Make the derived tools amendable to cut and paste.

Doc/lib/libitertools.tex

@@ -328,59 +328,59 @@ included here to illustrate how higher level tools can be created
 from building blocks.
 
 \begin{verbatim}
->>> def enumerate(iterable):
-...     return izip(count(), iterable)
-
->>> def tabulate(function):
-...     "Return function(0), function(1), ..."
-...     return imap(function, count())
-
->>> def iteritems(mapping):
-...     return izip(mapping.iterkeys(), mapping.itervalues())
-
->>> def nth(iterable, n):
-...     "Returns the nth item"
-...     return list(islice(iterable, n, n+1))
-
->>> def all(pred, seq):
-...     "Returns True if pred(x) is True for every element in the iterable"
-...     return False not in imap(pred, seq)
-
->>> def some(pred, seq):
-...     "Returns True if pred(x) is True at least one element in the iterable"
-...     return True in imap(pred, seq)
-
->>> def no(pred, seq):
-...     "Returns True if pred(x) is False for every element in the iterable"
-...     return True not in imap(pred, seq)
-
->>> def quantify(pred, seq):
-...     "Count how many times the predicate is True in the sequence"
-...     return sum(imap(pred, seq))
-
->>> def padnone(seq):
-...     "Returns the sequence elements and then returns None indefinitely"
-...     return chain(seq, repeat(None))
-
->>> def ncycles(seq, n):
-...     "Returns the sequence elements n times"
-...     return chain(*repeat(seq, n))
-
->>> def dotproduct(vec1, vec2):
-...     return sum(imap(operator.mul, vec1, vec2))
-
->>> def window(seq, n=2):
-...     "Returns a sliding window (of width n) over data from the iterable"
-...     "   s -> (s0,s1,...s[n-1]), (s1,s2,...,sn), ...                   "
-...     it = iter(seq)
-...     result = tuple(islice(it, n))
-...     if len(result) == n:
-...         yield result    
-...     for elem in it:
-...         result = result[1:] + (elem,)
-...         yield result
-
->>> def take(n, seq):
-...     return list(islice(seq, n))
+def enumerate(iterable):
+    return izip(count(), iterable)
+
+def tabulate(function):
+    "Return function(0), function(1), ..."
+    return imap(function, count())
+
+def iteritems(mapping):
+    return izip(mapping.iterkeys(), mapping.itervalues())
+
+def nth(iterable, n):
+    "Returns the nth item"
+    return list(islice(iterable, n, n+1))
+
+def all(pred, seq):
+    "Returns True if pred(x) is True for every element in the iterable"
+    return False not in imap(pred, seq)
+
+def some(pred, seq):
+    "Returns True if pred(x) is True at least one element in the iterable"
+    return True in imap(pred, seq)
+
+def no(pred, seq):
+    "Returns True if pred(x) is False for every element in the iterable"
+    return True not in imap(pred, seq)
+
+def quantify(pred, seq):
+    "Count how many times the predicate is True in the sequence"
+    return sum(imap(pred, seq))
+
+def padnone(seq):
+    "Returns the sequence elements and then returns None indefinitely"
+    return chain(seq, repeat(None))
+
+def ncycles(seq, n):
+    "Returns the sequence elements n times"
+    return chain(*repeat(seq, n))
+
+def dotproduct(vec1, vec2):
+    return sum(imap(operator.mul, vec1, vec2))
+
+def window(seq, n=2):
+    "Returns a sliding window (of width n) over data from the iterable"
+    "   s -> (s0,s1,...s[n-1]), (s1,s2,...,sn), ...                   "
+    it = iter(seq)
+    result = tuple(islice(it, n))
+    if len(result) == n:
+        yield result    
+    for elem in it:
+        result = result[1:] + (elem,)
+        yield result
+
+def take(n, seq):
+    return list(islice(seq, n))
 
 \end{verbatim}