chore: address flake8 errors

Author: evakravi

src/sagemaker/jumpstart/factory/estimator.py

@@ -612,7 +612,8 @@ def _add_env_to_kwargs(
         )
         if model_specs.is_gated_model():
             raise ValueError(
-                f"Need to define ‘accept_eula'='true' within Environment. {get_eula_message(model_specs, kwargs.region)}"
+                "Need to define ‘accept_eula'='true' within Environment. "
+                f"{get_eula_message(model_specs, kwargs.region)}"
             )
 
     return kwargs

tests/unit/sagemaker/jumpstart/constants.py

@@ -29,7 +29,8 @@
         },
         "hosting_artifact_key": "huggingface-llm/huggingface-llm-gemma-7b-instruct/artifacts/inference/v1.0.0/",
         "hosting_script_key": "source-directory-tarballs/huggingface/inference/llm/v1.0.1/sourcedir.tar.gz",
-        "hosting_prepacked_artifact_key": "huggingface-llm/huggingface-llm-gemma-7b-instruct/artifacts/inference-prepack/v1.0.0/",
+        "hosting_prepacked_artifact_key": "huggingface-llm/huggingface-llm-gemma-7b-i"
+        "nstruct/artifacts/inference-prepack/v1.0.0/",
         "hosting_prepacked_artifact_version": "1.0.0",
         "hosting_use_script_uri": False,
         "hosting_eula_key": "fmhMetadata/terms/gemmaTerms.txt",
@@ -417,7 +418,8 @@
             },
         ],
         "training_script_key": "source-directory-tarballs/huggingface/transfer_learning/llm/v1.1.1/sourcedir.tar.gz",
-        "training_prepacked_script_key": "source-directory-tarballs/huggingface/transfer_learning/llm/prepack/v1.1.1/sourcedir.tar.gz",
+        "training_prepacked_script_key": "source-directory-tarballs/huggingface/transfer_learning/"
+        "llm/prepack/v1.1.1/sourcedir.tar.gz",
         "training_prepacked_script_version": "1.1.1",
         "training_ecr_specs": {
             "framework": "huggingface",
@@ -593,13 +595,15 @@
                 "g4dn": {
                     "regional_properties": {"image_uri": "$gpu_ecr_uri_1"},
                     "properties": {
-                        "gated_model_key_env_var_value": "huggingface-training/g4dn/v1.0.0/train-huggingface-llm-gemma-7b-instruct.tar.gz"
+                        "gated_model_key_env_var_value": "huggingface-training/g4dn/v1.0.0/train-hugg"
+                        "ingface-llm-gemma-7b-instruct.tar.gz"
                     },
                 },
                 "g5": {
                     "regional_properties": {"image_uri": "$gpu_ecr_uri_1"},
                     "properties": {
-                        "gated_model_key_env_var_value": "huggingface-training/g5/v1.0.0/train-huggingface-llm-gemma-7b-instruct.tar.gz"
+                        "gated_model_key_env_var_value": "huggingface-training/g5/v1.0.0/train-huggingf"
+                        "ace-llm-gemma-7b-instruct.tar.gz"
                     },
                 },
                 "local_gpu": {"regional_properties": {"image_uri": "$gpu_ecr_uri_1"}},
@@ -608,13 +612,15 @@
                 "p3dn": {
                     "regional_properties": {"image_uri": "$gpu_ecr_uri_1"},
                     "properties": {
-                        "gated_model_key_env_var_value": "huggingface-training/p3dn/v1.0.0/train-huggingface-llm-gemma-7b-instruct.tar.gz"
+                        "gated_model_key_env_var_value": "huggingface-training/p3dn/v1.0.0/train-hugg"
+                        "ingface-llm-gemma-7b-instruct.tar.gz"
                     },
                 },
                 "p4d": {
                     "regional_properties": {"image_uri": "$gpu_ecr_uri_1"},
                     "properties": {
-                        "gated_model_key_env_var_value": "huggingface-training/p4d/v1.0.0/train-huggingface-llm-gemma-7b-instruct.tar.gz"
+                        "gated_model_key_env_var_value": "huggingface-training/"
+                        "p4d/v1.0.0/train-huggingface-llm-gemma-7b-instruct.tar.gz"
                     },
                 },
                 "p4de": {"regional_properties": {"image_uri": "$gpu_ecr_uri_1"}},

tests/unit/sagemaker/jumpstart/test_utils.py

@@ -906,7 +906,8 @@ def make_accept_eula_inference_spec(*largs, **kwargs):
         )
         mocked_info_log.assert_any_call(
             "Model 'pytorch-eqa-bert-base-cased' requires accepting end-user license agreement (EULA). "
-            "See https://jumpstart-cache-prod-us-east-1.s3.us-east-1.amazonaws.com/read/the/fine/print.txt for terms of use.",
+            "See https://jumpstart-cache-prod-us-east-1.s3.us-east-1.amazonaws.com/read/the/fine/print.txt"
+            " for terms of use.",
         )