feat: add support for Python v3.13

PiperOrigin-RevId: 822257006

Author: speedstorm1

.github/sync-repo-settings.yaml

@@ -20,11 +20,14 @@ branchProtectionRules:
     - 'Presubmit - Unit Tests Python 3.10'
     - 'Presubmit - Unit Tests Python 3.11'
     - 'Presubmit - Unit Tests Python 3.12'
+    - 'Presubmit - Unit Tests Python 3.13'
     - 'Presubmit - Unit Tests Ray 2.9.3'
     - 'Presubmit - Unit Tests Ray 2.33.0'
     - 'Presubmit - Unit Tests Ray 2.42.0 (Python 3.10)'
     - 'Presubmit - Unit Tests Ray 2.42.0 (Python 3.11)'
     - 'Presubmit - Unit Tests Ray 2.47.1 (Python 3.11)'
     - 'Presubmit - Unit Tests LangChain (Python 3.9)'
     - 'Presubmit - Unit Tests LangChain (Python 3.10)'
-    - 'Presubmit - Unit Tests LangChain (Python 3.11)'
+    - 'Presubmit - Unit Tests LangChain (Python 3.11)'
+    - 'Presubmit - Unit Tests LangChain (Python 3.12)'
+    - 'Presubmit - Unit Tests LangChain (Python 3.13)'

.github/workflows/mypy.yml

@@ -16,7 +16,7 @@ jobs:
     runs-on: ubuntu-latest
     strategy:
       matrix:
-        python-version: ['3.9', '3.10', '3.11', '3.12']
+        python-version: ['3.9', '3.10', '3.11', '3.12', '3.13']
 
     steps:
       - name: Checkout code

noxfile.py

@@ -51,10 +51,10 @@
     "recommonmark",
 )
 
-UNIT_TEST_PYTHON_VERSIONS = ["3.9", "3.10", "3.11", "3.12"]
-UNIT_TEST_LANGCHAIN_PYTHON_VERSIONS = ["3.9", "3.10", "3.11", "3.12"]
-UNIT_TEST_AG2_PYTHON_VERSIONS = ["3.9", "3.10", "3.11", "3.12"]
-UNIT_TEST_LLAMA_INDEX_PYTHON_VERSIONS = ["3.9", "3.10", "3.11", "3.12"]
+UNIT_TEST_PYTHON_VERSIONS = ["3.9", "3.10", "3.11", "3.12", "3.13"]
+UNIT_TEST_LANGCHAIN_PYTHON_VERSIONS = ["3.9", "3.10", "3.11", "3.12", "3.13"]
+UNIT_TEST_AG2_PYTHON_VERSIONS = ["3.9", "3.10", "3.11", "3.12", "3.13"]
+UNIT_TEST_LLAMA_INDEX_PYTHON_VERSIONS = ["3.9", "3.10", "3.11", "3.12", "3.13"]
 PYTHON_TO_RAY_VERSIONS = {
     "3.10": ["2.9.3", "2.33.0", "2.42.0"],
     "3.11": ["2.42.0", "2.47.1"],

owlbot.py

@@ -99,7 +99,7 @@
     templated_files = common.py_library(
         cov_level=98,
         system_test_python_versions=["3.9"],
-        unit_test_python_versions=["3.9", "3.10", "3.11", "3.12"],
+        unit_test_python_versions=["3.9", "3.10", "3.11", "3.12", "3.13"],
         unit_test_extras=["testing"],
         system_test_extras=["testing"],
         microgenerator=True,
@@ -126,10 +126,12 @@
             ".kokoro/samples/python3.10/common.cfg",
             ".kokoro/samples/python3.11/common.cfg",
             ".kokoro/samples/python3.12/common.cfg",
+            ".kokoro/samples/python3.13/common.cfg",
             ".kokoro/samples/python3.9/periodic.cfg",
             ".kokoro/samples/python3.10/periodic.cfg",
             ".kokoro/samples/python3.11/periodic.cfg",
             ".kokoro/samples/python3.12/periodic.cfg",
+            ".kokoro/samples/python3.13/periodic.cfg",
             ".github/auto-label.yaml",
             ".github/blunderbuss.yml",
             ".github/CODEOWNERS",

setup.py

@@ -53,12 +53,12 @@
 tensorboard_extra_require = profiler_extra_require
 
 metadata_extra_require = ["pandas >= 1.0.0", "numpy>=1.15.0"]
-xai_extra_require = ["tensorflow >=2.3.0, <3.0.0"]
+xai_extra_require = ["tensorflow >=2.3.0, <3.0.0; python_version<'3.13'"]
 lit_extra_require = [
-    "tensorflow >= 2.3.0, <3.0.0",
+    "tensorflow >= 2.3.0, <3.0.0; python_version<'3.13'",
     "pandas >= 1.0.0",
     "lit-nlp == 0.4.0",
-    "explainable-ai-sdk >= 1.0.0",
+    "explainable-ai-sdk >= 1.0.0; python_version<'3.13'",
 ]
 featurestore_extra_require = [
     "google-cloud-bigquery-storage",
@@ -131,7 +131,7 @@
     "ray[train]",
     # Framework version constraints copied from testing_extra_require
     "scikit-learn<1.6.0",
-    "tensorflow",
+    "tensorflow; python_version<'3.13'",
     "torch >= 2.0.0, < 2.1.0",
     "xgboost",
     "xgboost_ray",
@@ -250,20 +250,23 @@
         # google-api-core 2.x is required since kfp requires protobuf > 4
         "google-api-core >= 2.11, < 3.0.0",
         "grpcio-testing",
+        "grpcio-tools >= 1.63.0; python_version>='3.13'",
         "ipython",
-        "kfp >= 2.6.0, < 3.0.0",
+        "kfp >= 2.6.0, < 3.0.0; python_version<'3.13'",
         "pytest-asyncio",
+        "pytest-cov",
+        "mock",
         "pytest-xdist",
         "scikit-learn<1.6.0; python_version<='3.10'",
         "scikit-learn; python_version>'3.10'",
         # Lazy import requires > 2.12.0
         "tensorflow == 2.14.1; python_version<='3.11'",
-        "tensorflow == 2.19.0; python_version>'3.11'",
+        "tensorflow == 2.19.0; python_version>'3.11' and python_version<'3.13'",
         "protobuf <= 5.29.4",
         # TODO(jayceeli) torch 2.1.0 has conflict with pyfakefs, will check if
         # future versions fix this issue
         "torch >= 2.0.0, < 2.1.0; python_version<='3.11'",
-        "torch >= 2.2.0; python_version>'3.11'",
+        "torch >= 2.2.0; python_version>'3.11' and python_version<'3.13'",
         "requests-toolbelt <= 1.0.0",
         "immutabledict",
         "xgboost",
@@ -300,7 +303,8 @@
         "proto-plus >= 1.22.3, <2.0.0",
         "protobuf>=3.20.2,<7.0.0,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5",
         "packaging >= 14.3",
-        "google-cloud-storage >= 1.32.0, < 3.0.0",
+        "google-cloud-storage >= 1.32.0, < 3.0.0; python_version<'3.13'",
+        "google-cloud-storage >= 2.10.0, < 3.0.0; python_version>='3.13'",
         "google-cloud-bigquery >= 1.15.0, < 4.0.0, !=3.20.0",
         "google-cloud-resource-manager >= 1.3.3, < 3.0.0",
         "shapely < 3.0.0",
@@ -348,6 +352,7 @@
         "Programming Language :: Python :: 3.10",
         "Programming Language :: Python :: 3.11",
         "Programming Language :: Python :: 3.12",
+        "Programming Language :: Python :: 3.13",
         "Topic :: Internet",
         "Topic :: Software Development :: Libraries :: Python Modules",
     ],

testing/constraints-3.13.txt

@@ -0,0 +1,15 @@
+# -*- coding: utf-8 -*-
+# This constraints file is required for unit tests.
+# List all library dependencies and extras in this file.
+google-api-core==2.21.0 # Tests google-api-core with rest async support
+google-auth==2.35.0 # Tests google-auth with rest async support
+proto-plus
+mock==4.0.2
+google-cloud-storage==2.10.0 # Increased for kfp 2.0 compatibility
+packaging==24.1 # Increased to unbreak canonicalize_version error (b/377774673)
+pytest-xdist==3.3.1 # Pinned to unbreak unit tests
+ray==2.5.0 # Pinned until 2.9.3 is verified for Ray tests
+ipython==8.22.2 # Pinned to unbreak TypeAliasType import error
+google-adk==0.0.2
+google-genai>=1.10.0
+google-vizier==0.1.21

tests/unit/aiplatform/test_explain_saved_model_metadata_builder_tf1_test.py

@@ -16,6 +16,11 @@
 #
 
 import pytest
+import sys
+
+if sys.version_info >= (3, 13):
+    pytest.skip("Tensorflow not available for Python 3.13+", allow_module_level=True)
+
 import tensorflow.compat.v1 as tf
 
 from google.cloud.aiplatform import models
@@ -27,6 +32,7 @@
 
 
 @pytest.mark.usefixtures("google_auth_mock")
+@pytest.mark.skipif(tf is None, reason="Tensorflow not available for Python 3.13+")
 class SavedModelMetadataBuilderTF1Test(tf.test.TestCase):
     def _set_up(self):
         self.sess = tf.Session(graph=tf.Graph())

tests/unit/aiplatform/test_explain_saved_model_metadata_builder_tf2_test.py

@@ -16,6 +16,11 @@
 #
 
 import pytest
+import sys
+
+if sys.version_info >= (3, 13):
+    pytest.skip("Tensorflow not available for Python 3.13+", allow_module_level=True)
+
 import tensorflow as tf
 import numpy as np
 

tests/unit/aiplatform/test_logdir_loader.py

@@ -21,6 +21,13 @@
 import shutil
 import tempfile
 
+import sys
+
+import pytest
+
+if sys.version_info >= (3, 13):
+    pytest.skip("Tensorflow not available for Python 3.13+", allow_module_level=True)
+
 from google.cloud.aiplatform.tensorboard import logdir_loader
 import tensorflow as tf
 

tests/unit/aiplatform/test_uploader_utils.py

@@ -20,6 +20,13 @@
 from unittest import mock
 
 from absl.testing import absltest
+import sys
+
+import pytest
+
+if sys.version_info >= (3, 13):
+    pytest.skip("Tensorboard not available for Python 3.13+", allow_module_level=True)
+
 from google.cloud.aiplatform.tensorboard import uploader_utils