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
Cannot figure out quickly what's wrong with that
lorenz = TensorIndexType("lorenz","L",4) @heads [lorenz] pX p3 p1 p2
the first argument is not recognized as AbstractArray{SymbolicTensors.TensorIndexType}. Instead, Julia think that it is Expr...(?):
AbstractArray{SymbolicTensors.TensorIndexType}
Expr
MethodError: no method matching var"@heads"(::LineNumberNode, ::Module, ::Expr, ::Symbol, ::Symbol, ::Symbol, ::Symbol) Closest candidates are: var"@heads"(::LineNumberNode, ::Module, !Matched::AbstractArray{SymbolicTensors.TensorIndexType}, ::Any...) at \.julia\packages\SymbolicTensors\DPYJA\src\tensor.jl:244 #macroexpand#[email protected]:115[inlined] macroexpand@expr.jl:114[inlined] try_macroexpand(::Module, ::Base.UUID, ::Expr)@PlutoRunner.jl:248 var"#run_expression#25"(::Bool, ::typeof(Main.PlutoRunner.run_expression), ::Module, ::Expr, ::Base.UUID, ::Nothing, ::Nothing)@PlutoRunner.jl:477 top-level scope@none:1
the @head macro looks ok, but different to @indices.
@head
@indices
The text was updated successfully, but these errors were encountered:
No branches or pull requests
Cannot figure out quickly what's wrong with that
the first argument is not recognized as
AbstractArray{SymbolicTensors.TensorIndexType}
. Instead, Julia think that it isExpr
...(?):the
@head
macro looks ok, but different to@indices
.The text was updated successfully, but these errors were encountered: