manyi/venv/Lib/site-packages/tornado/ioloop.py

#
# Copyright 2009 Facebook
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
# License for the specific language governing permissions and limitations
# under the License.

"""An I/O event loop for non-blocking sockets.

On Python 3, `.IOLoop` is a wrapper around the `asyncio` event loop.

Typical applications will use a single `IOLoop` object, accessed via
`IOLoop.current` class method. The `IOLoop.start` method (or
equivalently, `asyncio.AbstractEventLoop.run_forever`) should usually
be called at the end of the ``main()`` function. Atypical applications
may use more than one `IOLoop`, such as one `IOLoop` per thread, or
per `unittest` case.

In addition to I/O events, the `IOLoop` can also schedule time-based
events. `IOLoop.add_timeout` is a non-blocking alternative to
`time.sleep`.

"""

from __future__ import absolute_import, division, print_function

import collections
import datetime
import errno
import functools
import heapq
import itertools
import logging
import numbers
import os
import select
import sys
import threading
import time
import traceback
import math
import random

from tornado.concurrent import Future, is_future, chain_future, future_set_exc_info, future_add_done_callback  # noqa: E501
from tornado.log import app_log, gen_log
from tornado.platform.auto import set_close_exec, Waker
from tornado import stack_context
from tornado.util import (
    PY3, Configurable, errno_from_exception, timedelta_to_seconds,
    TimeoutError, unicode_type, import_object,
)

try:
    import signal
except ImportError:
    signal = None

try:
    from concurrent.futures import ThreadPoolExecutor
except ImportError:
    ThreadPoolExecutor = None

if PY3:
    import _thread as thread
else:
    import thread

try:
    import asyncio
except ImportError:
    asyncio = None


_POLL_TIMEOUT = 3600.0


class IOLoop(Configurable):
    """A level-triggered I/O loop.

    On Python 3, `IOLoop` is a wrapper around the `asyncio` event
    loop. On Python 2, it uses ``epoll`` (Linux) or ``kqueue`` (BSD
    and Mac OS X) if they are available, or else we fall back on
    select(). If you are implementing a system that needs to handle
    thousands of simultaneous connections, you should use a system
    that supports either ``epoll`` or ``kqueue``.

    Example usage for a simple TCP server:

    .. testcode::

        import errno
        import functools
        import socket

        import tornado.ioloop
        from tornado.iostream import IOStream

        async def handle_connection(connection, address):
            stream = IOStream(connection)
            message = await stream.read_until_close()
            print("message from client:", message.decode().strip())

        def connection_ready(sock, fd, events):
            while True:
                try:
                    connection, address = sock.accept()
                except socket.error as e:
                    if e.args[0] not in (errno.EWOULDBLOCK, errno.EAGAIN):
                        raise
                    return
                connection.setblocking(0)
                io_loop = tornado.ioloop.IOLoop.current()
                io_loop.spawn_callback(handle_connection, connection, address)

        if __name__ == '__main__':
            sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM, 0)
            sock.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1)
            sock.setblocking(0)
            sock.bind(("", 8888))
            sock.listen(128)

            io_loop = tornado.ioloop.IOLoop.current()
            callback = functools.partial(connection_ready, sock)
            io_loop.add_handler(sock.fileno(), callback, io_loop.READ)
            io_loop.start()

    .. testoutput::
       :hide:

    By default, a newly-constructed `IOLoop` becomes the thread's current
    `IOLoop`, unless there already is a current `IOLoop`. This behavior
    can be controlled with the ``make_current`` argument to the `IOLoop`
    constructor: if ``make_current=True``, the new `IOLoop` will always
    try to become current and it raises an error if there is already a
    current instance. If ``make_current=False``, the new `IOLoop` will
    not try to become current.

    In general, an `IOLoop` cannot survive a fork or be shared across
    processes in any way. When multiple processes are being used, each
    process should create its own `IOLoop`, which also implies that
    any objects which depend on the `IOLoop` (such as
    `.AsyncHTTPClient`) must also be created in the child processes.
    As a guideline, anything that starts processes (including the
    `tornado.process` and `multiprocessing` modules) should do so as
    early as possible, ideally the first thing the application does
    after loading its configuration in ``main()``.

    .. versionchanged:: 4.2
       Added the ``make_current`` keyword argument to the `IOLoop`
       constructor.

    .. versionchanged:: 5.0

       Uses the `asyncio` event loop by default. The
       ``IOLoop.configure`` method cannot be used on Python 3 except
       to redundantly specify the `asyncio` event loop.

