dh/vczvu+J5KQZyVGW+t7e3kOFHT9MvLc9PpREDsbVnQ/f3hqHMd+8ohiuUko6nQ7D4ZDFxUUWDJvXt+6S5ODqagGWpczF2mwFy9DI8wKt2O/RH40wzXl3a6JjpbFWynI/u+TwZJrSai/t96VtiyBOSo2q4/HEUp13N/rsjFMMIcnSjBxB1TV5cqmBEOn0PKv2VIaugyV11mYr3Ch5FZOHMkjUbm1troKhCUZBSNV1GAXhIV+X87Mu3703ZlwOsdE0RsMxczWbi4v10iBJIXb6QVb6Uighxs9dmOWP3t2mM47IypZNzTF49lR9+h7DMOVrt/oMghTK9tfNvYBPrdT5wqUZBgmEUUK7YtBwjKkF7d44YXeUTBc2AIOCTEru9FOeOdUqpeOPPyZxXkzPu5QFWS4VLyaVU1uAg5HlanbVrpg0bF21g4Q6P5puEMWFIulZOpomGEQ5X3lvl3GcYegaeSHZGsaszXo8teBwazukVnE5O99gzlNtJIDtsYJft2suGmohKwrlyPjO7W0+s2hwptnAdjQQ+5sCy9Co2CajKMU84M6Y5AXkBaaQuLaagbxxf8ib9/okmaqoZaYx3zLw42zaDjJ1jUtLVWpGga7phLmgG2alVplafO0ScdhPBJ9uWtiz+8CZsa8QdJ5jMdf0uNMZUxVQlO3GLC/QYKrZBXB/EPGd+wlxrkQ3bcfGc2zCKKY7/VyCs7Mel1fajAJVJd3vKxHKIvK5v34L3dAxvDr35Qz/9D9/bmrgdjCEEDy+WOGPr3WZq1rTe9GPM0xdsNoqyaaPoLM1Hqt1aMJB+ahjdnYWXdfZ3t4+9Pvt7e0Hitu+X3zfE8nROIml3u/3PzJ47lLdYRyNj+3c1S7lwyPA/uzqffJCHvLlWD21WkIl4alZkzc7xXSHIoCGa/LilHgICI2T6pG9ccLvv7ujJFWEBlLyxr0hX7g8jyckcVEcGgj65WD9YDKJU+WLPlt3CKKYn7g4y3du7nK7G2BbNgt1m6dW6sxULXx/vydcc202uiOCJKfpWZyerfK58xnfvTNgHKsdft0xef50k5VWZSpvPwpC9oKc6ztjoiRDSyRPtQ2eP9Pknc0RcQYiS1htezy3qoh8nmMBgj+71eXK9pi03GU6tsmFtsVPXZzhTi9kpzugWTG4tNxioVVVhktI3tnyGYQpNVtDE2qu5Cc5b22MWGk6LFV19LqH59hAMf2s4zgjl3KaRCZhGRrjOGUYRLRrivOQHUFqzVctdkcJSMWQL2RBnuTIPGO+2SwFMmOitOCdzRF3+xFC06hbGqstlzSXDKKsxEakNF2Dz67N4Jmq/fjm9Q7jJKdZwmJBbSrudEN+8uIsXqaxMFdBMwRV10FK8MNoeu4mt4Wma5iWhVPEaMKk1arihyG73R5RLugVFqNY0qzazFct+n7CKM5wDJ2sUPftSsNhpmISxgm9MOeNe31M06Rqq1lO31cIrGdWakw2S6dmqjiaMmzLi4LOMCZJM+p1D02IKQO/4jmMfSXaOdXDQikE9IIEXQuZdzV2TZNBVODqgiTLCFOlwTZXyuj7ScYbG2OiTM3xLNMkzjJ645zHl+o0KzZxklK3dc7M1tRmBwXrTQs5HdAD5FlOOugi7ArdID0xkQD85MVZ3tkcc303oOmZqrOQ5EorbtIyfITW1qSN9XHBfy3L4vnnn+cP/uAP+Pmf/3lAbTj+4A/+gF/6pV96pGN+ohLJg1jqHyXP43/z0ir/4N+/e+K//Y3nP1wJOQxi3ry9g07O3bt3cRyHpaWlQzuQcy2L+ZpgOzaIspyZisWF+SqOqWHrGiNfobSqrn2IQCglfPWGWkw8U/XZNc1gFCZ842aHzy9rJ1ZpfpTg2YqM+MqdPtd2xuQSNFmwNutyxss4ZYU8/+wStu3QrLpTtNOEha/rOv/ja3e51wvJpdrFnZ/1+InHl1hpuuUAVanGupY+tVwFeO3egLc3Sg9uwyAKCzrZgC89vsClhTr9IFJ8Blsh5Yo8Jwhj7g9iruyph7vu6OiGwTiMeHcrYbZq8eRSjVktwPOUffDIDzENHR1l1mRp+85+Qqje+yDK2B7GnJv1StJZQZJk5fxHSe5rQpCVxL9JZIXANUEXMAqUXlnVtbnT8bk/yvBsOD1T5V4/ph/lmFpRGnMVLNRs5isG4zBG1zS+c2/I3Y6PZ1sUecbWKKUfprxwpkmaq4W6YuksNWw0maMbJnGa0Y2U6vNB0INjavTDjN1xzIxpEMUpFWOfIe7YFotNJYaZ5ipBGuVwPc4KTrUcKpUKlUqFrWHEd2/1COIETYNtP8cgZ75iEOZqgTV0wdqMx5OlmKGha9zpjUiznKqlKSdI06JiZQR5wSDMeP50A8eyiNMUKfc/e9XWsUq1BsdUcFjDNOkNA2xDm3rU51Ly6t0hd3th6d0uqXsuSzVFfB1GKaZh8uR8nbW2Na3EdkYpYVrg6WXbS4BtasRZwfYw4omFChKdRtVTKgxKbRLXUu2vJC9wD4ieNuaWaczOTHlJJ8XarMf//sfP8vvv7XJl26fuWPzsU01+6uLstGX4qBLytm1/pJJNR+OXf/mX+Tt/5+/wmc98hhdffJFf/dVfxff9KYrrw8b3PZFMSsKHsdQ/KrtdgL/+3DI3dn3+79+4M61KbF3wf/hsk7XZDzeD+fbV+/T7ffb29pibm6NWbxyDMwohqJrw9PmFQ+q9SBCymCaDIE6wTWPq7d3xE3p+im1o06FjUeR4tkFn6NNvV6jqJ7fDgjjhtXtD3twYYmgapiZJspy37g3oVwVffHp1epOOgqgk4yk8vqHB7761UVq1aji6krt4Z2uMrm3z+QtzrLbVYqeVrZm8hE53/YR3N0foGlRKnKxhGwwitSv/scdm1VxD7vvE67pOISX3+hFporgpumaQpgmuoYacd3sRyw1VLR5Mnkma4dgWkvcXxXMtAz9UMiBJqS12bq7GW/eH7PkpFUvH0DWiTPnPn2tXpuifKMn5ytX77IwSsgKkjJkZ9HhxbYZbOyM2hxGaEDw25/HYfGXaurnd8bnXGdGqepi6IEsljqGSwZ1eyMvnWoc+Y91TciC5lORZgtA0DEvBtCc3qwBqnkPY72N7Ssdse5SwPVReJLMVk8WGw+YwxREasmSt24Y+VTYupIJPJ5lkpupgmiZpGjMIJONc41OtnGGggB7NGogiQwgLXdeI4uywbE+WkucZhukiNQPbNEgzRbLNC1mCShRScKXpcKsTUEjVJhsOxuSF5FOnZ2hWHPww5tZewK1OgGvqVG0FVe6MAu5kGj/x2Ay6psAqlq6kjSquRZZJciKKcrN58PPpmlDunyj9sXEQUZT6aZ5n46Q5Kw2HG3uqCrB0Da85i6y0eOls64HVyCTWZj3+dz9yRum3ieOt+jzPH8pgPykmHJKP0wr4b/7Nv8nu7i7/8B/+Q7a2tnj22Wf5j//xPx4bwH/Q+L4nkjzPefPNNx/KUjcMgziOT/jrDx9CCH7lyxf5X7+0yrdu9XBMjWXRx5AfLlH1xwF/9J23GAxHah4y22IUpYyijH6QUrUNWhUToSm3ujBWgoGTBbTmGAwPsNeLQk6HiEX5ECoB8P2bSQihyGa6UcJ/H5BIkpx3NgaYuoZramRpilZkGJpgN9GJcqgeuPLDIMJzLLIsph/kbPRDXFObLoi6piPTnGs7Pk+v1HFMnYqjBvMHNbQ2B6q1cnAILgsl631vmBAmyZQpDWUFIQQ6kBaTh1CQFxm6oU/RWRN029GYzDrmKoaS/Ki5IFXCDVLVKpmvWVOBwzQvuNON2BrGaAKWGg4/+tgs37kzYrM/JkiVltla2+TiAXb96/eHbPRjPFvHzFIkgn4M313v8VMX2zxHfXp9DsYwzNANC/KUNAehaZimiZXJKQt9EjXXYeCHCJQe1amWy9XtMZYWY+gaumXQH8dUXZuaKemXf/fq3SE39gLFXyr/dqXp8PRKjRvbQzBMVusua22buXJRHEUZwyjFNTUsyyRNU4TQqLkW4zjDrs/wzCmbJInZ6/bp9Xp4joVmWFQMZaNbTAbe5fXMspymrWRQXNui48f86ZVdemFGISWGrrFQs7gwV2FrnBFECY6pszbjslpXro2GrrExVjt429AwLZM0Sag5BoNAVZcXDiDHJtL2Fdeh6RqYlkWeJEx3c1IpHCw33OmcqSgHpHkhGfmqxfncmTauY3NzZ4R0qswtn+LltRZ//dMf3FLiJD07eDRV8Y+bjDiJX/qlX3rkVtbR+L4nEiEEhmE8lKX+Uba2JrHSdPmrn1ZY+Bs3fHz/4bpUByOKIv4f/9NXCIKQ1VOnME2Tzijka7f63NgZk5c+5EsNh+cWTAwkWVFQ92yGpS/JOIiOHTdOMyqOzTiKVduo1HlyNbWoakI9GJYuOdVyGAxOhjeOItXT9xyLPE1J0wTdMDA1jTBVg9ejaKkgShS/IleD4YNCd1D6r2fK68IyNGWJWy4QR+cHB0MAeqnTZBkTGG52bNGdq9rc60UTBUgFH5UgdIP5mk2e52RZNh0ea4bJvb0RNcfgiaUq3SChO4rQNBCagYYahtYcEw3BOEn52s0em4No4ibMrU7AmbbHy+eahFmVAh2tSKgcODdRqqTIbVPD0gVxppSCtTyjO5YEmaDl6aQnSKDUKzZ5NkSaZkkgLUiThCzPmalWMA2dNMvxHIvrW31udkKGUUrdMVlp2sxWbTq+8olHJniuxbOnGrSrNr1dyfYo5cZugGlo1EpByyQv2BxlLNVzfvrxWQoJhgaebaPpGn4wEQIVmJY1nVXAvgCnEIICMCyb5aVFcmFwY7NLOA4wigSryNkdpjimup5BCgsNk/NzVZI0I0pSvnq1QzcqaFSckuekpOgfX2rwpUt1gjhTEj8HFtksL/CDCE3mmJZDKeKFkBLEvsvm9PNKSa3iMg4iWq7OrCu4PQbN1DGlhh9EuJbBhbmqcis90II9GEWec2nW4TPnZvmR559mvuEdUi3+XuJRZyQfd0XyUcf3PZFomsYTTzzxvna7H1Vr60HH/6CJqtfr8dVvfYf7g4SVU6emffmv3+hybVdJvpu62rUp2fGUzy2rh9yPUvXvQpI8gEnvR7FqNYUxz642+OatHkGSY+gaQRShC8Gzq03SNMMzT75BXUtH1zXCwEdIxVA2TJMoSad4/KNRcy32un10MkzLI8kyLGP/dVleYOoCz9KpOBZDPwAEmqZRdW1GQcRSw8HUBVGW73uP6xpRFHN5sUaUqO9f81yCKKEoDcWEUC51d/oxe0MlswFqUWx5JmuzLv6wpxj8lsuf3Rlxp+tTFJKKpfPEUpWfuNDmdjei4ye4ps7pGWWkVRQFfpRwqxOwMYjwTH06D0mzgjvdgNWWwxMrTUZBhGurYfC49HJJylbXZBA88YQ3TIMgyeiNQ6qGQ9V1SItiulg5tsmMk+GaOqMycWtCJSYpYaVmkKYZ9arLlc0hX7vRJc1Vy6Xrp9zvR3x6tc7arMcgTKk4FvMVnYarE8UptmGwnSh/+9oBCKpn24Qj9V3XZj0mVzAs9agMQ2fZqzLXCNnojkpZGVESAdXnnJpTSbjejXntziZxqvg0ruVxYUlnFCZsDhTHZcmVPD2nE4xHuK7LXqCG7xVLg1y1wiquQyFS1vd8Ls+5h0yzDsZczeJ2NyYt9bw0TUNqBrouj4kl1qvutKrQheAzp5vk4YixzChSwemZCk+vNJmvWYyCh3c0GlWXv/WlF0tAxkcX//9gswufgETyQcIwjI+8IjkYHySRSCm5e/cuV65cYUCFufnKtOkUpjnXd30oJJaluA6TSnfXz+hFGoso4mLDNemPHk4uGgURFcfi8cUarqnz3taY7jhgtu7w+FKNc7Meo9GIYZSw6tqMjhAAa5bOrJVzNyxwLQMhBHGckkrBSsM65AEC4DkmIz8EIagZMOdqbIw1KCSGYCoLcXGhSs01CaP99kFRFGV7wcbQdS4v1nhnc8QwVD4rSZLRcA2eWFQS2qL8frc7Idf2QuWx7pp8+vQMnz9X590toSoT4OxshYuzLrtbm1iWyZnV0/zelQ73uj6OIaYeJN9eH/DS2QZPLHoIcXAnV3raezb3+3sIODRUNw2NIC3YCwuGvoIsT7w7PMcuB/EFrqkTpDm2ZZHHSp8pTpXDYbOUuRmHEYMw5VYv5U4/QJOS002HT63UeHNjxChSLoSmrvHYnMfarIdp6AzGEd+53UUKnXZVoaCEEIyijHe3xnz5iTkuLdTIi2I6ixJCECUpcayjaTqGaSmyp6aR5RkClWAORtdPWe+GBEnOXMPjXNPEj10GYYIsyhmCqfPMSm16jrqR5Du39jA0QdMzFTIsirmeGfzFp5ewdclgMCQJxghR0Ov12NndYZhbJFlBxdxPSFmaYGqCpBBYloWQGSftHS8t1tkedegFKY6pkRc5aR6z1LA5O1dTiLowpuLa6podaP3ahsbpqmRxqY1hmOhCVYXDQAlHGpo+5bQcDMc2+fmf+MxHnkTg0RLJD5ryL3xCEslRt7+j8XG0tg7G+4k2HlQbPn/5Sd5+ZR1xAEA8jrPpAG8qtIUy5sly8BO1AGgCxn5AxTHxo+NldiElwyjD1DV0LcUydM7OeDy+UDmkKAz7/fihH1KvuNNkkqYp/d0tLjVBMypsDWPFRdAEizWbLz+1PF2sQC2mcbl4ilLO9UcuzPCNm122hgmhEBjAxYUqz59uIpBTXbI0L7jdDej56qE/N1flRy/OM1u1uNePidIUOy9oahHj3i5FUsHzPK7uRrx6b4CUir3djXJ+/50Nnj/d4LNnW7x4Rn3HKArZ3t6iVqvTbre50/XZGoRqIK9rFLmSjh9GGVd3Ak63yhmJLKi5NoNRoHwm/BAhNDR9kkD3r52mayRJghDe9HdSSjb7PmkuWWi4PHOqyTdvdRgECeTKv1wKuDBfme6sR3HGH1/vMoqVrwxC4+3tgFlP4wuXZtnzE7Jc0q5YJblSGTjtjWOCksiX5xmGYSA0DbdQEOZhlOPZ5jSJHIyZisndQUoUxVimoUzPckVuXKztL4rr3ZDvrA+IM0WOu9ONqNganz7VYBybBDnUHJOFijbd9XuOzddvbFFIprwhIRTrvB9mXNno8fRynXbNYyf0abXaiLYgzVJ2+z56d8gwiJRRlabhuC5BpGTniyxF0zVqpQd8WCZnXVeq0C+dbXBtx2fXT3BMRSK9OF8hSVKSBDzXUogr2yKMDgtUylIjy9AEtYqjjOGg3PyoOVXVVSz4IIrRdZ3/7Eefo13/eBbuRyEk/qB5kcAnJJG8X3zcieRhoo1hGPLaa68B8LnPfY4/eefesaRXtdXCkEuJlmcI3QRZTGclXnmWK6bOMIkpYpUkkgMaU9d3fV5Z7+OXqJjlpstPXJpjtmJNeQ8HY5J8hRAMgxA/Fbx3b48k9FmuW5xdXeScEHT8ZNpama1a5FlKzbWV4VMpWvjWvQHboxhdSOwE1iydn7o8xyBMCeKc5XYVikzJ0pctgnGc8YdXdqeaQsqDfcjLa22eXGlxaTGfvjbNMsIgIAgCtve6vLYrkChrX1MXWKIgEiZvb465MKeImsPhiL29PWZnZ6nXa0pXKlfJQ0hBnhUYpoksCixDzX2EpqMJpeY7UQooZAESFqoGG/2AwrCwTJMsS8mUXgyLtf1++CBM+fb6gD1ftd4cQ7XOPnd+hnc3x+wNEmxT4+JijccX9hefazuKrNmqOMgiAxTxdC8oGCZKv+tgOJYy+1JIn1JQkdJ3J88Bga4buNa+AGOY5NzcC9gaxcRBwdl5yULNZnsYE+Ugi5yskCy2Kjyx3CDPM9Jc8vq9IWle0PQUca7IcwZRxtUdn5+6NDPd0+u6pkAXuSSME8I0Rz8yJ1ZbJak86F2brd2OQoXZZumCKVieNVnzFSk010AzdDoDHyklZ6oGw2Efz/UoZIFA4NjWtB0cRAkzFYuZcxb5VApnP1FYhpp1TLTcHNvENHSCKFHJtpSPqXiTiuVwyKJgXN4btm3wxRee4tT8RyuIeDAehZD4w9bWxxSGYXxfZiQTiZb5+XmeeOIJ4jTn1lbnmH+8a+o8Nl/l3a0RWSExRE5WqJ3rQs2kZkm1OJZEo6IoEKVVbCEl692AP7m2R16o1oeUsN4N+B/f2ORvPbd0sMiZxiSR5IXkT6/vcWN3TFYIRJFzrV/wWd3n0kJVPZRHBofjMMaxTLJC8m+/s66SQXl8WQi02z0+c7ZF0zVpuiYUGY2KS3DAW/vVu332xgkVW1dyKyhW77du9Vibr5GnKbXSmc8yTaxGQ1kgDyKK3R0sDdI0I0vV3EQTGlEhiAvBqNNhOByxtLQ49cCuey5aCdGciB7naQoCCk2nago0DRxTQZNTKVjvBIxKJv5Sw+Z+32J7nCCiBKHpCE1jpW5zqlzk07zgqze6dIMU19TVZ0pzXtvwefGU4AsXW+x2Cuqeg+sdftC3hjGWZZZJRIWhCYo84353zGqrjW2ajIJI6aeVSbblmTQck26QUHfE9LqOo5TFVhXXkNQ8h8445I+uqZaPJiBJoXff59ysxwtrM9zaHSKlklFZm/UoihzHthiMEiV8aRtomlaaTIFravSChHGcTauqvEQXIpVn/WLLU7Biex/VrlCHgvm6x3hyPwhIkowkUSCKqufw8oVZHKPD/VFBEEW06x7n2w4LniQMQwaDAUIIPNfDcRzmZlrEaUbVc8jynDBKphyR/edU8UPyA8oBcZISJ6rCrjjK1dG1Fbfm/UbVn7m8xqUzH6/8yA9bW3+O8X7ohD+PiuTg8aWUrK+vc+3aNS5fvszq6ioAb69v4IfKTvRoa+rltTa5lNzY9UmyHN0wON2wefGUhz/ooZc740nEaUbFVYKMb94fkhdyioIBtbD2fKXI+uzpNlFyuKcsSgbxu1tDrm2PEKWlraYZ+FHKN292ma/Zh7wRDn1nTfAnV7bohorwqGnlwDXMeWdrxNnZyhQu6tomg7GvxPA8m71hwJ1eiKVr04ddAJ5lEGaSK/d7nJ+rKNFHqzTsKltzlqGh65pq31gGWZpQ5AVxlpPnktu3b9NydFaXF9EtheLzHLW7PNV0lM94nFEtpUTipCDLCx5bblF3HZI0ozOO+eOrHYZxNs3BVUvnpXMtTkcpG4MI0zSZ9zQem6+qCiaKud+P6Yeqept8r2bFpTcOuLqjFm0h1UC90TCwStIkQNV16HdHoB9UdFb/N3RBmuakaU7dc+n4MVe3RiRpQbti8sxKjT9b75cmZ+pvmlWPpxdcQDIKQt6+P6AfS5oVmyLLiGSG1AT3hxlrs5IvXJo9do3jJFXcGcAyFSFy//5R5+XgPaVpAl3TiJOULIw5VTe55VmMErA0xXmK0pyZmsNS3ZxaJRxtLU0QiZ+/tEicZvT9GEvfl3Gp1+pTnbcgDMjikHev7GLbNq7r4noe9WoF2zIJopi8ZOtPLJ5PCikloyCakg2rrmKyH1WWnsSTa6d48cnzJ/7bRxk/HLZ/gmKy0B+9aT/q44O68G+99RbdbpcXXniBZrMJqBv1zdtbgNpJHw1TF/zkxVleONNkEGa0qzaOqSnlYp1Du/lJ+KGSCe/4yVR+fXo8QyNJcvpBSlCy1aN0f6GZWPi+dbeLlMqfPM9Sily5/vlRzq09n1bpi3Dosxo6URxzc89HFBmm45KXi4yhKfjvvV7IXNVC15R9qizPwTCIVHJAlFpNKhQpUCOPYnK5vzlQKCZJzXPxo4R2xaLtWewGOUaq1IClLsgyScMuaNiKhHd3YxPXNEh0h0GqUXFsTrVdPn+hzTdv9hhGKbkESxdcXqxycd4jK3LSIue7930GUUbN1qdV3zhWyrM/+9QCL6zNM/CDKTFyHMZYhk5aiCnMGiS6qXgMpq4xig8n8iTNSNIM0zCouBZL1TH3uiU821BVZZjmmLridQBUPJvv3Nrh9XsjkkKqmc1uwJxn8KPn22yPEvwkY6bmMeeJQxDt+/0YXWbIXCHH9EwR3fpBxPYw3rcYPhIzFZO6a9P3A6qWGsxLKfGDkIW6PVWuhf122yQajsnLZxu8szVmz88xTIuLMxZPLnqYE52xI1yn6bFsBeCQUuKZGpXpXELNNIQQOI7DbLuhqrRWmzAMCYOA4dYW20Lgui6e6zLbbuLYFr2h/9DnX1NkdeIkmxJ7K46N0AT+gfbw6cVZvvDCU38u8NpHnZEsLX1wDssnIX5gEgmoRf7jkA2YDNuDIODVV1+d8loOMlLv7g7ojVRvNU6Vg+D4hIF51TamC0DFsYijfSjjSTHyI2quRWcUMcFqCiHI0gQJUz5HEE+SiUqoaZYqTaBCxzQN8mz/sxRFgURSyJMfFEODMC2miTnPUoSuK7x+GZM5kG3q+EeSoMwzWp5yNjQLidCUDWqYpBi6YL52eFGTEja6Y0xdY6bu8lOX5/kPb24wivLpezki55lFl9WVBfX9i4Jv3OhwqxuSSYHMhriG4PlTFb7wWJN+LElySbtiUrN1aqVVbj9I2e77eLaBaZlkaaIgz5bGIMwIc4Hw1RB+QoYEJc1hiAIhdDTNUNLvJbktLWHIB9edvXHCtV2fUSLxDDg/V+HycpNrW0PCUm3YMjSeWqoxUzFxbJOtrs/r90fkUlKzdQQFWQE7Qc7GKOOpxSqeY5246Si5f+r65jkgyfMUzVDAgwfFXL3C43Mx372rrAD0OFfv71q8dH5OKWEXxZSPcTRmKhY/cr5FkqkEW6/YyEJtRsZhfOLmzjQ0smyfRHqwSlEzDYMgUhL84yAq0XQ6tWqVWrWqqpUkIQwCBsMh40GfHI16rUqrUUMK/Tj4QAgMTVfVy4GPM7l3dU0lM8+2+Nkf+fRDz9lHFUVRTCWHPkz4vv/D1tajxPvtDCbJ4+NKJJOK5Otf/zorKytcunTp2IDsjVubh36OHkBuOhhpprwwNh5QXk/i8XmPr41jklxZhSILojTHMfRDHhCTZNLp9dnd2UUIwal2lRu743IKOoHkSpDKVKniWPgHdpk112JUDhtPtzze2y51scoBb6HpCKmG/TVXQSePhRA8s9LgK1d38TOBISQFisF/aaF6qJ22NYj4zp0BvUB9hoWmx+fOtvhrz61wbXtEdxSSBSMuLDaYndl3ZXx3a8ytfoohhBIyNC2CDL5zz0dGI1xTp+J56LlH1W1OAQlZoaoMIQuVRDQdTdfJ4hg0jYEf4jWOE1+FEKy2PRqbYwah4qKYxr7r4oVZTy3gUrI1znh9e4+kUHpceV5wtxfy/OkGP/lYm2EKeZaxUNr/ToiH9/r7xmKTO97QBFqWc21rwGfPNQ8Nlg/GasvlzQ3VArUsgzwKyUoNtYWqSdVVs4WD92XFsRkFIWuzHlVH53YnxE9ymq7B2oxH1VBJoFWvHKpEjp0bBJZOOfNS5zlK1AbMcyyKA5sYTVMorQeR/yYzDcdWBm2ObR5DXgkhcGwbx7ZZXVmiP/QJo5AwCOn2+kgk7UadSsVDCgNd16i6Dr3B6IFrSV6oFujP/sincawH62d9lDHpcjzKsP2HieRjiEkp/HHMSaSU3LunZOAvX77MqVOnjr3GjxKub3QO/S7NciXRET44oeR5jiZPlvc4GJcWqozinLc2hsS5RGYJFcvgxy7OTKGXk7i3uUUwHjE3N8vu3h4vrs1wtzPCT4pyUK/QQnNVizMzLuMwol5xGfqKmzI6kBiePlVnYxAqxFO54y3ynKdW25ydqZTgAPUPG4OYu72AQirG/mrL4QuXZnlna0QvLKhYBmdatalfAyjtrT+8ujflXCDgftfnP4xCfubJOU7XNAx/zMzZOaqV/QdHIrndTSDPsA9ATz0DgszAbs8ya2eEYch42GdrewvXUYKEVdvFs3SC0tCqKHKKIieRShjwoAhf11dWvpuDSAkUzlb43Fqb794bsjeMiJIUxzL51GqDtbZFHCcEYcS7XZ0kh7pjKLOt0pTqjfsjfu7peeZrGmBT8+wScSVIs2wqz3E0NKE8cZIkIy11wCzLLLXB1N9cnFdQ7j0/ZZzEpInEtuDSQoXZqsU4iJBIPMdW7cgsL5ODWljnqzbzJ5i2ebZFb6QcLiuO8rH3wwiOtKvqFffQvQNqx+2HMWmW4zom5eTuoUkJQDc0NVCP1fNsWxaWqaqUg+hJz1HfSzd0qtWqWlwlxElMGIRs7XbI0pRmzWM8spBox7TuJmHoOn/5x56jUfVOfsHHEJPv8sOK5BMSCmP+0Q/csyzjzTffZDAYADxQsOzt9e1Di0CU5ryzOWJjoHDo5+cqPDZfObabdE1BZxxjvs+GRBPw4pkGz59ucnt3iK4pCZeJgiiom3J7e5skSVhaWsKzLYa9PVwt5y88Mc+rdwdsD2N0XeOxeY/nTjenWlmjIKLm2vhxrFRVc8lC3abuGPzMU4tc2VKLqWVouNmIF1arQIFnq2rmW7d6vLs1mp6DdzdHnGo6/MTFGf7iU0v4UYxAlF7rGmG5G726MyZKi6k1qa4bmCLFjzNev73LKSdleXmJmVZjylCG/Z30Uf0iVawVDIOYywszGDNtgigmThJ832c8HhPt7bFsG1yLYBip5JpJiaHpPD5XoVGx0TWdu50hv//e3tS9MckLXr83oBtm/NRjbQZhSpJLWp6JbWikScKo10F3KgRZRMVRToyTcAyNIM3ZGcUlCkwNfz3bKjdCJrNV5eeR5sWUvS9R5kxnZyvTwXCS5iRpjqYJqp5LVPJ8vnB5lrv9mM1ewHiYcOlUg9WZyrSKEwjCKME0lG1txbMJw+REDgqoakBdOxWTlpph6LiWRZAk5FlB1VOV6Ulr9KS1FYQxtYpHGMdUPZckTQ/5xk9CCIGpG1PiJ0CcpsRpOkV85UVBnhcKYHLsAGDbNrZt02w18WyTnU6PMAjIMyVyurOzg+u4uJ477WD89EvPsDTbOvE8fFwxgf5+2FnMDxPJI8YHOdEftUyK7/u8+uqr2LbNSy+9xFe+8hXyPMc0D5e9UkrevLU1/TlIMv6/r28xCJW/t6YZ3OkGrHcDvnh5fspo1zXBuDR4SrIMQ9fJ3icRNhydT602GYWHd3RpmrK5uYlhGMwsLHGrl5CkAVqQcdbQWag7fPlJhyxXiJWjC7CUkvXOmN97Zws/UVpVli54eqXOp1ebPH+mOX3ttWtDHEMvCZCSXiR5d2uEJgSOrSHKmcHdfsiNvZAnl/TpQhYnir1d85SHx944RdNUNakbBnla+lgXBb0g5bPnVzBNg5EfYpkGpqGTlQPZmarF5iDGNvY3mVmhXASbrkGSpkipdu4bw5Qb3YKicFio1Xh8TlB1xtzoRoyTnNmqzbmWxcU5t2z9pFzbDQlzjYrFFLEmdJN7HZ97bYczM/s71/F4zO7uLrOzs7iWh7HZIc+z6cAZJHLampflhkdQrziMS1VlgDOzVS4MUq5sKnKgJtS5bFRcLs4eb7cVhVSKA0DFtdF0NdM527S5fXvAYt06NugWgmlrKU5SEIKqZ5NlxaG216TddlK1nGU5o0y9b6NaIc0UJJiTntPy9/WqN3XHHAUhSPWZ9yscFa6zL3t//FAq+eqahmUaVEyTIE4e+Nx4tq0SV1mthEHA3t4ejapFnsbsbPUppOBHnr3EXM1+JAHF7yUehUMCP0RtfazxUcqk7Ozs8MYbb7C6uspjjz023TWcREpc3+4xOLBbfu3ugEGYYpQLpBCSHMHN3YA7CwFn22oBci2NYSzL4ypvc1FKblzZGXNr1yeXqvf9+FKNpmspz3Yh1OC4TCZhGLK1tUWtVqNXOPzeq1vEZcIoUklX2+YLTyyRpMpJ78QQGr/9+j2irMA1dHTHIoxiXr07oOYYPDa/v/uplLtU5QUjeG+jq9jNjonMcyQSQxMkGdzqhFyeP9wqEAjVjtA1WlWHnWGErttqcC0lSSkSONesYZr7t1+SZuR5jmtZYOo8sVRjb5wwjnPsUnE2Kf0+lpsOnqOIml+70eXGrg+agURyY89nueHwkxcXeOqcwNRgZ69LEASsr69j2zae53GnE6BLiWFYpYUrU8DCrp9ME0m/r9RvFxYW8DyPimdTN3fZ83OcqovMVetsUnkt1B21s3YsBuNgv1oQqlp4brlC2zW43YsJopjVmSpnmyVf5wEhS6Xd0TjEsa1yUHwSWkriOjbBwYW6HHRLFBPc0DTCOEHTBGny8I2ZaRqMgpC8KMr2k162nw6DMjzHOmaxjNgfdBu6jmcrTa/B0dcdCSGEgvnGCSGlVbPrIJGHEpBlGsQlIGX/26skWm80AajnOecWWlw+1eadd94hz3NarRbtdpuZmZkpR+njikeB/kop8X3/Y3NH/LjiByaRfBStLSkl169f5/bt2zz11FOHIHYPOv4bt7cO/XyzJMVNdplSSgxDJyly7nRCzrY9VY34h18XxgnVisf/9ObmVEsKlPT6tZ0Rf+O5pemObxREVF2He1s7dLtdZmdnkabLV1/dJCsKPNOgyBIiVJup5Vm8dGF+Ohg+GIau8d3bHeKsmBpkyTzFK4203t0aTxOJYxlESXpol5rnyhCqyFJ0w1QwYQG6YZI8BHCQ5wVnmia39pTJliUK0pIo6Jg65w8kr7yQvLs15nYvYhzELDZsXlyb48cvzvLqHcWv0ITg4nyVT682aFc9hkHI3V7Ijb0AU9ewjBLVpNlsjBKu7Yx5cW2OcRDSardotVvkWU4QBgR+gMxSkhQMUWCaFkIolWIZpZiamjXt7e0RBAErKytYlqWsjIOIF860+ONrHXqjQGEcDAvbErxwpollGAp5FUYYujFl1kskslyAz7ZMzrUtapU5NARBlD6w/QQK2j2ZT0zaXLqmNhxpLqd/W/XcKWv7aIgDf1txbIVULAqyBwBBdF1haSfHnrSfNCGoeI5qPcUJlmkQJRkPmzxkeU6ByWgcqMpKaPhhdKxtpQze9gf6oJLD5GfT0HEtkyjJys8mj/39we7GmaU5fv4nX0QvZ4e+79PpdNjZ2eHatWu4rsvMzAztdptms/mhF/33i0dJJKDgv5735zfL+SjiE5FIPmhr63tJJGma8sYbb+D7Pi+99NKxjH/S8YMo4c5O732PrYhe+9WAa6pqBPYRG1JK3rrb5f4gwdD2209SQj/M+c7NDp8p7XellNxcv0ORxiwvLeO4Dq/c6ZMVEzvSQkFXBeTAla0RTy7VaFRdhsH+oFRKiaULxpHaeR48zUWmEFHjZF8IMM+L8kX7D+hiw+HqjjIgIkvRNB2EThYFrCw0jp0LBTve99R48UzBt27s4RcCgRp4f+ZMc0p2lBL+9HqXW70EmSuo7o3dgPu9u3zpiTn+1mfPsDcM0YWSsq849hQEcK8XUUg5VSlWrncZ5AUbo5wkTQ4NX3VDp1arUavVeCIf8p07fQo00iQmzwtSKTBNg7VZj62tLbIsY2VlBcMwsEydJFPtzLmaxZefnOPWXsAwyqhYOudmPE7N1iiKsoUkFCRaLwHGUqpEIlGKx5ahMxornoWmadQ8hyRXDo4Hw3OtE2G5WV4wDhWxsurZyud9fPIcY3ptpKRW8Q4NzSuuDVLZ9B58Di1DtZWORjGB8kqoeg7h+MFIqel3cCz80mlyMog3dA3XtohLPg5AozK5f0+ONMvJshzXtkCAZdpTwuXk+00+S7Pq8Zd+5LkpzFcIMW2BnTlzhizL6PV6dDod3nvvPdI0PVStfBQL+aNwSIAfViQfZ3wvMimj0YhXX32VSqXCyy+/fGwOAicnkvt7fSwNDj5O52Y93rw/PHTT5oVqkJ9uu+Vs5LC670T24k4vpMhSHMeettGEBjJNudWRfOZsizzL2NraopCSpcVFmo0a41C5zE0+Z5EmBxjwivgmhBJwrDg2QZIqkqJnM/JDGqVC7URaBEpF1jxn0bGouerzjMO4RG9NH03OtF2l5zSK91t5WcxM3eOp5fr0O+ZS8vbGiPe2x0Rprnzpz80wq0e8MJsj3Qae63JhoU56oJLZGcXc6SfoMsWaINQk+EnOa3cHzFVtqraO59jESUaYxOxPI+Qx6Rh1viFJE9Isp+Y6ROlxhvPlxRq7fsr9fkxaKFqdrsP5mmR3Yx3TMJhpNUnSFNNQ/ibJAT+Mqm3w9Er90DH9MMHQBbZpQDkbmNwjQghEqao7nWFN4doFg3GgGPiei0CRVR3HmioCHIxD7Rwpy1mKMifTNPHAGUTtBOTV5LW2ZWKZJkEU4dr2oargpFDKyDnjKMY0FI8nTXOi9PDntU2TOEmPXaYsLxRkWyqkmWUa9McPV8WWUqqq68Bn00sIcpLljMpn0jYNfv7HP4PrPNhTxDAM5ubmmJubUwZtQUCn02Fvb4/r16/jOM60Wmm1Wo+UEB5lRpKmKXE59/lBih+YRPKoFcnW1hZvvvkmZ8+e5cKFCw/cPZ2kALy+3WXkh9iOQ5KpR+HZ1Qbr3YBhmJWsXhVrs7byYjeYViOTmAoslj8XeQaarhwRUbwRAcRxzObmJo7jsDw/j9CUAVbVc5ipWiAEWZJwcJaeSw4RAP1IyZLomjZl867NVXhzY8gwykqLUsXA1jXBU8v10pGxwDR0QJTEN7VA6QK+eHmOd7fH3Nz1lT5VzeOJpRoVS+kajYKIb97q8t6Wr3bhQtAJcn779bs80RI8f2G5nLlAkiTYlomhaQRxwl6QkWUp3kFom1BKAdvDuGxfFIz9CNcxMQ2rXEgES3WHazs+WV5M50N5UYCmc6phIeXEc51jCUXX4GefXuL69pCdUazUkasGQX8X265SrVbwg5AkGuAbGoXQcT0Pz/MeyGWaSK1MxDhdy8QwDKWrVaoA7M8A0unipKqVopSomSyuFoYmiIt8KkQ4jX15A0zTKCsgphWEaeg4lpqDTVpTnmOfKP45iThVbPC65yBRieVBXBApJa6nqgGlDsChpKDrSupdEyBlcawFdSiE0mkbjANlf+vYpFmm2ldHQkGQD3+HvNhPSJaho3mOUvNtfPCFWAgx9bI/ffo0WZbR7/fpdDpcvXqVJEloNpvTxOJ53gfqojyqzhbww4rk44oPm0iklFy9epW7d+/yqU99ivn5+fc9/tFh+53tLgDmgaqkYhn8lWeXeWdjyN1eiKlrnJ+vcHG+im0INTA/EpNEcrqt7FOzvFB9eCHIUlWaL9cN7t+7R6vdptVsHupDjYOIZ1YavHWvT3ecTuVUkgJsQ5EDD0YUJ1RsE9cy8WNlafoXHp/n6ze77IxiZKGsfp8/3eTsjKcWnLxA05T8xttbY5IioObonJ+t4Fo6z56q86OPzU9RRKDmIOMgIing+l6kvLQNDYQgTWJiCXdDk88eqQDjJCUGqp6NbYQglV3rwUezKOVPtLJC8rx95WHHMjAMg9PtgpWmy/1+CJlKxugGbVvNU/bvhQMJxXOm/JCRr7zglxsOUaRADfV6g3a7BQgqlSo1z6bTGxDHEXkSc6/TwTBNvDKpOLYDQolKHiVvRmkGaYZpajiWgx+GeM7x3b6qVvaTikJCaQz9CE0TeI5FFCfkhdpxT5ZlfQISOHLfpllOmimvjoqr0GAntamORrX0+JiQilzHwtD3GeyTOLigH5pLCDF9H0MTVF2XMH34+yr0mIL55oWcJoXJe/thRFEiwCaeOSeGUB4tz64tc3rxuO7YhwnDMJidnVWzSalEJjudDp1Ohxs3bmBZ1qFq5UEbi0d1RwR+iNp6lPio4b9JkvD6668TRREvvfTSByoTjyaqoR/RKw2oRn6I63nEZXvJNXWeP9Pi+TNHcOl5RsU2jkmnTBLJ2RmPszMetzsBWax8smVe0HA0ZvBZWFx84A1k6YK/8uwSf3x1l/VOQCElTQteOt9isXGYaFbzHJXQ5KSdEdOqWPzsUwsMo4yskKUzHtimMW1vbPQjfv92TCZyJeonJW/eH/Glx+dYbVcOJZGDcbfjk5ayMXmWkWdq8bBLQ6hRlE/bawdDQ7BQ0bFtizhNcUrSYl4oVeNzC5WpUORBnkmUZJBk1Fybv/jMEm/c7bHeCdF0nYWKzqWF6r5D44GQkrIFZJY7WGUfrOC9O8zMzFKv77erKq6loMm2jVXK5TTbM1Dk7PUHbG0pIMZsq8l4NMLzPLQTFo40K0izkJrrIASYuk76kE1Rveox8iMMw1BVSpSoto5jK3h0rK6XZehT/sVJIZFThJZjKvXfk4bcQCmQmOwv1EKUEPBUtY9c1Vq0S7j25HVHNwDqPEsc26Ff6pntJ6TDplJa6ckSHx34H3hvTQgaFZs0K058r4Px5NklLq0+fMP4YUMIMd00rK6ukuf5tFq5fv06URQdqlYOWuQ+qmCj67of+eD/445PRCKB/cX2QfFBE8lwOOTVV1+lXq/z8ssvf2BJlaOJ5M5O99Bn03kwqkaFJIoj8lzi2Nah0nzy3TQh+OLjc1zf8bnTjYijkDnPYsZMWV05NW3/HA0NQRTHaDLny08ukGSSMEnZvHeHpSNifYausd0b8d6WcuWrOQZPn2pRsQ2SLKd+AGZac63pAl0UBX9ybY8kB1NTi5NuWozjlK/e6PLX68d5DpOw9LJCilXLSdMMoCDLJRpgGccff7X7DajaBs+vVPj2ep+wEBSZUuydqyp/8oke00kxIbU9f6bNZ85phEegqSd+VlMnStJSRkaSxSH9boeFhcVDA1bb1JXS7NFFWtNA05ibm+Ps6imCIKTT6+EPR+zs7uKU8GLP89T1LP/+qKqAkkuXRMnhHXu94h5KmkIIdKEWlTDJyIuc8WBAq6ZkTYR2YAZT/jcNqTYKQZxMW3pqyG0TxwlJvv+7oihKifjjMWkfTQy2qp5TtuuAE7S2Dg3NDyUk5RMy8XV3rcPyPSeFrqkBfZrlOJaBbZgESUJ2xL/93PIcT59qk2XvL130vYSu68zMzDAzMwOoCqLb7dLpdLh58yamaU7/PcuyR2pt/aD5tcMnKJG8XxiGQRw/3Hd5Y2ODt99+m7W1NdbW1j7UxTg6I5m0tSYxDiIqlQphcvJOsmIbjMfq4cmzTBldFft98UnbTBOCiwtVnlr0uH7zFrpucP7c2nSYflJUXZNBOYiME7VDbNdctrXjyXdnlPDvX71PfMCz4a37Q376yUXOLzamEGHL0A8MZSXbw5hhlOGYOnp53CLLMDSNvVHM2zfustiqUPEqx5LzctPBNcBPwdZyhAYInVTmnGs7U+HJSUz4CJP95aWFKvM1i9udkFzCUquiKhXTIM9yHrK/ACBKEgxNw7VN8kKeOKCenHuB4vVIKens7eH7PouLi8y0mqRZTpxmaOXi/KCFFdSuO4oTNENjdWVJoaiCkCAICHyfXq+Hrut4nkezUcM/UgdMuB2ebaHrOuMwxLMPV14nvefOzg6OaVBrzWBbJk4ppZLlhYIaw5RfUq+4+54hZaghdwhIKo6jrrMsTpxJHAzT0EnSbLqAG7qO51jsTZy5ylCougkD5HDkhWToq9ZVo+opjTeh2pgnhRDqfSYbhjjJiBO10VAtO4kfxcw2avzFzz/L3fX1P1fCITDdNJw6dYo8zxkMBtMWWBAEUxb+zMwM1Wr1fdekH0QyIvwAJZKHzUiKouDKlStsbGzw7LPPMjc390jHnyz2UspjsF8hBLLISiLv8ZtBHvhsaZbhuTZBvC/adnDBL9KY927fplarMzs7Q5SkVNzS46Q89NYg4t2tEcMwp+EInlisMlcO1fOiIAwjPMs8dFzXMvndP7tDnCmY8KQSirKCP766y1zVpFn1GIVquJwUkslQPckPDnVLNrqu+vBRnFCtVhiPx3T2OopT4Xl4FQ/bsul3uzzZLHi7rxOmkCY5kDNTsfipxxfRKPZRaqgF/Wjl0PIsWt5+ReZYyh2wW9rlPiiklHi24h4kmRJVrHgORV4QHlgcpZSKOxNGyFJuJp3Ae01TzS2kpOo5aJp2nGB3JARqcQ3jhHGmkkK96tGoeozDGkhJGEVEYcDOzh5RkuA6Dl5F2Q2bhhJunHrEuzaGpikU3wl7iizP2NrcwnMtmq2Zkgei2l5oGg1PebFEcVqim2wllc8DqhUE4zBS7chUUi/RUCclT02oaxYfqAKyPGfoh2RZTqtuUXEs0qIov8/DF8tqxZ1ujDRNtS4nigYH+VlVxzkRPSZhypavV1x+7sefxzbNP3fm+tHQdZ12u0273eaxxx7jzTffJM9zhsMh6+vrh6qZVqt1Inp0kkh+WJE8YjxqayuOY1577TWyLOPll19+ZPz3wUTVHfonQijDKKHieQRHqhJT1/BD/9DvlPaQyyhMD323wWCA3+uUFrL7/Xg/jKbJ5OrOeOqYKDSNzX7K9Z0xX7g8x9mScS1Rsu2LtkGBetDvdsYMoxRT39f3UdpGytd8b6z65Q3PJU7VgjP5b65mYxkaaV5gH+BlBHGCa2rMN6tU3TaykHT6A4IgYHNzE1kOgB8/Pc9jZ0zu9CKCJKflmay2XMhThK5R9xyGgVq43m+RBrAMg944oOJYSMQhbaaDUa84h5E8QkzRRPvto1RxbPxwCq8WmsbK8vLhmUa52A5K4hxSoeBOeqirnnNoZiTKaw7K18M0dDRNY7bdVMKGSUIQBPjjMZ29PcwDA3vXc5VXRxijaRrVik2UpKSpus8mEjnVisfs3Ozx9p2UUz5FxXOwDJ3BOEArB/OTazy5pqL8rqqNtm+NMDGEyouDi7rEte2HypqESYoVp1imge2Wn/0BREfPtvAPnLcJdBnURsgsZ3aVI+f3pNA1jZ/53LM0q2oH/3Gpgz9qCCFotVqcOXNGQbzLauXWrVu8/fbb1Ov16WylVqspOZk/54rk9u3b/KN/9I/4wz/8Q7a2tlheXuZv/+2/zd//+3//ga32k+KTc9bfJ06SSOn3+7z66qu0222efPLJ7+kmOphI1o+0tQ5GnqVIeXh35xiHuSaT2OqOuDfMWN/LmUtCFvyAIgmZmZ09UZ7BDyNM0+IbN7vKMdFSDHYMQZxJvn6jy+m2OxWHFEIwDCLmZxUcMU7Hqqo4ctzJ4DwrJKauM/QDiqKg6jolmkngmjrPrNR55U6fMM3RgELT0JB8erWBoStUDBKW5mcZjAI24g2EKZhp1Nja2SNNU+quy2Ldo1KxpnyJPC8Y+iH1ivOBkHeubU5Jh0GcTKuMvEwK+687maxXnhzVxivbKHGakSYJm1tbOLbN3Pz8sQRRcfZ9vidJwbMtNE1jfIATUnOdE/3AJzHRuapVXJBqwROWhWVZNJvNsqJUbbCt7W0cy0DT9xPLaMpUdwiDiFv379Go1VlanJ8aNp34laHkAynui+uYhHFKmmYUk2QiJQVKCmcwGjOpPiebncn5dG0LU9eZiE8+LJRgp3IzpMw3lRJYMD6gJGyWfusP2i5GSUqUpEoSpSjwHPsYUfJgfOHFp1g54Lf+/a5IjsZBQqKmabRaLVqtFhcuXCCKoulsZX19nTzP+c3f/E2Wlpb+XBPJe++9R1EU/MZv/AYXLlzgrbfe4hd/8RfxfZ9//s//+Qc+zg9MIjna2rp79y7vvfcejz32GGfOnPmeS0Fd16czmLsPYbNHSUq14uHHk88iD2sblXGvF/K77+yQ5ICmcaM/xjMEf/P5FRzzwZ/15s6AOJcYuih7HOVDqMM4UVXFhDcyefjzPCfPMlbbFWxTJ05zbG1C7pOkeYFj6sxWLUxDI45zJDAMQhzLRAiNOE15ZqWOZ+m8uzXCT6FmSp5canJ29kCVJ2Cv22d3Z5t2q0mr1SZJM1YrNdI0VTOCktw1bYF5nuJlhBF5XuC5TskAP74o6ppGlmccSocHqoya5xJnGXkuyfIT1GGPxARCOhr7DHpdZloNKtX6sSG6Zao21dErM6mEJlVGXhSMwuh9mjdqIR2Og+kirWDHGWmWoWsa1UpF/XfmNHu9PkFp4rSzuzvVAxsMdbqdDvPzs5xaWqQ39B/6nlpZbRSFpCBn5Kt7tOq5FLKY3qf2hHuCOF6tlOclihMMzyGMVGWdpCnxCderKJQ68FEzLv+grIltESZKtSB9iBQMgGNb+NE+3Ni2TGzLJIxjsgNzv+cvn+Op86vHPssnKZE8jJDoOA7Ly8ssLy9TFAV37txhfn6e3/u932N9fZ2XXnqJL3/5y/zMz/wML7zwwsf2vb785S/z5S9/efrz2toaV65c4V/+y3/5P99EkmUZRVHwzjvvsLOzw3PPPTdFT3yvMRm2F0VxaD6S5gXr3YAoVYKBczWbJEmY2BlWLIPxkQFplkv+4MoucV5gagIpc6SmERaC3313i5975uE2mjLP0CzzkMf2STEZ4mtAlKm5xI9cnOcP3t4kSvOpzawmBJ8506RVdRiNg33svxCqpUEJGQ5iHpuv8MRSnazITxSx9Mc+O7s7tFttvFodyzQQJYbfNE0ajQaNRoOiKKZJZWtrC9vU0U2LilcOWTVBzXOJ4pQ0359NOZZxzJHxwBdmFCp5jmbNe2C75cCZxDINdjpddnd2aM/M4FXreK6tWjLlUF5pGp8s2jmJOEnJ8wLT0Ki59jFuxcGY7M4P9vvVrl5ScV11bqJYtceCcGri1G61yEqnzuFwSByrVhd5zt2NbWq1quJmJMmJGlmOY524qZks6o5tYRoGSZaiadp0djdx8oN9D41JtSflvgKx5ygpFj/YhxBPrAY87+SlZMJpqThq82O6NuMw4SRJAsPQppbak0gOSKhUXHWM+VadH/305WN//0lMJB8EtaVpGmfPnuVXf/VX+Wf/7J/x+uuv81f+yl/hd37nd/jN3/zNKdP+zysGgwHtdvv9X3ggPjGJ5IO4JGZZxre+9S2klLz88ssfqXrnZNi+1RtNb9z7fVVVTBBVQsCZtseXHp+jVa8xjjNkcXyxv9cPCZMCo1zoBaBrBiKXbA1ixlFG1Tn51C/WHSXjHsXYpqa4JrIgzSV1x2C2ut+3FELgOeah3eBa06Ty7Aqv3unSC1KarsmTy3VFPDxojXrgfKvqJMKxTOW9rgmSozbCslTC7fdYmF/Aq3jUXHuKAKp7HuMo2UenadpU26jm2ex2+wS+T7fXI93ZwXUcBp5HparsU/0wouq6H2h+Uqs49Ec+IKhVnAf25Kuuy72NTXq9HvMLC1TK+VkwmSeUUjV6WbU8PESJNkuYcis8m+CI34emafttpBOOMXmfmucixARhtf9aQ9eRUpImCQsLC9Q8h91OjyAYKsSW4+BVPOZn2hiGOW391Lzj8idHI44VBHfC+UkyhYI6xLCXEl1TKtUHOwATOXghhIIQOzaykNyLE2zv4a2Yo59tgviKkn3PEgHHfEqOhh/GtOtVvvy5Z09MGD+oieRg+L7P3Nwcv/ALv8Av/MIvHBOi/Ljj+vXr/Nqv/dqHqkbgE5RI3i/G4zFpmlKtVnniiSc+1AW6sj3m99/dISskn1tr85kzzWMXZ9I6u1vOR6I05z++vUOc5QpNI1TL4HYn4NvrfX7soolpmPjh8Yc3zhQmX5MSrVQelXmGQJBL5TX+oDB1wRefWOA/vH5XtRKEQGgGpg6fPz9zyDxLExDHCYZxeCi2UNH5S08vKu2kOJnu9Efj4FgSORhRklJ1rNKDfR8gIKVkd3eXMAxZWV7BspUS7j4xTTAMQvRSfPBgT33CA3EcB8dxaM/MkKUp/qQF1u2yaZrMNOuIogbywZ8PwLWsAxBZOf0MqrqJp9WN51jcunMX3/dZWl7GsQ/zbQRMq4IsL6i4tvIPf8B71yqHh795UTDyo2NtK8cyT/RcPxiaUB41SZpN5Uz8Us6k1+0yHA5ZWlqiUa+SpDmzs4qpfbB1+F7nOoZh0GrUabUaDP2Ho9um3yHY9wyRUp0nXdOnMyChCWzTIoxjDMM4sVo5+H/H1Kl6NsWRhDgJNYc7/IxMEF+g3l8gynnKw8+bbZn85R9/Xok2nhD/c0kkBwnUj5pEfuVXfoV/8k/+yUNf8+6773L58n5ld//+fb785S/zN/7G3+AXf/EXP9T7feITiZSSO3fucOXKFQCefPLJD3yzSCn5v37lJv/DV9env/vNr67zpcfn+Cd/9cmpgyDsJ5LJoP3mnk+SKQ2nyaXUNAVbfXdzxGfPtmjZ5rEhe1EUaNEADYkU2rS9BJAmsYKInsDy3v/QcKZp8XPPLPLe1phBmNKqWHxmbQ7nyD3p2SbpA4avWZaTZhk1zyXJsvdNIkDpVaH0rSzDwDB0RkHI9tY2UkpOrZxCN3Ql2Jflx46liGtq7qIJTUnSF8Wx5cU40gKLw5Aoiti5fQddCFrNOmjGMaa42innHFuwpNz3cnEd4jTl9vod4jhhZWUF8wEgDOfIsF61fvRSimX/PQ7OO47GwbZVs1Z5oD7Vwde77j4KatL6AQhHA6IwYLlMfGo2vv85jrYOwzAkS2Nu3r6DLApazTqGaWPZzjHgSXUCEDg8eppWAIaul9dNATgm3/VotaJ2yOqcp1mm4M9BTK1q4DkucZKSlOjKiQPjwyKIEuqe+/9r773j5Drrc/Hn9DJle1OvlqyulWRbxhjLGHdZwhAM8QXjcC/lF3PTSIAUAgkEEnKBS5xQAyYBbgi2XLAxNi6yccFYq1W1urRqW2d3p51zZk57f3+855yd2Z2yVbtrz/P5+GN7d/bMO2dm3uf9tueBlslS4Uc733d+aK0MbrtmI2qixVUqxqu2O1UYz3o0TRtzWqkQ/uzP/gwf/vCHSz5myZIlwX93dnZi27ZtuPrqq/Hd7353zM83Y4ik0JfUcRwcPnwY/f392LhxI9ra2sZ06vhdxyC+99JZEEIgeMqrjgv8+kgvNrfV4PevGPJn913lOvtpQVM3HS/1MGydoHUT2yXIGAYUkQ/mFUzTQnd3F1Sex6qWKN7oTgeKsa7n5dA6R0WVSr1ACiHsGVw1RqQ8MUYCBxFVRcrTmxI8F8NiLXq07RNIpHREVBGiKBRtyfShSDxSuvdabBtpXUdiMAZREFBX3xBMUftWuMVAu7sIqiIqjOEpsmFgWRaN9bVI6RlU19Yim81C1zRYZgrJ+CAIyyEUCkFVFNRURUunoAhBPJXGQKwXAs+jeeGC4j7pLEtl83Pgd1sJPA9J5JE2slTmpUgLcC5CshwUw4NaQkHvc3XEvXNdF729vbAsC83NzaiKhCFyHAbTWtHnZVkW0UgYLBdFtKoGptdenBqMA8SBJElgOAGhUAhV0YgXcRRfv+04YBhqUKWqEhjCQMsMrX+oEE+FGdO6gXg8DkKoARatZVDBwbAqB2rJpVr6/Xvld+j5hKxKEjje09ny3r93tF6ORS2l58NmYkQy1vVMls2ur2w8Gly8eBHbtm3Dpk2b8MMf/nBc93DGEMlwGIaB9vZ2sCyLrVu3BhvmWHrFnzjYE5CI/4XkOSBrEzyyvzOPSPwaichzMBwXdSGqHpsrvQ7Qk1lUESDzLDIZAzzHg+cFJNNpdHf3IBqNoK6uDi0EqFIFHO5MIZ2lQ4VbltRjaX0IKU2nnV/DyYQMmQ8NBwNQYyBVhpG1g1mPQl9UAgRqshFVRlrPgPVSMCk9UzAqCclinoaSYRjo6e5GNBpFfX09PZXrtGjqn/5LQVUkxJN0I4yEFOiZwt7hYUWiJ2DvNfqFZwCwbRu2ZSJjGOiP9aK7p8dzKVQhy/KITda0LCQHYnDBoKqmDq5LX3/GsvMiN0IIVeotkkqxbJqmEnkOkiBQnacSG6LAczBMM7glhtf9Jwg8ZEFAWs+CgA5EprxN04fjOIFm15w5c8BxVFkgntYgCwJEiUdao3+fDwJJFD2SAyRJhCSJqKmphuM40HUDlplFfCCGWG8PRFmmMyuKGnh05EKRpCB1pweHFR6yJMDIDkmSRFQFSU1HLNaPTMbA3LlzvBQYHW4lhEDTM5AlEbZlI6RIMG2n4CFGFHhkzeEDjF7Ld5amAMOqjCVzG7FxxaKi99/HTCISv5tyPBHJpVT+vXjxIq677josXLgQ//zP/4y+vr7gd83NzaO+zowkkv7+fuzbtw8tLS1YuXJl8OGg5kujVwBOZSy4RSbRE0Z+SojjODAguOLyRXhh3wksqFVRHxYRS5tB2t5x6Ye7dUE1FJFD2mRgOTay6SS6YoNoqG9ANBrx1gqsn1eF9fOqoCfjSKTSaK4fKkqmC5CJH42UgqZnEFIkZC2z4BBnLonwPEv1okDlPlKaAVWRYDlu3hebBUMtcL37lEwm0R+Lob6hAZFIhP6tbiAkiWDo+HvJNbIMC9MbcAOo6CXL0qHEVE7Hj8DR9RW7Gs9Tld+qqiowINA0HQPxBHp6e71JdSVoL7YsC4P9MYiyjMbaOm+JxDv9UxL1TZSqcvzFi4EQAlEQgpRWRJVhmNbIbimGtixbBYZlLY/AWJZFRFGCllsftm2jq6sLPM+jqakJLMvmzbIEroQsi7CqIJOjmRVVVe8kPxIcxyESCQMkAlnkkUilQBybthf39kKSKKmEQioEQYQo8IEFct76PUIFGM88i8VgkvrXW5aJOXPmBIc6zov4XdelZON1ByY1qu6sKjK1NvBSXZxnZ1BKYt71DkLXbVo1qlrBTCISv440HvXfS+mO+Otf/xonT57EyZMnMW/evLzflYsmczEz7jqGZiLOnDmDvXv3YsWKFVi1alXeB2OsUvLr51d7Wj5DN4T6gjC4YmF13mP9a29YNg8RVQbHMrhtbTOWNoS8tQFhicO1y+uwsjkCxjt99fb2oqunF5ctmk+/vMMg8twI+1ofaU1HSPJkEkpEI8NBiAvbtqHK4gjPap9EGIZBSJZGRAG6kYVjW4goUuBrEVZFukERgv7+fgwMDKC5paWAiyRVj414m0IxhGRhxIbrunQokedYhL3nFni+pMUsgEDSPJO1wPICFs6fi5WXLcOclhYIoohEIoGOs2fR3d0FXhCKnOYooZgWnXAvV8cAPJ0qLwXlt8DaloOwIlHjKg+00F76fXNdF6ZlwTQthBUJsijANE1cvHgRkiShubkZLMsGkivDt0zXdZFK67C8E340pCCeLj1TAiDoaJMkGbIaRmPzHKxcvhzNDXXIZDK4cOEizp8/h/5YDMlUuoS2GK2HJNMaBvpjEDkG8+bNK5gZiIZpWzbHcfQgwHFgPb2stE4JUpVFyKKAjNcIUgxhRcL2t28CP8rN+M1AJOl0+pJGJH5nWKF/xoIZE5HYto39+/cjHo/jiiuuQFVV1YjHjNUl8c4NLfh/r19AZzwDwPX3JIQkHh++emHeY30i4TkOV69egqdefwOqyOHGVY3IWA5M20VI4oNpbd0wcPHiRRBCMH/efNgOQSQijpCQl7ziNCmyYaZ1g05Ao7CXyXDIkkANqxgGRiZLxesYUBvXoBjKQBJ5pNKFT92uS6OEkCIBDIOkpoO4BD29vbBME3PnzIEwrPZC/Tv8XLbhzYHItIMqZ+cLTtRFTpCWl+aoCisw7TIkAtAWYy968CfOCYDa6iiqomF098Zg9vejrqYamkE3R57nvEglBEUZSoGxLAvdyML0mhBsxy1Y2JUEvsjEPAnEFkOKDJFnMZDUApHHoq/Bv0+gYo2ZTAYD/X1oqq+FpIY92RJmVAN7tm1DtxwqJyLS9t9CX3q/lTo/aQSYtgNOkDB/7lxIIg9d12l7cSIJ23FG6IH59822HVy82AmGYVDX3OzJqchwXQIt46kjSCLSWn66kKoXD83TENCmlWRahyKJ4DgWumFSifgcxQaOZbH92k0Iq6Ofn5hJROIfeMdTI6mINk4AiUQClmVh69atkIa1avoYa0QSVQT8x4db8X+fO41fe+2/8m/BvQAAhOdJREFUW5fU4n9vW4KlDflvlj+QSAjBqkXNeP1oBwY8PxJZ4PL8LWwzi3Mdp6EoChobG8Ey9MOSSmtQFJUaGnnQjAyYYaKNw5FM64iGZDAsA1JGBp1lEKSWGJZFSjdQVV0NwrDI2jSdREA7sMqN66X1DEKKCEUUcOLUGbAch7lz54701Ai6h4a2JaqRZARujHrWBMcyyJrF/TF8iDyPZNqAS1yEFBlukWhMzUnz5ILx1t4fi8E2s1i5fClMx0Wkiq7Llx/p6+uF67pQFBWqqqCxrhYZk7ZhU0IgCMkSCJigoO4fNkq9XwwAx7GRyDjUydDz2iiEoFvKexW6rqOnpwe1tbWQ1TAEgdZhwGDEYOuI52WZ4L3wHQ1ZlkFYVZA1bZiehLrsEUypd8F2HCisCMKwWLhgHohLEE+mCuqB1VRHcbGreygFx1BDLZ9sZUGAIHCeM2SJ+8ZQLa+0kYHA09qTr/EVkkVYjgMjQ/XgbrhiNZpqRx4mS2GmEQnLsqNKyfkghMxKv3ZgBhFJfX19IFxWDOOx222KyviHnavwxTsuD4btil0boG8my7J429ql+MUrB0c8LpVKITnQi+rqalRXVwcbBP1j2uLLczxslyAki0h7nTelNqaQIiKZ1iGLAhzv9FcIudEI4GlouS4yWVoviYZUJPUMwooU2OyWQkSV0T8YR3d3N6qromhsbBxpMgQgGpaRLBLdZE1fbZZqgJUbigMIOI6BadEUI40w6N/bjhPIcHAsC9O0Cm6GrpdSNE0TixfOh2m7OdPqJkIhmv8npN7rZtLgmBm8cfR4ID+ihqhfiO7VkBRJ9JoqmLJzIAwztKFnPK8NgedoO3FOhCAJtKDvf0ZS6RT6+vrQ0NCASJhuFpblQBIFaHoWkZCMrOkUrFcQQhAqIJ7oEzrxZOEZhk6Dl0tNKLIYRJj+ZyUUUlBXUwUjYyJrWTAMA8TO4szZc2DAQBAEaGkNqqrmpWyylg2GZWBaNsKqAsd1oBsjO90kgZpn+fcjz2vFUy1WZRGXL56HlQvnBNkHfwq/FEn48y4zhUjG24p8qWskk4UZQyRA+eGbsbgkDke59IP/pvsnieXzGtFUE0XPYBIA/SL39/cjmUxiybwWkCLlJdt2oPI8bAK4fnhbhkj8SZWMaYHnOCiSEMh35D0udw6EELAch3Q8Dtd1oYZCsB0HVWEVTpk2X/9a/YOD6OzsQk1NDaLV1YHQoJbJBh4RIs+V9MgAhupbKV33/t4qKjcSUZURqq5MsJkRREIqjKzpbcIjnze3y2ne3LngOB6Oaw8RkiLD9QjF72aKRkIwTRuR6tpgoC8ej4Pl2KBY7xIXVSEVpmV7w4eFXzMlTXlE6sufB6ERgoysaeflmuOJOAYHBtHc3AxVGdooAuMuQt0bCUhgj6vlzHOUaxBgwEDPZKB6UhoRVYGezY5ocQZoiph2seV/JyzLgWUZwfOFJBFHT5xEJBJBNBKFbuhIJBPoy9EDUxQF9bXVwf3w60q+RpYe2DizICiee/fbi5vra7Bt8xpvZssNCML/3jMME5z0c0kjV1FhJmA8HVvApe/amizMKCIph0IKwJOFXCIRBAEMw+CadUvx0AvtVDqluxuWZVH/Cs9nuhj0TBbRiIp4ikp5MzlDiSNeE8cGXz6AphycjIOwquZN+tJT65CftksIIpEIZFmm8wPJJGJ9faiOhCBKMqqrqmAToLA3BIFp6Ojs7EJjY2NeTjalGbTGIItecVwMZCyKggEsL62S0gxwLIdoSKYmRjkQ+WK1h6ELpTQDYUUCw9B7k+uE58upi5KExsZGVA2byWDAeHLqnmkTQ7wTMCUAnuMRjUQRjURp9JIxoGs6YrEYWBD0iTIUVYGqhiBLIhRZgqZnA8MoAIiGlZLE6roEybSBsCp7E9sMOru7kUqm0DKnhXq8e6CeIm5eNsiP0oChzdi2HSS1/LbhQojkuCtatgEwdKbDcdy8WRieY5HJln5PU2kN5y9cQG1NNebMaYaRyVJlgppa2I4dEHLW0NDd0x0QsqqoYFl2SCOLoek9jmMRTxWfiwHoWm9/+yYIgt8Jxnn31M37J3cP8COVmUgkY12LaZqwLKtCJBPBaHKJ40ltjeX5h7cXL2yqRWOVitcPHIEgCJg3bx4USUC2SNtlLlzHQVSVkNKzJVNbiiQgOSyVQQiQ0jREwyEkPRkOPyWXP2HMQBJFSKKImupq2I4NK5tBIkFVZKMhFawgQ8mZuyCEID7Qj1Q6VVA6BKBRVdo2UBNWaU9/GeQWxAHAcR0k0zoEgYckCp6UCMByDIhVOuXC8xz0LNXs8jWkaMePju6uLoQjdE6Hzp/o+alFD0xOeqo6osLyUj25nzGGYaAqdOOrRx0YQjAQTyCVSiEWi3nKxSFEwmHUVEeRyZrgONabei9zP7yOL9rV1wfi2Fi+bDGsnOYCQghkSSgosujDtGwv70/vQzZHwHA4QoqUV4uhT4J8WXieGkaXS3tms1n09fYgEo0iUlWFtPcZDKsy9SoxCKKRKJrq66Fns8gYGWi6hoGBAfRavZAVechuWBDBsEAirUMUeciiSOdShkXNLMti+7Wbg2hs+O/8TdmPUPx6ph+t+MrdvgjldBPKeGdIAEzKQOKlxowhktFgIqmt0V4/l0j6+/shZwcRCoVQV1cHhmEgcuWL2AAlEs3IIBIKIZMp3FlDc+zFNmra2RJWZTjESxmQYZLfw/6iOhJGmmWhKGpQdDazGcQHY8iaNhRFgWlaUEUec+bMLT3YydBUiWU7iITUYKhuOCSRL3pC9+coFEmELAiIp0sTMJ3d4KF7KS0/XabrOlLxQdTX1SEciYDnqK9FIRLJhSqLiCfTXkeRAJ7nvegv/+8iIRUpTUdNTXXOQB993gsXL6KzqxOhUAiNdTXgBRGWXZwMJS9V5boEPT09sG0bLS0tsGw3GPDT9CxCJdJnOXcEIs9Dz2a9ugeCLqbcqXkhkMAvfj8ypgWe52B4roi+YONwaLqG5OAAItGqvM7JXK8SWRIg8rynHM1AURQqoFqXrwc20D+AsCojxotQQyoUonhmXXSuhMl5HTdcsRZzGmrK3I+hiCM3WrEsCx0dHQiHw0HU4j+2XG1lqjAeIkmnqTJApUYyQYzGJXGqIhL/+v6J5+zZszhx4gSu3rwBQm0fTnXGAADEHd3zG96JOKVpiKoyOgusO6SIZU+HaT2DaEiGwLFDSqlFojczZ56BZZmcojMBQ1ycPU9bY+NpDVnHRUhVoYZCBbWohpR9gZSmQ+A5SKIUGGEBXmNCEbG+XDiOi0RWhyqLsF0XZhF/8EjO7IaPRCKBgYEBNDY2UjVhRYYLAq1MZMBx+UORGdMCTM/Fz4uSAO8kn9bzZizpQF8EkUiEpsCMDBjXRsf5i7BtG7XVUShqCCwn5NmlUptcF47juTAyjDetTjcyf8BPkan7oiBwgQtiIURDqpfS8q7P5Ph8eFPzetYEx7CwynwupZxWYV+wMaRIYBg2uKamaUjGBxCOVpdMr2RNmz6nbSOsUm8ZzSuu5+qB8RyDVFpDOq2hr7fP66CjQ6S27QQDp2uXLcDa5QtKrr8Ujhw5AsMwsHHjRgiCENhBDCcVP+twKYhlvDpboVBo2qOp8WBGEUk50CJh+WGy8YLjOFiWhUOHDiEWi2HLli2orq6GFK7C6a4YCCHQjfKpHkUSoOdMzqd1AwrPjkivsGVO1ADtMosnfQ0jtagIXliRRmzCPjKZLHp6ulFdVYV5c+diMJGkbZ6eAZUgigGpSJIEoUA7q19MViURLuhmQuVXyk+ICzwH07K9jiNaUM9aVt4myvNcXrcUITQiTKdTaGlpgSzL3iGDQDcyXjHZLFhMpmrHhYv1fu7eV93NZE2UyqoyDIOGuhqkdQPzQ+HgxB3rH4Dr2FBlBRAEqIqC+ppqJFJpdHV1QRBE2ho+rMmDY1nYtg3DHjqZgyDYiH2EFAmJYQSXCz/ai6gyAAaEIcgWqXtQ4dB8mReGQXC/eY6Dmc0gMdCPqtpahEKlUyu5Ssj++y9LAiSBesk4Dv2ccxwPRaGyLARkSA8sJ324YE4j1i1pGfHdGA0cx8GBAwdgmiY2b94ckHputOKTip/yoq+9cMF+MjGeGkk6nZ6Vfu3ALCMSjuOQyZRvax0vGIbB0aNHwfM8tm7dGpjJ1FeFcfnCFpy+0AvDLJ/Y4odpGTEMFcCLKCJShhkMXKULSNDngwRT0AzDIK3riHiyKsMjt2K581Qqhb6+GOrr69Dc2ICUpqEmGoEsS6iqqqI5b12Hrmno6uoCwzBorK0GYTkoijLiy0DVYgnCIRXZAp1lwxFWlWEFdlpQZwBEwgqMDJX9yE1pua7f3pul6r3eBkHdDrO0oK3pnhYTlQ7JLcoXimyGg5IJH8hwFNMC4/1pc+/LLeZa5nopMNPMIj3Yj97uHjiuC1mW0dDQMIJECCGQ8uoiQ4V1WeIh8Dw0w/SK4VY5JZocRV/Ga52VwHFc3v0eUhsu/r3pHxhEIk47ymqqq6gjZYEUIACEVAnJtDFibb7gpa+owAtcoLVGXykDSZQgiRJqqmvoBu9Y2Hr5Qhw8cAAMw6C+vh719fWoq6vLi/QKwXEc7Nu3D47joLW1teDji9VWihXsJ5NUxpPamq2tv8AMI5LRpLamqkaSSCSg6zqqq6uxefPmER+CrauX4EJ3DOVtlzCio8vfUBIpDVWREFKGCVUWkEwX34j9E1QmZxMDaJpJEgWA5YIUUViRkR7WAEAIMDg4gEQiiebmZiiKDOJ1H6V0HTzHBV4RkXAYkXCYPqdjYzAeh6ZpcBwnKJqGQqGce0I7xxzb9jbtwjUglmGLypEQAMm0AZZhUBcNIe6dcGl7bw8Agrlz5+bN94gCn7chUv0wXwtLgZG1wLAorRDsgXY40edMasYQKQ1zHxQ5DrpdOAr1U2CSUINEKg2tuwvV0RAyWQtnz3YEaRxVDUEQ+ILKvz6yph2kjFR/4y8x5O6f/nOnwYck4anxlJE1PTHGwrUp4pmVJeJxLF60ACQnzRUINmaGSFoSeW8+pPi6CCFgOQaJlDaiBTgXPM/hPTe9DQtbGuC6LhKJBGKxGM6cOYNDhw6hqqoK9fX1aGhoGHFKt20b+/btAyEEra2toxJxLVRbyY1WyrUXjxXjrZFUIpJLgKlq/+3s7MThw4cDH+VCH4DqsILLFzbjtwdTJa/FMEwglJj7M8DXbNIR8kyYCmOoK0uVxaDWkgv/5Bf22j391lsfrkvQ19eLbDaLuXPnQBRFKMNsWG3HQUrXoSoSHIcEEU0kHALH86irq4NlWdA0LUhF+LMDNdVVSKWpAnAyrVOV3KB+MrQOVRHLz6B4HT0EVE7m1PkL4AVhRFqolAMgFQekaaAqRYVGSNGhToCqzg6vTQWkBAYhVYZtOxBFfsTMSyFomobOzk7U1dUhGo3S5+BZpFJp9A8m0N/fj7CioF8UEfLSh8U2C181Gd6QpktoKi+v4wyMx+WFD1224yKlGVBkEY5jQ5WlwN1w6J4BAwMDSKVSuGzZksDuwEe+YKMM13XgjEIWXpGG3nPTsrzhSjrR7hIE67hmw+VY6MnCsyyLmpoa1NTUYPny5TAMA7FYDLFYDKdPn4YoikG0Eo1GccCLYFpbW8ftPzI8WinXXjxWUhlvjWQ2dmwBs4xIJrvYTgjB8ePHcf78eWzYsAHnzp0r+UW5et1ydPfH0dHZV/QxiiRA0/M39lwiAQDbsiHwdII9XxGFBHLcAEoKIxJCkErrqI6E8hwJbdsJCr3+iZ4QUrQe7k8gR0KqVzTNBGv20zg1NTVU40nXkU6noaeTsF0EdRUiyzBtx5sOZ6Fns5B9B8WynVW0dTibyeB0dzeqolEsmDc3mAcBAJ7lyk6bAzSNFk/pYLz/Nm0L5vBiNkGe2diI+wpCa1qSCNuhEijD6xe5cC0T5y5cHDGPY9ouJEXF0uoaMAxBPJ5EIpUKhin9SE9RlGDDoZIw/rwIM9QlJdKivqZn4BIX4VGk7jiWpQOGHqGKghC4N9qOi1isD7puYPnSxcjabokogxJsRFVgEZeqIGctz2CswHMWlEkhQc1NFHgsX9CMLauXFl27oiiYP38+5s+fD8dxMDg4iFgshqNHjyKTyUAQBCxevBimaU6K3XahFNhYhiELYSx2Fz5mq84WMMOIZCon24fDsiwcOHAAmqbhqquuQjgcxsWLF0sSFcuyuO2ajfjxky8hkSqcLij8+fKJxAXAQRQ4pNI6ZFmETQDbdpEbiTAM9cUeTYrGtCwwhEqEDMbpRqUoNEfv309VlqGXqC0RQpBMawjLElRZKrhp8zyPaDSK5sZ6pDUDumFA1zT09lDPF9UjFUVREA2rXitq6fdTkQSk0rTo39vbi9qaGlRVVyOlU5VgVZaR1DOeyVTpe5EbZRAg8JIPKwpsd0h6JRKmEuelwDIMHOLC9BomZFEYck4MhAUIsoaGzu5eL3VYeEPTMxlEQgpC4RDq6mqgZ7LQdQOapmFwcDDwYY9GwnCdEBh25Ck2Y9rImDY4lkVtJFzWdZAQ4nVpDT3OzJlBSScG4dgWFi6YB6e8K4DX/k2Jy0/bhhQZICSw6AUQpLFKIaRI2LZl7ajTNxzHob6+HlVVVRgcHER1dTXq6+vR19eHEydOQFVVNDQ0oK6uDtXV1ROucxRLgfnkMtpoZbxzJBUiuQSYrIhE0zTs3bsXiqJg69atQaHOF24sBUUSsePaTfjpU68UTJ9YBVpbqbLJkHCjL8yYyZjgec47KZoBiTAMnYEot+ENFagZJHr7kErEg9bLvO8pU14SOqzKSGt08w0pCiyngBmRR3oMyyIUCtEPPSHIeK6G/sZY51nlNjXUwXER+KgPByGEep8MDKCxoQGhnLDedqjsfESlg5QlowhCaOfRiIYDhhKQrwXGMkUVkXMRUqW8lFzGtJAxqZ6W4ulpDQ4MIp1OY+7cuUVdKgEqR+9HjJZNC+P1tdWoikS8zjULuqbBNE309A4JJYZCKiQp37yL5+l0uEuoFAyAPBdDH7kT7vn3yc2bbQmpKliWQdqTZikEWRQKRj9aEGEIkEUeYJiyaUCO47D92s2QxdKF9OEwTRNtbW1QVRVr164Fy7JYvHgxLMvCwMAA+vr6cPDgQbiui7q6uiANVup9GS1KDUPmthcPj1Ymw699NmFWEclk1EhisRj27duH+fPn47LLLsv7oo6WqBprq3DTVevwxEvteT/nODbQeBqOoJGAMHnRgd/GqSoydK9ThxAyKs8MSRRgmlYwa9HQ0ICammqIwtDJcHhtpBByw3eA8fLYvi3sUIopnNP2mfPCIMsylc+oq4NtW8gYBlKpNN442g9RFNFQVwNWECEIIvxNL6rK6Dh/AcnUUHvvcHAME5g58TyHkCRT+9VhhJK7WRcEQ1+TJPBQZAEMQ2VpCp2KQ8GU/sjfWbYD09IR6+sFB2DuvLlgmOInYNEriOfC9zbxn4uRJVRHw0jrWVRV18Iw9EAhOIj0vH8YCMFrz00VyaIIPZOB4xJPjHHk+n2ZH0II5syZQ5s+vHX4xltZ24aZ87kLJFxKwLJpK7VuZBBSaYt2sajkhivWonGMir7ZbBZtbW0Ih8NYs2ZN3ulfEAQ0NTWhqakpOJTEYjGcO3cOhw8fDgr2oxGEHQ1GG60wDAPbtsf8fOl0ukIklwITiUgIIejo6MDJkyexevVqzJkzp+D1i4kNDsfli+eiuz+BtiOng58pIg/bKmKVyzBwXQJFFmAY3gmQINBx0nQdVZEwkp4DYnn1Xga6TouSmpYONmPLoptBNByiXT2jmFWJFBAhJIQWwQWBFtL1jAmjDCEBQF1VFAmORzgcgeu1FseTaWQyGaiyCIYXEQmHcbKnG5lstqD3iQ81R3rFth2kbK/bTJWR9vy8BY4baVlc5DUmdQPw9klFEiDwPFI6nW0BEGhEFUvJua6Lnp5uSAKPqupasAyLkKdlZYxQKKAt3qV0yjQjSwvitotoSIamZ8GGwt4cB0E2m4WmUYHJdHIQLrigg86Pov2Ule/iSGts+eunnXBdYFkWLS0tiKhq3oGAmo7R6FeVJfAch6RuQBGFsmk0X2WAYEiORRA4KL4Uivd9XbN0AdYsG9vQYSaTQVtbG6qqqkaY3A0HwzBBNL506VJks9mgYN/R0RGkyBoaGlBbWzvm+kUhFItWNE2DpmngeR6maY56GFLX9UpqazIwmhqJfwIYC9s7joPDhw+jv78/GDIsdv1s0W6qkXhH60r0DiRwvqe/7GNZlvFSMJ4KqkuCk77fhZNMawh7k+jloEg8Tp85C9u2PSHJnAlrhppkqYpY1FDLByGkYOHUh68IWxNRkTFt2Gbx6wkcm6dQy7IsnUb3WoszmQwyho5EfwzpbBaqoiKTzYLluBFpAEUUCqZKbIfqeHEcSzdO4kIrMyQqi8KIiGUoXcVDEWm6SpXFoqKS/mYs8gJq6xoAhhnaPAkdLGTZoQI5Fa0snephWQaO7cC0HZiWDZZhEA1RS+CsaUOSZEiSjPlzW5BIpQPpkcHBQXAch5BnQOUPazougWZkoEhiIAdjWdTOVxQFNDY20RbeEp9xP5qIhhTaSSdQKZSCIJRIhpPokIowVTKuiYZx/RVrSt6L4TAMA21tbaipqcGqVaOz2s2FJEmYO3cu5s6dC9d1EY/Hg7qKYRioqakJopXJ2Lx9gshmszh48CDmzJmD+vr6oO45mmFITdPQ1NQ04bVMB2YUkZSDf4oYS0dEJpNBeztNQeUOGRbCWCMeKjTXiv944jfU+a6EwKGf2rJzxOYYhhlx+E2nDSiyAJH3jYJGwrZtnOvuBABqRFXklMOxrGeapVK/8QK1irAql41+OI5BIq3DdQnCISoeOKJ+AuR0ao2EL5+RTppwGAYL58+HY1noHRhEX18fZEmCGgohpKplh9EAeK2ogJGxEFVlaEUGCv3Uf7EagN/mGvFqDsMVhwHAtj3VYVHEgvnzYAxPOzJDIpEizyEkS0iU9WUBQrKc19LskiGPc+p8ycA0LWRMM2h2iEapcrFPKr2ef319TTXS6TRUlcrwI2vCdR3E+/sQDqmorqkFy5SPkoChFl7/nqmy5A3Q5n9OwmX1whhYto0bt64vKMNTDIZhYM+ePaivr8fKlSsnJSVVW1uL2tparFixgioTeNHKiRMnggHS+vp61NTUjLtgr+s62tra0NTUlJc2H+0wZKXYfomQK/U+GiJJJBLYu3cv6urqsHr16rLFr9EU24dDlSXseMdm7HruNeglJtWpGRKBphlFSQSgsxe6kaGneUXOk5IHKDHGYnTjbW6sL/ol84uojDdJznon+FwbXPrhLp/KC8kyTX0wCGoLUVWBZmTheNGTIhWOIHxks1l0dXWhrqYakWgVwAAcz2PJwgg4lkFPbICetgcGEA2rAMsHp+1Cr5FjWGTNbOAFz3qpnUzWgpXzHkZCclmzLY5lYZgmbSRg6MwKrRfYME267lAojMUL5pWuxYA2I/jpoEiI+sMX2rjDqkwHBQsX1Lxr0CYBBkyetwjDMEPNDgAY4mIgnoCWol4hsixDkiSkUimEw2FU19QgrEoQeR6DqdJe7xxD6yK5xDskpUIHHX2JmdG0d9941QbURkef99c0DW1tbWhsbMSKFSumZDhPVVUsWLAACxYsgG3bGBgYQCwWw+HDh6mWWm1tEK2UOnjmwo+gGhsbR9Rec2srfmRSaBiys7Nz3HMx040ZRSTlPjR+SDiazd4fMly2bBkWLVo0qg/keGswLfXV2LZ5NX75UltJ4x6BY0qSCDA0O+K6LlKajmhYRdqgHV3pdBp9fX1YOLcFrFDYjthHSM6XdncdF6m0jpAswQFB1qRudlqZTZYtcBL1BwB5z3ckkTJK1mL84vG8Oc0QRDnvtZvel6i+rhZScyO0jAlNSyOd1oLTtl8XyJVsCalSXurI9YrYARGYlldUL99CrUhDOmWEUE8VQgg4hqC/rxfRaBWaGxtGda2Qmi92CVDlAT8NRj8HHB1aLfOZpKKNnl89Q4nJthwYueKcDANBlIKBPtu2kUwmEY/HAdB7DwAMqUEaDERBgCLT+sXwqJIQAkUtnt7zBx0FnoNLqJqA72FfCOsvW4iVi+eWfI25SKfTaGtrQ0tLC5YvX35JJrx5nkdjYyMaGxvzvmOdnZ04evQowuFwQCq0G3LkmvwIqqGhYQSJDIf/+R0+DPmb3/wG7e3tuP7666fmhU4xZhSRjAY8z5ecJRk+ZNjQ0DDqa4+l2D4cq5bMg+M4eOrVfXlkQv+TQBQlxPp64cA7TaohCAXaIHOJjAGQSlNJlP7BOGL9g2hsaoKkqAVTS7koZryl55yWnVEoGYcVKU+BNhe25ztSHVFhe1PPw79EyWQS/f39aGpsgqqGYTmF1+VPQVeHQlBlEYrnIpjJZKgk+cAALMuCoiiora7CgG3l1YV8+EQAEFSFQwAIsiWEPkOyLy+Tv25d19Db24f6+jo01NdBEgXvOsU3iZDfMTU8XWkMeYLw3mesnM/L8BpR8LoIgSJLniFaBiElP+LyiaS2thZVVVUwDAPZjIELFy/Csh2ogWyLiqpIKI/gomG1bAsvwIDnuEC8lONYqLIE03LyOg0ba6O4bvPqMtfKuUceicydOxdLly6dFpkQhmEC1eclS5bANE309/cjFouhvb29oB6Y3xBQX18/rgiKZVm89tpr+MAHPoBvfvOb+PjHPz5Fr25qMeuIpFTU4A8Z6rqOrVu3jjnfONE5lbXLF4JhGPzqlXavDkJ79wkB/eCxdRiIx6FrOgYHBsELPEJqKJDNYFkm8BD34RKCcxcuwsxmcNmSJRCk8tLzsiQgU6aTybIdOI6DkCIFG8lwcF7bbCn4rcqZrAlVptIf/msYGBhAMplES0sLGutqihJS7rrjWhoAA0nkIXhEIcsyamtrg5mLtJZGIpmGKIoIhaiWlSQNtRYDdIgukdYAAoRDntTIsA4klmFg2iPJwSc/f1pd5HkkUrrXaisgbWRHtCAHHV8l9pGMaSKqKshYtK5jDEvD+WAYwC0mRpCjqUVnSUhQT/Mjv1ypFkVR0FBbA83IwDRNaLqOZCqFvhzJm+qqKKojkbIdWsDIJgLHi1IA2mXHMSxM28Ht124edV0klUqhra0NCxYswJIlS0b1N5cCoiiipaUFLS0tBfXAIpEIdF0Pai/jIb/XX38d73nPe/DFL34RH//4x2elzhYAMGQ0LUKXCISQPE+NQvjNb36Dyy+/HPX19Xk/zx0yXL9+/agKtsPR19eHo0eP4u1vf/uY/zYXh0+dwy9f2hvkQAEGPM/Bsaxgo3FdF4ZuQNM16J7wYH1tFRhOgKIoQQqvu6cHIARNzc3gOQ410RASWsZr8yyMiFpg3mMYwjkS8KpCW1iHd+fQwbbSm39IzleWJaB1o66ubiTTGlpaWrzrO0UHCgH63ocUecRmLwoCRGHIojcaVpBMG3BdunFqmg7D0MEwbEAq4ZBK79+w6FKRJZqq8+o8I/3jCQYHB5FIJNDc3AxZViAKPCzbRu7SWZZFSJHojItXtwiPQlJfFHjPrZH+PwPQ9mGX5FnhRkNK2Y4vgePgEjd4ja5tobu7G5GqmjwvkWIaZY49ZJdrGAZEkYcoUdKRFBlGxhyxqYVkaVRkc+s1rVi1ZH7ZxwFDdcxFixZh8eLFo/qbmYB4PI59+/aB4ziYppmnB1ZbWzuqWkd7eztuv/12/NVf/RX+7M/+bNaSCDBLI5Lhqa2+vj7s37+/4JDhWK89GZPzq5bMh+O4ePLlvd5aqENf2s4f9gqFQwiFQ0FrLBwLvbEYXMeBLMvIZqlPdmNTE1jGVxDWwbIsFEUs2PbKjiKKYNj8x/jy7ZGQAt0w4RBCo6NRRCPDycF1XZw6fQau62LFsiVwCG0hTemlO4XCqlLEP4SmvERBgCQIgdUty3IIhyMIhyPe/TOgaTpisT4k4xwYlocaoikc/0vtC2AqniptIp1PInQmR8ecOXRa3W/XHt6kRetXVAo/HJLBMgyS6ZEpreHgGBZmzu3Knb3w51oc16WKBiU+w1QJmYOWofc0N31YXV0VRE1S4AhZYC08T610o1GEFQl9/YPQdB1nz1+A4ziIRiOoqYqC4ekAJ89xxduAc7B66YJRk0g8Hkd7ezuWLFmChQsXjupvZgKy2SwOHz6MhoYGrFq1Cq7r5umBmaaZV7AvJJ9z8OBB3HHHHfjUpz4160kEmKVE4m/2oxkyHO+1xwu/zW/lojlgGODJl9tBSGmVEoahdqWyGIEcitCNIRYDy3HQdR3d3d0IqSrqamuo0KPr0pbVsAo9Y+ZFJyFVpsq8JRCWpYKn1JRmgOc4RBQJBEzZE3ZIkfPIxrJtdHd1gRcEzGlpgZE1IYl0lkXguIJpHHrTmLIaaqZlQRI48CwgyXQgMTjZM0xgoKRILYgnU9B1HclE0mstlqGGVFqXEgRksjQqEHgWiiQiqRno6emBaZqYO3dOUHupCqslIwMCQDdMcAxVECjUIusjElJKyrNkshadEud4VIVV6JlsUWmZqpCKpFdEj8fjiA/G0dLcAlmRA+LlWRaiwAGMAKOEb0xIoZGUoqpQVBWoq4PppRC7e2PIZrOIhlVURSOwwZXsYqqtiuCdV6wt+vtcDA4Oor29HcuXL8f8+aMjnpkAf9LeH5KkBl5cQBorVqyApmmIxWLo6enBsWPHAj2wZDKJNWvW4NSpU9i+fTvuu+8+/OVf/uWsJxFghhHJaG6oL5OSO2R4xRVX5PlLjxcTKbb7syE+EbEsi1VL5oNlWPzy5b3IlknZcSwHI2sFp8uGhgZEIhFYtg3dm5TVU0k4BHQQLRRCKu1JZMhiUJcoJZ/uo+iGDk9eXtMRlmUoklhgYnvo9ebme7LZLLq6uxEKhVDv+dsDdLNOe/LyUVWFns2OmNMYTYuuJPje8FTynud5KBJV5h2KimhdSpIkSJKUp1oc1KV4Ho31tTAyLGRZRiZroq+3F5LIo6V5QaDGLPAjXSILISSLSOlGcE+FnHU5xPfxEDwds9KgSsgZagsMgoiqwCXIF0YUBKQMAyDAwOBQDUqS87v4FJk6LAJekZ/noOlZuDmVF4Hj6OxT7vcuR/W5uoYaULHEQW//AGzThCjw4HgRkle099fFsSxuf/smiEL5LWVgYAD79u3DZZddhnnz5pV9/EyBr/kVjUaxevXqgvsVwzDBEO6iRYvy9MDuvfdemn6MRHDFFVfgD//wD98UJALMsBoJgLKT5fv27UMoFEIsRj3UN27cOOpe73IwDAMvvPACbrrppjG9wYUE3HL//tjZTvzyxddL6haFVRkd5y4gnUqhqbkZSoHXJAk8Yv0D0LzcNs9xUL3p5sb6WjiEUFn4EjkWWRJLeKFQhBQZmk5bYCMhlU5eD4sYVFkKohG/yFvjqff6zy4KAkzLRG7Oh0rWezMorguOYQEGZTWdisnGcBznrSU7oiV4OIhLYJlZJFIpaJoWdNfxPI+WlhbwPE/l5y3Lcyssc5/8+lCB2+0bZWVNGwxLI45SGKqxjLyYLAoQRVonEgUBmayJWH8MmkZrUMPFCem6Rq6dY6lplmnZyFqWpwpd+jXKouBJoNCDUsbIwDB0uDaNfBhOQCgUwm3XbsGV61aWvBZAte4OHDiAlStXTjiDcClhmib27NmDSCSCNWvWjIsAjh8/jg996EOIRCLIZrNob2/Hli1b8O///u9YvXr0HW4zETMqIgHKuyQ6joOOjg40Nzdj1apVkzrAkyvGNtrr5k6sFtPSWbFwDkI3XoNHn38NRoFN3HVddF7shKHredayeWAYZC07aE90CYFhUDny3t5e9Pb0oKG+BooaAmF5sEXEBAWeRdl6aU7KKK3T3H8kFKJOd/6G771HyWQSMT+CGiY4J4m8Z2yUf7+SaR0sSwcIc+sExaDKXmdZgd85XgQlCjyIS8CxXNG2ZoZlUFtTDVGWUVVVlTcAdu7cucDRsLGuhsqelPAiYRk6tV2Ms11v1ibsCRmGArvbkX9ArXXNgr8DhuRcoiEZLgHig/3QdR1z58wFPywC4NhCKsjevXKHOqxqIiFYjgsGRa1qAgHRQMqHYaCoChRVAQjtkrTMLKpVAcme83j11UE0NDSgoaEB0Wh0xH3r6+vDgQMHsGrVKrS0tBR51pkHPxIJh8NFI5Fy6OjowI4dO7B9+3Z885vfBMuy6O7uxpNPPjmrCLUYZlxEYpoj/ch9XLx4EYcOHUJ1dTWuuOKKSQ8LbdvGM888g+uvv35UEtS5JOIPS5ZCPKXh4WdfRX9iyGXRtm10dXZBlgTU1jcUNbNSFRl6MYdAANlMBraZxUA8DoHjwIkSZEVBSB2yyKWREinZ8cWX8HzhOBaqosB2HOhGhnY4JT0r32ERVLl5H4CekBkGUOTCqr6ANyQniSXlZwB/eI+6JIZVFVnTHCEx47c6m6aJrq4uRCIR1NbWgmGYwA3SMHSY2Sw4jocaCqG2ugrhEBXAzF3eaDrafHVmEvw/D1EQaIrJtxQgJLArLgVFoorOvT29ME0TS5csgiiKnkdKzrUUpWxKThZFZC0ThHjT6oqMbHbk/Yqo5VOOIUXGPdu3QeDYQHYkFouBZdm8mYuBgQEcPHgQa9asmVV6UoUk7MeKixcv4sYbb8SNN96Ib33rW5PqDT9TMCuIhBCCY8eO4cKFC6ivr4cgCFMSChJC8NRTT+G6664rmy4bK4n4yJgmnnhhD8509iCbyaK7uxtVVRFUVVWXvAYt1hbfuDiWheM6IASwLBMZw4BjWxhIpCErMkJqCE0NdWU7b8o9D32MjM6uHvTHE5hTILUSXKdMXSB3M6YttTK0TDaP6CIhuayHiCjwRWRIFFi2g6xlgQEgCDziiWSQhisk3hlRZcRTmldXof9mWRbRSAR1dTUgDAdZFAtGlrmgVslSwRoTxzDUbtm0aM2jzGbNMLSecfbcebiui+aW5uBwIHA8FIXWyBRZKvveMQwluJGpNoKQqoABkNZpmlDTC6ftcvGed27F4rn5xOCLJPqkout6IF+/ZMmSSXE1vBSwLAttbW1QFGXcJNLV1YWbb74Z11xzDb7//e/PWgmUcphxRGJZVl7B27Is7N+/H4ZhoLW1Fd3d3dA0DevWrZuS53/66afxtre9regwY66a51hJxIfrunj417/Bc69SddN5c5rLFmNlUSh5Ki82xyDwHJIpDfFEEo5tgniT9aqqFvAOJxB4OutQDAwDXOzshOu4WLRoAURxpN+JwPN0gr3EJ4tlmTwZ/aGf5xAKIRBYruiUvo+QIhdteSaEIKyqEAQW5zt70NfXFzQyDIck8J6TIsn7eyOToQ0Pug7iOqirrYEgShBEqejGUMpj3gfPMZBEWiQvNhQK0IL+8VOnwTAMmpubC25oIs/T9F6Za0XDalnDNFniIfICDNMqee83Xb4U27aU7tLq6urCG2+8gZaWFhiGgcHBwaCLqaGhoajsyHTDJxFZlrFu3bpxkUhPTw9uvfVWtLa24kc/+tGkSNfPVMzoV5ZOp7F3716EQiFcddVVEARhUu12C6FUC/Dwovp4SIQQgrNnz6JGcPCem96BfSculPUM4Vi2bGqn2Dos24GiKmhurMNgUvOG+DR0dVF/ilwdq5AqQy+RYrFtG4nBATAMgzlz5sC2Xdh2BqoiwSUkOOXKkgBLK7/5F0oN+RpjLMuiJhwqu+nR+klhkyqA3pesmUVXzyBSySSWLFpY0A+ZEOKlFcmIv1cVBaqioA6AyLPo7etHItYPFoSKSvICwqFwIHkjcNyobJJlUQpSWpLIQxKEERGZyHM4duIUeJ5HU1MTGHbk6ySEQBCG7IgVUYAgCtD1oc4xeq9EJNMaSoUZ9D5wXtMCdcsEA2g5KTQAqK+O4u2tq0q+vosXL+LYsWPYsGED6urqACCvi2nfvn30WsNkR6YblmVh7969kCRp3CQSi8Wwfft2rFmzBg888MCbmkSAGUwkxYYMJ8MlsRSKKQDnWmz6jxsrXNfFkSNH0N/fj82bNyMajWLJwvl48qU9Jf9OkSWky+TjSzoqEloXkUQekVAd0l60ZRgGdF1HX18ftSmtqQLLUavX4a8va5ro6uxEdVUUzfUNeRu3blAXxUhIhW07ZedPmFFKryTTWlBDMDIj24b9gchSZE4IgZZOYWBgEM3NzQDD0tO7KEDLmUWJhJSyUaHAcXBckieQqOs6LDOLWF8PbIdAURU01tXBQel29pA3y+MfIqjSsA2WZRD1VIO1TAbdnRchiAIaGxuLRxkhNS/6yVgWMpYVKCLbjous5dsIlBGKzNPbGnqfBJ6DKovQsxYIIbjt7ZvAl0jTnD9/HidOnMCGDRtQW1s7dA+HuRomElSx+PTp0zh06FDgE9LQ0ABVVUuudSpgWRba29shiiLWr18/ru/54OAgduzYgWXLluEnP/nJjCDHqcaMTG2dOnWq6JBhV1cXzp49i6uuumpKnv/FF1/EqlWr8iRYxlsPyYWforNtGxs2bMirwSTSGh5/4XV09Q0U/NtydQte4GGZVkkx2ZAiByfWkEI3F7+uQAiBY9tIppLQNB2WadIOJs8fxLQs9PT0oKWpAZKiloygIiEFhNBOo2KGWVTmpFwdRs17zVT9VoWeNYNZmXCZzZ8QgsTgIBKene/wWg6VRZe9OgYpO4NT6vlcQmBmsyCOhdjAIBzXUy32Bv1yNySWYcBxLCyr+POZpolUYgCyrCAUiRaddBe8g1Up+RkQoDoagu260PQh8hwOUeBhO07JZgyA4Por16N1ZXFNrHPnzuHUqVPYuHFjURO5QjAMA319fYjFYhgYGKA6YZ5PSHV19ZQXqW3bxt69e8HzPNavXz+uekYikcD27dvR1NSEXbt2QZJKq3S/WTDjiOTAgQPo7OxEa2trwSHD3t5eHD9+HNdcc82UPP/LL7+M5cuXo7GxEUC+n/nw+ZDRQtO0YP5l7dq1BT+gjuPipfY38Pqh4yN+J/LFWzqB0XUQgcmbHww25rS3seSSlWVZ0LwUWMbzlw+FQpg/twWm7ZQgEq/GYtuAp2VF7VaHIgmGYcCOYm6Edo8V3mgjIRVZ2wZx3aIqyK7rore3FxxDUFPXUDK1EFFp+iZjWkXrQ4o39Fnq3WdYBhzDwnYc8CwQTyYxGE8GqsUhVYUaCqEmGint3WJm0d/XB0lWUFtXm+PLbua1NtP6T2FpmVzQGZws9YBhWaiyDNO2vHpQcDU6j1NG7HN+cz3ed+Pbin4POjo6cObMmaLf39HCtu1AeTcWi8F13SAF5jfcTCYmg0RSqRR27NiBaDSKxx57bNLm22YDZhyR9Pf3g+f5om9Cf38/Dh06hHe84x1T8vy//e1vsXDhQjQ3N0+4qA7QKd4DBw5g7ty5WLZsWdlrnDrfhV+9vDfQheJ5HpbXdVQM5YhELSG2J/AcREGANcz1kICG6Il4HNFoFI5jQ9P0IYvXkGc6lbMyVZFG6HMxDIuIqkDzZlAiIRUprbS5UlQtL1oYDtHOH9u2kTHzN39qi9sNWRRQXVtXclPgOc7rdqNfg5CiUEHNvJoUVSMumT7EyE41v3PLcRz0DgxA1+ggHxgukGwRJTHvHmYyGXR1daGpsR5KKJz/vjMMwqoMx3ahZ7MjUlqFwHoSHiOK5oS+XyzLQjMyiITKF+ElgceH7rgeVeHCKafTp0/j3LlzaG1tDdSHJwOEECSTVO6mr68PmqahqqoqKNjnTtiPB7Zto729HSzLYsOGDeMiEU3TcOedd4LneTz++OOz1ulwvJhxNZLq6uqSxfSprpH4xfaJFtUBWmw8evQoVq5ciblzR2fws3R+Cz60/Xo8/uLvcLGnH7LIwy7hp0G7ikq3onJc8ZSAZTvgWBYcx4LjOWQytP26r68PRiaDuXOpgCGVZU8HisU93T0AQDdE33SqwD0ixEVS08AyLMKKNGJAceQfMHnGTcWQ9YyZCAjCCpWJN7Imncvp6qLT6nPmlLWVlSUB6RxBSc1zufSVgjU9Q1uQyxCbJIx0iGRyJN8bamshtzQjkzUxEE9A13R0xjtpw4NHKgQEvT29WDB/Dji+wBwTIUFqLaxQEi83wDvcr2RocUPeNCFZAiEuRIGDWSLddt2WtQVJhBCC06dP4/z589i0aVPBjriJgGEYVFVVoaqqCsuWLUMmkwlSYKdOnYIkSeO2ynUcZ8IkYhgG3ve+9wEAHnvssbcciQAzkEjKYbIUeouBZdm8FuTx5GUJITh58iQuXLiAjRs35hUbR4NISMFdN70dL+87gjdOniv5WFkSy+p4lTPBEgU+OI2GFBkdZ8/DtCzMnTMHPM9TeX/LAsuwgcUrqSfIZDPQNA39sX64rgtZlj0pd3XEF9IlLkAILMtCJKRC0zMjWn8BqqZbruhNH0MjHyanIMyzDHr6eiGKIpYsWlBW4kQWi6vjBkrBElUBZlgGpEjtgBBCyboER1q2A1mkWmYtjQ2wHRdGJgsjY0DXqPe64zoIqSqMjAlF4Ypuaj5xJDUNLMsiElKQMe0RJK36LpllzkCOS6BlDC9VRglquMXzknlNWLNsQcG1nDx5Ep2dndi8eTPCw9QNpgKyLGP+/PmYP38+HMcJUmCHDh2iTSN1dUEKrNRgsU8iDMOMm0QymQw+8IEPwDAMPPXUU5NOorMFs5ZICrnxTRS0jVLAxYsXAQCNjY1jznM6joNDhw4hlUrhiiuuGPfphGVZvL11NRY01+Opl9u9ts2REAW+JJGwDOsNzxW/V369wrZtHDtxEjzPY8XypdCzJohbeLCOYRgosgJFVkDqCCSeR09fX9CFI8syVM+0S/BkPFxCPJl0DRzLFiQUs0z6CCAwzZFRRiabQXdXN6LRKFqaG6mGFyn5sr2No/Tz8RwXeN6HQwqMrDUiYh7NZDrPsUGXWNrTMVNlGZGQgk7Hgeu5GiqSgNhAHL29vZBkOairiDk1gUhYDcjW9WTnCSEIqTIYhqV6a4x3gCjzFcn1PqHddEP+7KosI2Oa4DgON129ccT3zXcj7enpwebNm6flJM5xXJ5VbiqVQl9fH86dO4c33ngD0Wg0SIGFQqHgNTiOg337qJtpa2vruEgkm83igx/8IAYGBvDrX/96UoRjZytmXI3EdV1YJdIflmXh2WefxQ033DCpvdl+Z1Y2m0VPDx1ci8fjiEQiwQe13Bclk8kEZjfr168flczKaJA1Lex+/QAOHu8Y8bshDafCCKsyUiU2OQZ0A/Fz86qqor6+HgxDLVUVRQJxScnTPSGEyoF475tt03oKLdYbEAQR1VVRCKJIu1hyNiSOZRFSFWg6nUcpH42M7JzyRSN9e9mwqiCt6xB4HrIk5knO+yhUzxkOkS8yMR9S4Di0jkK9OpiyUR8dGB35fIlEAol4HIsXLoCqDtU8/NZizTOe4nkeIVVFOBJGSFFGtELnQuB5hEIyNC1TUum5kGnXcBBCcMd1V2LForkjfn7s2DH09fVh06ZN09KqWw6ZTCYo1vf390MURTQ0NKC2thbnzp0DIQQbN24c1z5iWRY+9KEPoaOjA88991wwJ/NWxawjEtd18fTTT2Pbtm2T1lrn10OGF9VN00RfXx96e3uDdsTGxsaConSpVArt7e2ora3FqlWrpqRV8fSFbjz98t6cdAztgCqUIvIR8TSoikGVRPQPxtHT04OqqirU1NSMeIwiS+A4Fmmt8MQ07fYpvCk7jgtd18EQG739g7RryGsrlj0nSIAWhf2TdrH2U0KIl8ob+nykUin0xfrQ2NDopVWIpzo89BifrPRgFoVAFkVkyqQEw0rhzX/ovoiQRBHxVOnmAUUS8xwQ/dcSj8cRj8fR0tICRVHAcQxkUaSOiTnS8a7rUoFOXQexLRhZk/quh0JQFWXEZy1X/j+sKiCE5EnRF3pcMSxfMAd3XHfFiLUfOXIEAwMD2LRp06yQPHEcJxiE7OrqCrrAGhsbUV9fP6a9xLZt/MEf/AGOHj2K5557LujwfCtj1hEJADz11FO45pprJhxKD/cQKdXe67cj9vb2oq+vD4IgoKGhAY2NjbBtG4cOHcLixYuxaNGiKZV8MLImnv3tPhw9fX50p2pPBrwobAtnzp1HfX19wfwuJQmvXuB5shvDWkRHYzPLey3MhmEE/iqEkGCyvramGlnTAsuyCCsKDDML284nyOFSKPF4HIODg2hqboKqqGXXwjCM1+3FlG2XliUJRiZTcmaG52maleM4KJ6U/ci2Zp+0ht4DQggGBgaQ8uZbJEnyUkxDa5JFEYLA02jS+4oqnnR/NpulVgKaFrQW++TM80LBDjNRoNGZZtAW4tHY+cqiiA/vuB5hdYgoCCE4fPgwEokENm3aNKtaXF3Xxf79+2GaJlasWIGBgQHEYjEkEom8FFg4HC76HXYcBx/72MfQ3t6O559/ng65VjA7ieTZZ5/Fli1bJtRiOJFJddd1MTAwgN7eXnR3d8NxHNTU1GDhwoWj9mueKI51XMSr+95AbDBR9DE8z9G5iEJfCkIwGI8jo6VRXVtX9FRZFVYDgyQfYZUqAGe9SWyfkIshdxgy9/mz2Sw0T8NKYAGwfEAsgiAgrCowspRQCCFQZOqTTkAw0J+/EdNLekrBZSINgechijzcYV7pQ0vz/OPLFOtHpNkYOpNi2nYwozFcc4sQEggZ+kOSkiAga1Ezq+HwtceypuXJveR/N3w3Q03Xkc1kUB0NA5yAkKpClKSRNMgwiKoybJdAKxCl5OLmt7VizbIhC1zXdXH48GGkUils2rRpVg3b5ZJIa2tr3hxKNpvNS4HxPB90geV+nx3HwSc/+Um8/PLL2L1796g7Md8KmHFEQgiBWWYj2L17N9avX18wDTPa53Bdl7q/jbO113VdHD16FL29vVi2bFngC2JZViDx0NBQehBuotAzWez+3QG8cepswd+HiwgHEkIQ6+tDxsigqbmpZC2nlCBiNKwCDFNWcbYgkeSAZWiRPZ1OQ9d1ZDIZSJIUdIjV1VRTMULNCFqTM5kMmluaIQpizvOUrhcBI++JIkvgvFmKvNdcpng+dOovrH0VClElXSM7ZIVMCEFvby+y2Szm5HTEhRS5aGpwaN0yDUx83asC4FgG8SQ17TJ0HSzHDU3Xe2lEWpRXoBsZSKIAUeBH6HsBwKI5jXjPDVfnpdcOHjwIXdfR2to660jkwIEDyGazI0ik0GMHBweDmRXTNPHAAw9gw4YNOHXqFF588UU8//zzs8pj/lJgVhLJb37zG6xcuRINDQ3juv5kyJ0cOHAApmliw4YNwWmeEIJ0Ok2Npnp7oWkaamtrg7rKVH35znb24OlX9iIxLFdfiEhc10VPTw8c28bSJYtLpr38e1Mu2uBY2hlWqADMcxxsxyklBExP7TlpHcdxAnFJv9BcX1uDcDiMnt4YMmaWOhpyQyRNI5bSviV+jSVT4DWLArXITesZCHz54cNSBBu8Lk8zS5JEpNMGOru74DgOWlpaglMuvU45lWAOrkuCWpjfRKBnzCAtm0sQ/v/nqha7jgNFVdFQVwMw+a3FDEMHMR3HgZ41IYkCPnzHO+lBAUMbcSaTQWtr66Q1kVwK+ARoGAY2bdo0pol4vwvsK1/5Cn75y18Gsk3vec97cPvtt6O1tfWSeot8/vOfxxe+8IW8n61YsQJHjx69ZGsohlnX/guMf5akWFF9LNB1Hfv27YOiKNiyZUtexMEwTOBguHTpUug6nQ/o7OzE0aNHUVVVFXSATWaBcuGcJnx457vw6r4j2HPoBFxCU0HDN1XbttHd3Q2OZTFn7lxIolhyw1Tk0jUYhmGgGxkQeMVyb4I91wZAVaQRqbHhGK7JxXHckBOk68IyTcQTCXT19AIAGurrwBC6sfpOkKM71Rc3fTItG6ZlIxKiJ3fHdUbUaHJfU9owStZPBIH3BhQJMl4noCwKaJg3d4hwGZQf0ASdFcqt+1i2HcjQhFUZjkvAskxeFDVctdg0TRiGjt7eGIyciE9VVc8gi15fFgVcu2l1QCKO42D//v2wLGvMG/F0YyIkAgz5rzMMA03T8Morr+DEiRN4/PHH8fWvfx27d+/Gxo0bp2j1hbF69Wo888wzwf/PFFXhmbGKHIxmcx/rdPvwovp4SSQej2Pfvn1oaWnJUyQuBlVVsWjRIixatCiYxu3t7cWJEycQDoeDYn2p4t5oIfA8rt28FpcvWYCnXm7DYDKVd/I2TRPdXV1QFAX1DQ1evr105MeXOW3lEo1vLct6nuxpPVNAamQkJFEoOZnPsiyqqyLo7euDqqqIRqMwDAMDFy5A5KlnPcsLkITSQ5/Em2EpDTqjkjWpJE045BljDSuUuy4pK/0viVTaxnEcdHnkXVVbB8u2EVJkmmYCyjZLKBIdKiz48SAEad0Ay7CQRAERVUE6kxkxOMkAkEQR9TVVSGmG155NLQUGBgYgCFTxWVVVNNfXYN1liwEMzVo4jlM2JTTT4LouDh06BF3Xx02AhBB88YtfxP/7f/8Pzz//PC6//HJcddVV+OAHPwjTNKflfvA8PyML/DOOSEaDsUQkw4vq4xVe9A16LrvsMsyfP3/Mf587jWtZFmKxGHp7e9HR0QFJkoJIZaJGPw21Vfj9267DgeNn8Ju2Q8iYFgzDQE9391B7rzcjUi59U85QqhDRuIR6svMci2gkjEQZXS2J55EtQTbZbBYXL16gBOgpMquqirq6OpimCU3T4GZ0nDk9SIvMIRWqOjQE6SOkKNDKRCwhRQlO9QQIIoqQooBhGaQ1Y1TDh7JE5VIcT65FEEU05cjA6wZNn1HfehV6JlOU5OjgbcmnQ1iVA2UClmURDgr+Q++vIolIpnU6H8TzgeSI69L2bD96Xju/FocPH0ZdXR0uXLgAAGhtbZ0xJ9/RwCcRTdOwadOmcaXiCCH4x3/8R/z7v/87nnvuOVx++eV5v5+u9N6JEycwZ84cyLKMrVu34stf/jIWLBipOHCpMeNqJEBp33YA2LdvH6qqqrB48eKS15mMeoivI3Tu3DmsXbs2T15+MuBLPPhtxSzLBqQyVt2g4dCMDB595jd46XftqB/mCji8LjEc1Lq39Am+3BxCNKRCz2ShKtR7Y/hbyqC4/wtAB8oG+/shq2rJxopoWMVAPAHLNGFmsxiIJyGKQjBZL4oiLcSXiHwIIVAlEcYIC9ohSCKtoyS1ka8l9zohVUYimUJXVxdkRUGDN+CZCypeSe8/wzAIqTIs282LEkfjsigKgjfpP8yeGrR1m+NYaEbWU0AofXDYtGoZNiyfj56eHly8eDGQG/EbR2ZDqy8hJFCW2Lx587hJ5Otf/zq+9rWv4dlnn73k6atiePLJJ5FOp7FixQp0dXXhC1/4Ai5evIhDhw5NuzTLrCSSQ4cOQZIkLF++vOhjJoNEHMcJeuY3btw45TpCfseITyqO4wRf4vr6+jG1FRNCcObMGZw9exaNc+Zj77Gz6O4fDH4fUUsLEdLp8OK/9z3iS2lw5BKNwHGQ5fwpczrwV/g5/C64BfPmgBOKNymwDAMwyOs6YhiAODb6+gehaRoUSQQn0pqALMsFPwsheXTF85Smg+NoS24ma42YaFdVCfF4El1dXbTjrL5+xB0aavfNB/EUeTmOg5HJAGBKkjnt+FLKpseiIQUENJVpFpXmV3DvzneBAcHevXshCAKWLVsWDPElEolJT8dONvwZl2QyOe72ZEII7r//fnzlK1/BU089hSuuuGIKVjo5iMfjWLhwIb72ta/hIx/5yLSuZfbEqzkol9qajKJ6NpvF/v37AQBXXnnlJQllWZZFXV0d6urqsHLlSiSTSfT29uLkyZM4dOgQ6urqgg6wci2MR48eRSwWw+bNmxGJRHD58iU4eKIDL7YdgpHJjsK6t/RaFc/ithg4lqW1D+9CluPA0gxKKF6xupipeyqVQiwWQ3NzE3hRLnmoCKvKiMl9QgCwPJqaGhGSZaQ1Db39A+jt6aEnda8lVlVVMF7EV+48RQgJUn2O4wappHBIofMo3syJruno7OxE1EsjFrqNvMAXJBKGGRKLjIZVEDDIZM2iKcawqpRtU+Z5FmkjA9clIKCtxixLVQpyF/fOKzcAxEWbZzHruwNGo1EsWrQIpmkiFouhr68PZ8+eDQZyGxoaJhw5TwYIIXjjjTeQSCSwefPmcZPId7/7XfzDP/wDnnzyyRlNIgBVSr/ssstw8uTJ6V7KzIxIctV3C+H48eOwLAurV6/O+/lYJtVLIZ1Oo729HdXV1Vi1atUlGTAsBUJIcELv7e1FOp1GTU1NQCq5KQfbtoOe+Y0bN45IR+iZLF7ddwTtR06W3DyHy4wMR7SM9EoxbSkfsihQn3E9k7cOXzakqakJjfV1ZSfQFVkqWawXBB62ZSMSUmHaFuLJdDBZb9s2FEVBXW0NWI4HxxU/V5WbUZElEa5j4/jJM6iprUF1EQE/RZK8Icjir4nnec/UiwCEQShEyVQz8v+umBZYLoq5OvI8B0WSYJgmFs9pwi3XtKKtrQ2qqmLt2rUlicEfyPVnLWzbDmanpsJ0qhx8EonH4+OetieE4IEHHsBnP/tZPP7447j22munYKWTi3Q6jQULFuDzn/88/vf//t/TupZZSSSnTp1COp3G+vXrg5/lmlAB4yeRWCyGgwcPYsGCBViyZMmMC98B6n/gk0quvEN1dTWOHTsGQRCwbt26kl/ovoE4dr9+AB0Xe0b8TuR5mGUK7VIZ6ZXhJk8jfq9Snwye46jcuZ4JTItaWlogCMIIXa0RaxAEZC0TpdJreevwZi0IaP3ItixarPcIRpYlr66iQsgZdCSEQFVKE5amaRgcGEBtXS2aGxu9ifz8qJleRy7rH1MsrUgHCAVoRhYhVS47CCpLIoxstqzMy923vgMnjh1BOBzGmjVrxhRd5Cru9vX1IZ1Oo7q6OiCVqVYEztX92rx587hJ5Cc/+Qn+7M/+DI8++iiuv/76KVjpxPGpT30K27dvx8KFC9HZ2Ym//du/xb59+/DGG2+Ma6ZuMjEriaSjowMDAwNobW0FkF8PYRhm3GH2+fPncfz4caxatQotLS3jusalhmma6O3tRVdXF+LxOHiex7x589DU1IRIJFKSCAkhOHOhG8//bj8GEqng5+VIgJ6EraL5ryE14BL2wKqClK4Hj++PxQDiorauAaynXVVuwy2vF0Ug8ELB1BDVsuJgWQ4yJh3s8xWLDcOAINAOsFAohJqqaKA3VgjpdBrpRBzhquqgjsaAQTgkw3boYCDDMKMaYpQE0SPH4hAEDrIowrIdZIo0BwyRX+lrbV69DIKVRlVVFVavXj3hg5Pf5t7X14eBgQGoqhqkwCbakTgchBAcPXoU/f39EyKRn//857jvvvvw4IMP4uabb5609U023v/+9+PFF19Ef38/GhoacM011+BLX/oSli5dOt1Lm5lEYtt2yRrIhQsX0NXVhS1btkxaZ9axY8fQ3d2NDRs2oLq6egKrv/QYGBjA/v37MW/ePITD4cA9ThCEoAOsurq6hBCdi/3HTuPl9sPIZM28jqJCKJfWEoXSKRdCCESBg2XT962nuweu63qSJwJCigzX8+0oBobxO76KHzjKpdcABIN3mp6B4xXsqdquHsxaKJIIThCh5kiN+Egmk4jFYli0cAHYIqkxRZLAcgxch5TVAaOS+qU7tQJFZ0KgKDJ4lqM1p5xvcrGUVi5kiceaudVoqK/HqlWrJj369oVO/c8jgIBUamtrJ9RSnEsiE1Egfvjhh/HRj34UP/vZz3D77bePez1vdcxKIunq6kJHRweuuuqqCZOIbdvB9OvGjRtnhSR2Lvz5luF2vr5stt8BBiDouKmrqysYtRlZE6/uewOHTnSUTluVaUstF9FIXrHZcRx0dXWBYzk0NTcFa6JEIwT1hOGT70D5rjL6mNJEwnlDgS4hYD1l4EzWyiNBWeSpNa4n2eK6biAsaVkWEokElixaABelo+CwqiCTNWlqq0DaCxhd/UQQeFiWPaJNYciIyoLtUPvkQs/hw7IsLKxVsHH1ZVi5cuWUp3B92Xw/WslkMqitrQ1SYGOJJnK9UDZv3jzu7+zjjz+Oe++9Fz/+8Y/x7ne/e1zXqIBiVhJJb28vjh8/jquuuipwShzPF8EwDOzbtw+iKJatKcw0EELQ0dGBM2fOYN26dSXnW/wvsV9X8YUlfS+G4SfDeCqNl9oO48jpkTa/hBAIPF9wc/dRbgOPhBQMxBN0zkKS0dDYkPf+5bYNM6CT8pmslVe3KZcm4jgWruOW1vgqSHgEYVWF67rQjCwi4fyTva9YnEql4DgOHSatrwPD8UVP2ITku0zStBc1x9K9tNdY6iclZ0sIQU00DMtxvI6ukd8L0zJh6SncdfO1WLFixbTUATVNC0glkUggEomMSsadEOrK2NvbOyES+dWvfoUPfvCD+MEPfoC77rprIi+lAsxQInEcZ4SdqQ9/U3z99dfR3Nxc8oRdColEAvv27UNjYyNWrFgx7e2LY4Hrujh27Bh6e3uxcePGMcnp+8VRn1R0Xc9rK85tc+6JDeKFPQdxtnOoIC9LQtG8vPcM4Fiu5PwDzwKnTncgFA6hvq5+xF4XDYWQLDARHwmpMC0bLiGe1UDxDXA0fhvlBipDqgyGAJqRBcmhpFgsBk3T0NDQABbAQDweKBb70UrufSxFerJEfUdQJpUH0E43I2uW7M3mOdYTeCQQeC54jb5umGma6Orqwt23X4crN420z50O5LYW9/f3F20tJoTgxIkT6O7uxubNm8ftyvjcc8/h/e9/P7797W/j7rvvnhH3YLZjVhFJrtyJHyb39vbCtu28tE25dt2enh4cPnwYS5cuxYIFC2bVB8lxHBw4cGDSUnF+W3FfXx+SyWRBYcmOi914Yc9B9PbHy9ZHyhGNYejo7elFVVUVrUUVuPVhRfHmTAqAADVVEWRMs2gh2Vf5LZWek0WBztKUeO+jYRXJtAaB46EodG6mu7sHmUwmkIH3U2zDFYs5jgtk8Gurq0oW6wkhCCsyOJ5DxrSoh0wBhEZT8ynw/jCgtZdMJoOTp87givWX40N33jojP/eO4+TJuPutxfX19cFc1URI5MUXX8Tv/d7v4f/+3/+Le++9d0beg9mIWUMkuSSSm8oihAQfsJ6eHpimWTRt4097d3R0YO3atdPeMjdWZLPZPE/4yU7F5QpLDg4OIhwOB6SiqiqOnjmPPYeOo6c/XvQapYhGS6cRHxxAtKoakWhhSQfqIc+WtA9WZRm6QT3eGYZBWs83aMp1dSy+ztF0fHHB5LrvJSKwDBqamuG4pMSEOgn0qywzC9OyA6VdVVVHbF4hNdf/hLYoA8gz1goEMktsfKK33kJf6Gw2i66uLsxpasAfffh9ea6HMxW50fPFixdhmiai0Siam5vR0NAwZjJ55ZVXcOedd+Kf/umf8LGPfaxCIpOIGUkkw10Si5HIcOT6gfT09MAwDNTW1qKpqQl1dXU4ceIEBgYGsHHjxmnXphkrNE3D3r17UV1djdWrV095Ks6yrIBU+vv7IcuyF/HV42x3P3574EjB0zEd3Bu5iScTCfQPDGDp4tKFaVUuLQfPMgwIyZ9ElyURAs95tQOmbDNAoPFVIv0WVuQgKiIuQXd3d9BZ5gsjioKAgUSq5IYUUmT0D8apE6SmwXEcKIoSEAvnzdEUIr7AHlfPQJTEsvWTYk0O2UwGXV1dqK6pwW3brsbVG1aVvM5MAiEEp06dwsWLF7F27dqgtjLW1uLXX38dO3bswN///d/jvvvuq5DIJGNGE4k/qT5euRM/bdPd3Y10Og2O47BkyRLMmTNnVpnzDA4OYt++fZg/fz6WLl16yb8EjuMEOey+vj5wHIeamlp0J3Qc6egMUkj+svI+UYRgcHAQiUQCzS0tqK0uPZNRLnVWShNLFHiIniy94xb/WI9GDNEnEtdx0dXdBYZh0NzcHBA4x7BwQbvLJFFAWjPgDvsqFRra9BWLdV1HNptFNBIGL4iBvXDB1+yZh9mOA62ANTDgperMkcOZmUwG3V1dqKmtRUtTI/7ne26GJM6eppJTp07hwoUL2LRpU57WXanW4uHp7fb2dtx+++3467/+a/zpn/5phUSmADOWSEzTnJRJdU3T0N7eDtVTkPVrAdXV1UHaZiarmnZ3d+Pw4cNYsWIF5s2bN93LyROW7O3tRSZroi+dxbneOCKRSL6GFyHoy/EnlyWRRhMleqkUSYKRLUE0ahlpFkWBYZoIyRL0Iq6NxaImHzxH51NsTwae53k0NTWBYYc+fxFVDQYqAaot5gs5+t1l5dqgbdsGXCouaRhGnmKxJInwSSE3YlG84vxwNeVCnXIZw0BXdzfqamsRrarC9Vesx6bVxYVOZxp81e3NmzeXFEx1XReJRCKvtfjw4cOwLAvr1q3DH/zBH+BTn/oUPvOZz1RIZIowI4nEtm1kctIb403j5A7qLVu2LPgQZTKZYCOMx+OIRqNobGxEU1PTjJkjIYTg7NmzOH369Iyt5xBCkEgk0Nvbi/MXLuLwqfO4OJCGLMuQFQX9sRhMy0JLczN4b9CwlK3saKTrZbG0nW5uRMMwDMKqgqw1NBsi8hz971JF9pCCAU/BV5KkEe3JQOmOr7CqAAyDdNoo1VjmRSw0inBdB7puBNEKy7KBXz0YNhCX9OETV9a0wHL5ApkAYOg6unt6UF9Xh0g0imhIxUfuvAk8P726caOFr1xdjkQKQdM0/Od//id+8IMf4I033kBLSws+/vGPY8eOHVi7du20kslXvvIVfPazn8Uf/dEf4Rvf+Ma0rWOyMSOJ5J577sGpU6ewc+dO3HHHHZg7d+6Y3/wLFy7g2LFjIwb1hsOXGOnt7cXAwEBQYG5qappynaBi8Aeuenp6xtzeO13w61Md587jN6/vx+FT5wEA1TU1iITD4HjeK3CXjiaKdmsBtK24jKGZJIkFjbLCqgLXdcHzfMk1EELAguDsufNQVZXO5wz76AVkVuIjGfValQWBh6ZnRqS9gOIRCyEEhmFA1zW4lkU9XVQVqldXyTtYEYLqqjAs26UT8QwDXdfR09OD+vr6oBZ489s2Ye1lpf17Zgp8Etm0adO4a5nHjh3DLbfcgrvuugsbN27EL37xCzz11FP48Ic/jPvvv3+SVzw6vP7663jf+96HaDSKbdu2VYhkqnHhwgU8+OCD2LVrF1555RVs3rwZO3bswI4dO7Bw4cKy+lEnTpxAZ2cn1q1bh9ra0hasuRheYFYUJSCVS+W/4DgODh48CF3XZ+WkfTabxd69e2E5BBdiSex94zg03YAkSaitrgIvikVrAeWkWcJqadkPnuNKDkr6z+ES4kVGI99PDgSnO84iEonQz06BtzyqqkjqpQUTBW6o4yvXv8RPe/mqxKW+fJLXomxms9C81mLLsoJifUhVEQ6pQTQi8Bwcy0LH+XOorWsITvJ11VF8eMcNs2JWqqOjAx0dHRMikVOnTuHmm2/G+9//fnz1q18NXncmk0E8Hp8Wq9p0Oo3W1lb827/9G774xS9iw4YNFSK5VCCEoKurCw8//DB27dqFF198EevWrQtIJTddBQxtwpqmYcOGDROKKGzbDuxwY7EYRFGk0uaNjYhGo1NCKqZpor29fcrae6cafmdZTU0NVq1aBZZlkdJ0vNR2CK8fOIJ4PA4jY0D0isvB4J53K4u10/qIhNSSirflahJUXoQOMvodUemcaCGTySAx2A9JVlFdU13wGrTji/NMvQojpMhFfUJCqgJCAI5jSq4VKNwUYJkmNF2HrmnIZLOojobBcgLUUAimaaKvt5cefhoaQECQNjLYef3VuGxR8ah8psBP5W7atGncUXhHRwduueUWbN++Hd/85jdnDHnec889qK2txde//nVcd911FSKZLhBCEIvFAlJ57rnnsHLlyoBUZFnGxz/+cfz5n/85rrvuukndhIfb4XIcF0QqpcQQxwK/KSAajY5ZynsmIJFIoL29HXPmzMHy5ctH3JNkWsfvDh5F+5GTSKfS0HRaC+A4DiE1hOqqKFieL9naLQmlFYXLdXzRAcP83/vRQv9AHBe7OlFXV1fyJDwqjS+l9GNYloEk0pZl33RqOEYTsfAci4HBOHRNg24YVCY/FEJVdTVkSQIYBnMb6/CB27bN+CLzuXPncOrUqQmRyIULF3DTTTfhxhtvxLe+9a0Z8x36r//6L3zpS1/C66+/DlmWK0QyU0C8ltLHHnsMDz30EJ566inIsox169bhH/7hH9Da2jplHyLf1MevqzAMg4aGBjQ1NY3bKS4ej2Pfvn2YO3fuiChrNqC/vx/79+/H0qVLsXDhwpKPTWk6Xj90HPuPnoJl2TAMI/AEyZgWVE+6fbjKriQKyJaYmKdCj/wI69tcFEud0TbxHixdvBiiJJVU6C2r8cVynsZXifbjnHWwLIOwqiJrWXmtwqORePEjllQqhVhfH6qqq2HbNnRdBwNADYWw851vw5Ub10y7OVsp+CTS2tqKqiKGYOXQ1dWFm2++GW9/+9vxve99b8a83vPnz2Pz5s349a9/jXXr1gFAhUhmIh555BF88IMfxO23345MJoOnn34aLS0t2LFjB3bu3ImNGzdOKan4Yog9PT0ghJRV2B0OX65l+fLlmD9//pSscyrhtyeP1cNF0zN4/dAx7Dt6CpZtI6TIiA1Qj3Vd0/NUdhVVQVUkXDKtVc5oq5jYpG/r29jYiObGOqQ0A6oig2UYpIcRhsBT5d2SRfYy7clA4cl74plusSy11/X1sopB4FnYtktl7Pv70dzUBMWb9CaEIJPJgIOLa9YsgePYqKurC+YsZlLK9Pz58zh58uSESKSnpwe33HILNm/ejB/96EczhkQAuj+9+93vzluT4ziBb1I2m51R6x0vZjWR7N+/H9dccw3+4z/+I5CBTqfT+OUvf4mHHnoITz75JGpra3HHHXdg586d2LJly5S9aX4rbE9PT6Cw65NKfX19wec9e/YsTp06NWPbe8vh3LlzOHnyZFn14VLQjAzaDh/HweMdQxPtxFPZ1T1LXMtGbXUVWF4IpsGHo1DaKheyNLJtOJFIYGBgAM3NTZBlBQLP5c2diAIPSRKCrqtyzQBU40sq2DXmoxzh0dcSAkA8Cf3C7dDRkIILnd3oHxhAS3Mz5AJNGTds3YgNK5cGag+5Doa+SOd0NnNcuHABx48fR2tr67g9gGKxGG699VasWrUKP/3pTyfkcTIVSKVSOHv2bN7P7r33XqxcuRKf/vSnsWbNmmla2eRiVhMJQE80xU7yuq7jqaeewkMPPYQnnngCoVAI27dvx86dO7F169Yp+9D5GkE+qWQymUD/q6GhARzH4fjx44GR1nhPYtMFQghOnjyJixcvYuPGjZOyfiNrYu8bJ7D3jRMjNnzLNJExDCRTaWSzWciyHBTr/fewnJFTfv2EYHAwjkQijubmFjr3UkJskmWpu6FtOzBKpL0USSzrSFiujkMIgSQJME0bDENrMrZLoBtDemIcyyAeT6C/vx/NLS0FB2pVWcJH33crhGGfccMwgsE9X0/NP/Bcqs5EYIhENm7ciJqamnFdY2BgALfddhuWLFmCn/3sZ7NGraKS2prFyGQyeOaZZ7Br1y48+uij4Hke27dvx7vf/W5cc801UxbuE0KgaVpAKpqmBc81W2ZEcuG6buCR3draOumzNlnTwv6jp7Dn8PGgFqFIQ7a7tm0HulWBdHsohKg3q1IMQ7UNgv7+AaTTKbS0tEAUJQDlN3hKNCbCqgqHuHkbu49yXWVA+RZlVaGClCOfX/RmUgyYmQwudHahpaUFUhFVhmtaV2NrGU0ty7KCzsRc+XbfUXOqUsIXL17EsWPHJkQi8Xgc27dvR3NzM3bt2gVJkiZ5lVOHCpG8SWBZFp5//nk89NBDeOSRR+A4Dm677Tbs3LkT11133ZR9KE3TRFtbG2zbhiAISKfTqKmpCaRaZvqXwZewz2Qy2Lhx45RKy1i2jUMnOvC7A0fBMEAiNXKD9qXbHcvEYCIJnueDSCX3XjIMnXJ3XRd9fTEYBpVsEYShE2w5M67hqTNFFsFzHNK6AQIqJkkn1ItP5o9G46tcii6RSCCra2hobgbDFk7TijyPj951GxRp9Cd031HTj1Zc183Trpqs6L2zsxNHjx7Fhg0bxjTjlYtkMomdO3ciGo3isccem9ESR28VvCWJJBe2beOll17Cz3/+czzyyCPQNA233XYbduzYgXe+852TlkPWdR179+5FNBrF6tWrwXEcDMMIur8SiQSqqqrQ1NQ07bnrQrAsC/v27QMAbNiw4ZIVbB3HxZHTZ/G7A8fQH08WfEwkrCKRTAcdYLqug2GYEX4gvb29MM0sWlrm5G2MQ0RT/KtQjGh4joOiUNIqF42US7+xnpZX4XUQDAwMwjIN1NTWQxRF2hTAsvSaOdHR5tXLse3KDSXXUgp+vc8nFV9F2yeW8R54urq6cOTIkQmRSDqdxp133glRFPH444+P25ekgsnFW55IcuE4Dl599VU8+OCDePjhhzE4OIibb74ZO3bswI033jjuNI7f3ltsxgKgxWWfVAYHBxGJRIJZlen+smQyGezduxeqqmLt2rXT0mVCCMHJc5343YGj6Oztz/vd8C4oX2LEJxVFEmBkLTAMgzlzWsDz+SSoKlKe98dwjIZoQqoMFgxsxy0oOslzHJwxtAXng2BgYACpVArLlyyBOawAL/AcFM/K13UJ/tfv3YJIaPI+M750e29vL5LJZKBN19DQMOrvhE8i69evR11d3bjWoes63vve98J1Xfzyl78cswZXBVOHCpEUgeu6eP311wNS6erqwo033ogdO3bglltuGbV8Q29vLw4dOjSm9l7TNPOkWkKhUJ7+16WcM0mn02hvb0ddXR1Wrlw57UNehBCc7+7D7w4cxZkL3WBZBsQtrijsui76Y31eTYNGOKo65AfCslzZdNJojLJY1icaAkWWwLFc3lBiuecAaLpsZLGeoL+/H+m0hvnz5oHjuBJURLB+xVLceM3mks8zEWSz2SBSGRgYgKIoZT1Buru78cYbb0yIRDKZDO666y6k02k89dRTs662+GZHhUhGAdd1sW/fvoBUOjo68M53vhM7duzAbbfdVvQL5LfHrlmzBo2NjeN67tyCaCwWgyzLgVRLJBKZUlLxI6l58+ZNiw9KOfTEBtF+5CQOnehAoY+x4zjo7ekBGAbNzU1gGCbwA9E0DaZJdavqaqvB8QI4rnAdoNxwoCJLBU2n/EhBMzLgOa5k22+uEvAQqJoDleGfg7qaqrJkdNet12FBy/g+a2NFridIX18fWJYNivW1tbVgWRY9PT04dOgQ1q9fP+4W8Ww2i7vvvht9fX14+umnx12gr2DqUCGSMYIQgsOHDweikkePHsW2bduwc+dO3Hbbbairq4PruvjhD3+IZcuWTVp7LDBkMNXT0xPof/mF+nIOcWNFX18fDh48iGXLlmHBggWTdt2pwGAyjT2HjuPQ8TNBR5TvJVIVCSNSVVjGxrIsZHQdybTfViwFfiC5NaDCkcIQykUbkihA5HnYrlP0OiO7xohXn8hgzpwWcBxf1oe+JhrGR957y7QQvu9T45OKZVkIh8NIJpNYvXr1mIZVc2FZFj70oQ/h7NmzePbZZ8cd0VQwtagQyQRACMHx48fx0EMP4aGHHsKBAwdw9dVXwzAMXLx4ES+99BKampqm5Ln9Lpuenp48/a/GxkbU1NRMaDPp7OzEkSNHsHr16mlRSh0vNCOD9iMn8bv9R3Cm4ywURcHihfNLdmP52lmOY0PTqMKubzIVCoUQCUfACzxKjbMXa9n1kUs0qiyB41ja7ZXzzctvCybo7e1DNpsJGgPK1XEA4JpNa8q2/F4K+F46J06cgCzLyGazqKmpCaKV0XZZ2baNP/iDP8DRo0fx/PPPz8qh3bcKKkQySSCEYM+ePfi93/s9pNNpWJaF9evX44477sCOHTswZ86cKTsp+qdBn1QIIQGp+CmG0aKjowOnT5+eUD57OpFOp/Haa79D0nTRm8wga1olT/GFFIOpyRQlFWLbMB036ACTZQm5pEJrNKVK6IUdGXmOg6rQlJgkCgHZEUK87jIziESA8lEPwzD46Ptu9abipxd9fX04cOAA1q5di8bGxmAI0jeS8z1/Ghoaig5BOo6Dj33sY2hvb8fzzz8/qw40b0VUiGSScObMGdx0001Yt24d/uM//gOxWAwPPfQQdu3ahVdffRVbtmwJpFoWLFgwZaTiC1r6HWCO4+TpfxXruPJ9XLq6umbloCQwpEA8f/58LFmyBK7r4njHBew5dBzdscGCf1NOsiSsyujp689pK0aQ/lIUBeGQUlQyHijiY5/7ewBV0RBMy0ZaM9DXR+V1WlrmBO8Vy9ALleoaWzyvGe+96dqiv79U8ElkzZo1BaNx0zQRi8UCr3VJkoJivT8E6TgOPvnJT+Lll1/G7t27SxrTVTAzUCGSSUJnZyf+/d//HX/1V3+VFwEQQtDZ2RnI3//mN7/BunXrsHPnTuzYsWNKi9iEECSTyWCq3jTNQKqlvr4+mKVwXRdvvPEG4vE4Wltbp73deDzwbZWXLFkyQoGYEIILPTHsOXgMJ891Bj/P9Scphlyi8cUQ/WI9IS4a6moAloeqqmCYkZFfSC3uTeKD41jYto3B/n4ABDV19XnXGo0S8PZtW7FyyfSKfsZiMezfv78oiQyHn571dcD+/u//Pjjs7N+/Hy+88EJZNempwre+9S1861vfQkdHBwBg9erV+NznPodbbrllWtYz01EhkksIP23xyCOPYNeuXXj++eexcuXKgFRWrlw5paSSTqcDUjEMA3V1daivr0d3dzds28bGjRtn/HR9IfiNAStWrCh7eu2PJ9F26DgOnzwLVZFKposEnoNl2yhMNATZbBaWmcVgPAHbtqEoqpcCo23FQPmUlCKL0I0Muru74bouWlpa6IS+IsO0LGRNu2wNRpZEfOL926fVjz0Wi+HAgQNYtWrVuNJQhBD8+te/xje/+U289tprcBwHN910E3bs2IE77rhj3B1f48UvfvELcByH5cuXgxCCH/3oR/jqV7+K9vZ2rF69+pKuZTagQiTTBD8F9eijj+Khhx7CM888gyVLlgTy96tXr57SmY10Oo2uri6cO3cOruuitrY2aCueLeJ3wJCM/WhPwT403cD+Y6ex942TBVt3gfKOi7RATokmv63YhKJQYcm6mhpYRRR8AZo6O3HqNAghaG5uHvGeh1WqcEBnUgofMjauWoYbtraWfsFTCN+PZrwkAtCo+K//+q/x85//HM8//zxs28ajjz6KRx55BB/96EfxkY98ZJJXPXbU1tbiq1/96oxYy0xDhUhmCBKJBH7xi18ERl1z584NSGXDhg2TTiqGYWDv3r0Ih8NYunRpMKuSTCZRXV0dSLXMZB0jX0F2IjL2lm3jjZNn0Xb4xAgJlnLaWJFwYZFG27agaToMQ4euG5CkIWvhXH0v13URH4ghY1oFSQQYmnYXeB6yLMIwzBGijx/a8S401U/PbMXAwAD27duHyy+/fNwtvoQQ/N3f/R1+9KMfYffu3Vi5cuWI30/nDJPjOPj5z3+Oe+65B+3t7Vi1avo742YaKkQyA5FKpfI8Verr6wOl4i1btkyYVFKpFNrb29HQ0DAinZbJZAKjrkQigWg0GkQqM0n/q6OjA2fOnMGGDRsmZUCNEIIzF7rRdvg4Oi72eEZYXFE/EACIhhUk08WJJqTKSKY06J6viq4bEAQhKNQPDvSDYVk0NzcX3SiHW/syoL7vLiHQ9Aya6mtwz84bx/26JwKfRFauXIk5c+aM6xqEEHzlK1/Bt7/9bTz//PMzyp/j4MGD2Lp1KzKZDMLhMH7605/i1ltvne5lzUhUiGSGQ9d1/OpXvwo8VcLhcND9tXXr1jHrXg0ODmLfvn1YuHAhFi9eXPKk58th9PT0BN4VPqlMtnz8aEEIwalTp3DhwgW0trZOSXdZ30Ace4+cxOETHXCKEMlorH2H10dc1/XaitPQNA2yKECUlYBYCoHjODhFZOclScTbNq7GptWXjeHVTQ4GBwfR3t4+YRL5+te/jq9//et49tlnsWHDhsld5ARhmibOnTuHRCKBBx98EN///vfxwgsvVCKSAqgQySxCJpPBr3/968BTRRTFIFJ529veVlaR19f9uuyyyzBv3rwxPbdlWQGp5Op/XUpDJEIIjh07ht7eXrS2tk65aJ+mG9h39DT2HT05YhhQEnlkTbvk34sCD9PKf4zjOOjq6gLPc5jT3Bi0FgMI0l++X30hV8fh+IP33IK66kvbqu2TyGiaG4qBEIL7778f//iP/4innnoKW7ZsmeRVTj5uuOEGLF26FN/5znemeykzDhUimaUwTTPPU8V1Xdx+++2Bp8rwgrlfT5iI7pcP27bzpFpkWQ5IJRqNTgmp5LYob9q06ZKm2WzbwdEz59B2+AR6++MAgEhYQapEWouSSH5rMSWRTgiCgMbGJijyEFHkthU7jgNVVdHcWA+HMEVTmZGQio/ddfslrR/E43Hs3bt3XIcRH4QQfPe738UXvvAFPPnkk9i6deskr3JqcP3112PBggV44IEHpnspMw4VInkTwLZt/OY3vwk8VQzDCDxVtm3bhr/7u7+Dbdv4q7/6q0kXvHMcB/39/QGp8DwfkEp1dWGNq7HCdV0cOHAAhmGgtbV12lqUfeXhvYdPoCvWj7RWvCV3eMeX49jo7OyCJIloaGgEzxdPWWWzWUootoVUWoOiKEG0kpvKXLN8MW659orJe4FlEI/H0d7ejmXLlo1ayXo4CCF44IEH8NnPfhaPP/44rr12+ocoC+Gzn/0sbrnlFixYsACpVAo//elPg+jpXe9613Qvb8ahQiRvMjiOg1deeSVQKk6n0yCE4DOf+Qw+8pGPTOmwoeu66O/vDwbMGIbJ0/8aT5OA4zjYt28fbNtGa2vrJTPUKofBZArtb1Dl4UKT8bkmVlRAshOSJKOxsQEA4xXRS0ueAMhrKx7uV7/jnW/DqmWLpuLljUAikcDevXsnTCI//vGP8alPfQqPPfYYtm3bNsmrnDx85CMfwbPPPkuFP6uqsG7dOnz605+ukEgRzGgi+dd//Vd89atfRXd3N9avX49/+Zd/wRVXXLoT2GxGNpvFBz/4Qbz22mu4+eab8cwzz6Cnpwfvete7sHPnTtx8882j9lQZD3z9L1+qhRCSJ9UyGlKxLAvt7e1gWRYbNmyYNLvXyUTWtHD4RAf2HjmJwUQKAN0wacThwrYtdHZ2eb4d9fBTXTRiKeGBUmAI0bbtQAPMMAy878a3YeH8eUHzw1SluHwSWbp06biVoAkh+O///m988pOfxEMPPYSbbrppkldZwXRixhLJz372M3zoQx/Ct7/9bVx55ZX4xje+gZ///Oc4duzYhHP8bwXce++9eOONN/D444+joaEBruuivb09kL8/d+4cbrjhBuzYsQO33nrrpMvQ54IQgng8HpCKbduor69HU1NTUf2vbDaLvXv3QpZlrFu3blpcGceC3PbhnlgcRjYLy7LQ1dUJVQ2hvr4OPokQQiCJIwvxuYiGQ0imtaK/r62K4JarN+RpVvmzP5P5XiaTSbS1tRWUnhkLdu3ahY997GP42c9+httvv31S1lbBzMGMJZIrr7wSW7Zswf333w+AnnDnz5+PT37yk/jMZz4zzaub+Thz5kygrjochBAcOnQoIJXjx4/nearU1tZOuf6XP6uSzWYDUvH1v/xhSd/ffrpdGceKvoE4Xtt3GM+89FvIsuKpKA/dzyETq+Io17G1ec2KwJfdr1P5KUWO44Lob7wpRWCIRBYvXoxFixaN6xoA8Pjjj+Pee+/Fj3/8Y7z73e8e93UqmLmYkURimiZUVcWDDz6InTt3Bj+/5557EI/H8eijj07f4t5k8FtqfU+VgwcP4tprr8WOHTuwfft2NDY2Trn+l08qhmGgqqoK6XQaDQ0NWLVq1YxzZRwN0uk02traUNfQgIzLYd+RUxhMpoPfl0trlZod8fGeG6/FkvkjJ8mHpxRd1x2V+vNwpFIptLW1YdGiRRMikV/96lf44Ac/iB/+8Id43/veN+7rVDCzMSOJpLOzE3PnzsUrr7yS1xr4F3/xF3jhhRfw2muvTePq3rzwh/18+fu2tjZcffXVgXDeVHqqAHTO5eDBg+B5qspbW1sbFOtni/6XvwH7UvYMw4AQgtPnu9B+5CTOXOhGWJXzptWHY/g0+3BwHIv77t4JsUzjASEEiUQi8ALJZDKor68PZNuLNS74r8EfWh0vnn32WXzgAx/Ad77zHfz+7//+rDwUVDA6VIikgoIghODcuXMBqfz2t7/Fli1bsGPHDuzYsWPSPVX81tJFixZh8eLFMAwjUCr29b98Upmp+l/JZBJ79+4tuQH3x5PYd/QUDh0/XbRG4utrFcP8lka8/9axdTwRQqBpWhCppNNp1NTUBAZT/j1Np9PYs2cPFixYgCVLlozpOXLx4osv4vd+7/fwzW9+Ex/+8IcrJPImx4wkkkpqa2bB91TZtWsXdu3ahZdeegnr168P5O/9k/d44avHLl++vGBrqa//5TvsRaPRgFRmineK39k02npC1rRw+GQH2o+cxECOWCQtxAslC/HXbFo7YUtdwzCCe+prqlVVVaGrqwvz58/H0qVLx33tV155BXfeeSf++Z//Gf/rf/2vCom8BTAjiQSgxfYrrrgC//Iv/wKA5n4XLFiA++67r1Jsn0YQQtDT0xN4quzevRuXX355QCorVqwY08bhp7NWrVo1KvVY0zSDDXBgYCCwbfWlWqYDfjQ1nvZYQgjOdfai/cgJnDzXCZHnkC1BIgBw9/YbMKdx8myQTdPEhQsXcPo0lbPPlb+JRCJjej9/97vfYefOnfjiF7+IP/zDP6yQyFsEM5ZIfvazn+Gee+7Bd77zHVxxxRX4xje+gf/+7//G0aNHx+Q7UcHUgRCCgYGBPE+VZcuWBfL3q1atKtkx1NnZiaNHj45btsXX/+rt7UV/fz8URUFjYyOampoumf6Xr4A7EckQH4mUhkPHz6D9aHGPFFkU8Yd375jUTjZN07Bnzx7MnTsXCxcuDDrAYrGYJ+cyOqWCvXv3Yvv27fibv/kb/Mmf/EmFRN5CmLFEAgD3339/MJC4YcMGfPOb38SVV1453cuqoAD8wq7vqfL0009j3rx5AamsX78+b/M7deoUzp49iw0bNqC2tnbCz+/rf/kboCiKAalMlf6Xn5KbiHhhIVi2jWNnzmPfkZPo6hvI+93yRfOw851vm7Tn0jQNbW1taGlpwbJly/Lu03ArXABBTWX4UOmBAwdw22234c///M/x6U9/ukIibzHMaCKpYPYilUrhiSeewEMPPYRf/epXqK+vxx133IEdO3bg4Ycfxuuvv46HH34YVVVVk/7cheYqcqVaJmOT861lJ2LoNBp09fWj/Y2TOHbmPGzHwQ1Xb8LGy5dNyrV1XceePXvQ3NyM5cuXl7wvrusiHo8HEaBlWTh48CDC4TDWrFmD973vfbjvvvvwuc99btpI5Mtf/jJ27dqFo0ePQlEUXH311fjHf/xHrFixYlrW81ZChUjK4MUXX8RXv/pVtLW1oaurCw8//HBeA0AF5aFpWuCp8sgjj4Dnebz3ve/FBz7wAVx11VVTOrXuum5wqu7t7QXDMGhoaEBTU9O4h/V8Of6JWMuOFXomi4PHTmPF4vmojk68FqTrOtra2tDY2IjLLrtsTJs/IQSpVAr3338//vM//xMXL17E4sWL8elPfxo7duxAQ0PDhNc3Htx88814//vfjy1btsC2bfzlX/4lDh06hDfeeGPa/HPeKqgQSRk8+eSTePnll7Fp0ybceeedFSIZJxzHwSc+8Qk89dRT+Mu//Eu8+uqreOyxxyBJErZv346dO3eOylNlIvBP1f4ApD+s19TUhNra2lERWk9PDw4dOoS1a9fOWqkewzCwZ8+ecZFILk6ePIlbbrkFt9xyC5YtW4aHH34YbW1t+JM/+RN89atfneRVjx19fX1obGzECy+8MGNVht8sqBDJGMAwTIVIxonvf//7+D//5//g17/+dVCUNk0Tzz33XBCpAAg8Vd7xjndM6RCiX9PxZ1Usy8qTailEKl1dXThy5AjWrl07bafuicInkYaGhjF32OWio6MDN998M3bu3IlvfOMbQWR38eJFDA4OzgjL3JMnT2L58uU4ePDgjFjPmxkVIhkDKkQyfjiOg2QyWdQPxbZtvPjii4GnSiaTwe23344dO3bg+uuvn9IhRD9V40cq/gR4Y2Mj6uvrIQhC0GG2fv16Tztr9iGTyWDPnj2oq6vDypUrx00i58+fx0033YSbb74Z//Zv/zYjtdBc18Udd9yBeDyOl156abqX86ZHhUjGgAqRXBo4joOXX34ZDz74IB555BEkEong9Puud71rSocQ/QlwP1LRNA2qqkLXdaxbt27WprN8EqmtrcXll18+bhLp6urCTTfdhGuvvRbf+973Zqwq8yc+8Qk8+eSTeOmllybcll1BeVSIZAyoEMmlh+u6eO211wKjrt7eXtx4443YuXMnbrrppin1VAFom3JHRwdkWYZhGIGsSGNj47Q5NY4VmUwGbW1tqKmpmRCJ9PT04JZbbsGWLVvwwAMPzFgSue+++/Doo4/ixRdfnJBWWAWjR4VIxoAKkUwvXNfF3r17A/n78+fP44YbbsDOnTtx6623Tvq8yNmzZ3H69Gls3LgR1dXVI2RFqqqqAlK5lB7yY0E2m8WePXtQXV09ITXlvr4+3HbbbVi9ejV+8pOfzEiTMUIIPvnJT+Lhhx/G7t27sXz58ule0lsGFSIZAypEMnPgum6ep8qJEydw/fXXY8eOHZPiqXLmzBl0dHSgtbW14KxLNpsNSGVwcBCRSCQglZnSaprNZtHW1hb4uoz3fgwMDODWW2/F0qVL8d///d8zxu54OP6//+//w09/+lM8+uijebMjVVVVM5bo3yyoEEkZpNNpnDx5EgCwceNGfO1rX8O2bdtQW1s7btvRCiYXhBAcPXo0IJVDhw7hHe94R+Cp0tDQMKZN9NSpUzh//jw2bdo0qtSZaZp5Ui2+VlVTU9OUWuCWW9OePXsmTCLxeBzbt29HS0sLdu3aNaPl/Iu9xh/+8If48Ic/fGkX8xZDhUjKYPfu3di2baRk9z333IMHHnjg0i+ogpLwPVV8Umlvb8/zVGlpaSm64fh/e/HiRWzatGlcIpCWZeVJtciyHJDKWAUQxwufRCKRCNasWTPu50wmk9i5cyeqqqrw6KOPzlj5/gqmHxUiqeBNC0IIzp49i4ceeggPP/wwfvvb3+KKK64IPFXmz58fbLKu6+LYsWPo7e3F5s2bJyU95TgOYrEYenp68gQQm5qaJtVXPRemaaKtrQ2hUAhr1qwZd2tuOp3GnXfeCVEU8cQTT1RSQxWURIVIKnhLgBCCixcvBp4qL7/8MjZs2ICdO3di+/bt+PKXv4xsNovvfve7U9JenCuA2Nvbm6f/VV1dPSmzGD6JqKqKtWvXjvuauq7jve99LwgheOKJJ6ZNnr+C2YMKkcwiVETpJge+p8rDDz+Mhx56CC+//DJCoRDuuece/I//8T8mJBsyGvi+6j09Pejr6wMhJCCV2tracRGAZVloa2uDoigTIpFMJoO77ror0EeLRqPjuk4Fby1UiGQWoSJKN7lwHAf/83/+T+zevRuf+MQnsHv3bjz77LNYvnw57rjjDrz73e/G5ZdfPqWT24QQxOPxYADScRw0NDSgsbERdXV1o5rV8ElElmWsW7du3OvNZrO4++67EYvF8PTTT6O6unpc16ngrYcKkcxiVETpJoZ/+qd/wg9+8AM8++yzmDt3bqC/9dhjjwWeKgsWLAhIZSKb9GhACEEymQxIxTTNPKmWQrMblmVh7969EEVxhOfLWGCaJj70oQ/h/PnzePbZZyfFI6aCtw4qRDKLURGlmxjS6TQ0TSvquJlMJvM8VRobGwNS2bRp05STSjqdDkjFMAzU1dUFxlKCIMC2bezduxeCIEyIRCzLwkc+8hEcO3YMzz333KwVpKxg+lAhklmKiijdpYWmaXjyySexa9cuPPHEE6iqqsIdd9yBnTt34sorr5xyuZB0Oh0U6tPpNGpqamAYBmRZxsaNG8f9/LZt42Mf+xj279+P559/vmJjXcG4UCGSWYqKKN30wTAMPP3009i1axd+8YtfQJblPE+VqZYPSaVS2LdvH2zbhuM4qK6uDor1Y5n1cBwH9913H1599VXs3r0bc+bMmcJVV/BmRoVIZiEqonQzB6Zp4plnnsGuXbvw6KOPgmEY3HbbbXj3u9+Na6+9dtInwW3bRnt7O1iWxYYNG2BZViB/n0gkEI1Gg1mVUrMfruvij//4j/H888/j+eefr6g0VDAhVIhkFqEiSjezYVlW4Kny6KOPIpvN4rbbbsPOnTuxbdu2CU+GO46D9vZ2MAyDDRs2jEhnZbNZ9PX1oaenB4ODgwiHw2hqahqh/+W6Lv7iL/4CTzzxBHbv3l05jFQwYVSIZBahIko3e+A4Dl566aXAUyWZTOKWW27Bzp07ccMNN4x56NEnEQCjqolYlhWQSn9/PxiGwZNPPon3vOc9ePTRR7Fr1y48//zz034YefHFF/HVr34VbW1t6OrqqoiizlJUiGQWoSJKNzvhui5++9vfBqTS19eX56lSbnLccRzs27cPruuitbV1zIV127Zx8OBB/M3f/A1eeeUVAMAHP/hBfPSjH8XmzZunRVTSx5NPPomXX34ZmzZtwp133lkhklmKCpFUUMElhOu6aGtrw0MPPYRdu3bhwoULuOGGG7Bjx46CniqO42D//v1wHAcbN24cdyGfEIIvf/nL+MEPfoC/+Iu/wJ49e/CLX/wC1dXV+OUvf4nVq1dP1kscNyo2DbMXFSKpoIJpguu6OHDgQEAqJ0+exDvf+U7ccccduP322yGKIj760Y/i7rvvxk033TQhEvna176Gb3zjG3juueewfv16ALSm8uyzz2Lbtm0zIjVaIZLZi6mbqKrgLYFvfetbWLduHaLRKKLRKLZu3Yonn3xyupc1K+B3Xv393/89Dh06hPb2dlx11VX49re/jcWLF+Pqq6/G4cOHcdlll417ToQQgn/5l3/B17/+dTz11FMBiQCAJEm49dZbZwSJVDC7USGSCiaEefPm4Stf+Qra2tqwZ8+ewKXw8OHD0720WQWGYbBq1Sp87nOfw2uvvYZrr70W2WwWdXV12Lx5M2699VZ85zvfQVdXF0abRCCE4Dvf+Q6+8pWv4Je//CU2b948xa+igrcqKkRSwYSwfft23HrrrVi+fDkuu+wyfOlLX0I4HMZvf/vb6V7arITjOLjrrruQSCRw8OBBvPrqqzh+/Di2b9+OBx98ECtWrMCNN96I+++/H+fPny9KKoQQ/PCHP8TnP/95/OIXv8BVV111iV9JBW8lVIikgkmD4zj4r//6L2iahq1bt073cmYlOI7D9u3bA/VdhmGwePFifOpTn8JLL72EM2fO4H3vex+eeOIJrF69Gtu2bcM3vvENnDlzJiAVQgj+8z//E5/97Gfx2GOP4e1vf/s0v6oK3uyoFNsrmDAOHjyIrVu3IpPJIBwO46c//SluvfXW6V7WmxqEEHR3d+Phhx/Grl278MILL2DNmjXYsWMHJEnCl770JezatQs33njjdC+1JNLpNE6ePAmAzsd87Wtfw7Zt21BbW1uZtp9FqBBJBROGaZo4d+4cEokEHnzwQXz/+9/HCy+8gFWrVk330t4SIISgv78fjz76KH7605/iueeew49//GPcfffd0720sti9eze2bds24uf33HMPHnjggUu/oArGhQqRVDDpuOGGG7B06VJ85zvfme6lvOXgWwpXhDwruJSo1EgqmHS4rotsNjvdy3hLgmGYColUcMkxtXrXFbzp8dnPfha33HILFixYgFQqhZ/+9KfYvXs3nnrqqeleWgUVVHCJUCGSCiaE3t5efOhDH0JXVxeqqqqwbt06PPXUU3jXu9413UuroIIKLhEqNZIKKqigggomhEqNpIIKKqigggmhQiQVVFBBBRVMCBUiqeBNja985StgGAZ//Md/PN1LqaCCNy0qRFLBmxavv/46vvOd72DdunXTvZQKKnhTo0IkFbwpkU6ncffdd+N73/seampqpns5FVTwpkaFSCp4U+IP//APcdttt+GGG26Y7qVUUMGbHhUiqeBNh//6r//C3r178eUvf3m6l/Kmxb/+679i0aJFkGUZV155JX73u99N95IqmEZUiKSCNxXOnz+PP/qjP8JPfvITyLI83ct5U+JnP/sZ/vRP/xR/+7d/i71792L9+vW46aab0NvbO91Lq2CaUBlIrOBNhUceeQTvfve786xpHccBwzBgWRbZbHbctrUVUFx55ZXYsmUL7r//fgBUW23+/Pn45Cc/ic985jPTvLoKpgMViZQK3lR45zvfiYMHD+b97N5778XKlSvx6U9/ukIiE4Rpmmhra8NnP/vZ4Gcsy+KGG27Aq6++Oo0rq2A6USGSCt5UiEQiWLNmTd7PQqEQ6urqRvy8grEjFovBcRw0NTXl/bypqQlHjx6dplVVMN2o1EgqqKCCCiqYECoRSQVveuzevXu6l/CmQX19PTiOQ09PT97Pe3p60NzcPE2rqmC6UYlIKqigglFDFEVs2rQJzz77bPAz13Xx7LPPYuvWrdO4sgqmExUiqaCCS4DPf/7zYBgm75+VK1dO97LGhT/90z/F9773PfzoRz/CkSNH8IlPfAKapuHee++d7qVVME2opLYqqOASYfXq1XjmmWeC/+f52fn1u+uuu9DX14fPfe5z6O7uxoYNG/CrX/1qRAG+grcOZucnuYIKZiF4nn/T1BHuu+8+3HfffdO9jApmCCqprQoquEQ4ceIE5syZgyVLluDuu+/GuXPnpntJFVQwKahMtldQwSXAk08+iXQ6jRUrVqCrqwtf+MIXcPHiRRw6dAiRSGS6l1dBBRNChUgqqGAaEI/HsXDhQnzta1/DRz7ykeleTgUVTAiV1FYFFUwDqqurcdlll+HkyZPTvZQKKpgwKkRSQQXTgHQ6jVOnTqGlpWW6l1JBBRNGhUgqqOAS4FOf+hReeOEFdHR04JVXXgkUij/wgQ9M99IqqGDCqLT/VlDBJcCFCxfwgQ98AP39/WhoaMA111yD3/72t2hoaJjupVVQwYRRKbZXUEEFFVQwIVRSWxVUUEEFFUwIFSKpoIIKKqhgQqgQSQUVVFBBBRNChUgqqKCCCiqYECpEUkEFFVRQwYRQIZIKKqigggomhAqRVFBBBRVUMCFUiKSCCiqooIIJoUIkFVRQQQUVTAgVIqmgggoqqGBCqBBJBRVUUEEFE0KFSCqooIIKKpgQ/n9RhP8vzxVquAAAAABJRU5ErkJggg=="
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "log((S2 / S1))\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": "array([[0.        ],\n       [1.82624565],\n       [2.43545837],\n       [2.81130323],\n       [3.08383954]])"
+     },
+     "execution_count": 31,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# initialize model\n",
+    "# hyper parameters\n",
+    "\n",
+    "prior_par = {\n",
+    "    \"Nopi_/\": 5.912205942815285,\n",
+    "    \"Nopi_cosh\": 8.12720511103694,\n",
+    "    \"Nopi_-\": 3.350846072163632,\n",
+    "    \"Nopi_sin\": 5.965917796154835,\n",
+    "    \"Nopi_tan\": 8.127427922862411,\n",
+    "    \"Nopi_tanh\": 7.799259068142255,\n",
+    "    \"Nopi_**\": 6.4734429542245495,\n",
+    "    \"Nopi_pow2\": 3.3017352779079734,\n",
+    "    \"Nopi_pow3\": 5.9907496760026175,\n",
+    "    \"Nopi_exp\": 4.768665265735502,\n",
+    "    \"Nopi_log\": 4.745957377206544,\n",
+    "    \"Nopi_sqrt\": 4.760686909134266,\n",
+    "    \"Nopi_cos\": 5.452564657261127,\n",
+    "    \"Nopi_sinh\": 7.955723540761046,\n",
+    "    \"Nopi_abs\": 6.333544134938385,\n",
+    "    \"Nopi_+\": 5.808163661224514,\n",
+    "    \"Nopi_*\": 5.002213595420244,\n",
+    "    \"Nopi_fac\": 10.0,\n",
+    "    \"Nopi2_*\": 1.0,\n",
+    "    \"Nopi_sig\": 1.0,\n",
+    "    \"Nopi_relu\": 1.0,\n",
+    "}\n",
+    "\n",
+    "# temperatures\n",
+    "ts = [1.0] + [1.04**k for k in range(1, 20)]\n",
+    "\n",
+    "# epoch num\n",
+    "epochs = 1500\n",
+    "\n",
+    "# fit model\n",
+    "estimator = BMSRegressor(prior_par, ts, epochs)\n",
+    "estimator = estimator.fit(X, y)\n",
+    "\n",
+    "# model estimate\n",
+    "show_results(\n",
+    "    estimator=estimator, label=\"BMS Regressor\"\n",
+    ")\n",
+    "print(estimator.model_)\n",
+    "\n",
+    "# model prediction\n",
+    "test_x = X.head()\n",
+    "estimator.predict(test_x)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "id": "375b5b94",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Best model:\t log((S2 / S1))\n",
+      "Desc. length:\t -659.941451339323\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": "<Figure size 1500x500 with 1 Axes>",
+      "image/png": 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"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "estimator.present_results()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "outputs": [],
+   "source": [],
+   "metadata": {
+    "collapsed": false
+   }
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.13"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/docs/theorist/bsr/bsr.ipynb b/docs/theorist/bsr/bsr.ipynb
index 406678431..651d16d29 100644
--- a/docs/theorist/bsr/bsr.ipynb
+++ b/docs/theorist/bsr/bsr.ipynb
@@ -57,6 +57,18 @@
     "collapsed": false
    }
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "outputs": [],
+   "source": [
+    "# Uncomment the following line when running on Google Colab\n",
+    "# !pip install autora"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
   {
    "cell_type": "code",
    "execution_count": 28,
@@ -71,12 +83,11 @@
     }
    ],
    "source": [
-    "from autora_bsr.skl.bsr import BSRRegressor\n",
+    "from autora.skl.bsr import BSRRegressor\n",
     "import numpy as np\n",
     "import matplotlib.pyplot as plt\n",
     "\n",
     "x = np.expand_dims(np.linspace(start=-1, stop=1, num=500), 1)\n",
-    "# y = x^3 + sin(x)\n",
     "y = np.power(x, 3) + np.sin(x)\n",
     "\n",
     "# initialize regressor\n",
@@ -100,7 +111,7 @@
     "<br>\n",
     "\n",
     "## References\n",
-    "Jin, Ying, et al. \"Bayesian symbolic regression.\" arXiv preprint arXiv:1910.08892 (2019)."
+    "Jin, Ying, et al. \"Bayesian symbolic regression.\" arXiv preprint arXiv:1910.08892 (2019).\n"
    ],
    "metadata": {
     "collapsed": false
diff --git a/docs/theorist/bsr/example.md b/docs/theorist/bsr/example.md
deleted file mode 100644
index c64c48d31..000000000
--- a/docs/theorist/bsr/example.md
+++ /dev/null
@@ -1,28 +0,0 @@
-# Bayesian Symbolic Regression
-
-## Example
-
-The following toy example shows out-of-the-box functionality of BSR. It first generates data using the equation, $y = \sin(x) + x^3$, as ground-truth, and then fits the data with default meta-parameters. For ease and efficiency of illustration, it applies a small number of iterations, `itr_num`. As displayed in the plot below, the algorithm provides results that are not only reasonable, but exactly match the ground-truth equation.
-
-```python
-from autora_bsr.skl.bsr import BSRRegressor
-import numpy as np
-import matplotlib.pyplot as plt
-
-x = np.expand_dims(np.linspace(start=-1, stop=1, num=500), 1)
-# y = x^3 + sin(x)
-y = np.power(x, 3) + np.sin(x)
-
-# initialize regressor
-bsr = BSRRegressor(itr_num = 500)
-bsr.fit(x, y)
-y_pred = bsr.predict(x)
-
-# plot out the ground truth versus predicted responses
-plt.figure()
-plt.plot(x, y, "o")
-plt.plot(x, y_pred, "-")
-plt.show()
-```
-
-![img.png](img.png)
diff --git a/docs/theorist/darts/example.ipynb b/docs/theorist/darts/example.ipynb
new file mode 100644
index 000000000..a79322552
--- /dev/null
+++ b/docs/theorist/darts/example.ipynb
@@ -0,0 +1,342 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "source": [
+    "# Differentiable Architecture Search\n",
+    "\n",
+    "## Example"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "outputs": [],
+   "source": [
+    "# Uncomment the following line when running on Google Colab\n",
+    "# !pip install autora"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "Let's generate a simple data set with two features $x_1, x_2 \\in [0, 1]$ and a target $y$. We will use the following generative model:\n",
+    "$y = 2 x_1 - e^{(5 x_2)}$"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "\n",
+    "x_1 = np.linspace(0, 1, num=10)\n",
+    "x_2 = np.linspace(0, 1, num=10)\n",
+    "X = np.array(np.meshgrid(x_1, x_2)).T.reshape(-1,2)\n",
+    "\n",
+    "y = 2 * X[:,0] + np.exp(5 * X[:,1])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "Now let us define the search space, that is, the space of operations to consider when searching over the space of computation graphs."
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "outputs": [],
+   "source": [
+    "primitives = [\n",
+    "    \"none\",\n",
+    "    \"add\",\n",
+    "    \"subtract\",\n",
+    "    'mult',\n",
+    "    \"logistic\",\n",
+    "    'exp',\n",
+    "    'relu',\n",
+    "]"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "## Set up the DARTS Regressor\n",
+    "\n",
+    "We will use the DARTS Regressor to predict the outcomes. There are a number of parameters that determine how the architecture search is performed. The most important ones are listed below:\n",
+    "\n",
+    "- **num_graph_nodes**: The number of latent variables used to represent the model.\n",
+    "- **arch_updates_per_epoch**: The number of architecture updates per training epoch. These updates affect the architecture weights $\\alpha$ indicating the relative contribution of each operation for a given computation step.\n",
+    "- **arch_learning_rate_max**: The initial learning rate of the architecture weight optimizer.\n",
+    "- **param_updates_per_epoch**: The number of parameter updates per epoch. Once the architecture updates are complete, the parameters associated with each operation are updated.\n",
+    "- **param_momentum**: The momentum of the parameter optimizer.\n",
+    "- **max_epochs**: The maximum number of epochs to run DARTS.\n",
+    "- **output_type**: The type of output to produce. In our case, we treat the outcome as a real variable, i.e., \"real\".\n",
+    "\n",
+    "\n",
+    "Let's set up the DARTS regressor with some default parameters.\n"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "outputs": [],
+   "source": [
+    "from autora.skl.darts import DARTSRegressor\n",
+    "\n",
+    "darts_estimator = DARTSRegressor(\n",
+    "    num_graph_nodes=1,\n",
+    "    arch_updates_per_epoch=1,\n",
+    "    arch_learning_rate_max=0.001,\n",
+    "    param_updates_per_epoch=500,\n",
+    "    param_momentum=0.9,\n",
+    "    max_epochs=300,\n",
+    "    output_type=\"real\",\n",
+    "    primitives=primitives,\n",
+    ")"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "Now we have everything to run differentiable architecture search and visualize the model resulting from the highest architecture weights. Note that the current model corresponds to the model with the highest architecture weights."
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "  0%|          | 0/300 [00:00<?, ?it/s]",
+      "application/vnd.jupyter.widget-view+json": {
+       "version_major": 2,
+       "version_minor": 0,
+       "model_id": "043e427f334d4dfdae25ba43b07c8e37"
+      }
