"""
This file implements unit tests apprixomate distributions.
"""

# Bring in modules we need
import HARK.utilities as util
import unittest
import numpy as np

class testsForDCEGM(unittest.TestCase):
    def setUp(self):
        # setup the parameters to loop over
        self.muNormals = np.linspace(-3.0, 2.0, 50)
        self.stdNormals = np.linspace(0.01, 2.0, 50)

    def test_mu_normal(self):
        for muNormal in self.muNormals:
            for stdNormal in self.stdNormals:
                w, x = util.approxNormal(40, muNormal)
                self.assertTrue(sum(w*x)-muNormal<1e-12)

    def test_mu_lognormal_from_normal(self):
        for muNormal in self.muNormals:
            for stdNormal in self.stdNormals:
                w, x = util.approxLognormalGaussHermite(40, muNormal, stdNormal)
                self.assertTrue(abs(sum(w*x)-util.calcLognormalStyleParsFromNormalPars(muNormal, stdNormal)[0])<1e-12)

"""
This file implements unit tests approximate distributions.
"""

# Bring in modules we need
import HARK.utilities as util
import unittest
import numpy as np

class testsForDCEGM(unittest.TestCase):
    def setUp(self):
        # setup the parameters to loop over
        self.muNormals = np.linspace(-3.0, 2.0, 50)
        self.stdNormals = np.linspace(0.01, 2.0, 50)

    def test_mu_normal(self):
        for muNormal in self.muNormals:
            for stdNormal in self.stdNormals:
                w, x = util.approxNormal(40, muNormal)
                self.assertTrue(sum(w*x)-muNormal<1e-12)

    def test_mu_lognormal_from_normal(self):
        for muNormal in self.muNormals:
            for stdNormal in self.stdNormals:
                w, x = util.approxLognormalGaussHermite(40, muNormal, stdNormal)
                self.assertTrue(abs(sum(w*x)-util.calcLognormalStyleParsFromNormalPars(muNormal, stdNormal)[0])<1e-12)

Update test_approxDstns.py