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Fix typos
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.github/actions/spelling/allow/names.txt

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@@ -10,6 +10,7 @@ Austeja
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Bellenot
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Bisht
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Breitwieser
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Camolezi
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Cariappa
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Corlay
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Couet
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mihailmihov
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mihov
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mizvekov
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mozil
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mvassilev
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oshadura
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ovdiiuv

_data/contributors.yml

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description: |
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The Clang compiler is part of the LLVM compiler infrastructure and
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supports various languages such as C, C++, ObjC and ObjC++. Advancements
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in JIT infstructure and usability of Clang libriries in LLVM has enabled
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in JIT infrastructure and usability of Clang libraries in LLVM has enabled
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research into processing C++. It has been challenging to include
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incremental compilation and fitting compile time optimizations into a
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more dynamic environment. Incremental compilation pipelines process code
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chunk-by-chunk by building an ever-growing translation unit. Code is
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then lowered into the LLVM IR and subsequently run by the LLVM JIT. The
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incremental compilation mode is used by the interactive C++ interpreter,
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Cling, initially developed to enable interactive high-energy physics
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analysis in a C++ environment. Clang-repl is a new-tool incroporated in
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LLVM ecosystem by residesigning parts of Cling in Clang mainline. The
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analysis in a C++ environment. Clang-repl is a new-tool incorporated in
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LLVM ecosystem by redesigning parts of Cling in Clang mainline. The
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project aims at enhancing the error recovery when users type C++ at the
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prompt of clang-repl.
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mentors: Vassil Vassilev, David Lange
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allow implicit and explicit runtime shared library loading. It requires
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the interpreter to load the library descriptor. Re-parsing of
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descriptors’ content has a noticeable effect on runtime performance. C++
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Modules are designed to minimize the reparsing of the same header
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Modules are designed to minimize the re-parsing of the same header
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content by providing an efficient on-disk representation of the C++
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Code. C++ Modules have been implemented for Unix and OS X systems
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already and it is expected that with next release of ROOT, C++ modules

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