From 5870ebed6f2c4b874adc796b2838274b1dd67d35 Mon Sep 17 00:00:00 2001 From: FynnBe Date: Wed, 20 Mar 2024 20:45:02 +0000 Subject: [PATCH] =?UTF-8?q?Deploying=20to=20gh-pages=20from=20@=20bioimage?= =?UTF-8?q?-io/spec-bioimage-io@e8782457843580f9ceb90674f767a5fca408e94c?= =?UTF-8?q?=20=F0=9F=9A=80?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- bioimageio/spec/_internal/constants.html | 2 +- bioimageio/spec/_internal/io.html | 12 +- .../spec/_internal/packaging_context.html | 2 +- .../spec/_internal/validation_context.html | 2 +- bioimageio/spec/_package.html | 2 +- bioimageio/spec/application/v0_2.html | 2 +- bioimageio/spec/application/v0_3.html | 2 +- bioimageio/spec/generic/v0_2.html | 16 +- bioimageio/spec/generic/v0_3.html | 14 +- bioimageio/spec/model/v0_4.html | 38 +- bioimageio/spec/model/v0_5.html | 5720 ++++++++--------- bioimageio/spec/notebook/v0_2.html | 2 +- bioimageio/spec/notebook/v0_3.html | 2 +- bioimageio_schema_latest.json | 2 +- bioimageio_schema_v0-5-0post2.json | 2 +- search.js | 2 +- user_docs/application_descr_latest.md | 12 +- user_docs/application_descr_v0-2-4.md | 12 +- user_docs/application_descr_v0-2.md | 12 +- user_docs/application_descr_v0-3-0.md | 12 +- user_docs/application_descr_v0-3.md | 12 +- user_docs/collection_descr_latest.md | 10 +- user_docs/collection_descr_v0-2-4.md | 10 +- user_docs/collection_descr_v0-2.md | 10 +- user_docs/collection_descr_v0-3-0.md | 10 +- user_docs/collection_descr_v0-3.md | 10 +- user_docs/dataset_descr_latest.md | 10 +- user_docs/dataset_descr_v0-2-4.md | 10 +- user_docs/dataset_descr_v0-2.md | 10 +- user_docs/dataset_descr_v0-3-0.md | 10 +- user_docs/dataset_descr_v0-3.md | 10 +- user_docs/generic_descr_latest.md | 10 +- user_docs/generic_descr_v0-2-4.md | 10 +- user_docs/generic_descr_v0-2.md | 10 +- user_docs/generic_descr_v0-3-0.md | 10 +- user_docs/generic_descr_v0-3.md | 10 +- user_docs/model_descr_latest.md | 28 +- user_docs/model_descr_v0-4-10.md | 38 +- user_docs/model_descr_v0-4.md | 38 +- user_docs/model_descr_v0-5-0.md | 28 +- user_docs/model_descr_v0-5.md | 28 +- user_docs/notebook_descr_latest.md | 12 +- user_docs/notebook_descr_v0-2-4.md | 12 +- user_docs/notebook_descr_v0-2.md | 12 +- user_docs/notebook_descr_v0-3-0.md | 12 +- user_docs/notebook_descr_v0-3.md | 12 +- 46 files changed, 3121 insertions(+), 3131 deletions(-) diff --git a/bioimageio/spec/_internal/constants.html b/bioimageio/spec/_internal/constants.html index f054cf6b1..320bd0bca 100644 --- a/bioimageio/spec/_internal/constants.html +++ b/bioimageio/spec/_internal/constants.html @@ -251,7 +251,7 @@

KNOWN_GH_USERS: Set[str] = - {'lenkaback', 'donglaiw', 'ivanhcenalmor', 'jansanrom', 'esgomezm', 'ctr26', 'carlosuc3m', 'fynnbe', 'aaitorg', 'clementcaporal', 'pedgomgal1', 'iarganda', 'k-dominik', 'oeway', 'cfusterbarcelo', 'constantinpape', 'githubuser2', 'bioimageiobot', 'danifranco'} + {'oeway', 'clementcaporal', 'carlosuc3m', 'k-dominik', 'aaitorg', 'danifranco', 'iarganda', 'esgomezm', 'jansanrom', 'donglaiw', 'bioimageiobot', 'pedgomgal1', 'lenkaback', 'cfusterbarcelo', 'ivanhcenalmor', 'ctr26', 'githubuser2', 'fynnbe', 'constantinpape'}
diff --git a/bioimageio/spec/_internal/io.html b/bioimageio/spec/_internal/io.html index 8eb722056..7e2944563 100644 --- a/bioimageio/spec/_internal/io.html +++ b/bioimageio/spec/_internal/io.html @@ -1237,7 +1237,7 @@

Inherited Members
def - get_absolute( self, root: bioimageio.spec._internal.root_url.RootHttpUrl | pathlib.Path | pydantic_core._pydantic_core.Url) -> Union[Annotated[pathlib.Path, PathType(path_type='file'), Predicate(func=<function PurePath.is_absolute at 0x7f46ae045940>)], Annotated[pathlib.Path, PathType(path_type='dir'), Predicate(func=<function PurePath.is_absolute at 0x7f46ae045940>)], bioimageio.spec._internal.url.HttpUrl]: + get_absolute( self, root: bioimageio.spec._internal.root_url.RootHttpUrl | pathlib.Path | pydantic_core._pydantic_core.Url) -> Union[Annotated[pathlib.Path, PathType(path_type='file'), Predicate(func=<function PurePath.is_absolute at 0x7f4545045940>)], Annotated[pathlib.Path, PathType(path_type='dir'), Predicate(func=<function PurePath.is_absolute at 0x7f4545045940>)], bioimageio.spec._internal.url.HttpUrl]: @@ -1355,7 +1355,7 @@
Inherited Members
def - get_absolute( self, root: bioimageio.spec._internal.root_url.RootHttpUrl | pathlib.Path | pydantic_core._pydantic_core.Url) -> Union[Annotated[pathlib.Path, PathType(path_type='file'), Predicate(func=<function PurePath.is_absolute at 0x7f46ae045940>)], bioimageio.spec._internal.url.HttpUrl]: + get_absolute( self, root: bioimageio.spec._internal.root_url.RootHttpUrl | pathlib.Path | pydantic_core._pydantic_core.Url) -> Union[Annotated[pathlib.Path, PathType(path_type='file'), Predicate(func=<function PurePath.is_absolute at 0x7f4545045940>)], bioimageio.spec._internal.url.HttpUrl]: @@ -1475,7 +1475,7 @@
Inherited Members
def - get_absolute( self, root: bioimageio.spec._internal.root_url.RootHttpUrl | pathlib.Path | pydantic_core._pydantic_core.Url) -> Union[Annotated[pathlib.Path, PathType(path_type='dir'), Predicate(func=<function PurePath.is_absolute at 0x7f46ae045940>)], bioimageio.spec._internal.url.HttpUrl]: + get_absolute( self, root: bioimageio.spec._internal.root_url.RootHttpUrl | pathlib.Path | pydantic_core._pydantic_core.Url) -> Union[Annotated[pathlib.Path, PathType(path_type='dir'), Predicate(func=<function PurePath.is_absolute at 0x7f4545045940>)], bioimageio.spec._internal.url.HttpUrl]: @@ -1997,7 +1997,7 @@
Inherited Members
- original_root: Union[Annotated[pathlib.Path, PathType(path_type='dir'), Predicate(func=<function PurePath.is_absolute at 0x7f46ae045940>)], bioimageio.spec._internal.root_url.RootHttpUrl] + original_root: Union[Annotated[pathlib.Path, PathType(path_type='dir'), Predicate(func=<function PurePath.is_absolute at 0x7f4545045940>)], bioimageio.spec._internal.root_url.RootHttpUrl]
@@ -2065,7 +2065,7 @@
Inherited Members
- original_root: Union[Annotated[pathlib.Path, PathType(path_type='dir'), Predicate(func=<function PurePath.is_absolute at 0x7f46ae045940>)], bioimageio.spec._internal.root_url.RootHttpUrl] + original_root: Union[Annotated[pathlib.Path, PathType(path_type='dir'), Predicate(func=<function PurePath.is_absolute at 0x7f4545045940>)], bioimageio.spec._internal.root_url.RootHttpUrl]
@@ -2284,7 +2284,7 @@
Inherited Members
- source: Annotated[Union[Annotated[pathlib.Path, PathType(path_type='file')], RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator(func=<function wo_special_file_name at 0x7f46aaa98680>), PlainSerializer(func=<function _package at 0x7f46aaa998a0>, return_type=PydanticUndefined, when_used='unless-none')] + source: Annotated[Union[Annotated[pathlib.Path, PathType(path_type='file')], RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator(func=<function wo_special_file_name at 0x7f4541d10680>), PlainSerializer(func=<function _package at 0x7f4541d118a0>, return_type=PydanticUndefined, when_used='unless-none')]
diff --git a/bioimageio/spec/_internal/packaging_context.html b/bioimageio/spec/_internal/packaging_context.html index b6399f2ae..65af11643 100644 --- a/bioimageio/spec/_internal/packaging_context.html +++ b/bioimageio/spec/_internal/packaging_context.html @@ -207,7 +207,7 @@

- file_sources: Dict[str, Union[Annotated[pathlib.Path, PathType(path_type='file'), Predicate(func=<function PurePath.is_absolute at 0x7f46ae045940>)], bioimageio.spec._internal.url.HttpUrl]] + file_sources: Dict[str, Union[Annotated[pathlib.Path, PathType(path_type='file'), Predicate(func=<function PurePath.is_absolute at 0x7f4545045940>)], bioimageio.spec._internal.url.HttpUrl]]
diff --git a/bioimageio/spec/_internal/validation_context.html b/bioimageio/spec/_internal/validation_context.html index 7d667705b..f8641b1d1 100644 --- a/bioimageio/spec/_internal/validation_context.html +++ b/bioimageio/spec/_internal/validation_context.html @@ -294,7 +294,7 @@

- root: Union[bioimageio.spec._internal.root_url.RootHttpUrl, Annotated[pathlib.Path, PathType(path_type='dir'), Predicate(func=<function PurePath.is_absolute at 0x7f46ae045940>)]] = + root: Union[bioimageio.spec._internal.root_url.RootHttpUrl, Annotated[pathlib.Path, PathType(path_type='dir'), Predicate(func=<function PurePath.is_absolute at 0x7f4545045940>)]] = PosixPath('.') diff --git a/bioimageio/spec/_package.html b/bioimageio/spec/_package.html index 680b81926..591b5a627 100644 --- a/bioimageio/spec/_package.html +++ b/bioimageio/spec/_package.html @@ -408,7 +408,7 @@

def - get_resource_package_content( rd: Union[Annotated[Union[Annotated[Union[bioimageio.spec.application.v0_2.ApplicationDescr, bioimageio.spec.application.v0_3.ApplicationDescr], Discriminator(discriminator='format_version', custom_error_type=None, custom_error_message=None, custom_error_context=None)], Annotated[Union[bioimageio.spec.collection.v0_2.CollectionDescr, bioimageio.spec.collection.v0_3.CollectionDescr], Discriminator(discriminator='format_version', custom_error_type=None, custom_error_message=None, custom_error_context=None)], Annotated[Union[bioimageio.spec.dataset.v0_2.DatasetDescr, bioimageio.spec.dataset.v0_3.DatasetDescr], Discriminator(discriminator='format_version', custom_error_type=None, custom_error_message=None, custom_error_context=None)], Annotated[Union[bioimageio.spec.model.v0_4.ModelDescr, bioimageio.spec.model.v0_5.ModelDescr], Discriminator(discriminator='format_version', custom_error_type=None, custom_error_message=None, custom_error_context=None)], Annotated[Union[bioimageio.spec.notebook.v0_2.NotebookDescr, bioimageio.spec.notebook.v0_3.NotebookDescr], Discriminator(discriminator='format_version', custom_error_type=None, custom_error_message=None, custom_error_context=None)]], Discriminator(discriminator='type', custom_error_type=None, custom_error_message=None, custom_error_context=None)], Annotated[Union[bioimageio.spec.generic.v0_2.GenericDescr, bioimageio.spec.generic.v0_3.GenericDescr], Discriminator(discriminator='format_version', custom_error_type=None, custom_error_message=None, custom_error_context=None)]], /, *, bioimageio_yaml_file_name: str = 'rdf.yaml', weights_priority_order: Optional[Sequence[Literal['keras_hdf5', 'onnx', 'pytorch_state_dict', 'tensorflow_js', 'tensorflow_saved_model_bundle', 'torchscript']]] = None) -> Dict[str, Union[bioimageio.spec._internal.url.HttpUrl, Annotated[pathlib.Path, PathType(path_type='file'), Predicate(func=<function PurePath.is_absolute at 0x7f46ae045940>)], Dict[str, YamlValue]]]: + get_resource_package_content( rd: Union[Annotated[Union[Annotated[Union[bioimageio.spec.application.v0_2.ApplicationDescr, bioimageio.spec.application.v0_3.ApplicationDescr], Discriminator(discriminator='format_version', custom_error_type=None, custom_error_message=None, custom_error_context=None)], Annotated[Union[bioimageio.spec.collection.v0_2.CollectionDescr, bioimageio.spec.collection.v0_3.CollectionDescr], Discriminator(discriminator='format_version', custom_error_type=None, custom_error_message=None, custom_error_context=None)], Annotated[Union[bioimageio.spec.dataset.v0_2.DatasetDescr, bioimageio.spec.dataset.v0_3.DatasetDescr], Discriminator(discriminator='format_version', custom_error_type=None, custom_error_message=None, custom_error_context=None)], Annotated[Union[bioimageio.spec.model.v0_4.ModelDescr, bioimageio.spec.model.v0_5.ModelDescr], Discriminator(discriminator='format_version', custom_error_type=None, custom_error_message=None, custom_error_context=None)], Annotated[Union[bioimageio.spec.notebook.v0_2.NotebookDescr, bioimageio.spec.notebook.v0_3.NotebookDescr], Discriminator(discriminator='format_version', custom_error_type=None, custom_error_message=None, custom_error_context=None)]], Discriminator(discriminator='type', custom_error_type=None, custom_error_message=None, custom_error_context=None)], Annotated[Union[bioimageio.spec.generic.v0_2.GenericDescr, bioimageio.spec.generic.v0_3.GenericDescr], Discriminator(discriminator='format_version', custom_error_type=None, custom_error_message=None, custom_error_context=None)]], /, *, bioimageio_yaml_file_name: str = 'rdf.yaml', weights_priority_order: Optional[Sequence[Literal['keras_hdf5', 'onnx', 'pytorch_state_dict', 'tensorflow_js', 'tensorflow_saved_model_bundle', 'torchscript']]] = None) -> Dict[str, Union[bioimageio.spec._internal.url.HttpUrl, Annotated[pathlib.Path, PathType(path_type='file'), Predicate(func=<function PurePath.is_absolute at 0x7f4545045940>)], Dict[str, YamlValue]]]: diff --git a/bioimageio/spec/application/v0_2.html b/bioimageio/spec/application/v0_2.html index d6da13f52..213b4cfcd 100644 --- a/bioimageio/spec/application/v0_2.html +++ b/bioimageio/spec/application/v0_2.html @@ -211,7 +211,7 @@

- source: Annotated[Optional[Annotated[Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator(func=<function wo_special_file_name at 0x7f46aaa98680>), PlainSerializer(func=<function _package at 0x7f46aaa998a0>, return_type=PydanticUndefined, when_used='unless-none')]], FieldInfo(annotation=NoneType, required=True, description='URL or path to the source of the application')] + source: Annotated[Optional[Annotated[Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator(func=<function wo_special_file_name at 0x7f4541d10680>), PlainSerializer(func=<function _package at 0x7f4541d118a0>, return_type=PydanticUndefined, when_used='unless-none')]], FieldInfo(annotation=NoneType, required=True, description='URL or path to the source of the application')]
diff --git a/bioimageio/spec/application/v0_3.html b/bioimageio/spec/application/v0_3.html index 2991fce53..a3f1cd261 100644 --- a/bioimageio/spec/application/v0_3.html +++ b/bioimageio/spec/application/v0_3.html @@ -234,7 +234,7 @@

- source: Annotated[Optional[Annotated[Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator(func=<function wo_special_file_name at 0x7f46aaa98680>), PlainSerializer(func=<function _package at 0x7f46aaa998a0>, return_type=PydanticUndefined, when_used='unless-none')]], FieldInfo(annotation=NoneType, required=True, description='URL or path to the source of the application')] + source: Annotated[Optional[Annotated[Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator(func=<function wo_special_file_name at 0x7f4541d10680>), PlainSerializer(func=<function _package at 0x7f4541d118a0>, return_type=PydanticUndefined, when_used='unless-none')]], FieldInfo(annotation=NoneType, required=True, description='URL or path to the source of the application')]
diff --git a/bioimageio/spec/generic/v0_2.html b/bioimageio/spec/generic/v0_2.html index b583af096..1240d9040 100644 --- a/bioimageio/spec/generic/v0_2.html +++ b/bioimageio/spec/generic/v0_2.html @@ -868,7 +868,7 @@

- files: List[Annotated[Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator(func=<function wo_special_file_name at 0x7f46aaa98680>), PlainSerializer(func=<function _package at 0x7f46aaa998a0>, return_type=PydanticUndefined, when_used='unless-none')]] + files: List[Annotated[Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator(func=<function wo_special_file_name at 0x7f4541d10680>), PlainSerializer(func=<function _package at 0x7f4541d118a0>, return_type=PydanticUndefined, when_used='unless-none')]]
@@ -980,7 +980,7 @@
Inherited Members
- name: Optional[Annotated[str, AfterValidator(func=<function _remove_slashes at 0x7f46aaafe8e0>)]] + name: Optional[Annotated[str, AfterValidator(func=<function _remove_slashes at 0x7f4541b6e8e0>)]]
@@ -1090,7 +1090,7 @@
Inherited Members
- name: Annotated[str, AfterValidator(func=<function _remove_slashes at 0x7f46aaafe8e0>)] + name: Annotated[str, AfterValidator(func=<function _remove_slashes at 0x7f4541b6e8e0>)]
@@ -1215,7 +1215,7 @@
Inherited Members
- name: Optional[Annotated[str, AfterValidator(func=<function _remove_slashes at 0x7f46aaafe8e0>)]] + name: Optional[Annotated[str, AfterValidator(func=<function _remove_slashes at 0x7f4541b6e8e0>)]]
@@ -1972,7 +1972,7 @@
Inherited Members
- name: Annotated[str, MinLen(min_length=1), AfterWarner(func=<function as_warning.<locals>.wrapper at 0x7f46aab591c0>, severity=30, msg='Longer than 128 characters.', context={'typ': Annotated[Any, MaxLen(max_length=128)]})] + name: Annotated[str, MinLen(min_length=1), AfterWarner(func=<function as_warning.<locals>.wrapper at 0x7f4541bc91c0>, severity=30, msg='Longer than 128 characters.', context={'typ': Annotated[Any, MaxLen(max_length=128)]})]
@@ -1996,7 +1996,7 @@
Inherited Members
- covers: Annotated[List[Annotated[Union[bioimageio.spec._internal.url.HttpUrl, Annotated[pathlib.Path, PathType(path_type='file'), Predicate(func=<function PurePath.is_absolute at 0x7f46ae045940>)], bioimageio.spec._internal.io.RelativeFilePath], WithSuffix(suffix=('.gif', '.jpeg', '.jpg', '.png', '.svg'), case_sensitive=False), PlainSerializer(func=<function _package at 0x7f46aaa998a0>, return_type=PydanticUndefined, when_used='unless-none')]], FieldInfo(annotation=NoneType, required=True, description="Cover images. Please use an image smaller than 500KB and an aspect ratio width to height of 2:1.\nThe supported image formats are: ('.gif', '.jpeg', '.jpg', '.png', '.svg')", examples=['cover.png'])] + covers: Annotated[List[Annotated[Union[bioimageio.spec._internal.url.HttpUrl, Annotated[pathlib.Path, PathType(path_type='file'), Predicate(func=<function PurePath.is_absolute at 0x7f4545045940>)], bioimageio.spec._internal.io.RelativeFilePath], WithSuffix(suffix=('.gif', '.jpeg', '.jpg', '.png', '.svg'), case_sensitive=False), PlainSerializer(func=<function _package at 0x7f4541d118a0>, return_type=PydanticUndefined, when_used='unless-none')]], FieldInfo(annotation=NoneType, required=True, description="Cover images. Please use an image smaller than 500KB and an aspect ratio width to height of 2:1.\nThe supported image formats are: ('.gif', '.jpeg', '.jpg', '.png', '.svg')", examples=['cover.png'])]
@@ -2153,7 +2153,7 @@
Inherited Members
- icon: Union[Annotated[Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator(func=<function wo_special_file_name at 0x7f46aaa98680>), PlainSerializer(func=<function _package at 0x7f46aaa998a0>, return_type=PydanticUndefined, when_used='unless-none')], Annotated[str, Len(min_length=1, max_length=2)], NoneType] + icon: Union[Annotated[Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator(func=<function wo_special_file_name at 0x7f4541d10680>), PlainSerializer(func=<function _package at 0x7f4541d118a0>, return_type=PydanticUndefined, when_used='unless-none')], Annotated[str, Len(min_length=1, max_length=2)], NoneType]
@@ -2488,7 +2488,7 @@
Inherited Members
- documentation: Annotated[Optional[Annotated[Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator(func=<function wo_special_file_name at 0x7f46aaa98680>), PlainSerializer(func=<function _package at 0x7f46aaa998a0>, return_type=PydanticUndefined, when_used='unless-none')]], FieldInfo(annotation=NoneType, required=True, examples=['https://raw.githubusercontent.com/bioimage-io/spec-bioimage-io/main/example_descriptions/models/unet2d_nuclei_broad/README.md', 'README.md'])] + documentation: Annotated[Optional[Annotated[Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator(func=<function wo_special_file_name at 0x7f4541d10680>), PlainSerializer(func=<function _package at 0x7f4541d118a0>, return_type=PydanticUndefined, when_used='unless-none')]], FieldInfo(annotation=NoneType, required=True, examples=['https://raw.githubusercontent.com/bioimage-io/spec-bioimage-io/main/example_descriptions/models/unet2d_nuclei_broad/README.md', 'README.md'])]
diff --git a/bioimageio/spec/generic/v0_3.html b/bioimageio/spec/generic/v0_3.html index a0edc31ee..57954abd0 100644 --- a/bioimageio/spec/generic/v0_3.html +++ b/bioimageio/spec/generic/v0_3.html @@ -746,7 +746,7 @@

- name: Annotated[str, Predicate(func=<function _has_no_slash at 0x7f46aa9ece00>)] + name: Annotated[str, Predicate(func=<function _has_no_slash at 0x7f4541a5ce00>)]
@@ -875,7 +875,7 @@
Inherited Members
- name: Optional[Annotated[str, Predicate(func=<function _has_no_slash at 0x7f46aa9ece00>)]] + name: Optional[Annotated[str, Predicate(func=<function _has_no_slash at 0x7f4541a5ce00>)]]
@@ -1484,7 +1484,7 @@
Inherited Members
- description: Annotated[str, MaxLen(max_length=1024), AfterWarner(func=<function as_warning.<locals>.wrapper at 0x7f46ac79ef20>, severity=30, msg='Description longer than 512 characters.', context={'typ': Annotated[Any, MaxLen(max_length=512)]})] + description: Annotated[str, MaxLen(max_length=1024), AfterWarner(func=<function as_warning.<locals>.wrapper at 0x7f454389ef20>, severity=30, msg='Description longer than 512 characters.', context={'typ': Annotated[Any, MaxLen(max_length=512)]})]
@@ -1497,7 +1497,7 @@
Inherited Members
- covers: Annotated[List[Annotated[Union[bioimageio.spec._internal.url.HttpUrl, Annotated[pathlib.Path, PathType(path_type='file'), Predicate(func=<function PurePath.is_absolute at 0x7f46ae045940>)], bioimageio.spec._internal.io.RelativeFilePath], WithSuffix(suffix=('.gif', '.jpeg', '.jpg', '.png', '.svg'), case_sensitive=False), PlainSerializer(func=<function _package at 0x7f46aaa998a0>, return_type=PydanticUndefined, when_used='unless-none')]], FieldInfo(annotation=NoneType, required=True, description="Cover images. Please use an image smaller than 500KB and an aspect ratio width to height of 2:1 or 1:1.\nThe supported image formats are: ('.gif', '.jpeg', '.jpg', '.png', '.svg')", examples=[])] + covers: Annotated[List[Annotated[Union[bioimageio.spec._internal.url.HttpUrl, Annotated[pathlib.Path, PathType(path_type='file'), Predicate(func=<function PurePath.is_absolute at 0x7f4545045940>)], bioimageio.spec._internal.io.RelativeFilePath], WithSuffix(suffix=('.gif', '.jpeg', '.jpg', '.png', '.svg'), case_sensitive=False), PlainSerializer(func=<function _package at 0x7f4541d118a0>, return_type=PydanticUndefined, when_used='unless-none')]], FieldInfo(annotation=NoneType, required=True, description="Cover images. Please use an image smaller than 500KB and an aspect ratio width to height of 2:1 or 1:1.\nThe supported image formats are: ('.gif', '.jpeg', '.jpg', '.png', '.svg')", examples=[])]
@@ -1562,7 +1562,7 @@
Inherited Members
- license: Annotated[Union[bioimageio.spec._internal.license_id.LicenseId, bioimageio.spec._internal.license_id.DeprecatedLicenseId], AfterWarner(func=<function as_warning.<locals>.wrapper at 0x7f469d1e4680>, severity=30, msg='{value} is deprecated, see https://spdx.org/licenses/{value}.html', context={'typ': <class 'bioimageio.spec._internal.license_id.LicenseId'>}), FieldInfo(annotation=NoneType, required=True, examples=['CC-BY-4.0', 'MIT', 'BSD-2-Clause'])] + license: Annotated[Union[bioimageio.spec._internal.license_id.LicenseId, bioimageio.spec._internal.license_id.DeprecatedLicenseId], AfterWarner(func=<function as_warning.<locals>.wrapper at 0x7f45342b8680>, severity=30, msg='{value} is deprecated, see https://spdx.org/licenses/{value}.html', context={'typ': <class 'bioimageio.spec._internal.license_id.LicenseId'>}), FieldInfo(annotation=NoneType, required=True, examples=['CC-BY-4.0', 'MIT', 'BSD-2-Clause'])]
@@ -1624,7 +1624,7 @@
Inherited Members
- icon: Union[Annotated[Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator(func=<function wo_special_file_name at 0x7f46aaa98680>), PlainSerializer(func=<function _package at 0x7f46aaa998a0>, return_type=PydanticUndefined, when_used='unless-none')], Annotated[str, Len(min_length=1, max_length=2)], NoneType] + icon: Union[Annotated[Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator(func=<function wo_special_file_name at 0x7f4541d10680>), PlainSerializer(func=<function _package at 0x7f4541d118a0>, return_type=PydanticUndefined, when_used='unless-none')], Annotated[str, Len(min_length=1, max_length=2)], NoneType]
@@ -1927,7 +1927,7 @@
Inherited Members
- documentation: Annotated[Optional[Annotated[Union[Annotated[pathlib.Path, PathType(path_type='file'), Predicate(func=<function PurePath.is_absolute at 0x7f46ae045940>)], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl], AfterValidator(func=<function _validate_md_suffix at 0x7f46aab5ade0>), PlainSerializer(func=<function _package at 0x7f46aaa998a0>, return_type=PydanticUndefined, when_used='unless-none')]], FieldInfo(annotation=NoneType, required=True, examples=['https://raw.githubusercontent.com/bioimage-io/spec-bioimage-io/main/example_descriptions/models/unet2d_nuclei_broad/README.md', 'README.md'])] + documentation: Annotated[Optional[Annotated[Union[Annotated[pathlib.Path, PathType(path_type='file'), Predicate(func=<function PurePath.is_absolute at 0x7f4545045940>)], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl], AfterValidator(func=<function _validate_md_suffix at 0x7f4541bcade0>), PlainSerializer(func=<function _package at 0x7f4541d118a0>, return_type=PydanticUndefined, when_used='unless-none')]], FieldInfo(annotation=NoneType, required=True, examples=['https://raw.githubusercontent.com/bioimage-io/spec-bioimage-io/main/example_descriptions/models/unet2d_nuclei_broad/README.md', 'README.md'])]
diff --git a/bioimageio/spec/model/v0_4.html b/bioimageio/spec/model/v0_4.html index f1b2e7548..68d4af867 100644 --- a/bioimageio/spec/model/v0_4.html +++ b/bioimageio/spec/model/v0_4.html @@ -2354,7 +2354,7 @@
Inherited Members
- source_file: Annotated[Union[bioimageio.spec._internal.url.HttpUrl, bioimageio.spec._internal.io.RelativeFilePath], PlainSerializer(func=<function _package at 0x7f46aaa998a0>, return_type=PydanticUndefined, when_used='unless-none')] + source_file: Annotated[Union[bioimageio.spec._internal.url.HttpUrl, bioimageio.spec._internal.io.RelativeFilePath], PlainSerializer(func=<function _package at 0x7f4541d118a0>, return_type=PydanticUndefined, when_used='unless-none')]
@@ -2500,7 +2500,7 @@
Inherited Members
- file: Annotated[Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator(func=<function wo_special_file_name at 0x7f46aaa98680>), PlainSerializer(func=<function _package at 0x7f46aaa998a0>, return_type=PydanticUndefined, when_used='unless-none'), FieldInfo(annotation=NoneType, required=True, examples=['environment.yaml', 'pom.xml', 'requirements.txt'])] + file: Annotated[Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator(func=<function wo_special_file_name at 0x7f4541d10680>), PlainSerializer(func=<function _package at 0x7f4541d118a0>, return_type=PydanticUndefined, when_used='unless-none'), FieldInfo(annotation=NoneType, required=True, examples=['environment.yaml', 'pom.xml', 'requirements.txt'])]
@@ -2900,7 +2900,7 @@
Inherited Members
- source: Annotated[Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator(func=<function wo_special_file_name at 0x7f46aaa98680>), PlainSerializer(func=<function _package at 0x7f46aaa998a0>, return_type=PydanticUndefined, when_used='unless-none')] + source: Annotated[Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator(func=<function wo_special_file_name at 0x7f4541d10680>), PlainSerializer(func=<function _package at 0x7f4541d118a0>, return_type=PydanticUndefined, when_used='unless-none')]
@@ -2913,7 +2913,7 @@
Inherited Members
- attachments: Annotated[Optional[bioimageio.spec.generic.v0_2.AttachmentsDescr], AfterWarner(func=<function as_warning.<locals>.wrapper at 0x7f469bca82c0>, severity=35, msg='Weights entry depends on additional attachments.', context={'typ': None})] + attachments: Annotated[Optional[bioimageio.spec.generic.v0_2.AttachmentsDescr], AfterWarner(func=<function as_warning.<locals>.wrapper at 0x7f4532d802c0>, severity=35, msg='Weights entry depends on additional attachments.', context={'typ': None})]
@@ -2943,7 +2943,7 @@
Inherited Members
- dependencies: Annotated[Optional[Dependencies], AfterWarner(func=<function as_warning.<locals>.wrapper at 0x7f469bcaa2a0>, severity=30, msg='Custom dependencies ({value}) specified. Avoid this whenever possible to allow execution in a wider range of software environments.', context={'typ': None}), FieldInfo(annotation=NoneType, required=True, examples=['conda:environment.yaml', 'maven:./pom.xml', 'pip:./requirements.txt'])] + dependencies: Annotated[Optional[Dependencies], AfterWarner(func=<function as_warning.<locals>.wrapper at 0x7f4532d822a0>, severity=30, msg='Custom dependencies ({value}) specified. Avoid this whenever possible to allow execution in a wider range of software environments.', context={'typ': None}), FieldInfo(annotation=NoneType, required=True, examples=['conda:environment.yaml', 'maven:./pom.xml', 'pip:./requirements.txt'])]
@@ -3926,7 +3926,7 @@
Inherited Members
- source: Annotated[Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator(func=<function wo_special_file_name at 0x7f46aaa98680>), PlainSerializer(func=<function _package at 0x7f46aaa998a0>, return_type=PydanticUndefined, when_used='unless-none')] + source: Annotated[Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator(func=<function wo_special_file_name at 0x7f4541d10680>), PlainSerializer(func=<function _package at 0x7f4541d118a0>, return_type=PydanticUndefined, when_used='unless-none')]
@@ -4615,7 +4615,7 @@
Inherited Members
- axes: Annotated[str, RestrictCharacters(alphabet='bitczyx'), AfterValidator(func=<function validate_unique_entries at 0x7f46aa9eccc0>)] + axes: Annotated[str, RestrictCharacters(alphabet='bitczyx'), AfterValidator(func=<function validate_unique_entries at 0x7f4541a5ccc0>)]
@@ -5493,7 +5493,7 @@
Inherited Members
- axes: Annotated[Optional[Annotated[str, RestrictCharacters(alphabet='czyx'), AfterValidator(func=<function validate_unique_entries at 0x7f46aa9eccc0>)]], FieldInfo(annotation=NoneType, required=True, examples=['xy'])] + axes: Annotated[Optional[Annotated[str, RestrictCharacters(alphabet='czyx'), AfterValidator(func=<function validate_unique_entries at 0x7f4541a5ccc0>)]], FieldInfo(annotation=NoneType, required=True, examples=['xy'])]
@@ -5991,7 +5991,7 @@
Inherited Members
- axes: Annotated[str, RestrictCharacters(alphabet='czyx'), AfterValidator(func=<function validate_unique_entries at 0x7f46aa9eccc0>), FieldInfo(annotation=NoneType, required=True, examples=['xy'])] + axes: Annotated[str, RestrictCharacters(alphabet='czyx'), AfterValidator(func=<function validate_unique_entries at 0x7f4541a5ccc0>), FieldInfo(annotation=NoneType, required=True, examples=['xy'])]
@@ -6355,7 +6355,7 @@
Inherited Members
- axes: Annotated[str, RestrictCharacters(alphabet='czyx'), AfterValidator(func=<function validate_unique_entries at 0x7f46aa9eccc0>), FieldInfo(annotation=NoneType, required=True, examples=['xy'])] + axes: Annotated[str, RestrictCharacters(alphabet='czyx'), AfterValidator(func=<function validate_unique_entries at 0x7f4541a5ccc0>), FieldInfo(annotation=NoneType, required=True, examples=['xy'])]
@@ -6732,7 +6732,7 @@
Inherited Members
- axes: Annotated[Optional[Annotated[str, RestrictCharacters(alphabet='czyx'), AfterValidator(func=<function validate_unique_entries at 0x7f46aa9eccc0>)]], FieldInfo(annotation=NoneType, required=True, examples=['xy'])] + axes: Annotated[Optional[Annotated[str, RestrictCharacters(alphabet='czyx'), AfterValidator(func=<function validate_unique_entries at 0x7f4541a5ccc0>)]], FieldInfo(annotation=NoneType, required=True, examples=['xy'])]
@@ -7563,7 +7563,7 @@
Inherited Members
- name: Annotated[Union[Literal['deepimagej'], str], AfterWarner(func=<function as_warning.<locals>.wrapper at 0x7f469d2cf600>, severity=30, msg="Unknown run mode '{value}'.", context={'typ': Literal['deepimagej']})] + name: Annotated[Union[Literal['deepimagej'], str], AfterWarner(func=<function as_warning.<locals>.wrapper at 0x7f45343a7600>, severity=30, msg="Unknown run mode '{value}'.", context={'typ': Literal['deepimagej']})]
@@ -8133,7 +8133,7 @@
Inherited Members
- documentation: Annotated[Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator(func=<function wo_special_file_name at 0x7f46aaa98680>), PlainSerializer(func=<function _package at 0x7f46aaa998a0>, return_type=PydanticUndefined, when_used='unless-none'), FieldInfo(annotation=NoneType, required=True, examples=['https://raw.githubusercontent.com/bioimage-io/spec-bioimage-io/main/example_descriptions/models/unet2d_nuclei_broad/README.md', 'README.md'])] + documentation: Annotated[Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator(func=<function wo_special_file_name at 0x7f4541d10680>), PlainSerializer(func=<function _package at 0x7f4541d118a0>, return_type=PydanticUndefined, when_used='unless-none'), FieldInfo(annotation=NoneType, required=True, examples=['https://raw.githubusercontent.com/bioimage-io/spec-bioimage-io/main/example_descriptions/models/unet2d_nuclei_broad/README.md', 'README.md'])]
@@ -8162,7 +8162,7 @@
Inherited Members
- license: Annotated[Union[bioimageio.spec._internal.license_id.LicenseId, str], AfterWarner(func=<function as_warning.<locals>.wrapper at 0x7f469d2cf420>, severity=30, msg="Unknown license id '{value}'.", context={'typ': <class 'bioimageio.spec._internal.license_id.LicenseId'>}), FieldInfo(annotation=NoneType, required=True, examples=['CC-BY-4.0', 'MIT', 'BSD-2-Clause'])] + license: Annotated[Union[bioimageio.spec._internal.license_id.LicenseId, str], AfterWarner(func=<function as_warning.<locals>.wrapper at 0x7f45343a7420>, severity=30, msg="Unknown license id '{value}'.", context={'typ': <class 'bioimageio.spec._internal.license_id.LicenseId'>}), FieldInfo(annotation=NoneType, required=True, examples=['CC-BY-4.0', 'MIT', 'BSD-2-Clause'])]
@@ -8178,7 +8178,7 @@
Inherited Members
- name: Annotated[str, MinLen(min_length=1), AfterWarner(func=<function as_warning.<locals>.wrapper at 0x7f469d2cf7e0>, severity=20, msg='Name shorter than 5 characters.', context={'typ': Annotated[Any, MinLen(min_length=5)]}), AfterWarner(func=<function as_warning.<locals>.wrapper at 0x7f469d1e47c0>, severity=20, msg='Name longer than 64 characters.', context={'typ': Annotated[Any, MaxLen(max_length=64)]})] + name: Annotated[str, MinLen(min_length=1), AfterWarner(func=<function as_warning.<locals>.wrapper at 0x7f45343a77e0>, severity=20, msg='Name shorter than 5 characters.', context={'typ': Annotated[Any, MinLen(min_length=5)]}), AfterWarner(func=<function as_warning.<locals>.wrapper at 0x7f45342b87c0>, severity=20, msg='Name longer than 64 characters.', context={'typ': Annotated[Any, MaxLen(max_length=64)]})]
@@ -8455,7 +8455,7 @@
Inherited Members
- sample_inputs: List[Annotated[Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator(func=<function wo_special_file_name at 0x7f46aaa98680>), PlainSerializer(func=<function _package at 0x7f46aaa998a0>, return_type=PydanticUndefined, when_used='unless-none')]] + sample_inputs: List[Annotated[Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator(func=<function wo_special_file_name at 0x7f4541d10680>), PlainSerializer(func=<function _package at 0x7f4541d118a0>, return_type=PydanticUndefined, when_used='unless-none')]]
@@ -8470,7 +8470,7 @@
Inherited Members
- sample_outputs: List[Annotated[Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator(func=<function wo_special_file_name at 0x7f46aaa98680>), PlainSerializer(func=<function _package at 0x7f46aaa998a0>, return_type=PydanticUndefined, when_used='unless-none')]] + sample_outputs: List[Annotated[Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator(func=<function wo_special_file_name at 0x7f4541d10680>), PlainSerializer(func=<function _package at 0x7f4541d118a0>, return_type=PydanticUndefined, when_used='unless-none')]]
@@ -8483,7 +8483,7 @@
Inherited Members
- test_inputs: Annotated[List[Annotated[Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator(func=<function wo_special_file_name at 0x7f46aaa98680>), PlainSerializer(func=<function _package at 0x7f46aaa998a0>, return_type=PydanticUndefined, when_used='unless-none'), WithSuffix(suffix='.npy', case_sensitive=True)]], MinLen(min_length=1)] + test_inputs: Annotated[List[Annotated[Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator(func=<function wo_special_file_name at 0x7f4541d10680>), PlainSerializer(func=<function _package at 0x7f4541d118a0>, return_type=PydanticUndefined, when_used='unless-none'), WithSuffix(suffix='.npy', case_sensitive=True)]], MinLen(min_length=1)]
@@ -8500,7 +8500,7 @@
Inherited Members
- test_outputs: Annotated[List[Annotated[Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator(func=<function wo_special_file_name at 0x7f46aaa98680>), PlainSerializer(func=<function _package at 0x7f46aaa998a0>, return_type=PydanticUndefined, when_used='unless-none'), WithSuffix(suffix='.npy', case_sensitive=True)]], MinLen(min_length=1)] + test_outputs: Annotated[List[Annotated[Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator(func=<function wo_special_file_name at 0x7f4541d10680>), PlainSerializer(func=<function _package at 0x7f4541d118a0>, return_type=PydanticUndefined, when_used='unless-none'), WithSuffix(suffix='.npy', case_sensitive=True)]], MinLen(min_length=1)]
diff --git a/bioimageio/spec/model/v0_5.html b/bioimageio/spec/model/v0_5.html index a0aa0b6c8..9e02faeff 100644 --- a/bioimageio/spec/model/v0_5.html +++ b/bioimageio/spec/model/v0_5.html @@ -2291,1650 +2291,1645 @@

942 @field_validator("axes", mode="after", check_fields=False) 943 @classmethod 944 def _validate_axes(cls, axes: Sequence[AnyAxis]) -> Sequence[AnyAxis]: - 945 seen_types: Set[str] = set() - 946 duplicate_axes_types: Set[str] = set() - 947 for a in axes: - 948 if a.type in ("time", "space"): - 949 continue # duplicates allowed + 945 batch_axes = [a for a in axes if a.type == "batch"] + 946 if len(batch_axes) > 1: + 947 raise ValueError( + 948 f"Only one batch axis (per tensor) allowed, but got {batch_axes}" + 949 ) 950 - 951 (duplicate_axes_types if a.type in seen_types else seen_types).add(a.type) - 952 - 953 if duplicate_axes_types: - 954 raise ValueError(f"Duplicate axis types: {duplicate_axes_types}") + 951 seen_ids: Set[AxisId] = set() + 952 duplicate_axes_ids: Set[AxisId] = set() + 953 for a in axes: + 954 (duplicate_axes_ids if a.id in seen_ids else seen_ids).add(a.id) 955 - 956 seen_ids: Set[AxisId] = set() - 957 duplicate_axes_ids: Set[AxisId] = set() - 958 for a in axes: - 959 (duplicate_axes_ids if a.id in seen_ids else seen_ids).add(a.id) + 956 if duplicate_axes_ids: + 957 raise ValueError(f"Duplicate axis ids: {duplicate_axes_ids}") + 958 + 959 return axes 960 - 961 if duplicate_axes_ids: - 962 raise ValueError(f"Duplicate axis ids: {duplicate_axes_ids}") - 963 - 964 return axes - 965 - 966 test_tensor: FileDescr - 967 """An example tensor to use for testing. - 968 Using the model with the test input tensors is expected to yield the test output tensors. - 969 Each test tensor has be a an ndarray in the - 970 [numpy.lib file format](https://numpy.org/doc/stable/reference/generated/numpy.lib.format.html#module-numpy.lib.format). - 971 The file extension must be '.npy'.""" - 972 - 973 sample_tensor: Optional[FileDescr] = None - 974 """A sample tensor to illustrate a possible input/output for the model, - 975 The sample image primarily serves to inform a human user about an example use case - 976 and is typically stored as .hdf5, .png or .tiff. - 977 It has to be readable by the [imageio library](https://imageio.readthedocs.io/en/stable/formats/index.html#supported-formats) - 978 (numpy's `.npy` format is not supported). - 979 The image dimensionality has to match the number of axes specified in this tensor description. - 980 """ - 981 - 982 @model_validator(mode="after") - 983 def _validate_sample_tensor(self) -> Self: - 984 if ( - 985 self.sample_tensor is None - 986 or not validation_context_var.get().perform_io_checks - 987 ): - 988 return self - 989 - 990 down = download(self.sample_tensor.source, sha256=self.sample_tensor.sha256) - 991 - 992 local_source = down.path - 993 tensor: NDArray[Any] = imread( - 994 local_source, extension=PurePosixPath(down.original_file_name).suffix - 995 ) - 996 n_dims = len(tensor.squeeze().shape) - 997 n_dims_min = n_dims_max = len(self.axes) - 998 - 999 for a in self.axes: -1000 if isinstance(a, BatchAxis): -1001 n_dims_min -= 1 -1002 elif isinstance(a.size, int): -1003 if a.size == 1: -1004 n_dims_min -= 1 -1005 elif isinstance(a.size, (ParameterizedSize, DataDependentSize)): -1006 if a.size.min == 1: -1007 n_dims_min -= 1 -1008 elif isinstance(a.size, SizeReference): -1009 if a.size.offset < 2: -1010 # size reference may result in singleton axis -1011 n_dims_min -= 1 -1012 else: -1013 assert_never(a.size) -1014 -1015 n_dims_min = max(0, n_dims_min) -1016 if n_dims < n_dims_min or n_dims > n_dims_max: -1017 raise ValueError( -1018 f"Expected sample tensor to have {n_dims_min} to" -1019 + f" {n_dims_max} dimensions, but found {n_dims} (shape: {tensor.shape})." -1020 ) -1021 -1022 return self -1023 -1024 data: Union[TensorDataDescr, NotEmpty[Sequence[TensorDataDescr]]] = ( -1025 IntervalOrRatioDataDescr() -1026 ) -1027 """Description of the tensor's data values, optionally per channel. -1028 If specified per channel, the data `type` needs to match across channels.""" -1029 -1030 @property -1031 def dtype( -1032 self, -1033 ) -> Literal[ -1034 "float32", -1035 "float64", -1036 "uint8", -1037 "int8", -1038 "uint16", -1039 "int16", -1040 "uint32", -1041 "int32", -1042 "uint64", -1043 "int64", -1044 "bool", -1045 ]: -1046 """dtype as specified under `data.type` or `data[i].type`""" -1047 if isinstance(self.data, collections.abc.Sequence): -1048 return self.data[0].type -1049 else: -1050 return self.data.type -1051 -1052 @field_validator("data", mode="after") -1053 @classmethod -1054 def _check_data_type_across_channels( -1055 cls, value: Union[TensorDataDescr, NotEmpty[Sequence[TensorDataDescr]]] -1056 ) -> Union[TensorDataDescr, NotEmpty[Sequence[TensorDataDescr]]]: -1057 if not isinstance(value, list): -1058 return value -1059 -1060 dtypes = {t.type for t in value} -1061 if len(dtypes) > 1: -1062 raise ValueError( -1063 "Tensor data descriptions per channel need to agree in their data" -1064 + f" `type`, but found {dtypes}." -1065 ) -1066 -1067 return value + 961 test_tensor: FileDescr + 962 """An example tensor to use for testing. + 963 Using the model with the test input tensors is expected to yield the test output tensors. + 964 Each test tensor has be a an ndarray in the + 965 [numpy.lib file format](https://numpy.org/doc/stable/reference/generated/numpy.lib.format.html#module-numpy.lib.format). + 966 The file extension must be '.npy'.""" + 967 + 968 sample_tensor: Optional[FileDescr] = None + 969 """A sample tensor to illustrate a possible input/output for the model, + 970 The sample image primarily serves to inform a human user about an example use case + 971 and is typically stored as .hdf5, .png or .tiff. + 972 It has to be readable by the [imageio library](https://imageio.readthedocs.io/en/stable/formats/index.html#supported-formats) + 973 (numpy's `.npy` format is not supported). + 974 The image dimensionality has to match the number of axes specified in this tensor description. + 975 """ + 976 + 977 @model_validator(mode="after") + 978 def _validate_sample_tensor(self) -> Self: + 979 if ( + 980 self.sample_tensor is None + 981 or not validation_context_var.get().perform_io_checks + 982 ): + 983 return self + 984 + 985 down = download(self.sample_tensor.source, sha256=self.sample_tensor.sha256) + 986 + 987 local_source = down.path + 988 tensor: NDArray[Any] = imread( + 989 local_source, extension=PurePosixPath(down.original_file_name).suffix + 990 ) + 991 n_dims = len(tensor.squeeze().shape) + 992 n_dims_min = n_dims_max = len(self.axes) + 993 + 994 for a in self.axes: + 995 if isinstance(a, BatchAxis): + 996 n_dims_min -= 1 + 997 elif isinstance(a.size, int): + 998 if a.size == 1: + 999 n_dims_min -= 1 +1000 elif isinstance(a.size, (ParameterizedSize, DataDependentSize)): +1001 if a.size.min == 1: +1002 n_dims_min -= 1 +1003 elif isinstance(a.size, SizeReference): +1004 if a.size.offset < 2: +1005 # size reference may result in singleton axis +1006 n_dims_min -= 1 +1007 else: +1008 assert_never(a.size) +1009 +1010 n_dims_min = max(0, n_dims_min) +1011 if n_dims < n_dims_min or n_dims > n_dims_max: +1012 raise ValueError( +1013 f"Expected sample tensor to have {n_dims_min} to" +1014 + f" {n_dims_max} dimensions, but found {n_dims} (shape: {tensor.shape})." +1015 ) +1016 +1017 return self +1018 +1019 data: Union[TensorDataDescr, NotEmpty[Sequence[TensorDataDescr]]] = ( +1020 IntervalOrRatioDataDescr() +1021 ) +1022 """Description of the tensor's data values, optionally per channel. +1023 If specified per channel, the data `type` needs to match across channels.""" +1024 +1025 @property +1026 def dtype( +1027 self, +1028 ) -> Literal[ +1029 "float32", +1030 "float64", +1031 "uint8", +1032 "int8", +1033 "uint16", +1034 "int16", +1035 "uint32", +1036 "int32", +1037 "uint64", +1038 "int64", +1039 "bool", +1040 ]: +1041 """dtype as specified under `data.type` or `data[i].type`""" +1042 if isinstance(self.data, collections.abc.Sequence): +1043 return self.data[0].type +1044 else: +1045 return self.data.type +1046 +1047 @field_validator("data", mode="after") +1048 @classmethod +1049 def _check_data_type_across_channels( +1050 cls, value: Union[TensorDataDescr, NotEmpty[Sequence[TensorDataDescr]]] +1051 ) -> Union[TensorDataDescr, NotEmpty[Sequence[TensorDataDescr]]]: +1052 if not isinstance(value, list): +1053 return value +1054 +1055 dtypes = {t.type for t in value} +1056 if len(dtypes) > 1: +1057 raise ValueError( +1058 "Tensor data descriptions per channel need to agree in their data" +1059 + f" `type`, but found {dtypes}." +1060 ) +1061 +1062 return value +1063 +1064 @model_validator(mode="after") +1065 def _check_data_matches_channelaxis(self) -> Self: +1066 if not isinstance(self.data, (list, tuple)): +1067 return self 1068 -1069 @model_validator(mode="after") -1070 def _check_data_matches_channelaxis(self) -> Self: -1071 if not isinstance(self.data, (list, tuple)): -1072 return self -1073 -1074 for a in self.axes: -1075 if isinstance(a, ChannelAxis): -1076 size = a.size -1077 assert isinstance(size, int) -1078 break -1079 else: -1080 return self -1081 -1082 if len(self.data) != size: -1083 raise ValueError( -1084 f"Got tensor data descriptions for {len(self.data)} channels, but" -1085 + f" '{a.id}' axis has size {size}." -1086 ) -1087 -1088 return self -1089 -1090 def get_axis_sizes_for_array(self, array: NDArray[Any]) -> Dict[AxisId, int]: -1091 if len(array.shape) != len(self.axes): -1092 raise ValueError( -1093 f"Dimension mismatch: array shape {array.shape} (#{len(array.shape)})" -1094 + f" incompatible with {len(self.axes)} axes." -1095 ) -1096 return {a.id: array.shape[i] for i, a in enumerate(self.axes)} -1097 +1069 for a in self.axes: +1070 if isinstance(a, ChannelAxis): +1071 size = a.size +1072 assert isinstance(size, int) +1073 break +1074 else: +1075 return self +1076 +1077 if len(self.data) != size: +1078 raise ValueError( +1079 f"Got tensor data descriptions for {len(self.data)} channels, but" +1080 + f" '{a.id}' axis has size {size}." +1081 ) +1082 +1083 return self +1084 +1085 def get_axis_sizes_for_array(self, array: NDArray[Any]) -> Dict[AxisId, int]: +1086 if len(array.shape) != len(self.axes): +1087 raise ValueError( +1088 f"Dimension mismatch: array shape {array.shape} (#{len(array.shape)})" +1089 + f" incompatible with {len(self.axes)} axes." +1090 ) +1091 return {a.id: array.shape[i] for i, a in enumerate(self.axes)} +1092 +1093 +1094class InputTensorDescr(TensorDescrBase[InputAxis]): +1095 id: TensorId = TensorId("input") +1096 """Input tensor id. +1097 No duplicates are allowed across all inputs and outputs.""" 1098 -1099class InputTensorDescr(TensorDescrBase[InputAxis]): -1100 id: TensorId = TensorId("input") -1101 """Input tensor id. -1102 No duplicates are allowed across all inputs and outputs.""" -1103 -1104 optional: bool = False -1105 """indicates that this tensor may be `None`""" -1106 -1107 preprocessing: List[PreprocessingDescr] = Field(default_factory=list) -1108 """Description of how this input should be preprocessed.""" -1109 -1110 @model_validator(mode="after") -1111 def _validate_preprocessing_kwargs(self) -> Self: -1112 axes_ids = [a.id for a in self.axes] -1113 for p in self.preprocessing: -1114 kwargs_axes: Union[Any, Sequence[Any]] = p.kwargs.get("axes", ()) -1115 if not isinstance(kwargs_axes, collections.abc.Sequence): -1116 raise ValueError( -1117 f"Expeted `axes` to be a sequence, but got {type(kwargs_axes)}" -1118 ) +1099 optional: bool = False +1100 """indicates that this tensor may be `None`""" +1101 +1102 preprocessing: List[PreprocessingDescr] = Field(default_factory=list) +1103 """Description of how this input should be preprocessed.""" +1104 +1105 @model_validator(mode="after") +1106 def _validate_preprocessing_kwargs(self) -> Self: +1107 axes_ids = [a.id for a in self.axes] +1108 for p in self.preprocessing: +1109 kwargs_axes: Union[Any, Sequence[Any]] = p.kwargs.get("axes", ()) +1110 if not isinstance(kwargs_axes, collections.abc.Sequence): +1111 raise ValueError( +1112 f"Expeted `axes` to be a sequence, but got {type(kwargs_axes)}" +1113 ) +1114 +1115 if any(a not in axes_ids for a in kwargs_axes): +1116 raise ValueError("`kwargs.axes` needs to be subset of axes ids") +1117 +1118 return self 1119 -1120 if any(a not in axes_ids for a in kwargs_axes): -1121 raise ValueError("`kwargs.axes` needs to be subset of axes ids") -1122 -1123 return self -1124 -1125 -1126def convert_axes( -1127 axes: str, -1128 *, -1129 shape: Union[ -1130 Sequence[int], _ParameterizedInputShape_v0_4, _ImplicitOutputShape_v0_4 -1131 ], -1132 tensor_type: Literal["input", "output"], -1133 halo: Optional[Sequence[int]], -1134 size_refs: Mapping[_TensorName_v0_4, Mapping[str, int]], -1135): -1136 ret: List[AnyAxis] = [] -1137 for i, a in enumerate(axes): -1138 axis_type = _AXIS_TYPE_MAP.get(a, a) -1139 if axis_type == "batch": -1140 ret.append(BatchAxis()) -1141 continue -1142 -1143 scale = 1.0 -1144 if isinstance(shape, _ParameterizedInputShape_v0_4): -1145 if shape.step[i] == 0: -1146 size = shape.min[i] -1147 else: -1148 size = ParameterizedSize(min=shape.min[i], step=shape.step[i]) -1149 elif isinstance(shape, _ImplicitOutputShape_v0_4): -1150 ref_t = str(shape.reference_tensor) -1151 if ref_t.count(".") == 1: -1152 t_id, orig_a_id = ref_t.split(".") -1153 else: -1154 t_id = ref_t -1155 orig_a_id = a -1156 -1157 a_id = _AXIS_ID_MAP.get(orig_a_id, a) -1158 if not (orig_scale := shape.scale[i]): -1159 # old way to insert a new axis dimension -1160 size = int(2 * shape.offset[i]) -1161 else: -1162 scale = 1 / orig_scale -1163 if axis_type in ("channel", "index"): -1164 # these axes no longer have a scale -1165 offset_from_scale = orig_scale * size_refs.get( -1166 _TensorName_v0_4(t_id), {} -1167 ).get(orig_a_id, 0) -1168 else: -1169 offset_from_scale = 0 -1170 size = SizeReference( -1171 tensor_id=TensorId(t_id), -1172 axis_id=AxisId(a_id), -1173 offset=int(offset_from_scale + 2 * shape.offset[i]), -1174 ) -1175 elif isinstance(shape, collections.abc.Sequence): -1176 size: Any = shape[i] -1177 assert isinstance(size, int) -1178 else: -1179 assert_never(shape) -1180 -1181 if axis_type == "time": -1182 if tensor_type == "input": -1183 ret.append(TimeInputAxis(size=size, scale=scale)) -1184 else: -1185 ret.append( -1186 TimeOutputAxis( -1187 size=size, scale=scale, halo=0 if halo is None else halo[i] -1188 ) -1189 ) -1190 elif axis_type == "index": -1191 if tensor_type == "input": -1192 ret.append(IndexInputAxis(size=size)) -1193 else: -1194 ret.append(IndexOutputAxis(size=size)) -1195 elif axis_type == "channel": -1196 assert not isinstance(size, ParameterizedSize) -1197 if isinstance(size, SizeReference): -1198 warnings.warn( -1199 "Conversion of channel size from an implicit output shape may by" -1200 + " wrong" -1201 ) -1202 ret.append( -1203 ChannelAxis( -1204 channel_names=[ -1205 Identifier(f"channel{i}") for i in range(size.offset) -1206 ] -1207 ) -1208 ) -1209 else: -1210 ret.append( -1211 ChannelAxis( -1212 channel_names=[Identifier(f"channel{i}") for i in range(size)] -1213 ) -1214 ) -1215 elif axis_type == "space": -1216 if tensor_type == "input": -1217 ret.append(SpaceInputAxis(id=AxisId(a), size=size, scale=scale)) -1218 else: -1219 ret.append(SpaceOutputAxis(id=AxisId(a), size=size, scale=scale)) -1220 -1221 return ret -1222 -1223 -1224_AXIS_TYPE_MAP = { -1225 "b": "batch", -1226 "t": "time", -1227 "i": "index", -1228 "c": "channel", -1229 "x": "space", -1230 "y": "space", -1231 "z": "space", -1232} -1233 -1234_AXIS_ID_MAP = { -1235 "b": "batch", -1236 "t": "time", -1237 "i": "index", -1238 "c": "channel", -1239} -1240 -1241 -1242def _axes_letters_to_ids( -1243 axes: Optional[str], -1244) -> Optional[List[AxisId]]: -1245 if axes is None: -1246 return None -1247 return [AxisId(_AXIS_ID_MAP.get(a, a)) for a in map(str, axes)] -1248 -1249 -1250def _get_complement_v04_axis( -1251 tensor_axes: Sequence[str], axes: Optional[Sequence[str]] -1252) -> Optional[AxisId]: -1253 if axes is None: -1254 return None -1255 -1256 axes_str = str(axes) -1257 all_axes = set(str(tensor_axes)) | {"b"} -1258 complement_axes = [a for a in axes_str if a not in all_axes] -1259 if len(complement_axes) > 1: -1260 raise ValueError( -1261 f"Expected none or a single complement axis, but axes '{axes}' " -1262 + f"for tensor dims '{all_axes}' leave '{complement_axes}'." -1263 ) -1264 -1265 return None if not complement_axes else AxisId(complement_axes[0]) -1266 -1267 -1268def _convert_proc( -1269 p: Union[_PreprocessingDescr_v0_4, _PostprocessingDescr_v0_4], -1270 tensor_axes: Sequence[str], -1271) -> Union[PreprocessingDescr, PostprocessingDescr]: -1272 if isinstance(p, _BinarizeDescr_v0_4): -1273 return BinarizeDescr(kwargs=BinarizeKwargs(threshold=p.kwargs.threshold)) -1274 elif isinstance(p, _ClipDescr_v0_4): -1275 return ClipDescr(kwargs=ClipKwargs(min=p.kwargs.min, max=p.kwargs.max)) -1276 elif isinstance(p, _SigmoidDescr_v0_4): -1277 return SigmoidDescr() -1278 elif isinstance(p, _ScaleLinearDescr_v0_4): -1279 axes = _axes_letters_to_ids(p.kwargs.axes) -1280 if p.kwargs.axes is None: -1281 axis = None -1282 else: -1283 axis = _get_complement_v04_axis(tensor_axes, p.kwargs.axes) -1284 -1285 return ScaleLinearDescr( -1286 kwargs=ScaleLinearKwargs( -1287 axis=axis, gain=p.kwargs.gain, offset=p.kwargs.offset -1288 ) -1289 ) -1290 elif isinstance(p, _ScaleMeanVarianceDescr_v0_4): -1291 return ScaleMeanVarianceDescr( -1292 kwargs=ScaleMeanVarianceKwargs( -1293 axes=_axes_letters_to_ids(p.kwargs.axes), -1294 reference_tensor=TensorId(str(p.kwargs.reference_tensor)), -1295 eps=p.kwargs.eps, -1296 ) -1297 ) -1298 elif isinstance(p, _ZeroMeanUnitVarianceDescr_v0_4): -1299 if p.kwargs.mode == "fixed": -1300 mean = p.kwargs.mean -1301 assert mean is not None -1302 if isinstance(mean, list): -1303 mean = tuple(mean) +1120 +1121def convert_axes( +1122 axes: str, +1123 *, +1124 shape: Union[ +1125 Sequence[int], _ParameterizedInputShape_v0_4, _ImplicitOutputShape_v0_4 +1126 ], +1127 tensor_type: Literal["input", "output"], +1128 halo: Optional[Sequence[int]], +1129 size_refs: Mapping[_TensorName_v0_4, Mapping[str, int]], +1130): +1131 ret: List[AnyAxis] = [] +1132 for i, a in enumerate(axes): +1133 axis_type = _AXIS_TYPE_MAP.get(a, a) +1134 if axis_type == "batch": +1135 ret.append(BatchAxis()) +1136 continue +1137 +1138 scale = 1.0 +1139 if isinstance(shape, _ParameterizedInputShape_v0_4): +1140 if shape.step[i] == 0: +1141 size = shape.min[i] +1142 else: +1143 size = ParameterizedSize(min=shape.min[i], step=shape.step[i]) +1144 elif isinstance(shape, _ImplicitOutputShape_v0_4): +1145 ref_t = str(shape.reference_tensor) +1146 if ref_t.count(".") == 1: +1147 t_id, orig_a_id = ref_t.split(".") +1148 else: +1149 t_id = ref_t +1150 orig_a_id = a +1151 +1152 a_id = _AXIS_ID_MAP.get(orig_a_id, a) +1153 if not (orig_scale := shape.scale[i]): +1154 # old way to insert a new axis dimension +1155 size = int(2 * shape.offset[i]) +1156 else: +1157 scale = 1 / orig_scale +1158 if axis_type in ("channel", "index"): +1159 # these axes no longer have a scale +1160 offset_from_scale = orig_scale * size_refs.get( +1161 _TensorName_v0_4(t_id), {} +1162 ).get(orig_a_id, 0) +1163 else: +1164 offset_from_scale = 0 +1165 size = SizeReference( +1166 tensor_id=TensorId(t_id), +1167 axis_id=AxisId(a_id), +1168 offset=int(offset_from_scale + 2 * shape.offset[i]), +1169 ) +1170 elif isinstance(shape, collections.abc.Sequence): +1171 size: Any = shape[i] +1172 assert isinstance(size, int) +1173 else: +1174 assert_never(shape) +1175 +1176 if axis_type == "time": +1177 if tensor_type == "input": +1178 ret.append(TimeInputAxis(size=size, scale=scale)) +1179 else: +1180 ret.append( +1181 TimeOutputAxis( +1182 size=size, scale=scale, halo=0 if halo is None else halo[i] +1183 ) +1184 ) +1185 elif axis_type == "index": +1186 if tensor_type == "input": +1187 ret.append(IndexInputAxis(size=size)) +1188 else: +1189 ret.append(IndexOutputAxis(size=size)) +1190 elif axis_type == "channel": +1191 assert not isinstance(size, ParameterizedSize) +1192 if isinstance(size, SizeReference): +1193 warnings.warn( +1194 "Conversion of channel size from an implicit output shape may by" +1195 + " wrong" +1196 ) +1197 ret.append( +1198 ChannelAxis( +1199 channel_names=[ +1200 Identifier(f"channel{i}") for i in range(size.offset) +1201 ] +1202 ) +1203 ) +1204 else: +1205 ret.append( +1206 ChannelAxis( +1207 channel_names=[Identifier(f"channel{i}") for i in range(size)] +1208 ) +1209 ) +1210 elif axis_type == "space": +1211 if tensor_type == "input": +1212 ret.append(SpaceInputAxis(id=AxisId(a), size=size, scale=scale)) +1213 else: +1214 ret.append(SpaceOutputAxis(id=AxisId(a), size=size, scale=scale)) +1215 +1216 return ret +1217 +1218 +1219_AXIS_TYPE_MAP = { +1220 "b": "batch", +1221 "t": "time", +1222 "i": "index", +1223 "c": "channel", +1224 "x": "space", +1225 "y": "space", +1226 "z": "space", +1227} +1228 +1229_AXIS_ID_MAP = { +1230 "b": "batch", +1231 "t": "time", +1232 "i": "index", +1233 "c": "channel", +1234} +1235 +1236 +1237def _axes_letters_to_ids( +1238 axes: Optional[str], +1239) -> Optional[List[AxisId]]: +1240 if axes is None: +1241 return None +1242 return [AxisId(_AXIS_ID_MAP.get(a, a)) for a in map(str, axes)] +1243 +1244 +1245def _get_complement_v04_axis( +1246 tensor_axes: Sequence[str], axes: Optional[Sequence[str]] +1247) -> Optional[AxisId]: +1248 if axes is None: +1249 return None +1250 +1251 axes_str = str(axes) +1252 all_axes = set(str(tensor_axes)) | {"b"} +1253 complement_axes = [a for a in axes_str if a not in all_axes] +1254 if len(complement_axes) > 1: +1255 raise ValueError( +1256 f"Expected none or a single complement axis, but axes '{axes}' " +1257 + f"for tensor dims '{all_axes}' leave '{complement_axes}'." +1258 ) +1259 +1260 return None if not complement_axes else AxisId(complement_axes[0]) +1261 +1262 +1263def _convert_proc( +1264 p: Union[_PreprocessingDescr_v0_4, _PostprocessingDescr_v0_4], +1265 tensor_axes: Sequence[str], +1266) -> Union[PreprocessingDescr, PostprocessingDescr]: +1267 if isinstance(p, _BinarizeDescr_v0_4): +1268 return BinarizeDescr(kwargs=BinarizeKwargs(threshold=p.kwargs.threshold)) +1269 elif isinstance(p, _ClipDescr_v0_4): +1270 return ClipDescr(kwargs=ClipKwargs(min=p.kwargs.min, max=p.kwargs.max)) +1271 elif isinstance(p, _SigmoidDescr_v0_4): +1272 return SigmoidDescr() +1273 elif isinstance(p, _ScaleLinearDescr_v0_4): +1274 axes = _axes_letters_to_ids(p.kwargs.axes) +1275 if p.kwargs.axes is None: +1276 axis = None +1277 else: +1278 axis = _get_complement_v04_axis(tensor_axes, p.kwargs.axes) +1279 +1280 return ScaleLinearDescr( +1281 kwargs=ScaleLinearKwargs( +1282 axis=axis, gain=p.kwargs.gain, offset=p.kwargs.offset +1283 ) +1284 ) +1285 elif isinstance(p, _ScaleMeanVarianceDescr_v0_4): +1286 return ScaleMeanVarianceDescr( +1287 kwargs=ScaleMeanVarianceKwargs( +1288 axes=_axes_letters_to_ids(p.kwargs.axes), +1289 reference_tensor=TensorId(str(p.kwargs.reference_tensor)), +1290 eps=p.kwargs.eps, +1291 ) +1292 ) +1293 elif isinstance(p, _ZeroMeanUnitVarianceDescr_v0_4): +1294 if p.kwargs.mode == "fixed": +1295 mean = p.kwargs.mean +1296 assert mean is not None +1297 if isinstance(mean, list): +1298 mean = tuple(mean) +1299 +1300 std = p.kwargs.std +1301 assert std is not None +1302 if isinstance(std, list): +1303 std = tuple(std) 1304 -1305 std = p.kwargs.std -1306 assert std is not None -1307 if isinstance(std, list): -1308 std = tuple(std) -1309 -1310 return FixedZeroMeanUnitVarianceDescr( -1311 kwargs=FixedZeroMeanUnitVarianceKwargs(mean=mean, std=std) -1312 ) -1313 else: -1314 axes = _axes_letters_to_ids(p.kwargs.axes) or [] -1315 if p.kwargs.mode == "per_dataset": -1316 axes = [AxisId("batch")] + axes -1317 if not axes: -1318 axes = None -1319 return ZeroMeanUnitVarianceDescr( -1320 kwargs=ZeroMeanUnitVarianceKwargs(axes=axes, eps=p.kwargs.eps) -1321 ) -1322 -1323 elif isinstance(p, _ScaleRangeDescr_v0_4): -1324 return ScaleRangeDescr( -1325 kwargs=ScaleRangeKwargs( -1326 axes=_axes_letters_to_ids(p.kwargs.axes), -1327 min_percentile=p.kwargs.min_percentile, -1328 max_percentile=p.kwargs.max_percentile, -1329 eps=p.kwargs.eps, -1330 ) -1331 ) -1332 else: -1333 assert_never(p) -1334 -1335 -1336class _InputTensorConv( -1337 Converter[ -1338 _InputTensorDescr_v0_4, -1339 InputTensorDescr, -1340 ImportantFileSource, -1341 Optional[ImportantFileSource], -1342 Mapping[_TensorName_v0_4, Mapping[str, int]], -1343 ] -1344): -1345 def _convert( -1346 self, -1347 src: _InputTensorDescr_v0_4, -1348 tgt: "type[InputTensorDescr] | type[dict[str, Any]]", -1349 test_tensor: ImportantFileSource, -1350 sample_tensor: Optional[ImportantFileSource], -1351 size_refs: Mapping[_TensorName_v0_4, Mapping[str, int]], -1352 ) -> "InputTensorDescr | dict[str, Any]": -1353 axes: List[InputAxis] = convert_axes( # pyright: ignore[reportAssignmentType] -1354 src.axes, -1355 shape=src.shape, -1356 tensor_type="input", -1357 halo=None, -1358 size_refs=size_refs, -1359 ) -1360 prep: List[PreprocessingDescr] = [] -1361 for p in src.preprocessing: -1362 cp = _convert_proc(p, src.axes) -1363 assert not isinstance(cp, ScaleMeanVarianceDescr) -1364 prep.append(cp) -1365 -1366 return tgt( -1367 axes=axes, -1368 id=TensorId(str(src.name)), -1369 test_tensor=FileDescr(source=test_tensor), -1370 sample_tensor=( -1371 None if sample_tensor is None else FileDescr(source=sample_tensor) -1372 ), -1373 data=dict(type=src.data_type), # pyright: ignore[reportArgumentType] -1374 preprocessing=prep, -1375 ) -1376 -1377 -1378_input_tensor_conv = _InputTensorConv(_InputTensorDescr_v0_4, InputTensorDescr) -1379 +1305 return FixedZeroMeanUnitVarianceDescr( +1306 kwargs=FixedZeroMeanUnitVarianceKwargs(mean=mean, std=std) +1307 ) +1308 else: +1309 axes = _axes_letters_to_ids(p.kwargs.axes) or [] +1310 if p.kwargs.mode == "per_dataset": +1311 axes = [AxisId("batch")] + axes +1312 if not axes: +1313 axes = None +1314 return ZeroMeanUnitVarianceDescr( +1315 kwargs=ZeroMeanUnitVarianceKwargs(axes=axes, eps=p.kwargs.eps) +1316 ) +1317 +1318 elif isinstance(p, _ScaleRangeDescr_v0_4): +1319 return ScaleRangeDescr( +1320 kwargs=ScaleRangeKwargs( +1321 axes=_axes_letters_to_ids(p.kwargs.axes), +1322 min_percentile=p.kwargs.min_percentile, +1323 max_percentile=p.kwargs.max_percentile, +1324 eps=p.kwargs.eps, +1325 ) +1326 ) +1327 else: +1328 assert_never(p) +1329 +1330 +1331class _InputTensorConv( +1332 Converter[ +1333 _InputTensorDescr_v0_4, +1334 InputTensorDescr, +1335 ImportantFileSource, +1336 Optional[ImportantFileSource], +1337 Mapping[_TensorName_v0_4, Mapping[str, int]], +1338 ] +1339): +1340 def _convert( +1341 self, +1342 src: _InputTensorDescr_v0_4, +1343 tgt: "type[InputTensorDescr] | type[dict[str, Any]]", +1344 test_tensor: ImportantFileSource, +1345 sample_tensor: Optional[ImportantFileSource], +1346 size_refs: Mapping[_TensorName_v0_4, Mapping[str, int]], +1347 ) -> "InputTensorDescr | dict[str, Any]": +1348 axes: List[InputAxis] = convert_axes( # pyright: ignore[reportAssignmentType] +1349 src.axes, +1350 shape=src.shape, +1351 tensor_type="input", +1352 halo=None, +1353 size_refs=size_refs, +1354 ) +1355 prep: List[PreprocessingDescr] = [] +1356 for p in src.preprocessing: +1357 cp = _convert_proc(p, src.axes) +1358 assert not isinstance(cp, ScaleMeanVarianceDescr) +1359 prep.append(cp) +1360 +1361 return tgt( +1362 axes=axes, +1363 id=TensorId(str(src.name)), +1364 test_tensor=FileDescr(source=test_tensor), +1365 sample_tensor=( +1366 None if sample_tensor is None else FileDescr(source=sample_tensor) +1367 ), +1368 data=dict(type=src.data_type), # pyright: ignore[reportArgumentType] +1369 preprocessing=prep, +1370 ) +1371 +1372 +1373_input_tensor_conv = _InputTensorConv(_InputTensorDescr_v0_4, InputTensorDescr) +1374 +1375 +1376class OutputTensorDescr(TensorDescrBase[OutputAxis]): +1377 id: TensorId = TensorId("output") +1378 """Output tensor id. +1379 No duplicates are allowed across all inputs and outputs.""" 1380 -1381class OutputTensorDescr(TensorDescrBase[OutputAxis]): -1382 id: TensorId = TensorId("output") -1383 """Output tensor id. -1384 No duplicates are allowed across all inputs and outputs.""" -1385 -1386 postprocessing: List[PostprocessingDescr] = Field(default_factory=list) -1387 """Description of how this output should be postprocessed.""" -1388 -1389 @model_validator(mode="after") -1390 def _validate_postprocessing_kwargs(self) -> Self: -1391 axes_ids = [a.id for a in self.axes] -1392 for p in self.postprocessing: -1393 kwargs_axes: Union[Any, Sequence[Any]] = p.kwargs.get("axes", ()) -1394 if not isinstance(kwargs_axes, collections.abc.Sequence): -1395 raise ValueError( -1396 f"expected `axes` sequence, but got {type(kwargs_axes)}" -1397 ) +1381 postprocessing: List[PostprocessingDescr] = Field(default_factory=list) +1382 """Description of how this output should be postprocessed.""" +1383 +1384 @model_validator(mode="after") +1385 def _validate_postprocessing_kwargs(self) -> Self: +1386 axes_ids = [a.id for a in self.axes] +1387 for p in self.postprocessing: +1388 kwargs_axes: Union[Any, Sequence[Any]] = p.kwargs.get("axes", ()) +1389 if not isinstance(kwargs_axes, collections.abc.Sequence): +1390 raise ValueError( +1391 f"expected `axes` sequence, but got {type(kwargs_axes)}" +1392 ) +1393 +1394 if any(a not in axes_ids for a in kwargs_axes): +1395 raise ValueError("`kwargs.axes` needs to be subset of axes ids") +1396 +1397 return self 1398 -1399 if any(a not in axes_ids for a in kwargs_axes): -1400 raise ValueError("`kwargs.axes` needs to be subset of axes ids") -1401 -1402 return self -1403 -1404 -1405class _OutputTensorConv( -1406 Converter[ -1407 _OutputTensorDescr_v0_4, -1408 OutputTensorDescr, -1409 ImportantFileSource, -1410 Optional[ImportantFileSource], -1411 Mapping[_TensorName_v0_4, Mapping[str, int]], -1412 ] -1413): -1414 def _convert( -1415 self, -1416 src: _OutputTensorDescr_v0_4, -1417 tgt: "type[OutputTensorDescr] | type[dict[str, Any]]", -1418 test_tensor: ImportantFileSource, -1419 sample_tensor: Optional[ImportantFileSource], -1420 size_refs: Mapping[_TensorName_v0_4, Mapping[str, int]], -1421 ) -> "OutputTensorDescr | dict[str, Any]": -1422 # TODO: split convert_axes into convert_output_axes and convert_input_axes -1423 axes: List[OutputAxis] = convert_axes( # pyright: ignore[reportAssignmentType] -1424 src.axes, -1425 shape=src.shape, -1426 tensor_type="output", -1427 halo=src.halo, -1428 size_refs=size_refs, -1429 ) -1430 data_descr: Dict[str, Any] = dict(type=src.data_type) -1431 if data_descr["type"] == "bool": -1432 data_descr["values"] = [False, True] -1433 -1434 return tgt( -1435 axes=axes, -1436 id=TensorId(str(src.name)), -1437 test_tensor=FileDescr(source=test_tensor), -1438 sample_tensor=( -1439 None if sample_tensor is None else FileDescr(source=sample_tensor) -1440 ), -1441 data=data_descr, # pyright: ignore[reportArgumentType] -1442 postprocessing=[_convert_proc(p, src.axes) for p in src.postprocessing], -1443 ) -1444 +1399 +1400class _OutputTensorConv( +1401 Converter[ +1402 _OutputTensorDescr_v0_4, +1403 OutputTensorDescr, +1404 ImportantFileSource, +1405 Optional[ImportantFileSource], +1406 Mapping[_TensorName_v0_4, Mapping[str, int]], +1407 ] +1408): +1409 def _convert( +1410 self, +1411 src: _OutputTensorDescr_v0_4, +1412 tgt: "type[OutputTensorDescr] | type[dict[str, Any]]", +1413 test_tensor: ImportantFileSource, +1414 sample_tensor: Optional[ImportantFileSource], +1415 size_refs: Mapping[_TensorName_v0_4, Mapping[str, int]], +1416 ) -> "OutputTensorDescr | dict[str, Any]": +1417 # TODO: split convert_axes into convert_output_axes and convert_input_axes +1418 axes: List[OutputAxis] = convert_axes( # pyright: ignore[reportAssignmentType] +1419 src.axes, +1420 shape=src.shape, +1421 tensor_type="output", +1422 halo=src.halo, +1423 size_refs=size_refs, +1424 ) +1425 data_descr: Dict[str, Any] = dict(type=src.data_type) +1426 if data_descr["type"] == "bool": +1427 data_descr["values"] = [False, True] +1428 +1429 return tgt( +1430 axes=axes, +1431 id=TensorId(str(src.name)), +1432 test_tensor=FileDescr(source=test_tensor), +1433 sample_tensor=( +1434 None if sample_tensor is None else FileDescr(source=sample_tensor) +1435 ), +1436 data=data_descr, # pyright: ignore[reportArgumentType] +1437 postprocessing=[_convert_proc(p, src.axes) for p in src.postprocessing], +1438 ) +1439 +1440 +1441_output_tensor_conv = _OutputTensorConv(_OutputTensorDescr_v0_4, OutputTensorDescr) +1442 +1443 +1444TensorDescr = Union[InputTensorDescr, OutputTensorDescr] 1445 -1446_output_tensor_conv = _OutputTensorConv(_OutputTensorDescr_v0_4, OutputTensorDescr) -1447 -1448 -1449TensorDescr = Union[InputTensorDescr, OutputTensorDescr] -1450 -1451 -1452def validate_tensors( -1453 tensors: Mapping[TensorId, Tuple[TensorDescr, NDArray[Any]]], -1454 tensor_origin: str, # for more precise error messages, e.g. 'test_tensor' -1455): -1456 all_tensor_axes: Dict[TensorId, Dict[AxisId, Tuple[AnyAxis, int]]] = {} -1457 -1458 def e_msg(d: TensorDescr): -1459 return f"{'inputs' if isinstance(d, InputTensorDescr) else 'outputs'}[{d.id}]" -1460 -1461 for descr, array in tensors.values(): -1462 try: -1463 axis_sizes = descr.get_axis_sizes_for_array(array) -1464 except ValueError as e: -1465 raise ValueError(f"{e_msg(descr)} {e}") -1466 else: -1467 all_tensor_axes[descr.id] = { -1468 a.id: (a, axis_sizes[a.id]) for a in descr.axes -1469 } -1470 -1471 for descr, array in tensors.values(): -1472 if array.dtype.name != descr.dtype: -1473 raise ValueError( -1474 f"{e_msg(descr)}.{tensor_origin}.dtype '{array.dtype.name}' does not" -1475 + f" match described dtype '{descr.dtype}'" -1476 ) +1446 +1447def validate_tensors( +1448 tensors: Mapping[TensorId, Tuple[TensorDescr, NDArray[Any]]], +1449 tensor_origin: str, # for more precise error messages, e.g. 'test_tensor' +1450): +1451 all_tensor_axes: Dict[TensorId, Dict[AxisId, Tuple[AnyAxis, int]]] = {} +1452 +1453 def e_msg(d: TensorDescr): +1454 return f"{'inputs' if isinstance(d, InputTensorDescr) else 'outputs'}[{d.id}]" +1455 +1456 for descr, array in tensors.values(): +1457 try: +1458 axis_sizes = descr.get_axis_sizes_for_array(array) +1459 except ValueError as e: +1460 raise ValueError(f"{e_msg(descr)} {e}") +1461 else: +1462 all_tensor_axes[descr.id] = { +1463 a.id: (a, axis_sizes[a.id]) for a in descr.axes +1464 } +1465 +1466 for descr, array in tensors.values(): +1467 if array.dtype.name != descr.dtype: +1468 raise ValueError( +1469 f"{e_msg(descr)}.{tensor_origin}.dtype '{array.dtype.name}' does not" +1470 + f" match described dtype '{descr.dtype}'" +1471 ) +1472 +1473 for a in descr.axes: +1474 actual_size = all_tensor_axes[descr.id][a.id][1] +1475 if a.size is None: +1476 continue 1477 -1478 for a in descr.axes: -1479 actual_size = all_tensor_axes[descr.id][a.id][1] -1480 if a.size is None: -1481 continue -1482 -1483 if isinstance(a.size, int): -1484 if actual_size != a.size: -1485 raise ValueError( -1486 f"{e_msg(descr)}.{tensor_origin}: axis '{a.id}' " -1487 + f"has incompatible size {actual_size}, expected {a.size}" -1488 ) -1489 elif isinstance(a.size, ParameterizedSize): -1490 _ = a.size.validate_size(actual_size) -1491 elif isinstance(a.size, DataDependentSize): -1492 _ = a.size.validate_size(actual_size) -1493 elif isinstance(a.size, SizeReference): -1494 ref_tensor_axes = all_tensor_axes.get(a.size.tensor_id) -1495 if ref_tensor_axes is None: -1496 raise ValueError( -1497 f"{e_msg(descr)}.axes[{a.id}].size.tensor_id: Unknown tensor" -1498 + f" reference '{a.size.tensor_id}'" -1499 ) -1500 -1501 ref_axis, ref_size = ref_tensor_axes.get(a.size.axis_id, (None, None)) -1502 if ref_axis is None or ref_size is None: -1503 raise ValueError( -1504 f"{e_msg(descr)}.axes[{a.id}].size.axis_id: Unknown tensor axis" -1505 + f" reference '{a.size.tensor_id}.{a.size.axis_id}" -1506 ) -1507 -1508 if a.unit != ref_axis.unit: -1509 raise ValueError( -1510 f"{e_msg(descr)}.axes[{a.id}].size: `SizeReference` requires" -1511 + " axis and reference axis to have the same `unit`, but" -1512 + f" {a.unit}!={ref_axis.unit}" +1478 if isinstance(a.size, int): +1479 if actual_size != a.size: +1480 raise ValueError( +1481 f"{e_msg(descr)}.{tensor_origin}: axis '{a.id}' " +1482 + f"has incompatible size {actual_size}, expected {a.size}" +1483 ) +1484 elif isinstance(a.size, ParameterizedSize): +1485 _ = a.size.validate_size(actual_size) +1486 elif isinstance(a.size, DataDependentSize): +1487 _ = a.size.validate_size(actual_size) +1488 elif isinstance(a.size, SizeReference): +1489 ref_tensor_axes = all_tensor_axes.get(a.size.tensor_id) +1490 if ref_tensor_axes is None: +1491 raise ValueError( +1492 f"{e_msg(descr)}.axes[{a.id}].size.tensor_id: Unknown tensor" +1493 + f" reference '{a.size.tensor_id}'" +1494 ) +1495 +1496 ref_axis, ref_size = ref_tensor_axes.get(a.size.axis_id, (None, None)) +1497 if ref_axis is None or ref_size is None: +1498 raise ValueError( +1499 f"{e_msg(descr)}.axes[{a.id}].size.axis_id: Unknown tensor axis" +1500 + f" reference '{a.size.tensor_id}.{a.size.axis_id}" +1501 ) +1502 +1503 if a.unit != ref_axis.unit: +1504 raise ValueError( +1505 f"{e_msg(descr)}.axes[{a.id}].size: `SizeReference` requires" +1506 + " axis and reference axis to have the same `unit`, but" +1507 + f" {a.unit}!={ref_axis.unit}" +1508 ) +1509 +1510 if actual_size != ( +1511 expected_size := ( +1512 ref_size * ref_axis.scale / a.scale + a.size.offset 1513 ) -1514 -1515 if actual_size != ( -1516 expected_size := ( -1517 ref_size * ref_axis.scale / a.scale + a.size.offset -1518 ) -1519 ): -1520 raise ValueError( -1521 f"{e_msg(descr)}.{tensor_origin}: axis '{a.id}' of size" -1522 + f" {actual_size} invalid for referenced size {ref_size};" -1523 + f" expected {expected_size}" -1524 ) -1525 else: -1526 assert_never(a.size) -1527 -1528 -1529class EnvironmentFileDescr(FileDescr): -1530 source: Annotated[ -1531 ImportantFileSource, -1532 WithSuffix((".yaml", ".yml"), case_sensitive=True), -1533 Field( -1534 examples=["environment.yaml"], -1535 ), -1536 ] -1537 """∈📦 Conda environment file. -1538 Allows to specify custom dependencies, see conda docs: -1539 - [Exporting an environment file across platforms](https://conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html#exporting-an-environment-file-across-platforms) -1540 - [Creating an environment file manually](https://conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html#creating-an-environment-file-manually) -1541 """ +1514 ): +1515 raise ValueError( +1516 f"{e_msg(descr)}.{tensor_origin}: axis '{a.id}' of size" +1517 + f" {actual_size} invalid for referenced size {ref_size};" +1518 + f" expected {expected_size}" +1519 ) +1520 else: +1521 assert_never(a.size) +1522 +1523 +1524class EnvironmentFileDescr(FileDescr): +1525 source: Annotated[ +1526 ImportantFileSource, +1527 WithSuffix((".yaml", ".yml"), case_sensitive=True), +1528 Field( +1529 examples=["environment.yaml"], +1530 ), +1531 ] +1532 """∈📦 Conda environment file. +1533 Allows to specify custom dependencies, see conda docs: +1534 - [Exporting an environment file across platforms](https://conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html#exporting-an-environment-file-across-platforms) +1535 - [Creating an environment file manually](https://conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html#creating-an-environment-file-manually) +1536 """ +1537 +1538 +1539class _ArchitectureCallableDescr(Node): +1540 callable: Annotated[Identifier, Field(examples=["MyNetworkClass", "get_my_model"])] +1541 """Identifier of the callable that returns a torch.nn.Module instance.""" 1542 -1543 -1544class _ArchitectureCallableDescr(Node): -1545 callable: Annotated[Identifier, Field(examples=["MyNetworkClass", "get_my_model"])] -1546 """Identifier of the callable that returns a torch.nn.Module instance.""" -1547 -1548 kwargs: Dict[str, YamlValue] = Field(default_factory=dict) -1549 """key word arguments for the `callable`""" +1543 kwargs: Dict[str, YamlValue] = Field(default_factory=dict) +1544 """key word arguments for the `callable`""" +1545 +1546 +1547class ArchitectureFromFileDescr(_ArchitectureCallableDescr, FileDescr): +1548 pass +1549 1550 -1551 -1552class ArchitectureFromFileDescr(_ArchitectureCallableDescr, FileDescr): -1553 pass +1551class ArchitectureFromLibraryDescr(_ArchitectureCallableDescr): +1552 import_from: str +1553 """Where to import the callable from, i.e. `from <import_from> import <callable>`""" 1554 1555 -1556class ArchitectureFromLibraryDescr(_ArchitectureCallableDescr): -1557 import_from: str -1558 """Where to import the callable from, i.e. `from <import_from> import <callable>`""" -1559 -1560 -1561ArchitectureDescr = Union[ArchitectureFromFileDescr, ArchitectureFromLibraryDescr] -1562 -1563 -1564class _ArchFileConv( -1565 Converter[ -1566 _CallableFromFile_v0_4, -1567 ArchitectureFromFileDescr, -1568 Optional[Sha256], -1569 Dict[str, Any], -1570 ] -1571): -1572 def _convert( -1573 self, -1574 src: _CallableFromFile_v0_4, -1575 tgt: "type[ArchitectureFromFileDescr | dict[str, Any]]", -1576 sha256: Optional[Sha256], -1577 kwargs: Dict[str, Any], -1578 ) -> "ArchitectureFromFileDescr | dict[str, Any]": -1579 if src.startswith("http") and src.count(":") == 2: -1580 http, source, callable_ = src.split(":") -1581 source = ":".join((http, source)) -1582 elif not src.startswith("http") and src.count(":") == 1: -1583 source, callable_ = src.split(":") -1584 else: -1585 source = str(src) -1586 callable_ = str(src) -1587 return tgt( -1588 callable=Identifier(callable_), -1589 source=cast(ImportantFileSource, source), -1590 sha256=sha256, -1591 kwargs=kwargs, -1592 ) -1593 -1594 -1595_arch_file_conv = _ArchFileConv(_CallableFromFile_v0_4, ArchitectureFromFileDescr) -1596 -1597 -1598class _ArchLibConv( -1599 Converter[ -1600 _CallableFromDepencency_v0_4, ArchitectureFromLibraryDescr, Dict[str, Any] -1601 ] -1602): -1603 def _convert( -1604 self, -1605 src: _CallableFromDepencency_v0_4, -1606 tgt: "type[ArchitectureFromLibraryDescr | dict[str, Any]]", -1607 kwargs: Dict[str, Any], -1608 ) -> "ArchitectureFromLibraryDescr | dict[str, Any]": -1609 *mods, callable_ = src.split(".") -1610 import_from = ".".join(mods) -1611 return tgt( -1612 import_from=import_from, callable=Identifier(callable_), kwargs=kwargs -1613 ) +1556ArchitectureDescr = Union[ArchitectureFromFileDescr, ArchitectureFromLibraryDescr] +1557 +1558 +1559class _ArchFileConv( +1560 Converter[ +1561 _CallableFromFile_v0_4, +1562 ArchitectureFromFileDescr, +1563 Optional[Sha256], +1564 Dict[str, Any], +1565 ] +1566): +1567 def _convert( +1568 self, +1569 src: _CallableFromFile_v0_4, +1570 tgt: "type[ArchitectureFromFileDescr | dict[str, Any]]", +1571 sha256: Optional[Sha256], +1572 kwargs: Dict[str, Any], +1573 ) -> "ArchitectureFromFileDescr | dict[str, Any]": +1574 if src.startswith("http") and src.count(":") == 2: +1575 http, source, callable_ = src.split(":") +1576 source = ":".join((http, source)) +1577 elif not src.startswith("http") and src.count(":") == 1: +1578 source, callable_ = src.split(":") +1579 else: +1580 source = str(src) +1581 callable_ = str(src) +1582 return tgt( +1583 callable=Identifier(callable_), +1584 source=cast(ImportantFileSource, source), +1585 sha256=sha256, +1586 kwargs=kwargs, +1587 ) +1588 +1589 +1590_arch_file_conv = _ArchFileConv(_CallableFromFile_v0_4, ArchitectureFromFileDescr) +1591 +1592 +1593class _ArchLibConv( +1594 Converter[ +1595 _CallableFromDepencency_v0_4, ArchitectureFromLibraryDescr, Dict[str, Any] +1596 ] +1597): +1598 def _convert( +1599 self, +1600 src: _CallableFromDepencency_v0_4, +1601 tgt: "type[ArchitectureFromLibraryDescr | dict[str, Any]]", +1602 kwargs: Dict[str, Any], +1603 ) -> "ArchitectureFromLibraryDescr | dict[str, Any]": +1604 *mods, callable_ = src.split(".") +1605 import_from = ".".join(mods) +1606 return tgt( +1607 import_from=import_from, callable=Identifier(callable_), kwargs=kwargs +1608 ) +1609 +1610 +1611_arch_lib_conv = _ArchLibConv( +1612 _CallableFromDepencency_v0_4, ArchitectureFromLibraryDescr +1613) 1614 1615 -1616_arch_lib_conv = _ArchLibConv( -1617 _CallableFromDepencency_v0_4, ArchitectureFromLibraryDescr -1618) +1616class WeightsEntryDescrBase(FileDescr): +1617 type: ClassVar[WeightsFormat] +1618 weights_format_name: ClassVar[str] # human readable 1619 -1620 -1621class WeightsEntryDescrBase(FileDescr): -1622 type: ClassVar[WeightsFormat] -1623 weights_format_name: ClassVar[str] # human readable -1624 -1625 source: ImportantFileSource -1626 """∈📦 The weights file.""" -1627 -1628 authors: Optional[List[Author]] = None -1629 """Authors -1630 Either the person(s) that have trained this model resulting in the original weights file. -1631 (If this is the initial weights entry, i.e. it does not have a `parent`) -1632 Or the person(s) who have converted the weights to this weights format. -1633 (If this is a child weight, i.e. it has a `parent` field) -1634 """ -1635 -1636 parent: Annotated[ -1637 Optional[WeightsFormat], Field(examples=["pytorch_state_dict"]) -1638 ] = None -1639 """The source weights these weights were converted from. -1640 For example, if a model's weights were converted from the `pytorch_state_dict` format to `torchscript`, -1641 The `pytorch_state_dict` weights entry has no `parent` and is the parent of the `torchscript` weights. -1642 All weight entries except one (the initial set of weights resulting from training the model), -1643 need to have this field.""" +1620 source: ImportantFileSource +1621 """∈📦 The weights file.""" +1622 +1623 authors: Optional[List[Author]] = None +1624 """Authors +1625 Either the person(s) that have trained this model resulting in the original weights file. +1626 (If this is the initial weights entry, i.e. it does not have a `parent`) +1627 Or the person(s) who have converted the weights to this weights format. +1628 (If this is a child weight, i.e. it has a `parent` field) +1629 """ +1630 +1631 parent: Annotated[ +1632 Optional[WeightsFormat], Field(examples=["pytorch_state_dict"]) +1633 ] = None +1634 """The source weights these weights were converted from. +1635 For example, if a model's weights were converted from the `pytorch_state_dict` format to `torchscript`, +1636 The `pytorch_state_dict` weights entry has no `parent` and is the parent of the `torchscript` weights. +1637 All weight entries except one (the initial set of weights resulting from training the model), +1638 need to have this field.""" +1639 +1640 @model_validator(mode="after") +1641 def check_parent_is_not_self(self) -> Self: +1642 if self.type == self.parent: +1643 raise ValueError("Weights entry can't be it's own parent.") 1644 -1645 @model_validator(mode="after") -1646 def check_parent_is_not_self(self) -> Self: -1647 if self.type == self.parent: -1648 raise ValueError("Weights entry can't be it's own parent.") -1649 -1650 return self -1651 -1652 -1653class KerasHdf5WeightsDescr(WeightsEntryDescrBase): -1654 type = "keras_hdf5" -1655 weights_format_name: ClassVar[str] = "Keras HDF5" -1656 tensorflow_version: Version -1657 """TensorFlow version used to create these weights.""" -1658 -1659 -1660class OnnxWeightsDescr(WeightsEntryDescrBase): -1661 type = "onnx" -1662 weights_format_name: ClassVar[str] = "ONNX" -1663 opset_version: Annotated[int, Ge(7)] -1664 """ONNX opset version""" -1665 -1666 -1667class PytorchStateDictWeightsDescr(WeightsEntryDescrBase): -1668 type = "pytorch_state_dict" -1669 weights_format_name: ClassVar[str] = "Pytorch State Dict" -1670 architecture: ArchitectureDescr -1671 pytorch_version: Version -1672 """Version of the PyTorch library used. -1673 If `architecture.depencencies` is specified it has to include pytorch and any version pinning has to be compatible. +1645 return self +1646 +1647 +1648class KerasHdf5WeightsDescr(WeightsEntryDescrBase): +1649 type = "keras_hdf5" +1650 weights_format_name: ClassVar[str] = "Keras HDF5" +1651 tensorflow_version: Version +1652 """TensorFlow version used to create these weights.""" +1653 +1654 +1655class OnnxWeightsDescr(WeightsEntryDescrBase): +1656 type = "onnx" +1657 weights_format_name: ClassVar[str] = "ONNX" +1658 opset_version: Annotated[int, Ge(7)] +1659 """ONNX opset version""" +1660 +1661 +1662class PytorchStateDictWeightsDescr(WeightsEntryDescrBase): +1663 type = "pytorch_state_dict" +1664 weights_format_name: ClassVar[str] = "Pytorch State Dict" +1665 architecture: ArchitectureDescr +1666 pytorch_version: Version +1667 """Version of the PyTorch library used. +1668 If `architecture.depencencies` is specified it has to include pytorch and any version pinning has to be compatible. +1669 """ +1670 dependencies: Optional[EnvironmentFileDescr] = None +1671 """Custom depencies beyond pytorch. +1672 The conda environment file should include pytorch and any version pinning has to be compatible with +1673 `pytorch_version`. 1674 """ -1675 dependencies: Optional[EnvironmentFileDescr] = None -1676 """Custom depencies beyond pytorch. -1677 The conda environment file should include pytorch and any version pinning has to be compatible with -1678 `pytorch_version`. -1679 """ -1680 -1681 -1682class TensorflowJsWeightsDescr(WeightsEntryDescrBase): -1683 type = "tensorflow_js" -1684 weights_format_name: ClassVar[str] = "Tensorflow.js" -1685 tensorflow_version: Version -1686 """Version of the TensorFlow library used.""" +1675 +1676 +1677class TensorflowJsWeightsDescr(WeightsEntryDescrBase): +1678 type = "tensorflow_js" +1679 weights_format_name: ClassVar[str] = "Tensorflow.js" +1680 tensorflow_version: Version +1681 """Version of the TensorFlow library used.""" +1682 +1683 source: ImportantFileSource +1684 """∈📦 The multi-file weights. +1685 All required files/folders should be a zip archive.""" +1686 1687 -1688 source: ImportantFileSource -1689 """∈📦 The multi-file weights. -1690 All required files/folders should be a zip archive.""" -1691 -1692 -1693class TensorflowSavedModelBundleWeightsDescr(WeightsEntryDescrBase): -1694 type = "tensorflow_saved_model_bundle" -1695 weights_format_name: ClassVar[str] = "Tensorflow Saved Model" -1696 tensorflow_version: Version -1697 """Version of the TensorFlow library used.""" -1698 -1699 dependencies: Optional[EnvironmentFileDescr] = None -1700 """Custom dependencies beyond tensorflow. -1701 Should include tensorflow and any version pinning has to be compatible with `tensorflow_version`.""" +1688class TensorflowSavedModelBundleWeightsDescr(WeightsEntryDescrBase): +1689 type = "tensorflow_saved_model_bundle" +1690 weights_format_name: ClassVar[str] = "Tensorflow Saved Model" +1691 tensorflow_version: Version +1692 """Version of the TensorFlow library used.""" +1693 +1694 dependencies: Optional[EnvironmentFileDescr] = None +1695 """Custom dependencies beyond tensorflow. +1696 Should include tensorflow and any version pinning has to be compatible with `tensorflow_version`.""" +1697 +1698 source: ImportantFileSource +1699 """∈📦 The multi-file weights. +1700 All required files/folders should be a zip archive.""" +1701 1702 -1703 source: ImportantFileSource -1704 """∈📦 The multi-file weights. -1705 All required files/folders should be a zip archive.""" -1706 -1707 -1708class TorchscriptWeightsDescr(WeightsEntryDescrBase): -1709 type = "torchscript" -1710 weights_format_name: ClassVar[str] = "TorchScript" -1711 pytorch_version: Version -1712 """Version of the PyTorch library used.""" -1713 -1714 -1715class WeightsDescr(Node): -1716 keras_hdf5: Optional[KerasHdf5WeightsDescr] = None -1717 onnx: Optional[OnnxWeightsDescr] = None -1718 pytorch_state_dict: Optional[PytorchStateDictWeightsDescr] = None -1719 tensorflow_js: Optional[TensorflowJsWeightsDescr] = None -1720 tensorflow_saved_model_bundle: Optional[TensorflowSavedModelBundleWeightsDescr] = ( -1721 None -1722 ) -1723 torchscript: Optional[TorchscriptWeightsDescr] = None -1724 -1725 @model_validator(mode="after") -1726 def check_entries(self) -> Self: -1727 entries = {wtype for wtype, entry in self if entry is not None} -1728 -1729 if not entries: -1730 raise ValueError("Missing weights entry") -1731 -1732 entries_wo_parent = { -1733 wtype -1734 for wtype, entry in self -1735 if entry is not None and hasattr(entry, "parent") and entry.parent is None -1736 } -1737 if len(entries_wo_parent) != 1: -1738 issue_warning( -1739 "Exactly one weights entry may not specify the `parent` field (got" -1740 + " {value}).That entry is considered the original set of model weights." -1741 + " Other weight formats are created through conversion of the orignal or" -1742 + " already converted weights. They have to reference the weights format" -1743 + " they were converted from as their `parent`.", -1744 value=len(entries_wo_parent), -1745 ) -1746 -1747 for wtype, entry in self: -1748 if entry is None: -1749 continue -1750 -1751 assert hasattr(entry, "type") -1752 assert hasattr(entry, "parent") -1753 assert wtype == entry.type -1754 if ( -1755 entry.parent is not None and entry.parent not in entries -1756 ): # self reference checked for `parent` field -1757 raise ValueError( -1758 f"`weights.{wtype}.parent={entry.parent} not in specified weight" -1759 + f" formats: {entries}" -1760 ) -1761 -1762 return self -1763 -1764 -1765class LinkedModel(Node): -1766 """Reference to a bioimage.io model.""" -1767 -1768 id: ModelId -1769 """A valid model `id` from the bioimage.io collection.""" -1770 -1771 version_number: int -1772 """version number (n-th published version, not the semantic version) of linked model""" +1703class TorchscriptWeightsDescr(WeightsEntryDescrBase): +1704 type = "torchscript" +1705 weights_format_name: ClassVar[str] = "TorchScript" +1706 pytorch_version: Version +1707 """Version of the PyTorch library used.""" +1708 +1709 +1710class WeightsDescr(Node): +1711 keras_hdf5: Optional[KerasHdf5WeightsDescr] = None +1712 onnx: Optional[OnnxWeightsDescr] = None +1713 pytorch_state_dict: Optional[PytorchStateDictWeightsDescr] = None +1714 tensorflow_js: Optional[TensorflowJsWeightsDescr] = None +1715 tensorflow_saved_model_bundle: Optional[TensorflowSavedModelBundleWeightsDescr] = ( +1716 None +1717 ) +1718 torchscript: Optional[TorchscriptWeightsDescr] = None +1719 +1720 @model_validator(mode="after") +1721 def check_entries(self) -> Self: +1722 entries = {wtype for wtype, entry in self if entry is not None} +1723 +1724 if not entries: +1725 raise ValueError("Missing weights entry") +1726 +1727 entries_wo_parent = { +1728 wtype +1729 for wtype, entry in self +1730 if entry is not None and hasattr(entry, "parent") and entry.parent is None +1731 } +1732 if len(entries_wo_parent) != 1: +1733 issue_warning( +1734 "Exactly one weights entry may not specify the `parent` field (got" +1735 + " {value}).That entry is considered the original set of model weights." +1736 + " Other weight formats are created through conversion of the orignal or" +1737 + " already converted weights. They have to reference the weights format" +1738 + " they were converted from as their `parent`.", +1739 value=len(entries_wo_parent), +1740 ) +1741 +1742 for wtype, entry in self: +1743 if entry is None: +1744 continue +1745 +1746 assert hasattr(entry, "type") +1747 assert hasattr(entry, "parent") +1748 assert wtype == entry.type +1749 if ( +1750 entry.parent is not None and entry.parent not in entries +1751 ): # self reference checked for `parent` field +1752 raise ValueError( +1753 f"`weights.