def test_analysis_from_config(self):
"""Test analysis config dataclass"""
analysis = FakeAnalysis(arg1=10, arg2=20)
analysis.set_options(option1=False, option2=True)
config = analysis.config()
loaded = FakeAnalysis.from_config(config)
self.assertEqual(config, loaded.config())
def test_analysis_config(self):
"""Test analysis config dataclass"""
analysis = FakeAnalysis(arg1=10, arg2=20)
analysis.set_options(option1=False, option2=True)
config = analysis.config()
loaded = config.analysis()
self.assertEqual(analysis.config(), loaded.config())
self.assertEqual(analysis.options, loaded.options)
def test_analysis_runtime_opts(self):
"""Test runtime options don't modify instance"""
opts = {"opt1": False, "opt2": False}
run_opts = {"opt1": True, "opt2": True, "opt3": True}
analysis = FakeAnalysis()
analysis.set_options(**opts)
analysis.run(ExperimentData(), **run_opts)
self.assertEqual(analysis.options.__dict__, opts)
def test_analysis_from_dict_config(self):
"""Test analysis config dataclass for dict type."""
analysis = FakeAnalysis(arg1=10, arg2=20)
analysis.set_options(option1=False, option2=True)
config = analysis.config()
loaded = FakeAnalysis.from_config({
"kwargs": config.kwargs,
"options": config.options
})
self.assertEqual(config, loaded.config())
def test_analysis_runtime_opts(self):
"""Test runtime options don't modify instance"""
opts = {"opt1": False, "opt2": False}
run_opts = {"opt1": True, "opt2": True, "opt3": True}
analysis = FakeAnalysis()
analysis.set_options(**opts)
analysis.run(ExperimentData(), **run_opts)
# add also the default 'figure_names' option
target_opts = opts.copy()
target_opts["figure_names"] = None
self.assertEqual(analysis.options.__dict__, target_opts)