{
"cells": [
{
"cell_type": "markdown",
"source": [
"# **8.** Example"
],
"metadata": {
"name": "A slide ",
"slideshow": {
"slide_type": "slide"
}
}
},
{
"cell_type": "markdown",
"source": [
"This is an example generated with Literate based on this\n",
"source file: [`example.jl`](https://github.com/fredrikekre/Literate.jl/blob/master/examples/example.jl).\n",
"You are seeing the\n",
"generated notebook output. The corresponding markdown (HTML) output\n",
"can be found here: [`example.html`](https://fredrikekre.github.io/Literate.jl/dev/generated/example.html),\n",
"and the plain script output can be found here: [`example.jl`](./example.jl)."
],
"metadata": {
"name": "A slide ",
"slideshow": {
"slide_type": "slide"
}
}
},
{
"cell_type": "markdown",
"source": [
"To view this notebook as a slideshow, install the [RISE plugin](https://rise.readthedocs.io/en/stable/installation.html)\n",
"and press `alt-r` to start. Use spacebar to advance."
],
"metadata": {
"name": "A slide ",
"slideshow": {
"slide_type": "fragment"
}
}
},
{
"cell_type": "markdown",
"source": [
"It is recommended to have the [source file](https://github.com/fredrikekre/Literate.jl/blob/master/examples/example.jl)\n",
"available when reading this, to better understand how the syntax in the source file\n",
"corresponds to the output you are seeing."
],
"metadata": {
"name": "A slide ",
"slideshow": {
"slide_type": "fragment"
}
}
},
{
"cell_type": "markdown",
"source": [
"### Basic syntax\n",
"The basic syntax for Literate is simple, lines starting with `# ` is interpreted\n",
"as markdown, and all the other lines are interpreted as code. Here is some code:"
],
"metadata": {
"name": "A slide ",
"slideshow": {
"slide_type": "slide"
}
}
},
{
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": "2//5"
},
"metadata": {},
"execution_count": 1
}
],
"cell_type": "code",
"source": [
"x = 1//3\n",
"y = 2//5"
],
"metadata": {
"name": "A slide ",
"slideshow": {
"slide_type": "fragment"
}
},
"execution_count": 1
},
{
"cell_type": "markdown",
"source": [
"In markdown sections we can use markdown syntax. For example, we can\n",
"write *text in italic font*, **text in bold font** and use\n",
"[links](https://www.youtube.com/watch?v=dQw4w9WgXcQ)."
],
"metadata": {
"name": "A slide ",
"slideshow": {
"slide_type": "subslide"
}
}
},
{
"cell_type": "markdown",
"source": [
"It is possible to filter out lines depending on the output using the\n",
"`#md`, `#nb`, `#jl` and `#src` tags (see Filtering Lines):\n",
"- This line starts with `#nb` and is thus only visible in the notebook output."
],
"metadata": {
"name": "A slide ",
"slideshow": {
"slide_type": "fragment"
}
}
},
{
"cell_type": "markdown",
"source": [
"The source file is parsed in chunks of markdown and code. Starting a line\n",
"with `#-` manually inserts a chunk break. For example, if we want to\n",
"display the output of the following operations we may insert `#-` in\n",
"between. These two code blocks will now end up in different\n",
"`@example`-blocks in the markdown output, and two different notebook cells\n",
"in the notebook output."
],
"metadata": {
"name": "A slide ",
"slideshow": {
"slide_type": "subslide"
}
}
},
{
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": "11//15"
},
"metadata": {},
"execution_count": 2
}
],
"cell_type": "code",
"source": [
"x + y"
],
"metadata": {
"name": "A slide ",
"slideshow": {
"slide_type": "subslide"
}
},
"execution_count": 2
},
{
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": "2//15"
},
"metadata": {},
"execution_count": 3
}
],
"cell_type": "code",
"source": [
"x * y"
],
"metadata": {
"name": "A slide ",
"slideshow": {
"slide_type": "fragment"
}
},
"execution_count": 3
},
{
"cell_type": "markdown",
"source": [
"### Output Capturing\n",
"Code chunks are by default placed in Documenter `@example` blocks in the generated\n",
"markdown. This means that the output will be captured in a block when Documenter is\n",
"building the docs. In notebooks the output is captured in output cells, if the\n",
"`execute` keyword argument is set to true. Output to `stdout`/`stderr` is also\n",
"captured."
