All functions used by Brian classes not specific to one class reside here

Modules
		cPickle itertools level math os pygame random sets sys time types

Classes
		__builtin__.list(__builtin__.object) OptimizedList   class OptimizedList(__builtin__.list)       Method resolution order: OptimizedList __builtin__.list __builtin__.object Methods defined here: __contains__(self, obj) __delitem__(self, i) add(self, spr) extend(self, seq) index(self, obj) insert(self, pos, obj) remove(self, obj) Data and other attributes defined here: __dict__ = <dictproxy object> dictionary for instance variables (if defined) __weakref__ = <attribute '__weakref__' of 'OptimizedList' objects> list of weak references to the object (if defined) ids = [] Methods inherited from __builtin__.list: __add__(...) x.__add__(y) <==> x+y __delslice__(...) x.__delslice__(i, j) <==> del x[i:j]   Use of negative indices is not supported. __eq__(...) x.__eq__(y) <==> x==y __ge__(...) x.__ge__(y) <==> x>=y __getattribute__(...) x.__getattribute__('name') <==> x.name __getitem__(...) x.__getitem__(y) <==> x[y] __getslice__(...) x.__getslice__(i, j) <==> x[i:j]   Use of negative indices is not supported. __gt__(...) x.__gt__(y) <==> x>y __hash__(...) x.__hash__() <==> hash(x) __iadd__(...) x.__iadd__(y) <==> x+=y __imul__(...) x.__imul__(y) <==> x*=y __init__(...) x.__init__(...) initializes x; see x.__class__.__doc__ for signature __iter__(...) x.__iter__() <==> iter(x) __le__(...) x.__le__(y) <==> x<=y __len__(...) x.__len__() <==> len(x) __lt__(...) x.__lt__(y) <==> x<y __mul__(...) x.__mul__(n) <==> x*n __ne__(...) x.__ne__(y) <==> x!=y __repr__(...) x.__repr__() <==> repr(x) __rmul__(...) x.__rmul__(n) <==> n*x __setitem__(...) x.__setitem__(i, y) <==> x[i]=y __setslice__(...) x.__setslice__(i, j, y) <==> x[i:j]=y   Use  of negative indices is not supported. append(...) L.append(object) -- append object to end count(...) L.count(value) -> integer -- return number of occurrences of value pop(...) L.pop([index]) -> item -- remove and return item at index (default last) reverse(...) L.reverse() -- reverse *IN PLACE* sort(...) L.sort(cmpfunc=None) -- stable sort *IN PLACE*; cmpfunc(x, y) -> -1, 0, 1 Data and other attributes inherited from __builtin__.list: __new__ = <built-in method __new__ of type object> T.__new__(S, ...) -> a new object with type S, a subtype of T

Functions
		coor2dir(c) Converts (1, -1) style coords to "NE' style coords coor2rect(c) Converts ((x,y),(x,y)) style coords to a Rect object debug(*m) multiblit(dest, im) Blits ImageServer instance to surface. Assumes surface is large enough. multiply_surf(surf, x=2, y=2) Multiplies surfaces by x and y (repeating) picklable(obj) Checks whether object is picklable preserveuniq(s) Return a list of the elements in s in order, but without duplicates.   SOURCE:     Alex Martelli     http://aspn.activestate.com/ASPN/Cookbook/Python/Recipe/52560 printtrace() randcycle(l) Yield random items from l. subtractrect(outer, inner) tiled_blit(src, dest, destrect=None, offset=(0, 0), srcrect=None) Repeats blitting src to dest until destrect is filled. touches(rect1, rect2) Checks whether rect1 and rect2 touch each other. uniq(s) Return a list of the elements in s, but without duplicates.   For example, unique([1,2,3,1,2,3]) is some permutation of [1,2,3], unique("abcabc") some permutation of ["a", "b", "c"], and unique(([1, 2], [2, 3], [1, 2])) some permutation of [[2, 3], [1, 2]].   For best speed, all sequence elements should be hashable.  Then unique() will usually work in linear time.   If not possible, the sequence elements should enjoy a total ordering, and if list(s).sort() doesn't raise TypeError it's assumed that they do enjoy a total ordering.  Then unique() will usually work in O(N*log2(N)) time.   If that's not possible either, the sequence elements must support equality-testing.  Then unique() will usually work in quadratic time.   SOURCE:     Tim Peters, "Remove duplicates from a sequence", in:     Python Cookbook, 4 Juni 2001,     http://aspn.activestate.com/ASPN/Cookbook/Python/Recipe/52560

Data
		division = _Feature((2, 2, 0, 'alpha', 2), (3, 0, 0, 'alpha', 0), 8192)