|
| 1 | +""" |
| 2 | + GrB_apply(C, Mask, accum, op, A, desc) |
| 3 | +
|
| 4 | +Generic matrix/vector apply. |
| 5 | +""" |
| 6 | +function GrB_apply( # w<mask> = accum (w, op(u)) |
| 7 | + C::X, # input/output vector for results |
| 8 | + Mask::T, # optional mask for w, unused if NULL |
| 9 | + accum::U, # optional accum for z=accum(w,t) |
| 10 | + op::GrB_UnaryOp, # operator to apply to the entries |
| 11 | + A::X, # first input: vector u |
| 12 | + desc::V # descriptor for w and mask |
| 13 | +) where {X <: Union{GrB_Vector, GrB_Matrix}, T <: Union{GrB_Vector, GrB_Matrix, GrB_NULL_Type}, U <: valid_accum_types, V <: valid_desc_types} |
| 14 | + |
| 15 | + fn_name = "GrB_" * get_struct_name(C) * "_apply" |
| 16 | + |
| 17 | + return GrB_Info( |
| 18 | + ccall( |
| 19 | + dlsym(graphblas_lib, fn_name), |
| 20 | + Cint, |
| 21 | + (Ptr{Cvoid}, Ptr{Cvoid}, Ptr{Cvoid}, Ptr{Cvoid}, Ptr{Cvoid}, Ptr{Cvoid}), |
| 22 | + C.p, Mask.p, accum.p, op.p, A.p, desc.p |
| 23 | + ) |
| 24 | + ) |
| 25 | +end |
| 26 | + |
| 27 | +""" |
| 28 | + GrB_Vector_apply(w, mask, accum, op, u, desc) |
| 29 | +
|
| 30 | +Compute the transformation of the values of the elements of a vector using a unary function. |
| 31 | +
|
| 32 | +# Examples |
| 33 | +```jldoctest |
| 34 | +julia> using SuiteSparseGraphBLAS |
| 35 | +
|
| 36 | +julia> GrB_init(GrB_NONBLOCKING) |
| 37 | +GrB_SUCCESS::GrB_Info = 0 |
| 38 | +
|
| 39 | +julia> u = GrB_Vector{Int64}() |
| 40 | +GrB_Vector{Int64} |
| 41 | +
|
| 42 | +julia> GrB_Vector_new(u, GrB_INT64, 3) |
| 43 | +GrB_SUCCESS::GrB_Info = 0 |
| 44 | +
|
| 45 | +julia> I = [0, 2]; X = [10, 20]; n = 2; |
| 46 | +
|
| 47 | +julia> GrB_Vector_build(u, I, X, n, GrB_FIRST_INT64) |
| 48 | +GrB_SUCCESS::GrB_Info = 0 |
| 49 | +
|
| 50 | +julia> w = GrB_Vector{Int64}() |
| 51 | +GrB_Vector{Int64} |
| 52 | +
|
| 53 | +julia> GrB_Vector_new(w, GrB_INT64, 3) |
| 54 | +GrB_SUCCESS::GrB_Info = 0 |
| 55 | +
|
| 56 | +julia> GrB_Vector_apply(w, GrB_NULL, GrB_NULL, GrB_AINV_INT64, u, GrB_NULL) |
| 57 | +GrB_SUCCESS::GrB_Info = 0 |
| 58 | +
|
| 59 | +julia> @GxB_fprint(w, GxB_COMPLETE) |
| 60 | +
|
| 61 | +GraphBLAS vector: w |
| 62 | +nrows: 3 ncols: 1 max # entries: 2 |
| 63 | +format: standard CSC vlen: 3 nvec_nonempty: 1 nvec: 1 plen: 1 vdim: 1 |
| 64 | +hyper_ratio 0.0625 |
| 65 | +GraphBLAS type: int64_t size: 8 |
| 66 | +number of entries: 2 |
| 67 | +column: 0 : 2 entries [0:1] |
| 68 | + row 0: int64 -10 |
| 69 | + row 2: int64 -20 |
| 70 | +
|
| 71 | +``` |
| 72 | +""" |
| 73 | +function GrB_Vector_apply( # w<mask> = accum (w, op(u)) |
| 74 | + w::GrB_Vector, # input/output vector for results |
| 75 | + mask::T, # optional mask for w, unused if NULL |
| 76 | + accum::U, # optional accum for z=accum(w,t) |
| 77 | + op::GrB_UnaryOp, # operator to apply to the entries |
| 78 | + u::GrB_Vector, # first input: vector u |
| 79 | + desc::V # descriptor for w and mask |
| 80 | +) where {T <: valid_vector_mask_types, U <: valid_accum_types, V <: valid_desc_types} |
| 81 | + |
| 82 | + return GrB_Info( |
| 83 | + ccall( |
| 84 | + dlsym(graphblas_lib, "GrB_Vector_apply"), |
| 85 | + Cint, |
| 86 | + (Ptr{Cvoid}, Ptr{Cvoid}, Ptr{Cvoid}, Ptr{Cvoid}, Ptr{Cvoid}, Ptr{Cvoid}), |
| 87 | + w.p, mask.p, accum.p, op.p, u.p, desc.p |
| 88 | + ) |
| 89 | + ) |
| 90 | +end |
| 91 | + |
| 92 | +""" |
| 93 | + GrB_Matrix_apply(C, Mask, accum, op, A, desc) |
| 94 | +
|
| 95 | +Compute the transformation of the values of the elements of a matrix using a unary function. |
| 96 | +
|
| 97 | +# Examples |
| 98 | +```jldoctest |
| 99 | +julia> using SuiteSparseGraphBLAS |
| 100 | +
|
| 101 | +julia> GrB_init(GrB_NONBLOCKING) |
| 102 | +GrB_SUCCESS::GrB_Info = 0 |
| 103 | +
|
| 104 | +julia> A = GrB_Matrix{Int64}() |
| 105 | +GrB_Matrix{Int64} |
| 106 | +
|
| 107 | +julia> GrB_Matrix_new(A, GrB_INT64, 2, 2) |
| 108 | +GrB_SUCCESS::GrB_Info = 0 |
| 109 | +
|
| 110 | +julia> I = [0, 0, 1]; J = [0, 1, 1]; X = [10, 20, 30]; n = 3; |
| 111 | +
|
| 112 | +julia> GrB_Matrix_build(A, I, J, X, n, GrB_FIRST_INT64) |
| 113 | +GrB_SUCCESS::GrB_Info = 0 |
| 114 | +
|
| 115 | +julia> B = GrB_Matrix{Int64}() |
| 116 | +GrB_Matrix{Int64} |
| 117 | +
|
| 118 | +julia> GrB_Matrix_new(B, GrB_INT64, 2, 2) |
| 119 | +GrB_SUCCESS::GrB_Info = 0 |
| 120 | +
|
| 121 | +julia> GrB_Matrix_apply(B, GrB_NULL, GrB_NULL, GrB_AINV_INT64, A, GrB_NULL) |
| 122 | +GrB_SUCCESS::GrB_Info = 0 |
| 123 | +
|
| 124 | +julia> @GxB_fprint(B, GxB_COMPLETE) |
| 125 | +
|
| 126 | +GraphBLAS matrix: B |
| 127 | +nrows: 2 ncols: 2 max # entries: 3 |
| 128 | +format: standard CSR vlen: 2 nvec_nonempty: 2 nvec: 2 plen: 2 vdim: 2 |
| 129 | +hyper_ratio 0.0625 |
| 130 | +GraphBLAS type: int64_t size: 8 |
| 131 | +number of entries: 3 |
| 132 | +row: 0 : 2 entries [0:1] |
| 133 | + column 0: int64 -10 |
| 134 | + column 1: int64 -20 |
| 135 | +row: 1 : 1 entries [2:2] |
| 136 | + column 1: int64 -30 |
| 137 | +
|
| 138 | +``` |
| 139 | +""" |
| 140 | +function GrB_Matrix_apply( # C<Mask> = accum (C, op(A)) or op(A') |
| 141 | + C::GrB_Matrix, # input/output matrix for results |
| 142 | + Mask::T, # optional mask for C, unused if NULL |
| 143 | + accum::U, # optional accum for Z=accum(C,T) |
| 144 | + op::GrB_UnaryOp, # operator to apply to the entries |
| 145 | + A::GrB_Matrix, # first input: matrix A |
| 146 | + desc::V # descriptor for C, mask, and A |
| 147 | +) where {T <: valid_matrix_mask_types, U <: valid_accum_types, V <: valid_desc_types} |
| 148 | + |
| 149 | + return GrB_Info( |
| 150 | + ccall( |
| 151 | + dlsym(graphblas_lib, "GrB_Matrix_apply"), |
| 152 | + Cint, |
| 153 | + (Ptr{Cvoid}, Ptr{Cvoid}, Ptr{Cvoid}, Ptr{Cvoid}, Ptr{Cvoid}, Ptr{Cvoid}), |
| 154 | + C.p, Mask.p, accum.p, op.p, A.p, desc.p |
| 155 | + ) |
| 156 | + ) |
| 157 | +end |
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