update packages versions (#1717)

Co-authored-by: Haifeng Jin <haifeng-jin@users.noreply.github.com>

Author: haifeng-jin

autokeras/__init__.py

@@ -65,7 +65,7 @@
 from autokeras.utils.utils import check_kt_version
 from autokeras.utils.utils import check_tf_version
 
-__version__ = "master"
+__version__ = "1.0.19dev"
 
 check_tf_version()
 check_kt_version()

autokeras/utils/utils.py

@@ -13,6 +13,7 @@
 # limitations under the License.
 
 import re
+import warnings
 
 import keras_tuner
 import tensorflow as tf
@@ -37,27 +38,25 @@ def to_snake_case(name):
 
 def check_tf_version() -> None:
     if parse(tf.__version__) < parse("2.7.0"):
-        raise ImportError(
+        warnings.warn(
             "The Tensorflow package version needs to be at least 2.7.0 \n"
             "for AutoKeras to run. Currently, your TensorFlow version is \n"
-            "{version}. Please upgrade with \n"
+            f"{tf.__version__}. Please upgrade with \n"
             "`$ pip install --upgrade tensorflow`. \n"
-            "You can use `pip freeze` to check afterwards that everything is "
-            "ok.".format(version=tf.__version__)
+            "You can use `pip freeze` to check afterwards that everything is ok.",
+            ImportWarning,
         )
 
 
 def check_kt_version() -> None:
-    if keras_tuner.__version__ == "master":
-        return
     if parse(keras_tuner.__version__) < parse("1.1.0"):
-        raise ImportError(
+        warnings.warn(
             "The Keras Tuner package version needs to be at least 1.1.0 \n"
             "for AutoKeras to run. Currently, your Keras Tuner version is \n"
-            "{version}. Please upgrade with \n"
+            f"{keras_tuner.__version__}. Please upgrade with \n"
             "`$ pip install --upgrade keras-tuner`. \n"
-            "You can use `pip freeze` to check afterwards that everything is "
-            "ok.".format(version=keras_tuner.__version__)
+            "You can use `pip freeze` to check afterwards that everything is ok.",
+            ImportWarning,
         )
 
 
@@ -71,7 +70,7 @@ def evaluate_with_adaptive_batch_size(model, batch_size, verbose=1, **fit_kwargs
         lambda x, validation_data, **kwargs: model.evaluate(
             x, verbose=verbose, **kwargs
         ),
-        **fit_kwargs
+        **fit_kwargs,
     )
 
 
@@ -81,7 +80,7 @@ def predict_with_adaptive_batch_size(model, batch_size, verbose=1, **fit_kwargs)
         lambda x, validation_data, **kwargs: model.predict(
             x, verbose=verbose, **kwargs
         ),
-        **fit_kwargs
+        **fit_kwargs,
     )
 
 

autokeras/utils/utils_test.py

@@ -30,24 +30,27 @@ def test_validate_num_inputs_error():
 def test_check_tf_version_error():
     utils.tf.__version__ = "2.1.0"
 
-    with pytest.raises(ImportError) as info:
+    with pytest.warns(ImportWarning) as record:
         utils.check_tf_version()
 
-    assert "Tensorflow package version needs to be at least" in str(info.value)
+    assert len(record) == 1
+    assert (
+        "Tensorflow package version needs to be at least"
+        in record[0].message.args[0]
+    )
 
 
 def test_check_kt_version_error():
     utils.keras_tuner.__version__ = "1.0.0"
 
-    with pytest.raises(ImportError) as info:
+    with pytest.warns(ImportWarning) as record:
         utils.check_kt_version()
 
-    assert "Keras Tuner package version needs to be at least" in str(info.value)
-
-
-def test_check_kt_version_master():
-    utils.keras_tuner.__version__ = "master"
-    utils.check_kt_version()
+    assert len(record) == 1
+    assert (
+        "Keras Tuner package version needs to be at least"
+        in record[0].message.args[0]
+    )
 
 
 def test_run_with_adaptive_batch_size_raise_error():

setup.py

@@ -26,7 +26,7 @@
         "tests": [
             "pytest>=4.4.0",
             "flake8",
-            "black",
+            "black==22.3.0",
             "isort",
             "pytest-xdist",
             "pytest-cov",