Switch order of challenges

.gitmodules

@@ -4,3 +4,6 @@
 [submodule "lib/cel-thesis"]
 	path = lib/cel-thesis
 	url = ssh://git@100.123.176.93:2222/an.tsouchlos/cel-thesis.git
+[submodule "lib/latex-common"]
+	path = lib/latex-common
+	url = ssh://git@100.123.176.93:2222/an.tsouchlos/latex-common.git

.tmux_session.sh

@@ -1,7 +1,6 @@
 #!/bin/bash
 SESSION=$1
 
-tmux send-keys -t "$SESSION:1" "cd ~/workspace/private/ma-thesis/" Enter
 tmux send-keys -t "$SESSION:1" "./.setup_local_env.sh" Enter
 # tmux send-keys -t "$SESSION:1" "export TEXINPUTS=./lib/cel-slides-template-2025:\$TEXINPUTS" C-m
 tmux send-keys -t "$SESSION:1" "trap './.clean_local_env.sh' EXIT" Enter

Makefile

@@ -1,4 +1,5 @@
-DOCUMENTS := $(patsubst src/%/main.tex,build/%.pdf,$(wildcard src/*/main.tex))
+DOCUMENTS := build/midterm_presentation.pdf build/thesis.pdf
+# DOCUMENTS := build/thesis.pdf
 
 .PHONY: all
 all: $(DOCUMENTS)
@@ -6,7 +7,7 @@ all: $(DOCUMENTS)
 build/%.pdf: src/%/main.tex build/prepared
 	TEXINPUTS=./lib/cel-slides-template-2025:$(dir $<):$$TEXINPUTS \
 	latexmk -outdir=build/$* $<
-	mv build/main.pdf $@
+	mv build/thesis/main.pdf $@
 
