opendp 0.14.2-dev.20260401.2

A library of differential privacy algorithms for the statistical analysis of sensitive private data.
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>>> dp.enable_features("contrib")
>>> random_string = dp.m.make_randomized_response(['a', 'b', 'c'], 0.99)
>>> print('a?', random_string('a'))
a? ...