Module smartnoise_runtime::utilities::noise

Functions

apply_snapping_noise	Apply noise to value according to the Snapping mechanism. Sensitivity is assumed to be 1 in L1 space.
censored_specific_geom	Return sample from a censored Geometric distribution with parameter p=0.5 without calling to sample_bit_prob.
sample_binomial	Sample from the binomial distribution.
sample_bit
sample_bit_prob	Sample a single bit with arbitrary probability of success
sample_gaussian	Generates a draw from a Gaussian(loc, scale) distribution using the MPFR library.
sample_gaussian_truncated	Sample from truncated Gaussian distribution.
sample_geometric_censored	Sample from the censored geometric distribution with parameter “prob” and maximum number of trials “max_trials”.
sample_gumbel	Sample noise from the Gumbel Distribution
sample_laplace	Sample from Laplace distribution centered at shift and scaled by scale.
sample_simple_geometric_mechanism	Sample noise according to geometric mechanism
sample_uniform	Returns random sample from Uniform[min,max).
sample_uniform_int	Sample from uniform integers between min and max (inclusive).
sample_uniform_mpfr	Returns random sample from Uniform[min,max) using the MPFR library.
shuffle	Shuffle a vector