Format python codes with black. (#453)

This commit is contained in:
Yudong Jin
2023-04-09 05:05:35 +08:00
committed by GitHub
parent 1c8b7ef559
commit 5ddcb60825
45 changed files with 656 additions and 456 deletions

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@ -4,35 +4,37 @@ Created Time: 2023-03-01
Author: Krahets (krahets@163.com)
"""
class ArrayDeque:
""" 基于环形数组实现的双向队列 """
"""基于环形数组实现的双向队列"""
def __init__(self, capacity: int) -> None:
""" 构造方法 """
"""构造方法"""
self.__nums: list[int] = [0] * capacity
self.__front: int = 0
self.__size: int = 0
def capacity(self) -> int:
""" 获取双向队列的容量 """
"""获取双向队列的容量"""
return len(self.__nums)
def size(self) -> int:
""" 获取双向队列的长度 """
"""获取双向队列的长度"""
return self.__size
def is_empty(self) -> bool:
""" 判断双向队列是否为空 """
"""判断双向队列是否为空"""
return self.__size == 0
def index(self, i: int) -> int:
""" 计算环形数组索引 """
"""计算环形数组索引"""
# 通过取余操作实现数组首尾相连
# 当 i 越过数组尾部后,回到头部
# 当 i 越过数组头部后,回到尾部
return (i + self.capacity()) % self.capacity()
def push_first(self, num: int) -> None:
""" 队首入队 """
"""队首入队"""
if self.__size == self.capacity():
print("双向队列已满")
return
@ -44,7 +46,7 @@ class ArrayDeque:
self.__size += 1
def push_last(self, num: int) -> None:
""" 队尾入队 """
"""队尾入队"""
if self.__size == self.capacity():
print("双向队列已满")
return
@ -55,7 +57,7 @@ class ArrayDeque:
self.__size += 1
def pop_first(self) -> int:
""" 队首出队 """
"""队首出队"""
num = self.peek_first()
# 队首指针向后移动一位
self.__front = self.index(self.__front + 1)
@ -63,25 +65,25 @@ class ArrayDeque:
return num
def pop_last(self) -> int:
""" 队尾出队 """
"""队尾出队"""
num = self.peek_last()
self.__size -= 1
return num
def peek_first(self) -> int:
""" 访问队首元素 """
"""访问队首元素"""
assert not self.is_empty(), "双向队列为空"
return self.__nums[self.__front]
def peek_last(self) -> int:
""" 访问队尾元素 """
"""访问队尾元素"""
assert not self.is_empty(), "双向队列为空"
# 计算尾元素索引
last = self.index(self.__front + self.__size - 1)
return self.__nums[last]
def to_array(self) -> list[int]:
""" 返回数组用于打印 """
"""返回数组用于打印"""
# 仅转换有效长度范围内的列表元素
res = []
for i in range(self.__size):
@ -91,35 +93,35 @@ class ArrayDeque:
""" Driver Code """
if __name__ == "__main__":
""" 初始化双向队列 """
# 初始化双向队列
deque = ArrayDeque(10)
deque.push_last(3)
deque.push_last(2)
deque.push_last(5)
print("双向队列 deque =", deque.to_array())
""" 访问元素 """
# 访问元素
peek_first: int = deque.peek_first()
print("队首元素 peek_first =", peek_first)
peek_last: int = deque.peek_last()
print("队尾元素 peek_last =", peek_last)
""" 元素入队 """
# 元素入队
deque.push_last(4)
print("元素 4 队尾入队后 deque =", deque.to_array())
deque.push_first(1)
print("元素 1 队首入队后 deque =", deque.to_array())
""" 元素出队 """
# 元素出队
pop_last: int = deque.pop_last()
print("队尾出队元素 =", pop_last, ",队尾出队后 deque =", deque.to_array())
pop_first: int = deque.pop_first()
print("队首出队元素 =", pop_first, ",队首出队后 deque =", deque.to_array())
""" 获取双向队列的长度 """
# 获取双向队列的长度
size: int = deque.size()
print("双向队列长度 size =", size)
""" 判断双向队列是否为空 """
# 判断双向队列是否为空
is_empty: bool = deque.is_empty()
print("双向队列是否为空 =", is_empty)

