MNT enable preview on black

pyproject.toml

@@ -0,0 +1,4 @@
+[tool.black]
+line-length = 88
+target_version = ['py37', 'py38', 'py39', 'py310']
+preview = true

setup.py

@@ -51,10 +51,15 @@ def get_version() -> str:
     version=get_version(),
     author="Hugging Face, Inc.",
     author_email="julien@huggingface.co",
-    description="Client library to download and publish models on the huggingface.co hub",
+    description=(
+        "Client library to download and publish models on the huggingface.co hub"
+    ),
     long_description=open("README.md", "r", encoding="utf-8").read(),
     long_description_content_type="text/markdown",
-    keywords="model-hub machine-learning models natural-language-processing deep-learning pytorch pretrained-models",
+    keywords=(
+        "model-hub machine-learning models natural-language-processing deep-learning"
+        " pytorch pretrained-models"
+    ),
     license="Apache",
     url="https://github.com/huggingface/huggingface_hub",
     package_dir={"": "src"},

src/huggingface_hub/commands/lfs.py

@@ -88,7 +88,8 @@ def run(self):
             cwd=local_path,
         )
         subprocess.run(
-            f"git config lfs.customtransfer.multipart.args {LFS_MULTIPART_UPLOAD_COMMAND}".split(),
+            "git config lfs.customtransfer.multipart.args"
+            f" {LFS_MULTIPART_UPLOAD_COMMAND}".split(),
             check=True,
             cwd=local_path,
         )

src/huggingface_hub/commands/user.py

@@ -46,7 +46,10 @@ def register_subcommand(parser: ArgumentParser):
         # new system: git-based repo system
         repo_parser = parser.add_parser(
             "repo",
-            help="{create, ls-files} Commands to interact with your huggingface.co repos.",
+            help=(
+                "{create, ls-files} Commands to interact with your huggingface.co"
+                " repos."
+            ),
         )
         repo_subparsers = repo_parser.add_subparsers(
             help="huggingface.co repos related commands"
@@ -57,20 +60,29 @@ def register_subcommand(parser: ArgumentParser):
         repo_create_parser.add_argument(
             "name",
             type=str,
-            help="Name for your repo. Will be namespaced under your username to build the repo id.",
+            help=(
+                "Name for your repo. Will be namespaced under your username to build"
+                " the repo id."
+            ),
         )
         repo_create_parser.add_argument(
             "--type",
             type=str,
-            help='Optional: repo_type: set to "dataset" or "space" if creating a dataset or space, default is model.',
+            help=(
+                'Optional: repo_type: set to "dataset" or "space" if creating a dataset'
+                " or space, default is model."
+            ),
         )
         repo_create_parser.add_argument(
             "--organization", type=str, help="Optional: organization namespace."
         )
         repo_create_parser.add_argument(
             "--space_sdk",
             type=str,
-            help='Optional: Hugging Face Spaces SDK type. Required when --type is set to "space".',
+            help=(
+                "Optional: Hugging Face Spaces SDK type. Required when --type is set to"
+                ' "space".'
+            ),
             choices=SPACES_SDK_TYPES,
         )
         repo_create_parser.add_argument(
@@ -306,8 +318,8 @@ def notebook_login():
         from IPython.display import clear_output, display
     except ImportError:
         raise ImportError(
-            "The `notebook_login` function can only be used in a notebook (Jupyter or Colab) and you need the "
-            "`ipywdidgets` module: `pip install ipywidgets`."
+            "The `notebook_login` function can only be used in a notebook (Jupyter or"
+            " Colab) and you need the `ipywdidgets` module: `pip install ipywidgets`."
         )
 
     box_layout = widgets.Layout(
@@ -392,8 +404,10 @@ def _login(hf_api, username=None, password=None, token=None):
     if "store" not in helpers:
         print(
             ANSI.red(
-                "Authenticated through git-credential store but this isn't the helper defined on your machine.\nYou "
-                "might have to re-authenticate when pushing to the Hugging Face Hub. Run the following command in your "
-                "terminal in case you want to set this credential helper as the default\n\ngit config --global credential.helper store"
+                "Authenticated through git-credential store but this isn't the helper"
+                " defined on your machine.\nYou might have to re-authenticate when"
+                " pushing to the Hugging Face Hub. Run the following command in your"
+                " terminal in case you want to set this credential helper as the"
+                " default\n\ngit config --global credential.helper store"
             )
         )

src/huggingface_hub/file_download.py

@@ -346,7 +346,8 @@ def _request_with_retry(
                 raise err
             else:
                 logger.info(
-                    f"{method} request to {url} timed out, retrying... [{tries/max_retries}]"
+                    f"{method} request to {url} timed out, retrying..."
+                    f" [{tries/max_retries}]"
                 )
                 sleep_time = min(
                     max_wait_time, base_wait_time * 2 ** (tries - 1)
@@ -493,7 +494,8 @@ def cached_download(
         token = HfFolder.get_token()
         if token is None:
             raise EnvironmentError(
-                "You specified use_auth_token=True, but a huggingface token was not found."
+                "You specified use_auth_token=True, but a huggingface token was not"
+                " found."
             )
         headers["authorization"] = f"Bearer {token}"
 
@@ -516,7 +518,8 @@ def cached_download(
             # If we don't have any of those, raise an error.
             if etag is None:
                 raise OSError(
-                    "Distant resource does not have an ETag, we won't be able to reliably ensure reproducibility."
+                    "Distant resource does not have an ETag, we won't be able to"
+                    " reliably ensure reproducibility."
                 )
             # In case of a redirect,
             # save an extra redirect on the request.get call,
@@ -568,14 +571,15 @@ def cached_download(
                 # Notify the user about that
                 if local_files_only:
                     raise ValueError(
-                        "Cannot find the requested files in the cached path and outgoing traffic has been"
-                        " disabled. To enable model look-ups and downloads online, set 'local_files_only'"
-                        " to False."
+                        "Cannot find the requested files in the cached path and"
+                        " outgoing traffic has been disabled. To enable model look-ups"
+                        " and downloads online, set 'local_files_only' to False."
                     )
                 else:
                     raise ValueError(
-                        "Connection error, and we cannot find the requested files in the cached path."
-                        " Please try again or make sure your Internet connection is on."
+                        "Connection error, and we cannot find the requested files in"
+                        " the cached path. Please try again or make sure your Internet"
+                        " connection is on."
                     )
 
     # From now on, etag is not None.

src/huggingface_hub/hf_api.py

@@ -671,8 +671,8 @@ def _validate_or_retrieve_token(
             if self._is_valid_token(name):
                 # TODO(0.6) REMOVE
                 warnings.warn(
-                    f"`{function_name}` now takes `token` as an optional positional argument. "
-                    "Be sure to adapt your code!",
+                    f"`{function_name}` now takes `token` as an optional positional"
+                    " argument. Be sure to adapt your code!",
                     FutureWarning,
                 )
                 token, name = name, token
@@ -899,7 +899,8 @@ def list_models(
         if emissions_thresholds is not None:
             if cardData is None:
                 raise ValueError(
-                    "`emissions_thresholds` were passed without setting `cardData=True`."
+                    "`emissions_thresholds` were passed without setting"
+                    " `cardData=True`."
                 )
             else:
                 return _filter_emissions(res, *emissions_thresholds)
@@ -1458,8 +1459,8 @@ def create_repo(
         if repo_type == "space":
             if space_sdk is None:
                 raise ValueError(
-                    "No space_sdk provided. `create_repo` expects space_sdk to be one of "
-                    f"{SPACES_SDK_TYPES} when repo_type is 'space'`"
+                    "No space_sdk provided. `create_repo` expects space_sdk to be one"
+                    f" of {SPACES_SDK_TYPES} when repo_type is 'space'`"
                 )
             if space_sdk not in SPACES_SDK_TYPES:
                 raise ValueError(
@@ -1689,12 +1690,14 @@ def move_repo(
 
         if len(from_id.split("/")) != 2:
             raise ValueError(
-                f"Invalid repo_id: {from_id}. It should have a namespace (:namespace:/:repo_name:)"
+                f"Invalid repo_id: {from_id}. It should have a namespace"
+                " (:namespace:/:repo_name:)"
             )
 
         if len(to_id.split("/")) != 2:
             raise ValueError(
-                f"Invalid repo_id: {to_id}. It should have a namespace (:namespace:/:repo_name:)"
+                f"Invalid repo_id: {to_id}. It should have a namespace"
+                " (:namespace:/:repo_name:)"
             )
 
         json = {"fromRepo": from_id, "toRepo": to_id, "type": repo_type}
@@ -1710,13 +1713,15 @@ def move_repo(
         except HTTPError as e:
             if r.text:
                 raise HTTPError(
-                    f"{r.status_code} Error Message: {r.text}. For additional documentation "
-                    "please see https://hf.co/docs/hub/main#how-can-i-rename-or-transfer-a-repo."
+                    f"{r.status_code} Error Message: {r.text}. For additional"
+                    " documentation please see"
+                    " https://hf.co/docs/hub/main#how-can-i-rename-or-transfer-a-repo."
                 ) from e
             else:
                 raise e
         logger.info(
-            "Accepted transfer request. You will get an email once this is successfully completed."
+            "Accepted transfer request. You will get an email once this is successfully"
+            " completed."
         )
 
