examples/sum_benchmarking.rb in pycall-0.1.0.alpha.20170711 vs examples/sum_benchmarking.rb in pycall-1.0.0

@@ -14,40 +14,36 @@
 array = Array.new(100_000) { rand }
 
 trials = 100
 results = { method: [], runtime: [] }
 
-# Array#sum
-trials.times do
-  results[:method] << 'sum'
-  results[:runtime] << Benchmark.realtime { array.sum }
-end
-
-# Array#inject(:+)
-trials.times do
-  results[:method] << 'inject'
-  results[:runtime] << Benchmark.realtime { array.inject(:+) }
-end
-
-# while
 def while_sum(ary)
   sum, i, n = 0, 0, ary.length
   while i < n
     sum += ary[i]
     i += 1
   end
   sum
 end
 
 trials.times do
+  # Array#sum
+  results[:method] << 'sum'
+  results[:runtime] << Benchmark.realtime { array.sum }
+
+  # Array#inject(:+)
+  results[:method] << 'inject'
+  results[:runtime] << Benchmark.realtime { array.inject(:+) }
+
+  # while
   results[:method] << 'while'
   results[:runtime] << Benchmark.realtime { while_sum(array) }
 end
 
 # visualization
 
-df = pd.DataFrame.(PyCall::Dict.new(results))
-sns.barplot.(x: 'method', y: 'runtime', data: df)
-plt.title.("Array summation benchmark (#{trials} trials)")
-plt.xlabel.('Summation method')
-plt.ylabel.('Average runtime [sec]')
-plt.show.()
+df = pd.DataFrame.new(data: results)
+sns.barplot(x: 'method', y: 'runtime', data: df)
+plt.title("Array summation benchmark (#{trials} trials)")
+plt.xlabel('Summation method')
+plt.ylabel('Average runtime [sec]')
+plt.show()