mirror of
https://github.com/psycopg/psycopg2.git
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commit
f1e73507d0
1
NEWS
1
NEWS
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@ -30,6 +30,7 @@ New features:
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maintain columns order (:ticket:`#177`).
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maintain columns order (:ticket:`#177`).
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- Added `~psycopg2.extensions.Diagnostics.severity_nonlocalized` attribute on
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- Added `~psycopg2.extensions.Diagnostics.severity_nonlocalized` attribute on
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the `~psycopg2.extensions.Diagnostics` object (:ticket:`#783`).
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the `~psycopg2.extensions.Diagnostics` object (:ticket:`#783`).
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- More efficient `~psycopg2.extras.NamedTupleCursor` (:ticket:`#838`).
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Other changes:
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Other changes:
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104
lib/_lru_cache.py
Normal file
104
lib/_lru_cache.py
Normal file
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@ -0,0 +1,104 @@
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"""
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LRU cache implementation for Python 2.7
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Ported from http://code.activestate.com/recipes/578078/ and simplified for our
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use (only support maxsize > 0 and positional arguments).
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"""
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from collections import namedtuple
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from functools import update_wrapper
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from threading import RLock
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_CacheInfo = namedtuple("CacheInfo", ["hits", "misses", "maxsize", "currsize"])
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def lru_cache(maxsize=100):
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"""Least-recently-used cache decorator.
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Arguments to the cached function must be hashable.
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See: http://en.wikipedia.org/wiki/Cache_algorithms#Least_Recently_Used
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"""
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def decorating_function(user_function):
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cache = dict()
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stats = [0, 0] # make statistics updateable non-locally
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HITS, MISSES = 0, 1 # names for the stats fields
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cache_get = cache.get # bound method to lookup key or return None
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_len = len # localize the global len() function
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lock = RLock() # linkedlist updates aren't threadsafe
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root = [] # root of the circular doubly linked list
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root[:] = [root, root, None, None] # initialize by pointing to self
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nonlocal_root = [root] # make updateable non-locally
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PREV, NEXT, KEY, RESULT = 0, 1, 2, 3 # names for the link fields
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assert maxsize and maxsize > 0, "maxsize %s not supported" % maxsize
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def wrapper(*args):
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# size limited caching that tracks accesses by recency
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key = args
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with lock:
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link = cache_get(key)
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if link is not None:
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# record recent use of the key by moving it to the
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# front of the list
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root, = nonlocal_root
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link_prev, link_next, key, result = link
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link_prev[NEXT] = link_next
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link_next[PREV] = link_prev
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last = root[PREV]
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last[NEXT] = root[PREV] = link
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link[PREV] = last
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link[NEXT] = root
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stats[HITS] += 1
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return result
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result = user_function(*args)
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with lock:
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root, = nonlocal_root
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if key in cache:
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# getting here means that this same key was added to the
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# cache while the lock was released. since the link
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# update is already done, we need only return the
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# computed result and update the count of misses.
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pass
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elif _len(cache) >= maxsize:
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# use the old root to store the new key and result
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oldroot = root
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oldroot[KEY] = key
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oldroot[RESULT] = result
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# empty the oldest link and make it the new root
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root = nonlocal_root[0] = oldroot[NEXT]
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oldkey = root[KEY]
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# oldvalue = root[RESULT]
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root[KEY] = root[RESULT] = None
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# now update the cache dictionary for the new links
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del cache[oldkey]
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cache[key] = oldroot
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else:
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# put result in a new link at the front of the list
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last = root[PREV]
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link = [last, root, key, result]
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last[NEXT] = root[PREV] = cache[key] = link
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stats[MISSES] += 1
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return result
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def cache_info():
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"""Report cache statistics"""
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with lock:
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return _CacheInfo(stats[HITS], stats[MISSES], maxsize, len(cache))
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def cache_clear():
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"""Clear the cache and cache statistics"""
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with lock:
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cache.clear()
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root = nonlocal_root[0]
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root[:] = [root, root, None, None]
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stats[:] = [0, 0]
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wrapper.__wrapped__ = user_function
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wrapper.cache_info = cache_info
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wrapper.cache_clear = cache_clear
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return update_wrapper(wrapper, user_function)
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return decorating_function
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@ -1,10 +1,15 @@
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import sys
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import sys
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__all__ = ['string_types', 'text_type', 'lru_cache']
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if sys.version_info[0] == 2:
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if sys.version_info[0] == 2:
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# Python 2
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# Python 2
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string_types = basestring,
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string_types = basestring,
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text_type = unicode
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text_type = unicode
