Ruff 0.9 #15238
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Ruff 0.9 #15238
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|
| code | total | + violation | - violation | + fix | - fix |
|---|---|---|---|---|---|
| A005 | 82 | 82 | 0 | 0 | 0 |
| PYI041 | 80 | 0 | 0 | 80 | 0 |
| PT006 | 49 | 49 | 0 | 0 | 0 |
| RUF032 | 25 | 25 | 0 | 0 | 0 |
| FURB188 | 21 | 21 | 0 | 0 | 0 |
| RUF100 | 15 | 15 | 0 | 0 | 0 |
| RUF008 | 10 | 10 | 0 | 0 | 0 |
| PYI016 | 10 | 0 | 0 | 10 | 0 |
| RUF012 | 6 | 0 | 6 | 0 | 0 |
| RUF009 | 2 | 2 | 0 | 0 | 0 |
| A006 | 2 | 2 | 0 | 0 | 0 |
| RUF034 | 2 | 2 | 0 | 0 | 0 |
| PT007 | 1 | 1 | 0 | 0 | 0 |
| PYI006 | 1 | 1 | 0 | 0 | 0 |
| PLR1716 | 1 | 1 | 0 | 0 | 0 |
Linter (preview)
✅ ecosystem check detected no linter changes.
Formatter (stable)
ℹ️ ecosystem check detected format changes. (+3220 -3659 lines in 973 files in 41 projects; 14 projects unchanged)
DisnakeDev/disnake (+6 -10 lines across 4 files)
disnake/ext/commands/help.py~L952
for command in commands:
name = command.name
width = max_size - (get_width(name) - len(name))
- entry = f'{self.indent * " "}{name:<{width}} {command.short_doc}'
+ entry = f"{self.indent * ' '}{name:<{width}} {command.short_doc}"
self.paginator.add_line(self.shorten_text(entry))
async def send_pages(self) -> None:disnake/ext/commands/help.py~L1199
aliases: Sequence[:class:`str`]
A list of aliases to format.
"""
- self.paginator.add_line(f'**{self.aliases_heading}** {", ".join(aliases)}', empty=True)
+ self.paginator.add_line(f"**{self.aliases_heading}** {', '.join(aliases)}", empty=True)
def add_command_formatting(self, command) -> None:
"""A utility function to format commands and groups. self.scopes: List[str] = data.get("scopes") or []
def __repr__(self) -> str:
- return (
- f"<{self.__class__.__name__} id={self.id}"
- f" name={self.name!r} scopes={self.scopes!r}>"
- )
+ return f"<{self.__class__.__name__} id={self.id} name={self.name!r} scopes={self.scopes!r}>"
def _integration_factory(value: str) -> Tuple[Type[Integration], str]: def set_bandwidth(self, req: BAND_CTL) -> None:
if req not in band_ctl:
raise KeyError(
- f'{req!r} is not a valid bandwidth setting. Try one of: {",".join(band_ctl)}'
+ f"{req!r} is not a valid bandwidth setting. Try one of: {','.join(band_ctl)}"
)
k = band_ctl[req] def set_signal_type(self, req: SIGNAL_CTL) -> None:
if req not in signal_ctl:
raise KeyError(
- f'{req!r} is not a valid bandwidth setting. Try one of: {",".join(signal_ctl)}'
+ f"{req!r} is not a valid bandwidth setting. Try one of: {','.join(signal_ctl)}"
)
k = signal_ctl[req] fallback = cls._probe_codec_fallback
else:
raise TypeError(
- "Expected str or callable for parameter 'probe', "
- f"not '{method.__class__.__name__}'"
+ f"Expected str or callable for parameter 'probe', not '{method.__class__.__name__}'"
)
codec = bitrate = NoneRasaHQ/rasa (+94 -116 lines across 44 files)
.github/tests/test_model_regression_test_read_dataset_branch_tmpl.py~L17
],
)
def test_read_dataset_branch(comment_body_file: Text, expected_dataset_branch: Text):
- cmd = (
- "gomplate "
- f"-d github={TEST_DATA_DIR}/{comment_body_file} "
- f"-f {TEMPLATE_FPATH}"
- )
+ cmd = f"gomplate -d github={TEST_DATA_DIR}/{comment_body_file} -f {TEMPLATE_FPATH}"
output = subprocess.check_output(cmd.split(" "), cwd=REPO_DIR)
output = output.decode("utf-8").strip()
assert output == f'export DATASET_BRANCH="{expected_dataset_branch}"'rasa/cli/arguments/export.py~L9
parser,
default=DEFAULT_ENDPOINTS_PATH,
help_text=(
- "Endpoint configuration file specifying the tracker store "
- "and event broker."
+ "Endpoint configuration file specifying the tracker store and event broker."
),
)
os.makedirs(path)
except (PermissionError, OSError, FileExistsError) as e:
print_error_and_exit(
- f"Failed to create project path at '{path}'. " f"Error: {e}"
+ f"Failed to create project path at '{path}'. Error: {e}"
)
else:
print_success( # Check if a valid setting for `max_history` was given
if isinstance(max_history, int) and max_history < 1:
raise argparse.ArgumentTypeError(
- f"The value of `--max-history {max_history}` " f"is not a positive integer."
+ f"The value of `--max-history {max_history}` is not a positive integer."
)
return validator.verify_story_structure( attempts -= 1
rasa.shared.utils.cli.print_error_and_exit(
- "Could not fetch runtime config from server at '{}'. " "Exiting.".format(
+ "Could not fetch runtime config from server at '{}'. Exiting.".format(
config_endpoint
)
)rasa/core/actions/action.py~L322
if message is None:
if not self.silent_fail:
logger.error(
- "Couldn't create message for response '{}'." "".format(
+ "Couldn't create message for response '{}'.".format(
self.utter_action
)
)rasa/core/actions/action.py~L470
else:
if not self.silent_fail:
logger.error(
- "Couldn't create message for response action '{}'." "".format(
+ "Couldn't create message for response action '{}'.".format(
self.action_name
)
)rasa/core/channels/console.py~L194
exit_text = INTENT_MESSAGE_PREFIX + "stop"
rasa.shared.utils.cli.print_success(
- "Bot loaded. Type a message and press enter " "(use '{}' to exit): ".format(
+ "Bot loaded. Type a message and press enter (use '{}' to exit): ".format(
exit_text
)
)rasa/core/channels/telegram.py~L97
reply_markup.add(KeyboardButton(button["title"]))
else:
logger.error(
- "Trying to send text with buttons for unknown " "button type {}".format(
+ "Trying to send text with buttons for unknown button type {}".format(
button_type
)
) conversation_ids_to_process = await self._get_conversation_ids_to_process()
rasa.shared.utils.cli.print_info(
- f"Fetching events for {len(conversation_ids_to_process)} "
- f"conversation IDs:"
+ f"Fetching events for {len(conversation_ids_to_process)} conversation IDs:"
)
for conversation_id in tqdm(conversation_ids_to_process, "conversation IDs"):
tracker = await self.tracker_store.retrieve_full_tracker(conversation_id) body = nlg_request_format(utter_action, tracker, output_channel, **kwargs)
logger.debug(
- "Requesting NLG for {} from {}." "The request body is {}." "".format(
+ "Requesting NLG for {} from {}.The request body is {}.".format(
utter_action, self.nlg_endpoint.url, json.dumps(body)
)
)rasa/core/policies/policy.py~L250
max_training_samples = kwargs.get("max_training_samples")
if max_training_samples is not None:
logger.debug(
- "Limit training data to {} training samples." "".format(
+ "Limit training data to {} training samples.".format(
max_training_samples
)
)rasa/core/policies/ted_policy.py~L837
# take the last prediction in the sequence
similarities = outputs["similarities"][:, -1, :]
else:
- raise TypeError(
- "model output for `similarities` " "should be a numpy array"
- )
+ raise TypeError("model output for `similarities` should be a numpy array")
if isinstance(outputs["scores"], np.ndarray):
confidences = outputs["scores"][:, -1, :]
else:rasa/core/policies/unexpected_intent_policy.py~L612
if isinstance(output["similarities"], np.ndarray):
sequence_similarities = output["similarities"][:, -1, :]
else:
- raise TypeError(
- "model output for `similarities` " "should be a numpy array"
- )
+ raise TypeError("model output for `similarities` should be a numpy array")
# Check for unlikely intent
last_user_uttered_event = tracker.get_last_event_for(UserUttered) ):
story_dump = YAMLStoryWriter().dumps(partial_tracker.as_story().story_steps)
error_msg = (
- f"Model predicted a wrong action. Failed Story: " f"\n\n{story_dump}"
+ f"Model predicted a wrong action. Failed Story: \n\n{story_dump}"
)
raise WrongPredictionException(error_msg)
elif prev_action_unlikely_intent: for policy_config in policy_configs:
config_name = os.path.splitext(os.path.basename(policy_config))[0]
logging.info(
- "Starting to train {} round {}/{}" " with {}% exclusion" "".format(
+ "Starting to train {} round {}/{} with {}% exclusion".format(
config_name, current_run, len(exclusion_percentages), percentage
)
) domain,
policy_config,
stories=story_file,
- output=str(Path(output_path, f"run_{r +1}")),
+ output=str(Path(output_path, f"run_{r + 1}")),
fixed_model_name=config_name + PERCENTAGE_KEY + str(percentage),
additional_arguments={
**additional_arguments,rasa/core/training/converters/responses_prefix_converter.py~L26
The name of the response, starting with `utter_`.
"""
return (
- f"{UTTER_PREFIX}{action_name[len(OBSOLETE_RESPOND_PREFIX):]}"
+ f"{UTTER_PREFIX}{action_name[len(OBSOLETE_RESPOND_PREFIX) :]}"
if action_name.startswith(OBSOLETE_RESPOND_PREFIX)
else action_name
)rasa/core/training/interactive.py~L346
choices = []
for p in sorted_intents:
name_with_confidence = (
- f'{p.get("confidence"):03.2f} {p.get(INTENT_NAME_KEY):40}'
+ f"{p.get('confidence'):03.2f} {p.get(INTENT_NAME_KEY):40}"
)
choice = {
INTENT_NAME_KEY: name_with_confidence,rasa/core/training/interactive.py~L674
await _print_history(conversation_id, endpoint)
choices = [
- {"name": f'{a["score"]:03.2f} {a["action"]:40}', "value": a["action"]}
+ {"name": f"{a['score']:03.2f} {a['action']:40}", "value": a["action"]}
for a in predictions
]
rasa/core/training/interactive.py~L723
# export training data and quit
questions = questionary.form(
export_stories=questionary.text(
- message="Export stories to (if file exists, this "
- "will append the stories)",
+ message="Export stories to (if file exists, this will append the stories)",
default=PATHS["stories"],
validate=io_utils.file_type_validator(
rasa.shared.data.YAML_FILE_EXTENSIONS,rasa/core/training/interactive.py~L738
default=PATHS["nlu"],
validate=io_utils.file_type_validator(
list(rasa.shared.data.TRAINING_DATA_EXTENSIONS),
- "Please provide a valid export path for the NLU data, "
- "e.g. 'nlu.yml'.",
+ "Please provide a valid export path for the NLU data, e.g. 'nlu.yml'.",
),
),
export_domain=questionary.text(
- message="Export domain file to (if file exists, this "
- "will be overwritten)",
+ message="Export domain file to (if file exists, this will be overwritten)",
default=PATHS["domain"],
validate=io_utils.file_type_validator(
rasa.shared.data.YAML_FILE_EXTENSIONS, """
if use_syslog:
formatter = logging.Formatter(
- "%(asctime)s [%(levelname)-5.5s] [%(process)d]" " %(message)s"
+ "%(asctime)s [%(levelname)-5.5s] [%(process)d] %(message)s"
)
socktype = SOCK_STREAM if syslog_protocol == TCP_PROTOCOL else SOCK_DGRAM
syslog_handler = logging.handlers.SysLogHandler( """
if hot_idx >= length:
raise ValueError(
- "Can't create one hot. Index '{}' is out " "of range (length '{}')".format(
+ "Can't create one hot. Index '{}' is out of range (length '{}')".format(
hot_idx, length
)
) )
rasa.shared.utils.cli.print_success(
- "No training of components required "
- "(the responses might still need updating!)."
+ "No training of components required (the responses might still need updating!)."
)
return TrainingResult(
code=CODE_NO_NEED_TO_TRAIN, dry_run_results=fingerprint_resultsrasa/nlu/featurizers/sparse_featurizer/count_vectors_featurizer.py~L166
)
if self.stop_words is not None:
logger.warning(
- "Analyzer is set to character, "
- "provided stop words will be ignored."
+ "Analyzer is set to character, provided stop words will be ignored."
)
if self.max_ngram == 1:
logger.warning( raise ErrorResponse(
HTTPStatus.BAD_REQUEST,
"BadRequest",
- "Invalid parameter value for 'include_events'. "
- "Should be one of {}".format(enum_values),
+ "Invalid parameter value for 'include_events'. Should be one of {}".format(
+ enum_values
+ ),
{"parameter": "include_events", "in": "query"},
)
rasa/shared/core/domain.py~L198
domain = cls.from_directory(path)
else:
raise InvalidDomain(
- "Failed to load domain specification from '{}'. "
- "File not found!".format(os.path.abspath(path))
+ "Failed to load domain specification from '{}'. File not found!".format(
+ os.path.abspath(path)
+ )
)
return domainrasa/shared/core/events.py~L1964
def __str__(self) -> Text:
"""Returns text representation of event."""
- return (
- "ActionExecutionRejected("
- "action: {}, policy: {}, confidence: {})"
- "".format(self.action_name, self.policy, self.confidence)
+ return "ActionExecutionRejected(action: {}, policy: {}, confidence: {})".format(
+ self.action_name, self.policy, self.confidence
)
def __hash__(self) -> int:rasa/shared/core/generator.py~L401
if num_active_trackers:
logger.debug(
- "Starting {} ... (with {} trackers)" "".format(
+ "Starting {} ... (with {} trackers)".format(
phase_name, num_active_trackers
)
)rasa/shared/core/generator.py~L517
phase = 0
else:
logger.debug(
- "Found {} unused checkpoints " "in current phase." "".format(
+ "Found {} unused checkpoints in current phase.".format(
len(unused_checkpoints)
)
)
logger.debug(
- "Found {} active trackers " "for these checkpoints." "".format(
+ "Found {} active trackers for these checkpoints.".format(
num_active_trackers
)
)rasa/shared/core/generator.py~L553
augmented_trackers, self.config.max_number_of_augmented_trackers
)
logger.debug(
- "Subsampled to {} augmented training trackers." "".format(
+ "Subsampled to {} augmented training trackers.".format(
len(augmented_trackers)
)
)rasa/shared/core/trackers.py~L634
"""
if not isinstance(dialogue, Dialogue):
raise ValueError(
- f"story {dialogue} is not of type Dialogue. "
- f"Have you deserialized it?"
+ f"story {dialogue} is not of type Dialogue. Have you deserialized it?"
)
self._reset()rasa/shared/core/training_data/story_reader/story_reader.py~L83
)
if parsed_events is None:
raise StoryParseError(
- "Unknown event '{}'. It is Neither an event " "nor an action).".format(
+ "Unknown event '{}'. It is Neither an event nor an action).".format(
event_name
)
)rasa/shared/core/training_data/story_reader/yaml_story_reader.py~L334
if not self.domain:
logger.debug(
- "Skipped validating if intent is in domain as domain " "is `None`."
