Write the code for three functions

group.py

@@ -2,4 +2,61 @@
 
 # Your code to go here...
 
-my_group =
+connections = ["friend", "partner", "landlord", "cousin", "tenant"]
+my_group = {
+    "Jill": {
+        "age": 26,
+        "job": "biologist",
+        "connections": {"Zalika": connections[0], "John": connections[1]},
+    },
+    "Zalika": {
+        "age": 28,
+        "job": "artist",
+        "connections": {"Jill": connections[0], "Nash": connections[4]},
+    },
+    "John": {
+        "age": 27,
+        "job": "writer",
+        "connections": {"Jill": connections[1], "Nash": connections[3]},
+    },
+    "Nash": {
+        "age": 34,
+        "job": "chef",
+        "connections": {"Zalika": connections[2], "John": connections[3]},
+    },
+}
+
+
+import numpy as np
+#The maximum age of people in the group.
+max_age = max(person['age'] for person in my_group.values())
+print(f"maximum age: {max_age}")
+
+#The average number of relations each person has.
+mean_relations = np.mean([len(person['connections']) for person in my_group.values()])
+print(f"average number of relations: {int(mean_relations)}")
+
+# Finding the maximum age of people who have at least one relation
+max_age_with_ge_one_relation = max(person['age'] for person in my_group.values() if person['connections'])
+print(f"maximum age of people who have at least one relation: {max_age_with_ge_one_relation}")
+
+# Finding the maximum age of people who have at least one friend
+max_age_with_ge_one_friend = max([person['age'] for person in my_group.values() if list(person['connections'].values()).count("friend")>=1])
+print(f"maximum age of people who have at least one friend {max_age_with_ge_one_friend}")
+
+def forget(person1, person2):
+    if person1 in my_group and person2 in my_group[person1]['connections']:
+        del my_group[person1]['connections'][person2]
+
+    if person2 in my_group and person1 in my_group[person2]['connections']:
+        del my_group[person2]['connections'][person1]
+
+def add_person(name, age, job, relations):
+    my_group[name] = {
+        "age": age,
+        "job": job,
+        "connections": relations
+    }
+
+def average_age():
+    return np.mean([person['age'] for person in my_group.values()])