def generate_DB_file_with_some_runs():
"""
Generate a .db-file with a handful of runs with some interdependent
parameters
"""
# This function will run often on CI and re-generate the .db-files
# That should ideally be a deterministic action
# (although this hopefully plays no role)
np.random.seed(0)
v2fixturepath = os.path.join(fixturepath, 'version2')
os.makedirs(v2fixturepath, exist_ok=True)
path = os.path.join(v2fixturepath, 'some_runs.db')
if os.path.exists(path):
os.remove(path)
from qcodes.dataset.sqlite_base import connect, new_experiment
from qcodes.dataset.measurements import Measurement
from qcodes.dataset.experiment_container import Experiment
from qcodes import Parameter
conn = connect(path)
exp = Experiment(path)
exp._new(name='experiment_1', sample_name='no_sample_1')
# Now make some parameters to use in measurements
params = []
for n in range(5):
params.append(
Parameter(f'p{n}',
label=f'Parameter {n}',
unit=f'unit {n}',
set_cmd=None,
get_cmd=None))
# Set up an experiment
meas = Measurement(exp)
meas.register_parameter(params[0])
meas.register_parameter(params[1])
meas.register_parameter(params[2], basis=(params[0], ))
meas.register_parameter(params[3], basis=(params[1], ))
meas.register_parameter(params[4], setpoints=(params[2], params[3]))
# Make a number of identical runs
for _ in range(10):
with meas.run() as datasaver:
for x in np.random.rand(10):
for y in np.random.rand(10):
z = np.random.rand()
datasaver.add_result((params[2], x), (params[3], y),
(params[4], z))
def generate_DB_file_with_empty_runs():
"""
Generate a DB file that holds empty runs and runs with no interdependencies
"""
v2fixturepath = os.path.join(fixturepath, 'version2')
os.makedirs(v2fixturepath, exist_ok=True)
path = os.path.join(v2fixturepath, 'empty_runs.db')
if os.path.exists(path):
os.remove(path)
from qcodes.dataset.sqlite_base import connect
from qcodes.dataset.measurements import Measurement
from qcodes.dataset.experiment_container import Experiment
from qcodes import Parameter
from qcodes.dataset.data_set import DataSet
conn = connect(path)
exp = Experiment(path)
exp._new(name='experiment_1', sample_name='no_sample_1')
# Now make some parameters to use in measurements
params = []
for n in range(5):
params.append(Parameter(f'p{n}', label=f'Parameter {n}',
unit=f'unit {n}', set_cmd=None, get_cmd=None))
# truly empty run, no layouts table, no nothing
dataset = DataSet(path, conn=conn)
dataset._new('empty_dataset', exp_id=exp.exp_id)
# empty run
meas = Measurement(exp)
with meas.run() as datasaver:
pass
# run with no interdeps
meas = Measurement(exp)
for param in params:
meas.register_parameter(param)
with meas.run() as datasaver:
pass
with meas.run() as datasaver:
for _ in range(10):
res = tuple((p, 0.0) for p in params)
datasaver.add_result(*res)
