Comments (5)
SimpleWeightedGraphs is going to suffer major breakage soon with 0.7 anyway since our unsafe view will cause segfaults.
from simpleweightedgraphs.jl.
hm. I can't reproduce this in the latest master:
julia> g = SimpleWeightedDiGraph(3)
{3, 0} directed simple Int64 graph with Float64 weights
julia> inneighbors(g, 3)
0-element Array{Int64,1}
from simpleweightedgraphs.jl.
@simonschoelly - can you test the latest master on 1.0 for performance? I want to make sure we don't have any regressions.
from simpleweightedgraphs.jl.
I think the reason for that error was, that you had code of the form
mat = g.weights'
mat.rowval
which does now work because mat
is of type Adjoint
. Now you are doing
mat = SparseMatrixCSC(g.weight')
mat.rowval
which does work. The tests for the latest master pass on 1.0. Is that what you mean by performance?
from simpleweightedgraphs.jl.
I'm going to close this out because it's fixed in master.
from simpleweightedgraphs.jl.
Related Issues (20)
- Doubling the weights of self-edges HOT 3
- Cartesian products are not extended to SimpleWeightedGraphs HOT 3
- `ne` fails to count the correct number of self-edges HOT 3
- Potential problem with Pagerank for SimpleWeightedDiGraphs
- Removing an edge just sets the edge weight to 0 HOT 4
- gplot(::SimpleWeightedGraph) not working HOT 4
- Support for complex weights HOT 2
- Weighted `degree` HOT 16
- Inconsistent adjacency matrix for weighted and unweighted graphs HOT 1
- No weighted node functionality? HOT 2
- Error: Non symmetric matrices created by repeated pairs HOT 2
- Ambiguity error on pagerank HOT 3
- Register v1.1.1 HOT 6
- transitiveclosure not supported HOT 3
- Why G.weights is the transpose of adjacent_matrix(G) HOT 7
- Neighbors related functions give wrong result after `rem_edge!` because it just set edge weight to 0 HOT 8
- Direction of edges inverted when going from `SimpleWeightedDiGraph` to `SimpleDiGraph` HOT 2
- distance calculation with a_star fails with SimpleWeightedGraph and SimpleWeightedDiGraph HOT 1
- updating docs: get_weight(graph, src, dst) returns weight of an edge
- biconnected_components HOT 1
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from simpleweightedgraphs.jl.