{
"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 Array{Int64,1}:\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": "1.5.1"
},
"kernelspec": {
"name": "julia-1.5",
"display_name": "Julia 1.5.1",
"language": "julia"
}
},
"nbformat": 4
}