def sample_ts_files(size, labels=[None]):
temp_dir = tempfile.mkdtemp()
paths = []
for label in islice(cycle(labels), size):
t, m, e = sample_values()
name = str(uuid.uuid4())
path = pjoin(temp_dir, '{}.npz'.format(name))
ts = TimeSeries(t, m, e, label=label, path=path, name=name)
ts.save(path)
paths.append(path)
yield paths
shutil.rmtree(temp_dir)
def sample_ts_files(size, labels=[None]):
temp_dir = tempfile.mkdtemp()
paths = []
for label in islice(cycle(labels), size):
t, m, e = sample_values()
name = str(uuid.uuid4())
path = pjoin(temp_dir, '{}.npz'.format(name))
ts = TimeSeries(t, m, e, label=label, path=path, name=name)
ts.save(path)
paths.append(path)
yield paths
shutil.rmtree(temp_dir)
def test_time_series_npz():
n_channels = 3
t, m, e = sample_time_series(channels=n_channels)
ts = TimeSeries(t[0], m[0], e[0])
ts.save(TEST_TS_PATH)
ts_loaded = time_series.load(TEST_TS_PATH)
assert_ts_equal(ts, ts_loaded)
ts = TimeSeries(t[0], m, e[0])
ts.save(TEST_TS_PATH)
ts_loaded = time_series.load(TEST_TS_PATH)
assert_ts_equal(ts, ts_loaded)
t = [t[i][0:i+2] for i in range(len(t))]
m = [m[i][0:i+2] for i in range(len(m))]
e = [e[i][0:i+2] for i in range(len(e))]
ts = TimeSeries(t, m, e)
ts.save(TEST_TS_PATH)
ts_loaded = time_series.load(TEST_TS_PATH)
assert_ts_equal(ts, ts_loaded)
def test_time_series_npz(tmpdir):
n_channels = 3
t, m, e = sample_time_series(channels=n_channels)
ts = TimeSeries(t[0], m[0], e[0])
ts_path = os.path.join(str(tmpdir), str(uuid4()) + '.npz')
ts.save(ts_path)
ts_loaded = time_series.load(ts_path)
assert_ts_equal(ts, ts_loaded)
ts = TimeSeries(t[0], m, e[0])
ts_path = os.path.join(str(tmpdir), str(uuid4()) + '.npz')
ts.save(ts_path)
ts_loaded = time_series.load(ts_path)
assert_ts_equal(ts, ts_loaded)
t = [t[i][0:i + 2] for i in range(len(t))]
m = [m[i][0:i + 2] for i in range(len(m))]
e = [e[i][0:i + 2] for i in range(len(e))]
ts = TimeSeries(t, m, e)
ts_path = os.path.join(str(tmpdir), str(uuid4()) + '.npz')
ts.save(ts_path)
ts_loaded = time_series.load(ts_path)
assert_ts_equal(ts, ts_loaded)
def test_time_series_npz(tmpdir):
n_channels = 3
t, m, e = sample_time_series(channels=n_channels)
ts = TimeSeries(t[0], m[0], e[0])
ts_path = os.path.join(str(tmpdir), str(uuid4()) + '.npz')
ts.save(ts_path)
ts_loaded = time_series.load(ts_path)
assert_ts_equal(ts, ts_loaded)
ts = TimeSeries(t[0], m, e[0])
ts_path = os.path.join(str(tmpdir), str(uuid4()) + '.npz')
ts.save(ts_path)
ts_loaded = time_series.load(ts_path)
assert_ts_equal(ts, ts_loaded)
t = [t[i][0:i+2] for i in range(len(t))]
m = [m[i][0:i+2] for i in range(len(m))]
e = [e[i][0:i+2] for i in range(len(e))]
ts = TimeSeries(t, m, e)
ts_path = os.path.join(str(tmpdir), str(uuid4()) + '.npz')
ts.save(ts_path)
ts_loaded = time_series.load(ts_path)
assert_ts_equal(ts, ts_loaded)
