在Python中,如果你想在矩阵中生成具有相同值的链表,你可以使用深度优先搜索(DFS)或广度优先搜索(BFS)算法来遍历矩阵,并将具有相同值的相邻元素连接起来形成链表。以下是一个使用DFS的示例:
class ListNode:
def __init__(self, val=0, next=None):
self.val = val
self.next = next
def create_linked_list(matrix, value):
if not matrix or not matrix[0]:
return None
rows, cols = len(matrix), len(matrix[0])
visited = [[False] * cols for _ in range(rows)]
head = None
tail = None
def dfs(x, y):
nonlocal head, tail
if x < 0 or x >= rows or y < 0 or y >= cols or visited[x][y] or matrix[x][y] != value:
return
visited[x][y] = True
node = ListNode(matrix[x][y])
if not head:
head = node
tail = node
else:
tail.next = node
tail = node
dfs(x + 1, y)
dfs(x - 1, y)
dfs(x, y + 1)
dfs(x, y - 1)
for i in range(rows):
for j in range(cols):
if matrix[i][j] == value and not visited[i][j]:
dfs(i, j)
return head
def print_linked_list(head):
while head:
print(head.val, end=" -> ")
head = head.next
print("None")
# 示例矩阵
matrix = [
[1, 2, 2, 3],
[4, 5, 5, 6],
[7, 8, 8, 9]
]
# 生成值为2的链表
linked_list = create_linked_list(matrix, 2)
print_linked_list(linked_list) # 输出: 2 -> 2 -> None
# 生成值为5的链表
linked_list = create_linked_list(matrix, 5)
print_linked_list(linked_list) # 输出: 5 -> 5 -> None
通过上述代码和解释,你应该能够在Python中实现矩阵中相同值的链表生成,并理解其基础概念和相关应用。
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