+ "Skipped validating if intent is in domain as domain is `None`."
)
return
rasa/shared/nlu/training_data/formats/dialogflow.py~L34
if fformat not in {DIALOGFLOW_INTENT, DIALOGFLOW_ENTITIES}:
raise ValueError(
- "fformat must be either {}, or {}" "".format(
+ "fformat must be either {}, or {}".format(
DIALOGFLOW_INTENT, DIALOGFLOW_ENTITIES
)
)rasa/shared/nlu/training_data/util.py~L24
ESCAPE_DCT = {"\b": "\\b", "\f": "\\f", "\n": "\\n", "\r": "\\r", "\t": "\\t"}
ESCAPE_CHARS = set(ESCAPE_DCT.keys())
-ESCAPE = re.compile(f'[{"".join(ESCAPE_DCT.values())}]')
+ESCAPE = re.compile(f"[{''.join(ESCAPE_DCT.values())}]")
UNESCAPE_DCT = {espaced_char: char for char, espaced_char in ESCAPE_DCT.items()}
-UNESCAPE = re.compile(f'[{"".join(UNESCAPE_DCT.values())}]')
+UNESCAPE = re.compile(f"[{''.join(UNESCAPE_DCT.values())}]")
GROUP_COMPLETE_MATCH = 0
return f.read()
except FileNotFoundError:
raise FileNotFoundException(
- f"Failed to read file, " f"'{os.path.abspath(filename)}' does not exist."
+ f"Failed to read file, '{os.path.abspath(filename)}' does not exist."
)
except UnicodeDecodeError:
raise FileIOException( """
if not isinstance(path, str):
raise ValueError(
- f"`resource_name` must be a string type. " f"Got `{type(path)}` instead"
+ f"`resource_name` must be a string type. Got `{type(path)}` instead"
)
if os.path.isfile(path): )
except FileNotFoundError:
raise FileNotFoundException(
- f"Failed to read file, " f"'{os.path.abspath(file_path)}' does not exist."
+ f"Failed to read file, '{os.path.abspath(file_path)}' does not exist."
)
access_logger.addHandler(file_handler)
if use_syslog:
formatter = logging.Formatter(
- "%(asctime)s [%(levelname)-5.5s] [%(process)d]" " %(message)s"
+ "%(asctime)s [%(levelname)-5.5s] [%(process)d] %(message)s"
)
socktype = SOCK_STREAM if syslog_protocol == TCP_PROTOCOL else SOCK_DGRAM
syslog_handler = logging.handlers.SysLogHandler( return EndpointConfig.from_dict(content[endpoint_type])
except FileNotFoundError:
logger.error(
- "Failed to read endpoint configuration " "from {}. No such file.".format(
+ "Failed to read endpoint configuration from {}. No such file.".format(
os.path.abspath(filename)
)
)tests/core/test_evaluation.py~L563
True,
],
[
- "data/test_yaml_stories/"
- "test_prediction_with_wrong_intent_wrong_entity.yml",
+ "data/test_yaml_stories/test_prediction_with_wrong_intent_wrong_entity.yml",
False,
False,
],tests/core/test_migrate.py~L971
"responses.yml",
)
- return domain_dir, "Domain files with multiple 'slots' sections were " "provided."
+ return domain_dir, "Domain files with multiple 'slots' sections were provided."
@pytest.mark.parametrize(tests/core/test_tracker_stores.py~L311
assert isinstance(tracker_store, InMemoryTrackerStore)
-async def _tracker_store_and_tracker_with_slot_set() -> (
- Tuple[InMemoryTrackerStore, DialogueStateTracker]
-):
+async def _tracker_store_and_tracker_with_slot_set() -> Tuple[
+ InMemoryTrackerStore, DialogueStateTracker
+]:
# returns an InMemoryTrackerStore containing a tracker with a slot set
slot_key = "cuisine"tests/engine/recipes/test_default_recipe.py~L98
(
"data/test_config/config_pretrained_embeddings_mitie.yml",
"data/graph_schemas/config_pretrained_embeddings_mitie_train_schema.yml",
- "data/graph_schemas/"
- "config_pretrained_embeddings_mitie_predict_schema.yml",
+ "data/graph_schemas/config_pretrained_embeddings_mitie_predict_schema.yml",
TrainingType.BOTH,
False,
),tests/graph_components/validators/test_default_recipe_validator.py~L780
if should_warn:
with pytest.warns(
UserWarning,
- match=(f"'{RulePolicy.__name__}' is not " "included in the model's "),
+ match=(f"'{RulePolicy.__name__}' is not included in the model's "),
) as records:
validator.validate(importer)
else:tests/graph_components/validators/test_default_recipe_validator.py~L883
num_duplicates: bool,
priority: int,
):
- assert (
- len(policy_types) >= priority + num_duplicates
- ), f"This tests needs at least {priority+num_duplicates} many types."
+ assert len(policy_types) >= priority + num_duplicates, (
+ f"This tests needs at least {priority + num_duplicates} many types."
+ )
# start with a schema where node i has priority i
nodes = {tests/graph_components/validators/test_default_recipe_validator.py~L895
# give nodes p+1, .., p+num_duplicates-1 priority "priority"
for idx in range(num_duplicates):
- nodes[f"{priority+idx+1}"].config["priority"] = priority
+ nodes[f"{priority + idx + 1}"].config["priority"] = priority
validator = DefaultV1RecipeValidator(graph_schema=GraphSchema(nodes))
monkeypatch.setattr(tests/graph_components/validators/test_default_recipe_validator.py~L992
with pytest.warns(
UserWarning,
match=(
- "Found rule-based training data but no policy "
- "supporting rule-based data."
+ "Found rule-based training data but no policy supporting rule-based data."
),
):
validator.validate(importer)tests/nlu/featurizers/test_count_vectors_featurizer.py~L772
@pytest.mark.parametrize(
- "initial_train_text, additional_train_text, " "use_shared_vocab",
+ "initial_train_text, additional_train_text, use_shared_vocab",
[("am I the coolest person?", "no", True), ("rasa rasa", "sara sara", False)],
)
def test_use_shared_vocab_exception(tests/nlu/featurizers/test_regex_featurizer.py~L44
@pytest.mark.parametrize(
- "sentence, expected_sequence_features, expected_sentence_features,"
- "labeled_tokens",
+ "sentence, expected_sequence_features, expected_sentence_features,labeled_tokens",
[
(
"hey how are you today",tests/nlu/featurizers/test_regex_featurizer.py~L219
@pytest.mark.parametrize(
- "sentence, expected_sequence_features, expected_sentence_features, "
- "labeled_tokens",
+ "sentence, expected_sequence_features, expected_sentence_features, labeled_tokens",
[
(
"lemonade and mapo tofu",tests/nlu/featurizers/test_regex_featurizer.py~L383
@pytest.mark.parametrize(
- "sentence, expected_sequence_features, expected_sentence_features,"
- "case_sensitive",
+ "sentence, expected_sequence_features, expected_sentence_features,case_sensitive",
[
("Hey How are you today", [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], True),
("Hey How are you today", [0.0, 1.0, 0.0], [0.0, 1.0, 0.0], False),tests/nlu/featurizers/test_spacy_featurizer.py~L133
vecs = ftr._features_for_doc(doc)
vecs_capitalized = ftr._features_for_doc(doc_capitalized)
- assert np.allclose(
- vecs, vecs_capitalized, atol=1e-5
- ), "Vectors are unequal for texts '{}' and '{}'".format(
- e.get(TEXT), e.get(TEXT).capitalize()
+ assert np.allclose(vecs, vecs_capitalized, atol=1e-5), (
+ "Vectors are unequal for texts '{}' and '{}'".format(
+ e.get(TEXT), e.get(TEXT).capitalize()
+ )
)
# publicly available anymore
# (see https://github.com/RasaHQ/rasa/issues/6806)
continue
- assert (
- cls.__name__ in all_components
- ), "`all_components` template is missing component."
+ assert cls.__name__ in all_components, (
+ "`all_components` template is missing component."
+ )
@pytest.mark.timeout(600, func_only=True)tests/shared/core/test_events.py~L87
)
def test_event_has_proper_implementation(one_event, another_event):
# equals tests
- assert (
- one_event != another_event
- ), "Same events with different values need to be different"
+ assert one_event != another_event, (
+ "Same events with different values need to be different"
+ )
assert one_event == copy.deepcopy(one_event), "Event copies need to be the same"
assert one_event != 42, "Events aren't equal to 42!"
# hash test
- assert hash(one_event) == hash(
- copy.deepcopy(one_event)
- ), "Same events should have the same hash"
- assert hash(one_event) != hash(
- another_event
- ), "Different events should have different hashes"
+ assert hash(one_event) == hash(copy.deepcopy(one_event)), (
+ "Same events should have the same hash"
+ )
+ assert hash(one_event) != hash(another_event), (
+ "Different events should have different hashes"
+ )
# str test
assert "object at 0x" not in str(one_event), "Event has a proper str method"tests/shared/core/test_slots.py~L52
value, expected = value_feature_pair
slot.value = value
assert slot.as_feature() == expected
- assert (
- len(slot.as_feature()) == slot.feature_dimensionality()
- ), "Wrong feature dimensionality"
+ assert len(slot.as_feature()) == slot.feature_dimensionality(), (
+ "Wrong feature dimensionality"
+ )
# now reset the slot to get initial value again
slot.reset()
- assert (
- slot.value == slot.initial_value
- ), "Slot should be reset to its initial value"
+ assert slot.value == slot.initial_value, (
+ "Slot should be reset to its initial value"
+ )
def test_empty_slot_featurization(self, mappings: List[Dict[Text, Any]]):
slot = self.create_slot(mappings=mappings, influence_conversation=True)
- assert (
- slot.value == slot.initial_value
- ), "An empty slot should be set to the initial value"
+ assert slot.value == slot.initial_value, (
+ "An empty slot should be set to the initial value"
+ )
assert len(slot.as_feature()) == slot.feature_dimensionality()
def test_featurization_if_marked_as_unfeaturized(tests/shared/core/training_data/test_graph.py~L10
for n in sorted_nodes:
deps = incoming_edges.get(n, [])
# checks that all incoming edges are from nodes we have already visited
- assert all(
- [d in visited or (d, n) in removed_edges for d in deps]
- ), "Found an incoming edge from a node that wasn't visited yet!"
+ assert all([d in visited or (d, n) in removed_edges for d in deps]), (
+ "Found an incoming edge from a node that wasn't visited yet!"
+ )
visited.add(n)
Snowflake-Labs/snowcli (+52 -50 lines across 17 files)
src/snowflake/cli/_plugins/connection/commands.py~L334
"Host": conn.host,
"Account": conn.account,
"User": conn.user,
- "Role": f'{conn.role or "not set"}',
- "Database": f'{conn.database or "not set"}',
- "Warehouse": f'{conn.warehouse or "not set"}',
+ "Role": f"{conn.role or 'not set'}",
+ "Database": f"{conn.database or 'not set'}",
+ "Warehouse": f"{conn.warehouse or 'not set'}",
}
if conn_ctx.enable_diag:src/snowflake/cli/_plugins/nativeapp/artifacts.py~L250
def __init__(self, *, project_root: Path, deploy_root: Path):
# If a relative path ends up here, it's a bug in the app and can lead to other
# subtle bugs as paths would be resolved relative to the current working directory.
- assert (
- project_root.is_absolute()
- ), f"Project root {project_root} must be an absolute path."
