Package evaluation to test Qecsim on Julia 1.14.0-DEV.1352 (749bc618c5*) started at 2025-12-09T20:49:27.128


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

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

Set-up completed after 6.66s


################################################################################
# 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 v1.0.3
  [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 v1.5.0
  [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 To see why use `status --outdated -m`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 2.56s


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

ERROR: LoadError: MethodError: no method matching setindex!(::Base.ScopedValues.ScopedValue{IO}, ::Nothing)
The function `setindex!` exists, but no method is defined for this combination of argument types.
Stacktrace:
 [1] top-level scope
   @ /PkgEval.jl/scripts/precompile.jl:10
 [2] include(mod::Module, _path::String)
   @ Base ./Base.jl:309
 [3] exec_options(opts::Base.JLOptions)
   @ Base ./client.jl:344
 [4] _start()
   @ Base ./client.jl:577
in expression starting at /PkgEval.jl/scripts/precompile.jl:6

caused by: MethodError: no method matching setindex!(::Base.ScopedValues.ScopedValue{IO}, ::Base.DevNull)
The function `setindex!` exists, but no method is defined for this combination of argument types.
Stacktrace:
 [1] top-level scope
   @ /PkgEval.jl/scripts/precompile.jl:7
 [2] include(mod::Module, _path::String)
   @ Base ./Base.jl:309
 [3] exec_options(opts::Base.JLOptions)
   @ Base ./client.jl:344
 [4] _start()
   @ Base ./client.jl:577