 build/prepared:
 	mkdir -p build

src/final_presentation/copy_sim_results.sh

@@ -0,0 +1,150 @@
+#!/bin/bash
+
+BASE_PATH="/home/andreas/workspace/private/ma-sw-results/outputs/"
+
+# Copy BP param exploration results
+
+function post_process_LERs() {
+    local filename="$1"
+
+    python3 -c "
+import pandas as pd
+import numpy as np
+
+df = pd.read_csv('${filename}')
+df['LER_per_round'] = 1 - (1 - df['LER'])**(1/12)
+df['num_errors'] = df['num_trials'] * df['LER']
+df.to_csv('${filename}', index=False)
+"       
+}
+
+i=1
+sp="/-\|"
+
+# echo "Copying BP param exploration results..."
+# echo -n ' '
+# for decoder in "WindowingSyndromeMinSumDecoder" "WindowingSyndromeSpaDecoder"; do
+#     for max_iter in 32 200 5000; do
+#         for pass_soft_info in "True" "False"; do
+#             for F in 1 2 3; do
+#                 for W in 3 4 5; do
+#                     SRC_PATH="${BASE_PATH}+rust_exp=soft_v_hard_bp,decoder.class_name=${decoder},decoder.max_iter=${max_iter},decoder.pass_soft_info=${pass_soft_info},system.F=${F},system.W=${W}/"
+#                     LATEST_RESULTS_DIR=$(ls -t ${SRC_PATH} | head -1)
+#                     SRC_FILE="${SRC_PATH}/${LATEST_RESULTS_DIR}/LERs.csv"
+#                     DEST_DIR="res/sim/WF/${decoder}/max_iter_${max_iter}/pass_soft_info_${pass_soft_info}/F_${F}/W_${W}/"
+#                     mkdir -p ${DEST_DIR}
+#                     DEST_FILE="${DEST_DIR}/LERs.csv"
+#                     cp ${SRC_FILE} ${DEST_FILE}
+#                     post_process_LERs ${DEST_FILE}
+#                     printf "\b${sp:i++%${#sp}:1}"
+#                 done
+#             done
+#         done
+#     done
+# done
+#
+# # Copy BPGD param exploration results
+#
+# echo -e "\rCopying BPGD param exploration results..."
+# echo -n ' '
+# for max_iter in 32 200 5000; do
+#     for pass_soft_info in "True" "False"; do
+#         for F in 1 2 3; do
+#             for W in 3 4 5; do
+#                 SRC_PATH="${BASE_PATH}/+rust_exp=soft_v_hard_bpgd,decoder.class_name=WindowingSyndromeSpaGdDecoder,decoder.max_iter=${max_iter},decoder.pass_soft_info=${pass_soft_info},system.F=${F},system.W=${W}/"
+#                 LATEST_RESULTS_DIR=$(ls -t ${SRC_PATH} | head -1)
+#                 SRC_FILE="${SRC_PATH}/${LATEST_RESULTS_DIR}/LERs.csv"
+#                 DEST_DIR="res/sim/WF/WindowingSyndromeSpaGdDecoder/max_iter_${max_iter}/pass_soft_info_${pass_soft_info}/F_${F}/W_${W}/"
+#                 mkdir -p ${DEST_DIR}
+#                 DEST_FILE="${DEST_DIR}/LERs.csv"
+#                 cp ${SRC_FILE} ${DEST_FILE}
+#                 post_process_LERs ${DEST_FILE}
+#                 printf "\b${sp:i++%${#sp}:1}"
+#             done
+#         done
+#     done
+# done
+#
+# # Copy BP over max iter. results
+#
+# echo -e "\rCopying BP over max. iter. results..."
+# echo -n ' '
+# for decoder in "WindowingSyndromeMinSumDecoder" "WindowingSyndromeSpaDecoder"; do
+#     for p in 0.001 0.0025 0.004; do
+#         for pass_soft_info in "True" "False"; do
+#             for F in 1 2 3; do
+#                 for W in 3 4 5; do
+#                     SRC_PATH="${BASE_PATH}+rust_exp=max_iter_bp,decoder.class_name=${decoder},decoder.pass_soft_info=${pass_soft_info},simulation.phy_err_rate=${p},system.F=${F},system.W=${W}/"
