add calculating hamming distance between two DataFrames

mixnet/sim/hamming.py

@@ -0,0 +1,38 @@
+import sys
+
+import pandas as pd
+
+
+def calculate_hamming_distance(df1, df2):
+    if df1.shape != df2.shape:
+        raise ValueError(
+            "DataFrames must have the same shape to calculate Hamming distance."
+        )
+
+    # Compare element-wise and count differences
+    differences = (df1 != df2).sum().sum()
+    return differences / df1.size  # normalize the distance
+
+
+def main():
+    if len(sys.argv) != 3:
+        print("Usage: python hamming.py <csv_path1> <csv_path2>")
+        sys.exit(1)
+
+    csv_path1 = sys.argv[1]
+    csv_path2 = sys.argv[2]
+
+    # Load the CSV files into DataFrames
+    df1 = pd.read_csv(csv_path1)
+    df2 = pd.read_csv(csv_path2)
+
+    # Calculate the Hamming distance
+    try:
+        hamming_distance = calculate_hamming_distance(df1, df2)
+        print(f"Hamming distance: {hamming_distance}")
+    except ValueError as e:
+        print(f"Error: {e}")
+
+
+if __name__ == "__main__":
+    main()