mirror of
https://github.com/JuliaFEM/JuliaFEM.jl.git
synced 2026-09-23 02:59:52 +00:00
feat(basis): Update generator for parametric Lagrange{T,P} architecture
- Changed create_basis() signature from (name, desc, X, ...) to (topology_type, poly_degree, desc, X, ...)
- Generator now produces methods for Lagrange{Segment,1}, Lagrange{Triangle,1}, etc.
- Added ELEMENT_TO_LAGRANGE mapping dict (old names → topology_type + poly_degree)
- Fixed reference coordinates to return tuples instead of vectors
- Removed struct definitions (now use parametric Lagrange{T,P} type)
- Removed Base.size(), Base.length() methods (use nnodes() instead)
- Fixed typo: 'antsatz' → 'ansatz'
All 15 element types regenerate successfully:
Segment (1,2), Triangle (1,2), Quadrilateral (1,2,2), Tetrahedron (1,2),
Hexahedron (1,2,2), Pyramid (1), Wedge (1,2)
Tests pass for all element types.
This commit is contained in:
@@ -222,23 +222,23 @@ function calculate_interpolation_polynomial_derivatives(basis, D)
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return dbasis
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end
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function create_basis(name, description, X::Vector{<:Vecish{D}}, p::Expr) where D
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@debug "create basis given antsatz polynomial" name description X p
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function create_basis(topology_type::Symbol, polynomial_degree::Int, description, X::Vector{<:Vecish{D}}, p::Expr) where D
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@debug "create basis given ansatz polynomial" topology_type polynomial_degree description X p
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V = vandermonde_matrix(p, X)
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basis = calculate_interpolation_polynomials(p, V)
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return create_basis(name, description, X, basis)
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return create_basis(topology_type, polynomial_degree, description, X, basis)
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end
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function create_basis(name, description, X::Vector{<:Vecish{D}}, basis::Vector) where D
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function create_basis(topology_type::Symbol, polynomial_degree::Int, description, X::Vector{<:Vecish{D}}, basis::Vector) where D
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@assert length(X) == length(basis)
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@debug "create basis given basis functions" name description X basis
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@debug "create basis given basis functions" topology_type polynomial_degree description X basis
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dbasis = calculate_interpolation_polynomial_derivatives(basis, D)
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return create_basis(name, description, Vec.(X), basis, dbasis)
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return create_basis(topology_type, polynomial_degree, description, Vec.(X), basis, dbasis)
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end
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function create_basis(name, description, X::Vector{<:Vecish{D,T}}, basis, dbasis) where {D,T}
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function create_basis(topology_type::Symbol, polynomial_degree::Int, description, X::Vector{<:Vecish{D,T}}, basis, dbasis) where {D,T}
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N = length(X)
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@debug "create basis given basis functions and derivatives" name description X basis dbasis
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@debug "create basis given basis functions and derivatives" topology_type polynomial_degree description X basis dbasis
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# Build tuple expression for eval_basis! return: (N1, N2, N3, ...)
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basis_tuple_args = [basis[i] for i = 1:N]
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@@ -247,6 +247,10 @@ function create_basis(name, description, X::Vector{<:Vecish{D,T}}, basis, dbasis
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# Build tuple expression for eval_dbasis! return: (dN1, dN2, dN3, ...)
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dbasis_tuple_args = [:(Vec(float.(tuple($(dbasis[:, i]...))))) for i = 1:N]
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dbasis_tuple = Expr(:tuple, dbasis_tuple_args...)
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# Build tuple expression for reference coordinates: (Vec(...), Vec(...), ...)
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coord_tuple_args = [:(Vec{$D,$T}(tuple($(X[i]...)))) for i = 1:N]
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coord_tuple = Expr(:tuple, coord_tuple_args...)
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if D == 1
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unpack = :((u,) = xi)
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@@ -256,35 +260,35 @@ function create_basis(name, description, X::Vector{<:Vecish{D,T}}, basis, dbasis
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unpack = :((u, v, w) = xi)
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end
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# Generate code for Lagrange{Topology, P} instead of TopologyBasis
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code = quote
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struct $name <: AbstractBasis{$D}
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# $description
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function get_reference_element_coordinates(::Type{Lagrange{$topology_type,$polynomial_degree}})
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return $coord_tuple
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end
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Base.@pure function Base.size(::Type{$name})
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return ($D, $N)
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end
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function Base.size(::Type{$name}, j::Int)
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j == 1 && return $D
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j == 2 && return $N
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end
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Base.@pure function Base.length(::Type{$name})
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return $N
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end
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function get_reference_element_coordinates(::Type{$name})
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return $X
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function get_reference_element_coordinates(::Lagrange{$topology_type,$polynomial_degree})
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return $coord_tuple
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end
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# Return tuple directly - zero allocations!
