Tested move strategy exercises

ops_intro_usage/move_strategy_example.ipynb

@@ -352,14 +352,17 @@
    "outputs": [],
    "source": [
     "scheme = paths.DefaultScheme(network)\n",
-    "# your modifications"
+    "ensemble_0 = network.transitions[(stateA, stateB)].ensembles[0]\n",
+    "ensemble_2 = network.transitions[(stateA, stateB)].ensembles[2]\n",
+    "\n",
+    "# your modifications below this line"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
    "metadata": {
-    "collapsed": true
+    "collapsed": false
    },
    "outputs": [],
    "source": [
@@ -372,7 +375,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "**Exercise 3:** Create a scheme from scratch (specific to this network) that puts each shooting move in its own mover group, instead of having all of them in the `'shooting'` group. See how this affects the frequency of choosing each shooting move. (Note: we can customize this frequency, but that's beyond the scope of this workshop.)"
+    "**Exercise 3:** Create a scheme from scratch (specific to this network) that puts each shooting move in its own mover group, instead of having all of them in the `'shooting'` group. Also include replica exchange, path reversal, and minus moves, as in the default strategy."
    ]
   },
   {
@@ -384,14 +387,18 @@
    "outputs": [],
    "source": [
     "scheme = paths.MoveScheme(network)\n",
-    "# your modifications"
+    "ensemble_0 = network.transitions[(stateA, stateB)].ensembles[0]\n",
+    "ensemble_1 = network.transitions[(stateA, stateB)].ensembles[1]\n",
+    "ensemble_2 = network.transitions[(stateA, stateB)].ensembles[2]\n",
+    "\n",
+    "# your modifications below this line"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
    "metadata": {
-    "collapsed": true
+    "collapsed": false
    },
    "outputs": [],
    "source": [
@@ -400,17 +407,6 @@
     "SVG(move_vis.svg())"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "# check the frequency of the moves"
-   ]
-  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -426,7 +422,7 @@
    },
    "outputs": [],
    "source": [
-    "# build movers from scratch"
+    "# build movers from scratch in this cell"
    ]
   },
   {
@@ -445,19 +441,19 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {
-    "collapsed": true
+    "collapsed": false
    },
    "outputs": [],
    "source": [
     "# see what happens if you try to add a strategy to this:\n",
-    "scheme.append(strategies.OrganizeByMoveGroupStrategy())"
+    "scheme.append(strategies.NearestNeighborRepExStrategy())"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
    "metadata": {
-    "collapsed": true
+    "collapsed": false
    },
    "outputs": [],
    "source": [
@@ -465,6 +461,15 @@
     "move_vis = paths.visualize.MoveTreeBuilder.from_scheme(scheme, hidden_ensembles=False)\n",
     "SVG(move_vis.svg())"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {