Mercurial > repos > shellac > guppy_basecaller
annotate env/lib/python3.7/site-packages/boltons/cacheutils.py @ 3:758bc20232e8 draft
"planemo upload commit 2a0fe2cc28b09e101d37293e53e82f61762262ec"
author | shellac |
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date | Thu, 14 May 2020 16:20:52 -0400 |
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1 # -*- coding: utf-8 -*- |
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2 """``cacheutils`` contains consistent implementations of fundamental |
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3 cache types. Currently there are two to choose from: |
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4 |
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5 * :class:`LRI` - Least-recently inserted |
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6 * :class:`LRU` - Least-recently used |
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7 |
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8 Both caches are :class:`dict` subtypes, designed to be as |
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9 interchangeable as possible, to facilitate experimentation. A key |
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10 practice with performance enhancement with caching is ensuring that |
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11 the caching strategy is working. If the cache is constantly missing, |
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12 it is just adding more overhead and code complexity. The standard |
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13 statistics are: |
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14 |
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15 * ``hit_count`` - the number of times the queried key has been in |
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16 the cache |
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17 * ``miss_count`` - the number of times a key has been absent and/or |
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18 fetched by the cache |
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19 * ``soft_miss_count`` - the number of times a key has been absent, |
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20 but a default has been provided by the caller, as with |
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21 :meth:`dict.get` and :meth:`dict.setdefault`. Soft misses are a |
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22 subset of misses, so this number is always less than or equal to |
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23 ``miss_count``. |
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24 |
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25 Additionally, ``cacheutils`` provides :class:`ThresholdCounter`, a |
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26 cache-like bounded counter useful for online statistics collection. |
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27 |
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28 Learn more about `caching algorithms on Wikipedia |
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29 <https://en.wikipedia.org/wiki/Cache_algorithms#Examples>`_. |
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30 |
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31 """ |
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32 |
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33 # TODO: TimedLRI |
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34 # TODO: support 0 max_size? |
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35 |
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36 |
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37 import heapq |
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38 import weakref |
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39 import itertools |
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40 from operator import attrgetter |
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41 |
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42 try: |
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43 from threading import RLock |
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44 except Exception: |
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45 class RLock(object): |
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46 'Dummy reentrant lock for builds without threads' |
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47 def __enter__(self): |
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48 pass |
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49 |
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50 def __exit__(self, exctype, excinst, exctb): |
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51 pass |
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52 |
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53 try: |
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54 from boltons.typeutils import make_sentinel |
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55 _MISSING = make_sentinel(var_name='_MISSING') |
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56 _KWARG_MARK = make_sentinel(var_name='_KWARG_MARK') |
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57 except ImportError: |
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58 _MISSING = object() |
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59 _KWARG_MARK = object() |
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60 |
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61 try: |
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62 xrange |
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63 except NameError: |
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64 # py3 |
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65 xrange = range |
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66 unicode, str, bytes, basestring = str, bytes, bytes, (str, bytes) |
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67 |
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68 PREV, NEXT, KEY, VALUE = range(4) # names for the link fields |
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69 DEFAULT_MAX_SIZE = 128 |
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70 |
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71 |
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72 class LRI(dict): |
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73 """The ``LRI`` implements the basic *Least Recently Inserted* strategy to |
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74 caching. One could also think of this as a ``SizeLimitedDefaultDict``. |
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75 |
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76 *on_miss* is a callable that accepts the missing key (as opposed |
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77 to :class:`collections.defaultdict`'s "default_factory", which |
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78 accepts no arguments.) Also note that, like the :class:`LRI`, |
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79 the ``LRI`` is instrumented with statistics tracking. |
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80 |
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81 >>> cap_cache = LRI(max_size=2) |
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82 >>> cap_cache['a'], cap_cache['b'] = 'A', 'B' |
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83 >>> from pprint import pprint as pp |
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84 >>> pp(dict(cap_cache)) |
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85 {'a': 'A', 'b': 'B'} |
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86 >>> [cap_cache['b'] for i in range(3)][0] |
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87 'B' |
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88 >>> cap_cache['c'] = 'C' |
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89 >>> print(cap_cache.get('a')) |
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90 None |
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91 >>> cap_cache.hit_count, cap_cache.miss_count, cap_cache.soft_miss_count |
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92 (3, 1, 1) |
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93 """ |
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94 def __init__(self, max_size=DEFAULT_MAX_SIZE, values=None, |
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95 on_miss=None): |
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96 if max_size <= 0: |
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97 raise ValueError('expected max_size > 0, not %r' % max_size) |
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98 self.hit_count = self.miss_count = self.soft_miss_count = 0 |
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99 self.max_size = max_size |
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100 self._lock = RLock() |
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101 self._init_ll() |
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102 |
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103 if on_miss is not None and not callable(on_miss): |
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104 raise TypeError('expected on_miss to be a callable' |
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105 ' (or None), not %r' % on_miss) |
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106 self.on_miss = on_miss |
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107 |
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108 if values: |
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109 self.update(values) |
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110 |
