diff --git a/example.py b/example.py
index 8b31b64..b7892dd 100644
--- a/example.py
+++ b/example.py
@@ -1,10 +1,7 @@
 from src.main import draw_maps, draw_maps_editor
 
-import time
-# draw_maps_editor("data/kk_swap_2d.csv", None)
-draw_maps_editor("data/size-7/mds_katz_cen_2d.csv", None)
+# open editor make generated from mds_katz_cen_2d.csv dataset.
+draw_maps_editor("data/size-7/mds_katz_cen_2d.csv")
 
-# s = time.time()
-# draw_maps("data/size-7/mds_katz_cen_2d.csv", "pngs/size-7/mds_katz_cen_2d_daq", config_id='iterative')
-# e = time.time()
-# print(f"{e-s}s")
+# generate .png of mds_katz_cen_2d.csv dataset with iterative label generation method
+draw_maps("data/size-7/mds_katz_cen_2d.csv", "./mds_katz_cen_2d_daq", config_id='iterative')
diff --git a/measurements/loss_vs_time_plot.py b/measurements/loss_vs_time_plot.py
deleted file mode 100644
index dc0ec02..0000000
--- a/measurements/loss_vs_time_plot.py
+++ /dev/null
@@ -1,74 +0,0 @@
-import pandas as pd
-import matplotlib.pyplot as plt
-
-def plot_optimization_graph(csv_file_path):
-    # Load the data from a CSV file, splitting columns by the semicolon delimiter
-    data = pd.read_csv(csv_file_path, sep=';')
-
-    # Rename the columns for clarity
-    data.columns = ['source_data', 'config_id', 'out_data', 'time', 'Loss']
-
-    # Ensure the required columns ('time', 'config_id', 'Loss') are present
-    required_columns = {'time', 'config_id', 'Loss'}
-    if not required_columns.issubset(data.columns):
-        raise ValueError(f"CSV file must contain the following columns: {required_columns}")
-
-    # Create a new column 'OptimizationType' by formatting the 'config_id' column
-    # Replace underscores with spaces and capitalize each word
-    data['OptimizationType'] = data['config_id'].str.replace('_', ' ').str.title()
-
-    # Convert 'time' and 'Loss' columns to numeric, coercing errors to NaN
-    data['time'] = pd.to_numeric(data['time'], errors='coerce')
-    data['Loss'] = pd.to_numeric(data['Loss'], errors='coerce')
-
-    # Begin plotting with matplotlib
-    plt.figure(figsize=(10, 6))  # Set the figure size
-
-    # Iterate through each unique optimization type to plot them separately
-    for opt_type, color in zip(data['OptimizationType'].unique(), ['orange', 'blue', 'green']):
-        # Filter the data for the current optimization type
-        subset = data[data['OptimizationType'] == opt_type]
-
-        # Scatter plot for the current optimization type
-        plt.scatter(
-            subset['time'],  # X-axis: time
-            subset['Loss'],  # Y-axis: loss
-            label=opt_type,  # Legend label
-            s=100,  # Marker size
-            color=color
-        )
-
-        # Calculate mean and variance for each optimization type
-        mean_loss = subset['Loss'].mean()
-
-        # Plot the mean as a horizontal line
-        plt.axhline(
-            y=mean_loss,  # Horizontal line at mean loss
-            color=color, linestyle='solid', linewidth=1, label=f"{opt_type} Mean"
-        )
-
-    # Set both axes to a logarithmic scale
-    plt.xscale('log')
-    plt.yscale('log')
-
-    # Add titles and labels to the plot
-    plt.title("Loss vs Time by Optimization Type", fontsize=16)  # Plot title
-    plt.xlabel("Time (log scale)", fontsize=14)  # X-axis label
-    plt.ylabel("Loss (log scale)", fontsize=14)  # Y-axis label
-
-    # Add a legend to distinguish optimization types and their statistics, fixed in the top-right corner
-    plt.legend(fontsize=12, title_fontsize=13, 
-               loc='center left',
-               bbox_to_anchor=(1, 0.5),
-               borderaxespad=0.5)
-
-    # Adjust layout for better spacing
-    plt.tight_layout()
-
-    # Display the plot
-    plt.show()
-
-# Example usage
-# Replace 'data.csv' with the path to your CSV file
-csv_file_path = 'measurements/results_dual_annealing_main.csv'  # Update with your actual file path
-plot_optimization_graph(csv_file_path)
diff --git a/measurements/results.csv b/measurements/results.csv
deleted file mode 100644
index b754469..0000000
--- a/measurements/results.csv
+++ /dev/null
@@ -1,11 +0,0 @@
-source_data;config_id;out_data;time;sloss
-data/size-7/mds_ged_blp_2d.csv;divide_and_conquare;pngs/size-7/mds_ged_blp_2d_daq;10.569027185440063;44225.0901039249
-data/size-7/mds_katz_cen_2d.csv;iterative;pngs/size-7/mds_katz_cen_2d_iter;10.891525030136108;1640.6081881712632
-data/size-7/mds_ged_blp_2d.csv;iterative;pngs/size-7/mds_ged_blp_2d_iter;14.944351196289062;54.33682093010608
-data/size-25/mds_katz_cen_2d.csv;iterative;pngs/size-25/mds_katz_cen_2d_iter;31.9092378616333;160412.75197820537
-data/move-12/mds_katz_cen_2d.csv;iterative;pngs/move-12/mds_katz_cen_2d_iter;33.95089411735535;40409.671727726876
-data/size-12/mds_sphr_2d.csv;iterative;pngs/size-12/mds_sphr_2d_iter;34.43031311035156;193994.3606790919
-data/move-12/mds_ged_blp_2d.csv;iterative;pngs/move-12/mds_ged_blp_2d_iter;38.47973132133484;25864.372483450028
-data/size-12/mds_ged_blp_2d.csv;iterative;pngs/size-12/mds_ged_blp_2d_iter;40.76906204223633;90470.83767885168
-data/size-12/mds_katz_cen_2d.csv;iterative;pngs/size-12/mds_katz_cen_2d_iter;42.61363935470581;90657.55800888794
-data/ordinal-8/mds_ged_blp_2d.csv;iterative;pngs/ordinal-8/mds_ged_blp_2d_iter;43.55151104927063;291928.75235189265
diff --git a/measurements/results_basinhopping.csv b/measurements/results_basinhopping.csv
deleted file mode 100644
index 91aa184..0000000
--- a/measurements/results_basinhopping.csv
+++ /dev/null
@@ -1,40 +0,0 @@
-source_data;config_id;out_data;time;sloss
-data/size-7/mds_ged_blp_2d.csv;divide_and_conquare;pngs/size-7/mds_ged_blp_2d_daq;2.456467866897583;44225.0901039249
-data/size-7/mds_katz_cen_2d.csv;iterative;pngs/size-7/mds_katz_cen_2d_iter;43.07865357398987;240115.28775214858
-data/size-7/mds_ged_blp_2d.csv;iterative;pngs/size-7/mds_ged_blp_2d_iter;46.334457874298096;90030.43018047832
-data/size-7/mds_katz_cen_2d.csv;divide_and_conquare;pngs/size-7/mds_katz_cen_2d_daq;62.48141312599182;1679.1240753009795
-data/size-25/mds_katz_cen_2d.csv;iterative;pngs/size-25/mds_katz_cen_2d_iter;140.52155113220215;4202610.27088432
-data/size-12/mds_sphr_2d.csv;iterative;pngs/size-12/mds_sphr_2d_iter;188.2140347957611;4665789.657422426
-data/move-12/mds_katz_cen_2d.csv;iterative;pngs/move-12/mds_katz_cen_2d_iter;199.53973746299744;3802684.1222413247
-data/move-12/mds_ged_blp_2d.csv;iterative;pngs/move-12/mds_ged_blp_2d_iter;217.96767830848694;2856289.1565063433
-data/size-12/mds_ged_blp_2d.csv;iterative;pngs/size-12/mds_ged_blp_2d_iter;221.94377636909485;4161906.275912593
-data/size-12/pca_katz_cen_2d.csv;iterative;pngs/size-12/pca_katz_cen_2d_iter;232.03398823738098;2402663.2737706057
-data/kamada_l1-mutual_attraction_2d.csv;iterative;pngs/kamada_l1-mutual_attraction_2d_iter;237.62264585494995;3764042.082028306
-data/size-12/mds_katz_cen_2d.csv;iterative;pngs/size-12/mds_katz_cen_2d_iter;244.98864126205444;4244080.476054775
-data/ordinal-8/mds_katz_cen_2d.csv;iterative;pngs/ordinal-8/mds_katz_cen_2d_iter;247.01368498802185;5953977.15756403
-data/ordinal-8/mds_ged_blp_2d.csv;iterative;pngs/ordinal-8/mds_ged_blp_2d_iter;264.7234616279602;4622784.781922891
-data/kk_swap_2d.csv;iterative;pngs/kk_swap_2d_iter;398.145352602005;17389185.958242472
-data/size-12/pca_katz_cen_2d.csv;divide_and_conquare;pngs/size-12/pca_katz_cen_2d_daq;409.9965350627899;176874.23803004934
-data/kamada_l1-mutual_attraction_2d.csv;divide_and_conquare;pngs/kamada_l1-mutual_attraction_2d_daq;449.5455324649811;103392.74379407913
-data/ordinal-8/mds_ged_blp_2d.csv;divide_and_conquare;pngs/ordinal-8/mds_ged_blp_2d_daq;474.59551644325256;723314.4528136451
-data/size-25/mds_katz_cen_2d.csv;divide_and_conquare;pngs/size-25/mds_katz_cen_2d_daq;495.1843776702881;160430.58519754684
-data/move-12/mds_katz_cen_2d.csv;divide_and_conquare;pngs/move-12/mds_katz_cen_2d_daq;507.4636745452881;109417.25685236687
-data/size-12/mds_katz_cen_2d.csv;divide_and_conquare;pngs/size-12/mds_katz_cen_2d_daq;512.1471905708313;63022.37087577495
-data/size-12/mds_ged_blp_2d.csv;divide_and_conquare;pngs/size-12/mds_ged_blp_2d_daq;550.1458547115326;504758.2786572893
-data/move-12/mds_ged_blp_2d.csv;divide_and_conquare;pngs/move-12/mds_ged_blp_2d_daq;652.9256603717804;476523.6908980289
-data/size-12/mds_sphr_2d.csv;divide_and_conquare;pngs/size-12/mds_sphr_2d_daq;682.0968511104584;197975.62241347044
