NumericPerturbation - Masking different values for same source data

[prabhus163]

Describe the bug
Is it possible to get same masked value for a an integer for its all occurrences
In below sample, i am defining a column as age which has all values same as 14, but after masking its not giving same value.

To Reproduce
import pandas as pd
from cape_privacy.pandas import dtypes
from cape_privacy.pandas.transformations import NumericPerturbation
df = pd.DataFrame({"age": [14,14,14,14]})
perturb_age = NumericPerturbation(dtype=dtypes.Integer, min=-10, max=10, seed=111)
df["age"] = perturb_age(df["age"])
print(df)

Expected behavior
I am trying mask an integer with same value for all its occurrences

Screenshots