Coverage for python/lsst/images/_masked_image.py: 52%
207 statements
« prev ^ index » next coverage.py v7.16.0, created at 2026-09-28 02:47 -0700
1# This file is part of lsst-images.
2#
3# Developed for the LSST Data Management System.
4# This product includes software developed by the LSST Project
5# (https://www.lsst.org).
6# See the COPYRIGHT file at the top-level directory of this distribution
7# for details of code ownership.
8#
9# Use of this source code is governed by a 3-clause BSD-style
10# license that can be found in the LICENSE file.
12from __future__ import annotations
14__all__ = ("MaskedImage", "MaskedImageSerializationModel")
16import functools
17from collections.abc import Mapping
18from contextlib import ExitStack
19from types import EllipsisType
20from typing import TYPE_CHECKING, Any, ClassVar, Literal
22import astropy.io.fits
23import astropy.units
24import astropy.wcs
25import numpy as np
26import pydantic
28from lsst.resources import ResourcePath, ResourcePathExpression
30from . import fits
31from ._generalized_image import GeneralizedImage
32from ._geom import Box
33from ._image import DEFAULT_PIXEL_FRAME, Image, ImageSerializationModel
34from ._mask import Mask, MaskPlane, MaskSchema, MaskSerializationModel
35from ._transforms import Frame, SkyProjection, SkyProjectionSerializationModel
36from .describe import DescribeOptions, FieldRole, Report, ReportField
37from .serialization import (
38 ArchiveTree,
39 InputArchive,
40 InvalidParameterError,
41 MetadataValue,
42 OutputArchive,
43)
44from .utils import is_none
46if TYPE_CHECKING:
47 try:
48 from lsst.afw.image import MaskedImage as LegacyMaskedImage
49 except ImportError:
50 type LegacyMaskedImage = Any # type: ignore[no-redef]
51 try:
52 from lsst.daf.base import PropertyList
53 except ImportError:
54 type PropertyList = Any # type: ignore[no-redef]
57class MaskedImage(GeneralizedImage):
58 """A multi-plane image with data (image), mask, and variance planes.
60 Parameters
61 ----------
62 image
63 The main image plane. If this has a `SkyProjection`, it will be used
64 for all planes unless a ``sky_projection`` is passed separately.
65 mask
66 A bitmask image that annotates the main image plane. Must have the
67 same bounding box as ``image`` if provided. Any attached
68 ``sky_projection`` is replaced (possibly by `None`).
69 variance
70 The per-pixel uncertainty of the main image as an image of variance
71 values. Must have the same bounding box as ``image`` if provided, and
72 its units must be the square of ``image.unit`` or `None`.
73 Values default to ``1.0``. Any attached ``sky_projection`` is replaced
74 (possibly by `None`).
75 mask_schema
76 Schema for the mask plane. Must be provided if and only if ``mask`` is
77 not provided.
78 sky_projection
79 Projection that maps the pixel grid to the sky.
80 metadata
81 Arbitrary flexible metadata to associate with the image.
82 """
84 def __init__(
85 self,
86 image: Image,
87 *,
88 mask: Mask | None = None,
89 variance: Image | None = None,
90 mask_schema: MaskSchema | None = None,
91 sky_projection: SkyProjection[Any] | None = None,
92 metadata: dict[str, MetadataValue] | None = None,
93 ) -> None:
94 super().__init__(metadata)
95 if sky_projection is None:
96 sky_projection = image.sky_projection
97 else:
98 image = image.view(sky_projection=sky_projection)
99 if mask is None:
100 if mask_schema is None:
101 raise TypeError("'mask_schema' must be provided if 'mask' is not.")
102 mask = Mask(schema=mask_schema, bbox=image.bbox, sky_projection=sky_projection)
103 elif mask_schema is not None:
104 raise TypeError("'mask_schema' may not be provided if 'mask' is.")
105 else:
106 if image.bbox != mask.bbox:
107 raise ValueError(f"Image ({image.bbox}) and mask ({mask.bbox}) bboxes do not agree.")
108 mask = mask.view(sky_projection=sky_projection)
109 if variance is None:
110 variance = Image(
111 1.0,
112 dtype=np.float32,
113 bbox=image.bbox,
114 unit=None if image.unit is None else image.unit**2,
115 sky_projection=sky_projection,
116 )
117 else:
118 if image.bbox != variance.bbox:
119 raise ValueError(f"Image ({image.bbox}) and variance ({variance.bbox}) bboxes do not agree.")
