Simplify comparison

.github/workflows/ci.yml

@@ -20,6 +20,9 @@ jobs:
           - version: '1.6'
             os: ubuntu-latest
             arch: x64
+          - version: '1.10'
+            os: ubuntu-latest
+            arch: x64
           - version: '1'
             os: ubuntu-latest
             arch: x86
@@ -28,7 +31,7 @@ jobs:
             arch: x64
     steps:
       - uses: actions/checkout@v4
-      - uses: julia-actions/setup-julia@v1
+      - uses: julia-actions/setup-julia@v2
         with:
           version: ${{ matrix.version }}
           arch: ${{ matrix.arch }}

docs/src/types.md

@@ -40,6 +40,7 @@ powers
 constant_monomial
 map_exponents
 multiplication_preserves_monomial_order
+promote_variables
 ```
 
 ### Ordering

src/comparison.jl

@@ -249,12 +249,27 @@
     same_degree_ordering::O
 end
 
-_deg(exponents) = sum(exponents)
-_deg(mono::AbstractMonomial) = degree(mono)
-
-function compare(a, b, ::Type{Graded{O}}) where {O}
-    deg_a = _deg(a)
-    deg_b = _deg(b)
+function compare(
+    a::_TupleOrVector,
+    b::_TupleOrVector,
+    ::Type{Graded{O}},
+) where {O}
+    deg_a = sum(a)
+    deg_b = sum(b)
+    if deg_a == deg_b
+        return compare(a, b, O)
+    else
+        return deg_a - deg_b
+    end
+end
+# TODO Backward compat, remove
+function compare(
+    a::AbstractMonomial,
+    b::AbstractMonomial,
+    ::Type{Graded{O}},
+) where {O}
+    deg_a = degree(a)
+    deg_b = degree(b)
     if deg_a == deg_b
         return compare(a, b, O)
     else
@@ -284,7 +299,21 @@
     reverse_ordering::O
 end
 
-compare(a, b, ::Type{Reverse{O}}) where {O} = compare(b, a, O)
+function compare(
+    a::_TupleOrVector,
+    b::_TupleOrVector,
+    ::Type{Reverse{O}},
+) where {O}
+    return compare(b, a, O)
+end
+# TODO Backward compat, remove
+function compare(
+    a::AbstractMonomial,
+    b::AbstractMonomial,
+    ::Type{Reverse{O}},
+) where {O}
+    return compare(b, a, O)
+end
 
 """
     ordering(p::AbstractPolynomialLike)
@@ -293,6 +322,62 @@
 """
 function ordering end
 
+ordering(::Type{<:AbstractMonomial}) = Graded{LexOrder}
+ordering(::Type{P}) where {P} = ordering(monomial_type(P))
+ordering(p::AbstractPolynomialLike) = ordering(typeof(p))
+
+# We reverse the order of comparisons here so that the result
+# of x < y is equal to the result of Monomial(x) < Monomial(y)
+# Without `Base.@pure`, TypedPolynomials allocates on Julia v1.6
+# with `promote(x * y, x)`
+Base.@pure function compare(
+    v1::AbstractVariable,
+    v2::AbstractVariable,
+    ::Type{<:AbstractMonomialOrdering},
+)
+    return -cmp(name(v1), name(v2))
+end
+
+function compare(
+    m1::AbstractMonomial,
+    m2::AbstractMonomial,
+    ::Type{O},
+) where {O<:AbstractMonomialOrdering}
+    s1, s2 = promote_variables(m1, m2)
+    return compare(exponents(s1), exponents(s2), O)
+end
+
+# Implement this to make coefficients be compared with terms.
+function _cmp_coefficient(a::Real, b::Real)
+    return cmp(a, b)
+end
+function _cmp_coefficient(a::Number, b::Number)
+    return cmp(abs(a), abs(b))
+end
+# By default, coefficients are not comparable so `a` is not strictly
+# less than `b`, they are considered sort of equal.
+_cmp_coefficient(a, b) = 0
+
+function compare(
+    t1::AbstractTermLike,
+    t2::AbstractTermLike,
+    ::Type{O},
+) where {O<:AbstractMonomialOrdering}
+    Δ = compare(monomial(t1), monomial(t2), O)
+    if iszero(Δ)
+        return _cmp_coefficient(coefficient(t1), coefficient(t2))
+    end
+    return Δ
+end
+
+function Base.cmp(t1::AbstractTermLike, t2::AbstractTermLike)
+    return compare(t1, t2, ordering(t1))
+end
+# TODO for backward compat, remove in next breaking release
+compare(t1::AbstractTermLike, t2::AbstractTermLike) = cmp(t1, t2)
+
+Base.isless(t1::AbstractTermLike, t2::AbstractTermLike) = cmp(t1, t2) < 0
+
 _last_lex_index(n, ::Type{LexOrder}) = n
 _prev_lex_index(i, ::Type{LexOrder}) = i - 1
 _not_first_indices(n, ::Type{LexOrder}) = n:-1:2

src/default_polynomial.jl

@@ -93,7 +93,7 @@ Base.one(p::Polynomial) = one(typeof(p))
 Base.zero(::Type{Polynomial{C,T,A}}) where {C,T,A} = Polynomial{C,T,A}(A())
 Base.zero(t::Polynomial) = zero(typeof(t))
 
-compare_monomials(a, b) = compare(monomial(a), monomial(b))
