def test_oadev_ci(self):
s32rows = testutils.read_stable32(resultfile='oadev_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.oadev(data,
rate=rate,
data_type="freq",
taus=[row['tau']])
# NOTE! Here we use alhpa from Stable32-results for the allantools edf computation!
edf = allan.edf_greenhall(alpha=row['alpha'],
d=2,
m=row['m'],
N=len(data),
overlapping=True,
modified=False,
verbose=True)
(lo, hi) = allan.confidence_interval(devs[0], edf=edf)
print("n check: ", testutils.check_equal(ns[0], row['n']))
print(
"dev check: ", devs[0], row['dev'],
testutils.check_approx_equal(devs[0],
row['dev'],
tolerance=2e-3))
print(
"min dev check: ", lo, row['dev_min'],
testutils.check_approx_equal(lo,
row['dev_min'],
tolerance=2e-3))
print(
"max dev check: ", hi, row['dev_max'],
testutils.check_approx_equal(hi,
row['dev_max'],
tolerance=2e-3))
def test_oadev_ci(self):
s32rows = testutils.read_stable32(resultfile='oadev_decade.txt',
datarate=1.0)
for row in s32rows:
data = testutils.read_datafile(data_file)
(taus, devs, errs, ns) = allan.oadev(data,
rate=rate,
taus=[row['tau']])
edf = allan.edf_greenhall(alpha=row['alpha'],
d=2,
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))
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)))
def test_mdev_ci(self):
s32rows = testutils.read_stable32(resultfile='mdev_decade.txt', datarate=1.0)
for row in s32rows:
data = testutils.read_datafile(data_file)
(taus, devs, errs, ns) = allan.mdev(data, rate=rate,
taus=[ row['tau'] ])
edf = allan.edf_greenhall(alpha=row['alpha'],d=2,m=row['m'],N=len(data),overlapping=True, modified = True, 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 ) )
def test_mdev_ci(self):
""" Overlapping ADEV with confidence intervals """
s32rows = testutils.read_stable32(resultfile='mdev_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.mdev(data, rate=rate, data_type="freq",
taus=[ row['tau'] ])
# NOTE! Here we use alhpa from Stable32-results for the allantools edf computation!
edf = allan.edf_greenhall(alpha=row['alpha'],d=2,m=row['m'],N=len(data),overlapping=True, modified = True, verbose=True)
(lo,hi) =allan.confidence_interval(devs[0], edf=edf)
print("n check: ", testutils.check_equal( ns[0], row['n'] ) )
print("dev check: ", devs[0], row['dev'], testutils.check_approx_equal( devs[0], row['dev'], tolerance=2e-3 ) )
print("min dev check: ", lo, row['dev_min'], testutils.check_approx_equal( lo, row['dev_min'], tolerance=2e-3 ) )
print("max dev check: ", hi, row['dev_max'], testutils.check_approx_equal( hi, row['dev_max'], tolerance=2e-3 ) )
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 ) ) )
def test_mdev_ci(self):
s32rows = testutils.read_stable32(resultfile="mdev_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.mdev(data, rate=rate, data_type="freq", taus=[row["tau"]])
edf = allan.edf_greenhall(
alpha=row["alpha"], d=2, m=row["m"], N=len(data), overlapping=True, modified=True, 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: ", devs[0], row["dev"], testutils.check_approx_equal(devs[0], row["dev"], tolerance=2e-3))
print(
"min dev check: ", lo, row["dev_min"], testutils.check_approx_equal(lo, row["dev_min"], tolerance=2e-3)
)
print(
"max dev check: ", hi, row["dev_max"], testutils.check_approx_equal(hi, row["dev_max"], tolerance=2e-3)
)
def test_adev_ci(self):
s32rows = testutils.read_stable32(resultfile='adev_decade.txt',
datarate=1.0)
edfs = []
err_lo = []
err_hi = []
err_dev = []
for row in s32rows:
data = testutils.read_datafile(data_file)
(taus, devs, errs, ns) = allan.adev(data,
rate=rate,
taus=[row['tau']])
# here allantools does not identify the noise type
# instead the noise type alpha from Stable 32 is used
edf = allan.edf_greenhall(alpha=row['alpha'],
d=2,
m=row['m'],
N=len(data),
overlapping=False,
modified=False,
verbose=True)
(lo, hi) = allan.confidence_interval(devs[0], 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))
# store relative errors for later printout
edfs.append(edf)
err_dev.append(row['dev'] / devs[0] - 1.0)
err_hi.append(row['dev_max'] / hi - 1.0)
err_lo.append(row['dev_min'] / lo - 1.0)
# print table with relative errors
for (e, lo, err, hi) in zip(edfs, err_lo, err_dev, err_hi):
print('%d %.6f %.6f %.6f' % (e, lo, err, hi))
