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+%global _empty_manifest_terminate_build 0
+Name:		python-delayed
+Version:	0.11.0b1
+Release:	1
+Summary:	a simple but robust task queue
+License:	MIT License
+URL:		https://github.com/yizhisec/delayed
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/7c/34/d0f94928aef639741ef5ed2bbdde6d30a5d8dcb09bd31835c23e1edbc3eb/delayed-0.11.0b1.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-hiredis
+Requires:	python3-redis
+
+%description
+# delayed
+[![Build status](https://travis-ci.org/yizhisec/delayed.svg?branch=master)](https://secure.travis-ci.org/yizhisec/delayed)
+[![Coverage](https://codecov.io/gh/yizhisec/delayed/branch/master/graph/badge.svg)](https://codecov.io/gh/yizhisec/delayed)
+
+Delayed is a simple but robust task queue inspired by [rq](https://python-rq.org/).
+
+## Features
+
+* Robust: all the enqueued tasks will run exactly once, even if the worker got killed at any time.
+* Clean: finished tasks (including failed) won't take the space of your Redis.
+* Distributed: workers as more as needed can run in the same time without further config.
+
+## Requirements
+
+1. Python 2.7 or later, tested on Python 2.7, 3.3 - 3.9, PyPy and PyPy3.
+2. UNIX-like systems (with os.fork() implemented), tested on Ubuntu and macOS.
+3. Redis 2.6.0 or later.
+4. Keeps syncing time among all the machines of each task queue.
+
+## Getting started
+
+1. Run a redis server:
+
+    ```bash
+    $ redis-server
+    ```
+
+2. Install delayed:
+
+    ```bash
+    $ pip install delayed
+    ```
+
+3. Create a task queue:
+
+    ```python
+    import redis
+    from delayed.queue import Queue
+
+    conn = redis.Redis()
+    queue = Queue(name='default', conn=conn)
+    ```
+
+4. Four ways to enqueue a task:
+
+    * Define a task function and enqueue it:
+
+        ```python
+        from delayed.delay import delayed
+
+        delayed = delayed(queue)
+
+        @delayed()
+        def delayed_add(a, b):
+            return a + b
+
+        delayed_add.delay(1, 2)  # enqueue delayed_add
+        delayed_add.delay(1, b=2)  # same as above
+        delayed_add(1, 2)  # call it immediately
+        ```
+    * Directly enqueue a function:
+
+        ```python
+        from delayed.delay import delay, delayed
+
+        delay = delay(queue)
+        delayed = delayed(queue)
+
+        def add(a, b):
+            return a + b
+
+        delay(add)(1, 2)
+        delay(add)(1, b=2)  # same as above
+
+        delayed()(add).delay(1, 2)
+        delayed()(add).delay(1, b=2)  # same as above
+        ```
+    * Create a task and enqueue it:
+
+        ```python
+        from delayed.task import Task
+
+        def add(a, b):
+            return a + b
+
+        task = Task.create(func=add, args=(1,), kwargs={'b': 2})
+        queue.enqueue(task)
+        ```
+    * Enqueue a predefined task function without importing it:
+
+        ```python
+        from delayed.task import Task
+
+        task = Task(id=None, func_path='test:add', args=(1,), kwargs={'b': 2})
+        queue.enqueue(task)
+        ```
+
+5. Run a task worker (or more) in a separated process:
+
+    ```python
+    import redis
+    from delayed.queue import Queue
+    from delayed.worker import ForkedWorker
+
+    conn = redis.Redis()
+    queue = Queue(name='default', conn=conn)
+    worker = ForkedWorker(queue=queue)
+    worker.run()
+    ```
+
+6. Run a task sweeper in a separated process to recovery lost tasks (mainly due to the worker got killed):
+
+    ```python
+    import redis
+    from delayed.queue import Queue
+    from delayed.sweeper import Sweeper
+
+    conn = redis.Redis()
+    queue = Queue(name='default', conn=conn)
+    sweeper = Sweeper(queues=[queue])
+    sweeper.run()
+    ```
+
+## Examples
+
+See [examples](examples).
+
+    ```bash
+    $ redis-server &
+    $ pip install delayed
+    $ python -m examples.sweeper &
+    $ python -m examples.forked_worker &  # or python -m examples.preforked_worker &
+    $ python -m examples.caller
+    ```
+
+## QA
+
+1. **Q: What's the limitation on a task function?**  
+A: A task function should be defined in module level (except the `__main__` module). Its `args` and `kwargs` should be picklable.
+
+2. **Q: What's the `name` param of a queue?**  
+A: It's the key used to store the tasks of the queue. A queue with name "default" will use those keys:
+    * default: list, enqueued tasks.
+    * default_id: str, the next task id.
+    * default_noti: list, the same length as enqueued tasks.
+    * default_enqueued: sorted set, enqueued tasks with their timeouts.
+    * default_dequeued: sorted set, dequeued tasks with their dequeued timestamps.
+
+3. **Q: Why the worker is slow?**  
+A: The `ForkedWorker` forks a new process for each new task. So all the tasks are isolated and you won't leak memory.  
+To reduce the overhead of forking processes and importing modules, if your task function code won't be changed in the worker's lifetime, you can switch to `PreforkedWorker`:
+
+    ```python
+    import redis
+    from delayed.queue import Queue
+    from delayed.worker import PreforkedWorker
+
+    conn = redis.Redis()
+    queue = Queue(name='default', conn=conn)
+    worker = PreforkedWorker(queue=queue)
+    worker.run()
+    ```
+
+4. **Q: How does a `ForkedWorker` run?**  
+A: It runs such a loop:
+    1. It dequeues a task from the queue periodically.
+    2. It forks a child process to run the task.
+    3. It kills the child process if the child runs out of time.
+    4. When the child process exits, it releases the task.
+
+5. **Q: How does a `PreforkedWorker` run?**  
+A: It runs such a loop:
+    1. It dequeues a task from the queue periodically.
+    2. If it has no child process, it forks a new one.
+    3. It sends the task through a pipe to the child.
+    4. It kills the child process if the child runs out of time.
+    5. When the child process exits or it received result from the pipe, it releases the task.
+
+6. **Q: How does the child process of a worker run?**  
+A: The child of a `ForkedWorker` just runs the task, unmarks the task as dequeued, then exits.
+The child of a `PreforkedWorker` runs such a loop:
+    1. It tries to receive a task from the pipe.
+    2. If the pipe has been closed, it exits.
+    3. It runs the task.
+    4. It sends the task result to the pipe.
+    5. It releases the task.
+
+7. **Q: What's lost tasks?**  
+A: There are 2 situations a task might get lost:
+    * a worker popped a task notification, then got killed before dequeueing the task.
+    * a worker dequeued a task, then both the monitor and its child process got killed before they releasing the task.
+
+8. **Q: How to recovery lost tasks?**  
+A: Runs a sweeper. It dose two things:
+    * it keeps the task notification length the same as the task queue.
+    * it moves the timeout dequeued tasks back to the task queue.
+
+9. **Q: How to set the timeout of tasks?**  
+A: You can set `default_timeout` of a queue or `timeout` of a task:
+
+    ```python
+    from delayed.delay import delay_with_params
+
+    queue = Queue('default', conn, default_timeout=60)
+
+    delayed_add.timeout(10)(1, 2)
+
+    delay_with_params(queue)(timeout=10)(add)(1, 2)
+    ```
+
+10. **Q: How to enqueue a task in front of the queue?**  
+A: You can set `prior` of the task to `True`:
+
+    ```python
+    task = Task(id=None, func_path='test:add', args=(1, 2), prior=True)
+    queue.enqueue(task)
+    ```
+
+11. **Q: How to handle the failed tasks?**  
+A: Sets the `error_handler` of the task. The handlers would be called in a forked process, except the forked process got killed or the monitor process raised an exception.
+
+    ```python
+    from delayed.delay import delay_with_params
+
+    def error_handler(task, kill_signal, exc_info):
+        if kill_signal:
+            logging.error('task %d got killed by signal %d', task.id, kill_signal)
+        else:
+            logging.exception('task %d failed', task.id, exc_info=exc_info)
+
+    @delayed_with_param(queue)(error_handler=error_handler)
+    def error():
+        raise Exception
+
+    def error2():
+        raise Exception
+
+    task = Task.create(func_path='test:error2', error_handler=error_handler)
+    ```
+
+12. **Q: Why does sometimes the `error_handler` not be called for a failed task?**  
+A: If both the child process and the monitor process got killed at the same time, there is no chance to call the `error_handler`.
+
+13. **Q: How to turn on the debug logs?**  
+A: Adds a `logging.DEBUG` level handler to `delayed.logger.logger`. The simplest way is to call `delayed.logger.setup_logger()`:
+    ```python
+    from delayed.logger import setup_logger
+
+    setup_logger()
+    ```
+
+14. **Q: Can I enqueue and dequeue tasks in different Python versions?**  
+A: `delayed` uses the `pickle` module to serialize and deserialize tasks.
+If `pickle.HIGHEST_PROTOCOL` is equal among all your Python runtimes, you can use it without any configurations.
+Otherwise you have to choose the lowest `pickle.HIGHEST_PROTOCOL` of all your Python runtime as the pickle protocol.
+eg: If you want to enqueue a task in Python 3.7 and dequeue it in Python 2.7. Their `pickle.HIGHEST_PROTOCOL` are `4` and `2`, so you need to set the version to `2`:
+    ```python
+    from delayed.task import set_pickle_protocol_version
+
+    set_pickle_protocol_version(2)
+    ```
+
+15. **Q: Why not use JSON or MessagePack to serialize tasks?**  
+A: These serializations may confuse some types (eg: `bytes` / `str`, `list` / `tuple`).
+
+16. **Q: What will happen if I changed the pipe capacity?**  
+A: `delayed` assumes the pipe capacity is 65536 bytes (the default value on Linux and macOS).
+To reduce syscalls, it won't check whether the pipe is writable if the length of data to be written is less than 65536.
+If your system has a lower pipe capacity, the `PreforkedWorker` may not working well for some large tasks.
+To fix it, you can set a lower value to `delayed.constants.BUF_SIZE`:
+    ```python
+    import delayed.constants
+
+    delayed.constants.BUF_SIZE = 1024
+    ```
+
+## Release notes
+
+* 0.11:
+    1. Sleeps random time when a `Worker` fails to pop a `task` before retrying.
+
+* 0.10:
+    1. The `Sweeper` can handle multiple queues now. Its `queue` param has been changed to `queues`. (BREAKING CHANGE)
+    2. Changes the separator between `module_path` and `func_name` from `.` to `:`. (BREAKING CHANGE)
+
+* 0.9:
+    1. Adds `prior` and `error_handler` params to `deleyed.delayed()`, removes its `timeout()` method. (BREAKING CHANGE)
+    2. Adds [examples](examples).
+
+* 0.8:
+    1. The `Task` struct has been changed, it's not compatible with older versions. (BREAKING CHANGE)
+        * Removes `module_name` and `func_name` from `Task`, adds `func_path` instead.
+        * Adds `error_handler_path` to `Task`.
+    2. Removes `success_handler` and `error_handler` from `Worker`. (BREAKING CHANGE)
+
+* 0.7:
+    1. Implements prior task.
+
+* 0.6:
+    1. Adds `dequeued_len()` and `index` to `Queue`.
+
+* 0.5:
+    1. Adds `delayed.task.set_pickle_protocol_version()`.
+
+* 0.4:
+    1. Refactories and fixes bugs.
+
+* 0.3:
+    1. Changes param `second` to `timeout` for `delayed.delayed()`. (BREAKING CHANGE)
+    2. Adds debug log.
+
+* 0.2:
+    1. Adds `timeout()` to `delayed.delayed()`.
+
+* 0.1:
+    1. Init version.
+
+
+
+
+%package -n python3-delayed
+Summary:	a simple but robust task queue
+Provides:	python-delayed
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-delayed
+# delayed
+[![Build status](https://travis-ci.org/yizhisec/delayed.svg?branch=master)](https://secure.travis-ci.org/yizhisec/delayed)
+[![Coverage](https://codecov.io/gh/yizhisec/delayed/branch/master/graph/badge.svg)](https://codecov.io/gh/yizhisec/delayed)
+
+Delayed is a simple but robust task queue inspired by [rq](https://python-rq.org/).
+
+## Features
+
+* Robust: all the enqueued tasks will run exactly once, even if the worker got killed at any time.
+* Clean: finished tasks (including failed) won't take the space of your Redis.
+* Distributed: workers as more as needed can run in the same time without further config.
+
+## Requirements
+
+1. Python 2.7 or later, tested on Python 2.7, 3.3 - 3.9, PyPy and PyPy3.
+2. UNIX-like systems (with os.fork() implemented), tested on Ubuntu and macOS.
+3. Redis 2.6.0 or later.
+4. Keeps syncing time among all the machines of each task queue.
+
+## Getting started
+
+1. Run a redis server:
+
+    ```bash
+    $ redis-server
+    ```
+
+2. Install delayed:
+
+    ```bash
+    $ pip install delayed
+    ```
+
+3. Create a task queue:
+
+    ```python
+    import redis
+    from delayed.queue import Queue
+
+    conn = redis.Redis()
+    queue = Queue(name='default', conn=conn)
+    ```
+
+4. Four ways to enqueue a task:
+
+    * Define a task function and enqueue it:
+
+        ```python
+        from delayed.delay import delayed
+
+        delayed = delayed(queue)
+
+        @delayed()
+        def delayed_add(a, b):
+            return a + b
+
+        delayed_add.delay(1, 2)  # enqueue delayed_add
+        delayed_add.delay(1, b=2)  # same as above
+        delayed_add(1, 2)  # call it immediately
+        ```
+    * Directly enqueue a function:
+
+        ```python
+        from delayed.delay import delay, delayed
+
+        delay = delay(queue)
+        delayed = delayed(queue)
+
+        def add(a, b):
+            return a + b
+
+        delay(add)(1, 2)
+        delay(add)(1, b=2)  # same as above
+
+        delayed()(add).delay(1, 2)
+        delayed()(add).delay(1, b=2)  # same as above
+        ```
+    * Create a task and enqueue it:
+
+        ```python
+        from delayed.task import Task
+
+        def add(a, b):
+            return a + b
+
+        task = Task.create(func=add, args=(1,), kwargs={'b': 2})
+        queue.enqueue(task)
+        ```
+    * Enqueue a predefined task function without importing it:
+
+        ```python
+        from delayed.task import Task
+
+        task = Task(id=None, func_path='test:add', args=(1,), kwargs={'b': 2})
+        queue.enqueue(task)
+        ```
+
+5. Run a task worker (or more) in a separated process:
+
+    ```python
+    import redis
+    from delayed.queue import Queue
+    from delayed.worker import ForkedWorker
+
+    conn = redis.Redis()
+    queue = Queue(name='default', conn=conn)
+    worker = ForkedWorker(queue=queue)
+    worker.run()
+    ```
+
+6. Run a task sweeper in a separated process to recovery lost tasks (mainly due to the worker got killed):
+
+    ```python
+    import redis
+    from delayed.queue import Queue
+    from delayed.sweeper import Sweeper
+
+    conn = redis.Redis()
+    queue = Queue(name='default', conn=conn)
+    sweeper = Sweeper(queues=[queue])
+    sweeper.run()
+    ```
+
+## Examples
+
+See [examples](examples).
+
+    ```bash
+    $ redis-server &
+    $ pip install delayed
+    $ python -m examples.sweeper &
+    $ python -m examples.forked_worker &  # or python -m examples.preforked_worker &
+    $ python -m examples.caller
+    ```
+
+## QA
+
+1. **Q: What's the limitation on a task function?**  
+A: A task function should be defined in module level (except the `__main__` module). Its `args` and `kwargs` should be picklable.
+
+2. **Q: What's the `name` param of a queue?**  
+A: It's the key used to store the tasks of the queue. A queue with name "default" will use those keys:
+    * default: list, enqueued tasks.
+    * default_id: str, the next task id.
+    * default_noti: list, the same length as enqueued tasks.
+    * default_enqueued: sorted set, enqueued tasks with their timeouts.
+    * default_dequeued: sorted set, dequeued tasks with their dequeued timestamps.
+
+3. **Q: Why the worker is slow?**  
+A: The `ForkedWorker` forks a new process for each new task. So all the tasks are isolated and you won't leak memory.  
+To reduce the overhead of forking processes and importing modules, if your task function code won't be changed in the worker's lifetime, you can switch to `PreforkedWorker`:
+
+    ```python
+    import redis
+    from delayed.queue import Queue
+    from delayed.worker import PreforkedWorker
+
+    conn = redis.Redis()
+    queue = Queue(name='default', conn=conn)
+    worker = PreforkedWorker(queue=queue)
+    worker.run()
+    ```
+
+4. **Q: How does a `ForkedWorker` run?**  
+A: It runs such a loop:
+    1. It dequeues a task from the queue periodically.
+    2. It forks a child process to run the task.
+    3. It kills the child process if the child runs out of time.
+    4. When the child process exits, it releases the task.
+
+5. **Q: How does a `PreforkedWorker` run?**  
+A: It runs such a loop:
+    1. It dequeues a task from the queue periodically.
+    2. If it has no child process, it forks a new one.
+    3. It sends the task through a pipe to the child.
+    4. It kills the child process if the child runs out of time.
+    5. When the child process exits or it received result from the pipe, it releases the task.
+
+6. **Q: How does the child process of a worker run?**  
+A: The child of a `ForkedWorker` just runs the task, unmarks the task as dequeued, then exits.
+The child of a `PreforkedWorker` runs such a loop:
+    1. It tries to receive a task from the pipe.
+    2. If the pipe has been closed, it exits.
+    3. It runs the task.
+    4. It sends the task result to the pipe.
+    5. It releases the task.
+
+7. **Q: What's lost tasks?**  
+A: There are 2 situations a task might get lost:
+    * a worker popped a task notification, then got killed before dequeueing the task.
+    * a worker dequeued a task, then both the monitor and its child process got killed before they releasing the task.
+
+8. **Q: How to recovery lost tasks?**  
+A: Runs a sweeper. It dose two things:
+    * it keeps the task notification length the same as the task queue.
+    * it moves the timeout dequeued tasks back to the task queue.
+
+9. **Q: How to set the timeout of tasks?**  
+A: You can set `default_timeout` of a queue or `timeout` of a task:
+
+    ```python
+    from delayed.delay import delay_with_params
+
+    queue = Queue('default', conn, default_timeout=60)
+
+    delayed_add.timeout(10)(1, 2)
+
+    delay_with_params(queue)(timeout=10)(add)(1, 2)
+    ```
+
+10. **Q: How to enqueue a task in front of the queue?**  
+A: You can set `prior` of the task to `True`:
+
+    ```python
+    task = Task(id=None, func_path='test:add', args=(1, 2), prior=True)
+    queue.enqueue(task)
+    ```
+
+11. **Q: How to handle the failed tasks?**  
+A: Sets the `error_handler` of the task. The handlers would be called in a forked process, except the forked process got killed or the monitor process raised an exception.
+
+    ```python
+    from delayed.delay import delay_with_params
+
+    def error_handler(task, kill_signal, exc_info):
+        if kill_signal:
+            logging.error('task %d got killed by signal %d', task.id, kill_signal)
+        else:
+            logging.exception('task %d failed', task.id, exc_info=exc_info)
+
+    @delayed_with_param(queue)(error_handler=error_handler)
+    def error():
+        raise Exception
+
+    def error2():
+        raise Exception
+
+    task = Task.create(func_path='test:error2', error_handler=error_handler)
+    ```
+
+12. **Q: Why does sometimes the `error_handler` not be called for a failed task?**  
+A: If both the child process and the monitor process got killed at the same time, there is no chance to call the `error_handler`.
+
+13. **Q: How to turn on the debug logs?**  
+A: Adds a `logging.DEBUG` level handler to `delayed.logger.logger`. The simplest way is to call `delayed.logger.setup_logger()`:
+    ```python
+    from delayed.logger import setup_logger
+
+    setup_logger()
+    ```
+
+14. **Q: Can I enqueue and dequeue tasks in different Python versions?**  
+A: `delayed` uses the `pickle` module to serialize and deserialize tasks.
+If `pickle.HIGHEST_PROTOCOL` is equal among all your Python runtimes, you can use it without any configurations.
+Otherwise you have to choose the lowest `pickle.HIGHEST_PROTOCOL` of all your Python runtime as the pickle protocol.
+eg: If you want to enqueue a task in Python 3.7 and dequeue it in Python 2.7. Their `pickle.HIGHEST_PROTOCOL` are `4` and `2`, so you need to set the version to `2`:
+    ```python
+    from delayed.task import set_pickle_protocol_version
+
+    set_pickle_protocol_version(2)
+    ```
+
+15. **Q: Why not use JSON or MessagePack to serialize tasks?**  
+A: These serializations may confuse some types (eg: `bytes` / `str`, `list` / `tuple`).
+
+16. **Q: What will happen if I changed the pipe capacity?**  
+A: `delayed` assumes the pipe capacity is 65536 bytes (the default value on Linux and macOS).
+To reduce syscalls, it won't check whether the pipe is writable if the length of data to be written is less than 65536.
+If your system has a lower pipe capacity, the `PreforkedWorker` may not working well for some large tasks.
+To fix it, you can set a lower value to `delayed.constants.BUF_SIZE`:
+    ```python
+    import delayed.constants
+
+    delayed.constants.BUF_SIZE = 1024
+    ```
+
+## Release notes
+
+* 0.11:
+    1. Sleeps random time when a `Worker` fails to pop a `task` before retrying.
+
+* 0.10:
+    1. The `Sweeper` can handle multiple queues now. Its `queue` param has been changed to `queues`. (BREAKING CHANGE)
+    2. Changes the separator between `module_path` and `func_name` from `.` to `:`. (BREAKING CHANGE)
+
+* 0.9:
+    1. Adds `prior` and `error_handler` params to `deleyed.delayed()`, removes its `timeout()` method. (BREAKING CHANGE)
+    2. Adds [examples](examples).
+
+* 0.8:
+    1. The `Task` struct has been changed, it's not compatible with older versions. (BREAKING CHANGE)
+        * Removes `module_name` and `func_name` from `Task`, adds `func_path` instead.
+        * Adds `error_handler_path` to `Task`.
+    2. Removes `success_handler` and `error_handler` from `Worker`. (BREAKING CHANGE)
+
+* 0.7:
+    1. Implements prior task.
+
+* 0.6:
+    1. Adds `dequeued_len()` and `index` to `Queue`.
+
+* 0.5:
+    1. Adds `delayed.task.set_pickle_protocol_version()`.
+
+* 0.4:
+    1. Refactories and fixes bugs.
+
+* 0.3:
+    1. Changes param `second` to `timeout` for `delayed.delayed()`. (BREAKING CHANGE)
+    2. Adds debug log.
+
+* 0.2:
+    1. Adds `timeout()` to `delayed.delayed()`.
+
+* 0.1:
+    1. Init version.
+
+
+
+
+%package help
+Summary:	Development documents and examples for delayed
+Provides:	python3-delayed-doc
+%description help
+# delayed
+[![Build status](https://travis-ci.org/yizhisec/delayed.svg?branch=master)](https://secure.travis-ci.org/yizhisec/delayed)
+[![Coverage](https://codecov.io/gh/yizhisec/delayed/branch/master/graph/badge.svg)](https://codecov.io/gh/yizhisec/delayed)
+
+Delayed is a simple but robust task queue inspired by [rq](https://python-rq.org/).
+
+## Features
+
+* Robust: all the enqueued tasks will run exactly once, even if the worker got killed at any time.
+* Clean: finished tasks (including failed) won't take the space of your Redis.
+* Distributed: workers as more as needed can run in the same time without further config.
+
+## Requirements
+
+1. Python 2.7 or later, tested on Python 2.7, 3.3 - 3.9, PyPy and PyPy3.
+2. UNIX-like systems (with os.fork() implemented), tested on Ubuntu and macOS.
+3. Redis 2.6.0 or later.
+4. Keeps syncing time among all the machines of each task queue.
+
+## Getting started
+
+1. Run a redis server:
+
+    ```bash
+    $ redis-server
+    ```
+
+2. Install delayed:
+
+    ```bash
+    $ pip install delayed
+    ```
+
+3. Create a task queue:
+
+    ```python
+    import redis
+    from delayed.queue import Queue
+
+    conn = redis.Redis()
+    queue = Queue(name='default', conn=conn)
+    ```
+
+4. Four ways to enqueue a task:
+
+    * Define a task function and enqueue it:
+
+        ```python
+        from delayed.delay import delayed
+
+        delayed = delayed(queue)
+
+        @delayed()
+        def delayed_add(a, b):
+            return a + b
+
+        delayed_add.delay(1, 2)  # enqueue delayed_add
+        delayed_add.delay(1, b=2)  # same as above
+        delayed_add(1, 2)  # call it immediately
+        ```
+    * Directly enqueue a function:
+
+        ```python
+        from delayed.delay import delay, delayed
+
+        delay = delay(queue)
+        delayed = delayed(queue)
+
+        def add(a, b):
+            return a + b
+
+        delay(add)(1, 2)
+        delay(add)(1, b=2)  # same as above
+
+        delayed()(add).delay(1, 2)
+        delayed()(add).delay(1, b=2)  # same as above
+        ```
+    * Create a task and enqueue it:
+
+        ```python
+        from delayed.task import Task
+
+        def add(a, b):
+            return a + b
+
+        task = Task.create(func=add, args=(1,), kwargs={'b': 2})
+        queue.enqueue(task)
+        ```
+    * Enqueue a predefined task function without importing it:
+
+        ```python
+        from delayed.task import Task
+
+        task = Task(id=None, func_path='test:add', args=(1,), kwargs={'b': 2})
+        queue.enqueue(task)
+        ```
+
+5. Run a task worker (or more) in a separated process:
+
+    ```python
+    import redis
+    from delayed.queue import Queue
+    from delayed.worker import ForkedWorker
+
+    conn = redis.Redis()
+    queue = Queue(name='default', conn=conn)
+    worker = ForkedWorker(queue=queue)
+    worker.run()
+    ```
+
+6. Run a task sweeper in a separated process to recovery lost tasks (mainly due to the worker got killed):
+
+    ```python
+    import redis
+    from delayed.queue import Queue
+    from delayed.sweeper import Sweeper
+
+    conn = redis.Redis()
+    queue = Queue(name='default', conn=conn)
+    sweeper = Sweeper(queues=[queue])
+    sweeper.run()
+    ```
+
+## Examples
+
+See [examples](examples).
+
+    ```bash
+    $ redis-server &
+    $ pip install delayed
+    $ python -m examples.sweeper &
+    $ python -m examples.forked_worker &  # or python -m examples.preforked_worker &
+    $ python -m examples.caller
+    ```
+
+## QA
+
+1. **Q: What's the limitation on a task function?**  
+A: A task function should be defined in module level (except the `__main__` module). Its `args` and `kwargs` should be picklable.
+
+2. **Q: What's the `name` param of a queue?**  
+A: It's the key used to store the tasks of the queue. A queue with name "default" will use those keys:
+    * default: list, enqueued tasks.
+    * default_id: str, the next task id.
+    * default_noti: list, the same length as enqueued tasks.
+    * default_enqueued: sorted set, enqueued tasks with their timeouts.
+    * default_dequeued: sorted set, dequeued tasks with their dequeued timestamps.
+
+3. **Q: Why the worker is slow?**  
+A: The `ForkedWorker` forks a new process for each new task. So all the tasks are isolated and you won't leak memory.  
+To reduce the overhead of forking processes and importing modules, if your task function code won't be changed in the worker's lifetime, you can switch to `PreforkedWorker`:
+
+    ```python
+    import redis
+    from delayed.queue import Queue
+    from delayed.worker import PreforkedWorker
+
+    conn = redis.Redis()
+    queue = Queue(name='default', conn=conn)
+    worker = PreforkedWorker(queue=queue)
+    worker.run()
+    ```
+
+4. **Q: How does a `ForkedWorker` run?**  
+A: It runs such a loop:
+    1. It dequeues a task from the queue periodically.
+    2. It forks a child process to run the task.
+    3. It kills the child process if the child runs out of time.
+    4. When the child process exits, it releases the task.
+
+5. **Q: How does a `PreforkedWorker` run?**  
+A: It runs such a loop:
+    1. It dequeues a task from the queue periodically.
+    2. If it has no child process, it forks a new one.
+    3. It sends the task through a pipe to the child.
+    4. It kills the child process if the child runs out of time.
+    5. When the child process exits or it received result from the pipe, it releases the task.
+
+6. **Q: How does the child process of a worker run?**  
+A: The child of a `ForkedWorker` just runs the task, unmarks the task as dequeued, then exits.
+The child of a `PreforkedWorker` runs such a loop:
+    1. It tries to receive a task from the pipe.
+    2. If the pipe has been closed, it exits.
+    3. It runs the task.
+    4. It sends the task result to the pipe.
+    5. It releases the task.
+
+7. **Q: What's lost tasks?**  
+A: There are 2 situations a task might get lost:
+    * a worker popped a task notification, then got killed before dequeueing the task.
+    * a worker dequeued a task, then both the monitor and its child process got killed before they releasing the task.
+
+8. **Q: How to recovery lost tasks?**  
+A: Runs a sweeper. It dose two things:
+    * it keeps the task notification length the same as the task queue.
+    * it moves the timeout dequeued tasks back to the task queue.
+
+9. **Q: How to set the timeout of tasks?**  
+A: You can set `default_timeout` of a queue or `timeout` of a task:
+
+    ```python
+    from delayed.delay import delay_with_params
+
+    queue = Queue('default', conn, default_timeout=60)
+
+    delayed_add.timeout(10)(1, 2)
+
+    delay_with_params(queue)(timeout=10)(add)(1, 2)
+    ```
+
+10. **Q: How to enqueue a task in front of the queue?**  
+A: You can set `prior` of the task to `True`:
+
+    ```python
+    task = Task(id=None, func_path='test:add', args=(1, 2), prior=True)
+    queue.enqueue(task)
+    ```
+
+11. **Q: How to handle the failed tasks?**  
+A: Sets the `error_handler` of the task. The handlers would be called in a forked process, except the forked process got killed or the monitor process raised an exception.
+
+    ```python
+    from delayed.delay import delay_with_params
+
+    def error_handler(task, kill_signal, exc_info):
+        if kill_signal:
+            logging.error('task %d got killed by signal %d', task.id, kill_signal)
+        else:
+            logging.exception('task %d failed', task.id, exc_info=exc_info)
+
+    @delayed_with_param(queue)(error_handler=error_handler)
+    def error():
+        raise Exception
+
+    def error2():
+        raise Exception
+
+    task = Task.create(func_path='test:error2', error_handler=error_handler)
+    ```
+
+12. **Q: Why does sometimes the `error_handler` not be called for a failed task?**  
+A: If both the child process and the monitor process got killed at the same time, there is no chance to call the `error_handler`.
+
+13. **Q: How to turn on the debug logs?**  
+A: Adds a `logging.DEBUG` level handler to `delayed.logger.logger`. The simplest way is to call `delayed.logger.setup_logger()`:
+    ```python
+    from delayed.logger import setup_logger
+
+    setup_logger()
+    ```
+
+14. **Q: Can I enqueue and dequeue tasks in different Python versions?**  
+A: `delayed` uses the `pickle` module to serialize and deserialize tasks.
+If `pickle.HIGHEST_PROTOCOL` is equal among all your Python runtimes, you can use it without any configurations.
+Otherwise you have to choose the lowest `pickle.HIGHEST_PROTOCOL` of all your Python runtime as the pickle protocol.
+eg: If you want to enqueue a task in Python 3.7 and dequeue it in Python 2.7. Their `pickle.HIGHEST_PROTOCOL` are `4` and `2`, so you need to set the version to `2`:
+    ```python
+    from delayed.task import set_pickle_protocol_version
+
+    set_pickle_protocol_version(2)
+    ```
+
+15. **Q: Why not use JSON or MessagePack to serialize tasks?**  
+A: These serializations may confuse some types (eg: `bytes` / `str`, `list` / `tuple`).
+
+16. **Q: What will happen if I changed the pipe capacity?**  
+A: `delayed` assumes the pipe capacity is 65536 bytes (the default value on Linux and macOS).
+To reduce syscalls, it won't check whether the pipe is writable if the length of data to be written is less than 65536.
+If your system has a lower pipe capacity, the `PreforkedWorker` may not working well for some large tasks.
+To fix it, you can set a lower value to `delayed.constants.BUF_SIZE`:
+    ```python
+    import delayed.constants
+
+    delayed.constants.BUF_SIZE = 1024
+    ```
+
+## Release notes
+
+* 0.11:
+    1. Sleeps random time when a `Worker` fails to pop a `task` before retrying.
+
+* 0.10:
+    1. The `Sweeper` can handle multiple queues now. Its `queue` param has been changed to `queues`. (BREAKING CHANGE)
+    2. Changes the separator between `module_path` and `func_name` from `.` to `:`. (BREAKING CHANGE)
+
+* 0.9:
+    1. Adds `prior` and `error_handler` params to `deleyed.delayed()`, removes its `timeout()` method. (BREAKING CHANGE)
+    2. Adds [examples](examples).
+
+* 0.8:
+    1. The `Task` struct has been changed, it's not compatible with older versions. (BREAKING CHANGE)
+        * Removes `module_name` and `func_name` from `Task`, adds `func_path` instead.
+        * Adds `error_handler_path` to `Task`.
+    2. Removes `success_handler` and `error_handler` from `Worker`. (BREAKING CHANGE)
+
+* 0.7:
+    1. Implements prior task.
+
+* 0.6:
+    1. Adds `dequeued_len()` and `index` to `Queue`.
+
+* 0.5:
+    1. Adds `delayed.task.set_pickle_protocol_version()`.
+
+* 0.4:
+    1. Refactories and fixes bugs.
+
+* 0.3:
+    1. Changes param `second` to `timeout` for `delayed.delayed()`. (BREAKING CHANGE)
+    2. Adds debug log.
+
+* 0.2:
+    1. Adds `timeout()` to `delayed.delayed()`.
+
+* 0.1:
+    1. Init version.
+
+
+
+
+%prep
+%autosetup -n delayed-0.11.0b1
+
+%build
+%py3_build
+
+%install
+%py3_install
+install -d -m755 %{buildroot}/%{_pkgdocdir}
+if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
+if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
+if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
+if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
+pushd %{buildroot}
+if [ -d usr/lib ]; then
+	find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+if [ -d usr/lib64 ]; then
+	find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+if [ -d usr/bin ]; then
+	find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+if [ -d usr/sbin ]; then
+	find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+touch doclist.lst
+if [ -d usr/share/man ]; then
+	find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst
+fi
+popd
+mv %{buildroot}/filelist.lst .
+mv %{buildroot}/doclist.lst .
+
+%files -n python3-delayed -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Tue Apr 11 2023 Python_Bot <Python_Bot@openeuler.org> - 0.11.0b1-1
+- Package Spec generated