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is_in
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def is_in(self, col: Column, *values: Any, positive: bool) -> Column: cols = [x for x in values if isinstance(x, Column)] others = [x for x in values if not isinstance(x, Column)] if positive: o: Any = col.native.isin(others) for c in cols: o = o | col.native == c.native else: o = ~col.native.isin(others) for c in cols: o = o & col.native != c.native if self.is_series(o) and self.is_series(col.native): o = o.mask(col.native.isnull(), None) return Column(o)
(self, col: qpd.dataframe.Column, *values: Any, positive: bool) -> qpd.dataframe.Column
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708,337
qpd.qpd_engine
is_series
null
@abstractmethod def is_series(self, obj: Any) -> bool: # pragma: no cover raise NotImplementedError
(self, obj: Any) -> bool
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708,338
qpd.qpd_engine
is_value
null
def is_value(self, col: Column, is_value: IsValueSpec) -> Column: v = is_value.value_expr if v == "null": if is_value.positive: return Column(col.native.isnull()) else: return Column(~col.native.isnull()) if v == "true": if is_value.positive: return Column(col.native == True) # noqa: else: return Column(col.native != True) # noqa: if v == "false": if is_value.positive: return Column(col.native == False) # noqa: else: return Column(col.native != False) # noqa: raise NotImplementedError(v) # pragma: no cover
(self, col: qpd.dataframe.Column, is_value: qpd.specs.IsValueSpec) -> qpd.dataframe.Column
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708,339
qpd.qpd_engine
join
null
def join( self, df1: DataFrame, df2: DataFrame, join_type: str, on: List[str] ) -> DataFrame: ndf1 = self.to_native(df1) ndf2 = self.to_native(df2) joined = self.pl_utils.join(ndf1, ndf2, join_type=join_type, on=on) return self.to_df(joined)
(self, df1: qpd.dataframe.DataFrame, df2: qpd.dataframe.DataFrame, join_type: str, on: List[str]) -> qpd.dataframe.DataFrame
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708,340
qpd.qpd_engine
logical_not
null
def logical_not(self, col: Column) -> Column: s = self._safe_bool(col.native) if self.is_series(s): nulls = s.isnull() s = s == 0 s = s.mask(nulls, None) return Column(s) return Column(1.0 - s)
(self, col: qpd.dataframe.Column) -> qpd.dataframe.Column
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708,341
qpd.qpd_engine
order_by_limit
null
@abstractmethod def order_by_limit( self, df: DataFrame, order_by: OrderBySpec, limit: int ) -> DataFrame: # pragma: no cover raise NotImplementedError
(self, df: qpd.dataframe.DataFrame, order_by: qpd.specs.OrderBySpec, limit: int) -> qpd.dataframe.DataFrame
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708,342
qpd.qpd_engine
rename
null
def rename(self, col: Column, name: str) -> Column: return col.rename(name)
(self, col: qpd.dataframe.Column, name: str) -> qpd.dataframe.Column
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708,343
qpd.qpd_engine
to_col
null
@abstractmethod def to_col(self, value: Any, name: str = "") -> Column: # pragma: no cover raise NotImplementedError
(self, value: Any, name: str = '') -> qpd.dataframe.Column
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708,344
qpd.qpd_engine
to_df
null
@abstractmethod def to_df(self, obj: Any) -> DataFrame: # pragma: no cover raise NotImplementedError
(self, obj: Any) -> qpd.dataframe.DataFrame
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708,345
qpd.qpd_engine
to_native
null
@abstractmethod def to_native(self, df: DataFrame) -> Any: # pragma: no cover raise NotImplementedError
(self, df: qpd.dataframe.DataFrame) -> Any
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708,346
qpd.qpd_engine
union
null
def union(self, df1: DataFrame, df2: DataFrame, unique: bool) -> DataFrame: ndf1 = self.to_native(df1) ndf2 = self.to_native(df2) return self.to_df(self.pl_utils.union(ndf1, ndf2, unique))
(self, df1: qpd.dataframe.DataFrame, df2: qpd.dataframe.DataFrame, unique: bool) -> qpd.dataframe.DataFrame
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708,347
qpd.qpd_engine
window
null
@abstractmethod def window( # noqa: C901 self, df: DataFrame, func: WindowFunctionSpec, args: List[ArgumentSpec], dest_col_name: str, ) -> DataFrame: # pragma: no cover raise NotImplementedError
(self, df: qpd.dataframe.DataFrame, func: qpd.specs.WindowFunctionSpec, args: List[qpd.specs.ArgumentSpec], dest_col_name: str) -> qpd.dataframe.DataFrame
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708,353
qpd.run
run_sql
null
def run_sql( engine: QPDEngine, sql: str, dfs: Dict[str, Any], ignore_case: bool = False ) -> Any: qsql = QPDSql(sql, "singleStatement", ignore_case=ignore_case) ctx = QPDWorkflowContext(engine, dfs) wf = QPDWorkflow(ctx) v = StatementVisitor( VisitorContext( sql=qsql, workflow=wf, dfs=wf.dfs, ) ) wf.assemble_output(v.visit(qsql.tree)) wf.run() return ctx.result
(engine: qpd.qpd_engine.QPDEngine, sql: str, dfs: Dict[str, Any], ignore_case: bool = False) -> Any
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708,356
ipyniivue._widget
AnyNiivue
Represents a Niivue instance.
class AnyNiivue(OptionsMixin, anywidget.AnyWidget): """Represents a Niivue instance.""" _esm = pathlib.Path(__file__).parent / "static" / "widget.js" _opts = t.Dict({}).tag(sync=True, to_json=serialize_options) _volumes = t.List(t.Instance(Volume), default_value=[]).tag( sync=True, **ipywidgets.widget_serialization ) def __init__(self, **opts): # convert to JS camelCase options _opts = { _SNAKE_TO_CAMEL_OVERRIDES.get(k, snake_to_camel(k)): v for k, v in opts.items() } super().__init__(_opts=_opts, _volumes=[]) def load_volumes(self, volumes: list): """Load a list of volumes into the widget. Parameters ---------- volumes : list A list of dictionaries containing the volume information. """ volumes = [Volume(**item) for item in volumes] self._volumes = volumes def add_volume(self, volume: dict): """Add a single volume to the widget. Parameters ---------- volume : dict A dictionary containing the volume information. """ self._volumes = [*self._volumes, Volume(**volume)] @property def volumes(self): """Returns the list of volumes.""" return self._volumes
(**opts)
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708,361
ipyniivue._widget
__init__
null
def __init__(self, **opts): # convert to JS camelCase options _opts = { _SNAKE_TO_CAMEL_OVERRIDES.get(k, snake_to_camel(k)): v for k, v in opts.items() } super().__init__(_opts=_opts, _volumes=[])
(self, **opts)
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708,387
ipyniivue._widget
add_volume
Add a single volume to the widget. Parameters ---------- volume : dict A dictionary containing the volume information.
def add_volume(self, volume: dict): """Add a single volume to the widget. Parameters ---------- volume : dict A dictionary containing the volume information. """ self._volumes = [*self._volumes, Volume(**volume)]
(self, volume: dict)
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708,398
ipyniivue._widget
load_volumes
Load a list of volumes into the widget. Parameters ---------- volumes : list A list of dictionaries containing the volume information.
def load_volumes(self, volumes: list): """Load a list of volumes into the widget. Parameters ---------- volumes : list A list of dictionaries containing the volume information. """ volumes = [Volume(**item) for item in volumes] self._volumes = volumes
(self, volumes: list)
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708,419
ipyniivue._constants
DragMode
An enumeration.
class DragMode(enum.Enum): CONTRAST = 1 MEASUREMENT = 2 PAN = 3
(value, names=None, *, module=None, qualname=None, type=None, start=1)
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708,420
ipyniivue._constants
MuliplanarType
An enumeration.
class MuliplanarType(enum.Enum): AUTO = 0 COLUMN = 1 GRID = 2 ROW = 3
(value, names=None, *, module=None, qualname=None, type=None, start=1)
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708,421
ipyniivue._constants
SliceType
An enumeration.
class SliceType(enum.Enum): AXIAL = 1 CORONAL = 2 SAGITTAL = 3 MULTIPLANAR = 4 RENDER = 5
(value, names=None, *, module=None, qualname=None, type=None, start=1)
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708,427
more_executors._impl.asyncio
AsyncioExecutor
An executor which delegates to another executor while converting returned futures into instances of :class:`asyncio.Future`. Note that since this class produces :mod:`asyncio` rather than :mod:`concurrent.futures` future objects, AsyncioExecutor instances themselves cannot be used as a delegate executor of other executor instances within this library. .. versionadded:: 1.7.0
class AsyncioExecutor(Executor): """An executor which delegates to another executor while converting returned futures into instances of :class:`asyncio.Future`. Note that since this class produces :mod:`asyncio` rather than :mod:`concurrent.futures` future objects, AsyncioExecutor instances themselves cannot be used as a delegate executor of other executor instances within this library. .. versionadded:: 1.7.0 """ def __init__(self, delegate, loop=None, logger=None, name="default"): """ Parameters: delegate (~concurrent.futures.Executor): executor to which callables will be submitted loop (~asyncio.AbstractEventLoop): asyncio event loop used to wrap futures; if omitted, the return value of :meth:`asyncio.get_event_loop` is used. .. note:: Starting from Python 3.12, :meth:`asyncio.get_event_loop` raises an exception if there is no current event loop, so it is necessary to either pass a loop explicitly or ensure there is a running loop prior to constructing this executor. logger (~logging.Logger): a logger used for messages from this executor name (str): a name for this executor .. versionchanged:: 2.7.0 Introduced ``name``. """ self._delegate = delegate self._loop = loop self._name = name self._shutdown = ShutdownHelper() metrics.EXEC_TOTAL.labels(type="asyncio", executor=self._name).inc() metrics.EXEC_INPROGRESS.labels(type="asyncio", executor=self._name).inc() def submit(self, *args, **kwargs): # pylint: disable=arguments-differ return self.submit_with_loop(self._loop, *args, **kwargs) def submit_with_loop(self, loop, fn, *args, **kwargs): """Submit a callable with the specified event loop. Parameters: loop (~asyncio.AbstractEventLoop): asyncio event loop used to wrap futures fn (callable): callable to be submitted Returns: asyncio.Future: a future for the given callable """ with self._shutdown.ensure_alive(): if not loop: loop = asyncio.get_event_loop() future = self._delegate.submit(fn, *args, **kwargs) return asyncio.wrap_future(future, loop=loop) def shutdown(self, wait=True, **_kwargs): if self._shutdown(): metrics.EXEC_INPROGRESS.labels(type="asyncio", executor=self._name).dec() self._delegate.shutdown(wait, **_kwargs)
(delegate, loop=None, logger=None, name='default')
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708,430
more_executors._impl.asyncio
__init__
Parameters: delegate (~concurrent.futures.Executor): executor to which callables will be submitted loop (~asyncio.AbstractEventLoop): asyncio event loop used to wrap futures; if omitted, the return value of :meth:`asyncio.get_event_loop` is used. .. note:: Starting from Python 3.12, :meth:`asyncio.get_event_loop` raises an exception if there is no current event loop, so it is necessary to either pass a loop explicitly or ensure there is a running loop prior to constructing this executor. logger (~logging.Logger): a logger used for messages from this executor name (str): a name for this executor .. versionchanged:: 2.7.0 Introduced ``name``.
def __init__(self, delegate, loop=None, logger=None, name="default"): """ Parameters: delegate (~concurrent.futures.Executor): executor to which callables will be submitted loop (~asyncio.AbstractEventLoop): asyncio event loop used to wrap futures; if omitted, the return value of :meth:`asyncio.get_event_loop` is used. .. note:: Starting from Python 3.12, :meth:`asyncio.get_event_loop` raises an exception if there is no current event loop, so it is necessary to either pass a loop explicitly or ensure there is a running loop prior to constructing this executor. logger (~logging.Logger): a logger used for messages from this executor name (str): a name for this executor .. versionchanged:: 2.7.0 Introduced ``name``. """ self._delegate = delegate self._loop = loop self._name = name self._shutdown = ShutdownHelper() metrics.EXEC_TOTAL.labels(type="asyncio", executor=self._name).inc() metrics.EXEC_INPROGRESS.labels(type="asyncio", executor=self._name).inc()
(self, delegate, loop=None, logger=None, name='default')
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708,432
more_executors._impl.asyncio
shutdown
null
def shutdown(self, wait=True, **_kwargs): if self._shutdown(): metrics.EXEC_INPROGRESS.labels(type="asyncio", executor=self._name).dec() self._delegate.shutdown(wait, **_kwargs)
(self, wait=True, **_kwargs)
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708,433
more_executors._impl.asyncio
submit
null
def submit(self, *args, **kwargs): # pylint: disable=arguments-differ return self.submit_with_loop(self._loop, *args, **kwargs)
(self, *args, **kwargs)
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708,434
more_executors._impl.asyncio
submit_with_loop
Submit a callable with the specified event loop. Parameters: loop (~asyncio.AbstractEventLoop): asyncio event loop used to wrap futures fn (callable): callable to be submitted Returns: asyncio.Future: a future for the given callable
def submit_with_loop(self, loop, fn, *args, **kwargs): """Submit a callable with the specified event loop. Parameters: loop (~asyncio.AbstractEventLoop): asyncio event loop used to wrap futures fn (callable): callable to be submitted Returns: asyncio.Future: a future for the given callable """ with self._shutdown.ensure_alive(): if not loop: loop = asyncio.get_event_loop() future = self._delegate.submit(fn, *args, **kwargs) return asyncio.wrap_future(future, loop=loop)
(self, loop, fn, *args, **kwargs)
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708,435
more_executors._impl.cancel_on_shutdown
CancelOnShutdownExecutor
An executor which delegates to another executor and cancels all futures when the executor is shut down. This class is useful in conjunction with executors having custom cancel behavior, such as :class:`~more_executors.PollExecutor`. .. note:: From Python 3.9 onwards, the standard :meth:`~concurrent.futures.Executor.shutdown` method includes a ``cancel_futures`` parameter which can be used to cancel futures on shutdown. These two approaches of cancelling futures on shutdown have the following differences: - ``cancel_futures=True`` will only cancel futures which have not yet started running. - ``CancelOnShutdownExecutor`` will attempt to cancel *all* incomplete futures, including those which are running. If you're using other executors from this library and you want to ensure futures are cancelled on shutdown, ``CancelOnShutdownExecutor`` should be preferred because several of the executor classes in this library do support cancellation of running futures (unlike the executors in the standard library).
class CancelOnShutdownExecutor(CanCustomizeBind, Executor): """An executor which delegates to another executor and cancels all futures when the executor is shut down. This class is useful in conjunction with executors having custom cancel behavior, such as :class:`~more_executors.PollExecutor`. .. note:: From Python 3.9 onwards, the standard :meth:`~concurrent.futures.Executor.shutdown` method includes a ``cancel_futures`` parameter which can be used to cancel futures on shutdown. These two approaches of cancelling futures on shutdown have the following differences: - ``cancel_futures=True`` will only cancel futures which have not yet started running. - ``CancelOnShutdownExecutor`` will attempt to cancel *all* incomplete futures, including those which are running. If you're using other executors from this library and you want to ensure futures are cancelled on shutdown, ``CancelOnShutdownExecutor`` should be preferred because several of the executor classes in this library do support cancellation of running futures (unlike the executors in the standard library). """ def __init__(self, delegate, logger=None, name="default"): """ Parameters: delegate (~concurrent.futures.Executor): executor to which callables will be submitted logger (~logging.Logger): a logger used for messages from this executor name (str): a name for this executor .. versionchanged:: 2.7.0 Introduced ``name``. """ self._log = LogWrapper( logger if logger else logging.getLogger("CancelOnShutdownExecutor") ) self._name = name self._delegate = delegate self._futures = set() self._lock = RLock() self._shutdown = ShutdownHelper() metrics.EXEC_TOTAL.labels(type="cancel_on_shutdown", executor=self._name).inc() metrics.EXEC_INPROGRESS.labels( type="cancel_on_shutdown", executor=self._name ).inc() def shutdown(self, wait=True, **_kwargs): """Shut down the executor. All futures created by this executor which have not yet been completed will have :meth:`~concurrent.futures.Future.cancel` invoked. Note that there is no guarantee that the cancel will succeed, and only a single attempt is made to cancel any future. """ with self._lock: if not self._shutdown(): return metrics.EXEC_INPROGRESS.labels( type="cancel_on_shutdown", executor=self._name ).dec() futures = self._futures.copy() for f in futures: cancel = f.cancel() self._log.debug("Cancel %s: %s", f, cancel) if cancel: metrics.SHUTDOWN_CANCEL.labels(executor=self._name).inc() self._delegate.shutdown(wait, **_kwargs) def submit(self, *args, **kwargs): # pylint: disable=arguments-differ with self._shutdown.ensure_alive(): with self._lock: future = self._delegate.submit(*args, **kwargs) self._futures.add(future) future.add_done_callback(self._futures.discard) return future
(delegate, logger=None, name='default')
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708,436
more_executors._impl.wrap
__propagate_name
null
def __propagate_name(self, kwargs): for name_attr in ("_name", "_CustomizableThreadPoolExecutor__name"): if hasattr(self, name_attr) and "name" not in kwargs: kwargs["name"] = getattr(self, name_attr) return
(self, kwargs)
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708,439
more_executors._impl.cancel_on_shutdown
__init__
Parameters: delegate (~concurrent.futures.Executor): executor to which callables will be submitted logger (~logging.Logger): a logger used for messages from this executor name (str): a name for this executor .. versionchanged:: 2.7.0 Introduced ``name``.
def __init__(self, delegate, logger=None, name="default"): """ Parameters: delegate (~concurrent.futures.Executor): executor to which callables will be submitted logger (~logging.Logger): a logger used for messages from this executor name (str): a name for this executor .. versionchanged:: 2.7.0 Introduced ``name``. """ self._log = LogWrapper( logger if logger else logging.getLogger("CancelOnShutdownExecutor") ) self._name = name self._delegate = delegate self._futures = set() self._lock = RLock() self._shutdown = ShutdownHelper() metrics.EXEC_TOTAL.labels(type="cancel_on_shutdown", executor=self._name).inc() metrics.EXEC_INPROGRESS.labels( type="cancel_on_shutdown", executor=self._name ).inc()
(self, delegate, logger=None, name='default')
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708,440
more_executors._impl.wrap
bind
null
def bind(self, *args, **kwargs): from .executors import Executors return Executors.bind(self, *args, **kwargs)
(self, *args, **kwargs)
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708,441
more_executors._impl.wrap
flat_bind
null
def flat_bind(self, *args, **kwargs): from .executors import Executors return Executors.flat_bind(self, *args, **kwargs)
(self, *args, **kwargs)
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708,443
more_executors._impl.cancel_on_shutdown
shutdown
Shut down the executor. All futures created by this executor which have not yet been completed will have :meth:`~concurrent.futures.Future.cancel` invoked. Note that there is no guarantee that the cancel will succeed, and only a single attempt is made to cancel any future.
def shutdown(self, wait=True, **_kwargs): """Shut down the executor. All futures created by this executor which have not yet been completed will have :meth:`~concurrent.futures.Future.cancel` invoked. Note that there is no guarantee that the cancel will succeed, and only a single attempt is made to cancel any future. """ with self._lock: if not self._shutdown(): return metrics.EXEC_INPROGRESS.labels( type="cancel_on_shutdown", executor=self._name ).dec() futures = self._futures.copy() for f in futures: cancel = f.cancel() self._log.debug("Cancel %s: %s", f, cancel) if cancel: metrics.SHUTDOWN_CANCEL.labels(executor=self._name).inc() self._delegate.shutdown(wait, **_kwargs)
(self, wait=True, **_kwargs)
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708,444
more_executors._impl.cancel_on_shutdown
submit
null
def submit(self, *args, **kwargs): # pylint: disable=arguments-differ with self._shutdown.ensure_alive(): with self._lock: future = self._delegate.submit(*args, **kwargs) self._futures.add(future) future.add_done_callback(self._futures.discard) return future
(self, *args, **kwargs)
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708,445
more_executors._impl.wrap
with_asyncio
null
def with_asyncio(self, *args, **kwargs): from .executors import Executors self.__propagate_name(kwargs) return Executors.with_asyncio(self, *args, **kwargs)
(self, *args, **kwargs)
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708,446
more_executors._impl.wrap
with_cancel_on_shutdown
null
def with_cancel_on_shutdown(self, *args, **kwargs): from .executors import Executors self.__propagate_name(kwargs) return Executors.with_cancel_on_shutdown(self, *args, **kwargs)
(self, *args, **kwargs)
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708,447
more_executors._impl.wrap
with_flat_map
null
def with_flat_map(self, *args, **kwargs): from .executors import Executors self.__propagate_name(kwargs) return Executors.with_flat_map(self, *args, **kwargs)
(self, *args, **kwargs)
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708,448
more_executors._impl.wrap
with_map
null
def with_map(self, *args, **kwargs): from .executors import Executors self.__propagate_name(kwargs) return Executors.with_map(self, *args, **kwargs)
(self, *args, **kwargs)
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708,449
more_executors._impl.wrap
with_poll
null
def with_poll(self, *args, **kwargs): from .executors import Executors self.__propagate_name(kwargs) return Executors.with_poll(self, *args, **kwargs)
(self, *args, **kwargs)
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708,450
more_executors._impl.wrap
with_retry
null
def with_retry(self, *args, **kwargs): from .executors import Executors self.__propagate_name(kwargs) return Executors.with_retry(self, *args, **kwargs)
(self, *args, **kwargs)
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708,451
more_executors._impl.wrap
with_throttle
null
def with_throttle(self, *args, **kwargs): from .executors import Executors self.__propagate_name(kwargs) return Executors.with_throttle(self, *args, **kwargs)
(self, *args, **kwargs)
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708,452
more_executors._impl.wrap
with_timeout
null
def with_timeout(self, *args, **kwargs): from .executors import Executors self.__propagate_name(kwargs) return Executors.with_timeout(self, *args, **kwargs)
(self, *args, **kwargs)
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708,453
more_executors._impl.retry
ExceptionRetryPolicy
Retries on any exceptions under the given base class(es), up to a fixed number of attempts, with an exponential backoff between each attempt.
class ExceptionRetryPolicy(RetryPolicy): """Retries on any exceptions under the given base class(es), up to a fixed number of attempts, with an exponential backoff between each attempt.""" def __init__(self, **kwargs): """ Parameters: max_attempts (int): maximum number of times a callable should be attempted exponent (float): exponent used for backoff, e.g. 2.0 will result in a delay which doubles between each attempt sleep (float): base value for delay between attempts in seconds, e.g. 1.0 will delay by one second between first two attempts max_sleep (float): maximum delay between attempts, in seconds exception_base (type, list(type)): future will be retried if (and only if) it raises an exception inheriting from one of these classes All parameters are optional; reasonable defaults apply when omitted. """ self._max_attempts = kwargs.get("max_attempts", 3) self._exponent = kwargs.get("exponent", 2.0) self._sleep = kwargs.get("sleep", 1.0) self._max_sleep = kwargs.get("max_sleep", 120) self._exception_base = kwargs.get("exception_base", Exception) if isinstance(self._exception_base, type): self._exception_base = [self._exception_base] def should_retry(self, attempt, future): exception = future.exception() if not exception: return False if attempt >= self._max_attempts: return False for klass in self._exception_base: if isinstance(exception, klass): return True return False def sleep_time(self, attempt, future): return min(self._sleep * (self._exponent ** (attempt - 1)), self._max_sleep)
(**kwargs)
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708,454
more_executors._impl.retry
__init__
Parameters: max_attempts (int): maximum number of times a callable should be attempted exponent (float): exponent used for backoff, e.g. 2.0 will result in a delay which doubles between each attempt sleep (float): base value for delay between attempts in seconds, e.g. 1.0 will delay by one second between first two attempts max_sleep (float): maximum delay between attempts, in seconds exception_base (type, list(type)): future will be retried if (and only if) it raises an exception inheriting from one of these classes All parameters are optional; reasonable defaults apply when omitted.
def __init__(self, **kwargs): """ Parameters: max_attempts (int): maximum number of times a callable should be attempted exponent (float): exponent used for backoff, e.g. 2.0 will result in a delay which doubles between each attempt sleep (float): base value for delay between attempts in seconds, e.g. 1.0 will delay by one second between first two attempts max_sleep (float): maximum delay between attempts, in seconds exception_base (type, list(type)): future will be retried if (and only if) it raises an exception inheriting from one of these classes All parameters are optional; reasonable defaults apply when omitted. """ self._max_attempts = kwargs.get("max_attempts", 3) self._exponent = kwargs.get("exponent", 2.0) self._sleep = kwargs.get("sleep", 1.0) self._max_sleep = kwargs.get("max_sleep", 120) self._exception_base = kwargs.get("exception_base", Exception) if isinstance(self._exception_base, type): self._exception_base = [self._exception_base]
(self, **kwargs)
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708,455
more_executors._impl.retry
should_retry
null
def should_retry(self, attempt, future): exception = future.exception() if not exception: return False if attempt >= self._max_attempts: return False for klass in self._exception_base: if isinstance(exception, klass): return True return False
(self, attempt, future)
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708,456
more_executors._impl.retry
sleep_time
null
def sleep_time(self, attempt, future): return min(self._sleep * (self._exponent ** (attempt - 1)), self._max_sleep)
(self, attempt, future)
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708,457
more_executors._impl.executors
Executors
Convenience methods for creating executors. This class produces wrapped executors which may be customized by use of the `with_*` methods, as in the following example: >>> Executors.thread_pool(max_workers=4).with_retry().with_map(lambda x: x*2) Produces a thread pool executor which will retry on failure and multiply all output values by 2.
class Executors(object): """Convenience methods for creating executors. This class produces wrapped executors which may be customized by use of the `with_*` methods, as in the following example: >>> Executors.thread_pool(max_workers=4).with_retry().with_map(lambda x: x*2) Produces a thread pool executor which will retry on failure and multiply all output values by 2.""" @classmethod def bind(cls, executor, fn): """Bind a synchronous callable to an executor. If the callable returns a future, consider using :meth:`flat_bind` instead. Arguments: executor (~concurrent.futures.Executor): an executor fn (callable): any function or callable Returns: callable: A new callable which, when invoked, will submit `fn` to `executor` and return the resulting future. This returned callable provides the `Executors.with_*` methods, which may be chained to further customize the behavior of the callable. .. versionadded:: 1.13.0 """ return BoundCallable(executor, fn) @classmethod def flat_bind(cls, executor, fn): """Bind an asynchronous callable to an executor. This convenience method should be used in preference to :meth:`bind` when the bound callable returns a future, in order to avoid a nested future in the returned value. It is equivalent to: >>> bind(fn).with_flat_map(lambda future: future) Arguments: executor (~concurrent.futures.Executor): an executor fn (callable): any function or callable which returns a future Returns: callable: A new callable which, when invoked, will submit `fn` to `executor` and return the resulting (flattened) future. This returned callable provides the `Executors.with_*` methods, which may be chained to further customize the behavior of the callable. .. versionadded:: 1.16.0 """ return cls.bind(executor, fn).with_flat_map(lambda f: f) @classmethod def thread_pool(cls, *args, **kwargs): """Create a thread pool executor. Returns: ~concurrent.futures.ThreadPoolExecutor: a new executor, initialized with the given arguments """ return CustomizableThreadPoolExecutor(*args, **kwargs) @classmethod def process_pool(cls, *args, **kwargs): """Create a process pool executor. Returns: ~concurrent.futures.ProcessPoolExecutor: a new executor, initialized with the given arguments """ return CustomizableProcessPoolExecutor(*args, **kwargs) @classmethod def sync(cls, *args, **kwargs): """Creates a new synchronous executor. Returns: ~more_executors.SyncExecutor: a new synchronous executor Submitted functions will be immediately invoked on the calling thread.""" return SyncExecutor(*args, **kwargs) @classmethod def _customize(cls, delegate, executor_class, *args, **kwargs): if isinstance(delegate, BoundCallable): executor = delegate._BoundCallable__executor bound_fn = delegate._BoundCallable__fn new_executor = executor_class(executor, *args, **kwargs) return cls.bind(new_executor, bound_fn) return executor_class(delegate, *args, **kwargs) @classmethod def with_retry(cls, executor, *args, **kwargs): """ Returns: ~more_executors.RetryExecutor: a new executor which will retry callables on failure """ return cls._customize(executor, RetryExecutor, *args, **kwargs) @classmethod def with_map(cls, executor, *args, **kwargs): """ Returns: ~more_executors.MapExecutor: a new executor which will transform results through the given function """ return cls._customize(executor, MapExecutor, *args, **kwargs) @classmethod def with_flat_map(cls, executor, *args, **kwargs): """ Returns: ~more_executors.FlatMapExecutor: a new executor which will transform results through the given :class:`~concurrent.futures.Future`-providing function .. versionadded:: 1.12.0 """ return cls._customize(executor, FlatMapExecutor, *args, **kwargs) @classmethod def with_poll(cls, executor, *args, **kwargs): """ Returns: ~more_executors.PollExecutor: a new executor which produces polled futures. Submitted callables will have their output passed into a poll function. """ return cls._customize(executor, PollExecutor, *args, **kwargs) @classmethod def with_timeout(cls, executor, *args, **kwargs): """ Returns: ~more_executors.TimeoutExecutor: a new executor which will attempt to cancel any futures if they've not completed within the given timeout. .. versionadded:: 1.7.0 """ return cls._customize(executor, TimeoutExecutor, *args, **kwargs) @classmethod def with_throttle(cls, executor, *args, **kwargs): """ Returns: ~more_executors.ThrottleExecutor: a new executor which enforces a limit on the number of concurrently pending futures. .. versionadded:: 1.9.0 """ return cls._customize(executor, ThrottleExecutor, *args, **kwargs) @classmethod def with_cancel_on_shutdown(cls, executor, *args, **kwargs): """ Returns: ~more_executors.CancelOnShutdownExecutor: a new executor which attempts to cancel any pending futures when the executor is shut down. """ return cls._customize(executor, CancelOnShutdownExecutor, *args, **kwargs) @classmethod def with_asyncio(cls, executor, *args, **kwargs): """ Returns: ~more_executors.AsyncioExecutor: a new executor which returns :class:`asyncio.Future` instances rather than :class:`concurrent.futures.Future` instances, i.e. may be used with the `await` keyword and coroutines. .. note:: Since the other executors from :class:`Executors` class are designed for use with :class:`concurrent.futures.Future`, if an executor is being configured using chained `with_*` methods, this must be the last method called. .. note:: Only usable for Python >= 3.5. .. versionadded:: 1.7.0 """ return cls._customize(executor, AsyncioExecutor, *args, **kwargs)
()
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708,458
more_executors._impl.flat_map
FlatMapExecutor
An executor which delegates to another executor while mapping output values through given future-producing functions. This executor behaves like :class:`~more_executors.MapExecutor`, except that the given mapping/error functions must return instances of :class:`~concurrent.futures.Future`, and the mapped future is flattened into the future returned from this executor. This allows chaining multiple future-producing functions into a single future. - If the map/error function returns a :class:`~concurrent.futures.Future`, the result/exception of that future will be propagated to the future returned by this executor. - If the map/error function returns any other type, the returned future will fail with a :class:`TypeError`. - If the map/error function raises an exception, the returned future will fail with that exception. .. versionadded: 1.12.0
class FlatMapExecutor(MapExecutor): """An executor which delegates to another executor while mapping output values through given future-producing functions. This executor behaves like :class:`~more_executors.MapExecutor`, except that the given mapping/error functions must return instances of :class:`~concurrent.futures.Future`, and the mapped future is flattened into the future returned from this executor. This allows chaining multiple future-producing functions into a single future. - If the map/error function returns a :class:`~concurrent.futures.Future`, the result/exception of that future will be propagated to the future returned by this executor. - If the map/error function returns any other type, the returned future will fail with a :class:`TypeError`. - If the map/error function raises an exception, the returned future will fail with that exception. .. versionadded: 1.12.0 """ _FUTURE_CLASS = FlatMapFuture _TYPE = "flat_map"
(delegate, fn=None, logger=None, name='default', **kwargs)
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708,462
more_executors._impl.map
__init__
Arguments: delegate (~concurrent.futures.Executor): an executor to which callables will be submitted fn (callable): a callable applied to transform returned values of successful futures. This callable will be invoked with a single argument: the ``result()`` returned from a successful future. If omitted, no transformation occurs on ``result()``. error_fn (callable): a callable applied to transform returned values of unsuccessful futures. This callable will be invoked with a single argument: the ``exception()`` returned from a failed future. If omitted, no transformation occurs on ``exception()``. logger (~logging.Logger): a logger used for messages from this executor name (str): a name for this executor .. versionchanged:: 2.2.0 Introduced ``error_fn``. .. versionchanged:: 2.7.0 Introduced ``name``.
def __init__(self, delegate, fn=None, logger=None, name="default", **kwargs): """ Arguments: delegate (~concurrent.futures.Executor): an executor to which callables will be submitted fn (callable): a callable applied to transform returned values of successful futures. This callable will be invoked with a single argument: the ``result()`` returned from a successful future. If omitted, no transformation occurs on ``result()``. error_fn (callable): a callable applied to transform returned values of unsuccessful futures. This callable will be invoked with a single argument: the ``exception()`` returned from a failed future. If omitted, no transformation occurs on ``exception()``. logger (~logging.Logger): a logger used for messages from this executor name (str): a name for this executor .. versionchanged:: 2.2.0 Introduced ``error_fn``. .. versionchanged:: 2.7.0 Introduced ``name``. """ self._delegate = delegate self._fn = fn self._name = name self._shutdown = ShutdownHelper() self._error_fn = kwargs.get("error_fn") self._metric_exec_total.inc() self._metric_exec_inprogress.inc()
(self, delegate, fn=None, logger=None, name='default', **kwargs)
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708,466
more_executors._impl.map
shutdown
null
def shutdown(self, wait=True, **_kwargs): if self._shutdown(): self._metric_exec_inprogress.dec() self._delegate.shutdown(wait, **_kwargs)
(self, wait=True, **_kwargs)
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708,467
more_executors._impl.map
submit
null
def submit(self, *args, **kwargs): # pylint: disable=arguments-differ with self._shutdown.ensure_alive(): inner_f = self._delegate.submit(*args, **kwargs) return track_future( self._FUTURE_CLASS(inner_f, self._fn, self._error_fn), type=self._TYPE, executor=self._name, )
(self, *args, **kwargs)
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708,476
more_executors._impl.map
MapExecutor
An executor which delegates to another executor while mapping output values/exceptions through given functions.
class MapExecutor(CanCustomizeBind, Executor): """An executor which delegates to another executor while mapping output values/exceptions through given functions. """ _FUTURE_CLASS = MapFuture _TYPE = "map" @property def _metric_exec_total(self): return metrics.EXEC_TOTAL.labels(type=self._TYPE, executor=self._name) @property def _metric_exec_inprogress(self): return metrics.EXEC_INPROGRESS.labels(type=self._TYPE, executor=self._name) def __init__(self, delegate, fn=None, logger=None, name="default", **kwargs): """ Arguments: delegate (~concurrent.futures.Executor): an executor to which callables will be submitted fn (callable): a callable applied to transform returned values of successful futures. This callable will be invoked with a single argument: the ``result()`` returned from a successful future. If omitted, no transformation occurs on ``result()``. error_fn (callable): a callable applied to transform returned values of unsuccessful futures. This callable will be invoked with a single argument: the ``exception()`` returned from a failed future. If omitted, no transformation occurs on ``exception()``. logger (~logging.Logger): a logger used for messages from this executor name (str): a name for this executor .. versionchanged:: 2.2.0 Introduced ``error_fn``. .. versionchanged:: 2.7.0 Introduced ``name``. """ self._delegate = delegate self._fn = fn self._name = name self._shutdown = ShutdownHelper() self._error_fn = kwargs.get("error_fn") self._metric_exec_total.inc() self._metric_exec_inprogress.inc() def shutdown(self, wait=True, **_kwargs): if self._shutdown(): self._metric_exec_inprogress.dec() self._delegate.shutdown(wait, **_kwargs) def submit(self, *args, **kwargs): # pylint: disable=arguments-differ with self._shutdown.ensure_alive(): inner_f = self._delegate.submit(*args, **kwargs) return track_future( self._FUTURE_CLASS(inner_f, self._fn, self._error_fn), type=self._TYPE, executor=self._name, )
(delegate, fn=None, logger=None, name='default', **kwargs)
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708,494
more_executors._impl.poll
PollDescriptor
Represents an unresolved :class:`~concurrent.futures.Future`. The poll function used by :class:`PollExecutor` will be invoked with a list of PollDescriptor objects.
class PollDescriptor(object): """Represents an unresolved :class:`~concurrent.futures.Future`. The poll function used by :class:`PollExecutor` will be invoked with a list of PollDescriptor objects. """ def __init__(self, future, result): self.__future = future self.__result = result @property def result(self): """The result from the delegate executor's future, which should be used to drive the poll.""" return self.__result def yield_result(self, result): """The poll function can call this function to make the future yield the given result. Arguments: result (object): a result to be returned by the future associated with this descriptor """ try_set_result(self.__future, result) def yield_exception(self, exception, traceback=None): """The poll function can call this function to make the future raise the given exception. Arguments: exception (Exception): An exception to be returned or raised by the future associated with this descriptor traceback (traceback): An optional associated traceback. This argument only has an effect on python 2.x, where exception objects do not include a traceback. """ copy_exception(self.__future, exception, traceback)
(future, result)
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708,495
more_executors._impl.poll
__init__
null
def __init__(self, future, result): self.__future = future self.__result = result
(self, future, result)
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708,496
more_executors._impl.poll
yield_exception
The poll function can call this function to make the future raise the given exception. Arguments: exception (Exception): An exception to be returned or raised by the future associated with this descriptor traceback (traceback): An optional associated traceback. This argument only has an effect on python 2.x, where exception objects do not include a traceback.
def yield_exception(self, exception, traceback=None): """The poll function can call this function to make the future raise the given exception. Arguments: exception (Exception): An exception to be returned or raised by the future associated with this descriptor traceback (traceback): An optional associated traceback. This argument only has an effect on python 2.x, where exception objects do not include a traceback. """ copy_exception(self.__future, exception, traceback)
(self, exception, traceback=None)
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708,497
more_executors._impl.poll
yield_result
The poll function can call this function to make the future yield the given result. Arguments: result (object): a result to be returned by the future associated with this descriptor
def yield_result(self, result): """The poll function can call this function to make the future yield the given result. Arguments: result (object): a result to be returned by the future associated with this descriptor """ try_set_result(self.__future, result)
(self, result)
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708,498
more_executors._impl.poll
PollExecutor
Instances of `PollExecutor` submit callables to a delegate executor and resolve the returned futures via a provided poll function. A cancel function may also be provided to perform additional processing when a returned future is cancelled.
class PollExecutor(CanCustomizeBind, Executor): """Instances of `PollExecutor` submit callables to a delegate executor and resolve the returned futures via a provided poll function. A cancel function may also be provided to perform additional processing when a returned future is cancelled. """ def __init__( self, delegate, poll_fn, cancel_fn=None, default_interval=5.0, logger=None, name="default", ): """ Parameters: delegate (~concurrent.futures.Executor): executor to which callables will be submitted poll_fn (callable): a `poll function`_ used to decide when futures should be resolved cancel_fn (callable): a `cancel function`_ invoked when future cancel is required default_interval (float): default interval between polls (in seconds) logger (~logging.Logger): a logger used for messages from this executor name (str): a name for this executor .. versionchanged:: 2.7.0 Introduced ``name``. """ self._log = LogWrapper(logger if logger else logging.getLogger("PollExecutor")) self._name = name self._delegate = delegate self._default_interval = default_interval self._poll_fn = poll_fn self._cancel_fn = cancel_fn self._poll_descriptors = [] self._poll_event = get_event() poll_event = self._poll_event self_ref = weakref.ref(self, lambda _: poll_event.set()) self._poll_thread = Thread( name="PollExecutor-%s" % name, target=_poll_loop, args=(self_ref,) ) self._poll_thread.daemon = True self._shutdown = ShutdownHelper() self._lock = RLock() metrics.EXEC_TOTAL.labels(type="poll", executor=self._name).inc() metrics.EXEC_INPROGRESS.labels(type="poll", executor=self._name).inc() self._poll_thread.start() def submit(self, *args, **kwargs): # pylint: disable=arguments-differ with self._shutdown.ensure_alive(): delegate_future = self._delegate.submit(*args, **kwargs) out = PollFuture(delegate_future, self) track_future(out, type="poll", executor=self._name) return out def notify(self): """Request the executor to re-run the polling function as soon as possible. This method may be used to perform the next poll earlier than it would otherwise run. This is useful for cases where futures may be resolved via a mixture of polling and external events. .. versionadded:: 2.2.0 """ self._poll_event.set() def _register_poll(self, future, delegate_future): descriptor = PollDescriptor(future, delegate_future.result()) with self._lock: self._poll_descriptors.append((future, descriptor)) future._clear_delegate() self._poll_event.set() def _deregister_poll(self, future): with self._lock: self._poll_descriptors = [ (f, d) for (f, d) in self._poll_descriptors if f is not future ] def _run_cancel_fn(self, future): if not self._cancel_fn: # no cancel function => no veto of cancel return True descriptor = [d for (f, d) in self._poll_descriptors if f is future] if not descriptor: # no record of this future => no veto of cancel. # we can get here if the future is already done # or if polling hasn't started yet return True assert len(descriptor) == 1, "Too many poll descriptors for %s" % future descriptor = descriptor[0] try: return self._cancel_fn(descriptor.result) except Exception: self._log.exception( "Exception during cancel on %s/%s", future, descriptor.result ) return False def _run_poll_fn(self): with self._lock: descriptors = [d for (_, d) in self._poll_descriptors] try: now = monotonic() return self._poll_fn(descriptors) except Exception as e: self._log.debug("Poll function failed", exc_info=True) metrics.POLL_ERROR.labels(executor=self._name).inc() # If poll function fails, then every future # depending on the poll also immediately fails. [d.yield_exception(e) for d in descriptors] finally: metrics.POLL_TOTAL.labels(executor=self._name).inc() metrics.POLL_TIME.labels(executor=self._name).inc(monotonic() - now) def shutdown(self, wait=True, **_kwargs): if self._shutdown(): metrics.EXEC_INPROGRESS.labels(type="poll", executor=self._name).dec() self._poll_event.set() self._delegate.shutdown(wait, **_kwargs) if wait: self._log.debug("Join poll thread...") self._poll_thread.join(MAX_TIMEOUT) self._log.debug("Joined poll thread.")
(delegate, poll_fn, cancel_fn=None, default_interval=5.0, logger=None, name='default')
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708,502
more_executors._impl.poll
__init__
Parameters: delegate (~concurrent.futures.Executor): executor to which callables will be submitted poll_fn (callable): a `poll function`_ used to decide when futures should be resolved cancel_fn (callable): a `cancel function`_ invoked when future cancel is required default_interval (float): default interval between polls (in seconds) logger (~logging.Logger): a logger used for messages from this executor name (str): a name for this executor .. versionchanged:: 2.7.0 Introduced ``name``.
def __init__( self, delegate, poll_fn, cancel_fn=None, default_interval=5.0, logger=None, name="default", ): """ Parameters: delegate (~concurrent.futures.Executor): executor to which callables will be submitted poll_fn (callable): a `poll function`_ used to decide when futures should be resolved cancel_fn (callable): a `cancel function`_ invoked when future cancel is required default_interval (float): default interval between polls (in seconds) logger (~logging.Logger): a logger used for messages from this executor name (str): a name for this executor .. versionchanged:: 2.7.0 Introduced ``name``. """ self._log = LogWrapper(logger if logger else logging.getLogger("PollExecutor")) self._name = name self._delegate = delegate self._default_interval = default_interval self._poll_fn = poll_fn self._cancel_fn = cancel_fn self._poll_descriptors = [] self._poll_event = get_event() poll_event = self._poll_event self_ref = weakref.ref(self, lambda _: poll_event.set()) self._poll_thread = Thread( name="PollExecutor-%s" % name, target=_poll_loop, args=(self_ref,) ) self._poll_thread.daemon = True self._shutdown = ShutdownHelper() self._lock = RLock() metrics.EXEC_TOTAL.labels(type="poll", executor=self._name).inc() metrics.EXEC_INPROGRESS.labels(type="poll", executor=self._name).inc() self._poll_thread.start()
(self, delegate, poll_fn, cancel_fn=None, default_interval=5.0, logger=None, name='default')
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708,503
more_executors._impl.poll
_deregister_poll
null
def _deregister_poll(self, future): with self._lock: self._poll_descriptors = [ (f, d) for (f, d) in self._poll_descriptors if f is not future ]
(self, future)
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708,504
more_executors._impl.poll
_register_poll
null
def _register_poll(self, future, delegate_future): descriptor = PollDescriptor(future, delegate_future.result()) with self._lock: self._poll_descriptors.append((future, descriptor)) future._clear_delegate() self._poll_event.set()
(self, future, delegate_future)
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708,505
more_executors._impl.poll
_run_cancel_fn
null
def _run_cancel_fn(self, future): if not self._cancel_fn: # no cancel function => no veto of cancel return True descriptor = [d for (f, d) in self._poll_descriptors if f is future] if not descriptor: # no record of this future => no veto of cancel. # we can get here if the future is already done # or if polling hasn't started yet return True assert len(descriptor) == 1, "Too many poll descriptors for %s" % future descriptor = descriptor[0] try: return self._cancel_fn(descriptor.result) except Exception: self._log.exception( "Exception during cancel on %s/%s", future, descriptor.result ) return False
(self, future)
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708,506
more_executors._impl.poll
_run_poll_fn
null
def _run_poll_fn(self): with self._lock: descriptors = [d for (_, d) in self._poll_descriptors] try: now = monotonic() return self._poll_fn(descriptors) except Exception as e: self._log.debug("Poll function failed", exc_info=True) metrics.POLL_ERROR.labels(executor=self._name).inc() # If poll function fails, then every future # depending on the poll also immediately fails. [d.yield_exception(e) for d in descriptors] finally: metrics.POLL_TOTAL.labels(executor=self._name).inc() metrics.POLL_TIME.labels(executor=self._name).inc(monotonic() - now)
(self)
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708,510
more_executors._impl.poll
notify
Request the executor to re-run the polling function as soon as possible. This method may be used to perform the next poll earlier than it would otherwise run. This is useful for cases where futures may be resolved via a mixture of polling and external events. .. versionadded:: 2.2.0
def notify(self): """Request the executor to re-run the polling function as soon as possible. This method may be used to perform the next poll earlier than it would otherwise run. This is useful for cases where futures may be resolved via a mixture of polling and external events. .. versionadded:: 2.2.0 """ self._poll_event.set()
(self)
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708,511
more_executors._impl.poll
shutdown
null
def shutdown(self, wait=True, **_kwargs): if self._shutdown(): metrics.EXEC_INPROGRESS.labels(type="poll", executor=self._name).dec() self._poll_event.set() self._delegate.shutdown(wait, **_kwargs) if wait: self._log.debug("Join poll thread...") self._poll_thread.join(MAX_TIMEOUT) self._log.debug("Joined poll thread.")
(self, wait=True, **_kwargs)
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708,512
more_executors._impl.poll
submit
null
def submit(self, *args, **kwargs): # pylint: disable=arguments-differ with self._shutdown.ensure_alive(): delegate_future = self._delegate.submit(*args, **kwargs) out = PollFuture(delegate_future, self) track_future(out, type="poll", executor=self._name) return out
(self, *args, **kwargs)
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708,521
more_executors._impl.retry
RetryExecutor
An executor which delegates to another executor while adding implicit retry behavior. - Callables are submitted to the delegate executor, and may be submitted more than once if retries are required. - The callables may be submitted to that executor from a different thread than the calling thread. - Cancelling is supported if the delegate executor allows it. - Cancelling between retries is always supported. - Attempting to cancel a future prevents any more retries, regardless of whether the cancel succeeds. - The returned futures from this executor are only resolved or failed once the callable either succeeded, or all retries were exhausted. This includes activation of the done callback. - This executor is thread-safe.
class RetryExecutor(CanCustomizeBind, Executor): """An executor which delegates to another executor while adding implicit retry behavior. - Callables are submitted to the delegate executor, and may be submitted more than once if retries are required. - The callables may be submitted to that executor from a different thread than the calling thread. - Cancelling is supported if the delegate executor allows it. - Cancelling between retries is always supported. - Attempting to cancel a future prevents any more retries, regardless of whether the cancel succeeds. - The returned futures from this executor are only resolved or failed once the callable either succeeded, or all retries were exhausted. This includes activation of the done callback. - This executor is thread-safe. """ def __init__( self, delegate, retry_policy=None, logger=None, name="default", **kwargs ): """ Parameters: delegate (~concurrent.futures.Executor): executor to which callables will be submitted retry_policy (RetryPolicy): policy used to determine when futures shall be retried; if omitted, an :class:`ExceptionRetryPolicy` is used, supplied with keyword arguments to this constructor logger (~logging.Logger): a logger used for messages from this executor name (str): a name for this executor .. versionchanged:: 2.7.0 Introduced ``name``. """ self._log = LogWrapper(logger if logger else logging.getLogger("RetryExecutor")) self._delegate = delegate self._default_retry_policy = retry_policy or ExceptionRetryPolicy(**kwargs) self._jobs = [] self._submit_event = get_event() self._name = name event = self._submit_event self_ref = weakref.ref(self, lambda _: event.set()) self._submit_thread = Thread( name="RetryExecutor-%s" % name, target=_submit_loop, args=(self_ref,) ) self._submit_thread.daemon = True self._shutdown = ShutdownHelper() self._lock = RLock() metrics.EXEC_INPROGRESS.labels(executor=self._name, type="retry").inc() metrics.EXEC_TOTAL.labels(executor=self._name, type="retry").inc() self._submit_thread.start() def shutdown(self, wait=True, **_kwargs): if self._shutdown(): self._log.debug("Shutting down.") metrics.EXEC_INPROGRESS.labels(executor=self._name, type="retry").dec() self._wake_thread() self._delegate.shutdown(wait, **_kwargs) if wait: self._log.debug("Waiting for thread") self._submit_thread.join(MAX_TIMEOUT) self._log.debug("Shutdown complete") def submit(self, *args, **kwargs): # pylint: disable=arguments-differ return self.submit_retry(self._default_retry_policy, *args, **kwargs) def submit_retry(self, retry_policy, fn, *args, **kwargs): """Submit a callable with a specific retry policy. Parameters: retry_policy (RetryPolicy): a policy which is used for this call only """ with self._shutdown.ensure_alive(): future = RetryFuture(self) track_future(future, type="retry", executor=self._name) job = RetryJob(retry_policy, None, future, 0, monotonic(), fn, args, kwargs) self._append_job(job) # Let the submit thread know it should wake up to check for new jobs self._wake_thread() self._log.debug("Returning future %s", future) return future def _wake_thread(self): self._submit_event.set() def _get_next_job(self): # Find and return the next job to be handled, if any. # This means a job with when < now, or with stop_retry == True, # or if there's none, then the job with the minimum value of when. min_job = None now = monotonic() for job in self._jobs: if job.delegate_future: # It's already running, skip continue if job.stop_retry: # We've been requested to stop retrying this job, # and we can handle that immediately return job if job.when <= now: # job is overdue, just do it return job if not min_job: min_job = job elif job.when < min_job.when: min_job = job return min_job def _submit_now(self, job): # Pop job since we'll replace it. # We need to hold the lock for the entire duration so that other # threads won't see _jobs between our removal and re-add of the job with job.future._me_lock: with self._lock: self._pop_job(job) # We need the future's lock now too, because someone could # call cancel after this check and before we submit. if job.future.done(): self._log.debug( "future done %s - not submitting to delegate", job.future ) return if job.attempt != 0: metrics.RETRY_TOTAL.labels(executor=self._name).inc() delegate_future = self._delegate.submit(job.fn, *job.args, **job.kwargs) job.future.delegate_future = delegate_future new_job = RetryJob( job.policy, delegate_future, job.future, job.attempt + 1, None, job.fn, job.args, job.kwargs, ) self._append_job(new_job) self._log.debug("Submitted: %s", new_job) delegate_future.add_done_callback(self._delegate_callback) self._wake_thread() def _pop_job(self, job): with self._lock: for idx, pending in enumerate(self._jobs): if pending is job: metrics.RETRY_QUEUE.labels(executor=self._name).dec() return self._jobs.pop(idx) def _append_job(self, job): with self._lock: metrics.RETRY_QUEUE.labels(executor=self._name).inc() self._jobs.append(job) def _retry(self, job, sleep_time): self._log.debug("Will retry: %s", job) with self._lock: self._pop_job(job) metrics.RETRY_DELAY.labels(executor=self._name).inc(sleep_time) new_job = RetryJob( job.policy, None, job.future, job.attempt, monotonic() + sleep_time, job.fn, job.args, job.kwargs, # The old delegate future is retained in case we need # to propagate its exception later old_delegate=job.delegate_future, ) new_job.stop_retry = job.stop_retry self._append_job(new_job) self._wake_thread() def _cancel(self, future): found_job = None with self._lock: for idx, job in enumerate(self._jobs): if job.future is future: self._log.debug("Try cancel: %s", job) if not job.delegate_future: self._log.debug("Successful cancel - no delegate: %s", job) self._jobs.pop(idx) return True found_job = job # Whether or not we can successfully cancel, the request to cancel # means that we don't want to retry any more. found_job.stop_retry = True break # This shouldn't be possible. # - Future holds a lock on itself, and has checked that it's not already done
(delegate, retry_policy=None, logger=None, name='default', **kwargs)
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708,525
more_executors._impl.retry
__init__
Parameters: delegate (~concurrent.futures.Executor): executor to which callables will be submitted retry_policy (RetryPolicy): policy used to determine when futures shall be retried; if omitted, an :class:`ExceptionRetryPolicy` is used, supplied with keyword arguments to this constructor logger (~logging.Logger): a logger used for messages from this executor name (str): a name for this executor .. versionchanged:: 2.7.0 Introduced ``name``.
def __init__( self, delegate, retry_policy=None, logger=None, name="default", **kwargs ): """ Parameters: delegate (~concurrent.futures.Executor): executor to which callables will be submitted retry_policy (RetryPolicy): policy used to determine when futures shall be retried; if omitted, an :class:`ExceptionRetryPolicy` is used, supplied with keyword arguments to this constructor logger (~logging.Logger): a logger used for messages from this executor name (str): a name for this executor .. versionchanged:: 2.7.0 Introduced ``name``. """ self._log = LogWrapper(logger if logger else logging.getLogger("RetryExecutor")) self._delegate = delegate self._default_retry_policy = retry_policy or ExceptionRetryPolicy(**kwargs) self._jobs = [] self._submit_event = get_event() self._name = name event = self._submit_event self_ref = weakref.ref(self, lambda _: event.set()) self._submit_thread = Thread( name="RetryExecutor-%s" % name, target=_submit_loop, args=(self_ref,) ) self._submit_thread.daemon = True self._shutdown = ShutdownHelper() self._lock = RLock() metrics.EXEC_INPROGRESS.labels(executor=self._name, type="retry").inc() metrics.EXEC_TOTAL.labels(executor=self._name, type="retry").inc() self._submit_thread.start()
(self, delegate, retry_policy=None, logger=None, name='default', **kwargs)
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708,526
more_executors._impl.retry
_append_job
null
def _append_job(self, job): with self._lock: metrics.RETRY_QUEUE.labels(executor=self._name).inc() self._jobs.append(job)
(self, job)
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708,527
more_executors._impl.retry
_cancel
null
def _cancel(self, future): found_job = None with self._lock: for idx, job in enumerate(self._jobs): if job.future is future: self._log.debug("Try cancel: %s", job) if not job.delegate_future: self._log.debug("Successful cancel - no delegate: %s", job) self._jobs.pop(idx) return True found_job = job # Whether or not we can successfully cancel, the request to cancel # means that we don't want to retry any more. found_job.stop_retry = True break # This shouldn't be possible. # - Future holds a lock on itself, and has checked that it's not already done # - The only other path for removing a job is in delegate_callback, but the # job is only removed *after* set_result/set_exception which would wait # for the future's lock. assert found_job, "Cancel called on orphan %s" % future self._log.debug("Try cancel delegate: %s", found_job) if found_job.delegate_future.cancel(): self._log.debug("Successful cancel: %s", found_job) future._clear_delegate() # Don't remove from _jobs here, # the callback attached to delegate_future was expected # to take care of that return True self._log.debug("Could not cancel: %s", found_job) # Let the submit thread wake up and find that we've set stop_retry self._wake_thread() return False
(self, future)
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708,528
more_executors._impl.retry
_delegate_callback
null
def _delegate_callback(self, delegate_future): assert delegate_future.done(), "BUG: callback invoked while future not done!" self._log.debug("Callback activated for %s", delegate_future) found_job = None for job in self._jobs[:]: if job.delegate_future == delegate_future: found_job = job break # Callbacks are only installed after a job is added, and this is # the only place a job with a delegate associated will be removed, # thus it should not be possible for a job to be missing. assert found_job, "BUG: no job associated with delegate %s" % delegate_future if delegate_future.cancelled(): # nothing to do, retrying on cancel is not allowed self._log.debug("Delegate was cancelled: %s", delegate_future) return (should_retry, sleep_time) = eval_policy(found_job, self._log) if should_retry: self._retry(found_job, sleep_time) return self._log.debug("Finalizing %s", found_job) # OK, it won't be retried. Resolve the future. copy_future(delegate_future, found_job.future) self._pop_job(found_job) self._log.debug("Finalized %s", found_job)
(self, delegate_future)
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708,529
more_executors._impl.retry
_get_next_job
null
def _get_next_job(self): # Find and return the next job to be handled, if any. # This means a job with when < now, or with stop_retry == True, # or if there's none, then the job with the minimum value of when. min_job = None now = monotonic() for job in self._jobs: if job.delegate_future: # It's already running, skip continue if job.stop_retry: # We've been requested to stop retrying this job, # and we can handle that immediately return job if job.when <= now: # job is overdue, just do it return job if not min_job: min_job = job elif job.when < min_job.when: min_job = job return min_job
(self)
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708,530
more_executors._impl.retry
_pop_job
null
def _pop_job(self, job): with self._lock: for idx, pending in enumerate(self._jobs): if pending is job: metrics.RETRY_QUEUE.labels(executor=self._name).dec() return self._jobs.pop(idx)
(self, job)
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708,531
more_executors._impl.retry
_retry
null
def _retry(self, job, sleep_time): self._log.debug("Will retry: %s", job) with self._lock: self._pop_job(job) metrics.RETRY_DELAY.labels(executor=self._name).inc(sleep_time) new_job = RetryJob( job.policy, None, job.future, job.attempt, monotonic() + sleep_time, job.fn, job.args, job.kwargs, # The old delegate future is retained in case we need # to propagate its exception later old_delegate=job.delegate_future, ) new_job.stop_retry = job.stop_retry self._append_job(new_job) self._wake_thread()
(self, job, sleep_time)
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708,532
more_executors._impl.retry
_submit_now
null
def _submit_now(self, job): # Pop job since we'll replace it. # We need to hold the lock for the entire duration so that other # threads won't see _jobs between our removal and re-add of the job with job.future._me_lock: with self._lock: self._pop_job(job) # We need the future's lock now too, because someone could # call cancel after this check and before we submit. if job.future.done(): self._log.debug( "future done %s - not submitting to delegate", job.future ) return if job.attempt != 0: metrics.RETRY_TOTAL.labels(executor=self._name).inc() delegate_future = self._delegate.submit(job.fn, *job.args, **job.kwargs) job.future.delegate_future = delegate_future new_job = RetryJob( job.policy, delegate_future, job.future, job.attempt + 1, None, job.fn, job.args, job.kwargs, ) self._append_job(new_job) self._log.debug("Submitted: %s", new_job) delegate_future.add_done_callback(self._delegate_callback) self._wake_thread()
(self, job)
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708,533
more_executors._impl.retry
_wake_thread
null
def _wake_thread(self): self._submit_event.set()
(self)
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708,537
more_executors._impl.retry
shutdown
null
def shutdown(self, wait=True, **_kwargs): if self._shutdown(): self._log.debug("Shutting down.") metrics.EXEC_INPROGRESS.labels(executor=self._name, type="retry").dec() self._wake_thread() self._delegate.shutdown(wait, **_kwargs) if wait: self._log.debug("Waiting for thread") self._submit_thread.join(MAX_TIMEOUT) self._log.debug("Shutdown complete")
(self, wait=True, **_kwargs)
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708,538
more_executors._impl.retry
submit
null
def submit(self, *args, **kwargs): # pylint: disable=arguments-differ return self.submit_retry(self._default_retry_policy, *args, **kwargs)
(self, *args, **kwargs)
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708,539
more_executors._impl.retry
submit_retry
Submit a callable with a specific retry policy. Parameters: retry_policy (RetryPolicy): a policy which is used for this call only
def submit_retry(self, retry_policy, fn, *args, **kwargs): """Submit a callable with a specific retry policy. Parameters: retry_policy (RetryPolicy): a policy which is used for this call only """ with self._shutdown.ensure_alive(): future = RetryFuture(self) track_future(future, type="retry", executor=self._name) job = RetryJob(retry_policy, None, future, 0, monotonic(), fn, args, kwargs) self._append_job(job) # Let the submit thread know it should wake up to check for new jobs self._wake_thread() self._log.debug("Returning future %s", future) return future
(self, retry_policy, fn, *args, **kwargs)
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708,548
more_executors._impl.retry
RetryPolicy
Instances of this class may be supplied to :class:`RetryExecutor` to customize the retry behavior. This base class will never retry. See :class:`ExceptionRetryPolicy` for a general-purpose implementation.
class RetryPolicy(object): """Instances of this class may be supplied to :class:`RetryExecutor` to customize the retry behavior. This base class will never retry. See :class:`ExceptionRetryPolicy` for a general-purpose implementation.""" def should_retry(self, attempt, future): """ Parameters: attempt (int): number of times the future has been attempted; starts counting at 1 future (~concurrent.futures.Future): a completed future Returns: bool: True if and only if a future should be retried. """ return False def sleep_time(self, attempt, future): """ Parameters: attempt (int): number of times the future has been attempted; starts counting at 1 future (~concurrent.futures.Future): a completed future Returns: float: The amount of time (in seconds) to delay before the next attempt at running a future. """ return 0
()
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708,549
more_executors._impl.retry
should_retry
Parameters: attempt (int): number of times the future has been attempted; starts counting at 1 future (~concurrent.futures.Future): a completed future Returns: bool: True if and only if a future should be retried.
def should_retry(self, attempt, future): """ Parameters: attempt (int): number of times the future has been attempted; starts counting at 1 future (~concurrent.futures.Future): a completed future Returns: bool: True if and only if a future should be retried. """ return False
(self, attempt, future)
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708,550
more_executors._impl.retry
sleep_time
Parameters: attempt (int): number of times the future has been attempted; starts counting at 1 future (~concurrent.futures.Future): a completed future Returns: float: The amount of time (in seconds) to delay before the next attempt at running a future.
def sleep_time(self, attempt, future): """ Parameters: attempt (int): number of times the future has been attempted; starts counting at 1 future (~concurrent.futures.Future): a completed future Returns: float: The amount of time (in seconds) to delay before the next attempt at running a future. """ return 0
(self, attempt, future)
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708,551
more_executors._impl.sync
SyncExecutor
An executor which immediately invokes all submitted callables.
class SyncExecutor(CanCustomizeBind, Executor): """An executor which immediately invokes all submitted callables.""" def __init__(self, logger=None, name="default"): """ Parameters: logger (~logging.Logger): a logger used for messages from this executor name (str): a name for this executor .. versionchanged:: 2.7.0 Introduced ``name``. """ super(SyncExecutor, self).__init__() self._name = name self._shutdown = ShutdownHelper() metrics.EXEC_TOTAL.labels(type="sync", executor=self._name).inc() metrics.EXEC_INPROGRESS.labels(type="sync", executor=self._name).inc() def shutdown(self, wait=True, **_kwargs): if self._shutdown(): super(SyncExecutor, self).shutdown(wait, **_kwargs) metrics.EXEC_INPROGRESS.labels(type="sync", executor=self._name).dec() def submit(self, fn, *args, **kwargs): # pylint: disable=arguments-differ """Immediately invokes `fn(*args, **kwargs)` and returns a future with the result (or exception).""" with self._shutdown.ensure_alive(): future = Future() track_future(future, type="sync", executor=self._name) try: result = fn(*args, **kwargs) future.set_result(result) except Exception: copy_exception(future) return future
(logger=None, name='default')
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708,555
more_executors._impl.sync
__init__
Parameters: logger (~logging.Logger): a logger used for messages from this executor name (str): a name for this executor .. versionchanged:: 2.7.0 Introduced ``name``.
def __init__(self, logger=None, name="default"): """ Parameters: logger (~logging.Logger): a logger used for messages from this executor name (str): a name for this executor .. versionchanged:: 2.7.0 Introduced ``name``. """ super(SyncExecutor, self).__init__() self._name = name self._shutdown = ShutdownHelper() metrics.EXEC_TOTAL.labels(type="sync", executor=self._name).inc() metrics.EXEC_INPROGRESS.labels(type="sync", executor=self._name).inc()
(self, logger=None, name='default')
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708,559
more_executors._impl.sync
shutdown
null
def shutdown(self, wait=True, **_kwargs): if self._shutdown(): super(SyncExecutor, self).shutdown(wait, **_kwargs) metrics.EXEC_INPROGRESS.labels(type="sync", executor=self._name).dec()
(self, wait=True, **_kwargs)
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708,560
more_executors._impl.sync
submit
Immediately invokes `fn(*args, **kwargs)` and returns a future with the result (or exception).
def submit(self, fn, *args, **kwargs): # pylint: disable=arguments-differ """Immediately invokes `fn(*args, **kwargs)` and returns a future with the result (or exception).""" with self._shutdown.ensure_alive(): future = Future() track_future(future, type="sync", executor=self._name) try: result = fn(*args, **kwargs) future.set_result(result) except Exception: copy_exception(future) return future
(self, fn, *args, **kwargs)
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708,569
more_executors._impl.throttle
ThrottleExecutor
An executor which delegates to another executor while enforcing a limit on the number of futures running concurrently. - Callables are submitted to the delegate executor, from a different thread than the calling thread. - Where `count` is used to initialize this executor, if there are already `count` futures submitted to the delegate executor and not yet :meth:`~concurrent.futures.Future.done`, additional callables will either be queued or will block on submit, and will only be submitted to the delegate executor once there are less than `count` futures in progress. .. versionadded:: 1.9.0
class ThrottleExecutor(CanCustomizeBind, Executor): """An executor which delegates to another executor while enforcing a limit on the number of futures running concurrently. - Callables are submitted to the delegate executor, from a different thread than the calling thread. - Where `count` is used to initialize this executor, if there are already `count` futures submitted to the delegate executor and not yet :meth:`~concurrent.futures.Future.done`, additional callables will either be queued or will block on submit, and will only be submitted to the delegate executor once there are less than `count` futures in progress. .. versionadded:: 1.9.0 """ def __init__(self, delegate, count, logger=None, name="default", block=False): """ Parameters: delegate (~concurrent.futures.Executor): an executor to which callables will be submitted count (int, callable): int: maximum number of concurrently running futures. callable: a callable which returns an ``int`` (or ``None``, to indicate no throttling). The callable will be invoked each time this executor needs to decide whether to throttle futures; this may be used to implement dynamic throttling. .. versionadded:: 2.5.0 block (bool) If ``True``, calls to ``submit()`` on this executor may block if there are already ``count`` futures in progress. Otherwise, calls to ``submit()`` will always return immediately and callables will be queued internally. logger (~logging.Logger): a logger used for messages from this executor name (str): a name for this executor .. versionchanged:: 2.7.0 Introduced ``name``. .. versionchanged:: 2.11.0 Introduced ``block``. """ self._log = LogWrapper( logger if logger else logging.getLogger("ThrottleExecutor") ) self._block = block self._name = name self._delegate = delegate self._to_submit = deque() self._lock = Lock() self._event = get_event() self._running_count = AtomicInt() self._throttle = count if callable(count) else lambda: count self._last_throttle = self._throttle() self._shutdown = ShutdownHelper() event = self._event self_ref = weakref.ref(self, lambda _: event.set()) metrics.EXEC_INPROGRESS.labels(type="throttle", executor=self._name).inc() metrics.EXEC_TOTAL.labels(type="throttle", executor=self._name).inc() self._thread = Thread( name="ThrottleExecutor-%s" % name, target=_submit_loop, args=(self_ref,) ) self._thread.daemon = True self._thread.start() def submit(self, fn, *args, **kwargs): # pylint: disable=arguments-differ with self._shutdown.ensure_alive(): self._block_until_ready(self._eval_throttle()) out = ThrottleFuture(self) track_future(out, type="throttle", executor=self._name) job = ThrottleJob(out, fn, args, kwargs) with self._lock: self._to_submit.append(job) metrics.THROTTLE_QUEUE.labels(executor=self._name).inc() self._log.debug("Enqueued: %s", job) self._event.set() return out def shutdown(self, wait=True, **_kwargs): if self._shutdown(): self._log.debug("Shutting down") metrics.EXEC_INPROGRESS.labels(type="throttle", executor=self._name).dec() self._delegate.shutdown(wait, **_kwargs) self._event.set() if wait: self._thread.join(MAX_TIMEOUT) def _block_until_ready(self, throttle_val): while self._block and not self._shutdown.is_shutdown: if len(self._to_submit) < throttle_val: return self._log.debug("%s: throttling on submit", self._name) self._event.wait(30.0) def _eval_throttle(self): try: self._last_throttle = self._throttle() except Exception: self._log.exception( "Error evaluating throttle count via %r", self._throttle ) return self._last_throttle def _do_submit(self, job): delegate_future = self._delegate.submit(job.fn, *job.args, **job.kwargs) self._log.debug("Submitted %s yielding %s", job, delegate_future) delegate_future.add_done_callback( partial( self._delegate_future_done, self._log, self._running_count, self._event ) ) job.future._set_delegate(delegate_future) def _do_cancel(self, future): with self._lock: for job in self._to_submit: if job.future is future: self._to_submit.remove(job) self._log.debug("Cancelled %s", job) return True self._log.debug("Could not find for cancel: %s", future) return False @classmethod def _delegate_future_done(cls, log, running_count, event, future): # Whenever an inner future completes, the thread should wake up # in case there's something to be submitted log.debug("Delegate future done: %s", future) running_count.decr() event.set()
(delegate, count, logger=None, name='default', block=False)
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708,573
more_executors._impl.throttle
__init__
Parameters: delegate (~concurrent.futures.Executor): an executor to which callables will be submitted count (int, callable): int: maximum number of concurrently running futures. callable: a callable which returns an ``int`` (or ``None``, to indicate no throttling). The callable will be invoked each time this executor needs to decide whether to throttle futures; this may be used to implement dynamic throttling. .. versionadded:: 2.5.0 block (bool) If ``True``, calls to ``submit()`` on this executor may block if there are already ``count`` futures in progress. Otherwise, calls to ``submit()`` will always return immediately and callables will be queued internally. logger (~logging.Logger): a logger used for messages from this executor name (str): a name for this executor .. versionchanged:: 2.7.0 Introduced ``name``. .. versionchanged:: 2.11.0 Introduced ``block``.