Precompilation failed after 8.6s



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

     Testing Qecsim
      Status `/tmp/jl_erj04j/Project.toml`
  [861a8166] Combinatorics v1.0.3
⌅ [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_erj04j/Manifest.toml`
  [861a8166] Combinatorics v1.0.3
  [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 v1.5.0
  [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("682c06a0-de6a-54ab-a142-c8b1cf79cde6"), "JSON") failed to load from a cache file.
└ @ Base loading.jl:2891
┌ 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(0x260b0306a5abe2fff2ac1e197c4ace44, 0x22207537874ad13944476ee13253dd1a)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.9414839999999995, :time_steps => 1, :n_logical_commutations => [242, 239], :error_weight_total => 1254, :wall_time => 0.518666057, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.2508, :measurement_error_probability => 0.0, :error_probability => 0.25, :n_success => 640, :logical_failure_rate => 0.36, :custom_totals => nothing, :code => "5-qubit", :decoder => "Naive", :n_fail => 360, :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(0x7e0bcf8e12b2266b8d07a0fd41ba84e4, 0x190013f221f96640763c4e16e5e83469)
[ 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 => 0.000290138, :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(0x7dbe2004a966619c90473433f2182a81, 0xd10ed8bc8fabb967bf6678537a770b60)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 1.4099999999999997, :time_steps => 1, :n_logical_commutations => [0, 2], :error_weight_total => 13, :wall_time => 0.000414297, :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 => 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(0xca4ecb2b38a147e3b17f167d828ac0e9, 0xe3c6b099def4ee92f563040af06e41ae)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 1.5555555555555554, :time_steps => 1, :n_logical_commutations => [2, 0], :error_weight_total => 7, :wall_time => 0.000369488, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.4666666666666666, :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(0x7128c7ad08cf173b6d68e087916c2e3a, 0x51eab858bfcc9ab13e1f5c0a6a915fb6)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 1.2900000000000003, :time_steps => 1, :n_logical_commutations => [1, 1], :error_weight_total => 9, :wall_time => 0.000461177, :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 => 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 = 0.25
│   random_seed = nothing
│   max_runs = 1000
└   max_failures = nothing
[ Info: qec_run: rng=Random.MersenneTwister(0x3dc0a38936ff9fc5d83b2427cf38017e, 0x65b030d3df711ec431d131d440a72b56)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.9531589999999999, :time_steps => 1, :n_logical_commutations => [226, 236], :error_weight_total => 1279, :wall_time => 0.018697515, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.2558, :measurement_error_probability => 0.0, :error_probability => 0.25, :n_success => 651, :logical_failure_rate => 0.349, :custom_totals => nothing, :code => "5-qubit", :decoder => "Naive", :n_fail => 349, :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(0x7b8dea507b1ff4cb9d319bb873248514, 0x4c820839fc649279a0ccea406e90fef2)
[ 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 => 0.000259788, :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(0x10edbd0d1c669fb11909c62028bfb4b2, 0x929a87dc313b40ae58fba8c59eae3390)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 1.09, :time_steps => 1, :n_logical_commutations => [2, 2], :error_weight_total => 9, :wall_time => 0.000330678, :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 => 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(0x7256683e9cdb67cbb441f8f4a506cd18, 0xefc4c8f611f480305fca1160c3b88c80)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.888888888888889, :time_steps => 1, :n_logical_commutations => [1, 2], :error_weight_total => 8, :wall_time => 0.000310018, :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 => 4, :logical_failure_rate => 0.3333333333333333, :custom_totals => nothing, :code => "5-qubit", :decoder => "Naive", :n_fail => 2, :n_run => 6)
┌ 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(0xa091192946d79951e50c95539d34aeba, 0x56862b2668ceea005980c1b7101887bb)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.9166666666666666, :time_steps => 1, :n_logical_commutations => [2, 2], :error_weight_total => 9, :wall_time => 0.000331138, :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 => 3, :logical_failure_rate => 0.5, :custom_totals => nothing, :code => "5-qubit", :decoder => "Naive", :n_fail => 3, :n_run => 6)
┌ 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 => 0.014735129, :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 => 0.015815443, :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#147"._DuckCode()
│   error_model = Main.var"##App.jl#147"._DuckErrorModel()
│   decoder = Main.var"##App.jl#147"._DuckDecoder()
│   p = 0.1
│   random_seed = nothing
│   max_runs = 10
└   max_failures = nothing
[ Info: qec_run: rng=Random.MersenneTwister(0x5f4fbfbea10964d45c7204b9f1e43f9a, 0x0388313577670598622ccecf2aa64288)
[ 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 => 0.000476517, :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#147"._DuckCode()
│   error_model = Main.var"##App.jl#147"._DuckErrorModel()
│   decoder = Qecsim.GenericModels.NaiveDecoder(10)
│   p = 0.1
│   random_seed = nothing
│   max_runs = 10
└   max_failures = nothing
[ Info: qec_run: rng=Random.MersenneTwister(0xa9d66315faf9509f3bd3df1c28c668ee, 0xc9058401d1cf5cdce94e3d2d0d27dbad)
[ 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 => 0.000566186, :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#147"._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(0x7ec3b99cd2617013e938b0cabbb7bbb0, 0xf46a88752dd782a4cce864e825be097f)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.40999999999999986, :time_steps => 1, :n_logical_commutations => [1, 0], :error_weight_total => 3, :wall_time => 0.000702266, :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 => 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#147"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
│   decoder = Main.var"##App.jl#147"._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(0xb01a854554d43a314389fd2534fa0ea8, 0x2296a6815d1ba2f74521c594522eb8e2)
[ 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 => 0.000256828, :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#147"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
│   decoder = Main.var"##App.jl#147"._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(0x9817de1b291ce8d3f289fd17a1cddd29, 0xfd165890582a72458831a25bfd72234f)
[ 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 => 0.000242609, :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#147"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
│   decoder = Main.var"##App.jl#147"._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(0x035a666089f455a301ecb16c9eb54b64, 0xae1ff30fbc0a7f6a07acd176d5d82ad8)
[ 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 => 0.000218748, :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#147"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
│   decoder = Main.var"##App.jl#147"._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(0xb99bd99214d37bfd7dd0701b9817116c, 0x38d8a6f3b1042ccc634ade550f6978ef)
[ 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 => 0.000322528, :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#147"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
│   decoder = Main.var"##App.jl#147"._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(0x23f515dc9e1d40f82629b0500c4f91df, 0x66d2fff9bf9b75c6b537cbd00d3d0784)
[ 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 => 0.000274939, :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#147"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
│   decoder = Main.var"##App.jl#147"._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(0xb8521df00967d8c7be2d979aae97530b, 0x947b56977b267dff454214c999451723)
[ 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 => 0.000245079, :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#147"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
│   decoder = Main.var"##App.jl#147"._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(0xc2b2d3ea6e99d3ee30224c2a518b006d, 0xd3090f17e4e88a3252eab74990ee04e6)