    """
    # Constants from the epoll module
    _EPOLLIN = 0x001
    _EPOLLPRI = 0x002
    _EPOLLOUT = 0x004
    _EPOLLERR = 0x008
    _EPOLLHUP = 0x010
    _EPOLLRDHUP = 0x2000
    _EPOLLONESHOT = (1 << 30)
    _EPOLLET = (1 << 31)

    # Our events map exactly to the epoll events
    NONE = 0
    READ = _EPOLLIN
    WRITE = _EPOLLOUT
    ERROR = _EPOLLERR | _EPOLLHUP

    # In Python 2, _current.instance points to the current IOLoop.
    _current = threading.local()

    # In Python 3, _ioloop_for_asyncio maps from asyncio loops to IOLoops.
    _ioloop_for_asyncio = dict()

    @classmethod
    def configure(cls, impl, **kwargs):
        if asyncio is not None:
            from tornado.platform.asyncio import BaseAsyncIOLoop

            if isinstance(impl, (str, unicode_type)):
                impl = import_object(impl)
            if not issubclass(impl, BaseAsyncIOLoop):
                raise RuntimeError(
                    "only AsyncIOLoop is allowed when asyncio is available")
        super(IOLoop, cls).configure(impl, **kwargs)

    @staticmethod
    def instance():
        """Deprecated alias for `IOLoop.current()`.

        .. versionchanged:: 5.0

           Previously, this method returned a global singleton
           `IOLoop`, in contrast with the per-thread `IOLoop` returned
           by `current()`. In nearly all cases the two were the same
           (when they differed, it was generally used from non-Tornado
           threads to communicate back to the main thread's `IOLoop`).
           This distinction is not present in `asyncio`, so in order
           to facilitate integration with that package `instance()`
           was changed to be an alias to `current()`. Applications
           using the cross-thread communications aspect of
           `instance()` should instead set their own global variable
           to point to the `IOLoop` they want to use.

        .. deprecated:: 5.0
        """
        return IOLoop.current()

    def install(self):
        """Deprecated alias for `make_current()`.

        .. versionchanged:: 5.0

           Previously, this method would set this `IOLoop` as the
           global singleton used by `IOLoop.instance()`. Now that
           `instance()` is an alias for `current()`, `install()`
           is an alias for `make_current()`.

        .. deprecated:: 5.0
        """
        self.make_current()

    @staticmethod
    def clear_instance():
        """Deprecated alias for `clear_current()`.

        .. versionchanged:: 5.0

           Previously, this method would clear the `IOLoop` used as
           the global singleton by `IOLoop.instance()`. Now that
           `instance()` is an alias for `current()`,
           `clear_instance()` is an alias for `clear_current()`.

        .. deprecated:: 5.0

        """
        IOLoop.clear_current()

    @staticmethod
    def current(instance=True):
        """Returns the current thread's `IOLoop`.

        If an `IOLoop` is currently running or has been marked as
        current by `make_current`, returns that instance.  If there is
        no current `IOLoop` and ``instance`` is true, creates one.

        .. versionchanged:: 4.1
           Added ``instance`` argument to control the fallback to
           `IOLoop.instance()`.
        .. versionchanged:: 5.0
           On Python 3, control of the current `IOLoop` is delegated
           to `asyncio`, with this and other methods as pass-through accessors.
           The ``instance`` argument now controls whether an `IOLoop`
           is created automatically when there is none, instead of
           whether we fall back to `IOLoop.instance()` (which is now
           an alias for this method). ``instance=False`` is deprecated,
           since even if we do not create an `IOLoop`, this method
           may initialize the asyncio loop.
        """
        if asyncio is None:
            current = getattr(IOLoop._current, "instance", None)
            if current is None and instance:
                current = IOLoop()
                if IOLoop._current.instance is not current:
                    raise RuntimeError("new IOLoop did not become current")
        else:
            try:
                loop = asyncio.get_event_loop()
            except (RuntimeError, AssertionError):
                if not instance:
                    return None
                raise
            try:
                return IOLoop._ioloop_for_asyncio[loop]
            except KeyError:
                if instance:
                    from tornado.platform.asyncio import AsyncIOMainLoop
                    current = AsyncIOMainLoop(make_current=True)
                else:
                    current = None
        return current

    def make_current(self):
        """Makes this the `IOLoop` for the current thread.

        An `IOLoop` automatically becomes current for its thread
        when it is started, but it is sometimes useful to call
        `make_current` explicitly before starting the `IOLoop`,
        so that code run at startup time can find the right
        instance.

        .. versionchanged:: 4.1
           An `IOLoop` created while there is no current `IOLoop`
           will automatically become current.

        .. versionchanged:: 5.0
           This method also sets the current `asyncio` event loop.
        """
        # The asyncio event loops override this method.
        assert asyncio is None
        old = getattr(IOLoop._current, "instance", None)
        if old is not None:
            old.clear_current()
        IOLoop._current.instance = self

    @staticmethod
    def clear_current():
        """Clears the `IOLoop` for the current thread.

        Intended primarily for use by test frameworks in between tests.

        .. versionchanged:: 5.0
           This method also clears the current `asyncio` event loop.
        """
        old = IOLoop.current(instance=False)
        if old is not None:
            old._clear_current_hook()
        if asyncio is None:
            IOLoop._current.instance = None

    def _clear_current_hook(self):
        """Instance method called when an IOLoop ceases to be current.

        May be overridden by subclasses as a counterpart to make_current.
        """
        pass

    @classmethod
    def configurable_base(cls):
        return IOLoop

    @classmethod
    def configurable_default(cls):
        if asyncio is not None:
            from tornado.platform.asyncio import AsyncIOLoop
            return AsyncIOLoop
        return PollIOLoop

    def initialize(self, make_current=None):
        if make_current is None:
            if IOLoop.current(instance=False) is None:
                self.make_current()
        elif make_current:
            current = IOLoop.current(instance=False)
            # AsyncIO loops can already be current by this point.
            if current is not None and current is not self:
                raise RuntimeError("current IOLoop already exists")
            self.make_current()

    def close(self, all_fds=False):
        """Closes the `IOLoop`, freeing any resources used.

        If ``all_fds`` is true, all file descriptors registered on the
        IOLoop will be closed (not just the ones created by the
        `IOLoop` itself).

        Many applications will only use a single `IOLoop` that runs for the
        entire lifetime of the process.  In that case closing the `IOLoop`
        is not necessary since everything will be cleaned up when the
        process exits.  `IOLoop.close` is provided mainly for scenarios
        such as unit tests, which create and destroy a large number of
        ``IOLoops``.

        An `IOLoop` must be completely stopped before it can be closed.  This
        means that `IOLoop.stop()` must be called *and* `IOLoop.start()` must
        be allowed to return before attempting to call `IOLoop.close()`.
        Therefore the call to `close` will usually appear just after
        the call to `start` rather than near the call to `stop`.

        .. versionchanged:: 3.1
           If the `IOLoop` implementation supports non-integer objects
           for "file descriptors", those objects will have their
           ``close`` method when ``all_fds`` is true.
        """
        raise NotImplementedError()

    def add_handler(self, fd, handler, events):
        """Registers the given handler to receive the given events for ``fd``.

        The ``fd`` argument may either be an integer file descriptor or
        a file-like object with a ``fileno()`` method (and optionally a
        ``close()`` method, which may be called when the `IOLoop` is shut
        down).

        The ``events`` argument is a bitwise or of the constants
        ``IOLoop.READ``, ``IOLoop.WRITE``, and ``IOLoop.ERROR``.

        When an event occurs, ``handler(fd, events)`` will be run.

        .. versionchanged:: 4.0
           Added the ability to pass file-like objects in addition to
           raw file descriptors.
        """
        raise NotImplementedError()

    def update_handler(self, fd, events):
        """Changes the events we listen for ``fd``.

        .. versionchanged:: 4.0
           Added the ability to pass file-like objects in addition to
           raw file descriptors.
        """
        raise NotImplementedError()

    def remove_handler(self, fd):
        """Stop listening for events on ``fd``.

        .. versionchanged:: 4.0
           Added the ability to pass file-like objects in addition to
           raw file descriptors.
        """
        raise NotImplementedError()

    def set_blocking_signal_threshold(self, seconds, action):
        """Sends a signal if the `IOLoop` is blocked for more than
        ``s`` seconds.

        Pass ``seconds=None`` to disable.  Requires Python 2.6 on a unixy
        platform.

        The action parameter is a Python signal handler.  Read the
        documentation for the `signal` module for more information.
        If ``action`` is None, the process will be killed if it is
        blocked for too long.

        .. deprecated:: 5.0

           Not implemented on the `asyncio` event loop. Use the environment
           variable ``PYTHONASYNCIODEBUG=1`` instead. This method will be
           removed in Tornado 6.0.
        """
        raise NotImplementedError()

    def set_blocking_log_threshold(self, seconds):
        """Logs a stack trace if the `IOLoop` is blocked for more than
        ``s`` seconds.

        Equivalent to ``set_blocking_signal_threshold(seconds,
        self.log_stack)``

        .. deprecated:: 5.0

           Not implemented on the `asyncio` event loop. Use the environment
           variable ``PYTHONASYNCIODEBUG=1`` instead. This method will be
           removed in Tornado 6.0.
        """
        self.set_blocking_signal_threshold(seconds, self.log_stack)

    def log_stack(self, signal, frame):
        """Signal handler to log the stack trace of the current thread.

        For use with `set_blocking_signal_threshold`.

        .. deprecated:: 5.1

           This method will be removed in Tornado 6.0.
        """
        gen_log.warning('IOLoop blocked for %f seconds in\n%s',
                        self._blocking_signal_threshold,
                        ''.join(traceback.format_stack(frame)))

    def start(self):
        """Starts the I/O loop.

        The loop will run until one of the callbacks calls `stop()`, which
        will make the loop stop after the current event iteration completes.
        """
        raise NotImplementedError()

    def _setup_logging(self):
        """The IOLoop catches and logs exceptions, so it's
        important that log output be visible.  However, python's
        default behavior for non-root loggers (prior to python
        3.2) is to print an unhelpful "no handlers could be
        found" message rather than the actual log entry, so we
        must explicitly configure logging if we've made it this
        far without anything.

        This method should be called from start() in subclasses.
        """
        if not any([logging.getLogger().handlers,
                    logging.getLogger('tornado').handlers,
                    logging.getLogger('tornado.application').handlers]):
            logging.basicConfig()

    def stop(self):
        """Stop the I/O loop.

        If the event loop is not currently running, the next call to `start()`
        will return immediately.

        Note that even after `stop` has been called, the `IOLoop` is not
        completely stopped until `IOLoop.start` has also returned.
        Some work that was scheduled before the call to `stop` may still
        be run before the `IOLoop` shuts down.
        """
        raise NotImplementedError()

    def run_sync(self, func, timeout=None):
        """Starts the `IOLoop`, runs the given function, and stops the loop.

