- Fix chunks for when length of input is smaller than chunk size.

README.md

@@ -11,6 +11,9 @@ Tested on linux on python 2.7 and 3.8 and on Windows and OSX on python 3.8.
 - Using dill instead of pickle: a lot more objects can be used when parallelizing
 - Progress bars are built-in
 
+## Installation
+pip install parfor
+
 ## Usage
 Parfor decorates a functions and returns the result of that function evaluated in parallel for each iteration of
 an iterator.

parfor/__init__.py

@@ -118,8 +118,8 @@ def chunks(n, *args):
     """ Yield successive n-sized chunks from lists. """
     A = len(args)==1
     N = len(args[0])
-    n = int(round(N/round(N/n)))
-    for i in range(0, N, n):
+    n = int(round(N/max(1, round(N/n))))
+    for i in range(0, N, n) if N else []:
         if A:
             yield args[0][i:i+n]
         else:

setup.py

@@ -5,7 +5,7 @@ with open("README.md", "r") as fh:
 
 setuptools.setup(
     name="parfor",
-    version="2020.09.4",
+    version="2020.11.24",
     author="Wim Pomp",
     author_email="wimpomp@gmail.com",
     description="A package to mimic the use of parfor as done in Matlab.",