],
"metadata": {
"name": "A slide ",
"slideshow": {
"slide_type": "slide"
}
}
},
{
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"This string is printed to stdout.\n"
]
},
{
"output_type": "execute_result",
"data": {
"text/plain": "4-element Vector{Int64}:\n 1\n 2\n 3\n 4"
},
"metadata": {},
"execution_count": 4
}
],
"cell_type": "code",
"source": [
"function foo()\n",
" println(\"This string is printed to stdout.\")\n",
" return [1, 2, 3, 4]\n",
"end\n",
"\n",
"foo()"
],
"metadata": {
"name": "A slide ",
"slideshow": {
"slide_type": "subslide"
}
},
"execution_count": 4
},
{
"cell_type": "markdown",
"source": [
"Just like in the REPL, outputs ending with a semicolon hides the output:"
],
"metadata": {}
},
{
"outputs": [],
"cell_type": "code",
"source": [
"1 + 1;"
],
"metadata": {},
"execution_count": 5
},
{
"cell_type": "markdown",
"source": [
"Both Documenter's `@example` block and notebooks can display images. Here is an example\n",
"where we generate a simple plot using the\n",
"[Plots.jl](https://github.com/JuliaPlots/Plots.jl) package"
],
"metadata": {
"name": "A slide ",
"slideshow": {
"slide_type": "subslide"
}
}
},
{
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": "Plot{Plots.GRBackend() n=2}",
"image/png": 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",
"text/html": [
"\n",
"\n"
],
"image/svg+xml": [
"\n",
"\n"
]
},
"metadata": {},
"execution_count": 6
}
],
"cell_type": "code",
"source": [
"using Plots\n",
"x = range(0, stop=6π, length=1000)\n",
"y1 = sin.(x)\n",
"y2 = cos.(x)\n",
"plot(x, [y1, y2])"
],
"metadata": {
"name": "A slide ",
"slideshow": {
"slide_type": "subslide"
}
},
"execution_count": 6
},
{
"cell_type": "markdown",
"source": [
"### Custom processing\n",
"\n",
"It is possible to give Literate custom pre- and post-processing functions.\n",
"For example, here we insert a placeholder value `y = 321` in the source, and use a\n",
"preprocessing function that replaces it with `y = 321` in the rendered output."
],
"metadata": {
"name": "A slide ",
"slideshow": {
"slide_type": "slide"
}
}
},
{
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": "123"
},
"metadata": {},
"execution_count": 7
}
],
"cell_type": "code",
"source": [
"x = 123"
],
"metadata": {
"name": "A slide ",
"slideshow": {
"slide_type": "subslide"
}
},
"execution_count": 7
},
{
"cell_type": "markdown",
"source": [
"In this case the preprocessing function is defined by"
],
"metadata": {
"name": "A slide ",
"slideshow": {
"slide_type": "fragment"
}
}
},
{
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": "pre (generic function with 1 method)"
},
"metadata": {},
"execution_count": 8
}
],
"cell_type": "code",
"source": [
"function pre(s::String)\n",
" s = replace(s, \"x = 123\" => \"y = 321\")\n",
" return s\n",
"end"
],
"metadata": {
"name": "A slide ",
"slideshow": {
"slide_type": "fragment"
}
},
"execution_count": 8
},
{
"cell_type": "markdown",
"source": [
"### Documenter.jl interaction\n",
"\n",
"In the source file it is possible to use Documenter.jl style references,\n",
"such as `@ref` and `@id`. These will be filtered out in the notebook output.\n",
"For example, here is a link, but it is only\n",
"visible as a link if you are reading the markdown output. We can also\n",
"use equations:"
],
"metadata": {
"name": "A slide ",
"slideshow": {
"slide_type": "slide"
}
}
},
{
"cell_type": "markdown",
"source": [
"$$\n",
"\\int_\\Omega \\nabla v \\cdot \\nabla u\\ \\mathrm{d}\\Omega = \\int_\\Omega v f\\ \\mathrm{d}\\Omega\n",
"$$"
],
"metadata": {
"name": "A slide ",
"slideshow": {
"slide_type": "fragment"
}
}
},
{
"cell_type": "markdown",
"source": [
"using Documenters math syntax. Documenters syntax is automatically changed to\n",
"`\\begin{equation} ... \\end{equation}` in the notebook output to display correctly."
],
"metadata": {
"name": "A slide ",
"slideshow": {
"slide_type": "fragment"
}
}
},
{
"cell_type": "markdown",
"source": [
"---\n",
"\n",
"*This notebook was generated using [Literate.jl](https://github.com/fredrikekre/Literate.jl).*"
],
"metadata": {}
}
],
"nbformat_minor": 3,
"metadata": {
"language_info": {
"file_extension": ".jl",
"mimetype": "application/julia",
"name": "julia",
"version": "1.6.1"
},
"kernelspec": {
"name": "julia-1.6",
"display_name": "Julia 1.6.1",
"language": "julia"
}
},
"nbformat": 4
}