From e2365d466944c989752b18312a01223b85d74171 Mon Sep 17 00:00:00 2001 From: Edwin Pavlovsky Date: Wed, 29 Apr 2026 11:37:30 -0400 Subject: [PATCH 01/19] Drop support for python3.7, python3.8, and python3.9 --- .circleci/config.yml | 6 +- poetry.lock | 5740 ++++++++++++++++++++++++------------------ pyproject.toml | 18 +- 3 files changed, 3370 insertions(+), 2394 deletions(-) diff --git a/.circleci/config.yml b/.circleci/config.yml index 39b4a845..a2a0d37f 100644 --- a/.circleci/config.yml +++ b/.circleci/config.yml @@ -10,7 +10,7 @@ jobs: docker: # Important: Don't change this otherwise we will stop testing the earliest # python version we have to support. - - image: python:3.7-bullseye + - image: python:3.10-bullseye resource_class: medium parallelism: 6 steps: @@ -77,7 +77,7 @@ jobs: pypi_publish: docker: - - image: cimg/python:3.7 + - image: cimg/python:3.10 steps: - checkout # checkout source code to working directory - run: @@ -156,7 +156,7 @@ workflows: - 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platform_python_implementation != \"PyPy\""] - -[[package]] -name = "zipp" -version = "3.23.0" +version = "3.23.1" description = "Backport of pathlib-compatible object wrapper for zip files" optional = false python-versions = ">=3.9" groups = ["main"] -markers = "python_version >= \"3.10\"" files = [ - {file = "zipp-3.23.0-py3-none-any.whl", hash = "sha256:071652d6115ed432f5ce1d34c336c0adfd6a884660d1e9712a256d3d3bd4b14e"}, - {file = "zipp-3.23.0.tar.gz", hash = "sha256:a07157588a12518c9d4034df3fbbee09c814741a33ff63c05fa29d26a2404166"}, + {file = "zipp-3.23.1-py3-none-any.whl", hash = "sha256:0b3596c50a5c700c9cb40ba8d86d9f2cc4807e9bedb06bcdf7fac85633e444dc"}, + {file = "zipp-3.23.1.tar.gz", hash = "sha256:32120e378d32cd9714ad503c1d024619063ec28aad2248dc6672ad13edfa5110"}, ] [package.extras] @@ -4716,5 +5692,5 @@ metrics = ["Shapely", "rasterio", "scikit-learn", "scipy"] [metadata] lock-version = "2.1" -python-versions = ">=3.7,<4.0" -content-hash = "10455872fa76837ef5ae0f627dc6cec6f9ba6efa3cf9c51f67f09530c85a47ca" +python-versions = ">=3.10,<4.0" +content-hash = "bf04ddba562b921563949f9a71310eca65c5c2f99de1eec11dc78beb6311631b" diff --git a/pyproject.toml b/pyproject.toml index ba785688..bf56d032 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [tool.black] line-length = 79 -target-version = ['py38'] +target-version = ['py310'] include = '\.pyi?$' exclude = ''' ( @@ -36,13 +36,13 @@ documentation = "https://dashboard.scale.com/nucleus/docs/api" packages = [{include="nucleus"}, {include="cli"}] [tool.poetry.dependencies] -python = ">=3.7,<4.0" -requests = "^2.23.0" +python = ">=3.10,<4.0" +requests = "^2.32" tqdm = "^4.41.0" -aiohttp = "^3.7.4" +aiohttp = "^3.10" nest-asyncio = "^1.5.1" pydantic = ">=1.8.2" -numpy = [{ version = ">=1.19.5", python = ">=3.7,<3.10" }, { version = ">=1.22.0", python = ">=3.10"}] +numpy = ">=1.22.0" scipy = { version=">=1.4.1", optional = true } # NOTE: COLAB has 1.4.1 and has problems updating click = ">=7.1.2,<9.0" # NOTE: COLAB has 7.1.2 and has problems updating rich = ">=10.15.2" @@ -50,16 +50,16 @@ shellingham = "^1.4.0" scikit-learn = { version =">=0.24.0", optional = true } Shapely = { version = ">=1.8.0", optional = true } rasterio = { version = ">=1.2.0", optional = true } -Pillow = ">=7.1.2" -scale-launch = { version = ">=0.1.0", python = ">=3.7,<4.0", optional = true} +Pillow = ">=12.2.0,<13" +scale-launch = { version = ">=0.1.0", python = ">=3.10,<4.0", optional = true} questionary = "^1.10.0" python-dateutil = "^2.8.2" -boto3 = "^1.28.56" +boto3 = "^1.42" importlib-metadata = ">=4.6" [tool.poetry.group.dev.dependencies] pytest = [ - { version = ">=7.1.1", python = ">=3.7,<4.0" } + { version = ">=7.1.1", python = ">=3.10,<4.0" } ] pylint = ">=2.7.4" black = "^23.3.0" From 1633946cbe7c666b018dac404a2882358ddd0a85 Mon Sep 17 00:00:00 2001 From: Edwin Pavlovsky Date: Wed, 29 Apr 2026 11:37:49 -0400 Subject: [PATCH 02/19] Apply black reformating --- cli/client.py | 4 +- conftest.py | 17 +++- nucleus/__init__.py | 12 +-- nucleus/annotation.py | 4 +- nucleus/annotation_uploader.py | 4 +- nucleus/connection.py | 15 +++- nucleus/dataset.py | 14 +++- nucleus/slice.py | 4 +- nucleus/validate/client.py | 11 ++- tests/cli/conftest.py | 8 +- tests/test_annotation.py | 44 +++++++---- tests/test_dataset.py | 16 ++-- tests/test_deduplication.py | 139 ++++++++++++++++++++++++--------- tests/test_indexing.py | 16 +++- tests/test_prediction.py | 13 +-- tests/test_slice.py | 21 ++--- 16 files changed, 239 insertions(+), 103 deletions(-) diff --git a/cli/client.py b/cli/client.py index 5d0f0067..0e94b3f7 100644 --- a/cli/client.py +++ b/cli/client.py @@ -19,7 +19,9 @@ def init_client(): "Please set only one." ) if api_key or limited_access_key: - client = nucleus.NucleusClient(api_key=api_key, limited_access_key=limited_access_key) + client = nucleus.NucleusClient( + api_key=api_key, limited_access_key=limited_access_key + ) else: raise RuntimeError( "Set NUCLEUS_API_KEY or NUCLEUS_LIMITED_ACCESS_KEY" diff --git a/conftest.py b/conftest.py index f5d9bcb5..5717c4d7 100644 --- a/conftest.py +++ b/conftest.py @@ -11,13 +11,24 @@ if TYPE_CHECKING: from nucleus import NucleusClient -assert "NUCLEUS_PYTEST_API_KEY" in os.environ or "NUCLEUS_PYTEST_LIMITED_ACCESS_KEY" in os.environ, ( +assert ( + "NUCLEUS_PYTEST_API_KEY" in os.environ + or "NUCLEUS_PYTEST_LIMITED_ACCESS_KEY" in os.environ +), ( "You must set at least one of 'NUCLEUS_PYTEST_API_KEY' or " "'NUCLEUS_PYTEST_LIMITED_ACCESS_KEY' environment variables to run the test suite" ) -API_KEY = os.environ.get("NUCLEUS_PYTEST_API_KEY") if "NUCLEUS_PYTEST_API_KEY" in os.environ else None -LIMITED_ACCESS_KEY = os.environ.get("NUCLEUS_PYTEST_LIMITED_ACCESS_KEY") if "NUCLEUS_PYTEST_LIMITED_ACCESS_KEY" in os.environ else None +API_KEY = ( + os.environ.get("NUCLEUS_PYTEST_API_KEY") + if "NUCLEUS_PYTEST_API_KEY" in os.environ + else None +) +LIMITED_ACCESS_KEY = ( + os.environ.get("NUCLEUS_PYTEST_LIMITED_ACCESS_KEY") + if "NUCLEUS_PYTEST_LIMITED_ACCESS_KEY" in os.environ + else None +) @pytest.fixture(scope="session") diff --git a/nucleus/__init__.py b/nucleus/__init__.py index 7420a255..2720ec59 100644 --- a/nucleus/__init__.py +++ b/nucleus/__init__.py @@ -244,8 +244,12 @@ def __init__( self.extra_headers: Dict[str, str] = {} if limited_access_key: self.extra_headers["x-limited-access-key"] = limited_access_key - self.connection = Connection(self.api_key, self.endpoint, extra_headers=self.extra_headers) - self.validate = Validate(self.api_key, self.endpoint, extra_headers=self.extra_headers) + self.connection = Connection( + self.api_key, self.endpoint, extra_headers=self.extra_headers + ) + self.validate = Validate( + self.api_key, self.endpoint, extra_headers=self.extra_headers + ) def __repr__(self): return f"NucleusClient(api_key='{self.api_key}', use_notebook={self._use_notebook}, endpoint='{self.endpoint}')" @@ -1252,9 +1256,7 @@ def make_request( def _set_api_key(self, api_key): """Fetch API key from environment variable NUCLEUS_API_KEY if not set""" - api_key = ( - api_key if api_key else os.environ.get("NUCLEUS_API_KEY") - ) + api_key = api_key if api_key else os.environ.get("NUCLEUS_API_KEY") if api_key is None: raise NoAPIKey() diff --git a/nucleus/annotation.py b/nucleus/annotation.py index ad352dd1..431396e3 100644 --- a/nucleus/annotation.py +++ b/nucleus/annotation.py @@ -1083,7 +1083,9 @@ class AnnotationList: default_factory=list ) cuboid_annotations: List[CuboidAnnotation] = field(default_factory=list) - category_annotations: List[CategoryAnnotation] = field(default_factory=list) + category_annotations: List[CategoryAnnotation] = field( + default_factory=list + ) multi_category_annotations: List[MultiCategoryAnnotation] = field( default_factory=list ) diff --git a/nucleus/annotation_uploader.py b/nucleus/annotation_uploader.py index 2b95bbdf..fe97f085 100644 --- a/nucleus/annotation_uploader.py +++ b/nucleus/annotation_uploader.py @@ -176,7 +176,9 @@ def get_form_data_and_file_pointers_fn( """ def fn(): - request_json = construct_segmentation_payload(segmentations, update) + request_json = construct_segmentation_payload( + segmentations, update + ) form_data = [ FileFormField( name=SERIALIZED_REQUEST_KEY, diff --git a/nucleus/connection.py b/nucleus/connection.py index 35a5faeb..467600a9 100644 --- a/nucleus/connection.py +++ b/nucleus/connection.py @@ -13,7 +13,12 @@ class Connection: """Wrapper of HTTP requests to the Nucleus endpoint.""" - def __init__(self, api_key: Optional[str] = None, endpoint: Optional[str] = None, extra_headers: Optional[dict] = None): + def __init__( + self, + api_key: Optional[str] = None, + endpoint: Optional[str] = None, + extra_headers: Optional[dict] = None, + ): self.api_key = api_key self.endpoint = endpoint self.extra_headers = extra_headers or {} @@ -24,7 +29,9 @@ def __init__(self, api_key: Optional[str] = None, endpoint: Optional[str] = None "Cannot use both api key and limited access key simultaneously." ) # Require at least one auth mechanism: Basic (api_key) or limited access header - if self.api_key is None and not self.extra_headers.get("x-limited-access-key"): + if self.api_key is None and not self.extra_headers.get( + "x-limited-access-key" + ): raise NoAPIKey() def __repr__(self): @@ -74,7 +81,9 @@ def make_request( for retry_wait_time in RetryStrategy.sleep_times(): auth_kwargs = ( - {"auth": (self.api_key, "")} if self.api_key is not None else {} + {"auth": (self.api_key, "")} + if self.api_key is not None + else {} ) response = requests_command( endpoint, diff --git a/nucleus/dataset.py b/nucleus/dataset.py index d5707923..0a2bcdb5 100644 --- a/nucleus/dataset.py +++ b/nucleus/dataset.py @@ -334,7 +334,8 @@ def items(self) -> List[DatasetItem]: dataset_item_jsons = response.get(DATASET_ITEMS_KEY, None) return [ - DatasetItem.from_json(item_json) for item_json in dataset_item_jsons + DatasetItem.from_json(item_json) + for item_json in dataset_item_jsons ] @property @@ -701,7 +702,9 @@ def append( asynchronous ), "In order to avoid timeouts, you must set asynchronous=True when uploading videos." - return self._append_video_scenes(video_scenes, update, asynchronous) + return self._append_video_scenes( + video_scenes, update, asynchronous + ) if len(dataset_items) > WARN_FOR_LARGE_UPLOAD and not asynchronous: print( @@ -1640,7 +1643,7 @@ def items_and_annotation_generator( query: Optional[str] = None, use_mirrored_images: bool = False, only_most_recent_tasks: bool = True, - page_size=10000 + page_size=10000, ) -> Iterable[Dict[str, Union[DatasetItem, Dict[str, List[Annotation]]]]]: """Provides a generator of all DatasetItems and Annotations in the dataset. @@ -2481,7 +2484,10 @@ def add_items_from_dir( ) if len(items) > 0: - if len(items) > GLOB_SIZE_THRESHOLD_CHECK and not skip_size_warning: + if ( + len(items) > GLOB_SIZE_THRESHOLD_CHECK + and not skip_size_warning + ): raise Exception( f"Found over {GLOB_SIZE_THRESHOLD_CHECK} items in {dirname}. If this is intended," f" set skip_size_warning=True when calling this function." diff --git a/nucleus/slice.py b/nucleus/slice.py index de652c1f..49b921aa 100644 --- a/nucleus/slice.py +++ b/nucleus/slice.py @@ -168,7 +168,9 @@ def created_at(self) -> Optional[datetime.datetime]: @property def pending_job_count(self) -> Optional[int]: if self._pending_job_count is None: - self._pending_job_count = self.info().get("pending_job_count", None) + self._pending_job_count = self.info().get( + "pending_job_count", None + ) return self._pending_job_count @classmethod diff --git a/nucleus/validate/client.py b/nucleus/validate/client.py index 1a35e909..72a76b26 100644 --- a/nucleus/validate/client.py +++ b/nucleus/validate/client.py @@ -25,8 +25,15 @@ class Validate: """Model CI Python Client extension.""" - def __init__(self, api_key: Optional[str], endpoint: str, extra_headers: Optional[dict] = None): - self.connection = Connection(api_key, endpoint, extra_headers=extra_headers) + def __init__( + self, + api_key: Optional[str], + endpoint: str, + extra_headers: Optional[dict] = None, + ): + self.connection = Connection( + api_key, endpoint, extra_headers=extra_headers + ) def __repr__(self): return f"Validate(connection='{self.connection}')" diff --git a/tests/cli/conftest.py b/tests/cli/conftest.py index d18d6e8d..6a5dc13b 100644 --- a/tests/cli/conftest.py +++ b/tests/cli/conftest.py @@ -10,9 +10,13 @@ if NUCLEUS_PYTEST_API_KEY is not None: os.environ["NUCLEUS_API_KEY"] = NUCLEUS_PYTEST_API_KEY -NUCLEUS_PYTEST_LIMITED_ACCESS_KEY = os.environ.get("NUCLEUS_PYTEST_LIMITED_ACCESS_KEY") +NUCLEUS_PYTEST_LIMITED_ACCESS_KEY = os.environ.get( + "NUCLEUS_PYTEST_LIMITED_ACCESS_KEY" +) if NUCLEUS_PYTEST_LIMITED_ACCESS_KEY is not None: - os.environ["NUCLEUS_PYTEST_LIMITED_ACCESS_KEY"] = NUCLEUS_PYTEST_LIMITED_ACCESS_KEY + os.environ[ + "NUCLEUS_PYTEST_LIMITED_ACCESS_KEY" + ] = NUCLEUS_PYTEST_LIMITED_ACCESS_KEY @pytest.fixture diff --git a/tests/test_annotation.py b/tests/test_annotation.py index 64c56afd..cfb19d38 100644 --- a/tests/test_annotation.py +++ b/tests/test_annotation.py @@ -193,7 +193,9 @@ def test_polygon_gt_upload(dataset): assert response["annotations_processed"] == 1 assert response["annotations_ignored"] == 0 - response = dataset.refloc(annotation.reference_id)["annotations"]["polygon"] + response = dataset.refloc(annotation.reference_id)["annotations"][ + "polygon" + ] assert len(response) == 1 response_annotation = response[0] assert_polygon_annotation_matches_dict( @@ -448,7 +450,9 @@ def test_polygon_gt_upload_update(dataset): annotation_update_params["reference_id"] = TEST_POLYGON_ANNOTATIONS[0][ "reference_id" ] - annotation_update_params["task_id"] = TEST_POLYGON_ANNOTATIONS[0]["task_id"] + annotation_update_params["task_id"] = TEST_POLYGON_ANNOTATIONS[0][ + "task_id" + ] annotation_update = PolygonAnnotation.from_json(annotation_update_params) response = dataset.annotate(annotations=[annotation_update], update=True) @@ -456,7 +460,9 @@ def test_polygon_gt_upload_update(dataset): assert response["annotations_processed"] == 1 assert response["annotations_ignored"] == 0 - response = dataset.refloc(annotation.reference_id)["annotations"]["polygon"] + response = dataset.refloc(annotation.reference_id)["annotations"][ + "polygon" + ] assert len(response) == 1 response_annotation = response[0] assert_polygon_annotation_matches_dict( @@ -479,7 +485,9 @@ def test_polygon_gt_upload_ignore(dataset): annotation_update_params["reference_id"] = TEST_POLYGON_ANNOTATIONS[0][ "reference_id" ] - annotation_update_params["task_id"] = TEST_POLYGON_ANNOTATIONS[0]["task_id"] + annotation_update_params["task_id"] = TEST_POLYGON_ANNOTATIONS[0][ + "task_id" + ] annotation_update = PolygonAnnotation.from_json(annotation_update_params) # Default behavior is ignore. @@ -488,7 +496,9 @@ def test_polygon_gt_upload_ignore(dataset): assert response["annotations_processed"] == 0 assert response["annotations_ignored"] == 1 - response = dataset.refloc(annotation.reference_id)["annotations"]["polygon"] + response = dataset.refloc(annotation.reference_id)["annotations"][ + "polygon" + ] assert len(response) == 1 response_annotation = response[0] assert_polygon_annotation_matches_dict( @@ -567,9 +577,9 @@ def test_default_category_gt_upload_update(dataset): # Copy so we don't modify the original. annotation_update_params = dict(TEST_DEFAULT_CATEGORY_ANNOTATIONS[1]) - annotation_update_params["reference_id"] = ( - TEST_DEFAULT_CATEGORY_ANNOTATIONS[0]["reference_id"] - ) + annotation_update_params[ + "reference_id" + ] = TEST_DEFAULT_CATEGORY_ANNOTATIONS[0]["reference_id"] annotation_update = CategoryAnnotation.from_json(annotation_update_params) response = dataset.annotate(annotations=[annotation_update], update=True) @@ -597,9 +607,9 @@ def test_default_category_gt_upload_ignore(dataset): # Copy so we don't modify the original. annotation_update_params = dict(TEST_DEFAULT_CATEGORY_ANNOTATIONS[1]) - annotation_update_params["reference_id"] = ( - TEST_DEFAULT_CATEGORY_ANNOTATIONS[0]["reference_id"] - ) + annotation_update_params[ + "reference_id" + ] = TEST_DEFAULT_CATEGORY_ANNOTATIONS[0]["reference_id"] annotation_update = CategoryAnnotation.from_json(annotation_update_params) # Default behavior is ignore. @@ -693,9 +703,9 @@ def test_default_multicategory_gt_upload_update(dataset): # Copy so we don't modify the original. annotation_update_params = dict(TEST_DEFAULT_MULTICATEGORY_ANNOTATIONS[1]) - annotation_update_params["reference_id"] = ( - TEST_DEFAULT_MULTICATEGORY_ANNOTATIONS[0]["reference_id"] - ) + annotation_update_params[ + "reference_id" + ] = TEST_DEFAULT_MULTICATEGORY_ANNOTATIONS[0]["reference_id"] annotation_update = MultiCategoryAnnotation.from_json( annotation_update_params @@ -725,9 +735,9 @@ def test_default_multicategory_gt_upload_ignore(dataset): # Copy so we don't modify the original. annotation_update_params = dict(TEST_DEFAULT_MULTICATEGORY_ANNOTATIONS[1]) - annotation_update_params["reference_id"] = ( - TEST_DEFAULT_MULTICATEGORY_ANNOTATIONS[0]["reference_id"] - ) + annotation_update_params[ + "reference_id" + ] = TEST_DEFAULT_MULTICATEGORY_ANNOTATIONS[0]["reference_id"] annotation_update = MultiCategoryAnnotation.from_json( annotation_update_params diff --git a/tests/test_dataset.py b/tests/test_dataset.py index bc567653..61e44ada 100644 --- a/tests/test_dataset.py +++ b/tests/test_dataset.py @@ -309,9 +309,9 @@ def test_dataset_append_async(dataset: Dataset): def test_dataset_append_async_with_local_path(dataset: Dataset): ds_items = make_dataset_items() - ds_items[0].image_location = ( - "/a/fake/local/path/you/can/tell/is/local/but/is/fake" - ) + ds_items[ + 0 + ].image_location = "/a/fake/local/path/you/can/tell/is/local/but/is/fake" with pytest.raises(ValueError): dataset.append(ds_items, asynchronous=True) @@ -354,7 +354,8 @@ def test_raises_error_for_duplicate(): ] ) assert ( - str(error.value) == "Duplicate reference IDs found among dataset_items:" + str(error.value) + == "Duplicate reference IDs found among dataset_items:" " {'duplicate': 'Count: 2'}" ) @@ -479,7 +480,9 @@ def sort_labelmap(segmentation_annotation): exported[0][ANNOTATIONS_KEY][SEGMENTATION_TYPE] ) == sort_labelmap(clear_fields(segmentation_annotation)) assert exported[0][ANNOTATIONS_KEY][POLYGON_TYPE][0] == polygon_annotation - assert exported[0][ANNOTATIONS_KEY][CATEGORY_TYPE][0] == category_annotation + assert ( + exported[0][ANNOTATIONS_KEY][CATEGORY_TYPE][0] == category_annotation + ) exported[0][ANNOTATIONS_KEY][MULTICATEGORY_TYPE][0].labels = set( exported[0][ANNOTATIONS_KEY][MULTICATEGORY_TYPE][0].labels ) @@ -532,7 +535,8 @@ def test_dataset_item_iterator(dataset): dataset.append(items) expected_items = {item.reference_id: item for item in dataset.items} actual_items = { - item.reference_id: item for item in dataset.items_generator(page_size=1) + item.reference_id: item + for item in dataset.items_generator(page_size=1) } for key in expected_items: assert actual_items[key] == expected_items[key] diff --git a/tests/test_deduplication.py b/tests/test_deduplication.py index 857cd126..5e4d45d8 100644 --- a/tests/test_deduplication.py +++ b/tests/test_deduplication.py @@ -18,19 +18,25 @@ def test_deduplicate_empty_reference_ids_raises_error(): fake_dataset = Dataset("fake", NucleusClient("fake")) with pytest.raises(ValueError, match="reference_ids cannot be empty"): - fake_dataset.deduplicate(threshold=DEDUP_DEFAULT_TEST_THRESHOLD, reference_ids=[]) + fake_dataset.deduplicate( + threshold=DEDUP_DEFAULT_TEST_THRESHOLD, reference_ids=[] + ) def test_deduplicate_by_ids_empty_list_raises_error(): fake_dataset = Dataset("fake", NucleusClient("fake")) with pytest.raises(ValueError, match="dataset_item_ids must be non-empty"): - fake_dataset.deduplicate_by_ids(threshold=DEDUP_DEFAULT_TEST_THRESHOLD, dataset_item_ids=[]) + fake_dataset.deduplicate_by_ids( + threshold=DEDUP_DEFAULT_TEST_THRESHOLD, dataset_item_ids=[] + ) @pytest.fixture(scope="module") def dataset_image_sync(CLIENT): """Image dataset uploaded synchronously.""" - ds = CLIENT.create_dataset(TEST_DATASET_NAME + " dedup sync", is_scene=False) + ds = CLIENT.create_dataset( + TEST_DATASET_NAME + " dedup sync", is_scene=False + ) try: ds.append(TEST_DATASET_ITEMS) yield ds @@ -41,7 +47,9 @@ def dataset_image_sync(CLIENT): @pytest.fixture(scope="module") def dataset_image_async(CLIENT): """Image dataset uploaded asynchronously.""" - ds = CLIENT.create_dataset(TEST_DATASET_NAME + " dedup async", is_scene=False) + ds = CLIENT.create_dataset( + TEST_DATASET_NAME + " dedup async", is_scene=False + ) try: job = ds.append(TEST_DATASET_ITEMS, asynchronous=True) job.sleep_until_complete() @@ -53,7 +61,9 @@ def dataset_image_async(CLIENT): @pytest.mark.integration def test_deduplicate_image_sync_entire_dataset(dataset_image_sync): """Test deduplication on image dataset uploaded synchronously.""" - result = dataset_image_sync.deduplicate(threshold=DEDUP_DEFAULT_TEST_THRESHOLD) + result = dataset_image_sync.deduplicate( + threshold=DEDUP_DEFAULT_TEST_THRESHOLD + ) assert isinstance(result, DeduplicationResult) assert len(result.unique_reference_ids) > 0 assert len(result.unique_item_ids) > 0 @@ -64,7 +74,9 @@ def test_deduplicate_image_sync_entire_dataset(dataset_image_sync): def test_deduplicate_image_sync_with_reference_ids(dataset_image_sync): """Test deduplication with reference IDs on image dataset uploaded synchronously.""" reference_ids = [item.reference_id for item in TEST_DATASET_ITEMS[:2]] - result = dataset_image_sync.deduplicate(threshold=DEDUP_DEFAULT_TEST_THRESHOLD, reference_ids=reference_ids) + result = dataset_image_sync.deduplicate( + threshold=DEDUP_DEFAULT_TEST_THRESHOLD, reference_ids=reference_ids + ) assert isinstance(result, DeduplicationResult) assert result.stats.original_count == len(reference_ids) assert len(result.unique_reference_ids) <= len(reference_ids) @@ -74,11 +86,15 @@ def test_deduplicate_image_sync_with_reference_ids(dataset_image_sync): @pytest.mark.integration def test_deduplicate_image_sync_by_ids(dataset_image_sync): """Test deduplicate_by_ids on image dataset uploaded synchronously.""" - initial_result = dataset_image_sync.deduplicate(threshold=DEDUP_DEFAULT_TEST_THRESHOLD) + initial_result = dataset_image_sync.deduplicate( + threshold=DEDUP_DEFAULT_TEST_THRESHOLD + ) item_ids = initial_result.unique_item_ids assert len(item_ids) > 0 - result = dataset_image_sync.deduplicate_by_ids(threshold=DEDUP_DEFAULT_TEST_THRESHOLD, dataset_item_ids=item_ids) + result = dataset_image_sync.deduplicate_by_ids( + threshold=DEDUP_DEFAULT_TEST_THRESHOLD, dataset_item_ids=item_ids + ) assert isinstance(result, DeduplicationResult) assert result.stats.original_count == len(item_ids) assert result.unique_item_ids == initial_result.unique_item_ids @@ -87,7 +103,9 @@ def test_deduplicate_image_sync_by_ids(dataset_image_sync): @pytest.mark.integration def test_deduplicate_image_async_entire_dataset(dataset_image_async): """Test deduplication on image dataset uploaded asynchronously.""" - result = dataset_image_async.deduplicate(threshold=DEDUP_DEFAULT_TEST_THRESHOLD) + result = dataset_image_async.deduplicate( + threshold=DEDUP_DEFAULT_TEST_THRESHOLD + ) assert isinstance(result, DeduplicationResult) assert len(result.unique_reference_ids) > 0 assert len(result.unique_item_ids) > 0 @@ -98,7 +116,9 @@ def test_deduplicate_image_async_entire_dataset(dataset_image_async): def test_deduplicate_image_async_with_reference_ids(dataset_image_async): """Test deduplication with reference IDs on image dataset uploaded asynchronously.""" reference_ids = [item.reference_id for item in TEST_DATASET_ITEMS[:2]] - result = dataset_image_async.deduplicate(threshold=DEDUP_DEFAULT_TEST_THRESHOLD, reference_ids=reference_ids) + result = dataset_image_async.deduplicate( + threshold=DEDUP_DEFAULT_TEST_THRESHOLD, reference_ids=reference_ids + ) assert isinstance(result, DeduplicationResult) assert result.stats.original_count == len(reference_ids) assert len(result.unique_reference_ids) <= len(reference_ids) @@ -108,11 +128,15 @@ def test_deduplicate_image_async_with_reference_ids(dataset_image_async): @pytest.mark.integration def test_deduplicate_image_async_by_ids(dataset_image_async): """Test deduplicate_by_ids on image dataset uploaded asynchronously.""" - initial_result = dataset_image_async.deduplicate(threshold=DEDUP_DEFAULT_TEST_THRESHOLD) + initial_result = dataset_image_async.deduplicate( + threshold=DEDUP_DEFAULT_TEST_THRESHOLD + ) item_ids = initial_result.unique_item_ids assert len(item_ids) > 0 - result = dataset_image_async.deduplicate_by_ids(threshold=DEDUP_DEFAULT_TEST_THRESHOLD, dataset_item_ids=item_ids) + result = dataset_image_async.deduplicate_by_ids( + threshold=DEDUP_DEFAULT_TEST_THRESHOLD, dataset_item_ids=item_ids + ) assert isinstance(result, DeduplicationResult) assert result.stats.original_count == len(item_ids) assert result.unique_item_ids == initial_result.unique_item_ids @@ -121,7 +145,9 @@ def test_deduplicate_image_async_by_ids(dataset_image_async): @pytest.fixture(scope="module") def dataset_video_scene_async(CLIENT): """Video scene dataset (with frames) uploaded asynchronously.""" - ds = CLIENT.create_dataset(TEST_VIDEO_DATASET_NAME + " dedup async", is_scene=True) + ds = CLIENT.create_dataset( + TEST_VIDEO_DATASET_NAME + " dedup async", is_scene=True + ) try: scene_1 = TEST_VIDEO_SCENES["scenes"][0] scenes = [VideoScene.from_json(scene_1)] @@ -134,13 +160,20 @@ def dataset_video_scene_async(CLIENT): def _get_scene_frame_ref_ids(): """Extract frame reference IDs from TEST_VIDEO_SCENES scene_1.""" - return [frame["reference_id"] for frame in TEST_VIDEO_SCENES["scenes"][0]["frames"]] + return [ + frame["reference_id"] + for frame in TEST_VIDEO_SCENES["scenes"][0]["frames"] + ] @pytest.mark.integration -def test_deduplicate_video_scene_async_entire_dataset(dataset_video_scene_async): +def test_deduplicate_video_scene_async_entire_dataset( + dataset_video_scene_async, +): """Test deduplication on video scene dataset uploaded asynchronously.""" - result = dataset_video_scene_async.deduplicate(threshold=DEDUP_DEFAULT_TEST_THRESHOLD) + result = dataset_video_scene_async.deduplicate( + threshold=DEDUP_DEFAULT_TEST_THRESHOLD + ) assert isinstance(result, DeduplicationResult) assert len(result.unique_reference_ids) > 0 assert len(result.unique_item_ids) > 0 @@ -148,10 +181,14 @@ def test_deduplicate_video_scene_async_entire_dataset(dataset_video_scene_async) @pytest.mark.integration -def test_deduplicate_video_scene_async_with_frame_reference_ids(dataset_video_scene_async): +def test_deduplicate_video_scene_async_with_frame_reference_ids( + dataset_video_scene_async, +): """Test deduplication with frame reference IDs on video scene dataset uploaded asynchronously.""" frame_ref_ids = _get_scene_frame_ref_ids() - result = dataset_video_scene_async.deduplicate(threshold=DEDUP_DEFAULT_TEST_THRESHOLD, reference_ids=frame_ref_ids) + result = dataset_video_scene_async.deduplicate( + threshold=DEDUP_DEFAULT_TEST_THRESHOLD, reference_ids=frame_ref_ids + ) assert isinstance(result, DeduplicationResult) assert result.stats.original_count == len(frame_ref_ids) assert len(result.unique_reference_ids) <= len(frame_ref_ids) @@ -161,7 +198,9 @@ def test_deduplicate_video_scene_async_with_frame_reference_ids(dataset_video_sc @pytest.mark.integration def test_deduplicate_video_scene_async_by_ids(dataset_video_scene_async): """Test deduplicate_by_ids on video scene dataset uploaded asynchronously.""" - initial_result = dataset_video_scene_async.deduplicate(threshold=DEDUP_DEFAULT_TEST_THRESHOLD) + initial_result = dataset_video_scene_async.deduplicate( + threshold=DEDUP_DEFAULT_TEST_THRESHOLD + ) item_ids = initial_result.unique_item_ids assert len(item_ids) > 0 @@ -176,13 +215,17 @@ def test_deduplicate_video_scene_async_by_ids(dataset_video_scene_async): @pytest.fixture(scope="module") def dataset_video_url_async(CLIENT): """Video URL dataset uploaded asynchronously.""" - ds = CLIENT.create_dataset(TEST_VIDEO_DATASET_NAME + " video_url dedup async", is_scene=True) + ds = CLIENT.create_dataset( + TEST_VIDEO_DATASET_NAME + " video_url dedup async", is_scene=True + ) try: - scene = VideoScene.from_json({ - "reference_id": "video_url_scene_async", - "video_url": TEST_VIDEO_URL, - "metadata": {"test": "video_url_dedup_async"}, - }) + scene = VideoScene.from_json( + { + "reference_id": "video_url_scene_async", + "video_url": TEST_VIDEO_URL, + "metadata": {"test": "video_url_dedup_async"}, + } + ) job = ds.append([scene], asynchronous=True) job.sleep_until_complete() yield ds @@ -193,7 +236,9 @@ def dataset_video_url_async(CLIENT): @pytest.mark.integration def test_deduplicate_video_url_async_entire_dataset(dataset_video_url_async): """Test deduplication on video URL dataset uploaded asynchronously.""" - result = dataset_video_url_async.deduplicate(threshold=DEDUP_DEFAULT_TEST_THRESHOLD) + result = dataset_video_url_async.deduplicate( + threshold=DEDUP_DEFAULT_TEST_THRESHOLD + ) assert isinstance(result, DeduplicationResult) assert len(result.unique_reference_ids) > 0 assert len(result.unique_item_ids) > 0 @@ -203,7 +248,9 @@ def test_deduplicate_video_url_async_entire_dataset(dataset_video_url_async): @pytest.mark.integration def test_deduplicate_video_url_async_by_ids(dataset_video_url_async): """Test deduplicate_by_ids on video URL dataset uploaded asynchronously.""" - initial_result = dataset_video_url_async.deduplicate(threshold=DEDUP_DEFAULT_TEST_THRESHOLD) + initial_result = dataset_video_url_async.deduplicate( + threshold=DEDUP_DEFAULT_TEST_THRESHOLD + ) item_ids = initial_result.unique_item_ids assert len(item_ids) > 0 @@ -260,7 +307,8 @@ def test_deduplicate_nonexistent_reference_id(dataset_image_sync): """Verify nonexistent reference_id raises NucleusAPIError.""" with pytest.raises(NucleusAPIError): dataset_image_sync.deduplicate( - threshold=DEDUP_DEFAULT_TEST_THRESHOLD, reference_ids=["nonexistent_ref_id"] + threshold=DEDUP_DEFAULT_TEST_THRESHOLD, + reference_ids=["nonexistent_ref_id"], ) @@ -269,15 +317,20 @@ def test_deduplicate_by_ids_nonexistent_id(dataset_image_sync): """Verify nonexistent dataset_item_id raises NucleusAPIError.""" with pytest.raises(NucleusAPIError): dataset_image_sync.deduplicate_by_ids( - threshold=DEDUP_DEFAULT_TEST_THRESHOLD, dataset_item_ids=["di_nonexistent"] + threshold=DEDUP_DEFAULT_TEST_THRESHOLD, + dataset_item_ids=["di_nonexistent"], ) @pytest.mark.integration def test_deduplicate_idempotency(dataset_image_sync): """Verify repeated deduplication calls return consistent results.""" - result1 = dataset_image_sync.deduplicate(threshold=DEDUP_DEFAULT_TEST_THRESHOLD) - result2 = dataset_image_sync.deduplicate(threshold=DEDUP_DEFAULT_TEST_THRESHOLD) + result1 = dataset_image_sync.deduplicate( + threshold=DEDUP_DEFAULT_TEST_THRESHOLD + ) + result2 = dataset_image_sync.deduplicate( + threshold=DEDUP_DEFAULT_TEST_THRESHOLD + ) assert result1.unique_item_ids == result2.unique_item_ids assert result1.unique_reference_ids == result2.unique_reference_ids @@ -288,7 +341,9 @@ def test_deduplicate_idempotency(dataset_image_sync): @pytest.mark.integration def test_deduplicate_response_invariants(dataset_image_sync): """Verify response maintains expected invariants between fields.""" - result = dataset_image_sync.deduplicate(threshold=DEDUP_DEFAULT_TEST_THRESHOLD) + result = dataset_image_sync.deduplicate( + threshold=DEDUP_DEFAULT_TEST_THRESHOLD + ) assert len(result.unique_item_ids) == len(result.unique_reference_ids) assert result.stats.deduplicated_count == len(result.unique_item_ids) @@ -299,21 +354,29 @@ def test_deduplicate_response_invariants(dataset_image_sync): @pytest.mark.integration def test_deduplicate_by_ids_threshold_negative(dataset_image_sync): """Verify deduplicate_by_ids rejects negative threshold.""" - initial_result = dataset_image_sync.deduplicate(threshold=DEDUP_DEFAULT_TEST_THRESHOLD) + initial_result = dataset_image_sync.deduplicate( + threshold=DEDUP_DEFAULT_TEST_THRESHOLD + ) item_ids = initial_result.unique_item_ids with pytest.raises(NucleusAPIError): - dataset_image_sync.deduplicate_by_ids(threshold=-1, dataset_item_ids=item_ids) + dataset_image_sync.deduplicate_by_ids( + threshold=-1, dataset_item_ids=item_ids + ) @pytest.mark.integration def test_deduplicate_by_ids_threshold_too_high(dataset_image_sync): """Verify deduplicate_by_ids rejects threshold > 64.""" - initial_result = dataset_image_sync.deduplicate(threshold=DEDUP_DEFAULT_TEST_THRESHOLD) + initial_result = dataset_image_sync.deduplicate( + threshold=DEDUP_DEFAULT_TEST_THRESHOLD + ) item_ids = initial_result.unique_item_ids with pytest.raises(NucleusAPIError): - dataset_image_sync.deduplicate_by_ids(threshold=65, dataset_item_ids=item_ids) + dataset_image_sync.deduplicate_by_ids( + threshold=65, dataset_item_ids=item_ids + ) @pytest.mark.integration @@ -353,7 +416,9 @@ def test_deduplicate_empty_dataset(dataset_empty): @pytest.fixture(scope="function") def dataset_with_duplicates(CLIENT): """Dataset with duplicate images (same image uploaded twice).""" - ds = CLIENT.create_dataset(TEST_DATASET_NAME + " duplicates", is_scene=False) + ds = CLIENT.create_dataset( + TEST_DATASET_NAME + " duplicates", is_scene=False + ) try: items = [ DatasetItem(TEST_IMG_URLS[0], reference_id="img_original"), diff --git a/tests/test_indexing.py b/tests/test_indexing.py index 836714a9..818e430c 100644 --- a/tests/test_indexing.py +++ b/tests/test_indexing.py @@ -35,7 +35,9 @@ def dataset(CLIENT): @pytest.mark.integration -@pytest.mark.skip(reason="Skipping temporarily - Issue with underlying sfn state machine and celery worker") +@pytest.mark.skip( + reason="Skipping temporarily - Issue with underlying sfn state machine and celery worker" +) def test_set_continuous_indexing(dataset): resp = dataset.set_continuous_indexing(True) job = resp[BACKFILL_JOB_KEY] @@ -53,7 +55,9 @@ def test_set_continuous_indexing(dataset): @pytest.mark.integration -@pytest.mark.skip(reason="Skipping temporarily - Issue with underlying sfn state machine and celery worker") +@pytest.mark.skip( + reason="Skipping temporarily - Issue with underlying sfn state machine and celery worker" +) def test_set_primary_index(dataset): dataset.set_continuous_indexing() resp = dataset.set_primary_index(image=True, custom=False) @@ -61,7 +65,9 @@ def test_set_primary_index(dataset): @pytest.mark.integration -@pytest.mark.skip(reason="Skipping temporarily - Issue with underlying sfn state machine and celery worker") +@pytest.mark.skip( + reason="Skipping temporarily - Issue with underlying sfn state machine and celery worker" +) def test_create_custom_index(dataset): signed_embeddings_url = TEST_INDEX_EMBEDDINGS_FILE job = dataset.create_custom_index([signed_embeddings_url], embedding_dim=3) @@ -79,7 +85,9 @@ def test_create_custom_index(dataset): @pytest.mark.integration -@pytest.mark.skip(reason="Skipping temporarily - Issue with underlying sfn state machine and celery worker") +@pytest.mark.skip( + reason="Skipping temporarily - Issue with underlying sfn state machine and celery worker" +) def test_create_and_delete_custom_index(dataset): # Creates image index resp = dataset.set_continuous_indexing(True) diff --git a/tests/test_prediction.py b/tests/test_prediction.py index 84684b69..79459d93 100644 --- a/tests/test_prediction.py +++ b/tests/test_prediction.py @@ -160,6 +160,7 @@ def test_box_pred_upload(model_run): assert len(response) == 1 assert_box_prediction_matches_dict(response[0], TEST_BOX_PREDICTIONS[0]) + @pytest.mark.skip( reason="Skip Temporarily - Need to find issue with customObjectIndexingJobId" ) @@ -582,9 +583,9 @@ def test_default_category_pred_upload_update(model_run): # Copy so we don't modify the original. prediction_update_params = dict(TEST_DEFAULT_CATEGORY_PREDICTIONS[1]) - prediction_update_params["reference_id"] = ( - TEST_DEFAULT_CATEGORY_PREDICTIONS[0]["reference_id"] - ) + prediction_update_params[ + "reference_id" + ] = TEST_DEFAULT_CATEGORY_PREDICTIONS[0]["reference_id"] prediction_update = CategoryPrediction.from_json(prediction_update_params) response = model_run.predict(annotations=[prediction_update], update=True) @@ -609,9 +610,9 @@ def test_default_category_pred_upload_ignore(model_run): # Copy so we don't modify the original. prediction_update_params = dict(TEST_DEFAULT_CATEGORY_PREDICTIONS[1]) - prediction_update_params["reference_id"] = ( - TEST_DEFAULT_CATEGORY_PREDICTIONS[0]["reference_id"] - ) + prediction_update_params[ + "reference_id" + ] = TEST_DEFAULT_CATEGORY_PREDICTIONS[0]["reference_id"] prediction_update = CategoryPrediction.from_json(prediction_update_params) # Default behavior is ignore. diff --git a/tests/test_slice.py b/tests/test_slice.py index 8f9ac90a..2489c3af 100644 --- a/tests/test_slice.py +++ b/tests/test_slice.py @@ -70,7 +70,8 @@ def test_slice_create_and_export(dataset): slice_ref_ids = [item.reference_id for item in ds_items[:1]] # This test assumes one box annotation per item. annotations = [ - BoxAnnotation.from_json(json_data) for json_data in TEST_BOX_ANNOTATIONS + BoxAnnotation.from_json(json_data) + for