quasiben/big-shuffle-optimized.html

## big-shuffle-optimized.html


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      <title>Dask Performance Report</title>

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**self._kwargs)\n","loop.start()\n","self.asyncio_loop.run_forever()\n","self._run_once()\n","handle._run()\n","self._context.run(self._callback, *self._args)\n","ret = callback()\n","return self.callback()\n","num_fds = self.proc.num_fds()\n","return self._proc.num_fds()\n","return fun(self, *args, **kwargs)\n","return len(os.listdir(\"%s/%s/fd\" % (self._procfs_path, self.pid)))\n","pt2 = self._proc.cpu_times()\n","return fun(self, *args, **kwargs)\n","values = self._parse_stat_file()\n","return fun(self, *args, **kwargs)\n","ret = self._cache[fun] = fun(self)\n","with open_binary(\"%s/%s/stat\" % (self._procfs_path, self.pid)) as f:\n","return open(fname, \"rb\", **kwargs)\n","ret = _psplatform.cpu_count_logical()\n","return os.sysconf(\"SC_NPROCESSORS_ONLN\")\n","ret = self._cache[fun] = fun(self)\n","return self._proc.memory_info()\n","return fun(self, *args, **kwargs)\n","with open_binary(\"%s/%s/statm\" % (self._procfs_path, self.pid)) as f:\n","return open(fname, \"rb\", **kwargs)\n","rawdict = _psplatform.net_io_counters()\n","with open_text(\"%s/net/dev\" % get_procfs_path()) as f:\n","return open(fname, \"rt\", **kwargs)\n","memory = proc.memory_info().rss\n","return fun(self)\n","return self._proc.memory_info()\n","return fun(self, *args, **kwargs)\n","with open_binary(\"%s/%s/statm\" % (self._procfs_path, self.pid)) as f:\n","return open(fname, \"rb\", **kwargs)\n","pid = self.process.process.pid\n","@property\n","@property\n","self._timeout = self.io_loop.add_timeout(self._next_timeout, self._run)\n","return self.call_at(deadline, callback, *args, **kwargs)\n","functools.partial(callback, *args, **kwargs),\n","context=context)\n","timer = events.TimerHandle(when, callback, args, self, context)\n","super().__init__(callback, args, loop, context)\n","def __init__(self, callback, args, loop, context=None):\n","return self._when &lt; other._when\n","def _gc_callback(self, phase, info):\n","return _abc_instancecheck(cls, instance)\n","def __subclasscheck__(cls, subclass):\n","math.floor((current_time - self._next_timeout) / callback_time_sec) + 1\n","level, ts, sat, thief, duration, cost_multiplier\n","s.check_idle_saturated(sat, occ=occ_sat)\n","def _gc_callback(self, phase, info):\n","dict.__setitem__(self, key, value)\n","self.scheduler.stream_comms[victim.address].send(\n","self.log((\"remove-stealable\", ts.key, worker, level))\n","return self.scheduler.log_event(\"stealing\", msg)\n","if self.comm is not None and self.comm.closed():\n","return self._ep is None\n","if self.isEnabledFor(DEBUG):\n","def _gc_callback(self, phase, info):\n","return ws.occupancy + self.in_flight_occupancy[ws]\n","def pop(self, key, default=__not_given):\n","ts.host_restrictions or ts.worker_restrictions or ts.resource_restrictions\n","return ws.occupancy + self.in_flight_occupancy[ws]\n","def _gc_callback(self, phase, info):\n","next(self.gen)\n","diff = now - self._last_tick\n","pt2 = self._proc.cpu_times()\n","return fun(self, *args, **kwargs)\n","values = self._parse_stat_file()\n","return fun(self, *args, **kwargs)\n","return fun(self)\n","with open_binary(\"%s/%s/stat\" % (self._procfs_path, self.pid)) as f:\n","return open(fname, \"rb\", **kwargs)\n","def cpu_count(logical=True):\n","result.set_exception(TimeoutError(\"Timeout\"))\n","handle = self._call_soon(callback, args, context)\n","self._ready.append(handle)\n","if self._loop.get_debug():\n","return self._debug\n","def _check_closed(self):\n","return dispatch(args[0].__class__)(*args, **kw)\n","return _wrap_awaitable(yielded)  # type: ignore\n","if coroutines.iscoroutine(coro_or_future):\n","if type(obj) in _iscoroutine_typecache:\n","task = tasks.Task(coro, loop=self)\n","handle = self._call_soon(callback, args, context)\n","handle = events.Handle(callback, args, self, context)\n","def __init__(self, callback, args, loop, context=None):\n","def add(self, item):\n","def get_debug(self):\n","return (isinstance(object, types.CoroutineType) or\n","return isinstance(x, FUTURES)\n","impl = dispatch_cache[cls]\n","return self.data[ref(key)]\n","duration, lambda: future_set_result_unless_cancelled(f, None)\n","future.set_result(value)\n","def call_soon(self, callback, *args, context=None):\n","handle = events.Handle(callback, args, self, context)\n","self._cancelled = False\n","cost_multiplier, level = self.steal_time_ratio(ts)\n","compute_time = ws.processing[ts]\n","def remove_key_from_stealable(self, ts):\n","return self.scheduler.log_event(\"stealing\", msg)\n","def _gc_callback(self, phase, info):\n","def pop(self, key, default=__not_given):\n","def __setitem__(self, key, value):\n","def _gc_callback(self, phase, info):\n","lambda f: self._run_callback(functools.partial(callback, future))\n","","self._loop.call_later(self._period / 1000.0, lambda: f.set_result(None))\n","def call_soon(self, callback, *args, context=None):\n","await self.event_loop.sock_recv(self.rsock, 1)\n","self._sock_recv(fut, None, sock, n)\n","data = sock.recv(n)\n","def _check_ssl_socket(sock):\n","return futures.Future(loop=self)\n","def get_debug(self):\n","return func(*args, **kwds)\n","@wraps(func)\n","self.gen = func(*args, **kwds)\n","libnvtx_push_range(self.attributes, self.domain.handle)\n","try:\n","def _cb_func(request, exception, event_loop, future):\n","self._check_closed()\n","self._ready.append(handle)\n","self._loop = loop\n","@property\n","libnvtx_pop_range(self.domain.handle)\n","del self.args, self.kwds, self.func\n","return self in self._registry\n","seed = os.urandom(16)\n","await cb_coroutine(cls(existing_ep, tag))\n","return\n","self.default_exception_handler(context)\n","logger.error('\\n'.join(log_lines), exc_info=exc_info)\n","self._log(ERROR, msg, args, **kwargs)\n","self.handle(record)\n","self.callHandlers(record)\n","lastResort.handle(record)\n","self.emit(record)\n","msg = self.format(record)\n","return fmt.format(record)\n","record.exc_text = self.formatException(record.exc_info)\n","traceback.print_exception(ei[0], ei[1], tb, None, sio)\n","type(value), value, tb, limit=limit).format(chain=chain):\n","self._load_lines()\n","self._load_lines()\n","return result\n","cache.pop(filename, None)\n","linecache.checkcache(filename)\n","stat = os.stat(fullname)\n","msg = await comm.read()\n","allow_offload=self.allow_offload,\n","res = _from_frames()\n","frames, deserialize=deserialize, deserializers=deserializers\n","msg = loads_msgpack(small_header, small_payload)\n","payload, object_hook=msgpack_decode_default, use_list=False, **msgpack_opts\n","def msgpack_decode_default(obj):\n","await self.handle.ep.recv(buffer, tag=self.tag)\n","type(buffer.obj),\n","ep=ep,\n","req = func(*args, **kwargs)\n","return _GeneratorContextManager(func, args, kwds)\n","doc = getattr(func, \"__doc__\", None)\n","h = hashlib.sha1(bytes(repr(args), \"utf-8\")).hexdigest()[:16]\n","return self._ep is None or not self._ep.initialized\n","@wraps(func)\n","libnvtx_pop_range(self.domain.handle)\n","return next(self.gen)\n","from .comm import CommClosedError\n","","host_array = lambda n: numpy.empty((n,), dtype=\"u1\")\n","if len(each_frame) &gt; 0\n","def closed(self):\n","with log_errors():\n","del self.args, self.kwds, self.func\n","def __exit__(self, type, value, traceback):\n","await self.handle.ep.send(buffer, tag=self.tag)\n","buffer = Array(buffer)\n","event_loop, ucx_api.tag_send_nb, ep, buffer, nbytes, tag, name=name\n","ret = event_loop.create_future()\n","return futures.Future(loop=self)\n","def get_debug(self):\n","h = hashlib.sha1(bytes(repr(args), \"utf-8\")).hexdigest()[:16]\n","return func(*args, **kwds)\n","libnvtx_pop_range(self.domain.handle)\n","return _to_frames()\n","msg, serializers=serializers, on_error=on_error, context=context\n","msg, data, bytestrings = extract_serialize(msg)\n","_extract_serialize(x_items, x2, ser, bytestrings, path)\n","_extract_serialize(v_items, v2, ser, bytestrings, path_k)\n","_extract_serialize(v_items, v2, ser, bytestrings, path_k)\n","_extract_serialize(v_items, v2, ser, bytestrings, path_k)\n","_extract_serialize(v_items, v2, ser, bytestrings, path_k)\n","for k, v in x_items:\n","def _gc_callback(self, phase, info):\n","fmt, payload = maybe_compress(payload, compression=compression)\n","if not compression:\n","return Packer(**kwargs).pack(o)\n","return _GeneratorContextManager(func, args, kwds)\n","def __init__(self, func, args, kwds):\n","sizes = tuple(nbytes(f) for f in frames)\n","backend = registry.get_backend(scheme)\n","return unparse_host_port(ensure_ip(host), port)\n","if \":\" in host and not host.startswith(\"[\"):\n","if not sep:\n","return backend.get_address_host(loc)\n","return parse_host_port(loc)[0]\n","host, sep, port = address.partition(\":\")\n","self.components[0][item] += 1\n","yield self._mapping[key]\n","isinstance(object, collections.abc.Awaitable))\n","return _abc_instancecheck(cls, instance)\n","return unparse_address(*parse_address(addr))\n","self._ctx.worker.progress()\n","return func(*args, **kwds)\n","@wraps(func)\n","ep = await ucx_create_endpoint(ip, port)\n","tag = ctypes.c_uint32(uuid.uuid4().int).value\n","return UUID(bytes=os.urandom(16), version=4)\n","endpoint_error_handling=endpoint_error_handling,\n","seed = os.urandom(16)\n","msgs = await comm.read()\n","await self.ep.recv(msg)\n","res = _from_frames()\n","frames, deserialize=deserialize, deserializers=deserializers\n","fs = merge_frames(head, fs)\n","out.append(bytes().join(L))\n","payload, object_hook=msgpack_decode_default, use_list=False, **msgpack_opts\n","def msgpack_decode_default(obj):\n","def _gc_callback(self, phase, info):\n","await self.handle.ep.recv(buffer, tag=self.tag)\n","ret = await comm.tag_recv(self._ep, buffer, nbytes, tag, name=log)\n","ep=ep,\n","event_loop = event_loop if event_loop else asyncio.get_event_loop()\n","return _GeneratorContextManager(func, args, kwds)\n","self.gen = func(*args, **kwds)\n","def _gc_callback(self, phase, info):\n","return futures.Future(loop=self)\n","def get_debug(self):\n","del self.args, self.kwds, self.func\n","def _cb_func(request, exception, event_loop, future):\n","next(self.gen)\n","def _gc_callback(self, phase, info):\n","yield\n","def _gc_callback(self, phase, info):\n","return self._ep.handle\n","return int(h, 16)\n","return self._ep is None or not self._ep.initialized\n","@property\n","def debug(self, msg, *args, **kwargs):\n","return func(*args, **kwds)\n","libnvtx_pop_range(self.domain.handle)\n","def _gc_callback(self, phase, info):\n","def __enter__(self):\n","return _GeneratorContextManager(func, args, kwds)\n","self.gen = func(*args, **kwds)\n","if type is None:\n","if len(each_frame) &gt; 0\n","host_array = lambda n: numpy.empty((n,), dtype=\"u1\")\n","return next(self.gen)\n","try:\n","","","for is_cuda, each_size in zip(cuda_frames, sizes)\n","host_array = lambda n: numpy.empty((n,), dtype=\"u1\")\n","return self._ep\n","dumped_hlg, object_hook=msgpack_decode_default, use_list=False, **msgpack_opts\n","return obj\n","def __init__(self, header, frames):\n","def _gc_callback(self, phase, info):\n","def _gc_callback(self, phase, info):\n","dsk.update(state[\"dsk\"])\n","def _gc_callback(self, phase, info):\n","def _remove(item, selfref=ref(self)):\n","return\n","return fun(self)\n","return self._proc.memory_info()\n","return fun(self, *args, **kwargs)\n","with open_binary(\"%s/%s/statm\" % (self._procfs_path, self.pid)) as f:\n","return open(fname, \"rb\", **kwargs)\n","dependents = reverse_dict(dependencies)\n","_add(result[val], k)\n","def _gc_callback(self, phase, info):\n","num_needed[k] = len(v)\n","result[key] = 1 + sum(result[child] for child in dependencies[key])\n","num_needed = {k: len(v) for k, v in dependents.items() if v}\n","num_needed = {k: len(v) for k, v in dependents.items() if v}\n",") = zip(*(result[parent] for parent in dependents[key]))\n","def _gc_callback(self, phase, info):\n","root_nodes = {k for k, v in dependents.items() if not v}\n","init_stack = {\n","if not val\n","def _gc_callback(self, phase, info):\n","partition_keys = {\n","def __lt__(self, other):\n","-total_dependencies[x],  # go where the work is\n","def _gc_callback(self, phase, info):\n","self.obj = obj\n","def _gc_callback(self, phase, info):\n","finish_now = {\n","deps = [x for x in outer_stack_pop() if x not in result]\n","StrComparable(x),\n","def __init__(self, obj):\n","inner_stacks_extend([dep] for dep in deps)\n","def key_split_group(x):\n","if result[0] == \"&lt;\":\n","def __instancecheck__(cls, instance):\n","def update_graph(self, scheduler, dsk=None, keys=None, restrictions=None, **kwargs):\n","def transition(\n","self.key_stealable[ts] = (worker, level)\n","level = int(round(log2(cost_multiplier) + 6))\n","self.log((\"remove-stealable\", ts.key, worker, level))\n","return self.scheduler.log_event(\"stealing\", msg)\n","def pop(self, key, default=__not_given):\n","if self.comm is not None and self.comm.closed():\n","def closed(self):\n","if not self._value:\n","def call_soon(self, callback, *args, context=None):\n","handle = events.Handle(callback, args, self, context)\n","def transition(self, key, start, finish, *args, **kwargs):\n","def values(self):\n","for key in self._mapping:\n","def _gc_callback(self, phase, info):\n","def transition(self, key, start, finish, *args, **kwargs):\n","await __sleep0()\n","yield\n","def closed(self):\n","return asyncio.iscoroutinefunction(f) or gen.is_coroutine_function(f)\n","return (inspect.iscoroutinefunction(func) or\n","object.__code__.co_flags &amp; CO_COROUTINE)\n","return isinstance(object, types.FunctionType)\n","return isinstance(object, types.MethodType)\n","return getattr(func, \"__tornado_coroutine__\", False)\n","def validate_key(k):\n","def debug(self, msg, *args, **kwargs):\n","return self._cache[level]\n","def __setitem__(self, key, value):\n","duration, lambda: future_set_result_unless_cancelled(f, None)\n","return self.call_at(self.time() + delay, callback, *args, **kwargs)\n","functools.partial(callback, *args, **kwargs),\n","context=context)\n","timer = events.TimerHandle(when, callback, args, self, context)\n","super().__init__(callback, args, loop, context)\n","def _gc_callback(self, phase, info):\n","context = contextvars.copy_context()\n","def __lt__(self, other):\n","def _gc_callback(self, phase, info):\n","return time.monotonic()\n","def _gc_callback(self, phase, info):\n","loop = asyncio.get_event_loop()\n","future = Future()  # type: Future\n","def get_debug(self):\n","def _gc_callback(self, phase, info):\n","def _gc_callback(self, phase, info):\n","if threading.get_ident() == self._thread_identity:\n","handle = self._call_soon(callback, args, context)\n","handle = events.Handle(callback, args, self, context)\n","if context is None:\n","def _gc_callback(self, phase, info):\n","def _check_closed(self):\n","def _gc_callback(self, phase, info):\n","self._scheduler_identity = await self.scheduler.identity()\n","result = await send_recv(comm=comm, op=key, **kwargs)\n","response = await comm.read(deserializers=deserializers)\n","await self.ep.recv(each_frame)\n","await self.handle.ep.recv(buffer, tag=self.tag)\n","ret = await comm.tag_recv(self._ep, buffer, nbytes, tag, name=log)\n","ep=ep,\n","req = func(*args, **kwargs)\n","@wraps(func)\n","res = _from_frames()\n","frames, deserialize=deserialize, deserializers=deserializers\n","msg = loads_msgpack(small_header, small_payload)\n","payload, object_hook=msgpack_decode_default, use_list=False, **msgpack_opts\n","def _gc_callback(self, phase, info):\n","def msgpack_decode_default(obj):\n","if comm.closed():\n","fs = futures_of(fs)\n","stack.extend(x.__dask_graph__().values())\n","return [value for _, value in self.items()]\n","return items\n","return\n","future = wait_for({f._state.wait() for f in fs})\n","def _gc_callback(self, phase, info):\n","tasks = gen.WaitIterator(*map(asyncio.ensure_future, args))\n","if coroutines.iscoroutine(coro_or_future):\n","task = tasks.Task(coro, loop=self)\n","handle = self._call_soon(callback, args, context)\n","handle = events.Handle(callback, args, self, context)\n","self._source_traceback = None\n","def _gc_callback(self, phase, info):\n","if self._pending_removals:\n","if type(obj) in _iscoroutine_typecache:\n","self._unfinished = dict((f, i) for (i, f) in enumerate(args))\n","self._unfinished = dict((f, i) for (i, f) in enumerate(args))\n","future.add_done_callback(callback)\n","return\n","self._return_result(self._finished.popleft())\n","self.current_future = done\n","self.data.discard(item)\n","{fu for fu in fs if fu.status != \"pending\"},\n","return self._state.status\n","{fu for fu in fs if fu.status == \"pending\"},\n","return self._state.status\n","await asyncio.wait_for(self._get_event().wait(), timeout)\n","event = self._event = asyncio.Event()\n","self._loop = events.get_event_loop()\n","loop = events.get_event_loop()\n","await fut\n","def _gc_callback(self, phase, info):\n","def _gc_callback(self, phase, info):\n","allow_offload=self.allow_offload,\n","return _to_frames()\n","msg, serializers=serializers, on_error=on_error, context=context\n","msg, data, bytestrings = extract_serialize(msg)\n","_extract_serialize(x_items, x2, ser, bytestrings, path)\n","_extract_serialize(v_items, v2, ser, bytestrings, path_k)\n","_extract_serialize(v_items, v2, ser, bytestrings, path_k)\n","elif typ_v is Serialize or typ_v is Serialized:\n","for k, v in x_items:\n","def _gc_callback(self, phase, info):\n","def _gc_callback(self, phase, info):\n","return Packer(**kwargs).pack(o)\n","payload = msgpack.dumps(msg, default=msgpack_encode_default, use_bin_type=True)\n","return Packer(**kwargs).pack(o)\n","if compression == \"auto\":\n","return next(self.gen)\n","from .comm import CommClosedError\n","","","await self.handle.ep.send(buffer, tag=self.tag)\n","return await comm.tag_send(self._ep, buffer, nbytes, tag, name=log)\n","event_loop, ucx_api.tag_send_nb, ep, buffer, nbytes, tag, name=name\n","req = func(*args, **kwargs)\n","return futures.Future(loop=self)\n","def get_debug(self):\n","return self._ep.handle\n","@property\n","h = hashlib.sha1(bytes(repr(args), \"utf-8\")).hexdigest()[:16]\n","return self._ep is None or not self._ep.initialized\n","@property\n","if self.isEnabledFor(DEBUG):\n","def isEnabledFor(self, level):\n","with self._recreate_cm():\n","def __enter__(self):\n","def __exit__(self, *exc):\n","sizes = tuple(nbytes(f) for f in frames)\n","if isinstance(frame, _bytes_like):\n","hasattr(f, \"__cuda_array_interface__\") for f in frames\n","def _gc_callback(self, phase, info):\n","if len(each_frame) &gt; 0\n","if self._ep is not None:\n","next(self.gen)\n","return _GeneratorContextManager(func, args, kwds)\n","self.__doc__ = doc\n","return self._ep is None\n","worker.progress()\n","return func(*args, **kwds)\n","@wraps(func)\n","def __init__(self, func, args, kwds):\n","if event_loop.is_closed() or future.done():\n","return self._closed\n","handle = self._call_soon(callback, args, context)\n","handle = events.Handle(callback, args, self, context)\n","self._loop = loop\n","def _gc_callback(self, phase, info):\n","def __enter__(self):\n","next(self.gen)\n","yield\n","def __exit__(self, *exc):\n","del self.args, self.kwds, self.func\n","task = tasks.Task(coro, loop=self)\n","handle = self._call_soon(callback, args, context)\n","handle = events.Handle(callback, args, self, context)\n","self._loop = loop\n","def _gc_callback(self, phase, info):\n","def get_debug(self):\n","def add(self, item):\n","return self in self._registry\n","lambda f: self._run_callback(functools.partial(callback, future))\n","ret = callback()\n","self.ctx_run(self.run)\n","yielded = self.gen.send(value)\n","payload = None  # lose ref\n","fut = Future()  # type: Future[None]\n","def get_debug(self):\n","future_add_done_callback(\n","if isinstance(deadline, numbers.Real):\n","return _abc_instancecheck(cls, instance)\n","return _abc_subclasscheck(cls, subclass)\n","def call_at(\n","context=context)\n","timer = events.TimerHandle(when, callback, args, self, context)\n","def __init__(self, when, callback, args, loop, context=None):\n","context = contextvars.copy_context()\n","return self._debug\n","def _gc_callback(self, phase, info):\n","def _gc_callback(self, phase, info):\n","return time.monotonic()\n","def _gc_callback(self, phase, info):\n","return time.time()\n","def copy(future: \"Future[_T]\") -&gt; None:\n","def _gc_callback(self, phase, info):\n","return dispatch(args[0].__class__)(*args, **kw)\n","elif isinstance(yielded, (list, dict)):\n","impl = dispatch_cache[cls]\n","future.add_done_callback(callback)\n","future = Future()  # type: Future\n","def _gc_callback(self, phase, info):\n","def get_debug(self):\n","def _gc_callback(self, phase, info):\n","def _gc_callback(self, phase, info):\n","def _gc_callback(self, phase, info):\n","return time.time()\n","self.future = convert_yielded(yielded)\n","return dispatch(args[0].__class__)(*args, **kw)\n","return _wrap_awaitable(yielded)  # type: ignore\n","loop = events.get_event_loop()\n","task = tasks.Task(coro, loop=self)\n","self.data.add(ref(item, self._remove))\n","def _gc_callback(self, phase, info):\n","def call_soon(self, callback, *args, context=None):\n","def _call_soon(self, callback, args, context):\n","if self._loop.get_debug():\n","def get_debug(self):\n","def _gc_callback(self, phase, info):\n","def _gc_callback(self, phase, info):\n","impl = dispatch_cache[cls]\n","return self.data[ref(key)]\n","def _gc_callback(self, phase, info):\n","lambda f: self._run_callback(functools.partial(callback, future))\n","def _gc_callback(self, phase, info):\n","def _gc_callback(self, phase, info):\n","self._loop.add_future(invoke(), on_done)\n","sleep_future = self.sleep()\n","self._loop.call_later(self._period / 1000.0, lambda: f.set_result(None))\n","return self.call_at(self.time() + delay, callback, *args, **kwargs)\n","functools.partial(callback, *args, **kwargs),\n","context=context)\n","heapq.heappush(self._scheduled, timer)\n","def __lt__(self, other):\n","return time.monotonic()\n","return time.time()\n","return multi_future(children, quiet_exceptions=quiet_exceptions)\n","def _gc_callback(self, phase, info):\n","children_futs = list(map(convert_yielded, children_seq))\n","def _gc_callback(self, phase, info):\n","def wrapper(*args, **kw):\n","elif yielded is _null_future:\n","return self.with_document_locked(callback, *args, **kwargs)\n","return dispatch(args[0].__class__)(*args, **kw)\n","return _wrap_awaitable(yielded)  # type: ignore\n","task = loop.create_task(coro_or_future)\n","def create_task(self, coro):\n","self.data.add(ref(item, self._remove))\n","def add_future(\n","msgs = await self.scheduler_comm.comm.read()\n","allow_offload=self.allow_offload,\n","res = _from_frames()\n","frames, deserialize=deserialize, deserializers=deserializers\n","msg = loads_msgpack(small_header, small_payload)\n","payload, object_hook=msgpack_decode_default, use_list=False, **msgpack_opts\n","def msgpack_decode_default(obj):\n","await self.handle.ep.recv(buffer, tag=self.tag)\n","tag = hash64bits(self._msg_tag_recv, hash(tag))\n","ep=ep,\n","req = func(*args, **kwargs)\n","def __enter__(self):\n","return _GeneratorContextManager(func, args, kwds)\n","self.gen = func(*args, **kwds)\n","return self._ep.handle\n","return func(*args, **kwds)\n","libnvtx_pop_range(self.domain.handle)\n","for is_cuda, each_size in zip(cuda_frames, sizes)\n","host_array = lambda n: numpy.empty((n,), dtype=\"u1\")\n","host_array = lambda n: numpy.empty((n,), dtype=\"u1\")\n","del self.args, self.kwds, self.func\n","@wraps(func)\n","state = self.futures.get(key)\n","self._get_event().set()\n","if not self._value:\n","def call_soon(self, callback, *args, context=None):\n","handle = events.Handle(callback, args, self, context)\n","event = self._event\n","return pickle.loads(x)\n","isinstance(object, collections.abc.Awaitable))\n","return _abc_instancecheck(cls, instance)\n","if self.isEnabledFor(DEBUG):\n","return self._cache[level]\n","result = func(self, *args, **kwargs)\n","return func(*args, **kwargs)\n","return doc._with_self_as_curdoc(invoke)\n","return f()\n","return f(*args, **kwargs)\n","doc.add_periodic_callback(lambda: update(ref), interval)\n","comp.update()\n","return input_function(*args, **kwargs)\n","self.nbytes_figure.x_range.end = max_limit\n","super().__setattr__(name, value)\n","self._internal_set(obj, value, setter=setter)\n","self._real_set(obj, old, value, hint=hint, setter=setter)\n","return self.wrap(value)\n","return param.transform(value)\n","self._trigger(obj, old, value, hint=hint, setter=setter)\n","obj.trigger(self.name, old, value, hint, setter)\n","def trigger(self, attr, old, new, hint=None, setter=None):\n","self._document._notify_change(self, attr, old, new, hint, setter, invoke)\n","self._trigger_on_change(event)\n","self._with_self_as_curdoc(invoke_callbacks)\n","set_curdoc(old_doc)\n","return curstate().document\n","return _STATE\n","return self._get(obj)\n","return obj._property_values[self.name]\n","if obj is not None:\n","return input_function(*args, **kwargs)\n","if not np or not any(isinstance(v, np.ndarray) for v in source.data.values()):\n","hint = ColumnDataChangedEvent(owner.document, owner, cols=list(cols))\n","def __init__(self, document, column_source, cols=None, setter=None, callback_invoker=None):\n","def _gc_callback(self, phase, info):\n","self._real_set(obj, old, value, hint=hint)\n","if self.property.matches(value, old) and (hint is None):\n","return all(self.matches(new[k], old[k]) for k in new)\n","return all(self.matches(new[k], old[k]) for k in new)\n","return np.array_equal(new, old)\n","","return bool(asarray(a1 == a2).all())\n","return umr_all(a, axis, dtype, out, keepdims)\n","obj.trigger(self.name, old, value, hint, setter)\n","super().trigger(attr, old, new, hint=hint, setter=setter)\n","self._document._notify_change(self, attr, old, new, hint, setter, invoke)\n","self._trigger_on_change(event)\n","def invoke_callbacks():\n","def _gc_callback(self, phase, info):\n","set_curdoc(self)\n","curstate().document = doc\n","return _STATE\n","cb(event)\n","self._callbacks[receiver] = lambda event: event.dispatch(receiver)\n","super().dispatch(receiver)\n","super().dispatch(receiver)\n","def _gc_callback(self, phase, info):\n","from .state import curstate\n","","return _abc_instancecheck(cls, instance)\n","Property._should_validate = self.old\n","return SortedValuesView(self)\n","cpu = [int(ws.metrics[\"cpu\"]) for ws in workers]\n","\"escaped_worker\": [escape.url_escape(ws.address) for ws in workers],\n","return quote(utf8(value))\n","return quote(string, safe, encoding, errors)\n","return quote_from_bytes(string, safe)\n","return ''.join([quoter(char) for char in bs])\n","return ''.join([quoter(char) for char in bs])\n","return next(self.gen)\n","from .comm import CommClosedError\n","","\"worker\": [ws.address for ws in workers],\n","self.source.stream(rectangles, self.n_rectangles)\n","self._stream(new_data, rollover)\n","self.data._stream(self.document, self, new_data, rollover, setter)\n","if self._temp_document is not None:\n","data = np.append(self[k], new_data[k])\n","","return concatenate((arr, values), axis=axis)\n","","","if isinstance(a, np.matrix):\n","def _append_dispatcher(arr, values, axis=None):\n","descriptor._notify_mutated(owner, old, hint=hint)\n","self._real_set(obj, old, value, hint=hint)\n","if self.property.matches(value, old) and (hint is None):\n","return all(self.matches(new[k], old[k]) for k in new)\n","return all(self.matches(new[k], old[k]) for k in new)\n","return np.array_equal(new, old)\n","","return bool(asarray(a1 == a2).all())\n","return self._get(obj)\n","def _gc_callback(self, phase, info):\n","return rectangles(msgs, workers=workers, start_boundary=start_boundary)\n","worker_thread = \"%s-%d\" % (msg[\"worker\"], msg[\"thread\"])\n","return \"%.2f us\" % (n * 1e6)\n","result += \"-\" + word\n","def _gc_callback(self, phase, info):\n","return color_of(split)\n","rectangles[\"start\"] = [x - self.offset for x in rectangles[\"start\"]]\n","def __instancecheck__(cls, instance):\n","with log_errors():\n","return _GeneratorContextManager(func, args, kwds)\n","self.gen = func(*args, **kwds)\n","def _gc_callback(self, phase, info):\n","return input_function(*args, **kwargs)\n","if not np or not any(isinstance(v, np.ndarray) for v in source.data.values()):\n","def __get__(self, obj, owner):\n","descriptor._notify_mutated(owner, old, hint=hint)\n","self._real_set(obj, old, value, hint=hint)\n","old_attr_value = obj._property_values[self.name]\n","obj.trigger(self.name, old, value, hint, setter)\n","super().trigger(attr, old, new, hint=hint, setter=setter)\n","self._document._notify_change(self, attr, old, new, hint, setter, invoke)\n","self._trigger_on_change(event)\n","self._with_self_as_curdoc(invoke_callbacks)\n","return f()\n","for cb in self._callbacks.values():\n","def _gc_callback(self, phase, info):\n","def matches(self, new, old):\n","result = fn(obj, value)\n",").asserts(lambda _, data: len({len(x) for x in data.values()}) &lt;= 1,\n",").asserts(lambda _, data: len({len(x) for x in data.values()}) &lt;= 1,\n","props = sorted(self.properties())\n","return accumulate_from_superclasses(cls, \"__properties__\")\n","self._internal_set(obj, value, setter=setter)\n","self._real_set(obj, old, value, hint=hint, setter=setter)\n","self._trigger(obj, old, value, hint=hint, setter=setter)\n","obj.trigger(self.name, old, value, hint, setter)\n","if dirty['count'] &gt; 0:\n","if isinstance(new, np.ndarray) or isinstance(old, np.ndarray):\n","def _gc_callback(self, phase, info):\n","d[\"erred-loc\"] = []\n","return\n","def __instancecheck__(cls, instance):\n","def __enter__(self):\n","Property._should_validate = self.old\n","from .state import curstate\n","","","return self._block.acquire(timeout)\n","waiter.set_result(_ReleasingContextManager(self))\n","self._obj = obj\n","isinstance(object, collections.abc.Awaitable))\n","future_converted, lambda future: io_loop.remove_timeout(timeout_handle)\n","timeout.cancel()  # type: ignore\n","super().cancel()\n","def _timer_handle_cancelled(self, handle):\n","self._args = None\n","lambda tf: fut.cancel() if not fut.done() else None\n","handle = self._call_soon(callback, args, context)\n","handle = events.Handle(callback, args, self, context)\n","def _gc_callback(self, phase, info):\n","def __init__(self, callback, args, loop, context=None):\n","return self._debug\n","def call_soon(self, callback, *args, context=None):\n","handle = events.Handle(callback, args, self, context)\n","def __init__(self, callback, args, loop, context=None):\n","if self._closed:\n","new_victim = sum(victim.processing.values())\n","def send(self, msg):\n","def __setitem__(self, key, value):\n","if default is self.__not_given:\n","if self.isEnabledFor(DEBUG):\n","cost_multiplier, level = self.steal_time_ratio(ts)\n","transfer_time = nbytes / self.scheduler.bandwidth + LATENCY\n","return self.scheduler.log_event(\"stealing\", msg)\n","future.result()\n","fut.add_done_callback(lambda fut: self._waiters.remove(fut))\n","def copy(future: \"Future[_T]\") -&gt; None:\n","self.data.discard(item)\n","max_ev = max(len(self._fd_to_key), 1)\n","return\n","yield self.waker.wait(self.next_deadline)\n","pass\n","return await comm.tag_send(self._ep, buffer, nbytes, tag, name=log)\n","event_loop, ucx_api.tag_send_nb, ep, buffer, nbytes, tag, name=name\n","return ret\n","return _to_frames()\n","msg, serializers=serializers, on_error=on_error, context=context\n","return small_header, small_payload\n","return x2, ser, bytestrings\n","x2[k] = v\n","x2[k] = v\n","x2[k] = v\n","return [header_bytes, payload]\n","return Packer(**kwargs).pack(o)\n","return res\n","frames, deserialize=deserialize, deserializers=deserializers\n","return msg\n","payload, object_hook=msgpack_decode_default, use_list=False, **msgpack_opts\n","return\n","await asyncio.sleep(0)\n","self.in_flight.pop(ts, None)\n","self.unblock_expiration()\n","return func(*args, **kwargs)\n","return doc._with_self_as_curdoc(invoke)\n","set_curdoc(old_doc)\n","return f(*args, **kwargs)\n","doc.add_periodic_callback(lambda: update(ref), interval)\n","comp.update()\n","return input_function(*args, **kwargs)\n","self.source.stream(rectangles, self.n_rectangles)\n","self._stream(new_data, rollover)\n","self.data._stream(self.document, self, new_data, rollover, setter)\n","hint=ColumnsStreamedEvent(doc, source, new_data, rollover, setter))\n","","return concatenate((arr, values), axis=axis)\n","","return ret\n","ep=ep,\n","return ret\n","return _GeneratorContextManager(func, args, kwds)\n","raise CommClosedError(\"While writing, the connection was closed\")\n","return False\n","await self.ep.recv(msg)\n","host_array = lambda n: numpy.empty((n,), 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&lt;li&gt; Workers: 16 &lt;/li&gt;\n          &lt;li&gt; Threads: 16 &lt;/li&gt;\n          &lt;li&gt; Memory: 1.62 TB &lt;/li&gt;\n          &lt;li&gt; Dask Version: 2020.12.0+29.g76a4f536 &lt;/li&gt;\n          &lt;li&gt; Dask.Distributed Version: 2020.12.0+17.g49e19c01 &lt;/li&gt;\n        &lt;/ul&gt;\n\n        &lt;h2&gt; Calling Code &lt;/h2&gt;\n        &lt;pre&gt;\nfrom dask.datasets import timeseries\nimport time\nfrom dask.dataframe.shuffle import shuffle\nfrom dask.distributed import Client, wait, performance_report\n\nfrom dask_cuda import LocalCUDACluster\nfrom dask.distributed import Client\n\nfrom dask_cuda.initialize import initialize\nimport cudf\n\nif __name__ == \"__main__\":\n    # client = Client()\n    # ON/OFF settings for various devices\n    enable_tcp_over_ucx = True\n    enable_infiniband = False\n    enable_nvlink = True\n\n    # initialize client with the same settings as workers\n    initialize(\n        create_cuda_context=True,\n        enable_tcp_over_ucx=enable_tcp_over_ucx,\n        enable_infiniband=enable_infiniband,\n        enable_nvlink=enable_nvlink,\n    )\n\n    cluster = LocalCUDACluster(\n        interface=\"ib0\",  # Ethernet interface\n        protocol=\"ucx\",\n        enable_tcp_over_ucx=enable_tcp_over_ucx,\n        enable_infiniband=enable_infiniband,\n        enable_nvlink=enable_nvlink,\n        device_memory_limit=\"25GB\", rmm_pool_size=\"30GB\",\n    )\n    client = Client(cluster)\n\n    ddf_h = timeseries(start='2000-01-01', end='2000-02-01', partition_freq='1min')\n    ddf_h = ddf_h.map_partitions(cudf.from_pandas)\n    ddf_h = ddf_h.persist()\n    print(ddf_h)\n    _  = wait(ddf_h)\n    foo = ddf_h.memory_usage(deep=True).persist()\n    _ = wait(foo)\n    time.sleep(3)\n    with performance_report(filename=f\"big-shuffle.html\"):\n        result = shuffle(ddf_h, \"id\", shuffle=\"tasks\")\n        print(result)\n        ddf = client.persist(result)\n        _ = wait(ddf)\n    time.sleep(0.5)\n\n        &lt;/pre&gt;\n        "},"id":"1534","type":"Div"},{"attributes":{"text":"Task 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= _main(fd)\n","return self._bootstrap()\n","self.run()\n","self._target(*self._args, **self._kwargs)\n","target(*args, **kwargs)\n","loop.run_sync(run)\n","self.start()\n","self.asyncio_loop.run_forever()\n","self._run_once()\n","handle._run()\n","self._context.run(self._callback, *self._args)\n","memory = proc.memory_info().rss\n","return fun(self)\n","return self._proc.memory_info()\n","return fun(self, *args, **kwargs)\n","with open_binary(\"%s/%s/statm\" % (self._procfs_path, self.pid)) as f:\n","return open(fname, \"rb\", **kwargs)\n","ret = callback()\n","return self.callback()\n","cpu = self.proc.cpu_percent()\n","pt2 = self._proc.cpu_times()\n","return fun(self, *args, **kwargs)\n","values = self._parse_stat_file()\n","return fun(self, *args, **kwargs)\n","ret = self._cache[fun] = fun(self)\n","with open_binary(\"%s/%s/stat\" % (self._procfs_path, self.pid)) as f:\n","return open(fname, \"rb\", **kwargs)\n","return ret\n","return os.sysconf(\"SC_NPROCESSORS_ONLN\")\n","ret = self._cache[fun] = fun(self)\n","return self._proc.memory_info()\n","return fun(self, *args, **kwargs)\n","with open_binary(\"%s/%s/statm\" % (self._procfs_path, self.pid)) as f:\n","return open(fname, \"rb\", **kwargs)\n","rawdict = _psplatform.net_io_counters()\n","lines = f.readlines()\n","return open(fname, \"rt\", **kwargs)\n","return self._proc.num_fds()\n","return fun(self, *args, **kwargs)\n","return len(os.listdir(\"%s/%s/fd\" % (self._procfs_path, self.pid)))\n","frame, True, self.profile_recent, stop=\"distributed/worker.py\"\n","state = process(prev, frame, state, stop=stop)\n","state = process(prev, frame, state, stop=stop)\n","\"description\": info_frame(frame),\n","line = linecache.getline(co.co_filename, frame.f_lineno, frame.f_globals).lstrip()\n","lines = getlines(filename, module_globals)\n","return updatecache(filename, module_globals)\n","stat = os.stat(fullname)\n","buffer = _builtin_open(filename, 'rb')\n","state = process(prev, frame, state, stop=stop)\n","state = process(prev, frame, state, stop=stop)\n","state = process(prev, frame, state, stop=stop)\n","state = process(prev, frame, state, stop=stop)\n","\"description\": info_frame(frame),\n","line = linecache.getline(co.co_filename, frame.f_lineno, frame.f_globals).lstrip()\n","lines = getlines(filename, module_globals)\n","return updatecache(filename, module_globals)\n","with tokenize.open(fullname) as fp:\n","buffer = _builtin_open(filename, 'rb')\n","line = linecache.getline(co.co_filename, frame.f_lineno, frame.f_globals).lstrip()\n","lines = getlines(filename, module_globals)\n","return updatecache(filename, module_globals)\n","with tokenize.open(fullname) as fp:\n","buffer = _builtin_open(filename, 'rb')\n","line = linecache.getline(co.co_filename, frame.f_lineno, frame.f_globals).lstrip()\n","lines = getlines(filename, module_globals)\n","return updatecache(filename, module_globals)\n","stat = os.stat(fullname)\n","line = linecache.getline(co.co_filename, frame.f_lineno, frame.f_globals).lstrip()\n","lines = getlines(filename, module_globals)\n","return updatecache(filename, module_globals)\n","with tokenize.open(fullname) as fp:\n","buffer = _builtin_open(filename, 'rb')\n","first = read_or_stop()\n","return readline()\n","line = linecache.getline(co.co_filename, frame.f_lineno, frame.f_globals).lstrip()\n","lines = getlines(filename, module_globals)\n","return updatecache(filename, module_globals)\n","stat = os.stat(fullname)\n","buffer = _builtin_open(filename, 'rb')\n","line = linecache.getline(co.co_filename, frame.f_lineno, frame.f_globals).lstrip()\n","lines = getlines(filename, module_globals)\n","return updatecache(filename, module_globals)\n","stat = os.stat(fullname)\n","buffer = _builtin_open(filename, 'rb')\n","first = read_or_stop()\n","return readline()\n","line = linecache.getline(co.co_filename, frame.f_lineno, frame.f_globals).lstrip()\n","lines = getlines(filename, module_globals)\n","return updatecache(filename, module_globals)\n","with tokenize.open(fullname) as fp:\n","buffer = _builtin_open(filename, 'rb')\n","self._timeout = self.io_loop.add_timeout(self._next_timeout, self._run)\n","if isinstance(deadline, numbers.Real):\n","def __instancecheck__(cls, instance):\n","return _abc_subclasscheck(cls, subclass)\n","functools.partial(callback, *args, **kwargs),\n","if timer._source_traceback:\n","heapq.heappush(self._scheduled, timer)\n","def __lt__(self, other):\n","def __init__(self, when, callback, args, loop, context=None):\n","part = {k: v * frac for k, v in self.components[i].items()}\n","part = {k: v * frac for k, v in self.components[i].items()}\n","return dispatch(args[0].__class__)(*args, **kw)\n","return _wrap_awaitable(yielded)  # type: ignore\n","return task\n","return task\n","self.data.add(ref(item, self._remove))\n","return handle\n","return handle\n","self._source_traceback = None\n","lambda f: self._run_callback(functools.partial(callback, future))\n","def _gc_callback(self, phase, info):\n","self.ctx_run(self.run)\n","self.result_future, _value_from_stopiteration(e)\n","future.set_result(value)\n","info[\"uncollectable\"],\n","handle = self._call_soon(callback, args, context)\n","handle = events.Handle(callback, args, self, context)\n","def _gc_callback(self, phase, info):\n","comm, every_cycle=[self.ensure_communicating, self.ensure_computing]\n","msgs = await comm.read()\n","allow_offload=self.allow_offload,\n","res = _from_frames()\n","frames, deserialize=deserialize, deserializers=deserializers\n","msg = loads_msgpack(small_header, small_payload)\n","payload, object_hook=msgpack_decode_default, use_list=False, **msgpack_opts\n","def msgpack_decode_default(obj):\n","def _gc_callback(self, phase, info):\n","return fun(self)\n","return self._proc.memory_info()\n","return fun(self, *args, **kwargs)\n","with open_binary(\"%s/%s/statm\" % (self._procfs_path, self.pid)) as f:\n","return open(fname, \"rb\", **kwargs)\n","def _gc_callback(self, phase, info):\n","return loads(header, frames)\n","return loads(header, frames)\n","return Serializable.host_deserialize(header, frames)\n","for c, f in zip(header[\"is-cuda\"], map(memoryview, frames))\n","for c, f in zip(header[\"is-cuda\"], map(memoryview, frames))\n","obj = typ.deserialize(header, frames)\n","columns = column.deserialize_columns(header[\"columns\"], column_frames)\n","colobj = col_typ.deserialize(meta, frames[:col_frame_count])\n","return build_column(data=data, dtype=dtype, mask=mask)\n","dtype = pd.api.types.pandas_dtype(dtype)\n","result = registry.find(dtype)\n","return dtype_type.construct_from_string(dtype)\n","raise TypeError(f\"Cannot construct a 'CategoricalDtype' from '{string}'\")\n","def _gc_callback(self, phase, info):\n","register = self._lazy.pop(toplevel)\n","return _GeneratorContextManager(func, args, kwds)\n","def __init__(self, func, args, kwds):\n","host_array = lambda n: numpy.empty((n,), dtype=\"u1\")\n","await self.handle.ep.recv(buffer, tag=self.tag)\n","ret = await comm.tag_recv(self._ep, buffer, nbytes, tag, name=log)\n","h = hashlib.sha1(bytes(repr(args), \"utf-8\")).hexdigest()[:16]\n","ep=ep,\n","req = func(*args, **kwargs)\n","@wraps(func)\n","return next(self.gen)\n","@contextlib.contextmanager\n","next(self.gen)\n","if self.isEnabledFor(DEBUG):\n","return self._cache[level]\n","def _gc_callback(self, phase, info):\n","with self._recreate_cm():\n","for is_cuda, each_size in zip(cuda_frames, sizes)\n","host_array = lambda n: numpy.empty((n,), dtype=\"u1\")\n","return next(self.gen)\n","from .comm import CommClosedError\n","","self.transition(ts, \"ready\")\n","state = func(ts, **kwargs)\n","heapq.heappush(self.ready, (ts.priority, ts.key))\n","def _notify_plugins(self, method_name, *args, **kwargs):\n","def _gc_callback(self, phase, info):\n","self.waiting_for_data = set()\n","def _gc_callback(self, phase, info):\n","return fun(self)\n","return self._proc.memory_info()\n","return fun(self, *args, **kwargs)\n","[int(x) * PAGESIZE for x in f.readline().split()[:7]]\n","return open(fname, \"rb\", **kwargs)\n","def _gc_callback(self, phase, info):\n","return fun(self)\n","return self._proc.memory_info()\n","return fun(self, *args, **kwargs)\n","[int(x) * PAGESIZE for x in f.readline().split()[:7]]\n","return open(fname, \"rb\", **kwargs)\n","def __contains__(self, key):\n","if key in self.device_keys:\n","return key in self.fast or key in self.slow\n","return key in self.d\n","def __contains__(self, key):\n","def __contains__(self, key):\n","def _gc_callback(self, phase, info):\n","return fun(self)\n","return self._proc.memory_info()\n","return fun(self, *args, **kwargs)\n","with open_binary(\"%s/%s/statm\" % (self._procfs_path, self.pid)) as f:\n","return open(fname, \"rb\", **kwargs)\n","def _gc_callback(self, phase, info):\n","","def _gc_callback(self, phase, info):\n","return fun(self)\n","return self._proc.memory_info()\n","return fun(self, *args, **kwargs)\n","with open_binary(\"%s/%s/statm\" % (self._procfs_path, self.pid)) as f:\n","return open(fname, \"rb\", **kwargs)\n","self.release_key(key)\n","del self.data[key]\n","del self.device_buffer[key]\n","del self.fast[key]\n","del self.heap[key]\n","self._swap(wrapper[2], parent[2])\n","h[i], h[j] = h[j], h[i]\n","self._min_heapify(0)\n","if low == i:\n","h = self.heap\n","def __contains__(self, key):\n","self[key]\n","return self.device_buffer[key]\n","return self.fast[key]\n","self.heap[key] = self.i\n","self.pop(key)\n","del self[key]\n","self.popitem()\n","self._min_heapify(0)\n","if r &lt; n and h[r][0] &lt; h[low][0]:\n","h = self.heap\n","h[i][2] = i\n","return self.d[key][0]\n","parent = (i - 1) &gt;&gt; 1\n","return len(self.d)\n","return key in self.d\n","self.who_has = set()\n","def _gc_callback(self, phase, info):\n","if hasattr(plugin, method_name):\n","def debug(self, msg, *args, **kwargs):\n","return self._cache[level]\n","return asyncio.iscoroutinefunction(f) or gen.is_coroutine_function(f)\n","getattr(func, '_is_coroutine', None) is _is_coroutine)\n","return bool((isfunction(object) or ismethod(object)) and\n","return isinstance(object, types.MethodType)\n","return isinstance(object, types.FunctionType)\n","def is_coroutine_function(func: Any) -&gt; bool:\n","self.release_key(key)\n","self.release_key(dependency.key)\n","ts = self.tasks.get(key, TaskState(key=key))\n","self.waiting_for_data = set()\n","def _gc_callback(self, phase, info):\n","self.buffer.append(msg)\n","if not self._value:\n","def closed(self):\n","if hasattr(plugin, method_name):\n","self[key]\n","elif key in self.host_buffer:\n","return key in self.fast or key in self.slow\n","def __contains__(self, key):\n","return key in self.d\n","def __contains__(self, key):\n","for name, plugin in self.plugins.items():\n","self.buffer.append(msg)\n","def closed(self):\n","self[key]\n","elif key in self.host_buffer:\n","return key in self.fast or key in self.slow\n","def __contains__(self, key):\n","def __contains__(self, key):\n","return key in self.d\n","self.runspec = runspec\n","self.message_count += 1\n","def closed(self):\n","self.transition(self.tasks[d], \"flight\", worker=worker)\n","state = func(ts, **kwargs)\n","self.in_flight_tasks += 1\n","def _notify_plugins(self, method_name, *args, **kwargs):\n","ts = self.tasks.get(d)\n","nbytes = self.nbytes\n","call_soon(self._run_callback, functools.partial(callback, *args, **kwargs))\n","handle = self._call_soon(callback, args, context)\n","handle = events.Handle(callback, args, self, context)\n","def __init__(self, callback, args, loop, context=None):\n","if delay &lt;= 0:\n","def _gc_callback(self, phase, info):\n","self.transition(ts, \"memory\", value=value)\n","state = func(ts, **kwargs)\n","self.put_key_in_memory(ts, value, transition=False)\n","self.data[ts.key] = value\n","self.device_buffer[key] = value\n","if self.weight(key, value) &lt;= self.n:\n","return sizeof(v)\n","return sizeof(obj)\n","return meth(arg, *args, **kwargs)\n","- 2 * sizeof(list())\n","return meth(arg, *args, **kwargs)\n","map(sizeof, random.sample(seq, samples))\n","return meth(arg, *args, **kwargs)\n","return getsizeof(o)\n","columns = sum(col.__sizeof__() for col in self._data.columns)\n","columns = sum(col.__sizeof__() for col in self._data.columns)\n","self.end_offset - self.start_offset\n","self.base_children[0][self.offset + self.size]\n","return self.element_indexing(arg)\n","return libcudf.copying.get_element(self, index).value\n","self._start_offset = int(self.base_children[0][self.offset])\n","return self.element_indexing(arg)\n","return libcudf.copying.get_element(self, index).value\n","def _gc_callback(self, phase, info):\n","return self._values.__sizeof__()\n","return next(iter(self._data.columns))\n","value = self.func(instance)\n","return tuple(self.values())\n","for key in self._mapping:\n","return self._data.__iter__()\n","def _gc_callback(self, phase, info):\n","weight = self.weight(key, value)\n","return sizeof(v)\n","return sizeof(obj)\n","return meth(arg, *args, **kwargs)\n","- 2 * sizeof(list())\n","return meth(arg, *args, **kwargs)\n","map(sizeof, random.sample(seq, samples))\n","return meth(arg, *args, **kwargs)\n","return getsizeof(o)\n","columns = sum(col.__sizeof__() for col in self._data.columns)\n","columns = sum(col.__sizeof__() for col in self._data.columns)\n","self.end_offset - self.start_offset\n","self._start_offset = int(self.base_children[0][self.offset])\n","return self.element_indexing(arg)\n","return libcudf.copying.get_element(self, index).value\n","self.base_children[0][self.offset + self.size]\n","return self.element_indexing(arg)\n","return libcudf.copying.get_element(self, index).value\n","def _gc_callback(self, phase, info):\n","return self._values.__sizeof__()\n","return next(iter(self._data.columns))\n","value = self.func(instance)\n","return tuple(self.values())\n","for key in self._mapping:\n","return self._data.__iter__()\n","def _gc_callback(self, phase, info):\n","return meth(arg, *args, **kwargs)\n","return any([is_device_object(s) for s in seq.items()])\n","return any([is_device_object(s) for s in seq.items()])\n","return meth(arg, *args, **kwargs)\n","typ_serialized = dumps_function(typ)\n","with _cache_lock:\n","self.transition(self.tasks[d], \"flight\", worker=worker)\n","if self.validate:\n","for name, plugin in self.plugins.items():\n","self.in_flight_tasks += 1\n","if total_bytes + ts.get_nbytes() &gt; self.target_message_size:\n","nbytes = self.nbytes\n","i = self._randbelow(len(seq))\n","call_soon(self._run_callback, functools.partial(callback, *args, **kwargs))\n","handle = self._call_soon(callback, args, context)\n","handle = events.Handle(callback, args, self, context)\n","yielded = ctx_run(next, result)\n","pc.start()\n","self._schedule_next()\n","self._timeout = self.io_loop.add_timeout(self._next_timeout, self._run)\n","return self.call_at(deadline, callback, *args, **kwargs)\n","def _gc_callback(self, phase, info):\n","functools.partial(callback, *args, **kwargs),\n","context=context)\n","def _gc_callback(self, phase, info):\n","timer = events.TimerHandle(when, callback, args, self, context)\n","def _gc_callback(self, phase, info):\n","super().__init__(callback, args, loop, context)\n","rss = self._proc.memory_info().rss\n","return fun(self)\n","return self._proc.memory_info()\n","return fun(self, *args, **kwargs)\n","with open_binary(\"%s/%s/statm\" % (self._procfs_path, self.pid)) as f:\n","return open(fname, \"rb\", **kwargs)\n","def _gc_callback(self, phase, info):\n","def _gc_callback(self, phase, info):\n","self.callback = callback\n","def _gc_callback(self, phase, info):\n","f = _base.Future()\n","self._condition = threading.Condition()\n","info[\"uncollectable\"],\n","self._waiters = _deque()\n","info[\"uncollectable\"],\n","info[\"uncollectable\"],\n","self.not_empty.notify()\n","return self._lock.__exit__(*args)\n","pass\n","return\n","rss = self._proc.memory_info().rss\n","return fun(self)\n","return self._proc.memory_info()\n","return fun(self, *args, **kwargs)\n","with open_binary(\"%s/%s/statm\" % (self._procfs_path, self.pid)) as f:\n","return open(fname, \"rb\", **kwargs)\n","if self.handle_yield(first_yielded):\n","self.io_loop.add_future(self.future, inner)\n","def _gc_callback(self, phase, info):\n","future, lambda f: self.add_callback(callback, future)\n","if future.done():\n","return self._state in [CANCELLED, CANCELLED_AND_NOTIFIED, FINISHED]\n","return\n","def _gc_callback(self, phase, info):\n","ts = self.tasks.get(key)\n","if sizeof(ts.runspec) &gt; OFFLOAD_THRESHOLD:\n","return sizeof(obj)\n","return meth(arg, *args, **kwargs)\n","return getsizeof(seq) + sum(map(sizeof, seq))\n","return meth(arg, *args, **kwargs)\n","return getsizeof(o)\n","return self.device_buffer[key]\n","return self.fast[key]\n","self.heap[key] = self.i\n","self.pop(key)\n","del self[key]\n","self._swap(wrapper[2], parent[2])\n","h[i], h[j] = h[j], h[i]\n","await self.event_loop.sock_recv(self.rsock, 1)\n","self._sock_recv(fut, None, sock, n)\n","data = sock.recv(n)\n","return futures.Future(loop=self)\n","def get_debug(self):\n","if ssl is not None and isinstance(sock, ssl.SSLSocket):\n","return func(*args, **kwds)\n","@wraps(func)\n","self.gen = func(*args, **kwds)\n","libnvtx_pop_range(self.domain.handle)\n","def _cb_func(request, exception, event_loop, future):\n","self._check_closed()\n","if handle._source_traceback:\n","def __init__(self, callback, args, loop, context=None):\n","return self._debug\n","def __exit__(self, type, value, traceback):\n","libnvtx_push_range(self.attributes, self.domain.handle)\n","del self.args, self.kwds, self.func\n","return self in self._registry\n","@property\n","data = self._ssock.recv(4096)\n","self.transition(ts, \"memory\", value=data[d])\n","state = func(ts, **kwargs)\n","self.put_key_in_memory(ts, value)\n","self.data[ts.key] = value\n","self.device_buffer[key] = value\n","if self.weight(key, value) &lt;= self.n:\n","return sizeof(v)\n","return sizeof(obj)\n","return meth(arg, *args, **kwargs)\n","return getsizeof(o)\n","columns = sum(col.__sizeof__() for col in self._data.columns)\n","columns = sum(col.__sizeof__() for col in self._data.columns)\n","self.end_offset - self.start_offset\n","self.base_children[0][self.offset + self.size]\n","return self.element_indexing(arg)\n","return libcudf.copying.get_element(self, index).value\n","type(obj) is cudf.core.dtypes.ListDtype\n","def is_categorical_dtype(obj):\n","def is_struct_dtype(obj):\n","def condition(dtype) -&gt; bool:\n","def _gc_callback(self, phase, info):\n","def __len__(self):\n","return _abc_instancecheck(cls, instance)\n","self._start_offset = int(self.base_children[0][self.offset])\n","return self.element_indexing(arg)\n","return libcudf.copying.get_element(self, index).value\n","n = self.data.size\n","self.ptr = data.ptr\n","def _gc_callback(self, phase, info):\n","def _gc_callback(self, phase, info):\n","value = self.func(instance)\n","return tuple(self.values())\n","yield self._mapping[key]\n","return self._data.__iter__()\n","def _gc_callback(self, phase, info):\n","return self._data[key]\n","return len(self._mapping)\n","return len(self._data)\n","return ValuesView(self)\n","def __init__(self, mapping):\n","def _gc_callback(self, phase, info):\n","return fun(self)\n","return self._proc.memory_info()\n","return fun(self, *args, **kwargs)\n","with open_binary(\"%s/%s/statm\" % (self._procfs_path, self.pid)) as f:\n","return open(fname, \"rb\", **kwargs)\n","return self._values.__sizeof__()\n","n = self.data.size\n","self.ptr = data.ptr\n","return next(iter(self._data.columns))\n","- 2 * sizeof(list())\n","return meth(arg, *args, **kwargs)\n","map(sizeof, random.sample(seq, samples))\n","return meth(arg, *args, **kwargs)\n","return getsizeof(o)\n","columns = sum(col.__sizeof__() for col in self._data.columns)\n","columns = sum(col.__sizeof__() for col in self._data.columns)\n","self.end_offset - self.start_offset\n","self.base_children[0][self.offset + self.size]\n","return self.element_indexing(arg)\n","return libcudf.copying.get_element(self, index).value\n","self._start_offset = int(self.base_children[0][self.offset])\n","return self.element_indexing(arg)\n","return libcudf.copying.get_element(self, index).value\n","def dispatch(self, cls):\n","self.heap[key] = self.i\n","self.heap.append(wrapper)\n","if self.heap[parent][0] &lt; self.heap[i][0]:\n","return len(self.d)\n","return sizeof(v)\n","return sizeof(obj)\n","return meth(arg, *args, **kwargs)\n","return getsizeof(o)\n","columns = sum(col.__sizeof__() for col in self._data.columns)\n","columns = sum(col.__sizeof__() for col in self._data.columns)\n","if self.nullable:\n","if self._cached_sizeof is None:\n","return self._values.__sizeof__()\n","return next(iter(self._data.columns))\n","if self.nullable:\n","rss = self._proc.memory_info().rss\n","- 2 * sizeof(list())\n","return meth(arg, *args, **kwargs)\n","map(sizeof, random.sample(seq, samples))\n","return meth(arg, *args, **kwargs)\n","return getsizeof(o)\n","columns = sum(col.__sizeof__() for col in self._data.columns)\n","columns = sum(col.__sizeof__() for col in self._data.columns)\n","self.end_offset - self.start_offset\n","self._start_offset = int(self.base_children[0][self.offset])\n","return self.element_indexing(arg)\n","return libcudf.copying.get_element(self, index).value\n","self.base_children[0][self.offset + self.size]\n","return self.element_indexing(arg)\n","return libcudf.copying.get_element(self, index).value\n","lk = self._lookup\n","return key in self.d\n","return key in self.fast or key in self.slow\n","return key in self.d\n","def __contains__(self, key):\n","return key in self.d\n","def __call__(self, arg, *args, **kwargs):\n","@is_device_object.register(cudf.DataFrame)\n","impl = lk[cls]\n","self[key]\n","elif key in self.host_buffer:\n","return key in self.fast or key in self.slow\n","def __contains__(self, key):\n","return key in self.d\n","return key in self._keys\n","def _gc_callback(self, phase, info):\n","func = self._transitions[start, finish]\n","for name, plugin in self.plugins.items():\n","def _gc_callback(self, phase, info):\n","if ts.resource_restrictions is not None:\n","if self.next_deadline is None:\n","return self._ep is None\n","fut.set_result(None)\n","handle = self._call_soon(callback, args, context)\n","handle = events.Handle(callback, args, self, context)\n","self._cancelled = False\n","for name, plugin in self.plugins.items():\n","def _gc_callback(self, phase, info):\n","self.put_key_in_memory(ts, value)\n","self.data[ts.key] = value\n","self.device_buffer[key] = value\n","if self.weight(key, value) &lt;= self.n:\n","return sizeof(v)\n","return sizeof(obj)\n","return meth(arg, *args, **kwargs)\n","return getsizeof(o)\n","columns = sum(col.__sizeof__() for col in self._data.columns)\n","columns = sum(col.__sizeof__() for col in self._data.columns)\n","self.end_offset - self.start_offset\n","self.base_children[0][self.offset + self.size]\n","return self.element_indexing(arg)\n","return libcudf.copying.get_element(self, index).value\n","rss = self._proc.memory_info().rss\n","return fun(self)\n","return self._proc.memory_info()\n","return fun(self, *args, **kwargs)\n","with open_binary(\"%s/%s/statm\" % (self._procfs_path, self.pid)) as f:\n","return open(fname, \"rb\", **kwargs)\n","return await retry_operation(_get_data, operation=\"get_data_from_worker\")\n","operation=operation,\n","return await coro()\n","max_connections=max_connections,\n","response = await comm.read(deserializers=deserializers)\n","for is_cuda, each_size in zip(cuda_frames, sizes)\n","for is_cuda, each_size in zip(cuda_frames, sizes)\n","device_array = lambda n: rmm.DeviceBuffer(size=n)\n","host_array = lambda n: numpy.empty((n,), dtype=\"u1\")\n","stream.synchronize()\n","driver.cuStreamSynchronize(self.handle)\n","retcode = libfn(*args)\n","return _runtime.get_or_create_context(devnum)\n","return self._get_or_create_context_uncached(devnum)\n","with driver.get_active_context() as ac:\n","driver.cuCtxGetCurrent(byref(hctx))\n","retcode = libfn(*args)\n","return getattr(self._tls, 'attached_context', None)\n","res = _from_frames()\n","frames, deserialize=deserialize, deserializers=deserializers\n","value = _deserialize(head, fs, deserializers=deserializers)\n","return loads(header, frames)\n","return loads(header, frames)\n","return Serializable.device_deserialize(header, frames)\n","obj = typ.deserialize(header, frames)\n","return cls(dict(zip(column_names, columns)), index=index)\n","return func(*args, **kwds)\n","self._init_from_dict_like(data, index=index, columns=columns)\n","self.insert(i, col_name, data[col_name])\n","return func(*args, **kwds)\n","self._data.insert(name, value, loc=loc)\n","self._clear_cache()\n","self.__delattr__(attr)\n","if not self.multiindex:\n","super().__setitem__(key, value)\n","if len(value) != len(first):\n","def __len__(self):\n","return self.size\n","def as_column(arbitrary, nan_as_null=None, dtype=None, length=None):\n","def __instancecheck__(cls, instance):\n","or np.isscalar(val)\n","or isinstance(element, numbers.Number))\n","def __instancecheck__(cls, instance):\n","return _abc_instancecheck(cls, instance)\n","return _abc_instancecheck(cls, instance)\n","self[key]\n","def _gc_callback(self, phase, info):\n","return self._data[key]\n","def _gc_callback(self, phase, info):\n","return len(self.index)\n","return len(self._values)\n","return next(iter(self._data.columns))\n","value = self.func(instance)\n","return tuple(self.values())\n","for key in self._mapping:\n","return self._data.__iter__()\n","def _gc_callback(self, phase, info):\n","return self._data[key]\n","return len(self._mapping)\n","def __len__(self):\n","def values(self):\n","self._mapping = mapping\n","return self.size\n","return self._index\n","if isinstance(arbitrary, ColumnBase):\n","return _abc_instancecheck(cls, instance)\n","def __len__(self):\n","def __len__(self):\n","return self.size\n","libnvtx_push_range(self.attributes, self.domain.handle)\n","def __exit__(self, *exc):\n","def _recreate_cm(self):\n","kwargs = _setdefault_name(arbitrary, **kwargs)\n","if not hasattr(values, \"name\"):\n","return next(iter(self._data.names))\n","value = self.func(instance)\n","return tuple(self.keys())\n","yield from self._mapping\n","return self._data.__iter__()\n","def _gc_callback(self, phase, info):\n","return fun(self)\n","return self._proc.memory_info()\n","return fun(self, *args, **kwargs)\n","with open_binary(\"%s/%s/statm\" % (self._procfs_path, self.pid)) as f:\n","return open(fname, \"rb\", **kwargs)\n","return len(self._mapping)\n","return len(self._data)\n","return KeysView(self)\n","def __init__(self, mapping):\n","return next(iter(self._data.names))\n","return _abc_instancecheck(cls, instance)\n","for val in data.values()\n","if isinstance(val, (pd.Series, Series))\n","return _abc_instancecheck(cls, instance)\n","def _gc_callback(self, phase, info):\n","return fun(self)\n","return self._proc.memory_info()\n","return fun(self, *args, **kwargs)\n","with open_binary(\"%s/%s/statm\" % (self._procfs_path, self.pid)) as f:\n","return open(fname, \"rb\", **kwargs)\n","def __setattr__(self, key, col):\n","return isinstance(obj, (Sequence, np.ndarray)) and not isinstance(\n","return _abc_instancecheck(cls, instance)\n","self._data = OrderedColumnDict(data)\n","def _gc_callback(self, phase, info):\n","return _abc_instancecheck(cls, instance)\n","def is_dict_like(obj) -&gt; bool:\n","all(hasattr(obj, attr) for attr in dict_like_attrs)\n","def _gc_callback(self, phase, info):\n","return fun(self)\n","return self._proc.memory_info()\n","return fun(self, *args, **kwargs)\n","with open_binary(\"%s/%s/statm\" % (self._procfs_path, self.pid)) as f:\n","return open(fname, \"rb\", **kwargs)\n","return _abc_instancecheck(cls, instance)\n","object.__getattribute__(self, key)\n","def _gc_callback(self, phase, info):\n","return fun(self)\n","return self._proc.memory_info()\n","return fun(self, *args, **kwargs)\n","with open_binary(\"%s/%s/statm\" % (self._procfs_path, self.pid)) as f:\n","return open(fname, \"rb\", **kwargs)\n","def _gc_callback(self, phase, info):\n","return fun(self)\n","return self._proc.memory_info()\n","return fun(self, *args, **kwargs)\n","with open_binary(\"%s/%s/statm\" % (self._procfs_path, self.pid)) as f:\n","return open(fname, \"rb\", **kwargs)\n","def __enter__(self):\n","def _recreate_cm(self):\n","def __exit__(self, *exc):\n","colobj = col_typ.deserialize(meta, frames[:col_frame_count])\n","return build_column(data=data, dtype=dtype, mask=mask)\n","dtype = pd.api.types.pandas_dtype(dtype)\n","if isinstance(dtype, np.ndarray):\n","return dtype_type.construct_from_string(dtype)\n","assert isinstance(cls.name, str), (cls, type(cls.name))\n","def _gc_callback(self, phase, info):\n","match = cls._match.match(string)\n","and (string.startswith(\"period[\") or string.startswith(\"Period[\"))\n","if string.lower() == \"interval\" or cls._match.search(string) is not None:\n","raise TypeError(f\"Cannot construct a 'CategoricalDtype' from '{string}'\")\n","def _gc_callback(self, phase, info):\n","return fun(self)\n","return self._proc.memory_info()\n","return fun(self, *args, **kwargs)\n","[int(x) * PAGESIZE for x in f.readline().split()[:7]]\n","return open(fname, \"rb\", **kwargs)\n","if string.startswith(\"Sparse\"):\n","hash(obj)\n","null_count=null_count,\n","children=children,\n","type(obj) is cudf.core.dtypes.ListDtype\n","or obj is cudf.core.dtypes.StructDtype\n","if isinstance(obj, np.dtype):\n","if header[\"desc\"][\"shape\"] != buf.__cuda_array_interface__[\"shape\"]:\n","\"shape\": (self.size,),\n","self._owner = owner or data._owner\n","children.append(column_type.deserialize(h, [b]))\n","return build_column(data=data, dtype=dtype, mask=mask)\n","null_count=null_count,\n","dtype = np.dtype(dtype)\n","children=children,\n","result = registry.find(dtype)\n","return dtype_type.construct_from_string(dtype)\n","match = cls._match.match(string)\n","assert isinstance(cls.name, str), (cls, type(cls.name))\n","raise TypeError(f\"Cannot construct a 'CategoricalDtype' from '{string}'\")\n","def _gc_callback(self, phase, info):\n","return fun(self)\n","return self._proc.memory_info()\n","return fun(self, *args, **kwargs)\n","[int(x) * PAGESIZE for x in f.readline().split()[:7]]\n","return open(fname, \"rb\", **kwargs)\n","if string.lower() == \"interval\" or cls._match.search(string) is not None:\n","def _gc_callback(self, phase, info):\n","return fun(self)\n","return self._proc.memory_info()\n","return fun(self, *args, **kwargs)\n","[int(x) * PAGESIZE for x in f.readline().split()[:7]]\n","or isinstance(string, BaseOffset)\n","@classmethod\n","hash(obj)\n","or type(obj) is cudf.core.column.ListColumn\n","if isinstance(obj, cudf.CategoricalDtype):\n","type(obj) is cudf.core.dtypes.StructDtype\n","buf = cls(frames[0], **header[\"constructor-kwargs\"])\n","self.ptr = data.ptr\n","def _gc_callback(self, phase, info):\n","return fun(self)\n","return self._proc.memory_info()\n","return fun(self, *args, **kwargs)\n","[int(x) * PAGESIZE for x in f.readline().split()[:7]]\n","\"version\": 0,\n","def _gc_callback(self, phase, info):\n","def _gc_callback(self, phase, info):\n","dtype = pd.api.types.pandas_dtype(dtype)\n","result = registry.find(dtype)\n","return dtype_type.construct_from_string(dtype)\n","msg = f\"Cannot construct a 'DatetimeTZDtype' from '{string}'\"\n","raise TypeError(f\"Cannot construct a '{cls.__name__}' from '{string}'\")\n","@classmethod\n","raise TypeError(msg)\n","or isinstance(string, BaseOffset)\n","raise TypeError(f\"Cannot construct a 'CategoricalDtype' from '{string}'\")\n","def _gc_callback(self, phase, info):\n","hash(obj)\n","children=children,\n","def __init__(\n","super().set_base_children(value)\n","super().set_base_mask(value)\n","super().set_base_data(value)\n","if isinstance(obj, np.dtype):\n","buffers = [Buffer(each_frame) for each_frame in frames]\n","self.ptr = data.ptr\n","def _gc_callback(self, phase, info):\n","def _gc_callback(self, phase, info):\n","return idx_typ(index, name=name)\n","def __new__(\n","super(Index, self).__init__({name: values})\n","if data is None:\n","def __instancecheck__(cls, instance):\n","def __setitem__(self, key, value):\n","if len(self) &gt; 0:\n","def _gc_callback(self, phase, info):\n","if isinstance(arbitrary, ColumnBase):\n","return _abc_instancecheck(cls, instance)\n","def _gc_callback(self, phase, info):\n","def _gc_callback(self, phase, info):\n","def _gc_callback(self, phase, info):\n","return fun(self)\n","return self._proc.memory_info()\n","return fun(self, *args, **kwargs)\n","with open_binary(\"%s/%s/statm\" % (self._procfs_path, self.pid)) as f:\n","return open(fname, \"rb\", **kwargs)\n","return _abc_instancecheck(cls, instance)\n","def _setdefault_name(values, **kwargs):\n","def _gc_callback(self, phase, info):\n","if \"name\" not in kwargs or kwargs[\"name\"] is None:\n","rss = self._proc.memory_info().rss\n","return fun(self)\n","return self._proc.memory_info()\n","return fun(self, *args, **kwargs)\n","with open_binary(\"%s/%s/statm\" % (self._procfs_path, self.pid)) as f:\n","return open(fname, \"rb\", **kwargs)\n","return build_column(data=data, dtype=dtype, mask=mask)\n","null_count=null_count,\n","def __init__(\n","children=children,\n","result = registry.find(dtype)\n","for dtype_type in self.dtypes:\n","assert isinstance(cls.name, str), (cls, type(cls.name))\n","@classmethod\n","and (string.startswith(\"period[\") or string.startswith(\"Period[\"))\n","raise TypeError(msg)\n","f\"Cannot construct a 'IntervalDtype' from '{string}'.\\n\\n\"\n","raise TypeError(f\"Cannot construct a 'CategoricalDtype' from '{string}'\")\n","def _gc_callback(self, phase, info):\n","def is_hashable(obj) -&gt; bool:\n","if isinstance(obj, np.dtype):\n","buf = cls(frames[0], **header[\"constructor-kwargs\"])\n","self.size = data.size\n","\"version\": 0,\n","def __init__(\n","def _gc_callback(self, phase, info):\n","return fun(self)\n","return self._proc.memory_info()\n","return fun(self, *args, **kwargs)\n","[int(x) * PAGESIZE for x in f.readline().split()[:7]]\n","for c, f in zip(header[\"is-cuda\"], frames)\n","self._init_from_array_like(data, owner)\n","data.__cuda_array_interface__\n","def _buffer_data_from_array_interface(array_interface):\n","def _gc_callback(self, phase, info):\n","itemsize = np.dtype(array_interface[\"typestr\"]).itemsize\n","if ndim == 0 or strides is None or (ndim == 1 and strides[0] == itemsize):\n","def __instancecheck__(cls, instance):\n","def _gc_callback(self, phase, info):\n","for c, f in zip(header[\"is-cuda\"], frames)\n","def _gc_callback(self, phase, info):\n","return next(self.gen)\n","from .comm import CommClosedError\n","","","return _GeneratorContextManager(func, args, kwds)\n","doc = type(self).__doc__\n","next(self.gen)\n","yield\n","return pickle.loads(x)\n","lk = self._lookup\n","return loads(header, frames)\n","return loads(header, frames)\n","return Serializable.device_deserialize(header, frames)\n","obj = typ.deserialize(header, frames)\n","columns = column.deserialize_columns(header[\"columns\"], column_frames)\n","col_frame_count = meta[\"frame_count\"]\n","return build_column(data=data, dtype=dtype, mask=mask)\n","elif is_list_dtype(dtype):\n","or (hasattr(obj, \"dtype\") and is_list_dtype(obj.dtype))\n","result = registry.find(dtype)\n","except TypeError:\n","assert isinstance(cls.name, str), (cls, type(cls.name))\n","if string.lower() == \"interval\" or cls._match.search(string) is not None:\n","buf = cls(frames[0], **header[\"constructor-kwargs\"])\n","children.append(column_type.deserialize(h, [b]))\n","return build_column(data=data, dtype=dtype, mask=mask)\n","null_count=null_count,\n","def __init__(\n","children=children,\n","result = registry.find(dtype)\n","return dtype_type.construct_from_string(dtype)\n","if string.lower() == \"interval\" or cls._match.search(string) is not None:\n","raise TypeError(f\"Cannot construct a '{cls.__name__}' from '{string}'\")\n","raise TypeError(msg)\n","dtype = pd.api.types.pandas_dtype(dtype)\n","result = registry.find(dtype)\n","return dtype_type.construct_from_string(dtype)\n","raise TypeError(f\"Cannot construct a '{cls.__name__}' from '{string}'\")\n","@classmethod\n","children=children,\n","children=children,\n","super().set_base_children(value)\n","index = col_typ.deserialize(h, frames[: header[\"frame_count\"]])\n","return build_column(data=data, dtype=dtype, mask=mask)\n","dtype = pd.api.types.pandas_dtype(dtype)\n","result = registry.find(dtype)\n","return dtype_type.construct_from_string(dtype)\n","match = cls._match.match(string)\n","raise TypeError(f\"Cannot construct a '{cls.__name__}' from '{string}'\")\n","out._initialize(data, **kwargs)\n","super(Index, self).__init__({name: values})\n","self._data = OrderedColumnDict(data)\n","def __setitem__(self, key, value):\n","if \"name\" not in kwargs or kwargs[\"name\"] is None:\n","return func(*args, **kwds)\n","self._init_from_dict_like(data, index=index, columns=columns)\n","self.insert(i, col_name, data[col_name])\n","return func(*args, **kwds)\n","if isinstance(value, (pd.Series, Series)):\n","or isinstance(val, DeviceScalar)\n","self._clear_cache()\n","for attr in cached_properties:\n","super().__setitem__(key, value)\n","def __contains__(self, key):\n","kwargs = _setdefault_name(arbitrary, **kwargs)\n","kwargs.update({\"name\": values.name})\n","@property\n","value = self.func(instance)\n","return tuple(self.keys())\n","return KeysView(self)\n","self._mapping = mapping\n","yield from self._mapping\n","return self._data.__iter__()\n","def _gc_callback(self, phase, info):\n","libnvtx_push_range(self.attributes, self.domain.handle)\n","for c, f in zip(header[\"is-cuda\"], frames)\n","self._init_from_array_like(data, owner)\n","confirm_1d_contiguous(data.__cuda_array_interface__)\n","if not get_c_contiguity(shape, strides, itemsize):\n","ndim = len(shape)\n","(type(f._owner) is rmm.DeviceBuffer)\n","return next(self.gen)\n","from .comm import CommClosedError\n","","def _gc_callback(self, phase, info):\n","return fun(self)\n","return self._proc.memory_info()\n","return fun(self, *args, **kwargs)\n","with open_binary(\"%s/%s/statm\" % (self._procfs_path, self.pid)) as f:\n","return open(fname, \"rb\", **kwargs)\n","for c, frame in zip(header[\"compression\"], frames)\n","compressions[c][\"decompress\"](frame)\n","def _gc_callback(self, phase, info):\n","return fun(self)\n","return self._proc.memory_info()\n","return fun(self, *args, **kwargs)\n","with open_binary(\"%s/%s/statm\" % (self._procfs_path, self.pid)) as f:\n","return open(fname, \"rb\", **kwargs)\n","if not any(hasattr(f, \"__cuda_array_interface__\") for f in fs):\n","holder = reduce(operator.getitem, keys[:-1], coll)\n","return msgpack.loads(\n","def msgpack_decode_default(obj):\n","return frame.nbytes\n","await self.handle.ep.recv(buffer, tag=self.tag)\n","tag = hash64bits(self._msg_tag_recv, hash(tag))\n","h = hashlib.sha1(bytes(repr(args), \"utf-8\")).hexdigest()[:16]\n","ep=ep,\n","req = func(*args, **kwargs)\n","@wraps(func)\n","self.__doc__ = doc\n","def _cb_func(request, exception, event_loop, future):\n","def is_closed(self):\n","del self.args, self.kwds, self.func\n","try:\n","return futures.Future(loop=self)\n","def get_debug(self):\n","def __exit__(self, type, value, traceback):\n","yield\n","return self._ep is None or not self._ep.initialized\n","return self in self._registry\n","@property\n","@property\n","def debug(self, msg, *args, **kwargs):\n","def isEnabledFor(self, level):\n","with self._recreate_cm():\n","libnvtx_push_range(self.attributes, self.domain.handle)\n","def __exit__(self, *exc):\n","def _recreate_cm(self):\n","if self._ep is not None:\n","if len(each_frame) &gt; 0\n","def _gc_callback(self, phase, info):\n","return next(self.gen)\n","from .comm import CommClosedError\n","","next(self.gen)\n","def _gc_callback(self, phase, info):\n","return fun(self)\n","return self._proc.memory_info()\n","return fun(self, *args, **kwargs)\n","[int(x) * PAGESIZE for x in f.readline().split()[:7]]\n","host_array = lambda n: numpy.empty((n,), dtype=\"u1\")\n","@wraps(func)\n","raise CommClosedError(\"While writing, the connection was closed\")\n","next(self.gen)\n","yield\n","return _to_frames()\n","msg, serializers=serializers, on_error=on_error, context=context\n","small_header, small_payload = dumps_msgpack(msg, **compress_opts)\n","payload = msgpack.dumps(msg, default=msgpack_encode_default, use_bin_type=True)\n","return Packer(**kwargs).pack(o)\n","_extract_serialize(x_items, x2, ser, bytestrings, path)\n","_extract_serialize(v_items, v2, ser, bytestrings, path_k)\n","typ_v: type = type(v)\n","def _gc_callback(self, phase, info):\n","return meth(arg, *args, **kwargs)\n","- 2 * sizeof(list())\n","return meth(arg, *args, **kwargs)\n","return getsizeof(seq) + sum(map(sizeof, seq))\n","return meth(arg, *args, **kwargs)\n","map(sizeof, random.sample(seq, samples))\n","def _gc_callback(self, phase, info):\n","j = randbelow(n)\n","r = getrandbits(k)\n","def _gc_callback(self, phase, info):\n","return _abc_instancecheck(cls, instance)\n","return meth(arg, *args, **kwargs)\n","return getsizeof(o)\n","def _gc_callback(self, phase, info):\n","def _gc_callback(self, phase, info):\n","await self.handle.ep.send(buffer, tag=self.tag)\n","return await comm.tag_send(self._ep, buffer, nbytes, tag, name=log)\n","event_loop, ucx_api.tag_send_nb, ep, buffer, nbytes, tag, name=name\n","req = func(*args, **kwargs)\n","h = hashlib.sha1(bytes(repr(args), \"utf-8\")).hexdigest()[:16]\n","(is_cuda, each_frame)\n","return _GeneratorContextManager(func, args, kwds)\n","self.gen = func(*args, **kwds)\n","def _gc_callback(self, phase, info):\n","@property\n","sizes = tuple(nbytes(f) for f in frames)\n","def _gc_callback(self, phase, info):\n","struct.pack(nframes * \"?\" + nframes * \"Q\", *cuda_frames, *sizes)\n","await self.handle.ep.send(buffer, tag=self.tag)\n","logger.debug(log)\n","if self.isEnabledFor(DEBUG):\n","return self._cache[level]\n","event_loop, ucx_api.tag_send_nb, ep, buffer, nbytes, tag, name=name\n","req = func(*args, **kwargs)\n","return futures.Future(loop=self)\n","return self._debug\n","h = hashlib.sha1(bytes(repr(args), \"utf-8\")).hexdigest()[:16]\n","return self._ep.handle\n","@property\n","return self._ep is None or not self._ep.initialized\n","@property\n","@wraps(func)\n","libnvtx_push_range(self.attributes, self.domain.handle)\n","hasattr(f, \"__cuda_array_interface__\") for f in frames\n","if self._ep is not None:\n","def _to_frames():\n","msg, serializers=serializers, on_error=on_error, context=context\n","small_header, small_payload = dumps_msgpack(msg, **compress_opts)\n","payload = msgpack.dumps(msg, default=msgpack_encode_default, use_bin_type=True)\n","def packb(o, **kwargs):\n","def maybe_compress(\n","meth = self.dispatch(type(arg))\n","return getsizeof(o)\n","impl = lk[cls]\n","sizes = tuple(nbytes(f) for f in frames)\n","def nbytes(frame, _bytes_like=(bytes, bytearray)):\n","return next(self.gen)\n","from .comm import CommClosedError\n","","","def closed(self):\n","next(self.gen)\n","if self.semaphore.locked() and self._n_connecting &gt; 0:\n","return self._value == 0\n","def closed(self):\n","k = canonical_name(k, result)\n","return k\n","n = float(prefix)\n","return _abc_instancecheck(cls, instance)\n","def _gc_callback(self, phase, info):\n","def _gc_callback(self, phase, info):\n","deps_ts = tuple(ts for ts in deps_ts if ts.state == \"flight\")\n","if key in self.tasks\n","if key in self.tasks\n","nbytes = self.nbytes\n","self.transition(self.tasks[d], \"flight\", worker=worker)\n","self.log.append((ts.key, start, state or finish))\n","ts.coming_from = worker\n","def _notify_plugins(self, method_name, *args, **kwargs):\n","def _gc_callback(self, phase, info):\n","return deps, total_bytes\n","return nbytes if nbytes is not None else DEFAULT_DATA_SIZE\n","if self.isEnabledFor(DEBUG):\n","deps = [dep for dep in deps if dep.state == \"waiting\"]\n","return backend.get_address_host(loc)\n","return parse_host_port(loc)[0]\n","return host, int(port)\n","call_soon(self._run_callback, functools.partial(callback, *args, **kwargs))\n","def call_soon(self, callback, *args, context=None):\n","return next(self.gen)\n","from .comm import CommClosedError\n","","","deps = [d.key for d in deps_ts]\n","if key in self.data and not ts.dependents:\n","self[key]\n","raise KeyError(key)\n","def _gc_callback(self, phase, info):\n","self.start_time = None\n","deps_ts = [self.tasks.get(key, None) or TaskState(key) for key in deps]\n","self.startstops = list()\n","def _gc_callback(self, phase, info):\n","priority, key = heapq.heappop(self.ready)\n","function, args, kwargs = _deserialize(*ts.runspec)\n","if task is not no_value:\n","result = cache_loads[bytes_object]\n","value = super().__getitem__(key)\n","return self.data[key]\n","self.components[0][item] += 1\n","d = defaultdict(lambda: 0)\n","next(self.gen)\n","def _gc_callback(self, phase, info):\n","compressed = await comm.write(msg, serializers=serializers)\n","synchronize_stream(0)\n","stream.synchronize()\n","driver.cuStreamSynchronize(self.handle)\n","retcode = libfn(*args)\n","return _runtime.get_or_create_context(devnum)\n","return self._get_or_create_context_uncached(devnum)\n","with driver.get_active_context() as ac:\n","driver.cuCtxGetDevice(byref(hdevice))\n","retcode = libfn(*args)\n","def _check_error(self, fname, retcode):\n","return _ActiveContext()\n","return getattr(self._tls, 'attached_context', None)\n","return _to_frames()\n","msg, serializers=serializers, on_error=on_error, context=context\n","for key, value in data.items()\n","if type(value) is Serialize\n","header, frames = dumps(x, context=context) if wants_context else dumps(x)\n","header, frames = dumps(x)\n","return x.device_serialize()\n","header, frames = self.serialize()\n","column_header, column_frames = column.serialize_columns(self._columns)\n","header_columns = [c.serialize() for c in columns]\n","header_columns = [c.serialize() for c in columns]\n","for item in self.children:\n","null_count=null_count,\n","null_count=null_count,\n","super().__init__(\n","rss = self._proc.memory_info().rss\n","return fun(self)\n","return self._proc.memory_info()\n","return fun(self, *args, **kwargs)\n","with open_binary(\"%s/%s/statm\" % (self._procfs_path, self.pid)) as f:\n","return open(fname, \"rb\", **kwargs)\n","rss = self._proc.memory_info().rss\n","return fun(self)\n","return self._proc.memory_info()\n","return fun(self, *args, **kwargs)\n","with open_binary(\"%s/%s/statm\" % (self._procfs_path, self.pid)) as f:\n","return open(fname, \"rb\", **kwargs)\n","children=children,\n","def _gc_callback(self, phase, info):\n","return fun(self)\n","return self._proc.memory_info()\n","return fun(self, *args, **kwargs)\n","with open_binary(\"%s/%s/statm\" % (self._procfs_path, self.pid)) as f:\n","return open(fname, \"rb\", **kwargs)\n","children=children,\n","def _gc_callback(self, phase, info):\n","return fun(self)\n","return self._proc.memory_info()\n","return fun(self, *args, **kwargs)\n","with open_binary(\"%s/%s/statm\" % (self._procfs_path, self.pid)) as f:\n","return open(fname, \"rb\", **kwargs)\n","super().set_base_children(value)\n","def _gc_callback(self, phase, info):\n","return fun(self)\n","return self._proc.memory_info()\n","return fun(self, *args, **kwargs)\n","with open_binary(\"%s/%s/statm\" % (self._procfs_path, self.pid)) as f:\n","return open(fname, \"rb\", **kwargs)\n","rss = self._proc.memory_info().rss\n","return fun(self)\n","return self._proc.memory_info()\n","return fun(self, *args, **kwargs)\n","with open_binary(\"%s/%s/statm\" % (self._procfs_path, self.pid)) as f:\n","return open(fname, \"rb\", **kwargs)\n","data_header, data_frames = self.data.serialize()\n","header[\"desc\"] = self.__cuda_array_interface__.copy()\n","rss = self._proc.memory_info().rss\n","return fun(self)\n","return self._proc.memory_info()\n","return fun(self, *args, **kwargs)\n","with open_binary(\"%s/%s/statm\" % (self._procfs_path, self.pid)) as f:\n","return open(fname, \"rb\", **kwargs)\n","\"version\": 0,\n","def _gc_callback(self, phase, info):\n","def _gc_callback(self, phase, info):\n","return fun(self)\n","return self._proc.memory_info()\n","return fun(self, *args, **kwargs)\n","with open_binary(\"%s/%s/statm\" % (self._procfs_path, self.pid)) as f:\n","return open(fname, \"rb\", **kwargs)\n","def __init__(self, data=None, size=None, owner=None):\n","def _gc_callback(self, phase, info):\n","return fun(self)\n","return self._proc.memory_info()\n","return fun(self, *args, **kwargs)\n","with open_binary(\"%s/%s/statm\" % (self._procfs_path, self.pid)) as f:\n","return open(fname, \"rb\", **kwargs)\n","or obj is cudf.core.dtypes.StructDtype\n","if len(self.base_children) == 0:\n","def _gc_callback(self, phase, info):\n","return fun(self)\n","return self._proc.memory_info()\n","return fun(self, *args, **kwargs)\n","with open_binary(\"%s/%s/statm\" % (self._procfs_path, self.pid)) as f:\n","return open(fname, \"rb\", **kwargs)\n","data, \"__cuda_array_interface__\"\n","rss = self._proc.memory_info().rss\n","return fun(self)\n","return self._proc.memory_info()\n","return fun(self, *args, **kwargs)\n","with open_binary(\"%s/%s/statm\" % (self._procfs_path, self.pid)) as f:\n","return open(fname, \"rb\", **kwargs)\n","data.__cuda_array_interface__\n","size = functools.reduce(operator.mul, shape)\n","rss = self._proc.memory_info().rss\n","return fun(self)\n","return self._proc.memory_info()\n","return fun(self, *args, **kwargs)\n","with open_binary(\"%s/%s/statm\" % (self._procfs_path, self.pid)) as f:\n","return open(fname, \"rb\", **kwargs)\n","itemsize = np.dtype(array_interface[\"typestr\"]).itemsize\n","def _gc_callback(self, phase, info):\n","return fun(self)\n","return self._proc.memory_info()\n","return fun(self, *args, **kwargs)\n","with open_binary(\"%s/%s/statm\" % (self._procfs_path, self.pid)) as f:\n","return open(fname, \"rb\", **kwargs)\n","return _abc_instancecheck(cls, instance)\n","type(obj) is cudf.core.dtypes.ListDtype\n","def is_categorical_dtype(obj):\n","header[\"type-serialized\"] = pickle.dumps(type(self))\n","rss = self._proc.memory_info().rss\n","return fun(self)\n","return self._proc.memory_info()\n","return fun(self, *args, **kwargs)\n","with open_binary(\"%s/%s/statm\" % (self._procfs_path, self.pid)) as f:\n","return open(fname, \"rb\", **kwargs)\n","header[\"desc\"] = self.__cuda_array_interface__.copy()\n","\"version\": 0,\n","def _gc_callback(self, phase, info):\n","return fun(self)\n","return self._proc.memory_info()\n","return fun(self, *args, **kwargs)\n","with open_binary(\"%s/%s/statm\" % (self._procfs_path, self.pid)) as f:\n","return open(fname, \"rb\", **kwargs)\n","def _gc_callback(self, phase, info):\n","return fun(self)\n","return self._proc.memory_info()\n","return fun(self, *args, **kwargs)\n","with open_binary(\"%s/%s/statm\" % (self._procfs_path, self.pid)) as f:\n","return open(fname, \"rb\", **kwargs)\n","def _gc_callback(self, phase, info):\n","return fun(self)\n","return self._proc.memory_info()\n","return fun(self, *args, **kwargs)\n","with open_binary(\"%s/%s/statm\" % (self._procfs_path, self.pid)) as f:\n","return open(fname, \"rb\", **kwargs)\n","header[\"index_column\"], frames = self._values.serialize()\n","data_header, data_frames = self.data.serialize()\n","header[\"type-serialized\"] = pickle.dumps(type(self))\n","\"version\": 0,\n","rss = self._proc.memory_info().rss\n","return fun(self)\n","return self._proc.memory_info()\n","return fun(self, *args, **kwargs)\n","with open_binary(\"%s/%s/statm\" % (self._procfs_path, self.pid)) as f:\n","return open(fname, \"rb\", **kwargs)\n","def _gc_callback(self, phase, info):\n","return fun(self)\n","return self._proc.memory_info()\n","return fun(self, *args, **kwargs)\n","with open_binary(\"%s/%s/statm\" % (self._procfs_path, self.pid)) as f:\n","return open(fname, \"rb\", **kwargs)\n","def _gc_callback(self, phase, info):\n","return next(iter(self._data.names))\n","value = self.func(instance)\n","return tuple(self.keys())\n","def _gc_callback(self, phase, info):\n","return fun(self)\n","return self._proc.memory_info()\n","return fun(self, *args, **kwargs)\n","with open_binary(\"%s/%s/statm\" % (self._procfs_path, self.pid)) as f:\n","return open(fname, \"rb\", **kwargs)\n","yield from self._mapping\n","return self._data.__iter__()\n","def _gc_callback(self, phase, info):\n","return fun(self)\n","return self._proc.memory_info()\n","return fun(self, *args, **kwargs)\n","with open_binary(\"%s/%s/statm\" % (self._procfs_path, self.pid)) as f:\n","return open(fname, \"rb\", **kwargs)\n","return KeysView(self)\n","def _gc_callback(self, phase, info):\n","return fun(self)\n","return self._proc.memory_info()\n","return fun(self, *args, **kwargs)\n","with open_binary(\"%s/%s/statm\" % (self._procfs_path, self.pid)) as f:\n","return open(fname, \"rb\", **kwargs)\n","self._mapping = mapping\n","def __len__(self):\n","return len(self._data)\n","def _gc_callback(self, phase, info):\n","return next(iter(self._data.columns))\n","def _gc_callback(self, phase, info):\n","return self._values.dtype\n","return next(iter(self._data.columns))\n","setattr(instance, self.func.__name__, value)\n","return tuple(self.keys())\n","return len(self._mapping)\n","return len(self._data)\n","yield from self._mapping\n","return self._data.__iter__()\n","rss = self._proc.memory_info().rss\n","return fun(self)\n","return self._proc.memory_info()\n","return fun(self, *args, **kwargs)\n","with open_binary(\"%s/%s/statm\" % (self._procfs_path, self.pid)) as f:\n","return open(fname, \"rb\", **kwargs)\n","return KeysView(self)\n","def __init__(self, mapping):\n","(type(f) in [cudf.core.buffer.Buffer, memoryview]) for f in frames\n","hasattr(f, \"__cuda_array_interface__\") for f in frames\n","\"data\": (self.ptr, False),\n","header[\"lengths\"] = [f.nbytes for f in frames]\n","return self.size\n","def _gc_callback(self, phase, info):\n","next(self.gen)\n","yield\n","return next(self.gen)\n","from .comm import CommClosedError\n","","","return _GeneratorContextManager(func, args, kwds)\n","def __init__(self, func, args, kwds):\n","impl = lk[cls]\n","buffers = []\n","if not typ.__module__ or typ.__module__ == \"builtins\":\n","header, frames = dumps(x, context=context) if wants_context else dumps(x)\n","header, frames = dumps(x)\n","return x.device_serialize()\n","header, frames = self.serialize()\n","column_header, column_frames = column.serialize_columns(self._columns)\n","header_columns = [c.serialize() for c in columns]\n","header_columns = [c.serialize() for c in columns]\n","for item in self.children:\n","def _gc_callback(self, phase, info):\n","return Packer(**kwargs).pack(o)\n","return not memoryview(frame).readonly\n","def _gc_callback(self, phase, info):\n","return fun(self)\n","return self._proc.memory_info()\n","return fun(self, *args, **kwargs)\n","with open_binary(\"%s/%s/statm\" % (self._procfs_path, self.pid)) as f:\n","return open(fname, \"rb\", **kwargs)\n","_extract_serialize(x_items, x2, ser, bytestrings, path)\n","_extract_serialize(v_items, v2, ser, bytestrings, path_k)\n","ser[path_k] = v\n","def _gc_callback(self, phase, info):\n","def _gc_callback(self, phase, info):\n","def _gc_callback(self, phase, info):\n","payload = msgpack.dumps(msg, default=msgpack_encode_default, use_bin_type=True)\n","return Packer(**kwargs).pack(o)\n","if type(value) is Serialized\n","return meth(arg, *args, **kwargs)\n","- 2 * sizeof(list())\n","return meth(arg, *args, **kwargs)\n","return getsizeof(seq) + sum(map(sizeof, seq))\n","return meth(arg, *args, **kwargs)\n","- 2 * sizeof(list())\n","return meth(arg, *args, **kwargs)\n","map(sizeof, random.sample(seq, samples))\n","meth = self.dispatch(type(arg))\n","@sizeof.register(object)\n","result = [None] * k\n","random = self.random\n","return _abc_instancecheck(cls, instance)\n","def _gc_callback(self, phase, info):\n","def _gc_callback(self, phase, info):\n","@sizeof.register(object)\n","def _gc_callback(self, phase, info):\n","impl = lk[cls]\n","def _gc_callback(self, phase, info):\n","await self.handle.ep.send(buffer, tag=self.tag)\n","return await comm.tag_send(self._ep, buffer, nbytes, tag, name=log)\n","event_loop, ucx_api.tag_send_nb, ep, buffer, nbytes, tag, name=name\n","ret = event_loop.create_future()\n","return futures.Future(loop=self)\n","def get_debug(self):\n","h = hashlib.sha1(bytes(repr(args), \"utf-8\")).hexdigest()[:16]\n","\"data\": (self.ptr, False),\n","def closed(self):\n","@property\n","if self.isEnabledFor(DEBUG):\n","def isEnabledFor(self, level):\n","return self._ep.handle\n","return self in self._registry\n","with self._recreate_cm():\n","def __enter__(self):\n","libnvtx_pop_range(self.domain.handle)\n","def _recreate_cm(self):\n","hasattr(f, \"__cuda_array_interface__\") for f in frames\n","\"shape\": (self.size,),\n","if self._ep is not None:\n","if len(each_frame) &gt; 0\n","def __len__(self):\n","return\n","return fun(self)\n","return self._proc.memory_info()\n","return fun(self, *args, **kwargs)\n","[int(x) * PAGESIZE for x in f.readline().split()[:7]]\n","next(self.gen)\n","sizes = tuple(nbytes(f) for f in frames)\n","def nbytes(frame, _bytes_like=(bytes, bytearray)):\n","return self.size\n","def _gc_callback(self, phase, info):\n","return fun(self)\n","return self._proc.memory_info()\n","return fun(self, *args, **kwargs)\n","with open_binary(\"%s/%s/statm\" % (self._procfs_path, self.pid)) as f:\n","return open(fname, \"rb\", **kwargs)\n","return next(self.gen)\n","from .comm import CommClosedError\n","","","return self._ep is None\n","return _GeneratorContextManager(func, args, kwds)\n","self.gen = func(*args, **kwds)\n","def _gc_callback(self, phase, info):\n","data = {k: self.data[k] for k in keys if k in self.data}\n","self[key]\n","return self.device_buffer[key]\n","return self.fast[key]\n","self.heap[key] = self.i\n","self.pop(key)\n","del self[key]\n","self.popitem()\n","self._min_heapify(0)\n","self._swap(i, low)\n","h[i], h[j] = h[j], h[i]\n","h = self.heap\n","return self.d[key][0]\n","def _decrease_key(self, i):\n","return len(self.d)\n","return key in self.d\n","return self.device_buffer[key]\n","return self.fast[key]\n","self.heap[key] = self.i\n","self.pop(key)\n","del self[key]\n","self.popitem()\n","self._min_heapify(0)\n","r = (i + 1) &lt;&lt; 1\n","h[i], h[j] = h[j], h[i]\n","h[j][2] = j\n","return self.d[key][0]\n","if self.heap[parent][0] &lt; self.heap[i][0]:\n","return len(self.d)\n","def __contains__(self, key):\n","msg = {\"status\": \"OK\", \"data\": {k: to_serialize(v) for k, v in data.items()}}\n","self.data = data\n","def _gc_callback(self, phase, info):\n","return fun(self)\n","return self._proc.memory_info()\n","return fun(self, *args, **kwargs)\n","with open_binary(\"%s/%s/statm\" % (self._procfs_path, self.pid)) as f:\n","return open(fname, \"rb\", **kwargs)\n","def _gc_callback(self, phase, info):\n","nbytes = {k: self.tasks[k].nbytes for k in data if k in self.tasks}\n","msg = host_array(struct.calcsize(\"?Q\"))\n","await self.handle.ep.recv(buffer, tag=self.tag)\n","tag = hash64bits(self._msg_tag_recv, hash(tag))\n","h = hashlib.sha1(bytes(repr(args), \"utf-8\")).hexdigest()[:16]\n","ep=ep,\n","event_loop = event_loop if event_loop else asyncio.get_event_loop()\n","return _GeneratorContextManager(func, args, kwds)\n","doc = type(self).__doc__\n","if exception is not None:\n","def __exit__(self, type, value, traceback):\n","return futures.Future(loop=self)\n","def get_debug(self):\n","return self._ep is None or not self._ep.initialized\n","@property\n","return func(*args, **kwds)\n","return next(self.gen)\n","from .comm import CommClosedError\n","","","return _GeneratorContextManager(func, args, kwds)\n","self.gen = func(*args, **kwds)\n","res = _from_frames()\n","frames, deserialize=deserialize, deserializers=deserializers\n","msg = loads_msgpack(small_header, small_payload)\n","header = bytes(header)\n","return frame.nbytes\n","host_array = lambda n: numpy.empty((n,), dtype=\"u1\")\n","next(self.gen)\n","return backend.get_address_host(loc)\n","return parse_host_port(loc)[0]\n","return host, int(port)\n","lambda f: self._run_callback(functools.partial(callback, future))\n","ret = callback()\n","self.ctx_run(self.run)\n","yielded = self.gen.send(value)\n","payload = None  # lose ref\n","timeout_fut = gen.with_timeout(timeout, fut)\n","info[\"uncollectable\"],\n","return fun(self)\n","return self._proc.memory_info()\n","return fun(self, *args, **kwargs)\n","with open_binary(\"%s/%s/statm\" % (self._procfs_path, self.pid)) as f:\n","return open(fname, \"rb\", **kwargs)\n","return result\n","info[\"uncollectable\"],\n","return self.call_at(deadline, callback, *args, **kwargs)\n","functools.partial(callback, *args, **kwargs),\n","context=context)\n","timer = events.TimerHandle(when, callback, args, self, context)\n","super().__init__(callback, args, loop, context)\n","rss = self._proc.memory_info().rss\n","return fun(self)\n","return self._proc.memory_info()\n","return fun(self, *args, **kwargs)\n","with open_binary(\"%s/%s/statm\" % (self._procfs_path, self.pid)) as f:\n","return open(fname, \"rb\", **kwargs)\n","future = Future()  # type: Future\n","def _gc_callback(self, phase, info):\n","rss = self._proc.memory_info().rss\n","return fun(self)\n","return self._proc.memory_info()\n","return fun(self, *args, **kwargs)\n","with open_binary(\"%s/%s/statm\" % (self._procfs_path, self.pid)) as f:\n","return open(fname, \"rb\", **kwargs)\n","return time.time()\n","self.io_loop.add_future(self.future, inner)\n","rss = self._proc.memory_info().rss\n","return fun(self)\n","return self._proc.memory_info()\n","return fun(self, *args, **kwargs)\n","with open_binary(\"%s/%s/statm\" % (self._procfs_path, self.pid)) as f:\n","return open(fname, \"rb\", **kwargs)\n","lambda f: self._run_callback(functools.partial(callback, future))\n","def _gc_callback(self, phase, info):\n","return dispatch(args[0].__class__)(*args, **kw)\n","return _wrap_awaitable(yielded)  # type: ignore\n","return task\n","return task\n","self.data.add(ref(item, self._remove))\n","return\n","allow_offload=self.allow_offload,\n","return _to_frames()\n","msg, serializers=serializers, on_error=on_error, context=context\n","msg, data, bytestrings = extract_serialize(msg)\n","_extract_serialize(x_items, x2, ser, bytestrings, path)\n","_extract_serialize(v_items, v2, ser, bytestrings, path_k)\n","_extract_serialize(v_items, v2, ser, bytestrings, path_k)\n","_extract_serialize(v_items, v2, ser, bytestrings, path_k)\n","for k, v in x_items:\n","def _gc_callback(self, phase, info):\n","def _gc_callback(self, phase, info):\n","def _gc_callback(self, phase, info):\n","return fun(self)\n","return self._proc.memory_info()\n","return fun(self, *args, **kwargs)\n","with open_binary(\"%s/%s/statm\" % (self._procfs_path, self.pid)) as f:\n","return open(fname, \"rb\", **kwargs)\n","payload = msgpack.dumps(msg, default=msgpack_encode_default, use_bin_type=True)\n","return Packer(**kwargs).pack(o)\n","return meth(arg, *args, **kwargs)\n","map(sizeof, random.sample(seq, samples))\n","return meth(arg, *args, **kwargs)\n","- 2 * sizeof(list())\n","return meth(arg, *args, **kwargs)\n","return getsizeof(seq) + sum(map(sizeof, seq))\n","meth = self.dispatch(type(arg))\n","impl = lk[cls]\n","- 2 * sizeof(list())\n","return meth(arg, *args, **kwargs)\n","return getsizeof(seq) + sum(map(sizeof, seq))\n","def _gc_callback(self, phase, info):\n","return getsizeof(seq) + sum(map(sizeof, seq))\n","return meth(arg, *args, **kwargs)\n","- 2 * sizeof(list())\n","def _gc_callback(self, phase, info):\n","result[i] = population[j]\n","await self.handle.ep.send(buffer, tag=self.tag)\n","return await comm.tag_send(self._ep, buffer, nbytes, tag, name=log)\n","event_loop, ucx_api.tag_send_nb, ep, buffer, nbytes, tag, name=name\n","req = func(*args, **kwargs)\n","h = hashlib.sha1(bytes(repr(args), \"utf-8\")).hexdigest()[:16]\n","with self._recreate_cm():\n","libnvtx_push_range(self.attributes, self.domain.handle)\n","if len(each_frame) &gt; 0\n","def __enter__(self):\n","sizes = tuple(nbytes(f) for f in frames)\n","self.asyncio_task = self.event_loop.create_task(self._arm_worker())\n","return func(*args, **kwds)\n","future.set_result(True)\n","handle = self._call_soon(callback, args, context)\n","return _GeneratorContextManager(func, args, kwds)\n","del self.args, self.kwds, self.func\n","task = tasks.Task(coro, loop=self)\n","def get_debug(self):\n","def call_soon(self, callback, *args, context=None):\n","def call_soon(self, callback, *args, context=None):\n","handle = events.Handle(callback, args, self, context)\n","self._args = args\n","if self._closed:\n","for key in self.active_threads.values()\n","operation=operation,\n","return await coro()\n","result = await send_recv(comm=comm, op=key, **kwargs)\n","response = await comm.read(deserializers=deserializers)\n","header = struct.unpack(header_fmt, header)\n","await self.handle.ep.recv(buffer, tag=self.tag)\n","tag = hash64bits(self._msg_tag_recv, hash(tag))\n","h = hashlib.sha1(bytes(repr(args), \"utf-8\")).hexdigest()[:16]\n","ep=ep,\n","req = func(*args, **kwargs)\n","def _cb_func(request, exception, event_loop, future):\n","return next(self.gen)\n","@contextlib.contextmanager\n","@wraps(func)\n","doc = type(self).__doc__\n","return self._ep.handle\n","def __exit__(self, type, value, traceback):\n","for is_cuda, each_size in zip(cuda_frames, sizes)\n","host_array = lambda n: numpy.empty((n,), dtype=\"u1\")\n","res = _from_frames()\n","frames, deserialize=deserialize, deserializers=deserializers\n","msg = loads_msgpack(small_header, small_payload)\n","payload, object_hook=msgpack_decode_default, use_list=False, **msgpack_opts\n","def msgpack_decode_default(obj):\n","(is_cuda, each_frame)\n","struct.pack(nframes * \"?\" + nframes * \"Q\", *cuda_frames, *sizes)\n","await self.handle.ep.send(buffer, tag=self.tag)\n","return await comm.tag_send(self._ep, buffer, nbytes, tag, name=log)\n","event_loop, ucx_api.tag_send_nb, ep, buffer, nbytes, tag, name=name\n","req = func(*args, **kwargs)\n","return merge(custom, self.monitor.recent(), core)\n","await func(ep)\n","await cb_coroutine(cls(existing_ep, tag))\n","await self.comm_handler(ucx)\n","msg = await comm.read()\n","(shutdown, nframes) = struct.unpack(\"?Q\", msg)\n","await self.handle.ep.recv(buffer, tag=self.tag)\n","if not isinstance(buffer, Array):\n","ep=ep,\n","ret = event_loop.create_future()\n","return futures.Future(loop=self)\n","def get_debug(self):\n","def _cb_func(request, exception, event_loop, future):\n","h = hashlib.sha1(bytes(repr(args), \"utf-8\")).hexdigest()[:16]\n","return self._ep.handle\n","with self._recreate_cm():\n","def __enter__(self):\n","res = _from_frames()\n","frames, deserialize=deserialize, deserializers=deserializers\n","msg = loads_msgpack(small_header, small_payload)\n","payload, object_hook=msgpack_decode_default, use_list=False, **msgpack_opts\n","def msgpack_decode_default(obj):\n","return next(self.gen)\n","from .comm import CommClosedError\n","","device_array(each_size) if is_cuda else host_array(each_size)\n","host_array = lambda n: numpy.empty((n,), dtype=\"u1\")\n","def isawaitable(object):\n","self.components[0][item] += 1\n","task = loop.create_task(coro_or_future)\n","return task\n","raise RuntimeError('Event loop is closed')\n","self.data.add(ref(item, self._remove))\n","def _gc_callback(self, phase, info):\n","ts.runspec = await self._maybe_deserialize_task(ts)\n","function, args, kwargs = _deserialize(*ts.runspec)\n","function = loads_function(function)\n","if len(bytes_object) &lt; 100000:\n","_copy_future_state(other, future)\n","dest.set_result(result)\n","return handle\n","return handle\n","self._source_traceback = None\n","loop = asyncio.get_event_loop()\n","executor.submit(func, *args), loop=self)\n","_chain_future(future, new_future)\n","source.add_done_callback(_call_set_state)\n","return\n","lambda tf: fut.cancel() if not fut.done() else None\n","def call_soon(self, callback, *args, context=None):\n","self = selfref()\n","hasattr(f, \"__cuda_array_interface__\") for f in frames\n","return intf\n","sizes = tuple(nbytes(f) for f in frames)\n","return frame.nbytes\n","return self.size\n","if len(each_frame) &gt; 0\n","return\n","return self.size\n","return await comm.tag_send(self._ep, buffer, nbytes, tag, name=log)\n","event_loop, ucx_api.tag_send_nb, ep, buffer, nbytes, tag, name=name\n","return ret\n","return int(h, 16)\n","return intf\n","self._log(DEBUG, msg, args, **kwargs)\n","return self._cache[level]\n","return self._ep is None or not self._ep.initialized\n","return self in self._registry\n","struct.pack(nframes * \"?\" + nframes * \"Q\", *cuda_frames, *sizes)\n","stream.synchronize()\n","driver.cuStreamSynchronize(self.handle)\n","self._check_error(fname, retcode)\n","return\n","await self.ep.recv(header)\n","stream.synchronize()\n","driver.cuStreamSynchronize(self.handle)\n","self._check_error(fname, retcode)\n","return False\n","for is_cuda, each_size in zip(cuda_frames, sizes)\n","device_array = lambda n: rmm.DeviceBuffer(size=n)\n","columns = sum(col.__sizeof__() for col in self._data.columns)\n","return self._cached_sizeof\n","return self._start_offset\n","return self.element_indexing(arg)\n","return libcudf.copying.get_element(self, index).value\n","return self._end_offset\n","return self.element_indexing(arg)\n","return libcudf.copying.get_element(self, index).value\n","return n\n","self._init_from_array_like(np.asarray(data), owner)\n","(type(f) in [cudf.core.buffer.Buffer, memoryview]) for f in frames\n","if key in self.tasks\n","return nbytes if nbytes is not None else DEFAULT_DATA_SIZE\n","return await fut\n","fut.set_result(data)\n","return _to_frames()\n","msg, serializers=serializers, on_error=on_error, context=context\n","return small_header, small_payload\n","return [header_bytes, payload]\n","return Packer(**kwargs).pack(o)\n","return x2, ser, bytestrings\n","x2[k] = v\n","x2[k] = v\n","return\n","x2[k] = v\n","if type(value) is Serialize\n","return header, frames\n","return header, frames\n","return x.device_serialize()\n","return header, frames\n","return header, frames\n","return headers, frames\n","header_columns = [c.serialize() for c in columns]\n","return header, frames\n","return Packer(**kwargs).pack(o)\n","return meth(arg, *args, **kwargs)\n","return int(s)\n","return meth(arg, *args, **kwargs)\n","- 2 * sizeof(list())\n","- 2 * sizeof(list())\n","return meth(arg, *args, **kwargs)\n","return getsizeof(seq) + sum(map(sizeof, seq))\n","return meth(arg, *args, **kwargs)\n","- 2 * sizeof(list())\n","return meth(arg, *args, **kwargs)\n","return int(s)\n","return result\n","await asyncio.sleep(0)\n","self.release_key(key)\n","raise\n","raise\n","return \"OK\"\n","raise\n","del self.device_buffer[key]\n","raise KeyError(key)\n","self.total_weight -= self.weights.pop(key)\n","self.popitem()\n","return wrapper[1], wrapper[0]\n","i = low\n","return True\n","return self.device_buffer[key]\n","return self.fast[key]\n","return result\n","self._decrease_key(len(self.heap)-1)\n","return value\n","self.popitem()\n","return wrapper[1], wrapper[0]\n","i = low\n","self.nbytes = None\n","raise\n","self.nbytes = None\n","return asyncio.iscoroutinefunction(f) or gen.is_coroutine_function(f)\n","return response\n","return ret\n","ep=ep,\n","return ret\n","return _GeneratorContextManager(func, args, kwds)\n","self.__doc__ = doc\n","return False\n","return futures.Future(loop=self)\n","return self._debug\n","future.set_result(True)\n","return int(h, 16)\n","return self._ep.handle\n","return self in self._registry\n","return self._ep is None or not self._ep.initialized\n","return self in self._registry\n","return total\n","return fun(self)\n","return self._proc.memory_info()\n","return fun(self, *args, **kwargs)\n","return pmem(rss, vms, shared, text, lib, data, dirty)\n","deps_ts = tuple(ts for ts in deps_ts if ts.state == \"flight\")\n","break\n","return func(*args, **kwds)\n","return _GeneratorContextManager(func, args, kwds)\n","return self in self._registry\n","yield self._mapping[key]\n","return self._data[key]\n","return self._data.__iter__()\n","return\n","self.rpc, deps, worker, who=self.address\n","deps = [d.key for d in deps_ts]\n","deps_ts = [self.tasks.get(key, None) or TaskState(key) for key in deps]\n","operation=operation,\n","return await coro()\n","rpc.reuse(worker, comm)\n","return response\n","return msg\n","return res\n","frames, deserialize=deserialize, deserializers=deserializers\n","return msg\n","return loads(header, frames)\n","return loads(header, frames)\n","return Serializable.device_deserialize(header, frames)\n","return obj\n","for c, f in zip(header[\"is-cuda\"], frames)\n","self._init_from_array_like(np.asarray(data), owner)\n","raise\n","await self.handle.ep.send(buffer, tag=self.tag)\n","return func(*args, **kwds)\n","return self\n","result = await result\n","future = None  # type: ignore\n","self.ctx_run(self.run)\n","return False\n","return dispatch(args[0].__class__)(*args, **kw)\n","return _wrap_awaitable(yielded)  # type: ignore\n","return isinstance(x, FUTURES)\n","return res\n","frames, deserialize=deserialize, deserializers=deserializers\n","return msg\n","return loads(header, frames)\n","return loads(header, frames)\n","return Serializable.device_deserialize(header, frames)\n","return obj\n","return cls(dict(zip(column_names, columns)), index=index)\n","return columns\n","return col\n","buffers = [Buffer(each_frame) for each_frame in frames]\n","return\n","return build_column(data=data, dtype=dtype, mask=mask)\n","null_count=null_count,\n","return npdtype\n","return None\n","raise TypeError(f\"Cannot construct a 'CategoricalDtype' from '{string}'\")\n","return\n","null_count=null_count,\n","self._end_offset = None\n","return func(*args, **kwds)\n","self._data = self.astype(dtype)._data\n","self.columns = columns\n","return func(*args, **kwds)\n","self._data.insert(name, value, loc=loc)\n","self._clear_cache()\n","super().__setitem__(key, value)\n","return arbitrary\n","return _abc_instancecheck(cls, instance)\n","payload, object_hook=msgpack_decode_default, use_list=False, **msgpack_opts\n","return\n","return obj\n","return await coro()\n","rpc.reuse(worker, comm)\n","return response\n","return msg\n","return res\n","frames, deserialize=deserialize, deserializers=deserializers\n","return msg\n","return loads(header, frames)\n","return loads(header, frames)\n","return Serializable.device_deserialize(header, frames)\n","return obj\n","for c, f in zip(header[\"is-cuda\"], frames)\n","self._init_from_array_like(np.asarray(data), owner)\n","f\"Cannot construct Buffer from {data.__class__.__name__}\"\n","raise ValueError(\"Buffer data must be 1D C-contiguous\")\n","return True\n","yield self.waker.wait(self.next_deadline)\n","raise gen.Return(result)\n","result = await result\n","return task\n","return task\n","return 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