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Ignores and typos
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.github/actions/spelling/allow/names.txt

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Raghunandan
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Rajamanickam
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Ramaiah
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Rathaur
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Rembser
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Rietmann
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Rodozov

.github/actions/spelling/allow/terms.txt

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AARCH
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CINT
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CMSSW
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Cppyy
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Debian
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GPGPU
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GSo
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GSoC
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HSF
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JIT’d
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Jacobians
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LLVM
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Softsusy
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Superbuilds
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TFormula
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TTree
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aarch
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bioinformatics
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consteval

_data/contributors.yml

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differentiation directly on C++ frontend to utilize the benefits of
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clang’s infrastructure.
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proposal: /assets/docs/Mihail_Mihov_GSoC24_Proposal.pdf
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mentors: Vaibhav Thakkar, Petro Zaritskyi, Vassil Vassilev
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mentors: Vaibhav Thakkar, Petro Zarytskyi, Vassil Vassilev
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- name: Vaibhav Thakkar
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RooFit is a toolkit for statistical modeling and fitting used by most
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experiments in particle physics. Just as data sets from next-generation
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experiments grow, processing requirements for physics analysis become
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more computationally demanding, necessitating performance optimizations
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more computationally demanding, necessitating performance optimizagtions
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for RooFit. One possibility to speed-up minimization and add stability
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is the use of automatic differentiation (AD). Unlike for numerical
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differentiation, the computation cost scales linearly with the number of
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candidates are well-typed with respect to cursor positions. The
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project incorporates the completion infrastructure of Cling into
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Clang-REPL. Next, we build components that handle type contexts and
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subtyping. Lastly, we combine the completion and type-related
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subtypes. Lastly, we combine the completion and type-related
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components to deliver the type-directed auto-completion in Clang-REPL.
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proposal: /assets/docs/FredFu_Proposal.pdf
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mentors: Vassil Vassilev
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Clang-REPL is the evolution of Cling, an interactive c++ interpreter
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based on LLVM and Clang. It first developed as part of the high-energy
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physics (HEP) data analysis project - ROOT, and subsequently grew as a
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standalone tool outisde the HEP community. The main goal behind the
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standalone tool outside the HEP community. The main goal behind the
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Clang-REPL project is to move most parts of Cling into LLVM. By doing
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so, the benefits of using the LLVM community standards for code reviews,
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release cycles and integration will ensure the software's

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