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+"""
+Providing iterator functions that are not in all version of Python we support.
+Where possible, we try to use the system-native version and only fall back to
+these implementations if necessary.
+"""
+
+import itertools
+
+def compat_tee(iterable):
+ """
+ Return two independent iterators from a single iterable.
+
+ Based on http://www.python.org/doc/2.3.5/lib/itertools-example.html
+ """
+ # Note: Using a dictionary and a list as the default arguments here is
+ # deliberate and safe in this instance.
+ def gen(next, data={}, cnt=[0]):
+ dpop = data.pop
+ for i in itertools.count():
+ if i == cnt[0]:
+ item = data[i] = next()
+ cnt[0] += 1
+ else:
+ item = dpop(i)
+ yield item
+ next = iter(iterable).next
+ return gen(next), gen(next)
+
+def groupby(iterable, keyfunc=None):
+ """
+ Taken from http://docs.python.org/lib/itertools-functions.html
+ """
+ if keyfunc is None:
+ keyfunc = lambda x:x
+ iterable = iter(iterable)
+ l = [iterable.next()]
+ lastkey = keyfunc(l[0])
+ for item in iterable:
+ key = keyfunc(item)
+ if key != lastkey:
+ yield lastkey, l
+ lastkey = key
+ l = [item]
+ else:
+ l.append(item)
+ yield lastkey, l
+
+# Not really in itertools, since it's a builtin in Python 2.4 and later, but it
+# does operate as an iterator.
+def reversed(data):
+ for index in xrange(len(data)-1, -1, -1):
+ yield data[index]
+
+if hasattr(itertools, 'tee'):
+ tee = itertools.tee
+else:
+ tee = compat_tee
+if hasattr(itertools, 'groupby'):
+ groupby = itertools.groupby
+
+def is_iterable(x):
+ "A implementation independent way of checking for iterables"
+ try:
+ iter(x)
+ except TypeError:
+ return False
+ else:
+ return True
+
+def sorted(in_value):
+ "A naive implementation of sorted"
+ out_value = in_value[:]
+ out_value.sort()
+ return out_value