Document utilities

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Andras Schmelczer 2022-07-10 19:37:45 +02:00
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21 changed files with 371 additions and 29 deletions

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@ -81,6 +81,47 @@ def threaded_parallel_map(
concurrency: Optional[int] = None,
unordered: bool = False,
) -> Iterable[Optional[V]]:
"""Execute a map operation on an iterable stream.
Similar to [parallel_map][great_ai.utilities.parallel_map.parallel_map.parallel_map]
but uses threads instead of processes. Hence, it is not helpful in CPU-bound
situations.
A custom parallel map operation supporting both synchronous and `async` map
functions. Exceptions encountered in the map function are sent to the host thread
where they are either raised (default) or ignored. Each process processes a single
chunk at once.
Examples:
>>> list(threaded_parallel_map(lambda x: x ** 2, [1, 2, 3]))
[1, 4, 9]
Args:
func: The function that should be applied to each element of `input_values`.
It can `async`, in that case, a new event loop is started for each chunk.
input_values: An iterable of items that `func` is applied to.
chunk_size: Tune the number of items processed in each step. Larger numbers
result in smaller communication overhead but less parallelism at the start
and end. If `chunk_size` has a `__len__` property, the `chunk_size` is
calculated automatically if not given.
ignore_exceptions: Ignore chunks if `next()` raises an exception on
`input_values`. And return `None` if `func` raised an exception in a worker
process.
concurrency: Number of new threads to start.
unordered: Do not preserve the order of the elements, yield them as soon as they
have been processed. This decreases the latency caused by
difficult-to-process items.
Yields:
The next result obtained from applying `func` to each input value. May
contain `None`-s if `ignore_exceptions=True`. May have different order than
the input if `unordered=True`.
Raises:
WorkerException: If there was an error in the `func` function in a background
thread and `ignore_exceptions=False`.
"""
config = get_config(
function=func,
input_values=input_values,