Package evaluation to test Qecsim on Julia 1.14.0-DEV.1840 (ab7ba34e40*) started at 2026-03-03T15:53:12.067


################################################################################
# Set-up
#

Installing PkgEval dependencies (TestEnv)...
  Activating project at `~/.julia/environments/v1.14`

Set-up completed after 13.92s


################################################################################
# Installation
#

Installing Qecsim...
   Resolving package versions...
    Updating `~/.julia/environments/v1.14/Project.toml`
  [e6c2bad3] + Qecsim v0.1.0
    Updating `~/.julia/environments/v1.14/Manifest.toml`
  [861a8166] + Combinatorics v1.1.0
  [34da2185] + Compat v4.18.1
  [9a962f9c] + DataAPI v1.16.0
⌅ [864edb3b] + DataStructures v0.18.22
  [ffbed154] + DocStringExtensions v0.9.5
  [92d709cd] + IrrationalConstants v0.2.6
⌅ [682c06a0] + JSON v0.21.4
  [2ab3a3ac] + LogExpFunctions v0.3.29
  [e1d29d7a] + Missings v1.2.0
  [bac558e1] + OrderedCollections v1.8.1
  [69de0a69] + Parsers v2.8.3
  [aea7be01] + PrecompileTools v1.3.3
  [21216c6a] + Preferences v1.5.2
  [e6c2bad3] + Qecsim v0.1.0
  [189a3867] + Reexport v1.2.2
  [a2af1166] + SortingAlgorithms v1.2.2
  [10745b16] + Statistics v1.11.1
  [82ae8749] + StatsAPI v1.8.0
⌅ [2913bbd2] + StatsBase v0.33.21
  [56f22d72] + Artifacts v1.11.0
  [2a0f44e3] + Base64 v1.11.0
  [ade2ca70] + Dates v1.11.0
  [b77e0a4c] + InteractiveUtils v1.11.0
  [ac6e5ff7] + JuliaSyntaxHighlighting v1.13.0
  [8f399da3] + Libdl v1.11.0
  [37e2e46d] + LinearAlgebra v1.13.0
  [d6f4376e] + Markdown v1.11.0
  [a63ad114] + Mmap v1.11.0
  [de0858da] + Printf v1.11.0
  [9a3f8284] + Random v1.11.0
  [ea8e919c] + SHA v1.0.0
  [9e88b42a] + Serialization v1.11.0
  [2f01184e] + SparseArrays v1.13.0
  [f489334b] + StyledStrings v1.13.0
  [fa267f1f] + TOML v1.0.3
  [cf7118a7] + UUIDs v1.11.0
  [4ec0a83e] + Unicode v1.11.0
  [e66e0078] + CompilerSupportLibraries_jll v1.3.0+1
  [4536629a] + OpenBLAS_jll v0.3.30+0
  [bea87d4a] + SuiteSparse_jll v7.10.1+0
  [8e850b90] + libblastrampoline_jll v5.15.0+0
        Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. To see why use `status --outdated -m`

Installation completed after 4.24s


################################################################################
# Precompilation
#

Precompiling PkgEval dependencies...

Precompiling package dependencies...
Precompiling packages...
   3639.8 ms  ✓ Qecsim
  1 dependency successfully precompiled in 5 seconds. 37 already precompiled.

Precompilation completed after 27.73s


################################################################################
# Testing
#

     Testing Qecsim
      Status `/tmp/jl_wtTpf7/Project.toml`
  [861a8166] Combinatorics v1.1.0
⌅ [682c06a0] JSON v0.21.4
  [e6c2bad3] Qecsim v0.1.0
  [189a3867] Reexport v1.2.2
  [1bc83da4] SafeTestsets v0.1.0
  [10745b16] Statistics v1.11.1
⌅ [2913bbd2] StatsBase v0.33.21
  [37e2e46d] LinearAlgebra v1.13.0
  [9a3f8284] Random v1.11.0
  [8dfed614] Test v1.11.0
      Status `/tmp/jl_wtTpf7/Manifest.toml`
  [861a8166] Combinatorics v1.1.0
  [34da2185] Compat v4.18.1
  [9a962f9c] DataAPI v1.16.0
⌅ [864edb3b] DataStructures v0.18.22
  [ffbed154] DocStringExtensions v0.9.5
  [92d709cd] IrrationalConstants v0.2.6
⌅ [682c06a0] JSON v0.21.4
  [2ab3a3ac] LogExpFunctions v0.3.29
  [e1d29d7a] Missings v1.2.0
  [bac558e1] OrderedCollections v1.8.1
  [69de0a69] Parsers v2.8.3
  [aea7be01] PrecompileTools v1.3.3
  [21216c6a] Preferences v1.5.2
  [e6c2bad3] Qecsim v0.1.0
  [189a3867] Reexport v1.2.2
  [1bc83da4] SafeTestsets v0.1.0
  [a2af1166] SortingAlgorithms v1.2.2
  [10745b16] Statistics v1.11.1
  [82ae8749] StatsAPI v1.8.0
⌅ [2913bbd2] StatsBase v0.33.21
  [56f22d72] Artifacts v1.11.0
  [2a0f44e3] Base64 v1.11.0
  [ade2ca70] Dates v1.11.0
  [b77e0a4c] InteractiveUtils v1.11.0
  [ac6e5ff7] JuliaSyntaxHighlighting v1.13.0
  [8f399da3] Libdl v1.11.0
  [37e2e46d] LinearAlgebra v1.13.0
  [56ddb016] Logging v1.11.0
  [d6f4376e] Markdown v1.11.0
  [a63ad114] Mmap v1.11.0
  [de0858da] Printf v1.11.0
  [9a3f8284] Random v1.11.0
  [ea8e919c] SHA v1.0.0
  [9e88b42a] Serialization v1.11.0
  [2f01184e] SparseArrays v1.13.0
  [f489334b] StyledStrings v1.13.0
  [fa267f1f] TOML v1.0.3
  [8dfed614] Test v1.11.0
  [cf7118a7] UUIDs v1.11.0
  [4ec0a83e] Unicode v1.11.0
  [e66e0078] CompilerSupportLibraries_jll v1.3.0+1
  [4536629a] OpenBLAS_jll v0.3.30+0
  [bea87d4a] SuiteSparse_jll v7.10.1+0
  [8e850b90] libblastrampoline_jll v5.15.0+0
        Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading.
     Testing Running tests...