        The function must return either an awaitable object or
        ``None``. If the function returns an awaitable object, the
        `IOLoop` will run until the awaitable is resolved (and
        `run_sync()` will return the awaitable's result). If it raises
        an exception, the `IOLoop` will stop and the exception will be
        re-raised to the caller.

        The keyword-only argument ``timeout`` may be used to set
        a maximum duration for the function.  If the timeout expires,
        a `tornado.util.TimeoutError` is raised.

        This method is useful to allow asynchronous calls in a
        ``main()`` function::

            async def main():
                # do stuff...

            if __name__ == '__main__':
                IOLoop.current().run_sync(main)

        .. versionchanged:: 4.3
           Returning a non-``None``, non-awaitable value is now an error.

        .. versionchanged:: 5.0
           If a timeout occurs, the ``func`` coroutine will be cancelled.

        """
        future_cell = [None]

        def run():
            try:
                result = func()
                if result is not None:
                    from tornado.gen import convert_yielded
                    result = convert_yielded(result)
            except Exception:
                future_cell[0] = Future()
                future_set_exc_info(future_cell[0], sys.exc_info())
            else:
                if is_future(result):
                    future_cell[0] = result
                else:
                    future_cell[0] = Future()
                    future_cell[0].set_result(result)
            self.add_future(future_cell[0], lambda future: self.stop())
        self.add_callback(run)
        if timeout is not None:
            def timeout_callback():
                # If we can cancel the future, do so and wait on it. If not,
                # Just stop the loop and return with the task still pending.
                # (If we neither cancel nor wait for the task, a warning
                # will be logged).
                if not future_cell[0].cancel():
                    self.stop()
            timeout_handle = self.add_timeout(self.time() + timeout, timeout_callback)
        self.start()
        if timeout is not None:
            self.remove_timeout(timeout_handle)
        if future_cell[0].cancelled() or not future_cell[0].done():
            raise TimeoutError('Operation timed out after %s seconds' % timeout)
        return future_cell[0].result()

    def time(self):
        """Returns the current time according to the `IOLoop`'s clock.

        The return value is a floating-point number relative to an
        unspecified time in the past.

        By default, the `IOLoop`'s time function is `time.time`.  However,
        it may be configured to use e.g. `time.monotonic` instead.
        Calls to `add_timeout` that pass a number instead of a
        `datetime.timedelta` should use this function to compute the
        appropriate time, so they can work no matter what time function
        is chosen.
        """
        return time.time()

    def add_timeout(self, deadline, callback, *args, **kwargs):
        """Runs the ``callback`` at the time ``deadline`` from the I/O loop.

        Returns an opaque handle that may be passed to
        `remove_timeout` to cancel.

        ``deadline`` may be a number denoting a time (on the same
        scale as `IOLoop.time`, normally `time.time`), or a
        `datetime.timedelta` object for a deadline relative to the
        current time.  Since Tornado 4.0, `call_later` is a more
        convenient alternative for the relative case since it does not
        require a timedelta object.

        Note that it is not safe to call `add_timeout` from other threads.
        Instead, you must use `add_callback` to transfer control to the
        `IOLoop`'s thread, and then call `add_timeout` from there.

        Subclasses of IOLoop must implement either `add_timeout` or
        `call_at`; the default implementations of each will call
        the other.  `call_at` is usually easier to implement, but
        subclasses that wish to maintain compatibility with Tornado
        versions prior to 4.0 must use `add_timeout` instead.

        .. versionchanged:: 4.0
           Now passes through ``*args`` and ``**kwargs`` to the callback.
        """
        if isinstance(deadline, numbers.Real):
            return self.call_at(deadline, callback, *args, **kwargs)
        elif isinstance(deadline, datetime.timedelta):
            return self.call_at(self.time() + timedelta_to_seconds(deadline),
                                callback, *args, **kwargs)
        else:
            raise TypeError("Unsupported deadline %r" % deadline)

    def call_later(self, delay, callback, *args, **kwargs):
        """Runs the ``callback`` after ``delay`` seconds have passed.

        Returns an opaque handle that may be passed to `remove_timeout`
        to cancel.  Note that unlike the `asyncio` method of the same
        name, the returned object does not have a ``cancel()`` method.

        See `add_timeout` for comments on thread-safety and subclassing.

        .. versionadded:: 4.0
        """
        return self.call_at(self.time() + delay, callback, *args, **kwargs)

    def call_at(self, when, callback, *args, **kwargs):
        """Runs the ``callback`` at the absolute time designated by ``when``.

        ``when`` must be a number using the same reference point as
        `IOLoop.time`.

        Returns an opaque handle that may be passed to `remove_timeout`
        to cancel.  Note that unlike the `asyncio` method of the same
        name, the returned object does not have a ``cancel()`` method.

        See `add_timeout` for comments on thread-safety and subclassing.

        .. versionadded:: 4.0
        """
        return self.add_timeout(when, callback, *args, **kwargs)

    def remove_timeout(self, timeout):
        """Cancels a pending timeout.

