- PEP 3106: dict.iterkeys(), .iteritems(), .itervalues() are now gone;
and .keys(), .items(), .values() return dict views.
The dict views aren't fully functional yet; in particular, they can't
be compared to sets yet. but they are useful as "iterator wells".
There are still 27 failing unit tests; I expect that many of these
have fairly trivial fixes, but there are so many, I could use help.
diff --git a/Lib/csv.py b/Lib/csv.py
index e8c8cef..92e4666 100644
--- a/Lib/csv.py
+++ b/Lib/csv.py
@@ -278,7 +278,7 @@
charFrequency[char] = metaFrequency
for char in charFrequency.keys():
- items = charFrequency[char].items()
+ items = list(charFrequency[char].items())
if len(items) == 1 and items[0][0] == 0:
continue
# get the mode of the frequencies
@@ -308,7 +308,7 @@
consistency -= 0.01
if len(delims) == 1:
- delim = delims.keys()[0]
+ delim = list(delims.keys())[0]
skipinitialspace = (data[0].count(delim) ==
data[0].count("%c " % delim))
return (delim, skipinitialspace)
@@ -367,7 +367,7 @@
if len(row) != columns:
continue # skip rows that have irregular number of columns
- for col in columnTypes.keys():
+ for col in list(columnTypes.keys()):
for thisType in [int, int, float, complex]:
try: