MethodError: Cannot `convert` an object of type SymbolicUtils.Term{Number, Nothing} to an object of type SymbolicUtils.Pow{Number, SymbolicUtils.Term{Number, Nothing}, Float32, Nothing} about symbolicregression.jl HOT 3 CLOSED

julia> options = SymbolicRegression.Options(
    binary_operators=(+, *, /, -, ^),
    unary_operators=(sqrt,),
    npopulations=100,
);
julia> tree = Node(1, Node(1) ^ 1.3 + Node(2) * 3.2 ^ Node(3));
julia> printTree(tree, options)
sqrt_abs(pow(x1, 1.3) + (x2 * pow(3.2, x3)))

julia> eqn = node_to_symbolic(tree, options)
ERROR: MethodError: Cannot `convert` an object of type SymbolicUtils.Term{Number, Nothing} to an object of type SymbolicUtils.Add{Number, Int64, Dict{Any, Number}, Nothing}
Closest candidates are:
  convert(::DataType, ::SymbolicUtils.Symbolic, ::Options; varMap) at /Users/mcranmer/SymbolicRegression.jl/src/InterfaceSymbolicUtils.jl:78
  convert(::Type{var"#s16"} where var"#s16"<:Union{Number, T}, ::MultivariatePolynomials.AbstractPolynomialLike{T}) where T at /Users/mcranmer/.julia/packages/MultivariatePolynomials/vqcb5/src/conversion.jl:65
  convert(::DataType, ::Symbol, ::Options; varMap) at /Users/mcranmer/SymbolicRegression.jl/src/InterfaceSymbolicUtils.jl:73
  ...
Stacktrace:
 [1] sqrt_abs(x::SymbolicUtils.Add{Number, Int64, Dict{Any, Number}, Nothing})
   @ SymbolicRegression.../Operators.jl ~/SymbolicRegression.jl/src/Operators.jl:74
 [2] parse_tree_to_eqs(tree::Node, options::Options{Tuple{typeof(+), typeof(*), typeof(/), typeof(-), typeof(pow)}, Tuple{typeof(sqrt_abs)}, L2DistLoss}, index_functions::Bool, evaluate_functions::Bool)
   @ SymbolicRegression.../InterfaceSymbolicUtils.jl ~/SymbolicRegression.jl/src/InterfaceSymbolicUtils.jl:30
 [3] node_to_symbolic(tree::Node, options::Options{Tuple{typeof(+), typeof(*), typeof(/), typeof(-), typeof(pow)}, Tuple{typeof(sqrt_abs)}, L2DistLoss}; varMap::Nothing, evaluate_functions::Bool, index_functions::Bool)
   @ SymbolicRegression.../InterfaceSymbolicUtils.jl ~/SymbolicRegression.jl/src/InterfaceSymbolicUtils.jl:119
 [4] node_to_symbolic(tree::Node, options::Options{Tuple{typeof(+), typeof(*), typeof(/), typeof(-), typeof(pow)}, Tuple{typeof(sqrt_abs)}, L2DistLoss})
   @ SymbolicRegression.../InterfaceSymbolicUtils.jl ~/SymbolicRegression.jl/src/InterfaceSymbolicUtils.jl:119
 [5] top-level scope
   @ REPL[17]:1