We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
type MD has no field args
I am using ReplGPT on my system and come across the following error:
using ReplGPT ReplGPT.setAPIkey("my-key") ChatGPT> Can you give me a quick example of exponentiating a matrix in Julia? ERROR: type MD has no field args Stacktrace: [1] getproperty @ ./Base.jl:37 [inlined] [2] get_usings!(usings::Vector{Any}, ex::Markdown.MD) @ REPL.IPython ~/.asdf/installs/julia/1.9.0-rc2/share/julia/stdlib/v1.9/REPL/src/REPL.jl:1423 [3] out_transform(x::Any, n::Base.RefValue{Int64}) @ REPL.IPython ~/.asdf/installs/julia/1.9.0-rc2/share/julia/stdlib/v1.9/REPL/src/REPL.jl:1413 [4] (::REPL.IPython.var"#5#6"{Base.RefValue{Int64}})(ast::Any) @ REPL.IPython ~/.asdf/installs/julia/1.9.0-rc2/share/julia/stdlib/v1.9/REPL/src/REPL.jl:1476 [5] #invokelatest#2 @ ./essentials.jl:816 [inlined] [6] invokelatest @ ./essentials.jl:813 [inlined] [7] eval_user_input(ast::Any, backend::REPL.REPLBackend, mod::Module) @ REPL ~/.asdf/installs/julia/1.9.0-rc2/share/julia/stdlib/v1.9/REPL/src/REPL.jl:151 [8] repl_backend_loop(backend::REPL.REPLBackend, get_module::Function) @ REPL ~/.asdf/installs/julia/1.9.0-rc2/share/julia/stdlib/v1.9/REPL/src/REPL.jl:249 [9] start_repl_backend(backend::REPL.REPLBackend, consumer::Any; get_module::Function) @ REPL ~/.asdf/installs/julia/1.9.0-rc2/share/julia/stdlib/v1.9/REPL/src/REPL.jl:234 [10] run_repl(repl::AbstractREPL, consumer::Any; backend_on_current_task::Bool, backend::Any) @ REPL ~/.asdf/installs/julia/1.9.0-rc2/share/julia/stdlib/v1.9/REPL/src/REPL.jl:377 [11] run_repl(repl::AbstractREPL, consumer::Any) @ REPL ~/.asdf/installs/julia/1.9.0-rc2/share/julia/stdlib/v1.9/REPL/src/REPL.jl:363 [12] (::Base.var"#1019#1021"{Bool, Bool, Bool})(REPL::Module) @ Base ./client.jl:421 [13] #invokelatest#2 @ ./essentials.jl:816 [inlined] [14] invokelatest @ ./essentials.jl:813 [inlined] [15] run_main_repl(interactive::Bool, quiet::Bool, banner::Bool, history_file::Bool, color_set::Bool) @ Base ./client.jl:405 [16] exec_options(opts::Base.JLOptions) @ Base ./client.jl:322 [17] _start() @ Base ./client.jl:522 julia> versioninfo() Julia Version 1.9.0-rc2 Commit 72aec423c2a (2023-04-01 10:41 UTC) Platform Info: OS: macOS (x86_64-apple-darwin21.4.0) WORD_SIZE: 64 LIBM: libopenlibm LLVM: libLLVM-14.0.6 (ORCJIT, skylake-avx512)
It seems to be caused by Julia v1.9's IPython mode in my startup.jl. When I comment these lines, the error disappears:
startup.jl
using REPL atreplinit() do repl if !isdefined(repl, :interface) repl.interface = REPL.setup_interface(repl) end REPL.ipython_mode!(repl) end
See ThatcherC/ReplGPT.jl#24
The text was updated successfully, but these errors were encountered:
Successfully merging a pull request may close this issue.
I am using ReplGPT on my system and come across the following error:
It seems to be caused by Julia v1.9's IPython mode in my
startup.jl
. When I comment these lines, the error disappears:See ThatcherC/ReplGPT.jl#24
The text was updated successfully, but these errors were encountered: