示例#1
0
 def _post_order(self, node):
     """
     Utility method for computing post-order
     of a binary tree using iterative algorithm.
     """
     visit = []
     tree, size = self.tree.tree, self.tree.size
     s = Stack()
     s.push(node)
     last = OneDimensionalArray(int, size)
     last.fill(False)
     while not s.is_empty:
         node = s.peek
         l, r = tree[node].left, tree[node].right
         cl, cr = l is None or last[l], r is None or last[r]
         if cl and cr:
             s.pop()
             visit.append(tree[node])
             last[node] = True
             continue
         if not cr:
             s.push(r)
         if not cl:
             s.push(l)
     return visit
示例#2
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 def __new__(cls, *vertices):
     obj = object.__new__(cls)
     num_vertices = len(vertices)
     obj.vertices = [vertex.name for vertex in vertices]
     for vertex in vertices:
         obj.__setattr__(str(vertex.name), vertex)
     obj.matrix = OneDimensionalArray(OneDimensionalArray, num_vertices)
     for i in range(num_vertices):
         obj.matrix[i] = OneDimensionalArray(bool, num_vertices)
         obj.matrix[i].fill(False)
     obj.edge_weights = dict()
     return obj
 def __new__(cls, *vertices):
     obj = object.__new__(cls)
     num_vertices = len(vertices)
     obj.vertices = OneDimensionalArray(AdjacencyMatrixGraphNode,
                                        num_vertices)
     for vertex in vertices:
         obj.vertices[vertex.name] = vertex
     obj.matrix = OneDimensionalArray(OneDimensionalArray, num_vertices)
     for i in range(num_vertices):
         obj.matrix[i] = OneDimensionalArray(bool, num_vertices)
         obj.matrix[i].fill(False)
     return obj
示例#4
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    def __new__(cls, array):

        obj = object.__new__(cls)
        obj.array = OneDimensionalArray(type(array[0]), array)
        obj.tree = [0] * (obj.array._size + 2)
        obj.flag = [0] * (obj.array._size)
        for index in range(obj.array._size):
            obj.update(index, array[index])
        return obj
示例#5
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 def __new__(cls, maxsize=None, top=0, items=None, dtype=int):
     if not _check_type(maxsize, int):
         raise ValueError("maxsize is missing.")
     if not _check_type(top, int):
         raise TypeError("top is not of type int.")
     if items == None:
         items = OneDimensionalArray(dtype, maxsize)
     if not _check_type(items, OneDimensionalArray):
         raise ValueError("items is not of type, OneDimensionalArray")
     if items._size > maxsize:
         raise ValueError("Overflow, size of items %s is greater "
                          "than maxsize, %s" % (items._size, maxsize))
     obj = object.__new__(cls)
     obj.maxsize, obj.top, obj.items, obj.dtype = \
         maxsize, top, items, items._dtype
     return obj
示例#6
0
def test_Stack():

    s = Stack(maxsize=3, top=0)
    s.push(1)
    s.push(2)
    s.push(3)
    assert s.top == 3
    assert str(s) == '[1, 2, 3]'
    raises(ValueError, lambda: s.push(4))
    assert s.pop() == 3
    assert s.pop() == 2
    assert s.pop() == 1
    assert s.top == 0
    raises(ValueError, lambda: s.pop())
    raises(ValueError, lambda: Stack())
    raises(TypeError, lambda: Stack(maxsize=8, top=3.5))
    raises(ValueError, lambda: Stack(maxsize=5, top=0, items=[1, 2, 3]))
    raises(ValueError,
           lambda: Stack(maxsize=5, top=0, items=OneDimensionalArray(int, 6)))
    raises(NotImplementedError,
           lambda: Stack(implementation='', maxsize=5, top=0))