def test_load_smoke(gendf):
df = gendf()
engine = Engine(df, n_models=5, use_mp=False)
engine.init_models()
with tempfile.NamedTemporaryFile('wb') as tf:
engine.save(tf.name)
Engine.load(tf.name)
def test_load_smoke(gendf):
df = gendf()
engine = Engine(df, n_models=5, use_mp=False)
engine.init_models()
with tempfile.NamedTemporaryFile('wb') as tf:
engine.save(tf.name)
Engine.load(tf.name)
def test_save_and_load_equivalence(gendf):
df = gendf()
engine = Engine(df, n_models=5, use_mp=False)
engine.init_models()
with tempfile.NamedTemporaryFile('wb') as tf:
engine.save(tf.name)
new_engine = Engine.load(tf.name)
assert engine._models == new_engine._models
assert engine._dtypes == new_engine._dtypes
assert engine._metadata == new_engine._metadata
assert engine._converters == new_engine._converters
assert engine._diagnostic_tables == new_engine._diagnostic_tables
assert all(engine._row_names == new_engine._row_names)
assert all(engine._col_names == new_engine._col_names)
def test_save_and_load_equivalence(gendf):
df = gendf()
engine = Engine(df, n_models=5, use_mp=False)
engine.init_models()
with tempfile.NamedTemporaryFile('wb') as tf:
engine.save(tf.name)
new_engine = Engine.load(tf.name)
assert engine._models == new_engine._models
assert engine._dtypes == new_engine._dtypes
assert engine._metadata == new_engine._metadata
assert engine._converters == new_engine._converters
assert engine._diagnostic_tables == new_engine._diagnostic_tables
assert all(engine._row_names == new_engine._row_names)
assert all(engine._col_names == new_engine._col_names)
