# === MODEL
from spux.models.randomwalk import Randomwalk
dt = 0.1
model = Randomwalk(dt=dt)
framework.assign(model)
# === INIT FRAMEWORK
model.attach(workers=None)
from spux.utils.seed import Seed
from spux.utils.sandbox import Sandbox
sandbox = Sandbox('sandbox-synthesize')
seed = Seed(4)
# setup SPUX framework
framework.setup(sandbox=sandbox, seed=seed, verbosity=1, outputdir='datasets')
# init SPUX framework
framework.init()
# === SYNTHESIS
from error import error
from inputset import inputset
from timeset import timeset
from spux.io.loader import load_dict
import numpy
connector = utils.select ('auto')
# === SAMPLER with attached executors
from script_executors import sampler
# === SAMPLING
# SANDBOX
# use fast tmpfs
from spux.utils.sandbox import Sandbox
sandbox = Sandbox (path = '/dev/shm/spux-sandbox')
# SEED
from spux.utils.seed import Seed
seed = Seed (8)
# init executor
sampler.executor.init (connector)
# setup sampler
sampler.setup (sandbox = sandbox, verbosity = 2, index = 0, seed = seed, lock = 50, informative = True)
# init sampler (use prior for generating starting values)
sampler.init ()
# generate samples from posterior distribution
sampler (12)
# exit executor
sampler.executor.exit ()
from hydro import Hydro
from precipitation import precipitation_coefficients
from initial import initial
model = Hydro (precipitation_coefficients, initial, dt=10, integrator='RKSSP', numbify=0)
framework.assign (model)
# === INIT FRAMEWORK
model.attach (workers = None)
from spux.utils.seed import Seed
from spux.utils.sandbox import Sandbox
sandbox = Sandbox ('sandbox-synthesize')
seed = Seed (1)
# setup SPUX framework
framework.setup (sandbox = sandbox, seed = seed, verbosity = 1, outputdir = 'datasets_synthetic')
# init SPUX framework
framework.init ()
# === SYNTHESIS
from exact import exact
# from error import error
error = None
parameters = exact ['parameters']
steps = 10000