Remove deprecated stub_frames parameter from ophys interfaces

CHANGELOG.md

@@ -1,6 +1,7 @@
 # v0.9.4 (Upcoming)
 
 ## Removals, Deprecations and Changes
+* Removed the deprecated `stub_frames` parameter from ophys interfaces (`BaseImagingExtractorInterface`, `BaseSegmentationExtractorInterface`, `BrukerTiffMultiPlaneConverter`, `BrukerTiffSinglePlaneConverter`, `MiniscopeConverter`, `Suite2pSegmentationInterface`, `MinianSegmentationInterface`, `MiniscopeImagingDataInterface`). Use `stub_samples` instead. [PR #1676](https://github.com/catalystneuro/neuroconv/pull/1676)
 * Removed deprecated wrapper functions from `roiextractors_pending_deprecation.py` (March 2026 deadline): `add_imaging_plane_to_nwbfile`, `add_image_segmentation_to_nwbfile`, `add_photon_series_to_nwbfile`, `add_plane_segmentation_to_nwbfile`, `add_background_plane_segmentation_to_nwbfile`, `add_background_fluorescence_traces_to_nwbfile`, `add_summary_images_to_nwbfile`. [PR #1680](https://github.com/catalystneuro/neuroconv/pull/1680)
 * Added `*args` positional argument deprecation to `add_imaging_to_nwbfile` to enforce keyword-only arguments. Will be enforced on or after September 2026. [PR #1680](https://github.com/catalystneuro/neuroconv/pull/1680)
 * Added `*args` positional argument deprecation to `add_segmentation_to_nwbfile` to enforce keyword-only arguments. Will be enforced on or after September 2026. [PR #1687](https://github.com/catalystneuro/neuroconv/pull/1687)
@@ -15,6 +16,7 @@
 * Added dict-based metadata pipeline for imaging in `roiextractors.py`, supporting the new `MicroscopySeries`, `ImagingPlanes`, and `Devices` metadata format keyed by `metadata_key`. Old list-based functions are preserved (renamed with `_old_list_format` suffix) and dispatched automatically when `metadata_key` is not provided. [PR #1677](https://github.com/catalystneuro/neuroconv/pull/1677)
 
 ## Improvements
+* Added array-like protocol methods (`shape`, `ndim`, `__len__`, `__getitem__`) to all data chunk iterators (`SliceableDataChunkIterator`, `SpikeInterfaceRecordingDataChunkIterator`, `ImagingExtractorDataChunkIterator`, `VideoDataChunkIterator`). [PR #1673](https://github.com/catalystneuro/neuroconv/pull/1673)
 * Added tests for `OnePhotonSeries`, `processing/ophys` container, and non-iterative write to `TestAddImaging` (dict-based metadata pipeline). [PR #1685](https://github.com/catalystneuro/neuroconv/pull/1685)
 * Added column-first fast path for writing Units tables when the table is new (no append/merge). Uses `id.extend()` + `add_column()` instead of per-row `add_unit()` calls, reducing Python overhead for large sortings. [PR #1669](https://github.com/catalystneuro/neuroconv/pull/1669)
 

src/neuroconv/datainterfaces/behavior/video/video_utils.py

@@ -307,7 +307,7 @@ def _get_scaled_buffer_shape(self, buffer_gb: float, chunk_shape: tuple) -> tupl
         assert all(np.array(chunk_shape) > 0), f"Some dimensions of chunk_shape ({chunk_shape}) are less than zero!"
 
         sample_shape = self._sample_shape
-        series_shape = self._get_maxshape()
+        series_shape = self.shape
         dtype = self._get_dtype()
 
         buffer_shape = get_image_series_buffer_shape(
@@ -320,11 +320,51 @@ def _get_scaled_buffer_shape(self, buffer_gb: float, chunk_shape: tuple) -> tupl
 
