Add tutorial notebook 10 exercise

src/examples/tutorial/ascent_intro/notebooks/10_ascent_extra_examples.ipynb

@@ -371,7 +371,7 @@
    "metadata": {},
    "source": [
     "## Extra Example 3:\n",
-    "### Apply and render a histrogram-based sampling filter"
+    "### Apply and render a histogram-based sampling filter"
    ]
   },
   {
@@ -493,7 +493,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Extra Example 3:\n",
+    "## Extra Example 4:\n",
     "### Custom render background and foreground colors"
    ]
   },
@@ -600,7 +600,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Extra Example 4:\n",
+    "## Extra Example 5:\n",
     "### Trigger with no trigger actions file"
    ]
   },
@@ -705,12 +705,40 @@
     "a.close()"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Exercise\n",
+    "\n",
+    "**First**, copy the code from notebook 8 and paste below. Re-run this code to refresh your memory of the output.\n",
+    "\n",
+    "**Second** refactor this code so that you get the same output as notebook 8 but *without* using the trigger files \"cycle_trigger_actions.yaml\" or \"entropy_trigger_actions.yaml\"."
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Exercise solution\n",
+    "Run the cell below once to see solutions and twice to run them."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%load solutions/exercise10.py"
+   ]
   }
  ],
  "metadata": {

src/examples/tutorial/ascent_intro/notebooks/solutions/exercise10.py

@@ -0,0 +1,111 @@
+"""
+# Exercise 10 prompts:
+
+First, copy the code from notebook 8 and paste below. Re-run this code to refresh your memory of the output.
+
+Second refactor this code so that you get the same output as notebook 8 but without using the trigger files "cycle_trigger_actions.yaml" or "entropy_trigger_actions.yaml".
+
+"""
+# cleanup any old results
+!./cleanup.sh
+
+# ascent + conduit imports
+import conduit
+import conduit.blueprint
+import ascent
+
+import numpy as np
+
+# helpers we use to create tutorial data
+from ascent_tutorial_jupyter_utils import img_display_width
+from ascent_tutorial_jupyter_utils import tutorial_gyre_example
+
+import matplotlib.pyplot as plt
+
+
+# Use triggers to render when conditions occur
+a = ascent.Ascent()
+a.open()
+
+# setup actions
+actions = conduit.Node()
+
+# declare a question to ask 
+add_queries = actions.append()
+add_queries["action"] = "add_queries"
+
+# add our entropy query (q1)
+queries = add_queries["queries"] 
+queries["q1/params/expression"] = "entropy(histogram(field('gyre'), num_bins=128))"
+queries["q1/params/name"] = "entropy"
+
+# declare triggers 
+add_triggers = actions.append()
+add_triggers["action"] = "add_triggers"
+triggers = add_triggers["triggers"] 
+
+# add a simple trigger (t1_ that fires at cycle 500
+triggers["t1/params/condition"] = "cycle() == 500"
+# triggers["t1/params/actions_file"] = "cycle_trigger_actions.yaml" # replace this file:
+trigger_actions = triggers["t1/params/actions"].append()
+# plot when trigger fires
+trigger_actions["action"] = "add_scenes"
+scenes = trigger_actions["scenes"]
+scenes["s1/plots/p1/type"] = "pseudocolor"
+scenes["s1/plots/p1/field"] = "gyre"
+# set the output file name (ascent will add ".png")
+scenes["s1/image_name"] = "cycle_trigger_out_"
+
+# add trigger (t2) that fires when the change in entroy exceeds 0.5
+
+# the history function allows you to access query results of previous
+# cycles. relative_index indicates how far back in history to look.
+
+# Looking at the plot of gyre entropy in the previous notebook, we see a jump
+# in entropy at cycle 200, so we expect the trigger to fire at cycle 200
+triggers["t2/params/condition"] = "entropy - history(entropy, relative_index = 1) > 0.5"
+# triggers["t2/params/actions_file"] = "entropy_trigger_actions.yaml" # replace with the following:
+trigger2_actions = triggers["t2/params/actions"].append()
+trigger2_actions["action"] = "add_scenes"
+scenes2 = trigger2_actions["scenes"]
+scenes2["s1/plots/p1/type"] = "pseudocolor"
+scenes2["s1/plots/p1/field"] = "gyre"
+# set the output file name (ascent will add ".png")
+scenes2["s1/image_name"] = "entropy_trigger_out_"
+
+# view our full actions tree
+print(actions.to_yaml())
+
+# gyre time varying params
+nsteps = 10
+time = 0.0
+delta_time = 0.5
+
+for step in range(nsteps):
+    # call helper that generates a double gyre time varying example mesh.
+    # gyre ref :https://shaddenlab.berkeley.edu/uploads/LCS-tutorial/examples.html
+    mesh = tutorial_gyre_example(time)
+
+    # update the example cycle
+    cycle = 100 + step * 100
+    mesh["state/cycle"] = cycle
+    print("time: {} cycle: {}".format(time,cycle))
+
+    # publish mesh to ascent
+    a.publish(mesh)
+
+    # execute the actions
+    a.execute(actions)
+
+    # update time
+    time = time + delta_time
+
+# retrieve the info node that contains the trigger and query results
+info = conduit.Node()
+a.info(info)
+
+# close ascent
+a.close()
+
+# show the result image from the cycle trigger
+ascent.jupyter.AscentImageSequenceViewer(["cycle_trigger_out_500.png", "entropy_trigger_out_200.png"]).show()