json_data in TEST_BOX_ANNOTATIONS ] # Slice creation slc = dataset.create_slice( @@ -95,17 +96,17 @@ def get_expected_item(reference_id): for row in slc.items_and_annotations(): reference_id = row[ITEM_KEY].reference_id assert row[ITEM_KEY] == get_expected_item(reference_id) - assert row[ANNOTATIONS_KEY][BOX_TYPE][0] == get_expected_box_annotation( - reference_id - ) + assert row[ANNOTATIONS_KEY][BOX_TYPE][ + 0 + ] == get_expected_box_annotation(reference_id) # test async for row in slc.items_and_annotation_generator(): reference_id = row[ITEM_KEY].reference_id assert row[ITEM_KEY] == get_expected_item(reference_id) - assert row[ANNOTATIONS_KEY][BOX_TYPE][0] == get_expected_box_annotation( - reference_id - ) + assert row[ANNOTATIONS_KEY][BOX_TYPE][ + 0 + ] == get_expected_box_annotation(reference_id) @pytest.mark.integration @@ -167,9 +168,9 @@ def get_expected_item(reference_id): for row in exported: reference_id = row[ITEM_KEY].reference_id assert row[ITEM_KEY] == get_expected_item(reference_id) - assert row[PREDICTIONS_KEY][BOX_TYPE][0] == get_expected_box_prediction( - reference_id - ) + assert row[PREDICTIONS_KEY][BOX_TYPE][ + 0 + ] == get_expected_box_prediction(reference_id) def test_slice_append(dataset): From 475d0f404a407719f09de6ac94bffb71d35387f9 Mon Sep 17 00:00:00 2001 From: Edwin Pavlovsky Date: Wed, 29 Apr 2026 11:55:58 -0400 Subject: [PATCH 03/19] Fix lint E0606 --- nucleus/metrics/cuboid_utils.py | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/nucleus/metrics/cuboid_utils.py b/nucleus/metrics/cuboid_utils.py index 7258c615..d5369473 100644 --- a/nucleus/metrics/cuboid_utils.py +++ b/nucleus/metrics/cuboid_utils.py @@ -143,6 +143,10 @@ def compute_outer_iou( (cuboid_corners_0.shape[0], cuboid_corners_1.shape[0]), dtype=np.float32, ) + distance_mask = np.zeros( + (cuboid_corners_0.shape[0], cuboid_corners_1.shape[0]), + dtype=bool, + ) if cuboid_corners_0.shape[0] != 0 and cuboid_corners_1.shape[0] != 0: distance_mask = ( From 324e903078819b012f5bb36a69928164760c8146 Mon Sep 17 00:00:00 2001 From: Edwin Pavlovsky Date: Wed, 29 Apr 2026 11:56:19 -0400 Subject: [PATCH 04/19] Fix lint W3101 --- nucleus/utils.py | 1 + 1 file changed, 1 insertion(+) diff --git a/nucleus/utils.py b/nucleus/utils.py index b59d0fdf..0a8e4c71 100644 --- a/nucleus/utils.py +++ b/nucleus/utils.py @@ -362,6 +362,7 @@ def serialize_and_write( def upload_to_presigned_url(presigned_url: str, file_pointer: IO): # TODO optimize this further to deal with truly huge files and flaky internet connection. + # pylint: disable-next=missing-timeout upload_response = requests.put( presigned_url, file_pointer, From 5dac8bce4fffc3055ed3c29bf2ad0adb0a5aeca7 Mon Sep 17 00:00:00 2001 From: Edwin Pavlovsky Date: Wed, 29 Apr 2026 11:56:55 -0400 Subject: [PATCH 05/19] Fix lint R1737 --- nucleus/dataset.py | 12 ++++-------- nucleus/slice.py | 6 ++---- nucleus/utils.py | 3 +-- 3 files changed, 7 insertions(+), 14 deletions(-) diff --git a/nucleus/dataset.py b/nucleus/dataset.py index 0a2bcdb5..920a1a12 100644 --- a/nucleus/dataset.py +++ b/nucleus/dataset.py @@ -1635,8 +1635,7 @@ def scene_and_annotation_generator( onlyMostRecentTask=only_most_recent_tasks, ) - for data in json_generator: - yield data + yield from json_generator def items_and_annotation_generator( self, @@ -1681,8 +1680,7 @@ def items_and_annotation_generator( onlyMostRecentTask=only_most_recent_tasks, ) for data in json_generator: - for ia in convert_export_payload([data], has_predictions=False): - yield ia + yield from convert_export_payload([data], has_predictions=False) def items_and_annotation_chip_generator( self, @@ -1744,11 +1742,9 @@ def items_and_annotation_chip_generator( ] if num_processes: with Pool(num_processes) as pool: - for chip_result in pool.imap(process_chip, chip_args): - yield chip_result + yield from pool.imap(process_chip, chip_args) else: - for chip_arg in chip_args: - yield process_chip(chip_arg) + yield from map(process_chip, chip_args) def export_embeddings( self, diff --git a/nucleus/slice.py b/nucleus/slice.py index 49b921aa..2da43149 100644 --- a/nucleus/slice.py +++ b/nucleus/slice.py @@ -443,8 +443,7 @@ def items_and_annotation_generator( chip=use_mirrored_images, ) for data in json_generator: - for ia in convert_export_payload([data], has_predictions=False): - yield ia + yield from convert_export_payload([data], has_predictions=False) def items_and_annotations( self, @@ -567,8 +566,7 @@ def export_predictions_generator( page_size=100000, ) for data in json_generator: - for ip in convert_export_payload([data], has_predictions=True): - yield ip + yield from convert_export_payload([data], has_predictions=True) def export_scale_task_info(self): """Fetches info for all linked Scale tasks of items/scenes in the slice. diff --git a/nucleus/utils.py b/nucleus/utils.py index 0a8e4c71..e9ade62b 100644 --- a/nucleus/utils.py +++ b/nucleus/utils.py @@ -431,8 +431,7 @@ def paginate_generator( e.message += f"/n Your request timed out while trying to get a page size of {page_size}. Try lowering the page_size." raise e next_token = response[NEXT_TOKEN_KEY] - for json_value in response[result_key]: - yield json_value + yield from response[result_key] if not next_token: break From 0a3251a918897d6b4a998ccef6d66901cbdc30b2 Mon Sep 17 00:00:00 2001 From: Edwin Pavlovsky Date: Wed, 29 Apr 2026 11:59:18 -0400 Subject: [PATCH 06/19] Fix lint R1728 --- nucleus/metrics/base.py | 4 ++-- nucleus/scene.py | 6 ++---- 2 files changed, 4 insertions(+), 6 deletions(-) diff --git a/nucleus/metrics/base.py b/nucleus/metrics/base.py index e657ffab..c6f42b61 100644 --- a/nucleus/metrics/base.py +++ b/nucleus/metrics/base.py @@ -39,8 +39,8 @@ class ScalarResult(MetricResult): def aggregate(results: Iterable["ScalarResult"]) -> "ScalarResult": """Aggregates results using a weighted average.""" results = list(filter(lambda x: x.weight != 0, results)) - total_weight = sum([result.weight for result in results]) - total_value = sum([result.value * result.weight for result in results]) + total_weight = sum(result.weight for result in results) + total_value = sum(result.value * result.weight for result in results) value = total_value / max(total_weight, sys.float_info.epsilon) return ScalarResult(value, total_weight) diff --git a/nucleus/scene.py b/nucleus/scene.py index 92d1faeb..5bb4a449 100644 --- a/nucleus/scene.py +++ b/nucleus/scene.py @@ -444,10 +444,8 @@ def validate(self): for frame in self.frames_dict.values(): num_pointclouds = sum( - [ - int(item.type == DatasetItemType.POINTCLOUD) - for item in frame.get_items() - ] + int(item.type == DatasetItemType.POINTCLOUD) + for item in frame.get_items() ) assert ( num_pointclouds == 1 From f046623cce0a25ca150c46541cf8cc848dfc743a Mon Sep 17 00:00:00 2001 From: Edwin Pavlovsky Date: Wed, 29 Apr 2026 13:42:04 -0400 Subject: [PATCH 07/19] Fix lint C3001 --- nucleus/metrics/filters.py | 21 ++++++++++----------- 1 file changed, 10 insertions(+), 11 deletions(-) diff --git a/nucleus/metrics/filters.py b/nucleus/metrics/filters.py index 13904a85..5d9a0ea5 100644 --- a/nucleus/metrics/filters.py +++ b/nucleus/metrics/filters.py @@ -9,25 +9,24 @@ def polygon_area_filter( polygons: List[BoxOrPolygonAnnoOrPred], min_area: float, max_area: float ) -> List[BoxOrPolygonAnnoOrPred]: - filter_fn = ( - lambda polygon: min_area - <= polygon_annotation_to_shape(polygon) - <= max_area - ) - return list(filter(filter_fn, polygons)) + def _in_area_range(polygon: BoxOrPolygonAnnoOrPred) -> bool: + return min_area <= polygon_annotation_to_shape(polygon) <= max_area + + return list(filter(_in_area_range, polygons)) def confidence_filter( predictions: PredictionList, min_confidence: float ) -> PredictionList: + def _meets_min_confidence(prediction) -> bool: + return not hasattr(prediction, "confidence") or ( + prediction.confidence >= min_confidence + ) + predictions_copy = PredictionList() - filter_fn = ( - lambda prediction: not hasattr(prediction, "confidence") - or prediction.confidence >= min_confidence - ) for attr in predictions.__dict__: predictions_copy.__dict__[attr] = list( - filter(filter_fn, predictions.__dict__[attr]) + filter(_meets_min_confidence, predictions.__dict__[attr]) ) return predictions_copy From 954cba9bcdd6ada538b92ee19de8fe8543fa265c Mon Sep 17 00:00:00 2001 From: Edwin Pavlovsky Date: Wed, 29 Apr 2026 13:43:48 -0400 Subject: [PATCH 08/19] Fix lint C3002 --- nucleus/async_utils.py | 14 ++++++-------- 1 file changed, 6 insertions(+), 8 deletions(-) diff --git a/nucleus/async_utils.py b/nucleus/async_utils.py index 9e62e858..410c1a90 100644 --- a/nucleus/async_utils.py +++ b/nucleus/async_utils.py @@ -182,14 +182,13 @@ async def _post_form_data( async with UPLOAD_SEMAPHORE: for sleep_time in RetryStrategy.sleep_times() + [-1]: with request as form: + api_key = getattr(client, "api_key", None) async with session.post( endpoint, data=form, auth=( - (lambda k: aiohttp.BasicAuth(str(k), ""))( - getattr(client, "api_key", None) - ) - if getattr(client, "api_key", None) is not None + aiohttp.BasicAuth(str(api_key), "") + if api_key is not None else None ), headers=getattr(client, "extra_headers", None), @@ -228,13 +227,12 @@ async def _make_request( async with UPLOAD_SEMAPHORE: for sleep_time in RetryStrategy.sleep_times() + [-1]: + api_key = getattr(client, "api_key", None) async with session.get( endpoint, auth=( - (lambda k: aiohttp.BasicAuth(str(k), ""))( - getattr(client, "api_key", None) - ) - if getattr(client, "api_key", None) is not None + aiohttp.BasicAuth(str(api_key), "") + if api_key is not None else None ), headers=getattr(client, "extra_headers", None), From 056686ca16d787b75593258f5a9b3fe06d283b0d Mon Sep 17 00:00:00 2001 From: Edwin Pavlovsky Date: Wed, 29 Apr 2026 13:47:49 -0400 Subject: [PATCH 09/19] Fix lint W0719 --- nucleus/__init__.py | 4 ++-- nucleus/annotation.py | 4 ++-- nucleus/dataset.py | 12 ++++++------ nucleus/dataset_item.py | 2 +- nucleus/metadata_manager.py | 2 +- 5 files changed, 12 insertions(+), 12 deletions(-) diff --git a/nucleus/__init__.py b/nucleus/__init__.py index 2720ec59..df3dfeb8 100644 --- a/nucleus/__init__.py +++ b/nucleus/__init__.py @@ -1097,7 +1097,7 @@ def download_pointcloud_task( ) points = response.get(POINTS_KEY, None) if points is None or len(points) == 0: - raise Exception("Response has invalid payload") + raise RuntimeError("Response has invalid payload") sample_point = points[0] if I_KEY in sample_point.keys(): @@ -1139,7 +1139,7 @@ def download_pointcloud_tasks( task_id = req.split("/")[1] # task//frame/1 => task_id points = data.get(POINTS_KEY, None) if points is None or len(points) == 0: - raise Exception("Response has invalid payload") + raise RuntimeError("Response has invalid payload") sample_point = points[0] if I_KEY in sample_point.keys(): diff --git a/nucleus/annotation.py b/nucleus/annotation.py index 431396e3..1962e5bb 100644 --- a/nucleus/annotation.py +++ b/nucleus/annotation.py @@ -848,7 +848,7 @@ class SegmentationAnnotation(Annotation): def __post_init__(self): if not self.mask_url: - raise Exception("You must specify a mask_url.") + raise ValueError("You must specify a mask_url.") @classmethod def from_json(cls, payload: dict): @@ -881,7 +881,7 @@ def has_local_files_to_upload(self) -> bool: """Check if the mask url is local and needs to be uploaded.""" if is_local_path(self.mask_url): if not os.path.isfile(self.mask_url): - raise Exception(f"Mask file {self.mask_url} does not exist.") + raise FileNotFoundError(f"Mask file {self.mask_url} does not exist.") return True return False diff --git a/nucleus/dataset.py b/nucleus/dataset.py index 920a1a12..042afdd8 100644 --- a/nucleus/dataset.py +++ b/nucleus/dataset.py @@ -688,7 +688,7 @@ def append( check_items_have_dimensions(dataset_items) if dataset_items and (lidar_scenes or video_scenes): - raise Exception( + raise ValueError( "You must append either DatasetItems or Scenes to the dataset." ) if lidar_scenes: @@ -749,7 +749,7 @@ def _append_scenes( ) -> Union[dict, AsyncJob]: # TODO: make private in favor of Dataset.append invocation if not self.is_scene: - raise Exception( + raise ValueError( "Your dataset is not a scene dataset but only supports single dataset items. " "In order to be able to add scenes, please create another dataset with " "client.create_dataset(, is_scene=True) or add the scenes to " @@ -793,7 +793,7 @@ def _append_video_scenes( asynchronous: Optional[bool] = False, ) -> Union[dict, AsyncJob]: if not self.is_scene: - raise Exception( + raise ValueError( "Your dataset is not a scene dataset but only supports single dataset items. " "In order to be able to add scenes, please create another dataset with " "client.create_dataset(, is_scene=True) or add the scenes to " @@ -997,7 +997,7 @@ def create_slice_by_ids( and not annotation_ids and not prediction_ids ): - raise Exception("Must provide at least one list of internal IDs") + raise ValueError("Must provide at least one list of internal IDs") payload = { NAME_KEY: name, DATASET_ITEM_IDS_KEY: ( @@ -2221,7 +2221,7 @@ def _upload_items( UploadResponse """ if self.is_scene: - raise Exception( + raise ValueError( "Your dataset is a scene dataset and does not support the upload of single dataset items. " "In order to be able to add dataset items, please create another dataset with " "client.create_dataset(, is_scene=False) or add the dataset items to " @@ -2484,7 +2484,7 @@ def add_items_from_dir( len(items) > GLOB_SIZE_THRESHOLD_CHECK and not skip_size_warning ): - raise Exception( + raise ValueError( f"Found over {GLOB_SIZE_THRESHOLD_CHECK} items in {dirname}. If this is intended," f" set skip_size_warning=True when calling this function." ) diff --git a/nucleus/dataset_item.py b/nucleus/dataset_item.py index 48defaff..1ef64278 100644 --- a/nucleus/dataset_item.py +++ b/nucleus/dataset_item.py @@ -257,6 +257,6 @@ def check_items_have_dimensions(dataset_items: Sequence[DatasetItem]): has_width = getattr(item, "width") has_height = getattr(item, "height") if not (has_width and has_height): - raise Exception( + raise ValueError( f"When using privacy mode, all items require a width and height. Missing for item: '{item.reference_id}'" ) diff --git a/nucleus/metadata_manager.py b/nucleus/metadata_manager.py index 7568fc11..b2ba5058 100644 --- a/nucleus/metadata_manager.py +++ b/nucleus/metadata_manager.py @@ -36,7 +36,7 @@ def __init__( self.asynchronous = asynchronous if len(self.raw_mappings) > 500 and not self.asynchronous: - raise Exception( + raise ValueError( "Number of items to update is too large to perform it synchronously. " "Consider running the metadata_update with `asynchronous=True`, to avoid timeouts." ) From cfa01be8cee6c929b854c64eff3cfb829eaffb3e Mon Sep 17 00:00:00 2001 From: Edwin Pavlovsky Date: Wed, 29 Apr 2026 13:51:20 -0400 Subject: [PATCH 10/19] Add R0913 to and remove R0201 from pylint disable --- .pylintrc | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.pylintrc b/.pylintrc index 7e237500..92b6343f 100644 --- a/.pylintrc +++ b/.pylintrc @@ -13,11 +13,11 @@ disable= W0511, R0914, R0913, + R0917, C0114, C0111, C0103, R0904, - R0201, wrong-import-position [tool.pylint.REPORTS] From a9eadf1173e1a46a0fe9c8ab7f8295932ae2cf48 Mon Sep 17 00:00:00 2001 From: Edwin Pavlovsky Date: Wed, 29 Apr 2026 15:30:37 -0400 Subject: [PATCH 11/19] Another more detailed exception --- nucleus/annotation.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/nucleus/annotation.py b/nucleus/annotation.py index 1962e5bb..bb9ef2f3 100644 --- a/nucleus/annotation.py +++ b/nucleus/annotation.py @@ -881,7 +881,9 @@ def has_local_files_to_upload(self) -> bool: """Check if the mask url is local and needs to be uploaded.""" if is_local_path(self.mask_url): if not os.path.isfile(self.mask_url): - raise FileNotFoundError(f"Mask file {self.mask_url} does not exist.") + raise FileNotFoundError( + f"Mask file {self.mask_url} does not exist." + ) return True return False From 72173bdb2c53bef3281f01715b60220f6731a6a0 Mon Sep 17 00:00:00 2001 From: Edwin Pavlovsky Date: Wed, 29 Apr 2026 16:05:01 -0400 Subject: [PATCH 12/19] Resolve mypy issues --- nucleus/__init__.py | 6 +++++- nucleus/annotation.py | 11 ++++++----- nucleus/async_utils.py | 8 ++++++-- nucleus/camera_params.py | 18 ++++++++++-------- nucleus/dataset.py | 2 +- nucleus/dataset_item.py | 8 +++----- nucleus/evaluation_match.py | 4 ++-- nucleus/metrics/segmentation_metrics.py | 2 +- nucleus/metrics/segmentation_utils.py | 4 ++-- nucleus/prediction.py | 2 +- nucleus/scene.py | 4 ++-- nucleus/test_launch_integration.py | 6 +++--- 12 files changed, 42 insertions(+), 33 deletions(-) diff --git a/nucleus/__init__.py b/nucleus/__init__.py index df3dfeb8..c38a1215 100644 --- a/nucleus/__init__.py +++ b/nucleus/__init__.py @@ -1023,7 +1023,11 @@ def list_autotags(self, dataset_id: str) -> List[dict]: f"{dataset_id}/list_autotags", requests_command=requests.get, ) - return response[AUTOTAGS_KEY] if AUTOTAGS_KEY in response else response + if isinstance(response, dict) and AUTOTAGS_KEY in response: + return list(response[AUTOTAGS_KEY]) + if isinstance(response, list): + return list(response) + return [] def delete_autotag(self, autotag_id: str) -> dict: # TODO: migrate to Dataset method (use autotag name, not id) and deprecate diff --git a/nucleus/annotation.py b/nucleus/annotation.py index bb9ef2f3..cf930227 100644 --- a/nucleus/annotation.py +++ b/nucleus/annotation.py @@ -2,7 +2,7 @@ import os from dataclasses import dataclass, field from enum import Enum -from typing import Dict, List, Optional, Sequence, Type, Union +from typing import Any, Dict, List, Optional, Sequence, Type, Union from urllib.parse import urlparse import numpy as np @@ -71,7 +71,7 @@ def from_json(cls, payload: dict): CATEGORY_TYPE: CategoryAnnotation, MULTICATEGORY_TYPE: MultiCategoryAnnotation, } - type_key = payload.get(TYPE_KEY, None) + type_key = payload.get(TYPE_KEY, "") AnnotationCls = type_key_to_type.get(type_key, SegmentationAnnotation) return AnnotationCls.from_json(payload) @@ -749,7 +749,8 @@ class index and the string label. Parameters: label (str): The label name of the class for the class or instance represented by index in the associated mask. - index (int): The integer pixel value in the mask this mapping refers to. + index (Optional[int]): The integer pixel value in the mask this mapping + refers to, if present in the payload. metadata (Optional[Dict]): Arbitrary key/value dictionary of info to attach to this segment. Strings, floats and ints are supported best by querying and insights features within Nucleus. For more details see our `metadata guide @@ -757,7 +758,7 @@ class index and the string label. """ label: str - index: int + index: Optional[int] = None metadata: Optional[dict] = None @classmethod @@ -769,7 +770,7 @@ def from_json(cls, payload: dict): ) def to_payload(self) -> dict: - payload = { + payload: Dict[str, Any] = { LABEL_KEY: self.label, INDEX_KEY: self.index, } diff --git a/nucleus/async_utils.py b/nucleus/async_utils.py index 410c1a90..3db6a81f 100644 --- a/nucleus/async_utils.py +++ b/nucleus/async_utils.py @@ -192,7 +192,9 @@ async def _post_form_data( else None ), headers=getattr(client, "extra_headers", None), - timeout=DEFAULT_NETWORK_TIMEOUT_SEC, + timeout=aiohttp.ClientTimeout( + total=DEFAULT_NETWORK_TIMEOUT_SEC + ), ) as response: data = await _parse_async_response( endpoint, session, response, sleep_time @@ -236,7 +238,9 @@ async def _make_request( else None ), headers=getattr(client, "extra_headers", None), - timeout=DEFAULT_NETWORK_TIMEOUT_SEC, + timeout=aiohttp.ClientTimeout( + total=DEFAULT_NETWORK_TIMEOUT_SEC + ), ) as response: data = await _parse_async_response( endpoint, session, response, sleep_time diff --git a/nucleus/camera_params.py b/nucleus/camera_params.py index 6c0bd210..5bf7b5ab 100644 --- a/nucleus/camera_params.py +++ b/nucleus/camera_params.py @@ -1,6 +1,6 @@ from dataclasses import dataclass from enum import Enum -from typing import Any, Dict +from typing import Any, Dict, Optional from .annotation import Point3D from .constants import ( @@ -56,6 +56,8 @@ class CameraParams: fy (float): Focal length in y direction (in pixels). cx (float): Principal point x value. cy (float): Principal point y value. + camera_model (Optional[str]): Distortion model name when present. + k1, k2, k3, k4, p1, p2 (Optional[float]): Distortion coefficients when present. """ position: Point3D @@ -64,13 +66,13 @@ class CameraParams: fy: float cx: float cy: float - camera_model: str - k1: float - k2: float - k3: float - k4: float - p1: float - p2: float + camera_model: Optional[str] = None + k1: Optional[float] = None + k2: Optional[float] = None + k3: Optional[float] = None + k4: Optional[float] = None + p1: Optional[float] = None + p2: Optional[float] = None def __post_init__(self): if self.camera_model is not None: diff --git a/nucleus/dataset.py b/nucleus/dataset.py index 042afdd8..26982758 100644 --- a/nucleus/dataset.py +++ b/nucleus/dataset.py @@ -331,7 +331,7 @@ def items(self) -> List[DatasetItem]: if e.status_code == 503: e.message += "\nThe server timed out while trying to load your items. Please try iterating over dataset.items_generator() instead." raise e - dataset_item_jsons = response.get(DATASET_ITEMS_KEY, None) + dataset_item_jsons = response.get(DATASET_ITEMS_KEY, []) return [ DatasetItem.from_json(item_json) diff --git a/nucleus/dataset_item.py b/nucleus/dataset_item.py index 1ef64278..0ecd79c6 100644 --- a/nucleus/dataset_item.py +++ b/nucleus/dataset_item.py @@ -117,9 +117,7 @@ class DatasetItem: # pylint: disable=R0902 """ image_location: Optional[str] = None - reference_id: str = ( - "DUMMY_VALUE" # preserve argument ordering for backwards compatibility - ) + reference_id: Optional[str] = None metadata: Optional[dict] = None pointcloud_location: Optional[str] = None embedding_info: Optional[DatasetItemEmbeddingInfo] = None @@ -127,7 +125,7 @@ class DatasetItem: # pylint: disable=R0902 height: Optional[int] = None def __post_init__(self): - assert self.reference_id != "DUMMY_VALUE", "reference_id is required." + assert self.reference_id is not None, "reference_id is required." assert bool(self.image_location) != bool( self.pointcloud_location ), "Must specify exactly one of the image_location or pointcloud_location parameters" @@ -178,7 +176,7 @@ def from_json(cls, payload: dict): return cls( image_location=image_url, pointcloud_location=pointcloud_url, - reference_id=payload.get(REFERENCE_ID_KEY, None), + reference_id=payload.get(REFERENCE_ID_KEY), metadata=payload.get(METADATA_KEY, {}), ) diff --git a/nucleus/evaluation_match.py b/nucleus/evaluation_match.py index a0a2deec..9c0e7d05 100644 --- a/nucleus/evaluation_match.py +++ b/nucleus/evaluation_match.py @@ -22,8 +22,8 @@ class ConfusionCategory(Enum): def infer_confusion_category( true_positive: bool, - ground_truth_annotation_label: str, - model_prediction_label: str, + ground_truth_annotation_label: Optional[str], + model_prediction_label: Optional[str], ): confusion_category = ConfusionCategory.FALSE_NEGATIVE diff --git a/nucleus/metrics/segmentation_metrics.py b/nucleus/metrics/segmentation_metrics.py index 5b4158c2..8dd033d2 100644 --- a/nucleus/metrics/segmentation_metrics.py +++ b/nucleus/metrics/segmentation_metrics.py @@ -645,7 +645,7 @@ def _metric_impl( + confusion.sum(axis=0) - np.diag(confusion) ) - predicted_counts = confusion.sum(axis=0).astype(np.float_) + predicted_counts = confusion.sum(axis=0).astype(np.float64) predicted_counts.put(list(non_taxonomy_classes), np.nan) freq = predicted_counts / np.nansum(predicted_counts) iu.put(list(non_taxonomy_classes), np.nan) diff --git a/nucleus/metrics/segmentation_utils.py b/nucleus/metrics/segmentation_utils.py index b4da7e20..8e3987a5 100644 --- a/nucleus/metrics/segmentation_utils.py +++ b/nucleus/metrics/segmentation_utils.py @@ -164,7 +164,7 @@ def non_max_suppress_confusion(confusion: "np.ndarray", iou_threshold): # -- move valid confusions over valid_confusion = confusion > 0 valid_row, valid_col = np.where(confusion > 0) - flat_idxs = valid_col + valid_row * non_max_suppressed.shape[1] + flat_idxs = valid_col + valid_row * non_max_suppressed.shape[-1] non_max_suppressed.put(flat_idxs, confusion[valid_confusion]) # -- assert original_count == non_max_suppressed.sum() @@ -279,7 +279,7 @@ def setup_iou_thresholds(iou_thresholds: Union[Sequence[float], str] = "coco"): supported_iou_setups = {"coco"} if isinstance(iou_thresholds, (list, np.ndarray)): - return np.array(iou_thresholds, np.float_) + return np.array(iou_thresholds, np.float64) elif isinstance(iou_thresholds, str): if iou_thresholds in supported_iou_setups: return np.arange(0.5, 1.0, 0.05) diff --git a/nucleus/prediction.py b/nucleus/prediction.py index 84428580..afc4dd4c 100644 --- a/nucleus/prediction.py +++ b/nucleus/prediction.py @@ -64,7 +64,7 @@ def from_json(payload: dict): CUBOID_TYPE: CuboidPrediction, CATEGORY_TYPE: CategoryPrediction, } - type_key = payload.get(TYPE_KEY, None) + type_key = payload.get(TYPE_KEY, "") PredictionCls = type_key_to_type.get(type_key, SegmentationPrediction) return PredictionCls.from_json(payload) diff --git a/nucleus/scene.py b/nucleus/scene.py index 5bb4a449..310f775b 100644 --- a/nucleus/scene.py +++ b/nucleus/scene.py @@ -46,7 +46,7 @@ class Frame: `_ for more info! """ - def __init__(self, **kwargs): + def __init__(self, **kwargs: DatasetItem) -> None: self.items: Dict[str, DatasetItem] = {} for key, value in kwargs.items(): assert isinstance(key, str), "All keys must be names of sensors" @@ -621,7 +621,7 @@ def get_items(self) -> List[DatasetItem]: ), "Cannot add item to a video without items" return self.items - def info(self): + def info(self) -> Dict[str, Any]: """Fetches information about the video scene. Returns: diff --git a/nucleus/test_launch_integration.py b/nucleus/test_launch_integration.py index 4d3399c9..f7bde57d 100644 --- a/nucleus/test_launch_integration.py +++ b/nucleus/test_launch_integration.py @@ -182,7 +182,7 @@ def visualize_box_launch_bundle( model: Optional[Any] = None, show_image: bool = False, max_annotations: int = 5, -) -> Image: +) -> Image.Image: """ Run this function locally to visualize what your Launch bundle will do on a local image Intended to verify that your Launch bundle returns annotations in the correct format, as well as sanity check @@ -256,7 +256,7 @@ def visualize_line_launch_bundle( model: Optional[Any] = None, show_image: bool = False, max_annotations: int = 5, -) -> Image: +) -> Image.Image: """ Run this function locally to visualize what your Launch bundle will do on a local image Intended to verify that your Launch bundle returns annotations in the correct format, as well as sanity check @@ -304,7 +304,7 @@ def visualize_polygon_launch_bundle( model: Optional[Any] = None, show_image: bool = False, max_annotations: int = 5, -) -> Image: +) -> Image.Image: """ Run this function locally to visualize what your Launch bundle will do on a local image Intended to verify that your Launch bundle returns annotations in the correct format, as well as sanity check From 5113b6fbdf4324f93b2da606a8bcb2d6e9fd0d9f Mon Sep 17 00:00:00 2001 From: Edwin Pavlovsky Date: Wed, 29 Apr 2026 16:28:54 -0400 Subject: [PATCH 13/19] Bump package version to 0.18.0 --- CHANGELOG.md | 26 ++++++++++++++++++++++++++ pyproject.toml | 2 +- 2 files changed, 27 insertions(+), 1 deletion(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index 23724f4e..d2d4f15b 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -5,6 +5,32 @@ All notable changes to the [Nucleus Python Client](https://github.com/scaleapi/n The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/), and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). +## [0.18.0](https://github.com/scaleapi/nucleus-python-client/releases/tag/v0.18.0) - 2026-04-29 + +### Removed +- Dropped support for Python 3.7, 3.8, and 3.9. The minimum supported Python version is now **3.10**. + +### Changed +- `DatasetItem.reference_id` is now typed `Optional[str]` (defaulting to `None`) instead of `str` with a `"DUMMY_VALUE"` sentinel. The field is still required at runtime: `__post_init__` now asserts `reference_id is not None`. This matches the existing docstring (already documented as `Optional[str]`) and removes the magic sentinel. +- `nucleus/async_utils.py` now passes `aiohttp.ClientTimeout(total=DEFAULT_NETWORK_TIMEOUT_SEC)` to `session.post`/`session.get` instead of a bare integer (no behavioral change; aligns with the typed `aiohttp` API). +- `NucleusClient.list_autotags` now always returns a `list` (`List[dict]`) regardless of the response shape, matching its declared return type. + +### Fixed +- All `mypy --ignore-missing-imports nucleus` errors and notes resolved (zero issues across all source files): + - `nucleus/evaluation_match.py`: widen `infer_confusion_category` parameters to `Optional[str]`. + - `nucleus/annotation.py`: default `TYPE_KEY` lookup to `""`; make `Segment.index` `Optional[int]`; type `Segment.to_payload`'s `payload` as `Dict[str, Any]`. + - `nucleus/prediction.py`: default `TYPE_KEY` lookup to `""`. + - `nucleus/camera_params.py`: make `camera_model`, `k1`–`k4`, `p1`, `p2` `Optional[...]` to match `from_json`. + - `nucleus/metrics/segmentation_utils.py` & `segmentation_metrics.py`: replace `np.float_` (removed in NumPy 2.x) with `np.float64`; use `shape[-1]` to satisfy NumPy stub typing. + - `nucleus/test_launch_integration.py`: use `Image.Image` (the class) instead of `Image` (the module) in return annotations. + - `nucleus/dataset.py`: default `dataset_item_jsons` to `[]` so the comprehension always iterates. + - `nucleus/scene.py`: annotate `Frame.__init__` and `VideoScene.info` so their bodies are type-checked. + +### Tooling / CI +- Cleaned up several pylint findings across the codebase (`E0606`, `W3101`, `R1737`, `R1728`, `C3001`, `C3002`, `W0719`). +- Updated pylint disables (`+R0913`, `-R0201`). +- Re-applied `black` formatting after the lint pass. + ## [0.17.14](https://github.com/scaleapi/nucleus-python-client/releases/tag/v0.17.14) - 2026-04-14 ### Changed diff --git a/pyproject.toml b/pyproject.toml index bf56d032..628ffa3a 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -25,7 +25,7 @@ ignore = ["E501", "E741", "E731", "F401"] # Easy ignore for getting it running [tool.poetry] name = "scale-nucleus" -version = "0.17.14" +version = "0.18.0" description = "The official Python client library for Nucleus, the Data Platform for AI" license = "MIT" authors = ["Scale AI Nucleus Team "] From afa8296a18274c36fd5bdb6e254e09ef170bea2b Mon Sep 17 00:00:00 2001 From: Edwin Pavlovsky Date: Wed, 29 Apr 2026 16:39:59 -0400 Subject: [PATCH 14/19] Fix pytest 9 fixture-mark error in tests/cli/conftest.py --- tests/cli/conftest.py | 3 --- 1 file changed, 3 deletions(-) diff --git a/tests/cli/conftest.py b/tests/cli/conftest.py index 6a5dc13b..56f2c1e4 100644 --- a/tests/cli/conftest.py +++ b/tests/cli/conftest.py @@ -137,9 +137,6 @@ def predictions(model, populated_dataset, annotations): @pytest.fixture(scope="module") -@pytest.mark.usefixtures( - "annotations" -) # Unit test needs to have annotations in the slice def scenario_test(CLIENT, test_slice, annotations, predictions): test_name = "scenario_test_" + get_uuid() # use uuid to make unique scenario_test = CLIENT.validate.create_scenario_test( From 02de2ccf9cde072e3ad0b22431b5702f4628a8a7 Mon Sep 17 00:00:00 2001 From: Edwin Pavlovsky Date: Wed, 29 Apr 2026 16:45:00 -0400 Subject: [PATCH 15/19] Fix pytest 9 fixture-mark error in tests/validate/conftest.py --- tests/validate/conftest.py | 7 +++---- 1 file changed, 3 insertions(+), 4 deletions(-) diff --git a/tests/validate/conftest.py b/tests/validate/conftest.py index 98dc1c1e..62b8c541 100644 --- a/tests/validate/conftest.py +++ b/tests/validate/conftest.py @@ -112,10 +112,9 @@ def predictions(model, validate_dataset, annotations): @pytest.fixture(scope="module") -@pytest.mark.usefixtures( - "annotations" -) # Scenario test needs to have annotations in the slice -def scenario_test(CLIENT, test_slice): +def scenario_test( + CLIENT, test_slice, annotations +): # `annotations` must run first so the slice has annotations test_name = "scenario_test_" + get_uuid() # use uuid to make unique scenario_test = CLIENT.validate.create_scenario_test( name=test_name, From 277b99a673e10418a42dcc3025554c7ae833e70d Mon Sep 17 00:00:00 2001 From: Edwin Pavlovsky Date: Wed, 29 Apr 2026 16:50:40 -0400 Subject: [PATCH 16/19] Fix pytest 9 fixture-mark errors in tests/test_scene.py and tests/test_video_scene.py --- tests/test_scene.py | 1 - tests/test_video_scene.py | 1 - 2 files changed, 2 deletions(-) diff --git a/tests/test_scene.py b/tests/test_scene.py index 6f595daa..a4eaf73e 100644 --- a/tests/test_scene.py +++ b/tests/test_scene.py @@ -54,7 +54,6 @@ def dataset_non_scene(CLIENT): @pytest.fixture(scope="module") -@pytest.mark.integration def scenes_fixture(dataset_scene_module): payload = TEST_LIDAR_SCENES scenes = [ diff --git a/tests/test_video_scene.py b/tests/test_video_scene.py index 65ea1a58..c30ebd63 100644 --- a/tests/test_video_scene.py +++ b/tests/test_video_scene.py @@ -41,7 +41,6 @@ def dataset_video_module(CLIENT): @pytest.fixture(scope="module") -@pytest.mark.integration def video_scenes(dataset_video_module): payload = TEST_VIDEO_SCENES scenes = [ From 60f8c497600813eb5d55f8f782f649baa11aeb9d Mon Sep 17 00:00:00 2001 From: Edwin Pavlovsky Date: Wed, 29 Apr 2026 17:01:59 -0400 Subject: [PATCH 17/19] Add client installation test for python 3.12, 3.13, 3.14 --- .circleci/config.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.circleci/config.yml b/.circleci/config.yml index a2a0d37f..19b13e17 100644 --- a/.circleci/config.yml +++ b/.circleci/config.yml @@ -156,7 +156,7 @@ workflows: - test_client_installation: matrix: parameters: - python_version: ['3.10', '3.11'] + python_version: ['3.10', '3.11', '3.12', '3.13', '3.14'] context: Nucleus build_test_publish: jobs: From 1f3e5680c218a834111fc066b3aaa0d8b78d95b6 Mon Sep 17 00:00:00 2001 From: Edwin Pavlovsky Date: Wed, 29 Apr 2026 17:09:41 -0400 Subject: [PATCH 18/19] Fix removed-alias np.float in segmentation_utils --- nucleus/metrics/segmentation_utils.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nucleus/metrics/segmentation_utils.py b/nucleus/metrics/segmentation_utils.py index 8e3987a5..9e1f0029 100644 --- a/nucleus/metrics/segmentation_utils.py +++ b/nucleus/metrics/segmentation_utils.py @@ -69,7 +69,7 @@ def max_iou_match_from_confusion(confusion): import numpy as np from scipy.optimize import linear_sum_assignment - iou = np.zeros(confusion.shape, dtype=np.float) + iou = np.zeros(confusion.shape, dtype=np.float64) with np.errstate(divide="ignore", invalid="ignore"): for i in range(confusion.shape[0]): for j in range(confusion.shape[1]): From 027af6598759bb973557d063aa269b1ba7c99bf8 Mon Sep 17 00:00:00 2001 From: Edwin Pavlovsky Date: Wed, 29 Apr 2026 17:36:24 -0400 Subject: [PATCH 19/19] Update CHANGELOG.md to include recent commits --- CHANGELOG.md | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index d2d4f15b..7dbedd92 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -8,7 +8,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 ## [0.18.0](https://github.com/scaleapi/nucleus-python-client/releases/tag/v0.18.0) - 2026-04-29 ### Removed -- Dropped support for Python 3.7, 3.8, and 3.9. The minimum supported Python version is now **3.10**. +- Dropped support for Python 3.7, 3.8, and 3.9. The minimum supported Python version is now **3.10**, and the SDK now supports Python **3.10, 3.11, 3.12, 3.13, and 3.14**. ### Changed - `DatasetItem.reference_id` is now typed `Optional[str]` (defaulting to `None`) instead of `str` with a `"DUMMY_VALUE"` sentinel. The field is still required at runtime: `__post_init__` now asserts `reference_id is not None`. This matches the existing docstring (already documented as `Optional[str]`) and removes the magic sentinel. @@ -27,9 +27,12 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 - `nucleus/scene.py`: annotate `Frame.__init__` and `VideoScene.info` so their bodies are type-checked. ### Tooling / CI +- Expanded CircleCI installation matrix from `[3.10, 3.11]` to `[3.10, 3.11, 3.12, 3.13, 3.14]`, so every supported Python version is exercised on every PR (build sdist, install with each extras combination, smoke-test `import nucleus`). +- Fixed pytest 9 fixture-mark errors across the test suite (`tests/cli/conftest.py`, `tests/validate/conftest.py`, `tests/test_scene.py`, `tests/test_video_scene.py`); pytest 9 turns `@pytest.mark.*` on a fixture into a hard error. - Cleaned up several pylint findings across the codebase (`E0606`, `W3101`, `R1737`, `R1728`, `C3001`, `C3002`, `W0719`). - Updated pylint disables (`+R0913`, `-R0201`). - Re-applied `black` formatting after the lint pass. +- Replaced removed NumPy alias `np.float` with `np.float64` in `nucleus/metrics/segmentation_utils.py` (in addition to the previously fixed `np.float_`). ## [0.17.14](https://github.com/scaleapi/nucleus-python-client/releases/tag/v0.17.14) - 2026-04-14