smrt.runner package 

Runners are used to run simulations in parallel or sequentially. They are used by the Model.run method to run the simulations.

smrt.runner.sequential_runner module 

This module implements a sequential runner for smrt simulations. It is used by default if parallel_computation=False in py:func:~smrt.core.model.make_model function.

Examples:

# Basic usage:
m = make_model("iba", "dort", parallel_computation=False)
m.run(sensor, snowpack)

# Explicit usage to set runner's parameters:
runner = SequentialRunner(progressbar=True)
res = m.run(sensor, snowpack, runner=runner)

class SequentialRunner(progressbar, max_numerical_threads=1)

Bases: object

Run the simulations sequentially on a single (local) core. This is the most simple way to run smrt simulations, but the efficiency is poor.

smrt.runner.joblib_runner module 

This module implements a joblib runner tp execute smrt simulations in parallel. It is used by default if parallel_computation=True in py:func:~smrt.core.model.make_model function.

Example::

# Basic usage: m = make_model(“iba”, “dort”, parallel_computation=True) m.run(sensor, snowpack)

# Advance usage to set runner’s parameters: runner = JoblibParallelRunner(progressbar=True, n_jobs=-1) res = m.run(sensor, snowpack, runner=runner)

class JoblibParallelRunner(progressbar, backend='loky', n_jobs=None, max_numerical_threads=1)

Bases: object

Run the simulations on the local machine on all the cores, using the joblib library for parallelism.

smrt.runner package

smrt.runner.sequential_runner module

smrt.runner.joblib_runner module

smrt.runner.dask_runner module

smrt.runner package 

smrt.runner.sequential_runner module 

smrt.runner.joblib_runner module 

smrt.runner.dask_runner module 