Package evaluation to test Qecsim on Julia 1.14.0-DEV.2033 (8c59e8e9f1*) started at 2026-04-14T15:11:27.460


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

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

Set-up completed after 14.67s


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

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 To see why use `status --outdated -m`

Installation completed after 4.85s


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

Precompiling PkgEval dependencies...

Precompiling package dependencies...
Precompiling project...
   4.1 s  ✓ Qecsim
  1 dependency successfully precompiled in 5 seconds. 37 already precompiled.

Precompilation completed after 31.14s


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

     Testing Qecsim
      Status `/tmp/jl_x81iLt/Project.toml`
  [861a8166] Combinatorics v1.1.0
⌅ [682c06a0] JSON v0.21.4
  [e6c2bad3] Qecsim v0.1.0
  [189a3867] Reexport v1.2.2
  [1bc83da4] SafeTestsets v0.1.0
  [10745b16] Statistics v1.11.1
⌅ [2913bbd2] StatsBase v0.33.21
  [37e2e46d] LinearAlgebra v1.13.0
  [9a3f8284] Random v1.11.0
  [8dfed614] Test v1.11.0
      Status `/tmp/jl_x81iLt/Manifest.toml`
  [861a8166] Combinatorics v1.1.0
  [34da2185] Compat v4.18.1
  [9a962f9c] DataAPI v1.16.0
⌅ [864edb3b] DataStructures v0.18.22
  [ffbed154] DocStringExtensions v0.9.5
  [92d709cd] IrrationalConstants v0.2.6
⌅ [682c06a0] JSON v0.21.4
  [2ab3a3ac] LogExpFunctions v0.3.29
  [e1d29d7a] Missings v1.2.0
  [bac558e1] OrderedCollections v1.8.1
  [69de0a69] Parsers v2.8.3
  [aea7be01] PrecompileTools v1.3.3
  [21216c6a] Preferences v1.5.2
  [e6c2bad3] Qecsim v0.1.0
  [189a3867] Reexport v1.2.2
  [1bc83da4] SafeTestsets v0.1.0
  [a2af1166] SortingAlgorithms v1.2.2
  [10745b16] Statistics v1.11.1
  [82ae8749] StatsAPI v1.8.0
⌅ [2913bbd2] StatsBase v0.33.21
  [56f22d72] Artifacts v1.11.0
  [2a0f44e3] Base64 v1.11.0
  [ade2ca70] Dates v1.11.0
  [b77e0a4c] InteractiveUtils v1.11.0
  [ac6e5ff7] JuliaSyntaxHighlighting v1.13.0
  [8f399da3] Libdl v1.11.0
  [37e2e46d] LinearAlgebra v1.13.0
  [56ddb016] Logging v1.11.0
  [d6f4376e] Markdown v1.11.0
  [a63ad114] Mmap v1.11.0
  [de0858da] Printf v1.11.0
  [9a3f8284] Random v1.11.0
  [ea8e919c] SHA v1.0.0
  [9e88b42a] Serialization v1.11.0
  [2f01184e] SparseArrays v1.13.0
  [f489334b] StyledStrings v1.13.0
  [fa267f1f] TOML v1.0.3
  [8dfed614] Test v1.11.0
  [cf7118a7] UUIDs v1.11.0
  [4ec0a83e] Unicode v1.11.0
  [e66e0078] CompilerSupportLibraries_jll v1.3.0+1
  [4536629a] OpenBLAS_jll v0.3.30+0
  [bea87d4a] SuiteSparse_jll v7.10.1+0
  [8e850b90] libblastrampoline_jll v5.15.0+0
        Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading.
     Testing Running tests...
┌ Info: qec_run: starting
│   code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit")
│   error_model = Qecsim.GenericModels.DepolarizingErrorModel()
│   decoder = Qecsim.GenericModels.NaiveDecoder(10)
│   p = 0.25
│   random_seed = nothing
│   max_runs = 1000
└   max_failures = nothing
[ Info: qec_run: rng=Random.MersenneTwister(0x2f54ebd2905feb62478d5f93fb279289, 0xabd4310979c902f7d40362c9bd7e198e)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 1.0131510000000115, :time_steps => 1, :n_logical_commutations => [231, 234], :error_weight_total => 1293, :wall_time => 0.398535191, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.2586, :measurement_error_probability => 0.0, :error_probability => 0.25, :n_success => 649, :logical_failure_rate => 0.351, :custom_totals => nothing, :code => "5-qubit", :decoder => "Naive", :n_fail => 351, :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(0xec9e2ddc7ee0c403da63b50cbc28e60c, 0x67db5dae73e9c087ff93a6e195dff016)
[ 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 => 0.000262967, :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(0x8ce6c0e57ff49ec28f0aef5e202e5fae, 0x5f9cc3ef0662a510eb5b2434477b9b7b)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.6, :time_steps => 1, :n_logical_commutations => [3, 1], :error_weight_total => 10, :wall_time => 0.000408916, :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(0x87fa952e7baa804ac9baa70e9052d026, 0x9aebe26444cb86d407facd15c8cb556a)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 1.04, :time_steps => 1, :n_logical_commutations => [1, 1], :error_weight_total => 16, :wall_time => 0.000592384, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.32, :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 = 10
└   max_failures = 3
[ Info: qec_run: rng=Random.MersenneTwister(0xf244d94b5a9ba4a51a2c19917c2754fd, 0xc8a2cdb58482efc491dedb962cf169e4)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.36000000000000004, :time_steps => 1, :n_logical_commutations => [1, 0], :error_weight_total => 8, :wall_time => 0.000529385, :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 = 0.25
│   random_seed = nothing
│   max_runs = 1000
└   max_failures = nothing