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@ -4,28 +4,30 @@ Created Time: 2022-12-01
Author: Peng Chen (pengchzn@gmail.com)
"""
class ArrayQueue:
""" 基于环形数组实现的队列 """
"""基于环形数组实现的队列"""
def __init__(self, size: int) -> None:
""" 构造方法 """
"""构造方法"""
self.__nums: list[int] = [0] * size # 用于存储队列元素的数组
self.__front: int = 0 # 队首指针,指向队首元素
self.__size: int = 0 # 队列长度
self.__front: int = 0 # 队首指针,指向队首元素
self.__size: int = 0 # 队列长度
def capacity(self) -> int:
""" 获取队列的容量 """
"""获取队列的容量"""
return len(self.__nums)
def size(self) -> int:
""" 获取队列的长度 """
"""获取队列的长度"""
return self.__size
def is_empty(self) -> bool:
""" 判断队列是否为空 """
"""判断队列是否为空"""
return self.__size == 0
def push(self, num: int) -> None:
""" 入队 """
"""入队"""
assert self.__size < self.capacity(), "队列已满"
# 计算尾指针,指向队尾索引 + 1
# 通过取余操作,实现 rear 越过数组尾部后回到头部
@ -35,7 +37,7 @@ class ArrayQueue:
self.__size += 1
def pop(self) -> int:
""" 出队 """
"""出队"""
num: int = self.peek()
# 队首指针向后移动一位,若越过尾部则返回到数组头部
self.__front = (self.__front + 1) % self.capacity()
@ -43,12 +45,12 @@ class ArrayQueue:
return num
def peek(self) -> int:
""" 访问队首元素 """
"""访问队首元素"""
assert not self.is_empty(), "队列为空"
return self.__nums[self.__front]
def to_list(self) -> list[int]:
""" 返回列表用于打印 """
"""返回列表用于打印"""
res: list[int] = [0] * self.size()
j: int = self.__front
for i in range(self.size()):
@ -59,10 +61,10 @@ class ArrayQueue:
""" Driver Code """
if __name__ == "__main__":
""" 初始化队列 """
# 初始化队列
queue = ArrayQueue(10)
""" 元素入队 """
# 元素入队
queue.push(1)
queue.push(3)
queue.push(2)
@ -70,24 +72,24 @@ if __name__ == "__main__":
queue.push(4)
print("队列 queue =", queue.to_list())
""" 访问队首元素 """
# 访问队首元素
peek: int = queue.peek()
print("队首元素 peek =", peek)
""" 元素出队 """
# 元素出队
pop: int = queue.pop()
print("出队元素 pop =", pop)
print("出队后 queue =", queue.to_list())
""" 获取队列的长度 """
# 获取队列的长度
size: int = queue.size()
print("队列长度 size =", size)
""" 判断队列是否为空 """
# 判断队列是否为空
is_empty: bool = queue.is_empty()
print("队列是否为空 =", is_empty)
""" 测试环形数组 """
# 测试环形数组
for i in range(10):
queue.push(i)
queue.pop()

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@ -4,45 +4,47 @@ Created Time: 2022-11-29
Author: Peng Chen (pengchzn@gmail.com)
"""
class ArrayStack:
""" 基于数组实现的栈 """
"""基于数组实现的栈"""
def __init__(self) -> None:
""" 构造方法 """
"""构造方法"""
self.__stack: list[int] = []
def size(self) -> int:
""" 获取栈的长度 """
"""获取栈的长度"""
return len(self.__stack)
def is_empty(self) -> bool:
""" 判断栈是否为空 """
"""判断栈是否为空"""
return self.__stack == []
def push(self, item: int) -> None:
""" 入栈 """
"""入栈"""
self.__stack.append(item)
def pop(self) -> int:
""" 出栈 """
"""出栈"""
assert not self.is_empty(), "栈为空"
return self.__stack.pop()
def peek(self) -> int:
""" 访问栈顶元素 """
"""访问栈顶元素"""
assert not self.is_empty(), "栈为空"
return self.__stack[-1]
def to_list(self) -> list[int]:
""" 返回列表用于打印 """
"""返回列表用于打印"""
return self.__stack
""" Driver Code """
if __name__ == "__main__":
""" 初始化栈 """
# 初始化栈
stack = ArrayStack()
""" 元素入栈 """
# 元素入栈
stack.push(1)
stack.push(3)
stack.push(2)
@ -50,19 +52,19 @@ if __name__ == "__main__":
stack.push(4)
print("栈 stack =", stack.to_list())
""" 访问栈顶元素 """
# 访问栈顶元素
peek: int = stack.peek()
print("栈顶元素 peek =", peek)
""" 元素出栈 """
# 元素出栈
pop: int = stack.pop()
print("出栈元素 pop =", pop)
print("出栈后 stack =", stack.to_list())
""" 获取栈的长度 """
# 获取栈的长度
size: int = stack.size()
print("栈的长度 size =", size)
""" 判断是否为空 """
# 判断是否为空
is_empty: bool = stack.is_empty()
print("栈是否为空 =", is_empty)

