opendp.combinators module#
- opendp.combinators.make_basic_composition(measurements)[source]#
Construct the DP composition [
measurement0
,measurement1
, …]. Returns a Measurement that when invoked, computes[measurement0(x), measurement1(x), ...]
All metrics and domains must be equivalent, except for the output domain.
make_basic_composition in Rust documentation.
- Parameters:
measurements (Any) – A vector of Measurements to compose.
- Return type:
- Raises:
TypeError – if an argument’s type differs from the expected type
UnknownTypeError – if a type argument fails to parse
OpenDPException – packaged error from the core OpenDP library
- opendp.combinators.make_chain_mt(measurement1, transformation0)[source]#
Construct the functional composition (
measurement1
○transformation0
). Returns a Measurement that when invoked, computesmeasurement1(transformation0(x))
.make_chain_mt in Rust documentation.
- Parameters:
measurement1 (Measurement) – outer mechanism
transformation0 (Transformation) – inner transformation
- Return type:
- Raises:
TypeError – if an argument’s type differs from the expected type
UnknownTypeError – if a type argument fails to parse
OpenDPException – packaged error from the core OpenDP library
- opendp.combinators.make_chain_pm(postprocess1, measurement0)[source]#
Construct the functional composition (
postprocess1
○measurement0
). Returns a Measurement that when invoked, computespostprocess1(measurement0(x))
. Used to represent non-interactive postprocessing.make_chain_pm in Rust documentation.
- Parameters:
postprocess1 (Function) – outer postprocessor
measurement0 (Measurement) – inner measurement/mechanism
- Return type:
- Raises:
TypeError – if an argument’s type differs from the expected type
UnknownTypeError – if a type argument fails to parse
OpenDPException – packaged error from the core OpenDP library
- opendp.combinators.make_chain_tt(transformation1, transformation0)[source]#
Construct the functional composition (
transformation1
○transformation0
). Returns a Transformation that when invoked, computestransformation1(transformation0(x))
.make_chain_tt in Rust documentation.
- Parameters:
transformation1 (Transformation) – outer transformation
transformation0 (Transformation) – inner transformation
- Return type:
- Raises:
TypeError – if an argument’s type differs from the expected type
UnknownTypeError – if a type argument fails to parse
OpenDPException – packaged error from the core OpenDP library
- opendp.combinators.make_fix_delta(measurement, delta)[source]#
Fix the delta parameter in the privacy map of a
measurement
with a SmoothedMaxDivergence output measure.make_fix_delta in Rust documentation.
- Parameters:
measurement (Measurement) – a measurement with a privacy curve to be fixed
delta (Any) – parameter to fix the privacy curve with
- Return type:
- Raises:
TypeError – if an argument’s type differs from the expected type
UnknownTypeError – if a type argument fails to parse
OpenDPException – packaged error from the core OpenDP library
- opendp.combinators.make_population_amplification(measurement, population_size)[source]#
Construct an amplified measurement from a
measurement
with privacy amplification by subsampling. This measurement does not perform any sampling. It is useful when you have a dataset on-hand that is a simple random sample from a larger population.The DIA, DO, MI and MO between the input measurement and amplified output measurement all match.
Protected by the “honest-but-curious” feature flag because a dishonest adversary could set the population size to be arbitrarily large.
make_population_amplification in Rust documentation.
- Parameters:
measurement (Measurement) – the computation to amplify
population_size (int) – the size of the population from which the input dataset is a simple sample
- Return type:
- Raises:
TypeError – if an argument’s type differs from the expected type
UnknownTypeError – if a type argument fails to parse
OpenDPException – packaged error from the core OpenDP library
- opendp.combinators.make_pureDP_to_fixed_approxDP(measurement)[source]#
Constructs a new output measurement where the output measure is casted from
MaxDivergence<QO>
toFixedSmoothedMaxDivergence<QO>
.make_pureDP_to_fixed_approxDP in Rust documentation.
- Parameters:
measurement (Measurement) – a measurement with a privacy measure to be casted
- Return type:
- Raises:
TypeError – if an argument’s type differs from the expected type
UnknownTypeError – if a type argument fails to parse
OpenDPException – packaged error from the core OpenDP library
- opendp.combinators.make_pureDP_to_zCDP(measurement)[source]#
Constructs a new output measurement where the output measure is casted from
MaxDivergence<QO>
toZeroConcentratedDivergence<QO>
.make_pureDP_to_zCDP in Rust documentation.
Citations:
- Parameters:
measurement (Measurement) – a measurement with a privacy measure to be casted
- Return type:
- Raises:
TypeError – if an argument’s type differs from the expected type
UnknownTypeError – if a type argument fails to parse
OpenDPException – packaged error from the core OpenDP library
- opendp.combinators.make_sequential_composition(input_domain, input_metric, output_measure, d_in, d_mids)[source]#
Construct a queryable that interactively composes interactive measurements.
make_sequential_composition in Rust documentation.
- Parameters:
input_domain – indicates the space of valid input datasets
input_metric – how distances are measured between members of the input domain
output_measure – how privacy is measured
d_in (Any) – maximum distance between adjacent input datasets
d_mids (Any) – maximum privacy expenditure of each query
- Return type:
- Raises:
TypeError – if an argument’s type differs from the expected type
UnknownTypeError – if a type argument fails to parse
OpenDPException – packaged error from the core OpenDP library
- opendp.combinators.make_zCDP_to_approxDP(measurement)[source]#
Constructs a new output measurement where the output measure is casted from
ZeroConcentratedDivergence<QO>
toSmoothedMaxDivergence<QO>
.make_zCDP_to_approxDP in Rust documentation.
- Parameters:
measurement (Measurement) – a measurement with a privacy measure to be casted
- Return type:
- Raises:
TypeError – if an argument’s type differs from the expected type
UnknownTypeError – if a type argument fails to parse
OpenDPException – packaged error from the core OpenDP library