┌ Info: qec_run: starting
│   code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit")
│   error_model = Qecsim.GenericModels.DepolarizingErrorModel()
│   decoder = Qecsim.GenericModels.NaiveDecoder(10)
│   p = 0.25
│   random_seed = nothing
│   max_runs = 1000
└   max_failures = nothing
[ Info: qec_run: rng=Random.MersenneTwister(0x0362e817f1e5af5ccb8148d250c72d3c, 0x64822b24612089724f203ccee936ab84)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.9123999999999922, :time_steps => 1, :n_logical_commutations => [228, 229], :error_weight_total => 1240, :wall_time => 0.513025774, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.248, :measurement_error_probability => 0.0, :error_probability => 0.25, :n_success => 654, :logical_failure_rate => 0.346, :custom_totals => nothing, :code => "5-qubit", :decoder => "Naive", :n_fail => 346, :n_run => 1000)
┌ Info: qec_run: starting
│   code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit")
│   error_model = Qecsim.GenericModels.DepolarizingErrorModel()
│   decoder = Qecsim.GenericModels.NaiveDecoder(10)
│   p = 0.25
│   random_seed = nothing
│   max_runs = 1
└   max_failures = nothing
[ Info: qec_run: rng=Random.MersenneTwister(0xf3f1fc97ffc84cbee85417afe33d5d1d, 0x12a2d5928e6b49526721cfcd3ade20f0)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.0, :time_steps => 1, :n_logical_commutations => [0, 0], :error_weight_total => 0, :wall_time => 0.000211078, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.0, :measurement_error_probability => 0.0, :error_probability => 0.25, :n_success => 1, :logical_failure_rate => 0.0, :custom_totals => nothing, :code => "5-qubit", :decoder => "Naive", :n_fail => 0, :n_run => 1)
┌ Info: qec_run: starting
│   code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit")
│   error_model = Qecsim.GenericModels.DepolarizingErrorModel()
│   decoder = Qecsim.GenericModels.NaiveDecoder(10)
│   p = 0.25
│   random_seed = nothing
│   max_runs = 10
└   max_failures = nothing
[ Info: qec_run: rng=Random.MersenneTwister(0xa1afe57656790f94ab64d7411068263d, 0x29881c9f7fb8a7e72363ad94169c9cff)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.49000000000000005, :time_steps => 1, :n_logical_commutations => [1, 2], :error_weight_total => 11, :wall_time => 0.000415276, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.22000000000000003, :measurement_error_probability => 0.0, :error_probability => 0.25, :n_success => 7, :logical_failure_rate => 0.3, :custom_totals => nothing, :code => "5-qubit", :decoder => "Naive", :n_fail => 3, :n_run => 10)
┌ Info: qec_run: starting
│   code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit")
│   error_model = Qecsim.GenericModels.DepolarizingErrorModel()
│   decoder = Qecsim.GenericModels.NaiveDecoder(10)
│   p = 0.25
│   random_seed = nothing
│   max_runs = nothing
└   max_failures = 2
[ Info: qec_run: rng=Random.MersenneTwister(0x4e1d2d494531cd527d387f98a812d1ec, 0xb03e32a3b7c1db5418a305b4a08aa653)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.25, :time_steps => 1, :n_logical_commutations => [1, 1], :error_weight_total => 6, :wall_time => 0.000389747, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.3, :measurement_error_probability => 0.0, :error_probability => 0.25, :n_success => 2, :logical_failure_rate => 0.5, :custom_totals => nothing, :code => "5-qubit", :decoder => "Naive", :n_fail => 2, :n_run => 4)
┌ Info: qec_run: starting
│   code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit")
│   error_model = Qecsim.GenericModels.DepolarizingErrorModel()
│   decoder = Qecsim.GenericModels.NaiveDecoder(10)
│   p = 0.25
│   random_seed = nothing
│   max_runs = 10
└   max_failures = 3
[ Info: qec_run: rng=Random.MersenneTwister(0x61a538691a72c263120320604f262bac, 0xf6b9ed61a0091f725f2744b878caccc9)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.9135802469135803, :time_steps => 1, :n_logical_commutations => [0, 3], :error_weight_total => 13, :wall_time => 0.000464556, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.2888888888888889, :measurement_error_probability => 0.0, :error_probability => 0.25, :n_success => 6, :logical_failure_rate => 0.3333333333333333, :custom_totals => nothing, :code => "5-qubit", :decoder => "Naive", :n_fail => 3, :n_run => 9)
┌ Info: qec_run: starting
│   code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit")
│   error_model = Qecsim.GenericModels.DepolarizingErrorModel()
│   decoder = Qecsim.GenericModels.NaiveDecoder(10)
│   p = 0.25
│   random_seed = nothing
│   max_runs = 1000
└   max_failures = nothing
[ Info: qec_run: rng=Random.MersenneTwister(0xdc462ac6335310aff179322fd5744bc4, 0xeb18640dcc201e2159788140835a6b1a)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.9594360000000056, :time_steps => 1, :n_logical_commutations => [220, 235], :error_weight_total => 1242, :wall_time => 0.025134546, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.2484, :measurement_error_probability => 0.0, :error_probability => 0.25, :n_success => 662, :logical_failure_rate => 0.338, :custom_totals => nothing, :code => "5-qubit", :decoder => "Naive", :n_fail => 338, :n_run => 1000)
┌ Info: qec_run: starting
│   code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit")
│   error_model = Qecsim.GenericModels.DepolarizingErrorModel()
│   decoder = Qecsim.GenericModels.NaiveDecoder(10)
│   p = 0.25
│   random_seed = nothing
│   max_runs = 1
└   max_failures = nothing
[ Info: qec_run: rng=Random.MersenneTwister(0xd9e601744357420d2bf8ce77efa36ffe, 0x45a209c3f4a365c9df4b5234a289a8c8)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.0, :time_steps => 1, :n_logical_commutations => [0, 0], :error_weight_total => 0, :wall_time => 0.000176899, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.0, :measurement_error_probability => 0.0, :error_probability => 0.25, :n_success => 1, :logical_failure_rate => 0.0, :custom_totals => nothing, :code => "5-qubit", :decoder => "Naive", :n_fail => 0, :n_run => 1)
┌ Info: qec_run: starting
