13.4.5. Macro “samplingBasicSampling.py”

13.4.5.1. Objective

The objective is to perform three basic samplings, the first with 10000 variables on 10 patterns using a SRS method, the second with 10000 variables on 10 patterns with a LHS method and the third with 10000 variables on 5000 patterns with a SRS method. Each sampling is related to a specific function, and these three functions are run in a fourth one.

13.4.5.2. Macro Uranie

"""
Example of simple DoE generations
"""
from URANIE import DataServer, Sampler
import ROOT

def test_big_sampling():
    """Produce a large sample."""
    tds = DataServer.TDataServer()
    print("    - Creating attributes...")
    for i in range(4000):
        tds.addAttribute(DataServer.TUniformDistribution("x_"+str(i), 0., 1.))
    sam = Sampler.TBasicSampling(tds, "srs", 5000)
    print("    - Starting sampling...")
    sam.generateSample()


def test_small_srs_sampling():
    """Produce a small srs sample."""
    tds = DataServer.TDataServer()
    print("    - Creating attributes...")
    for i in range(10000):
        tds.addAttribute(DataServer.TUniformDistribution("x_"+str(i), 0., 1.))
    sam = Sampler.TBasicSampling(tds, "srs", 10)
    print("    - Starting sampling...")
    sam.generateSample()


def test_small_lhs_sampling():
    """Produce a small lhs sample."""
    tds = DataServer.TDataServer()
    print("    - Creating attributes...")
    for i in range(10000):
        tds.addAttribute(DataServer.TUniformDistribution("x_"+str(i), 0., 1.))
    sam = Sampler.TBasicSampling(tds, "lhs", 10)
    print("    - Starting sampling...")
    sam.generateSample()


print("***************************************************")
print(" ** Test small SRS sampling (10000 attributes, 10 data)")
test_small_srs_sampling()
print("***************************************************")
ROOT.gROOT.ls()

print("***************************************************")
print(" ** Test small LHS sampling (10000 attributes, 10 data)")
test_small_lhs_sampling()
print("***************************************************")
ROOT.gROOT.ls()

print("***************************************************")
print(" ** Test big sampling (4000 attributes, 5000 data)")
test_big_sampling()
print("***************************************************")
ROOT.gROOT.ls()