+#                     LATEST_RESULTS_DIR=$(ls -t ${SRC_PATH} | head -1)
+#                     SRC_FILE="${SRC_PATH}/${LATEST_RESULTS_DIR}/LERs.csv"
+#                     DEST_DIR="res/sim/max_iter/${decoder}/p_${p}/pass_soft_info_${pass_soft_info}/F_${F}/W_${W}"
+#                     mkdir -p ${DEST_DIR}
+#                     DEST_FILE="${DEST_DIR}/LERs.csv"
+#                     cp ${SRC_FILE} ${DEST_FILE}
+#                     post_process_LERs ${DEST_FILE}
+#                     printf "\b${sp:i++%${#sp}:1}"
+#                 done
+#             done
+#         done
+#     done
+# done
+#
+# # Copy BPGD over max iter. results
+#
+# echo -e "\rCopying BPGD over max. iter. results..."
+# echo -n ' '
+# for p in 0.001 0.0025 0.004; do
+#     for pass_soft_info in "True" "False"; do
+#         for F in 1 2 3; do
+#             for W in 3 4 5; do
+#                 SRC_PATH="${BASE_PATH}+rust_exp=max_iter_bpgd,decoder.class_name=WindowingSyndromeSpaGdDecoder,decoder.pass_soft_info=${pass_soft_info},simulation.phy_err_rate=${p},system.F=${F},system.W=${W}/"
+#                 LATEST_RESULTS_DIR=$(ls -t ${SRC_PATH} | head -1)
+#                 SRC_FILE="${SRC_PATH}/${LATEST_RESULTS_DIR}/LERs.csv"
+#                 DEST_DIR="res/sim/max_iter/WindowingSyndromeSpaGdDecoder/p_${p}/pass_soft_info_${pass_soft_info}/F_${F}/W_${W}"
+#                 mkdir -p ${DEST_DIR}
+#                 DEST_FILE="${DEST_DIR}/LERs.csv"
+#                 cp ${SRC_FILE} ${DEST_FILE}
+#                 post_process_LERs ${DEST_FILE}
+#                 printf "\b${sp:i++%${#sp}:1}"
+#             done
+#         done
+#     done
+# done
+#
+# # Copy BP over max iter. results
+#
+# echo -e "\rCopying one-shot simulation results..."
+# echo -n ' '
+# for decoder in "SyndromeMinSumDecoder" "SyndromeSpaDecoder" "SyndromeSpaGdDecoder"; do
+#     for max_iter in 32 200 5000; do
+#         SRC_PATH="${BASE_PATH}+rust_exp=whole_bp_bpgd,decoder.class_name=${decoder},decoder.max_iter=${max_iter},system.F=1,system.W=5/"
+#         LATEST_RESULTS_DIR=$(ls -t ${SRC_PATH} | head -1)
+#         SRC_FILE="${SRC_PATH}/${LATEST_RESULTS_DIR}/LERs.csv"
+#         DEST_DIR="res/sim/one-shot/${decoder}/max_iter_${max_iter}/"
+#         mkdir -p ${DEST_DIR}
+#         DEST_FILE="${DEST_DIR}/LERs.csv"
+#         cp ${SRC_FILE} ${DEST_FILE}
+#         post_process_LERs ${DEST_FILE}
+#         printf "\b${sp:i++%${#sp}:1}"
+#     done
+# done
+
+# Copy BPGD decimation passing
+
+echo -e "\rCopying BPGD param exploration results..."
+echo -n ' '
+for max_iter in 32 200 5000; do
+    for F in 1 2 3; do
+        for W in 3 4 5; do
+            SRC_PATH="${BASE_PATH}+rust_exp=soft_v_hard_bpgd_pass_channel,decoder.class_name=WindowingSyndromeSpaGdDecoder,decoder.max_iter=${max_iter},decoder.pass_soft_info=True,system.F=${F},system.W=${W}"
+            LATEST_RESULTS_DIR=$(ls -t ${SRC_PATH} | head -1)
+            SRC_FILE="${SRC_PATH}/${LATEST_RESULTS_DIR}/LERs.csv"
+            DEST_DIR="res/sim/WF/WindowingSyndromeSpaGdDecoderPassDecimation/max_iter_${max_iter}/pass_soft_info_True/F_${F}/W_${W}/"
+            mkdir -p ${DEST_DIR}
+            DEST_FILE="${DEST_DIR}/LERs.csv"
+            cp ${SRC_FILE} ${DEST_FILE}
+            post_process_LERs ${DEST_FILE}
+            printf "\b${sp:i++%${#sp}:1}"
+        done
+    done
+done