        The argument is a handle as returned by `add_timeout`.  It is
        safe to call `remove_timeout` even if the callback has already
        been run.
        """
        raise NotImplementedError()

    def add_callback(self, callback, *args, **kwargs):
        """Calls the given callback on the next I/O loop iteration.

        It is safe to call this method from any thread at any time,
        except from a signal handler.  Note that this is the **only**
        method in `IOLoop` that makes this thread-safety guarantee; all
        other interaction with the `IOLoop` must be done from that
        `IOLoop`'s thread.  `add_callback()` may be used to transfer
        control from other threads to the `IOLoop`'s thread.

        To add a callback from a signal handler, see
        `add_callback_from_signal`.
        """
        raise NotImplementedError()

    def add_callback_from_signal(self, callback, *args, **kwargs):
        """Calls the given callback on the next I/O loop iteration.

        Safe for use from a Python signal handler; should not be used
        otherwise.

        Callbacks added with this method will be run without any
        `.stack_context`, to avoid picking up the context of the function
        that was interrupted by the signal.
        """
        raise NotImplementedError()

    def spawn_callback(self, callback, *args, **kwargs):
        """Calls the given callback on the next IOLoop iteration.

        Unlike all other callback-related methods on IOLoop,
        ``spawn_callback`` does not associate the callback with its caller's
        ``stack_context``, so it is suitable for fire-and-forget callbacks
        that should not interfere with the caller.

        .. versionadded:: 4.0
        """
        with stack_context.NullContext():
            self.add_callback(callback, *args, **kwargs)

    def add_future(self, future, callback):
        """Schedules a callback on the ``IOLoop`` when the given
        `.Future` is finished.

        The callback is invoked with one argument, the
        `.Future`.

        This method only accepts `.Future` objects and not other
        awaitables (unlike most of Tornado where the two are
        interchangeable).
        """
        assert is_future(future)
        callback = stack_context.wrap(callback)
        future_add_done_callback(
            future, lambda future: self.add_callback(callback, future))

    def run_in_executor(self, executor, func, *args):
        """Runs a function in a ``concurrent.futures.Executor``. If
        ``executor`` is ``None``, the IO loop's default executor will be used.

        Use `functools.partial` to pass keyword arguments to ``func``.

        .. versionadded:: 5.0
        """
        if ThreadPoolExecutor is None:
            raise RuntimeError(
                "concurrent.futures is required to use IOLoop.run_in_executor")

        if executor is None:
            if not hasattr(self, '_executor'):
                from tornado.process import cpu_count
                self._executor = ThreadPoolExecutor(max_workers=(cpu_count() * 5))
            executor = self._executor
        c_future = executor.submit(func, *args)
        # Concurrent Futures are not usable with await. Wrap this in a
        # Tornado Future instead, using self.add_future for thread-safety.
        t_future = Future()
        self.add_future(c_future, lambda f: chain_future(f, t_future))
        return t_future

    def set_default_executor(self, executor):
        """Sets the default executor to use with :meth:`run_in_executor`.

        .. versionadded:: 5.0
        """
        self._executor = executor

    def _run_callback(self, callback):
        """Runs a callback with error handling.

        For use in subclasses.
        """
        try:
            ret = callback()
            if ret is not None:
                from tornado import gen
                # Functions that return Futures typically swallow all
                # exceptions and store them in the Future.  If a Future
                # makes it out to the IOLoop, ensure its exception (if any)
                # gets logged too.
                try:
                    ret = gen.convert_yielded(ret)
                except gen.BadYieldError:
                    # It's not unusual for add_callback to be used with
                    # methods returning a non-None and non-yieldable
                    # result, which should just be ignored.
                    pass
                else:
                    self.add_future(ret, self._discard_future_result)
        except Exception:
            self.handle_callback_exception(callback)

    def _discard_future_result(self, future):
        """Avoid unhandled-exception warnings from spawned coroutines."""
        future.result()

    def handle_callback_exception(self, callback):
        """This method is called whenever a callback run by the `IOLoop`
        throws an exception.

        By default simply logs the exception as an error.  Subclasses
        may override this method to customize reporting of exceptions.

        The exception itself is not passed explicitly, but is available
        in `sys.exc_info`.

        .. versionchanged:: 5.0

           When the `asyncio` event loop is used (which is now the
           default on Python 3), some callback errors will be handled by
           `asyncio` instead of this method.

        .. deprecated: 5.1

           Support for this method will be removed in Tornado 6.0.
        """
        app_log.error("Exception in callback %r", callback, exc_info=True)

    def split_fd(self, fd):
        """Returns an (fd, obj) pair from an ``fd`` parameter.

        We accept both raw file descriptors and file-like objects as
        input to `add_handler` and related methods.  When a file-like
        object is passed, we must retain the object itself so we can
        close it correctly when the `IOLoop` shuts down, but the
        poller interfaces favor file descriptors (they will accept
        file-like objects and call ``fileno()`` for you, but they
        always return the descriptor itself).

        This method is provided for use by `IOLoop` subclasses and should
        not generally be used by application code.

