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Literate.jl
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Literate.jl/dev/generated/example.ipynb

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{
"cells": [
{
"outputs": [],
"cell_type": "markdown",
"source": [
"# **7.** Example\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/latest/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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},
"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": "1.0.1"
},
"kernelspec": {
"name": "julia-1.0",
"display_name": "Julia 1.0.1",
"language": "julia"
}
},
"nbformat": 4
}