Mercurial > genshi > genshi-test
annotate genshi/util.py @ 274:c5ec3146fcb6
Use an LRU cache for caching parsed templates in the `TemplateLoader`. LRU cache implementation is a simplified version of the `LRUCache` class in [http://www.myghty.org/ Myghty].
author | cmlenz |
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date | Sun, 01 Oct 2006 15:33:02 +0000 |
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children | c5684b65c9b7 |
rev | line source |
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274
c5ec3146fcb6
Use an LRU cache for caching parsed templates in the `TemplateLoader`. LRU cache implementation is a simplified version of the `LRUCache` class in [http://www.myghty.org/ Myghty].
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1 # -*- coding: utf-8 -*- |
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Use an LRU cache for caching parsed templates in the `TemplateLoader`. LRU cache implementation is a simplified version of the `LRUCache` class in [http://www.myghty.org/ Myghty].
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2 # |
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Use an LRU cache for caching parsed templates in the `TemplateLoader`. LRU cache implementation is a simplified version of the `LRUCache` class in [http://www.myghty.org/ Myghty].
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3 # Copyright (C) 2006 Edgewall Software |
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4 # All rights reserved. |
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5 # |
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6 # This software is licensed as described in the file COPYING, which |
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Use an LRU cache for caching parsed templates in the `TemplateLoader`. LRU cache implementation is a simplified version of the `LRUCache` class in [http://www.myghty.org/ Myghty].
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7 # you should have received as part of this distribution. The terms |
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Use an LRU cache for caching parsed templates in the `TemplateLoader`. LRU cache implementation is a simplified version of the `LRUCache` class in [http://www.myghty.org/ Myghty].
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8 # are also available at http://genshi.edgewall.org/wiki/License. |
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9 # |
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10 # This software consists of voluntary contributions made by many |
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11 # individuals. For the exact contribution history, see the revision |
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12 # history and logs, available at http://genshi.edgewall.org/log/. |
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Use an LRU cache for caching parsed templates in the `TemplateLoader`. LRU cache implementation is a simplified version of the `LRUCache` class in [http://www.myghty.org/ Myghty].
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13 |
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14 """Various utility classes and functions.""" |
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15 |
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16 |
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17 class LRUCache(dict): |
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18 """A dictionary-like object that stores only a certain number of items, and |
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19 discards its least recently used item when full. |
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20 |
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21 >>> cache = LRUCache(3) |
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22 >>> cache['A'] = 0 |
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23 >>> cache['B'] = 1 |
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24 >>> cache['C'] = 2 |
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25 >>> len(cache) |
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26 3 |
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27 |
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28 >>> cache['A'] |
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29 0 |
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30 |
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31 Adding new items to the cache does not increase its size. Instead, the least |
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32 recently used item is dropped: |
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33 |
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34 >>> cache['D'] = 3 |
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35 >>> len(cache) |
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36 3 |
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37 >>> 'B' in cache |
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38 False |
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39 |
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40 Iterating over the cache returns the keys, starting with the most recently |
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41 used: |
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42 |
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43 >>> for key in cache: |
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44 ... print key |
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45 D |
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46 A |
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47 C |
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48 |
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49 This code is based on the LRUCache class from ``myghtyutils.util``, written |
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50 by Mike Bayer and released under the MIT license. See: |
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51 |
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52 http://svn.myghty.org/myghtyutils/trunk/lib/myghtyutils/util.py |
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53 """ |
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54 |
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55 class _Item(object): |
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56 def __init__(self, key, value): |
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57 self.previous = self.next = None |
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58 self.key = key |
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59 self.value = value |
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60 def __repr__(self): |
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61 return repr(self.value) |
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62 |
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63 def __init__(self, capacity): |
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64 self._dict = dict() |
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65 self.capacity = capacity |
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66 self.head = None |
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67 self.tail = None |
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68 |
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69 def __contains__(self, key): |
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70 return key in self._dict |
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71 |
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72 def __iter__(self): |
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73 cur = self.head |
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74 while cur: |
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75 yield cur.key |
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76 cur = cur.next |
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77 |
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78 def __len__(self): |
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79 return len(self._dict) |
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80 |
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81 def __getitem__(self, key): |
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82 item = self._dict[key] |
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83 self._update_item(item) |
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84 return item.value |
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85 |
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86 def __setitem__(self, key, value): |
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87 item = self._dict.get(key) |
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88 if item is None: |
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89 item = self._Item(key, value) |
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90 self._dict[key] = item |
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91 self._insert_item(item) |
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92 else: |
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93 item.value = value |
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94 self._update_item(item) |
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95 self._manage_size() |
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96 |
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97 def __repr__(self): |
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98 return repr(self._dict) |
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99 |
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100 def _insert_item(self, item): |
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101 item.previous = None |
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102 item.next = self.head |
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103 if self.head is not None: |
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104 self.head.previous = item |
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105 else: |
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106 self.tail = item |
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107 self.head = item |
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108 self._manage_size() |
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109 |
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110 def _manage_size(self): |
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111 while len(self._dict) > self.capacity: |
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112 olditem = self._dict[self.tail.key] |
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113 del self._dict[self.tail.key] |
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114 if self.tail != self.head: |
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115 self.tail = self.tail.previous |
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116 self.tail.next = None |
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117 else: |
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118 self.head = self.tail = None |
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119 |
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120 def _update_item(self, item): |
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121 if self.head == item: |
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122 return |
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123 |
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124 previous = item.previous |
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125 previous.next = item.next |
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126 if item.next is not None: |
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127 item.next.previous = previous |
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128 else: |
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129 self.tail = previous |
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130 |
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131 item.previous = None |
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132 item.next = self.head |
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133 self.head.previous = self.head = item |