def mc_test():
import os
import numpy as np
from pyemu import MonteCarlo, Cov
jco = os.path.join("pst","pest.jcb")
pst = jco.replace(".jcb",".pst")
out_dir = os.path.join("mc")
if not os.path.exists(out_dir):
os.mkdir(out_dir)
#write testing
mc = MonteCarlo(jco=jco,verbose=True,sigma_range=6)
cov = Cov.from_parameter_data(mc.pst,sigma_range=6)
assert np.abs((mc.parcov.x - cov.x).sum()) == 0.0
mc.draw(10,obs=True)
mc.write_psts(os.path.join("temp","real_"))
mc.parensemble.to_parfiles(os.path.join("mc","real_"))
mc = MonteCarlo(jco=jco,verbose=True)
mc.draw(10,obs=True)
print("prior ensemble variance:",
np.var(mc.parensemble.loc[:,"mult1"]))
projected_en = mc.project_parensemble(inplace=False)
print("projected ensemble variance:",
np.var(projected_en.loc[:,"mult1"]))
import pyemu
sc = pyemu.Schur(jco=jco)
mc = MonteCarlo(pst=pst,parcov=sc.posterior_parameter,verbose=True)
mc.draw(10)
print("posterior ensemble variance:",
np.var(mc.parensemble.loc[:,"mult1"]))
def write_regul_test():
import os
import numpy as np
from pyemu import MonteCarlo
mc = MonteCarlo(jco=os.path.join("verf_results","freyberg_ord.jco"))
mc.pst.control_data.pestmode = "regularization"
mc.draw(10)
mc.write_psts(os.path.join("temp","freyberg_real"),existing_jco="freyberg_ord.jco")
