Test

TEMA9/Mod1.py

@@ -0,0 +1,23 @@
+def find_anomalies(X, T1, T2):
+    anomalies = []
+    for i, value in enumerate(X):
+        if value < T1 or value > T2:
+            anomalies.append(i)
+    return anomalies
+
+
+def correct_anomalies(X, anomalies):
+    if not anomalies:
+        return X
+
+    X_list = list(X)
+    n = len(X_list)
+    avg_value = sum(X_list) / n
+
+    for idx in anomalies:
+        if idx == 0 or idx == n - 1:
+            X_list[idx] = avg_value
+        else:
+            X_list[idx] = (X_list[idx - 1] + X_list[idx + 1]) / 2
+
+    return tuple(X_list)