def timeseries(client, dataset):
# create
ts = TimeSeries('Human EEG')
assert not ts.exists
dataset.add(ts)
assert ts.exists
assert ts in dataset
assert ts.type == 'TimeSeries'
assert ts.name == 'Human EEG'
ts2 = client.get(ts.id)
assert ts2.id == ts.id
assert ts2.name == ts.name
assert ts2.type == 'TimeSeries'
del ts2
# provide to other tests
yield ts
# update ts: change name
ts.name = 'Monkey EEG'
ts.update()
ts2 = client.get(ts.id)
assert ts2.id == ts.id
assert ts2.name == ts.name
assert ts2.type == 'TimeSeries'
# streaming credentials
cred = ts.streaming_credentials()
assert cred
# remove
dataset.remove(ts)
assert not ts.exists
assert ts not in dataset
def timeseries(client, dataset):
# create
ts = TimeSeries('Human EEG')
assert not ts.exists
dataset.add(ts)
assert ts.exists
assert ts in dataset
assert ts.type == 'TimeSeries'
assert ts.name.startswith(
'Human EEG') #starts with bc duplicate names are appended
ts2 = client.get(ts.id)
assert ts2.id == ts.id
assert ts2.name == ts.name
assert ts2.type == 'TimeSeries'
del ts2
# provide to other tests
yield ts
# streaming credentials
cred = ts.streaming_credentials()
assert cred
# remove
dataset.remove(ts)
assert not ts.exists
assert ts not in dataset