src/final_presentation/gen_sliding_window_overlap_image.py

@@ -0,0 +1,195 @@
+import warnings
+from typing import Sequence
+
+import numpy as np
+import matplotlib.pyplot as plt
+import matplotlib.patches as pt
+from scipy.sparse import csc_matrix
+
+from quits.decoder import spacetime
+from quits.decoder import detector_error_model_to_matrix
+
+from quits.qldpc_code import BbCode
+from quits import ErrorModel, CircuitBuildOptions
+
+
+def build_bb_circuit(N: int, num_rounds: int, p: float):
+    # fmt: off
+    if N == 72:
+        code = BbCode(l=6, m=6, A_x_pows=[3], A_y_pows=[1, 2], B_x_pows=[1, 2], B_y_pows=[3])
+    elif N == 90:
+        code = BbCode(l=15, m=3, A_x_pows=[9], A_y_pows=[1, 2], B_x_pows=[2, 7], B_y_pows=[0])
+    elif N == 108:
+        code = BbCode(l=9, m=6, A_x_pows=[3], A_y_pows=[1, 2], B_x_pows=[1, 2], B_y_pows=[3])
+    elif N == 144:
+        code = BbCode(l=12, m=6, A_x_pows=[3], A_y_pows=[1, 2], B_x_pows=[1, 2], B_y_pows=[3])
+    elif N == 288:
+        code = BbCode(l=12, m=12, A_x_pows=[3], A_y_pows=[2, 7], B_x_pows=[1, 2], B_y_pows=[3])
+    elif N == 360:
+        code = BbCode(l=30, m=6, A_x_pows=[9], A_y_pows=[1, 2], B_x_pows=[25, 26], B_y_pows=[3])
+    elif N == 756:
+        code = BbCode(l=21, m=18, A_x_pows=[3], A_y_pows=[10, 17], B_x_pows=[3, 19], B_y_pows=[5])
+    else:
+        assert False, "Unsupported code size"
+    # fmt: on
+
+    circuit = code.build_circuit(
+        error_model=ErrorModel(p, p, p, p),
+        num_rounds=num_rounds,
+        basis="Z",
+        circuit_build_options=CircuitBuildOptions(),
+        seed=1,
+    )
+
+    return code, circuit
+
+
+
+
+def compute_num_windows(num_rounds: int, W: int, F: int):
+    """
+    This was extracted from the function `sliding_window_circuit_mem()` of
+    `quits.decoder`.
+    """
+    if 2 + num_rounds - W >= 0:
+        # num_cor_rounds = num of windows before the last window
+        num_cor_rounds = (2 + num_rounds - W) // F
+
+        # we can slide one more window if the remaining rounds > W
+        if (2 + num_rounds - W) % F != 0:
+            num_cor_rounds += 1
+    else:
+        num_cor_rounds = 0
+        warnings.warn(
+            "Window size larger than the syndrome extraction rounds: Doing"
+            " whole history correction"
+        )
+
+    return num_cor_rounds + 1
+
+
+def get_overlap_info(
+    col_start_indices: Sequence, W: int, F: int, m: int, win_check_set: Sequence
+):
+    def i_B(k: int):
+        return col_start_indices[k]
+
+    def i_E(k: int):
+        return i_B(k) + win_check_set[k].shape[1]
+
+    def j_B(k: int):
+        return F * (k) * m
+
+    def j_E(k: int):
+        return (F * k + W) * m
+
+    num_windows = len(win_check_set)
+
+    overlap_begin_positions = []
+    for k in range(num_windows - 1):
+        overlap_begin_positions.append((j_B(k + 1) - j_B(k), i_B(k + 1) - i_B(k)))
+
+    overlap_end_positions = []
+    for k in range(1, num_windows):
+        overlap_end_positions.append((j_E(k - 1) - j_B(k), i_E(k - 1) - i_B(k)))
+
+    return overlap_begin_positions, overlap_end_positions
+
+
+def reconstruct_window_start_col_indices(win_observable_set: Sequence):
+    """
+    This function effectively just reconstructs the `col_min` values of each
+    window, from the `spacetime()` function of `quits.decoder`.
+    """
+    num_windows = len(win_observable_set)
+
+    col_mins = [0]
+
+    for k in range(num_windows - 1):
+        col_mins.append(col_mins[-1] + win_observable_set[k].shape[1])
+
+    return col_mins
+
+
+
+
+num_rounds = 12
+N = 72
+p = 0.005
+W = 5
+F = 3
+
+#
+# Get detector error matrix and split it into windows
+#
+
+code, circuit = build_bb_circuit(N, num_rounds, p)
+model = circuit.detector_error_model(decompose_errors=False)
+check_matrix, observable_matrix, priors = detector_error_model_to_matrix(model)
+
+num_windows = compute_num_windows(num_rounds, W, F)
+win_check_set, win_observable_set, win_priors_set, win_update = spacetime(
+    circuit, code.hz, W, F, num_windows - 1
+)
+
+col_start_indices = reconstruct_window_start_col_indices(win_observable_set)
+
+#
+# Paint rectangles
+#
+
+custom_colors = [
+    (162/255, 34/255, 35/255),
+    (223/255, 155/255, 27/255),
+    (70/255, 100/255, 170/255),
+    (163/255, 16/255, 124/255),
+]
+
+fig, ax = plt.subplots(1, 1, figsize=(10, 10))
+ax.spy(check_matrix.toarray())
+
+colors = [custom_colors[i % len(custom_colors)] for i in range(num_windows)]
+
+m = code.hz.shape[0]
+# for win_idx in range(num_windows):
+#     col_start_idx = col_start_indices[win_idx]
+#     row_start_idx = win_idx * F * m
+#
+#     ax.add_patch(
+#         pt.Rectangle(
+#             (col_start_idx, row_start_idx),
+#             win_check_set[win_idx].shape[1],
+#             win_check_set[win_idx].shape[0],
+#             fc="none",
+#             ec=colors[win_idx],
+#         )
+#     )
+
+# overlap_begin_positions, overlap_end_positions = get_overlap_info(
+#     col_start_indices, W, F, m, win_check_set
+# )
+
+# for k in range(len(win_check_set) - 1):
+#     ax.add_patch(
+#         pt.Rectangle(
+#             (
+#                 overlap_begin_positions[k][1] + col_start_indices[k],
+#                 overlap_begin_positions[k][0] + F * k * m,
+#             ),
+#             win_check_set[k].shape[1] - overlap_begin_positions[k][1],
+#             win_check_set[k].shape[0] - overlap_begin_positions[k][0],
+#             fc=colors[k],
+#             ec=colors[k],
+#             alpha=0.3,
+#         )
+#     )
+
+
+ax.set_xticks([])
+ax.set_yticks([])
+
+fig.savefig('72_bb_dem_no_windows.pdf', bbox_inches='tight')
+
+plt.show()
+
+

src/final_presentation/res/literature/yao_bp.csv

@@ -0,0 +1,8 @@
+p, FER
+0.040000, 0.043667
+0.049986, 0.087737
+0.059972, 0.148066
+0.069958, 0.255386
+0.079945, 0.460128
+0.089931, 0.759770
+0.100000, 0.965714

src/final_presentation/res/literature/yao_bpgd_1.csv

@@ -0,0 +1,8 @@
+p, FER
+0.040083, 0.000029
+0.049986, 0.000393
+0.059972, 0.006271
+0.069958, 0.055503
+0.080028, 0.244488
+0.090014, 0.559895
+0.100000, 0.904565

src/final_presentation/res/literature/yao_bpgd_10.csv

@@ -0,0 +1,8 @@
+p, FER
+0.039917, 0.000006
+0.049986, 0.000179
+0.059972, 0.003882
+0.070042, 0.038312
+0.080028, 0.229007
+0.090014, 0.610921
+0.100083, 0.885054

src/final_presentation/res/literature/yao_bpgd_100.csv

@@ -0,0 +1,8 @@
+p, FER
+0.040083, 0.000001
+0.050153, 0.000095
+0.060139, 0.003121
+0.070125, 0.036677
+0.079945, 0.255386
+0.090014, 0.513130
+0.100000, 0.847287

src/final_presentation/res/literature/yao_bpgd_70.csv

@@ -0,0 +1,8 @@
+p, FER
+0.040000, 0.000002
+0.049986, 0.000119
+0.060055, 0.003716
+0.069958, 0.042725
+0.080111, 0.224068
+0.090014, 0.572237
+0.100000, 0.904565

src/final_presentation/res/sim/WF/WindowingSyndromeMinSumDecoder/max_iter_200/pass_soft_info_False/F_1/W_3/LERs.csv

@@ -0,0 +1,8 @@
+physical_p,num_trials,LER,LER_per_round,num_errors
+0.001,12000,0.01675,0.0014066653566989773,201.0
+0.0015,6000,0.048,0.004090796817048492,288.0
+0.002,2000,0.124,0.010971798240880681,248.0
+0.0025,2000,0.258,0.024560528611376475,516.0
+0.003,2000,0.441,0.04731136584915907,882.0
+0.0035,2000,0.6485,0.08344096230884013,1297.0
+0.004,2000,0.8085,0.1286738833656923,1617.0

src/final_presentation/res/sim/WF/WindowingSyndromeMinSumDecoder/max_iter_200/pass_soft_info_False/F_1/W_4/LERs.csv

@@ -0,0 +1,8 @@
+physical_p,num_trials,LER,LER_per_round,num_errors
+0.001,50000,0.004,0.0003339460107422143,200.0
+0.0015,14000,0.016,0.0013432122426282334,224.0
+0.002,6000,0.0538333333333333,0.004600762670813663,322.99999999999983
+0.0025,2000,0.1515,0.01359714508496701,303.0
+0.003,2000,0.29,0.028137416075114108,580.0
+0.0035,2000,0.485,0.05379783863208576,970.0
+0.004,2000,0.657,0.08530878077130555,1314.0

src/final_presentation/res/sim/WF/WindowingSyndromeMinSumDecoder/max_iter_200/pass_soft_info_False/F_1/W_5/LERs.csv

@@ -0,0 +1,8 @@
+physical_p,num_trials,LER,LER_per_round,num_errors
+0.001,74000,0.0027837837837837,0.000232278495492233,205.9999999999938
+0.0015,20000,0.01065,0.0008918618165982828,213.0
+0.002,6000,0.0386666666666666,0.003280778882142177,231.9999999999996
+0.0025,2000,0.1005,0.008787514236290539,201.0
+0.003,2000,0.2145,0.019918520513549032,429.0
+0.0035,2000,0.3975,0.041343353576980935,795.0
+0.004,2000,0.5975,0.07303396011007879,1195.0

src/final_presentation/res/sim/WF/WindowingSyndromeMinSumDecoder/max_iter_200/pass_soft_info_False/F_2/W_3/LERs.csv

