def get_multiple_streams(sub_sample=2,
include_strs=None,
n_reps=100) -> List[List[float]]:
""" """
if include_strs is None:
include_strs = [
'hospital', 'electricity', 'airport', 'volume', 'emoji',
'three_body', 'helicopter', 'noaa'
]
mr = MicroReader()
streams = mr.get_stream_names()
acceptable = [
s for s in streams
if any([incl in s for incl in include_strs]) and not '~' in s
]
ys = list()
for nm in acceptable:
try:
lagged_values, lagged_times = mr.get_lagged_values_and_times(
name=nm, count=2000)
y, t = list(reversed(lagged_values)), list(reversed(lagged_times))
if 'hospital' in nm:
y_sub = y[::sub_sample]
else:
y_sub = y
# Create new stream where
if len(y_sub) >= 750:
for _ in range(n_reps):
rho = np.random.rand() * 0.075 + 0.025
y_scaled = deform(y_sub, rho=rho)
ys.append(y_scaled)
else:
print(nm + ' too short')
except:
print(nm + ' exception')
print(len(ys))
return ys
def test_troublesome_devapi():
mr = MicroReader(base_url='https://devapi.microprediction.org')
pdf = mr.get_discrete_pdf_lagged(name='die.json', delay=mr.DELAYS[1])
def test_get_cdf_cop():
for base_url in BASE_URLS:
mr = MicroReader(base_url=base_url)
res = mr.get_cdf_lagged(name='die.json', delay=mr.DELAYS[0], num=15)
if not len(res['x']) > 3:
assert False
def test_die_cdf():
for base_url in BASE_URLS:
mr = MicroReader(base_url=base_url)
pdf = mr.get_discrete_pdf_lagged(name='die.json', delay=mr.DELAYS[0])
def test_troublesome():
mr = MicroReader()
pdf = mr.get_discrete_pdf_lagged(name='die.json', delay=mr.DELAYS[0])
def test_get_cdf():
mr = MicroReader()
y, x = mr.get_cdf(name='cop.json')