Merge pull request #967 from JuliaSymbolics/s/fix-warn

Fix warning caused by DynamicPolynomials load
JuliaSymbolics · Sep 6, 2023 · 5aa4ea2 · 5aa4ea2 · shashi · Sep 6, 2023
2 parents 76dafc4 + 5256ed7
commit 5aa4ea2
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diff --git a/Project.toml b/Project.toml
@@ -1,7 +1,7 @@
 name = "Symbolics"
 uuid = "0c5d862f-8b57-4792-8d23-62f2024744c7"
 authors = ["Shashi Gowda <[email protected]>"]
-version = "5.5.2"
+version = "5.5.3"
 
 [deps]
 ArrayInterface = "4fba245c-0d91-5ea0-9b3e-6abc04ee57a9"

diff --git a/src/groebner_basis.jl b/src/groebner_basis.jl
@@ -1,4 +1,4 @@
-using DynamicPolynomials
+import DynamicPolynomials
 using Bijections
 
 const DP = DynamicPolynomials
@@ -30,7 +30,7 @@ function symbol_to_poly(sympolys::AbstractArray)
     # Convert all to DP.Polynomial, so that coefficients are of same type,
     # and constants are treated as polynomials
     # We also need this because Groebner does not support abstract types as input
-    polynoms = Vector{DP.Polynomial{DP.Commutative{DP.CreationOrder}, Graded{LexOrder}, commontype}}(undef, length(sympolys))
+    polynoms = Vector{DP.Polynomial{DP.Commutative{DP.CreationOrder}, DP.Graded{DP.LexOrder}, commontype}}(undef, length(sympolys))
     for (i, pf) in enumerate(polyforms)
         polynoms[i] = underlyingpoly(pf)
     end