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111 # TODO: fromkeys()? |
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112 |
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113 # linked list manipulation methods. |
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114 # |
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115 # invariants: |
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116 # 1) 'anchor' is the sentinel node in the doubly linked list. there is |
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117 # always only one, and its KEY and VALUE are both _MISSING. |
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118 # 2) the most recently accessed node comes immediately before 'anchor'. |
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119 # 3) the least recently accessed node comes immediately after 'anchor'. |
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120 def _init_ll(self): |
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121 anchor = [] |
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122 anchor[:] = [anchor, anchor, _MISSING, _MISSING] |
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123 # a link lookup table for finding linked list links in O(1) |
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124 # time. |
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125 self._link_lookup = {} |
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126 self._anchor = anchor |
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127 |
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128 def _print_ll(self): |
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129 print('***') |
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130 for (key, val) in self._get_flattened_ll(): |
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131 print(key, val) |
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132 print('***') |
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133 return |
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134 |
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135 def _get_flattened_ll(self): |
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136 flattened_list = [] |
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137 link = self._anchor |
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138 while True: |
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139 flattened_list.append((link[KEY], link[VALUE])) |
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140 link = link[NEXT] |
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141 if link is self._anchor: |
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142 break |
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143 return flattened_list |
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144 |
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145 def _get_link_and_move_to_front_of_ll(self, key): |
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146 # find what will become the newest link. this may raise a |
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147 # KeyError, which is useful to __getitem__ and __setitem__ |
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148 newest = self._link_lookup[key] |
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149 |
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150 # splice out what will become the newest link. |
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151 newest[PREV][NEXT] = newest[NEXT] |
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152 newest[NEXT][PREV] = newest[PREV] |
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153 |
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154 # move what will become the newest link immediately before |
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155 # anchor (invariant 2) |
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156 anchor = self._anchor |
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157 second_newest = anchor[PREV] |
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158 second_newest[NEXT] = anchor[PREV] = newest |
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159 newest[PREV] = second_newest |
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160 newest[NEXT] = anchor |
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161 return newest |
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162 |
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163 def _set_key_and_add_to_front_of_ll(self, key, value): |
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164 # create a new link and place it immediately before anchor |
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165 # (invariant 2). |
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166 anchor = self._anchor |
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167 second_newest = anchor[PREV] |
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168 newest = [second_newest, anchor, key, value] |
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169 second_newest[NEXT] = anchor[PREV] = newest |
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170 self._link_lookup[key] = newest |
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171 |
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172 def _set_key_and_evict_last_in_ll(self, key, value): |
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173 # the link after anchor is the oldest in the linked list |
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174 # (invariant 3). the current anchor becomes a link that holds |
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175 # the newest key, and the oldest link becomes the new anchor |
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176 # (invariant 1). now the newest link comes before anchor |
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177 # (invariant 2). no links are moved; only their keys |
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178 # and values are changed. |
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179 oldanchor = self._anchor |
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180 oldanchor[KEY] = key |
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181 oldanchor[VALUE] = value |
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182 |
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183 self._anchor = anchor = oldanchor[NEXT] |
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184 evicted = anchor[KEY] |
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185 anchor[KEY] = anchor[VALUE] = _MISSING |
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186 del self._link_lookup[evicted] |
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187 self._link_lookup[key] = oldanchor |
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188 return evicted |
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189 |
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190 def _remove_from_ll(self, key): |
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191 # splice a link out of the list and drop it from our lookup |
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192 # table. |
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193 link = self._link_lookup.pop(key) |
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194 link[PREV][NEXT] = link[NEXT] |
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195 link[NEXT][PREV] = link[PREV] |
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196 |
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197 def __setitem__(self, key, value): |
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198 with self._lock: |
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199 try: |
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200 link = self._get_link_and_move_to_front_of_ll(key) |
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201 except KeyError: |
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202 if len(self) < self.max_size: |
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203 self._set_key_and_add_to_front_of_ll(key, value) |
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204 else: |
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205 evicted = self._set_key_and_evict_last_in_ll(key, value) |
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206 super(LRI, self).__delitem__(evicted) |
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207 super(LRI, self).__setitem__(key, value) |
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208 else: |
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209 link[VALUE] = value |
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210 |
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211 def __getitem__(self, key): |
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212 with self._lock: |
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213 try: |
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214 link = self._link_lookup[key] |
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215 except KeyError: |
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216 self.miss_count += 1 |
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217 if not self.on_miss: |
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218 raise |
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219 ret = self[key] = self.on_miss(key) |
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220 return ret |
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221 |
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222 self.hit_count += 1 |
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223 return link[VALUE] |
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224 |
