Package evaluation to test Qecsim on Julia 1.14.0-DEV.1601 (79ea5eb99c*) started at 2026-01-24T12:32:18.212


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

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

Set-up completed after 9.76s


################################################################################
# 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 v1.5.1
  [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 v0.3.29+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 To see why use `status --outdated -m`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 4.01s


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

Precompiling PkgEval dependencies...

Precompiling package dependencies...
Precompiling packages...
   3614.8 ms  ✓ Qecsim
  1 dependency successfully precompiled in 5 seconds. 37 already precompiled.

Precompilation completed after 21.74s


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

     Testing Qecsim
      Status `/tmp/jl_hyNCnF/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_hyNCnF/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 v1.5.1
  [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 v0.3.29+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...
┌ Warning: The call to compilecache failed to create a usable precompiled cache file for Qecsim [e6c2bad3-a74c-45bb-aaa0-aff4e9ffa0d7]
│   exception = Required dependency Base.PkgId(Base.UUID("21216c6a-2e73-6563-6e65-726566657250"), "Preferences") failed to load from a cache file.
└ @ Base loading.jl:2949
┌ 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(0x4ac463962eee1588cc95f18a49201990, 0x8075d6f1d7230f9440a580dbe434a323)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.9425590000000008, :time_steps => 1, :n_logical_commutations => [229, 216], :error_weight_total => 1229, :wall_time => 0.448431595, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.24580000000000002, :measurement_error_probability => 0.0, :error_probability => 0.25, :n_success => 664, :logical_failure_rate => 0.336, :custom_totals => nothing, :code => "5-qubit", :decoder => "Naive", :n_fail => 336, :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(0x18298fbe30b28030ee2f0f1f324d35e2, 0x3761f828c4627632036816ca64961c94)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.0, :time_steps => 1, :n_logical_commutations => [0, 1], :error_weight_total => 2, :wall_time => 0.000286368, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.4, :measurement_error_probability => 0.0, :error_probability => 0.25, :n_success => 0, :logical_failure_rate => 1.0, :custom_totals => nothing, :code => "5-qubit", :decoder => "Naive", :n_fail => 1, :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(0x475fd0ab7329d4ffb473955973eab4c0, 0x55c696f986d04f08c8f697f6cd1b880f)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.8100000000000002, :time_steps => 1, :n_logical_commutations => [2, 3], :error_weight_total => 13, :wall_time => 0.000440196, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.26, :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(0x5c3fd340f4aa57dda08fe627190986a8, 0xde4f6653ad4e4d1d1c9c246e52547550)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.46222222222222226, :time_steps => 1, :n_logical_commutations => [0, 2], :error_weight_total => 11, :wall_time => 0.000539515, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.14666666666666667, :measurement_error_probability => 0.0, :error_probability => 0.25, :n_success => 13, :logical_failure_rate => 0.13333333333333333, :custom_totals => nothing, :code => "5-qubit", :decoder => "Naive", :n_fail => 2, :n_run => 15)
┌ 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(0x260d732afbcb3402e2cda295a00fa895, 0xd320bb95e4f2906b8356c26fa4e3987c)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.75, :time_steps => 1, :n_logical_commutations => [1, 3], :error_weight_total => 6, :wall_time => 0.000317437, :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 => 1, :logical_failure_rate => 0.75, :custom_totals => nothing, :code => "5-qubit", :decoder => "Naive", :n_fail => 3, :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 = 1000
└   max_failures = nothing
[ Info: qec_run: rng=Random.MersenneTwister(0x35c017894d478a263b3dfb716981abce, 0x0e8cfc3af833e6a1c6691bbc132fbefb)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.8828789999999994, :time_steps => 1, :n_logical_commutations => [246, 231], :error_weight_total => 1261, :wall_time => 0.020634144, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.2522, :measurement_error_probability => 0.0, :error_probability => 0.25, :n_success => 646, :logical_failure_rate => 0.354, :custom_totals => nothing, :code => "5-qubit", :decoder => "Naive", :n_fail => 354, :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(0x9e22ead7a212e8022dbcb98c0012177c, 0xfd622014da133cd137ddc4d08b215845)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.0, :time_steps => 1, :n_logical_commutations => [0, 0], :error_weight_total => 1, :wall_time => 0.000276627, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.2, :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(0xea8909ceed3ff2614f6dc3aaead654e9, 0x8d03273404f93bcbca6f060195cdabfa)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 1.81, :time_steps => 1, :n_logical_commutations => [3, 3], :error_weight_total => 17, :wall_time => 0.000518075, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.33999999999999997, :measurement_error_probability => 0.0, :error_probability => 0.25, :n_success => 5, :logical_failure_rate => 0.5, :custom_totals => nothing, :code => "5-qubit", :decoder => "Naive", :n_fail => 5, :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(0x9c79a64e58bd84d759976e226060860d, 0x02d886bdbd6ce11d789b38af89a9b713)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 2.6666666666666665, :time_steps => 1, :n_logical_commutations => [1, 2], :error_weight_total => 6, :wall_time => 0.000318777, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.39999999999999997, :measurement_error_probability => 0.0, :error_probability => 0.25, :n_success => 1, :logical_failure_rate => 0.6666666666666666, :custom_totals => nothing, :code => "5-qubit", :decoder => "Naive", :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 = Qecsim.GenericModels.NaiveDecoder(10)
│   p = 0.25
│   random_seed = nothing
│   max_runs = 10
└   max_failures = 3
[ Info: qec_run: rng=Random.MersenneTwister(0x21fe6f17ede3265d9f20977ce5f87525, 0x3edaec1b36a0ba44c45be0ead598dde1)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.64, :time_steps => 1, :n_logical_commutations => [0, 3], :error_weight_total => 7, :wall_time => 0.000301767, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.27999999999999997, :measurement_error_probability => 0.0, :error_probability => 0.25, :n_success => 2, :logical_failure_rate => 0.6, :custom_totals => nothing, :code => "5-qubit", :decoder => "Naive", :n_fail => 3, :n_run => 5)
┌ 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 => 0.4977439999999994, :time_steps => 1, :n_logical_commutations => [60, 63], :error_weight_total => 516, :wall_time => 0.015916009, :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 => 0.4977439999999994, :time_steps => 1, :n_logical_commutations => [60, 63], :error_weight_total => 516, :wall_time => 0.015578221, :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(0x5bbc462b4fc802a0168b40706a8fd8c4, 0x0c1a9dc49a2fb12ca93249ae3812e72f)
[ 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 => 0.000461045, :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(0x90d7c14e1d91a11d7362643e409e7dd3, 0x1895ce8dff4dbe86f3dcb980730b937b)
[ 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 => 0.000582785, :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(0x13976f85779c3a0e5f20a5a6afb6a5ac, 0xcf5faa623063d5f4b850007f9e252479)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.24000000000000005, :time_steps => 1, :n_logical_commutations => [0, 0], :error_weight_total => 4, :wall_time => 0.000917172, :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 => 10, :logical_failure_rate => 0.0, :custom_totals => nothing, :code => "duck", :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 = 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(0xe6eebf34560837705693b86b90063242, 0x117741e6d193e8a37f8cb9f30f5be2d3)
[ 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 => 0.000232388, :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(0xcff9231d878c2d2d64f7e7c2d51c47b7, 0xbf693ba8c886eb60a2ce1554021d800c)
[ 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 => 0.000307527, :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(0xe62a0b6be0d87a315ac05fca41a93033, 0xb09b9dc28303566845cb33067bacb413)
[ 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 => 0.000188278, :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(0xaade8225643bd42b59dd853dc118e995, 0x2eab2e96626d3c778c3dd7dc7964241a)
[ 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 => 0.000318937, :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(0x164db7b4ad825cc46296600a3247d3d6, 0x1964205f4216be666922cdfbcfe0c05d)
[ 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 => 0.000222588, :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(0x8c138c38deaa92ad8408dc357ade5f57, 0xb0d43e710281cab173b8e3fbcc7c1971)
[ 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 => 0.000296917, :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(0x1a445c1c383593744220b9bb5204e7ec, 0x05544804e431948211f1e6d8c0e3533c)
[ 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 => 0.074407062, :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(0xc191521eab9b8dcca1ba3b9b2cba705e, 0x8b83d55020deab8a595bdb3f2304e546)
[ 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 => 0.000252588, :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(0x62a6acd174dfcf252f6ee42472604d7e, 0xc97fb762abc28ad2f37b03d5c36e33a4)
[ 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 => 0.403439022, :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(0x7e3e4f26da3a0feaf85249ad90363dd8, 0x224db11686fbe0c142648345c35626d9)
[ 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 => 0.401622989, :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(0xa027d5a233bb4949fa84eb3eca05ec47, 0xa2cd384478af7e4c7850fcdf38e47e16)
[ 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 => 0.424525472, :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(0xcd37880fa0d42c11b1b803aee50430a0, 0x1e3061a4facf0cf48bbdb1a112d4d5fc)
[ 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 => 0.068244581, :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(0xc60ce7ac08eed03f03fc6d29ce282a61, 0xb2d83059834881d18a140868c0ed89bf)
[ 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 => 0.515710445, :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(0x9a30861c76423dd18b9f1ecce7ac4de7, 0x465bdf898ebcd3b4adb405807fb997ee)
