How to calculate the Silhouette Score for the whole cluster

Question

we can easily extract the silhouette score for each sample. If our data looks something like this: I want to be able to calculate the silhouette score for the whole cluster solution

import pandas as pd
import numpy as np


X = np.array([0.85142858,0.85566274,0.85364912,0.81536489,0.84929932,0.85042336,0.84899714,
         0.82019115, 0.86112067,0.8312496 ])
X=X.reshape(-1, 1)

num_clusters = 3
kmeans_model = KMedoids(n_clusters=num_clusters, random_state=1).fit(X)
cluster_labels = kmeans_model.labels_