diff --git a/examples/sktime/flavor.py b/examples/sktime/flavor.py index 26a0f16045197..bc8704627dc94 100644 --- a/examples/sktime/flavor.py +++ b/examples/sktime/flavor.py @@ -218,7 +218,7 @@ def save_model( message=( f"Unrecognized serialization format: {serialization_format}. " "Please specify one of the following supported formats: " - "{SUPPORTED_SERIALIZATION_FORMATS}." + f"{SUPPORTED_SERIALIZATION_FORMATS}." ), error_code=INVALID_PARAMETER_VALUE, ) diff --git a/mlflow/gateway/providers/anthropic.py b/mlflow/gateway/providers/anthropic.py index a742ba06490c3..3507532ec206d 100644 --- a/mlflow/gateway/providers/anthropic.py +++ b/mlflow/gateway/providers/anthropic.py @@ -67,7 +67,7 @@ def completions_to_model(cls, payload, config): if n != 1: raise HTTPException( status_code=422, - detail="'n' must be '1' for the Anthropic provider. Received value: '{n}'.", + detail=f"'n' must be '1' for the Anthropic provider. Received value: '{n}'.", ) payload = rename_payload_keys(payload, key_mapping) diff --git a/mlflow/gateway/providers/bedrock.py b/mlflow/gateway/providers/bedrock.py index ed0d1223936ad..f80a30c3bda64 100644 --- a/mlflow/gateway/providers/bedrock.py +++ b/mlflow/gateway/providers/bedrock.py @@ -50,7 +50,7 @@ def completions_to_model(cls, payload, config): if n != 1: raise HTTPException( status_code=422, - detail="'n' must be '1' for AWS Titan models. Received value: '{n}'.", + detail=f"'n' must be '1' for AWS Titan models. Received value: '{n}'.", ) # The range of Titan's temperature is 0-1, but ours is 0-2, so we halve it diff --git a/mlflow/recipes/cards/pandas_renderer.py b/mlflow/recipes/cards/pandas_renderer.py index 352a8f78ac3b4..afcb6db7b3756 100644 --- a/mlflow/recipes/cards/pandas_renderer.py +++ b/mlflow/recipes/cards/pandas_renderer.py @@ -291,7 +291,7 @@ def construct_facets_html( protostr = base64.b64encode(proto.SerializeToString()).decode("utf-8") polyfills_code = get_facets_polyfills() - html_template = """ + return f"""
@@ -299,7 +299,6 @@ def construct_facets_html(
""" # noqa: E501 - return html_template.format(protostr=protostr, compare=compare, polyfills_code=polyfills_code) def get_html(inputs: Union[pd.DataFrame, Iterable[Tuple[str, pd.DataFrame]]]) -> str: diff --git a/mlflow/tracking/client.py b/mlflow/tracking/client.py index f6de85de3a488..742def55776ff 100644 --- a/mlflow/tracking/client.py +++ b/mlflow/tracking/client.py @@ -3555,7 +3555,7 @@ def print_model_version_info(mv): ) latest_versions = self.get_latest_versions(name, stages=[stage]) if not latest_versions: - raise MlflowException("Could not find any model version for {stage} stage") + raise MlflowException(f"Could not find any model version for {stage} stage") version = latest_versions[0].version self._get_registry_client().delete_model_version_tag(name, version, key) diff --git a/mlflow/transformers/signature.py b/mlflow/transformers/signature.py index 002b788e3b1fd..11048484c36bd 100644 --- a/mlflow/transformers/signature.py +++ b/mlflow/transformers/signature.py @@ -105,14 +105,14 @@ def infer_or_get_default_signature( if isinstance(e, MlflowTimeoutError): msg = ( "Attempted to generate a signature for the saved pipeline but prediction timed " - "out after {timeout} seconds. Falling back to the default signature for the " + f"out after {timeout} seconds. Falling back to the default signature for the " "pipeline. You can specify a signature manually or increase the timeout " f"by setting the environment variable {MLFLOW_INPUT_EXAMPLE_INFERENCE_TIMEOUT}" ) else: msg = ( "Attempted to generate a signature for the saved pipeline but encountered an " - "error. Fall back to the default signature for the pipeline type. Error: {e}" + f"error. Fall back to the default signature for the pipeline type. Error: {e}" ) _logger.warning(msg) diff --git a/mlflow/utils/model_utils.py b/mlflow/utils/model_utils.py index 79c84605ef46d..eac4dea88f628 100644 --- a/mlflow/utils/model_utils.py +++ b/mlflow/utils/model_utils.py @@ -220,12 +220,12 @@ def _validate_onnx_session_options(onnx_session_options): elif key == "execution_mode" and value.upper() not in ["PARALLEL", "SEQUENTIAL"]: raise ValueError( f"Value for key {key} in onnx_session_options should be " - "'parallel' or 'sequential', not {value}" + f"'parallel' or 'sequential', not {value}" ) elif key == "graph_optimization_level" and value not in [0, 1, 2, 99]: raise ValueError( f"Value for key {key} in onnx_session_options should be 0, 1, 2, or 99, " - "not {value}" + f"not {value}" ) elif key in ["intra_op_num_threads", "intra_op_num_threads"] and value < 0: raise ValueError( diff --git a/mlflow/utils/search_utils.py b/mlflow/utils/search_utils.py index 153d4103cde68..3d4d446e09926 100644 --- a/mlflow/utils/search_utils.py +++ b/mlflow/utils/search_utils.py @@ -519,7 +519,7 @@ def is_string_attribute(cls, key_type, key_name, comparator): if key_type == cls._ATTRIBUTE_IDENTIFIER and key_name not in cls.NUMERIC_ATTRIBUTES: if comparator not in cls.VALID_STRING_ATTRIBUTE_COMPARATORS: raise MlflowException( - "Invalid comparator '{comparator}' not one of " + f"Invalid comparator '{comparator}' not one of " f"'{cls.VALID_STRING_ATTRIBUTE_COMPARATORS}'" ) return True @@ -932,7 +932,7 @@ def is_attribute(cls, key_type, comparator): if key_type == cls._ATTRIBUTE_IDENTIFIER: if comparator not in cls.VALID_STRING_ATTRIBUTE_COMPARATORS: raise MlflowException( - "Invalid comparator '{comparator}' not one of " + f"Invalid comparator '{comparator}' not one of " f"'{cls.VALID_STRING_ATTRIBUTE_COMPARATORS}'" ) return True diff --git a/tests/store/tracking/test_file_store.py b/tests/store/tracking/test_file_store.py index 524684c3b8522..37c7210e852bc 100644 --- a/tests/store/tracking/test_file_store.py +++ b/tests/store/tracking/test_file_store.py @@ -2382,7 +2382,7 @@ def test_log_input_multiple_times_does_not_overwrite_tags_or_dataset(store): overwrite_dataset = Dataset( name="name", digest="digest", - source_type="st{i}", + source_type=f"st{i}", source=f"source{i}", schema=f"schema{i}", profile=f"profile{i}",