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"UTF-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<!-- Generated by graphviz version 7.1.0 (20230121.1956)\n -->\n<!-- Pages: 1 -->\n<svg width=\"506pt\" height=\"98pt\"\n viewBox=\"0.00 0.00 506.00 98.00\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n<g id=\"graph0\" class=\"graph\" transform=\"scale(1 1) rotate(0) translate(4 94)\">\n<polygon fill=\"white\" stroke=\"none\" points=\"-4,4 -4,-94 502,-94 502,4 -4,4\"/>\n<!-- x1 -->\n<g id=\"node1\" class=\"node\">\n<title>x1</title>\n<polygon fill=\"#f1edb9\" stroke=\"black\" stroke-width=\"2\" points=\"38,-90 0,-90 0,-54 38,-54 38,-90\"/>\n<text text-anchor=\"middle\" x=\"19\" y=\"-67\" font-family=\"times\" font-size=\"20.00\">x1</text>\n</g>\n<!-- k1 -->\n<g id=\"node3\" class=\"node\">\n<title>k1</title>\n<polygon fill=\"#bbccf9\" stroke=\"black\" stroke-width=\"2\" points=\"168,-63 130,-63 130,-27 168,-27 168,-63\"/>\n<text text-anchor=\"middle\" x=\"149\" y=\"-40\" font-family=\"times\" font-size=\"20.00\">k1</text>\n</g>\n<!-- x1&#45;&gt;k1 -->\n<g id=\"edge1\" class=\"edge\">\n<title>x1&#45;&gt;k1</title>\n<path fill=\"none\" stroke=\"black\" d=\"M38.89,-68.02C59.68,-63.63 93.41,-56.51 117.87,-51.36\"/>\n<polygon fill=\"gray\" stroke=\"black\" points=\"118.49,-54.8 127.55,-49.31 117.05,-47.95 118.49,-54.8\"/>\n<text text-anchor=\"middle\" x=\"84\" y=\"-70\" font-family=\"times\" font-size=\"20.00\">exp(x)</text>\n</g>\n<!-- x2 -->\n<g id=\"node2\" class=\"node\">\n<title>x2</title>\n<polygon fill=\"#f1edb9\" stroke=\"black\" stroke-width=\"2\" points=\"38,-36 0,-36 0,0 38,0 38,-36\"/>\n<text text-anchor=\"middle\" x=\"19\" y=\"-13\" font-family=\"times\" font-size=\"20.00\">x2</text>\n</g>\n<!-- x2&#45;&gt;k1 -->\n<g id=\"edge2\" class=\"edge\">\n<title>x2&#45;&gt;k1</title>\n<path fill=\"none\" stroke=\"black\" d=\"M38.73,-17.48C57.61,-17.44 87.39,-18.76 112,-26 114.28,-26.67 116.58,-27.49 118.85,-28.41\"/>\n<polygon fill=\"gray\" stroke=\"black\" points=\"117.26,-31.53 127.8,-32.62 120.24,-25.2 117.26,-31.53\"/>\n<text text-anchor=\"middle\" x=\"84\" y=\"-32\" font-family=\"times\" font-size=\"20.00\">exp(x)</text>\n</g>\n<!-- P(detected) = (x + 0.00) -->\n<g id=\"node4\" class=\"node\">\n<title>P(detected) = (x + 0.00)</title>\n<polygon fill=\"#cbe7c7\" stroke=\"black\" stroke-width=\"2\" points=\"498,-63 271,-63 271,-27 498,-27 498,-63\"/>\n<text text-anchor=\"middle\" x=\"384.5\" y=\"-40\" font-family=\"times\" font-size=\"20.00\">P(detected) = (x + 0.00)</text>\n</g>\n<!-- k1&#45;&gt;P(detected) = (x + 0.00) -->\n<g id=\"edge3\" class=\"edge\">\n<title>k1&#45;&gt;P(detected) = (x + 0.00)</title>\n<path fill=\"none\" stroke=\"black\" d=\"M168.71,-45C189.03,-45 223.31,-45 258.59,-45\"/>\n<polygon fill=\"gray\" stroke=\"black\" points=\"258.55,-48.5 268.55,-45 258.55,-41.5 258.55,-48.5\"/>\n<text text-anchor=\"middle\" x=\"219.5\" y=\"-51\" font-family=\"times\" font-size=\"20.00\">1.00 * x</text>\n</g>\n</g>\n</svg>\n",
+      "text/plain": "<graphviz.graphs.Digraph at 0x288b726d0>"
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "darts_estimator.fit(X, y)\n",
+    "darts_estimator.visualize_model()"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "We can refine the fit by running the `fit` method again, after changing the parameters. This allows us to keep the same architecture but refit the parameters in the final sampled model, for example:"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "0it [00:00, ?it/s]",
+      "application/vnd.jupyter.widget-view+json": {
+       "version_major": 2,
+       "version_minor": 0,
+       "model_id": "bece0e3dc61b41cca6eae1d70d0af091"
+      }
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
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+      "text/plain": "<graphviz.graphs.Digraph at 0x174355df0>"
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "darts_estimator.set_params(\n",
+    "    max_epochs=0,  # no epochs of architecture fitting\n",
+    "    param_updates_for_sampled_model=1000,  # 1000 steps of param optimiziation\n",
+    ")\n",
+    "darts_estimator.fit(X, y)\n",
+    "darts_estimator.visualize_model()"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "We can also change how the model is sampled from the architecture weight distribution:"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "0it [00:00, ?it/s]",
+      "application/vnd.jupyter.widget-view+json": {
+       "version_major": 2,
+       "version_minor": 0,
+       "model_id": "c7be110e32954ed092c008d024a309b3"
+      }
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"UTF-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<!-- Generated by graphviz version 7.1.0 (20230121.1956)\n -->\n<!-- Pages: 1 -->\n<svg width=\"529pt\" height=\"98pt\"\n viewBox=\"0.00 0.00 529.00 98.00\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n<g id=\"graph0\" class=\"graph\" transform=\"scale(1 1) rotate(0) translate(4 94)\">\n<polygon fill=\"white\" stroke=\"none\" points=\"-4,4 -4,-94 525,-94 525,4 -4,4\"/>\n<!-- x1 -->\n<g id=\"node1\" class=\"node\">\n<title>x1</title>\n<polygon fill=\"#f1edb9\" stroke=\"black\" stroke-width=\"2\" points=\"38,-90 0,-90 0,-54 38,-54 38,-90\"/>\n<text text-anchor=\"middle\" x=\"19\" y=\"-67\" font-family=\"times\" font-size=\"20.00\">x1</text>\n</g>\n<!-- k1 -->\n<g id=\"node3\" class=\"node\">\n<title>k1</title>\n<polygon fill=\"#bbccf9\" stroke=\"black\" stroke-width=\"2\" points=\"191,-63 153,-63 153,-27 191,-27 191,-63\"/>\n<text text-anchor=\"middle\" x=\"172\" y=\"-40\" font-family=\"times\" font-size=\"20.00\">k1</text>\n</g>\n<!-- x1&#45;&gt;k1 -->\n<g id=\"edge1\" class=\"edge\">\n<title>x1&#45;&gt;k1</title>\n<path fill=\"none\" stroke=\"black\" d=\"M38.82,-68.64C64.5,-64.04 110.81,-55.76 141.23,-50.32\"/>\n<polygon fill=\"gray\" stroke=\"black\" points=\"141.7,-53.79 150.93,-48.59 140.47,-46.9 141.7,-53.79\"/>\n<text text-anchor=\"middle\" x=\"95.5\" y=\"-71\" font-family=\"times\" font-size=\"20.00\">47.75 * x</text>\n</g>\n<!-- x2 -->\n<g id=\"node2\" class=\"node\">\n<title>x2</title>\n<polygon fill=\"#f1edb9\" stroke=\"black\" stroke-width=\"2\" points=\"38,-36 0,-36 0,0 38,0 38,-36\"/>\n<text text-anchor=\"middle\" x=\"19\" y=\"-13\" font-family=\"times\" font-size=\"20.00\">x2</text>\n</g>\n<!-- x2&#45;&gt;k1 -->\n<g id=\"edge2\" class=\"edge\">\n<title>x2&#45;&gt;k1</title>\n<path fill=\"none\" stroke=\"black\" d=\"M38.76,-16.63C61.89,-15.51 102.17,-15.42 135,-25 137.4,-25.7 139.81,-26.58 142.19,-27.58\"/>\n<polygon fill=\"gray\" stroke=\"black\" points=\"140.39,-30.6 150.91,-31.87 143.48,-24.31 140.39,-30.6\"/>\n<text text-anchor=\"middle\" x=\"95.5\" y=\"-31\" font-family=\"times\" font-size=\"20.00\">ReLU(x)</text>\n</g>\n<!-- P(detected) = (x + 0.00) -->\n<g id=\"node4\" class=\"node\">\n<title>P(detected) = (x + 0.00)</title>\n<polygon fill=\"#cbe7c7\" stroke=\"black\" stroke-width=\"2\" points=\"521,-63 294,-63 294,-27 521,-27 521,-63\"/>\n<text text-anchor=\"middle\" x=\"407.5\" y=\"-40\" font-family=\"times\" font-size=\"20.00\">P(detected) = (x + 0.00)</text>\n</g>\n<!-- k1&#45;&gt;P(detected) = (x + 0.00) -->\n<g id=\"edge3\" class=\"edge\">\n<title>k1&#45;&gt;P(detected) = (x + 0.00)</title>\n<path fill=\"none\" stroke=\"black\" d=\"M191.71,-45C212.03,-45 246.31,-45 281.59,-45\"/>\n<polygon fill=\"gray\" stroke=\"black\" points=\"281.55,-48.5 291.55,-45 281.55,-41.5 281.55,-48.5\"/>\n<text text-anchor=\"middle\" x=\"242.5\" y=\"-51\" font-family=\"times\" font-size=\"20.00\">1.00 * x</text>\n</g>\n</g>\n</svg>\n",
+      "text/plain": "<graphviz.graphs.Digraph at 0x1746b7dc0>"
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "darts_estimator.set_params(\n",
+    "    max_epochs=0,  # no epochs of architecture fitting\n",
+    "    sampling_strategy=\"sample\",  # overriding default \"max\"\n",
+    "    param_updates_for_sampled_model=800,\n",
+    ")\n",
+    "darts_estimator.fit(X, y)\n",
+    "darts_estimator.visualize_model()"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "To recover the initial model, we need to return the sampling strategy to the default `\"max\"`:"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "0it [00:00, ?it/s]",
+      "application/vnd.jupyter.widget-view+json": {
+       "version_major": 2,
+       "version_minor": 0,
+       "model_id": "4f4026df6f5e4934905010e90bc42fc8"
+      }
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"UTF-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<!-- Generated by graphviz version 7.1.0 (20230121.1956)\n -->\n<!-- Pages: 1 -->\n<svg width=\"506pt\" height=\"98pt\"\n viewBox=\"0.00 0.00 506.00 98.00\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n<g id=\"graph0\" class=\"graph\" transform=\"scale(1 1) rotate(0) translate(4 94)\">\n<polygon fill=\"white\" stroke=\"none\" points=\"-4,4 -4,-94 502,-94 502,4 -4,4\"/>\n<!-- x1 -->\n<g id=\"node1\" class=\"node\">\n<title>x1</title>\n<polygon fill=\"#f1edb9\" stroke=\"black\" stroke-width=\"2\" points=\"38,-90 0,-90 0,-54 38,-54 38,-90\"/>\n<text text-anchor=\"middle\" x=\"19\" y=\"-67\" font-family=\"times\" font-size=\"20.00\">x1</text>\n</g>\n<!-- k1 -->\n<g id=\"node3\" class=\"node\">\n<title>k1</title>\n<polygon fill=\"#bbccf9\" stroke=\"black\" stroke-width=\"2\" points=\"168,-63 130,-63 130,-27 168,-27 168,-63\"/>\n<text text-anchor=\"middle\" x=\"149\" y=\"-40\" font-family=\"times\" font-size=\"20.00\">k1</text>\n</g>\n<!-- x1&#45;&gt;k1 -->\n<g id=\"edge1\" class=\"edge\">\n<title>x1&#45;&gt;k1</title>\n<path fill=\"none\" stroke=\"black\" d=\"M38.89,-68.02C59.68,-63.63 93.41,-56.51 117.87,-51.36\"/>\n<polygon fill=\"gray\" stroke=\"black\" points=\"118.49,-54.8 127.55,-49.31 117.05,-47.95 118.49,-54.8\"/>\n<text text-anchor=\"middle\" x=\"84\" y=\"-70\" font-family=\"times\" font-size=\"20.00\">exp(x)</text>\n</g>\n<!-- x2 -->\n<g id=\"node2\" class=\"node\">\n<title>x2</title>\n<polygon fill=\"#f1edb9\" stroke=\"black\" stroke-width=\"2\" points=\"38,-36 0,-36 0,0 38,0 38,-36\"/>\n<text text-anchor=\"middle\" x=\"19\" y=\"-13\" font-family=\"times\" font-size=\"20.00\">x2</text>\n</g>\n<!-- x2&#45;&gt;k1 -->\n<g id=\"edge2\" class=\"edge\">\n<title>x2&#45;&gt;k1</title>\n<path fill=\"none\" stroke=\"black\" d=\"M38.73,-17.48C57.61,-17.44 87.39,-18.76 112,-26 114.28,-26.67 116.58,-27.49 118.85,-28.41\"/>\n<polygon fill=\"gray\" stroke=\"black\" points=\"117.26,-31.53 127.8,-32.62 120.24,-25.2 117.26,-31.53\"/>\n<text text-anchor=\"middle\" x=\"84\" y=\"-32\" font-family=\"times\" font-size=\"20.00\">exp(x)</text>\n</g>\n<!-- P(detected) = (x + 0.00) -->\n<g id=\"node4\" class=\"node\">\n<title>P(detected) = (x + 0.00)</title>\n<polygon fill=\"#cbe7c7\" stroke=\"black\" stroke-width=\"2\" points=\"498,-63 271,-63 271,-27 498,-27 498,-63\"/>\n<text text-anchor=\"middle\" x=\"384.5\" y=\"-40\" font-family=\"times\" font-size=\"20.00\">P(detected) = (x + 0.00)</text>\n</g>\n<!-- k1&#45;&gt;P(detected) = (x + 0.00) -->\n<g id=\"edge3\" class=\"edge\">\n<title>k1&#45;&gt;P(detected) = (x + 0.00)</title>\n<path fill=\"none\" stroke=\"black\" d=\"M168.71,-45C189.03,-45 223.31,-45 258.59,-45\"/>\n<polygon fill=\"gray\" stroke=\"black\" points=\"258.55,-48.5 268.55,-45 258.55,-41.5 258.55,-48.5\"/>\n<text text-anchor=\"middle\" x=\"219.5\" y=\"-51\" font-family=\"times\" font-size=\"20.00\">1.00 * x</text>\n</g>\n</g>\n</svg>\n",
+      "text/plain": "<graphviz.graphs.Digraph at 0x119bba670>"
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "darts_estimator.set_params(\n",
+    "    max_epochs=0,  # no epochs of architecture fitting\n",
+    "    sampling_strategy=\"max\",\n",
+    "    param_updates_for_sampled_model=1000,\n",
+    ")\n",
+    "darts_estimator.fit(X, y)\n",
+    "darts_estimator.visualize_model()"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "As long as the architecture has not been refitted in the meantime, the architecture should be identical to the initial result, as the `sampling_strategy=\"max\"` is deterministic. The coefficients of the architecture functions may, however, be different, as they have different starting values compared to when they were initially set.\n"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 2
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython2",
+   "version": "2.7.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 0
+}
diff --git a/docs/theorist/darts/example.md b/docs/theorist/darts/example.md
deleted file mode 100644
index 60546967c..000000000
--- a/docs/theorist/darts/example.md
+++ /dev/null
@@ -1,101 +0,0 @@
-# Differentiable Architecture Search
-
-## Example
-
-Let's generate a simple data set with two features $x_1, x_2 \in [0, 1]$ and a target $y$. We will use the following generative model: 
-$y = 2 x_1 - e^{(5 x_2)}$
-
-```python
-import numpy as np
-
-x_1 = np.linspace(0, 1, num=10)
-x_2 = np.linspace(0, 1, num=10)
-X = np.array(np.meshgrid(x_1, x_2)).T.reshape(-1,2)
-
-y = 2 * X[:,0] + np.exp(5 * X[:,1])
-```
-
-Now let us define the search space, that is, the space of operations to consider when searching over the space of computation graphs.
-
-```python
-primitives = [
-    "none",
-    "add",
-    "subtract",
-    'mult',
-    "logistic",
-    'exp',
-    'relu',
-]
-```
-
-## Set up the DARTS Regressor
-
-We will use the DARTS Regressor to predict the outcomes. There are a number of parameters that determine how the architecture search is performed. The most important ones are listed below:
-
-- **num_graph_nodes**: The number of latent variables used to represent the model.
-- **arch_updates_per_epoch**: The number of architecture updates per training epoch. These updates affect the architecture weights $\alpha$ indicating the relative contribution of each operation for a given computation step.
-- **arch_learning_rate_max**: The initial learning rate of the architecture weight optimizer.
-- **param_updates_per_epoch**: The number of parameter updates per epoch. Once the architecture updates are complete, the parameters associated with each operation are updated.
-- **param_momentum**: The momentum of the parameter optimizer.
-- **max_epochs**: The maximum number of epochs to run DARTS.
-- **output_type**: The type of output to produce. In our case, we treat the outcome as a real variable, i.e., "real".
-
-
-Let's set up the DARTS regressor with some default parameters.
-
-```python
-from autora.skl.darts import DARTSRegressor
-
-darts_estimator = DARTSRegressor(
-    num_graph_nodes=1,
-    arch_updates_per_epoch=1,
-    arch_learning_rate_max=0.001,
-    param_updates_per_epoch=500,
-    param_momentum=0.9,
-    max_epochs=300,
-    output_type="real",
-    primitives=primitives,
-)
-```
-
-Now we have everything to run differentiable architecture search and visualize the model resulting from the highest architecture weights. Note that the current model corresponds to the model with the highest architecture weights.
-
-```python
-darts_estimator.fit(X, y)
-darts_estimator.visualize_model()
-```
-
-We can refine the fit by running the `fit` method again, after changing the parameters. This allows us to keep the same architecture but refit the parameters in the final sampled model, for example:
-```python
-darts_estimator.set_params(
-    max_epochs=0,  # no epochs of architecture fitting
-    param_updates_for_sampled_model=1000,  # 1000 steps of param optimiziation
-)
-darts_estimator.fit(X, y)
-darts_estimator.visualize_model()
-```
-
-We can also change how the model is sampled from the architecture weight distribution:
-```python
-darts_estimator.set_params(
-    max_epochs=0,  # no epochs of architecture fitting
-    sampling_strategy="sample",  # overriding default "max"
-    param_updates_for_sampled_model=800,
-)
-darts_estimator.fit(X, y)
-darts_estimator.visualize_model()
-```
-
-To recover the initial model, we need to return the sampling strategy to the default `"max"`:
-```python
-darts_estimator.set_params(
-    max_epochs=0,  # no epochs of architecture fitting
-    sampling_strategy="max",  
-    param_updates_for_sampled_model=1000,
-)
-darts_estimator.fit(X, y)
-darts_estimator.visualize_model()
-```
-
-As long as the architecture has not been refitted in the meantime, the architecture should be identical to the initial result, as the `sampling_strategy="max"` is deterministic. The coefficients of the architecture functions may, however, be different, as they have different starting values compared to when they were initially set. 
diff --git a/docs/theorist/darts/weber.ipynb b/docs/theorist/darts/weber.ipynb
new file mode 100644
index 000000000..c728c226a
--- /dev/null
+++ b/docs/theorist/darts/weber.ipynb
@@ -0,0 +1,348 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "source": [
+    "Example file which shows some simple curve fitting using DARTSRegressor and some other estimators."
+   ],
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "outputs": [],
+   "source": [
+    "# Uncomment the following line when running on Google Colab\n",
+    "# !pip install autora"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "outputs": [],
+   "source": [
+    "from functools import partial\n",
+    "\n",
+    "import matplotlib.pyplot as plt\n",
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "from sklearn.linear_model import LinearRegression\n",
+    "from sklearn.model_selection import GridSearchCV\n",
+    "from sklearn.pipeline import make_pipeline\n",
+    "from sklearn.preprocessing import PolynomialFeatures\n",
+    "\n",
+    "from autora.skl.darts import DARTSRegressor\n",
+    "from autora.synthetic import retrieve, describe"
+   ],
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# %% Define some helper functions\n",
+    "\n",
+    "def show_results_complete(\n",
+    "    data_: pd.DataFrame,\n",
+    "    estimator=None,\n",
+    "    show_results=True,\n",
+    "    projection=\"2d\",\n",
+    "    label=None,\n",
+    "):\n",
+    "    \"\"\"\n",
+    "    Function to plot input data (x_, y_) and the predictions of an estimator for the same x_.\n",
+    "    \"\"\"\n",
+    "    if projection == \"2d\":\n",
+    "        plt.figure()\n",
+    "        data_.plot.scatter(\n",
+    "            \"S1\", \"S2\", c=\"difference_detected\", cmap=\"viridis\", zorder=10\n",
+    "        )\n",
+    "    elif projection == \"3d\":\n",
+    "        fig = plt.figure()\n",
+    "        ax = fig.add_subplot(projection=\"3d\")\n",
+    "        ax.scatter(data_[\"S1\"], data[\"S2\"], data[\"difference_detected\"])\n",
+    "\n",
+    "        if estimator is not None:\n",
+    "            xs, ys = np.mgrid[0:5:0.2, 0:5:0.2]  # type: ignore\n",
+    "\n",
+    "            zs = estimator.predict(np.column_stack((xs.ravel(), ys.ravel())))\n",
+    "\n",
+    "            ax.plot_surface(xs, ys, zs.reshape(xs.shape), alpha=0.5)\n",
+    "\n",
+    "    if label is not None:\n",
+    "        plt.title(label)\n",
+    "\n",
+    "    if show_results:\n",
+    "        plt.show()\n",
+    "\n",
+    "    return\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "outputs": [],
+   "source": [
+    "# %% Load the data\n",
+    "s = retrieve(\"weber_fechner\",rng=np.random.default_rng(seed=180), resolution=20)\n",
+    "X = s.domain()\n",
+    "y = s.experiment_runner(X)\n",
+    "data = pd.DataFrame(np.column_stack([X, y]), columns=[\"S1\", \"S2\", \"difference_detected\"])"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/png": 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"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "show_results = partial(show_results_complete, data_=data, projection=\"3d\")\n",
+    "show_results(label=\"input data\")"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/png": 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"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# %% Fit first using a super-simple linear regression\n",
+    "\n",
+    "first_order_linear_estimator = LinearRegression()\n",
+    "first_order_linear_estimator.fit(X, y)\n",
+    "\n",
+    "show_results(estimator=first_order_linear_estimator, label=\"1st order linear\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/png": 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"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# %% Fit using a 0-3 order polynomial, getting the best fit for the data.\n",
+    "polynomial_estimator = GridSearchCV(\n",
+    "    make_pipeline(PolynomialFeatures(), LinearRegression(fit_intercept=False)),\n",
+    "    param_grid=dict(polynomialfeatures__degree=range(4)),\n",
+    ")\n",
+    "polynomial_estimator.fit(X, y)\n",
+    "\n",
+    "show_results(estimator=polynomial_estimator, label=\"[0th-3rd]-order linear\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "  0%|          | 0/30 [00:00<?, ?it/s]",
+      "application/vnd.jupyter.widget-view+json": {
+       "version_major": 2,
+       "version_minor": 0,
+       "model_id": "2e35713378f84c8fb4ada0159e9800f3"
+      }
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/png": 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+      "text/plain": "<graphviz.graphs.Digraph at 0x16f872fd0>"
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "darts_estimator_tuned = DARTSRegressor(\n",
+    "    batch_size=64,\n",
+    "    arch_updates_per_epoch=100,\n",
+    "    param_updates_per_epoch=100,\n",
+    "    max_epochs=30,\n",
+    "    output_type=\"probability\",\n",
+    "    num_graph_nodes=5,\n",
+    "    primitives=[\n",
+    "        \"none\",\n",
+    "        \"linear\",\n",
+    "        \"logistic\",\n",
+    "        ]\n",
+    ")\n",
+    "\n",
+    "darts_estimator_tuned.fit(X, y)\n",
+    "\n",
+    "show_results(estimator=darts_estimator_tuned, label=\"pre-tuned DARTSRegressor\")\n",
+    "darts_estimator_tuned.visualize_model()"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "  0%|          | 0/1 [00:00<?, ?it/s]",
+      "application/vnd.jupyter.widget-view+json": {
+       "version_major": 2,
+       "version_minor": 0,
+       "model_id": "b4243085fb2041f3b0b4896400368d81"
+      }
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/png": 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79yLLciGt0rIkiteJRqN885vfXLPjv/vuu0uO9+6770ZVVW699dY5n68oCm9961u5//77OXbs2Ky/j42NFf7361//egYHB/nhD39YeCyVSvEP//APqz7uRx55hP/5P/8nmzdv5nd+53cA+PGPf0wymeSuu+7izjvvnPXvjW98I/fff/+i6cc333wz1113HV/+8pfJZDJLPqbh4WFOnDgx6/FcLsd//Md/IMvyvG4miy1btvDWt76Vb33rWwwPDy/rfN92220MDAzwk5/8pPBYJpPh61//+pI/w9vf/nYGBgbmfE06nS5kSk1MTMz6+xVXXAFQOL/WtW/hdDrZvXs3Qgg0TUNRFF772tfywAMPlLhSR0ZG+O53v8uNN95IMBhc8rHbrD22RbJGbNmyhc9+9rP8+Z//OT09Pdxxxx0EAgG6u7v58Y9/zAc/+EH+5E/+hEceeYSPfOQjvO1tb2P79u3ous63v/3twkYB8NrXvhan08mb3vQmPvShD5FIJPj6179OfX09Q0NDZT92t9vNgw8+yPve9z6uv/56fv7zn/Ozn/2MT37yk9TV1c37ui984Qs8+uijXH/99XzgAx9g9+7dTExM8OKLL/LLX/6ysMl84AMf4O677+a9730vL7zwAk1NTXz7299edlrsz3/+c06dOoWu64yMjPDII4/wi1/8gra2Nn7yk5/gdruBvFurpqaGgwcPzrnO7bffzte//nV+9rOf8Za3vGXB9/zTP/1T3va2t/Gtb31rVoLFfPT393Pddddxyy23cOutt9LY2Mjo6Cj//M//zOHDh/n4xz9ObW3touv86Z/+Kd///vf58pe/zBe+8IUln+8PfehD3H333bzrXe/iYx/7GE1NTdx3332F87OYhQH5lOrvf//7/NEf/RGPPvooN9xwA4ZhcOrUKb7//e/z0EMPcc011/CZz3yGJ554gje84Q20tbUxOjrKV7/6VTZs2FCor3rta19LY2MjN9xwAw0NDZw8eZK7776bN7zhDYW41mc/+9lCPcqHP/xhHA4H9957L9lslr/5m79Z0nm3uYisR6rYSwkr/Xe+dMf7779f3HjjjcLn8wmfzyd27twp7rrrLtHZ2SmEEOLcuXPi93//98WWLVuE2+0W1dXV4lWvepX45S9/WbLOT37yE7Fv3z7hdrvFpk2bxBe/+EXxjW98QwAl1dltbW3iDW94w6zjAMRdd91V8lh3d7cAxP/6X/+r8Nj73vc+4fP5xNmzZ8VrX/ta4fV6RUNDg/j0pz8tDMOYtebMyvaRkRFx1113idbWVqGqqmhsbBS33nqr+Id/+IeS5/X29orbb79deL1eUVtbKz72sY+JBx98cFnpv9Y/p9MpGhsbxWte8xrxla98RcRisZLjcTgc4nd/93fnXS+VSgmv1yt++7d/u2T9udKLDcMQW7ZsEVu2bClJN10o/TcWi4mvfOUr4rbbbhMbNmwQqqqKQCAgDhw4IL7+9a8X0pGFmL+y3eLmm28WwWBQTE1NFT7fUs73uXPnxBve8Abh8XhEXV2d+C//5b+I+++/XwDi6aefLjzvla985bypublcTnzxi18Ue/bsES6XS1RVVYmrr75a/NVf/ZWIRqNCiHxngTe/+c2iublZOJ1O0dzcLN71rneJ06dPF9a59957xU033SRqamqEy+USW7ZsEX/6p39aWMPixRdfFLfddpvw+/3C6/WKV73qVSVp7UIsLRXcZu2RhChDpNXmJcP73/9+fvjDH5JIJNb7UGzWmC9/+ct84hOfoL+/n5aWlvU+HJtLGDtGYmPzMiCdTpf8dyaT4d5772Xbtm22iNisGjtGYmPzMuAtb3kLGzdu5IorriAajfKd73yHU6dOzVuMaWOzHGwhsbF5GXDbbbfxj//4j9x3330YhsHu3bv5l3/5F97xjnes96HZvASwYyQ2NjY2NqvCjpHY2NjY2KwKW0hsbGxsbFaFLSQ2NjY2NqvCFhIbGxsbm1VhC4mNjY2NzaqwhcTGxsbGZlXYQmJjY2NjsypsIbGxsbGxWRW2kNjY2NjYrApbSGxsbGxsVoUtJDY2NjY2q8IWEhsbGxubVWELiY2NjY3NqrCFxMbGxsZmVdhCYmNjY2OzKmwhsbGxsbFZFbaQ2NjY2NisCltIbGxsbGxWhS0kNjY2NjarwhYSGxsbG5tVYQuJjY2Njc2qsIXExsbGxmZV2EJiY2NjY7MqbCGxsbGxsVkVtpDY2NjY2KwKW0hsbGxsbFaFLSQ2NjY2NqvCFhIbGxsbm1VhC4mNjY2NzaqwhcTGxsbGZlXYQmJjY2Njsyoc630ANi8vhBAYhkE2m0VRlMI/WbbvaWxsLlVsIbG5aAgh0DQNXdfJZrOFx2VZxuFw4HA4bGGxsbkEkYQQYr0Pwualj2EYaJqGaZpIkkQul0OWZYQQCCEwTRMhBJIkIUmSLSw2NpcQtpDYrClCCHRdR9d1ACRJKlgmkiTN+XxLVCys5zmdTlRVxeFwzPlaGxub9cF2bdmsGaZpFqwQoGBtWCJhWSDFSJKEoiiF/7aE5emnn2bHjh2Ew2FkWUZRlBKrxRYWG5v1wxYSm7Jjbf6appW4q2Y+ZymbvyUs1v9XFKWwdi6XQ5KkgrCoqlp4ji0sNjYXD1tIbMqK5bY6duwY9fX11NbWlmVTt9aYz2KZKSwzYyy2sNjYrB22kNiUDWtDNwyDeDxOVVVV2TbwYpfYzMctYbH+bpomuVyObDZrC4uNzUXAFhKbVWPVhui6jmmayLI878a/lljiYAuLjc3FxRYSm1VhubIMwwAoiIiV2lsuViJMcwmL9S+bzZLL5QrHbAuLjc3KsYXEZsVYd/rFVkgx823867VJFwf9FUWZJSzFFouVZmzVsNjCYmMzP7aQ2Cwby5VlZWXNtdEuZkEsd2NeC1fZQsKSyWQKz7GFxcZmYWwhsVkWpmmi6/osV9ZM1iNGslqWIiyZTAZd16mtrbWFxcZmGltIbJbEUmpDiim3kKxX8H6msExOTjI5OYnf7wfyQjozxmILi83LDVtIbBZlrjYni22Ul6JFshjW55YkCVVVS/qEZbNZMpmMLSw2L0tsIbFZkOLaECtesBRWKiQ53UQALkfp+1SiMM0UVEtYDMMotMovjrFYbV2WIsQ2NpcStpDYzMl8tSFLZbkb/2RK48lzE5waTiAEbKv3cbC9ivqAq+SYKhlLICyxLRYWXdcLf5+rT5gtLDaXMraQ2MxivtqQ5bAcIUlmdb7/4iDnxlJU+51IwNPdk/RNpnnPdRuo8qqX5EY7n7Doul7ofmwJS3GfMLtlvs2lhi0kNiUsVhuyVJYjJCdHEnRH0myp8+JQ8ptotVelayzJ0cE4N22tBirHIlnNObGFxealiC0kNsDSakOWw3KEZCSWQ5YoiAiALEu4VYX+yXRhvZcaiwkL2NMjbS4NbCGxKYsrayYLCYkQgr7JNCPxHF5VwaGAac5+bs4wCbodJa97KTOfsBR3NranR9pUIraQvMwxDIO+vj48Hg+hUGjNu/VmNYP7Dw3yQu8Eac1EkSVC7nwm08BUhqagCyQYi+fwOGR2NvoL673cmEtYrCw6TdNIJpOk02mampoKwmJPj7RZD2wheZlSXBvS399PQ0MD4XC4bOvPJyS/PhPhybMTNPhVWkIKhhD0TmRwKhKqInF2PAVA2OPgNbvq2FrnKznmlzMzZ7Ekk0mGh4epra2d02Kxp0faXCxsIXkZMnME7lq4RiRJKqxvoRsmz/ZOEnA5CHocCAGqLNFW7eb8ZIZXba/F51QwhaC1ykOVVy1ZrxKoNDGzhAPmH/JlT4+0WWtsIXkZUbzRFGdlybI8a9NfLXNtVpohSOcMXGqpcDlkCdMUyBJc1hyYd71K28TXm5njiu3pkTbrhS0kLxMWCqivVWfdmeLkVmVawh5ODMWp8lzY8OJZA4+q0FBUfGizNBbrd2YP+bK5GNhC8jKguM3JfC3fL4ZFIkkSN22rpSeS4uxYirBXJasbJLIGBzZX0VrlXnA92yIpZaZFshD29EibtcQWkpcwS21zUu5phnBBnM5PpOjoixJNa7RUebiyNcTbLq/jgWe7mIhKhH1eXrmnjldsrbE3rGWymu9sIWGxp0faLBdbSF6iLKc2ZK1cW8fHcrxw+hxT6RyKLGOYgl8e7eNKzwR37KghowsSsQhiZJSTmRBVVVVUV1fj9/tnJQDYFslslmORLEaxsCxleqSVamx3NrYBW0heklgV6kttc7IWwfaUJniiN43qdbK9Pl8LMjYe4UR/koadDbx5z46CMKRSqcKcj/PnzwMQDoepqqqiqqoKn8837/usB5W0ca7VsdjTI22Wgy0kLyGKa0OW0+ZkLe72+2MakxmTy5vdGIbOyMgoANta6hhISsQzOn5X3k3i8/nw+Xxs2LABIQTxeJzJyUkikQhnz54tKbKrra3F4/GU9VgvVcppkSzGUoRlcnISr9dLKBSyheVlhi0kLxHmqg1ZTiC23BaJJUupZJLJiQh+v5/q6momUxq6KRDMvRFKkkQwGCQYDNLW1oZpmkSjUTo7O4nH4zz99NO4XK6CtVJVVYXL9fLM9lpPV99cwjI4OEhNTU3h+5irZb4tLC9NbCG5xFnuCNy5kGW5EEspFxuCKh5J58xghB0bavH5fJhCMJbIcl1bFQGXsqSNUJZlqqqqCAQC+P1+WlpaiEajBTfYiRMn8Pl8BVEJh8Ooqrroui8FLqZFshjFomJPj3z5YQvJJczMgPpKBySVw7WVyOj85twERwaimIaOOzHE3mpBt1nDQFLgzKTI6CYbwh5+a0/Dit5TCIHD4aCmpoaamhoANE0rxFfOnj1LKpUiGAwWhCUUCpUU6a2WSgv4V9ImbJpmSW2SPT3y5YMtJJcoi9WGLIfVBtsTWZ2vPnGOYwNxhKkRjyWQFIWd1U7+6JYtHB2MMZXS2Fjl4ZpNVdT5nYU26Utlvs+nqir19fXU19cDkMlkCsJy8uRJcrkcodCFjLBAIPCS6ZZbaaK2kIVkT498aWMLySXGakfgzsVqLZKnuyc4NhAjJOfI5lJsaK0mnTU4PZEgkdV55zUbZn2GlbCU17ndbpqammhqakIIQTqdZnJykomJCfr7+zFNsyQjzO/3X7IbVSW5toDC9bgUljPka6YrzKbysIXkEmIt5obA6oPth3snSMZjBHwyTU2NqA4VYSYwTTgzmuT6zdVlOcaVvMbr9eL1emlpaUEIQSKRKFgs3d3dhRiM9c/j8VTU5rwQlSYkqzme5QiLPT2y8rCF5BLBNE1GRkYYGRlh586dZd1AVmORDA8PM9jfj+xw0thYf+G4JAmBQJHLd5yrdeVIkkQgECAQCLBx40ZM0yQejzMxMcHIyAinT5/G6XQWRKW6urriM8IqTUjKtbEvJixgT4+sJGwhqXCKR+Bms1kmJyfLvnmspEWKaZqcOnWKwcFBbt63iR+diJHMGfhd+UsqltFxyBK75+nmu1zWYsOUZZlQKEQoFGLz5s0YhkE0Gi24wU6ePInX6y2xWCqJSrNIioPt5WY+YbE6G4MtLOuJLSQVjGma6LpecGUpilL2eg9YvmvrSO8YP3zyBOMpk31b27ihuZ6DWQdPn5tgYCqNEBKyMLmyXuGypuCc77fcDeditEhRFIXq6mqqq/OuOE3TmJqaKrjBjh07htPpxOFwEIlECIfDZc0IWy6VJiTltEgWYy5hKZ4eCRQKc4PBoD09co2xhaQCma82ZK2EZDkWyUMvnuXeJ7rRZZWqYIDHzkzxQn+C9+/fyLVtVZweiaMoMnVqDjk6gFxG19bFRlVV6urqqKurAyCbzdLV1UUsFqOzs5NsNltINa6uriYYDF7UO+CLuXEvhbW0SBZjrlksw8PDjI2NsXfv3sJz7OmRa4MtJBVGcZsTKL17X4ueWNZ7LLauaZocPX6S+54awuH2sqsxVLASzk+keeDwEP/z9l1c0RoCYHR0lK5oeY9xvdNdXS5XIctrz549pNNpJiYmmJycZGBgAMMwChlhVvPJtd6oKmkjrCQLqbhA0uFw2NMj1xhbSCqI4tqQYrPdYq0208UsklQqRUdHB0MJE+EJ0hq4kNkkSRINQRfD8Sy9E2m2N/jX9FgrCY/HQ0tLSyEjLJlMFjLCenp6kCSpJL7i9XrLulFV2vmtRAvJOp65LBZ7emT5sIWkAljO3JC1skjm25SGh4c5duwYLS0tNG5r5adDpzFnPNcUAhlKMrQWE5JKjJGsBkmS8Pv9+P1+WltbCxlhk5OTjI2NcebMGRwOR8Faqaqqwu2ef5DXUqgkCwDW17U1F1ax7lwUC4s95Gv12EKyziynNuRiurasrKxzfYO4G9pJ+app8btoq/ZwaiRBe62CLEmYQjAUy7K1zk9btadkzUre+Nea4oywTZs2FTLCLDfYqVOncLvdJRaL0+lc1ntUmpBUskWyEMVuMLCFZSXYQrKOWBfqes4NsdYt3vQtV9bxiMHzU1VEesYRjFHnd/GKrTVMpTXOjqWQAIGgIejmd67bgEO58KNdTEiWKzJr0aH4YjIzI0zX9UJGWG9vL8ePH8fv95c0n3Q4Fv95VspGZqXjVsrxwPIq7YtZSFjs6ZFzYwvJOlBcG7KcuSHWhl/uH2zxJm25sgjU8+uIRipn0Bx2IwHDsSwPnhjlP920iam0xlg8S43fxXWbqqgPuGatWW6L5KVk4TgcDmpra6mtrQUgl8sV4itdXV1kMhkCgUDBDWalsBZTSefDOpZKs0jKkZ5dLCxzTY8sFpaX6/RIW0guMqtpc2L9SMv1Ayle1zRNTpw4weDgIJdddhm/7M0RTQ/SXusrHF9L2M258RTHBuN88BWbFlyz3ELyUv9BOp1OGhoaaGhoACj0CJucnGRwcBBd12c1n6wkC8D6rivleCD/O1mLkQLFmZT29Mg8tpBcRJY7Ancm1vPLfSdq3VVNTU1x8OBBvF4v48fPoMw4RkmSUBWJsUR2ScdqWyQrx+Px4PF4aG5uRggx5zhi6wYgkUjg8/nWdZOyLNpK2ihX6tpaLraw2EJyUZhZG7LSC6jYIikXw8PDHD16FEmS2L9/f+E9Wqu9GGYkn5FVJGCaYbKp2rvourZFUj4kae5xxCdPniSVSvH8888XMsKKm09eTCrVtbUex7OQsJw/f554PM7WrVtfUtMjbSFZY2aOwF1JexCLcgqJYRh0dnYyODjItm3bOHPmTMmP7sYt1fzy5Cjd40nq/C6QYDyRoz7g4qbttYuu/1K2SNb7xy5J+XHEHo+HqqqqkqmRQ0NDdHZ2lowjrq6uXnZG2HKpVNfWerawsSj+zVtp/pY1+VKZHmkLyRpRXPBUzrkh5cheSiaTHD58GEmSOHjwIKZp8uih09z92Dn6JtI0h928emcd//nVW/nn5/rpGk0ihGBfS5B3XrOB1qrF73bXoo7EphQrRlLcCh/yGWELjSOuqqpaUkbYcrBqSCrpe1ovi2QhDMOY1UxyoemRl4qw2EKyBqzV3BBrrdUISXGB4Y4dO5BlmUdPDPK9sxKKexiXQ+HYYIynzk3wn165mb94/Q5G41mEgIaga1mf46VokVTCMRQz1/exHuOIKynwb1HJQlLMfJ2Ni4XlXe96F+973/t417vetR6HvSi2kJQZ0zQZHh4GoLq6uuw/rpUKSbEra+/evYXsoJxu8r0Xh8kagt3VXiQ5b0n0T2W475k+rt9URUNw+RXYK2lNvxCVtklVAkvdvC/GOOJKq2qHS0dIZjKXsAwPD5fdiiwnlXtklxjFbU4GBwdxuVyFO8JyshIhmenK8novBMt7J1KMxHMEVaCof1a938loPMfZsSR7mme3gl8K5XRtLbbey5GVno+1GEdcaVXtULlCstx4lSRJpFKpkt9tpWELSRmY6cpSFKXwv8vNcoPYQ0NDHD9+vMSVVYwsSUgS5FcUQH7DMAFZYsUTDotTlefahKyU46X+OCrtbrcSKIc7SZLKM464El1bC/XaWi9WkgBgNQQNBMozJG4tsIVklcxVG6IoSiHVt9ws1SKZz5U1k001XtqqPbw4FaPZFDiUfP+skViW9lofW+p8KzrOhYTESjk2TRO3212o3q6qqpq3gOzl3rtrLtZi85ak2eOIY7EYk5OTs8YRW9+by+WyXVtLZKXilkwm8flW9lu8GNhCskKKa0NmtjlZq55YS117IVcWwEQyx7HBGLIksbclyO8fbONs/wi9EylkSUYgqPO7+IMb2lCVlf0Q5yqeNE2Tzs5OBgYGuOyyy/D7/YWZ6dYEwuJBUaFQqOI2gkpjrTdvWZYJh8OEw+FZ44j7+vo4ceJEwaKxLPO1qCZfCZUqJCtJbEilUrZF8lJj5gjcmVlZazXJ0HqvhdZezJX1b0eG+c4zfUymc0hIVHtV3neglXdvMTEbWoikDeoDLl6xtZbm8MrbnM8UkkwmQ0dHB4ZhcPDgQZxOJ5qmlfSbymazhUFRx48fR9d1wuEw1dXVheaWNhdYDwttvnHEg4ODaJrGr371KwKBQEnzyfWq5XipCEkul0PTNPx+/xod1eqxhWQZzDcCdybrYZEYhsGpU6cYGhqa15XV0RflH5/swTQFLaF8LchoPMu9v+rljXXw7ssbylYRXSwkkUiEw4cPU1dXx+7du+d1/blcrpIgsDUoamJigomJCQCOHz9esFhWO8/jUqcS4hLWOGJJkshms1x++eWF+ErxOOLi5pMXY3O3fquVJiQriZEkEgkAW0heCswMqC9UfCXL8poG22cKSTKZpKOjA1mW53RlWTzSOUY6Z7CxqMVJY9BF32Sa41Nrk67b3d1Nb28vu3btYsOGDct6ffGgqL6+PkZHR/F4PAwODtLZ2Vmo7LY2qYuVHrnem3cxlXIsVozE5XLR2NhIY2NjodeUZWVaGWHFqcZrNY64Elu2wMpiJIlEopAUUanYQrIEikfgLqW48GK6thZzZRUzlsjOysKyBDGhlXfeh2VxDA4Ocv311xMMriyF2EKSJBwOB+3t7bS3t6PrekmRXTqdLrRdr66uvmh3vutJJVgkFnMdiyRJ6zaO2LqWK+0aWIlry0r9rbTPUowtJAuw1BG4M1lLi8Qq9FuKK2smW+t8PN8zVdKI0TQFphA0esuXFRWNRjl06BAAV199dVmChDPPu8PhoK6ujrq6OoCSO18rI8yKr1RVVa17d9y1oJKy2JZSRzLTypxvHHFxFt9K3ZcvJSGphO7Oi2ELyTysps3JWlskmUyGp59+elFX1kxeu7uBR06N0zeRpsqngoCJlEZz2M3ltelVH7MQgv7+fk6dOkV7eztdXV1ldTcttHG63W6am5sLbdeTySQTExNEIhHOnj1bskFVV1fjcrnmXWulx3CxqSSLZCXpv8sZR1xdXU04HF5yMV8lCokVt1mukFR66i/YQjInyx2BO5O1DLZns1nGxsZobW1d1JUFeYsjq5u4VZnWKg//4/U7+NZT5zk9mkAC9m+u4n0HNtJ//LlVbZKGYXD8+HHGx8e56qqrqKmpoaurq2wb73K+g+I7X6sWwkpZHRgY4OTJk4UmhtYGVcntJxaiUoSkHJXtC40j7u7uJplMLnkccbkapZYTa0+wLZKXOCsdgTuTtRASy5UVjUZpaGhg165dCz5fM0z+tWOIfzs6zFRKoznk5s6rmrl1Zx1f+O3djCfy40Fr/U4kSWLgxMpdW1awX1EUDh48WHBHLFREeDFbpMzsjlvcxNAaa2tlFq2019R6cKlbJIuxlHHExc0ni8cRV2LGVrF3YzmkUinbIrlUWKw2ZDmUO0ZSnJXV0NCwJFfWP/yqhx8dGkSRJdyqTNdogv/1iy7Smsmb9jVSN8eM9ZWI38jICEePHmXDhg1s37695EdSzmr0cm5SM5sYztVrqniWR7kCwOXm5eZmW844YqfTWXHf2UqFxLJIKpmXvZAstTZkOZQzRjIzK+vUqVOLrj0UzfDg8RE8ToUqb77KOORRGY5l+d7z/bx2Vx0utdS8Xm63XtM0OX36NP39/Vx22WU0NjbOek6525qs1cY5c6xtIpFgYmKC8fFxzp49i6qqBVFZqySKlVBpFsnFtgDmG0dsJV0YhsGRI0cKNwXr7R6yAu3LPQbLpVfJvKyFZOYI3HIN5imHa2u+rKylbPhdowkSWYPmUKnVEXI7GE/mGIxm2FxbeoeznE0/k8lw+PBhNE3jwIED894tLXQuK3WwVXGvqba2tlktQeLxeGHYkBVfWc8pfJUiJOstapJUOo54fHyczs5OQqFQScLFeo4jXunExlQqZQtJpVJcG1Lc+78cWEKy0h/XQgWGsiyjadqCrw+4HTgUCc0wcckXLtycYaLKEn7X7K99qeI3MTFBR0cHtbW1XH311QsGqcs9JbESWoJ0dXURj8cLTTGz2eyqZ3mslPXevIuptDbyQghUVaWtrY22trZCwsV6jiN+qTZshJehkFgB9Z6eHmRZprm5uew/xuKA33LvQIaGhjh27Bitra2zYg6wtA3/suYgm6q9dI0laQxKqIpMVjOIZXRu3l43Kz4Ci2/6Qgi6u7s5e/YsO3bsoLW1ddHzthYxkmhao38yQ9YwCbgctFa5casXzyJQFAWPx8POnTsBStwpfX19ACWb01wt18tFJcVIKq3770xX23zjiCcmJi7aOOKVNmxMJBIV3bARXmZCUlwbEo/H1yw90LqAlyMklitreHiYffv2zVtgOJeQ9E+m+deOQQ71RQm4VV69Kz9v/a8fPM3AVDr/OknisuYgH37l5jnXXSjYrmkaR48eJRaLcd111xEKhZb0mcotJCNJg9PHRplMaSBJSMCGKjev3FZD0H3xLuXia2bmLA+rm/HY2BhdXV04nc6CRWMFgctFpVkklXIssHjMZj3GEa9USJLJJE1NTat677XmZSMkM2tD1nL4lHUBG4axpJbaxa6sAwcOLJiVNVNIeiMp/ssPjzEUy6AqEoYpePH8FK+7rIGvvmsfz/ZMEUnk2FDl5tpNVfO2hZ8v9hKLxejo6MDr9Ra69i6VcgpJzjA5GTEJ1Rtsrs1nUemmoDeS4uhAjBu2VJflfVaDJEkEg0GCwWChwM6qg+jt7eX48eP4/f6CqJQjvlIpm3elubaWG/xfbByxpmklIw5WOo54pTGSSu6zBS8DIZmvNkRRFHK53Jq8p/XjXkrMYTFX1lxrF6/77Wf6GIplaAi4kKf7aCWyOr84McobLmvg1p11Sz7mmZt+f38/J0+eLPS3WkmAvFxCEkkZRHMmO0LuwnE4ZIlqn5PeiTRXbzQuiotrOZ9HUZSSu16rDmJiYoJTp06hadqs+MpyznElWQEr3STXitVmkc01jtjKBuvr60MIsexxxKuxSOxg+zqyUJuTtR6Hu1gKcLEr6/LLLy/cCS1GsUUihODp7gk8qlIQEQCfUyGR0XmxL8q+DUtzQxWvaxgGJ0+eZGRkhCuvvLJQELZcyikkQoBp5sf/FiNLoJtgVk64YF6K6yCKNyfLTw8URMWKryxEJcVILnWLZCGKxxFv2LBhxeOIVxNst4VknZhrBG4xaykksHBQfGZW1nLSEGe6oBxyfjTuXDiWMW/d2vRTqRQdHR2F6YqrSZEsh5BohokpoMan4lMF44kc9dPJAkIIJpI5tjf48Tor5254KczcnKwGhhMTE4WRti6XqyS+MtNNWmkWSaUcC6xtXctKxxGvZjqiLSQXmZm1IfMF1NeyQ+9C6w8ODnL8+PElu7LmWtcSKEmSuGVHHd97YQDNMFGVvMhMpXU8ToUD7UuPG0iSRCwWo6ura0kt6Ze65orbrmR1OvpjdI0lMU0IKTkavPkYUE8khdMhk84Z1Pqd7Guu7IyWpVDcwHDz5s0lWUXWGGKrTb4V/AU7RjIfF9PVNtc4Yis2VjyOWJZlXC7XssYRWw1I7fTfi4hVG1K80c73Q1tri2Sma2ulrqyZzLR0fue6Vg73Rzk9mixYJm6HzHuu38iWuqVdfKZpkkgkSKfT7N27t2wZIisVkpxu8svOcbpGk1R5VRRZ4tRYBjMleMsVYSbTGomMTl3AyZZaH2FvZcwILyczs4qy2WwhvnLixAl0XUcIwcDAAA0NDWs2IGqpVJJ1BOvba2tmbMwaR3zu3DlisdiyxxHb6b8XieI2J0vt+rmWrd6hdMNfjStrrnWzmkEio+NzKdT4nXzlHfv45akxTgzG8Lsc3LStlss3LG2QVDab5fDhw2SzWVpbW8uaZrhSITk/mebceIq2ag9OR34zcFS5ODQhiGY0blznDK312DBnTh5MJpM8++yzxONxBgYGCj56y2JZj6rtShOSSunobI0jHhsbK7R0Wc444osZI/nCF77An//5n/Oxj32ML3/5y0t+XWWc6VWw0rkhFyNGYhjGql1ZxYzFs/zfXw3y6OkszhefZldjgD+4oY2rNoa54/Im7rh8eSIwOTlJR0cH1dXV1NfXl/2Ht1IhmUxpmIKCiEC+DsatwlA0W85DvCQpHru6e/duVFUt+Oitqm23210yIGqprpSVUomurUo6HriQtTXzpqC4+WTxOOLOzk5aWlouWvff5557jnvvvZd9+/Yt+7WXtJAsdwRuMRdDSM6fP088Hl+VK8sinTP4k/uPcXIohixABZ4/P0XnSIK/fdte9rYsfZStEIKenh7OnDnD9u3b2bhxIydOnCh7FtBKhcQ1LSAz3SWaDn7XpRVUX2us9j7FPnprjkdxfKW4BiIUCpV9k61Ei6TShGSuuE1x0sXMccQPPfQQP/vZz1AUhU984hO8/vWv59Zbb2X79u1lP9eJRILf+Z3f4etf/zqf/exnl/36yjrTS8QKqOdyuRWJCKytayuZTBKPx0mn0xw8eHDVIgLw6OlxTo8kCHsceB3gdzmo8zuJZ3T+5bn+Ja+j6zodHR309vZy7bXX0tbWVogllft8rFRINlZ5qPaq9E9lMEyRz85K68iyYFt9ZWevXCys8zrXdW/N8di+fTvXX389N9xwAy0tLWQyGY4fP84TTzxBR0cH58+fJ5FIlOUGwo6RLM5SsrasoWytra184xvf4NChQ0iSxNVXX83999/P5Zdfzl//9V+X/djuuusu3vCGN/DqV796Ra+/5CyS1YzALWatsrYsV5bT6aStra1svurOkTgAqiJjtWyUJAmXKnN0MLakNeLxOIcOHcLj8cyqUl9uG/mlsFQhMYWgbzLDSCyLIktsrHJz8/Yafn1mgt6JNEKAQ8CusMTmmovr+69UlvNduVyukuI6647XslhkWS4ZQ7ySOem2a2txVlJHksvl0DSNT33qUyiKQiaTIZ1Ol/W4/uVf/oUXX3yR5557bsVrXFJCslhtyHKwLJJy3UkVF/FdfvnlDAwMlHVjDntUBPnCPIrW1Q2TsGdx//fAwAAnTpxg06ZNbN26ddZnvtgWiWmapFIpnG4Pj56OcGQwjqabCCDodvCKrTXceVUTQ9EshilwmWn6z0Uq6q53PVnIIlmI4jHEra2tJV1xBwcH6ezsxOPxlMRXlhI7qzTX1kqL/9aSldSRWKm/1rl1u90rEvr56Ovr42Mf+xi/+MUvVrXuJSEkxbUhqxmBW4z1hRqGseogcyKR4PDhwyVZWcPDw2XdmG/ZUcd3nuljKq2jivw5SeXyFtUb984eKmVRnHZ8xRVXUFc3d8uUpbSnXy7zCUk6nebQoUPEYjEGMiqHo05aqwO0VPtxOByMxLL86kyElpCL9tp8UDka1emrgEruSqomh9VnkBVXZLe3t6PresFaOXv2LOl0ulC/Ul1dPSujyMK2SBZnJUKy1vPaX3jhBUZHR7nqqqsKjxmGwRNPPMHdd99NNptd0jFXvJCUcwRuMeUSkvmysso9t72txst/ec02vvTLLibikEvkUBWZ1+1p4LevnDtbazlV6uWeZjjfmpFIhI6ODhoaGti3bx//8lwfnlSUXDLK2YkRXC4XPq+P4YxCTyQ5Z8t7m7UTNIfDQV1dXeGGI5PJFHpMHT16FNM0CYfDBYvF2uQqzSKpRCFZSZHkWhcj3nrrrRw9erTksd/7vd9j586d/Nmf/dmSj7dihWQtRuAWY6210jjJTFfWzID6WsRgXn9ZA1c0+/h/P3uSLTs2c2VrFTsb5y5EGxsb48iRIzQ1NbFz585lN4MsB8VCUpwptnPnTlpaWsjlcihONzXVEs1hN4ZukEqlSCaTTE1GebFjHHUqv2m5XK41rfu51Fipa2u5uN1umpubS8YQT05OlkwdrK6uLukmUQlUopCsxN0207VVbgKBAJdddlnJYz6fj5qamlmPL0RFCokQglgsRjwep6ampuwiAktrrDgfc7myZrLa9OKRWIafHR1hYCpNc9jD6/Y00Bx2UxdwcW2d4NVXNc9pSQkhOHPmDD09PezZs4fm5uYlvd9aBtt1XefYsWNMTU1x7bXXkpHcdI4kcMkmm6vddEdSGKZAcSgEggFkl5eNziA37gwTECkmJiaYmprCNE1Onjy5JrM9LlUuphUwV48pq42L9R1bw6GsMcTrVRRYaUJi3RhXmkVSLipOSCwrZHJyknPnznHDDTes2XutZLNfaoHhamIOHX1R/vRHx5hKaQgBkgT//Fw/X/jt3Vw5XbE+lwDmcjkOHz5MOp1m//79y2qrsFaurWw2y9NPP42qqlx+9XU8cmaKE0PDJLIGLgU2hN00+J2cHUsRcCvopiCrC67aEGRnSw2KXMvGjRuJRqN0dHSgqmphtkex734taiMqmYtlkSxEcXxlcHCQPXv2FGIsXV1dZDKZQsX2xR5DXGlt7a19ZqUxkovJY489tuzXVIyQWHNDdF3HNE1UVV3TgkFYnpAs5sqayUpdW4Yp+OsHO5lMaVR5VWQp3913MqXx1z8/zff+8BpgtpBMTk5y+PBhQqEQBw8eXPadYLljOpBvvzI6Okprays7duzgwROjPNszSVPQRXPITSyVpWssxc4GH7fsqOHceAqnIrOj0c/uRj9KUfdiKza2devWwtpWC/Zjx45hmuasFuxrtclWQiyg0uo2hBCFaZDWb6N4hodVsV3cxsXr9a7ZZ6g0i8T6ba3EIqn0zr9QIUIyV22Iw+GoGCFZiitrrrVXsjGfGo7TN5HG73IgT//IZEki4HIwGM1wfChREs8QQtDb20tXVxfbtm0rFBgul/LODhGcPXuWqakpGhoa2LVrF/GMzrHBOHU+JyGPiikEfrdKIxL9Uxleu6uOgwt0K575mWbWRiQSicKI26OnukgKJ75AkA111WzbUIfb9dJyg1Va9thcwXaPx0NLS0uhYrv4Ozpz5gyqqpaIfzldlZUmJIZhrMhFf7Hao6yWdReSmSNwiwdPrXXwbil34ZYra+PGjWzbtm3JF+dK7/A1Q2CKuQc4CZGfz2GtbfmlJycnueaaa6iqqlr2+1mUK9iuaRpHjhwhkUhQV1dXuJtK5XSymkGNr3Sz8KoykaRZSGVeiPk2z2LfvRpu4BwTDE/ESI+lef58D1Udp7l6g5+GunxH1ovpYlkrKtEiWeh4ir+jtrY2DMMoxFesVut+v78kvrJS15QVj6ik73ilHTgSiYRtkSzEfCNwLSxrYS1/MAtZJMt1Zc1kpUKyo8FPlU9lIpkj7FELnz2RNQh5HOxqCvDMWZlEIsGhQ4dwuVwcPHgQl2t1abLlCLZblfPWfPfOzs7CmiGPSsDtYCqtFYZQWbNTfE6FqkVawS/lGshoBs/3Rklrgl0bapEliaxu0DueJOPOF0D29+fbySxnEmGlUilCIoRYdh2JoiiF8w8XxhAXd8QNhUIlHXGX+nmta67ShGSlY3ZXc4N4sVgXIVlKmxPLx7+WQbP5hCSRSNDR0YHD4Vhx2/eVxkg8ToX/dNNmvvhQF5MpDYcsoZsCVZH44Cs24Xc5EEJw5MgRNm3axLZt28qyoazWIhkeHubo0aMllfPF7jK3qnD9pip+dmyE/qk0AZeDWDpHImvwyu01hJZQnb+Y0I0lckykcmwIewpuQZdDocrvJi7J3LS7HVli1iRCq1NuTU3NumYaLYdKcm2VI/A/1xhiqzCyeAyxdQOwUAzMuo5fCkKSTqdpbW1dgyMqL+vyi7EugMUGT8HKv4ClMJeQrNSVNdfaS92YeyMpOvqj+FwKBzZX8+bLm6jzO/n+CwP0RFJsrPZy51XN3LilujDUaPv27bS3t6/o2OZipRaJaZp0dXXR19fHvn37aGhoAPIuuONjObomknjPn2FbvY+r26q4/fImnu2eJJrO4VUVbmiv4vrNi99xLWWT0k2BmMMtaImxKQSKLBMMBgkGg2zatKmkktvKNLLuhK1Mo+L3rpQNvJJcW+W2AObqiGuJ/+joKF1dXbhcrpLAfXF8pRKFZKU3xIlEojAyoJJZt1uvxTYu6yLQdX3N6gWKrYbVurLmWnsxIdENky881MVPjgyR0wWSBNVelc/cvosbttRwcEtN4bnpdJpnnnkGIQRut7swarVcrCTYbqUbZzIZ9u/fX/DlCiH4yeFhfnE2hUORqFM1fnlqnJPDcX73+o1csSFEPKPhwMCtKst2WcxHlUfF61SIZfSChSOEIJrW2NXoR1VmbywzK7mtTCPrTliSpBI3WCVRKUJSPJF0LZAkqUT8i0fZWqngfr9/VtC+Us4PrLz3l521tUokSVrzzC3LaiiHK2smS3Ft/fNz/fyoYxCHLBF0K5gCJlIa/+3HJ7j/Q9dRP90eZHx8nMOHDxcyoJ566qk1qUJfzprRaJRDhw4RCoU4cOBAiTuodyLNC+enqPIo+J0y9SE3jUHB6ZEET3dPcMcVzVR5VXK5pQvXXJuCZpicG0/RE0mhm7Cxys2mGg+dI0kSWQOnQyae0anxqWyrX1rmS3GmkWmaxONxIpEIg4ODnDp1CofDgdvtJhKJrCogvFoq0SK5WMczc5RtLpcrpBmfPHmSXC4HQG9v75xW5XqwmhiJLSSr5GLMVY9Go/T09KzalTXX2ottzD88NAgCPGr+AlOk/OCmZFbnoeMjvOf6Vs6ePUt3dze7du1iw4YNwNrUfCzHtWV1Et6yZQubN2+e9SMdnEqT1gyq3QrCcjNIEmGvSudIYsWbYPHxGabgybOTnBhO4FQkZBm6I/nxvNe2hRiO5UjnDLbUemmv9S4azJ8LWZYJhUKEQiHa29vRNI0TJ06QyWQKAWGr71R1dfVFnZteKS42WP/gttPpLJk4OD4+zvHjx4nFYvT29s6yKtcjuWKlQmKn/y7Ceo/DNQyDiYkJkskkV1xxRVmGTxWzlM1+PJ7DMcOhL0sSkgTD0TQvvPACqVSK66+/nmDwwgTEteqLtdiapmly6tQphoaGuPLKK6mtrZ3zeY5pF5IpBBTtd7ohcHnkghttOZvuLLGKZugcTdAUdOKZzgLTTUFPJE17jZdXba+Za5lVoaoqXq8Xj8fDtm3bStxgPT09KIpCVVUVNTU1Za+LmEklWSRr7dpaDpIk4XQ6cTgc7Nu3r2BVFidXuFyugqhcjDHEsLIYiTU7ZjkdKtaLirZIHA7HmtSSWK4sXdepq6sru4jA0lxb2xp8HO6P4S7aFAxTYJoCY3IAuS7MgQMHZl3o62GRZDIZOjo6ME2TAwcOLBgA3Frno9rnZGQ8Qe30iINUTieZ03nNxpWda+v8WBvoeCKHZoiCiEA+qO5RZfqm0uxpXrsfn5UkYgWEN2zYUNJ3qrguoriFSzndYJUkJJXcQr7YqiweQzw5OVkYQ2y12qmqqir792Rhx0jWkbWwSIqzslRVJRZb2nTB5bKUwVnvP9DGn95/jHhWx+1QMIUgqxlUu0zefFU7O7e1z/naiz3NcHJyko6ODmpqatizZ8+sH1osrfFc7xRdowlcDpm9LSFet6eef35yit5ojpiUwKFIXL2xiuvaypMTL8tSibVjYZhizqD6WlPcd2rLli2FuoiJiYlCpl04HC5YK2vZHuRicym1kLfGEFvWdDabnfU9FWftlctdacdI1oiL7dqaKyvr/Pnza+Y6sy7khYTk5u21/NWbdvLVx7sZiWUxTYNdYcH/eNNl7No094wRa+21sEhmrimE4Pz585w+fZrt27ezcePGWZ9lKqXxjd/00jWSwKUqGKbJob4pXrG1lrddFuTMSJINbU00Bl1srfMV3F7LxXrfnJ7/QTYFXfhcChPJHNXT1fLJrIEhBG3V619gOLMuIplMMjExUWi/rqpqiXtluW4w2yKZn+W4kVwuV0l8JZVKFQL3PT09hRsE63taaXzFMIxlu9Cs68aOkayScrVJmS8ray1jMNYPa7FWDa+/rJGDG338x9OHCLhd3HTdlYuOvFwLIZlpkRiGwfHjx4lEIgu2X3nqXITTIwm21PkKlkA0rfHUuQlq2x3srVe5fPvcsZTlMJbIcSQi0f3sAKpDZlu9nz1Nfo4PJTg7ngIBTkVmb3OQTTWVlXdfPN5248aNJe1BVtrJuNKEpFKOBVbeZ0uSJHw+Hz6frzCGOBaLMTExwdDQEJ2dnYXiVauNy1LFYSUxklQqhRDCjpGslnKk/y5UYLiWQjLfBMZ8O4lp1wwXKsIva1t61thaCYm1pjUKV5ZlDhw4sKCwHRuM43c5StxJIY/KcCzDQByqwqt3wU0kc/ziVIRzcdgnIKOZ/PrsBDvqfdy2q5ZIUsMQUOd30hRyFara58NKG+6OpNAMwYawm/Za75Kq68vBzPYgK+1kXCmb96Xk2loOsiwTDocJh8MAhfjKzDHE1ne10A3ASue1A7ZrayHW2rW1lALDtZhiaGF9PmtzHk9kuefxbh48MUpON9m/uYrXbZRwpkZLKsKXwloG262alcbGRnbt2rXoD9Ih59vcF1NIBy1TR+FTIwlGEzkaPVDtU/MBVI/K2fEUu5sC7G0JLr7INIYpeK53is7RJF5VQZEkDvXHGIpmecXWagLui/+TWKiTsVXFPTPLqJKsgEp0ba3F8cwVX7FuAI4fP46u6yVtXIonG650OqKiKKvuo3cxqGiLZKVCstQCw5W2el8KkiQVhCqR1fnDb3fQPZ5EkkFC4tHOMZ4+C994z+U0NNQte+21Ou5Dhw6V1KwsxuWtIU6PJslo+Sp1gPFEjoDbweZqF0LLrfqYBqNZfC4HsaJ90+WQMQVMppY3PGw0nuXseIqmgKtwvNU+ld6JvIWybxFRWusNfK4uudZd8Llz5wp3wW63G8MwKqLL7UvVIlmMmTcAVhzMygiz0sGrq6vRNG3F0xHX+/tdChUtJA6Hg2w2u6zXLKdX1sUoeDRNkwePjtA9nsSlykjkTWS3A3KmzPc6xtjbtjwhKbdFous6J06cAODqq69etBXISCxLNK1R63eyf3M1Z0aTHBmIYpr5Fvh+l8JrdtXT5EsTiazeIvE5FbL6hfkrhf8vwOlY3o9sKq2jG6IgIpC3nHxOB0PRzKJCcrEpruLetm0bmUyGiYkJBgcHSafT/PrXv173YrtKs0hWmmq7GmbGwax08MnJSQYGBojH45w9e5ZYLFawWhZrDnqptJCHl5Brq9iVdcUVVxR6J5Vr/ZVgbfgd/dF8pqow0Q0Dh+JAlmV0zeDZnqkVrVuu9N9kMsmhQ4cKQcPiwseZJDI6P3hxgMP9MdKagc+lsH9zFe+8ppmr28L0TaRQFZmdjQHaa7309fWt+LiEEGR0E6cis63eR+dInLg2PX7AFAxFM4S9Km1Vy9s4rQLQmZaFNkNcKhW3201zczMOh4Pe3l527NjBxMQEw8PD69bJuJLcbFAZQ62K08Hb29t56qmnaGhoQNO0QnwlGAwWbgKCweCsY75UMragwi2S5UwwXEmvrIslJD6nhBAmhp6vjpamNzNTQMiz/K9gNfPgixkdHeXIkSNs2LCB9vZ2HnnkkXktHSEE33thgF+fidAQdFHrV4mmdR48PoqqyPz2Fc1cvTFc8pqVuuA6RxIc6osyntTwORX2Nge4ZmOIf+uHc5E0DkWmxufkxi3VhJfQ+kQzTCLJvIut2qcSdDsYTeSo8zuRJYl4VscwTTZWQNrwUrGsgNV0Mi4XL1fX1nIwTbOQ6QUULMvJyUmOHj2KaZol7XY8Hg+pVGpN643uuece7rnnHnp6egDYs2cPn/rUp3jd61637LXWVUgW6zi7lPTf1bR9t+7s1+rCk2WZeDxOkz6MDBiSjCrlNwHdyHf7fdO+xhWtuxrXlhCCM2fO0NPTw2WXXUZTU1PJ6N65GIpmOdIfpTHoKmzetX4nphA8dW6C1+ysxz8jUL3YD2Cu7//kcIKfHRvFME1CHpWptMZDJ8c5sDnEDQ2C9t21uF1OmkPuwoCshTg/keb581NEEjmQJGp8Ks0hF0OxLL2TaSTy8ZbLmoNsXKZ1s57M9T0t1Mm4t7e3pCaiurp60TTz5RxLJW3clSgkM7O2LMuyubm5kGAxOTlJJBLh8OHDfOxjH2Pnzp0IIRgaGqKpaf66spWyYcMGvvCFL7Bt2zaEEPx//9//x5vf/GYOHTrEnj17lrVWRVskC6X/rsSVNRPri12LC8+aANnZ2ckr92xBC8vc++seMtoFAXjV9lreec3SgtrFrEZIrFG4yWSS/fv3F3LUi1uQzMVUOkdKM2gIlmaQ+F0OIskc0Yw2p5As5zgNU/D8+SkEolALUkV+WuTRwTibgW113iVnsYwncvzq7ARpzaAxlN80R2JZ0prJTVurp8caC8IelRqfuuQ7v0q4+16KO2mxTsY+n6+kJmKlrUEq0SK5GP2zlsNCdSTFCRYbN25k586dfOUrX+G+++7j6NGjbNiwgV27dvGa17yG//7f//u8Pe6Wy5ve9KaS//7c5z7HPffcw9NPP/3SEpK1nGBorQ+zaz1Wi1XMl81m2bx5M1u2bGHLFrhlZx2/PDlGzjC5fnO+XYg8cwrTElipkFijcH0+36weXjPTlWdS7XXicyrEMhpV3gtV2LGMht/lmLMGY6HNJZvNcvbsWTweDzU1NXg8HhJZnYmkRtWMtaq8KmfGUiSW6YU8P5kmmtJor7vgZ95Q5eHceIpIIscVreWd6XKxWc7mPVcnY8sNdurUKXK53Io7GdsWycJYXo+lCrXb7eaNb3wjZ86cweVy8fWvf51HHnmE//iP/1izIVeGYfCDH/yAZDLJgQMHlv36indtzRQSq4V5Odq+W833yhknSSaTdHR0oCgKoVCo5IvfVu9nW/3qszBWEnsYGhri2LFjBWFbbg+vhqCLK1vDPHZ6HMPMZ2ZF0zqxjMEdl9fhd82+lOY7TmuWic/nIx6P09XVhcfjwReqQs+apHGV1HNkdBOnQ0YVy2ufnsgaqHNkdTlkiUR27WJjF4PVJluoqkp9fT319fWF0bZWC5fldjKuRIukkoSkeKT4crCC7dXV1dx5553ceeedZT+2o0ePcuDAATKZDH6/nx//+Mfs3r172etUvEVixUgMw+DEiROMjo6u2JU1k+Jaj3IwMjLC0aNHaWlpYceOHRw6dGhN6j2WY5GYpsnp06fp7+9fdPJj8cavGybHBuN0jsSRkNjR6Oe3r2hCVSReOD/FSDyL3+Xg9n2N/NaeuYsp59pcrJjWli1bCmNUh6bSDEcmyaVj+LIRDg8YTIU91IX8OJwehpIG2+p9VE0t6SMXCHscaLqJKUSh2t0UAs00Fw3SG6ZgMJphLJ4P0tcF8nGZSqGcmVKr7WRsZ20tjLW/rKSOZK3Tf3fs2EFHRwfRaJQf/vCHvO997+Pxxx9ftphUtJBYMZJ4PM7hw4fLOsHQohxFidZm3dfXx57LLuPxfoM/+9qz9E8kaatKc9ctbl69q3yt6pea/pvNZjl8+DC5XI4DBw4smkporasbJt9+po8nzkTITddvOE/I3LS1ht+9vpXf2tNALKNT43MuWAlebHEKIQrn6IorrqC2tpbRaIoHj49yLpIiqwuCbjf7tu+gujnN8f5JTg3F0LUxGv0Km5pqSEksmnwxkcwRSWo4FInGoIu6gJPeiTR1fidCwHgyR4PfuWCGlmEKXjg/xamRZMn0v50NPgJCUAlb1Fpu3vN1Mo5EInN2Ml6Puo2FqEQhsW5al0MikShbPGQ+nE4nW7duBfI1ZM899xxf+cpXuPfee5e1zrq7thbCUvCnn3667BMMi99jNRZJJpPh8OHDaJrGgQMH+OqTg/zTM9P1E0LQNZ7hP//wGJ9+407eemVzWY55KRaJ5T4Kh8NcddVVS4oBWRv/i31RHu8ap8bnJOjO37nH0hqPd42ztyXINW1VhY67S1lP0zQOHz5MOp0uCJqmG/zb0RFODSdoCbtxO2QmUxq/OjPJm/bWc+P2BqZSGi4F/GSJTk2QmoDnnnuOUChU2MQsX75hCp7tmeLoYJxEVkeWJOoDTvY0+QnFcwzH8oWtW2q9XNUaIriAAA5GM3SOJKn1OQuZYamcQedIkjbVoDlYGfUmF8sKWKyTsTVMamRkhOrq6nUPdFeakKykYSPkmzZe7IJE0zSXXQQOFWyRGIbBqVOngHx+c3NzeTbhmaxGSCYmJujo6KC2tparr76asaTOd5/rRyJfcW0aJgKBZgr+7yNnedPexmVXYs/FYkLS39/PyZMn2bp1K5s2bVpWNpJpmhzpj2IYoiAiAEGPymgiy5H+GNcscaaIFX966qmn8Pl87N+/v7DJnJ9M0z2eorXajVfNX4Z1ARdZQ/BCX4yrNoaLXEkBGuprGRwcZN++faTT6RJffnV1NZP4eGZQo9rvoj3gwTAFA1NZjgzE+e3LGzDJn4OAS1n0fIzEswgoSS/2OhXGkzCe0mkOrt3kw6WyXu6kuToZnzp1ikQiseJOxuVmpRv3WrFSi22tx+z++Z//Oa973evYuHEj8Xic7373uzz22GM89NBDy16rIoWkOCsLKBTxrAUrERIhBN3d3Zw9e5YdO3bQ2tqKJEkc6htHMwQux/QPXMr31VIViYmUxrnxJDsbV98Sej4hMU2TkydPMjw8zFVXXUVNzfLGzRZcW6aYM5tMkiS0ZbgBo9EoqVSK9vZ2tm3bVrLxJTI6mikK8+ot/C6FREYnp5s45qgTsRoYWimt0WiUSCTCs0cHGIxmkas86H4/fp+PlrCb3ok0/VNZdjYu/c6ugsahz0ulzGy3mgo6HA527Nix4k7G5aTSLJKVDrVa6xYpo6OjvPe972VoaIhQKMS+fft46KGHeM1rXrPstSpOSGZmZT3yyCMXpfp8qWiaxtGjR4nFYlx33XWEQhdSSD2qgjQ9uK/4pyJE/r+XUkC3FObKhspkMhw6dAghxIrjSNa6u5oCPHkmUtKIMaMZCAG7mxbvRSWE4Ny5c5w7dw6n08n27dtnPSfkUXE5ZBJZnYDrguUTS+s0hly45rDcZm5Axb782ogbT3UODzkS064XgCnTzeAIbK5Sl1x/0hBwcXI4QVozCkKX1vLXYI2nMu50KynAXXwsK+lkXG5eKkKy1q6t//f//l/Z1qqYGMl8WVkXo7HiUtePxWJ0dHTg9Xo5ePDgrJTIA+3VVHlVJlMalmYIU2AisbclwMbq8uSAzxQ/y8VWV1fH7t27V2zWWxbJdW3VPN8zyaG+aGHOiG6YXLkxzDUz2qDMRNd1jh07xtTUFLt27eLcuXMlf0/n8ue6tcrD9nofHf1R6v35PleTKQ1TCK5tC6PMU18z3534hio3L/blaKwNEa4KI0zBVCJFeixGamqcJ5/swe/3F2IrM10u0bRGJKkhS1Djd7K93sfpkQRY16gQbG/wE8wklnIq15xKE5K5Nu75OhlHIpGSTsbWdxIIBMoiAC8VIbF7bS2TYlfWDTfcUNK6oVxTEudjqUJixR0WqsNwqwqfv2MPn/jBUTKaAeS74dYFVP7qTbvKdszWhi+EoLe3l66urhIX23KJJHI80zPJs+cNzkuTvHpfkD+6aTNPdU/Q0RcF4IrWEAfba/AsYFWlUqlCA8iDBw+STF7IehqJZXisc5zO0fxGvLPBz3WbwnhVmVMjSSKpHFUeles3h7m8ZW7330KfbVdjgO7xNN3jaap8KrohmMpIXLOthdt212Hq2iyXi3VXPJh1cjqSI5HV821UvGohRjMcywDQGHTTHHZztmu0YjbwSmGpMYniTsZwod+UlWYMlKWTcaUJyUqOx0pquBSmI0IFCMliBYblmJK4EIsJSXErliuvvHLRdLwbt9bw07v288DhYU73j1LnMvij111T1ul7Vu3L0aNHFx2Fuxhnx5Lc/dg5+ifTJBI6HZNjPNWX5sOvbOfVO+t59c6lpS1HIhE6Ojpoampi586dyLJcGBU6ldL4zjP99E6kqPXnrbhfn4nQG0nyvutaeOX2WtI5g7BXndOlVYwlTH2TaY4NxhmJZanyqexuDHDb7lqODMYZmsricsjcuKWKyzcE8x1/nc6S2dyJRCLf1+jcEE/2Jgi4nTRV+/H6/MTS8GzPFK/fU8fG6sXPa1Y3kSVKpkSuNZVmkazkWGb2m7JauBR3MrasleV0Mq40IVmNRWK3kV8CQ0NDnDp1asECw4vRoXe+9VOpFB0dHUiStKy4Q0PQzQdfsYneXonx8fGyj3DN5XLouk46nebgwYMrnqBmmoL7nu1jYCpNe62PCSmF1+dkOJHjO8/28Vdv3Iljkc1RCMH58+c5ffo0O3fupLW1tfA3K/338ECU3okU2+p9BZdVlUfl9Gico0NxXrG1ZsF03OL1IC9+/358lETWwO9SGInnODOW4pbtNbxudz0ZzUCRpXk39mKXS0/OTxtxqp0GiUSC4aEhdF3nPB6aHCmu2948b4B4PJHj1EiCkXgWGYm2ag87G/1li4UtRCUJSTk2bkmSCp2MN2/evKpOxi8VIVnrrK1ysq5C0tjYWJj2Nh/r5dqyWqw3NzcX7rBXsna5K9vHxsY4fPgwANdee+2qfjADU2nOjadoCLinN3gJCWgKuumbnhi4UEsX0zQLca25rCJLSPon0jgdUkncQ5ElHLLE4FRmWcesGybP9uTnoWypuxBzGo5lebZ3ih0Ny9vIkzkDt0slGPQTDIVACLLZHCcGIoxNTPHMM324XK6CS8b6PidTGr8+O8FUWiPsUTGE4FB/lKm0xiu2Vl8U66RShGQtRG2lnYzXspv3SlmJkJimaVskS0WW5UVbWV+MYHvxbA/TNDlz5gy9vb2FFusrpZyTDIszobZt28apU6dW/ePVzXz3W2uDl6R8hplDBkPkK7znI5PJ0NHRgWmaHDx4cM7v0RKSoMeBbsxeSzNMErFJYslqgr7FrT1JkohnDUYTuYKLzKLOn69gH0vkaFvGXJHGoIveicyFNiqShORQqQ6HuXZXHa1hV8mdcTqdxu120xnRGU4pbGu8ELT3uxz0TaYZjmVpXeOW9JVkkVyMpo1L7WRslQpUkpCspK4lmUwC2DGSpbCUH8LFiJFkMvm7YqulSDab5cCBA4veDTzfO8lXH+vm8ECUkEflzqua+cMbNhWKDsvVx0vX9ULK8fXXX4/L5eLUqVOr3kxawp689TGZnt58JUAwGstSH3DRNk+W2dTUFIcOHaKmpoY9e/Ys2B5bCMGe5iBPd08yMJWhKehCAAMTScb6ztE7afL/hs9TEw7Q3lzPpuY6mmvD824EipS3ZmYKk2aYOGS5MAFxPmIZnTOjCUbiOTxOhVqfSq3PQc90kN4wBdG0xta6fB2KosjU1tYWYmPHjx9H0zSODcUYn0piTA0RDAQIBAP4fX4MAfHM2lnQFpVSRwIXv2njQp2MT58+DcCxY8dmdT9YLwzDWHaasyUktmurTFys9N/JyUk6OjqoqqpaUkuRJ89G+KP7OjDzo8NJ5TLc/Vg3xwbi/P279iFJUllcW4lEgkOHDuF2uzlw4ABOp7NgQa3WhHc6ZN56VTP/8Ksezo4n0TMmRiZHTdDLW65snjNDy0qO2LZtG21tbQv+QC0haa/18aZ9jTx8YpSz4ymy2Qzjfedo8kLYk7csIlNxIlNxnjtxFpdTpb25ntbGGtpb6vG4nIwncoxnYIuUb3PyYl8Un0tBVeTpBotZ2qo8s+alFDOZ0njoxBiD0QxuVSZn5Ef57m700xz20D+VQZUlrt8UZldjYE73lKIouN1udvvDuMaTVKsm8USCkZERejPniQo3Y+40MZ9Ys4mEUHkWyXoeS3En40wmw29+8xtqa2uZnJws6X5g/Vuok/FaYBjGsoeIpVIpVHXptU/rzSUhJGsZI5EkiUQiwfPPP8/27dvZuHHjkn4UX/rlGQwBssR0Z1kJ0xQ81jXOi31Rrt4YXrVry+om3Nrayvbt2wvHZYnHctfWDZPnz09xpD8GwGXNAa7dVMWfvGYrv+qKcOhMH63VXm6/dit7mksLD03TpLOzk8HBwUWz18YTWV7oneLcaIzREdgylmT/5mp2NgR45lQfT7xwjuZGN6oMYo7PIEkSp/uGOdkzQFY3iWgOcoqHeCrHqdwwV2+upb3GQ+9k3iUFEk1BFzdvr1nQIjk8EGMgmqG9xltw540ncpwZT/G2K5u4flMYSZLmXCOZ1emOpHl+IIPXadDWKiNLEjnFRUOjn7qGBvoiSUJ6Bg+ZQpKGtXnV1NSUfQOrFCGppJiEJWobN25k48aNy+5kvBasJEaSSCTw+XwV8x0vxiXh2lpJE7GloOs6AwMDpNNprrvuuiW3YklkdE4N5+shij+DJOWdQ890T6xKSIQQdHV10dvby969e2lsLB3HuxIh0QyTrz3RzRNdETQj/7qHToxww5YaPnJzOzsbA3QEpggGg7TPEJFcLldw+e3fv39Bc7tvIsW3njrPwFQGhywYisDXnujOWzhajGMnTtAUdON0OshksqQypd+t3+smkc6CyNfgnB5NMhrPEnA7SMZjJKbGOdNbxxuuauNNe+pJ6QKvU2FzjXfBILtmmPRG0lR71ZKgf41P5VwkxXAsy46GuV2ZsYzOI53jDExliMUNhCSISjFq/U4MIeibTCMhUR/0cPXGRppCbkzTJBaLMTExUahBsnpQ1dTUEAwGV7X5rrcVUEwlHctMUZurk7EVtLc6GRcH7ddiRvpKYiSWkFwqXBIWyVq4tqxpgYqi4PP5ltXPS1XyGUj6HMFoIcDrzJ/WlcRIcrkcR44cIZVKzRunsQZyLUdInuuZ5PHTEap9aqH1ezKr8+TZCFdtDHPz9to529PH43FefPFFAoEA+/fvX9DlJ4Tg4ROjDE5l2NbgQxgmUhx03eBrP32K7QEdl0Mmk8uRyeUwTBNFkfG6XfnNCIl4KlNoLxPL6EykNEIeFVWRSCHwuxQiY8Pc/+gY122upq2xlvYN9ZghFRYQkvw5g5mnTEz/H3mBzePUcIK+yTTttV6GcwoOh4LT7SCWMbh1Rw2C/Ovr/M6S+Fg4HMbrDyKFGpHjaVKJOKPROIODgwghSgZHLdf1UUlTCSvpWBazjpwz6olmdjJWVbXEDVaOFi4radpotUepFIFejHUXkqVMSSy3a8vy82/atIlQKFQI0C0Vl6rwml11PHh8tHA3JoTAMAUOWea3dtcXjn05m30sFuPQoUMEAoFZo3Bnslxr51BfFN00S+aH+FwORuI5Xjw/xc3ba2eJ08jICEeOHGHTpk1s3bp10Ys6ntE5M5akLuhEliQM8lZffPAc54fHqW+roiFwwecrAYZhkkxn8bqdJNIZfG4XiiyT0TWysSymKVAVCUG+VXk2m8PlkMnqJpmczrmBUc4NjALQUBNi64YGNjfXURsujU84ZImtdV6e6p4i7HEU4h8jsSxVXpWm0Ny+aCEE3ZEU4RmWTNjjoDuSJpkz5rVkUjmDp7on6Z1IIQSYQiboruHaXe3UOg0ikQhDQ0N0dnbi9XoL1ko4PH+yQTGVsslU0oTE5bjZ5upkbLnBytnJeCWurWQyuWZjddeCdReSxSinRVLcHdcqgoxEIita/89u286xwTh9Eymsa0uRJP7i9TtonG5/vpzN3poc2N7eTnt7+6I/zOUKiRVLmLWORMGysgRRCMHZs2fp7u6e07W2INKF7rmpdIre8+cJBEMoimPOGwbVoaAoCsl03sVV7OoKeJ143C6QZZyyRFTTcTpdZHUTv8tRsrFLkkQileHJw6d58vBpQn4PGxprUb0hvD4fAbfK1jofI/EcPeOpfIt7IQi5HRxor5pzVPCFczTzZif/vkIsvJmfHk1wbixJa7WnIFzDsSyH+mK8bk89mzfni++srKNIJMLJkyfRNK3EWplrQ6kkd9KlZJEsRHFQHihbJ+OVxkgulRoSuASEpFzpv1aVOsCBAwcKP86VZlbVB1z8+I+u59+PDXO4P0a1V+VN+xrZWlTAZ7mKFrq4i4PYyxkhvJglN5PLmoM82jlOOmcUsrGsjr5XbAgVjtcwDDo6OojFYuzfv39ZeewBt4Md9QGe6p7ASMfpOn2aTCZDDgduVaEh5CHgcWMIk1Qmh8ftJJPNoeeK6ngEJHN5C9TrVAi7ZYZiWXyqgqw4yAkFIZk0h1wFd5TikFGLxAhgaCLBrzpHiGV0FIeDUCjM9o2N3HldO7sa/EykcrgcChur3NQF5s+MkaS8JfPkuUmqvBeuk7FEjpDHQeM8WWKGKeiJpAl61JLsr/qAk/MTGUbjWTbV5K/BmfPTLXeL1THX7XYXrJWqqioURXlZp/8uRDkD/+XqZLzSOhI7RrIMluLaWq2QjI2NceTIERobG9m1a1fJhbaa9b1OhTuvauHOq1rm/Lt18cx3cWezWTo6OgrTFZdjyi7XIjnYXs1T5yZ4vneqkBRgCMGVrWFu3JpvoqfrOmNjYwSDwUKq8VLIWzEgyxKv2VXHcye6+M3pbiRJkNCg2iuxvcGPJATxVBqAgM+Dpul4XE6yOR3dMJhMa5wbSxGbrsOoDnhp9DtACCLJHPGMTsihsbXWz+b6IA5ZRjdNNN0gk70gRgLB+ck00bRO2OvAoSjIWpKnDh3jzJkzvOGqzWzf2Mimxjrcztk/fiEE44kc0YyOW5XZWudjOJalJ5JiLK4jK4JWD1y7KbxgaxfTFMxMAJu2ZZiv1nOmu0XX9ULH3NOnT5PNZgmHw+i6XrhRWe9NvBKOwWKtMsjm6mRs1a5YnYyDwWBJCxfrOFbq2rKFpIysZqMXQnDmzBl6enrmnbK4lnUqC2VXWUV91dXVXH311UtuSFe89nKExKUqfOLWrTxxZpwXeqcQAq5qC3PT1pr89L/xcYaHh/H5fFx99dVL+jFmNYNfnYnwm3MTJLMGW2rduDPjtDpTSM0BYmmNKTPJZRtDVPsu3LkHvF5iyRSmaSLM/LAWE5kzEY14zsStgNvjZSyaJJZSuHJDkLZqD/0DKRpqvQT9HtKZHD63i0w2h1N14PG50XSDdCZHRjeZSmv4XApOhwNBXiT9LgeTySxHzg1ytn8EWZbZ2FjDttZGtmzI16tkdZMnz07QOZIkpRmoikRr2MPB9iq21fs4dDKKz+3k2l31c1oysYxONK3hdsi0VLk5MhAn7FUL1tNUOn8cNb6lBXEdDkdJQWQqlWJiYoKenh4GBwcZHx8vsVbWY8xtJbm2Ltb8eEVRSr6XhToZW6K/HC6l9ihwCQiJw+FYUbDdSllNp9MLumgsN8Fa3MnMJyR9fX2cOnVqSUV9C609n5AIIXi2Z5KHTozSP5lmQ5WH39rTwLVtYW7b3cBtuxtKntvT00NXVxc1NTW4XK4lnQfTFHz3uX5+dSaCR1WQTZ0f/KIDychwzcYwO5vDqIrM8ZMTBN35uzFZkvG4VeKp9HRXrzwSEn0TSSbjKWp8Ki5Xvr1IfdjL8FSakXiWLbU+vGq+xkMIQdDnmbZuJLI5ney0O8ypOpBVGYcjjUuVMIWJOX37r0zHb8xpC9g0TfpGJhiOTPEfzx1jY2MtOYeP7oRMS5WPppCLjGZwdjyJJMGb9jag1TlxuVyzREQ3BS+ej3JiOE4ya+B0yNT4VEJuBz2RNB5Vzk99lGWu3hic1cgzltFJZPNZbdVedd5rwuv14vV6iUajeDwewuEwkUiE7u5ujh8/TjAYLJnvcTEshZeqa2s5LNTJGCiM5F5qJ2PbIlkmi12AlsWwHPN5amqKjo4OQqEQBw8eXPBLK97sy30BSpJUkgJstaQfHR1d0SjcYhYSkodPjvL1X/WS0Q28ToXBaIYjAzE+eOMmXrv7Qlt4wzA4fvw4kUiEa6+9lrGxsUK7mMU4N57k+d4pGoMuZD3D6c5OvLJGJG3QHUlR7XOSBnKagSIrhPz5FiyxadfWTNK5/CarOp1kc7nC4w5ZQkfB73EhyxICS0QyzJU8oOkGhsjf9U+lMtQGPAiRv7FI5gw8Trkw9dCpqggEmekYzZmBUY4NxhFIpJpqaayvo76mmg3hfBuZ0fj89Uwnh+I82ztFlVelrcZJRjPpn8rQEnJz/aYQ4wkNjyrTWu2hJXQh1VczTDr6Y3SNJknmDFwOmdYqN9e1hfEtkAAghJgVHM5kMkQikZLGhpa1spYV3ZVkkVRCcWRxJ+PW1laeeOIJ2tvbiUajS+5knEqlqK9f2giHSmDdhWQxiuMMi/kZi1uaL/Vu31rTMIx5BUc3TB4+OcrDJ8YwheDm7bW8cW9joWZgIawNP51OF4L98zU5XA7z1ZGkcgbff2EAU4hCMBdgcCrDD14Y4BVb88OprNG8kE8+cLvdRCKRJQdx+6cypDUDt56g+9zZ/F0p+XHDE8kcZpHwqw6FRDqHYZgggc/rQkYimcmQm7YkAh4nA7EcWi5XMpVQN0wcGPkiRcDvcSEkUB0ymn7h81sTDnO6QUNVgKALppIwNJnE6ZAxTHA5nWyt9+GQweN2ktN0jKJzaJj5efWqDCNjEUbHJ/C43YSCAQxXkGR27kQI3RScHE7gcypUefOWhtepsCHsZiyR46C/in0toTlfe2o4waG+KFU+lY1+N2nNpHMkiRDwqu01816/c91Yud3uksaGsViMSCRSqOi2phHW1NSUbRoh2BbJQlg3kfX19YXsx4U6GVdVVeHxeEgkErS3t6/JMX3+85/nRz/6EadOncLj8XDw4EG++MUvsmPHjhWvWfFCYm3uuq4vKCTWiNfJycllDXqSZTmfCjpPnEQ3TO76lyM8fnq8sL89fGKUH7wwwDfee9WCEwOt9ScnJzlz5gz19fXs3r27LBf6fBZJTyTJREKj1l/qOqn2qYwncvREUjS69YKpvWfPnsLxLKfI0alIjA8PEElGcDpVHJKKrusYpo7TqeQLAAGPy0k6k7vguxeQTOVFIZ6Io8oyVeEgzch0j8WZTGn43Q4kIJ7NZ5jVB1w4HQqKLJNIZRGSA4HA43TiUBV6RhOcHIqhmwKXy8Xg+Qhhj4NNNR7iGZ1kLm+Z1fmdBJwQ8HowTBO3U81nek1/r6oi41FlElkDj9OB4nCQymSYiKfQzWF+Zk5Q6xbsaivtCJ3TTdKaMauy3q0q03+b+5xqhsnp0SR+t4PwtKvL51RoDrnom0wTSWqzuhwXs9DmbRVEhsPhQkW3Za0cOXIEIURJ+5bV9HR6OQTbV4phGAXPhMXMTsZWB4TBwUHuueceHnjgARobG6mqqiKVSpW9nuTxxx/nrrvu4tprr0XXdT75yU/y2te+lhMnTqzYnbbuQrLYBWhVcS8UELcaG7pcrhUNeloo4P7To8M8fnp81uMd/VG++1w/f3BD27zrWrGXU6dOsWvXrpKhT6tlrip0AKciF6rui8+CYebbxU9GRukfOjdnX7H51pxJNqfRffY0uegY6ZxBaLrnWFY3MZDZ1hTG41RxOBykcxqC0jUFgkgkQjQaw+dx0z84jNvtYnPYzVjWRTyro+s6QbeD9lovdUEPmm6gGxc2ZAmJTE4jk8rQNRrH6VSp97kwDJOsYjKZ0gm6dLbVX/hhCCEI+DzEEunC507rglhOkMzqyEIn5FZJa4JY1kDNGWimIKebNIfdmLrG8Z5xOvvG6ByOsad9A9s3NuJW80IwmsiVFHwmsjpepzJvZldWN8noJl5n6cbnVvMFl2lt/mt+uZu30+ksSWUtbsNuFUQWTyNc6mZs1R1VyuZdiUKy0A1wseC3t7ezadMmtm3bxr333suPfvQj/umf/olXvOIVvO1tb+ODH/xgWY7pwQcfLPnvb33rW9TX1/PCCy9w0003rWjNdReSxbC66M630Q8NDXHs2DHa2trYunXrigdQzbf+vx8bYebv1Zrb8e/HhucVEl3XOX78OIZhFOapl5P5LJL2Wh/ttV6OD8XZqCoFURmN52j1mSSHu+eNzyxmkaRyBif7Izz27GHMXIa9zUGODsaYTOVjGoos0Rxy0xxwoCgymWwOr0vF63ZiCAlh5oV1eGSY8XgW01tD91QGhxygWhdUSVnCWhQPMt6ghw11PoJ+P6lsttDaZKYoxdI6OVOi2iOTme7JpqoOwn4HU1kz7xpTZBAQ9HqJJzOFDTiSzE9WzGoGiiIhhETQ66alysdkMu+6UxWJ5tDsrsLJdI5fPnecx148xe7NzTSEaxiOCwanMoS8KhnNYDKpsa8lOG+GlltVCLgUohm9pCAykTXwOh0LFkmupo5k5jRCTdNK+k8ZhlFwtdTU1Cw4GdQ6jkqySNa6CeNyWO7x1NbW8t73vpdvfetbfOUrX+Haa6/l4YcfJh6Pr9kxRqNRgEKsbSVUvJDA3G1SrDv9wcFBLr/88lUFphbqiZXTzekK5tLHBfk7yrlIpVK8+OKLqKpayLIpN/MJiSxLfPAVm/ibh7vom8wHtoUQ+KUstzY7uOHgwXmPZ76aHiEEj50e53u/6aLrzFlMUyfolNjXEuTGLTWMJrLohknQrdIQynfWTabz4pLJGSTTWdwuN06HzMDgELGsYEIOkZpK43JI5AzB+biJqPKxu62ebCZLMpVkamKC3vP9eDweqsNB3E7HrJ5YbqcTIZIYhln4jgzDIJszkJBwOVV8LhUx3cfLwjAF5yfS6IZJtS/vPnKqKqOxNJga12yuQZJlMpkcUpF4CSHwe930jscYjedIaQZHB6LUBZzUhoM4fFUIM4THpbJ/c35m/HybrEOW2NUY4FdnJhiOZQm6HaQ1g2haZ19zoBBvKUY3xXT2WfncSaqq0tDQQENDQ6EgMhKJMDo6WiiItGIr4XC4ZGO0rpdKsQIuNYtkPqz03+3bt7N9+/Y1OLI8pmny8Y9/nBtuuIHLLrtsxeusu5As5ccw02KwAtdCCA4usDEulYWq22/eXsszPZMlYiJE/u77lh2zg6/WKNyWlhZ27NjBM888syZ1KpaQZDWDJ89NcKQ/hkOGazZVcW1bFX/zlst4qnuC/rEo8bEBrt0Y5MDVly+awTaXkLzYF+WrPz/E6OB5PKqMKQnGEgYdg0les6sev9uBbph43U6ymkGu2CWTn5VFKpViaHiIqlCItEMll9VoDPvRdQ3DNMloxvRkQTchj4e66jCJdJZAlUY6lWYiGiOdSpNIZaip0vH7/Xi9HrJGBpdDIpnLz2+H/PeTzpm0VuUTGrK6QTan43KqOB0K6ZxGLJEllTMKd/0uVz5bzOeUSeYMphIZvE4FWZLwuV0IAYl0Fp/bSd9kirGsA9MUuBxyvnYko6MbggYtgxkfY8vWDeyqr8E1IyFjMJqhczgxXRmvsq3eyw1bqjg5nCCWzqf/XtcWZk9Tabp6TyRF50iCyZRG0K1ixnWW2ARhWRQXRLa1tZXMTu/s7CSXyxEOhwvWihX7qiSLZLk1WWvJSupaLDG/GNMR77rrLo4dO8avf/3rVa1TOWd8AYrbpIyPj3P48GEaGhrYtWtXWczYhVxbd17dwg9eHKR7PIk1lE+RJeoDLt67/4K7qrg/VXHx41rMbYf8DzeV0/ncz0/zbM8khshP2Pr58VFu213PXTe3c2WNwDHYS/tVS+vfNZdryzRNvvngswz2dVPltQK/EmGPRCSW4sxwlNZqD1V+L4YAh5nv9mu9l4REIplgamqKDU1NOD1eJsfGUCXI5bKYQuBQHQSdTkZjaVI5k8awWsjSUh0qalAlGAwyODSIy+UindXIpMeIpzOEAwFaAy7OTWaZSJrIEhhmvqni5roAsiQVakyyOY1sTkMIgceVrwcR6HjcbtKZfNB9powKIUiks/nKZp+bZCJGJGUiKRCethg8KCSzOkPTkyXdqsLh0+c5dqaPHW1NXLNzEzUhPz2RFI90jpPMGfhcCmOJHN2RFK/YWs0bLqsnrZm4HPIs8ekaTfLEmQlMIfC7HAzGMgwM6/hDWVrmbqpQNopnpwshSKfThaD9uXPnCkISiUSoqalZ9038pWKRWN1/15KPfOQj/PSnP+WJJ55gw4YNq1rrkhASy7V15swZuru72bVr16o/+Mz15xMSv8vBd//gGr7xZC//fnwE0xS8Zlc9f3BDG7X+vN9c0zSOHj1KPB7n+uuvJxi8MM+jnHPbi5FlmSd7kzzTk6LW7yrURsQyGg+dGGWDM0UwM7Ist99MiySVyfLwU4c53dM3a1qg5WJKaTpBn4fJRKpQZOhyqrhUFd0w8oOFpqJsbd+EkJR8h2RFIquZhavP0A1ypj6d5aXmpxC6IJ3Jlc57QcLhcGK6/Jwfj2NILrIZEx9xasiiKS4U1UXA7WBzQxWSJND02d+rJEkowkBFJ2Mq+ITA5VRJZ3MksgY1PrUkG0+WZVyqg0Q6y1QyR1ozaQx6UCRBbtrl6lEV4jkDHZn0dLsWwxSc6B7kRPcgm5prmcJPBiebay9Y0COxLIf6orTXeucMymuGyZGBGLKUH40MUOVVGR0SnB7Psl8zcKsXJyYgSVLBVdva2ophGIyNjXHixAm6u7s5ceJEoT6ipqZmXdqgv1SEZC0LEoUQ/PEf/zE//vGPeeyxx9i8efOq17wkhESSJLq7uzFNc9ZGXQ4WmxsS8qh84tVb+cSrt876WyKR4MUXX8Tr9c7Zn6pcc9vnOuaOoXyFuKdoIwm4HAxPJHjmbIa/eOv+Zd3VFFskkWiCf33sOSZjScI+N8OxHA6HiqZrhT5dSBLV/ukAdlFxYE7TSWezjAyPIEmCLZvb8Hq8JDNZFEmiJeTm1EiCjC7hlMEQkNTyqa8+VSKRzMcyVNWB26liCpNUOotAoidqMJqKoEgAEhFTUBfwsWtTPYaWJZVKY+pJBvtj+SFFiorH45nVOkSWJXa1VHGkb5LBySyyJCFJCtUBL+01rsKncSgKiiKTni5alKV8/6xUJovLIeN0qsiyRDKjoSoSuq7jcs7+WZ3qHeHE8FkaqoO4t7RRV5OfxljjdzIwmWEiqdESnr3hxDM6sYw+K14SUCWSOZOptE7jRRKSmSiKQiiUr4/Zv39/oT4iEonQ29u7LiNuK01IVhL8NwyDdDq9ZhbJXXfdxXe/+10eeOABAoFAofo+FAotmFixEOsuJIvdsUSjUaampgob9Vr0Elqp+2l4eJijR4/S1tbGtm3b5vwsa2mR6KYoCT4bhkEsFkUAzS2ty74QLYuke3CUn/7qENnpzbM17GJ4KkUkruNzq8iKQjylUeN3E3bP/tFqmsbg0CBOh4rX5SaV0UgbKXQTagMedm+oJpUzGYymSegmqsuFx2Gyq9GHWtTlUNcNEtMWhcflIoOD0aRGwO3AOW0h6aZgLJ6jzu/MZ1fV1RBLpNE0jXQ6TTqdIpWIIkkOJjWZhOkASaEu7KXGrbCnyc9ESiOrm7gdMtU+J26HhM/jAiQ03SCr5a0OU+SHmoVcCrGcgUOW0DQNSZJJTlspPpd6oY9+ybmVkKV8nOW5o6eoDgfZ2b4Rj9eLQ557vC/ka1scskTOMEssD90EhyLjVNa/YaO1cc+sj7Bme5w/f54TJ04UmhpaEyLXwlq5WL22lspKjieRyE9fXasYyT333APAzTffXPL4N7/5Td7//vevaM11F5L5EELQ19dHZ2cnfr+furq6NWtIt9zGjUIITp8+TV9fH/v27aOhoWHe565VjESWZXbXOumJ59AME2Ho+RRBhxOfx8EVbUsryJxJZ98YT3dPluyFjUEXl28IcXokkb/zVgUNAZXLmgJUBTzIkkQ6k0M3TFLpFMPDw4TDIZoaGjjeeYbBkSTj6Ti6YeJRFTbVetnTHGBLg59k1kTXNaq8aomIFONxOckZBuOJLLou43Z6UB0ODMNEaDlkCSZSGjubw4X0XqfTidPpJBQK5efQDE7RH8uCyCBJMDKVIOBR2dcSLmlZYmGY+dRhJImEJtEzFiOtGYisTrVPRXWrTKY1ZFkBTAIumXpfvobH63KRzOSHcplCoBkmTkWhIeSjN5Ig7FWZmIrx5AtHkd1+DlzWPqvwUDNMMpqJW5Vpq/ZwdDCOy6HgcuR7dkUyJlc0qSWWSipn0DeZJpUz8LkctFa5S6zVtWC+qvaZI26t2R6RSIT+/n6AkvYtqymInHk8lSYky7VIUqkUwJpZJGsxgqAihUTXdU6cOMH4+DhXX301w8PDa7IZWyxHSKxmkJlMhv37F3cdraVra3+Lk560iyN9Exi6htPpwmE62N9exYHNy8sJNwyTxw91cuL8CHKwgVODUZK5vEtlS52PtmovLWE3puQgk83PUJeQClXqIMhl0kQnxtnQ1ITP7yeT0+iJCWJGBr/HiUdVyOgmxwfjyJLEjsYADpEGp4LHpeJQ8vGF4gvd53GRyubyd75SPhHXNAyy0+fUoTpw6BJej4t4au5eWEnNZCILNSEfLodCLpcDBKPxLEe7h2ivyru/PF4vbpcLnyffrNE0Tfon03RH0siyhN/jZjyZJhnV2NMapK3OTzJroEj5AVmyLGGYJvF0vg9YLCfoGU+Q0008bicBp0TYqxJL64Wgvt+M03e2i1/IaQ5c1o7f6+HEUJwjg/nmjz6nQnuth/ZaL/2TafTpscANHokrmnyFTXw8kePR0xFGivqBNQVd3Ly9hhrf2rmUlpqGPHO2h9W+ZWBggJMnT+L3+wvCstJJhPDSEJJkMonL5Vr3xIXlsO5HOvMiTCQSdHR0oKpqoSfV2NhY2cftFrPUzT4ajXLo0CFCoRAHDhxY0he9lq4tjyJ4e7tJnWEyLtfidbs4uKWaV++sW1IfMItUJstPnniBrt5hOsdzjA+PwHQNxmBcZzw5xdWtQXY0VxNNpnC6Sy1DIQTjkXHi8ThbNreBlG9noqMQ0yV8LrnQPkR1yMQyBn3RHE3B7LTFJkhn85s7Arye/NAqWZJJpC8UEAacEuNZyEy7oSBfpyKEwKfkM7EcilywBiwSWR0hKTgVOT8nfvp7C/lkFNlLU6OXqWiM0dFR3KqC7HDh8XqQVReD0SxOh4zPqYDQ8ToEOVQiaZO6gITHN/c1MDCVpieSxqkqBH0eYskMU0mTjVVuGgIucoaJKssEPQ4cssTJ3iH6x6aQ3T4mJD9+l5OAWyGR1Xmqe4obtlSxtyVAMptvxdLXOUTIk39vUwie6ZlkJJ6hrTpfx2MN1nq+N8prd9WuWdB7JVXtkiQRCoUIhUK0t7cXCiIjkUihiLd4QuRy/PaVKCTLtbYSiQQ+n69iUqqXwroLSTFWzKG1tZXt27cXLgiHw0E2O3/n1dWiKNZd6vxYc963bNnC5s2bl/wlK4qCpmmLP3EJCCE4NZxgKq1hRjOkI+P4/X7+9K03rNg1MDYZ48ePPUcskSapGQwnBR6vtfEL3ApMpgy6J3NsaxK4Xc58kd705zdMg5HhETRNY/f2bWQ0HQRkchqjU2k03cQTcOB0ujDN/F2+WxUkUll0049DkbFu2PLtNkzS2Rx+j5tIIkkiB4mciWnoOGRoDqiMZ0ySWQNJkXHIMo0BlfqAa1qMpmshvC6EKUhmsvg9bgwjiWFKJd+bKQSqJCEpKtU1NWxu3UA8lSIyGc33P0rmiKQUqn1ONNmJ6nBMJzfIRFNZkPx4XQrJTLZkXc0QDMeyuFWZoM+FpmkEPA5ypsRYIkdj0I06I7bhdTuZSmY41jWGQ3Vwza52fMFq/C4HY4kcJ4YS7G0OsmE6ID8kX/gsE0mNoWiWxqC7MH5YkSUagk4GpjJMpWcH68tFORo2ziyITCQSRCIRRkZGOH36dL4gtWie/UJ3+JUmJCs5HktILiUqQkiEEJw6dYqBgYE5Yw5rOXzKWn8+q8GqoB8aGuLKK68sDLJZKuWySAam0vzNQ110jiTIaDqSnuWKOpnPv+eaObOElsKZvmF++exREtMuoVjGIGdCdVHqqyIr+N0SY9EUo1NJvE4Fp9OBW3WSyqTp7e1Hdars2rGNVCZHcWt3l5ov6MtqBrKSLcS4DGQ8bnlWgFmSJBTZgcftJBJLcXQwyXgid6ENh4Cd9Q6aazykdQndNAi4HFQXDY6C6dqP6c8U8Hpw6iY+l0oso0/fxUvohklWzxctSpJEwOsmmsoACs2NDThkmb7xKON9U/mAeyYGgNOpkkpncXsUNF0nhYnXnbegLOspqxnopiDkdaNZgXpTIJkmuinhUB1gXrievW4XmZxGVjfylopi0HHyDDXDQXZv3UTI7WI4liOW0QqWXbH7zxT5WIwy43wqcn4uvTHfOMYyUO6GjcWTCDdt2lQoiIxEIpw6dQpN0wiHwyXz7EtuDipMSFYaI7EtkmVimibPPvssuq5z4MCBOZV4rhYp5WQ+ocpkMhw+fLhwbCupoC+HCOqGyWf/vZNTwwkCqkAmi+Zw8Oyoyb88P8D7D87fOHIuhBA8c/wMT3Z0IkS+7sOpKnjdaUBgTjd4dKj5gLau68gShY1K0wyisfzQnpqqMK0tLSXt2C2qvSpBp0Qsq+P2eshm89ML05rBpsYAPrcTp9OBpumksxqqquBQHCTTWc5PpBlP5KjyqkgSJOIJUpqge0rnliYfboeEblgZVWK680D++HRTMBzLkDJk0gMxav0uNla5GYxrRDMGupZFkWUaAi6agi6CXs/0nJTpRo7TdSC1QS8tdRJDkwlCfj+qQ2EsMkkyJ3ARZXw0g9fjIev14nI6C4KS0wWqqpLOaSXFhZopkCRBLqcR8l2YOZ/JaQgBDjkvrpphosgKkcl8QL6uro7GhkbcjtLWJNbnrfKqVHmdjCdytIQvJA5EEjnq/K5C4WThOIoC+TPrg5bLWm/cMwsirQmRkUiEs2fP4nQ6C6JSVVX1khCSS22oFVSAkMiyzKZNm6itrZ33hBdXtq8FMzf70yMJTpwfIzHczb62fKv1lVbQl8Mi6eiPcmY0iV8xEJpGKBjANEy0WJqfHx/lndduWHJRmm4YPPTUEU52DxQesyq+A6qET5VJGTJVbhVD09CNfBv0LXW+wqYYjUYZj4zT3NhIKBQilkxPf9Z82qxhClLpDLIk0R6WiQgv44kMpsi3FNla52NzrZesphdSawNeN7Isk8nlZ5kMx7P5zyQE8XgCRVGor/YS1yQGJ5M0hdwI08TtdOKQJVLZ/LwTEzg5nCCSAWP65mMknqMh4GJ7nZdYRkeWvYR9TtyyIOB1EysakmUKQTStoZsCn9NBc0AhnXGSNiWiSY2cUGgIOdizoQojlyWVThMdHs4XU3q9+P0+qsMh6vw6PdOTFZ2KTM7Iu+Nawi5cqkImp+NxqiiygkPJF05a0xEHo1lkWcKpyGQ1g5Pn+jEyaaZ2BAl78802hRCkNBMtliXgUriqNcgTZyboHk/hcSrT7V8UrmgNFiw/3RQcG4hxfDhBOmcQcDu4rCnArib/rB5mS+VitpCXJAmfz4fP5ysURFrz7M+ePUs6nUYIwcjISKHVy3rf1a9ESBKJxCU1ZhcqQEgAmpqaFtxs19q1ZQXbJ5I5Pvq9IzzXO1X42/XjOb68xaDat35CMjSZJJnO4HFDIBRElhVyZhanIpHM5QvWliIkiVSGBx5/nqHxqZLHDVMgTQ+LavMbTMgORicTyLKE4lBprvazuymQD6qPjxNPxNmyqQ1FzQ+HsohnNA73RxmKTotIQ4DqYAAmJ6gKuHA43VQHfYR8+RoNC6/bSTqrFawaj8uJ6nCS09LE4ymcLidutxu3y81EKoHAk7/rlGU0w0QzQJJkAl6V85NpxtMmHgUcHgWJfPfjkXiWuoCTZivVVwj8nrxbS1Xy68QyGl2jSWKZfADf6ZBpDrm5tr2WwckEhnBhpMGjynhcTnA58QcCCNNkaCrJ+Wia1PgUDjFGtVel1uMlmjVImPkuwo1BJ61V+cCx15XvEKwbGvFsfrMxNI2mkBtDCCaSGslsvlZlQ7WPKjf8668Os2dzMwf2tHNkzODZRAQcCbxOhd2Nfm7ZUcP5ifwck211XrbV+2gMXrBQXjg/xVPnJvG7HPhcCtG0xn+cHscQgn0tKyvyXc8W8oqiFJpJQr4H31NPPVUoErYKIi2LZT3m2a+kINFybV1KVISQLMbFipF8/PtHeOH8VMnfnu+N8l9+eIxvvu+qFa292vTfWCzG+PkunA4J1eObrluYnsehC+o9amEo0kKMRKL8269eQDdNvB4XqXSWiVSOzuEEI/EsigQtYTdht8LuDUGGok6yuonf5aAp5EKWYGpiDEyDXdu35mePFM0HSWsGz/ZMMpnUcKkyIHGkP0q1W+HqjRtQhUE8kSAyMkjU4cDr9eLzeamtDpPKlKb8ZnMaTpFhIJ6kpTaIy+lElmWmEmlcDrnk8xbuOCWJrG4QzwoQEn6vm0w2kx9JK+VlK5LI0hR0Icn5RoxWPy9JyjdtPNsfI5rRCbkdKLJEWjMYTBi4x2IFARpL6yiyi4DXTTKVxUQwGM3SM2WA5MbhNsnkdEayJi2OLNUii8Op4lQdVHlVFAk8TpWsZpDK6pwdTzGV1hFCoKoOanwqrWE3jUEXOUMQ8DhxKlIhC+149yCPHu9nLGWwb3sddQEXiazOb85NcsOWKl6xde7xzYmszvGhfA2LlQ7sdzkYiWU5OhhnR4N/Vo+vpVBJ0xGtqaO7d+9GVVWi0Wihyr54nr01IfJiHPdKChJt19Ya4XA41jxGcn4qxzM9yVl/M4TgN+cm6B5Psrl2+V/uagoSrVkrr9jTzvFciufPR9GmO85OpTRMAXdc0bRoqm9n7xA//00HelHfqVhW55neOLGMhlMCDYnTY2ncpsnGjRLtRZ81p+UYGBzCoTrYvqWdZDqLz+PKN47M5Ar1FpNJjSqfimP6DkzTdcaTOUYTOm3VXqpcHmrr6hGGxlQ0RmxyguHhETweTz5oqroxhEQmGcNrJKkN+ZhM6XhMhZyeRXU42FLtLnT5LcahyKiKA11PYhgGmqbhUByoqkpOyyHQ8xuHEDgVB/GUNdwq/69/PM5kKkdDyAtCkNM0qvxeRqJJhmPigiVD3oKLpzL5jDPZwWA8itOh4HZIgIzf5WAylSOtONmzuYFsNkMumyWbSjA1MYHqcuFyu+lLwGTGJOzJC5duCIam0nhUBxvDThzTI4KLBTurm/SNx4lGpxgLumkM+wvCcHwoweUtwTlnvccyOqmsXhJDAQh5HESSGomsjsux/HqTSpuOCPmbt+KCSIBsNltoNtnX14ckSSXtW8pVEDkT27V1EVnKXPW1tEgSiQT9U/mMnfnom0yvSEhW4toqrpy/4oorqKur45ONOb76eDfPdE8Qz+gEXA5urNd5yxXNC67z1NEufnP49Ky/dY0kmEqkqfKqOBwqSNMDsCYyDE6laavJf9ZUKl+pHgoF2bihJT+aFgr/H0nC53UT1xIoioxTzY/cFVyYUTGV0mibro80TAGSQktLC5lcDlkIhscnOdwfZTwZwUBClWBzvZ/rm6oZTWqMRtM4PU4agy7qAy58HjeyND1fRAKnQ0GSZDI5jWqfyvnJfOaUS82nded0E5fTxYZqPy6neqHliSmw+v1m9bw7S9Py1pHXm5/KqCr5aYVzbZi6YebjJoZErT/fht56jtfpIJ7RyRkiX+zo8eBS863nY4kEIxMxBsYzuBSJtHDhVFVUp4rPqTA4maQ17MalOktmqADkDBPNMFFl6B8dJ57KsGfrJvyBAKOJ7HRn4dk/a7dDxumQSWsmgaIAeyqXj824V2CN5M9h5QS3i4VkJi6Xi+bmZpqbmzFNszAhsrgg0nKBraYgciZ2sL2CsISk3Hc/Qgh6enro6uqi0bfwhbOpZmUzT5br2tI0jcOHD5NOp0sq56t9Tv7H63cwGs8STWu4zTRnTx1HnqetiKYbPPLcMY6d65vz72PxLKoioTpV9OnMJ0Q++ympQ8DnZmh4lJGxMRobG6ipqr4gHsUIQTKVQRg6yMp0W3i1pHbGUVQzIUsSHreLeCo9/XroiUNMeHC5smDq6EKmczRJJpViU7WbXTX5jrPy9A8ymckfh8Mh43O7SOU0IvE0Dlmmxvf/s/ensZKe2X0n+Hv3Lfa7L7lnMrkWq1gbi5JKi2WXpR7AaqkHsgcYa+yBDX3QJxkDSMDA/iIMjNGMIFhtQxhgWjK6PW615LExtmxZUkmqKtVeZLKYJJO5r3eLG3u8+/I88+GJG3lvZpJFJkmJ1V0HKBB5K+KNiHd5znPO+S82x9ou94YpYVbNroHGsY7DcsPFMnRs2yacobSkVEnCs3R0ICtK6oFPPPutlWay7JuPvO8sw8A0JUJUJHmO51gIISnLCjFj4h9cHtsyKYVKpJ4fsOnXuZft4xmSqiiI4ggxFWiGiTTsGamyohF4hEk2b/3Zho5p6MRCtTfjNOPi1ZvUGk2Ob6wp4uQjohMo1eGLW1N0DQJHJbp+VPCZk62Hkk8lpNIfs/R3HMR/VCuSdwpd148QIvM8nztEvv766wghjvjZH7TMHvc7Pc6MZG1t7bE/868jvm8SCajs/kHJBpRlyeuvv85oNOLZZ5/ljTfe4EfPLfCX1/pz3xFQXuQ/9sQixzuPl0jeS2vrYEgYBAEvvvjiI4eDy3W1Kx+NyrfVzJlGCf/hS99hrz9WSBfPRtM0kiyjmv04x9SISosiL+4bdqGsbGVVcv3WHcIw4vyZ0/i+T5w+mhAqASkEZ1aa3B3uECYCz9LRNI1UqKH0al21DUxDxzTNeSIA1XLZGSdUeYpvm/i1Bo5jM4oLxkUGusFoNKK7v4/rOHMZc9u2sQyDSztjbuyH5NJAl4K2Z3BuOWCx5jCKc6SExbrLYt2hLKt5e8/3XCoh2eqHCuHj2izUbIYZFGGKoUFSCCxDY6nmEnj23NcEVBLRDR3P1Kg5hkKDaaq6Ni2LOC7YbDrYpo5lmgjJEYi0rEpqrk0lJYFjExBQVYJRlGJogt3tLSzTwPd9Go0atSBQ5lymzmLNZn8AcVGx4HmMwpTtYYRLTlEswywpSCnZD5U0fsM1eelUe854351m+JbBxzcbfOp4c/69KiF5Y2fKGztTwqyi7Vk8t1HnieVH8xo+ahWJpmnvObHZts3q6iqrq6tHCJG7u7tzQuRhP/t3mxiEUJuUx6lIftDaeoz4Xhf+IHl8UIkkiiIuXLiAbdu89NJLlGWJEIL/x889y6/8+zf44uWe+l7AT5xf4p//t8889me929ZWt9vltdde4/jx45w9e5Zr+zFv7fUIbJPPnmxTe8Cr4u2Ou9sf8R/+4juEs5aIlPJQJSFnbSGd8xttvvLWHhnGfMgaphW2DmY2Ia0kT547QymZcSyUdImhq7lIVamHpBSChu8iSDm3XONmL2YQq2rEMXXOLQesND1810EIQfhAQhpOI8I4YbHm4LoulmWS5QUGFdK0WVldQatK8rIgjmPiKGI4HOJ7DuPK4vqwwjBNAhtKKdkNJVJP+diaz2Jg41gmFRyZDwHc2p9ybT8iLdX9Z2kVT210qMcZu5MUISSdwGKj6dB0DSZhgqZruLZFNxHcvTchLRRjfLXhUo0ShvFBFab4G0+ut9ClQKI4L/0oZ3+ak5aKSFm3dXYnGdK2QJbkpapWTrQcFmsWaZIQJwk373UZphW26+PaSvxx0QXLtlUlZugca3sEesW/+dPv8OMfP8fx1UW+dG3Atf2YJFeyKk+sBHz+bIcXjlVzd8gHxSJfvjPiL68PcS0lC7M7SdmepJRCPuTaeHB/fZQqkveb1B5FiDyoVg4IkQ/62b/d7z/oRDzOsP0HieRDiINdxgcxJzlYsDc3N+cyLEqaQ1JzDP7V/+Hj3Bsm3B0mHO94czOhx43vlUiklNy4cYMbN27w7LPPsrC0wj//r1f58ys9skL5kC/VHP4vf+ssnz0kxPio416+tc1/+fp3H1o074dGlivi34pv8NRGmxu9iFFaghQ4hsZGXVJ3DM6eOUmcFhz2DJxXJRL2opKr3ZBpWmJrglOLAU+u1FhvuvQjNStYDGzqrollmkRpTlVVuI6NZRpEScpwOCIcDfBdB820sWx7xgSX5KXANKAocmzToN2oEXguWaOB79r0hiPeujUizQr8KiOt1GA9ME12RxEnOx4nFj3iLKcsj56nSVrw1l5IWUnqswSdSYe39iKeXfE40fGoJNiGNvexF0KQZRlv7oRMpIvnVlRlyShWsvbnV2rkpZpfuJahiJRSYNsWRSnYGqVc70VUQnm1DyLFUl9rusR5RVGZrLQcmg4szobnvu8TS5PB1CDWC6K0oghLtgcxJxo6npHg1APqvodjHQAcKv74O28R4VB5Cxzr+Kw1HKZZxct3JtiGzk+cf7Q6Q5iVvLY1pemaLMwSTNOz2B6nvHp3zBPLwUMExr9O+O+D8WFUR6Zpsry8zPLy8pwQ2e/36fV6XLt2DcdxjvjZH97oHjyfP6hIPiKhadr7HrhLKbl27Rq3bt3i2WefPdKDPNw603WdzbbHZvv9JZDDx3677324vXZg2PVvvnWX//pml9pM+qMSkm6Y8c//61X+3//HT9CZLTKHE4mUkq+9doXXrt7BdSwSKeYtrMNhmSZ5WVFUOYau89yaz2bTohfm6AiMZISsNE6dOEaU5LzdRvPafsTF7RAJ2Lok1Exe24nIS8ETKzWah+C5Sr13Bu/VNNK8IMly+r0eosx59uwJ0rsT9mKBiFJsUyctBFklObXoYerKbOtg6Nyq+xRlhet6SDOh1bBxDY28KCjynLKKiUud7mCEr1f4vkfdd48MrfenOWlRsRA4gMRxHPS8oB/ljHOX1bYz92IBdf/lec7t7X1CXGquhWuB6XmIStCdpuyNE86v1OabHsNQyKEozclKwW5YomsaTX/WdkIyjEvivOSZtTrejEvTOPRdKyG5M0goK8lS/X6ffpoJ9tMpp1xJMh4QDQWu5+HPFIwLofHG9h51b8SqfxbNqdNwTcpK8NZeyKdPtOYJ9HCMkoIwL9l8YPPU8ixGScE0Lef330F8lOC/H3ab7TAh8vjx41RVNfezv3r1KmmaHvGz1zQNXdff8/n5QSJ5zHg3J/r9yKQURcFrr71GFEW8+OKLDxnGHNx8VVV94KSlwxXP4d+ZJAmvvPIKpmny0ksvYds2Ukr+8OIupq7NH3TT0FipO+xNM75yrc/feV4lwIOdcl6U/PE3XuOtW9uHPlXiuw6GrpNkOWlRcnOQ89bOiKyoaHgW51dqHO94tH0LPY/pD/osLS8zHPSohKARuKqF9UDVk5eCG/0EDUnDMWa8QkmYCW70U5491sbQIE5zGjV/NlQ/pIVUVezu7RHnFUtLSwg0XnpihVfvTrjbn1U4ps65pYDTS/fnUlJKmjWf0TRB0xRpsRV47I0ifNvENQxwXcpKINIKqoqd3V2FwPI8Go06nWaTJFcmVgcDZNu5nzQMXWMcZ2S5M+OhKI+V6XTKoN/DbSzAIMez77dapYSm7zFIFCNfm+3Q9VnS1DRNuRzGKcsNDynV+zQ0fFtnnJRYlk2alWhoTOMMx7JAY+Zhr1pQB+HYFkWV0x1XdM5s4NkGSZaRxDFhFNHv9yk0izDWsRC8dvk6x9aWObm5hm8b7Ec5SVE9MpG4pjFn05uHPjMrBbZx1Et+FBdc78VcuRvjahUbSXFkA/HXEX/VplaGYbC4uDjX3zss33Lz5k0Mw0BKSbfbpd1uv+u15QeorQ8xHlcmZTqdcuHCBYIgeFuHxYNdw4cl9w5H0RuDwYALFy6wtrbGk08+ef81EiZJ+RAvxNCVke04KY4cN8kLfu9Pvs5ef/zAp2ozAUUQUvD6XspbOxNVdWgavTBjGOcI2SaoIqIo4sQx5ai4190nTjNKIQFF3NN1nTBJFCJJakRZgW/ph/MDnqUzTQu2BhGLgUWroYbHhq7PRQOLouD63R3uRRo5FpenI1bbNU62S55adjnRsjBMC9sATR4aTEtJM/CZxum8SsqLkuXAYH+ik1U6ll5RVpKkgnZgc2azhaFrZFmm2hGDIds7uwSeh60paK9pWeSzJCJRFUB9toCGs88q0phhv8/m5ibdWAA5EjmzFtbQNMiKgsC1aNYDwijBse25ErGUEqQAqYiWhqHjODZppqTuXUf5rdiHWkZZUYIGNc9Rm5DZ321LVZRy/roC3zVpN2pzE6+iqgijhO1kyiRKCMMpvf6Ard09jh0/TavhH0kiWSm41Y+ZZiU122C96XJtP2KzpeFaBlFe0YtyPn3iPrLr7jDhv17aZ3+aM52klJVgaO7yt59eOsK3+auOv+7B/wEQZHNzU3Gr7t3j5s2b3Lx5c06IPKhW3o4QKaUkiqIPzR3xw4rvm0TyOK2tA0LfyZMnOXv27DtWPh8WV+VwtaPr+tz18cknn+TYsWNHv4OucXa5xit3RjTc+5DTrKjQtKMkwe5wyldev8Pqxjv1qCWVZnJle4itaziWQk3VNJ3BNObCzX0+uaxz5vQpDNMkzVU76z4aTMmwH/yzEXgU0wyNA6vX+59UCYmua1iGRiPwGIdqQK+hFsQojrl++y43IptMGtQcA9OyuNsP6U8NPneqPVvg1KKrBBAhTFIagT8zi5p9K9UlY73pkpeC24OEaSFxLJvFAM4vB3N9KddxcB2HTrtNWVUkcUwxjbC1itvdIa4BtmWRCZ2Ga7LacGafIdnf75EkMadOncTzXAoSfNtgktxXES4qQV4JTgYqebQaNeK0mG8ahBA0PEtJkqQlLdckSVNlL4BGx+JIEoFDXBFDp1P3GcYZC75NWQkljZ9V+Ca4lk5ZCYoyIyo1ru9NSYsK19JZW+ywN44xNYkUJTe3e1zd6vG3nllne7VgYWGBwnD5o0s97gzSecW8XLdYbTh0w5yyUuTX59brfOZEa36dv3p9yCAqOLvksy8jhBT0woyv3hjycx9ffWzdrvcbf92J5HDouk4QBDiOw2c/+1nSNJ1XK4cJkQdosMN+9nEcP5ZA7LuJL3/5y/z6r/86L7/8Mjs7O/z7f//v+Zmf+Zn3fdyPRCJ5t62td7vQCyG4cuUK9+7d4/nnn2d5efkDPf57iYMFpSxLrly5Qrfb5VOf+tSccftg/N1Pb3Bpd8rOJKPhmhSVJM5Lnt9s8tlT6j1X7uzwh195hTgr8FwL27KJ0/TIXETXNFzX4c17Q4pKENjW/HsIIZBlTm7YnDx9AkNTLHQ4aJnd/z5SghAVdd9jNI0xNY21psfWpMBGQ0dSCsk0K1lruGx0akwP8U0ksNvtsd/rId0WVSpYdHUM06QsCzq+RT/KuTdKeGr1/i7sYLBfD2aoGAlb45S7w4QoU62Z4x2PkwvKubHSlKx7y7cJXEfNGQ79kEJIolyg2x5PnlmitRBxdXfCMCnI8hyHkmXLIU8MDOkyGAyoqpKTJ08yTEoGScRKy+f8aoO3dib0o2J+nlcbDhstB99xmcQZhq4kWnaHEaVQII6zyzUu704ZJCVIiWVrBBacX61TlSW6rlNKye1+wt5UVYQHcjCeaTBMKqqqRAgFEHC53yrdHmdc34+xTBPLMIhLjXES0/FNciEpK4MF12OpZhHGCV994xbHGnf5RlenW9icWW7QatSQ6Nzqxzy1Vudnn19Q5EXXYKXuHHFi3J3OpGY0DYnayKzUHXZGKYOoeAgJ9lcVH6VEAke7EK7rHiFETiaTOcv+zTffpF6vc+XKFRYXF4nj+EOrSKIo4vnnn+cf/sN/yM/+7M9+YMf9SCSSdxPvViYlz3NeffVV8jx/W1n6R8WHlUgOHsBXX30VYO76+Hbx4qkO/9efPs//+I073Bkk2IbG3/zYGv/nHz6BqWt84/Wr/OWFyxw0PKI4IzMPuBEOhqaRlSUaECcZtqmha8qXwpgh37I0Q9MNPM8hywqkaVDz3JlaiDavSKRkLm4YJvfNm55ZqxHnI/pRjm4Y6JrBUt3h06cXidJDBmFSMhwOGY/HrKyscKVfIEWBYVjouj4/56ahMUmOXltNm+lhzXxF7gxT3urGFEWBZeh0pxn9KOfZ9TpPrbcJ0wzPNGeD+QTTMHBti2mUcm+UcKMXkxQVtu3Q2It5arXGCycXyGYIt4Zn0huM54xnXdMwgyZfubJPPPtqdXfKueU6P/rkMnf2p5QCao5BO7Bo+B7h7LdPkoLv3BoSFaoFZ5sax9senzjeYhAVGKaJFCUdz6KqSnzPJs1Lru6GbI0zJQpp6qSlYHeSc3opQEegGz4I5Rm/c28AKBOtrVGKaWgEtnK1lEj6k5K0lDy3UUfOEGgH5NVBDknokpgOq55GNBnT39/DdVxs2+PqTsWPnu08EnAiOZj3HVxiOW8NSz4cP/B3Gx+1RPJ2Mxtd12m1WrRarSOEyH/7b/8tv//7v09VVfyTf/JP+Nmf/Vm+8IUvPNS5eD/xUz/1U/zUT/3UB3a8g/i+SSTvZqE/sMJttVq88MIL74lz8mF5q4/Han7hOA4f//jH3xUU8EfOLvBDpzuMkgLXMvBtg7Kq+C9f+y5v3rgHKFYz2tEHN06yGbta4FgWlm+yKiUNz2QUF3gGlGWOZlhous1Gw5rNYyThrHVkaBo1z8a2bZIsQzMMLtwesDVOERLWmw6nFgJ++GyH/WmuhsGuxVrLI3AsiqpS8xkp6e7vk6Up6xsb2LZNLYqBjLIs0WZKBbZtI1OJa91/4BT73Z4TF7NScLUbIipBO3CwLJOiKBjFBffGBevNFOMBx8GyqgiTin5ScmU/pSwr2jWfNM/ZnZTkleAzJ1s4s/5cVkh83yeJptSCAL/e4ms3+kRZgasrxFu/KIizkk8Zbc6uNpFCkOQF9cAjTFQSqYTgzZ0pg7ig4Zo0fJOshCvdENts8MRakzjNkdyf1WVFRVoKhpmkZt/n9dQcg6SE3XHCp4430XUN11LqwDuzeyDOK9JCUHdNHMsiy3LQoBU4DKOMohJHhvUH0Z+EXN/d45nTxzh1/DiVqIiiiOEkZLc34Wvf2Ofs+sIc2nowW1wIbJZqCvxxouPNZkBKXflYyzuC6hrFBVf3I0ZxQcMzObsUfKj+8Y/DIv8w493KoxwQIn/jN36DX/3VX+Wpp57ihRde4Hd/93f5xV/8Rf7Vv/pX/ON//I//Cr7x48f/ahLJvXv3uHTpEmfPnuXkyZPvGXL3fsQV3y62t7d54403MAyDM2fOPPKmCtOSb98ekpWC5zYac96KrmvzhzJOM/7zV1+lN5qqqmGWO7RD1QNAzXeIUuUoWFbZ7Hfp/NiTq/zJ69uMohTTtHBMl9VA57lHSIdLYBKlNDQDwzD46s0Rd3oRINFQrY3tccYPnemw2nBwHYuyEpRVxSRW18c2dLrdPaqyZGNzE8MwcGyT9ZbHtW7EOCnnA9/eRLXLziw3qPsKKeZY1hwsADBNS5JCsbOlFOR5jqbptOsBozAmyisa3qNv5Zv7IVlRsNYOqGbtItO3GMUFvZntLUCaJkpTrNHk2OYal3dDhG6xsegr75eiQMtzBpOMN26mlCs1PN9jbXGBUZjMgQeDqFDWtp6ljMAkOIaksiy6UcFaVvDgnl3TNOJckOYFa62ALC+QUmCbFnmZkRaSJC8VQisvZna/BhJlQGboCmaaFcX8e8RpjmXoBI4NHL2vNaDpO+hMefXyTSbTKU+dOUmz0SQUDs8sGnzuqTrT0ZA7d+5w6dIlHL+OXWuyubrES6da/PFbPa7tR0zDEqHDyRWTz51uz83PdsYp/+n1LruTDFNXOm6v3JnwU88sPbbc0PeKj2JF8l4TW5Zl5HnOP/tn/4xf+7VfYzgcfkjf7oONj0QieT/wXyEEly5dYnd3lxdeeGHuTfBe44NsbR3MaLa2tvjEJz7B66+//siS/0tXe/w//+Qa/TBHIAlsg5/9+Dq/+PlT8zZEbzTl3//FtxlPY0Dt1n3fmQ9HD6DFzZrPOEoe4n6UZclwb5fnOwLjxCqGZVOzderW/VbHQaivqKFJZRB1ozvldm9KzTZxHRsNSPOcfphzux/ziRMLpEUxlzgH1Vq8s7OD67psbmxQC5QUSZaVBJbO85sNLu1OmaRK4iWwDZ5crVO3dZI0x7UtTNMgOdQhM/VZe07ct5O1LItxnGIYOo3ABfHwvSGlItnVPFctzoBj23MdsLRQC2wYhuzvd1lYWGRtdYkwyRknGbZto2samqF4TK7rIswczdIoy4LpMGFvr0u7WcfzPEzLUQKPHLW91dAwdTWjsU1jLhp5OGxTx9J11aKzLSzDJs0LSqlhG8ozBalQeFJIkqKi5tpYZcVS3WV7FNM8pCIc5mpmpSGo+w6TKEVKGMYFmm4gqoz1hsPNfsLVrX22e2PWNjZY6rT43Kk2ywsNlhc6nDh1mq9c6fKla1361wfI72xzuqnxzEabqRdwp9BZ63j8yLOrLM2kcISUfOX6gO4049ySP79Pb/UTvnxtwEbLfd/OjI+K/zUkkiiK8Dxv/r63m6V+1OIjkUjg4d31g/GoRJKmKa+++ipCCF566SU87/FJhB9UIimKgldffZUsy3jxxRcJguCRLPR7w4T/23+5QpiVdGo2hqZ0p/7td+5xYsHnv3lulZvbXf7jl185Yh4lpJzLn+i6TuDaBLWA8fR+EpmmpfI6FyUyGhB4LidPHFOGWLNF1DJNXNsiKwryokR1KAQL7SZ7+/vQ63EnNqkqiaFDWar3mYaB7ej0U0mS5Ud213Ec093bo9lsKttTKdmfZvSnKU3fpe2brDddluo2w0gt7G3fwjZ0DNPA1HXirICswDRNPNtiGic0PYu2b7EfZrR0C9d1iNOMKKvYbLvIqpwlIH0G21UnQtOg0wjYHoTYvoWGSnRCKj0s19QYjUYMh0NWVlZYXlyYe5T4lkGex+iuh65pczBCJaHT8DlzcoFJlJLlOXEU0e0NMBBMMo0y18ksHccyZ/eWSpIdXycvy4cIkgAN16QTWOxOMhzbJs1zSgyyouL4cg3XtuYM++6gSy5NbvUi2jWHM4suSZYrXxOUPtxiYHNqQT0P0zhD1w0u3B0R5koiX0NJyJ/oeEzSkiivGO1t8cyCwfmV+9bN37w15MvXx9T9gKc6TaZpyd1RRC2EJ/19Ai/CoyAe7BJqCwRBwDAu2BqlrDacQ9dCY63psDfJ2A/zDwUm/FFLJI/TagvD8PvOrx0+Qonke4VpmmTZfTTQcDjkwoULLC0t8fTTT7/v3ugHMSM54KzUajVefPHF+YzmUcf+4lv7TNOS5bo9v2mansXeNOM/Xtxl3Ur485ffPLLbfzA0TcExx2GMYep4tsvXr+/zxtaIrKyoKqXp9ONPK8JUfkiRtyhLilIlEM+xMQ2dSpSgNTheq5MmKVt3R5RlRhQpOKtpmpiGiZA6sirxXMUMj5KM6WRCv99naWmJWr2uWNT7CTf3Q/JK8VdavskPn1umFbiYh8T1TNNA17UjO/UkL9gaxui6zlrT45n1Oq/eFUSlzmgUoWtKuv3JGZtc2fZC4LpUQpDmOfXAZyXI2R1qTNIS3zaohCTMlEaWIxKSOGJtbY2lTusI2my57nB3mLA/Tag7JrZtMwwTPMvgzHKDaZyh6bpybnRdmkJJ0LdFSf/mgN3BBM/ScR2bSjPRdI2NlouUMI1TfNdmGGbszXSsAsfgzFKA69jKjVGAbVQ8udFio6FanFJK7u7scntcURoe9/Yi7H5KxzN44USbvVFEXkkcS6fl2Ucqzte3x0wyQcu3EJa6b4axAi48u16fU4IGgwH/5k++wxc+/SStRp0LdyfUPZOVWbXhWgamodMvBU889yQ337qIbduMx2Nu3ryJZVkYQZsoFtTso+zsg4G8eGDDKKVSGrYM/Ugl917jo5ZI/rdiagXfR4nksJT8nTt3uHLlCufPn+fYsWMfSPZ+vzOSvb09XnvttUdyVh517EGkejcPfndL17h89Tpf1nwCzyUvS9I0f+h1pmlgGUpJ1/c9qkpw4XaP794dYmjgmxqG45IIjS9d2edvP71M8AhDKIA4Tal5LnFaUvdcitl3PbPWYSceoGtgaIIiL0i1iqQQNBo+w/EE27aZjkckScz6xsbcIOj2uODy7oTANqg5FqWQ9MOCr17d50fOLhC4Noauq2SmaeTF/US7N814fXvCNFU7bM8yeHKtwd/+2CZXd0ZklYtnGSzVbcwHHtQ4ywnTAttx6U0SVhsOxVqdm/2YMKswdJUkFo2EMKpYXVlheaHFOEzJS8EkLTF0ldSfXa/PrHdLkiKlHTg8u9FS3IzZ0psWFTf7MXsTxbdZqFk8c2KZXlxyd39CLiRambDgCqqwZCIDfN/n5n7Glb2IvIKyUqZbG+2AswsO6/WW8jGxdDzLwLYMhKi4eW+Lu1NINYemY+I5NmGasT3JsfemPLfRUhuEokQi55uQtBCEucTWBKIscR2bLC+oOyajRFn6HjYLS/OCP/jSBY6vLTOOTVaaRyv9umtyd5AoxeOZgdTGxgZCCEajEfu9Hkayz6t7PU52XGq1GkFQYycsWa4786QEcHkv5JW7Y7rTHN9WasQf32w8Vuvro5hI3qth1kEi+bAqkjAMuXbt2vzfN2/e5NVXX6XT6XD8+PHHPu5HJpG8m9ZWURRcvHiRfr//jlyMx4nHbW1JKbl+/To3b97kueeeY3V19aHXPKq1dWrRnxH7xHwxrMqSwdYNNj1BUToUpSL1ObalDJly1YZSA+6KciZTfRDX90Ml86ILLMfFchysSjDJK+6OU55cPrrTOWiV1HyP6Qzee7Ar9xyHM75Hd5pztRuSlmBaPrIqOd4xWPIkOzs784f3wGWuEbgUpeTq7j6Ooc9RUaau0fBMhrHStDJ0DcsyMA011M9ztZhGecmrd8ekpaDpqXZUlFdc2otxDI0zqw00tDlz/HDkleDN7Qn9FJJ0iG0aHF8MON2xWWs6hFmFJgXT4T66rrO6sk6zHjCcJtwbpdzoJ4RJjq6p7/r0Wp1Pn2gRZiqhLTU88qKi5rtMo5RCCL57b0IvzPFsHQ2Ne8OUcVLyyWNNntk4zihMcE2daqZeHIYhO90e10MDqRm0A4daI6AsBfcGIa4hObt09DpFccLO7g62V6OIKhq2SeA55HmBa6oqqzvNmaZKvqURKCiyFAIJWJZJkmb4tpLsSNJMzXxsmzhKqA7dQ7ZlzrlGV25vc2UvpThxjHObS/PXhFk5Vwfuz66/kJJ7o4xBbOA11/n5H9/gP313h63BlP39kPBOj7pj8EKrw3jo0W63udZL+P9d3CMrxVzP6z+/0WWUlPzNJx8tLPlO8UHaTHwQ8VE0tfrOd77Dj//4j8///cu//MsA/MIv/AK/+7u/+9jH/eic9e8RQgjG4zFCCD73uc+9L7OZR8XjJJKyLLl48SKTyeSRGl4H8ajW1t94cpnf+84Wt/qxkp6oCnbvXEcvM54+c5RAmRelmmMgadV8hFTufIeTb1lWDKcxGuA4LrbrUuQ5GiDKgiwX1H2PsqqIkgxNUw6BNd+b/fvoDiidSYc8v9nkzEqD7UlOkqYsBjYrDQdRVezs7GBZFo7jMB6P6fV6LLabJMJAajq29UAVpWtzwyR75tGRZAVQ4M2Y7Fe7IXFe0Q6smQwJdOo+u+OIeyOlliuB+iEtrIO4tDNlKxQ4mqDpmWSl4PLOGGSTj23WkFXJzu4eruOwtLxMw/eYxhm7E1UB6cBS0yfNcoZxwWtbE1482abuWri2SV6qhXkap3iOyd4goR/ldAJrzub2bJ1+mNNPJb6T0wkc5Sefa9i2TavVYnuUIOMhgSmJo4g0SbAsC0vX2R4lnF7058fLsoyd3V1qtRqaWwM9wnftubQLgGXopIWSiKkqQVSJmSFWimdbTOIMzzZJCuX4KJGUVUmYVjR8R8ndoPxikrxke5QQzbxPXENw4c0r9AcDnjt3kgKdvUnOZ040WazZ3JaStJT8f1/d5dJuSFYKDA022x4/+fQKg7jDICpouDorToWRTbhy5QpplvOtocdE2Dyx1sKyLdpY8/P+ic3GeyY2ftQqksedkXyYgo0/9mM/9qFwfb4vEkmv1+PKlSvous5nPvOZD+RmkVLyZ5d7/KfXdphmFWfqFT9+/N3fuHEc88orr2DbNp/73OeOSBw8GI9qbdVdk//7zz7Df/8XN/n6lW3GO7dpWYIXziyy1nh0kmwECpmlQsOzLXzHIs8ytnd2aLkG+6mGZTuUsyRSzTSzGq7BNFZSGLZpYllKcDGKMw6m9EIoPsA0VTvOtaaLbegs1x18EwKvgZSCwWjC3t4eQRDMVU5B9c/3egOqJCaPMlKhsVD3ZoQ15n3wTs1FcNQjJJ1VGJphohvmPInYtk1eFFi6TpxXs1/OfKhe912mSUqcVfRTcDSBN5NUP/jv7f6UVV+STwfUghqdTntehYECPgghafo2ZVHiWhaOZdGdJHSnGaeXa5RCHuntJ3nJOMowTYsj6VIqxePdUcSxZousKNE05sgpTdNA0zBNkyC4397Ls4wszck0yb2tlFoQYBgGg36fdrtNq9UiKSo82yRMcuregeS+al25lnFEVHEap9Q8G1FJTEPnxILPlb2QUVrizOyDNSRLno5rGegaTLKS794dMZ21rISUuDN2fbc34E/6I04f3+SHnz4+l6KXUvLKdswreyWbLZfAMckrwZ1+gq7BL7x4bC5Xo2KVc+fO0R1O+fKXbmCKlFu3b2OZJkGg2n69BPpR/n2fSB5nRvJhyqN8mPGRTiRSSm7evMn169c5fvw4u7u7H1gS+Wf/8S3+l5e30HUNISRf1eA/X9b5g7MZK4137mv2+31effVV1tfXOX/+/Luy9nzU/OVYx+cffWaRVniTbGmR5UaAbmiE0VFEj5SSZt1nHB6G90rSoqI/mhBOp6yvLtFY8fjTSz0GYYxrGgipvMgXazabbW8OFS6rCsNQHuf1wKOoKobTlK/fHLA/vY/EarkmP/rUKnLu054SRRGjQZ/1lSUs10PZ1Sr48TRO54zd3I54+c6IYZRhIEA3KYXkxIJPzdbf1jPF0iSiKjFMH9MwyHKVYPJKDYofPC/TOMUyDRzHJE77c9HFg7ANnWGccXdnjxMrCywtdnAsk2l8f7Ae59WRnnw5qx4ty6IQSpyxfES1ahoaRVng1Pw5cMF1HIajiI53fzOgBuzZTFFYERUP5PJrroGh67ieRyRy1hs2Gyseu/s90jRT/JA8ZzQJWVtq0XETbg8KirKi7rtM4pRKqArg8KB6lJS8vjNlEucsNnw6nsHTa3W2xylxXrFQs1lruiwFFqUQOKbBnWHKJC3pzKyFNTRGSTnjONWpBDhiTDnaIYx8fLtBWlRc7qd0fG8u6mgbOsc6HvdGStLm1AO8EU3TaDVqLHVa5JVgMbDmpmX3dvboJYJb1yKCYpmFhQUq3eLNnZA7Q6V1dm4p4OwMVnw4PoqJ5H8LXiTwEUokD94UB22j8XjMZz7zGQC2trY+kM96+c6I/+WVrTl56yCZ9BPBb/35dX7t7zz9yPdJKbl9+zZXr17lqaeeYnNz81193tslklfeusmfv/wmlg6WYxLPUGm6oeM7NkII4iyn7ntMHuCIKDnykskkZWVlBb/WoGmZ/Oj5BV7bmtKfqB3hmcWA5481MXW14Bu62g0ns9bIAQz1zb2I/UgQ2CamoSEkjAvBV650+cknF9G1o1BZy/WxTCVDomnqOJWQVEJiGTonFwM0Xef6fkScl2hITgQGm17O7Vu3MG1lmxv4/hFF5rWmQzuw6ccFrp5j2w7jSC0gJzqPhnc7tsV0EquWT1li6urhlcA0SRFFzsbKEo1mDUPXmSZqUQ/jFImSR9kapuCo6g2gkpKyLGgG9tsOPpdqDresmN40oenZ2LbJIIzRNebij4ejP1EotMW6x/F2xu1RRm+aYuga+YyBfmqxRpjEiLJkY32d28OU692IQgzRr3dZb9is+zbDXCXRumdzrK10tA5id5rx1k5IXlbYhs6t/Sk7lskz63We32wetTSQUHMt+tOE7jih4dm4tklWFDOzN51JWsz8W2x8x+bWbp/be32eOrFGmeQUIqBuHV0wbUPxWbLi6H0vpGSalliGzjNrdf78ag/fNqjVatiuz1gLeGHT5Ny6Qbfb5dU3r/KdoU2/sKgHHoZp8fKdET96boHPnz3KGftBIvnri49MIjkcYRhy4cIFXNede3WEYfiBEQb/+M0uhqYdaVVomuII/NEb3UcmkqqqePPNN+n1enz605+m1Wq96897cP4ihOAvXrnEK2/dfOTrhRCESap4Ip7C4lumOecyCCHZ3+9SliXNZot2q6U80rOClcDiJ8+1iYsmzcDF0iFKMqSUWIYBD8BsQSGPbvcibB0s08IwDaSEQOaM4oL9aY6WjkmShI2Z3Amo2Y1r2wyjlGu9jGu7YyohaPvK7+TkgsextktWCgLXwtB1BRIoS6gK+oMxg34f07IwHY964FPzPT5/fpkLtwd0p2ous9p0eXajRWA+3Nut+UoHzLUM1mom13o5hmGiyZIwzojzkifXWnSaNRzbIp1xZqZximtbICXH2h77U8XD8G0DISRRXrHS8mnYGnmhuB8qmd9PKnXX5MmVOle6IaNUUEYRdc/lRMdk+RAyKcorruyF9KMcIdX7nj/RUVa204y8FLR9j7WmQx5NmEwmrK6ucn1Usj2VGLaLr0mizOJuVHG8VrCqKz/7hgt1w6LuBkyTDAncGaQIIejMKziDcVJydW/KsadWjkjc1z1nLo+j/iiUcZhtKzBHUaKqTnAtk2mczCTZNF6/scXe7g76wkn2NYOGe39GOJw5Rx5uT13eC/nq9SG7kwzL0HhiJeCZ1Ro3+wm7kwxD0zi54PNTTy+rrsCpk/Tf3GMy3GGjVpImI4QUxLrLn1xMONmyOL54X53hB4nkry8+colkb2+PixcvcuzYMZ544on5g3sY/vt+oXHlDBb54HE0OIJgOYg0Tblw4QLAYw36DyqSW/2Ym72Qa9euE01G7/ge0zTQNX3uty5nvXdRVVy7cUu1nyyXrQh27ozmZD99xs8IbIOiyCkkOLaJbZlkWUn+iJZSXgqElNizh1AKgRAC17EJ85Td7j6LnsbmTO5EfR9Jo+YzDlO+dmPAzijFtU0sy2ZnkjKMC1463WGpbtPyHTUTmSVT0zTBNFnfCNgPC165uc+4myBFyGpgcGrB4Xwn4KmVADQdzzbQQMGhi5Ji9hsCz2EYJjPpE4MnZpySu4NYDfGl4JnNNk+tNbBNg6oSCCGJ84rtcUqYKtmRsytNnl0X3OjFhJkSvDy93OBkW/FrDgbsjm1xvTulN80xdFiqO6w2HdbbPrvjBCElLc9isa78ToqqoqgE3703ZhAVBI6BCUwzydeudPmhs0sc6wQUs/u61+uRJAnr6+vkUmdnHOJaJjXHoSwrXMtgGBdEusWTx9ZI00SRQLtddnd3aTfrCN1hHKXU3aNtwMAxiLKSvVHMSsOjknLW4lMzN9fUaXoW3WmGY+rkhULRFRgEtmSjUyPNMnRNYxgX3BuljJOCNC5ZyHfIdvoMR+ucWl8iLSVJXvH5c515Irm+H/EHF3aIc8FCYJFXSo7+ufU6f+9TG0zSEs/SOd7xjrQZL+8nrHTqqsKTkizLiaKQK92Q//qXL/P8ejDXA3uchfvDjMcZtkdRRKfT+d4v/IjFRyqRXL16lVu3bj0SRnvYDvf9Qvx+9Nwi/59v3UPNPe+X+LoGP/7EUdjhaDTiwoULLC4uPjbxMa3g//XtPhf3dxhu3UQWivX7U8+t0/DsWYvlfgJzLdW3zsvDdq8wHE/Y2dnB932E3+HLb+6SlxG6HqNpsNZw+fy5RRxTn6u0qsSrPNM1NOqBS5IWR3r+gWMS2AZhLnAdjWqGhBpHCZQ5q806m6vLFLP3SClpBD5hnNGdZnQnGXXXxDR0QLBQcxmlJVe6Ieud5RnK7OEEtjVM+NbtIZXUqdcCirJiOynI+hXniiFlUeC6LrnvEwQBEep61QOXMCn42rUe22MFIGi4FueWA84tebj5iNzXOLGxwWLDV2x5dMqqZBgXvHJ3rAbKmjITu9WP+ezpRX7kCZ9xlNGq+1RFweFeYl4Kvnlzn15UzCqrkrujlDNLAc+sN460suIsxzSU6sCV3QnDuFBOlLqGbVvkWc4gFlzbm/Dx4y08x+Lm7bsURcH6+jqmaTKcZBQVNF1lI6xrOpZl4VmCMCsViXFm+6oW2AxNltzrjsizilEWE7gOlmVhmiZCSHRNw9A0kryg5tpoyBl6T22iTi74RFlJPyowZgg729D45MlFLF2j0HWGccEbuyFJIaDMySrYjyo6fknU2+LisMeZ4+v8Nx87wadO3l8Qv317TJRVnDkEba7ZBle6EZ873ebZ9bdBPB4WJtU0HNfBdmwWSpePPbvIiaCk3+9z8eJFiqLg9u3bFEXB4uLiOwJg/iricQmJP6hI3kfcuHGDnZ0dPve5zz3yRB4kjw8ikfzI2QU+f26Br1zrq/aWBF0HR4df+vHT89cdCEGeO3eOEydOPHYl9D9+d8w3bo8Ro20sUVBpsDVK+aOL2/ztZ1YwdI3A9eY6StkMx384wjBib2+PdruNGzT4z2/1yIqSumfPHfm2Rimvb0944XgTKeTMZtYhy8tZG08yje6jnYqiJC1KDF3j2c0W37qlhuMK1VOR5wVnFlxWlhYoKzXczcsS27TmUiKTVB3bPLSLFEJgIhhnzHa96UPnTkrl/Z5XkravY5oKPWSZqifvtpbpeIYawsYxw+EQ0zTxfZ+sUeflrZS9aYajK0OwXpgxinNOejlLDYcTS8toukaU5QSuO0eFvbUXEqZKil2bKWCOkpILdwb82LlFTiw3GUyTI0kE4N5IIbianoWpa9h2wDTOuDVQkOgHEUZKyDIH3ZjdXxq2pZIImtLOGqeKPHjnzl18x2R5eR19Nt+xTR1T18irSvnWS0GVCzTDxKQ8ygDXNJY6TSZRyunjPkM5ohcWVKIgDUOkhFQarDRcXFOJe4ZRQi/K2ZnkhLnARLLRcnl+s0F3ms+4IganluqYVERpRuA5vLEXkRYCj4KCinanQVFJokLy7HqAoUn0aI+3LkXU5UmeOL6KpuvcGyU0HrDi9WyDopL0o/wh7sxBPLVa40/e6rFQE3MDsF6Y0/BMTi/VWKo7rKys0Asz/qc//hb7PUl15Rar1mU+sRFwbHWRhYUFGo3GX6nsiJTysVtb32/uiPARSiQnTpxgfX39bX2NDzwPPog5ia5r/Pd/93n+5+/c4z+8ukOUl7ywEfCpYMTpxQAhBJcvX2Z7e/t9CUECdKcZX7veJ+vewTUV9FM3NECwM8kYxDkLgU2YJNQ8l1xW1DyXKEmphFBCe8PhfMhdqwXcHZdESY5v6cjZzME2TYRmcLMf8/yGkrwIfJckKx7CjR+gnUA5EWoanDIMEIIr3YhhlGGKgqc26jx3fGEOxZ1GKfVA+ZZYhkFRVVgz+fYHW46V1LBNjTDJqXkuRVmRl0c1w8ZJgWsqXxJRKXKlqWtohsUkVSzoRqNBo9FASkkcxxR5yqXbe9weqOG057ogwXQk3XHCwLJ5dnmFmco+rm0zTVIMXUdqBqNYtZi0OWhXo+6YTLOSpFID8brvEifZEc3c7kzF9gDKmucFdd8hGiUM4rc3c6rKEt0wsExTSdTMzlFZCTzTZHt7G9M0aS0s4zoW41hJ1XdqDjVHtZFanuKp5JVgmuY8tdag7jlzwEQpdb51fZ+0FAS2wWbboxQwSTUM3ydNUxqGpGOk7G3fY083iHG4Oa6opIZr6iS6wRu7IWcWPE7PFvW65zKJYpi1SydxSm+SYFBRCUGjXkfXdUxDI40LxmnJWsNBIhlMYv7om2/wzUs3+cxTpwgsje1JzmKgnCU1TVNcKF3pmj0YUVai6xqfOt7izjDlWjeac598x+THz3XmIpHjpOD3X9nhtb7k+EqAZ1nci3P0UKMRxty7d+8dHQk/jDjYCL7XRPID+O/7jLdLIIfjg1TotU2dv//icf7+i0oWYDwe8/LLLz9kjPV+L+q3L99h0t1Cp+Lw6TZ0jaIQhFnFQsAhIT+NvFB968B12N7eZjyesLmp5EfqvsdkuwscsUxHSqGSCko7y7GU4OE7UY+kPHBG1LBNkyfXW3giYuIUrK2u4Hv+oddK6jVvbjSFBg3fZbMleHMnZJKW1B0TXYNMKAmR4231oB+YXdV9b97G0zUN29SJC1URHiQ7IQRVWVJ3W3M2P6iWVrNRRzdadMsx1nSMbUIUxfMf45g6cXV/hlMLvHnlVAlBlJaYlon2CASdYZjEWYFv2YRJhmOZSu34AJigzdX7kSgflfxAUfgd7t3lusOdUcb+JKVdc6iqkiir0JCY+QSn5bO4uEiUV3z79kip8xomhhiy2lTaXJOkRCAxdZ3Nlstmy1HQbd9lexjzrRtd0lLM2lEKeff0Wh0hJWkhaAVNWp6J75hMw4gwirh0R0nQ1G0NNAtHt8g1jZ2wZKMlWGh4TKL46C5eQpbE5KVkpVPHdd2ZkrJGJSoMXZvDhpmtn5Mo44+//SaTHPYLH9dYZLHmUAi4N8rYaLpH2l13h0oh+FY/Rtc0nlyt8ZPnF/nYuoIuu5bBmUX/iBT9a1tTbvYT1nxYrts4jsNCYHNnGKN1jvEjzz3DZKYFd/fuXS5dukS9Xp/PVt7OP/39xOMmkjAMf1CRfNjxbl0SHycO1IW//vWv02g03rMx1qPi1Su3uXDxElqVUwqJO/PgqMqCciaJ3nAM6oHHJDyKCCrLkreuKm/ns6dPK4FEDSZxymJdOSGWQmIaqmWFVH389aaLZRpM4hjfdQCNKDnaWkqKiks7IXfHGUJIVhsOT60EZNMBmhQ8ceYklbj/+oPB+hHFWqm+i2ubfP78Mn95ZZ9JqhYV27E4uWBzZvFou2IapzPnQkWOPLNc49W7U6KZ5IYQUiUk16TjK9mUuq8Y2pqmrn86Y1zruo5lW4BGlmVqI1JqlFnM7Tu3WV5ok6YZrufOf3vgmAQm9GOJ7+gzVrwkKQSepdM65GmSFWrofkAkXKm77E9ziqpSQ/+8IC0EpgaBxRFFX4naUWtotAObj63VuLg9YThNMEwTXQpaRspmRy1mpZB8996EfpixUPcRVUGmmdwZpDy7XsNdMigqgW+bND1zLn6YFyWvb40RaCwE6lyAZBAV3OrHfPpka155ebaBoauEaXkBWDlLroaO8lqJ4xghJONQZ9TSqLtHF8Cqqtjb3aXjauwXDkUFWpZjGgbDpKTuKoXmgxBStaymqTqPxxbr9Cc9Xru4h9dss7S4xImFGj/9zAImFWUp2Y8K/u23t+iGiowoBHzl2oC9Scbf/+wmnzjWfORzdqsf41kG1SH7YdvUkVJjZ5zx8U2NZrNJs9nk9OnTZFlGv9+n3+9z584ddF2fJ5VOp/OuNrXfKw42vD8QbfwIxodlhwuKZCiEYGNjgzNnzryvHYqUkq+9doWvX7yKa+mc7Lhc2U9I0hzT0KgkVJrJyY7D8aXmfG5xEGmasru7i+d5LC0tUQqJpulEaUozUKiWYx2P692QQkAlBXklcEydz55Zmu3Ctbk5lO866LpGGCul2S9f7dOPZ20pKbm+H3K3N+GTKyanNtcohUbgOUghidOMRs07kkSmWTlTjtVYrjk0bI2fem6F3rQgE4Jgtig/6hweOBcGnsvT6y7jpOTuIGEYF+hoNDyLF441Z1IeM7SUaeC6NuMZUXOl4VBzDHqTGEerCHyfXIAuBZ88tclGXafbHxHFI4QQ+J6PH/j4vs/5lRqv3B2zN0lxHJssK/Edg/MrwZE5D0BRCbb6Ie2ax/EO9MKMfiKYjmKkBENXA+qFwFayKbbF3iTl9e0x46RE16ETOJxb9HnxVJtxUhDFCWUYsra6hOupBaMX5oySgpVWQFWqQbePZKxBN6r45Kb30MzGtUx2RjHjWAEdHMeZqWNr1ByTcVISZxWBY+JYBnlRkqQVjmWim8YM/q44OAcLZ5aXyLxiOBoTDboEnhJclJoxn1F97PQqb+1FdKcZSSkpy5SaY/LUSoOFukecF2R5yZs7ITuTFCEkpmVxoxdxding4xseYZZgR1uc2tjA09vouo6Ukgt3RuyMU84t+6qVjUbTM7m+H3FpN+STxx+dSALHpKgEiKPtVYnEfaBttjVKub4fUQqbjeVTfO6pp4mmqlq5desWb775Jo1GY55YarXaY60FB4P29/JeKeUPZiTvN96tudUHnUiklFy7do1bt24BcPr06feVRIQQ/Mm3XufitTvzv31iPSDPMnYTVTUYusaZBZuffHoVCfiOspXVNI0wDNnb26PT6dBqtdA0lJzHDKY5mUmkfOHZDf7y0j2u92KkDscbHp88vUTderiZdcAb8Byb672EflRS9yx0lGgjZUVSaky0AGO2mMapUrNtNWskM8tbISXf3ZpwYzYk1zXlo/HpE20WazYnlgIlE16JR5o3SakqjrwULOkGmhR8/olltvoh47TEMpQ0/GFFXykllm0yjhLqMxKhY2gc80uSRFDpDpNMJdEnVmqcWa6R5gWnjm8yiRK6k5g7vZCoN8Rhn7WGw1Mdl1FhkVbQXm6xHJhzx8aDz7zZi7nRi0lL1bI51gn47Jklbu9PVdLTNZZrNkt1Z77GdycJ3741IhXgmTqGobMzTJgmOS+eamOLjPFUSe17XkDdV1DdtKjQdZOyKI7kC0uHYZjgewuk+X0DMdtS1fPh2VeWKSFGXdfJy/uClrZhUAkxf26yQglQbi7UuNYNsQypCKhCkgqddmDwxIklZZ6VJOwMJuxMCya5xDFhsxpxfqXBEyt19icxpu6zECjL5oPNxjCV7ExzpfzsuaRpSpQrcEV7ZtULcPXOHlfv7LGx1Ob5c8e4O0oJnFnFJaRqgaLmIt1pCjw6kTy1WuPC3TGj4r7Z2940p+6YnF263wL76vUBf3q5x2RWJVmGzic2G/zM86u0223Onj1LmqbzauX27dsYhnGkWnm3XYrHtf39wYzkryDeziXxcaMsS1577TXCMOTTn/403/jGNx4Lsjc/3sxX/W63f2T4bJk6Ty/ofH5lnUlaUnNNlpsBUZIRzn6Pa1tMxiO6e11WV1dn5a0SVQzj9KHPSrKMMx2LVRMC3yGoBaAVvNMlTfOCvUmMphtYpkGWpuR5jmVZVIZGNzyqqFsPPEYzIch64PLKzQGX90JsQ6fpGQihpDi+cXPAf/vJY/ftcbWDVk/CwSQnziteuTuiO8nAsDC1EacWfJ5Zq7PS8lkS8pHJp1Hz2B5G3NiP2JvsY1kGdVKWXckXnttglFSUQvE3lhr+3GxrmqTsRhUv3wnJKoGGhZQm04nGE62CWjFhybExRIlNDc92SXL1+bf7Ca9vT9F1ZWlbVJIbPcVN+YmnVpk8AoUGarcbZkpixHVcsiKnHVgMopxr2wPqMmJ1dRXP95WlcZwRuA6dmkBsT6ikiXnouFkpWAxs4iRTKgKOSVFWSCEohRKmrDkm07Sk5VlUM+BFWkHHt6l7FmiScibRL6SqskxDY7NpMYpMxpmkSAsMQyewNJ5cqSnBSEMjrjQu7WeUGPiuTSHgzW5EfxxyoqFTC3x8139I8v1md4ImBY2gRjFTda45Jv0oZxDmD8nYTKOE//zVV7naS5lqPgvuMQLfn6tTC8AxmFksa0g0Lncjru3HFEJysuPx4skG/3Fvm+u9BN3QaLoWf+PJJY61vfm1+dPLPXRN4/yyQoVGWcm374w5seDx2ZNKSdx1XTY2No7I4vf7fW7cuMEbb7xBs9lkcVEhwXz/YZmWg3hcTssPKpK/gjBN8wOrSKIo4sKFCziOw4svvjgv76uqeqweaZYX/IcvfYe7e31gJv1uWcSzSkMIiWcb+DMfieiQiZKQgtt375GmKcdPHKPdrJNmJY5tPDKJSBRpsFGv47kumqwYjiYURYZAp1ar4fv+Q8gU2zSxDR0hStKkpBICz/PRNIiT8ojoX81TPf+Dx2QSpdzox5imhWtINDQMHeqOQSJ0ruxO7msqzZjjtmVhGIpU+a1bQ3bGKe26D6IkLSWXdqfYhs75VW0+jzgAHIBKRtuDkK/fGKqKRYd0GrGLjrbeYcMwWGmoa2VbJllZzgficV5x4XYfTddYClxEVSGEZBCXDKXLDz91gt5gRBTH7O112dreYandpNJMbvSUOnJjVqW4lk5SVOxNM+70pmwu1EiLcs63OYhpWmJoqJZZrioENIXc6k9Szj+xhvMAmVVIQds1WWn6bA1C6q7yek/yCl3TODaThSnKiqoS1Dyb3ZGC4AaOwRMrAa9vT+lH+Vzqp+aaPLlWo+7ZjKYKdXVvmHB7kJAUFY6pc6zt8fxmg1FcINCVCZcBtnmgOpzz+u0upWay2rpvl9vAIysr3JpFlkaMRiM0Tcf3/dn/PEUQtW2SRG0kLMtE13SIiocIvw3fZRhGgEbb07lzr8uXB/usLrZYXl4mN32W6g7PrDfVRrKq+I8X9/j6rTFlJTB0na/fGPL0qs+PrUpOPr2Kaeqc7PhHkHTXezHTtOSJ5fvUgsAxsY2C17en80RyOA7sETqdDufOnSNJknm1cuPGDSzLmieVdrt9JHE8zoY0z3OKovhBInk/8VfZ2trf3+e73/0um5ubPPHEE/ML/rjw4jjN+Hd/9m32BqP53w6k3w84GyNTx9B1LMu8v3NHVUU7OztomsbmsU1Mw2QapQSeC2hqgSxKhlFOP8qxTZ21hoMxI1MutJtM45RlN6CsSkRREMUh9+7dmynMKkXVWk2Z5azWbS5KQZgKGr4NSAppYBg6JzoqEQSekh05igqTJHmJLiWmpZwRq7LCdV2mk5isfBgJlRclsoCk0uhHJQsNH01WoCvmvRBS9c6XAwxdeaF4jo0QEssymCYpN/sx47Sk4eikaULDtdBNi9u9KaeWfFYCNUuRKGTWQfTCnKRQMiGiqrAsmzzP8CydQSKVtLrv4/k+LCyQFwVxFBEnCcNpiqFDqlXKt13XsHQIKyWdEqWKcOg71ozsqMK3DTTTJM9zQKOqSuI4QaCx3Gk9lEQsU4lXVkLw9IqHY+rsjtS59CyD04v+3JJW00BqGn/+1i79qERqOpooObng88njLTWzKCpqtsFq02Wh5jAOE3zH5kY/5uL2VFkMmDpJXvHG9pS8FDy32UQIQVkKLEvNU3qDMVs7u+SaPdcak1Li2moOk2Q5iXB54sQxAPrDEXGcMBgM6HYLfHz2xgVLDRfTMCmKkrwSmIbOeqeGZeoUZYVumnz92h77YQ4SFutKN2x3knJ7d8DtvQENz+YLnzhDmS1gtXxuDFK+fXdKx7doeqbiyBQV37074SlH47873kDX9YcWcQWseHiNMXWN/BH3rpQSITnC1/E8j83NTTY3N6mqal6tXL16lTRNabfb8zZYWZaPxSEBfkBI/LDj/ba2pJTcunWLa9eu8cwzz7C+vv7Q8d9rIplECX/wxW8ymIRv+5lRmlOWlUJeSQC10KRZqpjqns/y8vJ9dJHvziuWshJ85+6Ua90pxUFick1++EyH0yvNWdWg3mcaJhgmtuuxurpGHMf0hyN6+/sM+j1My6Eock7W4V5iEeYCEJiG4Myiz3PH2kqi/VC1dBC6pgafu5MMb3YNbMchTnN0jYfaFQehAfuTBKkZWIbG4ctnm0rOPC8Fnq0euiQv8F0lzS6lcks0kKRJgu042PascswqdocxK7UmgWMzjh9WTD4cRZFjWTamqGaQ4vsCjWjKK8S2bepC0hr3SIoKKQuSJFFzJN1ASh3HuM8DKcuKhu8xmWlVnV1tcHe4yzhR1rlJnBDlFfXA44n1Npahq6EwEOeC/jClKJXtb9u3eG7N59ySN9MKq47Ir3uOxV+8tcfOWA23LV1Q6CZX92NMQ+fcgWmZhMBVMzeAaZJxeWeMY1sEto6olOR8nJfcG2WcWSqZFSEURcl4MqHf2+fY2jL37sbklSK2uo5NlmWzs6ZhGPfNxdqtJu1Wi51RhGsZeMMhe2HOdn+KZWjq9xgGxzsBtlZRlALXdfjLKz12x7HikWiqpdj0TD620VQy9xpsdALGgx6//8WeapdqHuOpzonO0jzBeRrkaUxXU0KnB9Dbg4Si6zqbbQ/b0AizktrsXq2EZJqVfH75fjVSCsl3bo/49u0xk7Rgs+Xy4qk251eOLu6HZyegZhsH1cr169cxDANN0+j3+7RarXeVVMJQrSE/mJG8z3g3LomPW5FUVcUbb7xBv9/nM5/5DM3mw4O792q3O5xG/OFfXnjbJHIQlmmCxrxNZVsWWRKztbV1f6g+W9QCzz3S9rq4NeHS9hjb0GjWPMpSMEkyvn5rSsu3sN/mBs3yEt20OHX8GJoGu/sD9vf3AcmqK1kOTEJhY9o2ay2Pjm9TCUFZiZkDYPJQlfjEco1+VDBJSwJPqfJmpWSzE7DafHvp/YWah8aYOBX4nkNZlICcJxD7UEvNMg3yQlBWJTXfgaokzXMWai6mNbtdZ7eIrqlzOY5SNYhP0nlrqxPYuKbyMDmwGBZSEmU551bqGG/TdjB0jeNtj9d3pnhBDUNUpEXBJCmomwWT3jZV5M1bOfcGU9JKwzI06o7GxzYaXNqd0hur3eVCs8bTa3UsXfmZBK7N6/eGXN1PiGcLsWXonOh4PLNWxzV1oKIeuMQzKZu673CnN1WMbtecM7wNJIUGO9OCEx0FflAijIck8guhmOi2hqxUyzUvSnzHYpwUjA75fkRRxF53j6XFJWzX5+SSwZs7U6Smk2U5UiryX+AYLAb320Y3u1Ou7kdkQkdHEtg6zx5fYpqW7I1jRFlQ03P8LKW7F7O80OLN7oTuJGap5uLYyvHTs0oGUcEwzjm1EFDz7CO/ZRqnXN/vc7MbUg1bLC2pttJkPEaIirV1JShaVRVCCCZJzpVuTJRXLNcdnlur8cq9CbapvOHDrOLMoqroDuKPL+3zZ5d7mLqGZxt8d2vKtf2Yv/updZ5Ze/uW08H9cOzYMaqq4tq1a/R6PS5fvkye50eqFc97tIr1AfT3oyQ8+W7jI5VIvleYpjkjQL23SNOUV155BV3Xeemll97WR/m9JKr+OOT3//QbhEmGaRhq7pFmCCGYpiX3RslMv6iGZ5kUs4GnBHb2uoxGIzY3NljstAmTBClmSSS9/+BUQnK1G2HomhIdLJUcezPwGSc5W6PsIa+Hw6HNIJ6D4Zh4OqLVbNBqdyhntq9+FJOmU+KBjV3WKasA07QoqxTfcx5CX220XD59osXV/YRRmqMDpxc9nluv0/A90iw/0l4CtXBpesVyzWZ7nCJkhm2ZpCVUQsncH7QPdE1D1zSysgIkd+5t09ALJq6HOKSJFs64JOdWm/Oke6DmK6QkLxUX5exSwFt7IYOoUEx8kdJwTE60nCPzmEpIemGm/EEck1NLPpppcnV3TCk1dM3g2ILDxzYa2JogimMm05CXb/Xp5zpSNzENg07N5clFhzNeSubZqr8e2PPfVwnB3d6Uq/2Uqqrm6rxpqQQj277FRkt5vEzjDNPQ6dR9BlM1EymFnCeRg7ANbQ73btc8RmH80P9v6IpFbhkaWZ5j6AalVHBpa1aOTKdTtvb2qdwmbw1KnMlEIfE6PlvDGKlplIVSR356tT5P/v0o5/XtKZph4GoVEuhNSwQGP3S6xbnl+/7jeZ6jiYKdvR53BjlpppPogrI0MQwDx7JxHY1JVj2URLKyohKSpmdi6hqDSUiWZ7x56RKGZeMvbHBu0cOYWTdf24/4n7+9zdZIoRxNXePcks8Xnupws59SVJInzgR86kR77nPTC3O+eXNI0zNZmCXKpZrNjV7Ml68NeGq1NneufKcwDAPP82g0Gjz77LPzamV/f5+rV6/ied48qbRarXniCMPwQ/VrB/iX//Jf8uu//uvs7u7y/PPP81u/9Vtzm473E99XicQwDNL04eHzO8VwOOTChQssLy/z9NNPv2O2f7eJZH844fe/+M35rKOsxHwwfamb8o3rPdWC03W+eWvCx9YD6jMEyl63S5ZlbG5u4tg20yhB1zWadY/JA+2ZolL8EGN2Y2mAYVpUVYGUAgwD0zgg1j0YksDzePP2Lpe2RuS6Taeu8WwgaTnWnKBVVYI8TYjThN69LaUcHPj4foDvezQCZUfLrFI8t1Ln5FLANCkwDX22g1amV4ZhqPlKrKoZ01AkQyklnz7Z4tW7E3YnGWFSYJsanzy1wKm2ffB1cWczBykF3W6XLMt5/vQa2k7IbigII3W+HVPnUycXlGHWoUiygjCr8FwLA8H5lRpNz2J7nFEIaLo6x9ueYnjHGb5j05umfPPmkGFczDTDNI4v1HlmxWO9vkCYlri2yXrLJ5xd75ZtMygshmKM54AhBVmesr2fMJmYfHzF5NzqCvoDi76UkkkhieKUpbqLYRoUhdK0SgvBzjidJRIVnmMymEYErkM9FzPtLXEkmWSzqq7u2wynETXPoTy0AXAtg9WGw61+jKFrOJbyeB9ME9ZbHpudOlu7e9zrDtgpfMI4n3NMdsOSky2TT2zWCdMS2zI5vhggq2q+YdgapVSaTtMEUN+r41sMJjG39g3OrzaxLZMwSVloNZhGCRubPlNjwmRvihAVYagShmVZRKXGiXZbIb08h94k5up+xN4koxJSQYpdkyiXDLojpJQ4QhJE+7xy4QK97ducXF/mT26m9BLJ2eU6hq4RZSVv7MVstDz+T5/dONT5kJSlcoTcGaeM05JzS0c3ZwuBxc44ZZKU86STFhWXdkP2pvksudaODPcPUFvqeVLimsePH6csS4bDIb1ejzfffJOqqmi327z88stzkMyHFb/3e7/HL//yL/Pbv/3bfPazn+U3f/M3+cIXvsDly5dZXl7+3gd4h/hIJZJ309p6LzOSu3fv8tZbb3H+/HmOHTv2PTP9o7zVH4y9wZjf/9Nvzj3ND8ftQczXrqr2ke+rIWma5rxyd8JzLbC3ttB1nWMPyLH7rscoTDB0Xe2UkxQpJNYMFTWMC8XmNgxEpby5dQ1cXVJJST2Ysapnp05KST3w+Nblu7y8FSE0A9OQjPcj7g4SPnd6gafW6iRZroQQO228vEZnYZEkSYnjmF5vn0EiGFcWmmmz3qlzouNizTD+tUfMRKqqIkoqar7LOMroRgVlWbJUt3EtgxdPtwkzxSMJHBPH1HEsE6TEsi3COKMsSy7f2SUtJRsrSzi2xadPtOmGOdNcoAObbR9HP6yXrGYpb2xPGacFSFhuBTy17LLacDi9XD8yFD+IMM35zu0xo2TmVKhpSE3neneMTsnHN5v4s9lNmGTUfIc4yRFScnuQYBk6zcChrCosy4Q4JsoF/bhE37qLbtkz864A0zJp+C7RbOgthEDkAtu2KAqlRJxX939RzXOU/wkKzFGzdTY7NW71pvgWWIY2r1KeXG8SxYr9HyYzReZI0A8TNXxvOGSlMwMgSKSoWKo7PLkScGdrh+lkgggWCbshncBG08C2bAbTiJu9gvWmx+Ks8i3zQi3yvpL0z6Ua+sN9pKOyE1YWwGlRkBYFDd9FSDmv3FebHvdGSs+s4ftUZcUkydERRP0dLucDXM/n6kgyyCS+aWFUqq1qWiZNEnwPao0WC4HNSsPB1HV2eiO+e3OPl++MOL6yyG7eZmGhQ+C6LAQ2r+1E/O+eX8PWtXkLTMpZMpEVhnZgXXyfTJhXyqztoAobxQX/07e3uNKN5qKvizWb//0La/P219vBf03TZGlpiaWlpTkBcXd3l9/5nd/htddeIwgCfuVXfoWf/umf5qWXXvpAWPYH8Ru/8Rv8o3/0j/gH/+AfAPDbv/3b/OEf/iH/w//wP/Arv/Ir7+vYH6lE8r3i3cJ/hRC89dZb7Ozs8MlPfvJd6/t/r4pke3/EH/zZN8kfwXcAuNqNFMzXMUBKRKUG7FFasBNrnFi0jwzVH5QeqYRgEiWYho7tWoRxyjPrdb52Y0hUSGypIKBFJVhvqUXyQIBRSY9YTKOEmu9y9eZt3thLkbpJ073PMg+zku/cHrDWsJQcB3JeWWmahu97+L7HfulwuTsmLyukjLm+H/F6zeGz6z6LrQDLth+BgVG57JVbfa70FIpIVGq4+fHNJpttVyWgQ51FpWCs/jAKE75yZY+w0NBNk5vRkKWazWdOtlmpO6yg+DamoR9pe4ySgm/fGpEUFYFtIIGtQcgkzvip59YemUQABlFOP8rwbdWaPPC78SyDrWF6pIXDbJF2rPtIoYPeflmoobznuogC6s0Gy00bjZL9gUL2NAOfvmHiGZZCB84kcvJcCTkKzaDjq8fRd23COCEvBfthTlkJmp7FuUUHKQW9qGSaZri2wcc3Oix7+pzIeG+Y8Nr2hLKS2KZOVEi604xn1xs8s95iECY4pkHbNxkNh0ynU1ZWV7l8c4pnmziODVKSZxk122QQFwzi4sjGQUpJGKUEnkPN1tnXjCO8KSHlzAhLLaR132V/HHKrn7A9SkHX2egEnFyqcbcfMYzV9anVahxvmmw0bJIkZnsQcnc/xzOhdOyZ1pzP3d4Y3aj4iWePPbLDUAmBblhMJ2Om0zG3bt8iCAKcoIlfb5AVAsez5u/NipIwKdho+2w2XW4PE060XSVGWQj6Yc5PPrk031R88XKPSzshpxY8bFN5298eJvyH7+5xasGfmaN9b0KipmnUajXOnj3Ll7/8Zf71v/7X/NZv/Rbdbpef//mfJ0kS3njjjXftxPpOkec5L7/8Mr/6q786/5uu6/zkT/4kX//619/38b+vEsm7aT3lec6FCxcoy5KXXnrpbQdbb3f8txu27/ZH/Ls//xa6ruRDwkeQ0uK8VEqpuokUJZoGZZFRlSWlY7K+usKhTedD+lUH/iEH0GHXsXjuWAdNN7i4NSFMlXzGqcUaLxxrHtXmOpAe8W1u3r7NJK0oMPHtozINvmUQ5RX704yFRkCWPez+F2Ylr29P0DTo1FSy0gyTwTThrf2Y89mUSoIfBAS+j+ve17PaGae80U0QZUlgGZiexyhK+fbtIQ13iYZ39JYLXIdpkpGmGd+80WNS6LR8G8vUySvBzjjj1btjPne6gz6zCw6T7P5wXcLtQUKcV7R9a76g2obOpIDL2yM+dWrxkSTCvBRUQikOH+D+q5lse16qtuJhIACoRQcJ650a13dH1GyNLE3xPA+pG+hlRd01ZzpgFqeONzA1jd1+nziOkdEUR8D+RMe11Gwlq5Sr5JNrbQJHJ04z9qYZ3703IcoUN8YylGDjxzYapKVAN9o0PJMiPwQlryRXuhFSQju4v5OdpHBnlLHRdNhoeXMTrTiOWV9fxzAtNG2qmPNSUhQFtmPPq/8HNwwSdT/0JhFLvsEdKiaZRitQVcokKWh4JisNh7rvMpxEXLg7YW+iTLM0TXDp3pCGZ/KZUwvks891dOaLtWU1GZYW7nRC3dYoypIkjplOp2gVVJaLY6vZSpLmh66tZLVd443tKUmhzdGAURhxrztisWbz+3885amT6xxfW+L2RPKlawOGsWpRnVn0yCXcGaVzNepn1wJ+6FSdoijIKqXu0Jmx+UHN9o41XW4NlfzKcxuNx7K7EEKwubnJ7/zO7yCE4Lvf/S4bGxvv6RhvF71ej6qqWFlZOfL3lZUV3nrrrfd9/I9UIvlerafv1dqaTCa88sortFotPvnJT77nC/l2iao7GPMHf/atuRItgOfamLqhrEdn33u54bIblohKSTBUQlUQum5Q00uSvKDTrFOUFbZlHlm8D5LI4Z1dlpeUuuBjGy2eXK0zCFPsQyX2Q99fg0tXruO5HmdOrPNK797BaGMeB/+sB/58Vz+NM2qeR1oUVFXF7kTZvx4Q8izbpixKPNtkkGssra3i6JK93pC9ble152b+69sTSZYV816yqEpavs0wKrg7THjGu498cSyLJC+Iopib213GuUkrcHFtk6oqsQ0d30bNVbKC5WYwr56UY6E5U8ctZsqz93+nZZmIJGGSWjNvcwVVPrxNqLsWzgyCHJjGTKJEI5c6nq1Y7Y+Kuu+wVku5Y2iKqe27ZEIjzUrWm+6RXnlZCa7uTxnnBmXhsNxp8OKS4Hp3wvYoIy8ylmsmp9suuijICwPDsnj1Xpckr2j6FjpqFnKrH9PwTM4sBviuRZIqif40V1XLJC2JZ1XZ4Qve9G2GYUKY+2y0a9y8fZckTY/YNqw2HG4NVULXdY08V4KLNd9hveMjhVBw1ijnxiBTqDRNSdqcXQrYGqWMwmQO2X1mrUEnUBVyd5qzH+a0fGsOaQ5sST8quDeI+OTJBaI0J3Bn6LGZPI9KOhq6YVJzXcbjMYauo6NDlXP58lUs26LZqNNuNJgWGoUEqoTNtsvNXqL4K7ry13FMnVOLPkVZ8Y03rvN7X77IW/spjWaLjZUFplWNr97I+PzZDj/9zAphVrIQWJzsuBiaWujzoqSsBKauyKQHascHm5wD99XH9SI5EGzUdZ1PfOIT7+n9f53xkUok3yveqSLZ2dnh9ddf5/Tp04+tl/WoGUlvNOX3v/gt0gfaI+rfBa5jYZkGUZzxieMdruyFM1byLDGg4zsGGzUBUhLGKbXZ/MSc6SA9KomASqyOZRHOkFyr7ZryyXjEHKnMM25t79Bstmi1W4Bgse6wNy2w5H0NoigvaQXezP/8/mdFaYah69Q8FyHuw5kN06IoikP+Heo8SV3j2OY6SMl4GhLFMVE44e5ejqx0ikL9Pm1mMyylQBxqgRgzoT5F6hpQb7bRpjG6Jqmqck4gPBgwW5ZzhMgJM4izrrFQ99iZqMVH0+5vOKTkyIzDsVSL70Aavu6abLZdbg0yiijFMnSyQqWaj51YwjIMhLyfetKiQmoG8TDEyEKOOSlTt0YiDURZcH6lxhPLwX1kj6bzlav77IyUnL+m69wZ5Rxv27xwepVPAsUMQZenCTdv3UI3DEaVTZQJlhqe2jhpakielYI7g4Rn1lskaa6qs/i+UVmYVUqbSqprK6VimIdxqpwGheDqjVuIquTcmVNsjxJGowjLUAi4YbTPIM7VDAdwDJ1TbRtdClzHIsoF391WLUPfVkTQe8OEMCv57MkWRSVncigGjcAmSTMagcf1vvKQP8yL0TQN29CY5HK+oTn4r66rQbttWVzbjxinFXoYqs2C7WGUgqc2Gmw2HZIkYTQN+dbN24TCopIS33VZbbo8sRLQneZkZcV60+V4x+PYQp04U4n3Vj9GlhUyHnHv5kghvtyAL6dT/tZTn577nRyEEIK2aXJqweO7W9MjwqS9sKDumGy21Hs+an7ti4uLGIbB3t7ekb/v7e095Eb7OPF9lUgeNSORUnL16lXu3LnD888//77QBw8mqv445Pe/+M058epRkeUlWV5S8z08KfnJJzp89VqXUaqOt9Z0+czJNuPu1mywrngiErUg1zyHSZiodsEDyS9wnSNw4HA2C/Ft60glFE4nDIZDFheXjtyIn9hs8OWrPaJSR1RK5M93bF7YrD+kdAuqtxwmGaeWm7y2FZIJDa1ScuhSSrJScGrBny8IWV6ABkudFvVACTZuJPtc6UZUZUme5zNCmKF2mLriqKRpgW2ZbO3sMplMWVtbA8PC3knm5kwHBMJ4pkelCYWCezCEkKwEJjcdh0mWU3NMRCmYpAWebbB5CAWVzZUGlDS8pmn80NllvFs9bg8SikrpV51dClipKUScrhuESc4bO1O2xhlpXiDLgo4tefGJdTzHJisFDd+hEvK+L72hc60bsT1KaMxtiFUyujcq2GwWLNaV8m6n3cbQO6RZThzH7O9OyNKMUZXiui76TIzR1DVKqZHlR83KpFTOlzXHZKUVsNUPMXwNz7FJs5wwrViq20TDHiDpLK/ypSv77E1zNN0EKXD3JjyzVmezVIrMtqmxUnfpzFpkaV5wo5cySTJWWj5ihtxyTJ1RXLA3zeceIfUZDwkUYVeKSsnXW9ZRsUnDRBMPbgwlo7igO1G/51MnOnz1rW0iTCp0HODscsCxtoemQVALuDIoSS2TQCvRREWSxVy+F7JRt/jsqTae71NJ1ZKOM5WA00KQFNURdeCqqpBpRC6X2JtmDyWSA3Lj33pmle1JwY1+RuDopIVAA/7Wkws0HZ2iUCCT97qZDcPwQ0sktm3zyU9+ki9+8Yv8zM/8DKAS4xe/+EV+6Zd+6X0f//sqkTy40BdFwWuvvUYURbz44ovv+yIcnpGMpjF/+NULR8iBj4oDhFSYpKRpiowH/OTZJnbQRNc0XEstIBNNwzIN0lyJCiLVjTsJFazSNHXiNCcrBVujFMe2qacRzQdmCgezEN91qKqK7b098jRleXkV9wEJjsXA5gtPL3OrnzDNSlo1l82ZBPs7haUJnllvcHE3ZJwoefdKShquyTMPemtLxZ6uz9wYz6002JrkMxKcqvCmWYVnSLSoz607CcudNju9LmGUsLGxjmWplsbpxYBLu1OmQg2Kp2mC1A2eWPbftp0HsFCz+di6z6U9iHKBqNTu8GMbjYfOX3eScXFrgmVZLNdtqirhydU651ZqlDNo7RytM/MkuT5IudKNcE0NoyrIhWS/MLnUTXjhuI1j6WRFMavoHKJEcUDuDhQH6HDSdi2DfqRaPSeXa0RJhmXopHmhNha1GpsrFnejAZahIUQ1Fyuc5rDRlGQzoc2DZSotBdnsfJ9bcJnGGXGpMYkjJNBwDRb1GE0zWF1d49JuyNYopeGa+K5FlmeEhcaV/ZSXTjY4ufDwufZdh/3xAFNTz52UEsuaDazjgiibVXmHkshBLNUcru9H9KcJdcfAsizSSlJVKWvN+3DXOK94fXtCL5z599gmNRHx9KKDXWsj0Fht+jiWTpzkgCTKSgaZxNUFnqXmUp7r4uQl46JkZzBF7HXxHZsg8KnV6qCbWIaGqSulgYN7yzAMTp59ggz7kajEgzi9GPCPf/gE37g55EY/pu1ZfOJYg+c36kghiKKIKIowZ3I5B3Lymqa9I/0gjuMP1Yvkl3/5l/mFX/gFPvWpT/GZz3yG3/zN3ySKojmK6/3ERyqRvJsZyQGy5kB00fd9Pve5z30gMDnDMMiyjDjN+IM/+xajaYRtmdiW+UimN9wfmE+nU7rdLgsLCzSbTeqBR5pllDMdH9sw1LzEVHBBIcV8YJGXJXkJu2HFl67sk1XK/MoydM6v1Pj0idaDdhSEccre3i6ebbC8soppPvr3B7Y5hyR6jo2u66R5TiXewTtRwgsnWtQdnd2oYhKlLNZsTi/6Dz1gUsq5qZM5Q+O8dFrw+raSW9d0gxOLHh/bqONQIcuM67eUxP5iu0mSpOi6IpE9s65QUtf3I7JSUHMtzi4FnO64R4yjQO3sp1mFa+mzloLLudUGd/sRgWtja+Khquvi1oSr+xFFJdXuUpOcWAj4xEYNQ9cxzIcTbFJUXN2d4tsGslAtonbdJy0E90YJ51dqc+Z8JQRhnNKsucRJ/rbulBogZEUUK+viB1WPF2s2qw2XrVGKbRoYtklSCAJHcqyus3XvHoZhYLs+dyLlWVIJ5RB5asHnbz6zyo3dEWll0/RskuEerm2xsrJMJeHeKMU1daXoW+TomkZgSkZRyjircaYZEMbpvIXquw5JqnTK9medPk3T5tWFRKku1AOPyTSaPyeVUHpVTc/kqdW6IofGJYYJuiw5s+hzbrWJoSsJ+lfvjelOM2qOSc0y6A8nTKTGylKNtdncqaoK4goMQ8d3HApZkGZ96vbR+9IxlWpzo9NhvR0wHE2Ioojh1g5lWdJq1Fipmdwc5JhGhe/YnDp3nkGu87GNGsc77wzS2Wx7/Hfth18TxzEXL15kfX2dxcXFecv6YIN6kEwelVSiKHpoGP5Bxs///M+zv7/PP/2n/5Td3V0+/vGP80d/9EcfyGd+pBLJ94qD4fne3h6vv/46x44d44knnvjAmKCGYZBkOf/uz7/NaKokLg4QVJ7roGsc6dPXA49JpBRBJ5MJa2trc0KR6ktr1AOPJM3RDYOirLBsjsxDDmYPk7Tgzy7tUUiNmmsjDCUh8ubOlJZn8cTK/Z1KUZTs7u7QCHzqrY7S8EKS5gVJoWYuvm0cmWvUAnduk2vqB4KDj27ZHfBSNtsem21wrBZo2hGwwUEo06uZLpgQlGnG2dUmK3WHcOa7faClZOpw63YP3/dpt9vsjUK6/Slx1mcxsFhvB5zuBJxd8imEpO7Zc0WAaZziuzZJVvDqvTE3e/FskKqx2nD40fMrpFnB0mzBqXkecZbPPTy604yr3QjT0Gh6NlIKsqLiZnfKRttjrfbonWKcV5RCIPME2zSoNxsUeaEqpqw8IsFykFTHYYKm65xeatCd7s+hvqCG5rqusRjY+J4995cxTIs7vZCiEizWbD5xvEnDM7k3TKikxrG2y6mOGuRr2hKyKviLt7psTQpsXXmUJJXOW91YuVyu1CnKgp3tHXzX5fSJY+RVRZioTYTir9y/nro2E+bMCiZRgq7rM1i2JJwlxY22x/Y4Y5qWBI5qV07TEt/S2Wi6TMMI17EQaLx6d8S9foSYcSzOLgX88Jk2YaERpxntmejiwfM0iHPGOXTqStgznEyUYRUmtwcJJxf8IwKKlRDK+6YscEyDUlPOm2Whkls6G64v1j3SvMD1XFzPZYGFuSNkM4vxRcIkdnE6GwxTyTMbdX7+U+vvisH+0L0Sx7z88susrKwcWZcOuCoHvJXDXZXDemB/Fe6Iv/RLv/SBtLIejO+rRHKQwS9evMizzz6reusfYAgJf/HqVTTn4RZZOvO5OGAOm4bBOIzY2+uS5zmbm5sPybaLg9514GKaOkIKhBQPJRGAm/2YXEDN0ZFViWGauIZkmuRc3Q/niUS5J+6x1Gnj1RtKUiQv6McFr+/EbA2mgHp4P3GsyVLNmWln3Ye/lkJQzAah0ySd2/SOkoJm4CIfqL6yopx7jBxGmnmOQgNtj9LZgmqy3lRJyHNtLNOgmD00ZVFwb2cH1/dZWFjgzZ2QS7sZeSXRsNnJoBuHHPeGmKbBYqfFpLCPQIvjNOfSbsjlboypKZZzWUnujQv+7NIuP3K2wwGAIEwytZs3dZK8YG+SUQhBw1OKx1LKmWd8xdWdMaeeWVVzoOL+Qy6lpOHo5EmMaRg4rktZFJiWSZyVWLqGZ99PQI3Am7d1pBAsBTrrLZ+9aQZCIGeShyfaLqeW6/O26a1+zOvbU9JCYJgWJhPOLQc8uVLj6TV1jQ/33KWEUQbTymSl40NVUJQFGjAKp7yZxTT1jCQKCWoBi4uLs0G2pF3zWG763O5N6PjW/JhpKRTB0puh7Wbih3GaY9sWpqGxAjyzVudKN2QUKwBGzTH49KlFNKFslqM05xs3h+xNMmqeg2Xo3BulDOKCn3hyhWVbQPAwezvOK7Iso267TKdTXNfD8zzCNCUvBUV1PxkjNWq+Q5ikOJaCRV/phuS5jmPqVOhUmsmTqwFCVA+RnC3rvrLDqWM6z5w9yTjJyMMxS3LM1rUp2eIii4uLD7WL3y6SJOHll19meXn5oc3twbp1uHX+IBkSYHt7+7E8TD4K8ZFKJO9UWVRVxcWLFwHe91D9USGl5C8vXme7P2Fj/dGzFg2IZlLnZVmyvbWNputsHmKqPxhqd5+RFRVtS7GnKziSRGC2U9W0ebtLVBVoakgW52pxC8OQ/f19VpaXqdUb85syzEr+/HKPMCvxbAspJdvjjFHS5+98fAOS7KFzq2ma8gwxTS7thrx6d0gmQJOChcDmMydbtLxD7bKZx0jNd0mzAk3X2J+mfOlqj3FcqCVSU4ZKP3xGEUANXSNwHbqDIeN+j1qjQavZohtmvLkzRdM0mjNv8KxSc4fjy21OLDh0+0PieDiDFgcEgY9pu1zbDzEQNAOfIs+xHBO9KNibZgyigs4hMcG8rNCoaPgulRgDGrqhU5WHdoSoFkyaq4Xx8CDe0gS3795hs+2xNa1I8wrb1EmSnKSoeGqtNW/11T2H0TRmb5oxSRV0eb3p8qnjde4OTSaZgkIv1x3OrzWJZ1I/w7jgta0JlUB5xmuSpNC40ktpeTanFgOSGZv8cMRZRVZWBHaJbhp4nkuWZTTrBnGa0xtN8IyZKm2vjx/4eK6HkJLjTZPe1GKag6mVFJWkEpLTi8F8phS4NjvDiCvdkP2pUng+1vF5/niH08t1tgYhhq5zfLFOmt33kNkdZ/TmUF8JKE2xcSa50Y95atnlUVQt31Jma4PhCM+2ME2DolQzw3bg0a55ZHmOEMyTyEE8sRxg6hp3BglZKbBN+Nh6g42GjWtbWIZBVhTqGh86j45l8nM/8VnWFlvqFpdy/oxtb2/z1ltvUavVWJwllWaz+cg1KkkSvvOd77C0tPQ9OyQHSeXgvwcJ+ytf+QoXLlzgJ37iJ972vR/l+EglkreLJEm4cOEChmFgmua73iW8l/jyhcts9cbvKNECYJoGkzDi3tYWzUaDYxtrj5Rdh4MdvLrhHcfh9r1tPM9lodVC6gaOrVAhUkpWWgFv7IQIqc3LaikleZ5zfLlOFE7Z3++zurpKq9E40le/3ouJspK6Y6JpatfrOS7DMOXN7QmfONZ4299zeXfCN24MMEwL15RUlcbuJOPLV/v87WeWHxIJjGY7fdux+NrFXYZRQd01lDDgTPzwO3dG/Ni5BSqhBCqzaEqjs0BtVrZvDZVoXsu/f/u5psY4KdiPJedWbJaWlgFJmmbEccRgMGSSFoSxamHkWYplW0gBlq4RzbxCOg90BpQTYcpGx+f6ICPNirmjXyUkpYDVhjt7rVIJqHk2URRx9fZdFhcX2QhquFsT7o1SplmJpatZxPklF8+2sC2dvWHEN2+N6E6zOZgicAw+ebzFmUX1pQxdpxG4DCbRfOa1NUpJC0EnsOabC9/SGMYFe1HBmRWdI5L3B+fL0rF0jbxSlVmapmi6RoWOJgXLC20W2k2SJCGOYm5sdcmFhudYrLUCPr7uc3uQMUwknbrD8bbDZlMlYd+12RvHfP3mkDArcU2dUsCbOxP6UcbnTnU4uVTDdx3CKDny3aaZgl0fhvqapomeJmz3Q55c8qh5yuMkOgRlXwxM7CJiJAxcw6IQkrRQs5/1hkmSZWhotOoulVDn8kDvS9c1zi4HnFzwyUtBq+ZSFCUSqbxTDs7ZzGyumJmc/exPfHqeREBtrur1OvV6ndOnT5PnOf1+n16vx4ULF9A0bZ5UFhYWFGggTXn55ZdZXFzk/Pnz77nNrus63/zmN/l7f+/v8S/+xb/gF3/xF9/T+z8q8ZFPJIPBgFdffZWVlRWeeuopvvzlL3/gvu2vXr3Dty/doBACzzLRdKUn9WBomkYcRtzb3lFD9VaTKM2peQ5FVZEfaot4js00TmeJSc6VPuM4pj+aIMocXTewXZeVxQVWayYt32IYFzPkkKpSHENn0UzpDXLOnTmJYztED/ApBlEx+34Hf5GURYlh2exHbw9dBrjSDRFC0nTUHEPoitk9TkvuDVNOLz7chnBsm9vdCeMMfFuftxwOpLe7s115GU/I05hmZ5FOq0FZCoqqonibQb9h6ERpiq41sR2TJCtwXRfXdel0FkjSjMvTfdK8RBQ5VmmppKur1ssRIt4DcWIhYH1vyvakIJ7tTMtKVV+nFu8PTSsheflGl7e2hthewGK/5Amz4oXjLc6vqJmIZxvzSkTTYBKm3Bzm7E5y6q5Sp5USxmnBhbtj/saTi9iGjudYDCYhjqW4R2Gi2jZKmurQAqSBZRmMw4QoSRXgwzTVjGv2srZvsVhz6EYlMlYcmCjOmCQZT67UOLmxqqx3BVzby9hPfdWeHZdcHww5GVRsBA5nmx5B4GDbNoHrYBkGYZJwsxcxTctZglPhWTr705ydccrTNY/hzD7Bdx1MwyBK1feQMOf0mKZFWRQKhWXpc2UCUIzwmueQ5znXrt/hYxsNdlKD3UlGnFe4ps75FV8ZrkmNwHcYhfcRYb5jY5oGaZqTVxWmodEIfMWxeQTUIStKsqLEsUx+9sc+w/pi+23vF1DdgLW1NdbW1hBCMB6P6fV63Lx5k9dff516vU4cx3Q6ncdKIgDf/va3+bmf+zl+7dd+jV/8xV/8UJV/P8z4SCWSB0/inTt3uHz5Mk8++STHjik3tg/KJfEgbu/0+LNvv6E+H40wzVgxdFzXOoLUElKShlN293usrq0eUemMZhINDd9lEqdYhkFelnPlW01Tv800TRqNBo2GakslSYIuSq7cuKmYrEse10a2YsdLyVLN5rhX0DAFK6sbeK5HXlY4M9fEg/BnffqDhxfAtG1EmBDYDr5rP0TmU6+XTNIS13Ooqpkchq4rBFxeMc0eVhFQFryKMVwUOX6gJFSYEfcMTSMXgt39Hg2zYnF5FdOySLJi1uqyWQgsrmscGUJLKalmg9miqigrZRo1PjyTcR3OrzZ4fXuK6VhQ5SR5RZznrNUtRDwm1gI8T81VhnHBMC6oew7NsuTTJ5rc7MXsJ4IsL1ipKyTaAZdASsk3rna53k9wLJOqqLg1EHSjkpdOtegENsEh1JprmaRZQVEJru2OcS0dz1HmYZqmrHonaUl3mnN+raHIg2j3ARyOzXLT43pPif/pmob8/7f35+FxnfXZOH6ffZlF62jzlsRx4tiOd2drGggEsjp2wv6mIU15Xyjfhl83WqALLaWUUN4XeGlaoLQQWuCFkjg7IZDFCdlo4i12HK+xLMuWNBpJs519eX5/POcczUgzki3Jlpyc+7q4LiJLM8+cmXnu83w+n/u+QSBwPCzLQnMznbYLfx8si5zmoqibaFAE/NaSVrx4cBCDZRclwwZxHSzJJLF6UWtU+jmQM3Ci6ELhCZoTIlyfoGg4yBIV85MSTEPHiUIBLMuipbEBLC8gmVBRtOkdfOWHimMZEAAWYVHSR08ikVcbgHPbUujO2ygaJpqTKhzHgeF4YEAnnSrhEwJd13Hk6DE0NjZiXmc7FgMYKuowXQ+qSMd0QSjhVJazANBhEdr6gSwJkCUBpuVGivNakAQet75rchIZC5Zl0dTUhKamJixZsgT5fB47d+4Ez/PI5XJ44YUXotNKc3PzSfU6duzYgc2bN+Ov/uqv8KlPfeqsJRFgjhFJCN/3sXfvXmSzWaxfvx5NTaNv+nRTEisxVCjj4V9vj47XbKC2dl0fZddCQpHh+T4M00KpMIJ8ScOC+QsCHyUqhuvNmzT0SOaxoMmHKosQOQ55zRhtqtf4fLAsi8ZGauO+rDWDUklDoVjEkqSGhZIPQZQAz4AiK2hrb6OeVMH4K8MwSCVkFMt0kz23JYHDg3p0t8zz1H6FZxmc26xAM4LGumZWVUgYhkFTUkZfXocY2KEQ34dDPLAcTdSrhCTSDHqAQaNC7UU0w0ZCFsAEzsSm44ElHhQWmDdvfpW3mOcTaIaF5fOa8GZOx2CJ6i1ACHyWR1pkozIQLUkZSCgibMeLrPKXdqbACwLeOD4Cy2PA8wKWNCdxUUYC59sojAyjr9/BUZ3HoAkQ8AChk1WXLGrEkrYklgDgeRaSIIwKPgnQ3ZfD0REDaUWAXDFOmtdtHBm20ZIQQIILKHIcXM+HH9hieIQ6MjuOHWS1M4BLfbk4jgt0D9UwLQcZlUMmrSBXtiEy1AV5uKAjJfNYVDGCOlC0sK2ngLJFm+6iJKIzUcaGcxowMFRAdtjA/PZWZBpHdT5UCa9DZH3IAg+O58G6LlIykDdcuFwD2jvS9HPqexgayUPLFzAw4MEo8zBsBqm0Cl7g4bouNSLkBXiOjSrnTUSXEBzxsaxNwRsDBCO6DcIAHCFYkklifmN1SZrxPRzpoSTS0NgQEYUscGhOK2AZBoZpQ5aEcSRS/UC01FUo6SCg1juyyMP1fOimAzD0QzhVEhkLy7Lw+uuvI5PJYNmyZfB9P7KG37dvH2zbRnNzc0Qstfz+du/ejZtvvhmf/vSn8ad/+qdnNYkAc5BILMvCjh074Ps+Lr/88nFvwkydSHTTxgPPvlp1Z88wTJVpo27ZcBwHpZEhmI6PBfMXRBkTJdPFL/dmMaIHKmMGaFJF3LJ2AXTfQjLMPZ/g88EyLBzfg2k5kGQZixpSKBsmisUihnJDYDkWuq4jmx1AKpGEJCvgeX5UyazKMCwbbSkR6xc1YvuxAnTHB3FsSByLlfPS6GyQosa6IgtReYleSxZLMioGCga0QJPhEzpB06AwWNrVFGVP0CkzOtkG0C/7Be1J7D5eRNGwIbAsXLCwbAcXtvC4cPE50GucaMAwMG0b71nejj29BbyZ08ByAjqSXJUmo/J9ImDAsByI7yIpi1iaARY1tqFkBjoSOfwYJ5BubMLBrIbj2SFIHMATSp5F3cPLR4Zx7bJ2yAIH1/XhuvQaaoaFbHYAg0UbDMdXkQhAPZ96h0u49Jw0RJ6D5XgBT3jRvzcqArIlCzIf2OwQAhccZJFHQqiO/iWgLgEcw0DiOayfn8Ib/UUMmww818WiJgUXtiej12W5fkQiaZkqxHXDQveQD5UnSHslXLSoc1zvkGU52I4LiWMC23pKZooswvDsIECMOigYlh2FLdm2DXOggKE+HYMjBcg8C47n4fESJI5BV0P9zAyWYXB+WwotDMg0pAAAfO1JREFUqoDBsgWf0LTKjkZ6gxD6aDG+hyNHe9Dc3Ix0Q3UPj4DecDDB2ggBUqoC07bhuOO/+wlZgm5aUTGL6rLoZy/Um3Aci+t/a/WMkMi2bdvQ0NCAZcuWUbsfjotI48ILL4SmacjlchgYGMD+/fuhqioymQyKxSJWrFiBw4cPY+PGjbjrrrvwF3/xF2c9iQBzjEgsy8JLL72EpqYmrFixoq6f/3SJxPN8PPbCTuRL1Wly4YkkhGEYyGWzUJNJnDOvHRzLUrsUAjx7IIchzYbEs0Hjj2DE9PHIzl5svLgdZcOCLAmRm+9YJNVRXQdAT2Flw4RnmxgeGkImk0EqlYLt2IDnIjech5kdpLXsRAJqYEkiChwkgcMFbcD8Jhkjhg/LcdCelpAYsyEaFlVPq4oI3aBJhQubZKxZ0IC9fSUYtgeGYdCWotbtruOA5znIvACe48YNFawIomEPZjWULQeCb2HVwiTWnz8P2hiNiu36UeNWlXjA97F6fgOuOD9DtRQ1vkym42P38SKOjRjwCUFLSsXSdhWdaZpvItcyVSTAwWwZqiwhKfHwXAeu64FhXOQ1C68d7sXiTBKJhApJklEs68gNDkLkGTQ1NoApFce1tj0CCAwDx6UmnGlVikKuAHoDsrQ9ibzhIG9QjYnrEYDxcH5GxbymBAzLgev5GAwm1oZ1ByyAeY0KlnYk8K6LOjFc0kEIQWOSbtSaQafH+goWypaLBoVaqriOQ9Xdlo39Jwq4YUUHWpsaQAhQDv5GkQQQy4ESxA0LFUMTZd0EB6ApIaExocCwqi1XRFHE0vkZuFwRR3I6dNsF4zKAWcI5KQZW2UdKaISqqvRvg79jGQayKEC3LDqWW1HKCk8ULMOAZwiO9Z1AS2sLUqna8bUMAHVMbHBYwhIFHrbtwrCpaWUliYyF5/uwXRe3XjX9k0hoxZ5Op7F8+fKaBBBawyeTSZxzzjlwHAfDwzTm+s4770R/fz9SqRQuueQS/MEf/MFbgkSAOUYkkiRh2bJlyGQydS/wTJxIntu5D8eyQ+N0EaGxISEEpVIJQ7kcOjraoahJ2E44SqqgO1fEQMmCyNFGMwnKF4LnY0izMaw7aE2KsCpCgCr7LbTPYFY1WAkIhoaGUC6VsXDBAiQSKkzLQUtDGiXdRFeXCs/3oWsaNF3HSD5PfbcSdDQ209yEBCFQRRuAWOtlA6CEpekWmtNJjJQ0MACWdSSxuFXFiE4nmiobrK7rQVJ4MIFgbayp5JK2JOYlGZzoz6K1uRGd7W2wPQ+yyNOmOCF4/USJzvm7PjiWwbxGBesWNiAlU1uYVEJGSbOqdm/PJ3jh8DD6iyYN9WJZDBQNDGsW3nF+M1qTtZX8PqHTPhzHw/dcCKIIwIYg8LB8B5KqwPc99PcPINSTpBMKkg3NaBAlvJHVUTbd6DTg+gSO5+PC9gTd3CSBCg4ZwHBZDJV1JEVqmX7Fec04lNUwpNlIJQSc15rAwkY6dMEwDCyfwUtH8tAtF4rAwScEBwc1aC5wBcdGm70ebJ6qJILjWDgebWrzAg/XcQAQWJZFPawkCYI0uuEqoghJEKBbNLHz/EwCO3uLKJo0npimbhKcn0mgJSmjoBkgxA+ei4Nm2vB9OgBwcVcaC5oUGD4LyzSRSUpgfeoH1nO8D57nIqGqaG5qhKLI9KRk1p5gjN4f18GbPb1oaW1BQzoNVZbAMDS8K3RbCElknD0RQz2/wlC5dIISlSwJgR/e+D1jpspZtm3j1VdfRSqVqksitSAIAtrb29He3o777rsPH/3oR5FKpdDf34/Ozk5s2LAB//7v/47ly5dPa32zjTlFJAzDoL29fUZTEsdiX/cJbNvXDSDQRSgSbMeF4/nRbHcul0OxWMSS886Fz4ze9YajpAQcCMMGDr+gn9+gF+ITeicd/U3g0JpQZNiuC5ZhoFl2FYnQCN4BuI6LefPmgeMFmJaDhqSKQllD+AXhWDYaT/QJgWEY0DQqiswPDyGhJiDKMkRJntDTRxIF9A0X0ZigRoNOoALuSI+ve0sCVR+XTBeHh0wczpYBECxqVnBRRxKuqWNoKIeOtgwaGxpoo9z14ICOP790aBCvHS+CY5lgjJTgSE6D7fm4fnkHTNtBSfOoItpHVJLoL1iRXQbH0C+k6DgomDb2nChg46r5KOrjbWtYlkFHUxLd2QJERYBj2+AFAXbgFNzWkECmQUZjo40TJ04gpVIjv0JPDxRFwZImEQfzLEYCF1yWYdDVIGNJJkEbvroJzXbx3915DJZt+IRez/YEh/WLmnDF4mZ6182xsCuU44QQvHZsBLrtItOgwgvsRRKyhL7hMo43CJHpYQgjcJxuTckQRAOmaUNgGZgWzXwHJ6A5KUZRzAD9qJRNA4QAaVXG8vmUcN/M6dAdqoO5oE3FqoVNMAIDQ4AJwr8cMAy1ySdgUNZNLGxNo6jpQKS45qEoKlpaaG6JpukYHBqG79CyYEtTAxQlAR/MuH2deC66e44h05pBMpWET0h0UmFANUfhYEqlHU4thJlA4U7BczScjBBCUyxBKIlcPXMnkWQyeUokUonu7m5s2rQJGzduxDe/+U2wLIv+/n48/vjj6Orqmtb65gLmFJGcDKZT2srlS3jiN7urfqaZNliW2nAPF6gqXNd1LLtwCSy3NqGpAiAwgMdw4IgLnhfheTSnQOCYyDG1Erpp0c1UkWFrJo4O63i9r4RhzQYPD4vSHDYs6QIflPNYloFmWlBlCZbtRjPzAA2POpDVUDRd6mPU2YUmESiUSigNDYMQD7wg0YyQRCIqEVouLRUdGTLgeB4aFAGr5jfggo6GmneS4RdGs108vX8QecOBwPNgwOD1vhJ6ciWsaHCxYB6tzwsCDRkKMVI2cGSEvu5wNJfn6OY8qHnoHdai7A4qcqS2HEXdRMGkJROeZcALAtxgEkriWAxrNgqaQceuXS/q+QDUeeDcRgEnhlkUDAeywEG3TdgewaJMCu1pEZZloa+vD22tTTAgQSc2PM6DxHloICYWiyY0UYIgymhMSFjQkkRTkroDEBC80p1HX8FEQuIgcCxs10VP3kVS0bF6fgpiYMI4FkNlSgRh7okgSHAc2sMpmPVvjjrSMtpUDr0jdpCLQeBDoH2qtmS0YctBbG/4WQntVy7qasDFC5swUrLAsQRpVaa9pxo3bIQgsrxJqzI9rcj0dFC9gTIQBBEtzRJEIQNNpxHNhZKOvoEcOI5Fc2MD7XGyPBjioftYL9oybUgkx9uAEBDolg1FEqEbJlRJAs+zMCwHzpgbx4QiQTeqy1mu51cNozQlE3jvZSvRlZkZElFVFStWrJjwBq0ejh8/jhtvvBHXXXddRCIA0NHRMSOGiXMBZx2RcBxX5RF0sjBtBw/9envNZp3vEwwXShjJZcGxDM5ZuKAqP3ssFIHD0o4kXjtehM8L8FwXnku9fy5qS0YZGGOhyrSUcKLkYuuBIbi+D4b4sMBg3wgB11vEJYuaaNyrRL+8ruuB5zkoggjDsnFwUMPLR0ai3PbBkoXeohu4traAEHqnCN9BNkcnSSRJgqKq+O/jFrI6AQcPLMMgV7bx7IEcfN/H8vnN4+4Cw7u+Nwd15A0amRuKJXmGxYhuwWxrgiwrNGt+zN8bjgfNpALGMG8eoM3eoaKOkuVWhUARn24GKVWGzFPrFpbj4DoVKYA+QUrkonJI6Lhb0k2oEs3e6GyQccW5zXijv4S84YDnGJzXqmJ5VwLwXAwO9KG9rQVv5FwcGszBCd5rkWdwcVcaSxe3Q9fpaY/YOoYHChjJ0d6U7nMYLNtISFwk1pR4Fh7xcGigiPULGwNRaO3PTUgYHMfBtg0aisTxVWPFlZAlAZbjYN2CFIhZRr/mQRQkZBpVLOtIo1Gm78dYEqmEZTuwbEDiGTQkVLjeeNuQsQinAkOSEgUOiijC9rwokZBjGYgCD8OywXIskqkkkqkk9boyKbEMFwbAM9SktLW5EZI8/tQLIOjriNENjW5Zo6O9ogBB4INeF8aRyFiIPIfrLl81bRJxHAfbt2+Hqqq4+OKLp0QifX19uOGGG/DOd74T//Iv/zKlxzgbMOeIJOxT1APHURXvqYAQgl+89BpGilrNfzcMI2qCMYYFURBgubUjd2ldHVi/sAGKyGPP8SJMD0goIi7MKFg1v7aKXJUlFHUDPgFeOjQID4DIAFywyVquj339ZVzUkUJnUxLlik3ZdWm5SJIlbD96HL5PIit4jhdQ1E1s68ljQZNCv9yiCEDEhec3o6RpKJU19OTK6C/54OCC5zlwLAeR51A2XbzeV8KCJgUJWYLt0pNVUpGjNfQX6fRZqHOwbTpwIMoyRkwfCVmkUbZjXrPMB3fsjgeeBQSe5qKbpg2OZesSblk3sbBFwd4BESOahaTIUk8x14dPgMWZRPRcoeNuWpGhB01jhmHQ1Sijs0GC5VJjR55jUS6XcTybxbyuThQ8Afuz/RBYFg0KXYdue3jteBEtCRGZVBKpVBIJSURuOA/4DnJDOQxoHkybgcQKICwT3aULLAuHMMgWqPW/GmyYujl6J7+oRcFAyYJNGBCHlsXKFm3OtyUFJFQJnkdgBH8jSwJsx4HruMhlB3BuI4dLL+gCAUP1FQwDkeegSAIsqzaJVEKRhKAnQsBz1P3Xdr2qqNqwZ1TSjKrSlON6cFx6wpEEnmpMGKBQ1mva7ygK9cpqSqdwtPc4kskkypqJ3FAe6aSCRCIJhhcgiRIYtppEqh8MMB0HpuNEn8+kSsfydcMeVz6LylkzQCLbtm2DLMtTJpGBgQHcdNNNuOSSS/Dd7373rPXROhnMOSKZDFPpkeTyJRztz9X8t2KxiFwuh9bWVqRSKTiWgaJmoLWpAZppjvEFqkwyBNaf04RlnUnq78MxaEqq47IYANrboNkWDEqGjZLhgCE+eFEAL4rwXKpm120Pw7qLtFJbjd49UIBFWCgC/fawHAfPcyELHMqWh2HdRiY5esenmRYkSYKqyOi3BDCDOci8AM/36DQYABa0VOR6PnTLBs8FmRoVX2qRHx1CCLMxBEmAZbpQxAQN5aqxXoFjsLhVpYaEtg9CHBCw0Fwf7UkRbanad6cAILDA5ec24jdHC8iXzSC3nFphLGkbLY14hOBgVsfh3CAMy0FTSsHiJhGLWlS6GQeTXYVCAcPDw5g3rwsJVcVv9mUBMEgpoYCQgSpyKBgOjuUNZFIiVEmEZlpQVAWAgoWpBrTaHg7tOg7ddsDb9E6c4zi4DA8BfuS6HJb4aDOZgWaYWNiswvAYvHFiBJrrA6DPuWZ+GimZj4hbkUVK8oYF23HR19cHnuPQ3t4OZsyGxrIMyroF36fkT916x2/IqiJFqYoALQWF9j2yKEAUeZgmTfykYsP6CCehTNuBJAiQRIFmqlt2Fal4toljx/vR0d4RXEPA96gQt6hpMHQdksAjnUpCF0RIohyN149FmPNCgKiqwHIMVEkCGALdcCDw7IyRyPbt2yFJElauXDklEsnlcti4cSNWrFiBe++995Rjv882nHWvbio9kkxTGr9z3RV49IWdGByhfRBC6JRUqUQT+hRFQVKVcdTxQAgtsYgCD1ZgglhdEliS0y9iOkHt0zkmsEkHItdbqtVwo+eRJQGaQb/ExfwICPGDGFoGnuMEcba0uSuLPEidO0uGYUA8F4TjwfFsZPBICIkaw2PhuB58hkEymMdnWBYix4GAZiQ4tgfWc3HsWA8SQU+lqSEVmRcCwMJmFUeHdBpXy1Plu+VQk8lFLWoweaWgWOPudEVXOsob1xwfDHHRlZbwrqXtgO9Wjf0ajodhzQHHUoV0C/HxnguakNNceACSAlNtJAlgR08BB3Mm4LvgWQb9I2UMlXiwPI+FjVR1PzIygmKxiK6uLqSTKk21dH0whMB1HarNAQM/eM8c14csClGzOwQhBIrAYnEmjTdHLBDfBSE+DJeBbek4t4FFKT8CNaFClqi6PiIUSQTP87iIIZiXymBIs8GxDNpSEqQxoV2E+CgbDjzXRX4oC1WW0NTSOu7ayiIPx/Gik0jYuOY5jp42HLrZUxKh+o1asILfSydkOK6HlCrDtJ2aZWCOZYOANnptKjUbVAgowPF8FAojONGXRXtHe5UWjOVYJJIJJJIJOnBCXAwN56EVhsDCRzKRgCDKECQpyhiqJJFK+P5os14SeNxy9YYZIZEdO3ZAFEWsWrVqSiQyMjKCTZs24fzzz8ePfvSjGclKmuuYc0RysuFWp4qWhhRuu/YKPLdjP15940309/fDdV3Mnz+fTgQF00kMw0YZFrbjgmGo22gh0JwwDFNRyhm/VqrVYKAGDcFUQkVZN+H5Hgb6B8D6PuY3qTiWt8D7BCzLwHUdWD6DhqSMFqX+8TeTosltRdNFAyeCYVm4rgvT9dGsimhSa39gFUVEi+0iHTgRJ4Ieg0cYELBYNr8RXRkJuq7D0kvYnx2AoihoaWqEIMrIyATtkocBk4XpszAt6se1ZlEzMmpAopqBhCLBcryq94dnGVx6ThMuOS+DvuEyJIGl9uXEQyJIVfR8H3tOFPFGPx0R5nkBrx7N49JzmpBJiehMC1SUlpAjQgaoQeDRvA0OHpSgxyALHEqmi109I7iwfSGO9R6HpuvomteFxlQiUphnkiKyxcA0MOgZsLwAhvHR1iDDdekNRS2snp8GzxZxdJiAMBIU4uDirhYsTLEwDB0D/TQXW1VVqAkVqqICDFDSDQgch3nNChpVs2a4mCTycD0PpkkHAhRVQaalBQmFnmzoxsmMI5FKuJ4XNdrpiCwBx7KRO8BYROWs4CRi0vBBqLIEjmMCGxiPkgjH1RwkAEZJxTUNDAwMYsnic2hccoW6PAQLWrrTLYLmlhY0t7TAdRxouo5CsQjPdaDIEhKJBAxDhywrdfcGkedm5CTiui527NgBnuenfBIpFArYtGkTurq68NOf/nRctMRbFQyZrOt2huG67oREkc1mceDAAVx55ZVTenxN0/Dor57Fzu4smlpaow+LItHQpGPHetDc3FIRMEPv3BOyBMN2wDJMsIFPTGYkyH4oahZM20J/fz9EQURbexvKlocn9+WQN5zwl6EqIt55fjMWV+RU1EJv3sTzbxaC2jvA8gJkluAdS1rQ0TDeFTkhS4FIDTiRN/FSdwG65cEnVFk9v0nGby1uhsCx0e+6Lh3r1DQNjk1tTHhRhi+lkNNpw/O8tjRUbnzOvEeAnOaibNrIJEUa56qI0PTxVvYAvXvuHjHx7P4BmtSnSLAtC7rjIyVxuH55exRXDAACz0PgOOiWjUHdwy9eO4EGha96bMfzYbs+NrSzUDgf5yyYD0EUq65r2XLx9P5cpK8gILBdgkxKxsZVnXSAYpKegyiIGCxqaFBE6hgckBwBgWVa0HQNukaDpjhBCIglQd1wg9dqOU5k9ikJtOyo6wb6+vqQSqXQ3Nxc1QcQOA4JWYTleIF2oj4SSqD4DuyIE4oMlmGqNBuEEDQklYh46iGpyuAYFrppVU3JjYVj6Ojtz6KrszNqrHMs7ccQQsut9ORdP1gNoCPxjO8hNzwCyzIhsCzUhAqGE6GqCtig3yDyHN73rktnhES2b98OnuexatWqKfUzSqUSNm3ahHQ6jYcffvi0uJTPVZx1RDI0NIQ9e/bgHe94xyk/9tDQEHbu3Il58+aha8EiPP7Sazg2MIR0QonKOL29vWhsbEAymQQh1WmGAs9BUUSUyifX7JclAYZhoLf3ONRkEs3NzdEpxvF8dA8bKBgOEiKHJe0p8AwloMgXqwY4jkXBcHFgoISyRYVzF3U2IK0I4xT0PEeV+pUbYpgJz/I8VJYgk6J3ugLHwSN+ZBFDCD2iFwp5pFNpCByD3EgBPM+jIZ2GoigQRLFqAz82YuA33SPQLBcsJ4BnfCztTGPNvDQwrjAxil+8PoARkyApsfT5CQka0S4uO7epqicSrq0xpeBgXxFPvpGFIrLgK+4eDceD4zi4oovHwnmdaEwqNOWQIChTUhQMB2/0l3CiQEl5YZOCVQsawYOAYalRoG7aNQklqUrj3iMuIGPdGN2oZUlAWdNQLlMhqWma1J0gIBVRFJEMNnjDslDWdfT39aOxsRGNjY3jmsl0OsuD53tIyDJYtpoYQlSTSDXCU3XY66sXgxCC56h7g+W4wUmFCiUty4Fd8V21DQ0nBgbR2dkJSard/wqvESEEmmHTyOkaqCpnESrA1HQdhq6DJT5kRYGiKvjQe6/E4oVd01KIhycRlmWxevXqKZGIpmm49dZbwfM8Hn300dOedDjXMOeIxPO8CZvphUIB27ZtO+UAmNBJ+KKLLsL8+fMB0LueV/YewQuvHYg8pE6cOI5kMoVUMMZIQcWGoX/WWEV8LaRUGccHssjlcmhva0OmpbmmAy8QBPXo1V9mVRbH6UcIIZE31FgwwR1uuClQsZs44V1fUglKRfCDE5kd/e3g4CAMw0RnZ0d0PJdEHsViGaZhYKRQpOsM+io+K+LxvVmYjo+ExIEBYBMGjkdw6aI01TvUwX3bT8AlBAlJABgGfvD+F00XK+elx03CSQJP7Up8gl/uH0Y2ryMt82BZamNSMGzMS3G4ZsX8gJT1aBowqdI+QKXlvx/cKKiSUKWDAWgzO6HK0HQr2vRCB+R6oPboMlzfh2XbVZu853kwdB2arkPXdWremU5BUWjpZjg3iFRDI9Tk+Os1SiLVm2/43tPN2QreV3MC6g7LWTI000ZCEuGD1ByrFTgOLMuMy5WnDwLIkgiBZzGUG8KJ7CC6OrsgSrXLORzLBKr7UbdgRQrKZxU9mXo9kRCu68K2TFy6pAucb0OSJGQyGbS2tqKpqemUSlKe52H79u3TIhHDMPD+978fruvi5z//eV3bl7cy5lyPZDKcao/E933s27cPfX19WLduHS0VBGBZFpeuWIyO1gY89sKuoEfCVMVzRuOdHB99AcKkwHqiLknk0d17nOa4d9BGvm5aUdBVJQGpsjjOLgWgZoVUPzLa9E2pSl0XVEJIpMEoGyZSCQXlSaZvaFSpAEmgPZ/weh0+1o/jJReMqGJkwMB5GRZpmYdlu2htbgQhjUg3NsE0TWiahqGhIRzJuyibLFIBiQA09S5vWzg6YuOCtvHhTCEaVQEDJQe+61EbdUGMGrijhowUPEt7WL7vgwGwfn4CL7kuSqYPz6MN6laVw29d2EmvhV5tgROScJj06Hp0aCAhizUJ2vcJSmUjEq36Ppl0qsknBLZLN0Y5cIouB4I+juOQTKWQTKXoadG1US6VcaKvH77vQ5Ko24As8OB5LsogqUciwKh7AgCkEhIYAkgBKda62RnbEymFPlgsi2RwUtEMCzzP0bHrWiQC0NFcy0Y+X0Z/NodzFy1CMqHCdT3oVnUpk2pOqstZBIFehC4KsiQGVvB2RO61oMoSbr/hKnRlmuB5XhQ+tWfPHvi+j5aWlshEcaIehed5UWDVVEnENE185CMfgWEYeOKJJ96WJAKchScSwzDw7LPP4tprr530OOs4Dnbu3AnLsrB27dqqDJGxKOkmHvn1Dux4fT8sy0I6nUIiqGcTQqAq8ri7VUkI3FkrvmgEBCO5HMq6gY7ODohC9Qc5oVCnVd8n4IIAK7euZoWCbno2PIK6E11Vz6FKcBwv2ownghqcRJKKjOFiCa9392PPkA+XjN7VKSKHq85vxvnt1OqbAYOEQid7vCB3+pXuYbzeV4bCEfiEUI8r34PtAZLA4bZLFoJhxyu+CSEY0n386vUT8AhN/vN9WoJrTat49wWNEMOpJoaBwvMw7DGGkJ6P7mwJw4USWtIqzutoDvoITk2iDxGWeACMOxHWvFaKCNO0oY7pbYyFJNLJwsrmtshT7YVWUYYSeQ6EEAyP5DE4OIiWlhaak67rsCwLsiwjlUqiraUJAM2enwhJVYJWYRsiBUMkdhDoBIyeRCazIBEDrYgXjIXXvI4EMLQSsrlhdHV1RfEKACDwHGSR6oYs24UocuOm4MatP8ocYSDyfHAdaW58JIycoCcSeuQNDg5icHAQ5XIZ6XQamUwGmUwGiUQi2jM8z8POnTvh+z7Wrl07JRKxLAu/8zu/g4GBAfzqV7+qirt4u2HOEYnv+xMq1x3HwVNPPYVrrrlmwtlsTdOwbds2JBIJrFq1atI5bqqRcPDUK3vwws590HUtqGdLaG9tBuH4caQAAAzLUL2BYcF1XRRHcjAcDx3tHXU/nILAgwGBwPMTNtYrVoeGZAIl3YgmyuqBCURqRcPG0byNY0N0UuqcZhXzGuUqk12OHSUyy7YwnBvE830EmgOkpCBTgxCULA/NKQkbV7RVDd/wPEvvMk0bhwc1vHB4GKrI0WAvx4bnudBsgvYEgyvOSSOhJtDSlKbOucHjpAJV+uFBDbtPFKHbVHWfSVJr/PZGSv6GZQcnjPEboK7rGBgYQHNzMxoaGpBWZRh1xlerriqhdiHUikaGUaPXEIKGg1WWWwiSigw/uHsPNyhR4OH7Ptw6p2aGYZBSZHgedWkeHsljaIhGKFeOybquC13X4ToWSqUyGJZDc2MDmhrS8FkW3hjnBVoerUMOgWuuwNOR82J54hOVGHxXwhsRlmGqBJY+IQGJFJEdGqEkUmfElWVYyCIPjqMnSd2q3bepJJGx4Fj6/BzL4vorVp90Y900TeRyOeRyOQwNDUEURWQyGTQ3N6OnpweEEKxZs2ZKGg/HcfDRj34U3d3dePrpp9HS0nLKj/FWwllHJL7v45e//CWuvvrqug29XC6HXbt2Yf78+bjgggsmPbn4vh/9j2VZ7O/px6/++3WYlgXHtpAvlKAbOgReCCzcVUiSFJWjCAgknsXRnh5wvDShe3GIhCyCZdlJey0A7beUdBNCoEg37Qn6HqqME8NlPLlvEAXDAcsJ8H0XHANcPC+NNQsa6JoJQVKmsb26QTdiX0zipV4bksiDxejdtOsTOD5w7dKWKsFj+NrTCQX5somfvz6AYZ3mXzAgsBzqPXbpggQSDHWNZTnaE0il0lAVpeqE4vkEhcDShObPM9GzNCVVFHVzXGmH3oHm0NaWQTKZBM+yVJ/j+0hIEjTLqku+oa9XiLC3YdhO1VSeLImwbDsKQBsLWRTAcyzV7Pj+hFNNAJ08I8RHMV9AqVRAc0tb4FI85nElanviuB7NXtc1aBodQ29pTNMyCssjqSooGxOTA3299HMUkoppu+N8rASeB0DqkjDtJYkYyg0iN1JAR0cneKH2RswyLEShelyYDf4ewXCB55MKEqz/PZjudJbneZGde19fH3zfR2trK9ra2tDa2lp3L6kF13Xxe7/3e9i3bx+efvpptLW1TWlNbyWcdUQCAE888QSuvPLKmpMRtZrq9RBOZIU9F5pmSD/MQ4UyHnl+J3TLhmk5tORg0JFYXaMbYkJN0Eaz72NwMIuutjaoqSTNopgAPMfCJyRSI2t1ei2a7WJ/VsfhbBksA5zTomJ5ZwqtDYkqW/oQieCu7oXDwziQ1ZAUOTAMA5ZlYbqUKG+6uB1NqkDJSTPpRpwbRKY1Ax0intibhcyzkCSROtQCAMNBNy1cu6ytrhpdEDjoto9XjubRkyvDJwSNqoCV89KY36hE19swDGi6BsvQqXWJpECWFaiqWrdJSr20DFrDV+hgAgFBPp/HyMgI2ts7oKpKdBqr3Lg4lo2uS+UlTikydbWtQeIMaEPdCbydrCA2eSJQkmcg8HzQOK5dVgxJZGBgEOUyFcNKooSEQq9rOCwRksj4ExKBaVoRqfCMD0VRkUgmwHICuFp314Shm/XY/lqY78HzMIPvHCH1SST8G62Ux1A+EHgmElVakxBjhYv1HqwhodLPRQ1SCzFTI76+72PXrl2wbRsXXnghhoeHkcvlUCgUqkpgyWSy7s2d53n4xCc+gR07duCZZ55BR0fHtNb0VsFZSSRPPfUUNmzYgHR6dJrH93288cYbGBgYwJo1ayatV4YEEr78WpuYZTt48tW92H+0f9zfhhbu5XIZPvHR0pCGIKtIJROQpdoZ6eHfhqOZISRBAGEIbHv0i6g7Hn7xehYF0wMTTAv5BGhJirhuWRuaU/Ru3gvq8DzHRvYRP9l2HJ5HxgQ/Eegei7XzEthwbgtMy8bISB75Qh7t7e1QFRWu7+PBXf3QLA9JiQPLcgDLoajpSMo8Nq3sqBqzHfu6Uiq16MhrFizXi+xCxoJlGfAsi2K5DEPX4Tk2ipoBRVHoiU9Vo3JDQhbHbYA8x6JcKmJgcKhq1LSuXxOCpDxZgqZbSChi4CU18UlQEqhmhQS2IxMJ4qo3YAJVlsAyDCWG4M9CEunrG4Bh6Ojs7IQwplxKLWpo5MB4x91qpFQZQ/kCdF2HrumwbSqATSQSkY8VUIdExr0GWn4SOA6WQzM/xj43IQRaMY+RQgldXV3VpEUIFFmCwLE0QRKIyKke6BRkkP0eNNsFgYPj+pHf2OkgkbVr11aV4izLqiqB8TwfTYFV5q97nodPfepTeOGFF7B161bMmzdvWmt6K2HOTW2dzDz42Mkt27ajD0mteN6xIMFpICxl1XtOSRRww+Ur0dXaiGd37I/uSkNTOk3TwDAMFnZ1oVAqo5DLIZsdgKqoaGttBmHpZlw0HfQMG3B9gvPa08CYCF4rsBVPVozv7h8oo2gTyDwDNshE8X2CoTLtR0g8G2Qw0B5FqMynLxA1qwS+60ASBYAQZAcHYegGurq6gg2HTkStXdCAl46MoGS54DnAdS3IkoT1C1N1SQQAbeAGugqRY9GYrDc1RiCLNKFRlmTIEhVttRIPtmUhOzTqWNzUkIbrSFUbFiEEJ/r6YZomzlm4AAlVRdkwg02p/mbpeT5KmoGUKgU56mzdfghASYQ2iulmKIsCRIGDZlio/DOB5zC+FMRE7wXPsVAkEa7nw3FdHD/RB9u20NU1r2ZtXuA5au7p+5BFHpIg1LxbTwVhaaIoQhRFNDY2wvO8wMpdg2kaUCQR6VQKusFF48V1X6tPYFs2wneMvt5RDy0AKBfyyJfK40kECEpVNmyWBnSRYI2u50XTkJWoIpHg7ytDqwSeQ0NCxXsuvXhGSOS1116rSSIADdSbN28e5s2bF+WvDw4ORvnr9957L1avXo3Dhw/jueeewzPPPBOTyBjMuRNJaAw4EX79619j6dKlyGQyKJfL2L59O5LJJFauXHlSTXXP8yYlkbE4MTiCR198bdTuZGAAnudhXlcXREEIrLkpqWmaBk3TwMLHMZ3HvmEXHgEYlgNDfJzTouKq85vBseOfO6lSrcoTbwzj+HB5XIa5Znk4p0XFuy5sjX7WlFIxUhoNwHru0BAODY6WtgDAcj34hOB9a+ejPDQAjgUamlprNkn7iyYO53QUTRcpkcWStiTmN6sQeL7mSUuRBRjG+J/LEn1s0x7dBMMNsB4UWYTtOCiVNZRLJZQ1DTzPI5FIQFEU5PN5eJ6Hzs5OcBw9CTQlVTiBC/BE72dCFoMMeBIRt+V444ScIs/B90nNhjkblMpsx42SBOtNb4UQeB6+7yE3mAV8H42tGTDMeFJW6vViCL0uAs9BN2lmx1h33nEgBAzxMTg8AtMwILAMZFUBy4tQVTW6y5YFAa7v1bVPASgZ5oeHYBgmmjMZcFzt7xgVLtITzdifK5JIy8OmTRND9QoSqYGZcvH1fR+7d++GYRhYt27dKflehVNgd999N37+85/j0KFDWL58Od73vvfhpptuwtq1a8+oLfzf/u3f4gtf+ELVzy688ELs27fvjK2hHubcieRkEJ5Icrkcdu7ciQULFkypqX4qatjO1kZctnYlfv78dvQe64EiCZjXNQ+phAItTHljAEkSIUkimpubMJDXsa93CD4YcMQDzzBwfR9v5jS0JUUs7xo/c14OjB95tj6/89zoumVJwEhJgyIK8AiB7XhYNS+NbMlCyXTDwSuwDINVC5ow3N8LjuOQaetAUlVgBxb1lWhPSVjclq5yAKYiPhepyB+Lro/nOTh27dp2aHaZTCjQTZt6lGl6zXJXCCMIGmtvbUZDKgnTdmAYBsrlMvL5PAAgmUzCsiwoioKGhIp8QEyKSEsjtUZbQ8Elwag1SEmnmSeV/QlJoOPe9aaufJ+ebMLNEQy9NvVux0SBflaP9R4HIQSdnR1gWQ7JQEAYnkBVSYRZr6HP0Kk1w6JE7HkeUgm5ruqeCaasNNNCa2srUHmDUyyiXBiBLMmQFBW+IoOtQwwAdesdHhlCSTPQ2dkJURQoKRBSpZyvRyJAdehUSpXg+wQpVampyAfmBokAo/nrDMNA0zS8+OKLOHjwIB599FF8/etfx9atW7FmzZpprfFUsXz5cjz55JPRf88VV+G5sYoKnGxpa2BgANlsFsuWLZv0mDm2qX6qJNI9pOMffnEQe/uKsGwGnNGMJayH8xNyRCK1cKxgwyMEqsCBEyTYpgku2Hj29A6jU3aRCGwywuUQQsAyDBY2SujNW7BdGo8KQvUSLAOc06wEr4OJXpMR1LRTKt2grl/ehgMDGrIlCyLPYnGrClLKQlKUaKoszMoYq9SvpzNggpp/GCZVNi3wLFMVLTweDMqaiYQqgfhkQhIJIQk8XQ+AhqQKlgGGh4ehqirS6TQMw0Aul4PIMRjgBCSDvooJWpcXeQ6SKERRrLJIw6HqbdIhYSYVOmI6mcYiVHuHv8cGdiqOV53tIQocHNdDb28vWJZDZ2cHGIYdJTHQDTihSFEo1WQ9kZJmjlaDEBgrMiw0kyrvWTCQRbHqJgAMIEoiRElEE5rgui5c20apVEIhPwxBEMAKElRFpf5QweP7no9SYRhlw0JnZycNGasgBeoXRns8nu9PqhNJKfKY3hSBKkngODaaIJtJEtmzZw90XZ8SiQD0u/j3f//3+H//7//hmWeewUUXXYTLLrsMt99+O2zbnhVXX57n52SDf84RyWTw/SDPoFjE+vXrT6mprtseXj4ygoLp4oK2JFZ0pSYlFMPx8OcP7EV3ToMAj3paSe3Yp5XQcLyI85rrjw3aHolS/jzXgSBJIL4PFw58MLBtG/l8HjzPIZGgE2CtTQ0oGxbOa1VxomDi6Ag1MCQ+AccyuLA9iQVNSpCiWK3GDjcoVREhCj7WLAgEk5aJ7EA/kqkUmpqaql4z/RsDCUWE4/oQeG7SsoPn+yjpBhqTSlXZqh4kkaf6A5/QTV4QamoGqIVJhc0LgKF8Ef19fWhtbkRDYxMcz4eqqlg4vxMj+RI0TUO+UEB2cBCKLENNJJBQVdiuR8ObJBGW7UQeYvUgcBxc14Pm0GhgNWh4W2NeH8+z49TeVO0eZIlIIkSBiyzcjx3rhSgKaGtrr/lZC0mTEAJZFCCJtLw1Vk2eVgNjxYqHIEA0XMAASCgyBG5yIkwmVDiiAFlV6fcpsGvJD+eo+l6QqMLeNqFbNiWRGiUcnxBYtgM2yNtRa9idhIhKmlXXgBlVuhOCVELBTVeumTES0TQN69atm5IDLyEEX/nKV/Dv//7vePrpp3HRRRdV/ftsufoePHgQXV1dkGUZl19+Ob785S9j4cKFs7KWSsy5HglAj+G1lmXbNnbu3IlisYiFCxfiggsumPBxKvshu0+U8FeP7Mdg2QYITYi79JxGfPHmpUiI9fn0ib1ZfP7hNyCxNLua52lteViz0ZXi8cHzWfQOjtT82wNZDb8+NARFpAJECgaGC5zfIuGqJS3wfQIjGCu2LWotHvpXybKMEwULfUUbkiggo3LoSEsVjfn6G0bov3S8PwutkEeqsWlS+wZJ4CHw/KQTPgCiU0y4AZi2W9MRmeNZMMC4jUUWBHAcB80wIx+sdEKu0nWYQXJlQ0NDRIApVYFP/HFeTKEFua5pMAJjxMZ0ivYDeD4a5601ScRzHLiaViDB9BXLQjMscBwDjmHrW4YEEAUetm0hO9APVVWRTDeiFjGrclBuq9ETCcOmDNOGIotVsbe1wDL0JKJb1F1XCQR8hmVXlekUiSr+a44zExqRWyqX4dsmfELAiRJkSY5ciysh1LNQIYSWZzkejuuA5ziqE5ngpm2mTiKEEOzZswelUgnr16+fMol8/etfx9e+9jU89dRTZ7x8VQ+PP/44yuUyLrzwQvT19eELX/gCjh8/jj179sy6NctZQyRhUz2VSoHj6BTKkiVL6j5GJYkYjo8P/ft25MoWUrIAlqEWHKbj4SPr5+GP3r245mN4noevPPgqHjygozUlV92VaZYLhmHw6Cc3YNfBo3h5z+Fxa3Y8airYP6KBY+nm7ng+ZIHF+9cvgswRREVmhoHIscgX6V22ruvUvj4o26iqilRChWHaEHgOtutOaP9BCNVZuKaGxpYMBHFiwRXD0BFQ03Yg8TwEka/bvE7I4riNISyRlXWz4iUx4wRpY6FIAr0LHlNS0jQN2WwWLS0tVWPesiTAtl2osgjX96vcfEP4Hp0A07QSiiWNOs4G17G5sQE8F/RRGKp34Dl23MljLCSegyQJsAP79okmoAzTxLHeXnrCbGmlmiNZhO+ToOTEVDX+64Eq7xU4Hj0pWrZT0/Ym9LGqZysflo9834Nh1SnxBfBcF4WRIViuj+bm5mg823EsMBwPQZCQTCaplTvDTmrDQ3tqdEBgrN1J5TWbKRJ5/fXXUSwWsW7dulMSGVY+xj333IO7774bTzzxBC655JJprel0Ip/PY9GiRfja176Gj33sY7O6lrOitDU4OIhdu3Zh4cKFWLJkCfbt2zehcePYpvrzbw4hp9lIyUI0KSULHByP4LHXs/jkO86BxFdPR1mWhV27diEteOA4Hj4YVB7uLdfH/CYFisjj8hXnY2F7C37+4mtVhn6NSRlXn9+AXb0M3szp8AjBomYVqxekIbM+JJ4HGAaW7QRCOzMiDRJaZ2sahoeHkc1moaoqmhrSUBrTsCYhkVwuB8+20NTSCkGUaH3aNGu6uVOn4NGSkuW6sFy6Wfs+qhqosshDM+1xd5eEEBQrmtAlzYIqC9W1+howLAdJWYTrelAD48RyqYRcLoe2tjYkKlxwZYGHY9NpqdAORJVFsAyLsjlaKgsbwrKioLnFDzQ/OrLZLAYG6HVsSKfQ0txIbTvqaH5C8BwLMIgyOxRRgCDwwd3+aMlMEnhouo7e48fRkKanKDBBgz5Yr8DTRrtpOfBJ/Z4IIVSsVxwTNhW67Vo2DZFiGRYCz0+YTaJbVtDMdyCJPPhAKzJ22oxa/AzBdn10dHSAYZhoMw5Hix3LxPDgAAo8DwT9KbnOaHFlOSt8/RzHQJEkMAA004TAzxyJ7N27F4VCAevXr58yifzrv/4r/uEf/gGPP/74nCYRAGhsbMQFF1yAQ4cOzfZS5iaRhKUOQgiOHj2KgwcPYvny5ejq6gJAm+21RIv1muojGv3dsdO2AkcbxbrtVRFJuVzGjh070NjYiDvecyG2DryG3hEDKYkDF2SrMwyDD6wdzUGYl2nC71x3OZ58ZS8OHuuHwHEwLBuqyOPy85px2blNIKiOww1LAo1JOr7LjLnDl2UZsiyjubkZjuOgXC6jVCqi90QfmhvSECUZkqJUlRx838fAwABAfLR3dIJhaXO3qBsQeZ4q0MdsnGm1uqQUQjdp/G9Kpep7muboT3gSolngBhqTajBRVN/1F6DBW5WW54ZWhl4qUO+pCpNNkaeN3rFTSuFrEQUekijAtG1abglOGAzDQlUTUNUEgNZIFZ7LDWEwmwUviMi0NCGZTMKocSoROHacjbrpOFGJLCFLYFgGtuuiVCrjxIk+NDU1oaGxoebrlQQB+ZIOEvz/WnnntMw3SiIRGMC07dEEQ0WEyPMTRgUAtCEfltBoQ9wBCIEkihAFHo7roqzrKAwPwfWB9oBEKsFxHFKpFMSmRviEoFgqwzINqi0ZGQLLiUgk6E0Qy3F1eiLUBmem43FDEsnn89M6idx77734m7/5Gzz66KO44oorprWmM4FyuYzDhw/j9ttvn+2lzM3SluM4cF0Xe/fuxeDgINasWUNDfgIcPnwY5XIZq1atin5WKTIEqu1OXj2ax//vv3bTRm9FPnbecLCoWcFPPrYu2uBzuRx2796NhQsX4rzzzgPDMDg8qOGLjx/A4UENng8kJA4fWNOJ/3nlonE56YQQ7D7ci9+8fnjSpidA71A9z4cYjJ1OVH8P+xKu60blL8Z34YOFGvRUhoaGwLEcFi6YB7uO1UVCluF41MOpVpmq5jqDQKKCZkyYcwEExBTcvYsCFdWFpaRKKJIA0xp16M3lctA0DZ2dnUgmVEgij7Jhgec4YDLrDtAbB0ngwHN0WqpeSY3jGAgcj1KZ6n20wG1XVRW0NDZAlGQQhq1JIrUgiwKKpTKGc4NobW0FL9VOxpsoJ0QSeIgCD9O2IYvSpFb1PMcFE3MuVYUHpyTH8WDYo6SUkKUxZpPj4bku8sODkEQJmfb24HQz/vNQ04eLEFi2HZXAbNuCIisALyChqjU9xMLXO1MnkTfeeAPDw8NYv379lFIJCSH40Y9+hD/90z/FQw89dMpZR2cKn/70p7Fx40YsWrQIJ06cwN/8zd9g586d2Lt3LzKZzKyubU4SSejc63ke1q5dO+7D0d3djeHhYaxduxZAdT8k9JaqhE8I/uAnu7G9J09jY4ORVY5l8BfXLcFNF7cDAI4dO4YDBw5g2bJl6OzsHPcY+wfKKAUTX4118tFDjJQ0/Oq/X0dvdnjC35MEPtrwGADJhFLTxVUJ8iXGvlme51GH2GIJxTI91XS2ZUYtMurwA8MwaEjIKOsW3Emt6UlwcrCoPbgkRqO1YxG6+Y6FwHO05BWO5EbhVPSEk81mYVkWurq6qk5YksDTbA3DntAMkWUDg8CoZxJYbvC0oR++RJZlol5QJTzXhabToQdD15FOqUgnk2B4kdqY1LmOiihiOJ9Hf/8AMqFxJMdBlUQ4nheNWE+mvI+unyrDdjw6OjyGFEJUJRbWgBSczhCUGye6SXBdB/mhHHyGQ1smAzBMNO3mE1p+IoSOMhMyfmhiLGSRx8DgEHzHhmkaAMNCkhV6oyNJAMPMKIns27cPQ0ND0yKRn/3sZ7jrrrtw33334brrrpvWmk4nPvzhD+O5557D0NAQMpkMrrzySnzpS1/C4sW1e7xnEnOSSF5++WUAwMUXX1xTcNPb24u+vj5s2LDhpJXqRdPBPVu78at9g3A9H20pCXdctgAbAxLZv38/+vv7sXr16qrTz3RACMFrh47h17sOjFNPA6EZ4fjNRRL5YOKGbnY8y0bCt1owDAP9AwPoamuFJIoYGBqBruvg2NGx4kp9AEDvaBkQEEKV6dQIsfZrSKvjdSUhoVTqGmjM7MTJfJRQBJi2G6nDBwYG4Pu0Ll9pvU9PDtSllo63SuNs24Gw2czX1TFQnYcM23aD8tDEegeOZWDoOvKFInRDhyIKSKWSYDihqh8gSyItkeVy1K+sRt6NwHNIyhIM25mwSQ8EOosxZCMJPESRGjgaFrXCmTBsKkCYMsjzXEWuCG30h3AdByNDgwBLvaVqEQ7LUK8ugEG5IiWy5vrHlLPCbBXXsWAZBjzPh6Kq+OB7rsCyJedOS0xXSSLr1q2b1BapHh544AF8/OMfx09/+lPcdNNNU17P2x1zkkjCCNJ6X7q+vj50d3fjsssuO2W7E812oVkeWhIiOJaB67qR+nXNmjVT/kBOhKJm4KlX9uJI32D0s3okUolUkMIoiUJdM8JyuYzBQVpS6ci0wHJcKBIdFw2NJTVdA4DIrVhNqJBFmkQXQgg2nNIYfcdkliaUUAQ4jg+7nuiv8vc5DgxLeymywOPI0aPwCYP29vaqkyTHMhAEvuZUlhR4UIVlIlngoU8ihgtPIiCkZqM8hEjH66JpJEIITMOEptOTisCxkBUViYQKzTCRH8mjo6MDslL7brhSRBieFGynuidS1513DFRZBM9xsF0vMjWshXrZHpFVCSHIF8sYyQ2C5QWqfp/Qh8uH6/mRAJJlmXF57fV6IhEIge+5uHzpfDCuBdM00dzcHJkjnsppghCC/fv3Y3BwEOvXr5/yd/bRRx/FnXfeiR/+8Ie45ZZbpvQYMSjmJJG4rjvhVFY2m8WBAwdw2WWXgRBS1Q85FRiGgZ07d0IURaxcufK0KlUJIXij+wS2bt8HnxA4jjvppgsADQkZvo9xd6oAKmzU29HYkIbnjUaxSjwPQeCjGN8wFrdcLkPiWTBhtsoY+3ZJFCBwHEqGWTdIaiwkQQDDkMCLq344FMey4IOJI8dx0NfXB1mScM6iBWDA0PRFhgEbZHtPNIkE0JNaUpVgOW5NY8DoeQNX27E5LglFDqaHqNWHyFOn37rlGwJYtgXPoc7JLAPwggBRUpBIjtdZjFWiV18zetKwHRc8w0Cb5LWO7U8IdU4a48wQa8C2bYwMDSKdSiGTyUA3nZonjUoSGX8taOlQFHgADAqlMpgJfKckgcet77oEXa20nKVpWpRkWCgUkArWMpmNOyEEBw4cQDabnRaJ/OIXv8Dtt9+O733ve/jQhz40pceIMYo5SSQTxe2G+ohXXnkFHR0daGtrQ0tLyymbpxUKBezcuRNtbW248MILz5j5mmZY+PWu/Xj9zeOT/i4NIjKizG6OZaPskqGhIWiaho6ODqiqDJ5hYdW4ZookgqlQEKcUCbmRQmQs6ThOJICsNPNLJ2j632QRtHTzHS27hWUk07Krmv2VJwzbttDX14dEIonW1haEm54k8tQwkRBoNUwgK0EFeEKU+U3v9qmNfOXGN1oeq39ioZYvMnziTxo0pkoijp3oQ7lcRiaTgWM7VEjq2GAFAbwgIplMoqUxXZdEQlBPLDr6LAY9o1rlL5HnQeDDqRPJHPY0WIZFQdNAJnhSJ0jCFCQFzc3NAMMEAkYRHMvCtOxA6zS5mSMwehIRKqN5x2hFxpLIWNi2jVwuh8HBQQwNDUEQhIhUmpqaou8mIQQHDx5Ef38/1q9fP2F09kR4+umn8eEPfxjf/va3cdttt03pJjRGNc4qIqm0O8nnac51NpuF67rIZDIRqUyWvzwwMIDXX38dixcvxsKFC2flg3R8cATPbHsDA8OFmv+uSCJMa4xgjdCfHz9+AppporOzEzzPQ5WEiUdAA2NCnudQKOlV/+Q4TkQqYU54U2MDJEkGy3HBBs2jpI3vffAcDXOqXa+nUbSuTyOMZZGWnwzDwMBAPxobG4NeVOXI8+jrTigSHM+v8q4KMZZEKsEAUBWaXmnaDnhufE78WNCNmt7tCzwHRRRhjxnJBejaeo71wjBNdHV2VSUDhjoL2zTgORY8wtCTSo3+FADqiSUL40axw2z3sFEvi0L9U0EFwg2dDUgFCGNxR3/Hti0MDw5CVFQ0NzXVLkMRglRCDRIu3Zq5JCGi6byxo8Is1YoABJ7vY/M7N9QlkbHwPC+ycR8cHITrumhtbUVrayuKxWJ0EpkqiTz33HP4wAc+gP/7f/8v7rzzzphEZghnDZFUkkhlKYsQEn3ABgYGYNt2VYRmZbmBEIIjR46gu7sbF1988ayPzBFCsPfIcfx614Eqzyx6Vz5+8/BcD/39/WBYBuefew4sx4MqCyc1Zhw2wlVFpmr/Gj0F13XhWBZK5RLKmg5RFKNmvarIUAPRou/7VWmAE4KhG45PCAYGh5DNZtHa2opUKl39a0ztYCpZoFYh9HnJhCRSCY5lIfI8eJ6F6/nR9NRYSEK4UY8vZ9GRXGr4yLMsjhw9Btux0dXZBY4ff7NCCEE6qaJY0qAbBlzbgmnocD0CQZSQSCagKio4jg1ew8SnrkQgtvSJHynia6FefyIkVRYM8uUSBvsHIKmJCf3pZFGIpunCayAJPL2GFSW0eiQy9vrdevUGdGWaJ3yd9RDauGezWRw/fhy2bSOdTqOjowOZTOaUyeTFF1/Erbfein/8x3/EJz7xiZhEZhBzkkjGpiTWI5GxIISgXC5HpGIYBpqbm9He3o6WlhYcPHgQw8PDWLNmzax701TCcly8svdNbNvXDd/3aVzsGMGlYwc9BVlGpo2696ZVGQRM0Jeof8dK7/JH9RrhOC8Bqiagwka47XjwfQ+aFozDGnqUCZJKJtHc1ADij1qg10NYMtFNC8VCESMjwzhn0QKIolx1iqFNXHFCFTz1DpPBsgyKZb3u7wHhSYmtUuSLPA850K2EjXRavqlNIpVQRAHHenvBMQxa2tpQ26aqWole8Q8wTROObcE2DeiWTfUVklxVShyLsRs6xwY2K8HUWriElKqgVCcyOIRtWRjKZdHc1IxMaytM266pMVJEAbZbK96XImzWcyyL/CTvwWTlrJMFIQSHDx/G8ePHcfHFF0e9ldANOiyBNTQ0TEgMr7zyCjZt2oQvfvGLuOuuu2ISmWHMaSIJlepTzRAJ/Zr6+/tRLpfBcRzOO+88dHV1zZp750TIl3X8Zs8hvH7keJV63DRM9Pf3I92QRnNTM8AETdXApTcc0dRrTCJJAg/X9epuDrIkgGc56JYV5J3XKinSMU5Noy6xssiDFyRkWppoUmSN8lN4N6zpJkZGRlAoFNDR2UHLPGR0+kc3TSjyxHb8QLUpIW000wCssWW1yTQWoc2IFOSU18rPqIQiCTj0ZjcYhkFHRwddhyRC4HlYlg07uMFJJ5RJT4YswwDER7FUgmMZ0HQDDMtT76pEIhr2UCQBllM/J55laN6IwLHIa3rdLBSAWv0MDw5ATTWgoSFQ21cKGIO+jCJLcBxnwtRIYJS4WDYooTEMDKt6wEISeLzvXZeis7Vxwsc6GRw+fBi9vb1Yt24dkhV2Oa7rYmhoCIODg8jlcgAQkcrY8vaOHTtw00034a/+6q/wJ3/yJzGJnAbMWSKxbbuuUv1UoGkaduzYQX2qmpowODiIYrGIxsZGtLW1oa2tbUpCptOJXL6El18/hAM9/SiVShjMDqKlddS8UJUlGMZ43QcTEEpo4y1y4RTSxPV1lqVqd4AK0OodbhjQTW6oollPCEFDOoXmpgYwHA+fhNND1DtsMDcIXdeDUCRx3OOpCs3TqBTvjQUXTHGNKwURSoSh1xTD4KQ0FrIkBpumHxka1gqJUkQeBw4fgcDzaG9vHz+VFEwuKSL1FKvnJEBfA1XKmxVrc10XtmXCsUyUNQ0ELFoaG8FLEiWViXy4kiqKZZ027BUJHMNAG/MabMtELptFMt2AdEgiNZBUZDAMampNKp+zPlmO5ooQQnDzVetnhETefPNN9PT0YP369VUkMha+76NQKER9FdM08frrr8NxHKxcuRK/93u/h09/+tP47Gc/G5PIacKcJBLXdWGaox/YqU5UDQ8PY9euXZg/fz7OP//86ENkmiay2Syy2Szy+TzS6TTa2trQ3t5+WnQkUwEhBDv3vIEnXtgGh1OgJmg9WBap++1Eo8NMcGKpTOCb6HeVino9G5SQLMcdJ6JMKmL14xHAtMyIVDzPQ0tTAxpSKdg+MDw0DNux0dnRWdWYDp9HkarLWbIgQBA4GJYTlZsmc7YNIXI0zCrM6Kh3fZQwn2Tcv5OKkCgbIs/gwOEjkCUJmba2OhsQQVJRqGYjHIcNypKVhogTpQeG8D0PDPFRKhXpNJ1HomyVShHkyW7o+UIBA/0DSDU0IpVO1/jd2teDY1moUnAdDRs+SOT9NZltiyQIeN+7LpkREjly5AiOHj06KYnUgqZp+M///E9873vfw969e9HZ2Ynf//3fx6ZNm3DxxRfPKpncfffd+NznPoc//MM/xDe+8Y1ZW8dMY04SyR133IHDhw9j8+bNuPnmmzFv3rxTfvN7e3uxf/9+LF26dMIERdu2I1IZHh5GMpmMSCWRSEz3pUwJoeBqYGAAa9asge0zeHnPIXT3DcLzJp/giRrhFs3HDgmlVvkp7GGMX0Qw/cQw0AxzcosPAliODbg2Bofy8H2adqcm01DVRFVzmglIpJ7IMjypgFDl/WRN6dCnLBxBZhhq0w4gGpcGEDngTqbfkTgWPceOIZVKIplurP37BFUhXNX/RktHosDD8Tz4/sQeakCQJ2+NlnPDkeJyuUxLT4oKRVXRkWmh7ssTwDINDGazdOCkpRmO40KvMVY82fVgGAZqoBUpasaEfbjTQSLr1q2bci9z//79uP766/GhD30Ia9aswSOPPIInnngCv/u7v4t77rln2mucCl555RV88IMfRDqdxtVXXx0TyelGb28v7rvvPmzZsgUvvvgi1q9fj02bNmHTpk1YtGjRhKQSzpqfOHECK1eupLPyJwnHcaKR4qGhISiKEpHKRCKpmYTnedi9ezd0XR+ntM+NlLDjQDf2Hjlel0xoL2G8I6wk0I2tbIzmhYw7YdRBWqVrMKwJ/K4CdXahpKGvr4+OoSoqdF0HfBeyLIETZCSSCaSTibokEoJj2Sh3JSFLFVke1ZAEHj6pr7FgWQYJmU4uFXVzwvwPABA5ehJJp1Jobm5GmH/OMgz0oBcQ9X8muXYCz4NBkPUi8nAdr+aGHtqZ1FwZIbBtG15gM5IvaZAUOlacCEK7KhGSSGNzS9WdPB0rHp2+UiVpUlKNTj+aifDExvNU2Fl54ppJEunu7kZ3d/e0SOTw4cO47rrr8OEPfxhf/epXo4qGaZrI5/OzElVbLpexdu1a/Mu//Av+/u//HqtXr46J5EyBEIK+vj488MAD2LJlC5577jmsXLkyIpXKchUwuglrmobVq1dP60Thui5yuRyy2SzNBxdFtLe3o62tDel0+rSQim3b2LFjBziOw6pVq+oq7XXTwq6DPdh54GiVDqHeCG0lOJaFKtM8iHETRjUw9iSSUOjflnUbYIKPDqGJjSPFEp0sU+QoFx6gY8uarsE0dPieA44VwAXCPVEcb4hYa+qK/pw2eO2wQSyKJyWaCzdqlmWhyiI834duVIvmCCEQWeDgm91U41JjRDa0CBF5DkXdnPAOvZ6IcKxOJKXK9UlkdHW0ya2bcBwbvutA1zQUyxp4QURCVaEmEvA8B0ODg2hqbq3KcRl3PVQJCDLVdMuq2aynU2gKilrtEhq1oOfAMAxuunLtjJDI0aNH8eabb2LdunVVYWangu7ublx//fXYuHEjvvnNb54xofFkuOOOO9Dc3Iyvf/3reOc73xkTyWwhDGsKSeXpp5/G0qVLI1KRZRm///u/jz/7sz/DO9/5zhm1O/E8D0NDVAMxODgIjuOik0pjY+OMkEo4FJBOp7FixYqT+gK4nod93Sewbd8R5PJlJBRp0uknYJQcEjItXZV1a5QUavxeLYQOt6ZlQxQEDOUL6OvvQyqVQktzy3gBXqD/KOsGFe7ZFhzLhEcAqUK4J/DcSVm3p1QqOrQcd8LfrXe3zwWk4hOCsmaCZ3wc6u5BS3Nz3cY0yyCYHKOBIGE/olbA1cmICOn4Ns181wyrjkyEBGaO428OPNeF5zowDR2FUgnEByRZRkNjY+S0OxY03nd0FJwNyleV01fRKPMEHmsAtdN5/7svQUdL44S/dzLo6enB4cOHp0Uivb29uPbaa/He974X3/rWt+YMifzkJz/Bl770JbzyyiuQZTkmkrkCQghGRkbw8MMP4/7778cTTzwBWZaxcuVK/MM//APWrl172j5Evu9HiYXZbBYMwyCTyaC9vb3KzuFUkM/nsXPnTsybN2/cKetkQAjB0f4cXjvYg8O92QkdWmuRA89Ri3c67eXW/b2xCPUfZU1Dtn8AiVQayRqbAMuwkERunAiS+D50w4Dn0DwL1/OQSCQgygqUOql7wPjccUkQIAl0dLky+pVuwBP7TgEEjOehr78PmbY2cHxt6/16r4E+RNCo51j4vg/LcU9Oia6Pro1jGaiSBAISNblpH2by98HQdeQGszTXHj6KxTIsx0UimURCVem1DHQoeo0ogsproUoSRIF6po1NUKzE6SCRtWvXjo4onyL6+vpw3XXX4bd/+7fx3e9+d1J3izOFY8eOYf369fjVr36FlStXAkBMJHMRDz74IG6//XbcdNNNME0Tv/zlL9HZ2YlNmzZh8+bNWLNmzWkllXw+HwkgCSFVVi0n87yhXcuSJUuwYMGCaa+prJvY82Yvdh/sGVe6OpmGuSpLkEQO+bIxYRJi2DDPBkmDmUwGqVQKCYVajofOvGGvYzIFvMCxMAwDlmlC1zTotg1FpicVpcJYcsIGMSFQggwSMECxPLHyGiDwHRtHe0/QWN9EAlzQU/EIgR6cZGqN7taCLImwbQeiQD3D6p2WJnPKDU8JPM+hqJkT3hgYmoZcLofWTCZKlCSEwHVseI6NYrEI3bTR3JAGK4hRgmHNqzGmJ1IVllXR25lJEjl27BgOHTo0LRIZGBjA9ddfj/Xr1+MHP/jBnCERgO5Pt9xyS9WaPM+LcpMsy5pT650qzmoi2bVrF6688kr8x3/8R2QDXS6X8fOf/xz3338/Hn/8cTQ3N+Pmm2/G5s2bsWHDhtP2phFCUCgUMDAwgGw2C8dxIlJpbW2t+bxHjx7F4cOHT4tdi+/76O6jp5QjJ7KBvcnkJ4yEQieRwia15/vj8j/CMlVfliqMa2VxcCwdIyaEVN1518K4UhAhsGwLxKXxwmXdhCzLaG1pAsuLkxJ0mCSp1BnHpc8BOLaB3hP96Ghvr4r1jV5n8BpY0H7SRN+UegRHXX5HG+3phDqpEr2ymV/LUDGEoZWRy+WQaWuHXG9snRCIPINisQxNK6Oo6ZAkOWrW80EJmObO1BdVhjkyLMvixivXzAiJ9Pb24sCBA1i7du2UM4ByuRxuuOEGLFu2DD/+8Y+nlXFyOlAqlXD06NGqn915551YunQpPvOZz2DFihWztLKZxVlNJAC9o6l3J6/rOp544gncf//9eOyxx5BIJLBx40Zs3rwZl19++Wn70IUeQSGpmKYZ+X9lMhlwHIcDBw5EQVpTvRM7WRQ1HW8cOYHX3+zFSEmr+TsTTSKJPDVuNG0Xvu9B5Hkc7+tHsVRCZ0cHpBqCToHnInGgwLNQRKm2EaIowK6wAqkF13XAeC7yhSKKZQ2SLEceYGO91EKhXtVGXTGOG5a/LL2MvoFBdHR21hWkihwXZZOwgVMvMN4McWzfoRbCtRHfp6edOt5ZowMTNUZ8CYEiixA4DtlcDoO5IUoiEwhqk4oErSK0zHUdEI9GNedLRfC8CFVR0JFphe35NdcUYiZPIiGJrFmzZkLvr4kwPDyMG2+8Eeeddx5++tOfzkm3ilqIS1tnMUzTxJNPPoktW7bgoYceAs/z2LhxI2655RZceeWVpy2LhBACTdMiUtE0LXquNWvWTLmxONW19A3lsffNXuzr7oumomiZarwT7VhwLD2JZLNZjBSKaG/vqJnJHY692jUcnEMjRNtx6NG+otdRD5UZG77nwXdtlEol5IvlyFhSUVVkmhpQnMSmhAGBUS6jWCqivaMTPmo7JkwULRuZITIMTQGcsO9QW0QY+lZ5PoERZKqzYCBP5uQMQC+VkBsewoL585FOJeuaUo4lkbHwfQ++68A2TQwXCvAJoKqjiZqVjydLdMR3Jkjk+PHj2L9//7RIJJ/PY+PGjejo6MCWLVsgSdK013WmEBPJWwSO4+CZZ57B/fffjwcffBCe5+HGG2/E5s2b8c53vvO0fSht28a2bdvgui4EQUC5XEZTU1Nk1XImvwyO6+Fw7wBef/MYBvOlSTURPMeCZRj0HOuF67ro6OxEQzIBhqF+WSEXTKbrCEEzwX2IgjBOl1CJifoJxPdBPAfFUgm6psMDg0SQrSLVmFpiGQb5kWHkC0V0dnZCEMVxpSeGYU566iqcCFMkCRzHjCs9AZMp0YN1sQwSigSWYVHS9JqmkCG0UhHDwyNoa++o+ryEQVehqWNSlYJQsok1V+HafN+H71FSKRSLMG0HiUQSiYSKpsYGfPA9l6O9efon5xMnTmDfvn1YvXr1KWm8KlEsFrF582ak02k8/PDDc87i6O2ItyWRVMJ1XTz//PP42c9+hgcffBCapuHGG2/Epk2b8O53v3vGLFN0Xcf27duRTqexfPlycBwHwzCi6a9CoYCGhga0t7cjk8mcUauWsm5if08f9nWfQP9Qfty/ixy1te851gsA1LyQq1aqJwLRnmFZ4zbTsUjIEnSz4k65wl7EsN1ocuxkrMojhbluAr6LcrmEoZECwLBVefUcy2I4N4iSpqOzq6tmWVPkeSgSdQQu6+aE03M1kwgJgSJL4IMgLdtxTtLMkYUUWMOEYVdUAFnhnUUIJZGRAto72iGK9W86kipNfiSEQDftOqLDUW1KrX/zXBeObcHQNaw5tw3nLZwXmSJO9Yanr68Pb7zxxrRIpFwu49Zbb4Uoinj00UennEsSY2bxtieSSnieh5deegn33XcfHnjgAYyMjOC6667Dpk2b8N73vnfKAsdwvLerqwtLliypuUFZlhWRysjICFKpVKRVOZNflpFiGW90n8Ab3ceRL+kQBQ6O46LnWC8EQUB7W1vNSNVwJBcAEpIIjwB6DW1EUp243AJCIIkCtW4xJjZCZBg6ZTb2NMUAAamUMTSSBxtMyLg+QVdnZ9RgrvcafJ9EfR3X88YZGU6aTx68joaUCuIDtuPAqBMQNWpnU2uqjQQuySwGsgMYHs6jvWO8+WUlxo4VVxFTZOo4EYmMQpYEvP/dlyIp8ZHjQ7FYjLzpMpnMSX8nQhJZtWoVWlpaTupvxkLXdbz//e+H7/v4+c9/fsoeXDFOH2IiqQPf9/HKK69EpNLX14f3vve92LRpE66//vqTtm/IZrPYs2fPKY332rZdZdWSSCSq/L/OhFULIQT9QwXsOvAmnnlxGxheQGtra83nVmWadzL2zjfM0PB8As00g81r4gmuqlLQBEaIVBwonUTAFYPB/hNwPR+W48H1PKiBxUjlKOxEY8VhPyOMMpicRAL9R8VGLQqjFiVa0M/gORY8y9a07q98sHKxgJF8EYsWLUBSVWE744cWACCVCAiu7vUlgTKfh25NrBMJSWRsOcuyrMhld3h4GIqiTJoJ0t/fj717906LREzTxIc+9CGUy2U88cQTZ7S3GGNyxERyEvB9Hzt37oxIpbu7G+9+97uxadMm3HjjjXW/QD09PTh06BBWrFiBtra2KT234zhVVi2yLEdWLalU6rSSSqVQUk4348DRPhw41lfVlJ/QJ6oCYUqi75O6VuVUxa2gVGtMOZy8EmmjnmHYSR2BeZZB7/HjIGDQ0d4OhmHAsYCh6RgaGQnMEBVkmpvA8kJdfQV9emoZUjYsJBSJlo1C4WAFGNDS3UQeZjxHbWoirUv9Z0WpUEC+WERHR2fVQIgYZKTTPBHrpEi6+iRSXydSj0TGojITZHBwECzLRiPvzc3N9CQ1MIA9e/Zg1apVaG1tnfDx6sGyLNx2220YHBzEL3/5yyk36GOcPsREcooghOD111+PTCX37duHq6++Gps3b8aNN96IlpYW+L6P73//+zj//POxZs2aGRvv9TwPuVwOAwMDkf9X2KifLCHuVDE4OIjdu3fj/PPPx8KFC6Of+76PnoEh7O8+gRO5PIaLJZzUCaPiLn70Dp+eVABmdAOexMwxDK5iGAYCz9FN0B5/d86zQE9PLzieR1tAImNWBp5lYRk6ciN5aLoBWZKodXtFyFT1a6gmuMhlOCgbEdB8k8nNHEdHozmW5okQf2w/g6BYGEGxWEZHZyd4vv5UYTohgxDAI6RmTk34eElVqToljV2TLAngWBY3/fbaU26s+75flbXuOA6SySSKxSKWL1+Ozs7OU3q8EI7j4KMf/SiOHj2Kp556asonmhinFzGRTAOEEBw4cAD3338/7r//frz22mu44oorYBgGjh8/jueffx7t7e2n5bk9z8Pw8DAGBgaq/L/a2tqoVcY0SOXEiRN44403sHz58gmdUj3Px9H+HA709OHQsYFxJosnM7HEcyzkIL61UNInvKGu3IArIQk8JFGI7NJ5jsHRo8cgSRJaK8wjxyKlyFHGhsBxsCwDQyN5lMoaREGIyl+tTY2T9hM4hkFCpap+3bTqTnyJAgcQpuZo9Kj9PYMTfSdQLGvo6OicUO80tpzFstStGCAwTDtILiTBcMDEBCdLAj7w7kvRNs3pLEIIjh49ioMHD0KWZViWhaampui0crJTVq7r4vd+7/ewb98+PPPMMzMu2o0xc4iJZIZACMGrr76KD3zgAyiXy3AcB6tWrcLNN9+MTZs2oaur67SVocK7wZBUCCERqYQlhpNFd3c33nzzzVOuZ7ueh57+HPYf7cPh3gFYtntSPlHUw4omHHKROy8Z16ifSNdRCYlncaynB2oyiUQyXXMwAKhomI9jLkJPOpaJoZE8bNOA4zMVE2DSuL8Zn+BIoEjUct2qGG0em5tSC4QQlArDKJZ1nHfOOZCCnPlafzO2sT4WVNwoQRQ4lHVzwnFmRRLx/ndfMm0SAehp9rXXXsPFF1+MtrY2GIYR9fzy+XyU+ZPJZOrGM3ieh0984hPYsWMHnnnmmVmxfo9x8oiJZIZw5MgRXHvttVi5ciX+4z/+A7lcDvfffz+2bNmCl156CRs2bIisWhYuXHjaSCU0tAwnwDzPq/L/qmcRE+a49PX1TVso6Xoeevpy2N8TkEodj6qo2Vzj36mJoQgfgOu48AiZPNALBG92H0U6nUZTU1OU7e751RGy0VjxhP0E2jC3LBuuayOfL2I4X6B3/IFoT1EU8Dw7wdQVEPYiREGA7/soTTBWTAhBKT+Moqajs7Or4r0aHTqwHBem5aAhqZzka5Cou3PoVjyG3IDTQyIrVqyoeRq3bRu5XC7KWpckKWrWNzY2gmVZeJ6HT33qU3jhhRewdevWCYPpYswNxEQyQzhx4gT+/d//HX/5l39ZdQIghODEiROR/f2vf/1rrFy5Eps3b8amTZuwePHi00oqxWIxUtXbth1ZtbS2tkYlE9/3sXfvXuTzeaxdu3ZGx43Dk8qBnv6q8pfIcWBOwi5ekQS4rgdZEus2uAGAJR7e7D6GpqZGNDQ0jvt3nmMhiwJ4nkO+OHEJrdJzbOxjEM9FoVjC0MgIGAZIp1IQRAmqqoJhap9+wmkt1/NpHokk0LHiCpsUQgiKI0Mo6SY6OzsnJPyGpEpPNp4Po07OPVBJIuMeJSAmHizL4Oar1iHTNP0pqFwuh127dtUlkbEIy7NhPMMXv/jF6GZn165dePbZZ7Fo0aJpr2sq+Na3voVvfetb6O7uBgAsX74cn//853H99dfPynrmOmIiOYMghCCbzeLBBx/Eli1b8Mwzz2Dp0qURqSxduvS0kkq5XI5IxTAMtLS0oLW1Ff39/XBdF2vWrDmt6nrP89EzQHsqR/tyk/YdopHcCqk3yzBQlWrPK8Z38Wb3MbS2tiCVqr0hEkKQTtKGeWWDWzOrg50YJogfNiaeCJMEHp7noFQqIzc8Atd1oShqUAJTwbKUCGRJgOPU9hILhw5cz8OJvuPQDRudnZ3R39Z+DWpQkqMQeBayKEaK9hDJGkQ4Fook4gPXXDpjJPLaa69h2bJlUypDEULwq1/9Ct/85jfxm9/8Bp7n4dprr8WmTZtw8803T3nia6p45JFHwHEclixZAkIIfvCDH+CrX/0qduzYgeXLl5/RtZwNiIlklhCWoB566CHcf//9ePLJJ3HeeedF9vfLly8/rcE85XIZfX196Onpge/7aG5ujsaKz4T5nef56M0O4+CxPhw81j/O5ytSv0/w6WQYgCUueo+fQGNzCxSlnjiuvgCvkpjCkK7JPMdEPjBzDE5TLMuAY4ByuYTccB6WZUNRZLQ0NUIQJTB1iAEACPFRGB6CaTs475xFYFm2phq9kgjrgWMZKLIInuNQLBsTxujOJIkMDQ1h165dUyYRgJ6K/+qv/go/+9nP8Mwzz8B1XTz00EN48MEH8fGPfxwf+9jHpr3O6aK5uRlf/epX58Ra5hpiIpkjKBQKeOSRR6Kgrnnz5kWksnr16hknFcMwsH37diSTSSxevDjSqhSLRTQ2NkZWLWfCx8j3fRwfHAmmv/oBMNB0c1IjROLaONp7HO3tHUGAE53+MszqxMKx4sBaYFlqU8KyLDiWgWbYNU8RkzX9GYaBwDEwDR1DwyMoaQYkSYya9YIwStK+76MwkoNhudR2JniPw+ktJsiJd12fuhpPklhYZT8/5jE8b/RqziSJDA8PY+fOnbjoooumPOJLCMHf/d3f4Qc/+AG2bt2KpUuXjvv3MyHCrQfP8/Czn/0Md9xxB3bs2IFly5bN2lrmKmIimYMolUpVmSqtra2RU/GGDRumTSqlUgk7duxAJpMZV04zTTMK6ioUCkin09FJ5Uz4fxFCcGJwBAeP9ePQsX4Uagj2CCFwbQPH+wbQ0dEBWR67LtpYZjkWLAiKNfsEo6DhW2MV5gQJhXp0GZYNx/VO2swxoUgwTBs+8SEJPAxDx/BwHsUydX4OG/WGVoJpu+js7KjbXwEIGpMJeMSvO70FUKW/UsMuJroeshTpb265egNaG0/OmWEihCSydOlSdHV1TekxCCG4++678e1vfxvPPPPMnMrn2L17Ny6//HKYpolkMokf//jHuOGGG2Z7WXMSMZH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+      "text/plain": "<graphviz.graphs.Digraph at 0x16f852070>"
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "darts_estimator_tuned.set_params(\n",
+    "    arch_updates_per_epoch=0,\n",
+    "    param_updates_per_epoch=1000,\n",
+    "    sampling_strategy=\"sample\",\n",
+    "    max_epochs=1\n",
+    ")\n",
+    "darts_estimator_tuned.fit(X, y)\n",
+    "show_results(estimator=darts_estimator_tuned, label=\"resampled DARTSRegressor\")\n",
+    "darts_estimator_tuned.visualize_model()\n"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "0it [00:00, ?it/s]",
+      "application/vnd.jupyter.widget-view+json": {
+       "version_major": 2,
+       "version_minor": 0,
+       "model_id": "d795b0ef59f340ecaa60a90cd7d9b0ff"
+      }
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/png": 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+      "text/plain": "<graphviz.graphs.Digraph at 0x2a133cbb0>"
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "darts_estimator_tuned.set_params(\n",
+    "    arch_updates_per_epoch=0,\n",
+    "    param_updates_per_epoch=1000,\n",
+    "    sampling_strategy=\"max\",\n",
+    "    max_epochs=0\n",
+    ")\n",
+    "darts_estimator_tuned.fit(X, y)\n",
+    "show_results(estimator=darts_estimator_tuned, label=\"resampled DARTSRegressor\")\n",
+    "darts_estimator_tuned.visualize_model()\n"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.13"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}
diff --git a/example/cycle/simple_cycle_bms_model_poppernet.py b/example/cycle/simple_cycle_bms_model_poppernet.py
deleted file mode 100644
index a0027625d..000000000
--- a/example/cycle/simple_cycle_bms_model_poppernet.py
+++ /dev/null
@@ -1,134 +0,0 @@
-import matplotlib.pyplot as plt
-import numpy as np
-
-from autora.cycle import Cycle
-from autora.experimentalist.pipeline import Pipeline
-from autora.experimentalist.pooler import grid_pool, poppernet_pool
-from autora.experimentalist.sampler import nearest_values_sampler
-from autora.skl.bms import BMSRegressor
-from autora.variable import Variable, VariableCollection
-
-# meta parameters
-ground_truth_resolution = 1000
-samples_per_cycle = 7
-value_range = (-1, 5)
-allowed_values = np.linspace(value_range[0], value_range[1], ground_truth_resolution)
-
-
-# define ground truth
-def ground_truth(xs):
-    # return (xs ** 2.) + xs + 1.
-    y = xs * 1.0
-    y[xs < 0] = 0
-    return y
-
-
-# define variables
-study_metadata = VariableCollection(
-    independent_variables=[
-        Variable(name="x1", allowed_values=allowed_values, value_range=value_range)
-    ],
-    dependent_variables=[Variable(name="y", value_range=(-20, 20))],
-)
-
-
-# define experiment platform
-def get_synthetic_experiment_runner():
-    rng = np.random.default_rng(seed=180)
-
-    def runner(xs):
-        return ground_truth(xs) + rng.normal(0, 0.5, xs.shape)
-
-    return runner
-
-
-synthetic_experiment_runner = get_synthetic_experiment_runner()
-
-# Initialize the experimentalist
-random_experimentalist = Pipeline(
-    [
-        ("grid_pool", grid_pool),  # type: ignore
-        ("nearest_values_sampler", nearest_values_sampler),  # type: ignore
-    ],
-    {
-        "grid_pool": {"ivs": study_metadata.independent_variables},
-        "nearest_values_sampler": {
-            "allowed_values": np.linspace(
-                value_range[0], value_range[1], samples_per_cycle
-            ),
-            "n": samples_per_cycle,
-        },
-    },
-)
-
-# define theorist
-bms_theorist = BMSRegressor(epochs=100)
-
-# define seed cycle
-# we will use this cycle to collect initial data and initialize the BMS model
-seed_cycle = Cycle(
-    metadata=study_metadata,
-    theorist=bms_theorist,
-    experimentalist=random_experimentalist,
-    experiment_runner=synthetic_experiment_runner,
-)
-
-# run seed cycle
-seed_cycle.run(num_cycles=1)
-
-seed_model = seed_cycle.data.theories[0].model_
-seed_x = seed_cycle.data.conditions[0]
-seed_y = seed_cycle.data.observations[0][:, 1]
-
-
-# now we define the poppernet experimentalist which takes into account
-# the seed data and the seed model
-popper_experimentalist = Pipeline(
-    [
-        ("popper_pool", poppernet_pool),  # type: ignore
-        ("nearest_values_sampler", nearest_values_sampler),  # type: ignore
-    ],
-    {
-        "popper_pool": {
-            "metadata": study_metadata,
-            "model": seed_model,
-            "x_train": seed_x,
-            "y_train": seed_y,
-            "n": samples_per_cycle,
-            "plot": True,
-        },
-        "nearest_values_sampler": {
-            "allowed_values": allowed_values,
-            "n": samples_per_cycle,
-        },
-    },
-)
-
-# running a new cycle taking into account the seed data and model
-# TODO: need to find a way to incorporate the seed data into the cycle
-cycle = Cycle(
-    metadata=study_metadata,
-    theorist=bms_theorist,
-    experimentalist=popper_experimentalist,
-    experiment_runner=synthetic_experiment_runner,
-)
-cycle.run(num_cycles=1)
-
-# plot output of architecture search
-all_obs = np.row_stack(seed_cycle.data.observations)
-x_obs, y_obs = all_obs[:, 0], all_obs[:, 1]
-plt.scatter(x_obs, y_obs, s=10, label="seed data")
-
-all_obs = np.row_stack(cycle.data.observations)
-x_obs, y_obs = all_obs[:, 0], all_obs[:, 1]
-plt.scatter(x_obs, y_obs, s=10, label="collected data")
-
-x_pred = np.array(study_metadata.independent_variables[0].allowed_values).reshape(
-    ground_truth_resolution, 1
-)
-y_pred_seed = seed_cycle.data.theories[0].predict(x_pred)
-y_pred_final = cycle.data.theories[0].predict(x_pred)
-plt.plot(x_pred, y_pred_seed, color="blue", label="seed model")
-plt.plot(x_pred, y_pred_final, color="red", label="final model")
-plt.legend()
-plt.show()
diff --git a/example/sklearn/bms/weber_bms.ipynb b/example/sklearn/bms/weber_bms.ipynb
deleted file mode 100644
index 4bd85b941..000000000
--- a/example/sklearn/bms/weber_bms.ipynb
+++ /dev/null
@@ -1,815 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "id": "3ba2ff78",
-   "metadata": {},
-   "source": [
-    "Example file which shows some simple curve fitting using BMSRegressor and some other estimators."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 20,
-   "id": "41b221c2",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Import Packages\n",
-    "import pandas as pd\n",
-    "import numpy as np\n",
-    "from sklearn.linear_model import LinearRegression\n",
-    "from sklearn.model_selection import GridSearchCV\n",
-    "from sklearn.pipeline import make_pipeline\n",
-    "from sklearn.preprocessing import PolynomialFeatures, StandardScaler\n",
-    "from functools import partial\n",
-    "import matplotlib.pyplot as plt\n",
-    "from autora.skl.bms import BMSRegressor"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 21,
-   "id": "343e2f03",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def show_results_complete(\n",
-    "    data_: pd.DataFrame,\n",
-    "    estimator=None,\n",
-    "    show_results=True,\n",
-    "    projection=\"2d\",\n",
-    "    label=None,\n",
-    "):\n",
-    "    \"\"\"\n",
-    "    Function to plot input data (x_, y_) and the predictions of an estimator for the same x_.\n",
-    "    \"\"\"\n",
-    "    if projection == \"2d\":\n",
-    "        plt.figure()\n",
-    "        data_.plot.scatter(\n",
-    "            \"S1\", \"S2\", c=\"difference_detected\", cmap=\"viridis\", zorder=10\n",
-    "        )\n",
-    "    elif projection == \"3d\":\n",
-    "        fig = plt.figure()\n",
-    "        ax = fig.add_subplot(projection=\"3d\")\n",
-    "        ax.scatter(data_[\"S1\"], data[\"S2\"], data[\"difference_detected\"])\n",
-    "        if estimator is not None:\n",
-    "            xs, ys = np.mgrid[0:5:0.2, 0:5:0.2]  # type: ignore\n",
-    "            zs = estimator.predict(np.column_stack((xs.ravel(), ys.ravel())))\n",
-    "            ax.plot_surface(xs, ys, zs.reshape(xs.shape), alpha=0.5)\n",
-    "\n",
-    "    if label is not None:\n",
-    "        plt.title(label)\n",
-    "\n",
-    "    if show_results:\n",
-    "        plt.show()\n",
-    "\n",
-    "    return"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 22,
-   "id": "5bfd6747",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# load data\n",
-    "XLABS = [\n",
-    "    \"S1\",\n",
-    "    \"S2\",\n",
-    "]\n",
-    "data = pd.read_csv(\"./weber_data.csv\")\n",
-    "show_results = partial(show_results_complete, data_= data, projection=\"3d\")\n",
-    "show_results(label=\"input data\")\n",
-    "\n",
-    "X, y = data[XLABS], data[\"difference_detected\"]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 23,
-   "id": "89405909",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# %% Fit first using a super-simple linear regression\n",
-    "\n",
-    "first_order_linear_estimator = LinearRegression()\n",
-    "first_order_linear_estimator.fit(X, y)\n",
-    "\n",
-    "show_results(estimator=first_order_linear_estimator, label=\"1st order linear\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 24,
-   "id": "f67dbeeb",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# %% Fit using a 0-3 order polynomial, getting the best fit for the data.\n",
-    "polynomial_estimator = GridSearchCV(\n",
-    "    make_pipeline(PolynomialFeatures(), LinearRegression(fit_intercept=False)),\n",
-    "    param_grid=dict(polynomialfeatures__degree=range(4)),\n",
-    ")\n",
-    "polynomial_estimator.fit(X, y)\n",
-    "\n",
-    "show_results(estimator=polynomial_estimator, label=\"[0th-3rd]-order linear\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "3d870dbb",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "INFO:autora.skl.bms:BMS fitting started\n",
-      "INFO:autora.theorist.bms.utils:Finish iteration 0\n",
-      "INFO:autora.theorist.bms.utils:Finish iteration 1\n",
-      "INFO:autora.theorist.bms.utils:Finish iteration 2\n",
-      "INFO:autora.theorist.bms.utils:Finish iteration 3\n",
-      "INFO:autora.theorist.bms.utils:Finish iteration 4\n",
-      "INFO:autora.theorist.bms.utils:Finish iteration 5\n",
-      "INFO:autora.theorist.bms.utils:Finish iteration 6\n",
-      "INFO:autora.theorist.bms.utils:Finish iteration 7\n",
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-     ]
-    }
-   ],
-   "source": [
-    "# initialize model\n",
-    "# hyper parameters\n",
-    "\n",
-    "prior_par = {\n",
-    "    \"Nopi_/\": 5.912205942815285,\n",
-    "            \"Nopi_cosh\": 8.12720511103694,\n",
-    "            \"Nopi_-\": 3.350846072163632,\n",
-    "            \"Nopi_sin\": 5.965917796154835,\n",
-    "            \"Nopi_tan\": 8.127427922862411,\n",
-    "            \"Nopi_tanh\": 7.799259068142255,\n",
-    "            \"Nopi_**\": 6.4734429542245495,\n",
-    "            \"Nopi_pow2\": 3.3017352779079734,\n",
-    "            \"Nopi_pow3\": 5.9907496760026175,\n",
-    "            \"Nopi_exp\": 4.768665265735502,\n",
-    "            \"Nopi_log\": 4.745957377206544,\n",
-    "            \"Nopi_sqrt\": 4.760686909134266,\n",
-    "            \"Nopi_cos\": 5.452564657261127,\n",
-    "            \"Nopi_sinh\": 7.955723540761046,\n",
-    "            \"Nopi_abs\": 6.333544134938385,\n",
-    "            \"Nopi_+\": 5.808163661224514,\n",
-    "            \"Nopi_*\": 5.002213595420244,\n",
-    "            \"Nopi_fac\": 10.0,\n",
-    "            \"Nopi2_*\": 1.0,\n",
-    "            \"Nopi_sig\": 1.0,\n",
-    "            \"Nopi_relu\": 1.0,\n",
-    "}\n",
-    "\n",
-    "# temperatures\n",
-    "ts = [1.0] + [1.04**k for k in range(1, 20)]\n",
-    "\n",
-    "# epoch num\n",
-    "epochs = 1500\n",
-    "\n",
-    "# fit model\n",
-    "estimator = BMSRegressor(prior_par, ts, epochs)\n",
-    "estimator = estimator.fit(X, y)\n",
-    "\n",
-    "# model estimate\n",
-    "show_results(\n",
-    "    estimator=estimator, label=\"BMS Regressor\"\n",
-    ")\n",
-    "print(estimator.model_)\n",
-    "\n",
-    "# model prediction\n",
-    "test_x = X.head()\n",
-    "estimator.predict(test_x)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "375b5b94",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "estimator.present_results()\n"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.13"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/example/sklearn/bms/weber_bms_sklearn.py b/example/sklearn/bms/weber_bms_sklearn.py
deleted file mode 100644
index 8da2e155f..000000000
--- a/example/sklearn/bms/weber_bms_sklearn.py
+++ /dev/null
@@ -1,39 +0,0 @@
-import warnings
-
-import pandas as pd
-
-from autora.skl.bms import BMSRegressor
-from autora.theorist.bms import get_priors
-
-warnings.filterwarnings("ignore")
-
-
-# load data
-XLABS = [
-    "S1",
-    "S2",
-]
-
-raw_data = pd.read_csv("weber_data.csv")
-x, y = raw_data[XLABS], raw_data["difference_detected"]
-
-# initialize model
-# hyper parameters
-
-prior_par, _ = get_priors()
-
-# temperatures
-ts = [1.0] + [1.04**k for k in range(1, 20)]
-
-# epoch num
-epochs = 1500
-
-estimator = BMSRegressor(prior_par, ts, epochs)
-estimator = estimator.fit(x, y)
-
-print(estimator.model_)
-
-test_x = x.head()
-estimator.predict(test_x)
-
-estimator.present_results()
diff --git a/example/sklearn/bms/weber_data.csv b/example/sklearn/bms/weber_data.csv
deleted file mode 100644
index f9550c969..000000000
--- a/example/sklearn/bms/weber_data.csv
+++ /dev/null
@@ -1,211 +0,0 @@
-,S1,S2,difference_detected
-0,0.0,0.0,0.5
-1,0.0,0.2631578947368421,0.5654124021530151
-2,0.0,0.5263157894736842,0.6286234259605408
-3,0.0,0.7894736842105263,0.6877183318138123
-4,0.0,1.0526315789473684,0.7412799000740051
-5,0.0,1.3157894736842104,0.7884804010391235
-6,0.0,1.5789473684210529,0.8290553689002991
-7,0.0,1.8421052631578947,0.8631975054740906
-8,0.0,2.1052631578947367,0.8914136290550232
-9,0.0,2.3684210526315788,0.9143873453140259
-10,0.0,2.631578947368421,0.9328665137290955
-11,0.0,2.8947368421052633,0.9475856423377991
-12,0.0,3.1578947368421053,0.9592186808586121
-13,0.0,3.421052631578948,0.9683560729026794
-14,0.0,3.684210526315789,0.975498378276825
-15,0.0,3.947368421052632,0.9810601472854614
-16,0.0,4.2105263157894735,0.9853783845901489
-17,0.0,4.473684210526316,0.9887233972549438
-18,0.0,4.7368421052631575,0.9913098812103271
-19,0.0,5.0,0.9933071732521057
-20,0.2631578947368421,0.2631578947368421,0.43458759784698486
-21,0.2631578947368421,0.5263157894736842,0.5
-22,0.2631578947368421,0.7894736842105263,0.5654124021530151
-23,0.2631578947368421,1.0526315789473684,0.6286234259605408
-24,0.2631578947368421,1.3157894736842104,0.6877183318138123
-25,0.2631578947368421,1.5789473684210529,0.7412799000740051
-26,0.2631578947368421,1.8421052631578947,0.7884804010391235
-27,0.2631578947368421,2.1052631578947367,0.8290553689002991
-28,0.2631578947368421,2.3684210526315788,0.8631975054740906
-29,0.2631578947368421,2.631578947368421,0.8914136290550232
-30,0.2631578947368421,2.8947368421052633,0.9143873453140259
-31,0.2631578947368421,3.1578947368421053,0.9328665137290955
-32,0.2631578947368421,3.421052631578948,0.9475856423377991
-33,0.2631578947368421,3.684210526315789,0.9592186808586121
-34,0.2631578947368421,3.947368421052632,0.9683560729026794
-35,0.2631578947368421,4.2105263157894735,0.975498378276825
-36,0.2631578947368421,4.473684210526316,0.9810601472854614
-37,0.2631578947368421,4.7368421052631575,0.9853783845901489
-38,0.2631578947368421,5.0,0.9887233972549438
-39,0.5263157894736842,0.5263157894736842,0.37137657403945923
-40,0.5263157894736842,0.7894736842105263,0.43458759784698486
-41,0.5263157894736842,1.0526315789473684,0.5
-42,0.5263157894736842,1.3157894736842104,0.5654124021530151
-43,0.5263157894736842,1.5789473684210529,0.6286234259605408
-44,0.5263157894736842,1.8421052631578947,0.6877183318138123
-45,0.5263157894736842,2.1052631578947367,0.7412799000740051
-46,0.5263157894736842,2.3684210526315788,0.7884804010391235
-47,0.5263157894736842,2.631578947368421,0.8290553689002991
-48,0.5263157894736842,2.8947368421052633,0.8631975054740906
-49,0.5263157894736842,3.1578947368421053,0.8914136290550232
-50,0.5263157894736842,3.421052631578948,0.9143873453140259
-51,0.5263157894736842,3.684210526315789,0.9328665137290955
-52,0.5263157894736842,3.947368421052632,0.9475856423377991
-53,0.5263157894736842,4.2105263157894735,0.9592186808586121
-54,0.5263157894736842,4.473684210526316,0.9683560729026794
-55,0.5263157894736842,4.7368421052631575,0.975498378276825
-56,0.5263157894736842,5.0,0.9810601472854614
-57,0.7894736842105263,0.7894736842105263,0.31228166818618774
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diff --git a/example/sklearn/darts/__init__.py b/example/sklearn/darts/__init__.py
deleted file mode 100644
index e69de29bb..000000000
diff --git a/example/sklearn/darts/weber.ipynb b/example/sklearn/darts/weber.ipynb
deleted file mode 100644
index 8ded45059..000000000
--- a/example/sklearn/darts/weber.ipynb
+++ /dev/null
@@ -1,246 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "source": [
-    "Example file which shows some simple curve fitting using DARTSRegressor and some other estimators."
-   ],
-   "metadata": {
-    "pycharm": {
-     "name": "#%% md\n"
-    }
-   }
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "outputs": [],
-   "source": [
-    "from functools import partial\n",
-    "\n",
-    "import matplotlib.pyplot as plt\n",
-    "import numpy as np\n",
-    "import pandas as pd\n",
-    "from sklearn.linear_model import LinearRegression\n",
-    "from sklearn.model_selection import GridSearchCV\n",
-    "from sklearn.pipeline import make_pipeline\n",
-    "from sklearn.preprocessing import PolynomialFeatures\n",
-    "\n",
-    "from autora.skl.darts import DARTSRegressor, Val"
-   ],
-   "metadata": {
-    "pycharm": {
-     "name": "#%%\n",
-     "is_executing": true
-    }
-   }
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "pycharm": {
-     "name": "#%%\n"
-    }
-   },
-   "outputs": [],
-   "source": [
-    "# %% Define some helper functions\n",
-    "\n",
-    "def show_results_complete(\n",
-    "    data_: pd.DataFrame,\n",
-    "    estimator=None,\n",
-    "    show_results=True,\n",
-    "    projection=\"2d\",\n",
-    "    label=None,\n",
-    "):\n",
-    "    \"\"\"\n",
-    "    Function to plot input data (x_, y_) and the predictions of an estimator for the same x_.\n",
-    "    \"\"\"\n",
-    "    if projection == \"2d\":\n",
-    "        plt.figure()\n",
-    "        data_.plot.scatter(\n",
-    "            \"S1\", \"S2\", c=\"difference_detected\", cmap=\"viridis\", zorder=10\n",
-    "        )\n",
-    "    elif projection == \"3d\":\n",
-    "        fig = plt.figure()\n",
-    "        ax = fig.add_subplot(projection=\"3d\")\n",
-    "        ax.scatter(data_[\"S1\"], data[\"S2\"], data[\"difference_detected\"])\n",
-    "\n",
-    "        if estimator is not None:\n",
-    "            xs, ys = np.mgrid[0:5:0.2, 0:5:0.2]  # type: ignore\n",
-    "\n",
-    "            zs = estimator.predict(np.column_stack((xs.ravel(), ys.ravel())))\n",
-    "\n",
-    "            ax.plot_surface(xs, ys, zs.reshape(xs.shape), alpha=0.5)\n",
-    "\n",
-    "    if label is not None:\n",
-    "        plt.title(label)\n",
-    "\n",
-    "    if show_results:\n",
-    "        plt.show()\n",
-    "\n",
-    "    return\n",
-    "\n",
-    "\n",
-    "# %% Load the data\n",
-    "\n",
-    "\n",
-    "data = pd.read_csv(\"./weber_data.csv\")\n",
-    "show_results = partial(show_results_complete, data_=data, projection=\"3d\")\n",
-    "show_results(label=\"input data\")\n",
-    "\n",
-    "X = data[[\"S1\", \"S2\"]]\n",
-    "y = data[\"difference_detected\"]\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "pycharm": {
-     "name": "#%%\n"
-    }
-   },
-   "outputs": [],
-   "source": [
-    "\n",
-    "# %% Fit first using a super-simple linear regression\n",
-    "\n",
-    "first_order_linear_estimator = LinearRegression()\n",
-    "first_order_linear_estimator.fit(X, y)\n",
-    "\n",
-    "show_results(estimator=first_order_linear_estimator, label=\"1st order linear\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "pycharm": {
-     "name": "#%%\n"
-    }
-   },
-   "outputs": [],
-   "source": [
-    "\n",
-    "# %% Fit using a 0-3 order polynomial, getting the best fit for the data.\n",
-    "polynomial_estimator = GridSearchCV(\n",
-    "    make_pipeline(PolynomialFeatures(), LinearRegression(fit_intercept=False)),\n",
-    "    param_grid=dict(polynomialfeatures__degree=range(4)),\n",
-    ")\n",
-    "polynomial_estimator.fit(X, y)\n",
-    "\n",
-    "show_results(estimator=polynomial_estimator, label=\"[0th-3rd]-order linear\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "outputs": [],
-   "source": [
-    "darts_estimator_tuned = DARTSRegressor(\n",
-    "    batch_size=64,\n",
-    "    arch_updates_per_epoch=100,\n",
-    "    param_updates_per_epoch=100,\n",
-    "    max_epochs=30,\n",
-    "    output_type=\"probability\",\n",
-    "    num_graph_nodes=5,\n",
-    "    primitives=[\n",
-    "        \"none\",\n",
-    "        \"linear\",\n",
-    "        \"logistic\",\n",
-    "        ]\n",
-    ")\n",
-    "\n",
-    "darts_estimator_tuned.fit(X, y)\n",
-    "\n",
-    "show_results(estimator=darts_estimator_tuned, label=\"pre-tuned DARTSRegressor\")\n",
-    "darts_estimator_tuned.visualize_model()"
-   ],
-   "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
-   }
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "outputs": [],
-   "source": [
-    "darts_estimator_tuned.set_params(\n",
-    "    arch_updates_per_epoch=0,\n",
-    "    param_updates_per_epoch=1000,\n",
-    "    sampling_strategy=\"sample\",\n",
-    "    max_epochs=1\n",
-    ")\n",
-    "darts_estimator_tuned.fit(X, y)\n",
-    "show_results(estimator=darts_estimator_tuned, label=\"resampled DARTSRegressor\")\n",
-    "darts_estimator_tuned.visualize_model()\n"
-   ],
-   "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
-   }
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "outputs": [],
-   "source": [
-    "darts_estimator_tuned.set_params(\n",
-    "    arch_updates_per_epoch=0,\n",
-    "    param_updates_per_epoch=1000,\n",
-    "    sampling_strategy=\"max\",\n",
-    "    max_epochs=0\n",
-    ")\n",
-    "darts_estimator_tuned.fit(X, y)\n",
-    "show_results(estimator=darts_estimator_tuned, label=\"resampled DARTSRegressor\")\n",
-    "darts_estimator_tuned.visualize_model()\n"
-   ],
-   "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
-   }
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "outputs": [],
-   "source": [],
-   "metadata": {
-    "collapsed": false,
-    "pycharm": {
-     "name": "#%%\n"
-    }
-   }
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.13"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
\ No newline at end of file
diff --git a/example/sklearn/darts/weber.py b/example/sklearn/darts/weber.py
deleted file mode 100644
index 18dda574e..000000000
--- a/example/sklearn/darts/weber.py
+++ /dev/null
@@ -1,140 +0,0 @@
-"""
-Example file which shows some simple curve fitting using DARTSRegressor and some other estimators.
-"""
-
-import logging
-import pathlib
-from functools import partial
-
-import matplotlib.pyplot as plt
-import numpy as np
-import pandas as pd
-from sklearn.linear_model import LinearRegression
-from sklearn.model_selection import GridSearchCV
-from sklearn.neural_network import MLPRegressor
-from sklearn.pipeline import make_pipeline
-from sklearn.preprocessing import PolynomialFeatures, StandardScaler
-
-from autora.skl.darts import PRIMITIVES, DARTSRegressor
-
-logging.basicConfig(level=logging.INFO)
-
-# %% Define some helper functions
-
-
-def show_results_complete(
-    data_: pd.DataFrame,
-    estimator=None,
-    show_results=True,
-    projection="2d",
-    label=None,
-):
-    """
-    Function to plot input data (x_, y_) and the predictions of an estimator for the same x_.
-    """
-    if projection == "2d":
-        plt.figure()
-        data_.plot.scatter(
-            "S1", "S2", c="difference_detected", cmap="viridis", zorder=10
-        )
-    elif projection == "3d":
-        fig = plt.figure()
-        ax = fig.add_subplot(projection="3d")
-        ax.scatter(data_["S1"], data["S2"], data["difference_detected"])
-        if estimator is not None:
-            xs, ys = np.mgrid[0:5:0.2, 0:5:0.2]  # type: ignore
-            zs = estimator.predict(np.column_stack((xs.ravel(), ys.ravel())))
-            ax.plot_surface(xs, ys, zs.reshape(xs.shape), alpha=0.5)
-
-    if label is not None:
-        plt.title(label)
-
-    if show_results:
-        plt.show()
-
-    return
-
-
-# %% Load the data
-datafile_path = pathlib.Path(__file__).parent.joinpath("./weber_data.csv")
-data = pd.read_csv(datafile_path)
-show_results = partial(show_results_complete, data_=data, projection="3d")
-show_results(label="input data")
-X = data[["S1", "S2"]]
-y = data["difference_detected"]
-
-# %% Fit first using a super-simple linear regression
-first_order_linear_estimator = LinearRegression()
-first_order_linear_estimator.fit(X, y)
-show_results(estimator=first_order_linear_estimator, label="1st order linear")
-
-# %% Fit using a 0-3 order polynomial, getting the best fit for the data.
-polynomial_estimator = GridSearchCV(
-    make_pipeline(PolynomialFeatures(), LinearRegression(fit_intercept=False)),
-    param_grid=dict(polynomialfeatures__degree=range(4)),
-)
-polynomial_estimator.fit(X, y)
-show_results(estimator=polynomial_estimator, label="[0th-3rd]-order linear")
-
-# %% Fit using DARTS with parameters we know work
-darts_estimator_tuned = DARTSRegressor(
-    batch_size=64,
-    arch_updates_per_epoch=1,
-    param_updates_per_epoch=100,
-    max_epochs=500,
-    output_type="probability",
-    darts_type="original",
-    num_graph_nodes=2,
-    primitives=PRIMITIVES,
-)
-darts_estimator_tuned.fit(X, y)
-show_results(
-    estimator=darts_estimator_tuned, label="pre-tuned Original-DARTS Regressor"
-)
-darts_estimator_tuned.visualize_model().view()
-
-# %% Fit using DARTS with parameters we know should work
-darts_estimator_tuned = DARTSRegressor(
-    batch_size=64,
-    arch_updates_per_epoch=1,
-    param_updates_per_epoch=100,
-    max_epochs=500,
-    output_type="probability",
-    darts_type="fair",
-    num_graph_nodes=2,
-    primitives=["add", "subtract", "none"],
-)
-darts_estimator_tuned.fit(X, y)
-show_results(estimator=darts_estimator_tuned, label="pre-tuned Fair-DARTS Regressor")
-darts_estimator_tuned.visualize_model().view()
-
-# %%
-darts_estimator_tuned.resample_model(sampling_strategy="sample")
-show_results(estimator=darts_estimator_tuned, label="resampled DARTSRegressor")
-darts_estimator_tuned.visualize_model().view()
-
-# %% Fit using DARTS with a Cross-Validation-Search
-darts_estimator = GridSearchCV(
-    make_pipeline(
-        StandardScaler(),
-        DARTSRegressor(
-            batch_size=5,
-            arch_updates_per_epoch=1,
-            param_updates_per_epoch=500,
-            max_epochs=10,
-            output_type="probability",
-        ),
-    ),
-    param_grid=dict(dartsregressor__num_graph_nodes=range(1, 5)),
-    scoring="neg_mean_squared_error",
-    n_jobs=5,
-)
-darts_estimator.fit(X, y)
-print(darts_estimator.best_params_)
-show_results(estimator=darts_estimator.best_estimator_, label="DARTSRegressor")
-darts_estimator.best_estimator_[1].visualize_model().view()
-
-# %% Fit using Multilayer-Perceptron
-mlp_estimator = MLPRegressor()
-mlp_estimator.fit(X, y)
-show_results(estimator=mlp_estimator, label="Multilayer-Perceptron")
diff --git a/example/sklearn/darts/weber_data.csv b/example/sklearn/darts/weber_data.csv
deleted file mode 100644
index fc1b1243c..000000000
--- a/example/sklearn/darts/weber_data.csv
+++ /dev/null
@@ -1,211 +0,0 @@
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-196,3.947368421052632,4.2105263157894735,0.02450159564614296
-197,3.947368421052632,4.473684210526316,0.03164396435022354
-198,3.947368421052632,4.7368421052631575,0.04078133404254913
-199,3.947368421052632,5.0,0.052414361387491226
-200,4.2105263157894735,4.2105263157894735,0.01462159026414156
-201,4.2105263157894735,4.473684210526316,0.0189397931098938
-202,4.2105263157894735,4.7368421052631575,0.024501584470272064
-203,4.2105263157894735,5.0,0.03164394944906235
-204,4.473684210526316,4.473684210526316,0.011276605539023876
-205,4.473684210526316,4.7368421052631575,0.01462159026414156
-206,4.473684210526316,5.0,0.0189397931098938
-207,4.7368421052631575,4.7368421052631575,0.008690104819834232
-208,4.7368421052631575,5.0,0.011276605539023876
-209,5.0,5.0,0.006692850962281227
diff --git a/mkdocs.yml b/mkdocs.yml
index 4fd0c54cb..a41d901ec 100644
--- a/mkdocs.yml
+++ b/mkdocs.yml
@@ -1,9 +1,14 @@
 # yaml-language-server: $schema=https://squidfunk.github.io/mkdocs-material/schema.json
 