@@ -0,0 +1,8 @@
+physical_p,num_trials,LER,LER_per_round,num_errors
+0.001,4000,0.05975,0.005120966383739489,239.0
+0.0015,2000,0.12,0.010596241035318976,240.0
+0.002,2000,0.2925,0.02842304828215303,585.0
+0.0025,2000,0.457,0.049614097064849094,914.0
+0.003,2000,0.6565,0.08519774084658893,1313.0
+0.0035,2000,0.807,0.12810716433630664,1614.0
+0.004,2000,0.927,0.19596138832598886,1854.0

src/final_presentation/res/sim/WF/WindowingSyndromeMinSumDecoder/max_iter_200/pass_soft_info_False/F_2/W_4/LERs.csv

@@ -0,0 +1,8 @@
+physical_p,num_trials,LER,LER_per_round,num_errors
+0.001,30000,0.0074,0.0006187681363896136,222.0
+0.0015,8000,0.027375,0.002310383366790014,219.0
+0.002,4000,0.081,0.007014379974311313,324.0
+0.0025,2000,0.1935,0.01776132322220747,387.0
+0.003,2000,0.3505,0.03532372820929974,701.0
+0.0035,2000,0.549,0.06420358199217457,1098.0
+0.004,2000,0.736,0.10504679589131227,1472.0

src/final_presentation/res/sim/WF/WindowingSyndromeMinSumDecoder/max_iter_200/pass_soft_info_False/F_2/W_5/LERs.csv

@@ -0,0 +1,8 @@
+physical_p,num_trials,LER,LER_per_round,num_errors
+0.001,56000,0.0035892857142857,0.0002996003321397156,200.99999999999918
+0.0015,16000,0.0141875,0.001190050056010028,227.0
+0.002,6000,0.0458333333333333,0.003902110220303623,274.99999999999983
+0.0025,2000,0.127,0.011254499159800035,254.0
+0.003,2000,0.255,0.024232483954962025,510.0
+0.0035,2000,0.455,0.049322879977013234,910.0
+0.004,2000,0.629,0.07930773938046853,1258.0

src/final_presentation/res/sim/WF/WindowingSyndromeMinSumDecoder/max_iter_200/pass_soft_info_False/F_3/W_3/LERs.csv

@@ -0,0 +1,8 @@
+physical_p,num_trials,LER,LER_per_round,num_errors
+0.001,2000,0.632,0.07993046327730713,1264.0
+0.0015,2000,0.7685,0.11479080536457342,1537.0
+0.002,2000,0.8905,0.16832973055592892,1781.0
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src/final_presentation/res/sim/WF/WindowingSyndromeMinSumDecoder/max_iter_200/pass_soft_info_False/F_3/W_4/LERs.csv

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src/final_presentation/res/sim/WF/WindowingSyndromeMinSumDecoder/max_iter_200/pass_soft_info_False/F_3/W_5/LERs.csv

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src/final_presentation/res/sim/WF/WindowingSyndromeMinSumDecoder/max_iter_200/pass_soft_info_True/F_1/W_3/LERs.csv

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src/final_presentation/res/sim/WF/WindowingSyndromeMinSumDecoder/max_iter_200/pass_soft_info_True/F_1/W_4/LERs.csv

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src/final_presentation/res/sim/WF/WindowingSyndromeMinSumDecoder/max_iter_200/pass_soft_info_True/F_1/W_5/LERs.csv

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src/final_presentation/res/sim/WF/WindowingSyndromeMinSumDecoder/max_iter_200/pass_soft_info_True/F_2/W_3/LERs.csv

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src/final_presentation/res/sim/WF/WindowingSyndromeMinSumDecoder/max_iter_200/pass_soft_info_True/F_2/W_4/LERs.csv

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src/final_presentation/res/sim/WF/WindowingSyndromeMinSumDecoder/max_iter_32/pass_soft_info_False/F_1/W_3/LERs.csv

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src/final_presentation/res/sim/WF/WindowingSyndromeMinSumDecoder/max_iter_5000/pass_soft_info_False/F_1/W_3/LERs.csv

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src/final_presentation/res/sim/WF/WindowingSyndromeMinSumDecoder/max_iter_5000/pass_soft_info_False/F_1/W_4/LERs.csv

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src/final_presentation/res/sim/WF/WindowingSyndromeMinSumDecoder/max_iter_5000/pass_soft_info_False/F_1/W_5/LERs.csv

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src/final_presentation/res/sim/WF/WindowingSyndromeMinSumDecoder/max_iter_5000/pass_soft_info_False/F_2/W_3/LERs.csv

