File: //lib64/python3.6/site-packages/zmq/eventloop/minitornado/__pycache__/stack_context.cpython-36.pyc
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e�ZG dd� de�Zdd� Zdd� Zdd� Zdd� ZdS )a `StackContext` allows applications to maintain threadlocal-like state
that follows execution as it moves to other execution contexts.
The motivating examples are to eliminate the need for explicit
``async_callback`` wrappers (as in `tornado.web.RequestHandler`), and to
allow some additional context to be kept for logging.
This is slightly magic, but it's an extension of the idea that an
exception handler is a kind of stack-local state and when that stack
is suspended and resumed in a new context that state needs to be
preserved. `StackContext` shifts the burden of restoring that state
from each call site (e.g. wrapping each `.AsyncHTTPClient` callback
in ``async_callback``) to the mechanisms that transfer control from
one context to another (e.g. `.AsyncHTTPClient` itself, `.IOLoop`,
thread pools, etc).
Example usage::
@contextlib.contextmanager
def die_on_error():
try:
yield
except Exception:
logging.error("exception in asynchronous operation",exc_info=True)
sys.exit(1)
with StackContext(die_on_error):
# Any exception thrown here *or in callback and its descendants*
# will cause the process to exit instead of spinning endlessly
# in the ioloop.
http_client.fetch(url, callback)
ioloop.start()
Most applications shouldn't have to work with `StackContext` directly.
Here are a few rules of thumb for when it's necessary:
* If you're writing an asynchronous library that doesn't rely on a
stack_context-aware library like `tornado.ioloop` or `tornado.iostream`
(for example, if you're writing a thread pool), use
`.stack_context.wrap()` before any asynchronous operations to capture the
stack context from where the operation was started.
* If you're writing an asynchronous library that has some shared
resources (such as a connection pool), create those shared resources
within a ``with stack_context.NullContext():`` block. This will prevent
``StackContexts`` from leaking from one request to another.
* If you want to write something like an exception handler that will
persist across asynchronous calls, create a new `StackContext` (or
`ExceptionStackContext`), and make your asynchronous calls in a ``with``
block that references your `StackContext`.
� )�absolute_import�division�print_function�with_statementN� )�raise_exc_infoc @ s e Zd ZdS )�StackContextInconsistentErrorN)�__name__�
__module__�__qualname__� r r �%/usr/lib64/python3.6/stack_context.pyr N s r c @ s e Zd Zdd� ZdS )�_Statec C s t � d f| _d S )N)�tuple�contexts)�selfr r r
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r R s r c @ s@ e Zd ZdZdd� Zdd� Zdd� Zdd � Zd
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� Z dS )�StackContexta Establishes the given context as a StackContext that will be transferred.
Note that the parameter is a callable that returns a context
manager, not the context itself. That is, where for a
non-transferable context manager you would say::
with my_context():
StackContext takes the function itself rather than its result::
with StackContext(my_context):
The result of ``with StackContext() as cb:`` is a deactivation
callback. Run this callback when the StackContext is no longer
needed to ensure that it is not propagated any further (note that
deactivating a context does not affect any instances of that
context that are currently pending). This is an advanced feature
and not necessary in most applications.
c C s || _ g | _d| _d S )NT)�context_factoryr �active)r r r r r
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r � s zStackContext.__enter__c C s@ z| j |||� W d tj}| jt_|| jk r4td��d | _X d S )NzWstack_context inconsistency (may be caused by yield within a "with StackContext" block))r r! r r"