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

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