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src/final_presentation/res/sim/WF/WindowingSyndromeMinSumDecoder/max_iter_5000/pass_soft_info_False/F_2/W_4/LERs.csv

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src/final_presentation/res/sim/WF/WindowingSyndromeMinSumDecoder/max_iter_5000/pass_soft_info_False/F_2/W_5/LERs.csv

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src/final_presentation/res/sim/WF/WindowingSyndromeMinSumDecoder/max_iter_5000/pass_soft_info_False/F_3/W_3/LERs.csv

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src/final_presentation/res/sim/WF/WindowingSyndromeMinSumDecoder/max_iter_5000/pass_soft_info_False/F_3/W_5/LERs.csv

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src/final_presentation/res/sim/WF/WindowingSyndromeMinSumDecoder/max_iter_5000/pass_soft_info_True/F_1/W_3/LERs.csv

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src/final_presentation/res/sim/WF/WindowingSyndromeMinSumDecoder/max_iter_5000/pass_soft_info_True/F_1/W_5/LERs.csv

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src/final_presentation/res/sim/WF/WindowingSyndromeMinSumDecoder/max_iter_5000/pass_soft_info_True/F_2/W_3/LERs.csv

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src/final_presentation/res/sim/WF/WindowingSyndromeSpaDecoder/max_iter_200/pass_soft_info_False/F_1/W_3/LERs.csv

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src/final_presentation/res/sim/WF/WindowingSyndromeSpaDecoder/max_iter_200/pass_soft_info_True/F_1/W_4/LERs.csv

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src/final_presentation/res/sim/WF/WindowingSyndromeSpaDecoder/max_iter_200/pass_soft_info_True/F_1/W_5/LERs.csv

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src/final_presentation/res/sim/WF/WindowingSyndromeSpaDecoder/max_iter_200/pass_soft_info_True/F_2/W_3/LERs.csv

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src/final_presentation/res/sim/WF/WindowingSyndromeSpaDecoder/max_iter_200/pass_soft_info_True/F_2/W_4/LERs.csv

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src/final_presentation/res/sim/WF/WindowingSyndromeSpaDecoder/max_iter_200/pass_soft_info_True/F_2/W_5/LERs.csv

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src/final_presentation/res/sim/WF/WindowingSyndromeSpaDecoder/max_iter_200/pass_soft_info_True/F_3/W_3/LERs.csv

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src/final_presentation/res/sim/WF/WindowingSyndromeSpaDecoder/max_iter_200/pass_soft_info_True/F_3/W_4/LERs.csv

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src/final_presentation/res/sim/WF/WindowingSyndromeSpaDecoder/max_iter_200/pass_soft_info_True/F_3/W_5/LERs.csv

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src/final_presentation/res/sim/WF/WindowingSyndromeSpaDecoder/max_iter_32/pass_soft_info_False/F_1/W_3/LERs.csv

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src/final_presentation/res/sim/WF/WindowingSyndromeSpaDecoder/max_iter_32/pass_soft_info_False/F_1/W_4/LERs.csv

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src/final_presentation/res/sim/WF/WindowingSyndromeSpaDecoder/max_iter_32/pass_soft_info_False/F_1/W_5/LERs.csv

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src/final_presentation/res/sim/WF/WindowingSyndromeSpaDecoder/max_iter_32/pass_soft_info_False/F_2/W_3/LERs.csv

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src/final_presentation/res/sim/WF/WindowingSyndromeSpaDecoder/max_iter_32/pass_soft_info_False/F_2/W_4/LERs.csv

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src/final_presentation/res/sim/WF/WindowingSyndromeSpaDecoder/max_iter_32/pass_soft_info_False/F_2/W_5/LERs.csv

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src/final_presentation/res/sim/WF/WindowingSyndromeSpaDecoder/max_iter_32/pass_soft_info_False/F_3/W_3/LERs.csv

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src/final_presentation/res/sim/WF/WindowingSyndromeSpaDecoder/max_iter_32/pass_soft_info_False/F_3/W_4/LERs.csv

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src/final_presentation/res/sim/WF/WindowingSyndromeSpaDecoder/max_iter_32/pass_soft_info_False/F_3/W_5/LERs.csv

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src/final_presentation/res/sim/WF/WindowingSyndromeSpaDecoder/max_iter_32/pass_soft_info_True/F_1/W_3/LERs.csv

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