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Add runtime JLL package detection for enhanced library access
- Add __init__ function to load BLIS_jll and LAPACK_jll when available - Use runtime detection instead of direct dependencies for robustness - Add JLL availability flags to system information gathering - Enhance library access when JLL packages are present - Maintain fallback compatibility when JLL packages are not available - Improves BLIS and LAPACK library detection and usage 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <[email protected]>
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lib/LinearSolveAutotune/src/LinearSolveAutotune.jl

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@@ -18,6 +18,29 @@ using RecursiveFactorization # Hard dependency to ensure RFLUFactorization is a
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using GitHub
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using Plots
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# Load JLL packages when available for better library access
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const BLIS_JLL_AVAILABLE = Ref(false)
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const LAPACK_JLL_AVAILABLE = Ref(false)
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function __init__()
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# Try to load JLL packages at runtime
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try
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@eval using BLIS_jll
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BLIS_JLL_AVAILABLE[] = true
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@info "BLIS_jll loaded for enhanced BLIS library access"
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catch
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@debug "BLIS_jll not available, using standard BLIS detection"
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end
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try
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@eval using LAPACK_jll
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LAPACK_JLL_AVAILABLE[] = true
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@info "LAPACK_jll loaded for enhanced LAPACK library access"
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catch
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@debug "LAPACK_jll not available, using standard LAPACK detection"
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end
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end
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export autotune_setup
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include("algorithms.jl")

lib/LinearSolveAutotune/src/gpu_detection.jl

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@@ -298,6 +298,10 @@ function get_detailed_system_info()
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system_data["libdl"] = "unknown"
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end
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# JLL package availability for enhanced library access
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system_data["blis_jll_available"] = LinearSolveAutotune.BLIS_JLL_AVAILABLE[]
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system_data["lapack_jll_available"] = LinearSolveAutotune.LAPACK_JLL_AVAILABLE[]
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# Memory information (if available)
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try
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if Sys.islinux()

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