Python實現棧的方法詳解【基於陣列和單鏈表兩種方法】
阿新 • • 發佈:2020-02-24
本文例項講述了Python實現棧的方法。分享給大家供大家參考,具體如下:
前言
使用Python 實現棧。
兩種實現方式:
- 基於陣列 - 陣列同時基於連結串列實現
- 基於單鏈表 - 單鏈表的節點時一個例項化的node 物件
完整程式碼可見GitHub:
https://github.com/GYT0313/Python-DataStructure/tree/master/5-stack
目錄結構:
注:一個完整的程式碼並不是使用一個py檔案,而使用了多個檔案通過繼承方式實現。
1. 超類介面程式碼
arraycollection.py
""" File: abstractcollection.py Author: Ken Lambert """ class AbstractCollection(object): """An abstract collection implementation.""" # Constructor def __init__(self,sourceCollection = None): """Sets the initial state of self,which includes the contents of sourceCollection,if it's present.""" self._size = 0 if sourceCollection: for item in sourceCollection: self.add(item) # Accessor methods def isEmpty(self): """Returns True if len(self) == 0,or False otherwise.""" return len(self) == 0 def __len__(self): """Returns the number of items in self.""" return self._size def __str__(self): """Returns the string representation of self.""" return "[" + ",".join(map(str,self)) + "]" def __add__(self,other): """Returns a new bag containing the contents of self and other.""" result = type(self)(self) for item in other: result.add(item) return result def __eq__(self,other): """Returns True if self equals other,or False otherwise.""" if self is other: return True if type(self) != type(other) or \ len(self) != len(other): return False otherIter = iter(other) for item in self: if item != next(otherIter): return False return True
abstractstack.py
""" File: abstractstack.py Author: Ken Lambert """ from abstractcollection import AbstractCollection class AbstractStack(AbstractCollection): """An abstract stack implementation.""" # Constructor def __init__(self,if it's present.""" AbstractCollection.__init__(self,sourceCollection) # Mutator methods def add(self,item): """Adds item to self.""" self.push(item)
2. 基於陣列
執行示例:
程式碼:
棧實現:arraystack.py
""" File: abstractstack.py Author: Ken Lambert """ from abstractcollection import AbstractCollection class AbstractStack(AbstractCollection): """An abstract stack implementation.""" # Constructor def __init__(self,item): """Adds item to self.""" self.push(item)
陣列實現:arrays.py
""" File: arrays.py An Array is a restricted list whose clients can use only [],len,iter,and str. To instantiate,use <variable> = array(<capacity>,<optional fill value>) The fill value is None by default. """ class Array(object): """Represents an array.""" def __init__(self,capacity,fillValue = None): """Capacity is the static size of the array. fillValue is placed at each position.""" self._items = list() for count in range(capacity): self._items.append(fillValue) def __len__(self): """-> The capacity of the array.""" return len(self._items) def __str__(self): """-> The string representation of the array.""" return str(self._items) def __iter__(self): """Supports iteration over a view of an array.""" return iter(self._items) def __getitem__(self,index): """Subscript operator for access at index.""" return self._items[index] def __setitem__(self,index,newItem): """Subscript operator for replacement at index.""" self._items[index] = newItem
3. 基於連結串列
執行示例:
程式碼:
linkedstack.py
""" linkedstack.py """ from node import Node from abstractstack import AbstractStack class LinkedStack(AbstractStack): """基於單鏈表實現棧-連結串列頭部為棧頂""" def __init__(self,source_collection=None): self._items = None AbstractStack.__init__(self,source_collection) def __iter__(self): """迭代-使用一個列表實現,列表第一項為單鏈表的最後一項""" def visit_nodes(node): if node != None: visit_nodes(node.next) temp_list.append(node.data) temp_list = [] visit_nodes(self._items) return iter(temp_list) def peek(self): """返回棧頂元素""" self._prior_condition() return self._items.data def clear(self): """清空列表""" self._size = 0 self._items = None def push(self,item): """入棧""" self._items = Node(item,self._items) self._size += 1 def pop(self): """出棧""" self._prior_condition() old_item = self._items.data self._items = self._items.next self._size -= 1 return old_item def _prior_condition(self): if self._size == 0: raise KeyError("The stack is empty.")
node.py
""" 連結串列結構的節點類 """ class Node(object): def __init__(self,data,next=None): self.data = data self.next = next
參考:《資料結構(Python語言描述)》
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希望本文所述對大家Python程式設計有所幫助。