1.3节翻译完成
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cookbook/c01/p03_nitem.py
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27
cookbook/c01/p03_nitem.py
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#!/usr/bin/env python
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# -*- encoding: utf-8 -*-
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"""
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Topic: collections.deque演示
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Desc : deque有一个maxlen参数,当append的时候,如果超过,那么最前面的就被挤出队列。
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"""
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from collections import deque
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def search(lines, pattern, history=5):
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previous_lines = deque(maxlen=history)
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for li in lines:
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if pattern in li:
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yield li, previous_lines
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previous_lines.append(li)
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# Example use on a file
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if __name__ == '__main__':
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with open(r'../../cookbook/somefile.txt') as f:
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for line, prevlines in search(f, 'Python', 5):
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for pline in prevlines:
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print(pline, end='')
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print(line, end='')
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print('-' * 20)
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19
cookbook/somefile.txt
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cookbook/somefile.txt
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Python is powerful... and fast;
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plays well with others;
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runs everywhere;
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is friendly & easy to learn;
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is Open.
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These are some of the reasons people who use Python would rather not use anything else.
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Python can be easy to pick up whether you're a first time programmer
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or you're experienced with other languages.
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The following pages are a useful first step to get on your way
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writing programs with Python!
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The community hosts conferences and meetups, collaborates on code,
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and much more. Python's documentation will help you along the way,
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and the mailing lists will keep you in touch.
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Conferences and Workshops
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Python Documentation
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Mailing Lists and IRC channels
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----------
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----------
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问题
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问题
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----------
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todo...
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在迭代操作或者其他操作的时候,你只想保留最后有限几个元素的历史记录。
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----------
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解决方案
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解决方案
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----------
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todo...
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保留有限历史记录正是collections.deque大显身手的时候。比如,下面的代码在多行上面做简单的文本匹配,
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并只返回在前N行中匹配成功的行:
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.. code-block:: python
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from collections import deque
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def search(lines, pattern, history=5):
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previous_lines = deque(maxlen=history)
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for li in lines:
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if pattern in li:
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yield li, previous_lines
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previous_lines.append(line)
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# Example use on a file
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if __name__ == '__main__':
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with open(r'../../cookbook/somefile.txt') as f:
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for line, prevlines in search(f, 'Python', 5):
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for pline in prevlines:
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print(pline, end='')
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print(line, end='')
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print('-' * 20)
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----------
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----------
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讨论
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讨论
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----------
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todo...
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我们在写查询元素的代码的时候,通常会使用包含yield表达式的生成器函数,也就是我们上面示例代码中的那样。
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这样可以将搜索过程代码和使用搜索结果代码解耦。如果你还不清楚什么是生成器,请参看4.3节。
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Using deque(maxlen=N) creates a fixed-sized queue. When new items are added and
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the queue is full, the oldest item is automatically removed. For example:
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使用deque(maxlen=N)构造函数会新建一个固定大小的队列。当心的元素加入并且这个队列已满的时候,
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最老的元素会自动被移除掉。
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代码示例:
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.. code-block:: python
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>>> q = deque(maxlen=3)
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>>> q.append(1)
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>>> q.append(2)
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>>> q.append(3)
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>>> q
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deque([1, 2, 3], maxlen=3)
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>>> q.append(4)
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>>> q
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deque([2, 3, 4], maxlen=3)
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>>> q.append(5)
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>>> q
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deque([3, 4, 5], maxlen=3)
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尽管你也可以手动在一个列表上实现这一的操作(比如增加、删除等等)。
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但是这里的队列方案会更加优雅并且运行得更快些。
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更一般的,deque类可以被用在任何你只需要一个简单队列数据结构的场合。
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如果你不设置最大队列大小,那么就会得到一个无限大小队列,你可以在队列的两端执行添加和弹出元素的操作。
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代码示例:
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.. code-block:: python
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>>> q = deque()
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>>> q.append(1)
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>>> q.append(2)
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>>> q.append(3)
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>>> q
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deque([1, 2, 3])
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>>> q.appendleft(4)
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>>> q
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deque([4, 1, 2, 3])
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>>> q.pop()
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3
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>>> q
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deque([4, 1, 2])
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>>> q.popleft()
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4
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在队列两端添加或删除元素时间复杂度都是O(1),而在list的开头插入或删除元素的时间复杂度为O(N)。
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