A package of iterators for advancing from start to stop
Project description
steppyngstounes / ˈstɛp ɪŋˌstoʊnz /
1. pl. n. [Middle English] Stones used as steps of a stairway; also, stones in a stream used for crossing. [1]
…while at Calais in 1474 we find 40 ‘steppyngstounes’ bought for the stairways of the town. [2]
2. n. [chiefly Pythonic] A package that provides iterators for advancing from start to stop, subject to algorithms that depend on user-defined value or error.
Documentation: https://pages.nist.gov/steppyngstounes/en/latest
Discussion: https://github.com/usnistgov/steppyngstounes/discussions
Source code: https://github.com/usnistgov/steppyngstounes
Bug reports: https://github.com/usnistgov/steppyngstounes/issues
A steppyngstounes control loop replaces an iteration loop like
for step in range(steps):
do_something(step)
It can be as simple as
from steppyngstounes import FixedStepper
for step in FixedStepper(start=0., stop=totaltime, size=dt):
do_something(step.size)
_ = step.succeeded()
or a more elaborate combination of checkpoints and adaptive steps
from steppyngstounes import CheckpointStepper, SomeStepper
old = initial_condition
for checkpoint in CheckpointStepper(start=0.,
stops=[1e-3, 1, 1e3, 1e6]):
for step in SomeStepper(start=checkpoint.begin,
stop=checkpoint.end,
size=checkpoint.size):
new = do_something_else(step.begin, step.end, step.size)
err = (new - old) / scale
if step.succeeded(error=err):
old = new
# do happy things
else:
# do sad things
save_or_plot()
_ = checkpoint.succeeded()
Steppyngstounes requires numpy, scipy, and pytest. Tests can be run with
pytest
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