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[Bug]: lists are wrapped #103
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Description
Component
Formatter
Panache Version
2.29.0
Operating System
macOS
Description
My .panache.toml includes:
# Formatting style
[style]
wrap = "preserve"
using panache format *.qmd resulting in wrapping list items.
Input Document
1. **Simple model**: Convert each of the `r length(levels(forested_train$county))` counties to binary indicators and drop any predictors with zero-variance.
2. **Normalization model**: Begin with the simple model and add a normalization step that applies the ORD transformation to all numeric predictors.
3. **Encoding model**: Build on the normalization model by replacing the county dummy indicators with effect encoding.
4. **Interaction model**: extend the encoding by including interaction terms.
5. **Spline model**: Enhance the interaction model further with ten natural spline basis functions for a set of predictors.Expected Output
I expected no change:
1. **Simple model**: Convert each of the `r length(levels(forested_train$county))` counties to binary indicators and drop any predictors with zero-variance.
2. **Normalization model**: Begin with the simple model and add a normalization step that applies the ORD transformation to all numeric predictors.
3. **Encoding model**: Build on the normalization model by replacing the county dummy indicators with effect encoding.
4. **Interaction model**: extend the encoding by including interaction terms.
5. **Spline model**: Enhance the interaction model further with ten natural spline basis functions for a set of predictors.Actual Output
1. **Simple model**: Convert each of the
`r length(levels(forested_train$county))` counties to binary indicators and
drop any predictors with zero-variance.
2. **Normalization model**: Begin with the simple model and add a normalization
step that applies the ORD transformation to all numeric predictors.
3. **Encoding model**: Build on the normalization model by replacing the county
dummy indicators with effect encoding.
4. **Interaction model**: extend the encoding by including interaction terms.
5. **Spline model**: Enhance the interaction model further with ten natural
spline basis functions for a set of predictors.Configuration
Additional Context
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