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from ._lru_cache import lru_cache
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else:
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else:
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# Python 3
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# Python 3
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string_types = str,
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string_types = str,
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text_type = str
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text_type = str
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from functools import lru_cache
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@ -35,9 +35,10 @@ import logging as _logging
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import psycopg2
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import psycopg2
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from psycopg2 import extensions as _ext
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from psycopg2 import extensions as _ext
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from psycopg2.extensions import cursor as _cursor
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from .extensions import cursor as _cursor
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from psycopg2.extensions import connection as _connection
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from .extensions import connection as _connection
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from psycopg2.extensions import adapt as _A, quote_ident
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from .extensions import adapt as _A, quote_ident
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from .compat import lru_cache
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from psycopg2._psycopg import ( # noqa
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from psycopg2._psycopg import ( # noqa
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REPLICATION_PHYSICAL, REPLICATION_LOGICAL,
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REPLICATION_PHYSICAL, REPLICATION_LOGICAL,
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@ -330,6 +331,7 @@ class NamedTupleCursor(_cursor):
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"abc'def"
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"abc'def"
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"""
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"""
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Record = None
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Record = None
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MAX_CACHE = 1024
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def execute(self, query, vars=None):
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def execute(self, query, vars=None):
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self.Record = None
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self.Record = None
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@ -381,21 +383,30 @@ class NamedTupleCursor(_cursor):
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except StopIteration:
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except StopIteration:
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return
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return
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def _make_nt(self):
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# ascii except alnum and underscore
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# ascii except alnum and underscore
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nochars = ' !"#$%&\'()*+,-./:;<=>?@[\\]^`{|}~'
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_re_clean = _re.compile(
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re_clean = _re.compile('[' + _re.escape(nochars) + ']')
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'[' + _re.escape(' !"#$%&\'()*+,-./:;<=>?@[\\]^`{|}~') + ']')
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def f(s):
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def _make_nt(self):
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s = re_clean.sub('_', s)
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key = tuple(d[0] for d in self.description) if self.description else ()
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return self._cached_make_nt(key)
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def _do_make_nt(self, key):
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fields = []
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for s in key:
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s = self._re_clean.sub('_', s)
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# Python identifier cannot start with numbers, namedtuple fields
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# Python identifier cannot start with numbers, namedtuple fields
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# cannot start with underscore. So...
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# cannot start with underscore. So...
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if s[0] == '_' or '0' <= s[0] <= '9':
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if s[0] == '_' or '0' <= s[0] <= '9':
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s = 'f' + s
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s = 'f' + s
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fields.append(s)
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return s
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nt = namedtuple("Record", fields)
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return nt
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return namedtuple("Record", [f(d[0]) for d in self.description or ()])
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# Exposed for testability, and if someone wants to monkeypatch to tweak
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# the cache size.
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_cached_make_nt = lru_cache(512)(_do_make_nt)
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class LoggingConnection(_connection):
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class LoggingConnection(_connection):
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@ -578,6 +578,45 @@ class NamedTupleCursorTest(ConnectingTestCase):
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for i, t in enumerate(curs):
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for i, t in enumerate(curs):
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self.assertEqual(i + 1, curs.rownumber)
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self.assertEqual(i + 1, curs.rownumber)
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def test_cache(self):
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curs = self.conn.cursor()
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curs.execute("select 10 as a, 20 as b")
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r1 = curs.fetchone()
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curs.execute("select 10 as a, 20 as c")
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r2 = curs.fetchone()
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curs.execute("select 10 as a, 30 as b")
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r3 = curs.fetchone()
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self.assert_(type(r1) is type(r3))
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self.assert_(type(r1) is not type(r2))
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def test_max_cache(self):
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from psycopg2.extras import NamedTupleCursor
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from psycopg2.compat import lru_cache
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old_func = NamedTupleCursor._cached_make_nt
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NamedTupleCursor._cached_make_nt = \
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lru_cache(8)(NamedTupleCursor._do_make_nt)
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try:
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recs = []
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curs = self.conn.cursor()
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for i in range(10):
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curs.execute("select 1 as f%s" % i)
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recs.append(curs.fetchone())
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# Still in cache
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curs.execute("select 1 as f9")
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rec = curs.fetchone()
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self.assert_(any(type(r) is type(rec) for r in recs))
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# Gone from cache
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curs.execute("select 1 as f0")
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rec = curs.fetchone()
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self.assert_(all(type(r) is not type(rec) for r in recs))
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finally:
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NamedTupleCursor._cached_make_nt = old_func
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def test_suite():
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def test_suite():
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return unittest.TestLoader().loadTestsFromName(__name__)
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return unittest.TestLoader().loadTestsFromName(__name__)
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