Refactoring: Fix compilation with new DP hash

prereqs_linux.sh

@@ -57,8 +57,9 @@ fi
 # Downloading the Google DP library
 git submodule update --init --recursive
 
+
 # checkout out to particular commit
-cd third_party/differential-privacy && git checkout 0b0a5c2315d84a6a7b1ff34591e33ec11680891e && \
+cd third_party/differential-privacy && git checkout 1b1dc6639173c0a13613189ec21851604a4c7335 && \
 cd -
 # renaming workspace.bazel to workspace
 mv third_party/differential-privacy/cc/WORKSPACE.bazel third_party/differential-privacy/cc/WORKSPACE

pydp/algorithms/algorithm.py

@@ -11,7 +11,7 @@ def __init__(self, **kwargs):
         if "upper_bound" in kwargs and kwargs["upper_bound"] is None:
             kwargs.pop("upper_bound")
 
-        binded_class = f"{self.__class__.__name__}{self.__map_dtype_str(dtype)}"
+        binded_class = self.__class__.__name__ + self.__map_dtype_str(dtype)
         class_ = getattr(_algorithms, binded_class)
 
         self.dtype = dtype
@@ -26,7 +26,7 @@ def __map_dtype_str(dtype):
         elif dtype == "float":
             return "Double"
         else:
-            raise RuntimeError(f"dtype: {dtype} is not supported")
+            raise RuntimeError("dtype: {} is not supported".format(dtype))
 
     @property
     def epsilon(self):

src/bindings/PyDP/algorithms/order_statistics.cpp

@@ -1,11 +1,12 @@
 // Provides bindings for Order Statistics
-#include "../pydp_lib/algorithm_builder.hpp"
 #include "algorithms/order-statistics.h"
 #include "pybind11/complex.h"
 #include "pybind11/functional.h"
 #include "pybind11/pybind11.h"
 #include "pybind11/stl.h"
 
+#include "../pydp_lib/algorithm_builder.hpp"
+
 using namespace std;
 
 namespace py = pybind11;

tests/algorithms/test_distributions.py

@@ -5,8 +5,6 @@
 from itertools import accumulate
 import math
 
-pytestmark = pytest.mark.skip(reason="distributions fail to compile")
-
 k_num_samples = 10000000
 k_num_geometric_samples = 1000000
 k_gaussian_samples = 1000000

tests/base/test_percentile.py

@@ -1,7 +1,10 @@
 import pytest
 import pydp as dp
 
-pytestmark = pytest.mark.skip(reason="this percentile is not the DP implementation")
+# TODO: check whether to delete this test suit or update it
+pytestmark = pytest.mark.skip(
+    reason="these tests were for the older percentile wrapping."
+)
 
 
 @pytest.mark.parametrize("input_class", [dp.algorithms.laplacian.Percentile])