python interface

Author: stefan-aws

docs/py/Benchmarks/gaussian_benchmarks.py

@@ -38,7 +38,7 @@
 
     for i in range(1100):
         start_time = timeit.default_timer()
-        r.DiscreteGaussianSample(sigma_num, sigma_denom, 7)
+        r.DiscreteGaussianSample(sigma_num, sigma_denom)
         elapsed = timeit.default_timer() - start_time
         vmc.append(elapsed)
 

docs/py/Benchmarks/gaussian_diagrams.py

@@ -28,7 +28,7 @@
     title_ibm_dpl = 'IBM-DPL, Sigma = ' + str(sigma)
 
     for _ in range(100000):
-        vmc_data.append(r.DiscreteGaussianSample(sigma_num, sigma_denom, 7))
+        vmc_data.append(r.DiscreteGaussianSample(sigma_num, sigma_denom))
         ibm_dgdp_data.append(discretegauss.sample_dgauss(sigma_squared, rng))
         ibm_dpl_data.append(g.randomise(0))
 

docs/py/TestSamplers.py

@@ -19,7 +19,7 @@ def main():
             print(r.BernoulliExpNegSample(i, j), end="\n")
 
             print("Testing DiscreteGaussian("+str(i)+"/"+str(j)+")\n")
-            print(r.DiscreteGaussianSample(i, j, 7), end="\n")
+            print(r.DiscreteGaussianSample(i, j), end="\n")
 
             print("Testing DiscreteLaPlace("+str(i)+"/"+str(j)+")\n")
             print(r.DiscreteLaplaceSample(i, j), end="\n")
@@ -36,9 +36,9 @@ def main():
     print(r.BernoulliExpNegSample(1, 1000000), end="\n")
 
     print("Testing DiscreteGaussianSample(1000000, 1)\n")
-    print(r.DiscreteGaussianSample(1000000, 1, 7), end="\n")
+    print(r.DiscreteGaussianSample(1000000, 1), end="\n")
     print("Testing DiscreteGaussianSample(1, 1000000)\n")
-    print(r.DiscreteGaussianSample(1, 1000000, 7), end="\n")
+    print(r.DiscreteGaussianSample(1, 1000000), end="\n")
 
     print("Testing DiscreteLaplace(1000000, 1)\n")
     print(r.DiscreteLaplaceSample(1000000, 1), end="\n")

src/interop/py/Full/Random.py

@@ -15,4 +15,7 @@ def Shuffle(self, xs):
     a = ArrayFromList(xs)
     DafnyVMCPart.Random.Shuffle(self, a)
     return list(a)
+  
+  def DiscreteGaussianSample(self, num, denom):
+     return DafnyVMCPart.Random.DiscreteGaussianSample(self, num, denom, 7)