format

Author: Vaibhavdixit02

NEWS.md

@@ -1,9 +1,7 @@
 # v4 Breaking changes
 
-1. The main change in this breaking release has been the way mini-batching is handled. The data argument in the solve call and the implicit iteration of that in the callback has been removed,
-the stochastic solvers (Optimisers.jl and Sophia) now handle it explicitly. You would now pass in a DataLoader to OptimizationProblem as the second argument to the objective etc (p) if you
-want to do minibatching, else for full batch just pass in the full data.
+ 1. The main change in this breaking release has been the way mini-batching is handled. The data argument in the solve call and the implicit iteration of that in the callback has been removed,
+    the stochastic solvers (Optimisers.jl and Sophia) now handle it explicitly. You would now pass in a DataLoader to OptimizationProblem as the second argument to the objective etc (p) if you
+    want to do minibatching, else for full batch just pass in the full data.
 
-2. The support for extra returns from objective function has been removed. Now the objective should only return a scalar loss value, hence callback doesn't take extra arguments other than the state and loss value.
-
- 
+ 2. The support for extra returns from objective function has been removed. Now the objective should only return a scalar loss value, hence callback doesn't take extra arguments other than the state and loss value.

docs/src/index.md

@@ -171,9 +171,11 @@ to add the specific wrapper packages.
     - Unconstrained: ✅
 </details>
 ```
+
 🟡 = supported in downstream library but not yet implemented in `Optimization.jl`; PR to add this functionality are welcome
 
 ## Citation
+
 ```
 @software{vaibhav_kumar_dixit_2023_7738525,
 	author = {Vaibhav Kumar Dixit and Christopher Rackauckas},
@@ -185,37 +187,48 @@ to add the specific wrapper packages.
   	url = {https://doi.org/10.5281/zenodo.7738525},
 	year = 2023}
 ```
+
 ## Reproducibility
+
 ```@raw html
 <details><summary>The documentation of this SciML package was built using these direct dependencies,</summary>
 ```
+
 ```@example
 using Pkg # hide
 Pkg.status() # hide
 ```
+
 ```@raw html
 </details>
 ```
+
 ```@raw html
 <details><summary>and using this machine and Julia version.</summary>
 ```
+
 ```@example
 using InteractiveUtils # hide
 versioninfo() # hide
 ```
+
 ```@raw html
 </details>
 ```
+
 ```@raw html
 <details><summary>A more complete overview of all dependencies and their versions is also provided.</summary>
 ```
+
 ```@example
 using Pkg # hide
 Pkg.status(; mode = PKGMODE_MANIFEST) # hide
 ```
+
 ```@raw html
 </details>
 ```
+
 ```@eval
 using TOML
 using Markdown

lib/OptimizationOptimJL/src/OptimizationOptimJL.jl

@@ -292,7 +292,6 @@ function SciMLBase.__solve(cache::OptimizationCache{
     else
         fg! = cache.f.fg
     end
-    
 
     gg = function (G, θ)
         cache.f.grad(G, θ)