-data/kk_swap_2d.csv;divide_and_conquare;pngs/kk_swap_2d_daq;862.362184047699;884953.5609068767
-data/ordinal-8/mds_katz_cen_2d.csv;divide_and_conquare;pngs/ordinal-8/mds_katz_cen_2d_daq;980.9224481582642;4203502.685986884
-data/size-7/mds_ged_blp_2d.csv;global;pngs/size-7/mds_ged_blp_2d_glob;628.3827130794525;117.36058993280619
-data/size-7/mds_katz_cen_2d.csv;global;pngs/size-7/mds_katz_cen_2d_glob;668.8329105377197;1661.3043984196338
-data/size-25/mds_katz_cen_2d.csv;global;pngs/size-25/mds_katz_cen_2d_glob;8130.990386724472;548039.3387953689
-data/size-12/mds_sphr_2d.csv;global;pngs/size-12/mds_sphr_2d_glob;11463.328500270844;922354.9799933408
-data/move-12/mds_ged_blp_2d.csv;global;pngs/move-12/mds_ged_blp_2d_glob;12288.497124195099;44535.72716850576
-data/move-12/mds_katz_cen_2d.csv;global;pngs/move-12/mds_katz_cen_2d_glob;12671.566923618317;116130.0285934713
-data/kamada_l1-mutual_attraction_2d.csv;global;pngs/kamada_l1-mutual_attraction_2d_glob;13772.276403188705;91171.03800426297
-data/size-12/mds_ged_blp_2d.csv;global;pngs/size-12/mds_ged_blp_2d_glob;13939.13510799408;360493.86860819714
-data/size-12/pca_katz_cen_2d.csv;global;pngs/size-12/pca_katz_cen_2d_glob;14037.2593998909;211959.17010374976
-data/ordinal-8/mds_katz_cen_2d.csv;global;pngs/ordinal-8/mds_katz_cen_2d_glob;14564.660666704178;2132438.7628324367
-data/ordinal-8/mds_ged_blp_2d.csv;global;pngs/ordinal-8/mds_ged_blp_2d_glob;16109.312473773956;449468.2793029645
-data/size-12/mds_katz_cen_2d.csv;global;pngs/size-12/mds_katz_cen_2d_glob;16117.174702644348;96958.77749216228
-data/kk_swap_2d.csv;global;pngs/kk_swap_2d_glob;48614.38398551941;1690975.2396732958
diff --git a/measurements/results_differential_evolution.csv b/measurements/results_differential_evolution.csv
deleted file mode 100644
index 21661ce..0000000
--- a/measurements/results_differential_evolution.csv
+++ /dev/null
@@ -1,39 +0,0 @@
-source_data;config_id;out_data;time;sloss
-data/kamada_l1-mutual_attraction_2d.csv;iterative;pngs/kamada_l1-mutual_attraction_2d_iter;8.14986252784729;58297.06936251826
-data/kk_swap_2d.csv;iterative;pngs/kk_swap_2d_iter;17.22060227394104;922375.6206788181
-data/kamada_l1-mutual_attraction_2d.csv;divide_and_conquare;pngs/kamada_l1-mutual_attraction_2d_daq;42.53029417991638;939.5016133138553
-data/kk_swap_2d.csv;divide_and_conquare;pngs/kk_swap_2d_daq;51.48282170295715;563324.0627377365
-data/kamada_l1-mutual_attraction_2d.csv;global;pngs/kamada_l1-mutual_attraction_2d_glob;1945.2255964279175;1284.215179448981
-data/kk_swap_2d.csv;global;pngs/kk_swap_2d_glob;7599.455773115158;3784.2943957953835
-data/size-12/mds_ged_blp_2d.csv;iterative;pngs/size-12/mds_ged_blp_2d_iter;8.13799262046814;116075.65251039139
-data/size-12/mds_katz_cen_2d.csv;iterative;pngs/size-12/mds_katz_cen_2d_iter;9.419343948364258;177039.83391265076
-data/size-12/mds_sphr_2d.csv;iterative;pngs/size-12/mds_sphr_2d_iter;8.047331094741821;90369.42701976307
-data/size-12/pca_katz_cen_2d.csv;iterative;pngs/size-12/pca_katz_cen_2d_iter;10.216998100280762;32591.890409674157
-data/size-12/mds_ged_blp_2d.csv;divide_and_conquare;pngs/size-12/mds_ged_blp_2d_daq;46.91643476486206;73442.04887904528
-data/size-12/mds_katz_cen_2d.csv;divide_and_conquare;pngs/size-12/mds_katz_cen_2d_daq;34.946922302246094;26335.046773463324
-data/size-12/mds_sphr_2d.csv;divide_and_conquare;pngs/size-12/mds_sphr_2d_daq;56.11101245880127;250435.73048648192
-data/size-12/pca_katz_cen_2d.csv;divide_and_conquare;pngs/size-12/pca_katz_cen_2d_daq;37.04511904716492;160298.57602893224
-data/size-12/mds_ged_blp_2d.csv;global;pngs/size-12/mds_ged_blp_2d_glob;1896.5674622058868;781.7834453058722
-data/size-12/mds_katz_cen_2d.csv;global;pngs/size-12/mds_katz_cen_2d_glob;1976.591251373291;1013.9833900613393
-data/size-12/mds_sphr_2d.csv;global;pngs/size-12/mds_sphr_2d_glob;1608.1160366535187;7316.897092147577
-data/size-12/pca_katz_cen_2d.csv;global;pngs/size-12/pca_katz_cen_2d_glob;1986.437344789505;465.8760172780676
-data/size-7/mds_ged_blp_2d.csv;iterative;pngs/size-7/mds_ged_blp_2d_iter;2.475648880004883;50.10418852678941
-data/size-7/mds_katz_cen_2d.csv;iterative;pngs/size-7/mds_katz_cen_2d_iter;2.633254051208496;1638.0498199718577
-data/size-7/mds_ged_blp_2d.csv;divide_and_conquare;pngs/size-7/mds_ged_blp_2d_daq;1.168508768081665;44225.0901039249
-data/size-7/mds_katz_cen_2d.csv;divide_and_conquare;pngs/size-7/mds_katz_cen_2d_daq;1.441981315612793;1688.7779721389572
-data/size-7/mds_ged_blp_2d.csv;global;pngs/size-7/mds_ged_blp_2d_glob;22.413548469543457;52.009250323057834
-data/size-7/mds_katz_cen_2d.csv;global;pngs/size-7/mds_katz_cen_2d_glob;9.019718647003174;1657.8132002493162
-data/size-25/mds_katz_cen_2d.csv;iterative;pngs/size-25/mds_katz_cen_2d_iter;5.535047292709351;314006.7436094305
-data/size-25/mds_katz_cen_2d.csv;divide_and_conquare;pngs/size-25/mds_katz_cen_2d_daq;53.726166009902954;2030.3866168706204
-data/size-25/mds_katz_cen_2d.csv;global;pngs/size-25/mds_katz_cen_2d_glob;937.5412032604218;569.3746278042173
-data/ordinal-8/mds_ged_blp_2d.csv;iterative;pngs/ordinal-8/mds_ged_blp_2d_iter;8.576380968093872;336734.70567627763
-data/ordinal-8/mds_katz_cen_2d.csv;iterative;pngs/ordinal-8/mds_katz_cen_2d_iter;10.089432001113892;1345959.4477023534
-data/ordinal-8/mds_ged_blp_2d.csv;divide_and_conquare;pngs/ordinal-8/mds_ged_blp_2d_daq;11.064110040664673;436159.00619862584
-data/ordinal-8/mds_ged_blp_2d.csv;global;pngs/ordinal-8/mds_ged_blp_2d_glob;2178.696785211563;41119.943235714214
-data/ordinal-8/mds_katz_cen_2d.csv;global;pngs/ordinal-8/mds_katz_cen_2d_glob;2325.316486120224;194743.2494030617
-data/move-12/mds_ged_blp_2d.csv;iterative;pngs/move-12/mds_ged_blp_2d_iter;7.265017509460449;32660.791367412094
-data/move-12/mds_katz_cen_2d.csv;iterative;pngs/move-12/mds_katz_cen_2d_iter;8.147749185562134;193986.721461885
-data/move-12/mds_ged_blp_2d.csv;divide_and_conquare;pngs/move-12/mds_ged_blp_2d_daq;91.50430917739868;53299.99345770424
-data/move-12/mds_katz_cen_2d.csv;divide_and_conquare;pngs/move-12/mds_katz_cen_2d_daq;59.821327686309814;14953.791293635466
-data/move-12/mds_ged_blp_2d.csv;global;pngs/move-12/mds_ged_blp_2d_glob;1590.7465648651123;433.3641059028882
-data/move-12/mds_katz_cen_2d.csv;global;pngs/move-12/mds_katz_cen_2d_glob;1580.8460149765015;639.6299346457752
diff --git a/measurements/results_direct.csv b/measurements/results_direct.csv
deleted file mode 100644
index e38b07d..0000000
--- a/measurements/results_direct.csv
+++ /dev/null
@@ -1,40 +0,0 @@
-source_data;config_id;out_data;time;sloss
-data/size-7/mds_ged_blp_2d.csv;divide_and_conquare;pngs/size-7/mds_ged_blp_2d_daq;3.755854845046997;44225.0901039249
-data/size-7/mds_ged_blp_2d.csv;global;pngs/size-7/mds_ged_blp_2d_glob;4.244967222213745;191.03859764212172
-data/move-12/mds_katz_cen_2d.csv;divide_and_conquare;pngs/move-12/mds_katz_cen_2d_daq;4.312878847122192;7185.170502333677
-data/size-25/mds_katz_cen_2d.csv;divide_and_conquare;pngs/size-25/mds_katz_cen_2d_daq;4.408846139907837;90748.32012597042
-data/size-12/pca_katz_cen_2d.csv;divide_and_conquare;pngs/size-12/pca_katz_cen_2d_daq;4.651302814483643;176921.54172696036
-data/move-12/mds_ged_blp_2d.csv;divide_and_conquare;pngs/move-12/mds_ged_blp_2d_daq;4.731161832809448;53745.838000201264
-data/size-7/mds_katz_cen_2d.csv;global;pngs/size-7/mds_katz_cen_2d_glob;5.051182508468628;1740.0830455925125
-data/size-12/mds_sphr_2d.csv;divide_and_conquare;pngs/size-12/mds_sphr_2d_daq;5.207651853561401;519637.30989750684
-data/size-7/mds_katz_cen_2d.csv;divide_and_conquare;pngs/size-7/mds_katz_cen_2d_daq;5.517518997192383;1711.2727291549124
-data/kamada_l1-mutual_attraction_2d.csv;divide_and_conquare;pngs/kamada_l1-mutual_attraction_2d_daq;5.7286763191223145;1238.7300226494062
-data/size-12/mds_ged_blp_2d.csv;divide_and_conquare;pngs/size-12/mds_ged_blp_2d_daq;6.253685712814331;186081.92088167713
-data/size-12/mds_katz_cen_2d.csv;divide_and_conquare;pngs/size-12/mds_katz_cen_2d_daq;6.777273654937744;91153.59470601908
-data/size-25/mds_katz_cen_2d.csv;global;pngs/size-25/mds_katz_cen_2d_glob;7.079998016357422;73929.44217930923
-data/ordinal-8/mds_katz_cen_2d.csv;divide_and_conquare;pngs/ordinal-8/mds_katz_cen_2d_daq;7.724917888641357;1021144.0946234891
-data/ordinal-8/mds_ged_blp_2d.csv;divide_and_conquare;pngs/ordinal-8/mds_ged_blp_2d_daq;7.7681756019592285;1538518.718644322
