def test_stats_counters_3():
logger = getLogger("tests_stats_counters_3")
data = [(random.uniform(-1, 1), random.uniform(0, 2))
for i in range(10000)]
counters = []
for i in range(1000):
random.shuffle(data)
c = WSE()
for v, w in data:
c.add(v, w)
counters.append(c)
c_mu = SE.count((c.mu() for c in counters))
c_mu2 = SE.count((c.mu2() for c in counters))
rms_mu = c_mu.rms()
rms_mu2 = c_mu2.rms()
if threshold <= rms_mu: logger.error("RMS for ``mu'' : %.3g" % rms_mu)
else: logger.info("RMS for ``mu'' : %.3g" % rms_mu)
if threshold <= rms_mu2: logger.error("RMS for ``mu2'' : %.3g" % rms_mu2)
else: logger.info("RMS for ``mu2'' : %.3g" % rms_mu2)
def test_stats_counters_4():
logger = getLogger("tests_stats_counters_4")
data = [(random.uniform(-1, 1), random.uniform(0, 2))
for i in range(10000)]
L = len(data)
counters = []
for i in range(1000):
i1 = random.randrange(L)
i2 = random.randrange(i1, L)
i3 = random.randrange(i2, L)
i4 = random.randrange(i3, L)
c1 = WSE()
c2 = WSE()
c3 = WSE()
c4 = WSE()
c5 = WSE()
for v, w in data[:i1]:
c1.add(v, w)
for v, w in data[i1:i2]:
c2.add(v, w)
for v, w in data[i2:i3]:
c3.add(v, w)
for v, w in data[i3:i4]:
c4.add(v, w)
for v, w in data[i4:]:
c5.add(v, w)
c = c1 + c2 + c3 + c4 + c5
counters.append(c)
c_mu = SE.count((c.mu() for c in counters))
c_mu2 = SE.count((c.mu2() for c in counters))
rms_mu = c_mu.rms()
rms_mu2 = c_mu2.rms()
if threshold <= rms_mu: logger.error("RMS for ``mu'' : %.3g" % rms_mu)
else: logger.info("RMS for ``mu'' : %.3g" % rms_mu)
if threshold <= rms_mu2: logger.error("RMS for ``mu2'' : %.3g" % rms_mu2)
else: logger.info("RMS for ``mu2'' : %.3g" % rms_mu2)
def test_stats_counters_2():
logger = getLogger("tests_stats_counters_2")
data = [random.uniform(-1, 1) for i in range(20000)]
L = len(data)
counters = []
for i in range(1000):
i1 = random.randrange(L)
i2 = random.randrange(i1, L)
i3 = random.randrange(i2, L)
i4 = random.randrange(i3, L)
c = SE.count ( data[ :i1] ) + \
SE.count ( data[i1:i2] ) + \
SE.count ( data[i2:i3] ) + \
SE.count ( data[i3:i4] ) + \
SE.count ( data[i4: ] )
counters.append(c)
## mu values
c_mu = SE.count((c.mu() for c in counters))
c_mu2 = SE.count((c.mu2() for c in counters))
rms_mu = c_mu.rms()
rms_mu2 = c_mu2.rms()
if threshold <= rms_mu: logger.error("RMS for ``mu'' : %.3g" % rms_mu)
else: logger.info("RMS for ``mu'' : %.3g" % rms_mu)
if threshold <= rms_mu2: logger.error("RMS for ``mu2'' : %.3g" % rms_mu2)
else: logger.info("RMS for ``mu2'' : %.3g" % rms_mu2)
def test_stats_counters_1():
logger = getLogger("tests_stats_counters_1")
data = [random.uniform(-1, 1) for i in range(10000)]
counters = []
for i in range(1000):
random.shuffle(data)
c = SE.count(data)
counters.append(c)
## mu values
c_mu = SE.count((c.mu() for c in counters))
c_mu2 = SE.count((c.mu2() for c in counters))
rms_mu = c_mu.rms()
rms_mu2 = c_mu2.rms()
if threshold <= rms_mu: logger.error("RMS for ``mu'' : %.3g" % rms_mu)
else: logger.info("RMS for ``mu'' : %.3g" % rms_mu)
if threshold <= rms_mu2: logger.error("RMS for ``mu2'' : %.3g" % rms_mu2)
else: logger.info("RMS for ``mu2'' : %.3g" % rms_mu2)