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fix warning of MakieExt weight_plot
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+15
-13
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7 files changed

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-13
lines changed

‎docs/Project.toml‎

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[deps]
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BinaryProvider = "b99e7846-7c00-51b0-8f62-c81ae34c0232"
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BenchmarkTools = "6e4b80f9-dd63-53aa-95a3-0cdb28fa8baf"
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BinaryProvider = "b99e7846-7c00-51b0-8f62-c81ae34c0232"
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CairoMakie = "13f3f980-e62b-5c42-98c6-ff1f3baf88f0"
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Combinatorics = "861a8166-3701-5b0c-9a16-15d98fcdc6aa"
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CodingTheory = "7ca085cf-10e4-43da-ad7d-8f62f68877b3"
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DataStructures = "864edb3b-99cc-5e75-8d2d-829cb0a9cfe8"
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Distributions = "31c24e10-a181-5473-b8eb-7969acd0382f"
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Documenter = "e30172f5-a6a5-5a46-863b-614d45cd2de4"
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DocStringExtensions = "ffbed154-4ef7-542d-bbb7-c09d3a79fcae"
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DocumenterCitations = "daee34ce-89f3-4625-b898-19384cb65244"
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Hecke = "3e1990a7-5d81-5526-99ce-9ba3ff248f21"
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LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"

‎ext/MakieExt/Classical/Tanner.jl‎

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@@ -5,7 +5,7 @@
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# LICENSE file in the root directory of this source tree.
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"""
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Tanner_graph_plot(H::Union{CTMatrixTypes, Matrix{Int}})
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$TYPEDSIGNATURES
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Return the Tanner graph of the matrix `H` as a `Figure` object.
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‎ext/MakieExt/Classical/weight_dist.jl‎

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#############################
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"""
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weight_plot(C::AbstractLinearCode; alg::Symbol = :auto)
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$TYPEDSIGNATURES
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Return a bar graph of the weight distribution of `C`.
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‎ext/MakieExt/LDPC/analysis.jl‎

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#############################
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"""
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EXIT_chart_plot(E::LDPCEnsemble, Ch::AbstractClassicalNoiseChannel; tol::Float64 = 1e-9)
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$TYPEDSIGNATURES
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Return a plot of the EXIT chart for the ensemble given the channel up to a numerical tolerance of `tol`.
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‎ext/MakieExt/LDPC/codes.jl‎

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#############################
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"""
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degree_distributions_plot(C::AbstractLDPCCode)
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$TYPEDSIGNATURES
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Return a bar plot of the column and row degree distributions of `C`.
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@@ -44,7 +44,7 @@ function CodingTheory.degree_distributions_plot(C::AbstractLDPCCode)
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end
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"""
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count_short_cycles_plot(C::AbstractLDPCCode)
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$TYPEDSIGNATURES
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Return a bar graph and a dictionary of (length, count) pairs for unique short
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cycles in the Tanner graph of `C`. An empty graph and dictionary are returned
@@ -82,7 +82,7 @@ function CodingTheory.count_short_cycles_plot(C::AbstractLDPCCode)
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end
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"""
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count_elementary_cycles_plot(C::AbstractLDPCCode)
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$TYPEDSIGNATURES
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Return a bar graph and a dictionary of (length, count) pairs for unique elementary
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cycles in the Tanner graph of `C`. An empty graph and dictionary are returned
@@ -120,7 +120,7 @@ function CodingTheory.count_elementary_cycles_plot(C::AbstractLDPCCode)
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end
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"""
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ACE_spectrum(C::AbstractLDPCCode)
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$TYPEDSIGNATURES
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Return an interactive figure and data for the ACE spectrum of the Tanner graph of `C`.
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@@ -171,7 +171,7 @@ end
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# doesn't seem to be a point in making this dynamic with a slider, as it simply
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# continues in the same tree shape and no useful information is gained from watching it
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"""
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computation_graph(C::AbstractLDPCCode, lvl::Int, v::Int, v_type::Symbol=:v)
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$TYPEDSIGNATURES
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Return a figure representing the expansion of the Tanner graph of `C` to level `lvl`
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for node `v`. If `v_type` is `:v`, `v` is interpreted as a variable node; otherwise,

‎ext/MakieExt/Quantum/weight_dist.jl‎

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#############################
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"""
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weight_plot(S::AbstractStabilizerCode; alg::Symbol = :auto, type::Symbol = :stabilizer)
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$TYPEDSIGNATURES
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Return a bar graph of the weight distribution related to `S`.
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@@ -49,7 +49,7 @@ function CodingTheory.weight_plot(S::AbstractStabilizerCode; alg::Symbol = :auto
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end
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"""
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weight_plot_CSS_X(S::AbstractStabilizerCodeCSS; alg::Symbol = :auto)
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$TYPEDSIGNATURES
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Return a bar graph of the weight distribution of the `X` stabilizers.
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@@ -73,7 +73,7 @@ function CodingTheory.weight_plot_CSS_X(S::AbstractStabilizerCodeCSS; alg::Symbo
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end
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"""
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weight_plot_CSS_Z(S::AbstractStabilizerCodeCSS; alg::Symbol = :auto)
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$TYPEDSIGNATURES
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Return a bar graph of the weight distribution of the `Z` stabilizers.
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end
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"""
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weight_plot_CSS(S::AbstractStabilizerCodeCSS; alg::Symbol = :auto)
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$TYPEDSIGNATURES
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Return bar graphs of the weight distribution of both the `X` and 'Z' stabilizers, separately.
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‎src/Quantum/misc_known_codes.jl‎

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@@ -181,6 +181,7 @@ function BravyiBaconShorCode(A::CTMatrixTypes)
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# but this is corrected here to match
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# X - consequetive column pairs
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X_gauges = zero_matrix(F, sum([col_wts[i] - 1 for i in 1:length(col_wts)]), n)
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typeof(X_gauges)
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curr_row = 1
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F_one = F(1)
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for c in 1:nc

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