[ Info: qec_run: rng=Random.MersenneTwister(0x45077b55dc206376a02b6192699bd94e, 0xea90d7e4a05ea129d61b23d4991c5d6f)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.9333559999999814, :time_steps => 1, :n_logical_commutations => [223, 222], :error_weight_total => 1262, :wall_time => 0.027479568, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.2524, :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(0x522d72e8d70aa20ba90c1f86c0857681, 0x4ef199ccac039030e3a2c65b22d789e7)
[ 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 => 0.000271598, :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(0x3b1cb8700f1cc45c994f79314f04fcb2, 0x61ac9fcd5d1d5a0d309001258d095f4c)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.56, :time_steps => 1, :n_logical_commutations => [0, 2], :error_weight_total => 8, :wall_time => 0.000525445, :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 => 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(0x28d911ac93acdee65a4120c59742684e, 0x226703554dcde815671ec8c659322658)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.4444444444444444, :time_steps => 1, :n_logical_commutations => [1, 2], :error_weight_total => 9, :wall_time => 0.000487105, :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 => 0.2222222222222222, :custom_totals => nothing, :code => "5-qubit", :decoder => "Naive", :n_fail => 2, :n_run => 9)
┌ Info: qec_run: starting
│   code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit")
│   error_model = Qecsim.GenericModels.DepolarizingErrorModel()
│   decoder = Qecsim.GenericModels.NaiveDecoder(10)
│   p = 0.25
│   random_seed = nothing
│   max_runs = 10
└   max_failures = 3
[ Info: qec_run: rng=Random.MersenneTwister(0x2b58f6a94cfeb6616f5bac360eea4743, 0x5bc0fba689855f3aacec8fd0c4ffe68f)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.89, :time_steps => 1, :n_logical_commutations => [1, 2], :error_weight_total => 9, :wall_time => 0.000399786, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.18, :measurement_error_probability => 0.0, :error_probability => 0.25, :n_success => 8, :logical_failure_rate => 0.2, :custom_totals => nothing, :code => "5-qubit", :decoder => "Naive", :n_fail => 2, :n_run => 10)
┌ Info: qec_run: starting
│   code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit")
│   error_model = Qecsim.GenericModels.DepolarizingErrorModel()
│   decoder = Qecsim.GenericModels.NaiveDecoder(10)
│   p = 0.1
│   random_seed = 13
│   max_runs = 1000
└   max_failures = nothing
[ Info: qec_run: rng=Random.MersenneTwister(0x5410db514147269f83c92808266cc643, 0x74d52d3dced48953f77713e0f592ff81)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.4977440000000004, :time_steps => 1, :n_logical_commutations => [60, 63], :error_weight_total => 516, :wall_time => 0.022298, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.1032, :measurement_error_probability => 0.0, :error_probability => 0.1, :n_success => 908, :logical_failure_rate => 0.092, :custom_totals => nothing, :code => "5-qubit", :decoder => "Naive", :n_fail => 92, :n_run => 1000)
┌ Info: qec_run: starting
│   code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit")
│   error_model = Qecsim.GenericModels.DepolarizingErrorModel()
│   decoder = Qecsim.GenericModels.NaiveDecoder(10)
│   p = 0.1
│   random_seed = 13
│   max_runs = 1000
└   max_failures = nothing
[ Info: qec_run: rng=Random.MersenneTwister(0x5410db514147269f83c92808266cc643, 0x74d52d3dced48953f77713e0f592ff81)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.4977440000000004, :time_steps => 1, :n_logical_commutations => [60, 63], :error_weight_total => 516, :wall_time => 0.021367039, :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#155"._DuckCode()
│   error_model = Main.var"##App.jl#155"._DuckErrorModel()
│   decoder = Main.var"##App.jl#155"._DuckDecoder()
│   p = 0.1
│   random_seed = nothing
│   max_runs = 10
└   max_failures = nothing
[ Info: qec_run: rng=Random.MersenneTwister(0xb94c3f547ca17032b5a81c26d1badbdd, 0xe3fbf2aae12dd8a1ae7bee6d71c18763)
[ 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 => 0.000567975, :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#155"._DuckCode()
│   error_model = Main.var"##App.jl#155"._DuckErrorModel()
│   decoder = Qecsim.GenericModels.NaiveDecoder(10)
│   p = 0.1
│   random_seed = nothing
│   max_runs = 10
└   max_failures = nothing
[ Info: qec_run: rng=Random.MersenneTwister(0xa6bd82b5731532c512662fcca9b873fc, 0xf2f0527c58a6d6a92454f57ca0054b26)
[ 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 => 0.000603694, :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#155"._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(0xb02bdff76ea19bb39865589890226c54, 0x8f1002738ecd578532a1fcc6c2c7895d)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.44000000000000006, :time_steps => 1, :n_logical_commutations => [1, 0], :error_weight_total => 6, :wall_time => 0.001123089, :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 => 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#155"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
│   decoder = Main.var"##App.jl#155"._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(0x419802f907c5a25df86335acea655c85, 0xca19d031821a6d26da8f12eaff24a785)
