{
"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": [
"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
},
{
"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": 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": {},
"execution_count": 6
},
{
"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": 7
}
],
"cell_type": "code",
"source": [
"z = 1.0 + 2.0im"
],
"metadata": {},
"execution_count": 7
},
{
"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",
"$$\n",
"\\int_\\Omega \\nabla v \\cdot \\nabla u\\ \\mathrm{d}\\Omega = \\int_\\Omega v f\\ \\mathrm{d}\\Omega\n",
"$$\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": [
"---\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": "1.3.0"
},
"kernelspec": {
"name": "julia-1.3",
"display_name": "Julia 1.3.0",
"language": "julia"
}
},
"nbformat": 4
}