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225 def get(self, key, default=None): |
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226 try: |
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227 return self[key] |
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228 except KeyError: |
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229 self.soft_miss_count += 1 |
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230 return default |
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231 |
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232 def __delitem__(self, key): |
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233 with self._lock: |
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234 super(LRI, self).__delitem__(key) |
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235 self._remove_from_ll(key) |
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236 |
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237 def pop(self, key, default=_MISSING): |
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238 # NB: hit/miss counts are bypassed for pop() |
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239 with self._lock: |
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240 try: |
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241 ret = super(LRI, self).pop(key) |
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242 except KeyError: |
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243 if default is _MISSING: |
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244 raise |
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245 ret = default |
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246 else: |
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247 self._remove_from_ll(key) |
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248 return ret |
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249 |
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250 def popitem(self): |
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251 with self._lock: |
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252 item = super(LRI, self).popitem() |
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253 self._remove_from_ll(item[0]) |
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254 return item |
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255 |
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256 def clear(self): |
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257 with self._lock: |
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258 super(LRI, self).clear() |
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259 self._init_ll() |
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260 |
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261 def copy(self): |
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262 return self.__class__(max_size=self.max_size, values=self) |
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263 |
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264 def setdefault(self, key, default=None): |
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265 with self._lock: |
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266 try: |
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267 return self[key] |
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268 except KeyError: |
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269 self.soft_miss_count += 1 |
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270 self[key] = default |
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271 return default |
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272 |
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273 def update(self, E, **F): |
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274 # E and F are throwback names to the dict() __doc__ |
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275 with self._lock: |
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276 if E is self: |
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277 return |
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278 setitem = self.__setitem__ |
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279 if callable(getattr(E, 'keys', None)): |
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280 for k in E.keys(): |
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281 setitem(k, E[k]) |
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282 else: |
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283 for k, v in E: |
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284 setitem(k, v) |
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285 for k in F: |
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286 setitem(k, F[k]) |
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287 return |
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288 |
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289 def __eq__(self, other): |
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290 with self._lock: |
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291 if self is other: |
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292 return True |
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293 if len(other) != len(self): |
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294 return False |
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295 if not isinstance(other, LRI): |
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296 return other == self |
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297 return super(LRI, self).__eq__(other) |
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298 |
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299 def __ne__(self, other): |
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300 return not (self == other) |
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301 |
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302 def __repr__(self): |
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303 cn = self.__class__.__name__ |
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304 val_map = super(LRI, self).__repr__() |
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305 return ('%s(max_size=%r, on_miss=%r, values=%s)' |
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306 % (cn, self.max_size, self.on_miss, val_map)) |
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307 |
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308 |
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309 class LRU(LRI): |
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310 """The ``LRU`` is :class:`dict` subtype implementation of the |
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311 *Least-Recently Used* caching strategy. |
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312 |
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313 Args: |
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314 max_size (int): Max number of items to cache. Defaults to ``128``. |
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315 values (iterable): Initial values for the cache. Defaults to ``None``. |
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316 on_miss (callable): a callable which accepts a single argument, the |
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317 key not present in the cache, and returns the value to be cached. |
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318 |
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319 >>> cap_cache = LRU(max_size=2) |
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320 >>> cap_cache['a'], cap_cache['b'] = 'A', 'B' |
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321 >>> from pprint import pprint as pp |
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322 >>> pp(dict(cap_cache)) |
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323 {'a': 'A', 'b': 'B'} |
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324 >>> [cap_cache['b'] for i in range(3)][0] |
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325 'B' |
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326 >>> cap_cache['c'] = 'C' |
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327 >>> print(cap_cache.get('a')) |
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328 None |
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329 |
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330 This cache is also instrumented with statistics |
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331 collection. ``hit_count``, ``miss_count``, and ``soft_miss_count`` |
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332 are all integer members that can be used to introspect the |
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333 performance of the cache. ("Soft" misses are misses that did not |
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334 raise :exc:`KeyError`, e.g., ``LRU.get()`` or ``on_miss`` was used to |
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335 cache a default. |
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336 |
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337 >>> cap_cache.hit_count, cap_cache.miss_count, cap_cache.soft_miss_count |
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338 (3, 1, 1) |
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339 |
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340 Other than the size-limiting caching behavior and statistics, |
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341 ``LRU`` acts like its parent class, the built-in Python :class:`dict`. |
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342 """ |
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343 def __getitem__(self, key): |
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344 with self._lock: |