        .. versionadded:: 4.0
        """
        try:
            return fd.fileno(), fd
        except AttributeError:
            return fd, fd

    def close_fd(self, fd):
        """Utility method to close an ``fd``.

        If ``fd`` is a file-like object, we close it directly; otherwise
        we use `os.close`.

        This method is provided for use by `IOLoop` subclasses (in
        implementations of ``IOLoop.close(all_fds=True)`` and should
        not generally be used by application code.

        .. versionadded:: 4.0
        """
        try:
            try:
                fd.close()
            except AttributeError:
                os.close(fd)
        except OSError:
            pass


class PollIOLoop(IOLoop):
    """Base class for IOLoops built around a select-like function.

    For concrete implementations, see `tornado.platform.epoll.EPollIOLoop`
    (Linux), `tornado.platform.kqueue.KQueueIOLoop` (BSD and Mac), or
    `tornado.platform.select.SelectIOLoop` (all platforms).
    """
    def initialize(self, impl, time_func=None, **kwargs):
        super(PollIOLoop, self).initialize(**kwargs)
        self._impl = impl
        if hasattr(self._impl, 'fileno'):
            set_close_exec(self._impl.fileno())
        self.time_func = time_func or time.time
        self._handlers = {}
        self._events = {}
        self._callbacks = collections.deque()
        self._timeouts = []
        self._cancellations = 0
        self._running = False
        self._stopped = False
        self._closing = False
        self._thread_ident = None
        self._pid = os.getpid()
        self._blocking_signal_threshold = None
        self._timeout_counter = itertools.count()

        # Create a pipe that we send bogus data to when we want to wake
        # the I/O loop when it is idle
        self._waker = Waker()
        self.add_handler(self._waker.fileno(),
                         lambda fd, events: self._waker.consume(),
                         self.READ)

    @classmethod
    def configurable_base(cls):
        return PollIOLoop

    @classmethod
    def configurable_default(cls):
        if hasattr(select, "epoll"):
            from tornado.platform.epoll import EPollIOLoop
            return EPollIOLoop
        if hasattr(select, "kqueue"):
            # Python 2.6+ on BSD or Mac
            from tornado.platform.kqueue import KQueueIOLoop
            return KQueueIOLoop
        from tornado.platform.select import SelectIOLoop
        return SelectIOLoop

    def close(self, all_fds=False):
        self._closing = True
        self.remove_handler(self._waker.fileno())
        if all_fds:
            for fd, handler in list(self._handlers.values()):
                self.close_fd(fd)
        self._waker.close()
        self._impl.close()
        self._callbacks = None
        self._timeouts = None
        if hasattr(self, '_executor'):
            self._executor.shutdown()

    def add_handler(self, fd, handler, events):
        fd, obj = self.split_fd(fd)
        self._handlers[fd] = (obj, stack_context.wrap(handler))
        self._impl.register(fd, events | self.ERROR)

    def update_handler(self, fd, events):
        fd, obj = self.split_fd(fd)
        self._impl.modify(fd, events | self.ERROR)

    def remove_handler(self, fd):
        fd, obj = self.split_fd(fd)
        self._handlers.pop(fd, None)
        self._events.pop(fd, None)
        try:
            self._impl.unregister(fd)
        except Exception:
            gen_log.debug("Error deleting fd from IOLoop", exc_info=True)

    def set_blocking_signal_threshold(self, seconds, action):
        if not hasattr(signal, "setitimer"):
            gen_log.error("set_blocking_signal_threshold requires a signal module "
                          "with the setitimer method")
            return
        self._blocking_signal_threshold = seconds
        if seconds is not None:
            signal.signal(signal.SIGALRM,
                          action if action is not None else signal.SIG_DFL)

    def start(self):
        if self._running:
            raise RuntimeError("IOLoop is already running")
        if os.getpid() != self._pid:
            raise RuntimeError("Cannot share PollIOLoops across processes")
        self._setup_logging()
        if self._stopped:
            self._stopped = False
            return
        old_current = IOLoop.current(instance=False)
        if old_current is not self:
            self.make_current()
        self._thread_ident = thread.get_ident()
        self._running = True

        # signal.set_wakeup_fd closes a race condition in event loops:
        # a signal may arrive at the beginning of select/poll/etc
        # before it goes into its interruptible sleep, so the signal
        # will be consumed without waking the select.  The solution is
        # for the (C, synchronous) signal handler to write to a pipe,
        # which will then be seen by select.
        #
        # In python's signal handling semantics, this only matters on the
        # main thread (fortunately, set_wakeup_fd only works on the main
        # thread and will raise a ValueError otherwise).
        #
        # If someone has already set a wakeup fd, we don't want to
        # disturb it.  This is an issue for twisted, which does its
        # SIGCHLD processing in response to its own wakeup fd being
        # written to.  As long as the wakeup fd is registered on the IOLoop,
        # the loop will still wake up and everything should work.
        old_wakeup_fd = None
        if hasattr(signal, 'set_wakeup_fd') and os.name == 'posix':
            # requires python 2.6+, unix.  set_wakeup_fd exists but crashes
            # the python process on windows.
            try:
                old_wakeup_fd = signal.set_wakeup_fd(self._waker.write_fileno())
                if old_wakeup_fd != -1:
                    # Already set, restore previous value.  This is a little racy,
                    # but there's no clean get_wakeup_fd and in real use the
                    # IOLoop is just started once at the beginning.
                    signal.set_wakeup_fd(old_wakeup_fd)
                    old_wakeup_fd = None
            except ValueError:
                # Non-main thread, or the previous value of wakeup_fd
                # is no longer valid.
                old_wakeup_fd = None

        try:
            while True:
                # Prevent IO event starvation by delaying new callbacks
                # to the next iteration of the event loop.
                ncallbacks = len(self._callbacks)

