format

Author: oscardssmith

README.md

@@ -55,7 +55,7 @@ corresponding to `(u,t)` pairs.
   - `CubicSpline(u,t)` - A cubic spline interpolation.
   - `AkimaInterpolation(u, t)` - Akima spline interpolation provides a smoothing effect and is computationally efficient.
   - `BSplineInterpolation(u,t,d,pVec,knotVec)` - An interpolation B-spline. This is a B-spline which hits each of the data points. The argument choices are:
-
+    
       + `d` - degree of B-spline
       + `pVec` - Symbol to Parameters Vector, `pVec = :Uniform` for uniform spaced parameters and `pVec = :ArcLen` for parameters generated by chord length method.
       + `knotVec` - Symbol to Knot Vector, `knotVec = :Uniform` for uniform knot vector, `knotVec = :Average` for average spaced knot vector.

docs/src/index.md

@@ -25,7 +25,7 @@ corresponding to `(u,t)` pairs.
   - `CubicSpline(u,t)` - A cubic spline interpolation.
   - `AkimaInterpolation(u, t)` - Akima spline interpolation provides a smoothing effect and is computationally efficient.
   - `BSplineInterpolation(u,t,d,pVec,knotVec)` - An interpolation B-spline. This is a B-spline that hits each of the data points. The argument choices are:
-
+    
       + `d` - degree of B-spline
       + `pVec` - Symbol to Parameters Vector, `pVec = :Uniform` for uniformly spaced parameters, and `pVec = :ArcLen` for parameters generated by the chord length method.
       + `knotVec` - Symbol to Knot Vector, `knotVec = :Uniform` for uniform knot vector, `knotVec = :Average` for average spaced knot vector.
@@ -73,7 +73,7 @@ If you use this software in your work, please cite:
 
   - See the [SciML Style Guide](https://github.com/SciML/SciMLStyle) for common coding practices and other style decisions.
   - There are a few community forums:
-
+    
       + The #diffeq-bridged and #sciml-bridged channels in the
         [Julia Slack](https://julialang.org/slack/)
       + The #diffeq-bridged and #sciml-bridged channels in the