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345 try: |
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346 link = self._get_link_and_move_to_front_of_ll(key) |
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347 except KeyError: |
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348 self.miss_count += 1 |
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349 if not self.on_miss: |
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350 raise |
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351 ret = self[key] = self.on_miss(key) |
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352 return ret |
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353 |
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354 self.hit_count += 1 |
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355 return link[VALUE] |
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356 |
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357 |
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358 ### Cached decorator |
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359 # Key-making technique adapted from Python 3.4's functools |
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360 |
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361 class _HashedKey(list): |
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362 """The _HashedKey guarantees that hash() will be called no more than once |
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363 per cached function invocation. |
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364 """ |
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365 __slots__ = 'hash_value' |
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366 |
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367 def __init__(self, key): |
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368 self[:] = key |
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369 self.hash_value = hash(tuple(key)) |
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370 |
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371 def __hash__(self): |
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372 return self.hash_value |
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373 |
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374 def __repr__(self): |
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375 return '%s(%s)' % (self.__class__.__name__, list.__repr__(self)) |
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376 |
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377 |
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378 def make_cache_key(args, kwargs, typed=False, |
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379 kwarg_mark=_KWARG_MARK, |
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380 fasttypes=frozenset([int, str, frozenset, type(None)])): |
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381 """Make a generic key from a function's positional and keyword |
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382 arguments, suitable for use in caches. Arguments within *args* and |
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383 *kwargs* must be `hashable`_. If *typed* is ``True``, ``3`` and |
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384 ``3.0`` will be treated as separate keys. |
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385 |
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386 The key is constructed in a way that is flat as possible rather than |
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387 as a nested structure that would take more memory. |
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388 |
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389 If there is only a single argument and its data type is known to cache |
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390 its hash value, then that argument is returned without a wrapper. This |
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391 saves space and improves lookup speed. |
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392 |
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393 >>> tuple(make_cache_key(('a', 'b'), {'c': ('d')})) |
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394 ('a', 'b', _KWARG_MARK, ('c', 'd')) |
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395 |
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396 .. _hashable: https://docs.python.org/2/glossary.html#term-hashable |
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397 """ |
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398 |
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399 # key = [func_name] if func_name else [] |
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400 # key.extend(args) |
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401 key = list(args) |
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402 if kwargs: |
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403 sorted_items = sorted(kwargs.items()) |
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404 key.append(kwarg_mark) |
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405 key.extend(sorted_items) |
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406 if typed: |
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407 key.extend([type(v) for v in args]) |
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408 if kwargs: |
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409 key.extend([type(v) for k, v in sorted_items]) |
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410 elif len(key) == 1 and type(key[0]) in fasttypes: |
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411 return key[0] |
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412 return _HashedKey(key) |
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413 |
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414 # for backwards compatibility in case someone was importing it |
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415 _make_cache_key = make_cache_key |
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416 |
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417 |
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418 class CachedFunction(object): |
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419 """This type is used by :func:`cached`, below. Instances of this |
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420 class are used to wrap functions in caching logic. |
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421 """ |
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422 def __init__(self, func, cache, scoped=True, typed=False, key=None): |
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423 self.func = func |
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424 if callable(cache): |
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425 self.get_cache = cache |
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426 elif not (callable(getattr(cache, '__getitem__', None)) |
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427 and callable(getattr(cache, '__setitem__', None))): |
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428 raise TypeError('expected cache to be a dict-like object,' |
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429 ' or callable returning a dict-like object, not %r' |
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430 % cache) |
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431 else: |
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432 def _get_cache(): |
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433 return cache |
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434 self.get_cache = _get_cache |
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435 self.scoped = scoped |
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436 self.typed = typed |
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437 self.key_func = key or make_cache_key |
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438 |
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439 def __call__(self, *args, **kwargs): |
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440 cache = self.get_cache() |
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441 key = self.key_func(args, kwargs, typed=self.typed) |
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442 try: |
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443 ret = cache[key] |
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444 except KeyError: |
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445 ret = cache[key] = self.func(*args, **kwargs) |
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446 return ret |
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447 |
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448 def __repr__(self): |
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449 cn = self.__class__.__name__ |
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450 if self.typed or not self.scoped: |
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451 return ("%s(func=%r, scoped=%r, typed=%r)" |
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452 % (cn, self.func, self.scoped, self.typed)) |
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453 return "%s(func=%r)" % (cn, self.func) |
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454 |
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455 |
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456 class CachedMethod(object): |
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457 """Similar to :class:`CachedFunction`, this type is used by |
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458 :func:`cachedmethod` to wrap methods in caching logic. |