 site_name: Autonomous Empirical Research
+repo_url: 'https://github.com/autoresearch/autora'
+edit_uri: 'blob/main/docs/'
 
 theme:
   name: material
+  custom_dir: mkdocs/overrides
+  features:
+    - content.action.edit
 
 watch:
   - autora/
@@ -12,7 +17,7 @@ plugins:
   - search
   - gen-files:
       scripts:
-        - docs/gen_ref_pages.py
+        - mkdocs/_gen_ref_pages.py
   - literate-nav:
         nav_file: SUMMARY.md
   - section-index
@@ -21,6 +26,10 @@ plugins:
         python:
           import:
             - https://scikit-learn.org/stable/objects.inv
+  - mkdocs-jupyter:
+      include_source: true
+      execute: false
+      ignore_h1_titles: True
 
 
 markdown_extensions:
@@ -35,27 +44,42 @@ extra_javascript:
 
 nav:
 - Introduction: 'index.md'
+- Experimentalists:
+  - Overview: 'experimentalists/overview.md'
+  - Pipeline: 'pipeline/Experimentalist Pipeline Examples.ipynb'
+- Synthetic Experiments:
+  - Inventory: 'synthetic/inventory.ipynb'
 - Theorists:
   - Overview: 'theorist/overview.md'
   - DARTS:
-      - Introduction: 'theorist/darts/introduction.md'
-      - How it works: 'theorist/darts/how_it_works.md'
-      - Meta parameters: 'theorist/darts/meta_parameters.md'
-      - Search space: 'theorist/darts/search_space.md'
-      - Example: 'theorist/darts/example.md'
+    - Introduction: 'theorist/darts/introduction.md'
+    - How it works: 'theorist/darts/how_it_works.md'
+    - Meta parameters: 'theorist/darts/meta_parameters.md'
+    - Search space: 'theorist/darts/search_space.md'
+    - Examples:
+      - Basic Usage: 'theorist/darts/example.ipynb'
+      - Weber-Fechner Law: 'theorist/darts/weber.ipynb'
   - BMS:
-      - Introduction: 'theorist/bms/introduction.md'
-      - How it works: 'theorist/bms/how_it_works.md'
-      - Meta parameters: 'theorist/bms/meta_parameters.md'
-      - Search space: 'theorist/bms/search_space.md'
-      - Example: 'theorist/bms/example.md'
-   - BSR:
-      - Introduction: 'theorist/bsr/introduction.md'
-      - How it works: 'theorist/bsr/how_it_works.md'
-      - Meta parameters: 'theorist/bsr/meta_parameters.md'
-      - Search space: 'theorist/bsr/search_space.md'
-      - Example: 'theorist/bsr/example.md'
-- Experimentalists:
-    - Overview: 'experimentalists/overview.md'
-- Code Reference: reference/  #
-
+    - Introduction: 'theorist/bms/introduction.md'
+    - How it works: 'theorist/bms/how_it_works.md'
+    - Meta parameters: 'theorist/bms/meta_parameters.md'
+    - Search space: 'theorist/bms/search_space.ipynb'
+    - Examples:
+      - Basic Usage: 'theorist/bms/example.ipynb'
+      - Weber-Fechner Law: 'theorist/bms/weber.ipynb'
+  - BSR: 
+    - Introduction: 'theorist/bsr/introduction.md'
+    - How it works: 'theorist/bsr/how_it_works.md'
+    - Meta parameters: 'theorist/bsr/meta_parameters.md'
+    - Search space: 'theorist/bsr/search_space.md'
+    - Example: 'theorist/bsr/bsr.ipynb'
+- Cycle:
+  - Scoring:
+    - Logistic Regression: 'cycle/cycle_scoring.ipynb'
+    - BMS: 'cycle/cycle_scoring_bms.ipynb'
+  - Plotting: 'cycle/cycle_results_plots.ipynb'
+  - Examples:
+    - DARTS & BMS: 'cycle/simple_cycle_bms_darts.ipynb'
+    - BMS & Poppernet: 'cycle/simple_cycle_bms_model_poppernet.ipynb'
+    - Uncertainty Experimentalist: 'cycle/simple_cycle_uncertainty_experimentalist.ipynb'
+- Code Reference: reference/autora/
diff --git a/docs/gen_ref_pages.py b/mkdocs/_gen_ref_pages.py
similarity index 100%
rename from docs/gen_ref_pages.py
rename to mkdocs/_gen_ref_pages.py
diff --git a/mkdocs/overrides/main.html b/mkdocs/overrides/main.html
new file mode 100644
index 000000000..611f41563
--- /dev/null
+++ b/mkdocs/overrides/main.html
@@ -0,0 +1,19 @@
+{% extends "base.html" %}
+
+{% block content %}
+{% if page.nb_url %}
+    <a href="{{ page.nb_url }}" title="Download Notebook" class="md-content__button md-icon">
+        {% include ".icons/material/download.svg" %}
+    </a>
+{% endif %}
+{% if page.file.src_uri %}
+    {% if page.file.src_uri.endswith('.ipynb') %}
+        <a href="https://colab.research.google.com/github/AutoResearch/autora/blob/main/docs/{{ page.file.src_uri }}"
+        title="Open Notebook in Google Colab" class="md-content__button md-icon">
+            {% include ".icons/material/play-circle-outline.svg" %}
+        </a>
+    {% endif %}
+{% endif %}
+
+{{ super() }}
+{% endblock content %}
diff --git a/poetry.lock b/poetry.lock
index 71305236f..7a9ee00a7 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.4.1 and should not be changed by hand.
 
 [[package]]
 name = "anyio"
@@ -157,14 +157,14 @@ files = [
 
 [[package]]
 name = "beautifulsoup4"
-version = "4.12.0"
+version = "4.12.1"
 description = "Screen-scraping library"
 category = "dev"
 optional = false
 python-versions = ">=3.6.0"
 files = [
-    {file = "beautifulsoup4-4.12.0-py3-none-any.whl", hash = "sha256:2130a5ad7f513200fae61a17abb5e338ca980fa28c439c0571014bc0217e9591"},
-    {file = "beautifulsoup4-4.12.0.tar.gz", hash = "sha256:c5fceeaec29d09c84970e47c65f2f0efe57872f7cff494c9691a26ec0ff13234"},
+    {file = "beautifulsoup4-4.12.1-py3-none-any.whl", hash = "sha256:e44795bb4f156d94abb5fbc56efff871c1045bfef72e9efe77558db9f9616ac3"},
+    {file = "beautifulsoup4-4.12.1.tar.gz", hash = "sha256:c7bdbfb20a0dbe09518b96a809d93351b2e2bcb8046c0809466fa6632a10c257"},
 ]
 
 [package.dependencies]
@@ -686,14 +686,14 @@ pyflakes = ">=3.0.0,<3.1.0"
 
 [[package]]
 name = "fonttools"
-version = "4.39.2"
+version = "4.39.3"
 description = "Tools to manipulate font files"
 category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "fonttools-4.39.2-py3-none-any.whl", hash = "sha256:85245aa2fd4cf502a643c9a9a2b5a393703e150a6eaacc3e0e84bb448053f061"},
-    {file = "fonttools-4.39.2.zip", hash = "sha256:e2d9f10337c9e3b17f9bce17a60a16a885a7d23b59b7f45ce07ea643e5580439"},
+    {file = "fonttools-4.39.3-py3-none-any.whl", hash = "sha256:64c0c05c337f826183637570ac5ab49ee220eec66cf50248e8df527edfa95aeb"},
+    {file = "fonttools-4.39.3.zip", hash = "sha256:9234b9f57b74e31b192c3fc32ef1a40750a8fbc1cd9837a7b7bfc4ca4a5c51d7"},
 ]
 
 [package.extras]
@@ -759,14 +759,14 @@ test = ["coverage", "mock (>=4)", "pytest (>=7)", "pytest-cov", "pytest-mock (>=
 
 [[package]]
 name = "griffe"
-version = "0.25.5"
+version = "0.26.0"
 description = "Signatures for entire Python programs. Extract the structure, the frame, the skeleton of your project, to generate API documentation or find breaking changes in your API."
 category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "griffe-0.25.5-py3-none-any.whl", hash = "sha256:1fb9edff48e66d4873014a2ebf21aca5f271d0006a4c937826e3cf592ffb3706"},
-    {file = "griffe-0.25.5.tar.gz", hash = "sha256:11ea3403ef0560a1cbcf7f302eb5d21cf4c1d8ed3f8a16a75aa9f6f458caf3f1"},
+    {file = "griffe-0.26.0-py3-none-any.whl", hash = "sha256:38f3f6bbe834501cc199a07b7b7e0e2550aaf19a9d1ee27acf879027e47c9b9e"},
+    {file = "griffe-0.26.0.tar.gz", hash = "sha256:08675ffe8c17139e7769e950dd21f8e98a2e76205cbbd2911d5dec26d2cbf1be"},
 ]
 
 [package.dependencies]
@@ -921,14 +921,14 @@ test = ["flaky", "ipyparallel", "pre-commit", "pytest (>=7.0)", "pytest-asyncio"
 
 [[package]]
 name = "ipython"
-version = "8.11.0"
+version = "8.12.0"
 description = "IPython: Productive Interactive Computing"
 category = "dev"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "ipython-8.11.0-py3-none-any.whl", hash = "sha256:5b54478e459155a326bf5f42ee4f29df76258c0279c36f21d71ddb560f88b156"},
-    {file = "ipython-8.11.0.tar.gz", hash = "sha256:735cede4099dbc903ee540307b9171fbfef4aa75cfcacc5a273b2cda2f02be04"},
+    {file = "ipython-8.12.0-py3-none-any.whl", hash = "sha256:1c183bf61b148b00bcebfa5d9b39312733ae97f6dad90d7e9b4d86c8647f498c"},
+    {file = "ipython-8.12.0.tar.gz", hash = "sha256:a950236df04ad75b5bc7f816f9af3d74dc118fd42f2ff7e80e8e60ca1f182e2d"},
 ]
 
 [package.dependencies]
@@ -944,6 +944,7 @@ prompt-toolkit = ">=3.0.30,<3.0.37 || >3.0.37,<3.1.0"
 pygments = ">=2.4.0"
 stack-data = "*"
 traitlets = ">=5"
+typing-extensions = {version = "*", markers = "python_version < \"3.10\""}
 
 [package.extras]
 all = ["black", "curio", "docrepr", "ipykernel", "ipyparallel", "ipywidgets", "matplotlib", "matplotlib (!=3.2.0)", "nbconvert", "nbformat", "notebook", "numpy (>=1.21)", "pandas", "pytest (<7)", "pytest (<7.1)", "pytest-asyncio", "qtconsole", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "stack-data", "testpath", "trio", "typing-extensions"]
@@ -1295,6 +1296,29 @@ files = [
     {file = "jupyterlab_widgets-3.0.7.tar.gz", hash = "sha256:c3a50ed5bf528a0c7a869096503af54702f86dda1db469aee1c92dc0c01b43ca"},
 ]
 
+[[package]]
+name = "jupytext"
+version = "1.14.5"
+description = "Jupyter notebooks as Markdown documents, Julia, Python or R scripts"
+category = "dev"
+optional = false
+python-versions = "~=3.6"
+files = [
+    {file = "jupytext-1.14.5-py3-none-any.whl", hash = "sha256:a5dbe60d0ea158bbf82c2bce74aba8d0c220ad7edcda09e017c5eba229b34dc8"},
+    {file = "jupytext-1.14.5.tar.gz", hash = "sha256:976e66be8056459a2067e0ec3ff68cc31e00c31895faf9eb893022d319e8f5b4"},
+]
+
+[package.dependencies]
+markdown-it-py = ">=1.0.0,<3.0.0"
+mdit-py-plugins = "*"
+nbformat = "*"
+pyyaml = "*"
+toml = "*"
+
+[package.extras]
+rst2md = ["sphinx-gallery (>=0.7.0,<0.8.0)"]
+toml = ["toml"]
+
 [[package]]
 name = "kiwisolver"
 version = "1.4.4"
@@ -1402,6 +1426,31 @@ importlib-metadata = {version = ">=4.4", markers = "python_version < \"3.10\""}
 [package.extras]
 testing = ["coverage", "pyyaml"]
 
+[[package]]
+name = "markdown-it-py"
+version = "2.2.0"
+description = "Python port of markdown-it. Markdown parsing, done right!"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "markdown-it-py-2.2.0.tar.gz", hash = "sha256:7c9a5e412688bc771c67432cbfebcdd686c93ce6484913dccf06cb5a0bea35a1"},
+    {file = "markdown_it_py-2.2.0-py3-none-any.whl", hash = "sha256:5a35f8d1870171d9acc47b99612dc146129b631baf04970128b568f190d0cc30"},
+]
+
+[package.dependencies]
+mdurl = ">=0.1,<1.0"
+
+[package.extras]
+benchmarking = ["psutil", "pytest", "pytest-benchmark"]
+code-style = ["pre-commit (>=3.0,<4.0)"]
+compare = ["commonmark (>=0.9,<1.0)", "markdown (>=3.4,<4.0)", "mistletoe (>=1.0,<2.0)", "mistune (>=2.0,<3.0)", "panflute (>=2.3,<3.0)"]
+linkify = ["linkify-it-py (>=1,<3)"]
+plugins = ["mdit-py-plugins"]
+profiling = ["gprof2dot"]
+rtd = ["attrs", "myst-parser", "pyyaml", "sphinx", "sphinx-copybutton", "sphinx-design", "sphinx_book_theme"]
+testing = ["coverage", "pytest", "pytest-cov", "pytest-regressions"]
+
 [[package]]
 name = "markupsafe"
 version = "2.1.2"
@@ -1552,6 +1601,38 @@ files = [
     {file = "mccabe-0.7.0.tar.gz", hash = "sha256:348e0240c33b60bbdf4e523192ef919f28cb2c3d7d5c7794f74009290f236325"},
 ]
 
+[[package]]
+name = "mdit-py-plugins"
+version = "0.3.5"
+description = "Collection of plugins for markdown-it-py"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "mdit-py-plugins-0.3.5.tar.gz", hash = "sha256:eee0adc7195e5827e17e02d2a258a2ba159944a0748f59c5099a4a27f78fcf6a"},
+    {file = "mdit_py_plugins-0.3.5-py3-none-any.whl", hash = "sha256:ca9a0714ea59a24b2b044a1831f48d817dd0c817e84339f20e7889f392d77c4e"},
+]
+
+[package.dependencies]
+markdown-it-py = ">=1.0.0,<3.0.0"
+
+[package.extras]
+code-style = ["pre-commit"]
+rtd = ["attrs", "myst-parser (>=0.16.1,<0.17.0)", "sphinx-book-theme (>=0.1.0,<0.2.0)"]
+testing = ["coverage", "pytest", "pytest-cov", "pytest-regressions"]
+
+[[package]]
+name = "mdurl"
+version = "0.1.2"
+description = "Markdown URL utilities"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "mdurl-0.1.2-py3-none-any.whl", hash = "sha256:84008a41e51615a49fc9966191ff91509e3c40b939176e643fd50a5c2196b8f8"},
+    {file = "mdurl-0.1.2.tar.gz", hash = "sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba"},
+]
+
 [[package]]
 name = "mergedeep"
 version = "1.3.4"
@@ -1636,6 +1717,28 @@ files = [
 [package.dependencies]
 mkdocs = ">=1.0.3,<2.0.0"
 
+[[package]]
+name = "mkdocs-jupyter"
+version = "0.24.1"
+description = "Use Jupyter in mkdocs websites"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "mkdocs_jupyter-0.24.1-py3-none-any.whl", hash = "sha256:759833c7d1528ae2d6337342786be7bc1e2235b0b98e9326427d4cf8d4eebee0"},
+    {file = "mkdocs_jupyter-0.24.1.tar.gz", hash = "sha256:9677037fb7e931268f3df7599fc0828c261247df3d1575bced320ba8b7d1d46d"},
+]
+
+[package.dependencies]
+jupytext = ">1.13.8,<2"
+mkdocs = ">=1.4.0,<2"
+mkdocs-material = ">9.0.0"
+nbconvert = ">=7.2.9,<8"
+pygments = ">2.12.0"
+
+[package.extras]
+test = ["pytest", "pytest-cov"]
+
 [[package]]
 name = "mkdocs-literate-nav"
 version = "0.6.0"
@@ -1703,14 +1806,14 @@ mkdocs = ">=1.0.3"
 
 [[package]]
 name = "mkdocstrings"
-version = "0.20.0"
+version = "0.21.0"
 description = "Automatic documentation from sources, for MkDocs."
 category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "mkdocstrings-0.20.0-py3-none-any.whl", hash = "sha256:f17fc2c4f760ec302b069075ef9e31045aa6372ca91d2f35ded3adba8e25a472"},
-    {file = "mkdocstrings-0.20.0.tar.gz", hash = "sha256:c757f4f646d4f939491d6bc9256bfe33e36c5f8026392f49eaa351d241c838e5"},
+    {file = "mkdocstrings-0.21.0-py3-none-any.whl", hash = "sha256:05c52573366f0a32536f7bf0258f2a8ad180836058bb024b252b8a61a25452b3"},
+    {file = "mkdocstrings-0.21.0.tar.gz", hash = "sha256:df7399cec11bdc12ece9a370a6c37bac70ea0a07f479c051d0c82b07a38a3220"},
 ]
 
 [package.dependencies]
@@ -1762,14 +1865,14 @@ tests = ["pytest (>=4.6)"]
 
 [[package]]
 name = "nbclassic"
-version = "0.5.3"
+version = "0.5.5"
 description = "Jupyter Notebook as a Jupyter Server extension."
 category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "nbclassic-0.5.3-py3-none-any.whl", hash = "sha256:e849277872d9ffd8fe4b39a8038d01ba82d6a1def9ce11b1b3c26c9546ed5131"},
-    {file = "nbclassic-0.5.3.tar.gz", hash = "sha256:889772a7ba524eb781d2901f396540bcad41151e1f7e043f12ebc14a6540d342"},
+    {file = "nbclassic-0.5.5-py3-none-any.whl", hash = "sha256:47791b04dbcb89bf7fde910a3d848fd4793a4248a8936202453631a87da37d51"},
+    {file = "nbclassic-0.5.5.tar.gz", hash = "sha256:d2c91adc7909b0270c73e3e253d3687a6704b4f0a94bc156a37c85eba09f4d37"},
 ]
 
 [package.dependencies]
@@ -1798,14 +1901,14 @@ test = ["coverage", "nbval", "pytest", "pytest-cov", "pytest-jupyter", "pytest-p
 
 [[package]]
 name = "nbclient"
-version = "0.7.2"
+version = "0.7.3"
 description = "A client library for executing notebooks. Formerly nbconvert's ExecutePreprocessor."
 category = "dev"
 optional = false
 python-versions = ">=3.7.0"
 files = [
-    {file = "nbclient-0.7.2-py3-none-any.whl", hash = "sha256:d97ac6257de2794f5397609df754fcbca1a603e94e924eb9b99787c031ae2e7c"},
-    {file = "nbclient-0.7.2.tar.gz", hash = "sha256:884a3f4a8c4fc24bb9302f263e0af47d97f0d01fe11ba714171b320c8ac09547"},
+    {file = "nbclient-0.7.3-py3-none-any.whl", hash = "sha256:8fa96f7e36693d5e83408f5e840f113c14a45c279befe609904dbe05dad646d1"},
+    {file = "nbclient-0.7.3.tar.gz", hash = "sha256:26e41c6dca4d76701988bc34f64e1bfc2413ae6d368f13d7b5ac407efb08c755"},
 ]
 
 [package.dependencies]
@@ -1816,19 +1919,19 @@ traitlets = ">=5.3"
 
 [package.extras]
 dev = ["pre-commit"]
-docs = ["autodoc-traits", "mock", "moto", "myst-parser", "nbclient[test]", "sphinx (>=1.7)", "sphinx-book-theme"]
-test = ["ipykernel", "ipython", "ipywidgets", "nbconvert (>=7.0.0)", "pytest (>=7.0)", "pytest-asyncio", "pytest-cov (>=4.0)", "testpath", "xmltodict"]
+docs = ["autodoc-traits", "mock", "moto", "myst-parser", "nbclient[test]", "sphinx (>=1.7)", "sphinx-book-theme", "sphinxcontrib-spelling"]
+test = ["flaky", "ipykernel", "ipython", "ipywidgets", "nbconvert (>=7.0.0)", "pytest (>=7.0)", "pytest-asyncio", "pytest-cov (>=4.0)", "testpath", "xmltodict"]
 
 [[package]]
 name = "nbconvert"
-version = "7.2.10"
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 tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout"]
 
 [[package]]
@@ -2457,14 +2549,14 @@ testing = ["pytest", "pytest-benchmark"]
 
 [[package]]
 name = "pre-commit"
-version = "3.2.1"
+version = "3.2.2"
 description = "A framework for managing and maintaining multi-language pre-commit hooks."
 category = "dev"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -2730,14 +2822,14 @@ files = [
 
 [[package]]
 name = "pytz"
-version = "2023.2"
+version = "2023.3"
 description = "World timezone definitions, modern and historical"
 category = "main"
 optional = false
 python-versions = "*"
 files = [
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 ]
 
 [[package]]
@@ -2937,14 +3029,14 @@ cffi = {version = "*", markers = "implementation_name == \"pypy\""}
 
 [[package]]
 name = "qtconsole"
-version = "5.4.1"
+version = "5.4.2"
 description = "Jupyter Qt console"
 category = "dev"
 optional = false
 python-versions = ">= 3.7"
 files = [
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 ]
 
 [package.dependencies]
@@ -2964,14 +3056,14 @@ test = ["flaky", "pytest", "pytest-qt"]
 
 [[package]]
 name = "qtpy"
-version = "2.3.0"
+version = "2.3.1"
 description = "Provides an abstraction layer on top of the various Qt bindings (PyQt5/6 and PySide2/6)."
 category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.dependencies]
@@ -3222,14 +3314,14 @@ win32 = ["pywin32"]
 
 [[package]]
 name = "setuptools"
-version = "67.6.0"
+version = "67.6.1"
 description = "Easily download, build, install, upgrade, and uninstall Python packages"
 category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.extras]
@@ -3371,6 +3463,18 @@ webencodings = ">=0.4"
 doc = ["sphinx", "sphinx_rtd_theme"]
 test = ["flake8", "isort", "pytest"]
 
+[[package]]
+name = "toml"
+version = "0.10.2"
+description = "Python Library for Tom's Obvious, Minimal Language"
+category = "dev"
+optional = false
+python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
+files = [
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+]
+
 [[package]]
 name = "tomli"
 version = "2.0.1"
@@ -3758,4 +3862,4 @@ tinkerforge = ["tinkerforge"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.8.10,<3.11"
-content-hash = "cd15a9522077c181db8a206c2d934a3b21d4a4dd70299fb5c0d8ac23ebf81d55"
+content-hash = "b7321e5061e9b302290ca59115fd79daf9f86e2db7595b565b8d4929916cd635"
diff --git a/pyproject.toml b/pyproject.toml
index 39c8df04c..c158f6c70 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -47,6 +47,7 @@ mkdocs-gen-files = ">=0.3.4,<0.5.0"
 mkdocs-literate-nav = ">=0.4.1,<0.7.0"
 mkdocs-section-index = "^0.3.4"
 mkdocstrings-python = ">=0.7.1,<0.10.0"
+mkdocs-jupyter = "^0.24.1"
 
 [build-system]
 requires = ["poetry-core>=1.0.0"]