Merge b0c7aa2 into 9a7d409

.github/workflows/build-and-test.yml

@@ -23,7 +23,7 @@ jobs:
     - name: Set up Python
       uses: actions/setup-python@v5
       with:
-        python-version: "3.9"
+        python-version: "3.10"
     - name: Install dependencies
       # Pin ufmt deps so they match intermal pyfmt.
       run: |
@@ -50,7 +50,7 @@ jobs:
     - name: Set up Python
       uses: actions/setup-python@v5
       with:
-        python-version: "3.9"
+        python-version: "3.10"
     - name: Install dependencies
       env:
         ALLOW_BOTORCH_LATEST: true

.github/workflows/cron.yml

@@ -43,7 +43,7 @@ jobs:
     - name: Set up Python
       uses: actions/setup-python@v5
       with:
-        python-version: "3.9"
+        python-version: "3.10"
     - name: Install dependencies
       env:
         ALLOW_BOTORCH_LATEST: true
@@ -70,7 +70,7 @@ jobs:
     - name: Set up Python
       uses: actions/setup-python@v5
       with:
-        python-version: "3.9"
+        python-version: "3.10"
     - name: Install dependencies
       env:
         ALLOW_BOTORCH_LATEST: true

.github/workflows/deploy.yml

@@ -30,7 +30,7 @@ jobs:
     - name: Set up Python
       uses: actions/setup-python@v5
       with:
-        python-version: "3.9"
+        python-version: "3.10"
     - name: Install dependencies
       run: |
         # use stable Botorch
@@ -51,7 +51,7 @@ jobs:
     - name: Set up Python
       uses: actions/setup-python@v5
       with:
-        python-version: "3.9"
+        python-version: "3.10"
     - name: Install dependencies
       run: |
         # use stable Botorch

.github/workflows/reusable_test.yml

@@ -25,7 +25,7 @@ jobs:
     runs-on: ubuntu-latest
     strategy:
       matrix:
-        python-version: ["3.9", "3.11"]
+        python-version: ["3.10", "3.11"]
       fail-fast: false
 
     steps:

.github/workflows/reusable_tutorials.yml

@@ -28,7 +28,7 @@ jobs:
     - name: Set up Python
       uses: actions/setup-python@v5
       with:
-        python-version: "3.9"
+        python-version: "3.10"
 
     - if: ${{ inputs.pinned_botorch }}
       name: Install dependencies with pinned BoTorch

README.md

@@ -63,7 +63,7 @@ artificial evaluation function):
 ## Installation
 
 ### Requirements
-You need Python 3.9 or later to run Ax.
+You need Python 3.10 or later to run Ax.
 
 The required Python dependencies are:
 

ax/core/tests/test_batch_trial.py

@@ -431,6 +431,8 @@ def test_clone_to(self, _) -> None:
         self.assertEqual(new_batch_trial_0.index, 1)
         # Set index to original trial's value for equality check.
         new_batch_trial_0._index = batch.index
+        new_batch_trial_0._time_created = batch._time_created
+        new_batch_trial_1._time_created = batch._time_created
         self.assertEqual(new_batch_trial_0, batch)
         self.assertEqual(new_batch_trial_1, batch)
 

ax/service/utils/best_point.py

@@ -52,7 +52,7 @@
 from ax.plot.pareto_utils import get_tensor_converter_model
 from ax.utils.common.logger import get_logger
 from ax.utils.common.typeutils import checked_cast, not_none
-from numpy import NaN
+from numpy import nan
 from torch import Tensor
 
 logger: Logger = get_logger(__name__)
@@ -735,7 +735,7 @@ def _is_all_noiseless(df: pd.DataFrame, metric_name: str) -> bool:
     name_mask = df["metric_name"] == metric_name
     df_metric_arms_sems = df[name_mask]["sem"]
 
-    return ((df_metric_arms_sems == 0) | df_metric_arms_sems == NaN).all()
+    return ((df_metric_arms_sems == 0) | df_metric_arms_sems == nan).all()
 
 
 def _derel_opt_config_wrapper(

docs/installation.md

@@ -4,7 +4,7 @@ title: Installation
 ---
 
 ## Requirements
-You need Python 3.9 or later to run Ax.
+You need Python 3.10 or later to run Ax.
 
 The required Python dependencies are:
 

setup.py

@@ -105,7 +105,7 @@ def setup_package() -> None:
         ],
         long_description=long_description,
         long_description_content_type="text/markdown",
-        python_requires=">=3.9",
+        python_requires=">=3.10",
         install_requires=REQUIRES,
         packages=find_packages(),
         package_data={