[Python]스택,큐 공부
Stack
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가장 나중에 넣은 데이터를 가장 먼저 꺼낸다는 LIFO(Last in First out) 방식
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스택에 데이터를 넣는 작업:
push
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스택에서 데이터를 꺼내는 작업:
pop
배열로 Stack 구현하기
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스택 배열:
stk
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스택 크기:
capacity
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스택 포인터:
ptr
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from typing import Any
class FixedStack:
class Empty(Exception):
pass
class Full(Exception):
pass
def __init__(self,capacity: int = 256) -> None:
self.capacity = capacity
self.stk = [None] * self.capacity
self.ptr = 0
def __len__(self) -> int:
return self.ptr
def is_empty(self) -> None:
return self.ptr <= 0
def is_full(self) -> None:
return self.ptr >= self.capacity
def push(self,value: Any) -> None:
if self.is_full:
raise FixedStack.Full
self.stk[self.ptr] = value
self.ptr += 1
def pop(self) -> Any:
if self.is_empty:
raise FixedStack.Empty
self.ptr -= 1
return self.stk[self.ptr]
def peek(self) -> Any:
if self.is_empty:
raise FixedStack.Empty
return self.stk[self.ptr - 1]
def clear(self) -> None:
self.ptr = 0
def find(self,value: Any) -> Any:
for i in range(self.ptr-1, -1, -1):
if self.stk[i] == value:
return i
return -1
def count(self,value: Any) -> int:
count = 0
for i in range(self.ptr):
if self.stk[i] == value:
count += 1
return count
def __contains__(self,value: Any) -> bool:
return self.count(value) >= 0
def dump(self) -> None:
if self.is_empty():
print('stack is empty')
else:
print(self.stk[:self.ptr])
collections.deque로 Stack 구현하기
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from typing import Any
from collections import deque
class Stack:
def __init__(self,maxlen: int = 256) -> None:
self.capacity = maxlen
self.__stk = deque([],self.capacity)
def __len__(self) -> int:
return len(self.__stk)
def is_empty(self) -> bool:
return not self.__stk
def is_full(self) -> bool:
return len(self.__stk) == self.__stk.maxlen
def push(self,value: Any) -> None:
self.__stk.append(value)
def pop(self) -> Any:
self.__stk.pop()
def peek(self) -> Any:
self.__stk[-1]
def claer(self) -> None:
self.__stk.clear()
def find(self,value: Any) -> Any:
try:
return self.__stk.index(value)
except ValueError:
return -1
def count(self,value: Any) -> int:
return self.__stk.count(value)
def __contains__(self,value: Any) -> bool:
return self.count(value)
def dump(self) -> None:
print(list(self.__stk))
Queue
-
가장 먼저 넣은 데이터를 먼저 꺼내는 FIFO(First in First out) 방식
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큐에 데이터를 추가하는 작업:
enqueue
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큐에서 데이터를 꺼내는 작업:
dequeue
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데이터를 꺼내는 쪽(맨 앞의 원소를 가리킴):
front
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데이터를 넣는 쪽(맨 끝의 원소를 가리킴):
rear
배열로 Queue 구현하기
- 링 버퍼를 사용하여 구현
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from typing import Any
class FixedQueue:
class Empty(Exception):
pass
class Full(Exception):
pass
def __init__(self,capacity: int) -> None:
self.capacity = capacity
self.no = 0
self.front = 0
self.rear = 0
self.que = [None] * self.capacity
def __len__(self) -> int:
return self.no
def is_empty(self) -> bool:
return self.no <= 0
def is_full(self) -> bool:
return self.no >= self.capacity
def enque(self,value: Any) -> None:
if self.is_full():
raise FixedQueue.FUll
self.que[self.rear] = value
self.no += 1
self.rear += 1
if self.rear == self.capacity:
self.rear = 0
def deque(self) -> Any:
if self.is_empty():
raise FixedQueue.Empty
temp = self.que[self.front]
self.front += 1
self.no -= 1
if self.front == self.capacity:
self.front = 0
return temp
def peek(self) -> Any:
if self.is_empty():
raise FixedStack.Empty
return self.que[self.front]
def find(self,value: Any) -> Any:
for i in range(self.no):
idx = (i + self.front) & self.capacity
if self.que[idx] == value:
return idx
return -1
def count(self,value: Any) -> int:
count = 0
for i in range(self.no):
idx = (i + self.front) & self.capacity
if self.que[idx] == value:
count += 1
return count
def __contains__(self,value: Any) -> bool:
return self.count(value)
def clear(self) -> None:
self.no = self.front = self.rear = 0
def dump(self) -> None:
if self.is_empty():
raise FixedQueue.Empty
else:
for i in range(self.no):
print(self.que[(i + self.front & self.capacity)], end ='')
print()
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