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459 """ |
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460 def __init__(self, func, cache, scoped=True, typed=False, key=None): |
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461 self.func = func |
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462 self.__isabstractmethod__ = getattr(func, '__isabstractmethod__', False) |
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463 if isinstance(cache, basestring): |
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464 self.get_cache = attrgetter(cache) |
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465 elif callable(cache): |
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466 self.get_cache = cache |
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467 elif not (callable(getattr(cache, '__getitem__', None)) |
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468 and callable(getattr(cache, '__setitem__', None))): |
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469 raise TypeError('expected cache to be an attribute name,' |
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470 ' dict-like object, or callable returning' |
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471 ' a dict-like object, not %r' % cache) |
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472 else: |
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473 def _get_cache(obj): |
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474 return cache |
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475 self.get_cache = _get_cache |
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476 self.scoped = scoped |
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477 self.typed = typed |
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478 self.key_func = key or make_cache_key |
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479 self.bound_to = None |
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480 |
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481 def __get__(self, obj, objtype=None): |
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482 if obj is None: |
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483 return self |
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484 cls = self.__class__ |
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485 ret = cls(self.func, self.get_cache, typed=self.typed, |
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486 scoped=self.scoped, key=self.key_func) |
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487 ret.bound_to = obj |
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488 return ret |
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489 |
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490 def __call__(self, *args, **kwargs): |
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491 obj = args[0] if self.bound_to is None else self.bound_to |
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492 cache = self.get_cache(obj) |
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493 key_args = (self.bound_to, self.func) + args if self.scoped else args |
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494 key = self.key_func(key_args, kwargs, typed=self.typed) |
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495 try: |
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496 ret = cache[key] |
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497 except KeyError: |
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498 if self.bound_to is not None: |
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499 args = (self.bound_to,) + args |
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500 ret = cache[key] = self.func(*args, **kwargs) |
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501 return ret |
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502 |
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503 def __repr__(self): |
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504 cn = self.__class__.__name__ |
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505 args = (cn, self.func, self.scoped, self.typed) |
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506 if self.bound_to is not None: |
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507 args += (self.bound_to,) |
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508 return ('<%s func=%r scoped=%r typed=%r bound_to=%r>' % args) |
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509 return ("%s(func=%r, scoped=%r, typed=%r)" % args) |
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510 |
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511 |
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512 def cached(cache, scoped=True, typed=False, key=None): |
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513 """Cache any function with the cache object of your choosing. Note |
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514 that the function wrapped should take only `hashable`_ arguments. |
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515 |
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516 Args: |
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517 cache (Mapping): Any :class:`dict`-like object suitable for |
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518 use as a cache. Instances of the :class:`LRU` and |
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519 :class:`LRI` are good choices, but a plain :class:`dict` |
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520 can work in some cases, as well. This argument can also be |
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521 a callable which accepts no arguments and returns a mapping. |
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522 scoped (bool): Whether the function itself is part of the |
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523 cache key. ``True`` by default, different functions will |
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524 not read one another's cache entries, but can evict one |
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525 another's results. ``False`` can be useful for certain |
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526 shared cache use cases. More advanced behavior can be |
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527 produced through the *key* argument. |
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528 typed (bool): Whether to factor argument types into the cache |
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529 check. Default ``False``, setting to ``True`` causes the |
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530 cache keys for ``3`` and ``3.0`` to be considered unequal. |
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531 |
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532 >>> my_cache = LRU() |
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533 >>> @cached(my_cache) |
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534 ... def cached_lower(x): |
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535 ... return x.lower() |
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536 ... |
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537 >>> cached_lower("CaChInG's FuN AgAiN!") |
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538 "caching's fun again!" |
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539 >>> len(my_cache) |
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540 1 |
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541 |
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542 .. _hashable: https://docs.python.org/2/glossary.html#term-hashable |
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543 |
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544 """ |
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545 def cached_func_decorator(func): |
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546 return CachedFunction(func, cache, scoped=scoped, typed=typed, key=key) |
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547 return cached_func_decorator |
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548 |
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549 |
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550 def cachedmethod(cache, scoped=True, typed=False, key=None): |
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551 """Similar to :func:`cached`, ``cachedmethod`` is used to cache |
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552 methods based on their arguments, using any :class:`dict`-like |
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553 *cache* object. |
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554 |
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555 Args: |
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556 cache (str/Mapping/callable): Can be the name of an attribute |
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557 on the instance, any Mapping/:class:`dict`-like object, or |
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558 a callable which returns a Mapping. |
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559 scoped (bool): Whether the method itself and the object it is |
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560 bound to are part of the cache keys. ``True`` by default, |
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561 different methods will not read one another's cache |
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562 results. ``False`` can be useful for certain shared cache |
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563 use cases. More advanced behavior can be produced through |
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564 the *key* arguments. |
