[pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

Author: pre-commit-ci[bot]

argilla-server/src/argilla_server/_app.py

@@ -298,7 +298,7 @@ def _show_telemetry_warning():
         "    https://docs.argilla.io/latest/reference/argilla-server/telemetry/\n\n"
         "Telemetry is currently enabled. If you want to disable it, you can configure\n"
         "the environment variable before relaunching the server:\n\n"
-        f'{"#set HF_HUB_DISABLE_TELEMETRY=1" if os.name == "nt" else "$>export HF_HUB_DISABLE_TELEMETRY=1"}'
+        f"{'#set HF_HUB_DISABLE_TELEMETRY=1' if os.name == 'nt' else '$>export HF_HUB_DISABLE_TELEMETRY=1'}"
     )
     _LOGGER.warning(message)
 

argilla-v1/src/argilla_v1/client/datasets.py

@@ -1156,7 +1156,7 @@ def _prepare_for_training_with_spacy(self, nlp: "spacy.Language", records: List[
                     raise ValueError(
                         "The following annotation does not align with the tokens"
                         " produced by the provided spacy language model:"
-                        f" {(anno[0], record.text[anno[1]:anno[2]])}, {list(doc)}"
+                        f" {(anno[0], record.text[anno[1] : anno[2]])}, {list(doc)}"
                     )
                 else:
                     entities.append(span)

argilla-v1/src/argilla_v1/client/feedback/dataset/helpers.py

@@ -169,7 +169,7 @@ def normalize_records(
             new_records.append(record)
         else:
             raise ValueError(
-                "Expected `records` to be a list of `dict` or `FeedbackRecord`," f" got type `{type(record)}` instead."
+                f"Expected `records` to be a list of `dict` or `FeedbackRecord`, got type `{type(record)}` instead."
             )
     return new_records
 
@@ -384,7 +384,7 @@ def _validate_record_metadata(record: FeedbackRecord, metadata_schema: typing.Ty
         metadata_schema.parse_obj(record.metadata)
     except ValidationError as e:
         raise ValueError(
-            f"`FeedbackRecord.metadata` {record.metadata} does not match the expected schema," f" with exception: {e}"
+            f"`FeedbackRecord.metadata` {record.metadata} does not match the expected schema, with exception: {e}"
         ) from e
 
 

argilla-v1/src/argilla_v1/client/feedback/dataset/local/dataset.py

@@ -230,7 +230,7 @@ def __getitem__(self, key: Union[slice, int]) -> Union["FeedbackRecord", List["F
         """
         if len(self._records) < 1:
             raise RuntimeError(
-                "In order to get items from `FeedbackDataset` you need to add them first" " with `add_records`."
+                "In order to get items from `FeedbackDataset` you need to add them first with `add_records`."
             )
         if isinstance(key, int) and len(self._records) < key:
             raise IndexError(f"This dataset contains {len(self)} records, so index {key} is out of range.")
@@ -331,8 +331,7 @@ def delete_vectors_settings(
 
         if not self.vectors_settings:
             raise ValueError(
-                "The current `FeedbackDataset` does not contain any `vectors_settings` defined, so"
-                " none can be deleted."
+                "The current `FeedbackDataset` does not contain any `vectors_settings` defined, so none can be deleted."
             )
 
         if not all(vector_setting in self._vectors_settings.keys() for vector_setting in vectors_settings):

argilla-v1/src/argilla_v1/client/feedback/dataset/local/mixins.py

@@ -89,7 +89,7 @@ def __delete_dataset(client: "httpx.Client", id: UUID) -> None:
             datasets_api_v1.delete_dataset(client=client, id=id)
         except Exception as e:
             raise Exception(
-                f"Failed while deleting the `FeedbackDataset` with ID '{id}' from Argilla with" f" exception: {e}"
+                f"Failed while deleting the `FeedbackDataset` with ID '{id}' from Argilla with exception: {e}"
             ) from e
 
     @staticmethod

argilla-v1/src/argilla_v1/client/feedback/integrations/huggingface/model_card/model_card.py

@@ -422,7 +422,7 @@ def generate(model_id: str, instruction: str, context: str = "") -> str:
                     )
                     return tokenizer.decode(outputs[0])
 
-                generate("{self.output_dir.replace('"', '')}", "Is a toad a frog?")"""
+                generate("{self.output_dir.replace('"', "")}", "Is a toad a frog?")"""
             )
         elif self.task_type == "for_reward_modeling":
             return predict_call + dedent(

argilla-v1/src/argilla_v1/client/models.py

@@ -424,7 +424,7 @@ def __init__(
             raise AssertionError("Missing fields: At least one of `text` or `tokens` argument must be provided!")
 
         if (data.get("annotation") or data.get("prediction")) and text is None:
-            raise AssertionError("Missing field `text`: " "char level spans must be provided with a raw text sentence")
+            raise AssertionError("Missing field `text`: char level spans must be provided with a raw text sentence")
 
         if text is None:
             text = " ".join(tokens)

argilla-v1/src/argilla_v1/client/sdk/commons/errors.py

@@ -26,7 +26,7 @@ def __init__(self, message: str, response: Any):
         self.response = response
 
     def __str__(self):
-        return f"\nUnexpected response: {self.message}" "\nResponse content:" f"\n{self.response}"
+        return f"\nUnexpected response: {self.message}\nResponse content:\n{self.response}"
 
 
 class InputValueError(BaseClientError):
@@ -52,7 +52,7 @@ def __init__(self, **ctx):
         self.ctx = ctx
 
     def __str__(self):
-        return f"Argilla server returned an error with http status: {self.HTTP_STATUS}. " f"Error details: {self.ctx!r}"
+        return f"Argilla server returned an error with http status: {self.HTTP_STATUS}. Error details: {self.ctx!r}"
 
 
 class BadRequestApiError(ArApiResponseError):

argilla-v1/src/argilla_v1/client/workspaces.py

@@ -120,8 +120,7 @@ def users(self) -> List["UserModel"]:
 
     def __repr__(self) -> str:
         return (
-            f"Workspace(id={self.id}, name={self.name},"
-            f" inserted_at={self.inserted_at}, updated_at={self.updated_at})"
+            f"Workspace(id={self.id}, name={self.name}, inserted_at={self.inserted_at}, updated_at={self.updated_at})"
         )
 
     @allowed_for_roles(roles=[UserRole.owner])
@@ -330,8 +329,7 @@ def from_id(cls, id: UUID) -> "Workspace":
             ) from e
         except ValidationApiError as e:
             raise ValueError(
-                "The ID you provided is not a valid UUID, so please make sure that the"
-                " ID you provided is a valid one."
+                "The ID you provided is not a valid UUID, so please make sure that the ID you provided is a valid one."
             ) from e
         except BaseClientError as e:
             raise RuntimeError(f"Error while retrieving workspace with id=`{id}` from Argilla.") from e

argilla-v1/src/argilla_v1/labeling/text_classification/label_models.py

@@ -240,8 +240,7 @@ def _make_single_label_records(
                 pred_for_rec = [(self._weak_labels.labels[idx], prob[idx]) for idx in np.argsort(prob)[::-1]]
             else:
                 raise NotImplementedError(
-                    f"The tie break policy '{tie_break_policy.value}' is not"
-                    f" implemented for {self.__class__.__name__}!"
+                    f"The tie break policy '{tie_break_policy.value}' is not implemented for {self.__class__.__name__}!"
                 )
 
             records_with_prediction.append(rec.copy(deep=True))