Use in script with BlockingRunner: get log and/or feedback on progress

[bonh]

In a notebook, I can use live_info() to display the progress. Is something similar available if I run adaptive in a script?

[basnijholt]

@bonh, that is currently not available, however, I just opened #441 to add this.

Use like:

python live-info-example.py

import adaptive
import asyncio
import random

offset = random.uniform(-0.5, 0.5)


def peak(x, offset=offset, wait=True):
    from random import random
    from time import sleep

    a = 0.01
    if wait:
        # we pretend that this is a slow function
        sleep(random())

    return x + a**2 / (a**2 + (x - offset) ** 2)

learner = adaptive.Learner1D(peak, bounds=(-1, 1))
runner = adaptive.Runner(learner, loss_goal=0.01)


async def run(runner, fname: str):
    runner.live_info_terminal(overwrite_previous=True)
    await runner.task
    runner.learner.save(fname)


runner.ioloop.run_until_complete(run(runner, "learner.pkl"))

[basnijholt]

[bonh]

Sry, I got distracted. Thanks for the suggestion! I hope to try it soon.

[bonh]

perfect, thanks!