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565 typed (bool): Whether to factor argument types into the cache |
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566 check. Default ``False``, setting to ``True`` causes the |
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567 cache keys for ``3`` and ``3.0`` to be considered unequal. |
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568 key (callable): A callable with a signature that matches |
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569 :func:`make_cache_key` that returns a tuple of hashable |
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570 values to be used as the key in the cache. |
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571 |
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572 >>> class Lowerer(object): |
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573 ... def __init__(self): |
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574 ... self.cache = LRI() |
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575 ... |
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576 ... @cachedmethod('cache') |
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577 ... def lower(self, text): |
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578 ... return text.lower() |
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579 ... |
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580 >>> lowerer = Lowerer() |
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581 >>> lowerer.lower('WOW WHO COULD GUESS CACHING COULD BE SO NEAT') |
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582 'wow who could guess caching could be so neat' |
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583 >>> len(lowerer.cache) |
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584 1 |
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585 |
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586 """ |
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587 def cached_method_decorator(func): |
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588 return CachedMethod(func, cache, scoped=scoped, typed=typed, key=key) |
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589 return cached_method_decorator |
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590 |
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591 |
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592 class cachedproperty(object): |
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593 """The ``cachedproperty`` is used similar to :class:`property`, except |
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594 that the wrapped method is only called once. This is commonly used |
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595 to implement lazy attributes. |
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596 |
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597 After the property has been accessed, the value is stored on the |
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598 instance itself, using the same name as the cachedproperty. This |
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599 allows the cache to be cleared with :func:`delattr`, or through |
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600 manipulating the object's ``__dict__``. |
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601 """ |
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602 def __init__(self, func): |
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603 self.__doc__ = getattr(func, '__doc__') |
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604 self.__isabstractmethod__ = getattr(func, '__isabstractmethod__', False) |
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605 self.func = func |
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606 |
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607 def __get__(self, obj, objtype=None): |
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608 if obj is None: |
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609 return self |
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610 value = obj.__dict__[self.func.__name__] = self.func(obj) |
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611 return value |
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612 |
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613 def __repr__(self): |
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614 cn = self.__class__.__name__ |
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615 return '<%s func=%s>' % (cn, self.func) |
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616 |
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617 |
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618 class ThresholdCounter(object): |
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619 """A **bounded** dict-like Mapping from keys to counts. The |
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620 ThresholdCounter automatically compacts after every (1 / |
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621 *threshold*) additions, maintaining exact counts for any keys |
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622 whose count represents at least a *threshold* ratio of the total |
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623 data. In other words, if a particular key is not present in the |
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624 ThresholdCounter, its count represents less than *threshold* of |
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625 the total data. |
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626 |
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627 >>> tc = ThresholdCounter(threshold=0.1) |
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628 >>> tc.add(1) |
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629 >>> tc.items() |
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630 [(1, 1)] |
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631 >>> tc.update([2] * 10) |
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632 >>> tc.get(1) |
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633 0 |
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634 >>> tc.add(5) |
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635 >>> 5 in tc |
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636 True |
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637 >>> len(list(tc.elements())) |
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638 11 |
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639 |
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640 As you can see above, the API is kept similar to |
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641 :class:`collections.Counter`. The most notable feature omissions |
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642 being that counted items cannot be set directly, uncounted, or |
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643 removed, as this would disrupt the math. |
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644 |
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645 Use the ThresholdCounter when you need best-effort long-lived |
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646 counts for dynamically-keyed data. Without a bounded datastructure |
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647 such as this one, the dynamic keys often represent a memory leak |
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648 and can impact application reliability. The ThresholdCounter's |
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649 item replacement strategy is fully deterministic and can be |
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650 thought of as *Amortized Least Relevant*. The absolute upper bound |
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651 of keys it will store is *(2/threshold)*, but realistically |
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652 *(1/threshold)* is expected for uniformly random datastreams, and |
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653 one or two orders of magnitude better for real-world data. |
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654 |
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655 This algorithm is an implementation of the Lossy Counting |
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656 algorithm described in "Approximate Frequency Counts over Data |
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657 Streams" by Manku & Motwani. Hat tip to Kurt Rose for discovery |
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658 and initial implementation. |
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659 |
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660 """ |
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661 # TODO: hit_count/miss_count? |
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662 def __init__(self, threshold=0.001): |
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663 if not 0 < threshold < 1: |
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664 raise ValueError('expected threshold between 0 and 1, not: %r' |
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665 % threshold) |
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666 |
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667 self.total = 0 |
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668 self._count_map = {} |
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669 self._threshold = threshold |
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670 self._thresh_count = int(1 / threshold) |
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671 self._cur_bucket = 1 |
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672 |
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673 @property |
