Esempio n. 1
0
 def test_totdev_ci(self):
     s32rows = testutils.read_stable32(resultfile='totdev_decade.txt',
                                       datarate=1.0)
     for row in s32rows:
         data = testutils.read_datafile(data_file)
         (taus, devs, errs, ns) = allan.totdev(data,
                                               rate=rate,
                                               taus=[row['tau']])
         edf = allan.edf_totdev(N=len(data), m=row['m'], alpha=row['alpha'])
         #,d=3,m=row['m'],N=len(data),overlapping=True, modified = False, verbose=True)
         (lo, hi) = allan.confidence_intervals(devs[0],
                                               ci=0.68268949213708585,
                                               edf=edf)
         print("n check: ", testutils.check_equal(ns[0], row['n']))
         print("dev check: ",
               testutils.check_approx_equal(devs[0], row['dev']))
         print(
             "min dev check: ", lo, row['dev_min'],
             testutils.check_approx_equal(lo,
                                          row['dev_min'],
                                          tolerance=1e-3))
         print(
             "max dev check: ", hi, row['dev_max'],
             testutils.check_approx_equal(hi,
                                          row['dev_max'],
                                          tolerance=1e-3))
Esempio n. 2
0
    def test_totdev_ci(self):
        print("totdev()")
        s32rows = testutils.read_stable32(resultfile='totdev_octave.txt',
                                          datarate=1.0)
        for row in s32rows:
            data = testutils.read_datafile(data_file)
            data = allan.frequency2fractional(data, mean_frequency=1.0e7)
            (taus, devs, errs, ns) = allan.totdev(data,
                                                  rate=rate,
                                                  data_type="freq",
                                                  taus=[row['tau']])
            edf = allan.edf_totdev(N=len(data), m=row['m'], alpha=row['alpha'])

            (lo, hi) = allan.confidence_interval(devs[0], edf=edf)
            print("n check: ", testutils.check_equal(ns[0], row['n']))
            print(
                "dev check: ",
                testutils.check_approx_equal(devs[0],
                                             row['dev'],
                                             tolerance=2e-3))
            print("min dev check: %.4g %.4g %d" %
                  (lo, row['dev_min'],
                   testutils.check_approx_equal(
                       lo, row['dev_min'], tolerance=2e-3)))
            print("max dev check: %.4g %.4g %d" %
                  (hi, row['dev_max'],
                   testutils.check_approx_equal(
                       hi, row['dev_max'], tolerance=2e-3)))
Esempio n. 3
0
    def test_phasedat_totdev(self):
        (s32_taus, s32_devs, s32_devs_lo, s32_devs_hi,
         s32_ns) = read_stable32('phase_dat_totdev_octave.txt', 1.0)
        phase = read_datafile('PHASE.DAT')
        (taus, devs, errs, ns) = allan.totdev(phase, taus=s32_taus)

        los = []
        his = []
        for (d, t, n) in zip(devs, taus, ns):
            #edf = greenhall_simple_edf( alpha=0, d=3, m=t, S=1, F=t, N=len(phase) )
            #edf2 = greenhall_edf( alpha=0, d=3, m=int(t), N=len(phase), overlapping = True, modified=False  )
            #print(edf,edf2,edf2/edf)
            edf = allan.edf_totdev(len(phase), t, alpha=0)
            (lo,
             hi) = allan.confidence_intervals(dev=d,
                                              ci=0.68268949213708585,
                                              edf=edf)  # 0.68268949213708585
            #allan.uncertainty_estimate(len(phase), t, d,ci=0.683,noisetype='wf')
            los.append(lo)
            his.append(hi)

        for (t1, d1, lo1, hi1, n1, t2, d2, lo2, hi2,
             n2) in zip(s32_taus, s32_devs, s32_devs_lo, s32_devs_hi, s32_ns,
                        taus, devs, los, his, ns):
            print("s32 %03d %03f %1.6f %1.6f %1.6f" % (n1, t1, lo1, d1, hi1))
            print("at  %03d %03f %1.6f %1.6f %1.6f" %
                  (n2, t2, round(lo2, 7), round(d2, 7), round(hi2, 7)))
            approx_equal(lo1, lo2, tolerance=1e-3)
            approx_equal(hi1, hi2, tolerance=1e-3)
            print("----")
Esempio n. 4
0
    def test_phasedat_totdev(self):
        s32_rows = testutils.read_stable32('phase_dat_totdev_octave.txt', 1.0)
        phase = testutils.read_datafile('PHASE.DAT')
        (taus, devs, errs,
         ns) = allan.totdev(phase, taus=[s32['tau'] for s32 in s32_rows])

        los = []
        his = []
        for (d, t, n) in zip(devs, taus, ns):
            #edf = greenhall_simple_edf( alpha=0, d=3, m=t, S=1, F=t, N=len(phase) )
            #edf2 = greenhall_edf( alpha=0, d=3, m=int(t), N=len(phase), overlapping = True, modified=False  )
            #print(edf,edf2,edf2/edf)
            edf = allan.edf_totdev(len(phase), t, alpha=0)
            (lo, hi) = allan.confidence_interval(dev=d, edf=edf)
            #allan.uncertainty_estimate(len(phase), t, d,ci=0.683,noisetype='wf')
            los.append(lo)
            his.append(hi)
        print("totdev()")
        for (s32, t2, d2, lo2, hi2, n2) in zip(s32_rows, taus, devs, los, his,
                                               ns):
            print("s32 %03d %03f %1.6f %1.6f %1.6f" %
                  (s32['n'], s32['tau'], s32['dev_min'], s32['dev'],
                   s32['dev_max']))
            print("at  %03d %03f %1.6f %1.6f %1.6f" %
                  (n2, t2, round(lo2, 5), round(d2, 5), round(hi2, 5)))
            testutils.check_approx_equal(s32['dev_min'], lo2, tolerance=1e-3)
            testutils.check_approx_equal(s32['dev_max'], hi2, tolerance=1e-3)
        print("----")
Esempio n. 5
0
 def test_totdev_ci(self):
     s32rows = testutils.read_stable32(resultfile='totdev_decade.txt', datarate=1.0)
     for row in s32rows:
         data = testutils.read_datafile(data_file)
         (taus, devs, errs, ns) = allan.totdev(data, rate=rate,
                                               taus=[ row['tau'] ])
         edf = allan.edf_totdev(N=len(data),m=row['m'], alpha=row['alpha'])
         #,d=3,m=row['m'],N=len(data),overlapping=True, modified = False, verbose=True)
         (lo,hi) = allan.confidence_intervals(devs[0],ci=0.68268949213708585, edf=edf)
         print("n check: ", testutils.check_equal( ns[0], row['n'] ) )
         print("dev check: ", testutils.check_approx_equal( devs[0], row['dev'] ) )
         print("min dev check: ",  lo, row['dev_min'], testutils.check_approx_equal( lo, row['dev_min'], tolerance=1e-3 ) )
         print("max dev check: ", hi, row['dev_max'], testutils.check_approx_equal( hi, row['dev_max'], tolerance=1e-3 ) )
Esempio n. 6
0
    def test_totdev_ci(self):
        print("totdev()")
        s32rows = testutils.read_stable32(resultfile='totdev_octave.txt', datarate=1.0)
        for row in s32rows:
            data = testutils.read_datafile(data_file)
            data = allan.frequency2fractional(data, mean_frequency=1.0e7)
            (taus, devs, errs, ns) = allan.totdev(data, rate=rate, data_type="freq",
                                                  taus=[ row['tau'] ])
            edf = allan.edf_totdev(N=len(data),m=row['m'], alpha=row['alpha'])

            (lo,hi) = allan.confidence_interval(devs[0], edf=edf)
            print("n check: ", testutils.check_equal( ns[0], row['n'] ) )
            print("dev check: ", testutils.check_approx_equal( devs[0], row['dev'], tolerance=2e-3 ) )
            print("min dev check: %.4g %.4g %d" %( lo, row['dev_min'], testutils.check_approx_equal( lo, row['dev_min'], tolerance=2e-3 ) ) )
            print("max dev check: %.4g %.4g %d" %( hi, row['dev_max'], testutils.check_approx_equal( hi, row['dev_max'], tolerance=2e-3 ) ) )
Esempio n. 7
0
    def test_phasedat_totdev(self):
        s32_rows = testutils.read_stable32( 'phase_dat_totdev_octave.txt' , 1.0 )
        phase = testutils.read_datafile('PHASE.DAT')
        (taus,devs,errs,ns) = allan.totdev(phase, taus=[s32['tau'] for s32 in s32_rows])

        los=[]
        his=[]
        for (d,t, n) in zip(devs, taus, ns):
            #edf = greenhall_simple_edf( alpha=0, d=3, m=t, S=1, F=t, N=len(phase) )
            #edf2 = greenhall_edf( alpha=0, d=3, m=int(t), N=len(phase), overlapping = True, modified=False  )
            #print(edf,edf2,edf2/edf)
            edf = allan.edf_totdev(len(phase), t, alpha=0)
            (lo,hi) = allan.confidence_interval( dev=d,  edf=edf )
            #allan.uncertainty_estimate(len(phase), t, d,ci=0.683,noisetype='wf')
            los.append(lo)
            his.append(hi)
        print("totdev()")
        for (s32, t2, d2, lo2, hi2, n2) in zip(s32_rows, taus, devs, los, his, ns):
            print("s32 %03d %03f %1.6f %1.6f %1.6f" % (s32['n'], s32['tau'], s32['dev_min'], s32['dev'], s32['dev_max']))
            print("at  %03d %03f %1.6f %1.6f %1.6f" % (n2, t2, round(lo2,5), round(d2,5), round(hi2,5) ))
            testutils.check_approx_equal(s32['dev_min'], lo2, tolerance=1e-3)
            testutils.check_approx_equal(s32['dev_max'], hi2, tolerance=1e-3)
        print("----")