Below is the syntax highlighted version of bst.py
from §4.4 Symbol Tables.
#----------------------------------------------------------------------- # bst.py #----------------------------------------------------------------------- # An OrderedSymbolTable object is a collection of key-value pairs that # is kept in order by key. This implementation uses a binary search # tree. class OrderedSymbolTable: #------------------------------------------------------------------- # Construct a new OrderedSymbolTable object. def __init__(self): self._root = None # Reference to root _Node object #------------------------------------------------------------------- # Search the subtree of self whose root is x for a _Node object # with the given key. If found, return that _Node object's value; # otherwise raise a KeyError. def _get(self, x, key): if x is None: raise KeyError if key < x.key: return self._get(x.left, key) elif x.key < key: return self._get(x.right, key) else: return x.val # Return the value associated with key in self. def __getitem__(self, key): return self._get(self._root, key) #------------------------------------------------------------------- # x is the root of a subtree self. If a _Node object with # the given key exists in that subtree, then set its # value to val. Otherwise insert a new _Node object consisting # of the given key and val into the subtree. Return the root of # the resulting subtree. def _set(self, x, key, val): if x is None: return _Node(key, val) if key < x.key: x.left = self._set(x.left, key, val) elif x.key < key: x.right = self._set(x.right, key, val) else: x.val = val return x # Associate key with val in self. def __setitem__(self, key, val): self._root = self._set(self._root, key, val) #------------------------------------------------------------------- # Search the subtree of self whose root is x for a _Node object # with the given key. If found, return True; otherwise return # False. def _contains(self, x, key): if x is None: return False if key < x.key: return self._contains(x.left, key) if x.key < key: return self._contains(x.right, key) return True # Return True if key is in self, and False otherwise. def __contains__(self, key): return self._contains(self._root, key) #------------------------------------------------------------------- # Populate list a with all keys in the subtree of self whose # root is x. def _inorder(self, x, a): if x is None: return self._inorder(x.left, a) a += [x.key] self._inorder(x.right, a) # Return an iterator for SymTable object self. def __iter__(self): a = [] self._inorder(self._root, a) return iter(a) #----------------------------------------------------------------------- # A _Node object references a key, a value, and left and right # children _Node objects. An OrderedSymTable object is composed of # _Node objects. class _Node: def __init__(self, key, val): self.key = key # Reference to key self.val = val # Reference to value self.left = None # Reference to left child _Node object self.right = None # Reference to right child _Node object #----------------------------------------------------------------------- # For testing. def main(): import stdio # Test the constructor. st = OrderedSymbolTable() # Test __setitem__(): st['Sedgewick'] = 'Bob' st['Wayne'] = 'Kevin' st['Dondero'] = 'Bob' # Test __getitem__(): stdio.writeln(st['Sedgewick']) stdio.writeln(st['Wayne']) stdio.writeln(st['Dondero']) # Test __contains__(): if 'Dondero' in st: stdio.writeln('Dondero found') else: stdio.writeln('Dondero not found') if 'Kernighan' in st: stdio.writeln('Kernighan found') else: stdio.writeln('Kernighan not found') # Test iteration: for key in st: stdio.writeln(key + ': ' + st[key]) if __name__ == '__main__': main() #----------------------------------------------------------------------- # python bst.py # Bob # Kevin # Bob # Dondero found # Kernighan not found # Dondero: Bob # Sedgewick: Bob # Wayne: Kevin