{wtype}.parent={entry.parent} not in specified weight" +1754 + f" formats: {entries}" +1755 ) +1756 +1757 return self +1758 +1759 +1760class LinkedModel(Node): +1761 """Reference to a bioimage.io model.""" +1762 +1763 id: ModelId +1764 """A valid model `id` from the bioimage.io collection.""" +1765 +1766 version_number: int +1767 """version number (n-th published version, not the semantic version) of linked model""" +1768 +1769 +1770class _DataDepSize(NamedTuple): +1771 min: int +1772 max: Optional[int] 1773 1774 -1775class _DataDepSize(NamedTuple): -1776 min: int -1777 max: Optional[int] -1778 -1779 -1780class _TensorSizes(NamedTuple): -1781 predetermined: Dict[Tuple[TensorId, AxisId], int] -1782 """size of axis (given `n` for `ParameterizedSize`)""" -1783 data_dependent: Dict[Tuple[TensorId, AxisId], _DataDepSize] -1784 """min,max size of data dependent axis""" -1785 +1775class _TensorSizes(NamedTuple): +1776 predetermined: Dict[Tuple[TensorId, AxisId], int] +1777 """size of axis (given `n` for `ParameterizedSize`)""" +1778 data_dependent: Dict[Tuple[TensorId, AxisId], _DataDepSize] +1779 """min,max size of data dependent axis""" +1780 +1781 +1782class ModelDescr(GenericModelDescrBase, title="bioimage.io model specification"): +1783 """Specification of the fields used in a bioimage.io-compliant RDF to describe AI models with pretrained weights. +1784 These fields are typically stored in a YAML file which we call a model resource description file (model RDF). +1785 """ 1786 -1787class ModelDescr(GenericModelDescrBase, title="bioimage.io model specification"): -1788 """Specification of the fields used in a bioimage.io-compliant RDF to describe AI models with pretrained weights. -1789 These fields are typically stored in a YAML file which we call a model resource description file (model RDF). -1790 """ -1791 -1792 format_version: Literal["0.5.0"] = "0.5.0" -1793 """Version of the bioimage.io model description specification used. -1794 When creating a new model always use the latest micro/patch version described here. -1795 The `format_version` is important for any consumer software to understand how to parse the fields. -1796 """ -1797 -1798 type: Literal["model"] = "model" -1799 """Specialized resource type 'model'""" -1800 -1801 id: Optional[ModelId] = None -1802 """Model zoo (bioimage.io) wide, unique identifier (assigned by bioimage.io)""" -1803 -1804 authors: NotEmpty[List[Author]] -1805 """The authors are the creators of the model RDF and the primary points of contact.""" -1806 -1807 documentation: Annotated[ -1808 DocumentationSource, -1809 Field( -1810 examples=[ -1811 "https://raw.githubusercontent.com/bioimage-io/spec-bioimage-io/main/example_descriptions/models/unet2d_nuclei_broad/README.md", -1812 "README.md", -1813 ], -1814 ), -1815 ] -1816 """∈📦 URL or relative path to a markdown file with additional documentation. -1817 The recommended documentation file name is `README.md`. An `.md` suffix is mandatory. -1818 The documentation should include a '#[#] Validation' (sub)section -1819 with details on how to quantitatively validate the model on unseen data.""" -1820 -1821 @field_validator("documentation", mode="after") -1822 @classmethod -1823 def _validate_documentation(cls, value: DocumentationSource) -> DocumentationSource: -1824 if not validation_context_var.get().perform_io_checks: -1825 return value -1826 -1827 doc_path = download(value).path -1828 doc_content = doc_path.read_text() -1829 if not re.match("#.*[vV]alidation", doc_content): -1830 issue_warning( -1831 "No '# Validation' (sub)section found in {value}.", value=value -1832 ) +1787 format_version: Literal["0.5.0"] = "0.5.0" +1788 """Version of the bioimage.io model description specification used. +1789 When creating a new model always use the latest micro/patch version described here. +1790 The `format_version` is important for any consumer software to understand how to parse the fields. +1791 """ +1792 +1793 type: Literal["model"] = "model" +1794 """Specialized resource type 'model'""" +1795 +1796 id: Optional[ModelId] = None +1797 """Model zoo (bioimage.io) wide, unique identifier (assigned by bioimage.io)""" +1798 +1799 authors: NotEmpty[List[Author]] +1800 """The authors are the creators of the model RDF and the primary points of contact.""" +1801 +1802 documentation: Annotated[ +1803 DocumentationSource, +1804 Field( +1805 examples=[ +1806 "https://raw.githubusercontent.com/bioimage-io/spec-bioimage-io/main/example_descriptions/models/unet2d_nuclei_broad/README.md", +1807 "README.md", +1808 ], +1809 ), +1810 ] +1811 """∈📦 URL or relative path to a markdown file with additional documentation. +1812 The recommended documentation file name is `README.md`. An `.md` suffix is mandatory. +1813 The documentation should include a '#[#] Validation' (sub)section +1814 with details on how to quantitatively validate the model on unseen data.""" +1815 +1816 @field_validator("documentation", mode="after") +1817 @classmethod +1818 def _validate_documentation(cls, value: DocumentationSource) -> DocumentationSource: +1819 if not validation_context_var.get().perform_io_checks: +1820 return value +1821 +1822 doc_path = download(value).path +1823 doc_content = doc_path.read_text() +1824 if not re.match("#.*[vV]alidation", doc_content): +1825 issue_warning( +1826 "No '# Validation' (sub)section found in {value}.", value=value +1827 ) +1828 +1829 return value +1830 +1831 inputs: NotEmpty[Sequence[InputTensorDescr]] +1832 """Describes the input tensors expected by this model.""" 1833 -1834 return value -1835 -1836 inputs: NotEmpty[Sequence[InputTensorDescr]] -1837 """Describes the input tensors expected by this model.""" -1838 -1839 @field_validator("inputs", mode="after") -1840 @classmethod -1841 def _validate_input_axes( -1842 cls, inputs: Sequence[InputTensorDescr] -1843 ) -> Sequence[InputTensorDescr]: -1844 input_size_refs = cls._get_axes_with_independent_size(inputs) -1845 -1846 for i, ipt in enumerate(inputs): -1847 valid_independent_refs: Dict[ -1848 Tuple[TensorId, AxisId], -1849 Tuple[TensorDescr, AnyAxis, Union[int, ParameterizedSize]], -1850 ] = { -1851 **{ -1852 (ipt.id, a.id): (ipt, a, a.size) -1853 for a in ipt.axes -1854 if not isinstance(a, BatchAxis) -1855 and isinstance(a.size, (int, ParameterizedSize)) -1856 }, -1857 **input_size_refs, -1858 } -1859 for a, ax in enumerate(ipt.axes): -1860 cls._validate_axis( -1861 "inputs", -1862 i=i, -1863 tensor_id=ipt.id, -1864 a=a, -1865 axis=ax, -1866 valid_independent_refs=valid_independent_refs, -1867 ) -1868 return inputs -1869 -1870 @staticmethod -1871 def _validate_axis( -1872 field_name: str, -1873 i: int, -1874 tensor_id: TensorId, -1875 a: int, -1876 axis: AnyAxis, -1877 valid_independent_refs: Dict[ -1878 Tuple[TensorId, AxisId], -1879 Tuple[TensorDescr, AnyAxis, Union[int, ParameterizedSize]], -1880 ], -1881 ): -1882 if isinstance(axis, BatchAxis) or isinstance(axis.size, int): -1883 return -1884 -1885 if isinstance(axis.size, (ParameterizedSize, DataDependentSize)): -1886 if isinstance(axis, WithHalo) and (axis.size.min - 2 * axis.halo) < 1: -1887 raise ValueError( -1888 f"axis {axis.id} with minimum size {axis.size.min} is too small for" -1889 + f" halo {axis.halo}." -1890 ) -1891 -1892 elif isinstance(axis.size, SizeReference): -1893 ref = (axis.size.tensor_id, axis.size.axis_id) -1894 if ref not in valid_independent_refs: +1834 @field_validator("inputs", mode="after") +1835 @classmethod +1836 def _validate_input_axes( +1837 cls, inputs: Sequence[InputTensorDescr] +1838 ) -> Sequence[InputTensorDescr]: +1839 input_size_refs = cls._get_axes_with_independent_size(inputs) +1840 +1841 for i, ipt in enumerate(inputs): +1842 valid_independent_refs: Dict[ +1843 Tuple[TensorId, AxisId], +1844 Tuple[TensorDescr, AnyAxis, Union[int, ParameterizedSize]], +1845 ] = { +1846 **{ +1847 (ipt.id, a.id): (ipt, a, a.size) +1848 for a in ipt.axes +1849 if not isinstance(a, BatchAxis) +1850 and isinstance(a.size, (int, ParameterizedSize)) +1851 }, +1852 **input_size_refs, +1853 } +1854 for a, ax in enumerate(ipt.axes): +1855 cls._validate_axis( +1856 "inputs", +1857 i=i, +1858 tensor_id=ipt.id, +1859 a=a, +1860 axis=ax, +1861 valid_independent_refs=valid_independent_refs, +1862 ) +1863 return inputs +1864 +1865 @staticmethod +1866 def _validate_axis( +1867 field_name: str, +1868 i: int, +1869 tensor_id: TensorId, +1870 a: int, +1871 axis: AnyAxis, +1872 valid_independent_refs: Dict[ +1873 Tuple[TensorId, AxisId], +1874 Tuple[TensorDescr, AnyAxis, Union[int, ParameterizedSize]], +1875 ], +1876 ): +1877 if isinstance(axis, BatchAxis) or isinstance(axis.size, int): +1878 return +1879 +1880 if isinstance(axis.size, (ParameterizedSize, DataDependentSize)): +1881 if isinstance(axis, WithHalo) and (axis.size.min - 2 * axis.halo) < 1: +1882 raise ValueError( +1883 f"axis {axis.id} with minimum size {axis.size.min} is too small for" +1884 + f" halo {axis.halo}." +1885 ) +1886 +1887 elif isinstance(axis.size, SizeReference): +1888 ref = (axis.size.tensor_id, axis.size.axis_id) +1889 if ref not in valid_independent_refs: +1890 raise ValueError( +1891 "Invalid tensor axis reference at" +1892 + f" {field_name}[{i}].axes[{a}].size: {axis.size}." +1893 ) +1894 if ref == (tensor_id, axis.id): 1895 raise ValueError( -1896 "Invalid tensor axis reference at" -1897 + f" {field_name}[{i}].axes[{a}].size: {axis.size}." +1896 "Self-referencing not allowed for" +1897 + f" {field_name}[{i}].axes[{a}].size: {axis.size}" 1898 ) -1899 if ref == (tensor_id, axis.id): -1900 raise ValueError( -1901 "Self-referencing not allowed for" -1902 + f" {field_name}[{i}].axes[{a}].size: {axis.size}" -1903 ) -1904 if axis.type == "channel": -1905 if valid_independent_refs[ref][1].type != "channel": -1906 raise ValueError( -1907 "A channel axis' size may only reference another fixed size" -1908 + " channel axis." -1909 ) -1910 if isinstance(axis.channel_names, str) and "{i}" in axis.channel_names: -1911 ref_size = valid_independent_refs[ref][2] -1912 assert isinstance(ref_size, int), ( -1913 "channel axis ref (another channel axis) has to specify fixed" -1914 + " size" -1915 ) -1916 generated_channel_names = [ -1917 Identifier(axis.channel_names.format(i=i)) -1918 for i in range(1, ref_size + 1) -1919 ] -1920 axis.channel_names = generated_channel_names -1921 -1922 if (ax_unit := getattr(axis, "unit", None)) != ( -1923 ref_unit := getattr(valid_independent_refs[ref][1], "unit", None) -1924 ): -1925 raise ValueError( -1926 "The units of an axis and its reference axis need to match, but" -1927 + f" '{ax_unit}' != '{ref_unit}'." -1928 ) -1929 min_size = valid_independent_refs[ref][2] -1930 if isinstance(min_size, ParameterizedSize): -1931 min_size = min_size.min -1932 -1933 if isinstance(axis, WithHalo) and (min_size - 2 * axis.halo) < 1: -1934 raise ValueError( -1935 f"axis {axis.id} with minimum size {min_size} is too small for halo" -1936 + f" {axis.halo}." -1937 ) -1938 -1939 else: -1940 assert_never(axis.size) +1899 if axis.type == "channel": +1900 if valid_independent_refs[ref][1].type != "channel": +1901 raise ValueError( +1902 "A channel axis' size may only reference another fixed size" +1903 + " channel axis." +1904 ) +1905 if isinstance(axis.channel_names, str) and "{i}" in axis.channel_names: +1906 ref_size = valid_independent_refs[ref][2] +1907 assert isinstance(ref_size, int), ( +1908 "channel axis ref (another channel axis) has to specify fixed" +1909 + " size" +1910 ) +1911 generated_channel_names = [ +1912 Identifier(axis.channel_names.format(i=i)) +1913 for i in range(1, ref_size + 1) +1914 ] +1915 axis.channel_names = generated_channel_names +1916 +1917 if (ax_unit := getattr(axis, "unit", None)) != ( +1918 ref_unit := getattr(valid_independent_refs[ref][1], "unit", None) +1919 ): +1920 raise ValueError( +1921 "The units of an axis and its reference axis need to match, but" +1922 + f" '{ax_unit}' != '{ref_unit}'." +1923 ) +1924 min_size = valid_independent_refs[ref][2] +1925 if isinstance(min_size, ParameterizedSize): +1926 min_size = min_size.min +1927 +1928 if isinstance(axis, WithHalo) and (min_size - 2 * axis.halo) < 1: +1929 raise ValueError( +1930 f"axis {axis.id} with minimum size {min_size} is too small for halo" +1931 + f" {axis.halo}." +1932 ) +1933 +1934 else: +1935 assert_never(axis.size) +1936 +1937 @model_validator(mode="after") +1938 def _validate_test_tensors(self) -> Self: +1939 if not validation_context_var.get().perform_io_checks: +1940 return self 1941 -1942 @model_validator(mode="after") -1943 def _validate_test_tensors(self) -> Self: -1944 if not validation_context_var.get().perform_io_checks: -1945 return self -1946 -1947 test_arrays = [ -1948 load_array(descr.test_tensor.download().path) -1949 for descr in chain(self.inputs, self.outputs) -1950 ] -1951 tensors = { -1952 descr.id: (descr, array) -1953 for descr, array in zip(chain(self.inputs, self.outputs), test_arrays) -1954 } -1955 validate_tensors(tensors, tensor_origin="test_tensor") -1956 return self -1957 -1958 @model_validator(mode="after") -1959 def _validate_tensor_references_in_proc_kwargs(self, info: ValidationInfo) -> Self: -1960 ipt_refs = {t.id for t in self.inputs} -1961 out_refs = {t.id for t in self.outputs} -1962 for ipt in self.inputs: -1963 for p in ipt.preprocessing: -1964 ref = p.kwargs.get("reference_tensor") -1965 if ref is None: -1966 continue -1967 if ref not in ipt_refs: -1968 raise ValueError( -1969 f"`reference_tensor` '{ref}' not found. Valid input tensor" -1970 + f" references are: {ipt_refs}." -1971 ) -1972 -1973 for out in self.outputs: -1974 for p in out.postprocessing: -1975 ref = p.kwargs.get("reference_tensor") -1976 if ref is None: -1977 continue -1978 -1979 if ref not in ipt_refs and ref not in out_refs: -1980 raise ValueError( -1981 f"`reference_tensor` '{ref}' not found. Valid tensor references" -1982 + f" are: {ipt_refs | out_refs}." -1983 ) +1942 test_arrays = [ +1943 load_array(descr.test_tensor.download().path) +1944 for descr in chain(self.inputs, self.outputs) +1945 ] +1946 tensors = { +1947 descr.id: (descr, array) +1948 for descr, array in zip(chain(self.inputs, self.outputs), test_arrays) +1949 } +1950 validate_tensors(tensors, tensor_origin="test_tensor") +1951 return self +1952 +1953 @model_validator(mode="after") +1954 def _validate_tensor_references_in_proc_kwargs(self, info: ValidationInfo) -> Self: +1955 ipt_refs = {t.id for t in self.inputs} +1956 out_refs = {t.id for t in self.outputs} +1957 for ipt in self.inputs: +1958 for p in ipt.preprocessing: +1959 ref = p.kwargs.get("reference_tensor") +1960 if ref is None: +1961 continue +1962 if ref not in ipt_refs: +1963 raise ValueError( +1964 f"`reference_tensor` '{ref}' not found. Valid input tensor" +1965 + f" references are: {ipt_refs}." +1966 ) +1967 +1968 for out in self.outputs: +1969 for p in out.postprocessing: +1970 ref = p.kwargs.get("reference_tensor") +1971 if ref is None: +1972 continue +1973 +1974 if ref not in ipt_refs and ref not in out_refs: +1975 raise ValueError( +1976 f"`reference_tensor` '{ref}' not found. Valid tensor references" +1977 + f" are: {ipt_refs | out_refs}." +1978 ) +1979 +1980 return self +1981 +1982 # TODO: use validate funcs in validate_test_tensors +1983 # def validate_inputs(self, input_tensors: Mapping[TensorId, NDArray[Any]]) -> Mapping[TensorId, NDArray[Any]]: 1984 -1985 return self -1986 -1987 # TODO: use validate funcs in validate_test_tensors -1988 # def validate_inputs(self, input_tensors: Mapping[TensorId, NDArray[Any]]) -> Mapping[TensorId, NDArray[Any]]: -1989 -1990 name: Annotated[ -1991 Annotated[ -1992 str, RestrictCharacters(string.ascii_letters + string.digits + "_- ()") -1993 ], -1994 MinLen(5), -1995 MaxLen(128), -1996 warn(MaxLen(64), "Name longer than 64 characters.", INFO), -1997 ] -1998 """A human-readable name of this model. -1999 It should be no longer than 64 characters -2000 and may only contain letter, number, underscore, minus, parentheses and spaces. -2001 We recommend to chose a name that refers to the model's task and image modality. -2002 """ -2003 -2004 outputs: NotEmpty[Sequence[OutputTensorDescr]] -2005 """Describes the output tensors.""" -2006 -2007 @field_validator("outputs", mode="after") -2008 @classmethod -2009 def _validate_tensor_ids( -2010 cls, outputs: Sequence[OutputTensorDescr], info: ValidationInfo -2011 ) -> Sequence[OutputTensorDescr]: -2012 tensor_ids = [ -2013 t.id for t in info.data.get("inputs", []) + info.data.get("outputs", []) -2014 ] -2015 duplicate_tensor_ids: List[str] = [] -2016 seen: Set[str] = set() -2017 for t in tensor_ids: -2018 if t in seen: -2019 duplicate_tensor_ids.append(t) +1985 name: Annotated[ +1986 Annotated[ +1987 str, RestrictCharacters(string.ascii_letters + string.digits + "_- ()") +1988 ], +1989 MinLen(5), +1990 MaxLen(128), +1991 warn(MaxLen(64), "Name longer than 64 characters.", INFO), +1992 ] +1993 """A human-readable name of this model. +1994 It should be no longer than 64 characters +1995 and may only contain letter, number, underscore, minus, parentheses and spaces. +1996 We recommend to chose a name that refers to the model's task and image modality. +1997 """ +1998 +1999 outputs: NotEmpty[Sequence[OutputTensorDescr]] +2000 """Describes the output tensors.""" +2001 +2002 @field_validator("outputs", mode="after") +2003 @classmethod +2004 def _validate_tensor_ids( +2005 cls, outputs: Sequence[OutputTensorDescr], info: ValidationInfo +2006 ) -> Sequence[OutputTensorDescr]: +2007 tensor_ids = [ +2008 t.id for t in info.data.get("inputs", []) + info.data.get("outputs", []) +2009 ] +2010 duplicate_tensor_ids: List[str] = [] +2011 seen: Set[str] = set() +2012 for t in tensor_ids: +2013 if t in seen: +2014 duplicate_tensor_ids.append(t) +2015 +2016 seen.add(t) +2017 +2018 if duplicate_tensor_ids: +2019 raise ValueError(f"Duplicate tensor ids: {duplicate_tensor_ids}") 2020 -2021 seen.add(t) +2021 return outputs 2022 -2023 if duplicate_tensor_ids: -2024 raise ValueError(f"Duplicate tensor ids: {duplicate_tensor_ids}") -2025 -2026 return outputs -2027 -2028 @staticmethod -2029 def _get_axes_with_parameterized_size( -2030 io: Union[Sequence[InputTensorDescr], Sequence[OutputTensorDescr]], -2031 ): -2032 return { -2033 f"{t.id}.{a.id}": (t, a, a.size) -2034 for t in io -2035 for a in t.axes -2036 if not isinstance(a, BatchAxis) and isinstance(a.size, ParameterizedSize) -2037 } -2038 -2039 @staticmethod -2040 def _get_axes_with_independent_size( -2041 io: Union[Sequence[InputTensorDescr], Sequence[OutputTensorDescr]], -2042 ): -2043 return { -2044 (t.id, a.id): (t, a, a.size) -2045 for t in io -2046 for a in t.axes -2047 if not isinstance(a, BatchAxis) -2048 and isinstance(a.size, (int, ParameterizedSize)) -2049 } -2050 -2051 @field_validator("outputs", mode="after") -2052 @classmethod -2053 def _validate_output_axes( -2054 cls, outputs: List[OutputTensorDescr], info: ValidationInfo -2055 ) -> List[OutputTensorDescr]: -2056 input_size_refs = cls._get_axes_with_independent_size( -2057 info.data.get("inputs", []) -2058 ) -2059 output_size_refs = cls._get_axes_with_independent_size(outputs) -2060 -2061 for i, out in enumerate(outputs): -2062 valid_independent_refs: Dict[ -2063 Tuple[TensorId, AxisId], -2064 Tuple[TensorDescr, AnyAxis, Union[int, ParameterizedSize]], -2065 ] = { -2066 **{ -2067 (out.id, a.id): (out, a, a.size) -2068 for a in out.axes -2069 if not isinstance(a, BatchAxis) -2070 and isinstance(a.size, (int, ParameterizedSize)) -2071 }, -2072 **input_size_refs, -2073 **output_size_refs, -2074 } -2075 for a, ax in enumerate(out.axes): -2076 cls._validate_axis( -2077 "outputs", -2078 i, -2079 out.id, -2080 a, -2081 ax, -2082 valid_independent_refs=valid_independent_refs, -2083 ) -2084 -2085 return outputs -2086 -2087 packaged_by: List[Author] = Field(default_factory=list) -2088 """The persons that have packaged and uploaded this model. -2089 Only required if those persons differ from the `authors`.""" -2090 -2091 parent: Optional[LinkedModel] = None -2092 """The model from which this model is derived, e.g. by fine-tuning the weights.""" -2093 -2094 # todo: add parent self check once we have `id` -2095 # @model_validator(mode="after") -2096 # def validate_parent_is_not_self(self) -> Self: -2097 # if self.parent is not None and self.parent == self.id: -2098 # raise ValueError("The model may not reference itself as parent model") -2099 -2100 # return self -2101 -2102 run_mode: Annotated[ -2103 Optional[RunMode], -2104 warn(None, "Run mode '{value}' has limited support across consumer softwares."), -2105 ] = None -2106 """Custom run mode for this model: for more complex prediction procedures like test time -2107 data augmentation that currently cannot be expressed in the specification. -2108 No standard run modes are defined yet.""" +2023 @staticmethod +2024 def _get_axes_with_parameterized_size( +2025 io: Union[Sequence[InputTensorDescr], Sequence[OutputTensorDescr]], +2026 ): +2027 return { +2028 f"{t.id}.{a.id}": (t, a, a.size) +2029 for t in io +2030 for a in t.axes +2031 if not isinstance(a, BatchAxis) and isinstance(a.size, ParameterizedSize) +2032 } +2033 +2034 @staticmethod +2035 def _get_axes_with_independent_size( +2036 io: Union[Sequence[InputTensorDescr], Sequence[OutputTensorDescr]], +2037 ): +2038 return { +2039 (t.id, a.id): (t, a, a.size) +2040 for t in io +2041 for a in t.axes +2042 if not isinstance(a, BatchAxis) +2043 and isinstance(a.size, (int, ParameterizedSize)) +2044 } +2045 +2046 @field_validator("outputs", mode="after") +2047 @classmethod +2048 def _validate_output_axes( +2049 cls, outputs: List[OutputTensorDescr], info: ValidationInfo +2050 ) -> List[OutputTensorDescr]: +2051 input_size_refs = cls._get_axes_with_independent_size( +2052 info.data.get("inputs", []) +2053 ) +2054 output_size_refs = cls._get_axes_with_independent_size(outputs) +2055 +2056 for i, out in enumerate(outputs): +2057 valid_independent_refs: Dict[ +2058 Tuple[TensorId, AxisId], +2059 Tuple[TensorDescr, AnyAxis, Union[int, ParameterizedSize]], +2060 ] = { +2061 **{ +2062 (out.id, a.id): (out, a, a.size) +2063 for a in out.axes +2064 if not isinstance(a, BatchAxis) +2065 and isinstance(a.size, (int, ParameterizedSize)) +2066 }, +2067 **input_size_refs, +2068 **output_size_refs, +2069 } +2070 for a, ax in enumerate(out.axes): +2071 cls._validate_axis( +2072 "outputs", +2073 i, +2074 out.id, +2075 a, +2076 ax, +2077 valid_independent_refs=valid_independent_refs, +2078 ) +2079 +2080 return outputs +2081 +2082 packaged_by: List[Author] = Field(default_factory=list) +2083 """The persons that have packaged and uploaded this model. +2084 Only required if those persons differ from the `authors`.""" +2085 +2086 parent: Optional[LinkedModel] = None +2087 """The model from which this model is derived, e.g. by fine-tuning the weights.""" +2088 +2089 # todo: add parent self check once we have `id` +2090 # @model_validator(mode="after") +2091 # def validate_parent_is_not_self(self) -> Self: +2092 # if self.parent is not None and self.parent == self.id: +2093 # raise ValueError("The model may not reference itself as parent model") +2094 +2095 # return self +2096 +2097 run_mode: Annotated[ +2098 Optional[RunMode], +2099 warn(None, "Run mode '{value}' has limited support across consumer softwares."), +2100 ] = None +2101 """Custom run mode for this model: for more complex prediction procedures like test time +2102 data augmentation that currently cannot be expressed in the specification. +2103 No standard run modes are defined yet.""" +2104 +2105 timestamp: Datetime = Datetime(datetime.now()) +2106 """Timestamp in [ISO 8601](#https://en.wikipedia.org/wiki/ISO_8601) format +2107 with a few restrictions listed [here](https://docs.python.org/3/library/datetime.html#datetime.datetime.fromisoformat). +2108 (In Python a datetime object is valid, too).""" 2109 -2110 timestamp: Datetime = Datetime(datetime.now()) -2111 """Timestamp in [ISO 8601](#https://en.wikipedia.org/wiki/ISO_8601) format -2112 with a few restrictions listed [here](https://docs.python.org/3/library/datetime.html#datetime.datetime.fromisoformat). -2113 (In Python a datetime object is valid, too).""" -2114 -2115 training_data: Union[LinkedDataset, DatasetDescr, None] = None -2116 """The dataset used to train this model""" +2110 training_data: Union[LinkedDataset, DatasetDescr, None] = None +2111 """The dataset used to train this model""" +2112 +2113 weights: WeightsDescr +2114 """The weights for this model. +2115 Weights can be given for different formats, but should otherwise be equivalent. +2116 The available weight formats determine which consumers can use this model.""" 2117 -2118 weights: WeightsDescr -2119 """The weights for this model. -2120 Weights can be given for different formats, but should otherwise be equivalent. -2121 The available weight formats determine which consumers can use this model.""" +2118 @model_validator(mode="after") +2119 def _add_default_cover(self) -> Self: +2120 if not validation_context_var.get().perform_io_checks or self.covers: +2121 return self 2122 -2123 @model_validator(mode="after") -2124 def _add_default_cover(self) -> Self: -2125 if not validation_context_var.get().perform_io_checks or self.covers: -2126 return self -2127 -2128 try: -2129 generated_covers = generate_covers( -2130 [(t, load_array(t.test_tensor.download().path)) for t in self.inputs], -2131 [(t, load_array(t.test_tensor.download().path)) for t in self.outputs], -2132 ) -2133 except Exception as e: -2134 issue_warning( -2135 "Failed to generate cover image(s): {e}", -2136 value=self.covers, -2137 msg_context=dict(e=e), -2138 ) -2139 else: -2140 self.covers.extend(generated_covers) -2141 -2142 return self +2123 try: +2124 generated_covers = generate_covers( +2125 [(t, load_array(t.test_tensor.download().path)) for t in self.inputs], +2126 [(t, load_array(t.test_tensor.download().path)) for t in self.outputs], +2127 ) +2128 except Exception as e: +2129 issue_warning( +2130 "Failed to generate cover image(s): {e}", +2131 value=self.covers, +2132 msg_context=dict(e=e), +2133 ) +2134 else: +2135 self.covers.extend(generated_covers) +2136 +2137 return self +2138 +2139 def get_input_test_arrays(self) -> List[NDArray[Any]]: +2140 data = [load_array(ipt.test_tensor.download().path) for ipt in self.inputs] +2141 assert all(isinstance(d, np.ndarray) for d in data) +2142 return data 2143 -2144 def get_input_test_arrays(self) -> List[NDArray[Any]]: -2145 data = [load_array(ipt.test_tensor.download().path) for ipt in self.inputs] +2144 def get_output_test_arrays(self) -> List[NDArray[Any]]: +2145 data = [load_array(out.test_tensor.download().path) for out in self.outputs] 2146 assert all(isinstance(d, np.ndarray) for d in data) 2147 return data 2148 -2149 def get_output_test_arrays(self) -> List[NDArray[Any]]: -2150 data = [load_array(out.test_tensor.download().path) for out in self.outputs] -2151 assert all(isinstance(d, np.ndarray) for d in data) -2152 return data -2153 -2154 def get_tensor_sizes( -2155 self, ns: Dict[Tuple[TensorId, AxisId], ParameterizedSize.N], batch_size: int -2156 ) -> _TensorSizes: -2157 all_axes = { -2158 t.id: {a.id: a for a in t.axes} for t in chain(self.inputs, self.outputs) -2159 } -2160 -2161 predetermined: Dict[Tuple[TensorId, AxisId], int] = {} -2162 data_dependent: Dict[Tuple[TensorId, AxisId], _DataDepSize] = {} -2163 for t_descr in chain(self.inputs, self.outputs): -2164 for a in t_descr.axes: -2165 if isinstance(a, BatchAxis): -2166 if (t_descr.id, a.id) in ns: -2167 raise ValueError( -2168 f"No size increment factor (n) for batch axis of tensor {t_descr.id} expected." -2169 ) -2170 s = batch_size -2171 elif isinstance(a.size, int): -2172 if (t_descr.id, a.id) in ns: -2173 raise ValueError( -2174 f"No size increment factor (n) for fixed size axis {a.id} of tensor {t_descr.id} expected." -2175 ) -2176 s = a.size -2177 elif isinstance(a.size, ParameterizedSize): -2178 if (t_descr.id, a.id) not in ns: -2179 raise ValueError( -2180 f"Size increment factor (n) not given for parametrized axis {a.id} of tensor {t_descr.id}." -2181 ) -2182 s = a.size.get_size(ns[(t_descr.id, a.id)]) -2183 elif isinstance(a.size, SizeReference): -2184 assert not isinstance(a, BatchAxis) -2185 ref_axis = all_axes[a.size.tensor_id][a.size.axis_id] -2186 assert not isinstance(ref_axis, BatchAxis) -2187 if (a.size.tensor_id, a.size.axis_id) not in ns: -2188 raise ValueError( -2189 f"No increment (n) provided for axis {a.id} of tensor {t_descr.id}. Expected reference from tensor {a.size.tensor_id} and axis {a.size.axis_id}." -2190 ) -2191 s = a.size.get_size( -2192 axis=a, ref_axis=ref_axis, n=ns[(t_descr.id, a.id)] -2193 ) -2194 elif isinstance(a.size, DataDependentSize): -2195 if (t_descr.id, a.id) in ns: -2196 raise ValueError( -2197 f"No size increment factor (n) for data dependent size axis {a.id} of tensor {t_descr.id} expected." -2198 ) -2199 data_dependent[t_descr.id, a.id] = _DataDepSize( -2200 a.size.min, a.size.max -2201 ) -2202 continue -2203 else: -2204 assert_never(a.size) -2205 -2206 predetermined[t_descr.id, a.id] = s -2207 -2208 return _TensorSizes(predetermined, data_dependent) -2209 -2210 @model_validator(mode="before") -2211 @classmethod -2212 def _convert(cls, data: Dict[str, Any]) -> Dict[str, Any]: -2213 if ( -2214 data.get("type") == "model" -2215 and isinstance(fv := data.get("format_version"), str) -2216 and (fv.startswith("0.3.") or fv.startswith("0.4.")) -2217 ): -2218 m04 = _ModelDescr_v0_4.load(data) -2219 if not isinstance(m04, InvalidDescr): -2220 return _model_conv.convert_as_dict(m04) -2221 -2222 return data -2223 -2224 -2225class _ModelConv(Converter[_ModelDescr_v0_4, ModelDescr]): -2226 def _convert( -2227 self, src: _ModelDescr_v0_4, tgt: "type[ModelDescr] | type[dict[str, Any]]" -2228 ) -> "ModelDescr | dict[str, Any]": -2229 name = "".join( -2230 c if c in string.ascii_letters + string.digits + "_- ()" else " " -2231 for c in src.name -2232 ) -2233 -2234 def conv_authors(auths: Optional[Sequence[_Author_v0_4]]): -2235 conv = ( -2236 _author_conv.convert if TYPE_CHECKING else _author_conv.convert_as_dict -2237 ) -2238 return None if auths is None else [conv(a) for a in auths] -2239 -2240 if TYPE_CHECKING: -2241 arch_file_conv = _arch_file_conv.convert -2242 arch_lib_conv = _arch_lib_conv.convert -2243 else: -2244 arch_file_conv = _arch_file_conv.convert_as_dict -2245 arch_lib_conv = _arch_lib_conv.convert_as_dict -2246 -2247 input_size_refs = { -2248 ipt.name: { -2249 a: s -2250 for a, s in zip( -2251 ipt.axes, -2252 ( -2253 ipt.shape.min -2254 if isinstance(ipt.shape, _ParameterizedInputShape_v0_4) -2255 else ipt.shape -2256 ), -2257 ) -2258 } -2259 for ipt in src.inputs -2260 if ipt.shape -2261 } -2262 output_size_refs = { -2263 **{ -2264 out.name: {a: s for a, s in zip(out.axes, out.shape)} -2265 for out in src.outputs -2266 if not isinstance(out.shape, _ImplicitOutputShape_v0_4) -2267 }, -2268 **input_size_refs, -2269 } -2270 -2271 return tgt( -2272 attachments=( -2273 [] -2274 if src.attachments is None -2275 else [FileDescr(source=f) for f in src.attachments.files] -2276 ), -2277 authors=[ -2278 _author_conv.convert_as_dict(a) for a in src.authors -2279 ], # pyright: ignore[reportArgumentType] -2280 cite=[ -2281 {"text": c.text, "doi": c.doi, "url": c.url} for c in src.cite -2282 ], # pyright: ignore[reportArgumentType] -2283 config=src.config, -2284 covers=src.covers, -2285 description=src.description, -2286 documentation=src.documentation, # pyright: ignore[reportArgumentType] -2287 format_version="0.5.0", -2288 git_repo=src.git_repo, # pyright: ignore[reportArgumentType] -2289 icon=src.icon, -2290 id=src.id, -2291 id_emoji=src.id_emoji, -2292 license=src.license, # type: ignore -2293 links=src.links, -2294 maintainers=[ -2295 _maintainer_conv.convert_as_dict(m) for m in src.maintainers -2296 ], # pyright: ignore[reportArgumentType] -2297 name=name, -2298 tags=src.tags, -2299 type=src.type, -2300 uploader=src.uploader, -2301 version=src.version, -2302 inputs=[ # pyright: ignore[reportArgumentType] -2303 _input_tensor_conv.convert_as_dict(ipt, tt, st, input_size_refs) -2304 for ipt, tt, st, in zip( -2305 src.inputs, -2306 src.test_inputs, -2307 src.sample_inputs or [None] * len(src.test_inputs), -2308 ) -2309 ], -2310 outputs=[ # pyright: ignore[reportArgumentType] -2311 _output_tensor_conv.convert_as_dict(out, tt, st, output_size_refs) -2312 for out, tt, st, in zip( -2313 src.outputs, -2314 src.test_outputs, -2315 src.sample_outputs or [None] * len(src.test_outputs), -2316 ) -2317 ], -2318 weights=(WeightsDescr if TYPE_CHECKING else dict)( -2319 keras_hdf5=(w := src.weights.keras_hdf5) -2320 and (KerasHdf5WeightsDescr if TYPE_CHECKING else dict)( -2321 authors=conv_authors(w.authors), -2322 source=w.source, -2323 tensorflow_version=w.tensorflow_version or Version("1.15"), -2324 parent=w.parent, -2325 ), -2326 onnx=(w := src.weights.onnx) -2327 and (OnnxWeightsDescr if TYPE_CHECKING else dict)( -2328 source=w.source, -2329 authors=conv_authors(w.authors), -2330 parent=w.parent, -2331 opset_version=w.opset_version or 15, -2332 ), -2333 pytorch_state_dict=(w := src.weights.pytorch_state_dict) -2334 and (PytorchStateDictWeightsDescr if TYPE_CHECKING else dict)( -2335 source=w.source, -2336 authors=conv_authors(w.authors), -2337 parent=w.parent, -2338 architecture=( -2339 arch_file_conv( -2340 w.architecture, -2341 w.architecture_sha256, -2342 w.kwargs, -2343 ) -2344 if isinstance(w.architecture, _CallableFromFile_v0_4) -2345 else arch_lib_conv(w.architecture, w.kwargs) -2346 ), -2347 pytorch_version=w.pytorch_version or Version("1.10"), -2348 dependencies=( -2349 None -2350 if w.dependencies is None -2351 else (EnvironmentFileDescr if TYPE_CHECKING else dict)( -2352 source=cast( -2353 ImportantFileSource, -2354 str(deps := w.dependencies)[ -2355 ( -2356 len("conda:") -2357 if str(deps).startswith("conda:") -2358 else 0 -2359 ) : -2360 ], -2361 ) -2362 ) -2363 ), -2364 ), -2365 tensorflow_js=(w := src.weights.tensorflow_js) -2366 and (TensorflowJsWeightsDescr if TYPE_CHECKING else dict)( -2367 source=w.source, -2368 authors=conv_authors(w.authors), -2369 parent=w.parent, -2370 tensorflow_version=w.tensorflow_version or Version("1.15"), -2371 ), -2372 tensorflow_saved_model_bundle=( -2373 w := src.weights.tensorflow_saved_model_bundle -2374 ) -2375 and (TensorflowSavedModelBundleWeightsDescr if TYPE_CHECKING else dict)( -2376 authors=conv_authors(w.authors), -2377 parent=w.parent, -2378 source=w.source, -2379 tensorflow_version=w.tensorflow_version or Version("1.15"), -2380 dependencies=( -2381 None -2382 if w.dependencies is None -2383 else (EnvironmentFileDescr if TYPE_CHECKING else dict)( -2384 source=cast( -2385 ImportantFileSource, -2386 ( -2387 str(w.dependencies)[len("conda:") :] -2388 if str(w.dependencies).startswith("conda:") -2389 else str(w.dependencies) -2390 ), -2391 ) -2392 ) -2393 ), -2394 ), -2395 torchscript=(w := src.weights.torchscript) -2396 and (TorchscriptWeightsDescr if TYPE_CHECKING else dict)( -2397 source=w.source, -2398 authors=conv_authors(w.authors), -2399 parent=w.parent, -2400 pytorch_version=w.pytorch_version or Version("1.10"), -2401 ), -2402 ), -2403 ) -2404 -2405 -2406_model_conv = _ModelConv(_ModelDescr_v0_4, ModelDescr) -2407 -2408 -2409# create better cover images for 3d data and non-image outputs -2410def generate_covers( -2411 inputs: Sequence[Tuple[InputTensorDescr, NDArray[Any]]], -2412 outputs: Sequence[Tuple[OutputTensorDescr, NDArray[Any]]], -2413) -> List[Path]: -2414 def squeeze( -2415 data: NDArray[Any], axes: Sequence[AnyAxis] -2416 ) -> Tuple[NDArray[Any], List[AnyAxis]]: -2417 """apply numpy.ndarray.squeeze while keeping track of the axis descriptions remaining""" -2418 if data.ndim != len(axes): -2419 raise ValueError( -2420 f"tensor shape {data.shape} does not match described axes" -2421 + f" {[a.id for a in axes]}" -2422 ) -2423 -2424 axes = [deepcopy(a) for a, s in zip(axes, data.shape) if s != 1] -2425 return data.squeeze(), axes -2426 -2427 def normalize( -2428 data: NDArray[Any], axis: Optional[Tuple[int, ...]], eps: float = 1e-7 -2429 ) -> NDArray[np.float32]: -2430 data = data.astype("float32") -2431 data -= data.min(axis=axis, keepdims=True) -2432 data /= data.max(axis=axis, keepdims=True) + eps -2433 return data -2434 -2435 def to_2d_image(data: NDArray[Any], axes: Sequence[AnyAxis]): -2436 original_shape = data.shape -2437 data, axes = squeeze(data, axes) -2438 -2439 # take slice fom any batch or index axis if needed -2440 # and convert the first channel axis and take a slice from any additional channel axes -2441 slices: Tuple[slice, ...] = () -2442 ndim = data.ndim -2443 ndim_need = 3 if any(isinstance(a, ChannelAxis) for a in axes) else 2 -2444 has_c_axis = False -2445 for i, a in enumerate(axes): -2446 s = data.shape[i] -2447 assert s > 1 -2448 if ( -2449 isinstance(a, (BatchAxis, IndexInputAxis, IndexOutputAxis)) -2450 and ndim > ndim_need -2451 ): -2452 data = data[slices + (slice(s // 2 - 1, s // 2),)] -2453 ndim -= 1 -2454 elif isinstance(a, ChannelAxis): -2455 if has_c_axis: -2456 # second channel axis -2457 data = data[slices + (slice(0, 1),)] -2458 ndim -= 1 -2459 else: -2460 has_c_axis = True -2461 if s == 2: -2462 # visualize two channels with cyan and magenta -2463 data = np.concatenate( -2464 [ -2465 data[slices + (slice(1, 2),)], -2466 data[slices + (slice(0, 1),)], -2467 ( -2468 data[slices + (slice(0, 1),)] -2469 + data[slices + (slice(1, 2),)] -2470 ) -2471 / 2, # TODO: take maximum instead? -2472 ], -2473 axis=i, -2474 ) -2475 elif data.shape[i] == 3: -2476 pass # visualize 3 channels as RGB -2477 else: -2478 # visualize first 3 channels as RGB -2479 data = data[slices + (slice(3),)] -2480 -2481 assert data.shape[i] == 3 -2482 -2483 slices += (slice(None),) # type: ignore -2484 -2485 data, axes = squeeze(data, axes) -2486 assert len(axes) == ndim -2487 # take slice from z axis if needed -2488 slices = () -2489 if ndim > ndim_need: -2490 for i, a in enumerate(axes): -2491 s = data.shape[i] -2492 if a.id == AxisId("z"): -2493 data = data[slices + (slice(s // 2 - 1, s // 2),)] -2494 data, axes = squeeze(data, axes) -2495 ndim -= 1 -2496 break +2149 def get_tensor_sizes( +2150 self, ns: Dict[Tuple[TensorId, AxisId], ParameterizedSize.N], batch_size: int +2151 ) -> _TensorSizes: +2152 all_axes = { +2153 t.id: {a.id: a for a in t.axes} for t in chain(self.inputs, self.outputs) +2154 } +2155 +2156 predetermined: Dict[Tuple[TensorId, AxisId], int] = {} +2157 data_dependent: Dict[Tuple[TensorId, AxisId], _DataDepSize] = {} +2158 for t_descr in chain(self.inputs, self.outputs): +2159 for a in t_descr.axes: +2160 if isinstance(a, BatchAxis): +2161 if (t_descr.id, a.id) in ns: +2162 raise ValueError( +2163 f"No size increment factor (n) for batch axis of tensor {t_descr.id} expected." +2164 ) +2165 s = batch_size +2166 elif isinstance(a.size, int): +2167 if (t_descr.id, a.id) in ns: +2168 raise ValueError( +2169 f"No size increment factor (n) for fixed size axis {a.id} of tensor {t_descr.id} expected." +2170 ) +2171 s = a.size +2172 elif isinstance(a.size, ParameterizedSize): +2173 if (t_descr.id, a.id) not in ns: +2174 raise ValueError( +2175 f"Size increment factor (n) not given for parametrized axis {a.id} of tensor {t_descr.id}." +2176 ) +2177 s = a.size.get_size(ns[(t_descr.id, a.id)]) +2178 elif isinstance(a.size, SizeReference): +2179 assert not isinstance(a, BatchAxis) +2180 ref_axis = all_axes[a.size.tensor_id][a.size.axis_id] +2181 assert not isinstance(ref_axis, BatchAxis) +2182 if (a.size.tensor_id, a.size.axis_id) not in ns: +2183 raise ValueError( +2184 f"No increment (n) provided for axis {a.id} of tensor {t_descr.id}. Expected reference from tensor {a.size.tensor_id} and axis {a.size.axis_id}." +2185 ) +2186 s = a.size.get_size( +2187 axis=a, ref_axis=ref_axis, n=ns[(t_descr.id, a.id)] +2188 ) +2189 elif isinstance(a.size, DataDependentSize): +2190 if (t_descr.id, a.id) in ns: +2191 raise ValueError( +2192 f"No size increment factor (n) for data dependent size axis {a.id} of tensor {t_descr.id} expected." +2193 ) +2194 data_dependent[t_descr.id, a.id] = _DataDepSize( +2195 a.size.min, a.size.max +2196 ) +2197 continue +2198 else: +2199 assert_never(a.size) +2200 +2201 predetermined[t_descr.id, a.id] = s +2202 +2203 return _TensorSizes(predetermined, data_dependent) +2204 +2205 @model_validator(mode="before") +2206 @classmethod +2207 def _convert(cls, data: Dict[str, Any]) -> Dict[str, Any]: +2208 if ( +2209 data.get("type") == "model" +2210 and isinstance(fv := data.get("format_version"), str) +2211 and (fv.startswith("0.3.") or fv.startswith("0.4.")) +2212 ): +2213 m04 = _ModelDescr_v0_4.load(data) +2214 if not isinstance(m04, InvalidDescr): +2215 return _model_conv.convert_as_dict(m04) +2216 +2217 return data +2218 +2219 +2220class _ModelConv(Converter[_ModelDescr_v0_4, ModelDescr]): +2221 def _convert( +2222 self, src: _ModelDescr_v0_4, tgt: "type[ModelDescr] | type[dict[str, Any]]" +2223 ) -> "ModelDescr | dict[str, Any]": +2224 name = "".join( +2225 c if c in string.ascii_letters + string.digits + "_- ()" else " " +2226 for c in src.name +2227 ) +2228 +2229 def conv_authors(auths: Optional[Sequence[_Author_v0_4]]): +2230 conv = ( +2231 _author_conv.convert if TYPE_CHECKING else _author_conv.convert_as_dict +2232 ) +2233 return None if auths is None else [conv(a) for a in auths] +2234 +2235 if TYPE_CHECKING: +2236 arch_file_conv = _arch_file_conv.convert +2237 arch_lib_conv = _arch_lib_conv.convert +2238 else: +2239 arch_file_conv = _arch_file_conv.convert_as_dict +2240 arch_lib_conv = _arch_lib_conv.convert_as_dict +2241 +2242 input_size_refs = { +2243 ipt.name: { +2244 a: s +2245 for a, s in zip( +2246 ipt.axes, +2247 ( +2248 ipt.shape.min +2249 if isinstance(ipt.shape, _ParameterizedInputShape_v0_4) +2250 else ipt.shape +2251 ), +2252 ) +2253 } +2254 for ipt in src.inputs +2255 if ipt.shape +2256 } +2257 output_size_refs = { +2258 **{ +2259 out.name: {a: s for a, s in zip(out.axes, out.shape)} +2260 for out in src.outputs +2261 if not isinstance(out.shape, _ImplicitOutputShape_v0_4) +2262 }, +2263 **input_size_refs, +2264 } +2265 +2266 return tgt( +2267 attachments=( +2268 [] +2269 if src.attachments is None +2270 else [FileDescr(source=f) for f in src.attachments.files] +2271 ), +2272 authors=[ +2273 _author_conv.convert_as_dict(a) for a in src.authors +2274 ], # pyright: ignore[reportArgumentType] +2275 cite=[ +2276 {"text": c.text, "doi": c.doi, "url": c.url} for c in src.cite +2277 ], # pyright: ignore[reportArgumentType] +2278 config=src.config, +2279 covers=src.covers, +2280 description=src.description, +2281 documentation=src.documentation, # pyright: ignore[reportArgumentType] +2282 format_version="0.5.0", +2283 git_repo=src.git_repo, # pyright: ignore[reportArgumentType] +2284 icon=src.icon, +2285 id=src.id, +2286 id_emoji=src.id_emoji, +2287 license=src.license, # type: ignore +2288 links=src.links, +2289 maintainers=[ +2290 _maintainer_conv.convert_as_dict(m) for m in src.maintainers +2291 ], # pyright: ignore[reportArgumentType] +2292 name=name, +2293 tags=src.tags, +2294 type=src.type, +2295 uploader=src.uploader, +2296 version=src.version, +2297 inputs=[ # pyright: ignore[reportArgumentType] +2298 _input_tensor_conv.convert_as_dict(ipt, tt, st, input_size_refs) +2299 for ipt, tt, st, in zip( +2300 src.inputs, +2301 src.test_inputs, +2302 src.sample_inputs or [None] * len(src.test_inputs), +2303 ) +2304 ], +2305 outputs=[ # pyright: ignore[reportArgumentType] +2306 _output_tensor_conv.convert_as_dict(out, tt, st, output_size_refs) +2307 for out, tt, st, in zip( +2308 src.outputs, +2309 src.test_outputs, +2310 src.sample_outputs or [None] * len(src.test_outputs), +2311 ) +2312 ], +2313 weights=(WeightsDescr if TYPE_CHECKING else dict)( +2314 keras_hdf5=(w := src.weights.keras_hdf5) +2315 and (KerasHdf5WeightsDescr if TYPE_CHECKING else dict)( +2316 authors=conv_authors(w.authors), +2317 source=w.source, +2318 tensorflow_version=w.tensorflow_version or Version("1.15"), +2319 parent=w.parent, +2320 ), +2321 onnx=(w := src.weights.onnx) +2322 and (OnnxWeightsDescr if TYPE_CHECKING else dict)( +2323 source=w.source, +2324 authors=conv_authors(w.authors), +2325 parent=w.parent, +2326 opset_version=w.opset_version or 15, +2327 ), +2328 pytorch_state_dict=(w := src.weights.pytorch_state_dict) +2329 and (PytorchStateDictWeightsDescr if TYPE_CHECKING else dict)( +2330 source=w.source, +2331 authors=conv_authors(w.authors), +2332 parent=w.parent, +2333 architecture=( +2334 arch_file_conv( +2335 w.architecture, +2336 w.architecture_sha256, +2337 w.kwargs, +2338 ) +2339 if isinstance(w.architecture, _CallableFromFile_v0_4) +2340 else arch_lib_conv(w.architecture, w.kwargs) +2341 ), +2342 pytorch_version=w.pytorch_version or Version("1.10"), +2343 dependencies=( +2344 None +2345 if w.dependencies is None +2346 else (EnvironmentFileDescr if TYPE_CHECKING else dict)( +2347 source=cast( +2348 ImportantFileSource, +2349 str(deps := w.dependencies)[ +2350 ( +2351 len("conda:") +2352 if str(deps).startswith("conda:") +2353 else 0 +2354 ) : +2355 ], +2356 ) +2357 ) +2358 ), +2359 ), +2360 tensorflow_js=(w := src.weights.tensorflow_js) +2361 and (TensorflowJsWeightsDescr if TYPE_CHECKING else dict)( +2362 source=w.source, +2363 authors=conv_authors(w.authors), +2364 parent=w.parent, +2365 tensorflow_version=w.tensorflow_version or Version("1.15"), +2366 ), +2367 tensorflow_saved_model_bundle=( +2368 w := src.weights.tensorflow_saved_model_bundle +2369 ) +2370 and (TensorflowSavedModelBundleWeightsDescr if TYPE_CHECKING else dict)( +2371 authors=conv_authors(w.authors), +2372 parent=w.parent, +2373 source=w.source, +2374 tensorflow_version=w.tensorflow_version or Version("1.15"), +2375 dependencies=( +2376 None +2377 if w.dependencies is None +2378 else (EnvironmentFileDescr if TYPE_CHECKING else dict)( +2379 source=cast( +2380 ImportantFileSource, +2381 ( +2382 str(w.dependencies)[len("conda:") :] +2383 if str(w.dependencies).startswith("conda:") +2384 else str(w.dependencies) +2385 ), +2386 ) +2387 ) +2388 ), +2389 ), +2390 torchscript=(w := src.weights.torchscript) +2391 and (TorchscriptWeightsDescr if TYPE_CHECKING else dict)( +2392 source=w.source, +2393 authors=conv_authors(w.authors), +2394 parent=w.parent, +2395 pytorch_version=w.pytorch_version or Version("1.10"), +2396 ), +2397 ), +2398 ) +2399 +2400 +2401_model_conv = _ModelConv(_ModelDescr_v0_4, ModelDescr) +2402 +2403 +2404# create better cover images for 3d data and non-image outputs +2405def generate_covers( +2406 inputs: Sequence[Tuple[InputTensorDescr, NDArray[Any]]], +2407 outputs: Sequence[Tuple[OutputTensorDescr, NDArray[Any]]], +2408) -> List[Path]: +2409 def squeeze( +2410 data: NDArray[Any], axes: Sequence[AnyAxis] +2411 ) -> Tuple[NDArray[Any], List[AnyAxis]]: +2412 """apply numpy.ndarray.squeeze while keeping track of the axis descriptions remaining""" +2413 if data.ndim != len(axes): +2414 raise ValueError( +2415 f"tensor shape {data.shape} does not match described axes" +2416 + f" {[a.id for a in axes]}" +2417 ) +2418 +2419 axes = [deepcopy(a) for a, s in zip(axes, data.shape) if s != 1] +2420 return data.squeeze(), axes +2421 +2422 def normalize( +2423 data: NDArray[Any], axis: Optional[Tuple[int, ...]], eps: float = 1e-7 +2424 ) -> NDArray[np.float32]: +2425 data = data.astype("float32") +2426 data -= data.min(axis=axis, keepdims=True) +2427 data /= data.max(axis=axis, keepdims=True) + eps +2428 return data +2429 +2430 def to_2d_image(data: NDArray[Any], axes: Sequence[AnyAxis]): +2431 original_shape = data.shape +2432 data, axes = squeeze(data, axes) +2433 +2434 # take slice fom any batch or index axis if needed +2435 # and convert the first channel axis and take a slice from any additional channel axes +2436 slices: Tuple[slice, ...] = () +2437 ndim = data.ndim +2438 ndim_need = 3 if any(isinstance(a, ChannelAxis) for a in axes) else 2 +2439 has_c_axis = False +2440 for i, a in enumerate(axes): +2441 s = data.shape[i] +2442 assert s > 1 +2443 if ( +2444 isinstance(a, (BatchAxis, IndexInputAxis, IndexOutputAxis)) +2445 and ndim > ndim_need +2446 ): +2447 data = data[slices + (slice(s // 2 - 1, s // 2),)] +2448 ndim -= 1 +2449 elif isinstance(a, ChannelAxis): +2450 if has_c_axis: +2451 # second channel axis +2452 data = data[slices + (slice(0, 1),)] +2453 ndim -= 1 +2454 else: +2455 has_c_axis = True +2456 if s == 2: +2457 # visualize two channels with cyan and magenta +2458 data = np.concatenate( +2459 [ +2460 data[slices + (slice(1, 2),)], +2461 data[slices + (slice(0, 1),)], +2462 ( +2463 data[slices + (slice(0, 1),)] +2464 + data[slices + (slice(1, 2),)] +2465 ) +2466 / 2, # TODO: take maximum instead? +2467 ], +2468 axis=i, +2469 ) +2470 elif data.shape[i] == 3: +2471 pass # visualize 3 channels as RGB +2472 else: +2473 # visualize first 3 channels as RGB +2474 data = data[slices + (slice(3),)] +2475 +2476 assert data.shape[i] == 3 +2477 +2478 slices += (slice(None),) # type: ignore +2479 +2480 data, axes = squeeze(data, axes) +2481 assert len(axes) == ndim +2482 # take slice from z axis if needed +2483 slices = () +2484 if ndim > ndim_need: +2485 for i, a in enumerate(axes): +2486 s = data.shape[i] +2487 if a.id == AxisId("z"): +2488 data = data[slices + (slice(s // 2 - 1, s // 2),)] +2489 data, axes = squeeze(data, axes) +2490 ndim -= 1 +2491 break +2492 +2493 slices += (slice(None),) +2494 +2495 # take slice from any space or time axis +2496 slices = () 2497 -2498 slices += (slice(None),) -2499 -2500 # take slice from any space or time axis -2501 slices = () -2502 -2503 for i, a in enumerate(axes): -2504 if ndim <= ndim_need: -2505 break -2506 -2507 s = data.shape[i] -2508 assert s > 1 -2509 if isinstance( -2510 a, (SpaceInputAxis, SpaceOutputAxis, TimeInputAxis, TimeOutputAxis) -2511 ): -2512 data = data[slices + (slice(s // 2 - 1, s // 2),)] -2513 ndim -= 1 -2514 -2515 slices += (slice(None),) # type: ignore -2516 -2517 del slices -2518 data, axes = squeeze(data, axes) -2519 assert len(axes) == ndim +2498 for i, a in enumerate(axes): +2499 if ndim <= ndim_need: +2500 break +2501 +2502 s = data.shape[i] +2503 assert s > 1 +2504 if isinstance( +2505 a, (SpaceInputAxis, SpaceOutputAxis, TimeInputAxis, TimeOutputAxis) +2506 ): +2507 data = data[slices + (slice(s // 2 - 1, s // 2),)] +2508 ndim -= 1 +2509 +2510 slices += (slice(None),) # type: ignore +2511 +2512 del slices +2513 data, axes = squeeze(data, axes) +2514 assert len(axes) == ndim +2515 +2516 if (has_c_axis and ndim != 3) or ndim != 2: +2517 raise ValueError( +2518 f"Failed to construct cover image from shape {original_shape}" +2519 ) 2520 -2521 if (has_c_axis and ndim != 3) or ndim != 2: -2522 raise ValueError( -2523 f"Failed to construct cover image from shape {original_shape}" -2524 ) -2525 -2526 if not has_c_axis: -2527 assert ndim == 2 -2528 data = np.repeat(data[:, :, None], 3, axis=2) -2529 axes.append(ChannelAxis(channel_names=list(map(Identifier, "RGB")))) -2530 ndim += 1 -2531 -2532 assert ndim == 3 -2533 -2534 # transpose axis order such that longest axis comes first... -2535 axis_order = list(np.argsort(list(data.shape))) -2536 axis_order.reverse() -2537 # ... and channel axis is last -2538 c = [i for i in range(3) if isinstance(axes[i], ChannelAxis)][0] -2539 axis_order.append(axis_order.pop(c)) -2540 axes = [axes[ao] for ao in axis_order] -2541 data = data.transpose(axis_order) -2542 -2543 # h, w = data.shape[:2] -2544 # if h / w in (1.0 or 2.0): -2545 # pass -2546 # elif h / w < 2: -2547 # TODO: enforce 2:1 or 1:1 aspect ratio for generated cover images -2548 -2549 norm_along = ( -2550 tuple(i for i, a in enumerate(axes) if a.type in ("space", "time")) or None -2551 ) -2552 # normalize the data and map to 8 bit -2553 data = normalize(data, norm_along) -2554 data = (data * 255).astype("uint8") -2555 -2556 return data -2557 -2558 def create_diagonal_split_image(im0: NDArray[Any], im1: NDArray[Any]): -2559 assert im0.dtype == im1.dtype == np.uint8 -2560 assert im0.shape == im1.shape -2561 assert im0.ndim == 3 -2562 N, M, C = im0.shape -2563 assert C == 3 -2564 out = np.ones((N, M, C), dtype="uint8") -2565 for c in range(C): -2566 outc = np.tril(im0[..., c]) -2567 mask = outc == 0 -2568 outc[mask] = np.triu(im1[..., c])[mask] -2569 out[..., c] = outc +2521 if not has_c_axis: +2522 assert ndim == 2 +2523 data = np.repeat(data[:, :, None], 3, axis=2) +2524 axes.append(ChannelAxis(channel_names=list(map(Identifier, "RGB")))) +2525 ndim += 1 +2526 +2527 assert ndim == 3 +2528 +2529 # transpose axis order such that longest axis comes first... +2530 axis_order = list(np.argsort(list(data.shape))) +2531 axis_order.reverse() +2532 # ... and channel axis is last +2533 c = [i for i in range(3) if isinstance(axes[i], ChannelAxis)][0] +2534 axis_order.append(axis_order.pop(c)) +2535 axes = [axes[ao] for ao in axis_order] +2536 data = data.transpose(axis_order) +2537 +2538 # h, w = data.shape[:2] +2539 # if h / w in (1.0 or 2.0): +2540 # pass +2541 # elif h / w < 2: +2542 # TODO: enforce 2:1 or 1:1 aspect ratio for generated cover images +2543 +2544 norm_along = ( +2545 tuple(i for i, a in enumerate(axes) if a.type in ("space", "time")) or None +2546 ) +2547 # normalize the data and map to 8 bit +2548 data = normalize(data, norm_along) +2549 data = (data * 255).astype("uint8") +2550 +2551 return data +2552 +2553 def create_diagonal_split_image(im0: NDArray[Any], im1: NDArray[Any]): +2554 assert im0.dtype == im1.dtype == np.uint8 +2555 assert im0.shape == im1.shape +2556 assert im0.ndim == 3 +2557 N, M, C = im0.shape +2558 assert C == 3 +2559 out = np.ones((N, M, C), dtype="uint8") +2560 for c in range(C): +2561 outc = np.tril(im0[..., c]) +2562 mask = outc == 0 +2563 outc[mask] = np.triu(im1[..., c])[mask] +2564 out[..., c] = outc +2565 +2566 return out +2567 +2568 ipt_descr, ipt = inputs[0] +2569 out_descr, out = outputs[0] 2570 -2571 return out -2572 -2573 ipt_descr, ipt = inputs[0] -2574 out_descr, out = outputs[0] -2575 -2576 ipt_img = to_2d_image(ipt, ipt_descr.axes) -2577 out_img = to_2d_image(out, out_descr.axes) -2578 -2579 cover_folder = Path(mkdtemp()) -2580 if ipt_img.shape == out_img.shape: -2581 covers = [cover_folder / "cover.png"] -2582 imageio.imwrite(covers[0], create_diagonal_split_image(ipt_img, out_img)) -2583 else: -2584 covers = [cover_folder / "input.png", cover_folder / "output.png"] -2585 imageio.imwrite(covers[0], ipt_img) -2586 imageio.imwrite(covers[1], out_img) -2587 -2588 return covers +2571 ipt_img = to_2d_image(ipt, ipt_descr.axes) +2572 out_img = to_2d_image(out, out_descr.axes) +2573 +2574 cover_folder = Path(mkdtemp()) +2575 if ipt_img.shape == out_img.shape: +2576 covers = [cover_folder / "cover.png"] +2577 imageio.imwrite(covers[0], create_diagonal_split_image(ipt_img, out_img)) +2578 else: +2579 covers = [cover_folder / "input.png", cover_folder / "output.png"] +2580 imageio.imwrite(covers[0], ipt_img) +2581 imageio.imwrite(covers[1], out_img) +2582 +2583 return covers