120 variance = variance.view(sky_projection=sky_projection)
121 if image.unit is None:
122 if variance.unit is not None:
123 raise ValueError(f"Image has no units but variance does ({variance.unit}).")
124 elif variance.unit is None:
125 variance = variance.view(unit=image.unit**2)
126 elif variance.unit != image.unit**2:
127 raise ValueError(
128 f"Variance unit ({variance.unit}) should be the square of the image unit ({image.unit})."
129 )
130 self._image = image
131 self._mask = mask
132 self._variance = variance
134 @property
135 def image(self) -> Image:
136 """The main image plane (`~lsst.images.Image`)."""
137 return self._image
139 @property
140 def mask(self) -> Mask:
141 """The mask plane (`~lsst.images.Mask`).
143 Assigning a new `~lsst.images.Mask` (for example one returned by
144 `~lsst.images.Mask.add_planes`) replaces the mask plane. The new mask
145 must share this image's bounding box; its sky projection is replaced
146 with the image's.
147 """
148 return self._mask
150 @mask.setter
151 def mask(self, value: Mask) -> None:
152 if value.bbox != self._image.bbox:
153 raise ValueError(f"Image ({self._image.bbox}) and mask ({value.bbox}) bboxes do not agree.")
154 if self._image.sky_projection != value.sky_projection: 154 ↛ 155line 154 didn't jump to line 155 because the condition on line 154 was never true
155 raise ValueError("Image sky projection and new mask sky projection do not agree")
156 # Use a view to ensure that the WCS instances across the masked image
157 # are the same projections.
158 self._mask = value.view(sky_projection=self._image.sky_projection)
160 @property
161 def variance(self) -> Image:
162 """The variance plane (`~lsst.images.Image`)."""
163 return self._variance
165 @property
166 def bbox(self) -> Box:
167 """The bounding box shared by all three image planes
168 (`~lsst.images.Box`).
169 """
170 return self._image.bbox
172 @property
173 def unit(self) -> astropy.units.UnitBase | None:
174 """The units of the image plane (`astropy.units.Unit` | `None`)."""
175 return self._image.unit
177 @property
178 def sky_projection(self) -> SkyProjection[Any] | None:
179 """The projection that maps the pixel grid to the sky
180 (`~lsst.images.SkyProjection` | `None`).
181 """
182 return self._image.sky_projection
184 def __getitem__(self, bbox: Box | EllipsisType) -> MaskedImage:
185 bbox, _ = self._handle_getitem_args(bbox)
186 return self._transfer_metadata(
187 MaskedImage(
188 # Projection and obs_info propagate from the image.
189 self.image[bbox],
190 mask=self.mask[bbox],
191 variance=self.variance[bbox],
192 ),
193 bbox=bbox,
194 )
196 def __setitem__(self, bbox: Box | EllipsisType, value: MaskedImage) -> None:
197 self._image[bbox] = value.image
198 self._mask[bbox] = value.mask
199 self._variance[bbox] = value.variance
201 def _describe(self, options: DescribeOptions = DescribeOptions(), /) -> Report:
202 """Return a `Report` describing this masked image.
204 Parameters
205 ----------
206 options : `DescribeOptions`, optional
207 Rendering options; forwarded to all children.
208 """
209 # The image and mask schema are rendered as children below, and the
210 # image renders as ``Image(bbox, dtype)``, which would restate the
211 # shared bbox. Both are REPR_ONLY so only repr sees them.
212 fields = [
213 ReportField(
214 label="image",
215 value=self.image,
216 repr_value=repr(self.image),
217 positional=True,
218 role=FieldRole.REPR_ONLY,
219 ),
220 ReportField(
221 label="mask_schema",
222 value=self.mask.schema,
223 repr_value=repr(self.mask.schema),
224 role=FieldRole.REPR_ONLY,
225 ),
226 ReportField(label="bbox", value=self.bbox, repr_value=repr(self.bbox), role=FieldRole.DERIVED),
227 ]
228 summary = f"MaskedImage({self.image!s}, {list(self.mask.schema.names)})"
229 if options.brief:
230 return Report(type_name="MaskedImage", summary=summary, fields=fields)
231 plane = options.for_child("sky_projection", "bbox")
232 children = {
233 "image": self._image._describe(plane),
234 "mask": self._mask._describe(plane),
235 "variance": self._variance._describe(plane),
236 }
237 if self.sky_projection is not None: 237 ↛ 238line 237 didn't jump to line 238 because the condition on line 237 was never true
238 children["sky_projection"] = self.sky_projection._describe(options.for_child(), bbox=self.bbox)
239 return Report(
240 type_name="MaskedImage",
241 summary=summary,
242 fields=fields,
243 children=children,
244 )
246 def copy(self) -> MaskedImage:
247 """Deep-copy the masked image and metadata."""
248 return self._transfer_metadata(
249 MaskedImage(image=self._image.copy(), mask=self._mask.copy(), variance=self._variance.copy()),
250 copy=True,
251 )
253 def serialize(self, archive: OutputArchive[Any]) -> MaskedImageSerializationModel[Any]:
254 """Serialize the masked image to an output archive.
256 Parameters
257 ----------
258 archive
259 Archive to write to.
260 """
261 return self._serialize_impl(MaskedImageSerializationModel, archive)
263 def _serialize_impl[M: MaskedImageSerializationModel[Any]](
264 self, model_type: type[M], archive: OutputArchive[Any]
265 ) -> M:
266 serialized_image = archive.serialize_direct(
267 "image", functools.partial(self.image.serialize, save_projection=False)
268 )
269 serialized_mask = archive.serialize_direct(
270 "mask", functools.partial(self.mask.serialize, save_projection=False)
271 )
272 serialized_variance = archive.serialize_direct(
273 "variance", functools.partial(self.variance.serialize, save_projection=False)
274 )
275 serialized_projection = (
276 archive.serialize_direct("sky_projection", self.sky_projection.serialize)
277 if self.sky_projection is not None
278 else None
279 )
280 # When M is a subclass of MaskedImageSerializationModel, it probably
281 # has fields that aren't being set here. We're intentionally making use
282 # of the fact that model_construct doesn't guard against that so we can
283 # instead set them in a subclass implementation later, after calling
284 # super() to construct an instance of the right type. MyPy is actually
285 # fine with this, but only because it incorrectly thinks model_type is
286 # only ever MaskedImageSerializationModel, not a subclass, and that
287 # makes it incorrectly unhappy about the return type.
288 return model_type.model_construct( # type: ignore[return-value]
289 image=serialized_image,
290 mask=serialized_mask,
291 variance=serialized_variance,
292 sky_projection=serialized_projection,
293 metadata=self.metadata,
294 )
296 @staticmethod
297 def _get_archive_tree_type[P: pydantic.BaseModel](
298 pointer_type: type[P],
299 ) -> type[MaskedImageSerializationModel[P]]:
300 """Return the serialization model type for this object for an archive
301 type that uses the given pointer type.
302 """
303 return MaskedImageSerializationModel[pointer_type] # type: ignore
305 @staticmethod
306 def from_legacy(
307 legacy: LegacyMaskedImage,
308 *,
309 unit: astropy.units.UnitBase | None = None,
310 plane_map: Mapping[str, MaskPlane] | None = None,
311 sky_projection: SkyProjection[Any] | None = None,
312 ) -> MaskedImage:
313 """Convert from an `lsst.afw.image.MaskedImage` instance.
315 Parameters
316 ----------
317 legacy
318 An `lsst.afw.image.MaskedImage` instance that will share image and
319 variance (but not mask) pixel data with the returned object.
320 unit
321 Units of the image.
322 plane_map
323 A mapping from legacy mask plane name to the new plane name and
324 description. If not provided, the right legacy mask plane will be
325 guessed, but this can depend on which mask planes the legacy
326 mask actually has set.
327 sky_projection
328 Projection from pixels to xky.
329 """
330 return MaskedImage(
331 image=Image.from_legacy(legacy.getImage(), unit, sky_projection=sky_projection),
332 mask=Mask.from_legacy(legacy.getMask(), plane_map, sky_projection=sky_projection),
333 variance=Image.from_legacy(legacy.getVariance(), sky_projection=sky_projection),
334 )
336 def to_legacy(
337 self, *, copy: bool | None = None, plane_map: Mapping[str, MaskPlane] | None = None
338 ) -> LegacyMaskedImage:
339 """Convert to an `lsst.afw.image.MaskedImage` instance.
341 Parameters
342 ----------
343 copy
344 If `True`, always copy the image and variance pixel data.
345 If `False`, return a view, and raise `TypeError` if the pixel data
346 is read-only (this is not supported by afw). If `None`, only copy
347 if the pixel data is read-only. Mask pixel data is always copied.
348 plane_map
349 A mapping from legacy mask plane name to the new plane name and
350 description.