- assert (
- deploy_root.is_absolute()
- ), f"Deploy root {deploy_root} must be an absolute path."
+ assert project_root.is_absolute(), (
+ f"Project root {project_root} must be an absolute path."
+ )
+ assert deploy_root.is_absolute(), (
+ f"Deploy root {deploy_root} must be an absolute path."
+ )
self._project_root: Path = resolve_without_follow(project_root)
self._deploy_root: Path = resolve_without_follow(deploy_root)src/snowflake/cli/_plugins/nativeapp/codegen/snowpark/python_processor.py~L433
create_query += f"\nEXTERNAL_ACCESS_INTEGRATIONS=({', '.join(ensure_all_string_literals(extension_fn.external_access_integrations))})"
if extension_fn.secrets:
- create_query += f"""\nSECRETS=({', '.join([f"{ensure_string_literal(k)}={v}" for k, v in extension_fn.secrets.items()])})"""
+ create_query += f"""\nSECRETS=({", ".join([f"{ensure_string_literal(k)}={v}" for k, v in extension_fn.secrets.items()])})"""
create_query += f"\nHANDLER={ensure_string_literal(extension_fn.handler)}"
src/snowflake/cli/_plugins/stage/manager.py~L106
def get_standard_stage_path(self) -> str:
path = self.get_full_stage_path(self.path)
- return f"@{path}{'/'if self.is_directory and not path.endswith('/') else ''}"
+ return f"@{path}{'/' if self.is_directory and not path.endswith('/') else ''}"
def get_standard_stage_directory_path(self) -> str:
path = self.get_standard_stage_path()src/snowflake/cli/api/project/schemas/project_d...[Comment body truncated]
…15329) Stabilise [`slice-to-remove-prefix-or-suffix`](https://docs.astral.sh/ruff/rules/slice-to-remove-prefix-or-suffix/) (`FURB188`) for the Ruff 0.9 release. This is a stylistic rule, but I think it's a pretty uncontroversial one. There are no open issues or PRs regarding it and it's been in preview for a while now.
…ze` calls" (`PT006`) (#15327) Co-authored-by: Micha Reiser <[email protected]> Resolves #15324. Stabilizes the behavior changes introduced in #14515.
…e-union-members` (`PYI016`) (#15342)
|
I think the f-string docs commit (#15341) got removed in the latest rebase. I'll open a new PR for that. |
This was referenced Jan 9, 2025
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Summary
Feature branch for Ruff 0.9
Future me: Make sure to rebase merge this PR!
Changelog
slice-to-remove-prefix-or-suffix(FURB188) #15329decimal-from-float-literal(RUF032) #15333flake8-pytest-style] Stabilize "Detect morepytest.mark.parametrizecalls" (PT006) #15327pycodestyle] Stabilize: Exemptpytest.importorskipcalls (E402) #15338flake8-builtinsrules #15322pytest-parametrize-names-wrong-type(PT006) to edit both argnames and argvalues if both of them are single-element tuples/lists (Fixpytest-parametrize-names-wrong-type (PT006)to edit bothargnamesandargvaluesif both of them are single-element tuples/lists #14699)flake8-pyi] Stabilize autofix forredundant-numeric-union(PYI041) #15343ruff] Stabilize: Detectattrsdataclasses (RUF008,RUF009) #15345flake8-pyi]: Stabilize: Provide more automated fixes forduplicate-union-members(PYI016) #15342flake8-pyi] Stabilize: include all python file types forPYI006#15340ruff] Stabilizepost-init-default(RUF033) #15352pylint]: Stabilizeboolean-chained-comparison(PLR1716) #15354ruff] Stabilizeuseless-if-else(RUF034) #15351TODOs
flake8-builtinsrules (comment)flake8-builtins] RenameA005and improve its error message #15348