@ -22,6 +22,7 @@ is given the content `String` just before writing it to the output file, but for
@@ -22,6 +22,7 @@ is given the content `String` just before writing it to the output file, but for
notebook output `postprocess` is given the dictionary representing the notebook,
since, in general, this is more useful.
## Example: Adding current date
As an example, lets say we want to splice the date of generation into the output.
We could of course update our source file before generating the docs, but we could
instead use a `preprocess` function that splices the date into the source for us.
@ -45,3 +46,55 @@ now simply give this function to the generator, for example:
@@ -45,3 +46,55 @@ now simply give this function to the generator, for example:
## Example: Replacing `include` calls with included code
Let's say that we have some individual example files `file1, file2, ...` etc.
that are _runnable_ and also following the style of Literate. These files could be for example used in the test suite of your package.
We want to group them all into a single page in our documentation, but we
do not want to copy paste the content of `file1, ...` for robustness: the files are included in the test suite and some changes may occur to them. We want these changes to also be reflected in the documentation.
A very easy way to do this is using `preprocess` to interchange `include` statements with file content. First, create a runnable `.jl` following the format of Literate (the following example comes from the documentation of the Julia package [`TimeseriesPrediction`](https://github.com/JuliaDynamics/TimeseriesPrediction.jl), which uses this approach to create some pages)
```julia
# # Spatio-Temporal Prediction Examples
# In this page we are simply running files from the
# `examples` folder of the `TimeseriesPrediction` package.
# ## Temporal Prediction: Kuramoto-Sivashinsky
# *(this requires `FFTW` to be installed)*
include("1Dfield_temporalprediction.jl")
# ## Cross Prediction: Barkley Model
include("2Dfield_crossprediction.jl")
# ## Temporal Prediction: Periodic Nonlinear Barkley Model
include("2Dfield_temporalprediction.jl")
```
Then, you want to properly define a pre-processing function: