quasiben/profiled-main-not-optimized.html

## profiled-main-not-optimized.html


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self.main(*args, **kwargs)\n","rv = self.invoke(ctx)\n","return ctx.invoke(self.callback, **ctx.params)\n","return callback(*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","result = await send_recv(comm=comm, op=key, **kwargs)\n","await comm.write(msg, serializers=serializers, on_error=\"raise\")\n","stream.write(b)\n","self._handle_write()\n","num_bytes = self.write_to_fd(self._write_buffer.peek(size))\n","return self.socket.send(data)  # type: ignore\n","profile_to_figure, (compute, scheduler, workers)\n","figure, source = profile.plot_figure(data, sizing_mode=\"stretch_both\")\n","fig = figure(tools=\"tap,box_zoom,xwheel_zoom,reset\", **kwargs)\n","return Figure(**kwargs)\n","process_active_tools(self.toolbar, tool_map, opts.active_drag, opts.active_inspect, opts.active_scroll, opts.active_tap)\n","return tool_objs, tool_map\n","repeated_tools = [ str(obj) for obj in _collect_repeated_tools(tool_objs) ]\n","yield item.obj\n","rest = [ Item(obj, obj.properties_with_values()) for obj in group ]\n","return self.query_properties_with_values(lambda prop: prop.serialized, include_defaults)\n","return result\n","return self.property.serialize_value(value)\n","return self._get(obj)\n","return self._get_default(obj)\n","return default\n","return self.property.themed_default(obj.__class__, self.name, obj.themed_values())\n","return self.prepare_value(cls, name, default)\n","return accumulate_dict_from_superclasses(cls, \"__overridden_defaults__\")\n","return cls.__dict__[cachename]\n","_save_helper(obj, filename, resources, title, template, theme)\n","html = file_html(obj, resources, title=title, template=template, theme=theme)\n","bundle = bundle_for_objs_and_resources([doc], resources)\n","return next(self.gen)\n","yield doc\n","check_integrity(refs)\n","return set(collect_models(self))\n","return collect_filtered_models(None, *input_values)\n","return collected\n","_visit_value_and_its_immediate_references(value, visitor)\n","return self._get(obj)\n","return self._get_default(obj)\n","return unstable_dict[self.name]\n","return self.property.themed_default(obj.__class__, self.name, obj.themed_values())\n","return self.prepare_value(cls, name, default)\n","return self.wrap(value)\n","raise ValueError(msg)\n","if not (value is None or any(param.is_valid(value) for param in self.type_params)):\n","return True\n","raise ValueError(msg)\n","return value in self._values\n","await self.comm_handler(comm)\n","await comm.write(result, serializers=serializers)\n","stream.write(b)\n","self._handle_write()\n","num_bytes = self.write_to_fd(self._write_buffer.peek(size))\n","return self.socket.send(data)  # type: ignore\n","n_frames = await stream.read_bytes(8)\n","self._try_inline_read()\n","pos = self._read_to_buffer_loop()\n","if self._read_to_buffer() == 0:\n","bytes_read = self.read_from_fd(buf)\n","return self.socket.recv_into(buf, len(buf))\n","return unparse_host_port(*comm.socket.getsockname()[:2])\n","self._log(INFO, msg, args, **kwargs)\n","self.handle(record)\n","self.callHandlers(record)\n","self.manager.emittedNoHandlerWarning = True\n","return rv\n","self.handleError(record)\n","self.release()\n","handler_func(fileobj, events)\n","self._handle_read()\n","pos = self._read_to_buffer_loop()\n","if self._read_to_buffer() == 0:\n","bytes_read = self.read_from_fd(buf)\n","return self.socket.recv_into(buf, len(buf))\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","rawdict = _psplatform.net_io_counters()\n","with open_text(\"%s/net/dev\" % get_procfs_path()) as f:\n","return open(fname, \"rt\", **kwargs)\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","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","level, ts, sat, thief, duration, cost_multiplier\n","self.move_task_request(ts, sat, idl)\n","ts\n","dask.config.get(\"distributed.scheduler.unknown-task-duration\")\n","multiplier = timedelta_sizes[suffix.lower()]\n","return sum(dts.nbytes for dts in ts.dependencies - ws.has_what) / self.bandwidth\n","def _gc_callback(self, phase, info):\n","return hash(self.address)\n","return ws.occupancy + self.in_flight_occupancy[ws]\n","return hash(self.address)\n","if self.total_nthreads == 0 or ws.status == Status.closed:\n","return self.scheduler.events[\"stealing\"]\n","ts.host_restrictions or ts.worker_restrictions or ts.resource_restrictions\n","return ws.occupancy + self.in_flight_occupancy[ws]\n","return hash(self.address)\n","if self.proc.cpu_percent() &lt; 50:\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","comm = self.get_comm_cost(ts, ws)\n","return sum(dts.nbytes for dts in ts.dependencies - ws.has_what) / self.bandwidth\n","return sum(dts.nbytes for dts in ts.dependencies - ws.has_what) / self.bandwidth\n","cost_multiplier, level = self.steal_time_ratio(ts)\n","nbytes = sum(dep.get_nbytes() for dep in ts.dependencies)\n","def _gc_callback(self, phase, info):\n","nbytes = sum(dep.get_nbytes() for dep in ts.dependencies)\n","nbytes = self.nbytes\n","return self.scheduler.events[\"stealing\"]\n","def get_task_duration(self, ts, default=None):\n","if result is None:\n","self.idle.add(ws)\n","self._list.add(value)\n","elif isinstance(deadline, datetime.timedelta):\n","def call_at(\n","context=context)\n","if self._debug:\n","if self._closed:\n","def __instancecheck__(cls, instance):\n","return time.time()\n","result.set_exception(TimeoutError(\"Timeout\"))\n","handle = self._call_soon(callback, args, context)\n","handle = events.Handle(callback, args, self, context)\n","def _gc_callback(self, phase, info):\n","await self.handle_stream(comm=comm, extra={\"client\": client})\n","msgs = await comm.read()\n","frame = bytearray(length)\n","self._try_inline_read()\n","pos = self._read_to_buffer_loop()\n","if self._read_to_buffer() == 0:\n","bytes_read = self.read_from_fd(buf)\n","return self.socket.recv_into(buf, len(buf))\n","res = _from_frames()\n","frames, deserialize=deserialize, deserializers=deserializers\n","msg = loads_msgpack(small_header, small_payload)\n","return msgpack.loads(payload, use_list=False, **msgpack_opts)\n","return\n","def _gc_callback(self, phase, info):\n","holder[keys[-1]] = val\n","self._try_inline_read()\n","pos = self._read_to_buffer_loop()\n","if self._read_to_buffer() == 0:\n","bytes_read = self.read_from_fd(buf)\n","return self.socket.recv_into(buf, len(buf))\n","for k in list(tasks):\n","dep not in self.tasks and dep not in tasks for dep in deps\n","tp = self.task_prefixes[prefix_key] = TaskPrefix(prefix_key)\n","self.all_durations = defaultdict(float)\n","def _gc_callback(self, phase, info):\n","for word in words[1:]:\n","return\n","@functools.wraps(fun)\n","self.dependencies = set()\n","return x.split(\",\", 1)[0].strip(\"()\\\"'\")\n","def _gc_callback(self, phase, info):\n","self.states[ts.state] += 1\n","return self._state\n","self.group.dependencies.add(other.group)\n","user_priority = {k: user_priority for k in tasks}\n","def _gc_callback(self, phase, info):\n","runnables = [ts for ts in touched_tasks if ts.run_spec]\n","return self._state\n","new = self.transition(key, finish)\n","recommendations = func(key, *args, **kwargs)\n","ts.waiters = {dts for dts in ts.dependents if dts.state == \"waiting\"}\n","ts.waiters = {dts for dts in ts.dependents if dts.state == \"waiting\"}\n","def _gc_callback(self, phase, info):\n","return self._state\n","self.group.states[self._state] -= 1\n","@property\n","def transition(self, key, start, finish, *args, **kwargs):\n","ts = self.scheduler.tasks[key]\n","cost_multiplier, level = self.steal_time_ratio(ts)\n","level = int(round(log(cost_multiplier) / log_2 + 6, 0))\n","@property\n","def _gc_callback(self, phase, info):\n","ws = self.decide_worker(ts)\n","self.workers.values(), key=operator.attrgetter(\"occupancy\")\n","yield self._mapping[key]\n","assert all(dts.who_has for dts in deps)\n","def _gc_callback(self, phase, info):\n","return hash(self.address)\n","if self.total_nthreads == 0 or ws.status == Status.closed:\n","def __eq__(self, other):\n","self.worker_send(worker, msg)\n","self.stream_comms[worker].send(msg)\n","if self.comm is not None and self.comm.closed():\n","if not self._value:\n","dask.config.get(\"distributed.scheduler.unknown-task-duration\")\n","result = result[k]\n","def parse_timedelta(s, default=\"seconds\"):\n","self.transitions(recommendations)\n","new = self.transition(key, finish)\n","recommendations = func(key, *args, **kwargs)\n","self.report_on_key(ts=ts)\n","self.report({\"op\": \"cancelled-key\", \"key\": key}, ts=ts, client=client)\n","for c in ts.who_wants\n","comms |= {\n","@property\n","ts.waiters.clear()\n","self.group.states[value] += 1\n","self.unrunnable.discard(ts)\n","return self._state\n","def transition(self, key, start, finish, *args, **kwargs):\n","return self._state\n","ts = self.scheduler.tasks[key]\n","if not any(tg.states.get(s) for s in ALL_TASK_STATES):\n","required_packages + optional_packages + list(packages)\n","return dict(pversions)\n","return _bootstrap._gcd_import(name[level:], package, level)\n","","","","","","","","","stream.write(b)\n","self._handle_write()\n","num_bytes = self.write_to_fd(self._write_buffer.peek(size))\n","return self.socket.send(data)  # type: ignore\n","return _to_frames()\n","msg, serializers=serializers, on_error=on_error, context=context\n","msg, data, bytestrings = extract_serialize(msg)\n","if isinstance(t, dict):\n","return list(map(container_copy, c))\n","return valmap(container_copy, c)\n","return valmap(container_copy, c)\n","return list(map(container_copy, c))\n","def _gc_callback(self, phase, info):\n","def _gc_callback(self, phase, info):\n","for k, v in enumerate(x):\n","def _gc_callback(self, phase, info):\n","or typ is Serialized\n","for k, v in x.items():\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","def _gc_callback(self, phase, info):\n","await self.handle_worker(comm=comm, worker=address)\n","await self.handle_stream(comm=comm, extra={\"worker\": worker})\n","msgs = await comm.read()\n","n_frames = await stream.read_bytes(8)\n","self._try_inline_read()\n","pos = self._read_to_buffer_loop()\n","if self._read_to_buffer() == 0:\n","bytes_read = self.read_from_fd(buf)\n","return self.socket.recv_into(buf, len(buf))\n","self._try_inline_read()\n","self._read_from_buffer(pos)\n","self._finish_read(pos, False)\n","self._maybe_add_error_listener()\n","self._add_io_state(ioloop.IOLoop.READ)\n","self.io_loop.update_handler(self.fileno(), self._state)\n","self.selector_loop.add_reader(fd, self._handle_events, fd, IOLoop.READ)\n","return self._add_reader(fd, callback, *args)\n","reader.cancel()\n","raise KeyError(\"{!r} is not registered\".format(fileobj)) from None\n","raise KeyError(\"{!r} is not registered\".format(fileobj)) from None\n","return\n","def _gc_callback(self, phase, info):\n","if self._read_to_buffer() == 0:\n","bytes_read = self.read_from_fd(buf)\n","return self.socket.recv_into(buf, len(buf))\n","res = _from_frames()\n","frames, deserialize=deserialize, deserializers=deserializers\n","msg = loads_msgpack(small_header, small_payload)\n","return msgpack.loads(payload, use_list=False, **msgpack_opts)\n","def _gc_callback(self, phase, info):\n","r = self.stimulus_task_finished(key=key, worker=worker, **msg)\n","recommendations = self.transition(key, \"memory\", worker=worker, **kwargs)\n","recommendations = func(key, *args, **kwargs)\n","self._add_to_memory(ts, ws, recommendations, type=type, typename=typename)\n","self.report(msg)\n","for c in ts.who_wants\n","comms |= {\n","def _gc_callback(self, phase, info):\n","def _gc_callback(self, phase, info):\n","self.check_idle_saturated(ws)\n","if self.total_nthreads == 0 or ws.status == Status.closed:\n","return self.value == other.value\n","return self.fget(instance)\n","def transition(self, key, start, finish, *args, **kwargs):\n","if self.isEnabledFor(DEBUG):\n","return self._cache[level]\n","new = self.transition(key, finish)\n","recommendations = func(key, *args, **kwargs)\n","self.send_task_to_worker(worker, key)\n","\"priority\": ts.priority,\n","msg[\"who_has\"] = {\n","dep.key: [ws.address for ws in dep.who_has] for dep in deps\n","def _gc_callback(self, phase, info):\n","if p &gt; nc and pending &gt; 0.4 and pending &gt; 1.9 * avg:\n","if isinstance(other, type(self)):\n","return self.fget(instance)\n","@DynamicClassAttribute\n","partial(self.worker_objective, ts),\n","candidates = frequencies([ws for dts in deps for ws in dts.who_has])\n","def _gc_callback(self, phase, info):\n","[dts.get_nbytes() for dts in ts.dependencies if ws not in dts.who_has]\n","def _gc_callback(self, phase, info):\n","[dts.get_nbytes() for dts in ts.dependencies if ws not in dts.who_has]\n","self.group.states[self._state] -= 1\n","return sum(dts.nbytes for dts in ts.dependencies - ws.has_what) / self.bandwidth\n","self.put_key_in_stealable(ts)\n","cost_multiplier, level = self.steal_time_ratio(ts)\n","nbytes = sum(dep.get_nbytes() for dep in ts.dependencies)\n","def _gc_callback(self, phase, info):\n","@property\n","self.report({\"op\": \"lost-data\", \"key\": key})\n","for c in ts.who_wants\n","comms |= {\n","def _gc_callback(self, phase, info):\n","def _gc_callback(self, phase, info):\n","self.stream_comms[worker].send(msg)\n","if self.comm is not None and self.comm.closed():\n","def closed(self):\n","return self._closed\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","await __sleep0()\n","yield\n","def add_keys(self, comm=None, worker=None, keys=()):\n","lambda f: self._run_callback(functools.partial(callback, future))\n","ret = callback()\n","self.ctx_run(self.run)\n","self.running = False\n","return False\n","return\n","lambda f: self._run_callback(functools.partial(callback, future))\n","def _gc_callback(self, phase, info):\n","yield self.waker.wait(self.next_deadline)\n","return\n","fut.add_done_callback(lambda fut: self._waiters.remove(fut))\n","return\n","def error_callback(future: Future) -&gt; None:\n","def _gc_callback(self, phase, info):\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","def _gc_callback(self, phase, info):\n","future.add_done_callback(callback)\n","def copy(future: \"Future[_T]\") -&gt; None:\n","def _gc_callback(self, phase, info):\n","def _gc_callback(self, phase, info):\n","new_victim = sum(victim.processing.values())\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","return sum(lengths)\n","return future\n","future_set_result_unless_cancelled(future, None)\n","del data\n","await self.handle_worker(comm=comm, worker=address)\n","await self.handle_stream(comm=comm, extra={\"worker\": worker})\n","await asyncio.sleep(0)\n","return msg\n","return future\n","return\n","return self._find_read_pos()\n","return bytes_read\n","del 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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","comm, every_cycle=[self.ensure_communicating, self.ensure_computing]\n","func()\n","self.tasks[key] = self._maybe_deserialize_task(key)\n","function, args, kwargs = _deserialize(*self.tasks[key])\n","function = loads_function(function)\n","result = pickle.loads(bytes_object)\n","return pickle.loads(x)\n","","","","","","","","","","","","","import requests\n","","","","","","import urllib3\n","","","","","","from .connectionpool import HTTPConnectionPool, HTTPSConnectionPool, connection_from_url\n","","","","","","","","from .connection import (\n","","","","","","from .util.proxy import create_proxy_ssl_context\n","","","","","","","","","from .ssl_ import (\n","","","","","","","from .compat import PY2, PY3\n","","","","","","","","from .mbcsgroupprober import MBCSGroupProber\n","","","","","","from .sjisprober import SJISProber\n","","","","","","from .chardistribution import SJISDistributionAnalysis\n","","","","","","class EUCJPDistributionAnalysis(CharDistributionAnalysis):\n","","","","","","","","from .hooks import default_hooks\n","","","","","","","","","","","","","","","","","from .cookies import cookiejar_from_dict\n","","","","","","","","","","return pickle.loads(x)\n","","","","","","","","","","","","from .io import read_csv, read_json, read_orc, to_orc\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","allow_offload=self.allow_offload,\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.host_deserialize(header, frames)\n","return obj\n","for c, f in zip(header[\"is-cuda\"], map(memoryview, frames))\n","register()\n","from cudf.comm import serialize\n","","","","","","","","","","","","","","","","","","","","","return pickle.loads(x, buffers=buffers)\n","return pickle.loads(x)\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","null_count=null_count,\n","return npdtype\n","return None\n","info[\"uncollectable\"],\n","return func(*args, **kwds)\n","super().__init__()\n","object.__getattribute__(self, key)\n","def _gc_callback(self, phase, info):\n","self._data = OrderedColumnDict(data)\n","def _gc_callback(self, phase, info):\n","","","","","","","","import gspread\n","","","","","","from .auth import oauth, service_account\n","","","","","","from google.oauth2.credentials import Credentials\n","","","","","","","","from google.auth import _cloud_sdk\n","","","","","","","","","","","","","","","from google.auth import jwt\n","","","","","","","","import cachetools\n","","","","","","from .cache import Cache\n","","","","","","","","","","","","","class Cache(DefaultMapping):\n","","","","","","","","","","","","","","","","","from google.auth import crypt\n","","","","","","","","","","from google.auth.crypt import rsa\n","","","","","","","","from google.auth.crypt import _cryptography_rsa\n","","","","","","","","from cryptography.hazmat import backends\n","","","","","","","","","","from cryptography.x509.base import (\n","","","","","","from cryptography.x509.extensions import Extension, ExtensionType\n","","","","","","","","","","","","","","","from cryptography.x509.general_name import GeneralName, IPAddress, OtherName\n","","","","","","class OtherName(object):\n","","","","","","class Name(object):\n","","","","","","","","","","","","","","","","","","","","","","","","","","from cryptography.hazmat.primitives.serialization.ssh import (\n","","","","","","from cryptography.hazmat.primitives.asymmetric import dsa, ec, ed25519, rsa\n","","","","","","","","","","","","","","","","","","","","","","","from cryptography.hazmat.backends.openssl.backend import backend\n","","","","","","","","","from cryptography.hazmat.backends.openssl.backend import backend\n","","","","","","from cryptography.hazmat.backends.openssl.dsa import (\n","","","","","","class _DHPublicKey(object):\n","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","Binding.init_static_locks()\n","cls._ensure_ffi_initialized()\n","cls._register_osrandom_engine()\n","","","","","","","","","","","","","from google.auth._default import default, load_credentials_from_file\n","","","","","","def default(scopes=None, request=None, quota_project_id=None):\n","","","","","","","","","","","from .models import Spreadsheet\n","","","","","","","","from .urls import (\n","","","","","","","","","","","","","from .interactive import get_user_credentials\n","","","","","","","","","","","import google_auth_oauthlib.flow\n","","","","","","import wsgiref.simple_server\n","","","","","","from wsgiref.handlers import SimpleHandler\n","","","","","","test(HandlerClass=handler_class, port=args.port, bind=args.bind)\n","'.h': 'text/plain',\n","_db = db\n","self.readfp(fp, strict)\n","self.add_type(type, '.' + suff, strict)\n","import requests_oauthlib\n","","","","","","from .oauth1_auth import OAuth1\n","","","","","","from oauthlib.common import extract_params\n","","","","","","","","","","","","","","","","from .rfc5849 import Client\n","","","","","","from . import parameters, signature\n","","","","","","","","def prepare_request_uri_query(oauth_params, uri):\n","","","","","","","","","from .resource import ResourceEndpoint\n","","","","","","","","","","","","from oauthlib.oauth2 import WebApplicationClient, InsecureTransportError\n","","","","","","from .rfc6749.clients import Client\n","","","","","","","","","def catch_errors_and_unavailability(f):\n","","","","","","","","","","","","","","","from .base import Client, AUTH_HEADER, URI_QUERY, BODY\n","","","","","","from oauthlib.oauth2.rfc6749.parameters import (parse_token_response,\n","","","","","","from oauthlib.signals import scope_changed\n","","","","","","from blinker import Namespace\n","","","","","","","from .metadata import MetadataEndpoint\n","","","","","","from .. import grant_types\n","","","","","","","","from .authorization_code import AuthorizationCodeGrant\n","","","","","","","","","","","","","","class AuthorizationCodeGrant(GrantTypeBase):\n","","","","","","class GrantTypeBase(object):\n","","","","","","","class AuthorizationEndpoint(BaseEndpoint):\n","","","","","","","","","import requests\n","","","","","","import urllib3\n","","","","","","from . import exceptions\n","","","","","","","","from .packages.six.moves.http_client import IncompleteRead as httplib_IncompleteRead\n","","","","","","","","","","","","","","","","","","","","","","from .connection import (\n","","","","","","from .util.proxy import create_proxy_ssl_context\n","","","","","","","","","from .connection import is_connection_dropped\n","","","","","","from ..contrib import _appengine_environ\n","","","","","","","from .url import BRACELESS_IPV6_ADDRZ_RE, IPV4_RE\n","","","","","","def get_host(url):\n","return _compile(pattern, flags)\n","return p\n","groupindex, tuple(indexgroup)\n","return p\n","return items[0]\n","return subpattern\n","return subpattern\n","return subpattern\n","return items[0]\n","return subpattern\n","return items[0]\n","return subpattern\n","self.width = None\n","from .universaldetector import UniversalDetector\n","","","","","","from .charsetgroupprober import CharSetGroupProber\n","","","","","","from .charsetprober import CharSetProber\n","","","","","","","from .sjisprober import SJISProber\n","","","","","","from .chardistribution import SJISDistributionAnalysis\n","","","","","","from .euckrfreq import (EUCKR_CHAR_TO_FREQ_ORDER, EUCKR_TABLE_SIZE,\n","","","","","","","","","","","","","from .langthaimodel import TIS620ThaiModel\n","","","","","","","from . import sessions\n","","","","","","","","from .adapters import HTTPAdapter\n","","","","","","class HTTPAdapter(BaseAdapter):\n","","","","","","","","","","","","","","","","","from . import certs\n","","","","","","","","from certifi import where\n","","","","","","","","","","","","","","","","","","","","","","","from oauth2client import client\n","","","","","","","","from oauth2client import transport\n","","","","","","","","","","","","","","","","","from oauth2client import _pure_python_crypt\n","","","","","","","","from pyasn1.codec.der import decoder\n","","","","","","","","","","","","","","","","","from pyasn1.codec.cer import decoder\n","","","","","","","","from pyasn1.codec.ber import decoder\n","","","","","","","","","","from pyasn1.codec.ber import eoo\n","","","","","","","","from pyasn1.type import base\n","","","","","","","","","","","","","from pyasn1.type import tag\n","","","","","","","","","","","","from pyasn1.compat import dateandtime\n","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","class ORAddress(univ.Sequence):\n","namedtype.OptionalNamedType('extension-attributes', ExtensionAttributes())\n","self.__items = tuple([(namedType.name, namedType.asn1Object) for namedType in self.__namedTypes])\n","return ambiguousTypes\n","self.__items = tuple([(namedType.name, namedType.asn1Object) for namedType in self.__namedTypes])\n","return tagmap.TagMap(presentTypes, skipTypes, defaultType)\n","","","","","","","","","","","","from rsa.key import newkeys, PrivateKey, PublicKey\n","","","","","","import rsa.core\n","","","","","","","","","","from pyasn1_modules import rfc2251\n","","","","","","","","class LDAPMessage(univ.Sequence):\n","implicitTag=tag.Tag(tag.tagClassContext, tag.tagFormatConstructed, 0)))\n","self.__items = tuple([(namedType.name, namedType.asn1Object) for namedType in self.__namedTypes])\n","return ambiguousTypes\n","self.__items = tuple([(namedType.name, namedType.asn1Object) for namedType in self.__namedTypes])\n","return minTagSet or tag.TagSet()\n","return\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","return open(fname, \"rb\", **kwargs)\n","","","","","","","","","","","","","","","from OpenSSL import crypto\n","","","","","","from OpenSSL import crypto, SSL\n","","","","","","","","_lib.ASN1_STRING_set_default_mask_asc(b\"utf8only\")\n","","","","","","","","","","","","","","","","","","","from .groupby import groupby_agg\n","","","","","","","","def _gc_callback(self, phase, info):\n","return msgpack.loads(payload, use_list=False, **msgpack_opts)\n","def _gc_callback(self, phase, info):\n","if all(len(f) == l for f, l in zip(frames, lengths)):\n","return\n","self._try_inline_read()\n","pos = self._read_to_buffer_loop()\n","if self._read_to_buffer() == 0:\n","bytes_read = self.read_from_fd(buf)\n","return self.socket.recv_into(buf, len(buf))\n","self._finish_read(pos, False)\n","self._maybe_add_error_listener()\n","self._add_io_state(ioloop.IOLoop.READ)\n","self.io_loop.update_handler(self.fileno(), self._state)\n","self.selector_loop.add_reader(fd, self._handle_events, fd, IOLoop.READ)\n","return self._add_reader(fd, callback, *args)\n","key = self._selector.get_key(fd)\n","def _gc_callback(self, phase, info):\n","raise KeyError(\"{!r} is not registered\".format(fileobj)) from None\n","info[\"uncollectable\"],\n","self._try_inline_read()\n","pos = self._read_to_buffer_loop()\n","if self._read_to_buffer() == 0:\n","bytes_read = self.read_from_fd(buf)\n","return self.socket.recv_into(buf, len(buf))\n","self._finish_read(pos, False)\n","result = self._consume(size)\n","memoryview(self._read_buffer)[\n","def _gc_callback(self, phase, info):\n","return asyncio.iscoroutinefunction(f) or gen.is_coroutine_function(f)\n","getattr(func, '_is_coroutine', None) is _is_coroutine)\n","object.__code__.co_flags &amp; CO_COROUTINE)\n","self.transition(key, \"ready\")\n","state = func(key, **kwargs)\n","heapq.heappush(self.ready, (self.priorities[key], key))\n","for name, plugin in self.plugins.items():\n","def _gc_callback(self, phase, info):\n","def _gc_callback(self, phase, info):\n","self.release_key(key)\n","del self.data[key]\n","del self.device_buffer[key]\n","del self.fast[key]\n","del self.d[key]\n","self._swap(wrapper[2], parent[2])\n","h = self.heap\n","return wrapper[1], wrapper[0]\n","i = low\n","h[i], h[j] = h[j], h[i]\n","def __contains__(self, key):\n","del self.d[key]\n","del self.fast[key]\n","del self.heap[key]\n","self.popitem()\n","self._min_heapify(0)\n","self._swap(i, low)\n","h = self.heap\n","self[key]\n","return self.device_buffer[key]\n","return self.slow_to_fast(key)\n","value = self.slow[key]\n","return self.load(self.d[key])\n","return func(*args, **kwds)\n","return deserialize(s.header, s.frames)\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","self.heap[key] = self.i\n","self._decrease_key(len(self.heap)-1)\n","def _decrease_key(self, i):\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[j][2] = j\n","return len(self.d)\n","if hasattr(plugin, method_name):\n","del self.data[dep]\n","del self.device_buffer[key]\n","del self.fast[key]\n","del self.d[key]\n","self.popitem()\n","return wrapper[1], wrapper[0]\n","i = low\n","h[i], h[j] = h[j], h[i]\n","h[i], h[j] = h[j], h[i]\n","return key in self.d\n","del self.d[key]\n","del self.fast[key]\n","del self.heap[key]\n","self._swap(wrapper[2], parent[2])\n","h[i][2] = i\n","if len(self.heap) == 1:\n","if r &lt; n and h[r][0] &lt; h[low][0]:\n","h = self.heap\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._swap(wrapper[2], parent[2])\n","h[i], h[j] = h[j], h[i]\n","self._min_heapify(0)\n","if l &lt; n and h[l][0] &lt; h[i][0]:\n","h[i][2] = i\n","if self.heap[parent][0] &lt; self.heap[i][0]:\n","value = self.slow[key]\n","return self.load(self.d[key])\n","return func(*args, **kwds)\n","return deserialize(s.header, s.frames)\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","for name, plugin in self.plugins.items():\n","self.release_key(key)\n","self._notify_plugins(\"release_key\", key, state, cause, reason, report)\n","if hasattr(plugin, method_name):\n","local = [w for w in workers if get_address_host(w) == host]\n","local = [w for w in workers if get_address_host(w) == host]\n","return backend.get_address_host(loc)\n","return parse_host_port(loc)[0]\n","return host, int(port)\n","return\n","return backend.get_address_host(loc)\n","return parse_host_port(loc)[0]\n","def _default():\n","def _gc_callback(self, phase, info):\n","func = self._dep_transitions[start, finish]\n","ret = callback()\n","return self.callback()\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","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","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","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","return lines\n","return text\n","first = read_or_stop()\n","return readline()\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","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","first = read_or_stop()\n","return readline()\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","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","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","\"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","encoding, lines = detect_encoding(buffer.readline)\n","first = read_or_stop()\n","return readline()\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","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","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","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","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","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","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","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","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","encoding, lines = detect_encoding(buffer.readline)\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","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","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","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","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","encoding, lines = detect_encoding(buffer.readline)\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","encoding, lines = detect_encoding(buffer.readline)\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","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","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","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","encoding, lines = detect_encoding(buffer.readline)\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","encoding, lines = detect_encoding(buffer.readline)\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","encoding, lines = detect_encoding(buffer.readline)\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","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","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","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","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","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","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","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","encoding, lines = detect_encoding(buffer.readline)\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","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","first = read_or_stop()\n","return readline()\n","def _gc_callback(self, phase, info):\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","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","with tokenize.open(fullname) as fp:\n","buffer = _builtin_open(filename, 'rb')\n","first = read_or_stop()\n","return readline()\n","@functools.lru_cache(100000)\n","ioc = psutil.net_io_counters()\n","rawdict = _psplatform.net_io_counters()\n","lines = f.readlines()\n","return open(fname, \"rt\", **kwargs)\n","return _common.snetio(*[sum(x) for x in zip(*rawdict.values())])\n","def _gc_callback(self, phase, info):\n","def _gc_callback(self, phase, info):\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 = self._cache[fun] = 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","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","self.close()\n","self._dispose()\n","self._capi.LLVMPY_DisposeModule(self)\n","return self._cfn(*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","return task\n","self.data.add(ref(item, self._remove))\n","return\n","return handle\n","return handle\n","info[\"uncollectable\"],\n","def _gc_callback(self, phase, info):\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","self.ctx_run(self.run)\n","self.result_future, _value_from_stopiteration(e)\n","future.set_result(value)\n","return handle\n","return handle\n","info[\"uncollectable\"],\n","pc.stop()\n","self.io_loop.remove_timeout(self._timeout)\n","def remove_timeout(self, timeout: object) -&gt; None:\n","def _gc_callback(self, phase, info):\n","compressed = await comm.write(msg, serializers=serializers)\n","**self.handshake_options,\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","return header, frames\n","return self.dispatch(cls)  # recurse\n","from cudf.comm import serialize\n","","","","","","","from . import numpy\n","","","","","","","","","","","","","","","","","return x.host_serialize()\n","header, frames = self.device_serialize()\n","header, frames = self.serialize()\n","header[\"index\"], index_frames = self._index.serialize()\n","header[\"index_column\"], frames = self._values.serialize()\n","return header, frames\n","return header, frames\n","info[\"uncollectable\"],\n","return next(iter(self._data.names))\n","value = self.func(instance)\n","return tuple(self.keys())\n","return KeysView(self)\n","yield from self._mapping\n","return self._data.__iter__()\n","info[\"uncollectable\"],\n","def _gc_callback(self, phase, info):\n","return next(iter(self._data.columns))\n","def _gc_callback(self, phase, info):\n","header_columns = [c.serialize() for c in columns]\n","header_columns = [c.serialize() for c in columns]\n","mask_header, mask_frames = self.mask.serialize()\n","def is_categorical_dtype(obj):\n","def _gc_callback(self, phase, info):\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","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","def _gc_callback(self, phase, info):\n","return KeysView(self)\n","def __init__(self, mapping):\n","(type(f) in [cudf.core.buffer.Buffer, memoryview]) for f in frames\n","for c, f in zip(header[\"is-cuda\"], frames)\n","rmm._lib.device_buffer.copy_ptr_to_host(self.ptr, data)\n","def _gc_callback(self, phase, info):\n","def _gc_callback(self, phase, info):\n","def _gc_callback(self, phase, info):\n","return _GeneratorContextManager(func, args, kwds)\n","self.gen = func(*args, **kwds)\n","def _gc_callback(self, phase, info):\n","return next(self.gen)\n","from .comm import CommClosedError\n","","return typ.__module__ + \".\" + typ.__name__\n","def _gc_callback(self, phase, info):\n","protocol=context.get(\"pickle-protocol\", None) if context else None,\n","result = pickle.dumps(x, **dump_kwargs)\n","for obj in x\n","v, serializers=serializers, on_error=on_error, context=context\n","header, frames = dumps(x, context=context) if wants_context else dumps(x)\n","header, frames = dumps(x)\n","return x.host_serialize()\n","for c, f in zip(header[\"is-cuda\"], frames)\n","for c, f in zip(header[\"is-cuda\"], frames)\n","rmm._lib.device_buffer.copy_ptr_to_host(self.ptr, data)\n","frame = memoryview(frame)\n","return\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","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","_extract_serialize(x, ser)\n","for k, v in x.items():\n","def _gc_callback(self, phase, info):\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","*[maybe_compress(frame, **compress_opts) for frame in _frames]\n","def _gc_callback(self, phase, info):\n","def _gc_callback(self, phase, info):\n","def __call__(self, arg, *args, **kwargs):\n","- 2 * sizeof(list())\n","def _gc_callback(self, phase, info):\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","def _gc_callback(self, phase, info):\n","return meth(arg, *args, **kwargs)\n","return getsizeof(seq) + sum(map(sizeof, seq))\n","return meth(arg, *args, **kwargs)\n","def _gc_callback(self, phase, info):\n","def _gc_callback(self, phase, info):\n","self._handle_write()\n","num_bytes = self.write_to_fd(self._write_buffer.peek(size))\n","return self.socket.send(data)  # type: ignore\n","def _gc_callback(self, phase, info):\n","return typing.cast(memoryview, b[pos : pos + size])\n","def _gc_callback(self, phase, info):\n","future.set_result(value)\n","return handle\n","self.io_loop.update_handler(self.fileno(), self._state)\n","self.selector_loop.add_writer(fd, self._handle_events, fd, IOLoop.WRITE)\n","return self._add_writer(fd, callback, *args)\n","(reader, handle))\n","key = key._replace(events=events, data=data)\n","return result\n","return result\n","return\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.slow_to_fast(key)\n","value = self.slow[key]\n","return self.load(self.d[key])\n","return func(*args, **kwds)\n","return deserialize(s.header, s.frames)\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","def _gc_callback(self, phase, info):\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 None\n","return\n","raise TypeError(f\"Cannot construct a 'CategoricalDtype' from '{string}'\")\n","return\n","null_count=null_count,\n","children=children,\n","if header[\"desc\"][\"shape\"] != buf.__cuda_array_interface__[\"shape\"]:\n","\"version\": 0,\n","def _gc_callback(self, phase, info):\n","return func(*args, **kwds)\n","self._init_from_dict_like(data, index=index, columns=columns)\n","self._index = as_index(index)\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 func(*args, **kwds)\n","if len(self) == 0:\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","self._data = OrderedColumnDict(data)\n","def _gc_callback(self, phase, info):\n","return idx_typ(index, name=name)\n","kwargs = _setdefault_name(data, name=name)\n","kwargs.update({\"name\": None})\n","def _gc_callback(self, phase, info):\n","self.evict()\n","cb(k, v)\n","self.slow[key] = value\n","self.d[key] = self.dump(value)\n","return func(*args, **kwds)\n","header, frames = serialize(obj, serializers=(\"dask\", \"pickle\"), on_error=\"raise\")\n","v, serializers=serializers, on_error=on_error, context=context\n","header, frames = dumps(x, context=context) if wants_context else dumps(x)\n","header, frames = dumps(x)\n","return x.host_serialize()\n","for c, f in zip(header[\"is-cuda\"], frames)\n","for c, f in zip(header[\"is-cuda\"], frames)\n","rmm._lib.device_buffer.copy_ptr_to_host(self.ptr, data)\n","def _gc_callback(self, phase, info):\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","mask_header, mask_frames = self.mask.serialize()\n","def _gc_callback(self, phase, info):\n","header[\"index_column\"], frames = self._values.serialize()\n","header[\"type-serialized\"] = pickle.dumps(type(self))\n","def _gc_callback(self, phase, info):\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","header, frames = dumps(x)\n","return x.host_serialize()\n","for c, f in zip(header[\"is-cuda\"], frames)\n","for c, f in zip(header[\"is-cuda\"], frames)\n","rmm._lib.device_buffer.copy_ptr_to_host(self.ptr, data)\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","mask_header, mask_frames = self.mask.serialize()\n","def is_categorical_dtype(obj):\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","n += bitmask_allocation_size_bytes(self.size)\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","n += bitmask_allocation_size_bytes(self.size)\n","self.heap[key] = self.i\n","self.pop(key)\n","del self[key]\n","@doc(dict.__delitem__)\n","self._min_heapify(0)\n","self._swap(i, low)\n","def _swap(self, i, j):\n","def __getitem__(self, 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","l = (i &lt;&lt; 1) + 1\n","h[j][2] = j\n","n_frames = await stream.read_bytes(8)\n","self._try_inline_read()\n","pos = self._read_to_buffer_loop()\n","if self._read_to_buffer() == 0:\n","bytes_read = self.read_from_fd(buf)\n","return self.socket.recv_into(buf, len(buf))\n","self._try_inline_read()\n","self._read_from_buffer(pos)\n","self._finish_read(pos, False)\n","self._maybe_add_error_listener()\n","self._add_io_state(ioloop.IOLoop.READ)\n","self.io_loop.update_handler(self.fileno(), self._state)\n","self.selector_loop.add_reader(fd, self._handle_events, fd, IOLoop.READ)\n","return self._add_reader(fd, callback, *args)\n","key = self._selector.get_key(fd)\n","raise KeyError(\"{!r} is not registered\".format(fileobj)) from None\n","def _gc_callback(self, phase, info):\n","def _gc_callback(self, phase, info):\n","def _gc_callback(self, phase, info):\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","def _gc_callback(self, phase, info):\n","stream.write(b)\n","self._handle_write()\n","num_bytes = self.write_to_fd(self._write_buffer.peek(size))\n","return self.socket.send(data)  # type: ignore\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, ser)\n","_extract_serialize(v, ser, path + (k,))\n","_extract_serialize(v, ser, path + (k,))\n","_extract_serialize(v, ser, path + (k,))\n","for k, v in x.items():\n","def _gc_callback(self, phase, info):\n","return meth(arg, *args, **kwargs)\n","map(sizeof, random.sample(seq, samples))\n","return meth(arg, *args, **kwargs)\n","@sizeof.register(dict)\n","return meth(arg, *args, **kwargs)\n","return getsizeof(seq) + sum(map(sizeof, seq))\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 getsizeof(seq) + sum(map(sizeof, seq))\n","def _gc_callback(self, phase, info):\n","def _gc_callback(self, phase, info):\n","def _gc_callback(self, phase, info):\n","data = self._ssock.recv(4096)\n","n_frames = await stream.read_bytes(8)\n","self._try_inline_read()\n","pos = self._read_to_buffer_loop()\n","if self._read_to_buffer() == 0:\n","bytes_read = self.read_from_fd(buf)\n","return self.socket.recv_into(buf, len(buf))\n","self.rpc, deps, worker, who=self.address\n","return await retry_operation(_get_data, operation=\"get_data_from_worker\")\n","operation=operation,\n","return await coro()\n","await comm.write(\"OK\")\n","stream.write(b)\n","self._handle_write()\n","num_bytes = self.write_to_fd(self._write_buffer.peek(size))\n","return self.socket.send(data)  # type: ignore\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","response = await comm.read(deserializers=deserializers)\n","allow_offload=self.allow_offload,\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.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","def _gc_callback(self, phase, info):\n","obj = typ.deserialize(header, frames)\n","return cls(dict(zip(column_names, columns)), index=index)\n","return func(*args, **kwds)\n","super().__init__()\n","object.__getattribute__(self, key)\n","def _gc_callback(self, phase, info):\n","self._data = OrderedColumnDict(data)\n","def _gc_callback(self, phase, info):\n","self.insert(i, col_name, data[col_name])\n","return func(*args, **kwds)\n","if name in self._data:\n","self[key]\n","info[\"uncollectable\"],\n","Series(val)\n","def _gc_callback(self, phase, info):\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","all(hasattr(obj, attr) for attr in dict_like_attrs)\n","return\n","return columns\n","return build_column(data=data, dtype=dtype, mask=mask)\n","null_count=null_count,\n","return npdtype\n","return None\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","null_count=null_count,\n","children=children,\n","return idx_typ(index, name=name)\n","out._initialize(data, **kwargs)\n","super(Index, self).__init__({name: values})\n","self._data = OrderedColumnDict(data)\n","super().__setitem__(key, value)\n","def _gc_callback(self, phase, info):\n","deserializers=deserializers,\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","if all(len(f) == l for f, l in zip(frames, lengths)):\n","return\n","def _gc_callback(self, phase, info):\n","return await loop.run_in_executor(_offload_executor, lambda: fn(*args, **kwargs))\n","executor.submit(func, *args), loop=self)\n","return new_future\n","return\n","source.add_done_callback(_call_set_state)\n","return\n","return\n","return f\n","self._done_callbacks = []\n","return\n","def _gc_callback(self, phase, info):\n","self._try_inline_read()\n","pos = self._read_to_buffer_loop()\n","if self._read_to_buffer() == 0:\n","bytes_read = self.read_from_fd(buf)\n","return self.socket.recv_into(buf, len(buf))\n","self._finish_read(pos, False)\n","self._maybe_add_error_listener()\n","self._add_io_state(ioloop.IOLoop.READ)\n","self.io_loop.update_handler(self.fileno(), self._state)\n","self.selector_loop.add_reader(fd, self._handle_events, fd, IOLoop.READ)\n","return self._add_reader(fd, callback, *args)\n","(handle, None))\n","key = super().register(fileobj, events, data)\n","return\n","self._read_buffer_size &gt;= self._read_bytes\n","self._try_inline_read()\n","pos = self._read_to_buffer_loop()\n","if self._read_to_buffer() == 0:\n","bytes_read = self.read_from_fd(buf)\n","return self.socket.recv_into(buf, len(buf))\n","stream.write(b)\n","self._handle_write()\n","num_bytes = self.write_to_fd(self._write_buffer.peek(size))\n","return self.socket.send(data)  # type: ignore\n","msg_size = sizeof(msg)\n","return meth(arg, *args, **kwargs)\n","- 2 * sizeof(list())\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 meth(arg, *args, **kwargs)\n","return getsizeof(seq) + sum(map(sizeof, seq))\n","return meth(arg, *args, **kwargs)\n","return getsizeof(seq) + sum(map(sizeof, seq))\n","def _gc_callback(self, phase, info):\n","def _gc_callback(self, phase, info):\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","for k, v in ser.items():\n","def _gc_callback(self, phase, info):\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","def _gc_callback(self, phase, info):\n","def _gc_callback(self, phase, info):\n","def _gc_callback(self, phase, info):\n","def _gc_callback(self, phase, info):\n","state = func(dep, **kwargs)\n","self.put_key_in_memory(dep, value)\n","self.data[key] = value\n","self.device_buffer[key] = value\n","self.fast[key] = value\n","self.evict()\n","cb(k, v)\n","self.slow[key] = value\n","self.d[key] = self.dump(value)\n","return func(*args, **kwds)\n","header, frames = serialize(obj, serializers=(\"dask\", \"pickle\"), on_error=\"raise\")\n","v, serializers=serializers, on_error=on_error, context=context\n","header, frames = dumps(x, context=context) if wants_context else dumps(x)\n","header, frames = dumps(x)\n","return x.host_serialize()\n","for c, f in zip(header[\"is-cuda\"], frames)\n","for c, f in zip(header[\"is-cuda\"], frames)\n","rmm._lib.device_buffer.copy_ptr_to_host(self.ptr, data)\n","def _gc_callback(self, phase, info):\n","def _gc_callback(self, phase, info):\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","mask_header, mask_frames = self.mask.serialize()\n","header[\"type-serialized\"] = pickle.dumps(type(self))\n","def _gc_callback(self, phase, info):\n","\"version\": 0,\n","def _gc_callback(self, phase, info):\n","def _gc_callback(self, phase, info):\n","self._init_from_array_like(data, owner)\n","data.__cuda_array_interface__\n","size = functools.reduce(operator.mul, shape)\n","def _gc_callback(self, phase, info):\n","def is_categorical_dtype(obj):\n","def _gc_callback(self, phase, info):\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","def _gc_callback(self, phase, info):\n","header[\"index_column\"], frames = self._values.serialize()\n","data_header, data_frames = self.data.serialize()\n","header[\"desc\"] = self.__cuda_array_interface__.copy()\n","def _gc_callback(self, phase, info):\n","def _gc_callback(self, phase, info):\n","header, frames = dumps(x)\n","return x.host_serialize()\n","for c, f in zip(header[\"is-cuda\"], frames)\n","for c, f in zip(header[\"is-cuda\"], frames)\n","rmm._lib.device_buffer.copy_ptr_to_host(self.ptr, data)\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","mask_header, mask_frames = self.mask.serialize()\n","def is_categorical_dtype(obj):\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","n += bitmask_allocation_size_bytes(self.size)\n","self._decrease_key(len(self.heap)-1)\n","i = parent\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","n += bitmask_allocation_size_bytes(self.size)\n","value = self.func(instance)\n","return tuple(self.values())\n","def _gc_callback(self, phase, info):\n","return key in self.d\n","return key in self.fast or key in self.slow\n","return key in self.d\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","self.transition_dep(d, \"flight\", worker=worker)\n","if start == finish:\n","local = [w for w in workers if get_address_host(w) == host]\n","return backend.get_address_host(loc)\n","return parse_host_port(loc)[0]\n","return host, int(port)\n","return\n","await self.comm_handler(comm)\n","msg = await comm.read()\n","n_frames = await stream.read_bytes(8)\n","self._try_inline_read()\n","pos = self._read_to_buffer_loop()\n","if self._read_to_buffer() == 0:\n","bytes_read = self.read_from_fd(buf)\n","return self.socket.recv_into(buf, len(buf))\n","self._try_inline_read()\n","self._read_from_buffer(pos)\n","self._finish_read(pos, False)\n","self._maybe_add_error_listener()\n","self._add_io_state(ioloop.IOLoop.READ)\n","self.io_loop.update_handler(self.fileno(), self._state)\n","self.selector_loop.add_reader(fd, self._handle_events, fd, IOLoop.READ)\n","return self._add_reader(fd, callback, *args)\n","key = self._selector.get_key(fd)\n","return mapping[fileobj]\n","return\n","handler_func(fileobj, events)\n","self._handle_read()\n","pos = self._read_to_buffer_loop()\n","if self._read_to_buffer() == 0:\n","bytes_read = self.read_from_fd(buf)\n","return self.socket.recv_into(buf, len(buf))\n","num_bytes = self.write_to_fd(self._write_buffer.peek(size))\n","return self.socket.send(data)  # type: ignore\n","buffers.popleft()\n","self.selector_loop.remove_reader(fd)\n","return self._remove_reader(fd)\n","self._selector.modify(fd, mask, (None, writer))\n","key = key._replace(events=events, data=data)\n","result = _self._make(map(kwds.pop, field_names, _self))\n","return result\n","return\n","connection, address = sock.accept()\n","return sock, addr\n","self.transition(key, \"memory\", value=value)\n","state = func(key, **kwargs)\n","self.put_key_in_memory(key, value, transition=False)\n","self.data[key] = value\n","self.device_buffer[key] = value\n","self.fast[key] = value\n","self.evict()\n","return k, v, weight\n","cb(key, value)\n","self.d[key] = self.dump(value)\n","return func(*args, **kwds)\n","return DeviceSerialized(header, frames)\n","return header, frames\n","return header, frames\n","return x.host_serialize()\n","return header, frames\n","for c, f in zip(header[\"is-cuda\"], frames)\n","return data\n","def _gc_callback(self, phase, info):\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","mask_header, mask_frames = self.mask.serialize()\n","header, frames = dumps(x, context=context) if wants_context else dumps(x)\n","header, frames = dumps(x)\n","return x.host_serialize()\n","for c, f in zip(header[\"is-cuda\"], frames)\n","for c, f in zip(header[\"is-cuda\"], frames)\n","rmm._lib.device_buffer.copy_ptr_to_host(self.ptr, data)\n","def _gc_callback(self, phase, info):\n","def _gc_callback(self, phase, info):\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","mask_header, mask_frames = self.mask.serialize()\n","def _gc_callback(self, phase, info):\n","return header, frames\n","def _gc_callback(self, phase, info):\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","self.ptr = data.ptr\n","def _gc_callback(self, phase, info):\n","def _gc_callback(self, phase, info):\n","def _gc_callback(self, phase, info):\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","header[\"name\"] = pickle.dumps(self.name)\n","return next(iter(self._data.names))\n","def _gc_callback(self, phase, info):\n","data_header, data_frames = self.data.serialize()\n","header[\"type-serialized\"] = pickle.dumps(type(self))\n","def _gc_callback(self, phase, info):\n","\"version\": 0,\n","def _gc_callback(self, phase, info):\n","return self._values.dtype\n","return next(iter(self._data.columns))\n","def _gc_callback(self, phase, info):\n","def _gc_callback(self, phase, info):\n","return next(self.gen)\n","from .comm import CommClosedError\n","","def _gc_callback(self, phase, info):\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","return int(s)\n","return meth(arg, *args, **kwargs)\n","return getsizeof(o)\n","return columns + index\n","columns = sum(col.__sizeof__() for col in self._data.columns)\n","return n\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","n += bitmask_allocation_size_bytes(self.size)\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","return meth(arg, *args, **kwargs)\n","return getsizeof(o)\n","columns = sum(col.__sizeof__() for col in 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._values.__sizeof__()\n","return next(iter(self._data.columns))\n","def __get__(self, instance, cls):\n","n = self.data.size\n","def __init__(self, data=None, size=None, owner=None):\n","columns = sum(col.__sizeof__() for col in self._data.columns)\n","def __sizeof__(self):\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","return int(s)\n","return meth(arg, *args, **kwargs)\n","return getsizeof(o)\n","return columns + index\n","columns = sum(col.__sizeof__() for col in self._data.columns)\n","return n\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","return meth(arg, *args, **kwargs)\n","return getsizeof(o)\n","index = self._index.__sizeof__()\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","n = self.data.size\n","self.size = data.size\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","def __len__(self):\n","if not isinstance(population, _Sequence):\n","return _abc_instancecheck(cls, instance)\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","n += bitmask_allocation_size_bytes(self.size)\n","return meth(arg, *args, **kwargs)\n","return any([is_device_object(s) for s in seq])\n","return any([is_device_object(s) for s in seq])\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","return any([is_device_object(s) for s in seq])\n","return any([is_device_object(s) for s in seq])\n","return meth(arg, *args, **kwargs)\n","return impl\n","return hasattr(o, \"__cuda_array_interface__\")\n","return impl\n","if key in self.data or self.actors.get(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._swap(wrapper[2], parent[2])\n","h = self.heap\n","def dumps_function(func):\n","return typ.__module__ + \".\" + typ.__name__\n","for name, plugin in self.plugins.items():\n","yielded = ctx_run(next, result)\n","yield future\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","functools.partial(callback, *args, **kwargs),\n","info[\"uncollectable\"],\n","context=context)\n","def _gc_callback(self, phase, info):\n","return timer\n","return\n","super().__init__(callback, args, loop, context)\n","def _gc_callback(self, phase, info):\n","def _gc_callback(self, phase, info):\n","def _gc_callback(self, phase, info):\n","w = _WorkItem(f, fn, args, kwargs)\n","self.kwargs = kwargs\n","return\n","self.not_empty.notify()\n","pass\n","info[\"uncollectable\"],\n","self._done_callbacks = []\n","self._waiters = _deque()\n","return\n","return\n","self._timeout = None  # type: object\n","return\n","if self.handle_yield(first_yielded):\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.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","info[\"uncollectable\"],\n","def _gc_callback(self, phase, info):\n","return dispatch(args[0].__class__)(*args, **kw)\n","impl = dispatch_cache[cls]\n","return self.data[ref(key)]\n","def _gc_callback(self, phase, info):\n","return self.device_buffer[key]\n","return self.slow_to_fast(key)\n","value = self.slow[key]\n","return self.load(self.d[key])\n","return func(*args, **kwds)\n","return deserialize(s.header, s.frames)\n","deserializers=deserializers,\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 None\n","raise TypeError(f\"Cannot construct a 'CategoricalDtype' from '{string}'\")\n","return\n","def _gc_callback(self, phase, info):\n","and (string.startswith(\"period[\") or string.startswith(\"Period[\"))\n","null_count=null_count,\n","children=children,\n","if header[\"desc\"][\"shape\"] != buf.__cuda_array_interface__[\"shape\"]:\n","\"version\": 0,\n","def _gc_callback(self, phase, info):\n","return func(*args, **kwds)\n","self._init_from_dict_like(data, index=index, columns=columns)\n","self._index = as_index(index)\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 func(*args, **kwds)\n","if name in self._data:\n","self[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","for val in data.values()\n","def _gc_callback(self, phase, info):\n","self._data = OrderedColumnDict(data)\n","def _gc_callback(self, phase, info):\n","object.__getattribute__(self, key)\n","def _gc_callback(self, phase, info):\n","all(hasattr(obj, attr) for attr in dict_like_attrs)\n","return\n","def _gc_callback(self, phase, info):\n","def _gc_callback(self, phase, info):\n","return idx_typ(index, name=name)\n","out._initialize(data, **kwargs)\n","super(Index, self).__init__({name: values})\n","self._data = OrderedColumnDict(data)\n","super().__setitem__(key, value)\n","def _gc_callback(self, phase, info):\n","super().__setitem__(key, value)\n","def _gc_callback(self, phase, info):\n","def _gc_callback(self, phase, info):\n","def _gc_callback(self, phase, info):\n","for c, f in zip(header[\"is-cuda\"], frames)\n","self._init_from_array_like(data, owner)\n","data.__cuda_array_interface__\n","size = functools.reduce(operator.mul, shape)\n","def _gc_callback(self, phase, info):\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","self.evict()\n","cb(k, v)\n","self.slow[key] = value\n","self.d[key] = self.dump(value)\n","return func(*args, **kwds)\n","header, frames = serialize(obj, serializers=(\"dask\", \"pickle\"), on_error=\"raise\")\n","v, serializers=serializers, on_error=on_error, context=context\n","header, frames = dumps(x, context=context) if wants_context else dumps(x)\n","header, frames = dumps(x)\n","return x.host_serialize()\n","for c, f in zip(header[\"is-cuda\"], frames)\n","for c, f in zip(header[\"is-cuda\"], frames)\n","rmm._lib.device_buffer.copy_ptr_to_host(self.ptr, 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","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","mask_header, mask_frames = self.mask.serialize()\n","header[\"desc\"] = self.__cuda_array_interface__.copy()\n","def _gc_callback(self, phase, info):\n","\"version\": 0,\n","def _gc_callback(self, phase, info):\n","def _gc_callback(self, phase, info):\n","self._init_from_array_like(data, owner)\n","data.__cuda_array_interface__\n","size = functools.reduce(operator.mul, shape)\n","def _gc_callback(self, phase, info):\n","def _gc_callback(self, phase, info):\n","value = self.func(instance)\n","return tuple(self.keys())\n","def _gc_callback(self, phase, info):\n","yield from self._mapping\n","return self._data.__iter__()\n","def _gc_callback(self, phase, info):\n","header[\"index_column\"], frames = self._values.serialize()\n","header[\"type-serialized\"] = pickle.dumps(type(self))\n","def _gc_callback(self, phase, info):\n","header[\"type-serialized\"] = pickle.dumps(type(self))\n","def _gc_callback(self, phase, info):\n","\"version\": 0,\n","def _gc_callback(self, phase, info):\n","return next(iter(self._data.names))\n","def _gc_callback(self, phase, info):\n","value = self.func(instance)\n","return tuple(self.keys())\n","yield from self._mapping\n","return self._data.__iter__()\n","info[\"uncollectable\"],\n","def _gc_callback(self, phase, info):\n","return next(iter(self._data.columns))\n","def _gc_callback(self, phase, info):\n","return _GeneratorContextManager(func, args, kwds)\n","self.gen = func(*args, **kwds)\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(self.gen)\n","from .comm import CommClosedError\n","","return\n","def _gc_callback(self, phase, info):\n","header, frames = dumps(x)\n","return x.host_serialize()\n","for c, f in zip(header[\"is-cuda\"], frames)\n","for c, f in zip(header[\"is-cuda\"], frames)\n","rmm._lib.device_buffer.copy_ptr_to_host(self.ptr, data)\n","def _gc_callback(self, phase, info):\n","def _gc_callback(self, phase, info):\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","mask_header, mask_frames = self.mask.serialize()\n","header[\"desc\"] = self.__cuda_array_interface__.copy()\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","\"version\": 0,\n","def _gc_callback(self, phase, info):\n","def _gc_callback(self, phase, info):\n","def _gc_callback(self, phase, info):\n","header[\"index_column\"], frames = self._values.serialize()\n","data_header, data_frames = self.data.serialize()\n","header[\"desc\"] = self.__cuda_array_interface__.copy()\n","\"version\": 0,\n","def _gc_callback(self, phase, info):\n","def _gc_callback(self, phase, info):\n","def _gc_callback(self, phase, info):\n","def _gc_callback(self, phase, info):\n","return _GeneratorContextManager(func, args, kwds)\n","self.gen = func(*args, **kwds)\n","def _gc_callback(self, phase, info):\n","return Packer(**kwargs).pack(o)\n","def _gc_callback(self, phase, info):\n","def _gc_callback(self, phase, info):\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","n = self.data.size\n","def _gc_callback(self, phase, info):\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","for key in self._mapping:\n","return self._data.__iter__()\n","def _gc_callback(self, phase, info):\n","def _gc_callback(self, phase, info):\n","return ValuesView(self)\n","def _gc_callback(self, phase, info):\n","def _gc_callback(self, phase, info):\n","def _gc_callback(self, phase, info):\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","n += bitmask_allocation_size_bytes(self.size)\n","self.ptr = data.ptr\n","def _gc_callback(self, phase, info):\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","for key in self._mapping:\n","return self._data.__iter__()\n","def _gc_callback(self, phase, info):\n","return ValuesView(self)\n","def _gc_callback(self, phase, info):\n","def _gc_callback(self, phase, info):\n","def _gc_callback(self, phase, info):\n","del self.d[key]\n","del self.fast[key]\n","del self.d[key]\n","self.heap[key] = self.i\n","self.pop(key)\n","del self[key]\n","self.popitem()\n","self._min_heapify(0)\n","l = (i &lt;&lt; 1) + 1\n","h = self.heap\n","h[j][2] = j\n","return key in self.fast or key in self.slow\n","self.tasks[key] = self._maybe_deserialize_task(key)\n","function, args, kwargs = _deserialize(*self.tasks[key])\n","args = pickle.loads(args)\n","return pickle.loads(x)\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","state = func(key, **kwargs)\n","self.loop.add_callback(self.execute, key)\n","local = [w for w in workers if get_address_host(w) == host]\n","local = [w for w in workers if get_address_host(w) == host]\n","return backend.get_address_host(loc)\n","return parse_host_port(loc)[0]\n","return host, int(port)\n","return\n","w for w in self.who_has[dep] if w not in self.in_flight_workers\n","return typ([pack_data(x, d, key_types=key_types) for x in o])\n","return typ([pack_data(x, d, key_types=key_types) for x in o])\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","metrics=await self.get_metrics(),\n","operation=operation,\n","return await coro()\n","result = await send_recv(comm=comm, op=key, **kwargs)\n","await comm.write(msg, serializers=serializers, on_error=\"raise\")\n","stream.write(b)\n","self._handle_write()\n","num_bytes = self.write_to_fd(self._write_buffer.peek(size))\n","return self.socket.send(data)  # type: ignore\n","n_frames = await stream.read_bytes(8)\n","self._try_inline_read()\n","pos = self._read_to_buffer_loop()\n","if self._read_to_buffer() == 0:\n","bytes_read = self.read_from_fd(buf)\n","return self.socket.recv_into(buf, len(buf))\n","result = metric(self)\n","yielded = ctx_run(next, result)\n","result = yield offload(nvml.real_time)\n","def _gc_callback(self, phase, info):\n","def _gc_callback(self, phase, info):\n","lambda tf: fut.cancel() if not fut.done() else None\n","return handle\n","return handle\n","return\n","lambda f: self._run_callback(functools.partial(callback, future))\n","ret = callback()\n","self.ctx_run(self.run)\n","if not self.handle_yield(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","return\n","return dispatch(args[0].__class__)(*args, **kw)\n","return _wrap_awaitable(yielded)  # type: ignore\n","task = loop.create_task(coro_or_future)\n","return task\n","return handle\n","return handle\n","info[\"uncollectable\"],\n","return impl\n","return self.data[ref(key)]\n","yield self.waker.wait(self.next_deadline)\n","return timeout_fut\n","return result\n","return self.call_at(deadline, callback, *args, **kwargs)\n","functools.partial(callback, *args, **kwargs),\n","return\n","timer = self.call_at(self.time() + delay, callback, *args,\n","return timer\n","self._scheduled = False\n","return\n","return\n","info[\"uncollectable\"],\n","info[\"uncollectable\"],\n","return self._debug\n","return\n","def call_soon(self, callback, *args, context=None):\n","handle = events.Handle(callback, args, self, context)\n","if self._loop.get_debug():\n","def get_debug(self):\n","def _check_closed(self):\n","loc, deserialize=deserialize, **connection_args\n","return comm\n","return stream\n","return self.future\n","future, functools.partial(self.on_connect_done, addrs, af, addr)\n","return stream, stream.connect(addr)\n","return future\n","max_ev = max(len(self._fd_to_key), 1)\n","return\n","n_frames = await stream.read_bytes(8)\n","return future\n","self._add_io_state(ioloop.IOLoop.READ)\n","return self._find_read_pos()\n","del buf\n","del buf\n","return future\n","self._add_io_state(ioloop.IOLoop.READ)\n","return self._find_read_pos()\n","return bytes_read\n","del buf\n","return sum(lengths)\n","return future\n","future_set_result_unless_cancelled(future, None)\n","del data\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","return open(fname, \"rb\", 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143.67 MB"},"id":"1898","type":"Title"},{"attributes":{"source":{"id":"1751"}},"id":"1783","type":"CDSView"},{"attributes":{"base":1024,"mantissas":[1,2,4,8,16,32,64,128,256,512]},"id":"1923","type":"AdaptiveTicker"},{"attributes":{"axis":{"id":"1761"},"ticker":null,"visible":false},"id":"1764","type":"Grid"},{"attributes":{},"id":"1807","type":"ResetTool"},{"attributes":{},"id":"1912","type":"CategoricalTicker"},{"attributes":{"formatter":{"id":"1997"},"major_label_orientation":-0.2617993877991494,"ticker":{"id":"1909"}},"id":"1908","type":"CategoricalAxis"},{"attributes":{},"id":"1753","type":"DataRange1d"},{"attributes":{"text":"\n        &lt;h1&gt; Dask Performance Report &lt;/h1&gt;\n\n        &lt;i&gt; Select different tabs on the top for additional information &lt;/i&gt;\n\n        &lt;h2&gt; Duration: 441.96 s &lt;/h2&gt;\n        &lt;h2&gt; Tasks Information &lt;/h2&gt;\n        &lt;ul&gt;\n         &lt;li&gt; number of tasks: 100000 &lt;/li&gt;\n         \n&lt;li&gt; compute time: 392.46 s &lt;/li&gt;\n&lt;li&gt; disk-read time: 388.48 ms &lt;/li&gt;\n&lt;li&gt; transfer time: 3336.74 s &lt;/li&gt;\n        &lt;/ul&gt;\n\n        &lt;h2&gt; Scheduler Information &lt;/h2&gt;\n        &lt;ul&gt;\n          &lt;li&gt; Address: tcp://10.33.228.80:8786 &lt;/li&gt;\n          &lt;li&gt; Workers: 16 &lt;/li&gt;\n          &lt;li&gt; Threads: 16 &lt;/li&gt;\n          &lt;li&gt; Memory: 24.75 TB &lt;/li&gt;\n        &lt;/ul&gt;\n\n        &lt;h2&gt; Calling Code &lt;/h2&gt;\n        &lt;pre&gt;\ndef benchmark(func, *args, **kwargs):\n    csv = kwargs.pop(\"csv\", True)\n    dask_profile = kwargs.pop(\"dask_profile\", False)\n    compute_result = kwargs.pop(\"compute_result\", False)\n    name = func.__name__\n    t0 = time.time()\n    if dask_profile:\n        with performance_report(filename=f\"profiled-{name}.html\"):\n            result = func(*args, **kwargs)\n    else:\n        result = func(*args, **kwargs)\n    elapsed_time = time.time() - t0\n\n    logging_info = {}\n    logging_info[\"elapsed_time_seconds\"] = elapsed_time\n    logging_info[\"function_name\"] = name\n    if compute_result:\n        import dask_cudf\n\n        if isinstance(result, dask_cudf.DataFrame):\n            len_tasks = [dask.delayed(len)(df) for df in result.to_delayed()]\n        else:\n            len_tasks = []\n            for read_df in result:\n                len_tasks += [dask.delayed(len)(df) for df in read_df.to_delayed()]\n\n        compute_st = time.time()\n        results = dask.compute(*len_tasks)\n        compute_et = time.time()\n        logging_info[\"compute_time_seconds\"] = compute_et - compute_st\n\n    logdf = pd.DataFrame.from_dict(logging_info, orient=\"index\").T\n\n    if csv:\n        logdf.to_csv(f\"benchmarked_{name}.csv\", index=False)\n    else:\n        print(logdf)\n    return result\n\n        &lt;/pre&gt;\n        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