{
"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": "1.6.2"
},
"kernelspec": {
"name": "julia-1.6",
"display_name": "Julia 1.6.2",
"language": "julia"
}
},
"nbformat": 4
}