[ 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 => 0.08769225, :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#147"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
│   decoder = Main.var"##App.jl#147"._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(0x2186c2361fc70827787043c130c86b3d, 0x2cc81f4eefd849e911a0a11d96d478b5)
[ 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 => 0.000283568, :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#147"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
│   decoder = Main.var"##App.jl#147"._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(0xe55a27fc4b8a1f0694c2362a13428bb2, 0x708b226c16ef94760834f60a257f43f0)
[ 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 => 0.463482549, :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#147"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
│   decoder = Main.var"##App.jl#147"._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(0xc35d45fc2f2779d50756de5ce97b0c3e, 0x6df670071cc1559135cf308493adff80)
[ 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 => 0.464158445, :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#147"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
│   decoder = Main.var"##App.jl#147"._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(0xcffceb0127505aa2e4d062a3fbe1f867, 0x6f14808cc900b71db8f475b67e3fbfa2)
[ 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 => 0.466253321, :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#147"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
│   decoder = Main.var"##App.jl#147"._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(0xd14a1d9a7301d6ff93558d1ebc6cbaf5, 0xc0f43b9fce1c95898ecd405ff33921a5)
[ 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 => 0.084114212, :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#147"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
│   decoder = Main.var"##App.jl#147"._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(0xf54ceae542f3d44c359008559e25644d, 0x72b072f771844c68d74dbae68652a4c3)
[ 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 => 0.620073672, :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#147"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
│   decoder = Main.var"##App.jl#147"._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(0x741c86f6cbed82ef6814aaf6ac8a52ae, 0x9a30867ae22bb0609e05f663ae00eb64)
[ 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 => 0.202252054, :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#147"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
│   decoder = Main.var"##App.jl#147"._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(0xd2bdc3b96f7d885b310dd6ce06243373, 0x75ddbac91584dbf4eb37133c7af6349f)
┌ 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#147"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
│   decoder = Main.var"##App.jl#147"._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(0x0b4cfd28119ea7c1cc4674ccddc4a2c0, 0xb3f08ac94f15f087aa0b24157c8c80e6)
┌ 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#147"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
│   decoder = Main.var"##App.jl#147"._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(0x011e6bce12116937c2ba7bff34a44057, 0x84e9fb0715d41394ffea7908e2c6aa60)
┌ 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(0x8629790d13172f8682e9b168055a3812, 0x95a015f87d4c81ccee9f5a9f87807c53)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.29000000000000004, :time_steps => 1, :n_logical_commutations => [1, 1], :error_weight_total => 9, :wall_time => 0.000497687, :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 => 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(0x213fd5295529f50f4d601751c5b2d097, 0xf8c6806ef9bae0563d77f843711161d6)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.85, :time_steps => 1, :n_logical_commutations => [3, 3], :error_weight_total => 15, :wall_time => 0.000465848, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.3, :measurement_error_probability => 0.0, :error_probability => 0.2, :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.DepolarizingErrorModel()
│   decoder = Qecsim.GenericModels.NaiveDecoder(10)
│   p = 0.1
│   random_seed = nothing
│   max_runs = 10
└   max_failures = nothing
[ Info: qec_run: rng=Random.MersenneTwister(0xec8ea27ee339d8426429d891121760fa, 0x9afa7bceec492984e5816af6b76754c1)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.21000000000000002, :time_steps => 1, :n_logical_commutations => [0, 0], :error_weight_total => 7, :wall_time => 0.000451258, :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 => 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 = 0.2
│   random_seed = nothing
│   max_runs = 10
└   max_failures = nothing
[ Info: qec_run: rng=Random.MersenneTwister(0xa5e970a358a80cf9881bc692edaad05e, 0xce213b122d894aedb417416939dc139c)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.6, :time_steps => 1, :n_logical_commutations => [1, 3], :error_weight_total => 10, :wall_time => 0.000372658, :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 => 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(0x29ca6fa2bda386716d181a210fd25e46, 0x43c18f054e7cd3c6f9c02bcf08a2f7aa)
[ 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 => 0.020779592, :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)
┌ 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#147"._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(0xf8a4140382ed58965e756253443af064, 0x99b05d7e70b58c5710cb870b98736ad5)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.22222222222222224, :time_steps => 1, :n_logical_commutations => nothing, :error_weight_total => 2, :wall_time => 0.041888852, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.13333333333333333, :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#147"._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(0xe06953c413e704674a5065e0d2ddef14, 0xe44f61784e694cd6303985529edde9a5)
[ 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 => 0.000306738, :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(0x976e63e625dba52f2df9574c1280d62f, 0x10a78122f85d86a1eaf4a5b7aad23d4a)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.16000000000000006, :time_steps => 1, :n_logical_commutations => [0, 0], :error_weight_total => 2, :wall_time => 0.000333038, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.04, :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(0xe211f78c0cb908c79604ccedcca8a05f, 0xf7ff2a4ee0675b35d21b72b7d4000b81)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.45, :time_steps => 1, :n_logical_commutations => [1, 0], :error_weight_total => 5, :wall_time => 0.000460827, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.1, :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.BitFlipErrorModel()
│   decoder = Qecsim.GenericModels.NaiveDecoder(10)
│   p = 0.1
│   random_seed = nothing
│   max_runs = 10
└   max_failures = nothing
[ Info: qec_run: rng=Random.MersenneTwister(0x4e36bb219c5c2177c041836126444955, 0x06ab82460b7dedd69283d1aab9005922)
[ 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 => 0.000545507, :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)
┌ Error: Recovered data: [{"error_weight_pvar":0.24000000000000005},{"time_steps":1},{"n_logical_commutations":[0,0]},{"error_weight_total":4},{"wall_time":0.000545507},{"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":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(0x4de85a85bcc33e1c3bb7a6bc85c5b71f, 0x187c49f9d66437e48299746fd5c9165f)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.45, :time_steps => 1, :n_logical_commutations => [1, 1], :error_weight_total => 5, :wall_time => 0.000388068, :n_k_d => (5, 1, 3), :error_model => "Bit-flip", :physical_error_rate => 0.1, :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)
Test Summary:                              | Pass  Total     Time
Qecsim.jl                                  |  241    241  1m17.3s
  error.jl                                 |    3      3    18.1s
  PauliTools.jl                            |   43     43     7.8s
  Model.jl                                 |   21     21     3.7s
  models/BasicModels.jl                    |   13     13     0.6s
  models/GenericModels/simpleerrormodel.jl |   44     44     6.6s
  models/GenericModels/naivedecoder.jl     |   16     16     1.7s
  App.jl                                   |  101    101    38.6s
     Testing Qecsim tests passed 

Testing completed after 80.68s

PkgEval succeeded after 112.76s