--- csv.py.orig	2017-01-19 12:27:44.000000000 -0600
+++ csv.py	2017-02-04 01:18:41.541172658 -0600
@@ -106,14 +106,12 @@
     ascii = [chr(c) for c in range(127)] # 7-bit ASCII
 
     # build frequency tables
-    chunkLength = min(10, len(data))
-    iteration = 0
+    chunkLength = 10
     charFrequency = {}
     modes = {}
     delims = {}
     start, end = 0, min(chunkLength, len(data))
     while start < len(data):
-        iteration += 1
         for line in data[start:end]:
             for char in ascii:
                 metaFrequency = charFrequency.get(char, {})
@@ -140,7 +138,7 @@
 
         # build a list of possible delimiters
         modeList = modes.items()
-        total = float(chunkLength * iteration)
+        total = float(end)
         # (rows of consistent data) / (number of rows) = 100%
         consistency = 1.0
         # minimum consistency threshold
@@ -161,7 +159,7 @@
 
         # analyze another chunkLength lines
         start = end
-        end += chunkLength
+        end = min(end + chunkLength, len(data))
 
     if not delims:
         return ('', 0)