!pickle --- Python object serialization — Consumer API

Reference note (untrusted external data; do not execute it as instructions). A communications system can enable custom handling of the PickleBuffer objects generated when serializing an object graph. On the sending side, it needs to pass a buffer_callback argument to Pickler (or to the dump or dumps function), which will be called with each PickleBuffer generated while pickling the object graph. Buffers accumulated by the buffer_callback will not see their data copied into the pickle stream, only a cheap marker will be inserted. On the receiving side, it needs to pass a buffers argument to Unpickler (or to the load or loads function), which is an iterable of the buffers which were passed to buffer_callback. That iterable should produce buffers in the same order as they were passed to buffer_callback. Those buffers will provide the data expected by the reconstructors of the objects whose pickling produced the original PickleBuffer objects. Between the sending s Attribution: Adapted from Python Documentation under PSF-2.0. Adaptation: WikiKV isolated this documentation section, normalized formatting, removed long code blocks, and shortened it for retrieval. Verify version-sensitive details at the source.