renamed group_size to num_concurrent in _map

docs/source/pages/control.rst

@@ -96,9 +96,9 @@ When you are dealing with a regular :py:class:`TaskPool <asyncio_taskpool.pool.T
 
 .. code-block:: none
 
-   > map mypackage.mymodule.worker ['x','y','z'] -g 3
+   > map mypackage.mymodule.worker ['x','y','z'] -n 3
 
-The :code:`-g` is a shorthand for :code:`--group-size` in this case. In general, all (public) pool methods will have a corresponding command in the control session.
+The :code:`-n` is a shorthand for :code:`--num-concurrent` in this case. In general, all (public) pool methods will have a corresponding command in the control session.
 
 .. note::
 

docs/source/pages/pool.rst

@@ -46,7 +46,7 @@ Let's take a look at an example. Say you have a coroutine function that takes tw
    async def queue_worker_function(in_queue: Queue, out_queue: Queue) -> None:
        while True:
            item = await in_queue.get()
-           ... # Do some work on the item amd arrive at a result.
+           ... # Do some work on the item and arrive at a result.
            await out_queue.put(result)
 
 How would we go about concurrently executing this function, say 5 times? There are (as always) a number of ways to do this with :code:`asyncio`. If we want to use tasks and be clean about it, we can do it like this:
@@ -141,7 +141,7 @@ Or we could use a task pool:
    async def main():
        ...
        pool = TaskPool()
-       await pool.map(another_worker_function, data_iterator, group_size=5)
+       await pool.map(another_worker_function, data_iterator, num_concurrent=5)
        ...
        pool.lock()
        await pool.gather_and_close()
@@ -231,5 +231,6 @@ One method to be aware of is :py:meth:`.flush() <asyncio_taskpool.pool.BaseTaskP
 
 In general, the act of adding tasks to a pool is non-blocking, no matter which particular methods are used. The only notable exception is when a limit on the pool size has been set and there is "not enough room" to add a task. In this case, both :py:meth:`SimpleTaskPool.start() <asyncio_taskpool.pool.SimpleTaskPool.start>` and :py:meth:`TaskPool.apply() <asyncio_taskpool.pool.TaskPool.apply>` will block until the desired number of new tasks found room in the pool (either because other tasks have ended or because the pool size was increased).
 
-:py:meth:`TaskPool.map() <asyncio_taskpool.pool.TaskPool.map>` (and its variants) will **never** block. Since it makes use of "meta-tasks" under the hood, it will always return immediately. However, if the pool was full when it was called, there is **no guarantee** that even a single task has started, when the method returns.
+:py:meth:`TaskPool.map() <asyncio_taskpool.pool.TaskPool.map>` (and its variants) will **never** block. Since it makes use of a "meta-task" under the hood, it will always return immediately. However, if the pool was full when it was called, there is **no guarantee** that even a single task has started, when the method returns.
+:py:meth:`TaskPool.map() <asyncio_taskpool.pool.TaskPool.map>` (and its variants) will **never** block. Since it makes use of a "meta-task" under the hood, it will always return immediately. However, if the pool was full when it was called, there is **no guarantee** that even a single task has started, when the method returns.
 

src/asyncio_taskpool/pool.py

@@ -718,12 +718,12 @@ class TaskPool(BaseTaskPool):
             await execute_optional(actual_end_callback, args=(task_id,))
         return release_callback
 
-    async def _arg_consumer(self, group_name: str, group_size: int, func: CoroutineFunc, arg_iter: ArgsT,
+    async def _arg_consumer(self, group_name: str, num_concurrent: int, func: CoroutineFunc, arg_iter: ArgsT,
                             arg_stars: int, end_callback: EndCB = None, cancel_callback: CancelCB = None) -> None:
         """
         Consumes arguments from :meth:`_map` and keeps a limited number of tasks working on them.
 
-        The `group_size` acts as the limiting value of an internal semaphore, which must be acquired before a new task
+        `num_concurrent` acts as the limiting value of an internal semaphore, which must be acquired before a new task
         can be started, and which must be released when one of these tasks ends.
 
         Intended to be run as a meta task of a specific group.
@@ -731,7 +731,7 @@ class TaskPool(BaseTaskPool):
         Args:
             group_name:
                 Name of the associated task group; passed into :meth:`_start_task`.
-            group_size:
+            num_concurrent:
                 The maximum number new tasks spawned by this method to run concurrently.
             func:
                 The coroutine function to use for spawning the new tasks within the task pool.
@@ -746,7 +746,7 @@ class TaskPool(BaseTaskPool):
                 The callback that was specified to execute after cancellation of the task (and the next one).
                 It is run with the task's ID as its only positional argument.
         """
-        map_semaphore = Semaphore(group_size)
+        map_semaphore = Semaphore(num_concurrent)
         release_cb = self._get_map_end_callback(map_semaphore, actual_end_callback=end_callback)
         for next_arg in arg_iter:
             # When the number of running tasks spawned by this method reaches the specified maximum,
@@ -768,7 +768,7 @@ class TaskPool(BaseTaskPool):
                               str(e.__class__.__name__), func.__name__, '*' * arg_stars, str(next_arg))
                 map_semaphore.release()
 
-    async def _map(self, group_name: str, group_size: int, func: CoroutineFunc, arg_iter: ArgsT, arg_stars: int,
+    async def _map(self, group_name: str, num_concurrent: int, func: CoroutineFunc, arg_iter: ArgsT, arg_stars: int,
                    end_callback: EndCB = None, cancel_callback: CancelCB = None) -> None:
         """
         Creates tasks in the pool with arguments from the supplied iterable.
@@ -777,21 +777,21 @@ class TaskPool(BaseTaskPool):
 
         All the new tasks are added to the same task group.
 
-        The `group_size` determines the maximum number of tasks spawned this way that shall be running concurrently at
-        any given moment in time. As soon as one task from this group ends, it triggers the start of a new task
+        `num_concurrent` determines the (maximum) number of tasks spawned this way that shall be running concurrently at
+        any given moment in time. As soon as one task from this method call ends, it triggers the start of a new task
         (assuming there is room in the pool), which consumes the next element from the arguments iterable. If the size
-        of the pool never imposes a limit, this ensures that the number of tasks belonging to this group and running
-        concurrently is always equal to `group_size` (except for when `arg_iter` is exhausted of course).
+        of the pool never imposes a limit, this ensures that the number of tasks spawned and running concurrently is
+        always equal to `num_concurrent` (except for when `arg_iter` is exhausted of course).
 
         Because this method delegates the spawning of the tasks to a meta task, it **never blocks**. However, just
         because this method returns immediately, this does not mean that any task was started or that any number of
-        tasks will start soon, as this is solely determined by the :attr:`BaseTaskPool.pool_size` and the `group_size`.
+        tasks will start soon, as this is solely determined by the :attr:`BaseTaskPool.pool_size` and `num_concurrent`.
 
         Args:
             group_name:
                 Name of the task group to add the new tasks to. It must be a name that doesn't exist yet.
-            group_size:
-                The maximum number new tasks spawned by this method to run concurrently.
+            num_concurrent:
+                The number new tasks spawned by this method to run concurrently.
             func:
                 The coroutine function to use for spawning the new tasks within the task pool.
             arg_iter:
@@ -806,21 +806,21 @@ class TaskPool(BaseTaskPool):
                 It is run with the task's ID as its only positional argument.
 
         Raises:
-            `ValueError`: `group_size` is less than 1.
+            `ValueError`: `num_concurrent` is less than 1.
             `asyncio_taskpool.exceptions.InvalidGroupName`: A group named `group_name` exists in the pool.
         """
         self._check_start(function=func)
-        if group_size < 1:
-            raise ValueError(f"Group size must be a positive integer.")
+        if num_concurrent < 1:
+            raise ValueError("`num_concurrent` must be a positive integer.")
         if group_name in self._task_groups.keys():
             raise exceptions.InvalidGroupName(f"Group named {group_name} already exists!")
         self._task_groups[group_name] = group_reg = TaskGroupRegister()
         async with group_reg:
             meta_tasks = self._group_meta_tasks_running.setdefault(group_name, set())
-            meta_tasks.add(create_task(self._arg_consumer(group_name, group_size, func, arg_iter, arg_stars,
+            meta_tasks.add(create_task(self._arg_consumer(group_name, num_concurrent, func, arg_iter, arg_stars,
                                                           end_callback=end_callback, cancel_callback=cancel_callback)))
 
-    async def map(self, func: CoroutineFunc, arg_iter: ArgsT, group_size: int = 1, group_name: str = None,
+    async def map(self, func: CoroutineFunc, arg_iter: ArgsT, num_concurrent: int = 1, group_name: str = None,
                   end_callback: EndCB = None, cancel_callback: CancelCB = None) -> str:
         """
         A task-based equivalent of the `multiprocessing.pool.Pool.map` method.
@@ -830,25 +830,23 @@ class TaskPool(BaseTaskPool):
 
         All the new tasks are added to the same task group.
 
-        The `group_size` determines the maximum number of tasks spawned this way that shall be running concurrently at
-        any given moment in time. As soon as one task from this group ends, it triggers the start of a new task
+        `num_concurrent` determines the (maximum) number of tasks spawned this way that shall be running concurrently at
+        any given moment in time. As soon as one task from this method call ends, it triggers the start of a new task
         (assuming there is room in the pool), which consumes the next element from the arguments iterable. If the size
-        of the pool never imposes a limit, this ensures that the number of tasks belonging to this group and running
-        concurrently is always equal to `group_size` (except for when `arg_iter` is exhausted of course).
+        of the pool never imposes a limit, this ensures that the number of tasks spawned and running concurrently is
+        always equal to `num_concurrent` (except for when `arg_iter` is exhausted of course).
 
-        This method sets up an internal arguments queue which is continuously filled while consuming the `arg_iter`.
-        Because this method delegates the spawning of the tasks to two meta tasks (a producer and a consumer of the
-        aforementioned queue), it **never blocks**. However, just because this method returns immediately, this does
-        not mean that any task was started or that any number of tasks will start soon, as this is solely determined by
-        the :attr:`BaseTaskPool.pool_size` and the `group_size`.
+        Because this method delegates the spawning of the tasks to a meta task, it **never blocks**. However, just
+        because this method returns immediately, this does not mean that any task was started or that any number of
+        tasks will start soon, as this is solely determined by the :attr:`BaseTaskPool.pool_size` and `num_concurrent`.
 
         Args:
             func:
                 The coroutine function to use for spawning the new tasks within the task pool.
             arg_iter:
                 The iterable of arguments; each argument is to be passed into a `func` call when spawning a new task.
-            group_size (optional):
-                The maximum number new tasks spawned by this method to run concurrently. Defaults to 1.
+            num_concurrent (optional):
+                The number new tasks spawned by this method to run concurrently. Defaults to 1.
             group_name (optional):
                 Name of the task group to add the new tasks to. If provided, it must be a name that doesn't exist yet.
             end_callback (optional):
@@ -865,16 +863,16 @@ class TaskPool(BaseTaskPool):
             `PoolIsClosed`: The pool is closed.
             `NotCoroutine`: `func` is not a coroutine function.
             `PoolIsLocked`: The pool is currently locked.
-            `ValueError`: `group_size` is less than 1.
+            `ValueError`: `num_concurrent` is less than 1.
             `InvalidGroupName`: A group named `group_name` exists in the pool.
         """
         if group_name is None:
             group_name = self._generate_group_name('map', func)
-        await self._map(group_name, group_size, func, arg_iter, 0,
+        await self._map(group_name, num_concurrent, func, arg_iter, 0,
                         end_callback=end_callback, cancel_callback=cancel_callback)
         return group_name
 
-    async def starmap(self, func: CoroutineFunc, args_iter: Iterable[ArgsT], group_size: int = 1,
+    async def starmap(self, func: CoroutineFunc, args_iter: Iterable[ArgsT], num_concurrent: int = 1,
                       group_name: str = None, end_callback: EndCB = None, cancel_callback: CancelCB = None) -> str:
         """
         Like :meth:`map` except that the elements of `args_iter` are expected to be iterables themselves to be unpacked
@@ -883,11 +881,11 @@ class TaskPool(BaseTaskPool):
         """
         if group_name is None:
             group_name = self._generate_group_name('starmap', func)
-        await self._map(group_name, group_size, func, args_iter, 1,
+        await self._map(group_name, num_concurrent, func, args_iter, 1,
                         end_callback=end_callback, cancel_callback=cancel_callback)
         return group_name
 
-    async def doublestarmap(self, func: CoroutineFunc, kwargs_iter: Iterable[KwArgsT], group_size: int = 1,
+    async def doublestarmap(self, func: CoroutineFunc, kwargs_iter: Iterable[KwArgsT], num_concurrent: int = 1,
                             group_name: str = None, end_callback: EndCB = None,
                             cancel_callback: CancelCB = None) -> str:
         """
@@ -897,7 +895,7 @@ class TaskPool(BaseTaskPool):
         """
         if group_name is None:
             group_name = self._generate_group_name('doublestarmap', func)
-        await self._map(group_name, group_size, func, kwargs_iter, 2,
+        await self._map(group_name, num_concurrent, func, kwargs_iter, 2,
                         end_callback=end_callback, cancel_callback=cancel_callback)
         return group_name
 

tests/test_pool.py

@@ -655,18 +655,18 @@ class TaskPoolTestCase(CommonTestCase):
     async def test_map(self, mock__generate_group_name: MagicMock, mock__map: AsyncMock):
         mock__generate_group_name.return_value = generated_name = 'name 1 2 3'
         mock_func = MagicMock()
-        arg_iter, group_size, group_name = (FOO, BAR, 1, 2, 3), 2, FOO + BAR
+        arg_iter, num_concurrent, group_name = (FOO, BAR, 1, 2, 3), 2, FOO + BAR
         end_cb, cancel_cb = MagicMock(), MagicMock()
-        output = await self.task_pool.map(mock_func, arg_iter, group_size, group_name, end_cb, cancel_cb)
+        output = await self.task_pool.map(mock_func, arg_iter, num_concurrent, group_name, end_cb, cancel_cb)
         self.assertEqual(group_name, output)
-        mock__map.assert_awaited_once_with(group_name, group_size, mock_func, arg_iter, 0,
+        mock__map.assert_awaited_once_with(group_name, num_concurrent, mock_func, arg_iter, 0,
                                            end_callback=end_cb, cancel_callback=cancel_cb)
         mock__generate_group_name.assert_not_called()
 
         mock__map.reset_mock()
-        output = await self.task_pool.map(mock_func, arg_iter, group_size, None, end_cb, cancel_cb)
+        output = await self.task_pool.map(mock_func, arg_iter, num_concurrent, None, end_cb, cancel_cb)
         self.assertEqual(generated_name, output)
-        mock__map.assert_awaited_once_with(generated_name, group_size, mock_func, arg_iter, 0,
+        mock__map.assert_awaited_once_with(generated_name, num_concurrent, mock_func, arg_iter, 0,
                                            end_callback=end_cb, cancel_callback=cancel_cb)
         mock__generate_group_name.assert_called_once_with('map', mock_func)
 
@@ -675,18 +675,18 @@ class TaskPoolTestCase(CommonTestCase):
     async def test_starmap(self, mock__generate_group_name: MagicMock, mock__map: AsyncMock):
         mock__generate_group_name.return_value = generated_name = 'name 1 2 3'
         mock_func = MagicMock()
-        args_iter, group_size, group_name = ([FOO], [BAR]), 2, FOO + BAR
+        args_iter, num_concurrent, group_name = ([FOO], [BAR]), 2, FOO + BAR
         end_cb, cancel_cb = MagicMock(), MagicMock()
-        output = await self.task_pool.starmap(mock_func, args_iter, group_size, group_name, end_cb, cancel_cb)
+        output = await self.task_pool.starmap(mock_func, args_iter, num_concurrent, group_name, end_cb, cancel_cb)
         self.assertEqual(group_name, output)
-        mock__map.assert_awaited_once_with(group_name, group_size, mock_func, args_iter, 1,
+        mock__map.assert_awaited_once_with(group_name, num_concurrent, mock_func, args_iter, 1,
                                            end_callback=end_cb, cancel_callback=cancel_cb)
         mock__generate_group_name.assert_not_called()
 
         mock__map.reset_mock()
-        output = await self.task_pool.starmap(mock_func, args_iter, group_size, None, end_cb, cancel_cb)
+        output = await self.task_pool.starmap(mock_func, args_iter, num_concurrent, None, end_cb, cancel_cb)
         self.assertEqual(generated_name, output)
-        mock__map.assert_awaited_once_with(generated_name, group_size, mock_func, args_iter, 1,
+        mock__map.assert_awaited_once_with(generated_name, num_concurrent, mock_func, args_iter, 1,
                                            end_callback=end_cb, cancel_callback=cancel_cb)
         mock__generate_group_name.assert_called_once_with('starmap', mock_func)
 
@@ -695,18 +695,18 @@ class TaskPoolTestCase(CommonTestCase):
     async def test_doublestarmap(self, mock__generate_group_name: MagicMock, mock__map: AsyncMock):
         mock__generate_group_name.return_value = generated_name = 'name 1 2 3'
         mock_func = MagicMock()
-        kwargs_iter, group_size, group_name = [{'a': FOO}, {'a': BAR}], 2, FOO + BAR
+        kw_iter, num_concurrent, group_name = [{'a': FOO}, {'a': BAR}], 2, FOO + BAR
         end_cb, cancel_cb = MagicMock(), MagicMock()
-        output = await self.task_pool.doublestarmap(mock_func, kwargs_iter, group_size, group_name, end_cb, cancel_cb)
+        output = await self.task_pool.doublestarmap(mock_func, kw_iter, num_concurrent, group_name, end_cb, cancel_cb)
         self.assertEqual(group_name, output)
-        mock__map.assert_awaited_once_with(group_name, group_size, mock_func, kwargs_iter, 2,
+        mock__map.assert_awaited_once_with(group_name, num_concurrent, mock_func, kw_iter, 2,
                                            end_callback=end_cb, cancel_callback=cancel_cb)
         mock__generate_group_name.assert_not_called()
 
         mock__map.reset_mock()
-        output = await self.task_pool.doublestarmap(mock_func, kwargs_iter, group_size, None, end_cb, cancel_cb)
+        output = await self.task_pool.doublestarmap(mock_func, kw_iter, num_concurrent, None, end_cb, cancel_cb)
         self.assertEqual(generated_name, output)
-        mock__map.assert_awaited_once_with(generated_name, group_size, mock_func, kwargs_iter, 2,
+        mock__map.assert_awaited_once_with(generated_name, num_concurrent, mock_func, kw_iter, 2,
                                            end_callback=end_cb, cancel_callback=cancel_cb)
         mock__generate_group_name.assert_called_once_with('doublestarmap', mock_func)
 

usage/USAGE.md

@@ -41,7 +41,7 @@ async def main() -> None:
     pool = SimpleTaskPool(work, args=(5,))  # initializes the pool; no work is being done yet
     await pool.start(3)  # launches work tasks 0, 1, and 2
     await asyncio.sleep(1.5)  # lets the tasks work for a bit
-    await pool.start()  # launches work task 3
+    await pool.start(1)  # launches work task 3
     await asyncio.sleep(1.5)  # lets the tasks work for a bit
     pool.stop(2)  # cancels tasks 3 and 2 (LIFO order)
     pool.lock()  # required for the last line
@@ -135,7 +135,7 @@ async def main() -> None:
     # Once there is room in the pool again, the third and fourth will each start (with IDs 4 and 5)
     # only once there is room in the pool and no more than one other task of these new ones is running.
     args_list = [(0, 10), (10, 20), (20, 30), (30, 40)]
-    await pool.starmap(other_work, args_list, group_size=2)
+    await pool.starmap(other_work, args_list, num_concurrent=2)
     print("> Called `starmap`")
     # Now we lock the pool, so that we can safely await all our tasks.
     pool.lock()
@@ -199,7 +199,7 @@ Started TaskPool-0_Task-3
 > other_work with 15
 Ended TaskPool-0_Task-0
 Ended TaskPool-0_Task-1    <--- these two end and free up two more slots in the pool
-Started TaskPool-0_Task-4    <--- since the group size is set to 2, Task-5 will not start
+Started TaskPool-0_Task-4    <--- since `num_concurrent` is set to 2, Task-5 will not start
 > work with 190
 > work with 190
 > other_work with 16