Mercurial > repos > shellac > guppy_basecaller

annotate env/lib/python3.7/site-packages/glob2/compat.py @ 3:758bc20232e8 draft

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"planemo upload commit 2a0fe2cc28b09e101d37293e53e82f61762262ec"
author shellac
date Thu, 14 May 2020 16:20:52 -0400
parents 26e78fe6e8c4
children
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1 # Back-port functools.lru_cache to Python 2 (and <= 3.2)
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2 # {{{ http://code.activestate.com/recipes/578078/ (r6)
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3
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4 from collections import namedtuple
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5 from functools import update_wrapper
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6 from threading import RLock
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7
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8 _CacheInfo = namedtuple("CacheInfo", ["hits", "misses", "maxsize", "currsize"])
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9
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10 class _HashedSeq(list):
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11 __slots__ = 'hashvalue'
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12
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13 def __init__(self, tup, hash=hash):
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14 self[:] = tup
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15 self.hashvalue = hash(tup)
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16
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17 def __hash__(self):
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18 return self.hashvalue
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19
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20 def _make_key(args, kwds, typed,
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21 kwd_mark = (object(),),
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22 fasttypes = set((int, str, frozenset, type(None))),
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23 sorted=sorted, tuple=tuple, type=type, len=len):
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24 'Make a cache key from optionally typed positional and keyword arguments'
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25 key = args
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26 if kwds:
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27 sorted_items = sorted(kwds.items())
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28 key += kwd_mark
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29 for item in sorted_items:
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30 key += item
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31 if typed:
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32 key += tuple(type(v) for v in args)
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33 if kwds:
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34 key += tuple(type(v) for k, v in sorted_items)
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35 elif len(key) == 1 and type(key[0]) in fasttypes:
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36 return key[0]
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37 return _HashedSeq(key)
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38
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39 def lru_cache(maxsize=100, typed=False):
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40 """Least-recently-used cache decorator.
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41
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42 If *maxsize* is set to None, the LRU features are disabled and the cache
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43 can grow without bound.
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44
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45 If *typed* is True, arguments of different types will be cached separately.
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46 For example, f(3.0) and f(3) will be treated as distinct calls with
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47 distinct results.
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48
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49 Arguments to the cached function must be hashable.
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50
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51 View the cache statistics named tuple (hits, misses, maxsize, currsize) with
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52 f.cache_info(). Clear the cache and statistics with f.cache_clear().
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53 Access the underlying function with f.__wrapped__.
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54
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55 See: http://en.wikipedia.org/wiki/Cache_algorithms#Least_Recently_Used
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56
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57 """
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58
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59 # Users should only access the lru_cache through its public API:
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60 # cache_info, cache_clear, and f.__wrapped__
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61 # The internals of the lru_cache are encapsulated for thread safety and
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62 # to allow the implementation to change (including a possible C version).
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63
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64 def decorating_function(user_function):
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65
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66 cache = dict()
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67 stats = [0, 0] # make statistics updateable non-locally
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68 HITS, MISSES = 0, 1 # names for the stats fields
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69 make_key = _make_key
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70 cache_get = cache.get # bound method to lookup key or return None
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71 _len = len # localize the global len() function
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72 lock = RLock() # because linkedlist updates aren't threadsafe
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73 root = [] # root of the circular doubly linked list
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74 root[:] = [root, root, None, None] # initialize by pointing to self
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75 nonlocal_root = [root] # make updateable non-locally
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76 PREV, NEXT, KEY, RESULT = 0, 1, 2, 3 # names for the link fields
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77
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78 if maxsize == 0:
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79
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80 def wrapper(*args, **kwds):
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81 # no caching, just do a statistics update after a successful call
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82 result = user_function(*args, **kwds)
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83 stats[MISSES] += 1
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84 return result
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85
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86 elif maxsize is None:
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87
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88 def wrapper(*args, **kwds):
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89 # simple caching without ordering or size limit
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90 key = make_key(args, kwds, typed)
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91 result = cache_get(key, root) # root used here as a unique not-found sentinel
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92 if result is not root:
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93 stats[HITS] += 1
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94 return result
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95 result = user_function(*args, **kwds)
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96 cache[key] = result
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97 stats[MISSES] += 1
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98 return result
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99
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100 else:
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101
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102 def wrapper(*args, **kwds):
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103 # size limited caching that tracks accesses by recency
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104 key = make_key(args, kwds, typed) if kwds or typed else args
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105 with lock:
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106 link = cache_get(key)
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107 if link is not None:
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108 # record recent use of the key by moving it to the front of the list
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109 root, = nonlocal_root
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110 link_prev, link_next, key, result = link
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111 link_prev[NEXT] = link_next
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112 link_next[PREV] = link_prev
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113 last = root[PREV]
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114 last[NEXT] = root[PREV] = link
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115 link[PREV] = last
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116 link[NEXT] = root
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117 stats[HITS] += 1
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118 return result
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119 result = user_function(*args, **kwds)
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120 with lock:
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121 root, = nonlocal_root
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122 if key in cache:
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123 # getting here means that this same key was added to the
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124 # cache while the lock was released. since the link
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125 # update is already done, we need only return the
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126 # computed result and update the count of misses.
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127 pass
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128 elif _len(cache) >= maxsize:
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129 # use the old root to store the new key and result
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130 oldroot = root
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131 oldroot[KEY] = key
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132 oldroot[RESULT] = result
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133 # empty the oldest link and make it the new root
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134 root = nonlocal_root[0] = oldroot[NEXT]
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135 oldkey = root[KEY]
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136 oldvalue = root[RESULT]
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137 root[KEY] = root[RESULT] = None
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138 # now update the cache dictionary for the new links
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139 del cache[oldkey]
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140 cache[key] = oldroot
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141 else:
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142 # put result in a new link at the front of the list
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143 last = root[PREV]
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144 link = [last, root, key, result]
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145 last[NEXT] = root[PREV] = cache[key] = link
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146 stats[MISSES] += 1
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147 return result
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148
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149 def cache_info():
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150 """Report cache statistics"""
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151 with lock:
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152 return _CacheInfo(stats[HITS], stats[MISSES], maxsize, len(cache))
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153
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154 def cache_clear():
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155 """Clear the cache and cache statistics"""
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156 with lock:
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157 cache.clear()
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158 root = nonlocal_root[0]
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159 root[:] = [root, root, None, None]
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160 stats[:] = [0, 0]
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161
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162 wrapper.__wrapped__ = user_function
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163 wrapper.cache_info = cache_info
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164 wrapper.cache_clear = cache_clear
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165 return update_wrapper(wrapper, user_function)
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166
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167 return decorating_function