{
"cells": [
{
"outputs": [],
"cell_type": "markdown",
"source": [
"# **7.** Example\n",
"\n",
"\n",
"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": {}
},
{
"outputs": [],
"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": {}
},
{
"outputs": [],
"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": {}
},
{
"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": {},
"execution_count": 1
},
{
"outputs": [],
"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": {}
},
{
"outputs": [],
"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": {}
},
{
"outputs": [],
"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": {}
},
{
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": "11//15"
},
"metadata": {},
"execution_count": 2
}
],
"cell_type": "code",
"source": [
"x + y"
],
"metadata": {},
"execution_count": 2
},
{
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": "2//15"
},
"metadata": {},
"execution_count": 3
}
],
"cell_type": "code",
"source": [
"x * y"
],
"metadata": {},
"execution_count": 3
},
{
"outputs": [],
"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": {}
},
{
"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": {},
"execution_count": 4
},
{
"outputs": [],
"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": {}
},
{
"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": 5
}
],
"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": {},
"execution_count": 5
},
{
"outputs": [],
"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 two placeholders, which we will replace with\n",
"something else at time of generation. We have here replaced our placeholders\n",
"with `z` and `1.0 + 2.0im`:"
],
"metadata": {}
},
{
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": "1.0 + 2.0im"
},
"metadata": {},
"execution_count": 6
}
],
"cell_type": "code",
"source": [
"z = 1.0 + 2.0im"
],
"metadata": {},
"execution_count": 6
},
{
"outputs": [],
"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:\n",
"\n",
"\\begin{equation}\n",
"\\int_\\Omega \\nabla v \\cdot \\nabla u\\ \\mathrm{d}\\Omega = \\int_\\Omega v f\\ \\mathrm{d}\\Omega\n",
"\\end{equation}\n",
"\n",
"using Documenters math syntax. Documenters syntax is automatically changed to\n",
"`\\begin{equation} ... \\end{equation}` in the notebook output to display correctly."
],
"metadata": {}
},
{
"outputs": [],
"cell_type": "markdown",
"source": [
"*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": "1.0.4"
},
"kernelspec": {
"name": "julia-1.0",
"display_name": "Julia 1.0.4",
"language": "julia"
}
},
"nbformat": 4
}