│   code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit")
│   error_model = Qecsim.GenericModels.DepolarizingErrorModel()
│   decoder = Qecsim.GenericModels.NaiveDecoder(10)
│   p = 0.25
│   random_seed = nothing
│   max_runs = 10
└   max_failures = nothing
[ Info: qec_run: rng=Random.MersenneTwister(0x5cf634fe80571dea52d7ac4208c43f87, 0x2498c18130265bf6cecbd1c98051f982)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.48999999999999994, :time_steps => 1, :n_logical_commutations => [2, 1], :error_weight_total => 9, :wall_time => 0.000424626, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.18, :measurement_error_probability => 0.0, :error_probability => 0.25, :n_success => 8, :logical_failure_rate => 0.2, :custom_totals => nothing, :code => "5-qubit", :decoder => "Naive", :n_fail => 2, :n_run => 10)
┌ Info: qec_run: starting
│   code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit")
│   error_model = Qecsim.GenericModels.DepolarizingErrorModel()
│   decoder = Qecsim.GenericModels.NaiveDecoder(10)
│   p = 0.25
│   random_seed = nothing
│   max_runs = nothing
└   max_failures = 2
[ Info: qec_run: rng=Random.MersenneTwister(0x63c4229ab97389cbaf197f474089c1b6, 0x4b8ccefa31ebe1ee72c0810780ae5dae)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 1.388888888888889, :time_steps => 1, :n_logical_commutations => [2, 1], :error_weight_total => 16, :wall_time => 0.000461155, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.26666666666666666, :measurement_error_probability => 0.0, :error_probability => 0.25, :n_success => 10, :logical_failure_rate => 0.16666666666666666, :custom_totals => nothing, :code => "5-qubit", :decoder => "Naive", :n_fail => 2, :n_run => 12)
┌ Info: qec_run: starting
│   code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit")
│   error_model = Qecsim.GenericModels.DepolarizingErrorModel()
│   decoder = Qecsim.GenericModels.NaiveDecoder(10)
│   p = 0.25
│   random_seed = nothing
│   max_runs = 10
└   max_failures = 3
[ Info: qec_run: rng=Random.MersenneTwister(0xecceb733cf75510e5d8c64e4e514cf48, 0x6c063c2bcc3a4835a5dac91ac7ec4565)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 1.2653061224489794, :time_steps => 1, :n_logical_commutations => [3, 2], :error_weight_total => 8, :wall_time => 0.000332707, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.2285714285714286, :measurement_error_probability => 0.0, :error_probability => 0.25, :n_success => 4, :logical_failure_rate => 0.42857142857142855, :custom_totals => nothing, :code => "5-qubit", :decoder => "Naive", :n_fail => 3, :n_run => 7)
┌ Info: qec_run: starting
│   code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit")
│   error_model = Qecsim.GenericModels.DepolarizingErrorModel()
│   decoder = Qecsim.GenericModels.NaiveDecoder(10)
│   p = 0.1
│   random_seed = 13
│   max_runs = 1000
└   max_failures = nothing
[ Info: qec_run: rng=Random.MersenneTwister(0x5410db514147269f83c92808266cc643, 0x74d52d3dced48953f77713e0f592ff81)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.4977440000000004, :time_steps => 1, :n_logical_commutations => [60, 63], :error_weight_total => 516, :wall_time => 0.018297343, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.1032, :measurement_error_probability => 0.0, :error_probability => 0.1, :n_success => 908, :logical_failure_rate => 0.092, :custom_totals => nothing, :code => "5-qubit", :decoder => "Naive", :n_fail => 92, :n_run => 1000)
┌ Info: qec_run: starting
│   code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit")
│   error_model = Qecsim.GenericModels.DepolarizingErrorModel()
│   decoder = Qecsim.GenericModels.NaiveDecoder(10)
│   p = 0.1
│   random_seed = 13
│   max_runs = 1000
└   max_failures = nothing
[ Info: qec_run: rng=Random.MersenneTwister(0x5410db514147269f83c92808266cc643, 0x74d52d3dced48953f77713e0f592ff81)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.4977440000000004, :time_steps => 1, :n_logical_commutations => [60, 63], :error_weight_total => 516, :wall_time => 0.01753142, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.1032, :measurement_error_probability => 0.0, :error_probability => 0.1, :n_success => 908, :logical_failure_rate => 0.092, :custom_totals => nothing, :code => "5-qubit", :decoder => "Naive", :n_fail => 92, :n_run => 1000)
┌ Info: qec_run: starting
│   code = Main.var"##App.jl#153"._DuckCode()
│   error_model = Main.var"##App.jl#153"._DuckErrorModel()
│   decoder = Main.var"##App.jl#153"._DuckDecoder()
│   p = 0.1
│   random_seed = nothing
│   max_runs = 10
└   max_failures = nothing
[ Info: qec_run: rng=Random.MersenneTwister(0x3d68025d483ca1a054c79128021402cc, 0xfe1fab20e6f89deabdf366f272fac995)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.0, :time_steps => 1, :n_logical_commutations => [0, 0], :error_weight_total => 0, :wall_time => 0.000472435, :n_k_d => (5, 1, 3), :error_model => "duck", :physical_error_rate => 0.0, :measurement_error_probability => 0.0, :error_probability => 0.1, :n_success => 10, :logical_failure_rate => 0.0, :custom_totals => nothing, :code => "duck", :decoder => "duck", :n_fail => 0, :n_run => 10)
┌ Info: qec_run: starting
│   code = Main.var"##App.jl#153"._DuckCode()
│   error_model = Main.var"##App.jl#153"._DuckErrorModel()
│   decoder = Qecsim.GenericModels.NaiveDecoder(10)
│   p = 0.1
│   random_seed = nothing
│   max_runs = 10
└   max_failures = nothing
[ Info: qec_run: rng=Random.MersenneTwister(0x015391418dcf726da7bfc34767b7424d, 0x5f9931ade6d35859b88278001292b6bf)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.0, :time_steps => 1, :n_logical_commutations => [0, 0], :error_weight_total => 0, :wall_time => 0.000577434, :n_k_d => (5, 1, 3), :error_model => "duck", :physical_error_rate => 0.0, :measurement_error_probability => 0.0, :error_probability => 0.1, :n_success => 10, :logical_failure_rate => 0.0, :custom_totals => nothing, :code => "duck", :decoder => "Naive", :n_fail => 0, :n_run => 10)
┌ Info: qec_run: starting
│   code = Main.var"##App.jl#153"._DuckCode()
│   error_model = Qecsim.GenericModels.BitFlipErrorModel()
