题型:单选题
下面代码实现了哈夫曼编码,则横线处应填写的代码是( )。
class Symbol:
def __init__(self, ch='', freq=0, code=''):
self.ch = ch
self.freq = freq
self.code = code
class Node:
def __init__(self, w=0, l=-1, r=-1, sym=-1):
self.w = w
self.l = l
self.r = r
self.sym = sym
def pop_min_node(nodes, leaf_idx, n, pA, internal_idx, pB):
if pA[0] < n and (pB[0] >= len(internal_idx) or nodes[leaf_idx[pA[0]]].w <= nodes[internal_idx[pB[0]]].w):
res = leaf_idx[pA[0]]
pA[0] += 1
return res
else:
res = internal_idx[pB[0]]
pB[0] += 1
return res
def dfs_build_codes(u, nodes, sym_list, path):
if u == -1:
return
if nodes[u].sym != -1:
sym_list[nodes[u].sym].code = ''.join(path)
return
path.append('0')
dfs_build_codes(nodes[u].l, nodes, sym_list, path)
path.pop()
path.append('1')
dfs_build_codes(nodes[u].r, nodes, sym_list, path)
path.pop()
def build_huffman_codes(sym_list):
n = len(sym_list)
for sym in sym_list:
sym.code = ''
if n <= 0:
return -1
if n == 1:
sym_list[0].code = '0'
return 0
nodes = []
leaf_idx = []
for i in range(n):
leaf_idx.append(len(nodes))
nodes.append(Node(sym_list[i].freq, -1, -1, i))
leaf_idx.sort(key=lambda x: (nodes[x].w, nodes[x].sym))
internal_idx = []
pA = [0]
pB = [0]
for k in range(1, n):
x = pop_min_node(nodes, leaf_idx, n, pA, internal_idx, pB)
y = pop_min_node(nodes, leaf_idx, n, pA, internal_idx, pB)
z = len(nodes)
# 补全缺失的构建内部节点代码(原代码空白处)
nodes.append(Node(w=nodes[x].w + nodes[y].w, l=x, r=y, sym=-1))
internal_idx.append(z)
root = internal_idx[-1] if internal_idx else -1
path = []
dfs_build_codes(root, nodes, sym_list, path)
return root
if __name__ == "__main__":
syms = [
Symbol('A', 5),
Symbol('B', 9),
Symbol('C', 12),
Symbol('D', 13),
Symbol('E', 16),
Symbol('F', 45)
]
root = build_huffman_codes(syms)
print(f"哈夫曼树根节点下标:{root}")
for sym in syms:
print(f"字符 '{sym.ch}' (频率 {sym.freq}):编码 {sym.code}") A.nodes.append(Node(nodes[x].w + nodes[y].w, x, y, -1)) internal_idx.append(z) |
B.nodes.append(Node(nodes[x].w + nodes[y].w, x, y, 1)) internal_idx.append(z) |
C.nodes.append(Node(nodes[x-1].w + nodes[y].w, x, y, 1)) internal_idx.append(z) |
D.nodes.append(Node(nodes[x+1].w + nodes[y].w, x, y, 1)) internal_idx.append(z) |
更新时间:2026-07-18 20:41:04
|
【知识点】
CCF—GESP Python六级
抱歉! 您未登录, 不能查看答案和解析点击登录
相似题推荐
单选题
给定一棵二叉树,采用广度优先搜索(BFS) 算法,返回右视图所有节点的值。其中右视图定义为:二叉树的右视图是从树的右侧看过去时可见的节点集合,即右视图中的每个节点都是某一层中最右侧的节点。
class TreeNode:
def __init__(self, x):
self.val = x
self.left = None
self.right = None
def rightSideView(root):
rightmost_value_at_depth = {}
max_depth = -1
node_queue = []
depth_queue = []
node_queue.append(root)
depth_queue.append(0)
while node_queue:
node = node_queue.pop(0)
depth = depth_queue.pop(0)
if node is not None:
max_depth = max(max_depth, depth)
rightmost_value_at_depth[depth] = node.val
node_queue.append(node.left)
node_queue.append(node.right)
# (1) 填空处
depth_queue.append(depth + 1)
depth_queue.append(depth + 1)
right_view = []
# (2) 填空处
for depth in range(max_depth + 1):
right_view.append(rightmost_value_at_depth[depth])
return right_view
if __name__ == "__main__":
root = TreeNode(1)
root.left = TreeNode(2)
root.right = TreeNode(3)
root.left.right = TreeNode(5)
root.right.right = TreeNode(4)
print(rightSideView(root))| A. (1)depth , depth ;(2)0 , max_depth |
B. (1)depth + 1 , depth + 1 ;(2)0 , max_depth + 1 |
| C. (1)depth + 1 , depth + 1 ;(2)1 , max_depth + 1 |
D. (1)depth , depth ;(2)1 , max_depth |
2026-09-18
单选题
游乐园的过山车每次限坐4 人,用循环队列管理排队(容量MAX=5,空一格判满)。下面代码执行后,循环队列是否已满?rear 的值是多少?
MAX = 5
queue = [None] * MAX
front = 0
rear = 0
def enqueue(x):
global rear, queue
queue[rear] = x
rear = (rear + 1) % MAX
def dequeue():
global front
front = (front + 1) % MAX
if __name__ == "__main__":
enqueue(1)
enqueue(2)
enqueue(3)
enqueue(4)
dequeue()
dequeue()
enqueue(5)
enqueue(6)
print("队列数组: ", queue)
print("front下标位置: ", front)
print("rear下标位置: ", rear)| A. 已满,rear = 1 |
B. 未满,rear = 1 |
| C. 已满,rear = 2 |
D. 未满,rear = 4 |
2026-09-18
判断题
设二叉树共有n个结点,函数 preorderTraversal 的时间复杂度为O(n),空间复杂度为O(n)。
class TreeNode:
def __init__(self, x):
self.val = x
self.left = None
self.right = None
def preorder(root, res):
if root is None:
return
res.append(root.val)
preorder(root.left, res)
preorder(root.right, res)
def preorderTraversal(root):
res = []
preorder(root, res)
return res
if __name__ == "__main__":
root = TreeNode(1)
root.right = TreeNode(2)
root.right.left = TreeNode(3)
result = preorderTraversal(root)
print("前序遍历结果: ", result) | A.正确 | B.错误 |
2026-09-18
单选题
在二叉搜索树(BST)中,若中序遍历的序列为{1, 2, 3, 4, 5},且先序遍历的第一个序列元素为3,则下列说法正确的是()。
| A. 该树一定是一棵完全二叉树。 |
B. 元素4和5不可能是兄弟节点。 |
| C. 元素1所在节点的深度可能大于3(根节点深度为1)。 |
D. 元素2一定是元素1的父节点。 |
2026-09-18