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@ -8,35 +8,35 @@ from collections import deque
""" Driver Code """
if __name__ == "__main__":
""" 初始化双向队列 """
# 初始化双向队列
deq: deque[int] = deque()
""" 元素入队 """
deq.append(2) # 添加至队尾
# 元素入队
deq.append(2) # 添加至队尾
deq.append(5)
deq.append(4)
deq.appendleft(3) # 添加至队首
deq.appendleft(1)
print("双向队列 deque =", deq)
""" 访问元素 """
# 访问元素
front: int = deq[0] # 队首元素
print("队首元素 front =", front)
rear: int = deq[-1] # 队尾元素
print("队尾元素 rear =", rear)
""" 元素出队 """
# 元素出队
pop_front: int = deq.popleft() # 队首元素出队
print("队首出队元素 pop_front =", pop_front)
print("队首出队后 deque =", deq)
pop_rear: int = deq.pop() # 队尾元素出队
pop_rear: int = deq.pop() # 队尾元素出队
print("队尾出队元素 pop_rear =", pop_rear)
print("队尾出队后 deque =", deq)
""" 获取双向队列的长度 """
# 获取双向队列的长度
size: int = len(deq)
print("双向队列长度 size =", size)
""" 判断双向队列是否为空 """
# 判断双向队列是否为空
is_empty: bool = len(deq) == 0
print("双向队列是否为空 =", is_empty)

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@ -4,32 +4,36 @@ Created Time: 2023-03-01
Author: Krahets (krahets@163.com)
"""
class ListNode:
""" 双向链表节点 """
"""双向链表节点"""
def __init__(self, val: int) -> None:
""" 构造方法 """
"""构造方法"""
self.val: int = val
self.next: ListNode | None = None # 后继节点引用(指针)
self.prev: ListNode | None = None # 前驱节点引用(指针)
class LinkedListDeque:
""" 基于双向链表实现的双向队列 """
"""基于双向链表实现的双向队列"""
def __init__(self) -> None:
""" 构造方法 """
self.front: ListNode | None = None # 头节点 front
"""构造方法"""
self.front: ListNode | None = None # 头节点 front
self.rear: ListNode | None = None # 尾节点 rear
self.__size: int = 0 # 双向队列的长度
self.__size: int = 0 # 双向队列的长度
def size(self) -> int:
""" 获取双向队列的长度 """
"""获取双向队列的长度"""
return self.__size
def is_empty(self) -> bool:
""" 判断双向队列是否为空 """
"""判断双向队列是否为空"""
return self.size() == 0
def push(self, num: int, is_front: bool) -> None:
""" 入队操作 """
"""入队操作"""
node = ListNode(num)
# 若链表为空,则令 front, rear 都指向 node
if self.is_empty():
@ -49,15 +53,15 @@ class LinkedListDeque:
self.__size += 1 # 更新队列长度
def push_first(self, num: int) -> None:
""" 队首入队 """
"""队首入队"""
self.push(num, True)
def push_last(self, num: int) -> None:
""" 队尾入队 """
"""队尾入队"""
self.push(num, False)
def pop(self, is_front: bool) -> int:
""" 出队操作 """
"""出队操作"""
# 若队列为空,直接返回 None
if self.is_empty():
return None
@ -83,23 +87,23 @@ class LinkedListDeque:
return val
def pop_first(self) -> int:
""" 队首出队 """
"""队首出队"""
return self.pop(True)
def pop_last(self) -> int:
""" 队尾出队 """
"""队尾出队"""
return self.pop(False)
def peek_first(self) -> int:
""" 访问队首元素 """
"""访问队首元素"""
return None if self.is_empty() else self.front.val
def peek_last(self) -> int:
""" 访问队尾元素 """
"""访问队尾元素"""
return None if self.is_empty() else self.rear.val
def to_array(self) -> list[int]:
""" 返回数组用于打印 """
"""返回数组用于打印"""
node: ListNode | None = self.front
res: list[int] = [0] * self.size()
for i in range(self.size()):
@ -110,35 +114,35 @@ class LinkedListDeque:
""" Driver Code """
if __name__ == "__main__":
""" 初始化双向队列 """
# 初始化双向队列
deque = LinkedListDeque()
deque.push_last(3)
deque.push_last(2)
deque.push_last(5)
print("双向队列 deque =", deque.to_array())
""" 访问元素 """
# 访问元素
peek_first: int = deque.peek_first()
print("队首元素 peek_first =", peek_first)
peek_last: int = deque.peek_last()
print("队尾元素 peek_last =", peek_last)
""" 元素入队 """
# 元素入队
deque.push_last(4)
print("元素 4 队尾入队后 deque =", deque.to_array())
deque.push_first(1)
print("元素 1 队首入队后 deque =", deque.to_array())
""" 元素出队 """
# 元素出队
pop_last: int = deque.pop_last()
print("队尾出队元素 =", pop_last, ",队尾出队后 deque =", deque.to_array())
pop_first: int = deque.pop_first()
print("队首出队元素 =", pop_first, ",队首出队后 deque =", deque.to_array())
""" 获取双向队列的长度 """
# 获取双向队列的长度
size: int = deque.size()
print("双向队列长度 size =", size)
""" 判断双向队列是否为空 """
# 判断双向队列是否为空
is_empty: bool = deque.is_empty()
print("双向队列是否为空 =", is_empty)