│   decoder = Qecsim.GenericModels.NaiveDecoder(10)
│   p = 0.1
│   random_seed = nothing
│   max_runs = 10
└   max_failures = nothing
[ Info: qec_run: rng=Random.MersenneTwister(0x40dc7c23c7a835051a77312e96b715ca, 0xd2d9d74c9fa89232c4b72b2c2238397d)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.4400000000000001, :time_steps => 1, :n_logical_commutations => [1, 0], :error_weight_total => 4, :wall_time => 0.000834971, :n_k_d => (5, 1, 3), :error_model => "Bit-flip", :physical_error_rate => 0.08, :measurement_error_probability => 0.0, :error_probability => 0.1, :n_success => 9, :logical_failure_rate => 0.1, :custom_totals => nothing, :code => "duck", :decoder => "Naive", :n_fail => 1, :n_run => 10)
┌ Info: qec_run: starting
│   code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit")
│   error_model = Main.var"##App.jl#153"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
│   decoder = Main.var"##App.jl#153"._FixedDecoder(Qecsim.Model.DecodeResult{Nothing}(nothing, Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0], nothing, nothing))
│   p = 0.1
│   random_seed = nothing
│   max_runs = 1
└   max_failures = nothing
[ Info: qec_run: rng=Random.MersenneTwister(0xa831bc7c534685c049170b2b32200c57, 0x14a3165b76f547efaaa15d5967aa5f2e)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.0, :time_steps => 1, :n_logical_commutations => [0, 0], :error_weight_total => 0, :wall_time => 0.000260548, :n_k_d => (5, 1, 3), :error_model => "fixed", :physical_error_rate => 0.0, :measurement_error_probability => 0.0, :error_probability => 0.1, :n_success => 1, :logical_failure_rate => 0.0, :custom_totals => nothing, :code => "5-qubit", :decoder => "fixed", :n_fail => 0, :n_run => 1)
┌ Info: qec_run: starting
│   code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit")
│   error_model = Main.var"##App.jl#153"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
│   decoder = Main.var"##App.jl#153"._FixedDecoder(Qecsim.Model.DecodeResult{Nothing}(nothing, Bool[1, 1, 1, 1, 1, 0, 0, 0, 0, 0], nothing, nothing))
│   p = 0.1
│   random_seed = nothing
│   max_runs = 2
└   max_failures = nothing
[ Info: qec_run: rng=Random.MersenneTwister(0xe4d2040c2e5748351fd1f4e0f6d8f3ca, 0x31fc50971d626e2fc98614f7af8ae152)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.0, :time_steps => 1, :n_logical_commutations => [0, 2], :error_weight_total => 0, :wall_time => 0.000251458, :n_k_d => (5, 1, 3), :error_model => "fixed", :physical_error_rate => 0.0, :measurement_error_probability => 0.0, :error_probability => 0.1, :n_success => 0, :logical_failure_rate => 1.0, :custom_totals => nothing, :code => "5-qubit", :decoder => "fixed", :n_fail => 2, :n_run => 2)
┌ Info: qec_run: starting
│   code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit")
│   error_model = Main.var"##App.jl#153"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
│   decoder = Main.var"##App.jl#153"._FixedDecoder(Qecsim.Model.DecodeResult{Nothing}(nothing, Bool[0, 0, 0, 0, 0, 1, 1, 1, 1, 1], nothing, nothing))
│   p = 0.1
│   random_seed = nothing
│   max_runs = 3
└   max_failures = nothing
[ Info: qec_run: rng=Random.MersenneTwister(0xdb32d892086699f9270c110409094e8f, 0xf419cc3ba5fa6ecf67c7dd5c6d3794c1)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.0, :time_steps => 1, :n_logical_commutations => [3, 0], :error_weight_total => 0, :wall_time => 0.000295447, :n_k_d => (5, 1, 3), :error_model => "fixed", :physical_error_rate => 0.0, :measurement_error_probability => 0.0, :error_probability => 0.1, :n_success => 0, :logical_failure_rate => 1.0, :custom_totals => nothing, :code => "5-qubit", :decoder => "fixed", :n_fail => 3, :n_run => 3)
┌ Info: qec_run: starting
│   code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit")
│   error_model = Main.var"##App.jl#153"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
│   decoder = Main.var"##App.jl#153"._FixedDecoder(Qecsim.Model.DecodeResult{Nothing}(false, Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0], nothing, nothing))
│   p = 0.1
│   random_seed = nothing
│   max_runs = 4
└   max_failures = nothing
[ Info: qec_run: rng=Random.MersenneTwister(0xab7266d1307845e4998a6c2871475cab, 0xfa5b747923b5ba538c8df7737f5e5343)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.0, :time_steps => 1, :n_logical_commutations => [0, 0], :error_weight_total => 0, :wall_time => 0.000374327, :n_k_d => (5, 1, 3), :error_model => "fixed", :physical_error_rate => 0.0, :measurement_error_probability => 0.0, :error_probability => 0.1, :n_success => 0, :logical_failure_rate => 1.0, :custom_totals => nothing, :code => "5-qubit", :decoder => "fixed", :n_fail => 4, :n_run => 4)
┌ Info: qec_run: starting
│   code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit")
│   error_model = Main.var"##App.jl#153"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
│   decoder = Main.var"##App.jl#153"._FixedDecoder(Qecsim.Model.DecodeResult{Nothing}(nothing, Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0], Bool[1, 1], nothing))
│   p = 0.1
│   random_seed = nothing
│   max_runs = 5
└   max_failures = nothing
[ Info: qec_run: rng=Random.MersenneTwister(0x81c2103aac58cfbfdacfe4fa06ad4dd2, 0x0bc1a9dbbe607ffb273d8578d97c9880)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.0, :time_steps => 1, :n_logical_commutations => [5, 5], :error_weight_total => 0, :wall_time => 0.000232878, :n_k_d => (5, 1, 3), :error_model => "fixed", :physical_error_rate => 0.0, :measurement_error_probability => 0.0, :error_probability => 0.1, :n_success => 5, :logical_failure_rate => 0.0, :custom_totals => nothing, :code => "5-qubit", :decoder => "fixed", :n_fail => 0, :n_run => 5)
┌ Info: qec_run: starting
│   code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit")
│   error_model = Main.var"##App.jl#153"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
│   decoder = Main.var"##App.jl#153"._FixedDecoder(Qecsim.Model.DecodeResult{Nothing}(false, Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0], Bool[1, 1], nothing))
│   p = 0.1
│   random_seed = nothing
│   max_runs = 6
└   max_failures = nothing
[ Info: qec_run: rng=Random.MersenneTwister(0x3811230589e2c3b16b08238fe67a1117, 0x819466a97449ac3e43a05528462649d0)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.0, :time_steps => 1, :n_logical_commutations => [6, 6], :error_weight_total => 0, :wall_time => 0.000218378, :n_k_d => (5, 1, 3), :error_model => "fixed", :physical_error_rate => 0.0, :measurement_error_probability => 0.0, :error_probability => 0.1, :n_success => 0, :logical_failure_rate => 1.0, :custom_totals => nothing, :code => "5-qubit", :decoder => "fixed", :n_fail => 6, :n_run => 6)
┌ Info: qec_run: starting
│   code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit")
│   error_model = Main.var"##App.jl#153"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
│   decoder = Main.var"##App.jl#153"._FixedDecoder(Qecsim.Model.DecodeResult{Nothing}(false, nothing, nothing, nothing))
│   p = 0.1
│   random_seed = nothing
│   max_runs = 7
└   max_failures = nothing
[ Info: qec_run: rng=Random.MersenneTwister(0x1189ff8a95efc798c0c0c557843d3304, 0xd7ca1c879f2117d9de0ab6919d2612c6)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.0, :time_steps => 1, :n_logical_commutations => nothing, :error_weight_total => 0, :wall_time => 0.09379907, :n_k_d => (5, 1, 3), :error_model => "fixed", :physical_error_rate => 0.0, :measurement_error_probability => 0.0, :error_probability => 0.1, :n_success => 0, :logical_failure_rate => 1.0, :custom_totals => nothing, :code => "5-qubit", :decoder => "fixed", :n_fail => 7, :n_run => 7)
┌ Info: qec_run: starting
│   code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit")
│   error_model = Main.var"##App.jl#153"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
│   decoder = Main.var"##App.jl#153"._FixedDecoder(Qecsim.Model.DecodeResult{Nothing}(false, nothing, Bool[1, 1], nothing))
│   p = 0.1
│   random_seed = nothing
│   max_runs = 8
└   max_failures = nothing
[ Info: qec_run: rng=Random.MersenneTwister(0x4872e77210a9b217ef2aa9c5c9e05397, 0x7319f0a00f9f90ab0b707333f343ac0d)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.0, :time_steps => 1, :n_logical_commutations => [8, 8], :error_weight_total => 0, :wall_time => 0.000295548, :n_k_d => (5, 1, 3), :error_model => "fixed", :physical_error_rate => 0.0, :measurement_error_probability => 0.0, :error_probability => 0.1, :n_success => 0, :logical_failure_rate => 1.0, :custom_totals => nothing, :code => "5-qubit", :decoder => "fixed", :n_fail => 8, :n_run => 8)
┌ Info: qec_run: starting
│   code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit")
│   error_model = Main.var"##App.jl#153"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
│   decoder = Main.var"##App.jl#153"._FixedDecoder(Qecsim.Model.DecodeResult{Vector{Int64}}(false, nothing, nothing, [1, 1]))
│   p = 0.1
│   random_seed = nothing
│   max_runs = 9
└   max_failures = nothing
[ Info: qec_run: rng=Random.MersenneTwister(0x8b9f57e9b12c6299161782414fe764d0, 0x9193ea7bc7e373f7e2b948de06f07fd3)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.0, :time_steps => 1, :n_logical_commutations => nothing, :error_weight_total => 0, :wall_time => 0.568433513, :n_k_d => (5, 1, 3), :error_model => "fixed", :physical_error_rate => 0.0, :measurement_error_probability => 0.0, :error_probability => 0.1, :n_success => 0, :logical_failure_rate => 1.0, :custom_totals => [9, 9], :code => "5-qubit", :decoder => "fixed", :n_fail => 9, :n_run => 9)
┌ Info: qec_run: starting
│   code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit")
│   error_model = Main.var"##App.jl#153"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
│   decoder = Main.var"##App.jl#153"._FixedDecoder(Qecsim.Model.DecodeResult{Vector{Float64}}(false, nothing, nothing, [1.0, 1.0]))
│   p = 0.1
│   random_seed = nothing
│   max_runs = 10
└   max_failures = nothing
[ Info: qec_run: rng=Random.MersenneTwister(0x88e361ef66ff8a50758ddc38925fd259, 0xf0c1f9eadc5d02c3cbe10b08ad1ab3ce)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.0, :time_steps => 1, :n_logical_commutations => nothing, :error_weight_total => 0, :wall_time => 0.586512737, :n_k_d => (5, 1, 3), :error_model => "fixed", :physical_error_rate => 0.0, :measurement_error_probability => 0.0, :error_probability => 0.1, :n_success => 0, :logical_failure_rate => 1.0, :custom_totals => [10.0, 10.0], :code => "5-qubit", :decoder => "fixed", :n_fail => 10, :n_run => 10)
┌ Info: qec_run: starting
│   code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit")
│   error_model = Main.var"##App.jl#153"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
│   decoder = Main.var"##App.jl#153"._FixedDecoder(Qecsim.Model.DecodeResult{Vector{Rational{Int64}}}(false, nothing, nothing, Rational{Int64}[1//2, 1//3]))
│   p = 0.1
│   random_seed = nothing
│   max_runs = 11
└   max_failures = nothing
[ Info: qec_run: rng=Random.MersenneTwister(0x378a909113893a605670a5cddbe440b8, 0xb04438dbda4b2a43fdaeb8dfaec11a11)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.0, :time_steps => 1, :n_logical_commutations => nothing, :error_weight_total => 0, :wall_time => 0.518989492, :n_k_d => (5, 1, 3), :error_model => "fixed", :physical_error_rate => 0.0, :measurement_error_probability => 0.0, :error_probability => 0.1, :n_success => 0, :logical_failure_rate => 1.0, :custom_totals => Rational{Int64}[11//2, 11//3], :code => "5-qubit", :decoder => "fixed", :n_fail => 11, :n_run => 11)
┌ Info: qec_run: starting
│   code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit")
│   error_model = Main.var"##App.jl#153"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
│   decoder = Main.var"##App.jl#153"._CycleDecoder(Base.Iterators.Stateful{Base.Iterators.Cycle{Vector{Qecsim.Model.DecodeResult{Vector{Int64}}}}, Union{Nothing, Tuple{Qecsim.Model.DecodeResult{Vector{Int64}}, Int64}}}(Base.Iterators.Cycle{Vector{Qecsim.Model.DecodeResult{Vector{Int64}}}}(Qecsim.Model.DecodeResult{Vector{Int64}}[Qecsim.Model.DecodeResult{Vector{Int64}}(false, nothing, nothing, [1, 1]), Qecsim.Model.DecodeResult{Vector{Int64}}(true, nothing, nothing, [2, 3])]), (Qecsim.Model.DecodeResult{Vector{Int64}}(false, nothing, nothing, [1, 1]), 2)))
