Merge pull request #68 from mojtaba-eshghie/feature_issue_67

Feature issue 67

Author: mojtaba-eshghie

use-cases/dynamically-mined-invariant-denoising/RQ1.py

@@ -0,0 +1,85 @@
+import json
+import pandas as pd
+import matplotlib.pyplot as plt
+import numpy as np
+
+
+def label_selector(file_path:str):
+    if file_path == 'erc20':
+        return "ERC20"
+    else:
+        return "SoK"
+
+
+def RQ1(file_path):
+
+    # Load data from JSON file
+    with open(file_path, 'r') as f:
+        data = json.load(f)
+
+    file_path = file_path.removeprefix("./")
+    file_path = file_path.removesuffix(".json")
+    # Flatten nested JSON structure
+    flat_data = []
+    for item in data:
+        if isinstance(item, list):  # Handle list of lists
+            flat_data.extend(item)
+        else:
+            flat_data.append(item)
+
+    # Convert to DataFrame
+    df = pd.DataFrame(flat_data)
+
+    # Calculate total and average times
+    total_parsing_time = df['total_parsing_time'].sum()
+    total_reduction_time = df['total_reduction_time'].sum()
+    average_parsing_time = df['total_parsing_time'].mean()
+    average_reduction_time = df['total_reduction_time'].mean()
+    average_reduction_ratio = round(df['reduction_ratio'].mean(),2)
+    predicates_removed = df["predicates_before_reduction"].sum() - df["predicates_after_reduction"].sum()
+    average_predicates_removed = predicates_removed / len(df)
+
+    # Print calculated values
+    print(f"Total Parsing Time: {total_parsing_time}")
+    print(f"Total Reduction Time: {total_reduction_time}")
+    print(f"Average Parsing Time: {average_parsing_time}")
+    print(f"Average Reduction Time: {average_reduction_time}")
+    print(f"Average Reduction Ratio: {average_reduction_ratio}")
+    print(f"Average predicates removed: {average_predicates_removed}")
+    print(f"Total predicates removed: {predicates_removed}")
+
+    # Generate histogram for reduction ratio with custom ticks and no grid
+    num_bins = 4
+    counts, bins, patches = plt.hist(df['reduction_ratio'], bins=num_bins, edgecolor='black', alpha=0.8, align='mid')
+
+    # Set the x-ticks to be at the center of each bin
+    bin_centers = 0.5 * (bins[1:] + bins[:-1])
+    plt.xticks(bin_centers, [f"{center:.2f}" for center in bin_centers])
+
+
+
+    # Set the x-ticks to be at the center of each bin, with 0.65 instead of 0.66
+    bin_centers = 0.5 * (bins[1:] + bins[:-1])
+    custom_ticks = [f"{center:.2f}" for center in bin_centers]
+    if file_path == 'sok':
+        custom_ticks[0] = '0.65'  # Change the first tick to 0.65
+
+    plt.xticks(bin_centers, custom_ticks)
+
+    # Set labels and title
+    plt.xlabel('Reduction Ratio',  fontsize=14)
+    plt.ylabel('Frequency' ,fontsize=14)
+    # plt.title(f'Histogram of Reduction Ratios {label_selector(file_path)} for Smart Contract', fontsize=16)
+
+    # Turn off the grid
+    plt.grid(False)
+
+    # Save and show the plot
+    plt.savefig(f'reduction_ratio_histogram_{file_path}.pdf', format='pdf', dpi=300)
+    plt.clf()
+
+
+if __name__ == "__main__":
+    RQ1("./erc20.json")
+    # print("_______________________________________________________________")
+    RQ1("./sok.json")