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, Field 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[ 21 Annotated[DatasetDescr_v0_2, Field(title="dataset 0.2")], 22 Annotated[DatasetDescr_v0_3, Field(title="dataset 0.3")], 23 ], 24 Discriminator("format_version"), 25 Field(title="dataset"), 26] 27"""Union of any released dataset desription""" 28# autogen: stop
39class DatasetDescr(GenericDescrBase): 40 """A bioimage.io dataset resource description file (dataset RDF) describes a dataset relevant to bioimage 41 processing. 42 """ 43 44 implemented_type: ClassVar[Literal["dataset"]] = "dataset" 45 if TYPE_CHECKING: 46 type: Literal["dataset"] = "dataset" 47 else: 48 type: Literal["dataset"] 49 50 id: Optional[DatasetId] = None 51 """bioimage.io-wide unique resource identifier 52 assigned by bioimage.io; version **un**specific.""" 53 54 parent: Optional[DatasetId] = None 55 """The description from which this one is derived""" 56 57 source: Optional[HttpUrl] = None 58 """"URL to the source of the dataset.""" 59 60 @model_validator(mode="before") 61 @classmethod 62 def _convert(cls, data: Dict[str, Any], /) -> Dict[str, Any]: 63 if ( 64 data.get("type") == "dataset" 65 and isinstance(fv := data.get("format_version"), str) 66 and fv.startswith("0.2.") 67 ): 68 old = DatasetDescr02.load(data) 69 if isinstance(old, InvalidDescr): 70 return data 71 72 return cast( 73 Dict[str, Any], 74 (cls if TYPE_CHECKING else dict)( 75 attachments=( 76 [] 77 if old.attachments is None 78 else [FileDescr(source=f) for f in old.attachments.files] 79 ), 80 authors=[ 81 _author_conv.convert_as_dict(a) for a in old.authors 82 ], # pyright: ignore[reportArgumentType] 83 badges=old.badges, 84 cite=[ 85 {"text": c.text, "doi": c.doi, "url": c.url} for c in old.cite 86 ], # pyright: ignore[reportArgumentType] 87 config=old.config, # pyright: ignore[reportArgumentType] 88 covers=old.covers, 89 description=old.description, 90 documentation=old.documentation, 91 format_version="0.3.0", 92 git_repo=old.git_repo, # pyright: ignore[reportArgumentType] 93 icon=old.icon, 94 id=None if old.id is None else DatasetId(old.id), 95 license=old.license, # type: ignore 96 links=old.links, 97 maintainers=[ 98 _maintainer_conv.convert_as_dict(m) for m in old.maintainers 99 ], # pyright: ignore[reportArgumentType] 100 name=old.name, 101 source=old.source, 102 tags=old.tags, 103 type=old.type, 104 uploader=old.uploader, 105 version=old.version, 106 **(old.model_extra or {}), 107 ), 108 ) 109 110 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
model_config: ClassVar[pydantic.config.ConfigDict] =
{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True, 'use_attribute_docstrings': True, 'model_title_generator': <function _node_title_generator>, 'validate_by_alias': True, 'validate_by_name': True}
Configuration for the model, should be a dictionary conforming to [ConfigDict
][pydantic.config.ConfigDict].
def
model_post_init(self: pydantic.main.BaseModel, context: Any, /) -> None:
337def init_private_attributes(self: BaseModel, context: Any, /) -> None: 338 """This function is meant to behave like a BaseModel method to initialise private attributes. 339 340 It takes context as an argument since that's what pydantic-core passes when calling it. 341 342 Args: 343 self: The BaseModel instance. 344 context: The context. 345 """ 346 if getattr(self, '__pydantic_private__', None) is None: 347 pydantic_private = {} 348 for name, private_attr in self.__private_attributes__.items(): 349 default = private_attr.get_default() 350 if default is not PydanticUndefined: 351 pydantic_private[name] = default 352 object_setattr(self, '__pydantic_private__', pydantic_private)
This function is meant to behave like a BaseModel method to initialise private attributes.
It takes context as an argument since that's what pydantic-core passes when calling it.
Arguments:
- self: The BaseModel instance.
- context: The context.
Inherited Members
DatasetDescr_v0_2 =
<class 'bioimageio.spec.dataset.v0_2.DatasetDescr'>
DatasetDescr_v0_3 =
<class 'DatasetDescr'>
AnyDatasetDescr =
typing.Annotated[typing.Union[typing.Annotated[bioimageio.spec.dataset.v0_2.DatasetDescr, FieldInfo(annotation=NoneType, required=True, title='dataset 0.2')], typing.Annotated[DatasetDescr, FieldInfo(annotation=NoneType, required=True, title='dataset 0.3')]], Discriminator(discriminator='format_version', custom_error_type=None, custom_error_message=None, custom_error_context=None), FieldInfo(annotation=NoneType, required=True, title='dataset')]
Union of any released dataset desription