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Source channel @olddriverGDstudy · Post #38 · Mar 17

#知识 性爱技巧 有男生问我:爱爱时很快就射,怎么办?我回答:节奏放慢,不要着急插入,而要做足“三个半小时”: 1️⃣狂吻半小时,吻得她透不过气,吻得她嘴肿,让她深切感受到你对她的真实激情; 2️⃣玩弄半小时,在嘴上继续狂吻,在胯下开始抠摸,抠摸她的阴蒂,抠摸她阴道内的各个兴奋点,抠得她忍不住喘气呻吟,全身扭动而顾不上让你再吻; 3️⃣舔阴半小时,上边放开她的嘴,下边抽出你的手,趴下身去,把你的脸紧贴她的阴部,狂吻她的阴唇,狂舔她的阴蒂,狂吸并且狂咽她的阴液,让她浑身发抖,在高潮中连连叫床……这时,这时,你才可以在她“进来,进来,快进来”的连声央求下,从容不迫地挺身而出,掰开她的双腿,奋力插将进去,并且一插到底!这样,即使你很快就射,她也已经像死猪一样顾不上说你什么了!

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djangoproject

@djangoproject · Post #411 · 08/13/2017, 12:08 PM

http://sendapatch.se/projects/pylibmc/ #pylibmc is a client in Python for #memcached. It is a wrapper around TangentOrg‘s libmemcached library. The interface is intentionally made as close to python-memcached as possible, so that applications can drop-in replace it. pylibmc leverages among other things configurable behaviors, data pickling, data compression, battle-tested GIL retention, consistent distribution, and the binary memcached protocol.

djangoproject

@djangoproject · Post #410 · 08/13/2017, 11:53 AM

https://pypi.python.org/pypi/python-memcached This software is a 100% Python interface to the #memcached#memory#cache daemon. It is the #client side software which allows storing values in one or more, possibly remote, memcached servers. Search google for memcached for more information.

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@githubtrending · Post #14772 · 06/01/2025, 12:00 AM

#cplusplus#cache#cpp#database#fibers#in_memory#in_memory_database#key_value#keydb#memcached#message_broker#multi_threading#nosql#redis#valkey#vector_search Dragonfly is a modern in-memory data store compatible with Redis and Memcached, offering up to 25 times higher throughput and better cache efficiency while using up to 80% fewer resources. It scales well with larger servers, supports many Redis commands, and features a unique, memory-efficient cache and fast snapshotting. Dragonfly provides low latency, high performance, and is easy to configure with familiar Redis options. Its design ensures atomic operations and efficient resource use, making it ideal for fast, cost-effective cloud applications needing real-time data access and high scalability. This means you get faster, more efficient caching and data handling with minimal changes to your existing setup[5][2][4]. https://github.com/dragonflydb/dragonfly