def test_assert_longer_report_takes_more_time_than_shorter_report():
model = MockModel()
report = InferenceReport(model.infer_callable, 1, n_seconds=1)
report1 = InferenceReport(model.infer_callable, 1, n_seconds=2)
results = report.run(print_report=False)
results1 = report1.run(print_report=False)
assert results1["Took"] > results["Took"]
def test_init_model_name_given():
model = MockModel()
name = "my_test_model"
report = InferenceReport(model.infer_callable,
1,
n_iterations=1,
model_name=name)
assert report.model_name == name
def test_inference_report_run_iterations():
model = MockModel()
report = InferenceReport(model.infer_callable, 1, n_iterations=30)
results = report.run(print_report=False)
assert isinstance(results, dict)
for expected in EXPECTED_METRICS:
assert expected in results.keys()
def test_two_intervals_given_defaults_to_seconds():
model = MockModel()
report = InferenceReport(model.infer_callable,
1,
n_iterations=10,
n_seconds=1)
assert report.n_iterations == None
assert report.n_seconds == 1
def test_init_seconds():
model = MockModel()
report = InferenceReport(
model.infer_callable,
1,
n_seconds=10,
)
assert report.n_iterations == None
assert report.n_seconds == 10
def test_plot_savefig(plt, plt1):
model = MockModel()
report = InferenceReport(model.infer_callable,
1,
n_iterations=1,
drop_stats=[])
results = report.run(print_report=False)
report.plot(show=True, save_location="test.jpg")
def test_plot_show(plt):
model = MockModel()
report = InferenceReport(model.infer_callable,
1,
n_iterations=1,
drop_stats=[])
results = report.run(print_report=False)
report.plot(show=True)
def test_plot_report_not_run_raises_value_error():
model = MockModel()
report = InferenceReport(model.infer_callable,
1,
n_iterations=1,
drop_stats=[])
with pytest.raises(ValueError):
report.plot(show=False)
def test_report_drop_stats_empty():
model = MockModel()
report = InferenceReport(model.infer_callable,
1,
n_iterations=1,
drop_stats=[])
results = report.run(print_report=False)
report.report(results)
assert list(results.keys()) == EXPECTED_METRICS
def test_report_drop_stats_removes_key_from_dict():
model = MockModel(delay=0.48)
report = InferenceReport(model.infer_callable,
1,
n_iterations=1,
drop_stats=["Took"])
results = report.run(print_report=False)
report.report(results)
assert "Took" not in results.keys()
def test_plot_matplotlib_not_installed():
model = MockModel()
report = InferenceReport(model.infer_callable,
1,
n_iterations=1,
drop_stats=[])
results = report.run(print_report=False)
with patch.dict(sys.modules, {"matplotlib": None}):
with pytest.raises(MatplotlibNotInstalledError):
report.plot()
def test_run_iterations_failure_point_does_not_trigger_failure():
model = MockModel(delay=0.48)
report = InferenceReport(model.infer_callable,
1,
n_iterations=1,
infer_failure_point=0.50)
results = report.run(print_report=False)
assert results["Fail"] == 0
assert results["Success"] == 1
assert report.n_iterations == 1
import time
from pyinfer import InferenceReport
class DummyModel:
def infer(self, input):
time.sleep(0.1)
return input * pow(input, 2)
dummy = DummyModel()
report = InferenceReport(
model=dummy.infer,
inputs=7,
n_iterations=2,
infer_failure_point=2,
)
report.run()
def test_init_no_interval_given():
model = MockModel()
with pytest.raises(MeasurementIntervalNotSetError):
report = InferenceReport(model.infer_callable, 1)
def test_init_model_not_callable():
model = MockModel()
with pytest.raises(ModelIsNotCallableError):
report = InferenceReport(model, 1, n_iterations=1)
def test_run_print_report_param_true(ir):
model = MockModel(delay=0.48)
report = InferenceReport(model.infer_callable, 1, n_iterations=1)
results = report.run()