     @_deprecate_positional_args
@@ -1808,8 +1813,8 @@ def upload_file(
         except ValueError:  # if token is invalid or organization token
             if self._is_valid_token(path_or_fileobj):
                 warnings.warn(
-                    "`upload_file` now takes `token` as an optional positional argument. "
-                    "Be sure to adapt your code!",
+                    "`upload_file` now takes `token` as an optional positional"
+                    " argument. Be sure to adapt your code!",
                     FutureWarning,
                 )
                 token, path_or_fileobj, path_in_repo, repo_id = (
@@ -1829,8 +1834,8 @@ def upload_file(
         elif not isinstance(path_or_fileobj, (RawIOBase, BufferedIOBase, bytes)):
             # ^^ Test from: https://stackoverflow.com/questions/44584829/how-to-determine-if-file-is-opened-in-binary-or-text-mode
             raise ValueError(
-                "path_or_fileobj must be either an instance of str or BinaryIO. "
-                "If you passed a fileobj, make sure you've opened the file in binary mode."
+                "path_or_fileobj must be either an instance of str or BinaryIO. If you"
+                " passed a fileobj, make sure you've opened the file in binary mode."
             )
 
         if repo_type in REPO_TYPES_URL_PREFIXES:

src/huggingface_hub/hub_mixin.py

@@ -276,9 +276,10 @@ def push_to_hub(
             token = HfFolder.get_token()
             if token is None:
                 raise ValueError(
-                    "You must login to the Hugging Face hub on this computer by typing `huggingface-cli login` and "
-                    "entering your credentials to use `use_auth_token=True`. Alternatively, you can pass your own "
-                    "token as the `use_auth_token` argument."
+                    "You must login to the Hugging Face hub on this computer by typing"
+                    " `huggingface-cli login` and entering your credentials to use"
+                    " `use_auth_token=True`. Alternatively, you can pass your own token"
+                    " as the `use_auth_token` argument."
                 )
         elif isinstance(use_auth_token, str):
             token = use_auth_token

src/huggingface_hub/inference_api.py

@@ -113,15 +113,18 @@ def __init__(
         model_info = HfApi().model_info(repo_id=repo_id, token=token)
         if not model_info.pipeline_tag and not task:
             raise ValueError(
-                "Task not specified in the repository. Please add it to the model card using pipeline_tag (https://huggingface.co/docs#how-is-a-models-type-of-inference-api-and-widget-determined)"
+                "Task not specified in the repository. Please add it to the model card"
+                " using pipeline_tag"
+                " (https://huggingface.co/docs#how-is-a-models-type-of-inference-api-and-widget-determined)"
             )
 
         if task and task != model_info.pipeline_tag:
             if task not in ALL_TASKS:
                 raise ValueError(f"Invalid task {task}. Make sure it's valid.")
 
             logger.warning(
-                "You're using a different task than the one specified in the repository. Be sure to know what you're doing :)"
+                "You're using a different task than the one specified in the"
+                " repository. Be sure to know what you're doing :)"
             )
             self.task = task
         else:

src/huggingface_hub/keras_mixin.py

@@ -195,7 +195,8 @@ def save_pretrained_keras(
     if config:
         if not isinstance(config, dict):
             raise RuntimeError(
-                f"Provided config to save_pretrained_keras should be a dict. Got: '{type(config)}'"
+                "Provided config to save_pretrained_keras should be a dict. Got:"
+                f" '{type(config)}'"
             )
         path = os.path.join(save_directory, CONFIG_NAME)
         with open(path, "w") as f:
@@ -373,9 +374,10 @@ def push_to_hub_keras(
 
     if token is None:
         raise ValueError(
-            "You must login to the Hugging Face hub on this computer by typing `huggingface-cli login` and "
-            "entering your credentials to use `use_auth_token=True`. Alternatively, you can pass your own "
-            "token as the `use_auth_token` argument."
+            "You must login to the Hugging Face hub on this computer by typing"
+            " `huggingface-cli login` and entering your credentials to use"
+            " `use_auth_token=True`. Alternatively, you can pass your own token as the"
+            " `use_auth_token` argument."
         )
 
     if repo_path_or_name is None: