Package evaluation of Qecsim on Julia 1.13.0-DEV.860 (6ddb3d6410*) started at 2025-07-13T14:41:01.224


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

Installing PkgEval dependencies (TestEnv)...

Set-up completed after 8.51s


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

Installing Qecsim...
   Resolving package versions...
    Updating `~/.julia/environments/v1.13/Project.toml`
  [e6c2bad3] + Qecsim v0.1.0
    Updating `~/.julia/environments/v1.13/Manifest.toml`
  [861a8166] + Combinatorics v1.0.3
  [34da2185] + Compat v4.17.0
  [9a962f9c] + DataAPI v1.16.0
  [864edb3b] + DataStructures v0.18.22
  [ffbed154] + DocStringExtensions v0.9.5
  [92d709cd] + IrrationalConstants v0.2.4
  [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 v1.3.2
  [21216c6a] + Preferences v1.4.3
  [e6c2bad3] + Qecsim v0.1.0
  [189a3867] + Reexport v1.2.2
  [a2af1166] + SortingAlgorithms v1.2.1
  [10745b16] + Statistics v1.11.1
  [82ae8749] + StatsAPI v1.7.1
⌅ [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 v1.12.0
  [8f399da3] + Libdl v1.11.0
  [37e2e46d] + LinearAlgebra v1.12.0
  [d6f4376e] + Markdown v1.11.0
  [a63ad114] + Mmap v1.11.0
  [de0858da] + Printf v1.11.0
  [9a3f8284] + Random v1.11.0
  [ea8e919c] + SHA v0.7.0
  [9e88b42a] + Serialization v1.11.0
  [2f01184e] + SparseArrays v1.12.0
  [f489334b] + StyledStrings v1.11.0
  [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 v5.13.1+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 To see why use `status --outdated -m`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 3.17s


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

Precompiling PkgEval dependencies...

Precompiling package dependencies...

Precompilation completed after 31.13s


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

     Testing Qecsim
      Status `/tmp/jl_K7CKQD/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 v1.12.0
  [9a3f8284] Random v1.11.0
  [8dfed614] Test v1.11.0
      Status `/tmp/jl_K7CKQD/Manifest.toml`
  [861a8166] Combinatorics v1.0.3
  [34da2185] Compat v4.17.0
  [9a962f9c] DataAPI v1.16.0
  [864edb3b] DataStructures v0.18.22
  [ffbed154] DocStringExtensions v0.9.5
  [92d709cd] IrrationalConstants v0.2.4
  [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 v1.3.2
  [21216c6a] Preferences v1.4.3
  [e6c2bad3] Qecsim v0.1.0
  [189a3867] Reexport v1.2.2
  [1bc83da4] SafeTestsets v0.1.0
  [a2af1166] SortingAlgorithms v1.2.1
  [10745b16] Statistics v1.11.1
  [82ae8749] StatsAPI v1.7.1
⌅ [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 v1.12.0
  [8f399da3] Libdl v1.11.0
  [37e2e46d] LinearAlgebra v1.12.0
  [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 v0.7.0
  [9e88b42a] Serialization v1.11.0
  [2f01184e] SparseArrays v1.12.0
  [f489334b] StyledStrings v1.11.0
  [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 v5.13.1+0
        Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading.
     Testing Running tests...
┌ Info: qec_run: starting
│   code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit")
│   error_model = Qecsim.GenericModels.DepolarizingErrorModel()
│   decoder = Qecsim.GenericModels.NaiveDecoder(10)
│   p = 0.25
│   random_seed = nothing
│   max_runs = 1000
└   max_failures = nothing
[ Info: qec_run: rng=Random.MersenneTwister(0x985e77b8dd0afbd7242f8fcb782e1361)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.9223040000000083, :time_steps => 1, :n_logical_commutations => [236, 233], :error_weight_total => 1264, :wall_time => 0.359864265, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.2528, :measurement_error_probability => 0.0, :error_probability => 0.25, :n_success => 641, :logical_failure_rate => 0.359, :custom_totals => nothing, :code => "5-qubit", :decoder => "Naive", :n_fail => 359, :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(0xdba908a469b1b88e094ef86c17362865)
[ 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 => 0.000213209, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.0, :measurement_error_probability => 0.0, :error_probability => 0.25, :n_success => 1, :logical_failure_rate => 0.0, :custom_totals => nothing, :code => "5-qubit", :decoder => "Naive", :n_fail => 0, :n_run => 1)
┌ Info: qec_run: starting
│   code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit")
│   error_model = Qecsim.GenericModels.DepolarizingErrorModel()
│   decoder = Qecsim.GenericModels.NaiveDecoder(10)
│   p = 0.25
│   random_seed = nothing
│   max_runs = 10
└   max_failures = nothing
[ Info: qec_run: rng=Random.MersenneTwister(0x4a51d85425e13b3378ae5c5062c5238c)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 1.0099999999999998, :time_steps => 1, :n_logical_commutations => [5, 3], :error_weight_total => 17, :wall_time => 0.000331558, :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 => 4, :logical_failure_rate => 0.6, :custom_totals => nothing, :code => "5-qubit", :decoder => "Naive", :n_fail => 6, :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(0xf98d93f2fb09f5ce1039ce693b51335f)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.888888888888889, :time_steps => 1, :n_logical_commutations => [0, 2], :error_weight_total => 4, :wall_time => 0.000321228, :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 => 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(0x4e568eeb7b4cd842c92cf2994b8ec317)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.6938775510204082, :time_steps => 1, :n_logical_commutations => [2, 2], :error_weight_total => 8, :wall_time => 0.000366047, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.2285714285714286, :measurement_error_probability => 0.0, :error_probability => 0.25, :n_success => 4, :logical_failure_rate => 0.42857142857142855, :custom_totals => nothing, :code => "5-qubit", :decoder => "Naive", :n_fail => 3, :n_run => 7)
┌ Info: qec_run: starting
│   code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit")
│   error_model = Qecsim.GenericModels.DepolarizingErrorModel()
│   decoder = Qecsim.GenericModels.NaiveDecoder(10)
│   p = 0.25
│   random_seed = nothing
│   max_runs = 1000
└   max_failures = nothing
[ Info: qec_run: rng=Random.MersenneTwister(0xe27f1bb8f6eaa711dfd2b0d97b9c493c)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.9669749999999951, :time_steps => 1, :n_logical_commutations => [240, 216], :error_weight_total => 1245, :wall_time => 0.016730435, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.249, :measurement_error_probability => 0.0, :error_probability => 0.25, :n_success => 665, :logical_failure_rate => 0.335, :custom_totals => nothing, :code => "5-qubit", :decoder => "Naive", :n_fail => 335, :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(0x92441799c48ceb5e8d4c36736e0bfa78)
[ 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 => 0.000146359, :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(0x7b300abcf08c36b889e3de93fc6278c6)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.6, :time_steps => 1, :n_logical_commutations => [1, 2], :error_weight_total => 10, :wall_time => 0.000214969, :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 => 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(0x61f55d06a17a3bd8ded9985461b03c3a)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.6875, :time_steps => 1, :n_logical_commutations => [2, 0], :error_weight_total => 5, :wall_time => 0.000159998, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.25, :measurement_error_probability => 0.0, :error_probability => 0.25, :n_success => 2, :logical_failure_rate => 0.5, :custom_totals => nothing, :code => "5-qubit", :decoder => "Naive", :n_fail => 2, :n_run => 4)
┌ Info: qec_run: starting
│   code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit")
│   error_model = Qecsim.GenericModels.DepolarizingErrorModel()
│   decoder = Qecsim.GenericModels.NaiveDecoder(10)
│   p = 0.25
│   random_seed = nothing
│   max_runs = 10
└   max_failures = 3
