Changelog#

0.6.3 - 2022-12-20#

Changed#

  • On Linux, Core previously used MPIR as a multi-precision arithmetic library to support FLINT and Arb. MPIR is no longer maintained, so Core now uses GMP instead. This change does not affect macOS builds, which have always used GMP, and does not change Core’s Python API.

Fixed#

  • Fixed a bug where PrivateJoin’s privacy relation would only accept string keys in the d_in. It now accepts any type of key.

0.6.2 - 2022-12-07#

This is a maintenance release which introduces a number of documentation improvements, but has no publicly-visible API changes.

Fixed#

  • check_java11() now has the correct behavior when Java is not installed.

0.6.1 - 2022-12-05#

Added#

  • Added approximate DP support to interactive mechanisms.

  • Added support for Spark 3.1 through 3.3, in addition to existing support for Spark 3.0.

Fixed#

  • Validation for SparkedGroupDataFrameDomains used to fail with a Spark AnalysisException in some environments. That should no longer happen.

0.6.0 - 2022-11-14#

Added#

  • Added new PrivateJoinOnKey transformation that works with AddRemoveKeys.

  • Added inverse CDF methods to noise mechanisms.

0.5.1 - 2022-11-03#

Fixed#

  • Domains and metrics make copies of mutable constructor arguments and return copies of mutable properties.

0.5.0 - 2022-10-14#

Changed#

  • Core no longer depends on the python-flint package, and instead packages libflint and libarb itself. Binary wheels are available, and the source distribution includes scripting to build these dependencies from source.

Fixed#

  • Equality checks on SparkGroupedDataFrameDomains used to occasionally fail with a Spark AnalysisException in some environments. That should no longer happen.

  • AddRemoveKeys now allows different names for the key column in each dataframe.

0.4.3 - 2022-09-01#

  • Core now checks to see if the user is running Java 11 or higher. If they are, Core either sets the appropriate Spark options (if Spark is not yet running) or raises an informative exception (if Spark is running and configured incorrectly).

0.4.2 - 2022-08-24#

Changed#

0.4.1 - 2022-07-25#

Added#

  • Added an alternate prng for non-intel architectures that don’t support RDRAND.

  • Add new metric AddRemoveKeys for multiple tables using IfGroupedBy(X, SymmetricDifference()).

  • Add new TransformValue base class for wrapping transformations to support AddRemoveKeys.

  • Add many new transformations using TransformValue: FilterValue, PublicJoinValue, FlatMapValue, MapValue, DropInfsValue, DropNaNsValue, DropNullsValue, ReplaceInfsValue, ReplaceNaNsValue, ReplaceNullsValue, PersistValue, UnpersistValue, SparkActionValue, RenameValue, SelectValue.

Changed#

  • Fixed bug in ReplaceNulls to not allow replacing values for grouping column in IfGroupedBy.

  • Changed ReplaceNulls, ReplaceNaNs, and ReplaceInfs to only support specific IfGroupedBy metrics.

0.3.2 - 2022-06-23#

Changed#

  • Moved IMMUTABLE_TYPES from utils/testing.py to utils/type_utils.py to avoid importing nose when accessing IMMUTABLE_TYPES.

0.3.1 - 2022-06-23#

Changed#

  • Fixed copy_if_mutable so that it works with containers that can’t be deep-copied.

  • Reverted change from 0.3.0 “Add checks in ParallelComposition constructor to only permit L1/L2 over SymmetricDifference or AbsoluteDifference.”

  • Temporarily disabled flaky statistical tests.

0.3.0 - 2022-06-22#

Added#

  • Added new transformations DropInfs and ReplaceInfs for handling infinities in data.

  • Added IfGroupedBy(X, SymmetricDifference()) input metric.

    • Added support for this metric to Filter, Map, FlatMap, PublicJoin, Select, Rename, DropNaNs, DropNulls, DropInfs, ReplaceNulls, ReplaceNaNs, and ReplaceInfs.

  • Added new truncation transformations for IfGroupedBy(X, SymmetricDifference()): LimitRowsPerGroup, LimitKeysPerGroup

  • Added AddUniqueColumn for switching from SymmetricDifference to IfGroupedBy(X, SymmetricDifference()).

  • Added a topic guide around NaNs, nulls and infinities.

Changed#

  • Moved truncation transformations used by PrivateJoin to be functions (now in utils/truncation.py).

  • Change GroupBy and PartitionByKeys to have an use_l2 argument instead of output_metric.

  • Fixed bug in AddUniqueColumn.

  • Operations that group on null values are now supported.

  • Modify CountDistinctGrouped and CountDistinct so they work as expected with null values.

  • Changed ReplaceNulls, ReplaceNaNs, and ReplaceInfs to only support specific IfGroupedBy metrics.

  • Fixed bug in ReplaceNulls to not allow replacing values for grouping column in IfGroupedBy.

  • PrivateJoin has a new parameter for __init__: join_on_nulls. When join_on_nulls is True, the PrivateJoin can join null values between both dataframes.

  • Changed transformations and measurements to make a copy of mutable constructor arguments.

  • Add checks in ParallelComposition constructor to only permit L1/L2 over SymmetricDifference or AbsoluteDifference.

Removed#

  • Removed old examples from examples/. Future examples will be added directly to the documentation.

0.2.0 - 2022-04-12 (internal release)#

Added#

  • Added SparkDateColumnDescriptor and SparkTimestampColumnDescriptor, enabling support for Spark dates and timestamps.

  • Added two exception types, InsufficientBudgetError and InactiveAccountantError, to PrivacyAccountants.

  • Future documentation will include any exceptions defined in this library.

  • Added cleanup.remove_all_temp_tables() function, which will remove all temporary tables created by Core.

  • Added new components DropNaNs, DropNulls, ReplaceNulls, and ReplaceNaNs.

0.1.1 - 2022-02-24 (internal release)#

Added#

  • Added new implementations for SequentialComposition and ParallelComposition.

  • Added new spark transformations: Persist, Unpersist and SparkAction.

  • Added PrivacyAccountant.

  • Installation on Python 3.7.1 through 3.7.3 is now allowed.

  • Added DecorateQueryable, DecoratedQueryable and create_adaptive_composition components.

Changed#

  • Fixed a bug where create_quantile_measurement would always be created with PureDP as the output measure.

  • PySparkTest now runs tmlt.core.utils.cleanup.cleanup() during tearDownClass.

  • Refactored noise distribution tests.

  • Remove sorting from GroupedDataFrame.apply_in_pandas and GroupedDataFrame.agg.

  • Repartition DataFrames output by SparkMeasurement to prevent privacy violation.

  • Updated repartitioning in SparkMeasurement to use a random column.

  • Changed quantile implementation to use arblib.

  • Changed Laplace implementation to use arblib.

Removed#

  • Removed ExponentialMechanism and PermuteAndFlip components.

  • Removed AddNoise, AddLaplaceNoise, AddGeometricNoise, and AddDiscreteGaussianNoise from tmlt.core.measurements.pandas.series.

  • Removed SequentialComposition, ParallelComposition and corresponding Queryables from tmlt.core.measurements.composition.

  • Removed tmlt.core.transformations.cache.

0.1.0 - 2022-02-14 (internal release)#

Added#

  • Initial release.