                # Add any timeouts that have come due to the callback list.
                # Do not run anything until we have determined which ones
                # are ready, so timeouts that call add_timeout cannot
                # schedule anything in this iteration.
                due_timeouts = []
                if self._timeouts:
                    now = self.time()
                    while self._timeouts:
                        if self._timeouts[0].callback is None:
                            # The timeout was cancelled.  Note that the
                            # cancellation check is repeated below for timeouts
                            # that are cancelled by another timeout or callback.
                            heapq.heappop(self._timeouts)
                            self._cancellations -= 1
                        elif self._timeouts[0].deadline <= now:
                            due_timeouts.append(heapq.heappop(self._timeouts))
                        else:
                            break
                    if (self._cancellations > 512 and
                            self._cancellations > (len(self._timeouts) >> 1)):
                        # Clean up the timeout queue when it gets large and it's
                        # more than half cancellations.
                        self._cancellations = 0
                        self._timeouts = [x for x in self._timeouts
                                          if x.callback is not None]
                        heapq.heapify(self._timeouts)

                for i in range(ncallbacks):
                    self._run_callback(self._callbacks.popleft())
                for timeout in due_timeouts:
                    if timeout.callback is not None:
                        self._run_callback(timeout.callback)
                # Closures may be holding on to a lot of memory, so allow
                # them to be freed before we go into our poll wait.
                due_timeouts = timeout = None

                if self._callbacks:
                    # If any callbacks or timeouts called add_callback,
                    # we don't want to wait in poll() before we run them.
                    poll_timeout = 0.0
                elif self._timeouts:
                    # If there are any timeouts, schedule the first one.
                    # Use self.time() instead of 'now' to account for time
                    # spent running callbacks.
                    poll_timeout = self._timeouts[0].deadline - self.time()
                    poll_timeout = max(0, min(poll_timeout, _POLL_TIMEOUT))
                else:
                    # No timeouts and no callbacks, so use the default.
                    poll_timeout = _POLL_TIMEOUT

                if not self._running:
                    break

                if self._blocking_signal_threshold is not None:
                    # clear alarm so it doesn't fire while poll is waiting for
                    # events.
                    signal.setitimer(signal.ITIMER_REAL, 0, 0)

                try:
                    event_pairs = self._impl.poll(poll_timeout)
                except Exception as e:
                    # Depending on python version and IOLoop implementation,
                    # different exception types may be thrown and there are
                    # two ways EINTR might be signaled:
                    # * e.errno == errno.EINTR
                    # * e.args is like (errno.EINTR, 'Interrupted system call')
                    if errno_from_exception(e) == errno.EINTR:
                        continue
                    else:
                        raise

                if self._blocking_signal_threshold is not None:
                    signal.setitimer(signal.ITIMER_REAL,
                                     self._blocking_signal_threshold, 0)

                # Pop one fd at a time from the set of pending fds and run
                # its handler. Since that handler may perform actions on
                # other file descriptors, there may be reentrant calls to
                # this IOLoop that modify self._events
                self._events.update(event_pairs)
                while self._events:
                    fd, events = self._events.popitem()
                    try:
                        fd_obj, handler_func = self._handlers[fd]
                        handler_func(fd_obj, events)
                    except (OSError, IOError) as e:
                        if errno_from_exception(e) == errno.EPIPE:
                            # Happens when the client closes the connection
                            pass
                        else:
                            self.handle_callback_exception(self._handlers.get(fd))
                    except Exception:
                        self.handle_callback_exception(self._handlers.get(fd))
                fd_obj = handler_func = None

        finally:
            # reset the stopped flag so another start/stop pair can be issued
            self._stopped = False
            if self._blocking_signal_threshold is not None:
                signal.setitimer(signal.ITIMER_REAL, 0, 0)
            if old_current is None:
                IOLoop.clear_current()
            elif old_current is not self:
                old_current.make_current()
            if old_wakeup_fd is not None:
                signal.set_wakeup_fd(old_wakeup_fd)

    def stop(self):
        self._running = False
        self._stopped = True
        self._waker.wake()

    def time(self):
        return self.time_func()

    def call_at(self, deadline, callback, *args, **kwargs):
        timeout = _Timeout(
            deadline,
            functools.partial(stack_context.wrap(callback), *args, **kwargs),
            self)
        heapq.heappush(self._timeouts, timeout)
        return timeout

    def remove_timeout(self, timeout):
        # Removing from a heap is complicated, so just leave the defunct
        # timeout object in the queue (see discussion in
        # http://docs.python.org/library/heapq.html).
        # If this turns out to be a problem, we could add a garbage
        # collection pass whenever there are too many dead timeouts.
        timeout.callback = None
        self._cancellations += 1