[ 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 => 0.000181139, :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#155"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
│   decoder = Main.var"##App.jl#155"._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(0x16be89cb219cd8e9b58f4e03e9683913, 0x472c59c86ca438aefb3353b02ebf310c)
[ 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 => 0.000180458, :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#155"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
│   decoder = Main.var"##App.jl#155"._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(0x03c7efae9f75327b11f59e32042294f0, 0x86106b274931fb4cdaf68375908c89e8)
[ 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 => 0.000120769, :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#155"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
│   decoder = Main.var"##App.jl#155"._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(0x74db40f9467f985d47f45b9f424b4bcd, 0x37724c57a0b686d9f40ac162b47d3860)
[ 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 => 0.000228828, :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#155"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
│   decoder = Main.var"##App.jl#155"._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(0x63d36830686d3ce77e3547bb57771348, 0x0ce2ce7436c9900ae1a75192a83705be)
[ 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 => 0.000148199, :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#155"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
│   decoder = Main.var"##App.jl#155"._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(0xa947b3f3ea308fdbdbbcadb6f020d268, 0xdd015a243b74397206b78c0b8f132ea4)
[ 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 => 0.000126738, :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#155"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
│   decoder = Main.var"##App.jl#155"._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(0xf94291d0db0e465e8b897a92272d1ebb, 0x4d1f8cfd52da51e21f59194d4ae9aab9)
[ 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 => 0.064681291, :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#155"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
│   decoder = Main.var"##App.jl#155"._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(0x87f781a16c03cf35932ed5b82baf85a8, 0x22456efb160b5af17bf06c1bbdc6e53e)
[ 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 => 0.000202778, :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#155"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
│   decoder = Main.var"##App.jl#155"._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(0x3415e01fb49aa39af41d5a3f5de335e2, 0xb2c27ca05b639a0564e9e3684ea83fb6)
[ 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 => 0.490768319, :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#155"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
│   decoder = Main.var"##App.jl#155"._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(0xc38f4e6932582c22895090abc91d568b, 0xac24cca0e83077c44abd06c2b17438f7)
[ 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 => 0.442290388, :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#155"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
│   decoder = Main.var"##App.jl#155"._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(0x73c54358a0eecfadd3db7ef725522900, 0xf29ba62d0f6784586ef3dc3f28a89bbd)
[ 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 => 0.37633789, :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#155"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
│   decoder = Main.var"##App.jl#155"._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(0x5ba65e6756e4d5263c499fc9b60e2676, 0x2cd591f2428d6e84119179a96f0fb33e)
[ 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 => 0.061558571, :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#155"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
│   decoder = Main.var"##App.jl#155"._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(0x035b7a88db784aecd7c8d874390c4cc3, 0xd79f197edba87fea8a26b5d3d5874a3f)
[ 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 => 0.478830577, :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#155"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
│   decoder = Main.var"##App.jl#155"._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(0xf683d42c1b8a5474a005a6290d5a4c2e, 0x93112d4e4032f95665025478c5d207f0)
[ 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 => 0.176356687, :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#155"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
│   decoder = Main.var"##App.jl#155"._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(0x76595d3b44f94cac1adb04bad919a259, 0x830d0b9c814fb109a7807aabd0c0ffd5)
┌ 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#155"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
│   decoder = Main.var"##App.jl#155"._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(0xa667d19ac6dd1979626482a41238fe72, 0xec7f3c825f72c0842507e5b6c80b5be5)