[ Info: qec_run: rng=Random.MersenneTwister(0xffb744dad6c30096559cf35d987e7e4b)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.36000000000000004, :time_steps => 1, :n_logical_commutations => [0, 1], :error_weight_total => 8, :wall_time => 0.000251748, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.16, :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 = 0.1
│   random_seed = 13
│   max_runs = 1000
└   max_failures = nothing
[ Info: qec_run: rng=Random.MersenneTwister(13)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.4977440000000004, :time_steps => 1, :n_logical_commutations => [60, 63], :error_weight_total => 516, :wall_time => 0.034628771, :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(13)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.4977440000000004, :time_steps => 1, :n_logical_commutations => [60, 63], :error_weight_total => 516, :wall_time => 0.01477134, :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#287"._DuckCode()
│   error_model = Main.var"##App.jl#287"._DuckErrorModel()
│   decoder = Main.var"##App.jl#287"._DuckDecoder()
│   p = 0.1
│   random_seed = nothing
│   max_runs = 10
└   max_failures = nothing
[ Info: qec_run: rng=Random.MersenneTwister(0xece981c4db858f591fba2cf1df47307e)
[ 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 => 0.000400346, :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#287"._DuckCode()
│   error_model = Main.var"##App.jl#287"._DuckErrorModel()
│   decoder = Qecsim.GenericModels.NaiveDecoder(10)
│   p = 0.1
│   random_seed = nothing
│   max_runs = 10
└   max_failures = nothing
[ Info: qec_run: rng=Random.MersenneTwister(0x6fa85bb48599579a370abcd834b95a6f)
[ 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 => 0.000466746, :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#287"._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(0x591fadddd6fabf0e16c04d6b3fe067cc)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.24000000000000005, :time_steps => 1, :n_logical_commutations => [0, 0], :error_weight_total => 6, :wall_time => 0.000808073, :n_k_d => (5, 1, 3), :error_model => "Bit-flip", :physical_error_rate => 0.12, :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#287"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
│   decoder = Main.var"##App.jl#287"._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(0xf0f230b64abc075392e9be91709219f4)
[ 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 => 0.000219338, :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#287"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
│   decoder = Main.var"##App.jl#287"._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(0xfa36b74a3cdba11855d5a02378e66cac)
[ 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 => 0.000190659, :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#287"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
│   decoder = Main.var"##App.jl#287"._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(0x59b97f1380ab9331461107ca3f7d608b)
[ 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 => 0.000126219, :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#287"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
│   decoder = Main.var"##App.jl#287"._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(0x76bd4afa40e6ba68fd9e9a5dbd918539)
[ 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 => 0.000257498, :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#287"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
│   decoder = Main.var"##App.jl#287"._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(0xafad9f91aab10fcc46c678def37ce182)
[ 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 => 0.000164249, :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#287"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
│   decoder = Main.var"##App.jl#287"._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(0x2f1b7e337cbec2febd968ae92fb16313)
[ 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 => 0.000142928, :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#287"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
│   decoder = Main.var"##App.jl#287"._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(0xac1c81fb95b8a625ca1c01362a1786e4)
[ 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 => 0.062166938, :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#287"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
│   decoder = Main.var"##App.jl#287"._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(0xde5824d8d16d78fb907dd6785f91d530)
[ 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 => 0.000619135, :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#287"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
│   decoder = Main.var"##App.jl#287"._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(0x34bdd545d4f237819a122f8d07db4c1d)
[ 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 => 0.43278647, :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#287"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
│   decoder = Main.var"##App.jl#287"._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(0xa170a06263247a1a15badd0aaea828b8)
[ 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 => 0.429251709, :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#287"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
│   decoder = Main.var"##App.jl#287"._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(0x7981e28f89b340dbd3699c03fc71f8a4)
[ 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 => 0.356929743, :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#287"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
│   decoder = Main.var"##App.jl#287"._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(0xbec0872e334e47bdfb6956d6cd5d4ed8)
[ 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 => 0.06793168, :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#287"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
│   decoder = Main.var"##App.jl#287"._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(0x514d93175d5d0eeafb96a4d9688a9dec)
[ 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 => 0.478478348, :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#287"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
