pl.task.run
Iterates over one or more stages until their iterators run out of elements.
import pypeln as pl
data = get_data()
stage = pl.process.each(slow_fn, data, workers=6)
# execute pipeline
pl.process.run(stage)
Parameters:
| Name | Type | Description | Default | 
|---|---|---|---|
stages | 
        Union[pypeln.task.stage.Stage[~A], Iterable[~A], AsyncIterable[~A]] | 
        A stage/iterable or list of stages/iterables to be iterated over. If a list is passed, stages are first merged using   | 
        () | 
      
maxsize | 
        int | 
        The maximum number of objects the stage can hold simultaneously, if set to   | 
        0 | 
      
Source code in pypeln/task/api/run.py
          def run(
    *stages: tp.Union[Stage[A], tp.Iterable[A], tp.AsyncIterable[A]], maxsize: int = 0
) -> None:
    """
    Iterates over one or more stages until their iterators run out of elements.
    ```python
    import pypeln as pl
    data = get_data()
    stage = pl.process.each(slow_fn, data, workers=6)
    # execute pipeline
    pl.process.run(stage)
    ```
    Arguments:
        stages: A stage/iterable or list of stages/iterables to be iterated over. If a list is passed, stages are first merged using `concat` before iterating.
        maxsize: The maximum number of objects the stage can hold simultaneously, if set to `0` (default) then the stage can grow unbounded.
    """
    if len(stages) == 0:
        return
    elif len(stages) == 1:
        stage = to_iterable(stages[0], maxsize=maxsize)
    else:
        stage = concat(list(stages), maxsize=maxsize)
    for _ in stage:
        pass