351 """
352 import lsst.afw.image
354 return lsst.afw.image.MaskedImage(
355 self.image.to_legacy(copy=copy),
356 mask=self.mask.to_legacy(plane_map),
357 variance=self.variance.to_legacy(copy=copy),
358 dtype=self.image.array.dtype,
359 )
361 @classmethod
362 def from_hdu_list(
363 cls,
364 hdu_list: astropy.io.fits.HDUList,
365 *,
366 fits_wcs_frame: Frame | None = DEFAULT_PIXEL_FRAME,
367 ) -> MaskedImage:
368 """Reconstruct a `~lsst.images.MaskedImage` from a cut-down
369 ``lsst.images`` FITS HDU list.
371 This assumes the ``PRIMARY``, ``IMAGE``, ``MASK``, and ``VARIANCE``
372 HDUs written for the masked-image cut-outs produced by
373 ``dax_images_cutout``: a real ``lsst.images`` file with its JSON-tree,
374 index, and any nested-archive HDUs dropped. The reconstructed object
375 can be re-serialized as a normal ``lsst.images`` file (with schema and
376 index) so it can be read with the full ``lsst.images`` infrastructure.
378 Parameters
379 ----------
380 hdu_list
381 HDU list with ``IMAGE``, ``MASK``, and ``VARIANCE`` extensions and
382 a primary HDU.
383 fits_wcs_frame
384 Pixel-grid `~lsst.images.Frame` for the
385 `~lsst.images.SkyProjection` reconstructed from the FITS WCS.
386 Defaults to a plain pixel frame; pass `None` to skip attaching a
387 projection.
389 Returns
390 -------
391 `~lsst.images.MaskedImage`
392 The reconstructed masked image.
394 Raises
395 ------
396 ValueError
397 Raised if the ``MASK`` HDU has neither ``MSKN`` nor ``MP_`` mask-
398 plane cards, since the mask schema cannot then be reconstructed, or
399 if ``hdu_list`` contains more than one ``MASK`` HDU (multiple
400 ``MASK`` extensions, distinguished by ``EXTVER``, are not handled
401 here and would otherwise be silently dropped).
403 Notes
404 -----
405 Both mask-plane conventions are supported: the self-describing
406 ``MSKN``/``MSKM``/``MSKD`` cards written by ``lsst.images``, and the
407 legacy `lsst.afw.image` ``MP_*`` cards (as produced by
408 ``dax_images_cutout`` from afw-written images). Legacy masks are
409 mapped to a new schema with the same plane-guessing used by
410 `read_legacy`.
412 Unlike `read_legacy`, the legacy ``MP_*`` mask-plane cards are kept
413 (not stripped) for backwards compatibility, since this path
414 reconstructs a file that may still be read by legacy tooling. They are
415 re-indexed to the reshuffled schema so each ``MP_`` bit matches the
416 plane's position in the written ``MSKN`` layout.
418 The headers of the HDUs in ``hdu_list`` are modified in place: the WCS
419 and mask-schema cards interpreted here are stripped from the caller's
420 headers.
421 """
422 n_mask_hdus = sum(1 for hdu in hdu_list if hdu.name == "MASK")
423 if n_mask_hdus > 1:
424 raise ValueError(
425 f"Found {n_mask_hdus} MASK HDUs; from_hdu_list supports only a single MASK "
426 "extension and would otherwise silently drop mask information from the others."
427 )
428 mask_hdu = hdu_list["MASK"]
429 if not any(card.keyword.startswith(("MSKN", "MP_")) for card in mask_hdu.header.cards):
430 raise ValueError("MASK HDU has no MSKN or MP_ cards; cannot reconstruct the mask schema.")
431 opaque_metadata = fits.FitsOpaqueMetadata()
432 opaque_metadata.add_cutdown_primary_header(hdu_list[0].header)
433 image = Image._read_legacy_hdu(
434 hdu_list["IMAGE"], opaque_metadata, preserve_bintable=None, fits_wcs_frame=fits_wcs_frame
435 )
436 mask = Mask._read_legacy_hdu(
437 mask_hdu, opaque_metadata, fits_wcs_frame=None, strip_legacy_planes=False
438 )
439 variance = Image._read_legacy_hdu(
440 hdu_list["VARIANCE"], opaque_metadata, preserve_bintable=None, fits_wcs_frame=None
441 )
442 result = cls(image, mask=mask, variance=variance)
443 result._opaque_metadata = opaque_metadata
444 return result
446 @staticmethod
447 def read_legacy(
448 uri: ResourcePathExpression,
449 *,
450 preserve_quantization: bool = False,
451 plane_map: Mapping[str, MaskPlane] | None = None,
452 component: Literal["image", "mask", "variance"] | None = None,
453 fits_wcs_frame: Frame | None = None,
454 ) -> Any:
455 """Read a FITS file written by `lsst.afw.image.MaskedImage.writeFits`.