    def add_callback(self, callback, *args, **kwargs):
        if self._closing:
            return
        # Blindly insert into self._callbacks. This is safe even
        # from signal handlers because deque.append is atomic.
        self._callbacks.append(functools.partial(
            stack_context.wrap(callback), *args, **kwargs))
        if thread.get_ident() != self._thread_ident:
            # This will write one byte but Waker.consume() reads many
            # at once, so it's ok to write even when not strictly
            # necessary.
            self._waker.wake()
        else:
            # If we're on the IOLoop's thread, we don't need to wake anyone.
            pass

    def add_callback_from_signal(self, callback, *args, **kwargs):
        with stack_context.NullContext():
            self.add_callback(callback, *args, **kwargs)


class _Timeout(object):
    """An IOLoop timeout, a UNIX timestamp and a callback"""

    # Reduce memory overhead when there are lots of pending callbacks
    __slots__ = ['deadline', 'callback', 'tdeadline']

    def __init__(self, deadline, callback, io_loop):
        if not isinstance(deadline, numbers.Real):
            raise TypeError("Unsupported deadline %r" % deadline)
        self.deadline = deadline
        self.callback = callback
        self.tdeadline = (deadline, next(io_loop._timeout_counter))

    # Comparison methods to sort by deadline, with object id as a tiebreaker
    # to guarantee a consistent ordering.  The heapq module uses __le__
    # in python2.5, and __lt__ in 2.6+ (sort() and most other comparisons
    # use __lt__).
    def __lt__(self, other):
        return self.tdeadline < other.tdeadline

    def __le__(self, other):
        return self.tdeadline <= other.tdeadline


class PeriodicCallback(object):
    """Schedules the given callback to be called periodically.

    The callback is called every ``callback_time`` milliseconds.
    Note that the timeout is given in milliseconds, while most other
    time-related functions in Tornado use seconds.

    If ``jitter`` is specified, each callback time will be randomly selected
    within a window of ``jitter * callback_time`` milliseconds.
    Jitter can be used to reduce alignment of events with similar periods.
    A jitter of 0.1 means allowing a 10% variation in callback time.
    The window is centered on ``callback_time`` so the total number of calls
    within a given interval should not be significantly affected by adding
    jitter.

    If the callback runs for longer than ``callback_time`` milliseconds,
    subsequent invocations will be skipped to get back on schedule.

    `start` must be called after the `PeriodicCallback` is created.

    .. versionchanged:: 5.0
       The ``io_loop`` argument (deprecated since version 4.1) has been removed.

    .. versionchanged:: 5.1
       The ``jitter`` argument is added.
    """
    def __init__(self, callback, callback_time, jitter=0):
        self.callback = callback
        if callback_time <= 0:
            raise ValueError("Periodic callback must have a positive callback_time")
        self.callback_time = callback_time
        self.jitter = jitter
        self._running = False
        self._timeout = None

    def start(self):
        """Starts the timer."""
        # Looking up the IOLoop here allows to first instantiate the
        # PeriodicCallback in another thread, then start it using
        # IOLoop.add_callback().
        self.io_loop = IOLoop.current()
        self._running = True
        self._next_timeout = self.io_loop.time()
        self._schedule_next()

    def stop(self):
        """Stops the timer."""
        self._running = False
        if self._timeout is not None:
            self.io_loop.remove_timeout(self._timeout)
            self._timeout = None

    def is_running(self):
        """Return True if this `.PeriodicCallback` has been started.

        .. versionadded:: 4.1
        """
        return self._running

    def _run(self):
        if not self._running:
            return
        try:
            return self.callback()
        except Exception:
            self.io_loop.handle_callback_exception(self.callback)
        finally:
            self._schedule_next()

    def _schedule_next(self):
        if self._running:
            self._update_next(self.io_loop.time())
            self._timeout = self.io_loop.add_timeout(self._next_timeout, self._run)

    def _update_next(self, current_time):
        callback_time_sec = self.callback_time / 1000.0
        if self.jitter:
            # apply jitter fraction
            callback_time_sec *= 1 + (self.jitter * (random.random() - 0.5))
        if self._next_timeout <= current_time:
            # The period should be measured from the start of one call
            # to the start of the next. If one call takes too long,
            # skip cycles to get back to a multiple of the original
            # schedule.
            self._next_timeout += (math.floor((current_time - self._next_timeout) /
                                              callback_time_sec) + 1) * callback_time_sec
        else:
            # If the clock moved backwards, ensure we advance the next
            # timeout instead of recomputing the same value again.
            # This may result in long gaps between callbacks if the
            # clock jumps backwards by a lot, but the far more common
            # scenario is a small NTP adjustment that should just be
            # ignored.
            #
            # Note that on some systems if time.time() runs slower
            # than time.monotonic() (most common on windows), we
            # effectively experience a small backwards time jump on
            # every iteration because PeriodicCallback uses
            # time.time() while asyncio schedules callbacks using
            # time.monotonic().
            # https://github.com/tornadoweb/tornado/issues/2333
            self._next_timeout += callback_time_sec