feat: Initial commit

Laboratorio8/esercizio1.py

@@ -0,0 +1,27 @@
+def removeDup(a):
+    i=0
+    while i < len(a) - 1:
+        if a[i] == a[i + 1]:
+            a.pop(i)
+        else:
+            i += 1
+
+
+def sameElements(a, b):
+    cpa = sorted(a)
+    cpb = sorted(b)
+
+    if len(cpa) == len(cpb):
+        i=0
+        while i < len(cpa):
+            if cpa[i] != cpb[i]:
+                break
+            
+            i += 1
+        
+        if i == len(cpa):
+            return True
+    
+    return False
+
+print(sameElements([1,5,2,4,8], [1,4,2,8,5]))

Laboratorio8/esercizio2.py

@@ -0,0 +1,21 @@
+
+def retNumOrZero(values, row, column):
+    if 0 > row or row >= len(values) or 0 > column or row >= len(values[0]):
+        return None
+    
+    return values[row][column]
+
+def neighborAverage(values, row, column):
+    nums = [retNumOrZero(values, row - 1, column - 1), retNumOrZero(values, row - 1, column), retNumOrZero(values, row - 1, column + 1), retNumOrZero(values, row, column - 1), retNumOrZero(values, row, column), retNumOrZero(values, row, column + 1), retNumOrZero(values, row + 1, column - 1), retNumOrZero(values, row + 1, column), retNumOrZero(values, row + 1, column + 1)]
+    su = 0
+    d = 0
+    for n in nums:
+        if n is not None:
+            su += n
+            d += 1
+
+    print(su / d, end="\t")
+
+a = [[0,1,2],[3,4,5],[6,7,8]]
+
+neighborAverage(a, 0, 0)