│   p = 0.1
│   random_seed = nothing
│   max_runs = 12
└   max_failures = nothing
[ Info: qec_run: rng=Random.MersenneTwister(0xdbd236f286f74990102ca02b53215f1e, 0xa1120b6727db5665b47ebb86e4237518)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.0, :time_steps => 1, :n_logical_commutations => nothing, :error_weight_total => 0, :wall_time => 0.087872837, :n_k_d => (5, 1, 3), :error_model => "fixed", :physical_error_rate => 0.0, :measurement_error_probability => 0.0, :error_probability => 0.1, :n_success => 6, :logical_failure_rate => 0.5, :custom_totals => [18, 24], :code => "5-qubit", :decoder => "cycle", :n_fail => 6, :n_run => 12)
┌ Info: qec_run: starting
│   code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit")
│   error_model = Main.var"##App.jl#153"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
│   decoder = Main.var"##App.jl#153"._CycleDecoder(Base.Iterators.Stateful{Base.Iterators.Cycle{Vector{Qecsim.Model.DecodeResult{Vector{Any}}}}, Union{Nothing, Tuple{Qecsim.Model.DecodeResult{Vector{Any}}, Int64}}}(Base.Iterators.Cycle{Vector{Qecsim.Model.DecodeResult{Vector{Any}}}}(Qecsim.Model.DecodeResult{Vector{Any}}[Qecsim.Model.DecodeResult{Vector{Any}}(false, nothing, nothing, Any[1, [1.0]]), Qecsim.Model.DecodeResult{Vector{Any}}(true, nothing, nothing, Any[2, [3.0]])]), (Qecsim.Model.DecodeResult{Vector{Any}}(false, nothing, nothing, Any[1, [1.0]]), 2)))
│   p = 0.1
│   random_seed = nothing
│   max_runs = 2
└   max_failures = nothing
[ Info: qec_run: rng=Random.MersenneTwister(0x2dc257fe69dcd06c9a19901c1cd93282, 0xac2581133bb661f4ccd002b8c9dc548e)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.0, :time_steps => 1, :n_logical_commutations => nothing, :error_weight_total => 0, :wall_time => 0.678544833, :n_k_d => (5, 1, 3), :error_model => "fixed", :physical_error_rate => 0.0, :measurement_error_probability => 0.0, :error_probability => 0.1, :n_success => 1, :logical_failure_rate => 0.5, :custom_totals => Any[3, [1.0, 3.0]], :code => "5-qubit", :decoder => "cycle", :n_fail => 1, :n_run => 2)
┌ Info: qec_run: starting
│   code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit")
│   error_model = Main.var"##App.jl#153"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
│   decoder = Main.var"##App.jl#153"._CycleDecoder(Base.Iterators.Stateful{Base.Iterators.Cycle{Vector{Qecsim.Model.DecodeResult{Vector{Any}}}}, Union{Nothing, Tuple{Qecsim.Model.DecodeResult{Vector{Any}}, Int64}}}(Base.Iterators.Cycle{Vector{Qecsim.Model.DecodeResult{Vector{Any}}}}(Qecsim.Model.DecodeResult{Vector{Any}}[Qecsim.Model.DecodeResult{Vector{Any}}(false, nothing, nothing, Any[1, [1 2]]), Qecsim.Model.DecodeResult{Vector{Any}}(true, nothing, nothing, Any[2, [3 4]])]), (Qecsim.Model.DecodeResult{Vector{Any}}(false, nothing, nothing, Any[1, [1 2]]), 2)))
│   p = 0.1
│   random_seed = nothing
│   max_runs = 2
└   max_failures = nothing
[ Info: qec_run: rng=Random.MersenneTwister(0x469f060313aa53836d3c2dd81b19bfcd, 0x88eaa721cc24241443fdbef027723bba)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.0, :time_steps => 1, :n_logical_commutations => nothing, :error_weight_total => 0, :wall_time => 0.276667484, :n_k_d => (5, 1, 3), :error_model => "fixed", :physical_error_rate => 0.0, :measurement_error_probability => 0.0, :error_probability => 0.1, :n_success => 1, :logical_failure_rate => 0.5, :custom_totals => Any[3, [1 2; 3 4]], :code => "5-qubit", :decoder => "cycle", :n_fail => 1, :n_run => 2)
┌ Info: qec_run: starting
│   code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit")
│   error_model = Main.var"##App.jl#153"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
│   decoder = Main.var"##App.jl#153"._CycleDecoder(Base.Iterators.Stateful{Base.Iterators.Cycle{Vector{Qecsim.Model.DecodeResult{Nothing}}}, Union{Nothing, Tuple{Qecsim.Model.DecodeResult{Nothing}, Int64}}}(Base.Iterators.Cycle{Vector{Qecsim.Model.DecodeResult{Nothing}}}(Qecsim.Model.DecodeResult{Nothing}[Qecsim.Model.DecodeResult{Nothing}(true, nothing, nothing, nothing), Qecsim.Model.DecodeResult{Nothing}(true, nothing, Bool[1, 0], nothing)]), (Qecsim.Model.DecodeResult{Nothing}(true, nothing, nothing, nothing), 2)))
│   p = 0.1
│   random_seed = nothing
│   max_runs = 5
└   max_failures = nothing
[ Info: qec_run: rng=Random.MersenneTwister(0xcf70a3d23728011671e634db1e101b68, 0xfd24a12210bd7c59a9dcf86f53f46eba)
┌ Info: qec_run: starting
│   code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit")
│   error_model = Main.var"##App.jl#153"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
│   decoder = Main.var"##App.jl#153"._CycleDecoder(Base.Iterators.Stateful{Base.Iterators.Cycle{Vector{Qecsim.Model.DecodeResult{Nothing}}}, Union{Nothing, Tuple{Qecsim.Model.DecodeResult{Nothing}, Int64}}}(Base.Iterators.Cycle{Vector{Qecsim.Model.DecodeResult{Nothing}}}(Qecsim.Model.DecodeResult{Nothing}[Qecsim.Model.DecodeResult{Nothing}(true, nothing, Bool[1, 1, 0], nothing), Qecsim.Model.DecodeResult{Nothing}(true, nothing, Bool[1, 0], nothing)]), (Qecsim.Model.DecodeResult{Nothing}(true, nothing, Bool[1, 1, 0], nothing), 2)))
│   p = 0.1
│   random_seed = nothing
│   max_runs = 5
└   max_failures = nothing
[ Info: qec_run: rng=Random.MersenneTwister(0x25d4bdbac94108f8b83bcb14be4287cf, 0xa9d704061226f0eb899792458f31f4ba)
┌ Info: qec_run: starting
│   code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit")
│   error_model = Main.var"##App.jl#153"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
│   decoder = Main.var"##App.jl#153"._CycleDecoder(Base.Iterators.Stateful{Base.Iterators.Cycle{Vector{Qecsim.Model.DecodeResult}}, Union{Nothing, Tuple{Qecsim.Model.DecodeResult, Int64}}}(Base.Iterators.Cycle{Vector{Qecsim.Model.DecodeResult}}(Qecsim.Model.DecodeResult[Qecsim.Model.DecodeResult{Vector{Int64}}(true, nothing, nothing, [1, 0]), Qecsim.Model.DecodeResult{Vector{Float64}}(true, nothing, nothing, [1.1, 0.1])]), (Qecsim.Model.DecodeResult{Vector{Int64}}(true, nothing, nothing, [1, 0]), 2)))
│   p = 0.1
│   random_seed = nothing
│   max_runs = 5
└   max_failures = nothing
[ Info: qec_run: rng=Random.MersenneTwister(0x34f637f76a50c1ea39cd82391b59e3e9, 0xf1d7cddf7ae81664eb3bb64ba6871159)
┌ Info: qec_run: starting
│   code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit")
│   error_model = Qecsim.GenericModels.DepolarizingErrorModel()
│   decoder = Qecsim.GenericModels.NaiveDecoder(10)
│   p = 0.2
│   random_seed = nothing
│   max_runs = 10
└   max_failures = nothing
[ Info: qec_run: rng=Random.MersenneTwister(0xbc3a7fb2df2d028cfd772f19a4b84750, 0x7285413ecf55a8f77e95e10464ab2e9a)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.49000000000000005, :time_steps => 1, :n_logical_commutations => [2, 0], :error_weight_total => 9, :wall_time => 0.000514655, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.18, :measurement_error_probability => 0.0, :error_probability => 0.2, :n_success => 8, :logical_failure_rate => 0.2, :custom_totals => nothing, :code => "5-qubit", :decoder => "Naive", :n_fail => 2, :n_run => 10)
┌ Info: qec_run: starting
│   code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit")
│   error_model = Qecsim.GenericModels.DepolarizingErrorModel()
│   decoder = Qecsim.GenericModels.NaiveDecoder(10)
│   p = 0.2
│   random_seed = nothing
│   max_runs = 10
└   max_failures = nothing
[ Info: qec_run: rng=Random.MersenneTwister(0x516b33fddcda8b5e7a7c203d1fb0011b, 0x68913eba88aedf00976d64dbece61277)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.44000000000000006, :time_steps => 1, :n_logical_commutations => [0, 1], :error_weight_total => 6, :wall_time => 0.000497935, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.12, :measurement_error_probability => 0.0, :error_probability => 0.2, :n_success => 9, :logical_failure_rate => 0.1, :custom_totals => nothing, :code => "5-qubit", :decoder => "Naive", :n_fail => 1, :n_run => 10)
┌ Info: qec_run: starting
│   code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit")
│   error_model = Qecsim.GenericModels.DepolarizingErrorModel()
│   decoder = Qecsim.GenericModels.NaiveDecoder(10)
│   p = 0.1
│   random_seed = nothing
│   max_runs = 10
└   max_failures = nothing
[ Info: qec_run: rng=Random.MersenneTwister(0x98e4e529edf99529e7923caaf92ce153, 0x3e7aa167b2ffc50ce8ef159b79bc281f)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.9600000000000002, :time_steps => 1, :n_logical_commutations => [1, 1], :error_weight_total => 8, :wall_time => 0.000321837, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.16, :measurement_error_probability => 0.0, :error_probability => 0.1, :n_success => 9, :logical_failure_rate => 0.1, :custom_totals => nothing, :code => "5-qubit", :decoder => "Naive", :n_fail => 1, :n_run => 10)
┌ Info: qec_run: starting
│   code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit")
│   error_model = Qecsim.GenericModels.DepolarizingErrorModel()
│   decoder = Qecsim.GenericModels.NaiveDecoder(10)
│   p = 0.2
│   random_seed = nothing
│   max_runs = 10
└   max_failures = nothing
[ Info: qec_run: rng=Random.MersenneTwister(0x47370ca4e5b4e4c988c0732dd80e70e1, 0x553019a8f9b44bb6b1fad4824f24d0a0)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.6900000000000002, :time_steps => 1, :n_logical_commutations => [1, 1], :error_weight_total => 11, :wall_time => 0.000339366, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.22000000000000003, :measurement_error_probability => 0.0, :error_probability => 0.2, :n_success => 9, :logical_failure_rate => 0.1, :custom_totals => nothing, :code => "5-qubit", :decoder => "Naive", :n_fail => 1, :n_run => 10)
┌ Info: qec_run: starting
│   code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit")
│   error_model = Qecsim.GenericModels.BitFlipErrorModel()
│   decoder = Qecsim.GenericModels.NaiveDecoder(10)
│   p = 0.1
│   random_seed = nothing
│   max_runs = 10
└   max_failures = nothing
[ Info: qec_run: rng=Random.MersenneTwister(0xd2c2c87cf08ce69eb593be5567ada33e, 0xd2e3c543646ac600d9ecebcdfde0a358)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.09000000000000001, :time_steps => 1, :n_logical_commutations => [0, 0], :error_weight_total => 1, :wall_time => 0.015698307, :n_k_d => (5, 1, 3), :error_model => "Bit-flip", :physical_error_rate => 0.02, :measurement_error_probability => 0.0, :error_probability => 0.1, :n_success => 10, :logical_failure_rate => 0.0, :custom_totals => nothing, :code => "5-qubit", :decoder => "Naive", :n_fail => 0, :n_run => 10)
┌ Info: qec_run: starting
│   code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit")
│   error_model = Qecsim.GenericModels.DepolarizingErrorModel()
│   decoder = Main.var"##App.jl#153"._CycleDecoder(Base.Iterators.Stateful{Base.Iterators.Cycle{Vector{Qecsim.Model.DecodeResult{Vector{Any}}}}, Union{Nothing, Tuple{Qecsim.Model.DecodeResult{Vector{Any}}, Int64}}}(Base.Iterators.Cycle{Vector{Qecsim.Model.DecodeResult{Vector{Any}}}}(Qecsim.Model.DecodeResult{Vector{Any}}[Qecsim.Model.DecodeResult{Vector{Any}}(false, nothing, nothing, Any[1, [1]]), Qecsim.Model.DecodeResult{Vector{Any}}(true, nothing, nothing, Any[2, [3]])]), (Qecsim.Model.DecodeResult{Vector{Any}}(false, nothing, nothing, Any[1, [1]]), 2)))
│   p = 0.2
│   random_seed = nothing
│   max_runs = 3
└   max_failures = nothing
[ Info: qec_run: rng=Random.MersenneTwister(0x4e917324e94c4f92a1ce56b3fb463e3e, 0x6125558a2d85b57059bf281579a6db57)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.6666666666666666, :time_steps => 1, :n_logical_commutations => nothing, :error_weight_total => 3, :wall_time => 0.031498994, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.19999999999999998, :measurement_error_probability => 0.0, :error_probability => 0.2, :n_success => 1, :logical_failure_rate => 0.6666666666666666, :custom_totals => Any[4, [1, 3, 1]], :code => "5-qubit", :decoder => "cycle", :n_fail => 2, :n_run => 3)
