Neaten-up a bit.
diff --git a/Lib/functools.py b/Lib/functools.py
index c223a62..e8e9960 100644
--- a/Lib/functools.py
+++ b/Lib/functools.py
@@ -121,16 +121,15 @@
Arguments to the cached function must be hashable.
- Significant statistics (maxsize, size, hits, misses) are
- available through the f.cache_info() named tuple.
- Clear the cache and statistics using f.cache_clear().
- The underlying function is stored in f.__wrapped__.
+ View the cache statistics named tuple (maxsize, size, hits, misses) with
+ f.cache_info(). Clear the cache and statistics with f.cache_clear().
+ And access the underlying function with f.__wrapped__.
See: http://en.wikipedia.org/wiki/Cache_algorithms#Least_Recently_Used
"""
# Users should only access the lru_cache through its public API:
- # cache_info, cache_clear, and f.__wrapped__
+ # cache_info, cache_clear, and f.__wrapped__
# The internals of the lru_cache are encapsulated for thread safety and
# to allow the implementation to change (including a possible C version).
@@ -141,7 +140,7 @@
cache_popitem = cache.popitem
cache_renew = cache.move_to_end
hits = misses = 0
- kwd_mark = object() # separate positional and keyword args
+ kwd_mark = object() # separates positional and keyword args
lock = Lock()
@wraps(user_function)
@@ -165,7 +164,7 @@
return result
def cache_info():
- """Report significant cache statistics"""
+ """Report cache statistics"""
with lock:
return _CacheInfo(maxsize, len(cache), hits, misses)