attempt at output standardization for approximate counting (algorithm…

…-archivists#913)

* attempt at output standardization for approximate counting

* further standardization

contents/approximate_counting/code/c/approximate_counting.c

@@ -63,19 +63,24 @@ void test_approximation_count(size_t n_trials, size_t n_items, double a,
     }
     double avg = sum / n_trials;
 
-    assert(fabs((avg - n_items) / n_items) < threshold);
+    if (fabs((avg - n_items) / n_items) < threshold){
+        printf("passed\n");
+    }
+    else{
+        printf("failed\n");
+    }
 }
 
 int main()
 {
     srand(time(NULL));
 
-    printf("Counting Tests, 100 trials\n");
-    printf("testing 1000, a = 30, 10%% error\n");
+    printf("[#]\nCounting Tests, 100 trials\n");
+    printf("[#]\ntesting 1,000, a = 30, 10%% error\n");
     test_approximation_count(100, 1000, 30, 0.1);
-    printf("testing 12345, a = 10, 10%% error\n");
+    printf("[#]\ntesting 12,345, a = 10, 10%% error\n");
     test_approximation_count(100, 12345, 10, 0.1);
-    printf("testing 222222, a = 0.5, 20%% error\n");
+    printf("[#]\ntesting 222,222, a = 0.5, 20%% error\n");
     test_approximation_count(100, 222222, 0.5, 0.2);
 
     return 0;

contents/approximate_counting/code/cpp/approximate_counting.cpp

@@ -55,17 +55,17 @@ auto test_approximate_count(
   for (auto i = 0; i < n_trials; ++i)
     sum += approximate_count(n_items, a);
   const auto avg = sum / n_trials;
-  return std::abs((avg - n_items) / n_items) < threshold ? "pass" : "fail";
+  return std::abs((avg - n_items) / n_items) < threshold ? "passed" : "failed";
 }
 
 int main() {
-  std::cout << "Counting Tests, 100 trials\n";
+  std::cout << "[#]\nCounting Tests, 100 trials\n";
 
-  std::cout << "testing 1,000, a = 30, 10% error "
+  std::cout << "[#]\ntesting 1,000, a = 30, 10% error \n"
             << test_approximate_count(100, 1000, 30, 0.1) << "\n";
-  std::cout << "testing 12,345, a = 10, 10% error "
+  std::cout << "[#]\ntesting 12,345, a = 10, 10% error \n"
             << test_approximate_count(100, 12345, 10, 0.1) << "\n";
   // Note : with a lower a, we need more trials, so a higher % error here.
-  std::cout << "testing 222,222, a = 0.5, 20% error "
+  std::cout << "[#]\ntesting 222,222, a = 0.5, 20% error \n"
             << test_approximate_count(100, 222222, 0.5, 0.2) << "\n";
 }

contents/approximate_counting/code/julia/approximate_counting.jl

@@ -47,15 +47,21 @@ function test_approximate_count(n_trials, n_items, a, threshold)
 
     avg = sum(samples)/n_trials
 
-    @test (abs((avg - n_items) / n_items) < threshold)
+    if (abs((avg - n_items) / n_items) < threshold)
+        println("passed")
+    else
+        println("failed")
+    end
 end
 
-@testset "Counting Tests, 100 trials" begin
-    println("testing 1,000, a = 30, 10% error")
-        test_approximate_count(100, 1000, 30, 0.1)
-    println("testing 12,345, a = 10, 10% error")
-        test_approximate_count(100, 12345, 10, 0.1)
-    # Note: with a lower a, we need more trials, so a higher % error here.
-    println("testing 222,222, a = 0.5, 20% error")
-        test_approximate_count(100, 222222, 0.5, 0.2)
-end
+println("[#]\nCounting Tests, 100 trials")
+
+println("[#]\ntesting 1,000, a = 30, 10% error")
+test_approximate_count(100, 1000, 30, 0.1)
+
+println("[#]\ntesting 12,345, a = 10, 10% error")
+test_approximate_count(100, 12345, 10, 0.1)
+
+# Note: with a lower a, we need more trials, so a higher % error here.
+println("[#]\ntesting 222,222, a = 0.5, 20% error")
+test_approximate_count(100, 222222, 0.5, 0.2)

contents/approximate_counting/code/python/approximate_counting.py

@@ -40,10 +40,13 @@ def test_approximate_count(n_trials, n_items, a, threshold):
 
     if abs((avg - n_items)/n_items) < threshold:
         print("passed")
+    else:
+        print("failed")
 
-print("testing 1,000, a = 30, 10% error")
+print("[#]\nCounting Tests, 100 trials")
+print("[#]\ntesting 1,000, a = 30, 10% error")
 test_approximate_count(100, 1000, 30, 0.1)
-print("testing 12,345, a = 10, 10% error")
+print("[#]\ntesting 12,345, a = 10, 10% error")
 test_approximate_count(100, 12345, 10, 0.1)
-print("testing 222,222, a = 0.5, 20% error")
+print("[#]\ntesting 222,222, a = 0.5, 20% error")
 test_approximate_count(100, 222222, 0.5, 0.2)