+compare_monomials(a, b) = cmp(monomial(a), monomial(b))
 
 function join_terms(
     terms1::AbstractArray{<:Term},

src/operators.jl

@@ -1,33 +1,3 @@
-# We reverse the order of comparisons here so that the result
-# of x < y is equal to the result of Monomial(x) < Monomial(y)
-Base.@pure function Base.isless(v1::AbstractVariable, v2::AbstractVariable)
-    return name(v1) > name(v2)
-end
-function Base.isless(m1::AbstractTermLike, m2::AbstractTermLike)
-    return isless(promote(m1, m2)...)
-end
-
-# Implement this to make coefficients be compared with terms.
-function isless_coefficient(a::Real, b::Real)
-    return a < b
-end
-function isless_coefficient(a::Number, b::Number)
-    return abs(a) < abs(b)
-end
-# By default, coefficients are not comparable so `a` is not strictly
-# less than `b`, they are considered sort of equal.
-isless_coefficient(a, b) = false
-
-function Base.isless(t1::AbstractTerm, t2::AbstractTerm)
-    if monomial(t1) < monomial(t2)
-        return true
-    elseif monomial(t1) == monomial(t2)
-        return isless_coefficient(coefficient(t1), coefficient(t2))
-    else
-        return false
-    end
-end
-
 # promoting multiplication is not a good idea
 # For example a polynomial of Float64 * a polynomial of JuMP affine expression
 # is a polynomial of JuMP affine expression but if we promote it would be a

src/promote.jl

@@ -1,3 +1,10 @@
+"""
+    promote_variables(p::AbstractPolynomialLike, q::AbstractPolynomialLike)
+
+Return two polynomials over the same variables.
+"""
+function promote_variables end
+
 # MonomialLike
 Base.promote_rule(::Type{M}, ::Type{M}) where {M<:AbstractMonomialLike} = M
 function Base.promote_rule(

test/commutative/comparison.jl

@@ -146,31 +146,21 @@
         grlex = Graded{lex}
         rinvlex = Reverse{InverseLexOrder}
         grevlex = Graded{rinvlex}
-        @test MP.compare([1, 0, 1], [1, 1, 0], grlex) == -1
-        @test MP.compare([1, 1, 0], [1, 0, 1], grlex) == 1
         Mod.@polyvar x y z
         # [CLO13, p. 58]
-        @test MP.compare(1:3, [3, 2, 0], lex) < 0
-        @test MP.compare(1:3, [3, 2, 0], grlex) > 0
-        @test MP.compare(1:3, [3, 2, 0], rinvlex) < 0
-        @test MP.compare(1:3, [3, 2, 0], grevlex) > 0
-        @test MP.compare([1, 2, 4], [1, 1, 5], lex) > 0
-        @test MP.compare([1, 2, 4], [1, 1, 5], grlex) > 0
-        @test MP.compare([1, 2, 4], [1, 1, 5], rinvlex) > 0
-        @test MP.compare([1, 2, 4], [1, 1, 5], grevlex) > 0
-        @test MP.compare(x * y^2 * z^3, x^3 * y^2, lex) < 0
-        @test MP.compare(x * y^2 * z^3, x^3 * y^2, grlex) > 0
-        @test MP.compare(x * y^2 * z^3, x^3 * y^2, rinvlex) < 0
-        @test MP.compare(x * y^2 * z^3, x^3 * y^2, grevlex) > 0
-        @test MP.compare(x * y^2 * z^4, x * y * z^5, lex) > 0
-        @test MP.compare(x * y^2 * z^4, x * y * z^5, grlex) > 0
-        @test MP.compare(x * y^2 * z^4, x * y * z^5, rinvlex) > 0
-        @test MP.compare(x * y^2 * z^4, x * y * z^5, grevlex) > 0
+        @test compare(x * y^2 * z^3, x^3 * y^2, lex) < 0
+        @test compare(x * y^2 * z^3, x^3 * y^2, grlex) > 0
+        @test compare(x * y^2 * z^3, x^3 * y^2, rinvlex) < 0
+        @test compare(x * y^2 * z^3, x^3 * y^2, grevlex) > 0
+        @test compare(x * y^2 * z^4, x * y * z^5, lex) > 0
+        @test compare(x * y^2 * z^4, x * y * z^5, grlex) > 0
+        @test compare(x * y^2 * z^4, x * y * z^5, rinvlex) > 0
+        @test compare(x * y^2 * z^4, x * y * z^5, grevlex) > 0
         # [CLO13, p. 59]
-        @test MP.compare(x^5 * y * z, x^4 * y * z^2, lex) > 0
-        @test MP.compare(x^5 * y * z, x^4 * y * z^2, grlex) > 0
-        @test MP.compare(x^5 * y * z, x^4 * y * z^2, rinvlex) > 0
-        @test MP.compare(x^5 * y * z, x^4 * y * z^2, grevlex) > 0
+        @test compare(x^5 * y * z, x^4 * y * z^2, lex) > 0
+        @test compare(x^5 * y * z, x^4 * y * z^2, grlex) > 0
+        @test compare(x^5 * y * z, x^4 * y * z^2, rinvlex) > 0
+        @test compare(x^5 * y * z, x^4 * y * z^2, grevlex) > 0
         # [CLO13] Cox, D., Little, J., & OShea, D.
         # *Ideals, varieties, and algorithms: an introduction to computational algebraic geometry and commutative algebra*.
         # Springer Science & Business Media, **2013**.