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Add exercises to tutorial notebooks 1-9 #1223

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Add exercises to tutorial notebooks 1-9 #1223

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42 changes: 39 additions & 3 deletions src/examples/tutorial/ascent_intro/notebooks/01_ascent_first_light.ipynb
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Expand Up @@ -6,7 +6,7 @@
"source": [
"## First Light Example\n",
"### Render a sample dataset using Ascent\n",
"To start, we run a basic “First Light” example to generate an image. This example renders the an example dataset using ray casting to create a pseudocolor plot. The dataset is one of the built-in Conduit Mesh Blueprint examples, in this case an unstructured mesh composed of hexagons."
"To start, we run a basic “First Light” example to generate an image. This example renders the example dataset using ray casting to create a pseudocolor plot. The dataset is one of the built-in Conduit Mesh Blueprint examples, in this case an unstructured mesh composed of hexagons."
]
},
{
Expand Down Expand Up @@ -118,11 +118,47 @@
"# close ascent\n",
"a.close()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Exercise\n",
"\n",
"**First**, change the \"field\" name for this dataset from \"braid\" to \"radial\" and re-plot the image.\n",
"\n",
"**Second**, observe how the image generated changes as you decrease the number of points on the mesh. For example, move from a 50x50x50 mesh to a 15x15x15 mesh.\n",
"\n"
]
},
{
"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/exercise1.py"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
Expand All @@ -136,7 +172,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.6"
"version": "3.9.13"
}
},
"nbformat": 4,
Expand Down
72 changes: 69 additions & 3 deletions src/examples/tutorial/ascent_intro/notebooks/02_conduit_basics.ipynb
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Expand Up @@ -118,11 +118,77 @@
"\n",
"print(n.to_yaml())"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Exercise\n",
"\n",
"**First**, create a tree with the following format:\n",
"\n",
"```\n",
"animals: \n",
" carnivores: \n",
" - \"cat\"\n",
" herbivores: \n",
" - \"koala\"\n",
" - \"sloth\"\n",
" omnivores: \n",
" - \"dog\"\n",
" - \"human\"\n",
"```\n",
"\n",
"Hint: You'll have to use lists.\n",
"\n",
"**Second**\n",
"\n",
"Add \"bear\" to the list of omnivores in `animals` so that the tree looks like\n",
"\n",
"```\n",
"animals: \n",
" carnivores: \n",
" - \"cat\"\n",
" herbivores: \n",
" - \"koala\"\n",
" - \"sloth\"\n",
" omnivores: \n",
" - \"dog\"\n",
" - \"human\"\n",
" - \"bear\"\n",
"```\n",
"\n",
"Here you'll use the `set` method introduced above! See [these docs](https://llnl-conduit.readthedocs.io/en/latest/tutorial_python_basics.html) for help."
]
},
{
"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/exercise2.py"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
Expand All @@ -136,9 +202,9 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.6"
"version": "3.9.13"
}
},
"nbformat": 4,
"nbformat_minor": 2
"nbformat_minor": 4
}
50 changes: 47 additions & 3 deletions src/examples/tutorial/ascent_intro/notebooks/03_conduit_blueprint_mesh_examples.ipynb
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Expand Up @@ -450,11 +450,55 @@
"# view our results\n",
"ascent.jupyter.AscentImageSequenceViewer(result_image_files).show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Exercise\n",
"\n",
"Use/alter the code from Mesh Blueprint Example 1 to create a scene with two plots: two versions of the alternating field on a uniform grid -- one with an origin at (-10,-10,-10) and one with an origin at (0,0,0).\n",
"\n",
"**First**, add a second coordinate set to `mesh` and call it `mycoords`. `mycoords` will have the same properties as `coords` except for the difference in origin.\n",
"\n",
"**Second**, add a second topology to `mesh` and call it `mytopo`. `mytopo` will have the same properties as `topo` except that its coordinate set will be `mycoords` instead of `coords`.\n",
"\n",
"**Third**, add a second field to `mesh` and call it `myalternating`. `myalternating` will have the same properties as `alternating` except that its topology will be `mytopo` instead of `topo`.\n",
"\n",
"**Fourth** add a second plot (`p2`) to the scene `s1`. `p1` will still plot the field `alternating` and `p2` should plot `myalternating`.\n",
"\n",
"Finally, use AscentViewer to plot the result.\n",
"\n"
]
},
{
"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/exercise3.py"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
Expand All @@ -468,9 +512,9 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.6"
"version": "3.9.13"
}
},
"nbformat": 4,
"nbformat_minor": 2
"nbformat_minor": 4
}
52 changes: 49 additions & 3 deletions src/examples/tutorial/ascent_intro/notebooks/04_ascent_scene_examples.ipynb
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Expand Up @@ -318,11 +318,57 @@
"# close ascent\n",
"a.close()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Exercise\n",
"\n",
"Use and modify the code from Scene Example 3 (\"Adjusting camera parameters\").\n",
"Change the color scheme to Viridis and rotate the view of the tet example\n",
"360 degrees. \n",
"\n",
"**First**, update the name of the color table as in Example 4.\n",
"\n",
"**Second**, create 37 renders of `s1` with azimuth angles [0, 10, 20, 30, .... 360]\n",
"\n",
"Note: the following Python syntax for string interpolation may be helpful:\n",
"\n",
"```\n",
"a = \"world\"\n",
"print(f\"Hello {a}\")\n",
"```"
]
},
{
"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/exercise4.py"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
Expand All @@ -336,9 +382,9 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.6"
"version": "3.9.13"
}
},
"nbformat": 4,
"nbformat_minor": 2
"nbformat_minor": 4
}
45 changes: 42 additions & 3 deletions src/examples/tutorial/ascent_intro/notebooks/05_ascent_pipeline_examples.ipynb
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Expand Up @@ -317,11 +317,50 @@
"# close ascent\n",
"a.close()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Exercise\n",
"\n",
"Use and refactor the code in Pipeline Example 3.\n",
"\n",
"**First** break the second pipeline `pl2` with two filters into two pipelines (`pl2` and `pl3`) -- one with a single filter each. \n",
"\n",
"**Second** create separate plots in `s1` for each of the three pipelines.\n",
"\n",
"You should end with a single scene and three plots that you can toggle between."
]
},
{
"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/exercise5.py"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
Expand All @@ -335,9 +374,9 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.6"
"version": "3.9.13"
}
},
"nbformat": 4,
"nbformat_minor": 2
"nbformat_minor": 4
}
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