Lab_I_4_25_11_2020, Python 3

Lab_I_4_25_11_2020

#python 3.6.9

print ("Bye, bye, World!")
# Soner Berat Eren

graph = { "a" : ["c"],
          "b" : ["c", "e"],
          "c" : ["a", "b", "d", "e"],
          "d" : ["c"],          
          "e" : ["c", "b"],
          "f" : []
        }
# Ernesto Conjo

# Madi Aliyev drew a graph

graph1  = {"A":["B"] ,
           "B":["A","D","C"],
           "C":["B","D"],
           "D":["B","C"],
           "E":[]
          }
# Mavlonbek Zaynobiddinov

graph2 = { "A":["E" , "C", "D"],
          "B" : ["D", "F"] ,
          "C": ["E", "A" , "F"],
          "D": ["A", "B", "E"],
          "E": ["A", "C", "D"],
          "F": ["B", "C" ]
          }
# Luana Arouca

# Tai Con Trinh has not been there.
# Sumeyra-Meryem Turkhan has not been there.
# Shamsiddin Parpiev drew a graph (with the contribution of Nigel Arubinu)

print(graph2["A"])

for key , value in graph2.items():
    print("Key:", key, "value:", value)
# Mohamed El Orabi

# Minh Doan has been at his job and not able to work here.

def generate_edges(graph):
    edges = []
    Number_of_appends=0
    for node in graph:
        for neighbour in graph[node]:
            edges.append((node, neighbour))
            Number_of_appends += 1
    print("The number of appends is: ", Number_of_appends) 
    return edges

print(generate_edges(graph)) # Edson Domingos

print(generate_edges(graph1)) 
print(generate_edges(graph2)) # Soner Berat Eren

# Emel Sarli drew a graph

graph3  = {"A":[] ,
           "B":[],
           "C":[],
           "D":[]
          }

print(generate_edges(graph3)) # Ernesto Conjo came back!

# Let us characterize the size of the problem in terms of the number of edges = M.
# Let us also choose the measure of complexity as the number of appends.
# The case of a graph without edges is the "best case". The complexity is then 0. 
# What is the worst case? 
# The worst case is associated with graphs where all vertices are connected.

graph4  = {"A":["B", "C", "D", "E"] ,
           "B":["A","D","C", "E"],
           "C":["B","D", "A", "E"],
           "D":["B","C", "A", "E"],
           "E":["A", "B", "C", "D"]
          }

print(generate_edges(graph4)) # Madi Aliyev
# Luana Arouca drew a graph

# For M vertices, in the worst cas we have M*(M-1)/2 edges = number of appends
# The complexity is O(M**2).

# The homework: you encountered the number 6. That number is called "perfect",
# 6 = 1 + 2 + 3


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