updated sagemaker-core, boto

Author: Mohamed Zeidan

pyproject.toml

@@ -32,7 +32,7 @@ classifiers = [
 ]
 dependencies = [
   "attrs>=24,<26",
-  "boto3>=1.39.5,<2.0",
+  "boto3>=1.42.2,<2.0",
   "cloudpickle>=2.2.1",
   "docker",
   "fastapi",
@@ -49,7 +49,7 @@ dependencies = [
   "psutil",
   "PyYAML>=6.0.1",
   "requests",
-  "sagemaker-core>=1.0.17,<2.0.0",
+  "sagemaker-core>=1.0.71,<2.0.0",
   "schema",
   "smdebug_rulesconfig==1.0.1",
   "tblib>=1.7.0,<4",

src/sagemaker/modules/train/sm_recipes/utils.py

@@ -351,7 +351,7 @@ def _get_args_from_nova_recipe(
     reward_lambda_arn = run_config.get("reward_lambda_arn", "")
     if reward_lambda_arn:
         args["hyperparameters"]["reward_lambda_arn"] = reward_lambda_arn
-        
+
     _register_custom_resolvers()
 
     # Resolve Final Recipe

tests/unit/test_pytorch_nova.py

@@ -909,4 +909,4 @@ def test_setup_for_nova_recipe_without_reward_lambda(mock_resolve_save, sagemake
         assert pytorch.is_nova_or_eval_recipe is True
 
         # Verify that reward_lambda_arn hyperparameter was not set
-        assert "reward_lambda_arn" not in pytorch._hyperparameters
+        assert "reward_lambda_arn" not in pytorch._hyperparameters