aggiunto percettrone da hub scuola

percettrone.py

@@ -0,0 +1,54 @@
+FEATURES = 5
+THRESHOLD = 0.5
+
+def activation(x: float) -> int:
+    if x > THRESHOLD:
+        return 1
+    else:
+        return 0
+
+def carica_pesi(filename: str):
+    weights = []
+    
+    try:
+        with open(filename, "r") as file:
+            for i in range(FEATURES):
+                line = file.readline().strip()
+                if line.startswith("Peso"):
+                    try:
+                        val = float(line.split(':')[1].strip())
+                        weights.append(val)
+                    except (IndexError, ValueError):
+                        print(f"Errore nella lettura del peso {i}")
+                        return False, None, None
+                else:
+                    print(f"Errore nella lettura del peso {i}")
+                    return False, None, None
+            
+            line = file.readline().strip()
+            if line.startswith("Bias:"):
+                try:
+                    bias = float(line.split(':')[1].strip())
+                except (IndexError, ValueError):
+                    print("Errore nella lettura del bias")
+                    return False, None, None
+            else:
+                print("Errore nella lettura del bias")
+                return False, None, None
+
+            return True, weights, bias
+
+    except FileNotFoundError:
+        print(f"Errore: file {filename} non trovato!")
+        return False, None, None
+    except Exception as e:
+        print(f"Errore imprevisto: {e}")
+        return False, None, None
+
+def prevedi(weights: list, bias: float, input_data: list) -> int:
+    if len(weights) != FEATURES or len(input_data) != FEATURES:
+        raise ValueError(f"Attesi {FEATURES} pesi e {FEATURES} input.")
+
+    somma = bias + sum(w * i for w, i in zip(weights, input_data))
+    
+    return activation(somma)