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@ -5,27 +5,30 @@ Author: Peng Chen (pengchzn@gmail.com)
"""
import sys, os.path as osp
sys.path.append(osp.dirname(osp.dirname(osp.abspath(__file__))))
from modules import *
class LinkedListQueue:
""" 基于链表实现的队列 """
"""基于链表实现的队列"""
def __init__(self):
""" 构造方法 """
"""构造方法"""
self.__front: ListNode | None = None # 头节点 front
self.__rear: ListNode | None = None # 尾节点 rear
self.__rear: ListNode | None = None # 尾节点 rear
self.__size: int = 0
def size(self) -> int:
""" 获取队列的长度 """
"""获取队列的长度"""
return self.__size
def is_empty(self) -> bool:
""" 判断队列是否为空 """
"""判断队列是否为空"""
return not self.__front
def push(self, num: int) -> None:
""" 入队 """
"""入队"""
# 尾节点后添加 num
node = ListNode(num)
# 如果队列为空,则令头、尾节点都指向该节点
@ -39,7 +42,7 @@ class LinkedListQueue:
self.__size += 1
def pop(self) -> int:
""" 出队 """
"""出队"""
num = self.peek()
# 删除头节点
self.__front = self.__front.next
@ -47,14 +50,14 @@ class LinkedListQueue:
return num
def peek(self) -> int:
""" 访问队首元素 """
"""访问队首元素"""
if self.size() == 0:
print("队列为空")
return False
return self.__front.val
def to_list(self) -> list[int]:
""" 转化为列表用于打印 """
"""转化为列表用于打印"""
queue = []
temp = self.__front
while temp:
@ -65,10 +68,10 @@ class LinkedListQueue:
""" Driver Code """
if __name__ == "__main__":
""" 初始化队列 """
# 初始化队列
queue = LinkedListQueue()
""" 元素入队 """
# 元素入队
queue.push(1)
queue.push(3)
queue.push(2)
@ -76,19 +79,19 @@ if __name__ == "__main__":
queue.push(4)
print("队列 queue =", queue.to_list())
""" 访问队首元素 """
# 访问队首元素
peek: int = queue.peek()
print("队首元素 front =", peek)
""" 元素出队 """
# 元素出队
pop_front: int = queue.pop()
print("出队元素 pop =", pop_front)
print("出队后 queue =", queue.to_list())
""" 获取队列的长度 """
# 获取队列的长度
size: int = queue.size()
print("队列长度 size =", size)
""" 判断队列是否为空 """
# 判断队列是否为空
is_empty: bool = queue.is_empty()
print("队列是否为空 =", is_empty)

