philiprehberger-progress-map 0.1.5

Parallel map with a built-in terminal progress bar

philiprehberger-progress-map

Parallel map with a built-in terminal progress bar.

Installation

pip install philiprehberger-progress-map

Usage

from philiprehberger_progress_map import pmap

def process(x):
    return x * 2

results = pmap(process, range(100))

Use multiprocessing instead of threading:

results = pmap(process, range(100), mp=True, workers=8)

Customize the progress display:

results = pmap(process, items, label="Processing", show_progress=True)

API

pmap(func, items, *, workers=4, mp=False, label="", show_progress=True)

Parameter	Type	Default	Description
func	Callable[[T], R]	—	Function to apply to each item
items	Iterable[T]	—	Iterable of items to process
workers	int	4	Number of worker threads or processes
mp	bool	False	Use multiprocessing instead of threading
label	str	""	Optional label prefix for the progress bar
show_progress	bool	True	Whether to display the progress bar

Returns: list[R] — Results in the same order as the input items.

Development

pip install -e .
python -m pytest tests/ -v

License

MIT