Add RecursiveFactorization as hard dependency to LinearSolveAutotune

- Add RecursiveFactorization to Project.toml dependencies and compat
- Import RecursiveFactorization in main module to ensure RFLUFactorization is available
- This ensures autotune can test all available algorithms including RFLUFactorization
- RFLUFactorization now properly available for all element types including BigFloat

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <[email protected]>

Author: ChrisRackauckas

lib/LinearSolveAutotune/Project.toml

@@ -17,6 +17,7 @@ LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
 Printf = "de0858da-6303-5e67-8744-51eddeeeb8d7"
 Dates = "ade2ca70-3891-5945-98fb-dc099432e06a"
 Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
+RecursiveFactorization = "f2c3362d-daeb-58d1-803e-2bc74f2840b4"
 CUDA = "052768ef-5323-5732-b1bb-66c8b64840ba"
 Metal = "dde4c033-4e86-420c-a63e-0dd931031962"
 
@@ -38,6 +39,7 @@ LinearAlgebra = "1"
 Printf = "1"
 Dates = "1"
 Test = "1"
+RecursiveFactorization = "0.2"
 CUDA = "5"
 Metal = "1"
 julia = "1.10"

lib/LinearSolveAutotune/src/LinearSolveAutotune.jl

@@ -10,6 +10,7 @@ using Random
 using LinearAlgebra
 using Printf
 using Dates
+using RecursiveFactorization  # Hard dependency to ensure RFLUFactorization is available
 
 # Optional dependencies for telemetry and plotting
 using GitHub