bioimageio.spec.dataset
implementaions of all released minor versions are available in submodules:
- dataset v0_2:
bioimageio.spec.dataset.v0_2.DatasetDescr
- dataset v0_3:
bioimageio.spec.dataset.v0_3.DatasetDescr
1# autogen: start 2""" 3implementaions of all released minor versions are available in submodules: 4- dataset v0_2: `bioimageio.spec.dataset.v0_2.DatasetDescr` 5- dataset v0_3: `bioimageio.spec.dataset.v0_3.DatasetDescr` 6""" 7 8from typing import Union 9 10from pydantic import Discriminator 11from typing_extensions import Annotated 12 13from . import v0_2, v0_3 14 15DatasetDescr = v0_3.DatasetDescr 16DatasetDescr_v0_2 = v0_2.DatasetDescr 17DatasetDescr_v0_3 = v0_3.DatasetDescr 18 19AnyDatasetDescr = Annotated[ 20 Union[DatasetDescr_v0_2, DatasetDescr_v0_3], Discriminator("format_version") 21] 22"""Union of any released dataset desription""" 23# autogen: stop
39class DatasetDescr(GenericDescrBase, title="bioimage.io dataset specification"): 40 """A bioimage.io dataset resource description file (dataset RDF) describes a dataset relevant to bioimage 41 processing. 42 """ 43 44 type: Literal["dataset"] = "dataset" 45 46 id: Optional[DatasetId] = None 47 """bioimage.io-wide unique resource identifier 48 assigned by bioimage.io; version **un**specific.""" 49 50 parent: Optional[DatasetId] = None 51 """The description from which this one is derived""" 52 53 source: Optional[HttpUrl] = None 54 """"URL to the source of the dataset.""" 55 56 @model_validator(mode="before") 57 @classmethod 58 def _convert(cls, data: Dict[str, Any], /) -> Dict[str, Any]: 59 if ( 60 data.get("type") == "dataset" 61 and isinstance(fv := data.get("format_version"), str) 62 and fv.startswith("0.2.") 63 ): 64 old = DatasetDescr02.load(data) 65 if isinstance(old, InvalidDescr): 66 return data 67 68 return cast( 69 Dict[str, Any], 70 (cls if TYPE_CHECKING else dict)( 71 attachments=( 72 [] 73 if old.attachments is None 74 else [FileDescr(source=f) for f in old.attachments.files] 75 ), 76 authors=[ 77 _author_conv.convert_as_dict(a) for a in old.authors 78 ], # pyright: ignore[reportArgumentType] 79 badges=old.badges, 80 cite=[ 81 {"text": c.text, "doi": c.doi, "url": c.url} for c in old.cite 82 ], # pyright: ignore[reportArgumentType] 83 config=old.config, 84 covers=old.covers, 85 description=old.description, 86 documentation=cast(DocumentationSource, old.documentation), 87 format_version="0.3.0", 88 git_repo=old.git_repo, # pyright: ignore[reportArgumentType] 89 icon=old.icon, 90 id=None if old.id is None else DatasetId(old.id), 91 license=old.license, # type: ignore 92 links=old.links, 93 maintainers=[ 94 _maintainer_conv.convert_as_dict(m) for m in old.maintainers 95 ], # pyright: ignore[reportArgumentType] 96 name=old.name, 97 source=old.source, 98 tags=old.tags, 99 type=old.type, 100 uploader=old.uploader, 101 version=old.version, 102 **(old.model_extra or {}), 103 ), 104 ) 105 106 return data
A bioimage.io dataset resource description file (dataset RDF) describes a dataset relevant to bioimage processing.
id: Optional[bioimageio.spec.dataset.v0_3.DatasetId]
bioimage.io-wide unique resource identifier assigned by bioimage.io; version unspecific.
parent: Optional[bioimageio.spec.dataset.v0_3.DatasetId]
The description from which this one is derived
def
model_post_init(self: pydantic.main.BaseModel, context: Any, /) -> None:
124 def wrapped_model_post_init(self: BaseModel, context: Any, /) -> None: 125 """We need to both initialize private attributes and call the user-defined model_post_init 126 method. 127 """ 128 init_private_attributes(self, context) 129 original_model_post_init(self, context)
We need to both initialize private attributes and call the user-defined model_post_init method.
Inherited Members
DatasetDescr_v0_2 =
<class 'bioimageio.spec.dataset.v0_2.DatasetDescr'>
DatasetDescr_v0_3 =
<class 'DatasetDescr'>
AnyDatasetDescr =
typing.Annotated[typing.Union[bioimageio.spec.dataset.v0_2.DatasetDescr, DatasetDescr], Discriminator(discriminator='format_version', custom_error_type=None, custom_error_message=None, custom_error_context=None)]
Union of any released dataset desription