         return buffer_shape
 
+    @property
+    def shape(self):
+        """Return (num_frames, height, width, channels) for this video."""
+        return (self._num_samples, *self._sample_shape)
+
+    @property
+    def ndim(self):
+        """Return the number of dimensions (always 4: frames x height x width x channels)."""
+        return len(self.shape)
+
+    def __len__(self):
+        """Return the number of frames in this video."""
+        return self._num_samples
+
+    def __getitem__(self, selection):
+        """Enable array-like slicing with random frame access for video data.
+
+        Unlike _get_data (which reads frames sequentially from the current cursor
+        position), this method seeks to the correct frame position first, reads the
+        requested range, and applies spatial slicing on the result.
+
+        Note that this mutates the video capture position, so concurrent access
+        from multiple threads is not safe.
+        """
+        resolved = self._convert_index_to_slices(selection)
+
+        # Seek to the correct frame position before reading
+        start_frame = resolved[0].start
+        end_frame = resolved[0].stop
+        self.video_capture_ob.current_frame = start_frame
+
+        num_frames = end_frame - start_frame
+        frames = np.empty(shape=(num_frames, *self.shape[1:]), dtype=self._dtype)
+        for frame_index in range(num_frames):
+            frames[frame_index] = next(self.video_capture_ob)
+
+        # Apply spatial slicing (height, width, channels)
+        spatial_selection = (slice(0, num_frames),) + resolved[1:]
+        return frames[spatial_selection]
+
     def _get_data(self, selection: tuple[slice]) -> np.ndarray:
         start_frame = selection[0].start
         end_frame = selection[0].stop
 
-        shape = (end_frame - start_frame, *self._maxshape[1:])
+        shape = (end_frame - start_frame, *self.shape[1:])
         frames = np.empty(shape=shape, dtype=self._dtype)
         for frame_number in range(end_frame - start_frame):
             frames[frame_number] = next(self.video_capture_ob)
@@ -334,4 +374,4 @@ def _get_dtype(self) -> np.dtype:
         return self._dtype
 
     def _get_maxshape(self) -> tuple[int, int, int, int]:
-        return (self._num_samples, *self._sample_shape)
+        return self.shape

src/neuroconv/datainterfaces/ophys/baseimagingextractorinterface.py

@@ -174,7 +174,6 @@ def add_to_nwbfile(
         photon_series_index: int = 0,
         parent_container: Literal["acquisition", "processing/ophys"] = "acquisition",
         stub_test: bool = False,
-        stub_frames: int | None = None,
         always_write_timestamps: bool = False,
         iterator_type: str | None = "v2",
         iterator_options: dict | None = None,
@@ -198,9 +197,6 @@ def add_to_nwbfile(
             under the "processing/ophys" module, by default "acquisition".
         stub_test : bool, optional
             If True, only writes a small subset of frames for testing purposes, by default False.
-        stub_frames : int, optional
-            .. deprecated:: February 2026
-                Use `stub_samples` instead.
         always_write_timestamps : bool, optional
             Whether to always write timestamps, by default False.
         iterator_type : {"v2", None}, default: "v2"
@@ -217,7 +213,7 @@ def add_to_nwbfile(
             via ``get_default_backend_configuration()`` and ``configure_backend()`` after calling
             this method. See the backend configuration documentation for details.
         stub_samples : int, default: 100
-            The number of samples (frames) to use for testing. When provided, takes precedence over `stub_frames`.
+            The number of samples (frames) to use for testing.
         """
 
         from ...tools.roiextractors import add_imaging_to_nwbfile
@@ -229,7 +225,6 @@ def add_to_nwbfile(
                 "photon_series_index",
                 "parent_container",
                 "stub_test",
-                "stub_frames",
                 "always_write_timestamps",
                 "iterator_type",
                 "iterator_options",
@@ -256,30 +251,14 @@ def add_to_nwbfile(
             photon_series_index = positional_values.get("photon_series_index", photon_series_index)
             parent_container = positional_values.get("parent_container", parent_container)
             stub_test = positional_values.get("stub_test", stub_test)
-            stub_frames = positional_values.get("stub_frames", stub_frames)
             always_write_timestamps = positional_values.get("always_write_timestamps", always_write_timestamps)
             iterator_type = positional_values.get("iterator_type", iterator_type)
             iterator_options = positional_values.get("iterator_options", iterator_options)
             stub_samples = positional_values.get("stub_samples", stub_samples)
 
-        # Handle deprecation of stub_frames in favor of stub_samples
-        if stub_frames is not None and stub_samples != 100:
-            raise ValueError("Cannot specify both 'stub_frames' and 'stub_samples'. Use 'stub_samples' only.")
-
-        if stub_frames is not None:
-            warnings.warn(
-                "The 'stub_frames' parameter is deprecated and will be removed on or after February 2026. "
-                "Use 'stub_samples' instead.",
-                FutureWarning,
-                stacklevel=2,
-            )
-            effective_stub_samples = stub_frames
-        else:
-            effective_stub_samples = stub_samples
-
         if stub_test:
-            effective_stub_samples = min([effective_stub_samples, self.imaging_extractor.get_num_samples()])
-            imaging_extractor = self.imaging_extractor.slice_samples(start_sample=0, end_sample=effective_stub_samples)
+            stub_samples = min([stub_samples, self.imaging_extractor.get_num_samples()])
+            imaging_extractor = self.imaging_extractor.slice_samples(start_sample=0, end_sample=stub_samples)
         else:
             imaging_extractor = self.imaging_extractor
 

src/neuroconv/datainterfaces/ophys/basesegmentationextractorinterface.py

@@ -155,7 +155,6 @@ def add_to_nwbfile(
         metadata: dict | None = None,
         *args,  # TODO: change to * (keyword only) on or after August 2026
         stub_test: bool = False,
-        stub_frames: int | None = None,
         include_background_segmentation: bool = False,
         include_roi_centroids: bool = True,
         include_roi_acceptance: bool = True,
@@ -175,9 +174,6 @@ def add_to_nwbfile(
         metadata : dict, optional
             The metadata for the interface
         stub_test : bool, default: False
-        stub_frames : int, optional
-            .. deprecated:: February 2026
-                Use `stub_samples` instead.
         include_background_segmentation : bool, default: False
             Whether to include the background plane segmentation and fluorescence traces in the NWB file. If False,
             neuropil traces are included in the main plane segmentation rather than the background plane segmentation.
@@ -210,7 +206,7 @@ def add_to_nwbfile(
             via ``get_default_backend_configuration()`` and ``configure_backend()`` after calling
             this method. See the backend configuration documentation for details.
         stub_samples : int, default: 100
-            The number of samples (frames) to use for testing. When provided, takes precedence over `stub_frames`.
+            The number of samples (frames) to use for testing.
         roi_ids_to_add : list of str or int, optional
             The ROI IDs to include in the NWB file. If ``None`` (default), all ROIs are included.
             Use this to filter out rejected or unwanted ROIs and reduce file size.
@@ -228,7 +224,6 @@ def add_to_nwbfile(
         if args:
             parameter_names = [
                 "stub_test",
-                "stub_frames",
                 "include_background_segmentation",
                 "include_roi_centroids",
                 "include_roi_acceptance",
@@ -256,7 +251,6 @@ def add_to_nwbfile(
                 stacklevel=2,
             )
             stub_test = positional_values.get("stub_test", stub_test)
-            stub_frames = positional_values.get("stub_frames", stub_frames)
             include_background_segmentation = positional_values.get(
                 "include_background_segmentation", include_background_segmentation
             )
@@ -268,31 +262,14 @@ def add_to_nwbfile(
             stub_samples = positional_values.get("stub_samples", stub_samples)
             roi_ids_to_add = positional_values.get("roi_ids_to_add", roi_ids_to_add)
 
-        # Handle deprecation of stub_frames in favor of stub_samples
-        if stub_frames is not None and stub_samples != 100:
-            raise ValueError("Cannot specify both 'stub_frames' and 'stub_samples'. Use 'stub_samples' only.")
-
-        if stub_frames is not None:
-            warnings.warn(
-                "The 'stub_frames' parameter is deprecated and will be removed on or after February 2026. "
-                "Use 'stub_samples' instead.",
-                FutureWarning,
-                stacklevel=2,
-            )
-            effective_stub_samples = stub_frames
-        else:
-            effective_stub_samples = stub_samples
-
         segmentation_extractor = self.segmentation_extractor
 
         if roi_ids_to_add is not None:
             segmentation_extractor = segmentation_extractor.select_rois(roi_ids=roi_ids_to_add)
 
         if stub_test:
-            effective_stub_samples = min([effective_stub_samples, segmentation_extractor.get_num_samples()])
-            segmentation_extractor = segmentation_extractor.slice_samples(
-                start_sample=0, end_sample=effective_stub_samples
-            )
+            stub_samples = min([stub_samples, segmentation_extractor.get_num_samples()])
+            segmentation_extractor = segmentation_extractor.slice_samples(start_sample=0, end_sample=stub_samples)
 
         metadata = metadata or self.get_metadata()
 

src/neuroconv/datainterfaces/ophys/brukertiff/brukertiffconverter.py

@@ -1,4 +1,3 @@
-import warnings
 from typing import Literal
 
 from pydantic import DirectoryPath, validate_call
@@ -88,7 +87,6 @@ def add_to_nwbfile(
         nwbfile: NWBFile,
         metadata,
         stub_test: bool = False,
-        stub_frames: int | None = None,
         stub_samples: int = 100,
     ):
         """
@@ -102,34 +100,16 @@ def add_to_nwbfile(
             Metadata dictionary containing information to describe the data being added to the NWB file.
         stub_test : bool, optional
             If True, only a subset of the data (up to `stub_samples`) will be added for testing purposes. Default is False.
-        stub_frames : int, optional
-            .. deprecated:: February 2026
-                Use `stub_samples` instead.
         stub_samples : int, default: 100
-            The number of samples (frames) to use for testing. When provided, takes precedence over `stub_frames`.
+            The number of samples (frames) to use for testing.
         """
-        # Handle deprecation of stub_frames in favor of stub_samples
-        if stub_frames is not None and stub_samples != 100:
-            raise ValueError("Cannot specify both 'stub_frames' and 'stub_samples'. Use 'stub_samples' only.")
-
-        if stub_frames is not None:
-            warnings.warn(
-                "The 'stub_frames' parameter is deprecated and will be removed on or after February 2026. "
-                "Use 'stub_samples' instead.",
-                FutureWarning,
-                stacklevel=2,
-            )
-            effective_stub_samples = stub_frames
-        else:
-            effective_stub_samples = stub_samples
-
         for photon_series_index, (interface_name, data_interface) in enumerate(self.data_interface_objects.items()):
             data_interface.add_to_nwbfile(
                 nwbfile=nwbfile,
                 metadata=metadata,
                 photon_series_index=photon_series_index,
                 stub_test=stub_test,
-                stub_samples=effective_stub_samples,
+                stub_samples=stub_samples,
             )
 
 
@@ -196,7 +176,6 @@ def add_to_nwbfile(
         nwbfile: NWBFile,
         metadata,
         stub_test: bool = False,
-        stub_frames: int | None = None,
         stub_samples: int = 100,
     ):
         """
@@ -211,32 +190,14 @@ def add_to_nwbfile(
         stub_test : bool, optional
             If True, only a subset of the data (defined by `stub_samples`) will be added for testing purposes,
             by default False.
-        stub_frames : int, optional
-            .. deprecated:: February 2026
-                Use `stub_samples` instead.
         stub_samples : int, default: 100
-            The number of samples (frames) to use for testing. When provided, takes precedence over `stub_frames`.
+            The number of samples (frames) to use for testing.
         """
-        # Handle deprecation of stub_frames in favor of stub_samples
-        if stub_frames is not None and stub_samples != 100:
-            raise ValueError("Cannot specify both 'stub_frames' and 'stub_samples'. Use 'stub_samples' only.")
-
-        if stub_frames is not None:
-            warnings.warn(
-                "The 'stub_frames' parameter is deprecated and will be removed on or after February 2026. "
-                "Use 'stub_samples' instead.",
-                FutureWarning,
-                stacklevel=2,
-            )
-            effective_stub_samples = stub_frames
-        else:
-            effective_stub_samples = stub_samples
-
         for photon_series_index, (interface_name, data_interface) in enumerate(self.data_interface_objects.items()):
             data_interface.add_to_nwbfile(
                 nwbfile=nwbfile,
                 metadata=metadata,
                 photon_series_index=photon_series_index,
                 stub_test=stub_test,
-                stub_samples=effective_stub_samples,
+                stub_samples=stub_samples,
             )

src/neuroconv/datainterfaces/ophys/minian/miniandatainterface.py

@@ -133,7 +133,7 @@ def add_to_nwbfile(
         metadata: Optional[dict] = None,
         *args,  # TODO: change to * (keyword only) on or after August 2026
         stub_test: bool = False,
-        stub_frames: int = 100,
+        stub_samples: int = 100,
         include_background_segmentation: bool = True,
         include_roi_centroids: bool = True,
         include_roi_acceptance: bool = False,
@@ -145,7 +145,7 @@ def add_to_nwbfile(
         if args:
             parameter_names = [
                 "stub_test",
-                "stub_frames",
+                "stub_samples",
                 "include_background_segmentation",
                 "include_roi_centroids",
                 "include_roi_acceptance",
@@ -172,7 +172,7 @@ def add_to_nwbfile(
                 stacklevel=2,
             )
             stub_test = positional_values.get("stub_test", stub_test)
-            stub_frames = positional_values.get("stub_frames", stub_frames)
+            stub_samples = positional_values.get("stub_samples", stub_samples)
             include_background_segmentation = positional_values.get(
                 "include_background_segmentation", include_background_segmentation
             )
@@ -186,7 +186,7 @@ def add_to_nwbfile(
             nwbfile=nwbfile,
             metadata=metadata,
             stub_test=stub_test,
-            stub_frames=stub_frames,
+            stub_samples=stub_samples,
             include_background_segmentation=include_background_segmentation,
             include_roi_centroids=include_roi_centroids,
             include_roi_acceptance=include_roi_acceptance,