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@inline function eval_basis!(::Type{$name}, ::Type{T}, xi::Vec) where T
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@inline function eval_basis!(::Type{Lagrange{$topology_type,$polynomial_degree}}, ::Type{T}, xi::Vec) where T
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$unpack
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@inbounds return $basis_tuple
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end
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@inline function eval_basis!(::Lagrange{$topology_type,$polynomial_degree}, ::Type{T}, xi::Vec) where T
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$unpack
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@inbounds return $basis_tuple
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end
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# Return NTuple{N,Vec{D}} directly - zero allocations!
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@inline function eval_dbasis!(::Type{$name}, xi::Vec)
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@inline function eval_dbasis!(::Type{Lagrange{$topology_type,$polynomial_degree}}, xi::Vec)
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$unpack
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@inbounds return $dbasis_tuple
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end
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@inline function eval_dbasis!(::Lagrange{$topology_type,$polynomial_degree}, xi::Vec)
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$unpack
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@inbounds return $dbasis_tuple
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end
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@@ -294,6 +298,26 @@ end
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create_basis_and_eval(args...) = eval(create_basis(args...))
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# Mapping from old element names to (topology_type, polynomial_degree)
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# This allows the generator to use the new parametric Lagrange{T,P} system
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const ELEMENT_TO_LAGRANGE = Dict{String, Tuple{Symbol, Int}}(
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"Seg2" => (:Segment, 1),
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"Seg3" => (:Segment, 2),
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"Tri3" => (:Triangle, 1),
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"Tri6" => (:Triangle, 2),
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"Quad4" => (:Quadrilateral, 1),
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"Quad8" => (:Quadrilateral, 2), # Serendipity, special case
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"Quad9" => (:Quadrilateral, 2),
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"Tet4" => (:Tetrahedron, 1),
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"Tet10" => (:Tetrahedron, 2),
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"Hex8" => (:Hexahedron, 1),
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"Hex20" => (:Hexahedron, 2), # Serendipity, special case
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"Hex27" => (:Hexahedron, 2),
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"Pyr5" => (:Pyramid, 1),
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"Wedge6" => (:Wedge, 1),
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"Wedge15" => (:Wedge, 2), # Serendipity, special case
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)
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# ==============================================================================
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# GENERATION SCRIPT - Run as: julia --project=. src/basis/lagrange_generator.jl
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# ==============================================================================
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@@ -755,16 +779,27 @@ if abspath(PROGRAM_FILE) == @__FILE__
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println(output, "# ============================================================================")
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println(output)
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# Export all basis types
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basis_names = [Symbol(elem.name * "Basis") for elem in elements]
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println(output, "# Export all basis types")
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println(output, "export ", join(string.(basis_names), ", "))
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# No exports needed - we generate methods for the parametric Lagrange{T,P} type
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println(output, "# This file generates methods for Lagrange{T,P} where:")
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println(output, "# T = topology type (Segment, Triangle, Quadrilateral, etc.)")
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println(output, "# P = polynomial degree (1, 2, 3, ...)")
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println(output, "#")
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println(output, "# Example: Lagrange{Triangle, 2} is a quadratic triangular element")
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println(output)
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for (i, elem) in enumerate(elements)
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println("[$i/$(length(elements))] Generating $(elem.name)...")
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try
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# Map old element name to (topology_type, polynomial_degree)
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if !haskey(ELEMENT_TO_LAGRANGE, elem.name)
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println(" ⚠ Warning: $(elem.name) not in ELEMENT_TO_LAGRANGE mapping")
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println(" Skipping...")
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continue
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end
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topology_type, poly_degree = ELEMENT_TO_LAGRANGE[elem.name]
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# Convert coordinates to proper format (tuples, not vectors)
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coords = [tuple(coord...) for coord in elem.coordinates]
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@@ -776,10 +811,10 @@ if abspath(PROGRAM_FILE) == @__FILE__
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end
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# Generate basis code using symbolic engine
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# APPEND "Basis" SUFFIX to resolve name conflicts with topology types
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basis_type_name = Symbol(elem.name * "Basis")
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# Now generates methods for Lagrange{topology_type, poly_degree}
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basis_code_expr = create_basis(
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basis_type_name,
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topology_type,
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poly_degree,
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elem.description,
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coords,
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ansatz_expr
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@@ -798,7 +833,8 @@ if abspath(PROGRAM_FILE) == @__FILE__
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# Write to output with nice formatting
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println(output, "# " * "─"^78)
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println(output, "# $(elem.name): $(elem.description)")
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println(output, "# Lagrange{$(topology_type), $(poly_degree)}: $(elem.description)")
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println(output, "# (Old name: $(elem.name))")
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println(output, "# " * "─"^78)
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println(output)
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println(output, basis_code_str)
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