def test_check_kt_version_error():
utils.kerastuner.__version__ = "1.0.0"
with pytest.raises(ImportError) as info:
utils.check_kt_version()
assert "Keras Tuner package version needs to be at least" in str(
info.value)
def test_check_kt_version_error():
utils.keras_tuner.__version__ = "1.0.0"
with pytest.warns(ImportWarning) as record:
utils.check_kt_version()
assert len(record) == 1
assert ("Keras Tuner package version needs to be at least"
in record[0].message.args[0])
from autokeras.nodes import TextInput
from autokeras.nodes import TimeseriesInput
from autokeras.tasks import ImageClassifier
from autokeras.tasks import ImageRegressor
from autokeras.tasks import StructuredDataClassifier
from autokeras.tasks import StructuredDataRegressor
from autokeras.tasks import TextClassifier
from autokeras.tasks import TextRegressor
from autokeras.tasks import TimeseriesForecaster
from autokeras.tuners import BayesianOptimization
from autokeras.tuners import Greedy
from autokeras.tuners import Hyperband
from autokeras.tuners import RandomSearch
from autokeras.utils.io_utils import image_dataset_from_directory
from autokeras.utils.io_utils import text_dataset_from_directory
from autokeras.utils.utils import check_kt_version
from autokeras.utils.utils import check_tf_version
__version__ = "1.0.13"
check_tf_version()
check_kt_version()
CUSTOM_OBJECTS = {
"BertEncoder": BertEncoder,
"BertTokenizer": BertTokenizer,
"CastToFloat32": CastToFloat32,
"ExpandLastDim": ExpandLastDim,
"MultiCategoryEncoding": MultiCategoryEncoding,
}
def test_check_kt_version_master():
utils.keras_tuner.__version__ = "master"
utils.check_kt_version()
