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205 lines
6.2 KiB
Python
205 lines
6.2 KiB
Python
2 years ago
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"""serialization utilities for apply messages"""
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# Copyright (c) IPython Development Team.
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# Distributed under the terms of the Modified BSD License.
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import warnings
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warnings.warn(
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"ipykernel.serialize is deprecated. It has moved to ipyparallel.serialize",
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DeprecationWarning,
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stacklevel=2,
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)
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import pickle
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from itertools import chain
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try:
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# available since ipyparallel 5.0.0
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from ipyparallel.serialize.canning import (
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CannedObject,
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can,
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can_sequence,
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istype,
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sequence_types,
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uncan,
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uncan_sequence,
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)
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from ipyparallel.serialize.serialize import PICKLE_PROTOCOL
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except ImportError:
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# Deprecated since ipykernel 4.3.0
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from ipykernel.pickleutil import (
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PICKLE_PROTOCOL,
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CannedObject,
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can,
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can_sequence,
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istype,
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sequence_types,
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uncan,
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uncan_sequence,
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)
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from jupyter_client.session import MAX_BYTES, MAX_ITEMS
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# -----------------------------------------------------------------------------
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# Serialization Functions
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# -----------------------------------------------------------------------------
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def _extract_buffers(obj, threshold=MAX_BYTES):
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"""extract buffers larger than a certain threshold"""
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buffers = []
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if isinstance(obj, CannedObject) and obj.buffers:
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for i, buf in enumerate(obj.buffers):
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if len(buf) > threshold:
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# buffer larger than threshold, prevent pickling
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obj.buffers[i] = None
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buffers.append(buf)
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# buffer too small for separate send, coerce to bytes
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# because pickling buffer objects just results in broken pointers
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elif isinstance(buf, memoryview):
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obj.buffers[i] = buf.tobytes()
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return buffers
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def _restore_buffers(obj, buffers):
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"""restore buffers extracted by"""
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if isinstance(obj, CannedObject) and obj.buffers:
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for i, buf in enumerate(obj.buffers):
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if buf is None:
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obj.buffers[i] = buffers.pop(0)
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def serialize_object(obj, buffer_threshold=MAX_BYTES, item_threshold=MAX_ITEMS):
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"""Serialize an object into a list of sendable buffers.
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Parameters
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----------
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obj : object
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The object to be serialized
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buffer_threshold : int
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The threshold (in bytes) for pulling out data buffers
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to avoid pickling them.
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item_threshold : int
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The maximum number of items over which canning will iterate.
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Containers (lists, dicts) larger than this will be pickled without
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introspection.
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Returns
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-------
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[bufs] : list of buffers representing the serialized object.
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"""
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buffers = []
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if istype(obj, sequence_types) and len(obj) < item_threshold:
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cobj = can_sequence(obj)
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for c in cobj:
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buffers.extend(_extract_buffers(c, buffer_threshold))
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elif istype(obj, dict) and len(obj) < item_threshold:
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cobj = {}
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for k in sorted(obj):
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c = can(obj[k])
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buffers.extend(_extract_buffers(c, buffer_threshold))
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cobj[k] = c
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else:
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cobj = can(obj)
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buffers.extend(_extract_buffers(cobj, buffer_threshold))
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buffers.insert(0, pickle.dumps(cobj, PICKLE_PROTOCOL))
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return buffers
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def deserialize_object(buffers, g=None):
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"""reconstruct an object serialized by serialize_object from data buffers.
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Parameters
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----------
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buffers : list of buffers/bytes
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g : globals to be used when uncanning
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Returns
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-------
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(newobj, bufs) : unpacked object, and the list of remaining unused buffers.
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"""
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bufs = list(buffers)
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pobj = bufs.pop(0)
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canned = pickle.loads(pobj)
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if istype(canned, sequence_types) and len(canned) < MAX_ITEMS:
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for c in canned:
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_restore_buffers(c, bufs)
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newobj = uncan_sequence(canned, g)
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elif istype(canned, dict) and len(canned) < MAX_ITEMS:
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newobj = {}
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for k in sorted(canned):
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c = canned[k]
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_restore_buffers(c, bufs)
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newobj[k] = uncan(c, g)
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else:
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_restore_buffers(canned, bufs)
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newobj = uncan(canned, g)
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return newobj, bufs
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def pack_apply_message(f, args, kwargs, buffer_threshold=MAX_BYTES, item_threshold=MAX_ITEMS):
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"""pack up a function, args, and kwargs to be sent over the wire
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Each element of args/kwargs will be canned for special treatment,
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but inspection will not go any deeper than that.
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Any object whose data is larger than `threshold` will not have their data copied
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(only numpy arrays and bytes/buffers support zero-copy)
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Message will be a list of bytes/buffers of the format:
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[ cf, pinfo, <arg_bufs>, <kwarg_bufs> ]
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With length at least two + len(args) + len(kwargs)
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"""
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arg_bufs = list(
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chain.from_iterable(serialize_object(arg, buffer_threshold, item_threshold) for arg in args)
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)
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kw_keys = sorted(kwargs.keys())
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kwarg_bufs = list(
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chain.from_iterable(
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serialize_object(kwargs[key], buffer_threshold, item_threshold) for key in kw_keys
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)
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)
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info = dict(nargs=len(args), narg_bufs=len(arg_bufs), kw_keys=kw_keys)
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msg = [pickle.dumps(can(f), PICKLE_PROTOCOL)]
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msg.append(pickle.dumps(info, PICKLE_PROTOCOL))
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msg.extend(arg_bufs)
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msg.extend(kwarg_bufs)
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return msg
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def unpack_apply_message(bufs, g=None, copy=True):
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"""unpack f,args,kwargs from buffers packed by pack_apply_message()
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Returns: original f,args,kwargs"""
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bufs = list(bufs) # allow us to pop
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assert len(bufs) >= 2, "not enough buffers!"
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pf = bufs.pop(0)
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f = uncan(pickle.loads(pf), g)
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pinfo = bufs.pop(0)
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info = pickle.loads(pinfo)
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arg_bufs, kwarg_bufs = bufs[: info["narg_bufs"]], bufs[info["narg_bufs"] :]
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args_list = []
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for _ in range(info["nargs"]):
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arg, arg_bufs = deserialize_object(arg_bufs, g)
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args_list.append(arg)
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args = tuple(args_list)
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assert not arg_bufs, "Shouldn't be any arg bufs left over"
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kwargs = {}
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for key in info["kw_keys"]:
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kwarg, kwarg_bufs = deserialize_object(kwarg_bufs, g)
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kwargs[key] = kwarg
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assert not kwarg_bufs, "Shouldn't be any kwarg bufs left over"
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return f, args, kwargs
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