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@ -5,46 +5,50 @@ Author: Peng Chen (pengchzn@gmail.com)
"""
import sys, os.path as osp
sys.path.append(osp.dirname(osp.dirname(osp.abspath(__file__))))
from modules import *
class LinkedListStack:
""" 基于链表实现的栈 """
"""基于链表实现的栈"""
def __init__(self):
""" 构造方法 """
"""构造方法"""
self.__peek: ListNode | None = None
self.__size: int = 0
def size(self) -> int:
""" 获取栈的长度 """
"""获取栈的长度"""
return self.__size
def is_empty(self) -> bool:
""" 判断栈是否为空 """
"""判断栈是否为空"""
return not self.__peek
def push(self, val: int) -> None:
""" 入栈 """
"""入栈"""
node = ListNode(val)
node.next = self.__peek
self.__peek = node
self.__size += 1
def pop(self) -> int:
""" 出栈 """
"""出栈"""
num: int = self.peek()
self.__peek = self.__peek.next
self.__size -= 1
return num
def peek(self) -> int:
""" 访问栈顶元素 """
"""访问栈顶元素"""
# 判空处理
if not self.__peek: return None
if not self.__peek:
return None
return self.__peek.val
def to_list(self) -> list[int]:
""" 转化为列表用于打印 """
"""转化为列表用于打印"""
arr: list[int] = []
node = self.__peek
while node:
@ -56,10 +60,10 @@ class LinkedListStack:
""" Driver Code """
if __name__ == "__main__":
""" 初始化栈 """
# 初始化栈
stack = LinkedListStack()
""" 元素入栈 """
# 元素入栈
stack.push(1)
stack.push(3)
stack.push(2)
@ -67,19 +71,19 @@ if __name__ == "__main__":
stack.push(4)
print("栈 stack =", stack.to_list())
""" 访问栈顶元素 """
# 访问栈顶元素
peek: int = stack.peek()
print("栈顶元素 peek =", peek)
""" 元素出栈 """
# 元素出栈
pop: int = stack.pop()
print("出栈元素 pop =", pop)
print("出栈后 stack =", stack.to_list())
""" 获取栈的长度 """
# 获取栈的长度
size: int = stack.size()
print("栈的长度 size =", size)
""" 判断是否为空 """
# 判断是否为空
is_empty: bool = stack.is_empty()
print("栈是否为空 =", is_empty)

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@ -8,13 +8,12 @@ from collections import deque
""" Driver Code """
if __name__ == "__main__":
""" 初始化队列 """
# 初始化队列
# 在 Python 中,我们一般将双向队列类 deque 看作队列使用
# 虽然 queue.Queue() 是纯正的队列类,但不太好用
que: deque[int] = deque()
""" 元素入队 """
# 元素入队
que.append(1)
que.append(3)
que.append(2)
@ -22,19 +21,19 @@ if __name__ == "__main__":
que.append(4)
print("队列 que =", que)
""" 访问队首元素 """
# 访问队首元素
front: int = que[0]
print("队首元素 front =", front)
""" 元素出队 """
# 元素出队
pop: int = que.popleft()
print("出队元素 pop =", pop)
print("出队后 que =", que)
""" 获取队列的长度 """
# 获取队列的长度
size: int = len(que)
print("队列长度 size =", size)
""" 判断队列是否为空 """
# 判断队列是否为空
is_empty: bool = len(que) == 0
print("队列是否为空 =", is_empty)

View File

@ -6,11 +6,11 @@ Author: Peng Chen (pengchzn@gmail.com)
""" Driver Code """
if __name__ == "__main__":
""" 初始化栈 """
# Python 没有内置的栈类,可以把 list 当作栈来使用
# 初始化栈
# Python 没有内置的栈类,可以把 list 当作栈来使用
stack: list[int] = []
""" 元素入栈 """
# 元素入栈
stack.append(1)
stack.append(3)
stack.append(2)
@ -18,19 +18,19 @@ if __name__ == "__main__":
stack.append(4)
print("栈 stack =", stack)
""" 访问栈顶元素 """
# 访问栈顶元素
peek: int = stack[-1]
print("栈顶元素 peek =", peek)
""" 元素出栈 """
# 元素出栈
pop: int = stack.pop()
print("出栈元素 pop =", pop)
print("出栈后 stack =", stack)
""" 获取栈的长度 """
# 获取栈的长度
size: int = len(stack)
print("栈的长度 size =", size)
""" 判断是否为空 """
# 判断是否为空
is_empty: bool = len(stack) == 0
print("栈是否为空 =", is_empty)