[ 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 => 0.168857304, :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(0xc371c3304018daa62beb67ef747610da, 0x8033007eb2ac1b9d5b86f47fe8a10911)
┌ 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(0xfbff77fc422af0c07bb520dc8cdb9c06, 0x11743a3fb3498d15ac396dbc5890e571)
┌ 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(0xf762aea51ffbdd99e203ff8ba0439985, 0x9a72fb0a12a929831a415071d380c183)
┌ 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(0xb75c6662414cad74e0bd2e4e9ebbdbda, 0x4bbb6ddc7f0fdf413861df98846881df)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 1.4900000000000004, :time_steps => 1, :n_logical_commutations => [1, 2], :error_weight_total => 9, :wall_time => 0.000417686, :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(0xb24a365a1bea43788b40576aeb07374b, 0xbe44eab71315de1f9d0c41a9d6a856f7)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.8, :time_steps => 1, :n_logical_commutations => [1, 2], :error_weight_total => 10, :wall_time => 0.000356587, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.2, :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 = 0.1
│   random_seed = nothing
│   max_runs = 10
└   max_failures = nothing
[ Info: qec_run: rng=Random.MersenneTwister(0x006579147f78c533672a0d3673342175, 0x2db24bfec61db9df93cd2ef3a5711860)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.41, :time_steps => 1, :n_logical_commutations => [1, 1], :error_weight_total => 7, :wall_time => 0.000403526, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.13999999999999999, :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(0x4022265f8a499fa478c56f8dfd3f464d, 0xf473d64cf35fee74363180c6563a0ebc)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.76, :time_steps => 1, :n_logical_commutations => [3, 2], :error_weight_total => 12, :wall_time => 0.000520015, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.24, :measurement_error_probability => 0.0, :error_probability => 0.2, :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(0xb4eb2135e897a9c7700010b63cf8c686, 0x0c59023a35f7c8a4a512bd808ef94830)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.44000000000000006, :time_steps => 1, :n_logical_commutations => [1, 1], :error_weight_total => 4, :wall_time => 0.019062979, :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 => "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 = 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(0xa5e63787484e72d5588e571a62ab2682, 0x94b560bd596860b4e799ae025a7fd56a)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.0, :time_steps => 1, :n_logical_commutations => nothing, :error_weight_total => 3, :wall_time => 0.029155032, :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(0x2040b586cbf0769bfc22596482cb7c85, 0x1abe8fd8aee92df7b6322fe3b3bb58bd)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.2222222222222222, :time_steps => 1, :n_logical_commutations => nothing, :error_weight_total => 4, :wall_time => 0.000339507, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.26666666666666666, :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(0x4af0fd393d4fecfecb9584c4711768e6, 0x819aaffe760624e9b345516f34d592f0)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.44000000000000006, :time_steps => 1, :n_logical_commutations => [0, 1], :error_weight_total => 4, :wall_time => 0.000527075, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.08, :measurement_error_probability => 0.0, :error_probability => 0.08, :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(0xc2a18ab9f9ed84f02a5fcea0f740a2fc, 0xccffb64f67c37fdbe94ce39a94acdf4d)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.8900000000000002, :time_steps => 1, :n_logical_commutations => [3, 4], :error_weight_total => 9, :wall_time => 0.000454705, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.18, :measurement_error_probability => 0.0, :error_probability => 0.1, :n_success => 6, :logical_failure_rate => 0.4, :custom_totals => nothing, :code => "5-qubit", :decoder => "Naive", :n_fail => 4, :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(0x47ed6dd17c5b2c839defbf5079a7aaf9, 0xcbe73f58873a434f702446f7c72b75c7)
[ 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 => 0.000352056, :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":0.20999999999999996},{"time_steps":1},{"n_logical_commutations":[0,0]},{"error_weight_total":3},{"wall_time":0.000352056},{"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(0xa1944fdf146213a557f57e706f1e55bd, 0xa4ae6ed9d0907a568e1fdd2654fc81da)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.24000000000000005, :time_steps => 1, :n_logical_commutations => [0, 0], :error_weight_total => 4, :wall_time => 0.000383796, :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 => 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  1m12.6s
  error.jl                                 |    3      3    18.1s
  PauliTools.jl                            |   43     43     8.2s
  Model.jl                                 |   21     21     2.5s
  models/BasicModels.jl                    |   13     13     0.4s
  models/GenericModels/simpleerrormodel.jl |   44     44     6.6s
  models/GenericModels/naivedecoder.jl     |   16     16     1.8s
  App.jl                                   |  101    101    34.8s
     Testing Qecsim tests passed 

Testing completed after 78.71s

PkgEval succeeded after 128.58s