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
Support
If you find this project useful:
License
2 maintainers
Release files for philiprehberger-progress-map 0.1.6
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| philiprehberger_progress_map-0.1.6-py3-none-any.whl | Python 3 | none | any | Details |
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Release files / philiprehberger_progress_map-0.1.6.tar.gz
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