-data/size-7/mds_ged_blp_2d.csv;iterative;pngs/size-7/mds_ged_blp_2d_iter;8.088383197784424;65.75647719820557
-data/kk_swap_2d.csv;divide_and_conquare;pngs/kk_swap_2d_daq;8.175880908966064;866400.1412609525
-data/size-7/mds_katz_cen_2d.csv;iterative;pngs/size-7/mds_katz_cen_2d_iter;8.848550796508789;1643.4727505034082
-data/move-12/mds_katz_cen_2d.csv;global;pngs/move-12/mds_katz_cen_2d_glob;10.773242950439453;177495.51007542107
-data/move-12/mds_ged_blp_2d.csv;global;pngs/move-12/mds_ged_blp_2d_glob;10.972075462341309;130533.3413067115
-data/size-12/mds_sphr_2d.csv;global;pngs/size-12/mds_sphr_2d_glob;11.743406772613525;169267.85894578675
-data/size-12/pca_katz_cen_2d.csv;global;pngs/size-12/pca_katz_cen_2d_glob;12.404615640640259;26594.056113324517
-data/size-12/mds_ged_blp_2d.csv;global;pngs/size-12/mds_ged_blp_2d_glob;12.730867147445679;21397.7890441735
-data/size-12/mds_katz_cen_2d.csv;global;pngs/size-12/mds_katz_cen_2d_glob;13.032790899276733;213210.49551799012
-data/kamada_l1-mutual_attraction_2d.csv;global;pngs/kamada_l1-mutual_attraction_2d_glob;13.173516988754272;27413.613140118243
-data/ordinal-8/mds_ged_blp_2d.csv;global;pngs/ordinal-8/mds_ged_blp_2d_glob;13.613537311553955;534061.2131262219
-data/ordinal-8/mds_katz_cen_2d.csv;global;pngs/ordinal-8/mds_katz_cen_2d_glob;13.868390321731567;1441174.4113296345
-data/size-25/mds_katz_cen_2d.csv;iterative;pngs/size-25/mds_katz_cen_2d_iter;15.785457134246826;48845.93620245905
-data/size-12/mds_sphr_2d.csv;iterative;pngs/size-12/mds_sphr_2d_iter;17.351200819015503;194115.06523373764
-data/move-12/mds_katz_cen_2d.csv;iterative;pngs/move-12/mds_katz_cen_2d_iter;18.123055696487427;68039.38116287804
-data/move-12/mds_ged_blp_2d.csv;iterative;pngs/move-12/mds_ged_blp_2d_iter;18.7532639503479;40304.24336188106
-data/size-12/pca_katz_cen_2d.csv;iterative;pngs/size-12/pca_katz_cen_2d_iter;20.05500340461731;10253.880719607812
-data/ordinal-8/mds_ged_blp_2d.csv;iterative;pngs/ordinal-8/mds_ged_blp_2d_iter;20.372394323349;436079.6877560841
-data/size-12/mds_katz_cen_2d.csv;iterative;pngs/size-12/mds_katz_cen_2d_iter;20.75386667251587;68350.98334414039
-data/size-12/mds_ged_blp_2d.csv;iterative;pngs/size-12/mds_ged_blp_2d_iter;21.147250175476074;20119.598351578243
-data/kamada_l1-mutual_attraction_2d.csv;iterative;pngs/kamada_l1-mutual_attraction_2d_iter;21.926006078720093;40788.50478291098
-data/ordinal-8/mds_katz_cen_2d.csv;iterative;pngs/ordinal-8/mds_katz_cen_2d_iter;22.540043354034424;1538044.632888447
-data/kk_swap_2d.csv;global;pngs/kk_swap_2d_glob;29.72930359840393;222957.32087231716
-data/kk_swap_2d.csv;iterative;pngs/kk_swap_2d_iter;33.8276641368866;922493.3147662487
diff --git a/measurements/results_dual_annealing_main.csv b/measurements/results_dual_annealing_main.csv
deleted file mode 100644
index 81536a3..0000000
--- a/measurements/results_dual_annealing_main.csv
+++ /dev/null
@@ -1,39 +0,0 @@
-source_data;config_id;out_data;time;sloss
-data/kamada_l1-mutual_attraction_2d.csv;iterative;pngs/kamada_l1-mutual_attraction_2d_iter;3.404604434967041;130433.39783594105
-data/kk_swap_2d.csv;iterative;pngs/kk_swap_2d_iter;5.881477355957031;673295.354842008
-data/kamada_l1-mutual_attraction_2d.csv;divide_and_conquare;pngs/kamada_l1-mutual_attraction_2d_daq;6.70568585395813;7429.818748896911
-data/kk_swap_2d.csv;divide_and_conquare;pngs/kk_swap_2d_daq;16.175976514816284;477084.7445867601
-data/kamada_l1-mutual_attraction_2d.csv;global;pngs/kamada_l1-mutual_attraction_2d_glob;256.54160928726196;874.2432248202778
-data/kk_swap_2d.csv;global;pngs/kk_swap_2d_glob;1020.8485543727875;15728.877657993828
-data/size-12/mds_ged_blp_2d.csv;iterative;pngs/size-12/mds_ged_blp_2d_iter;2.8515031337738037;130165.92558687515
-data/size-12/mds_katz_cen_2d.csv;iterative;pngs/size-12/mds_katz_cen_2d_iter;2.7188987731933594;79201.05491691173
-data/size-12/mds_sphr_2d.csv;iterative;pngs/size-12/mds_sphr_2d_iter;2.322922468185425;116054.57166062418
-data/size-12/pca_katz_cen_2d.csv;iterative;pngs/size-12/pca_katz_cen_2d_iter;2.6099014282226562;67872.16744655804
-data/size-12/mds_ged_blp_2d.csv;divide_and_conquare;pngs/size-12/mds_ged_blp_2d_daq;8.137305974960327;123120.10966930128
-data/size-12/mds_katz_cen_2d.csv;divide_and_conquare;pngs/size-12/mds_katz_cen_2d_daq;8.07364296913147;26431.75551371656
-data/size-12/mds_sphr_2d.csv;divide_and_conquare;pngs/size-12/mds_sphr_2d_daq;11.33953332901001;250531.07406730423
-data/size-12/pca_katz_cen_2d.csv;divide_and_conquare;pngs/size-12/pca_katz_cen_2d_daq;6.136772394180298;176772.9786391399
-data/size-12/mds_ged_blp_2d.csv;global;pngs/size-12/mds_ged_blp_2d_glob;246.6624038219452;601.1994787356855
-data/size-12/mds_katz_cen_2d.csv;global;pngs/size-12/mds_katz_cen_2d_glob;254.99904441833496;1059.876251376534
-data/size-12/mds_sphr_2d.csv;global;pngs/size-12/mds_sphr_2d_glob;200.23205590248108;7154.013885343659
-data/size-12/pca_katz_cen_2d.csv;global;pngs/size-12/pca_katz_cen_2d_glob;243.54919123649597;280.12042943691387
-data/size-7/mds_ged_blp_2d.csv;iterative;pngs/size-7/mds_ged_blp_2d_iter;1.1984145641326904;63.98255172285508
-data/size-7/mds_katz_cen_2d.csv;iterative;pngs/size-7/mds_katz_cen_2d_iter;1.2173733711242676;1658.4802481948868
-data/size-7/mds_ged_blp_2d.csv;divide_and_conquare;pngs/size-7/mds_ged_blp_2d_daq;0.9829361438751221;44225.0901039249
-data/size-7/mds_katz_cen_2d.csv;divide_and_conquare;pngs/size-7/mds_katz_cen_2d_daq;1.5420277118682861;1675.4907506721443
-data/size-7/mds_ged_blp_2d.csv;global;pngs/size-7/mds_ged_blp_2d_glob;11.391646146774292;66.74940169738422
-data/size-7/mds_katz_cen_2d.csv;global;pngs/size-7/mds_katz_cen_2d_glob;11.166416883468628;1649.0335602330933
-data/size-25/mds_katz_cen_2d.csv;iterative;pngs/size-25/mds_katz_cen_2d_iter;2.0111160278320312;90443.3826990782
-data/size-25/mds_katz_cen_2d.csv;divide_and_conquare;pngs/size-25/mds_katz_cen_2d_daq;7.6365296840667725;901.6279337478097
-data/size-25/mds_katz_cen_2d.csv;global;pngs/size-25/mds_katz_cen_2d_glob;126.16071677207947;594.5596395743777
-data/ordinal-8/mds_ged_blp_2d.csv;iterative;pngs/ordinal-8/mds_ged_blp_2d_iter;3.138972759246826;672869.1563727881
-data/ordinal-8/mds_katz_cen_2d.csv;iterative;pngs/ordinal-8/mds_katz_cen_2d_iter;3.3423774242401123;1440447.8323471074
-data/ordinal-8/mds_ged_blp_2d.csv;divide_and_conquare;pngs/ordinal-8/mds_ged_blp_2d_daq;7.634075403213501;775019.6823843522
-data/ordinal-8/mds_ged_blp_2d.csv;global;pngs/ordinal-8/mds_ged_blp_2d_glob;300.61621284484863;58364.8521895436
-data/ordinal-8/mds_katz_cen_2d.csv;global;pngs/ordinal-8/mds_katz_cen_2d_glob;301.3691942691803;194286.08336639375
-data/move-12/mds_ged_blp_2d.csv;iterative;pngs/move-12/mds_ged_blp_2d_iter;2.4361183643341064;14743.311879047551
-data/move-12/mds_katz_cen_2d.csv;iterative;pngs/move-12/mds_katz_cen_2d_iter;2.197000503540039;40434.4789818718
-data/move-12/mds_ged_blp_2d.csv;divide_and_conquare;pngs/move-12/mds_ged_blp_2d_daq;11.405993223190308;53371.29057577166
-data/move-12/mds_katz_cen_2d.csv;divide_and_conquare;pngs/move-12/mds_katz_cen_2d_daq;7.5762834548950195;20206.15170289412
-data/move-12/mds_ged_blp_2d.csv;global;pngs/move-12/mds_ged_blp_2d_glob;198.5978877544403;341.3851186170304
-data/move-12/mds_katz_cen_2d.csv;global;pngs/move-12/mds_katz_cen_2d_glob;199.6726939678192;653.6996171135551
diff --git a/measurements/results_shgo.csv b/measurements/results_shgo.csv
deleted file mode 100644
index 89dc171..0000000
--- a/measurements/results_shgo.csv
+++ /dev/null
@@ -1,22 +0,0 @@
-source_data;config_id;out_data;time;sloss
-data/size-7/mds_katz_cen_2d.csv;iterative;pngs/size-7/mds_katz_cen_2d_iter;3.6480188369750977;96535.38096444015
-data/move-12/mds_katz_cen_2d.csv;iterative;pngs/move-12/mds_katz_cen_2d_iter;3.6772310733795166;2857693.6077407636
-data/size-7/mds_ged_blp_2d.csv;divide_and_conquare;pngs/size-7/mds_ged_blp_2d_daq;3.667672872543335;44225.0901039249
-data/size-7/mds_katz_cen_2d.csv;divide_and_conquare;pngs/size-7/mds_katz_cen_2d_daq;3.871701955795288;26006.65314809139
-data/size-7/mds_ged_blp_2d.csv;iterative;pngs/size-7/mds_ged_blp_2d_iter;4.3837809562683105;22824.61494104163
-data/size-25/mds_katz_cen_2d.csv;iterative;pngs/size-25/mds_katz_cen_2d_iter;5.1098473072052;2403777.1789137395
-data/size-12/mds_ged_blp_2d.csv;iterative;pngs/size-12/mds_ged_blp_2d_iter;5.430412292480469;1234464.3662050788
-data/move-12/mds_ged_blp_2d.csv;iterative;pngs/move-12/mds_ged_blp_2d_iter;6.0681915283203125;2251258.929852118
-data/size-12/mds_katz_cen_2d.csv;iterative;pngs/size-12/mds_katz_cen_2d_iter;6.209588289260864;2163019.000337166
-data/size-12/mds_sphr_2d.csv;iterative;pngs/size-12/mds_sphr_2d_iter;6.242920637130737;4041935.7753915754
-data/size-12/pca_katz_cen_2d.csv;iterative;pngs/size-12/pca_katz_cen_2d_iter;6.665961265563965;2342218.0183324236
-data/ordinal-8/mds_katz_cen_2d.csv;iterative;pngs/ordinal-8/mds_katz_cen_2d_iter;6.694362640380859;6813362.807356826
-data/kamada_l1-mutual_attraction_2d.csv;iterative;pngs/kamada_l1-mutual_attraction_2d_iter;7.420320272445679;1104944.5284451414
-data/ordinal-8/mds_ged_blp_2d.csv;iterative;pngs/ordinal-8/mds_ged_blp_2d_iter;8.70199203491211;1905352.9490742357
-data/kk_swap_2d.csv;iterative;pngs/kk_swap_2d_iter;10.383253574371338;5477767.28988891
-data/ordinal-8/mds_ged_blp_2d.csv;divide_and_conquare;pngs/ordinal-8/mds_ged_blp_2d_daq;42.11751937866211;1743323.9422735807
-data/kamada_l1-mutual_attraction_2d.csv;divide_and_conquare;pngs/kamada_l1-mutual_attraction_2d_daq;24033.610261678696;829971.3197557041
-data/size-12/mds_ged_blp_2d.csv;divide_and_conquare;pngs/size-12/mds_ged_blp_2d_daq;24197.222458600998;2282643.0814313856
-data/size-12/pca_katz_cen_2d.csv;divide_and_conquare;pngs/size-12/pca_katz_cen_2d_daq;24261.66894721985;1103575.2505690798
-data/size-12/mds_katz_cen_2d.csv;divide_and_conquare;pngs/size-12/mds_katz_cen_2d_daq;24476.398560762405;1042816.4372261723
-data/kk_swap_2d.csv;divide_and_conquare;pngs/kk_swap_2d_daq;43436.95921039581;4123864.532954204
diff --git a/parallel_testing.sh b/parallel_testing.sh
deleted file mode 100755
index 730c50e..0000000
--- a/parallel_testing.sh
+++ /dev/null
@@ -1,63 +0,0 @@
-#!/bin/bash
-
-pythonbin=./.venv/bin/python3
-script_path=./parallel_tests.py
-
-echo "source_data;config_id;out_data;time" > ./pngs/results.csv
-
-$pythonbin $script_path data/kamada_l1-mutual_attraction_2d.csv pngs/kamada_l1-mutual_attraction_2d_iter iterative & \
-$pythonbin $script_path data/kk_swap_2d.csv pngs/kk_swap_2d_iter iterative & \
-\
-$pythonbin $script_path data/kamada_l1-mutual_attraction_2d.csv pngs/kamada_l1-mutual_attraction_2d_daq divide_and_conquare & \
-$pythonbin $script_path data/kk_swap_2d.csv pngs/kk_swap_2d_daq divide_and_conquare & \
-\
-$pythonbin $script_path data/kamada_l1-mutual_attraction_2d.csv pngs/kamada_l1-mutual_attraction_2d_glob global & \
-$pythonbin $script_path data/kk_swap_2d.csv pngs/kk_swap_2d_glob global & \
-\
-$pythonbin $script_path data/size-12/mds_ged_blp_2d.csv pngs/size-12/mds_ged_blp_2d_iter iterative & \
-$pythonbin $script_path data/size-12/mds_katz_cen_2d.csv pngs/size-12/mds_katz_cen_2d_iter iterative & \
-$pythonbin $script_path data/size-12/mds_sphr_2d.csv pngs/size-12/mds_sphr_2d_iter iterative & \
-$pythonbin $script_path data/size-12/pca_katz_cen_2d.csv pngs/size-12/pca_katz_cen_2d_iter iterative & \
-\
-$pythonbin $script_path data/size-12/mds_ged_blp_2d.csv pngs/size-12/mds_ged_blp_2d_daq divide_and_conquare & \
-$pythonbin $script_path data/size-12/mds_katz_cen_2d.csv pngs/size-12/mds_katz_cen_2d_daq divide_and_conquare & \
-$pythonbin $script_path data/size-12/mds_sphr_2d.csv pngs/size-12/mds_sphr_2d_daq divide_and_conquare & \
-$pythonbin $script_path data/size-12/pca_katz_cen_2d.csv pngs/size-12/pca_katz_cen_2d_daq divide_and_conquare & \
-\
-$pythonbin $script_path data/size-12/mds_ged_blp_2d.csv pngs/size-12/mds_ged_blp_2d_glob global & \
-$pythonbin $script_path data/size-12/mds_katz_cen_2d.csv pngs/size-12/mds_katz_cen_2d_glob global & \
-$pythonbin $script_path data/size-12/mds_sphr_2d.csv pngs/size-12/mds_sphr_2d_glob global & \
-$pythonbin $script_path data/size-12/pca_katz_cen_2d.csv pngs/size-12/pca_katz_cen_2d_glob global & \
-\
-$pythonbin $script_path data/size-7/mds_ged_blp_2d.csv pngs/size-7/mds_ged_blp_2d_iter iterative & \
-$pythonbin $script_path data/size-7/mds_katz_cen_2d.csv pngs/size-7/mds_katz_cen_2d_iter iterative & \
-\
-$pythonbin $script_path data/size-7/mds_ged_blp_2d.csv pngs/size-7/mds_ged_blp_2d_daq divide_and_conquare & \
-$pythonbin $script_path data/size-7/mds_katz_cen_2d.csv pngs/size-7/mds_katz_cen_2d_daq divide_and_conquare & \
-\
-$pythonbin $script_path data/size-7/mds_ged_blp_2d.csv pngs/size-7/mds_ged_blp_2d_glob global & \
-$pythonbin $script_path data/size-7/mds_katz_cen_2d.csv pngs/size-7/mds_katz_cen_2d_glob global & \
-\
-$pythonbin $script_path data/size-25/mds_katz_cen_2d.csv pngs/size-25/mds_katz_cen_2d_iter iterative & \
-\
-$pythonbin $script_path data/size-25/mds_katz_cen_2d.csv pngs/size-25/mds_katz_cen_2d_daq divide_and_conquare & \
-\
-$pythonbin $script_path data/size-25/mds_katz_cen_2d.csv pngs/size-25/mds_katz_cen_2d_glob global & \
-\
-$pythonbin $script_path data/ordinal-8/mds_ged_blp_2d.csv pngs/ordinal-8/mds_ged_blp_2d_iter iterative & \
-$pythonbin $script_path data/ordinal-8/mds_katz_cen_2d.csv pngs/ordinal-8/mds_katz_cen_2d_iter iterative & \
-\
-$pythonbin $script_path data/ordinal-8/mds_ged_blp_2d.csv pngs/ordinal-8/mds_ged_blp_2d_daq divide_and_conquare & \
-$pythonbin $script_path data/ordinal-8/mds_katz_cen_2d.csv pngs/ordinal-8/mds_katz_cen_2d_daq divide_and_conquare & \
-\
-$pythonbin $script_path data/ordinal-8/mds_ged_blp_2d.csv pngs/ordinal-8/mds_ged_blp_2d_glob global & \
-$pythonbin $script_path data/ordinal-8/mds_katz_cen_2d.csv pngs/ordinal-8/mds_katz_cen_2d_glob global & \
-\
-$pythonbin $script_path data/move-12/mds_ged_blp_2d.csv pngs/move-12/mds_ged_blp_2d_iter iterative & \
-$pythonbin $script_path data/move-12/mds_katz_cen_2d.csv pngs/move-12/mds_katz_cen_2d_iter iterative & \
-\
-$pythonbin $script_path data/move-12/mds_ged_blp_2d.csv pngs/move-12/mds_ged_blp_2d_daq divide_and_conquare & \
-$pythonbin $script_path data/move-12/mds_katz_cen_2d.csv pngs/move-12/mds_katz_cen_2d_daq divide_and_conquare & \
-\
-$pythonbin $script_path data/move-12/mds_ged_blp_2d.csv pngs/move-12/mds_ged_blp_2d_glob global & \
-$pythonbin $script_path data/move-12/mds_katz_cen_2d.csv pngs/move-12/mds_katz_cen_2d_glob global & \
diff --git a/parallel_tests.py b/parallel_tests.py
deleted file mode 100644
index d51c25f..0000000
--- a/parallel_tests.py
+++ /dev/null
@@ -1,21 +0,0 @@
-from src.main import draw_maps, draw_maps_editor
-
-import time
-import argparse
-import fcntl
-
-parser = argparse.ArgumentParser()
-parser.add_argument("source_data", type=str, help="csv file path with data")
-parser.add_argument("out_path", type=str, help="path where to save output")
-parser.add_argument("config", type=str, help="config id")
-
-args = parser.parse_args()
-
-s = time.time()
-draw_maps(args.source_data, args.out_path, config_id=args.config)
-e = time.time()
-with open("pngs/results.csv", "a") as f:
-    fcntl.flock(f, fcntl.LOCK_EX)
-    f.write(f"{args.source_data};{args.config};{args.out_path};{e-s}\n")
-    fcntl.flock(f, fcntl.LOCK_UN)
-print(f"{e-s}")
diff --git a/pngs/kamada_l1-mutual_attraction_2d_daq.png b/pngs/kamada_l1-mutual_attraction_2d_daq.png
deleted file mode 100644
index fedcf23..0000000
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diff --git a/pngs/kamada_l1-mutual_attraction_2d_glob.png b/pngs/kamada_l1-mutual_attraction_2d_glob.png
deleted file mode 100644
index e4ecf8a..0000000
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diff --git a/pngs/kamada_l1-mutual_attraction_2d_iter.png b/pngs/kamada_l1-mutual_attraction_2d_iter.png
deleted file mode 100644
index 88901dd..0000000
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diff --git a/pngs/kk_swap_2d_daq.png b/pngs/kk_swap_2d_daq.png
deleted file mode 100644
index 0d24684..0000000
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diff --git a/pngs/kk_swap_2d_glob.png b/pngs/kk_swap_2d_glob.png
deleted file mode 100644
index 5f82009..0000000
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diff --git a/pngs/kk_swap_2d_iter.png b/pngs/kk_swap_2d_iter.png
deleted file mode 100644
index 9561302..0000000
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diff --git a/pngs/move-12/mds_ged_blp_2d_daq.png b/pngs/move-12/mds_ged_blp_2d_daq.png
deleted file mode 100644
index 6b0e219..0000000
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diff --git a/pngs/move-12/mds_ged_blp_2d_glob.png b/pngs/move-12/mds_ged_blp_2d_glob.png
deleted file mode 100644
index 3eb5d9e..0000000
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diff --git a/pngs/move-12/mds_ged_blp_2d_iter.png b/pngs/move-12/mds_ged_blp_2d_iter.png
deleted file mode 100644
index d54f1d3..0000000
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diff --git a/pngs/move-12/mds_katz_cen_2d_daq.png b/pngs/move-12/mds_katz_cen_2d_daq.png
deleted file mode 100644
index 7ca064a..0000000
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diff --git a/pngs/move-12/mds_katz_cen_2d_glob.png b/pngs/move-12/mds_katz_cen_2d_glob.png
deleted file mode 100644
index 8626d2f..0000000
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diff --git a/pngs/move-12/mds_katz_cen_2d_iter.png b/pngs/move-12/mds_katz_cen_2d_iter.png
deleted file mode 100644
index 09eaf96..0000000
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diff --git a/pngs/ordinal-8/mds_ged_blp_2d_daq.png b/pngs/ordinal-8/mds_ged_blp_2d_daq.png
deleted file mode 100644
index 0573909..0000000
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diff --git a/pngs/ordinal-8/mds_ged_blp_2d_glob.png b/pngs/ordinal-8/mds_ged_blp_2d_glob.png
deleted file mode 100644
index 3f8daed..0000000
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diff --git a/pngs/ordinal-8/mds_ged_blp_2d_iter.png b/pngs/ordinal-8/mds_ged_blp_2d_iter.png
deleted file mode 100644
index a4fc557..0000000
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diff --git a/pngs/ordinal-8/mds_katz_cen_2d_daq.png b/pngs/ordinal-8/mds_katz_cen_2d_daq.png
deleted file mode 100644
index 4a5d7e3..0000000
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diff --git a/pngs/ordinal-8/mds_katz_cen_2d_glob.png b/pngs/ordinal-8/mds_katz_cen_2d_glob.png
deleted file mode 100644
index 2666918..0000000
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diff --git a/pngs/ordinal-8/mds_katz_cen_2d_iter.png b/pngs/ordinal-8/mds_katz_cen_2d_iter.png
deleted file mode 100644
index 1945826..0000000
Binary files a/pngs/ordinal-8/mds_katz_cen_2d_iter.png and /dev/null differ
diff --git a/pngs/results.csv b/pngs/results.csv
deleted file mode 100644
index 54cbed1..0000000
--- a/pngs/results.csv
+++ /dev/null
@@ -1,40 +0,0 @@
-source_data;config_id;out_data;time
-data/size-7/mds_ged_blp_2d.csv;divide_and_conquare;pngs/size-7/mds_ged_blp_2d_daq;8.491858720779419
-data/size-7/mds_ged_blp_2d.csv;iterative;pngs/size-7/mds_ged_blp_2d_iter;11.2904691696167
-data/size-7/mds_katz_cen_2d.csv;iterative;pngs/size-7/mds_katz_cen_2d_iter;12.140823364257812
-data/size-7/mds_katz_cen_2d.csv;divide_and_conquare;pngs/size-7/mds_katz_cen_2d_daq;13.591572046279907
-data/size-25/mds_katz_cen_2d.csv;iterative;pngs/size-25/mds_katz_cen_2d_iter;17.258748531341553
-data/move-12/mds_ged_blp_2d.csv;iterative;pngs/move-12/mds_ged_blp_2d_iter;20.5958194732666
-data/move-12/mds_katz_cen_2d.csv;iterative;pngs/move-12/mds_katz_cen_2d_iter;20.378464460372925
-data/size-12/pca_katz_cen_2d.csv;iterative;pngs/size-12/pca_katz_cen_2d_iter;24.470490217208862
-data/ordinal-8/mds_katz_cen_2d.csv;iterative;pngs/ordinal-8/mds_katz_cen_2d_iter;26.834951400756836
-data/ordinal-8/mds_ged_blp_2d.csv;iterative;pngs/ordinal-8/mds_ged_blp_2d_iter;26.967196464538574
-data/size-12/mds_sphr_2d.csv;iterative;pngs/size-12/mds_sphr_2d_iter;29.00352191925049
-data/size-12/mds_ged_blp_2d.csv;iterative;pngs/size-12/mds_ged_blp_2d_iter;31.758727073669434
-data/size-12/mds_katz_cen_2d.csv;iterative;pngs/size-12/mds_katz_cen_2d_iter;35.389007329940796
-data/size-12/pca_katz_cen_2d.csv;divide_and_conquare;pngs/size-12/pca_katz_cen_2d_daq;43.199164152145386
-data/kamada_l1-mutual_attraction_2d.csv;iterative;pngs/kamada_l1-mutual_attraction_2d_iter;43.57230496406555
-data/kk_swap_2d.csv;iterative;pngs/kk_swap_2d_iter;47.66466760635376
-data/size-25/mds_katz_cen_2d.csv;divide_and_conquare;pngs/size-25/mds_katz_cen_2d_daq;48.45185351371765
-data/move-12/mds_katz_cen_2d.csv;divide_and_conquare;pngs/move-12/mds_katz_cen_2d_daq;49.163028955459595
-data/ordinal-8/mds_ged_blp_2d.csv;divide_and_conquare;pngs/ordinal-8/mds_ged_blp_2d_daq;52.28836727142334
-data/size-7/mds_katz_cen_2d.csv;global;pngs/size-7/mds_katz_cen_2d_glob;65.26093411445618
-data/move-12/mds_ged_blp_2d.csv;divide_and_conquare;pngs/move-12/mds_ged_blp_2d_daq;65.8991334438324
-data/size-7/mds_ged_blp_2d.csv;global;pngs/size-7/mds_ged_blp_2d_glob;66.47623252868652
-data/size-12/mds_ged_blp_2d.csv;divide_and_conquare;pngs/size-12/mds_ged_blp_2d_daq;74.55809664726257
-data/ordinal-8/mds_katz_cen_2d.csv;divide_and_conquare;pngs/ordinal-8/mds_katz_cen_2d_daq;99.11529302597046
-data/kk_swap_2d.csv;divide_and_conquare;pngs/kk_swap_2d_daq;131.14387488365173
-data/kamada_l1-mutual_attraction_2d.csv;divide_and_conquare;pngs/kamada_l1-mutual_attraction_2d_daq;132.44409894943237
-data/size-12/mds_katz_cen_2d.csv;divide_and_conquare;pngs/size-12/mds_katz_cen_2d_daq;139.29744911193848
-data/size-12/mds_sphr_2d.csv;divide_and_conquare;pngs/size-12/mds_sphr_2d_daq;187.24596977233887
-data/size-25/mds_katz_cen_2d.csv;global;pngs/size-25/mds_katz_cen_2d_glob;351.9469747543335
-data/move-12/mds_katz_cen_2d.csv;global;pngs/move-12/mds_katz_cen_2d_glob;504.0785162448883
-data/move-12/mds_ged_blp_2d.csv;global;pngs/move-12/mds_ged_blp_2d_glob;508.895316362381
-data/size-12/pca_katz_cen_2d.csv;global;pngs/size-12/pca_katz_cen_2d_glob;577.1118686199188
-data/ordinal-8/mds_ged_blp_2d.csv;global;pngs/ordinal-8/mds_ged_blp_2d_glob;662.5907933712006
-data/ordinal-8/mds_katz_cen_2d.csv;global;pngs/ordinal-8/mds_katz_cen_2d_glob;666.899747133255
-data/size-12/mds_sphr_2d.csv;global;pngs/size-12/mds_sphr_2d_glob;960.115434885025
-data/size-12/mds_ged_blp_2d.csv;global;pngs/size-12/mds_ged_blp_2d_glob;1106.9387543201447
-data/size-12/mds_katz_cen_2d.csv;global;pngs/size-12/mds_katz_cen_2d_glob;1166.7800688743591
-data/kamada_l1-mutual_attraction_2d.csv;global;pngs/kamada_l1-mutual_attraction_2d_glob;1542.4368319511414
-data/kk_swap_2d.csv;global;pngs/kk_swap_2d_glob;2140.9278037548065
diff --git a/pngs/size-12/mds_ged_blp_2d_daq.png b/pngs/size-12/mds_ged_blp_2d_daq.png
deleted file mode 100644
index 1323ece..0000000
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deleted file mode 100644
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diff --git a/pngs/size-12/mds_ged_blp_2d_iter.png b/pngs/size-12/mds_ged_blp_2d_iter.png
deleted file mode 100644
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diff --git a/pngs/size-12/mds_katz_cen_2d_daq.png b/pngs/size-12/mds_katz_cen_2d_daq.png
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deleted file mode 100644
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deleted file mode 100644
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diff --git a/pngs/size-12/mds_sphr_2d_iter.png b/pngs/size-12/mds_sphr_2d_iter.png
deleted file mode 100644
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diff --git a/pngs/size-12/pca_katz_cen_2d_daq.png b/pngs/size-12/pca_katz_cen_2d_daq.png
deleted file mode 100644
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diff --git a/pngs/size-25/mds_katz_cen_2d_daq.png b/pngs/size-25/mds_katz_cen_2d_daq.png
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diff --git a/pngs/size-7/mds_ged_blp_2d_daq.png b/pngs/size-7/mds_ged_blp_2d_daq.png
deleted file mode 100644
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diff --git a/pngs/size-7/mds_ged_blp_2d_glob.png b/pngs/size-7/mds_ged_blp_2d_glob.png
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diff --git a/pngs/size-7/mds_katz_cen_2d_daq.png b/pngs/size-7/mds_katz_cen_2d_daq.png
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diff --git a/pngs/size-7/mds_katz_cen_2d_glob.png b/pngs/size-7/mds_katz_cen_2d_glob.png
deleted file mode 100644
index 2c5ff95..0000000
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diff --git a/pngs/size-7/mds_katz_cen_2d_iter.png b/pngs/size-7/mds_katz_cen_2d_iter.png
deleted file mode 100644
index d7fbe9b..0000000
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diff --git a/pngs/smaller_data_daq.png b/pngs/smaller_data_daq.png
deleted file mode 100644
index b7cd6e3..0000000
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diff --git a/pngs/smaller_data_iter.png b/pngs/smaller_data_iter.png
deleted file mode 100644
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diff --git a/src/config.yaml b/src/config.yaml
index f9ab17a..ca84ebe 100644
--- a/src/config.yaml
+++ b/src/config.yaml
@@ -1,5 +1,6 @@
 global:
   generate_hulls: True
+  dpi: 300
 
 editor:
   # initial frame size (the data is normalized to -100, 100 on wider axis)
diff --git a/src/editor/artists.py b/src/editor/artists.py
index 4da0741..0f79347 100644
--- a/src/editor/artists.py
+++ b/src/editor/artists.py
@@ -477,7 +477,6 @@ def __init__(self, ax: Axes, sid: str, polygon: List[Tuple[float, float]] | None
 
         # hull line artists
         if hull_view:
-            print("JAK")
             self.hull_lines: dict[int, HullLineArtist] = {}
             for hull_line_id in self.state.get_hull_hull_line(self.id):
                 x1, y1, x2, y2 = self.state.get_hull_line_points(self.id, hull_line_id)
diff --git a/src/editor/backend_customs.py b/src/editor/backend_customs.py
index cfd7864..25ca960 100644
--- a/src/editor/backend_customs.py
+++ b/src/editor/backend_customs.py
@@ -7,6 +7,7 @@
 import tkinter
 
 from .state import *
+from ..configuration import Configuration
 
 
 class RefreshEvent(Event):
@@ -173,7 +174,7 @@ def new_save_figure(self, *args):
     try:
         pax, pfig = SaveLoadPltLinker.get_ax_fig()
         bbox = pax.get_tightbbox().transformed(pfig.dpi_scale_trans.inverted())
-        self.canvas.figure.savefig(fname, bbox_inches=bbox, pad_inches=0)
+        self.canvas.figure.savefig(fname, bbox_inches=bbox, pad_inches=0, dpi=Configuration['global']['dpi'])
     except Exception as e:
         tkinter.messagebox.showerror("Error saving file", str(e))
 
diff --git a/src/editor/state.py b/src/editor/state.py
index f27c436..6ea7aa3 100644
--- a/src/editor/state.py
+++ b/src/editor/state.py
@@ -243,7 +243,6 @@ def redefine_hull(self, hull_name: str):
         hull_resources = self.data['hulls_data']['hulls'][hull_name]
         del self.data['hulls_data']['hulls'][hull_name]
 
-        print(hull_resources['artist'])
         self.data['hulls_data']['hulls'][hull_name] = {
             "cords": hull_resources["polygon_points"],
             "line_cords": hull_resources["polygon_lines"],
diff --git a/src/editor/view_manager.py b/src/editor/view_manager.py
index 8935ee2..d77218e 100644
--- a/src/editor/view_manager.py
+++ b/src/editor/view_manager.py
@@ -405,7 +405,6 @@ def change_view(self, view_id: ViewsEnum, *args, **kwargs):
         self.hide()
         self.vm.get_view(view_id).draw(*args, **kwargs)
         e = time.time()
-        print(f"{e-s}s")
 
 
 class ViewElement(ABC, StateLinker):
diff --git a/src/editor/views/clusters_view.py b/src/editor/views/clusters_view.py
index 12961bb..8eaa18c 100644
--- a/src/editor/views/clusters_view.py
+++ b/src/editor/views/clusters_view.py
@@ -88,14 +88,6 @@ def reset_clusters(self): #todo really ugly, gotta clean up later
                 artist.hide()
         if self.hulls_off:
             self.vm.list_manager.check_list.hide()
-        # todo doesnt work cause dunno how to use Hull Artist
-        # the problem is that I remove only LineCollections, but when using algorithm I use
-        # self.state.set_hull_to_undraw(cluster_name)
-        # self.state.set_hull_to_change(new_cluster_name, self.state.get_cluster(new_cluster_name))
-        # which presumably smites the original hulls from existance, after which HullArtist.hull doesnt work
-
-        # what I would want is to be able to remove all hull artist when reseting and recalulate them again
-        # unless it takes too much time ofc
 
     def remove_point(self):
         if self.picked_item:
diff --git a/src/editor/views/hulls_view.py b/src/editor/views/hulls_view.py
index dc681a6..4dc2392 100644
--- a/src/editor/views/hulls_view.py
+++ b/src/editor/views/hulls_view.py
@@ -56,7 +56,6 @@ def draw(self, *args, **kwargs) -> None:
         self.vm.ax.set_ylim(df['y'].min() - 10, df['y'].max() + 10)
 
         not_visible_hull_names = set(self.state.data['hulls_data']['hulls'].keys()).difference(set(self.vm.list_manager.get_only_active()))
-        print(f"|not_visible_hull_names|: {not_visible_hull_names}")
         # remove current hulls
         for child in self.vm.ax.get_children():
             if type(child) is LineCollection:
@@ -141,7 +140,6 @@ def pick_event(self, event: PickEvent) -> None:
 
     def press_event(self, event: MouseEvent) -> None:
         logging.info(f"""{self.__class__} POS: {event.xdata}, {event.ydata}""")
-        print(event)
         if event.inaxes != self.vm.ax:
             return
 
@@ -199,7 +197,6 @@ def search_for_hull_name_in_hole(self, point: tuple[float, float], _hull_name: s
 
         for hull_name in hulls_name:
             cords = self.state.get_hole_in_hulls(hull_name)
-            print(f"CORDS: {cords}")
             if _hull_name != "" and _hull_name != hull_name:
                 continue
             for cord in cords:
@@ -245,7 +242,6 @@ def calculate_new_hull(self):
             try:
                 interpolated_points = interpolate_points(self.points_to_add + [self.points_to_add[0]])
             except TypeError as e:
-                print(f"|ERROR| {e}")
 
                 for i, pointer_point in enumerate(self.pointer_points):
                     pointer_point.remove()
@@ -300,12 +296,9 @@ def calculate_new_hull(self):
         line_start_index = -1
         line_end_index = -1
 
-        print(point_1, point_2)
-        print(f"IDX: {idx_1} {idx_2}")
         try:
             interpolated_points = interpolate_points(self.points_to_add[1:-1])
         except TypeError as e:
-            print(f"|ERROR| {e}")
 
             for i, pointer_point in enumerate(self.pointer_points):
                 pointer_point.remove()
@@ -502,7 +495,6 @@ def hull_name_submit(self, nname) -> None:
         if self.picked_item is None:
             return
         if nname != "":
-            print(f"nname: {nname}")
             plt.draw()
 
     def spread_size_update(self) -> int:
diff --git a/src/generator/hull_generator.py b/src/generator/hull_generator.py
index 2f14f87..1c18f99 100644
--- a/src/generator/hull_generator.py
+++ b/src/generator/hull_generator.py
@@ -135,24 +135,14 @@ def handle_corners_points(points, default_points_dict, num_of_points=10):
                 < distance(current_point, points_union[i])
             ):
 
-                # if points_union[i] in next_points_array:
                 second_point = last_point
                 last_point = points_union[i]
 
-
-        # calculated_angle = calculate_angle(current_point, last_point, second_point)
-        # print(calculated_angle)
         current_point = last_point
         if default_points_dict[(current_point[0], current_point[1])] not in visited_points.keys():
             visited_points[default_points_dict[(current_point[0], current_point[1])]] = 1
-        # print(f"MOCNE COS {default_points_dict[(current_point[0], current_point[1])]}")
-        # print(current_point)
         if i_array > num_of_sets + 2:
             break
-        
-        # if np.abs(calculated_angle) < 20:
-        #     continue
-
 
         if current_point in current_points_array:
             straight_points_list[1] += 1
@@ -174,7 +164,6 @@ def handle_corners_points(points, default_points_dict, num_of_points=10):
                     new_points.append(current_points_array)
 
                 if after_curve:
-                    # print(f"JAK TO TAK {default_points_dict[(current_point[0], current_point[1])]}")
                     _reset_dict(visited_points)
                     after_curve = False
 
@@ -193,7 +182,7 @@ def handle_corners_points(points, default_points_dict, num_of_points=10):
 def create_new_circuit(points, dict_circuit_points, dict_main_points):
     idxes = concave_hull_indexes(
         np.array(points)[:, :2],
-        concavity=2,  # TODO: check other numbers for parameter
+        concavity=2,
         length_threshold=0,
     )
 
@@ -491,12 +480,6 @@ def join_closest_points(points, circle_points_to_main, main_points_to_circle, di
     return new_points
 
 def join_closest_points_copy(points, circle_points_to_main, main_points_to_circle, dist, segment_length):
-    
-
-    # empty_sets = True
-    # not_same_points = True
-    # points_to_join = []
-    
     points_transform = []
     new_points = []
     visited_points = set()
@@ -540,19 +523,11 @@ def join_closest_points_copy(points, circle_points_to_main, main_points_to_circl
                 )
             
             _idx_points = [points_transform[idxes[j]] for j in range(len(idxes))]
-            # _idx_points = make_dense_points(
-            #     _idx_points,
-            #     segment_length=segment_length,
-            # )
 
             new_points.append(_idx_points)
     
     return new_points
         
-        
-    
-
-
 
 def calc_hull(
     data: dict, circle_radious: float, points_in_circle: int, segment_length: int
@@ -565,12 +540,9 @@ def calc_hull(
         hulls[i] = {}
 
         hulls[i]["name"] = hull_name
-        print(hull_name)
 
         x = deepcopy(data[hull_name]["x"])
         y = deepcopy(data[hull_name]["y"])
-        # x = np.repeat(x, 2)
-        # y = np.repeat(y, 2)
         hulls[i]["cluster_points"] = {"x": x, "y": y}
 
         points_transform = np.hstack(
@@ -580,12 +552,6 @@ def calc_hull(
             )
         )
 
-        # try:
-        #     distances = pdist(np.unique(points_transform, axis=0))
-        #     print(f"DISTANCES {np.min(distances)}")
-        # except Exception:
-        #     pass
-
         points_transform = np.unique(points_transform, axis=0)
 
         idxes = concave_hull_indexes(
@@ -621,8 +587,6 @@ def calc_hull(
         
         hulls[i]["interpolate_points"] = _idx_points
 
-        # _idx_points = interpolate_points(_idx_points[1:], 1000)
-
         polygon_lines = [
             (
                 _idx_points[j % len(_idx_points)],
@@ -630,7 +594,6 @@ def calc_hull(
             )
             for j in range(len(_idx_points))
         ]
-        print(len(polygon_lines))
         hulls[i]["polygon_lines"] = polygon_lines
 
     return hulls
@@ -662,10 +625,7 @@ def calc_one_hull(hull_name,
 
     x = np.array(points["x"])
     y = np.array(points["y"])
-    # x = np.repeat(x, 2)
-    # y = np.repeat(y, 2)
     hulls[hull_name]["cluster_points"] = {"x": x, "y": y}
-    # print(f"HULL NAME {hull_name}")
     points_transform = np.hstack(
         (
             x.reshape(-1, 1),
@@ -700,8 +660,6 @@ def calc_one_hull(hull_name,
 
     hulls[hull_name]["gathering_radius"] = _closest_points_radius
 
-    # to_jarvis = handle_corners_points(to_jarvis, circuit_points,state["hulls_data"]["parameters"]["points_in_circle"])
-
     selected_points = greedy_selecting_1(to_jarvis)
 
     _radius_domain_expansion = state["hulls_data"]["parameters"]["domain_expansion"] if radius_domain_expansion is None else radius_domain_expansion
@@ -746,12 +704,6 @@ def parse_solution_to_editor_hull(hulls: dict, state: dict) -> dict:
     state["hulls_data"]["change"] = {}
     state["hulls_data"]["undraw"] = set()
     for i in hulls.keys():
-        # state['hulls_data'][i] = {
-        #     'name': hulls[i]['name'],
-        #     'cords': hulls[i]['polygon_points'],
-        #     'line_cords': hulls[i]['polygon_lines'],
-        #     'cluster_points': hulls[i]['cluster_points']
-        # }
         state["hulls_data"]["hulls"][hulls[i]["name"]] = {
             "cords": hulls[i]["polygon_points"],
             "line_cords": hulls[i]["polygon_lines"],
@@ -763,14 +715,5 @@ def parse_solution_to_editor_hull(hulls: dict, state: dict) -> dict:
         }
         state["hulls_data"][hulls[i]["name"]] = dict()
         state["hulls_data"][hulls[i]["name"]]["hull_line"] = dict()
-        
-        # for j, line in enumerate(hulls[i]["polygon_lines"]):
-        #     state["hulls_data"][hulls[i]["name"]]["hull_line"][j] = {
-        #         'x1': line[0][0],
-        #         'y1': line[0][1],
-        #         'x2': line[1][0],
-        #         'y2': line[1][1],
-        #         'val': hulls[i]["name"]
-        #     }
 
     return state
diff --git a/src/generator/labels_generator.py b/src/generator/labels_generator.py
index 4a2d3b0..8a4657d 100644
--- a/src/generator/labels_generator.py
+++ b/src/generator/labels_generator.py
@@ -150,10 +150,11 @@ def get_point(self) -> CPoint:
         return self.rp_x + self.r*np.cos(self.a), self.rp_y + self.r*np.sin(self.a)
     
     def get_err(self, include_x0: bool = False) -> float:
+        p = self.get_point()
         if include_x0:
             return (np.sqrt((self.rp_x-self.t_point[0])**2 + (self.rp_y-self.t_point[1])**2)) \
                     + np.sqrt((self.x0_x - self.t_point[0])**2 + (self.x0_y - self.t_point[1])**2)/self.x0_error_loss_parameter_denominator
-        return np.sqrt((self.rp_x-self.t_point[0])**2 + (self.rp_y-self.t_point[1])**2)
+        return np.sqrt((self.rp_x-self.t_point[0])**2 + (self.rp_y-self.t_point[1])**2) + np.sqrt((self.rp_x-p[0])**2 + (self.rp_y-p[1])**2)
     
     def get_mpoint(self) -> CPoint:
         x, y = self.get_point()
@@ -769,9 +770,6 @@ def calc(idata: InData,
         accept = curr_config['accept']
         no_local_search = curr_config['no_local_search']
 
-        # res = dual_annealing(loss, bounds=labels_bounds, args=(ll, mset, curr_config['generate_greedy_x0']),
-        #                      x0=x0, maxiter=maxiter, visit=visit, initial_temp=initial_temp, 
-        #                      restart_temp_ratio=restart_temp_ratio, accept=accept, no_local_search=no_local_search)
         res = dual_annealing(mixed_square_loss, bounds=labels_bounds, args=(ll, [], mset, curr_config['generate_greedy_x0']),
                              x0=x0, maxiter=maxiter, visit=visit, initial_temp=initial_temp, 
                              restart_temp_ratio=restart_temp_ratio, accept=accept, no_local_search=no_local_search)
@@ -794,9 +792,6 @@ def calc(idata: InData,
         daql = divide_and_conquare(ll)
         res_ll = [group[0] for group in daql if len(group) == 1]
         for group in daql:
-
-            if len(group) == 1:
-                continue
             
             labels_bounds = [(0, 190), (0, np.pi*2)]*len(group)
             labels_bounds.extend([(0, 4)]*len(group))
@@ -931,23 +926,3 @@ def _debug_draw(ll: List[Label], points: np.ndarray):
         plt.plot(raw_points[:,0], raw_points[:,1])
         plt.plot([tp[0], rp[0]], [tp[1], rp[1]])
     plt.show()
-
-
-#TODO:
-# [x] try polar coordinates
-# [x] iterative approach
-# [x] hull swelling
-# [x] divide and conquare solution (by initial x0)
-# [x] divide and conquare solution (by initial x0)
-# [ ] iterative x0
-# [ ] divide and conquare solution (after initial iterative solution, using final lines intersections)
-
-# IMPORTANT
-
-# consider the fact that the label itself is in the label set while querying for other labels in global optimization
-# think of solution to it. This might be very bad for the optimization as it will always wiggle
-
-# IMPORTANT
-
-# consider the fact that the label itself is in the label set while querying for other labels in global optimization
-# think of solution to it. This might be very bad for the optimization as it will always wiggle
diff --git a/src/main.py b/src/main.py
index ba134af..ccf96a2 100644
--- a/src/main.py
+++ b/src/main.py
@@ -22,17 +22,18 @@
 logging.getLogger('PIL').setLevel(logging.WARNING)
 
 
-def draw_maps(raw_data: Union[str, Experiment],
-              out_path: str | None, delim=';',
+def draw_maps(raw_data: str,
+              out_path: str | None,
+              delim=';',
               config_id: str = 'divide_and_conquare') -> Optional[State]:
     """ Automatic map creator
     
     Parameters
     ----------
-    raw_data: str or Experiment
-        Either string with path to the csv file or an instance of mapel...Experiment
+    raw_data: str
+        String with path to the csv file
     out_path: str or None
-        Path for the .jpg image to be saved to. If None raw drawer data is returned
+        Path for the .png image to be saved to. If None raw drawer data is returned
         for the editor drawer operations
     delim: str
         If raw_data is a csv file the delim is used as input delimiter.
@@ -46,88 +47,6 @@ def draw_maps(raw_data: Union[str, Experiment],
         If out_path is None. Dict has raw data needed for interactive editor.
     None:
         Otherwise.
-
-    Notes
-    -----
-    Output format for the editor:
-    {
-        data: 
-        {
-            "culture_name":
-            {
-                'x': np.array(), 
-                'y': np.array()
-            },
-            "second_culture_name":
-            ...
-        }
-
-        cluster_data: 
-        {
-            "cluster_name": 
-            {
-                'x': np.array(), 
-                'y': np.array(), 
-                // TODO: additional cluster data?
-                'org': list("original_culture_name", ...)
-            },
-            "second_cluster_name":
-            ...
-        }
-
-        hulls_data: 
-        {
-            hulls:
-            {
-                hull_name
-                {
-                    cords': list[tuple[float, float]] 
-                        // coordinates of hull points
-                    'line_cords': list[tuple[tuple[float, float], tuple[float, float]]] 
-                        // hull's lines
-                    'cluster_points':
-                    {
-                        'x': np.array()
-                        'y': np.array()
-                    }
-                }
-            },
-
-            change:
-            {
-                'hull_name':
-                pd.Series('x', 'y', 'type') 
-            },
-            
-            undraw: set(hull_name)
-        }
-
-        'labels_data':
-        {
-            label_id: int:
-            {
-                'text': str
-                'x': float
-                'y': float
-                'arrows':
-                {
-                    arrow_id: int:
-                    {
-                        'ref_x': float
-                        'ref_y': float
-                        'att_x': float
-                        'att_y': float
-                        'val': str
-                    }
-                }
-            },
-            second_label_id: int:
-            ...
-            'size': float 10.0
-            'arrow_size': float 1.0
-        }
-    }
-
     """
 
     parsed_data = parse_data(raw_data, delim)
@@ -180,12 +99,12 @@ def draw_maps(raw_data: Union[str, Experiment],
     bbox = ax.get_tightbbox().transformed(fig.dpi_scale_trans.inverted())
     
     os.makedirs(os.path.dirname(out_path), exist_ok=True)
-    fig.savefig(out_path, bbox_inches=bbox, pad_inches=0)
+    fig.savefig(out_path, bbox_inches=bbox, pad_inches=0, dpi=Configuration['global']['dpi'])
 
     return None
 
 
-def draw_maps_editor(raw_data: Union[str, Experiment], delim=';') -> None:
+def draw_maps_editor(raw_data: str, delim=';', config_id='iterative') -> None:
     """ Interactive matplotlib editor for creating maps
     
     Parameters
@@ -194,13 +113,15 @@ def draw_maps_editor(raw_data: Union[str, Experiment], delim=';') -> None:
         Either string with path to the csv file or an instance of mapel...Experiment
     delim: str
         If raw_data is a csv file the delim is used as input delimiter.
-    
+    config_id: str
+        String id specifying a group of parameters in the Configuration class which 
+        affect auto generation
     """
 
-    state = draw_maps(raw_data, None, delim)
-    assert state is not None # editor needs init state for now (might use default cache later)
+    state = draw_maps(raw_data, None, delim, config_id=config_id)
+    assert state is not None # editor needs init state
 
     format_string = '%(asctime)s %(filename)s %(funcName)s %(lineno)d %(message)s'
-    logging.basicConfig(stream=sys.stderr, level=logging.DEBUG, format=format_string)
+    logging.basicConfig(stream=sys.stderr, level=logging.CRITICAL, format=format_string) # change level for debugging information
     editor = Editor(state)
     editor.run()