pywafo/wafo/tests/test_objects.py

# -*- coding:utf-8 -*-
"""
Created on 5. aug. 2010

@author: pab
"""

import unittest
from numpy.testing import TestCase, assert_array_almost_equal
import wafo.data  # @UnusedImport
import numpy as np  # @UnusedImport
import wafo.objects as wo
import wafo.spectrum.models as sm
import wafo.transform.models as tm


class TestTimeSeries(TestCase):
    def setUp(self):
        x = wafo.data.sea()
        self.ts = wo.mat2timeseries(x)

    def test_timeseries(self):
        ts = self.ts
        assert_array_almost_equal(ts.sampling_period(), 0.25)

        S = ts.tospecdata()
        assert_array_almost_equal(S.data[:10],
                                  [0.00913087,  0.00881073,  0.00791944,
                                   0.00664244,  0.00522429, 0.00389816,
                                   0.00282753,  0.00207843,  0.00162678,
                                   0.0013916])

        rf = ts.tocovdata(lag=150)
        assert_array_almost_equal(rf.data[:10],
                                  [0.22368637,  0.20838473,  0.17110733,
                                   0.12237803,  0.07024054, 0.02064859,
                                   -0.02218831, -0.0555993, -0.07859847,
                                   -0.09166187])

    def test_timeseries_trdata(self):
        Hs = 7.0
        Sj = sm.Jonswap(Hm0=Hs)
        S = Sj.tospecdata()  # Make spectrum object from numerical values
        S.tr = tm.TrOchi(mean=0, skew=0.16, kurt=0, sigma=Hs/4, ysigma=Hs/4)
        xs = S.sim(ns=2**20, iseed=10)
        ts = wo.mat2timeseries(xs)
        g0, _gemp = ts.trdata(monitor=False)  # Not Monitor the development

        # Equal weight on all points
        g1, _gemp = ts.trdata(method='mnonlinear', gvar=0.5)

        # Less weight on the ends
        g2, _gemp = ts.trdata(method='nonlinear', gvar=[3.5, 0.5, 3.5])
        self.assert_(1.2 < S.tr.dist2gauss() < 1.6)
        self.assert_(1.65 < g0.dist2gauss() < 2.05)
        self.assert_(0.54 < g1.dist2gauss() < 0.95)
        self.assert_(1.5 < g2.dist2gauss() < 1.9)

    def test_timeseries_wave_periods(self):
        true_t = ([-0.69, -0.86, -1.05],
                  [0.42, 0.78, 1.37],
                  [0.09, 0.51, -0.85],
                  [-0.27, -0.08, 0.32],
                  [3.84377468, 6.35707656, 4.15490909],
                  [6.25273295, 6.10295202, 3.36978685],
                  [2.48364668, 4.74282402, 1.75553431],
                  [3.76908628, 1.360128, 1.61425254],
                  [-5.05027968, -9.16405436, -15.60113092],
                  [7.53392635, 13.90687837, 17.35666522],
                  [-0.2811934, -7.11392635, -13.12687837],
                  [4.05027968, 8.47405436, 14.74113092],
                  [2.03999996, 0.07, 0.05],
                  [-0.93, -0.07, -0.12],
                  [1.10999996, 0., -0.07],
                  [-0.86, -0.02, 0.3],
                  [0.93, -0.8, -0.2],
                  [1.10999996, 0., -0.07],
                  [-0.02, 0.3, -0.34],
                  [6.10295202, 3.36978685, 3.58501107],
                  [6.25273295, 6.10295202, 3.36978685],
                  )

        pdefs = ['t2c', 'c2t', 't2t', 'c2c',
                 'd2d', 'u2u', 'd2u', 'u2d',
                 'd2t', 't2u', 'u2c', 'c2d',
                 'm2M', 'M2m', 'm2m', 'M2M', 'all',
                 ]
        ts = wo.TimeSeries(self.ts.data[0:400, :2], self.ts.args[:400])
        for pdef, truth in zip(pdefs, true_t):
            T, _ix = ts.wave_periods(vh=0.0, pdef=pdef)
            # print(T[:3,])
            assert_array_almost_equal(T[:3], truth)

        true_t2 = ([1.10999996, 0., - 0.07],
                   [-0.02, 0.3, - 0.34],
                   [6.10295202, 3.369787,  3.585011],
                   [6.25273295,  6.102952,  3.369787],
                   [-0.27, -0.08, 0.32],
                   [-0.27, -0.08, 0.32])
        wdefs = ['mw', 'Mw', 'dw', 'uw', 'tw', 'cw', ]
        for wdef, truth in zip(wdefs, true_t2):
            pdef = '{0}2{0}'.format(wdef[0].lower())
            T, _ix = ts.wave_periods(vh=0.0, pdef=pdef, wdef=wdef)
            print(T[:3])
            assert_array_almost_equal(T[:3], truth)


class TestObjects(TestCase):
    def setUp(self):
        x = wafo.data.sea()
        self.ts = wo.mat2timeseries(x)

    def test_cycles_and_levelcrossings(self):
        tp = self.ts.turning_points()
        assert_array_almost_equal(tp.data[:10],
                                  [-1.200495,  0.839505, -0.090495, -0.020495,
                                   -0.090495, -0.040495, -0.160495,  0.259505,
                                   -0.430495, -0.080495]
                                  )

        mm = tp.cycle_pairs()
        assert_array_almost_equal(mm.data[:10],
                                  [0.839505, -0.020495, -0.040495,  0.259505,
                                   -0.080495, -0.080495, 0.349505,  0.859505,
                                   0.009505,  0.319505])
        true_lcs = (([0., 1., 2., 2., 3., 4., 5., 6., 7., 9.],
                    [-1.7504945, -1.4404945, -1.4204945, -1.4004945,
                     -1.3704945, -1.3204945, -1.2704945, -1.2604945,
                     -1.2504945, -1.2004945]),
                    ([0., 1., 2., 3., 3., 4., 5., 6., 7., 9.],
                    [-1.7504945, -1.4404945, -1.4204945, -1.4004945,
                     -1.3704945, -1.3204945, -1.2704945, -1.2604945,
                     -1.2504945, -1.2004945]),
                    ([1.,  2.,  3.,  4.,  4.,  5.,  6.,  7.,  9., 11.],
                    [-1.7504945, -1.4404945, -1.4204945, -1.4004945,
                     -1.3704945, -1.3204945, -1.2704945, -1.2604945,
                     -1.2504945, -1.2004945]),
                    ([1.,  2.,  3.,  3.,  4.,  5.,  6.,  7.,  9., 11.],
                    [-1.7504945, -1.4404945, -1.4204945, -1.4004945,
                     -1.3704945, -1.3204945, -1.2704945, -1.2604945,
                     -1.2504945, -1.2004945]))
        for i, true_lc in enumerate(true_lcs):
            true_count, true_levels = true_lc
            lc = mm.level_crossings(kind=i+1)
            assert_array_almost_equal(lc.data[:10], true_count)
            assert_array_almost_equal(lc.args[:10], true_levels)

    def test_levelcrossings_extrapolate(self):
        tp = self.ts.turning_points()
        mm = tp.cycle_pairs()
        lc = mm.level_crossings()

        s = lc.sigma  # x[:, 1].std()
        ix = slice(0, 1000, 100)
        lc_ray = lc.extrapolate(-2 * s, 2 * s, dist='rayleigh')

        assert_array_almost_equal(lc_ray.data[ix],
                                  [1.78925398e-37,   9.61028192e-23,
                                   2.05282628e-11,   1.74389448e-03,
                                   5.89169345e+01,   5.240000e+02,
                                   6.72609651e+01,   4.46086175e-01,
                                   2.23463577e-04,   8.45526153e-09])
        lc_exp = lc.extrapolate(-2 * s, 2 * s, dist='expon')

        lc_gpd = lc.extrapolate(-2 * s, 2 * s, dist='genpareto')

        assert_array_almost_equal(lc_exp.data[ix],
                                  [6.51864195e-12, 1.13025876e-08,
                                   1.95974080e-05, 3.39796881e-02,
                                   5.89169345e+01, 5.24000000e+02,
                                   6.43476951e+01, 1.13478843e+00,
                                   2.00122906e-02, 3.52921977e-04])
        assert_array_almost_equal(lc_gpd.data[ix],
                                  [0.00000000e+00, 0.00000000e+00,
                                   0.00000000e+00, 0.00000000e+00,
                                   5.89169345e+01, 5.24000000e+02,
                                   6.80484770e+01, 1.41019390e-01,
                                   0.00000000e+00, 0.00000000e+00])


if __name__ == "__main__":
    # import sys;sys.argv = ['', 'Test.testName']
    unittest.main()