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674 def threshold(self): |
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675 return self._threshold |
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676 |
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677 def add(self, key): |
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678 """Increment the count of *key* by 1, automatically adding it if it |
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679 does not exist. |
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680 |
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681 Cache compaction is triggered every *1/threshold* additions. |
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682 """ |
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683 self.total += 1 |
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684 try: |
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685 self._count_map[key][0] += 1 |
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686 except KeyError: |
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687 self._count_map[key] = [1, self._cur_bucket - 1] |
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688 |
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|
689 if self.total % self._thresh_count == 0: |
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690 self._count_map = dict([(k, v) for k, v in self._count_map.items() |
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|
691 if sum(v) > self._cur_bucket]) |
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692 self._cur_bucket += 1 |
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|
693 return |
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|
694 |
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parents:
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|
695 def elements(self): |
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|
696 """Return an iterator of all the common elements tracked by the |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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|
697 counter. Yields each key as many times as it has been seen. |
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698 """ |
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parents:
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|
699 repeaters = itertools.starmap(itertools.repeat, self.iteritems()) |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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|
700 return itertools.chain.from_iterable(repeaters) |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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|
701 |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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|
702 def most_common(self, n=None): |
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parents:
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|
703 """Get the top *n* keys and counts as tuples. If *n* is omitted, |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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|
704 returns all the pairs. |
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|
705 """ |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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|
706 if n <= 0: |
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|
707 return [] |
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|
708 ret = sorted(self.iteritems(), key=lambda x: x[1], reverse=True) |
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|
709 if n is None or n >= len(ret): |
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|
710 return ret |
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|
711 return ret[:n] |
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|
712 |
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parents:
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|
713 def get_common_count(self): |
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|
714 """Get the sum of counts for keys exceeding the configured data |
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|
715 threshold. |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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|
716 """ |
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parents:
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|
717 return sum([count for count, _ in self._count_map.values()]) |
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parents:
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|
718 |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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parents:
diff
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|
719 def get_uncommon_count(self): |
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|
720 """Get the sum of counts for keys that were culled because the |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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|
721 associated counts represented less than the configured |
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parents:
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|
722 threshold. The long-tail counts. |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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parents:
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|
723 """ |
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parents:
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|
724 return self.total - self.get_common_count() |
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parents:
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|
725 |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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parents:
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changeset
|
726 def get_commonality(self): |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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|
727 """Get a float representation of the effective count accuracy. The |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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parents:
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changeset
|
728 higher the number, the less uniform the keys being added, and |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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parents:
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changeset
|
729 the higher accuracy and efficiency of the ThresholdCounter. |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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parents:
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changeset
|
730 |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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parents:
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changeset
|
731 If a stronger measure of data cardinality is required, |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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732 consider using hyperloglog. |
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|
733 """ |
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changeset
|
734 return float(self.get_common_count()) / self.total |
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|
735 |
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parents:
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|
736 def __getitem__(self, key): |
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737 return self._count_map[key][0] |
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|
738 |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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|
739 def __len__(self): |
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740 return len(self._count_map) |
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|
741 |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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parents:
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|
742 def __contains__(self, key): |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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743 return key in self._count_map |
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parents:
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|
744 |
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parents:
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|
745 def iterkeys(self): |
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|
746 return iter(self._count_map) |
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|
747 |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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parents:
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|
748 def keys(self): |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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749 return list(self.iterkeys()) |
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parents:
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|
750 |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
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changeset
|
751 def itervalues(self): |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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|
752 count_map = self._count_map |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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|
753 for k in count_map: |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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parents:
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|
754 yield count_map[k][0] |
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parents:
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changeset
|
755 |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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parents:
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|
756 def values(self): |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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parents:
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changeset
|
757 return list(self.itervalues()) |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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parents:
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changeset
|
758 |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
759 def iteritems(self): |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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|
760 count_map = self._count_map |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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parents:
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|
761 for k in count_map: |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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parents:
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changeset
|
762 yield (k, count_map[k][0]) |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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parents:
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|
763 |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
764 def items(self): |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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parents:
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changeset
|
765 return list(self.iteritems()) |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
766 |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
767 def get(self, key, default=0): |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
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|
768 "Get count for *key*, defaulting to 0." |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
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changeset
|
769 try: |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
770 return self[key] |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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parents:
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changeset
|
771 except KeyError: |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
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changeset
|
772 return default |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
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changeset
|
773 |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
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changeset
|
774 def update(self, iterable, **kwargs): |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
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changeset
|
775 """Like dict.update() but add counts instead of replacing them, used |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
776 to add multiple items in one call. |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
777 |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
778 Source can be an iterable of keys to add, or a mapping of keys |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
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changeset
|
779 to integer counts. |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
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changeset
|
780 """ |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
781 if iterable is not None: |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
782 if callable(getattr(iterable, 'iteritems', None)): |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
783 for key, count in iterable.iteritems(): |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
784 for i in xrange(count): |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
785 self.add(key) |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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parents:
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changeset
|
786 else: |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
787 for key in iterable: |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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parents:
diff
changeset
|
788 self.add(key) |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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parents:
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changeset
|
789 if kwargs: |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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parents:
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|
790 self.update(kwargs) |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
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changeset
|
791 |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
792 |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
793 class MinIDMap(object): |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
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parents:
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|
794 """ |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
795 Assigns arbitrary weakref-able objects the smallest possible unique |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
796 integer IDs, such that no two objects have the same ID at the same |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
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changeset
|
797 time. |
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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
798 |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
799 Maps arbitrary hashable objects to IDs. |
26e78fe6e8c4
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
shellac
parents:
diff
changeset
|
800 |
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801 Based on https://gist.github.com/kurtbrose/25b48114de216a5e55df |
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802 """ |
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803 def __init__(self): |
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804 self.mapping = weakref.WeakKeyDictionary() |
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805 self.ref_map = {} |
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806 self.free = [] |
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807 |
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808 def get(self, a): |
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809 try: |
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810 return self.mapping[a][0] # if object is mapped, return ID |
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811 except KeyError: |
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812 pass |
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813 |
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814 if self.free: # if there are any free IDs, use the smallest |
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815 nxt = heapq.heappop(self.free) |
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816 else: # if there are no free numbers, use the next highest ID |
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817 nxt = len(self.mapping) |
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818 ref = weakref.ref(a, self._clean) |
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819 self.mapping[a] = (nxt, ref) |
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820 self.ref_map[ref] = nxt |
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821 return nxt |
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822 |
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823 def drop(self, a): |
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824 freed, ref = self.mapping[a] |
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825 del self.mapping[a] |
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826 del self.ref_map[ref] |
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827 heapq.heappush(self.free, freed) |
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828 |
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829 def _clean(self, ref): |
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830 print(self.ref_map[ref]) |
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831 heapq.heappush(self.free, self.ref_map[ref]) |
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832 del self.ref_map[ref] |
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833 |
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834 def __contains__(self, a): |
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835 return a in self.mapping |
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836 |
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837 def __iter__(self): |
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838 return iter(self.mapping) |
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839 |
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840 def __len__(self): |
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841 return self.mapping.__len__() |
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842 |
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843 def iteritems(self): |
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844 return iter((k, self.mapping[k][0]) for k in iter(self.mapping)) |
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845 |
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846 |
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847 # end cacheutils.py |