┌ 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#155"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
│   decoder = Main.var"##App.jl#155"._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(0xd412aba2f50d35b560f9db46ccc8d343, 0x74eda10efa1dc63b7f2dc775d791019c)
┌ 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(0x0d5523c5e8f34ddd9bee360795996e51, 0x38ce8a42c87673bf5037dd927feecf4b)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 1.0900000000000003, :time_steps => 1, :n_logical_commutations => [2, 2], :error_weight_total => 9, :wall_time => 0.000316517, :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(0x93348414a5edd4c8ceb8a0f6f7880f02, 0x0879f0e2c2765de47fd13765e49a5afa)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.21000000000000002, :time_steps => 1, :n_logical_commutations => [1, 2], :error_weight_total => 13, :wall_time => 0.000319787, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.26, :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(0xae278107c985abbb5e41761c063517f6, 0x00caf47ea7192072650187011c00178f)
[ 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 => 0.000400146, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.04, :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(0x8e1583dafab03b05415904f8ff920c38, 0xfbbe943860a2f0d8880b926cb162f10c)
[ 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 => 0.000491915, :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.BitFlipErrorModel()
│   decoder = Qecsim.GenericModels.NaiveDecoder(10)
│   p = 0.1
│   random_seed = nothing
│   max_runs = 10
└   max_failures = nothing
[ Info: qec_run: rng=Random.MersenneTwister(0x06cf171d43fd822d0c3ffe293d899109, 0xa3f073548f29fc81273c715a58e7c008)
[ 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 => 0.019025722, :n_k_d => (5, 1, 3), :error_model => "Bit-flip", :physical_error_rate => 0.06, :measurement_error_probability => 0.0, :error_probability => 0.1, :n_success => 10, :logical_failure_rate => 0.0, :custom_totals => nothing, :code => "5-qubit", :decoder => "Naive", :n_fail => 0, :n_run => 10)
┌ 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#155"._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(0x205a02b93fdc896fd60165724da138fd, 0x0b524bd1f85956c7dbe3592db6cd3f01)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 1.5555555555555556, :time_steps => 1, :n_logical_commutations => nothing, :error_weight_total => 5, :wall_time => 0.033287671, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.3333333333333333, :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#155"._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(0x06147d63fd320fdfd3b9ec51fe8b06bc, 0xb44923ae2dac09f58223e0f4f3e9e6d2)
[ 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 => 0.000307297, :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(0x9a99152ce416ae3182b0a9577ae88cd9, 0xa39afcd60b41857bef925cef2f258f28)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.24, :time_steps => 1, :n_logical_commutations => [0, 0], :error_weight_total => 6, :wall_time => 0.000439916, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.12, :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(0x31f188ae78030475cb3fb455104a1c8b, 0xf84f4e9a80dc64b7e6274d2410a5d794)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.40999999999999986, :time_steps => 1, :n_logical_commutations => [0, 1], :error_weight_total => 3, :wall_time => 0.000484105, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :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 => "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(0xc45b05044515dadae304f411c33a6818, 0xc52e5da82805884d637d9c5563629e1d)
[ 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 => 0.000413446, :n_k_d => (5, 1, 3), :error_model => "Bit-flip", :physical_error_rate => 0.04, :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":0.16000000000000006},{"time_steps":1},{"n_logical_commutations":[0,0]},{"error_weight_total":2},{"wall_time":0.000413446},{"n_k_d":[5,1,3]},{"error_model":"Bit-flip"},{"physical_error_rate":0.04},{"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(0x656967f739dd0e6566d15222caccffdd, 0x32b54e92706e3291246a2ce7ee9fc983)
[ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.25, :time_steps => 1, :n_logical_commutations => [0, 0], :error_weight_total => 5, :wall_time => 0.000385156, :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 => 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  1m17.9s
  error.jl                                 |    3      3     3.8s
  PauliTools.jl                            |   43     43     9.1s
  Model.jl                                 |   21     21     3.4s
  models/BasicModels.jl                    |   13     13     0.6s
  models/GenericModels/simpleerrormodel.jl |   44     44     9.9s
  models/GenericModels/naivedecoder.jl     |   16     16     3.1s
  App.jl                                   |  101    101    47.9s
     Testing Qecsim tests passed 

Testing completed after 86.91s

PkgEval succeeded after 149.2s