More renamings

Author: dvadym

src/bindings/PyDP/algorithms/qunatile_tree.cpp

@@ -30,13 +30,13 @@ std::unique_ptr<dp::QuantileTree<double>> CreateQuantileTree(double lower, doubl
 
 dp::QuantileTree<double>::Privatized GetPrivatizeTree(
     dp::QuantileTree<double>& tree, double epsilon, double delta,
-    int max_partitions_contributed_to, int max_contributions_per_partition,
+    int max_partitions_contributed, int max_contributions_per_partition,
     const std::string& noise_type) {
   dp::QuantileTree<double>::DPParams dp_params;
   dp_params.epsilon = epsilon;
   dp_params.delta = delta;
   dp_params.max_contributions_per_partition = max_contributions_per_partition;
-  dp_params.max_partitions_contributed_to = max_partitions_contributed_to;
+  dp_params.max_partitions_contributed = max_partitions_contributed;
   // Create DP mechanism.
   if (noise_type == "laplace") {
     dp_params.mechanism_builder = std::make_unique<dp::LaplaceMechanism::Builder>();
@@ -130,11 +130,11 @@ void init_algorithms_quantile_tree(py::module& m) {
   py_class.def(
       "compute_quantiles_and_confidence_intervals",
       [](dp::QuantileTree<double>& tree, double epsilon, double delta,
-         int max_contributions_per_partition, int max_partitions_contributed_to,
+         int max_contributions_per_partition, int max_partitions_contributed,
          const std::vector<double>& quantiles, double confidence_interval_level,
          const std::string& noise_type) {
         dp::QuantileTree<double>::Privatized privatized_tree =
-            GetPrivatizeTree(tree, epsilon, delta, max_partitions_contributed_to,
+            GetPrivatizeTree(tree, epsilon, delta, max_partitions_contributed,
                              max_contributions_per_partition, noise_type);
 
         std::vector<QuantileConfidenceInterval> output;
@@ -155,7 +155,7 @@ void init_algorithms_quantile_tree(py::module& m) {
         }
         return output;
       },
-      py::arg("epsilon"), py::arg("delta"), py::arg("max_partitions_contributed_to"),
+      py::arg("epsilon"), py::arg("delta"), py::arg("max_partitions_contributed"),
       py::arg("max_contributions_per_partition"), py::arg("quantiles"),
       py::arg("confidence_interval_level"), py::arg("noise_type") = "laplace",
       "Compute multiple quantiles and confidence intervals for them.");