From 6ed7c20ce5b01b69abbc01b9a22bdd9983db9c01 Mon Sep 17 00:00:00 2001 From: Raymond Hettinger Date: Thu, 10 Apr 2014 01:18:01 -0600 Subject: [PATCH] Update comment for the comparison table to use measured results rather than predicted. --- Lib/heapq.py | 19 ++++++++++--------- 1 file changed, 10 insertions(+), 9 deletions(-) diff --git a/Lib/heapq.py b/Lib/heapq.py index 789b17a6930..88c7019abc0 100644 --- a/Lib/heapq.py +++ b/Lib/heapq.py @@ -202,16 +202,17 @@ def _heapify_max(x): # Number of comparisons for n random inputs, keeping the k smallest values: # ----------------------------------------------------------- # Step Comparisons Action -# 1 2*k heapify the first k-inputs -# 2 n-k compare new input elements to top of heap -# 3 k*lg2(k)*(ln(n)-lg(k)) add new extreme values to the heap +# 1 1.66*k heapify the first k-inputs +# 2 n - k compare new input elements to top of heap +# 3 k*lg2(k)*(ln(n)-ln(k)) add new extreme values to the heap # 4 k*lg2(k) final sort of the k most extreme values # -# n-random inputs k-extreme values number of comparisons % more than min() -# --------------- ---------------- ------------------- ----------------- -# 10,000 100 13,634 36.3% -# 100,000 100 105,163 5.2% -# 1,000,000 100 1,006,694 0.7% +# number of comparisons +# n-random inputs k-extreme values average of 5 trials % more than min() +# --------------- ---------------- ------------------- ----------------- +# 10,000 100 14,046 40.5% +# 100,000 100 105,749 5.7% +# 1,000,000 100 1,007,751 0.8% # # Computing the number of comparisons for step 3: # ----------------------------------------------- @@ -234,7 +235,7 @@ def _heapify_max(x): # comparisons = k * log(k, 2) * (log(n,e) - log(k, e)) # # Worst-case for step 3: -# --------------------- +# ---------------------- # In the worst case, the input data is reversed sorted so that every new element # must be inserted in the heap: # comparisons = log(k, 2) * (n - k)