def setUpClass(cls) -> None:
cls.experiment = read_text_file("data/text/one_parameter_1.txt")
ModelGenerator(cls.experiment).model_all()
schema = ExperimentSchema()
# print(json.dumps(schema.dump(cls.experiment), indent=1))
exp_str = schema.dumps(cls.experiment)
cls.reconstructed: Experiment = schema.loads(exp_str)
def write_experiment(experiment, path, progress_bar=DUMMY_PROGRESS):
progress_bar.total += 3
schema = ExperimentSchema()
try:
with ZipFile(path,
'w',
compression=zipfile.ZIP_DEFLATED,
compresslevel=1,
allowZip64=True) as file:
progress_bar.update()
try:
data = schema.dumps(experiment)
progress_bar.update()
file.writestr(EXPERIMENT_DATA_FILE, data)
progress_bar.update()
except ValidationError as v_err:
raise FileFormatError(str(v_err)) from v_err
except (IOError, FileNotFoundError, zipfile.BadZipFile) as err:
raise RecoverableError(str(err)) from err
def setUpClass(cls) -> None:
cls.experiment = read_text_file("data/text/two_parameter_3.txt")
schema = ExperimentSchema()
# print(json.dumps(schema.dump(cls.experiment), indent=1))
exp_str = schema.dumps(cls.experiment)
cls.reconstructed: Experiment = schema.loads(exp_str)