┌ Info: qec_run: starting
│   code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit")
│   error_model = Qecsim.GenericModels.DepolarizingErrorModel()
│   decoder = Main.var"##App.jl#153"._CycleDecoder(Base.Iterators.Stateful{Base.Iterators.Cycle{Vector{Qecsim.Model.DecodeResult{Vector{Any}}}}, Union{Nothing, Tuple{Qecsim.Model.DecodeResult{Vector{Any}}, Int64}}}(Base.Iterators.Cycle{Vector{Qecsim.Model.DecodeResult{Vector{Any}}}}(Qecsim.Model.DecodeResult{Vector{Any}}[Qecsim.Model.DecodeResult{Vector{Any}}(false, nothing, nothing, Any[1, [1]]), Qecsim.Model.DecodeResult{Vector{Any}}(true, nothing, nothing, Any[2, [3]])]), (Qecsim.Model.DecodeResult{Vector{Any}}(true, nothing, nothing, Any[2, [3]]), 3)))
│   p = 0.2
│   random_seed = nothing
│   max_runs = 3
└   max_failures = nothing
[ Info: qec_run: rng=Random.MersenneTwister(0x70c5f7b3062afb85275edc2748534272, 0xf872f5f476cc5d1367bff3b21c835f0a)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.6666666666666666, :time_steps => 1, :n_logical_commutations => nothing, :error_weight_total => 3, :wall_time => 0.000292277, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.19999999999999998, :measurement_error_probability => 0.0, :error_probability => 0.2, :n_success => 2, :logical_failure_rate => 0.3333333333333333, :custom_totals => Any[5, [3, 1, 3]], :code => "5-qubit", :decoder => "cycle", :n_fail => 1, :n_run => 3)
┌ Info: qec_run: starting
│   code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit")
│   error_model = Qecsim.GenericModels.DepolarizingErrorModel()
│   decoder = Qecsim.GenericModels.NaiveDecoder(10)
│   p = 0.08
│   random_seed = nothing
│   max_runs = 10
└   max_failures = nothing
[ Info: qec_run: rng=Random.MersenneTwister(0xeb84ec3668f012b48bb61ff6284f5f1e, 0x756354adb2f88949458b3fc94a296c88)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.20999999999999996, :time_steps => 1, :n_logical_commutations => [0, 0], :error_weight_total => 3, :wall_time => 0.000465846, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.06, :measurement_error_probability => 0.0, :error_probability => 0.08, :n_success => 10, :logical_failure_rate => 0.0, :custom_totals => nothing, :code => "5-qubit", :decoder => "Naive", :n_fail => 0, :n_run => 10)
┌ Info: qec_run: starting
│   code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit")
│   error_model = Qecsim.GenericModels.DepolarizingErrorModel()
│   decoder = Qecsim.GenericModels.NaiveDecoder(10)
│   p = 0.1
│   random_seed = nothing
│   max_runs = 10
└   max_failures = nothing
[ Info: qec_run: rng=Random.MersenneTwister(0x72d95fb4ec4a2b3c05884fa0a60bf804, 0xbd27bba8ea98843aca1fb0182ae6266b)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.7600000000000001, :time_steps => 1, :n_logical_commutations => [2, 2], :error_weight_total => 8, :wall_time => 0.000394126, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.16, :measurement_error_probability => 0.0, :error_probability => 0.1, :n_success => 7, :logical_failure_rate => 0.3, :custom_totals => nothing, :code => "5-qubit", :decoder => "Naive", :n_fail => 3, :n_run => 10)
┌ Info: qec_run: starting
│   code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit")
│   error_model = Qecsim.GenericModels.BitFlipErrorModel()
│   decoder = Qecsim.GenericModels.NaiveDecoder(10)
│   p = 0.1
│   random_seed = nothing
│   max_runs = 10
└   max_failures = nothing
[ Info: qec_run: rng=Random.MersenneTwister(0x76bc56e1f3c2842dc5beea8b5ffc2444, 0xa588c25859a74894360d9f4110c991ba)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.21000000000000002, :time_steps => 1, :n_logical_commutations => [0, 0], :error_weight_total => 3, :wall_time => 0.000446806, :n_k_d => (5, 1, 3), :error_model => "Bit-flip", :physical_error_rate => 0.06, :measurement_error_probability => 0.0, :error_probability => 0.1, :n_success => 10, :logical_failure_rate => 0.0, :custom_totals => nothing, :code => "5-qubit", :decoder => "Naive", :n_fail => 0, :n_run => 10)
┌ Error: Recovered data: [{"error_weight_pvar":0.21000000000000002},{"time_steps":1},{"n_logical_commutations":[0,0]},{"error_weight_total":3},{"wall_time":0.000446806},{"n_k_d":[5,1,3]},{"error_model":"Bit-flip"},{"physical_error_rate":0.06},{"measurement_error_probability":0.0},{"error_probability":0.1},{"n_success":10},{"logical_failure_rate":0.0},{"custom_totals":null},{"code":"5-qubit"},{"decoder":"Naive"},{"n_fail":0},{"n_run":10}]
└ @ Qecsim.App ~/.julia/packages/Qecsim/e9K2S/src/App.jl:423
┌ Info: qec_run: starting
│   code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit")
│   error_model = Qecsim.GenericModels.BitFlipErrorModel()
│   decoder = Qecsim.GenericModels.NaiveDecoder(10)
│   p = 0.1
│   random_seed = nothing
│   max_runs = 10
└   max_failures = nothing
[ Info: qec_run: rng=Random.MersenneTwister(0xd4f6c8de0a9bb21199f0788cb3ce7090, 0xcaed3f6d793de0ef09ad148a610fb767)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.20999999999999996, :time_steps => 1, :n_logical_commutations => [0, 0], :error_weight_total => 3, :wall_time => 0.000410076, :n_k_d => (5, 1, 3), :error_model => "Bit-flip", :physical_error_rate => 0.06, :measurement_error_probability => 0.0, :error_probability => 0.1, :n_success => 10, :logical_failure_rate => 0.0, :custom_totals => nothing, :code => "5-qubit", :decoder => "Naive", :n_fail => 0, :n_run => 10)
Test Summary:                              | Pass  Total     Time
Qecsim.jl                                  |  241    241  1m27.4s
  error.jl                                 |    3      3     4.3s
  PauliTools.jl                            |   43     43    13.8s
  Model.jl                                 |   21     21     3.7s
  models/BasicModels.jl                    |   13     13     0.6s
  models/GenericModels/simpleerrormodel.jl |   44     44    10.8s
  models/GenericModels/naivedecoder.jl     |   16     16     3.0s
  App.jl                                   |  101    101    51.1s
     Testing Qecsim tests passed 

Testing completed after 96.09s

PkgEval succeeded after 153.62s