│   decoder = Main.var"##App.jl#287"._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(0x440199a53a1268408e6eb7f0839e5fe4)
[ 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 => 0.199583975, :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#287"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
│   decoder = Main.var"##App.jl#287"._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(0x724c57d3e5738a9398e187b60327a859)
┌ 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#287"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
│   decoder = Main.var"##App.jl#287"._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(0x81b753e89c8ce5cb5a18814e20c082e4)
┌ 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#287"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
│   decoder = Main.var"##App.jl#287"._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(0x6dc1590481b0fab7baa474f1de78ed1d)
┌ 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(0xd5b7092708d9700272863c03dd02331c)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.6900000000000001, :time_steps => 1, :n_logical_commutations => [3, 2], :error_weight_total => 9, :wall_time => 0.000365427, :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 => 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 = 0.2
│   random_seed = nothing
│   max_runs = 10
└   max_failures = nothing
[ Info: qec_run: rng=Random.MersenneTwister(0xd1e939620fcb7225c12278be9dfd5ae4)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.6900000000000001, :time_steps => 1, :n_logical_commutations => [2, 1], :error_weight_total => 9, :wall_time => 0.000283718, :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 => 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 = 0.1
│   random_seed = nothing
│   max_runs = 10
└   max_failures = nothing
[ Info: qec_run: rng=Random.MersenneTwister(0x86b79492504edc06fcd5b6e9b78095c2)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.4400000000000001, :time_steps => 1, :n_logical_commutations => [0, 1], :error_weight_total => 4, :wall_time => 0.000376127, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :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 = Qecsim.GenericModels.NaiveDecoder(10)
│   p = 0.2
│   random_seed = nothing
│   max_runs = 10
└   max_failures = nothing
[ Info: qec_run: rng=Random.MersenneTwister(0x20a594f5db84878b183b5aa77168083a)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.89, :time_steps => 1, :n_logical_commutations => [2, 1], :error_weight_total => 9, :wall_time => 0.000280987, :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.BitFlipErrorModel()
│   decoder = Qecsim.GenericModels.NaiveDecoder(10)
│   p = 0.1
│   random_seed = nothing
│   max_runs = 10
└   max_failures = nothing
[ Info: qec_run: rng=Random.MersenneTwister(0xea34c2d0fe55383c9351f6fed89557a3)
[ 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 => 0.016495986, :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#287"._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(0xb2621b8e97e50795fd2bcd2433efd5d1)
[ 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 => 0.027718135, :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 => 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#287"._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(0x6095ba72fb44ff0ed66980ced0eb04f2)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.6666666666666666, :time_steps => 1, :n_logical_commutations => nothing, :error_weight_total => 3, :wall_time => 0.000252188, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.19999999999999998, :measurement_error_probability => 0.0, :error_probability => 0.2, :n_success => 2, :logical_failure_rate => 0.3333333333333333, :custom_totals => Any[5, [3, 1, 3]], :code => "5-qubit", :decoder => "cycle", :n_fail => 1, :n_run => 3)
┌ Info: qec_run: starting
│   code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit")
│   error_model = Qecsim.GenericModels.DepolarizingErrorModel()
│   decoder = Qecsim.GenericModels.NaiveDecoder(10)
│   p = 0.08
│   random_seed = nothing
│   max_runs = 10
└   max_failures = nothing
[ Info: qec_run: rng=Random.MersenneTwister(0xc0b3d98928fffbf6916dd62ee0dc4737)
[ 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 => 0.000327947, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.06, :measurement_error_probability => 0.0, :error_probability => 0.08, :n_success => 10, :logical_failure_rate => 0.0, :custom_totals => nothing, :code => "5-qubit", :decoder => "Naive", :n_fail => 0, :n_run => 10)
┌ Info: qec_run: starting
│   code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit")
│   error_model = Qecsim.GenericModels.DepolarizingErrorModel()
│   decoder = Qecsim.GenericModels.NaiveDecoder(10)
│   p = 0.1
│   random_seed = nothing
│   max_runs = 10
└   max_failures = nothing
[ Info: qec_run: rng=Random.MersenneTwister(0x1fe05ebb7724a634de77e8d1ca899e52)
[ 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 => 0.000273498, :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(0xdf258d43bfbda4045b04c2d5af714c9d)
[ 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 => 0.000325337, :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)
┌ Error: Recovered data: [{"error_weight_pvar":0.45},{"time_steps":1},{"n_logical_commutations":[1,1]},{"error_weight_total":5},{"wall_time":0.000325337},{"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":null},{"code":"5-qubit"},{"decoder":"Naive"},{"n_fail":1},{"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(0x40be0455f910429cbd32dfca08363f19)
[ 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 => 0.000438316, :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  1m08.0s
  error.jl                                 |    3      3     8.5s
  PauliTools.jl                            |   43     43    12.3s
  Model.jl                                 |   21     21     3.4s
  models/BasicModels.jl                    |   13     13     0.6s
  models/GenericModels/simpleerrormodel.jl |   44     44     7.1s
  models/GenericModels/naivedecoder.jl     |   16     16     1.8s
  App.jl                                   |  101    101    34.3s
     Testing Qecsim tests passed 

Testing completed after 75.95s

PkgEval succeeded after 140.21s