Consider the pipeline below. What will pipe.predict([[3]]) return?

Consider the pipeline below. What will pipe.predict([[3]]) return?

from sklearn.pipeline import Pipeline
from sklearn.preprocessing import FunctionTransformer
from sklearn.linear_model import LinearRegression
import numpy as np

def cube(x):
    return x ** 3

pipe = Pipeline([
    ('cube', FunctionTransformer(cube)),
    ('lr', LinearRegression())
])

X_train = np.array([[1], [2], [3], [4]])
y_train = np.array([1, 8, 27, 64])
pipe.fit(X_train, y_train)

print(pipe.predict([[3]]))