def __init__(self, delegate, count, logger=None, name="default", block=False): """ Parameters: delegate (~concurrent.futures.Executor): an executor to which callables will be submitted count (int, callable): int: maximum number of concurrently running futures. callable: a callable which returns an ``int`` (or ``None``, to indicate no throttling). The callable will be invoked each time this executor needs to decide whether to throttle futures; this may be used to implement dynamic throttling. .. versionadded:: 2.5.0 block (bool) If ``True``, calls to ``submit()`` on this executor may block if there are already ``count`` futures in progress. Otherwise, calls to ``submit()`` will always return immediately and callables will be queued internally. logger (~logging.Logger): a logger used for messages from this executor name (str): a name for this executor .. versionchanged:: 2.7.0 Introduced ``name``. .. versionchanged:: 2.11.0 Introduced ``block``. """ self._log = LogWrapper( logger if logger else logging.getLogger("ThrottleExecutor") ) self._block = block self._name = name self._delegate = delegate self._to_submit = deque() self._lock = Lock() self._event = get_event() self._running_count = AtomicInt() self._throttle = count if callable(count) else lambda: count self._last_throttle = self._throttle() self._shutdown = ShutdownHelper() event = self._event self_ref = weakref.ref(self, lambda _: event.set()) metrics.EXEC_INPROGRESS.labels(type="throttle", executor=self._name).inc() metrics.EXEC_TOTAL.labels(type="throttle", executor=self._name).inc() self._thread = Thread( name="ThrottleExecutor-%s" % name, target=_submit_loop, args=(self_ref,) ) self._thread.daemon = True self._thread.start()
(self, delegate, count, logger=None, name='default', block=False)
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708,574
more_executors._impl.throttle
_block_until_ready
null
def _block_until_ready(self, throttle_val): while self._block and not self._shutdown.is_shutdown: if len(self._to_submit) < throttle_val: return self._log.debug("%s: throttling on submit", self._name) self._event.wait(30.0)
(self, throttle_val)
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708,575
more_executors._impl.throttle
_do_cancel
null
def _do_cancel(self, future): with self._lock: for job in self._to_submit: if job.future is future: self._to_submit.remove(job) self._log.debug("Cancelled %s", job) return True self._log.debug("Could not find for cancel: %s", future) return False
(self, future)
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708,576
more_executors._impl.throttle
_do_submit
null
def _do_submit(self, job): delegate_future = self._delegate.submit(job.fn, *job.args, **job.kwargs) self._log.debug("Submitted %s yielding %s", job, delegate_future) delegate_future.add_done_callback( partial( self._delegate_future_done, self._log, self._running_count, self._event ) ) job.future._set_delegate(delegate_future)
(self, job)
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708,577
more_executors._impl.throttle
_eval_throttle
null
def _eval_throttle(self): try: self._last_throttle = self._throttle() except Exception: self._log.exception( "Error evaluating throttle count via %r", self._throttle ) return self._last_throttle
(self)
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708,581
more_executors._impl.throttle
shutdown
null
def shutdown(self, wait=True, **_kwargs): if self._shutdown(): self._log.debug("Shutting down") metrics.EXEC_INPROGRESS.labels(type="throttle", executor=self._name).dec() self._delegate.shutdown(wait, **_kwargs) self._event.set() if wait: self._thread.join(MAX_TIMEOUT)
(self, wait=True, **_kwargs)
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708,582
more_executors._impl.throttle
submit
null
def submit(self, fn, *args, **kwargs): # pylint: disable=arguments-differ with self._shutdown.ensure_alive(): self._block_until_ready(self._eval_throttle()) out = ThrottleFuture(self) track_future(out, type="throttle", executor=self._name) job = ThrottleJob(out, fn, args, kwargs) with self._lock: self._to_submit.append(job) metrics.THROTTLE_QUEUE.labels(executor=self._name).inc() self._log.debug("Enqueued: %s", job) self._event.set() return out
(self, fn, *args, **kwargs)
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708,591
more_executors._impl.timeout
TimeoutExecutor
An executor which delegates to another executor while applying a timeout to each returned future. For any futures returned by this executor, if the future hasn't completed approximately within `timeout` seconds of its creation, an attempt will be made to cancel the future. Note that only a single attempt is made to cancel any future, and there is no guarantee that this will succeed. .. versionadded:: 1.7.0
class TimeoutExecutor(CanCustomizeBind, Executor): """An executor which delegates to another executor while applying a timeout to each returned future. For any futures returned by this executor, if the future hasn't completed approximately within `timeout` seconds of its creation, an attempt will be made to cancel the future. Note that only a single attempt is made to cancel any future, and there is no guarantee that this will succeed. .. versionadded:: 1.7.0 """ def __init__(self, delegate, timeout, logger=None, name="default"): """ Parameters: delegate (~concurrent.futures.Executor): an executor to which callables are submitted timeout (float): timeout (in seconds) after which :meth:`concurrent.futures.Future.cancel()` will be invoked on any generated future which has not completed logger (~logging.Logger): a logger used for messages from this executor name (str): a name for this executor .. versionchanged:: 2.7.0 Introduced ``name``. """ self._log = logger if logger else LOG self._name = name self._delegate = delegate self._timeout = timeout self._shutdown = ShutdownHelper() self._jobs = [] self._jobs_lock = Lock() self._jobs_write = get_event() event = self._jobs_write self_ref = weakref.ref(self, lambda _: event.set()) self._job_thread = Thread( name="TimeoutExecutor-%s" % name, target=self._job_loop, args=(self_ref,) ) self._job_thread.daemon = True self._job_thread.start() metrics.EXEC_TOTAL.labels(type="timeout", executor=self._name).inc() metrics.EXEC_INPROGRESS.labels(type="timeout", executor=self._name).inc() def submit(self, *args, **kwargs): # pylint: disable=arguments-differ return self.submit_timeout(self._timeout, *args, **kwargs) def submit_timeout(self, timeout, fn, *args, **kwargs): """Like :code:`submit(fn, *args, **kwargs)`, but uses the specified timeout rather than this executor's default. .. versionadded:: 1.19.0 """ with self._shutdown.ensure_alive(): delegate_future = self._delegate.submit(fn, *args, **kwargs) future = MapFuture(delegate_future) track_future(future, type="timeout", executor=self._name) future.add_done_callback(self._on_future_done) job = Job(future, delegate_future, monotonic() + timeout) with self._jobs_lock: self._jobs.append(job) self._jobs_write.set() return future def shutdown(self, wait=True, **_kwargs): if self._shutdown(): self._log.debug("shutdown") metrics.EXEC_INPROGRESS.labels(type="timeout", executor=self._name).dec() self._jobs_write.set() self._delegate.shutdown(wait, **_kwargs) if wait: self._job_thread.join(MAX_TIMEOUT) def _partition_jobs(self): pending = [] overdue = [] now = monotonic() for job in self._jobs: if job.future.done(): self._log.debug("Discarding job for completed future: %s", job) elif job.deadline < now: overdue.append(job) else: pending.append(job) return (pending, overdue) def _on_future_done(self, future): self._log.debug("Waking thread for %s", future) self._jobs_write.set() def _do_cancel(self, job): self._log.debug("Attempting cancel: %s", job) cancel_result = job.future.cancel() if cancel_result: metrics.TIMEOUT.labels(executor=self._name).inc() self._log.debug("Cancel of %s resulted in %s", job, cancel_result) @classmethod @executor_loop def _job_loop(cls, executor_ref): while True: (event, wait_time) = cls._job_loop_iter(executor_ref()) if not event: break event.wait(wait_time) event.clear() @classmethod def _job_loop_iter(cls, executor): if not executor: LOG.debug("Executor was collected") return (None, None) if executor._shutdown.is_shutdown or is_shutdown(): executor._log.debug("Executor was shut down") return (None, None) executor._log.debug("job loop") with executor._jobs_lock: (pending, overdue) = executor._partition_jobs() executor._jobs = pending executor._log.debug("jobs: %s overdue, %s pending", len(overdue), len(pending)) for job in overdue: executor._do_cancel(job) wait_time = None if pending: earliest = min([job.deadline for job in pending]) wait_time = max(earliest - monotonic(), 0) executor._log.debug("Wait until %s", wait_time) return (executor._jobs_write, wait_time)
(delegate, timeout, logger=None, name='default')
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708,595
more_executors._impl.timeout
__init__
Parameters: delegate (~concurrent.futures.Executor): an executor to which callables are submitted timeout (float): timeout (in seconds) after which :meth:`concurrent.futures.Future.cancel()` will be invoked on any generated future which has not completed logger (~logging.Logger): a logger used for messages from this executor name (str): a name for this executor .. versionchanged:: 2.7.0 Introduced ``name``.
def __init__(self, delegate, timeout, logger=None, name="default"): """ Parameters: delegate (~concurrent.futures.Executor): an executor to which callables are submitted timeout (float): timeout (in seconds) after which :meth:`concurrent.futures.Future.cancel()` will be invoked on any generated future which has not completed logger (~logging.Logger): a logger used for messages from this executor name (str): a name for this executor .. versionchanged:: 2.7.0 Introduced ``name``. """ self._log = logger if logger else LOG self._name = name self._delegate = delegate self._timeout = timeout self._shutdown = ShutdownHelper() self._jobs = [] self._jobs_lock = Lock() self._jobs_write = get_event() event = self._jobs_write self_ref = weakref.ref(self, lambda _: event.set()) self._job_thread = Thread( name="TimeoutExecutor-%s" % name, target=self._job_loop, args=(self_ref,) ) self._job_thread.daemon = True self._job_thread.start() metrics.EXEC_TOTAL.labels(type="timeout", executor=self._name).inc() metrics.EXEC_INPROGRESS.labels(type="timeout", executor=self._name).inc()
(self, delegate, timeout, logger=None, name='default')
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708,596
more_executors._impl.timeout
_do_cancel
null
def _do_cancel(self, job): self._log.debug("Attempting cancel: %s", job) cancel_result = job.future.cancel() if cancel_result: metrics.TIMEOUT.labels(executor=self._name).inc() self._log.debug("Cancel of %s resulted in %s", job, cancel_result)
(self, job)
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708,597
more_executors._impl.timeout
_on_future_done
null
def _on_future_done(self, future): self._log.debug("Waking thread for %s", future) self._jobs_write.set()
(self, future)
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708,598
more_executors._impl.timeout
_partition_jobs
null
def _partition_jobs(self): pending = [] overdue = [] now = monotonic() for job in self._jobs: if job.future.done(): self._log.debug("Discarding job for completed future: %s", job) elif job.deadline < now: overdue.append(job) else: pending.append(job) return (pending, overdue)
(self)
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708,602
more_executors._impl.timeout
shutdown
null
def shutdown(self, wait=True, **_kwargs): if self._shutdown(): self._log.debug("shutdown") metrics.EXEC_INPROGRESS.labels(type="timeout", executor=self._name).dec() self._jobs_write.set() self._delegate.shutdown(wait, **_kwargs) if wait: self._job_thread.join(MAX_TIMEOUT)
(self, wait=True, **_kwargs)
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708,603
more_executors._impl.timeout
submit
null
def submit(self, *args, **kwargs): # pylint: disable=arguments-differ return self.submit_timeout(self._timeout, *args, **kwargs)
(self, *args, **kwargs)
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708,604
more_executors._impl.timeout
submit_timeout
Like :code:`submit(fn, *args, **kwargs)`, but uses the specified timeout rather than this executor's default. .. versionadded:: 1.19.0
def submit_timeout(self, timeout, fn, *args, **kwargs): """Like :code:`submit(fn, *args, **kwargs)`, but uses the specified timeout rather than this executor's default. .. versionadded:: 1.19.0 """ with self._shutdown.ensure_alive(): delegate_future = self._delegate.submit(fn, *args, **kwargs) future = MapFuture(delegate_future) track_future(future, type="timeout", executor=self._name) future.add_done_callback(self._on_future_done) job = Job(future, delegate_future, monotonic() + timeout) with self._jobs_lock: self._jobs.append(job) self._jobs_write.set() return future
(self, timeout, fn, *args, **kwargs)
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708,616
more_executors._impl.futures.bool
f_and
Boolean ``AND`` over a number of futures. Signature: :code:`Future<A>[, Future<B>[, ...]] ⟶ Future<A|B|...>` Arguments: f (~concurrent.futures.Future) Any future fs (~concurrent.futures.Future) Any futures Returns: :class:`~concurrent.futures.Future` A future resolved from the inputs using ``AND`` semantics: - Resolved with the latest value returned by an input future, if all futures are resolved with true values. - Otherwise, resolved with the earliest false value or exception returned by the input futures. .. note:: This function is tested with up to 100,000 input futures. Exceeding this limit may result in performance issues. .. versionadded:: 1.19.0
# -*- coding: utf-8 -*- from threading import Lock import logging from concurrent.futures import Future from .base import chain_cancel, weak_callback from ..common import copy_future_exception, try_set_result from .check import ensure_futures from ..logwrap import LogWrapper from ..metrics import track_future LOG = LogWrapper(logging.getLogger("more_executors.futures")) class BoolOperation(object): def __init__(self, fs): self.fs = {} for f in fs: self.fs[f] = True self.done = False self.lock = Lock() self.out = Future() for f in fs: chain_cancel(self.out, f) f.add_done_callback(weak_callback(self.handle_done)) def get_state_update(self, f): raise NotImplementedError() # pragma: no cover def handle_done(self, f): set_result = False set_exception = False cancel_futures = set() with self.lock: if self.done: return del self.fs[f] (set_result, set_exception, cancel_futures) = self.get_state_update(f) if set_result: try_set_result(self.out, f.result()) if set_exception: copy_future_exception(f, self.out) for to_cancel in cancel_futures: to_cancel.cancel()
(f, *fs)
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