457 Parameters
458 ----------
459 uri
460 URI or file name.
461 preserve_quantization
462 If `True`, ensure that writing the masked image back out again will
463 exactly preserve quantization-compressed pixel values. This causes
464 the image and variance plane arrays to be marked as read-only and
465 stores the original binary table data for those planes in memory.
466 If the `~lsst.images.MaskedImage` is copied, the precompressed
467 pixel values are not transferred to the copy.
468 plane_map
469 A mapping from legacy mask plane name to the new plane name and
470 description. If not provided, the right legacy mask plane will be
471 guessed, but this can depend on which mask planes the legacy
472 mask actually has set.
473 component
474 A component to read instead of the full image.
475 fits_wcs_frame
476 If not `None` and the HDU containing the image plane has a FITS
477 WCS, attach a `~lsst.images.SkyProjection` to the returned masked
478 image by converting that WCS. When ``component`` is one of
479 ``"image"``, ``"mask"``, or ``"variance"``, a FITS WCS from the
480 component HDU is used instead (all three should have the same WCS).
481 """
482 fs, fspath = ResourcePath(uri).to_fsspec()
483 with fs.open(fspath) as stream, astropy.io.fits.open(stream) as hdu_list:
484 return MaskedImage._read_legacy_hdus(
485 hdu_list,
486 uri,
487 preserve_quantization=preserve_quantization,
488 plane_map=plane_map,
489 component=component,
490 fits_wcs_frame=fits_wcs_frame,
491 )
493 @staticmethod
494 def _read_legacy_hdus(
495 hdu_list: astropy.io.fits.HDUList,
496 uri: ResourcePathExpression,
497 *,
498 opaque_metadata: fits.FitsOpaqueMetadata | None = None,
499 preserve_quantization: bool = False,
500 plane_map: Mapping[str, MaskPlane] | None = None,
501 component: Literal["image", "mask", "variance"] | None,
502 fits_wcs_frame: Frame | None = None,
503 ) -> Any:
504 if opaque_metadata is None:
505 opaque_metadata = fits.FitsOpaqueMetadata()
506 opaque_metadata.extract_legacy_primary_header(hdu_list[0].header)
507 image_bintable_hdu: astropy.io.fits.BinTableHDU | None = None
508 variance_bintable_hdu: astropy.io.fits.BinTableHDU | None = None
509 result: Any
510 with ExitStack() as exit_stack:
511 if preserve_quantization:
512 fs, fspath = ResourcePath(uri).to_fsspec()
513 bintable_stream = exit_stack.enter_context(fs.open(fspath))
514 bintable_hdu_list = exit_stack.enter_context(
515 astropy.io.fits.open(bintable_stream, disable_image_compression=True)
516 )
517 image_bintable_hdu = bintable_hdu_list[1]
518 variance_bintable_hdu = bintable_hdu_list[3]
519 if component is None or component == "image":
520 image = Image._read_legacy_hdu(
521 hdu_list[1],
522 opaque_metadata,
523 preserve_bintable=image_bintable_hdu,
524 fits_wcs_frame=fits_wcs_frame,
525 )
526 if component == "image":
527 result = image
528 if component is None or component == "mask":
529 mask = Mask._read_legacy_hdu(
530 hdu_list[2],
531 opaque_metadata,
532 plane_map=plane_map,
533 fits_wcs_frame=fits_wcs_frame if component is not None else None,
534 )
535 if component == "mask":
536 result = mask
537 if component is None or component == "variance":
538 variance = Image._read_legacy_hdu(
539 hdu_list[3],
540 opaque_metadata,
541 preserve_bintable=variance_bintable_hdu,
542 fits_wcs_frame=fits_wcs_frame if component is not None else None,
543 )
544 if component == "variance":
545 result = variance
546 if component is None:
547 result = MaskedImage(image, mask=mask, variance=variance)
548 result._opaque_metadata = opaque_metadata
549 return result
551 def _fill_legacy_metadata(self, legacy_metadata: PropertyList) -> None:
552 """Fill a legacy PropertyList with metadata suitable for an
553 `lsst.afw.image.Exposure` representation of this object.
554 """
555 # We just dump all of the FITS headers and non-FITS metadata into the
556 # legacy metadata component, to make sure we have everything. We dump
557 # the latter into a pair of special cards to be able to full round-trip
558 # them (including case preservation).
559 if self.unit is not None: 559 ↛ 568line 559 didn't jump to line 568 because the condition on line 559 was always true
560 try:
561 legacy_metadata["BUNIT"] = self.unit.to_string(format="fits")
562 except ValueError:
563 # Write units that astropy doesn't think FITS will accept
564 # anyway; FITS standard says "SHOULD" about using its
565 # recommended units, and coloring outside the lines is better
566 # than lying.
567 legacy_metadata["BUNIT"] = self.unit.to_string()
568 if isinstance(self._opaque_metadata, fits.FitsOpaqueMetadata): 568 ↛ 581line 568 didn't jump to line 581 because the condition on line 568 was always true
569 # Group all cards with the same keyword into a list, and write them
570 # all at once.
571 grouped: dict[str, list[Any]] = {}
572 for card in self._opaque_metadata.headers[fits.ExtensionKey()].cards:
573 if not card.keyword: 573 ↛ 575line 573 didn't jump to line 575 because the condition on line 573 was never true
574 # Skip blanks
575 continue
576 if card.keyword not in grouped:
577 grouped[card.keyword] = []
578 grouped[card.keyword].append(card.value)
579 for keyword, values in grouped.items():
580 legacy_metadata[keyword] = values
581 for n, (k, v) in enumerate(self.metadata.items()):
582 legacy_metadata[f"LSST IMAGES KEY {n + 1}"] = k
583 legacy_metadata[f"LSST IMAGES VALUE {n + 1}"] = v
586class MaskedImageSerializationModel[P: pydantic.BaseModel](ArchiveTree):
587 """A Pydantic model used to represent a serialized `MaskedImage`."""
589 SCHEMA_NAME: ClassVar[str] = "masked_image"
590 SCHEMA_VERSION: ClassVar[str] = "1.0.0"
591 MIN_READ_VERSION: ClassVar[int] = 1
592 PUBLIC_TYPE: ClassVar[type] = MaskedImage
594 image: ImageSerializationModel[P] = pydantic.Field(description="The main data image.")
595 mask: MaskSerializationModel[P] = pydantic.Field(
596 description="Bitmask that annotates the main image's pixels."
597 )
598 variance: ImageSerializationModel[P] = pydantic.Field(
599 description="Per-pixel variance estimates for the main image."
600 )
601 sky_projection: SkyProjectionSerializationModel[P] | None = pydantic.Field(
602 default=None,
603 exclude_if=is_none,
604 description="Projection that maps the pixel grid to the sky.",
605 )
607 @property
608 def bbox(self) -> Box:
609 """The bounding box of the image."""
610 return self.image.bbox
612 def deserialize(
613 self, archive: InputArchive[Any], *, bbox: Box | None = None, **kwargs: Any
614 ) -> MaskedImage:
615 """Deserialize an image from an input archive.
617 Parameters
618 ----------
619 archive
620 Archive to read from.
621 bbox
622 Bounding box of a subimage to read instead.
623 **kwargs
624 Unsupported keyword arguments are accepted only to provide better
625 error messages (raising `serialization.InvalidParameterError`).
626 """
627 if kwargs: 627 ↛ 628line 627 didn't jump to line 628 because the condition on line 627 was never true
628 raise InvalidParameterError(f"Unrecognized parameters for MaskedImage: {set(kwargs.keys())}.")
629 image = self.image.deserialize(archive, bbox=bbox)
630 mask = self.mask.deserialize(archive, bbox=bbox)
631 variance = self.variance.deserialize(archive, bbox=bbox)
632 sky_projection = self.sky_projection.deserialize(archive) if self.sky_projection is not None else None
633 return MaskedImage(
634 image, mask=mask, variance=variance, sky_projection=sky_projection
635 )._finish_deserialize(self)
637 def deserialize_component(self, component: str, archive: InputArchive[Any], **kwargs: Any) -> Any:
638 if component == "bbox" and kwargs: 638 ↛ 639line 638 didn't jump to line 639 because the condition on line 638 was never true
639 raise InvalidParameterError(
640 f"Unrecognized parameters for MaskedImage.bbox: {set(kwargs.keys())}."
641 )
642 return super().deserialize_component(component, archive, **kwargs)