@@ -5164,7 +5159,7 @@
Inherited Members
- id: Annotated[AxisId, Predicate(func=<function <lambda> at 0x7f469c24a200>)] + id: Annotated[AxisId, Predicate(func=<function <lambda> at 0x7f45333da200>)]
@@ -5357,7 +5352,7 @@
Inherited Members
- id: Annotated[AxisId, Predicate(func=<function <lambda> at 0x7f469e0377e0>)] + id: Annotated[AxisId, Predicate(func=<function <lambda> at 0x7f453532b7e0>)]
@@ -5560,7 +5555,7 @@
Inherited Members
- id: Annotated[AxisId, Predicate(func=<function <lambda> at 0x7f469e0377e0>)] + id: Annotated[AxisId, Predicate(func=<function <lambda> at 0x7f453532b7e0>)]
@@ -5990,7 +5985,7 @@
Inherited Members
- id: Annotated[AxisId, Predicate(func=<function <lambda> at 0x7f469e0377e0>)] + id: Annotated[AxisId, Predicate(func=<function <lambda> at 0x7f453532b7e0>)]
@@ -6260,7 +6255,7 @@
Inherited Members
- id: Annotated[AxisId, Predicate(func=<function <lambda> at 0x7f469e0377e0>), FieldInfo(annotation=NoneType, required=True, examples=['x', 'y', 'z'])] + id: Annotated[AxisId, Predicate(func=<function <lambda> at 0x7f453532b7e0>), FieldInfo(annotation=NoneType, required=True, examples=['x', 'y', 'z'])]
@@ -7883,7 +7878,7 @@
Inherited Members
- axis: Annotated[Optional[Annotated[AxisId, Predicate(func=<function <lambda> at 0x7f469e0377e0>)]], FieldInfo(annotation=NoneType, required=True, examples=['channel'])] + axis: Annotated[Optional[Annotated[AxisId, Predicate(func=<function <lambda> at 0x7f453532b7e0>)]], FieldInfo(annotation=NoneType, required=True, examples=['channel'])]
@@ -8389,7 +8384,7 @@
Inherited Members
- axis: Annotated[Optional[Annotated[AxisId, Predicate(func=<function <lambda> at 0x7f469e0377e0>)]], FieldInfo(annotation=NoneType, required=True, examples=['channel', 'index'])] + axis: Annotated[Optional[Annotated[AxisId, Predicate(func=<function <lambda> at 0x7f453532b7e0>)]], FieldInfo(annotation=NoneType, required=True, examples=['channel', 'index'])]
@@ -9615,158 +9610,153 @@
Inherited Members
943 @field_validator("axes", mode="after", check_fields=False) 944 @classmethod 945 def _validate_axes(cls, axes: Sequence[AnyAxis]) -> Sequence[AnyAxis]: - 946 seen_types: Set[str] = set() - 947 duplicate_axes_types: Set[str] = set() - 948 for a in axes: - 949 if a.type in ("time", "space"): - 950 continue # duplicates allowed + 946 batch_axes = [a for a in axes if a.type == "batch"] + 947 if len(batch_axes) > 1: + 948 raise ValueError( + 949 f"Only one batch axis (per tensor) allowed, but got {batch_axes}" + 950 ) 951 - 952 (duplicate_axes_types if a.type in seen_types else seen_types).add(a.type) - 953 - 954 if duplicate_axes_types: - 955 raise ValueError(f"Duplicate axis types: {duplicate_axes_types}") + 952 seen_ids: Set[AxisId] = set() + 953 duplicate_axes_ids: Set[AxisId] = set() + 954 for a in axes: + 955 (duplicate_axes_ids if a.id in seen_ids else seen_ids).add(a.id) 956 - 957 seen_ids: Set[AxisId] = set() - 958 duplicate_axes_ids: Set[AxisId] = set() - 959 for a in axes: - 960 (duplicate_axes_ids if a.id in seen_ids else seen_ids).add(a.id) + 957 if duplicate_axes_ids: + 958 raise ValueError(f"Duplicate axis ids: {duplicate_axes_ids}") + 959 + 960 return axes 961 - 962 if duplicate_axes_ids: - 963 raise ValueError(f"Duplicate axis ids: {duplicate_axes_ids}") - 964 - 965 return axes - 966 - 967 test_tensor: FileDescr - 968 """An example tensor to use for testing. - 969 Using the model with the test input tensors is expected to yield the test output tensors. - 970 Each test tensor has be a an ndarray in the - 971 [numpy.lib file format](https://numpy.org/doc/stable/reference/generated/numpy.lib.format.html#module-numpy.lib.format). - 972 The file extension must be '.npy'.""" - 973 - 974 sample_tensor: Optional[FileDescr] = None - 975 """A sample tensor to illustrate a possible input/output for the model, - 976 The sample image primarily serves to inform a human user about an example use case - 977 and is typically stored as .hdf5, .png or .tiff. - 978 It has to be readable by the [imageio library](https://imageio.readthedocs.io/en/stable/formats/index.html#supported-formats) - 979 (numpy's `.npy` format is not supported). - 980 The image dimensionality has to match the number of axes specified in this tensor description. - 981 """ - 982 - 983 @model_validator(mode="after") - 984 def _validate_sample_tensor(self) -> Self: - 985 if ( - 986 self.sample_tensor is None - 987 or not validation_context_var.get().perform_io_checks - 988 ): - 989 return self - 990 - 991 down = download(self.sample_tensor.source, sha256=self.sample_tensor.sha256) - 992 - 993 local_source = down.path - 994 tensor: NDArray[Any] = imread( - 995 local_source, extension=PurePosixPath(down.original_file_name).suffix - 996 ) - 997 n_dims = len(tensor.squeeze().shape) - 998 n_dims_min = n_dims_max = len(self.axes) - 999 -1000 for a in self.axes: -1001 if isinstance(a, BatchAxis): -1002 n_dims_min -= 1 -1003 elif isinstance(a.size, int): -1004 if a.size == 1: -1005 n_dims_min -= 1 -1006 elif isinstance(a.size, (ParameterizedSize, DataDependentSize)): -1007 if a.size.min == 1: -1008 n_dims_min -= 1 -1009 elif isinstance(a.size, SizeReference): -1010 if a.size.offset < 2: -1011 # size reference may result in singleton axis -1012 n_dims_min -= 1 -1013 else: -1014 assert_never(a.size) -1015 -1016 n_dims_min = max(0, n_dims_min) -1017 if n_dims < n_dims_min or n_dims > n_dims_max: -1018 raise ValueError( -1019 f"Expected sample tensor to have {n_dims_min} to" -1020 + f" {n_dims_max} dimensions, but found {n_dims} (shape: {tensor.shape})." -1021 ) -1022 -1023 return self -1024 -1025 data: Union[TensorDataDescr, NotEmpty[Sequence[TensorDataDescr]]] = ( -1026 IntervalOrRatioDataDescr() -1027 ) -1028 """Description of the tensor's data values, optionally per channel. -1029 If specified per channel, the data `type` needs to match across channels.""" -1030 -1031 @property -1032 def dtype( -1033 self, -1034 ) -> Literal[ -1035 "float32", -1036 "float64", -1037 "uint8", -1038 "int8", -1039 "uint16", -1040 "int16", -1041 "uint32", -1042 "int32", -1043 "uint64", -1044 "int64", -1045 "bool", -1046 ]: -1047 """dtype as specified under `data.type` or `data[i].type`""" -1048 if isinstance(self.data, collections.abc.Sequence): -1049 return self.data[0].type -1050 else: -1051 return self.data.type -1052 -1053 @field_validator("data", mode="after") -1054 @classmethod -1055 def _check_data_type_across_channels( -1056 cls, value: Union[TensorDataDescr, NotEmpty[Sequence[TensorDataDescr]]] -1057 ) -> Union[TensorDataDescr, NotEmpty[Sequence[TensorDataDescr]]]: -1058 if not isinstance(value, list): -1059 return value -1060 -1061 dtypes = {t.type for t in value} -1062 if len(dtypes) > 1: -1063 raise ValueError( -1064 "Tensor data descriptions per channel need to agree in their data" -1065 + f" `type`, but found {dtypes}." -1066 ) -1067 -1068 return value + 962 test_tensor: FileDescr + 963 """An example tensor to use for testing. + 964 Using the model with the test input tensors is expected to yield the test output tensors. + 965 Each test tensor has be a an ndarray in the + 966 [numpy.lib file format](https://numpy.org/doc/stable/reference/generated/numpy.lib.format.html#module-numpy.lib.format). + 967 The file extension must be '.npy'.""" + 968 + 969 sample_tensor: Optional[FileDescr] = None + 970 """A sample tensor to illustrate a possible input/output for the model, + 971 The sample image primarily serves to inform a human user about an example use case + 972 and is typically stored as .hdf5, .png or .tiff. + 973 It has to be readable by the [imageio library](https://imageio.readthedocs.io/en/stable/formats/index.html#supported-formats) + 974 (numpy's `.npy` format is not supported). + 975 The image dimensionality has to match the number of axes specified in this tensor description. + 976 """ + 977 + 978 @model_validator(mode="after") + 979 def _validate_sample_tensor(self) -> Self: + 980 if ( + 981 self.sample_tensor is None + 982 or not validation_context_var.get().perform_io_checks + 983 ): + 984 return self + 985 + 986 down = download(self.sample_tensor.source, sha256=self.sample_tensor.sha256) + 987 + 988 local_source = down.path + 989 tensor: NDArray[Any] = imread( + 990 local_source, extension=PurePosixPath(down.original_file_name).suffix + 991 ) + 992 n_dims = len(tensor.squeeze().shape) + 993 n_dims_min = n_dims_max = len(self.axes) + 994 + 995 for a in self.axes: + 996 if isinstance(a, BatchAxis): + 997 n_dims_min -= 1 + 998 elif isinstance(a.size, int): + 999 if a.size == 1: +1000 n_dims_min -= 1 +1001 elif isinstance(a.size, (ParameterizedSize, DataDependentSize)): +1002 if a.size.min == 1: +1003 n_dims_min -= 1 +1004 elif isinstance(a.size, SizeReference): +1005 if a.size.offset < 2: +1006 # size reference may result in singleton axis +1007 n_dims_min -= 1 +1008 else: +1009 assert_never(a.size) +1010 +1011 n_dims_min = max(0, n_dims_min) +1012 if n_dims < n_dims_min or n_dims > n_dims_max: +1013 raise ValueError( +1014 f"Expected sample tensor to have {n_dims_min} to" +1015 + f" {n_dims_max} dimensions, but found {n_dims} (shape: {tensor.shape})." +1016 ) +1017 +1018 return self +1019 +1020 data: Union[TensorDataDescr, NotEmpty[Sequence[TensorDataDescr]]] = ( +1021 IntervalOrRatioDataDescr() +1022 ) +1023 """Description of the tensor's data values, optionally per channel. +1024 If specified per channel, the data `type` needs to match across channels.""" +1025 +1026 @property +1027 def dtype( +1028 self, +1029 ) -> Literal[ +1030 "float32", +1031 "float64", +1032 "uint8", +1033 "int8", +1034 "uint16", +1035 "int16", +1036 "uint32", +1037 "int32", +1038 "uint64", +1039 "int64", +1040 "bool", +1041 ]: +1042 """dtype as specified under `data.type` or `data[i].type`""" +1043 if isinstance(self.data, collections.abc.Sequence): +1044 return self.data[0].type +1045 else: +1046 return self.data.type +1047 +1048 @field_validator("data", mode="after") +1049 @classmethod +1050 def _check_data_type_across_channels( +1051 cls, value: Union[TensorDataDescr, NotEmpty[Sequence[TensorDataDescr]]] +1052 ) -> Union[TensorDataDescr, NotEmpty[Sequence[TensorDataDescr]]]: +1053 if not isinstance(value, list): +1054 return value +1055 +1056 dtypes = {t.type for t in value} +1057 if len(dtypes) > 1: +1058 raise ValueError( +1059 "Tensor data descriptions per channel need to agree in their data" +1060 + f" `type`, but found {dtypes}." +1061 ) +1062 +1063 return value +1064 +1065 @model_validator(mode="after") +1066 def _check_data_matches_channelaxis(self) -> Self: +1067 if not isinstance(self.data, (list, tuple)): +1068 return self 1069 -1070 @model_validator(mode="after") -1071 def _check_data_matches_channelaxis(self) -> Self: -1072 if not isinstance(self.data, (list, tuple)): -1073 return self -1074 -1075 for a in self.axes: -1076 if isinstance(a, ChannelAxis): -1077 size = a.size -1078 assert isinstance(size, int) -1079 break -1080 else: -1081 return self -1082 -1083 if len(self.data) != size: -1084 raise ValueError( -1085 f"Got tensor data descriptions for {len(self.data)} channels, but" -1086 + f" '{a.id}' axis has size {size}." -1087 ) -1088 -1089 return self -1090 -1091 def get_axis_sizes_for_array(self, array: NDArray[Any]) -> Dict[AxisId, int]: -1092 if len(array.shape) != len(self.axes): -1093 raise ValueError( -1094 f"Dimension mismatch: array shape {array.shape} (#{len(array.shape)})" -1095 + f" incompatible with {len(self.axes)} axes." -1096 ) -1097 return {a.id: array.shape[i] for i, a in enumerate(self.axes)} +1070 for a in self.axes: +1071 if isinstance(a, ChannelAxis): +1072 size = a.size +1073 assert isinstance(size, int) +1074 break +1075 else: +1076 return self +1077 +1078 if len(self.data) != size: +1079 raise ValueError( +1080 f"Got tensor data descriptions for {len(self.data)} channels, but" +1081 + f" '{a.id}' axis has size {size}." +1082 ) +1083 +1084 return self +1085 +1086 def get_axis_sizes_for_array(self, array: NDArray[Any]) -> Dict[AxisId, int]: +1087 if len(array.shape) != len(self.axes): +1088 raise ValueError( +1089 f"Dimension mismatch: array shape {array.shape} (#{len(array.shape)})" +1090 + f" incompatible with {len(self.axes)} axes." +1091 ) +1092 return {a.id: array.shape[i] for i, a in enumerate(self.axes)}
@@ -9889,27 +9879,27 @@
Inherited Members
-
1031    @property
-1032    def dtype(
-1033        self,
-1034    ) -> Literal[
-1035        "float32",
-1036        "float64",
-1037        "uint8",
-1038        "int8",
-1039        "uint16",
-1040        "int16",
-1041        "uint32",
-1042        "int32",
-1043        "uint64",
-1044        "int64",
-1045        "bool",
-1046    ]:
-1047        """dtype as specified under `data.type` or `data[i].type`"""
-1048        if isinstance(self.data, collections.abc.Sequence):
-1049            return self.data[0].type
-1050        else:
-1051            return self.data.type
+            
1026    @property
+1027    def dtype(
+1028        self,
+1029    ) -> Literal[
+1030        "float32",
+1031        "float64",
+1032        "uint8",
+1033        "int8",
+1034        "uint16",
+1035        "int16",
+1036        "uint32",
+1037        "int32",
+1038        "uint64",
+1039        "int64",
+1040        "bool",
+1041    ]:
+1042        """dtype as specified under `data.type` or `data[i].type`"""
+1043        if isinstance(self.data, collections.abc.Sequence):
+1044            return self.data[0].type
+1045        else:
+1046            return self.data.type
 
@@ -9929,13 +9919,13 @@
Inherited Members
-
1091    def get_axis_sizes_for_array(self, array: NDArray[Any]) -> Dict[AxisId, int]:
-1092        if len(array.shape) != len(self.axes):
-1093            raise ValueError(
-1094                f"Dimension mismatch: array shape {array.shape} (#{len(array.shape)})"
-1095                + f" incompatible with {len(self.axes)} axes."
-1096            )
-1097        return {a.id: array.shape[i] for i, a in enumerate(self.axes)}
+            
1086    def get_axis_sizes_for_array(self, array: NDArray[Any]) -> Dict[AxisId, int]:
+1087        if len(array.shape) != len(self.axes):
+1088            raise ValueError(
+1089                f"Dimension mismatch: array shape {array.shape} (#{len(array.shape)})"
+1090                + f" incompatible with {len(self.axes)} axes."
+1091            )
+1092        return {a.id: array.shape[i] for i, a in enumerate(self.axes)}
 
@@ -9994,31 +9984,31 @@
Inherited Members
-
1100class InputTensorDescr(TensorDescrBase[InputAxis]):
-1101    id: TensorId = TensorId("input")
-1102    """Input tensor id.
-1103    No duplicates are allowed across all inputs and outputs."""
-1104
-1105    optional: bool = False
-1106    """indicates that this tensor may be `None`"""
-1107
-1108    preprocessing: List[PreprocessingDescr] = Field(default_factory=list)
-1109    """Description of how this input should be preprocessed."""
-1110
-1111    @model_validator(mode="after")
-1112    def _validate_preprocessing_kwargs(self) -> Self:
-1113        axes_ids = [a.id for a in self.axes]
-1114        for p in self.preprocessing:
-1115            kwargs_axes: Union[Any, Sequence[Any]] = p.kwargs.get("axes", ())
-1116            if not isinstance(kwargs_axes, collections.abc.Sequence):
-1117                raise ValueError(
-1118                    f"Expeted `axes` to be a sequence, but got {type(kwargs_axes)}"
-1119                )
-1120
-1121            if any(a not in axes_ids for a in kwargs_axes):
-1122                raise ValueError("`kwargs.axes` needs to be subset of axes ids")
-1123
-1124        return self
+            
1095class InputTensorDescr(TensorDescrBase[InputAxis]):
+1096    id: TensorId = TensorId("input")
+1097    """Input tensor id.
+1098    No duplicates are allowed across all inputs and outputs."""
+1099
+1100    optional: bool = False
+1101    """indicates that this tensor may be `None`"""
+1102
+1103    preprocessing: List[PreprocessingDescr] = Field(default_factory=list)
+1104    """Description of how this input should be preprocessed."""
+1105
+1106    @model_validator(mode="after")
+1107    def _validate_preprocessing_kwargs(self) -> Self:
+1108        axes_ids = [a.id for a in self.axes]
+1109        for p in self.preprocessing:
+1110            kwargs_axes: Union[Any, Sequence[Any]] = p.kwargs.get("axes", ())
+1111            if not isinstance(kwargs_axes, collections.abc.Sequence):
+1112                raise ValueError(
+1113                    f"Expeted `axes` to be a sequence, but got {type(kwargs_axes)}"
+1114                )
+1115
+1116            if any(a not in axes_ids for a in kwargs_axes):
+1117                raise ValueError("`kwargs.axes` needs to be subset of axes ids")
+1118
+1119        return self
 
@@ -10129,102 +10119,102 @@
Inherited Members
-
1127def convert_axes(
-1128    axes: str,
-1129    *,
-1130    shape: Union[
-1131        Sequence[int], _ParameterizedInputShape_v0_4, _ImplicitOutputShape_v0_4
-1132    ],
-1133    tensor_type: Literal["input", "output"],
-1134    halo: Optional[Sequence[int]],
-1135    size_refs: Mapping[_TensorName_v0_4, Mapping[str, int]],
-1136):
-1137    ret: List[AnyAxis] = []
-1138    for i, a in enumerate(axes):
-1139        axis_type = _AXIS_TYPE_MAP.get(a, a)
-1140        if axis_type == "batch":
-1141            ret.append(BatchAxis())
-1142            continue
-1143
-1144        scale = 1.0
-1145        if isinstance(shape, _ParameterizedInputShape_v0_4):
-1146            if shape.step[i] == 0:
-1147                size = shape.min[i]
-1148            else:
-1149                size = ParameterizedSize(min=shape.min[i], step=shape.step[i])
-1150        elif isinstance(shape, _ImplicitOutputShape_v0_4):
-1151            ref_t = str(shape.reference_tensor)
-1152            if ref_t.count(".") == 1:
-1153                t_id, orig_a_id = ref_t.split(".")
-1154            else:
-1155                t_id = ref_t
-1156                orig_a_id = a
-1157
-1158            a_id = _AXIS_ID_MAP.get(orig_a_id, a)
-1159            if not (orig_scale := shape.scale[i]):
-1160                # old way to insert a new axis dimension
-1161                size = int(2 * shape.offset[i])
-1162            else:
-1163                scale = 1 / orig_scale
-1164                if axis_type in ("channel", "index"):
-1165                    # these axes no longer have a scale
-1166                    offset_from_scale = orig_scale * size_refs.get(
-1167                        _TensorName_v0_4(t_id), {}
-1168                    ).get(orig_a_id, 0)
-1169                else:
-1170                    offset_from_scale = 0
-1171                size = SizeReference(
-1172                    tensor_id=TensorId(t_id),
-1173                    axis_id=AxisId(a_id),
-1174                    offset=int(offset_from_scale + 2 * shape.offset[i]),
-1175                )
-1176        elif isinstance(shape, collections.abc.Sequence):
-1177            size: Any = shape[i]
-1178            assert isinstance(size, int)
-1179        else:
-1180            assert_never(shape)
-1181
-1182        if axis_type == "time":
-1183            if tensor_type == "input":
-1184                ret.append(TimeInputAxis(size=size, scale=scale))
-1185            else:
-1186                ret.append(
-1187                    TimeOutputAxis(
-1188                        size=size, scale=scale, halo=0 if halo is None else halo[i]
-1189                    )
-1190                )
-1191        elif axis_type == "index":
-1192            if tensor_type == "input":
-1193                ret.append(IndexInputAxis(size=size))
-1194            else:
-1195                ret.append(IndexOutputAxis(size=size))
-1196        elif axis_type == "channel":
-1197            assert not isinstance(size, ParameterizedSize)
-1198            if isinstance(size, SizeReference):
-1199                warnings.warn(
-1200                    "Conversion of channel size from an implicit output shape may by"
-1201                    + " wrong"
-1202                )
-1203                ret.append(
-1204                    ChannelAxis(
-1205                        channel_names=[
-1206                            Identifier(f"channel{i}") for i in range(size.offset)
-1207                        ]
-1208                    )
-1209                )
-1210            else:
-1211                ret.append(
-1212                    ChannelAxis(
-1213                        channel_names=[Identifier(f"channel{i}") for i in range(size)]
-1214                    )
-1215                )
-1216        elif axis_type == "space":
-1217            if tensor_type == "input":
-1218                ret.append(SpaceInputAxis(id=AxisId(a), size=size, scale=scale))
-1219            else:
-1220                ret.append(SpaceOutputAxis(id=AxisId(a), size=size, scale=scale))
-1221
-1222    return ret
+            
1122def convert_axes(
+1123    axes: str,
+1124    *,
+1125    shape: Union[
+1126        Sequence[int], _ParameterizedInputShape_v0_4, _ImplicitOutputShape_v0_4
+1127    ],
+1128    tensor_type: Literal["input", "output"],
+1129    halo: Optional[Sequence[int]],
+1130    size_refs: Mapping[_TensorName_v0_4, Mapping[str, int]],
+1131):
+1132    ret: List[AnyAxis] = []
+1133    for i, a in enumerate(axes):
+1134        axis_type = _AXIS_TYPE_MAP.get(a, a)
+1135        if axis_type == "batch":
+1136            ret.append(BatchAxis())
+1137            continue
+1138
+1139        scale = 1.0
+1140        if isinstance(shape, _ParameterizedInputShape_v0_4):
+1141            if shape.step[i] == 0:
+1142                size = shape.min[i]
+1143            else:
+1144                size = ParameterizedSize(min=shape.min[i], step=shape.step[i])
+1145        elif isinstance(shape, _ImplicitOutputShape_v0_4):
+1146            ref_t = str(shape.reference_tensor)
+1147            if ref_t.count(".") == 1:
+1148                t_id, orig_a_id = ref_t.split(".")
+1149            else:
+1150                t_id = ref_t
+1151                orig_a_id = a
+1152
+1153            a_id = _AXIS_ID_MAP.get(orig_a_id, a)
+1154            if not (orig_scale := shape.scale[i]):
+1155                # old way to insert a new axis dimension
+1156                size = int(2 * shape.offset[i])
+1157            else:
+1158                scale = 1 / orig_scale
+1159                if axis_type in ("channel", "index"):
+1160                    # these axes no longer have a scale
+1161                    offset_from_scale = orig_scale * size_refs.get(
+1162                        _TensorName_v0_4(t_id), {}
+1163                    ).get(orig_a_id, 0)
+1164                else:
+1165                    offset_from_scale = 0
+1166                size = SizeReference(
+1167                    tensor_id=TensorId(t_id),
+1168                    axis_id=AxisId(a_id),
+1169                    offset=int(offset_from_scale + 2 * shape.offset[i]),
+1170                )
+1171        elif isinstance(shape, collections.abc.Sequence):
+1172            size: Any = shape[i]
+1173            assert isinstance(size, int)
+1174        else:
+1175            assert_never(shape)
+1176
+1177        if axis_type == "time":
+1178            if tensor_type == "input":
+1179                ret.append(TimeInputAxis(size=size, scale=scale))
+1180            else:
+1181                ret.append(
+1182                    TimeOutputAxis(
+1183                        size=size, scale=scale, halo=0 if halo is None else halo[i]
+1184                    )
+1185                )
+1186        elif axis_type == "index":
+1187            if tensor_type == "input":
+1188                ret.append(IndexInputAxis(size=size))
+1189            else:
+1190                ret.append(IndexOutputAxis(size=size))
+1191        elif axis_type == "channel":
+1192            assert not isinstance(size, ParameterizedSize)
+1193            if isinstance(size, SizeReference):
+1194                warnings.warn(
+1195                    "Conversion of channel size from an implicit output shape may by"
+1196                    + " wrong"
+1197                )
+1198                ret.append(
+1199                    ChannelAxis(
+1200                        channel_names=[
+1201                            Identifier(f"channel{i}") for i in range(size.offset)
+1202                        ]
+1203                    )
+1204                )
+1205            else:
+1206                ret.append(
+1207                    ChannelAxis(
+1208                        channel_names=[Identifier(f"channel{i}") for i in range(size)]
+1209                    )
+1210                )
+1211        elif axis_type == "space":
+1212            if tensor_type == "input":
+1213                ret.append(SpaceInputAxis(id=AxisId(a), size=size, scale=scale))
+1214            else:
+1215                ret.append(SpaceOutputAxis(id=AxisId(a), size=size, scale=scale))
+1216
+1217    return ret
 
@@ -10242,28 +10232,28 @@
Inherited Members
-
1382class OutputTensorDescr(TensorDescrBase[OutputAxis]):
-1383    id: TensorId = TensorId("output")
-1384    """Output tensor id.
-1385    No duplicates are allowed across all inputs and outputs."""
-1386
-1387    postprocessing: List[PostprocessingDescr] = Field(default_factory=list)
-1388    """Description of how this output should be postprocessed."""
-1389
-1390    @model_validator(mode="after")
-1391    def _validate_postprocessing_kwargs(self) -> Self:
-1392        axes_ids = [a.id for a in self.axes]
-1393        for p in self.postprocessing:
-1394            kwargs_axes: Union[Any, Sequence[Any]] = p.kwargs.get("axes", ())
-1395            if not isinstance(kwargs_axes, collections.abc.Sequence):
-1396                raise ValueError(
-1397                    f"expected `axes` sequence, but got {type(kwargs_axes)}"
-1398                )
-1399
-1400            if any(a not in axes_ids for a in kwargs_axes):
-1401                raise ValueError("`kwargs.axes` needs to be subset of axes ids")
-1402
-1403        return self
+            
1377class OutputTensorDescr(TensorDescrBase[OutputAxis]):
+1378    id: TensorId = TensorId("output")
+1379    """Output tensor id.
+1380    No duplicates are allowed across all inputs and outputs."""
+1381
+1382    postprocessing: List[PostprocessingDescr] = Field(default_factory=list)
+1383    """Description of how this output should be postprocessed."""
+1384
+1385    @model_validator(mode="after")
+1386    def _validate_postprocessing_kwargs(self) -> Self:
+1387        axes_ids = [a.id for a in self.axes]
+1388        for p in self.postprocessing:
+1389            kwargs_axes: Union[Any, Sequence[Any]] = p.kwargs.get("axes", ())
+1390            if not isinstance(kwargs_axes, collections.abc.Sequence):
+1391                raise ValueError(
+1392                    f"expected `axes` sequence, but got {type(kwargs_axes)}"
+1393                )
+1394
+1395            if any(a not in axes_ids for a in kwargs_axes):
+1396                raise ValueError("`kwargs.axes` needs to be subset of axes ids")
+1397
+1398        return self
 
@@ -10374,81 +10364,81 @@
Inherited Members
-
1453def validate_tensors(
-1454    tensors: Mapping[TensorId, Tuple[TensorDescr, NDArray[Any]]],
-1455    tensor_origin: str,  # for more precise error messages, e.g. 'test_tensor'
-1456):
-1457    all_tensor_axes: Dict[TensorId, Dict[AxisId, Tuple[AnyAxis, int]]] = {}
-1458
-1459    def e_msg(d: TensorDescr):
-1460        return f"{'inputs' if isinstance(d, InputTensorDescr) else 'outputs'}[{d.id}]"
-1461
-1462    for descr, array in tensors.values():
-1463        try:
-1464            axis_sizes = descr.get_axis_sizes_for_array(array)
-1465        except ValueError as e:
-1466            raise ValueError(f"{e_msg(descr)} {e}")
-1467        else:
-1468            all_tensor_axes[descr.id] = {
-1469                a.id: (a, axis_sizes[a.id]) for a in descr.axes
-1470            }
-1471
-1472    for descr, array in tensors.values():
-1473        if array.dtype.name != descr.dtype:
-1474            raise ValueError(
-1475                f"{e_msg(descr)}.{tensor_origin}.dtype '{array.dtype.name}' does not"
-1476                + f" match described dtype '{descr.dtype}'"
-1477            )
+            
1448def validate_tensors(
+1449    tensors: Mapping[TensorId, Tuple[TensorDescr, NDArray[Any]]],
+1450    tensor_origin: str,  # for more precise error messages, e.g. 'test_tensor'
+1451):
+1452    all_tensor_axes: Dict[TensorId, Dict[AxisId, Tuple[AnyAxis, int]]] = {}
+1453
+1454    def e_msg(d: TensorDescr):
+1455        return f"{'inputs' if isinstance(d, InputTensorDescr) else 'outputs'}[{d.id}]"
+1456
+1457    for descr, array in tensors.values():
+1458        try:
+1459            axis_sizes = descr.get_axis_sizes_for_array(array)
+1460        except ValueError as e:
+1461            raise ValueError(f"{e_msg(descr)} {e}")
+1462        else:
+1463            all_tensor_axes[descr.id] = {
+1464                a.id: (a, axis_sizes[a.id]) for a in descr.axes
+1465            }
+1466
+1467    for descr, array in tensors.values():
+1468        if array.dtype.name != descr.dtype:
+1469            raise ValueError(
+1470                f"{e_msg(descr)}.{tensor_origin}.dtype '{array.dtype.name}' does not"
+1471                + f" match described dtype '{descr.dtype}'"
+1472            )
+1473
+1474        for a in descr.axes:
+1475            actual_size = all_tensor_axes[descr.id][a.id][1]
+1476            if a.size is None:
+1477                continue
 1478
-1479        for a in descr.axes:
-1480            actual_size = all_tensor_axes[descr.id][a.id][1]
-1481            if a.size is None:
-1482                continue
-1483
-1484            if isinstance(a.size, int):
-1485                if actual_size != a.size:
-1486                    raise ValueError(
-1487                        f"{e_msg(descr)}.{tensor_origin}: axis '{a.id}' "
-1488                        + f"has incompatible size {actual_size}, expected {a.size}"
-1489                    )
-1490            elif isinstance(a.size, ParameterizedSize):
-1491                _ = a.size.validate_size(actual_size)
-1492            elif isinstance(a.size, DataDependentSize):
-1493                _ = a.size.validate_size(actual_size)
-1494            elif isinstance(a.size, SizeReference):
-1495                ref_tensor_axes = all_tensor_axes.get(a.size.tensor_id)
-1496                if ref_tensor_axes is None:
-1497                    raise ValueError(
-1498                        f"{e_msg(descr)}.axes[{a.id}].size.tensor_id: Unknown tensor"
-1499                        + f" reference '{a.size.tensor_id}'"
-1500                    )
-1501
-1502                ref_axis, ref_size = ref_tensor_axes.get(a.size.axis_id, (None, None))
-1503                if ref_axis is None or ref_size is None:
-1504                    raise ValueError(
-1505                        f"{e_msg(descr)}.axes[{a.id}].size.axis_id: Unknown tensor axis"
-1506                        + f" reference '{a.size.tensor_id}.{a.size.axis_id}"
-1507                    )
-1508
-1509                if a.unit != ref_axis.unit:
-1510                    raise ValueError(
-1511                        f"{e_msg(descr)}.axes[{a.id}].size: `SizeReference` requires"
-1512                        + " axis and reference axis to have the same `unit`, but"
-1513                        + f" {a.unit}!={ref_axis.unit}"
+1479            if isinstance(a.size, int):
+1480                if actual_size != a.size:
+1481                    raise ValueError(
+1482                        f"{e_msg(descr)}.{tensor_origin}: axis '{a.id}' "
+1483                        + f"has incompatible size {actual_size}, expected {a.size}"
+1484                    )
+1485            elif isinstance(a.size, ParameterizedSize):
+1486                _ = a.size.validate_size(actual_size)
+1487            elif isinstance(a.size, DataDependentSize):
+1488                _ = a.size.validate_size(actual_size)
+1489            elif isinstance(a.size, SizeReference):
+1490                ref_tensor_axes = all_tensor_axes.get(a.size.tensor_id)
+1491                if ref_tensor_axes is None:
+1492                    raise ValueError(
+1493                        f"{e_msg(descr)}.axes[{a.id}].size.tensor_id: Unknown tensor"
+1494                        + f" reference '{a.size.tensor_id}'"
+1495                    )
+1496
+1497                ref_axis, ref_size = ref_tensor_axes.get(a.size.axis_id, (None, None))
+1498                if ref_axis is None or ref_size is None:
+1499                    raise ValueError(
+1500                        f"{e_msg(descr)}.axes[{a.id}].size.axis_id: Unknown tensor axis"
+1501                        + f" reference '{a.size.tensor_id}.{a.size.axis_id}"
+1502                    )
+1503
+1504                if a.unit != ref_axis.unit:
+1505                    raise ValueError(
+1506                        f"{e_msg(descr)}.axes[{a.id}].size: `SizeReference` requires"
+1507                        + " axis and reference axis to have the same `unit`, but"
+1508                        + f" {a.unit}!={ref_axis.unit}"
+1509                    )
+1510
+1511                if actual_size != (
+1512                    expected_size := (
+1513                        ref_size * ref_axis.scale / a.scale + a.size.offset
 1514                    )
-1515
-1516                if actual_size != (
-1517                    expected_size := (
-1518                        ref_size * ref_axis.scale / a.scale + a.size.offset
-1519                    )
-1520                ):
-1521                    raise ValueError(
-1522                        f"{e_msg(descr)}.{tensor_origin}: axis '{a.id}' of size"
-1523                        + f" {actual_size} invalid for referenced size {ref_size};"
-1524                        + f" expected {expected_size}"
-1525                    )
-1526            else:
-1527                assert_never(a.size)
+1515                ):
+1516                    raise ValueError(
+1517                        f"{e_msg(descr)}.{tensor_origin}: axis '{a.id}' of size"
+1518                        + f" {actual_size} invalid for referenced size {ref_size};"
+1519                        + f" expected {expected_size}"
+1520                    )
+1521            else:
+1522                assert_never(a.size)
 
@@ -10466,19 +10456,19 @@
Inherited Members
-
1530class EnvironmentFileDescr(FileDescr):
-1531    source: Annotated[
-1532        ImportantFileSource,
-1533        WithSuffix((".yaml", ".yml"), case_sensitive=True),
-1534        Field(
-1535            examples=["environment.yaml"],
-1536        ),
-1537    ]
-1538    """∈📦 Conda environment file.
-1539    Allows to specify custom dependencies, see conda docs:
-1540    - [Exporting an environment file across platforms](https://conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html#exporting-an-environment-file-across-platforms)
-1541    - [Creating an environment file manually](https://conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html#creating-an-environment-file-manually)
-1542    """
+            
1525class EnvironmentFileDescr(FileDescr):
+1526    source: Annotated[
+1527        ImportantFileSource,
+1528        WithSuffix((".yaml", ".yml"), case_sensitive=True),
+1529        Field(
+1530            examples=["environment.yaml"],
+1531        ),
+1532    ]
+1533    """∈📦 Conda environment file.
+1534    Allows to specify custom dependencies, see conda docs:
+1535    - [Exporting an environment file across platforms](https://conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html#exporting-an-environment-file-across-platforms)
+1536    - [Creating an environment file manually](https://conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html#creating-an-environment-file-manually)
+1537    """
 
@@ -10488,7 +10478,7 @@
Inherited Members
- source: Annotated[Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator(func=<function wo_special_file_name at 0x7f46aaa98680>), PlainSerializer(func=<function _package at 0x7f46aaa998a0>, return_type=PydanticUndefined, when_used='unless-none'), WithSuffix(suffix=('.yaml', '.yml'), case_sensitive=True), FieldInfo(annotation=NoneType, required=True, examples=['environment.yaml'])] + source: Annotated[Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator(func=<function wo_special_file_name at 0x7f4541d10680>), PlainSerializer(func=<function _package at 0x7f4541d118a0>, return_type=PydanticUndefined, when_used='unless-none'), WithSuffix(suffix=('.yaml', '.yml'), case_sensitive=True), FieldInfo(annotation=NoneType, required=True, examples=['environment.yaml'])]
@@ -10598,8 +10588,8 @@
Inherited Members
-
1553class ArchitectureFromFileDescr(_ArchitectureCallableDescr, FileDescr):
-1554    pass
+            
1548class ArchitectureFromFileDescr(_ArchitectureCallableDescr, FileDescr):
+1549    pass
 
@@ -10706,9 +10696,9 @@
Inherited Members
-
1557class ArchitectureFromLibraryDescr(_ArchitectureCallableDescr):
-1558    import_from: str
-1559    """Where to import the callable from, i.e. `from <import_from> import <callable>`"""
+            
1552class ArchitectureFromLibraryDescr(_ArchitectureCallableDescr):
+1553    import_from: str
+1554    """Where to import the callable from, i.e. `from <import_from> import <callable>`"""
 
@@ -10834,36 +10824,36 @@
Inherited Members
-
1622class WeightsEntryDescrBase(FileDescr):
-1623    type: ClassVar[WeightsFormat]
-1624    weights_format_name: ClassVar[str]  # human readable
-1625
-1626    source: ImportantFileSource
-1627    """∈📦 The weights file."""
-1628
-1629    authors: Optional[List[Author]] = None
-1630    """Authors
-1631    Either the person(s) that have trained this model resulting in the original weights file.
-1632        (If this is the initial weights entry, i.e. it does not have a `parent`)
-1633    Or the person(s) who have converted the weights to this weights format.
-1634        (If this is a child weight, i.e. it has a `parent` field)
-1635    """
-1636
-1637    parent: Annotated[
-1638        Optional[WeightsFormat], Field(examples=["pytorch_state_dict"])
-1639    ] = None
-1640    """The source weights these weights were converted from.
-1641    For example, if a model's weights were converted from the `pytorch_state_dict` format to `torchscript`,
-1642    The `pytorch_state_dict` weights entry has no `parent` and is the parent of the `torchscript` weights.
-1643    All weight entries except one (the initial set of weights resulting from training the model),
-1644    need to have this field."""
+            
1617class WeightsEntryDescrBase(FileDescr):
+1618    type: ClassVar[WeightsFormat]
+1619    weights_format_name: ClassVar[str]  # human readable
+1620
+1621    source: ImportantFileSource
+1622    """∈📦 The weights file."""
+1623
+1624    authors: Optional[List[Author]] = None
+1625    """Authors
+1626    Either the person(s) that have trained this model resulting in the original weights file.
+1627        (If this is the initial weights entry, i.e. it does not have a `parent`)
+1628    Or the person(s) who have converted the weights to this weights format.
+1629        (If this is a child weight, i.e. it has a `parent` field)
+1630    """
+1631
+1632    parent: Annotated[
+1633        Optional[WeightsFormat], Field(examples=["pytorch_state_dict"])
+1634    ] = None
+1635    """The source weights these weights were converted from.
+1636    For example, if a model's weights were converted from the `pytorch_state_dict` format to `torchscript`,
+1637    The `pytorch_state_dict` weights entry has no `parent` and is the parent of the `torchscript` weights.
+1638    All weight entries except one (the initial set of weights resulting from training the model),
+1639    need to have this field."""
+1640
+1641    @model_validator(mode="after")
+1642    def check_parent_is_not_self(self) -> Self:
+1643        if self.type == self.parent:
+1644            raise ValueError("Weights entry can't be it's own parent.")
 1645
-1646    @model_validator(mode="after")
-1647    def check_parent_is_not_self(self) -> Self:
-1648        if self.type == self.parent:
-1649            raise ValueError("Weights entry can't be it's own parent.")
-1650
-1651        return self
+1646        return self
 
@@ -10895,7 +10885,7 @@
Inherited Members
- source: Annotated[Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator(func=<function wo_special_file_name at 0x7f46aaa98680>), PlainSerializer(func=<function _package at 0x7f46aaa998a0>, return_type=PydanticUndefined, when_used='unless-none')] + source: Annotated[Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator(func=<function wo_special_file_name at 0x7f4541d10680>), PlainSerializer(func=<function _package at 0x7f4541d118a0>, return_type=PydanticUndefined, when_used='unless-none')]
@@ -10952,12 +10942,12 @@
Inherited Members
-
1646    @model_validator(mode="after")
-1647    def check_parent_is_not_self(self) -> Self:
-1648        if self.type == self.parent:
-1649            raise ValueError("Weights entry can't be it's own parent.")
-1650
-1651        return self
+            
1641    @model_validator(mode="after")
+1642    def check_parent_is_not_self(self) -> Self:
+1643        if self.type == self.parent:
+1644            raise ValueError("Weights entry can't be it's own parent.")
+1645
+1646        return self
 
@@ -11057,11 +11047,11 @@
Inherited Members
-
1654class KerasHdf5WeightsDescr(WeightsEntryDescrBase):
-1655    type = "keras_hdf5"
-1656    weights_format_name: ClassVar[str] = "Keras HDF5"
-1657    tensorflow_version: Version
-1658    """TensorFlow version used to create these weights."""
+            
1649class KerasHdf5WeightsDescr(WeightsEntryDescrBase):
+1650    type = "keras_hdf5"
+1651    weights_format_name: ClassVar[str] = "Keras HDF5"
+1652    tensorflow_version: Version
+1653    """TensorFlow version used to create these weights."""
 
@@ -11206,11 +11196,11 @@
Inherited Members
-
1661class OnnxWeightsDescr(WeightsEntryDescrBase):
-1662    type = "onnx"
-1663    weights_format_name: ClassVar[str] = "ONNX"
-1664    opset_version: Annotated[int, Ge(7)]
-1665    """ONNX opset version"""
+            
1656class OnnxWeightsDescr(WeightsEntryDescrBase):
+1657    type = "onnx"
+1658    weights_format_name: ClassVar[str] = "ONNX"
+1659    opset_version: Annotated[int, Ge(7)]
+1660    """ONNX opset version"""
 
@@ -11355,19 +11345,19 @@
Inherited Members
-
1668class PytorchStateDictWeightsDescr(WeightsEntryDescrBase):
-1669    type = "pytorch_state_dict"
-1670    weights_format_name: ClassVar[str] = "Pytorch State Dict"
-1671    architecture: ArchitectureDescr
-1672    pytorch_version: Version
-1673    """Version of the PyTorch library used.
-1674    If `architecture.depencencies` is specified it has to include pytorch and any version pinning has to be compatible.
+            
1663class PytorchStateDictWeightsDescr(WeightsEntryDescrBase):
+1664    type = "pytorch_state_dict"
+1665    weights_format_name: ClassVar[str] = "Pytorch State Dict"
+1666    architecture: ArchitectureDescr
+1667    pytorch_version: Version
+1668    """Version of the PyTorch library used.
+1669    If `architecture.depencencies` is specified it has to include pytorch and any version pinning has to be compatible.
+1670    """
+1671    dependencies: Optional[EnvironmentFileDescr] = None
+1672    """Custom depencies beyond pytorch.
+1673    The conda environment file should include pytorch and any version pinning has to be compatible with
+1674    `pytorch_version`.
 1675    """
-1676    dependencies: Optional[EnvironmentFileDescr] = None
-1677    """Custom depencies beyond pytorch.
-1678    The conda environment file should include pytorch and any version pinning has to be compatible with
-1679    `pytorch_version`.
-1680    """
 
@@ -11539,15 +11529,15 @@
Inherited Members
-
1683class TensorflowJsWeightsDescr(WeightsEntryDescrBase):
-1684    type = "tensorflow_js"
-1685    weights_format_name: ClassVar[str] = "Tensorflow.js"
-1686    tensorflow_version: Version
-1687    """Version of the TensorFlow library used."""
-1688
-1689    source: ImportantFileSource
-1690    """∈📦 The multi-file weights.
-1691    All required files/folders should be a zip archive."""
+            
1678class TensorflowJsWeightsDescr(WeightsEntryDescrBase):
+1679    type = "tensorflow_js"
+1680    weights_format_name: ClassVar[str] = "Tensorflow.js"
+1681    tensorflow_version: Version
+1682    """Version of the TensorFlow library used."""
+1683
+1684    source: ImportantFileSource
+1685    """∈📦 The multi-file weights.
+1686    All required files/folders should be a zip archive."""
 
@@ -11594,7 +11584,7 @@
Inherited Members
- source: Annotated[Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator(func=<function wo_special_file_name at 0x7f46aaa98680>), PlainSerializer(func=<function _package at 0x7f46aaa998a0>, return_type=PydanticUndefined, when_used='unless-none')] + source: Annotated[Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator(func=<function wo_special_file_name at 0x7f4541d10680>), PlainSerializer(func=<function _package at 0x7f4541d118a0>, return_type=PydanticUndefined, when_used='unless-none')]
@@ -11705,19 +11695,19 @@
Inherited Members
-
1694class TensorflowSavedModelBundleWeightsDescr(WeightsEntryDescrBase):
-1695    type = "tensorflow_saved_model_bundle"
-1696    weights_format_name: ClassVar[str] = "Tensorflow Saved Model"
-1697    tensorflow_version: Version
-1698    """Version of the TensorFlow library used."""
-1699
-1700    dependencies: Optional[EnvironmentFileDescr] = None
-1701    """Custom dependencies beyond tensorflow.
-1702    Should include tensorflow and any version pinning has to be compatible with `tensorflow_version`."""
-1703
-1704    source: ImportantFileSource
-1705    """∈📦 The multi-file weights.
-1706    All required files/folders should be a zip archive."""
+            
1689class TensorflowSavedModelBundleWeightsDescr(WeightsEntryDescrBase):
+1690    type = "tensorflow_saved_model_bundle"
+1691    weights_format_name: ClassVar[str] = "Tensorflow Saved Model"
+1692    tensorflow_version: Version
+1693    """Version of the TensorFlow library used."""
+1694
+1695    dependencies: Optional[EnvironmentFileDescr] = None
+1696    """Custom dependencies beyond tensorflow.
+1697    Should include tensorflow and any version pinning has to be compatible with `tensorflow_version`."""
+1698
+1699    source: ImportantFileSource
+1700    """∈📦 The multi-file weights.
+1701    All required files/folders should be a zip archive."""
 
@@ -11778,7 +11768,7 @@
Inherited Members
- source: Annotated[Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator(func=<function wo_special_file_name at 0x7f46aaa98680>), PlainSerializer(func=<function _package at 0x7f46aaa998a0>, return_type=PydanticUndefined, when_used='unless-none')] + source: Annotated[Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator(func=<function wo_special_file_name at 0x7f4541d10680>), PlainSerializer(func=<function _package at 0x7f4541d118a0>, return_type=PydanticUndefined, when_used='unless-none')]
@@ -11889,11 +11879,11 @@
Inherited Members
-
1709class TorchscriptWeightsDescr(WeightsEntryDescrBase):
-1710    type = "torchscript"
-1711    weights_format_name: ClassVar[str] = "TorchScript"
-1712    pytorch_version: Version
-1713    """Version of the PyTorch library used."""
+            
1704class TorchscriptWeightsDescr(WeightsEntryDescrBase):
+1705    type = "torchscript"
+1706    weights_format_name: ClassVar[str] = "TorchScript"
+1707    pytorch_version: Version
+1708    """Version of the PyTorch library used."""
 
@@ -12038,54 +12028,54 @@
Inherited Members
-
1716class WeightsDescr(Node):
-1717    keras_hdf5: Optional[KerasHdf5WeightsDescr] = None
-1718    onnx: Optional[OnnxWeightsDescr] = None
-1719    pytorch_state_dict: Optional[PytorchStateDictWeightsDescr] = None
-1720    tensorflow_js: Optional[TensorflowJsWeightsDescr] = None
-1721    tensorflow_saved_model_bundle: Optional[TensorflowSavedModelBundleWeightsDescr] = (
-1722        None
-1723    )
-1724    torchscript: Optional[TorchscriptWeightsDescr] = None
-1725
-1726    @model_validator(mode="after")
-1727    def check_entries(self) -> Self:
-1728        entries = {wtype for wtype, entry in self if entry is not None}
-1729
-1730        if not entries:
-1731            raise ValueError("Missing weights entry")
-1732
-1733        entries_wo_parent = {
-1734            wtype
-1735            for wtype, entry in self
-1736            if entry is not None and hasattr(entry, "parent") and entry.parent is None
-1737        }
-1738        if len(entries_wo_parent) != 1:
-1739            issue_warning(
-1740                "Exactly one weights entry may not specify the `parent` field (got"
-1741                + " {value}).That entry is considered the original set of model weights."
-1742                + " Other weight formats are created through conversion of the orignal or"
-1743                + " already converted weights. They have to reference the weights format"
-1744                + " they were converted from as their `parent`.",
-1745                value=len(entries_wo_parent),
-1746            )
-1747
-1748        for wtype, entry in self:
-1749            if entry is None:
-1750                continue
-1751
-1752            assert hasattr(entry, "type")
-1753            assert hasattr(entry, "parent")
-1754            assert wtype == entry.type
-1755            if (
-1756                entry.parent is not None and entry.parent not in entries
-1757            ):  # self reference checked for `parent` field
-1758                raise ValueError(
-1759                    f"`weights.{wtype}.parent={entry.parent} not in specified weight"
-1760                    + f" formats: {entries}"
-1761                )
-1762
-1763        return self
+            
1711class WeightsDescr(Node):
+1712    keras_hdf5: Optional[KerasHdf5WeightsDescr] = None
+1713    onnx: Optional[OnnxWeightsDescr] = None
+1714    pytorch_state_dict: Optional[PytorchStateDictWeightsDescr] = None
+1715    tensorflow_js: Optional[TensorflowJsWeightsDescr] = None
+1716    tensorflow_saved_model_bundle: Optional[TensorflowSavedModelBundleWeightsDescr] = (
+1717        None
+1718    )
+1719    torchscript: Optional[TorchscriptWeightsDescr] = None
+1720
+1721    @model_validator(mode="after")
+1722    def check_entries(self) -> Self:
+1723        entries = {wtype for wtype, entry in self if entry is not None}
+1724
+1725        if not entries:
+1726            raise ValueError("Missing weights entry")
+1727
+1728        entries_wo_parent = {
+1729            wtype
+1730            for wtype, entry in self
+1731            if entry is not None and hasattr(entry, "parent") and entry.parent is None
+1732        }
+1733        if len(entries_wo_parent) != 1:
+1734            issue_warning(
+1735                "Exactly one weights entry may not specify the `parent` field (got"
+1736                + " {value}).That entry is considered the original set of model weights."
+1737                + " Other weight formats are created through conversion of the orignal or"
+1738                + " already converted weights. They have to reference the weights format"
+1739                + " they were converted from as their `parent`.",
+1740                value=len(entries_wo_parent),
+1741            )
+1742
+1743        for wtype, entry in self:
+1744            if entry is None:
+1745                continue
+1746
+1747            assert hasattr(entry, "type")
+1748            assert hasattr(entry, "parent")
+1749            assert wtype == entry.type
+1750            if (
+1751                entry.parent is not None and entry.parent not in entries
+1752            ):  # self reference checked for `parent` field
+1753                raise ValueError(
+1754                    f"`weights.{wtype}.parent={entry.parent} not in specified weight"
+1755                    + f" formats: {entries}"
+1756                )
+1757
+1758        return self
 
@@ -12171,44 +12161,44 @@
Inherited Members
-
1726    @model_validator(mode="after")
-1727    def check_entries(self) -> Self:
-1728        entries = {wtype for wtype, entry in self if entry is not None}
-1729
-1730        if not entries:
-1731            raise ValueError("Missing weights entry")
-1732
-1733        entries_wo_parent = {
-1734            wtype
-1735            for wtype, entry in self
-1736            if entry is not None and hasattr(entry, "parent") and entry.parent is None
-1737        }
-1738        if len(entries_wo_parent) != 1:
-1739            issue_warning(
-1740                "Exactly one weights entry may not specify the `parent` field (got"
-1741                + " {value}).That entry is considered the original set of model weights."
-1742                + " Other weight formats are created through conversion of the orignal or"
-1743                + " already converted weights. They have to reference the weights format"
-1744                + " they were converted from as their `parent`.",
-1745                value=len(entries_wo_parent),
-1746            )
-1747
-1748        for wtype, entry in self:
-1749            if entry is None:
-1750                continue
-1751
-1752            assert hasattr(entry, "type")
-1753            assert hasattr(entry, "parent")
-1754            assert wtype == entry.type
-1755            if (
-1756                entry.parent is not None and entry.parent not in entries
-1757            ):  # self reference checked for `parent` field
-1758                raise ValueError(
-1759                    f"`weights.{wtype}.parent={entry.parent} not in specified weight"
-1760                    + f" formats: {entries}"
-1761                )
-1762
-1763        return self
+            
1721    @model_validator(mode="after")
+1722    def check_entries(self) -> Self:
+1723        entries = {wtype for wtype, entry in self if entry is not None}
+1724
+1725        if not entries:
+1726            raise ValueError("Missing weights entry")
+1727
+1728        entries_wo_parent = {
+1729            wtype
+1730            for wtype, entry in self
+1731            if entry is not None and hasattr(entry, "parent") and entry.parent is None
+1732        }
+1733        if len(entries_wo_parent) != 1:
+1734            issue_warning(
+1735                "Exactly one weights entry may not specify the `parent` field (got"
+1736                + " {value}).That entry is considered the original set of model weights."
+1737                + " Other weight formats are created through conversion of the orignal or"
+1738                + " already converted weights. They have to reference the weights format"
+1739                + " they were converted from as their `parent`.",
+1740                value=len(entries_wo_parent),
+1741            )
+1742
+1743        for wtype, entry in self:
+1744            if entry is None:
+1745                continue
+1746
+1747            assert hasattr(entry, "type")
+1748            assert hasattr(entry, "parent")
+1749            assert wtype == entry.type
+1750            if (
+1751                entry.parent is not None and entry.parent not in entries
+1752            ):  # self reference checked for `parent` field
+1753                raise ValueError(
+1754                    f"`weights.{wtype}.parent={entry.parent} not in specified weight"
+1755                    + f" formats: {entries}"
+1756                )
+1757
+1758        return self
 
@@ -12302,14 +12292,14 @@
Inherited Members
-
1766class LinkedModel(Node):
-1767    """Reference to a bioimage.io model."""
-1768
-1769    id: ModelId
-1770    """A valid model `id` from the bioimage.io collection."""
-1771
-1772    version_number: int
-1773    """version number (n-th published version, not the semantic version) of linked model"""
+            
1761class LinkedModel(Node):
+1762    """Reference to a bioimage.io model."""
+1763
+1764    id: ModelId
+1765    """A valid model `id` from the bioimage.io collection."""
+1766
+1767    version_number: int
+1768    """version number (n-th published version, not the semantic version) of linked model"""
 
@@ -12430,442 +12420,442 @@
Inherited Members
-
1788class ModelDescr(GenericModelDescrBase, title="bioimage.io model specification"):
-1789    """Specification of the fields used in a bioimage.io-compliant RDF to describe AI models with pretrained weights.
-1790    These fields are typically stored in a YAML file which we call a model resource description file (model RDF).
-1791    """
-1792
-1793    format_version: Literal["0.5.0"] = "0.5.0"
-1794    """Version of the bioimage.io model description specification used.
-1795    When creating a new model always use the latest micro/patch version described here.
-1796    The `format_version` is important for any consumer software to understand how to parse the fields.
-1797    """
-1798
-1799    type: Literal["model"] = "model"
-1800    """Specialized resource type 'model'"""
-1801
-1802    id: Optional[ModelId] = None
-1803    """Model zoo (bioimage.io) wide, unique identifier (assigned by bioimage.io)"""
-1804
-1805    authors: NotEmpty[List[Author]]
-1806    """The authors are the creators of the model RDF and the primary points of contact."""
-1807
-1808    documentation: Annotated[
-1809        DocumentationSource,
-1810        Field(
-1811            examples=[
-1812                "https://raw.githubusercontent.com/bioimage-io/spec-bioimage-io/main/example_descriptions/models/unet2d_nuclei_broad/README.md",
-1813                "README.md",
-1814            ],
-1815        ),
-1816    ]
-1817    """∈📦 URL or relative path to a markdown file with additional documentation.
-1818    The recommended documentation file name is `README.md`. An `.md` suffix is mandatory.
-1819    The documentation should include a '#[#] Validation' (sub)section
-1820    with details on how to quantitatively validate the model on unseen data."""
-1821
-1822    @field_validator("documentation", mode="after")
-1823    @classmethod
-1824    def _validate_documentation(cls, value: DocumentationSource) -> DocumentationSource:
-1825        if not validation_context_var.get().perform_io_checks:
-1826            return value
-1827
-1828        doc_path = download(value).path
-1829        doc_content = doc_path.read_text()
-1830        if not re.match("#.*[vV]alidation", doc_content):
-1831            issue_warning(
-1832                "No '# Validation' (sub)section found in {value}.", value=value
-1833            )
+            
1783class ModelDescr(GenericModelDescrBase, title="bioimage.io model specification"):
+1784    """Specification of the fields used in a bioimage.io-compliant RDF to describe AI models with pretrained weights.
+1785    These fields are typically stored in a YAML file which we call a model resource description file (model RDF).
+1786    """
+1787
+1788    format_version: Literal["0.5.0"] = "0.5.0"
+1789    """Version of the bioimage.io model description specification used.
+1790    When creating a new model always use the latest micro/patch version described here.
+1791    The `format_version` is important for any consumer software to understand how to parse the fields.
+1792    """
+1793
+1794    type: Literal["model"] = "model"
+1795    """Specialized resource type 'model'"""
+1796
+1797    id: Optional[ModelId] = None
+1798    """Model zoo (bioimage.io) wide, unique identifier (assigned by bioimage.io)"""
+1799
+1800    authors: NotEmpty[List[Author]]
+1801    """The authors are the creators of the model RDF and the primary points of contact."""
+1802
+1803    documentation: Annotated[
+1804        DocumentationSource,
+1805        Field(
+1806            examples=[
+1807                "https://raw.githubusercontent.com/bioimage-io/spec-bioimage-io/main/example_descriptions/models/unet2d_nuclei_broad/README.md",
+1808                "README.md",
+1809            ],
+1810        ),
+1811    ]
+1812    """∈📦 URL or relative path to a markdown file with additional documentation.
+1813    The recommended documentation file name is `README.md`. An `.md` suffix is mandatory.
+1814    The documentation should include a '#[#] Validation' (sub)section
+1815    with details on how to quantitatively validate the model on unseen data."""
+1816
+1817    @field_validator("documentation", mode="after")
+1818    @classmethod
+1819    def _validate_documentation(cls, value: DocumentationSource) -> DocumentationSource:
+1820        if not validation_context_var.get().perform_io_checks:
+1821            return value
+1822
+1823        doc_path = download(value).path
+1824        doc_content = doc_path.read_text()
+1825        if not re.match("#.*[vV]alidation", doc_content):
+1826            issue_warning(
+1827                "No '# Validation' (sub)section found in {value}.", value=value
+1828            )
+1829
+1830        return value
+1831
+1832    inputs: NotEmpty[Sequence[InputTensorDescr]]
+1833    """Describes the input tensors expected by this model."""
 1834
-1835        return value
-1836
-1837    inputs: NotEmpty[Sequence[InputTensorDescr]]
-1838    """Describes the input tensors expected by this model."""
-1839
-1840    @field_validator("inputs", mode="after")
-1841    @classmethod
-1842    def _validate_input_axes(
-1843        cls, inputs: Sequence[InputTensorDescr]
-1844    ) -> Sequence[InputTensorDescr]:
-1845        input_size_refs = cls._get_axes_with_independent_size(inputs)
-1846
-1847        for i, ipt in enumerate(inputs):
-1848            valid_independent_refs: Dict[
-1849                Tuple[TensorId, AxisId],
-1850                Tuple[TensorDescr, AnyAxis, Union[int, ParameterizedSize]],
-1851            ] = {
-1852                **{
-1853                    (ipt.id, a.id): (ipt, a, a.size)
-1854                    for a in ipt.axes
-1855                    if not isinstance(a, BatchAxis)
-1856                    and isinstance(a.size, (int, ParameterizedSize))
-1857                },
-1858                **input_size_refs,
-1859            }
-1860            for a, ax in enumerate(ipt.axes):
-1861                cls._validate_axis(
-1862                    "inputs",
-1863                    i=i,
-1864                    tensor_id=ipt.id,
-1865                    a=a,
-1866                    axis=ax,
-1867                    valid_independent_refs=valid_independent_refs,
-1868                )
-1869        return inputs
-1870
-1871    @staticmethod
-1872    def _validate_axis(
-1873        field_name: str,
-1874        i: int,
-1875        tensor_id: TensorId,
-1876        a: int,
-1877        axis: AnyAxis,
-1878        valid_independent_refs: Dict[
-1879            Tuple[TensorId, AxisId],
-1880            Tuple[TensorDescr, AnyAxis, Union[int, ParameterizedSize]],
-1881        ],
-1882    ):
-1883        if isinstance(axis, BatchAxis) or isinstance(axis.size, int):
-1884            return
-1885
-1886        if isinstance(axis.size, (ParameterizedSize, DataDependentSize)):
-1887            if isinstance(axis, WithHalo) and (axis.size.min - 2 * axis.halo) < 1:
-1888                raise ValueError(
-1889                    f"axis {axis.id} with minimum size {axis.size.min} is too small for"
-1890                    + f" halo {axis.halo}."
-1891                )
-1892
-1893        elif isinstance(axis.size, SizeReference):
-1894            ref = (axis.size.tensor_id, axis.size.axis_id)
-1895            if ref not in valid_independent_refs:
+1835    @field_validator("inputs", mode="after")
+1836    @classmethod
+1837    def _validate_input_axes(
+1838        cls, inputs: Sequence[InputTensorDescr]
+1839    ) -> Sequence[InputTensorDescr]:
+1840        input_size_refs = cls._get_axes_with_independent_size(inputs)
+1841
+1842        for i, ipt in enumerate(inputs):
+1843            valid_independent_refs: Dict[
+1844                Tuple[TensorId, AxisId],
+1845                Tuple[TensorDescr, AnyAxis, Union[int, ParameterizedSize]],
+1846            ] = {
+1847                **{
+1848                    (ipt.id, a.id): (ipt, a, a.size)
+1849                    for a in ipt.axes
+1850                    if not isinstance(a, BatchAxis)
+1851                    and isinstance(a.size, (int, ParameterizedSize))
+1852                },
+1853                **input_size_refs,
+1854            }
+1855            for a, ax in enumerate(ipt.axes):
+1856                cls._validate_axis(
+1857                    "inputs",
+1858                    i=i,
+1859                    tensor_id=ipt.id,
+1860                    a=a,
+1861                    axis=ax,
+1862                    valid_independent_refs=valid_independent_refs,
+1863                )
+1864        return inputs
+1865
+1866    @staticmethod
+1867    def _validate_axis(
+1868        field_name: str,
+1869        i: int,
+1870        tensor_id: TensorId,
+1871        a: int,
+1872        axis: AnyAxis,
+1873        valid_independent_refs: Dict[
+1874            Tuple[TensorId, AxisId],
+1875            Tuple[TensorDescr, AnyAxis, Union[int, ParameterizedSize]],
+1876        ],
+1877    ):
+1878        if isinstance(axis, BatchAxis) or isinstance(axis.size, int):
+1879            return
+1880
+1881        if isinstance(axis.size, (ParameterizedSize, DataDependentSize)):
+1882            if isinstance(axis, WithHalo) and (axis.size.min - 2 * axis.halo) < 1:
+1883                raise ValueError(
+1884                    f"axis {axis.id} with minimum size {axis.size.min} is too small for"
+1885                    + f" halo {axis.halo}."
+1886                )
+1887
+1888        elif isinstance(axis.size, SizeReference):
+1889            ref = (axis.size.tensor_id, axis.size.axis_id)
+1890            if ref not in valid_independent_refs:
+1891                raise ValueError(
+1892                    "Invalid tensor axis reference at"
+1893                    + f" {field_name}[{i}].axes[{a}].size: {axis.size}."
+1894                )
+1895            if ref == (tensor_id, axis.id):
 1896                raise ValueError(
-1897                    "Invalid tensor axis reference at"
-1898                    + f" {field_name}[{i}].axes[{a}].size: {axis.size}."
+1897                    "Self-referencing not allowed for"
+1898                    + f" {field_name}[{i}].axes[{a}].size: {axis.size}"
 1899                )
-1900            if ref == (tensor_id, axis.id):
-1901                raise ValueError(
-1902                    "Self-referencing not allowed for"
-1903                    + f" {field_name}[{i}].axes[{a}].size: {axis.size}"
-1904                )
-1905            if axis.type == "channel":
-1906                if valid_independent_refs[ref][1].type != "channel":
-1907                    raise ValueError(
-1908                        "A channel axis' size may only reference another fixed size"
-1909                        + " channel axis."
-1910                    )
-1911                if isinstance(axis.channel_names, str) and "{i}" in axis.channel_names:
-1912                    ref_size = valid_independent_refs[ref][2]
-1913                    assert isinstance(ref_size, int), (
-1914                        "channel axis ref (another channel axis) has to specify fixed"
-1915                        + " size"
-1916                    )
-1917                    generated_channel_names = [
-1918                        Identifier(axis.channel_names.format(i=i))
-1919                        for i in range(1, ref_size + 1)
-1920                    ]
-1921                    axis.channel_names = generated_channel_names
-1922
-1923            if (ax_unit := getattr(axis, "unit", None)) != (
-1924                ref_unit := getattr(valid_independent_refs[ref][1], "unit", None)
-1925            ):
-1926                raise ValueError(
-1927                    "The units of an axis and its reference axis need to match, but"
-1928                    + f" '{ax_unit}' != '{ref_unit}'."
-1929                )
-1930            min_size = valid_independent_refs[ref][2]
-1931            if isinstance(min_size, ParameterizedSize):
-1932                min_size = min_size.min
-1933
-1934            if isinstance(axis, WithHalo) and (min_size - 2 * axis.halo) < 1:
-1935                raise ValueError(
-1936                    f"axis {axis.id} with minimum size {min_size} is too small for halo"
-1937                    + f" {axis.halo}."
-1938                )
-1939
-1940        else:
-1941            assert_never(axis.size)
+1900            if axis.type == "channel":
+1901                if valid_independent_refs[ref][1].type != "channel":
+1902                    raise ValueError(
+1903                        "A channel axis' size may only reference another fixed size"
+1904                        + " channel axis."
+1905                    )
+1906                if isinstance(axis.channel_names, str) and "{i}" in axis.channel_names:
+1907                    ref_size = valid_independent_refs[ref][2]
+1908                    assert isinstance(ref_size, int), (
+1909                        "channel axis ref (another channel axis) has to specify fixed"
+1910                        + " size"
+1911                    )
+1912                    generated_channel_names = [
+1913                        Identifier(axis.channel_names.format(i=i))
+1914                        for i in range(1, ref_size + 1)
+1915                    ]
+1916                    axis.channel_names = generated_channel_names
+1917
+1918            if (ax_unit := getattr(axis, "unit", None)) != (
+1919                ref_unit := getattr(valid_independent_refs[ref][1], "unit", None)
+1920            ):
+1921                raise ValueError(
+1922                    "The units of an axis and its reference axis need to match, but"
+1923                    + f" '{ax_unit}' != '{ref_unit}'."
+1924                )
+1925            min_size = valid_independent_refs[ref][2]
+1926            if isinstance(min_size, ParameterizedSize):
+1927                min_size = min_size.min
+1928
+1929            if isinstance(axis, WithHalo) and (min_size - 2 * axis.halo) < 1:
+1930                raise ValueError(
+1931                    f"axis {axis.id} with minimum size {min_size} is too small for halo"
+1932                    + f" {axis.halo}."
+1933                )
+1934
+1935        else:
+1936            assert_never(axis.size)
+1937
+1938    @model_validator(mode="after")
+1939    def _validate_test_tensors(self) -> Self:
+1940        if not validation_context_var.get().perform_io_checks:
+1941            return self
 1942
-1943    @model_validator(mode="after")
-1944    def _validate_test_tensors(self) -> Self:
-1945        if not validation_context_var.get().perform_io_checks:
-1946            return self
-1947
-1948        test_arrays = [
-1949            load_array(descr.test_tensor.download().path)
-1950            for descr in chain(self.inputs, self.outputs)
-1951        ]
-1952        tensors = {
-1953            descr.id: (descr, array)
-1954            for descr, array in zip(chain(self.inputs, self.outputs), test_arrays)
-1955        }
-1956        validate_tensors(tensors, tensor_origin="test_tensor")
-1957        return self
-1958
-1959    @model_validator(mode="after")
-1960    def _validate_tensor_references_in_proc_kwargs(self, info: ValidationInfo) -> Self:
-1961        ipt_refs = {t.id for t in self.inputs}
-1962        out_refs = {t.id for t in self.outputs}
-1963        for ipt in self.inputs:
-1964            for p in ipt.preprocessing:
-1965                ref = p.kwargs.get("reference_tensor")
-1966                if ref is None:
-1967                    continue
-1968                if ref not in ipt_refs:
-1969                    raise ValueError(
-1970                        f"`reference_tensor` '{ref}' not found. Valid input tensor"
-1971                        + f" references are: {ipt_refs}."
-1972                    )
-1973
-1974        for out in self.outputs:
-1975            for p in out.postprocessing:
-1976                ref = p.kwargs.get("reference_tensor")
-1977                if ref is None:
-1978                    continue
-1979
-1980                if ref not in ipt_refs and ref not in out_refs:
-1981                    raise ValueError(
-1982                        f"`reference_tensor` '{ref}' not found. Valid tensor references"
-1983                        + f" are: {ipt_refs | out_refs}."
-1984                    )
+1943        test_arrays = [
+1944            load_array(descr.test_tensor.download().path)
+1945            for descr in chain(self.inputs, self.outputs)
+1946        ]
+1947        tensors = {
+1948            descr.id: (descr, array)
+1949            for descr, array in zip(chain(self.inputs, self.outputs), test_arrays)
+1950        }
+1951        validate_tensors(tensors, tensor_origin="test_tensor")
+1952        return self
+1953
+1954    @model_validator(mode="after")
+1955    def _validate_tensor_references_in_proc_kwargs(self, info: ValidationInfo) -> Self:
+1956        ipt_refs = {t.id for t in self.inputs}
+1957        out_refs = {t.id for t in self.outputs}
+1958        for ipt in self.inputs:
+1959            for p in ipt.preprocessing:
+1960                ref = p.kwargs.get("reference_tensor")
+1961                if ref is None:
+1962                    continue
+1963                if ref not in ipt_refs:
+1964                    raise ValueError(
+1965                        f"`reference_tensor` '{ref}' not found. Valid input tensor"
+1966                        + f" references are: {ipt_refs}."
+1967                    )
+1968
+1969        for out in self.outputs:
+1970            for p in out.postprocessing:
+1971                ref = p.kwargs.get("reference_tensor")
+1972                if ref is None:
+1973                    continue
+1974
+1975                if ref not in ipt_refs and ref not in out_refs:
+1976                    raise ValueError(
+1977                        f"`reference_tensor` '{ref}' not found. Valid tensor references"
+1978                        + f" are: {ipt_refs | out_refs}."
+1979                    )
+1980
+1981        return self
+1982
+1983    # TODO: use validate funcs in validate_test_tensors
+1984    # def validate_inputs(self, input_tensors: Mapping[TensorId, NDArray[Any]]) -> Mapping[TensorId, NDArray[Any]]:
 1985
-1986        return self
-1987
-1988    # TODO: use validate funcs in validate_test_tensors
-1989    # def validate_inputs(self, input_tensors: Mapping[TensorId, NDArray[Any]]) -> Mapping[TensorId, NDArray[Any]]:
-1990
-1991    name: Annotated[
-1992        Annotated[
-1993            str, RestrictCharacters(string.ascii_letters + string.digits + "_- ()")
-1994        ],
-1995        MinLen(5),
-1996        MaxLen(128),
-1997        warn(MaxLen(64), "Name longer than 64 characters.", INFO),
-1998    ]
-1999    """A human-readable name of this model.
-2000    It should be no longer than 64 characters
-2001    and may only contain letter, number, underscore, minus, parentheses and spaces.
-2002    We recommend to chose a name that refers to the model's task and image modality.
-2003    """
-2004
-2005    outputs: NotEmpty[Sequence[OutputTensorDescr]]
-2006    """Describes the output tensors."""
-2007
-2008    @field_validator("outputs", mode="after")
-2009    @classmethod
-2010    def _validate_tensor_ids(
-2011        cls, outputs: Sequence[OutputTensorDescr], info: ValidationInfo
-2012    ) -> Sequence[OutputTensorDescr]:
-2013        tensor_ids = [
-2014            t.id for t in info.data.get("inputs", []) + info.data.get("outputs", [])
-2015        ]
-2016        duplicate_tensor_ids: List[str] = []
-2017        seen: Set[str] = set()
-2018        for t in tensor_ids:
-2019            if t in seen:
-2020                duplicate_tensor_ids.append(t)
+1986    name: Annotated[
+1987        Annotated[
+1988            str, RestrictCharacters(string.ascii_letters + string.digits + "_- ()")
+1989        ],
+1990        MinLen(5),
+1991        MaxLen(128),
+1992        warn(MaxLen(64), "Name longer than 64 characters.", INFO),
+1993    ]
+1994    """A human-readable name of this model.
+1995    It should be no longer than 64 characters
+1996    and may only contain letter, number, underscore, minus, parentheses and spaces.
+1997    We recommend to chose a name that refers to the model's task and image modality.
+1998    """
+1999
+2000    outputs: NotEmpty[Sequence[OutputTensorDescr]]
+2001    """Describes the output tensors."""
+2002
+2003    @field_validator("outputs", mode="after")
+2004    @classmethod
+2005    def _validate_tensor_ids(
+2006        cls, outputs: Sequence[OutputTensorDescr], info: ValidationInfo
+2007    ) -> Sequence[OutputTensorDescr]:
+2008        tensor_ids = [
+2009            t.id for t in info.data.get("inputs", []) + info.data.get("outputs", [])
+2010        ]
+2011        duplicate_tensor_ids: List[str] = []
+2012        seen: Set[str] = set()
+2013        for t in tensor_ids:
+2014            if t in seen:
+2015                duplicate_tensor_ids.append(t)
+2016
+2017            seen.add(t)
+2018
+2019        if duplicate_tensor_ids:
+2020            raise ValueError(f"Duplicate tensor ids: {duplicate_tensor_ids}")
 2021
-2022            seen.add(t)
+2022        return outputs
 2023
-2024        if duplicate_tensor_ids:
-2025            raise ValueError(f"Duplicate tensor ids: {duplicate_tensor_ids}")
-2026
-2027        return outputs
-2028
-2029    @staticmethod
-2030    def _get_axes_with_parameterized_size(
-2031        io: Union[Sequence[InputTensorDescr], Sequence[OutputTensorDescr]],
-2032    ):
-2033        return {
-2034            f"{t.id}.{a.id}": (t, a, a.size)
-2035            for t in io
-2036            for a in t.axes
-2037            if not isinstance(a, BatchAxis) and isinstance(a.size, ParameterizedSize)
-2038        }
-2039
-2040    @staticmethod
-2041    def _get_axes_with_independent_size(
-2042        io: Union[Sequence[InputTensorDescr], Sequence[OutputTensorDescr]],
-2043    ):
-2044        return {
-2045            (t.id, a.id): (t, a, a.size)
-2046            for t in io
-2047            for a in t.axes
-2048            if not isinstance(a, BatchAxis)
-2049            and isinstance(a.size, (int, ParameterizedSize))
-2050        }
-2051
-2052    @field_validator("outputs", mode="after")
-2053    @classmethod
-2054    def _validate_output_axes(
-2055        cls, outputs: List[OutputTensorDescr], info: ValidationInfo
-2056    ) -> List[OutputTensorDescr]:
-2057        input_size_refs = cls._get_axes_with_independent_size(
-2058            info.data.get("inputs", [])
-2059        )
-2060        output_size_refs = cls._get_axes_with_independent_size(outputs)
-2061
-2062        for i, out in enumerate(outputs):
-2063            valid_independent_refs: Dict[
-2064                Tuple[TensorId, AxisId],
-2065                Tuple[TensorDescr, AnyAxis, Union[int, ParameterizedSize]],
-2066            ] = {
-2067                **{
-2068                    (out.id, a.id): (out, a, a.size)
-2069                    for a in out.axes
-2070                    if not isinstance(a, BatchAxis)
-2071                    and isinstance(a.size, (int, ParameterizedSize))
-2072                },
-2073                **input_size_refs,
-2074                **output_size_refs,
-2075            }
-2076            for a, ax in enumerate(out.axes):
-2077                cls._validate_axis(
-2078                    "outputs",
-2079                    i,
-2080                    out.id,
-2081                    a,
-2082                    ax,
-2083                    valid_independent_refs=valid_independent_refs,
-2084                )
-2085
-2086        return outputs
-2087
-2088    packaged_by: List[Author] = Field(default_factory=list)
-2089    """The persons that have packaged and uploaded this model.
-2090    Only required if those persons differ from the `authors`."""
-2091
-2092    parent: Optional[LinkedModel] = None
-2093    """The model from which this model is derived, e.g. by fine-tuning the weights."""
-2094
-2095    # todo: add parent self check once we have `id`
-2096    # @model_validator(mode="after")
-2097    # def validate_parent_is_not_self(self) -> Self:
-2098    #     if self.parent is not None and self.parent == self.id:
-2099    #         raise ValueError("The model may not reference itself as parent model")
-2100
-2101    #     return self
-2102
-2103    run_mode: Annotated[
-2104        Optional[RunMode],
-2105        warn(None, "Run mode '{value}' has limited support across consumer softwares."),
-2106    ] = None
-2107    """Custom run mode for this model: for more complex prediction procedures like test time
-2108    data augmentation that currently cannot be expressed in the specification.
-2109    No standard run modes are defined yet."""
+2024    @staticmethod
+2025    def _get_axes_with_parameterized_size(
+2026        io: Union[Sequence[InputTensorDescr], Sequence[OutputTensorDescr]],
+2027    ):
+2028        return {
+2029            f"{t.id}.{a.id}": (t, a, a.size)
+2030            for t in io
+2031            for a in t.axes
+2032            if not isinstance(a, BatchAxis) and isinstance(a.size, ParameterizedSize)
+2033        }
+2034
+2035    @staticmethod
+2036    def _get_axes_with_independent_size(
+2037        io: Union[Sequence[InputTensorDescr], Sequence[OutputTensorDescr]],
+2038    ):
+2039        return {
+2040            (t.id, a.id): (t, a, a.size)
+2041            for t in io
+2042            for a in t.axes
+2043            if not isinstance(a, BatchAxis)
+2044            and isinstance(a.size, (int, ParameterizedSize))
+2045        }
+2046
+2047    @field_validator("outputs", mode="after")
+2048    @classmethod
+2049    def _validate_output_axes(
+2050        cls, outputs: List[OutputTensorDescr], info: ValidationInfo
+2051    ) -> List[OutputTensorDescr]:
+2052        input_size_refs = cls._get_axes_with_independent_size(
+2053            info.data.get("inputs", [])
+2054        )
+2055        output_size_refs = cls._get_axes_with_independent_size(outputs)
+2056
+2057        for i, out in enumerate(outputs):
+2058            valid_independent_refs: Dict[
+2059                Tuple[TensorId, AxisId],
+2060                Tuple[TensorDescr, AnyAxis, Union[int, ParameterizedSize]],
+2061            ] = {
+2062                **{
+2063                    (out.id, a.id): (out, a, a.size)
+2064                    for a in out.axes
+2065                    if not isinstance(a, BatchAxis)
+2066                    and isinstance(a.size, (int, ParameterizedSize))
+2067                },
+2068                **input_size_refs,
+2069                **output_size_refs,
+2070            }
+2071            for a, ax in enumerate(out.axes):
+2072                cls._validate_axis(
+2073                    "outputs",
+2074                    i,
+2075                    out.id,
+2076                    a,
+2077                    ax,
+2078                    valid_independent_refs=valid_independent_refs,
+2079                )
+2080
+2081        return outputs
+2082
+2083    packaged_by: List[Author] = Field(default_factory=list)
+2084    """The persons that have packaged and uploaded this model.
+2085    Only required if those persons differ from the `authors`."""
+2086
+2087    parent: Optional[LinkedModel] = None
+2088    """The model from which this model is derived, e.g. by fine-tuning the weights."""
+2089
+2090    # todo: add parent self check once we have `id`
+2091    # @model_validator(mode="after")
+2092    # def validate_parent_is_not_self(self) -> Self:
+2093    #     if self.parent is not None and self.parent == self.id:
+2094    #         raise ValueError("The model may not reference itself as parent model")
+2095
+2096    #     return self
+2097
+2098    run_mode: Annotated[
+2099        Optional[RunMode],
+2100        warn(None, "Run mode '{value}' has limited support across consumer softwares."),
+2101    ] = None
+2102    """Custom run mode for this model: for more complex prediction procedures like test time
+2103    data augmentation that currently cannot be expressed in the specification.
+2104    No standard run modes are defined yet."""
+2105
+2106    timestamp: Datetime = Datetime(datetime.now())
+2107    """Timestamp in [ISO 8601](#https://en.wikipedia.org/wiki/ISO_8601) format
+2108    with a few restrictions listed [here](https://docs.python.org/3/library/datetime.html#datetime.datetime.fromisoformat).
+2109    (In Python a datetime object is valid, too)."""
 2110
-2111    timestamp: Datetime = Datetime(datetime.now())
-2112    """Timestamp in [ISO 8601](#https://en.wikipedia.org/wiki/ISO_8601) format
-2113    with a few restrictions listed [here](https://docs.python.org/3/library/datetime.html#datetime.datetime.fromisoformat).
-2114    (In Python a datetime object is valid, too)."""
-2115
-2116    training_data: Union[LinkedDataset, DatasetDescr, None] = None
-2117    """The dataset used to train this model"""
+2111    training_data: Union[LinkedDataset, DatasetDescr, None] = None
+2112    """The dataset used to train this model"""
+2113
+2114    weights: WeightsDescr
+2115    """The weights for this model.
+2116    Weights can be given for different formats, but should otherwise be equivalent.
+2117    The available weight formats determine which consumers can use this model."""
 2118
-2119    weights: WeightsDescr
-2120    """The weights for this model.
-2121    Weights can be given for different formats, but should otherwise be equivalent.
-2122    The available weight formats determine which consumers can use this model."""
+2119    @model_validator(mode="after")
+2120    def _add_default_cover(self) -> Self:
+2121        if not validation_context_var.get().perform_io_checks or self.covers:
+2122            return self
 2123
-2124    @model_validator(mode="after")
-2125    def _add_default_cover(self) -> Self:
-2126        if not validation_context_var.get().perform_io_checks or self.covers:
-2127            return self
-2128
-2129        try:
-2130            generated_covers = generate_covers(
-2131                [(t, load_array(t.test_tensor.download().path)) for t in self.inputs],
-2132                [(t, load_array(t.test_tensor.download().path)) for t in self.outputs],
-2133            )
-2134        except Exception as e:
-2135            issue_warning(
-2136                "Failed to generate cover image(s): {e}",
-2137                value=self.covers,
-2138                msg_context=dict(e=e),
-2139            )
-2140        else:
-2141            self.covers.extend(generated_covers)
-2142
-2143        return self
+2124        try:
+2125            generated_covers = generate_covers(
+2126                [(t, load_array(t.test_tensor.download().path)) for t in self.inputs],
+2127                [(t, load_array(t.test_tensor.download().path)) for t in self.outputs],
+2128            )
+2129        except Exception as e:
+2130            issue_warning(
+2131                "Failed to generate cover image(s): {e}",
+2132                value=self.covers,
+2133                msg_context=dict(e=e),
+2134            )
+2135        else:
+2136            self.covers.extend(generated_covers)
+2137
+2138        return self
+2139
+2140    def get_input_test_arrays(self) -> List[NDArray[Any]]:
+2141        data = [load_array(ipt.test_tensor.download().path) for ipt in self.inputs]
+2142        assert all(isinstance(d, np.ndarray) for d in data)
+2143        return data
 2144
-2145    def get_input_test_arrays(self) -> List[NDArray[Any]]:
-2146        data = [load_array(ipt.test_tensor.download().path) for ipt in self.inputs]
+2145    def get_output_test_arrays(self) -> List[NDArray[Any]]:
+2146        data = [load_array(out.test_tensor.download().path) for out in self.outputs]
 2147        assert all(isinstance(d, np.ndarray) for d in data)
 2148        return data
 2149
-2150    def get_output_test_arrays(self) -> List[NDArray[Any]]:
-2151        data = [load_array(out.test_tensor.download().path) for out in self.outputs]
-2152        assert all(isinstance(d, np.ndarray) for d in data)
-2153        return data
-2154
-2155    def get_tensor_sizes(
-2156        self, ns: Dict[Tuple[TensorId, AxisId], ParameterizedSize.N], batch_size: int
-2157    ) -> _TensorSizes:
-2158        all_axes = {
-2159            t.id: {a.id: a for a in t.axes} for t in chain(self.inputs, self.outputs)
-2160        }
-2161
-2162        predetermined: Dict[Tuple[TensorId, AxisId], int] = {}
-2163        data_dependent: Dict[Tuple[TensorId, AxisId], _DataDepSize] = {}
-2164        for t_descr in chain(self.inputs, self.outputs):
-2165            for a in t_descr.axes:
-2166                if isinstance(a, BatchAxis):
-2167                    if (t_descr.id, a.id) in ns:
-2168                        raise ValueError(
-2169                            f"No size increment factor (n) for batch axis of tensor {t_descr.id} expected."
-2170                        )
-2171                    s = batch_size
-2172                elif isinstance(a.size, int):
-2173                    if (t_descr.id, a.id) in ns:
-2174                        raise ValueError(
-2175                            f"No size increment factor (n) for fixed size axis {a.id} of tensor {t_descr.id} expected."
-2176                        )
-2177                    s = a.size
-2178                elif isinstance(a.size, ParameterizedSize):
-2179                    if (t_descr.id, a.id) not in ns:
-2180                        raise ValueError(
-2181                            f"Size increment factor (n) not given for parametrized axis {a.id} of tensor {t_descr.id}."
-2182                        )
-2183                    s = a.size.get_size(ns[(t_descr.id, a.id)])
-2184                elif isinstance(a.size, SizeReference):
-2185                    assert not isinstance(a, BatchAxis)
-2186                    ref_axis = all_axes[a.size.tensor_id][a.size.axis_id]
-2187                    assert not isinstance(ref_axis, BatchAxis)
-2188                    if (a.size.tensor_id, a.size.axis_id) not in ns:
-2189                        raise ValueError(
-2190                            f"No increment (n) provided for axis {a.id} of tensor {t_descr.id}. Expected reference from tensor {a.size.tensor_id} and axis {a.size.axis_id}."
-2191                        )
-2192                    s = a.size.get_size(
-2193                        axis=a, ref_axis=ref_axis, n=ns[(t_descr.id, a.id)]
-2194                    )
-2195                elif isinstance(a.size, DataDependentSize):
-2196                    if (t_descr.id, a.id) in ns:
-2197                        raise ValueError(
-2198                            f"No size increment factor (n) for data dependent size axis {a.id} of tensor {t_descr.id} expected."
-2199                        )
-2200                    data_dependent[t_descr.id, a.id] = _DataDepSize(
-2201                        a.size.min, a.size.max
-2202                    )
-2203                    continue
-2204                else:
-2205                    assert_never(a.size)
-2206
-2207                predetermined[t_descr.id, a.id] = s
-2208
-2209        return _TensorSizes(predetermined, data_dependent)
-2210
-2211    @model_validator(mode="before")
-2212    @classmethod
-2213    def _convert(cls, data: Dict[str, Any]) -> Dict[str, Any]:
-2214        if (
-2215            data.get("type") == "model"
-2216            and isinstance(fv := data.get("format_version"), str)
-2217            and (fv.startswith("0.3.") or fv.startswith("0.4."))
-2218        ):
-2219            m04 = _ModelDescr_v0_4.load(data)
-2220            if not isinstance(m04, InvalidDescr):
-2221                return _model_conv.convert_as_dict(m04)
-2222
-2223        return data
+2150    def get_tensor_sizes(
+2151        self, ns: Dict[Tuple[TensorId, AxisId], ParameterizedSize.N], batch_size: int
+2152    ) -> _TensorSizes:
+2153        all_axes = {
+2154            t.id: {a.id: a for a in t.axes} for t in chain(self.inputs, self.outputs)
+2155        }
+2156
+2157        predetermined: Dict[Tuple[TensorId, AxisId], int] = {}
+2158        data_dependent: Dict[Tuple[TensorId, AxisId], _DataDepSize] = {}
+2159        for t_descr in chain(self.inputs, self.outputs):
+2160            for a in t_descr.axes:
+2161                if isinstance(a, BatchAxis):
+2162                    if (t_descr.id, a.id) in ns:
+2163                        raise ValueError(
+2164                            f"No size increment factor (n) for batch axis of tensor {t_descr.id} expected."
+2165                        )
+2166                    s = batch_size
+2167                elif isinstance(a.size, int):
+2168                    if (t_descr.id, a.id) in ns:
+2169                        raise ValueError(
+2170                            f"No size increment factor (n) for fixed size axis {a.id} of tensor {t_descr.id} expected."
+2171                        )
+2172                    s = a.size
+2173                elif isinstance(a.size, ParameterizedSize):
+2174                    if (t_descr.id, a.id) not in ns:
+2175                        raise ValueError(
+2176                            f"Size increment factor (n) not given for parametrized axis {a.id} of tensor {t_descr.id}."
+2177                        )
+2178                    s = a.size.get_size(ns[(t_descr.id, a.id)])
+2179                elif isinstance(a.size, SizeReference):
+2180                    assert not isinstance(a, BatchAxis)
+2181                    ref_axis = all_axes[a.size.tensor_id][a.size.axis_id]
+2182                    assert not isinstance(ref_axis, BatchAxis)
+2183                    if (a.size.tensor_id, a.size.axis_id) not in ns:
+2184                        raise ValueError(
+2185                            f"No increment (n) provided for axis {a.id} of tensor {t_descr.id}. Expected reference from tensor {a.size.tensor_id} and axis {a.size.axis_id}."
+2186                        )
+2187                    s = a.size.get_size(
+2188                        axis=a, ref_axis=ref_axis, n=ns[(t_descr.id, a.id)]
+2189                    )
+2190                elif isinstance(a.size, DataDependentSize):
+2191                    if (t_descr.id, a.id) in ns:
+2192                        raise ValueError(
+2193                            f"No size increment factor (n) for data dependent size axis {a.id} of tensor {t_descr.id} expected."
+2194                        )
+2195                    data_dependent[t_descr.id, a.id] = _DataDepSize(
+2196                        a.size.min, a.size.max
+2197                    )
+2198                    continue
+2199                else:
+2200                    assert_never(a.size)
+2201
+2202                predetermined[t_descr.id, a.id] = s
+2203
+2204        return _TensorSizes(predetermined, data_dependent)
+2205
+2206    @model_validator(mode="before")
+2207    @classmethod
+2208    def _convert(cls, data: Dict[str, Any]) -> Dict[str, Any]:
+2209        if (
+2210            data.get("type") == "model"
+2211            and isinstance(fv := data.get("format_version"), str)
+2212            and (fv.startswith("0.3.") or fv.startswith("0.4."))
+2213        ):
+2214            m04 = _ModelDescr_v0_4.load(data)
+2215            if not isinstance(m04, InvalidDescr):
+2216                return _model_conv.convert_as_dict(m04)
+2217
+2218        return data
 
@@ -12930,7 +12920,7 @@
Inherited Members
- documentation: Annotated[Union[Annotated[pathlib.Path, PathType(path_type='file'), Predicate(func=<function PurePath.is_absolute at 0x7f46ae045940>)], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl], AfterValidator(func=<function _validate_md_suffix at 0x7f46aab5ade0>), PlainSerializer(func=<function _package at 0x7f46aaa998a0>, return_type=PydanticUndefined, when_used='unless-none'), FieldInfo(annotation=NoneType, required=True, examples=['https://raw.githubusercontent.com/bioimage-io/spec-bioimage-io/main/example_descriptions/models/unet2d_nuclei_broad/README.md', 'README.md'])] + documentation: Annotated[Union[Annotated[pathlib.Path, PathType(path_type='file'), Predicate(func=<function PurePath.is_absolute at 0x7f4545045940>)], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl], AfterValidator(func=<function _validate_md_suffix at 0x7f4541bcade0>), PlainSerializer(func=<function _package at 0x7f4541d118a0>, return_type=PydanticUndefined, when_used='unless-none'), FieldInfo(annotation=NoneType, required=True, examples=['https://raw.githubusercontent.com/bioimage-io/spec-bioimage-io/main/example_descriptions/models/unet2d_nuclei_broad/README.md', 'README.md'])]
@@ -12959,7 +12949,7 @@
Inherited Members
- name: Annotated[str, RestrictCharacters(alphabet='abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789_- ()'), MinLen(min_length=5), MaxLen(max_length=128), AfterWarner(func=<function as_warning.<locals>.wrapper at 0x7f469bea4680>, severity=20, msg='Name longer than 64 characters.', context={'typ': Annotated[Any, MaxLen(max_length=64)]})] + name: Annotated[str, RestrictCharacters(alphabet='abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789_- ()'), MinLen(min_length=5), MaxLen(max_length=128), AfterWarner(func=<function as_warning.<locals>.wrapper at 0x7f4532f7c680>, severity=20, msg='Name longer than 64 characters.', context={'typ': Annotated[Any, MaxLen(max_length=64)]})]
@@ -13015,7 +13005,7 @@
Inherited Members
- run_mode: Annotated[Optional[bioimageio.spec.model.v0_4.RunMode], AfterWarner(func=<function as_warning.<locals>.wrapper at 0x7f469bea6fc0>, severity=30, msg="Run mode '{value}' has limited support across consumer softwares.", context={'typ': None})] + run_mode: Annotated[Optional[bioimageio.spec.model.v0_4.RunMode], AfterWarner(func=<function as_warning.<locals>.wrapper at 0x7f4532f7efc0>, severity=30, msg="Run mode '{value}' has limited support across consumer softwares.", context={'typ': None})]
@@ -13082,10 +13072,10 @@
Inherited Members
-
2145    def get_input_test_arrays(self) -> List[NDArray[Any]]:
-2146        data = [load_array(ipt.test_tensor.download().path) for ipt in self.inputs]
-2147        assert all(isinstance(d, np.ndarray) for d in data)
-2148        return data
+            
2140    def get_input_test_arrays(self) -> List[NDArray[Any]]:
+2141        data = [load_array(ipt.test_tensor.download().path) for ipt in self.inputs]
+2142        assert all(isinstance(d, np.ndarray) for d in data)
+2143        return data
 
@@ -13103,10 +13093,10 @@
Inherited Members
-
2150    def get_output_test_arrays(self) -> List[NDArray[Any]]:
-2151        data = [load_array(out.test_tensor.download().path) for out in self.outputs]
-2152        assert all(isinstance(d, np.ndarray) for d in data)
-2153        return data
+            
2145    def get_output_test_arrays(self) -> List[NDArray[Any]]:
+2146        data = [load_array(out.test_tensor.download().path) for out in self.outputs]
+2147        assert all(isinstance(d, np.ndarray) for d in data)
+2148        return data
 
@@ -13124,61 +13114,61 @@
Inherited Members
-
2155    def get_tensor_sizes(
-2156        self, ns: Dict[Tuple[TensorId, AxisId], ParameterizedSize.N], batch_size: int
-2157    ) -> _TensorSizes:
-2158        all_axes = {
-2159            t.id: {a.id: a for a in t.axes} for t in chain(self.inputs, self.outputs)
-2160        }
-2161
-2162        predetermined: Dict[Tuple[TensorId, AxisId], int] = {}
-2163        data_dependent: Dict[Tuple[TensorId, AxisId], _DataDepSize] = {}
-2164        for t_descr in chain(self.inputs, self.outputs):
-2165            for a in t_descr.axes:
-2166                if isinstance(a, BatchAxis):
-2167                    if (t_descr.id, a.id) in ns:
-2168                        raise ValueError(
-2169                            f"No size increment factor (n) for batch axis of tensor {t_descr.id} expected."
-2170                        )
-2171                    s = batch_size
-2172                elif isinstance(a.size, int):
-2173                    if (t_descr.id, a.id) in ns:
-2174                        raise ValueError(
-2175                            f"No size increment factor (n) for fixed size axis {a.id} of tensor {t_descr.id} expected."
-2176                        )
-2177                    s = a.size
-2178                elif isinstance(a.size, ParameterizedSize):
-2179                    if (t_descr.id, a.id) not in ns:
-2180                        raise ValueError(
-2181                            f"Size increment factor (n) not given for parametrized axis {a.id} of tensor {t_descr.id}."
-2182                        )
-2183                    s = a.size.get_size(ns[(t_descr.id, a.id)])
-2184                elif isinstance(a.size, SizeReference):
-2185                    assert not isinstance(a, BatchAxis)
-2186                    ref_axis = all_axes[a.size.tensor_id][a.size.axis_id]
-2187                    assert not isinstance(ref_axis, BatchAxis)
-2188                    if (a.size.tensor_id, a.size.axis_id) not in ns:
-2189                        raise ValueError(
-2190                            f"No increment (n) provided for axis {a.id} of tensor {t_descr.id}. Expected reference from tensor {a.size.tensor_id} and axis {a.size.axis_id}."
-2191                        )
-2192                    s = a.size.get_size(
-2193                        axis=a, ref_axis=ref_axis, n=ns[(t_descr.id, a.id)]
-2194                    )
-2195                elif isinstance(a.size, DataDependentSize):
-2196                    if (t_descr.id, a.id) in ns:
-2197                        raise ValueError(
-2198                            f"No size increment factor (n) for data dependent size axis {a.id} of tensor {t_descr.id} expected."
-2199                        )
-2200                    data_dependent[t_descr.id, a.id] = _DataDepSize(
-2201                        a.size.min, a.size.max
-2202                    )
-2203                    continue
-2204                else:
-2205                    assert_never(a.size)
-2206
-2207                predetermined[t_descr.id, a.id] = s
-2208
-2209        return _TensorSizes(predetermined, data_dependent)
+            
2150    def get_tensor_sizes(
+2151        self, ns: Dict[Tuple[TensorId, AxisId], ParameterizedSize.N], batch_size: int
+2152    ) -> _TensorSizes:
+2153        all_axes = {
+2154            t.id: {a.id: a for a in t.axes} for t in chain(self.inputs, self.outputs)
+2155        }
+2156
+2157        predetermined: Dict[Tuple[TensorId, AxisId], int] = {}
+2158        data_dependent: Dict[Tuple[TensorId, AxisId], _DataDepSize] = {}
+2159        for t_descr in chain(self.inputs, self.outputs):
+2160            for a in t_descr.axes:
+2161                if isinstance(a, BatchAxis):
+2162                    if (t_descr.id, a.id) in ns:
+2163                        raise ValueError(
+2164                            f"No size increment factor (n) for batch axis of tensor {t_descr.id} expected."
+2165                        )
+2166                    s = batch_size
+2167                elif isinstance(a.size, int):
+2168                    if (t_descr.id, a.id) in ns:
+2169                        raise ValueError(
+2170                            f"No size increment factor (n) for fixed size axis {a.id} of tensor {t_descr.id} expected."
+2171                        )
+2172                    s = a.size
+2173                elif isinstance(a.size, ParameterizedSize):
+2174                    if (t_descr.id, a.id) not in ns:
+2175                        raise ValueError(
+2176                            f"Size increment factor (n) not given for parametrized axis {a.id} of tensor {t_descr.id}."
+2177                        )
+2178                    s = a.size.get_size(ns[(t_descr.id, a.id)])
+2179                elif isinstance(a.size, SizeReference):
+2180                    assert not isinstance(a, BatchAxis)
+2181                    ref_axis = all_axes[a.size.tensor_id][a.size.axis_id]
+2182                    assert not isinstance(ref_axis, BatchAxis)
+2183                    if (a.size.tensor_id, a.size.axis_id) not in ns:
+2184                        raise ValueError(
+2185                            f"No increment (n) provided for axis {a.id} of tensor {t_descr.id}. Expected reference from tensor {a.size.tensor_id} and axis {a.size.axis_id}."
+2186                        )
+2187                    s = a.size.get_size(
+2188                        axis=a, ref_axis=ref_axis, n=ns[(t_descr.id, a.id)]
+2189                    )
+2190                elif isinstance(a.size, DataDependentSize):
+2191                    if (t_descr.id, a.id) in ns:
+2192                        raise ValueError(
+2193                            f"No size increment factor (n) for data dependent size axis {a.id} of tensor {t_descr.id} expected."
+2194                        )
+2195                    data_dependent[t_descr.id, a.id] = _DataDepSize(
+2196                        a.size.min, a.size.max
+2197                    )
+2198                    continue
+2199                else:
+2200                    assert_never(a.size)
+2201
+2202                predetermined[t_descr.id, a.id] = s
+2203
+2204        return _TensorSizes(predetermined, data_dependent)
 
@@ -13226,7 +13216,7 @@
Inherited Members
model_fields = - {'name': FieldInfo(annotation=str, required=True, metadata=[RestrictCharacters(alphabet='abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789_- ()'), MinLen(min_length=5), MaxLen(max_length=128), AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=20, msg='Name longer than 64 characters.', context={'typ': typing.Annotated[typing.Any, MaxLen(max_length=64)]})]), 'description': FieldInfo(annotation=str, required=True, metadata=[MaxLen(max_length=1024), AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=30, msg='Description longer than 512 characters.', context={'typ': typing.Annotated[typing.Any, MaxLen(max_length=512)]})]), 'covers': FieldInfo(annotation=List[Annotated[Union[HttpUrl, Annotated[Path, PathType, Predicate], RelativeFilePath], WithSuffix, PlainSerializer]], required=False, default_factory=list, description="Cover images. Please use an image smaller than 500KB and an aspect ratio width to height of 2:1 or 1:1.\nThe supported image formats are: ('.gif', '.jpeg', '.jpg', '.png', '.svg')", examples=[]), 'id_emoji': FieldInfo(annotation=Union[Annotated[str, Len], NoneType], required=False), 'authors': FieldInfo(annotation=List[Author], required=True, metadata=[MinLen(min_length=1)]), 'attachments': FieldInfo(annotation=List[FileDescr], required=False, default_factory=list), 'cite': FieldInfo(annotation=List[CiteEntry], required=True, metadata=[MinLen(min_length=1)]), 'license': FieldInfo(annotation=Union[LicenseId, DeprecatedLicenseId], required=True, examples=['CC-BY-4.0', 'MIT', 'BSD-2-Clause'], metadata=[AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=30, msg='{value} is deprecated, see https://spdx.org/licenses/{value}.html', context={'typ': <class 'bioimageio.spec._internal.license_id.LicenseId'>})]), 'config': FieldInfo(annotation=Dict[str, YamlValue], required=False, default_factory=dict, examples=[{'bioimageio': {'my_custom_key': 3837283, 'another_key': {'nested': 'value'}}, 'imagej': {'macro_dir': 'path/to/macro/file'}}]), 'git_repo': FieldInfo(annotation=Union[HttpUrl, NoneType], required=False, examples=['https://github.com/bioimage-io/spec-bioimage-io/tree/main/example_descriptions/models/unet2d_nuclei_broad']), 'icon': FieldInfo(annotation=Union[Annotated[Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator, PlainSerializer], Annotated[str, Len], NoneType], required=False), 'links': FieldInfo(annotation=List[str], required=False, default_factory=list, examples=[('ilastik/ilastik', 'deepimagej/deepimagej', 'zero/notebook_u-net_3d_zerocostdl4mic')]), 'uploader': FieldInfo(annotation=Union[Uploader, NoneType], required=False), 'maintainers': FieldInfo(annotation=List[Maintainer], required=False, default_factory=list), 'tags': FieldInfo(annotation=List[str], required=False, default_factory=list, examples=[('unet2d', 'pytorch', 'nucleus', 'segmentation', 'dsb2018')]), 'version': FieldInfo(annotation=Union[Version, NoneType], required=False), 'version_number': FieldInfo(annotation=Union[int, NoneType], required=False), 'format_version': FieldInfo(annotation=Literal['0.5.0'], required=False, default='0.5.0'), 'type': FieldInfo(annotation=Literal['model'], required=False, default='model'), 'id': FieldInfo(annotation=Union[ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]], NoneType], required=False), 'documentation': FieldInfo(annotation=Union[Annotated[Path, PathType, Predicate], RelativeFilePath, HttpUrl], required=True, examples=['https://raw.githubusercontent.com/bioimage-io/spec-bioimage-io/main/example_descriptions/models/unet2d_nuclei_broad/README.md', 'README.md'], metadata=[AfterValidator(func=<function _validate_md_suffix>), PlainSerializer(func=<function _package>, return_type=PydanticUndefined, when_used='unless-none')]), 'inputs': FieldInfo(annotation=Sequence[InputTensorDescr], required=True, metadata=[MinLen(min_length=1)]), 'outputs': FieldInfo(annotation=Sequence[OutputTensorDescr], required=True, metadata=[MinLen(min_length=1)]), 'packaged_by': FieldInfo(annotation=List[Author], required=False, default_factory=list), 'parent': FieldInfo(annotation=Union[LinkedModel, NoneType], required=False), 'run_mode': FieldInfo(annotation=Union[RunMode, NoneType], required=False, metadata=[AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=30, msg="Run mode '{value}' has limited support across consumer softwares.", context={'typ': None})]), 'timestamp': FieldInfo(annotation=Datetime, required=False, default=Datetime(root=datetime.datetime(2024, 3, 20, 20, 44, 5, 703564))), 'training_data': FieldInfo(annotation=Union[LinkedDataset, DatasetDescr, NoneType], required=False), 'weights': FieldInfo(annotation=WeightsDescr, required=True)} + {'name': FieldInfo(annotation=str, required=True, metadata=[RestrictCharacters(alphabet='abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789_- ()'), MinLen(min_length=5), MaxLen(max_length=128), AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=20, msg='Name longer than 64 characters.', context={'typ': typing.Annotated[typing.Any, MaxLen(max_length=64)]})]), 'description': FieldInfo(annotation=str, required=True, metadata=[MaxLen(max_length=1024), AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=30, msg='Description longer than 512 characters.', context={'typ': typing.Annotated[typing.Any, MaxLen(max_length=512)]})]), 'covers': FieldInfo(annotation=List[Annotated[Union[HttpUrl, Annotated[Path, PathType, Predicate], RelativeFilePath], WithSuffix, PlainSerializer]], required=False, default_factory=list, description="Cover images. Please use an image smaller than 500KB and an aspect ratio width to height of 2:1 or 1:1.\nThe supported image formats are: ('.gif', '.jpeg', '.jpg', '.png', '.svg')", examples=[]), 'id_emoji': FieldInfo(annotation=Union[Annotated[str, Len], NoneType], required=False), 'authors': FieldInfo(annotation=List[Author], required=True, metadata=[MinLen(min_length=1)]), 'attachments': FieldInfo(annotation=List[FileDescr], required=False, default_factory=list), 'cite': FieldInfo(annotation=List[CiteEntry], required=True, metadata=[MinLen(min_length=1)]), 'license': FieldInfo(annotation=Union[LicenseId, DeprecatedLicenseId], required=True, examples=['CC-BY-4.0', 'MIT', 'BSD-2-Clause'], metadata=[AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=30, msg='{value} is deprecated, see https://spdx.org/licenses/{value}.html', context={'typ': <class 'bioimageio.spec._internal.license_id.LicenseId'>})]), 'config': FieldInfo(annotation=Dict[str, YamlValue], required=False, default_factory=dict, examples=[{'bioimageio': {'my_custom_key': 3837283, 'another_key': {'nested': 'value'}}, 'imagej': {'macro_dir': 'path/to/macro/file'}}]), 'git_repo': FieldInfo(annotation=Union[HttpUrl, NoneType], required=False, examples=['https://github.com/bioimage-io/spec-bioimage-io/tree/main/example_descriptions/models/unet2d_nuclei_broad']), 'icon': FieldInfo(annotation=Union[Annotated[Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator, PlainSerializer], Annotated[str, Len], NoneType], required=False), 'links': FieldInfo(annotation=List[str], required=False, default_factory=list, examples=[('ilastik/ilastik', 'deepimagej/deepimagej', 'zero/notebook_u-net_3d_zerocostdl4mic')]), 'uploader': FieldInfo(annotation=Union[Uploader, NoneType], required=False), 'maintainers': FieldInfo(annotation=List[Maintainer], required=False, default_factory=list), 'tags': FieldInfo(annotation=List[str], required=False, default_factory=list, examples=[('unet2d', 'pytorch', 'nucleus', 'segmentation', 'dsb2018')]), 'version': FieldInfo(annotation=Union[Version, NoneType], required=False), 'version_number': FieldInfo(annotation=Union[int, NoneType], required=False), 'format_version': FieldInfo(annotation=Literal['0.5.0'], required=False, default='0.5.0'), 'type': FieldInfo(annotation=Literal['model'], required=False, default='model'), 'id': FieldInfo(annotation=Union[ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]], NoneType], required=False), 'documentation': FieldInfo(annotation=Union[Annotated[Path, PathType, Predicate], RelativeFilePath, HttpUrl], required=True, examples=['https://raw.githubusercontent.com/bioimage-io/spec-bioimage-io/main/example_descriptions/models/unet2d_nuclei_broad/README.md', 'README.md'], metadata=[AfterValidator(func=<function _validate_md_suffix>), PlainSerializer(func=<function _package>, return_type=PydanticUndefined, when_used='unless-none')]), 'inputs': FieldInfo(annotation=Sequence[InputTensorDescr], required=True, metadata=[MinLen(min_length=1)]), 'outputs': FieldInfo(annotation=Sequence[OutputTensorDescr], required=True, metadata=[MinLen(min_length=1)]), 'packaged_by': FieldInfo(annotation=List[Author], required=False, default_factory=list), 'parent': FieldInfo(annotation=Union[LinkedModel, NoneType], required=False), 'run_mode': FieldInfo(annotation=Union[RunMode, NoneType], required=False, metadata=[AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=30, msg="Run mode '{value}' has limited support across consumer softwares.", context={'typ': None})]), 'timestamp': FieldInfo(annotation=Datetime, required=False, default=Datetime(root=datetime.datetime(2024, 3, 20, 20, 44, 50, 440653))), 'training_data': FieldInfo(annotation=Union[LinkedDataset, DatasetDescr, NoneType], required=False), 'weights': FieldInfo(annotation=WeightsDescr, required=True)}
@@ -13327,185 +13317,185 @@
Inherited Members
-
2411def generate_covers(
-2412    inputs: Sequence[Tuple[InputTensorDescr, NDArray[Any]]],
-2413    outputs: Sequence[Tuple[OutputTensorDescr, NDArray[Any]]],
-2414) -> List[Path]:
-2415    def squeeze(
-2416        data: NDArray[Any], axes: Sequence[AnyAxis]
-2417    ) -> Tuple[NDArray[Any], List[AnyAxis]]:
-2418        """apply numpy.ndarray.squeeze while keeping track of the axis descriptions remaining"""
-2419        if data.ndim != len(axes):
-2420            raise ValueError(
-2421                f"tensor shape {data.shape} does not match described axes"
-2422                + f" {[a.id for a in axes]}"
-2423            )
-2424
-2425        axes = [deepcopy(a) for a, s in zip(axes, data.shape) if s != 1]
-2426        return data.squeeze(), axes
-2427
-2428    def normalize(
-2429        data: NDArray[Any], axis: Optional[Tuple[int, ...]], eps: float = 1e-7
-2430    ) -> NDArray[np.float32]:
-2431        data = data.astype("float32")
-2432        data -= data.min(axis=axis, keepdims=True)
-2433        data /= data.max(axis=axis, keepdims=True) + eps
-2434        return data
-2435
-2436    def to_2d_image(data: NDArray[Any], axes: Sequence[AnyAxis]):
-2437        original_shape = data.shape
-2438        data, axes = squeeze(data, axes)
-2439
-2440        # take slice fom any batch or index axis if needed
-2441        # and convert the first channel axis and take a slice from any additional channel axes
-2442        slices: Tuple[slice, ...] = ()
-2443        ndim = data.ndim
-2444        ndim_need = 3 if any(isinstance(a, ChannelAxis) for a in axes) else 2
-2445        has_c_axis = False
-2446        for i, a in enumerate(axes):
-2447            s = data.shape[i]
-2448            assert s > 1
-2449            if (
-2450                isinstance(a, (BatchAxis, IndexInputAxis, IndexOutputAxis))
-2451                and ndim > ndim_need
-2452            ):
-2453                data = data[slices + (slice(s // 2 - 1, s // 2),)]
-2454                ndim -= 1
-2455            elif isinstance(a, ChannelAxis):
-2456                if has_c_axis:
-2457                    # second channel axis
-2458                    data = data[slices + (slice(0, 1),)]
-2459                    ndim -= 1
-2460                else:
-2461                    has_c_axis = True
-2462                    if s == 2:
-2463                        # visualize two channels with cyan and magenta
-2464                        data = np.concatenate(
-2465                            [
-2466                                data[slices + (slice(1, 2),)],
-2467                                data[slices + (slice(0, 1),)],
-2468                                (
-2469                                    data[slices + (slice(0, 1),)]
-2470                                    + data[slices + (slice(1, 2),)]
-2471                                )
-2472                                / 2,  # TODO: take maximum instead?
-2473                            ],
-2474                            axis=i,
-2475                        )
-2476                    elif data.shape[i] == 3:
-2477                        pass  # visualize 3 channels as RGB
-2478                    else:
-2479                        # visualize first 3 channels as RGB
-2480                        data = data[slices + (slice(3),)]
-2481
-2482                    assert data.shape[i] == 3
-2483
-2484            slices += (slice(None),)  # type: ignore
-2485
-2486        data, axes = squeeze(data, axes)
-2487        assert len(axes) == ndim
-2488        # take slice from z axis if needed
-2489        slices = ()
-2490        if ndim > ndim_need:
-2491            for i, a in enumerate(axes):
-2492                s = data.shape[i]
-2493                if a.id == AxisId("z"):
-2494                    data = data[slices + (slice(s // 2 - 1, s // 2),)]
-2495                    data, axes = squeeze(data, axes)
-2496                    ndim -= 1
-2497                    break
+            
2406def generate_covers(
+2407    inputs: Sequence[Tuple[InputTensorDescr, NDArray[Any]]],
+2408    outputs: Sequence[Tuple[OutputTensorDescr, NDArray[Any]]],
+2409) -> List[Path]:
+2410    def squeeze(
+2411        data: NDArray[Any], axes: Sequence[AnyAxis]
+2412    ) -> Tuple[NDArray[Any], List[AnyAxis]]:
+2413        """apply numpy.ndarray.squeeze while keeping track of the axis descriptions remaining"""
+2414        if data.ndim != len(axes):
+2415            raise ValueError(
+2416                f"tensor shape {data.shape} does not match described axes"
+2417                + f" {[a.id for a in axes]}"
+2418            )
+2419
+2420        axes = [deepcopy(a) for a, s in zip(axes, data.shape) if s != 1]
+2421        return data.squeeze(), axes
+2422
+2423    def normalize(
+2424        data: NDArray[Any], axis: Optional[Tuple[int, ...]], eps: float = 1e-7
+2425    ) -> NDArray[np.float32]:
+2426        data = data.astype("float32")
+2427        data -= data.min(axis=axis, keepdims=True)
+2428        data /= data.max(axis=axis, keepdims=True) + eps
+2429        return data
+2430
+2431    def to_2d_image(data: NDArray[Any], axes: Sequence[AnyAxis]):
+2432        original_shape = data.shape
+2433        data, axes = squeeze(data, axes)
+2434
+2435        # take slice fom any batch or index axis if needed
+2436        # and convert the first channel axis and take a slice from any additional channel axes
+2437        slices: Tuple[slice, ...] = ()
+2438        ndim = data.ndim
+2439        ndim_need = 3 if any(isinstance(a, ChannelAxis) for a in axes) else 2
+2440        has_c_axis = False
+2441        for i, a in enumerate(axes):
+2442            s = data.shape[i]
+2443            assert s > 1
+2444            if (
+2445                isinstance(a, (BatchAxis, IndexInputAxis, IndexOutputAxis))
+2446                and ndim > ndim_need
+2447            ):
+2448                data = data[slices + (slice(s // 2 - 1, s // 2),)]
+2449                ndim -= 1
+2450            elif isinstance(a, ChannelAxis):
+2451                if has_c_axis:
+2452                    # second channel axis
+2453                    data = data[slices + (slice(0, 1),)]
+2454                    ndim -= 1
+2455                else:
+2456                    has_c_axis = True
+2457                    if s == 2:
+2458                        # visualize two channels with cyan and magenta
+2459                        data = np.concatenate(
+2460                            [
+2461                                data[slices + (slice(1, 2),)],
+2462                                data[slices + (slice(0, 1),)],
+2463                                (
+2464                                    data[slices + (slice(0, 1),)]
+2465                                    + data[slices + (slice(1, 2),)]
+2466                                )
+2467                                / 2,  # TODO: take maximum instead?
+2468                            ],
+2469                            axis=i,
+2470                        )
+2471                    elif data.shape[i] == 3:
+2472                        pass  # visualize 3 channels as RGB
+2473                    else:
+2474                        # visualize first 3 channels as RGB
+2475                        data = data[slices + (slice(3),)]
+2476
+2477                    assert data.shape[i] == 3
+2478
+2479            slices += (slice(None),)  # type: ignore
+2480
+2481        data, axes = squeeze(data, axes)
+2482        assert len(axes) == ndim
+2483        # take slice from z axis if needed
+2484        slices = ()
+2485        if ndim > ndim_need:
+2486            for i, a in enumerate(axes):
+2487                s = data.shape[i]
+2488                if a.id == AxisId("z"):
+2489                    data = data[slices + (slice(s // 2 - 1, s // 2),)]
+2490                    data, axes = squeeze(data, axes)
+2491                    ndim -= 1
+2492                    break
+2493
+2494            slices += (slice(None),)
+2495
+2496        # take slice from any space or time axis
+2497        slices = ()
 2498
-2499            slices += (slice(None),)
-2500
-2501        # take slice from any space or time axis
-2502        slices = ()
-2503
-2504        for i, a in enumerate(axes):
-2505            if ndim <= ndim_need:
-2506                break
-2507
-2508            s = data.shape[i]
-2509            assert s > 1
-2510            if isinstance(
-2511                a, (SpaceInputAxis, SpaceOutputAxis, TimeInputAxis, TimeOutputAxis)
-2512            ):
-2513                data = data[slices + (slice(s // 2 - 1, s // 2),)]
-2514                ndim -= 1
-2515
-2516            slices += (slice(None),)  # type: ignore
-2517
-2518        del slices
-2519        data, axes = squeeze(data, axes)
-2520        assert len(axes) == ndim
+2499        for i, a in enumerate(axes):
+2500            if ndim <= ndim_need:
+2501                break
+2502
+2503            s = data.shape[i]
+2504            assert s > 1
+2505            if isinstance(
+2506                a, (SpaceInputAxis, SpaceOutputAxis, TimeInputAxis, TimeOutputAxis)
+2507            ):
+2508                data = data[slices + (slice(s // 2 - 1, s // 2),)]
+2509                ndim -= 1
+2510
+2511            slices += (slice(None),)  # type: ignore
+2512
+2513        del slices
+2514        data, axes = squeeze(data, axes)
+2515        assert len(axes) == ndim
+2516
+2517        if (has_c_axis and ndim != 3) or ndim != 2:
+2518            raise ValueError(
+2519                f"Failed to construct cover image from shape {original_shape}"
+2520            )
 2521
-2522        if (has_c_axis and ndim != 3) or ndim != 2:
-2523            raise ValueError(
-2524                f"Failed to construct cover image from shape {original_shape}"
-2525            )
-2526
-2527        if not has_c_axis:
-2528            assert ndim == 2
-2529            data = np.repeat(data[:, :, None], 3, axis=2)
-2530            axes.append(ChannelAxis(channel_names=list(map(Identifier, "RGB"))))
-2531            ndim += 1
-2532
-2533        assert ndim == 3
-2534
-2535        # transpose axis order such that longest axis comes first...
-2536        axis_order = list(np.argsort(list(data.shape)))
-2537        axis_order.reverse()
-2538        # ... and channel axis is last
-2539        c = [i for i in range(3) if isinstance(axes[i], ChannelAxis)][0]
-2540        axis_order.append(axis_order.pop(c))
-2541        axes = [axes[ao] for ao in axis_order]
-2542        data = data.transpose(axis_order)
-2543
-2544        # h, w = data.shape[:2]
-2545        # if h / w  in (1.0 or 2.0):
-2546        #     pass
-2547        # elif h / w < 2:
-2548        # TODO: enforce 2:1 or 1:1 aspect ratio for generated cover images
-2549
-2550        norm_along = (
-2551            tuple(i for i, a in enumerate(axes) if a.type in ("space", "time")) or None
-2552        )
-2553        # normalize the data and map to 8 bit
-2554        data = normalize(data, norm_along)
-2555        data = (data * 255).astype("uint8")
-2556
-2557        return data
-2558
-2559    def create_diagonal_split_image(im0: NDArray[Any], im1: NDArray[Any]):
-2560        assert im0.dtype == im1.dtype == np.uint8
-2561        assert im0.shape == im1.shape
-2562        assert im0.ndim == 3
-2563        N, M, C = im0.shape
-2564        assert C == 3
-2565        out = np.ones((N, M, C), dtype="uint8")
-2566        for c in range(C):
-2567            outc = np.tril(im0[..., c])
-2568            mask = outc == 0
-2569            outc[mask] = np.triu(im1[..., c])[mask]
-2570            out[..., c] = outc
+2522        if not has_c_axis:
+2523            assert ndim == 2
+2524            data = np.repeat(data[:, :, None], 3, axis=2)
+2525            axes.append(ChannelAxis(channel_names=list(map(Identifier, "RGB"))))
+2526            ndim += 1
+2527
+2528        assert ndim == 3
+2529
+2530        # transpose axis order such that longest axis comes first...
+2531        axis_order = list(np.argsort(list(data.shape)))
+2532        axis_order.reverse()
+2533        # ... and channel axis is last
+2534        c = [i for i in range(3) if isinstance(axes[i], ChannelAxis)][0]
+2535        axis_order.append(axis_order.pop(c))
+2536        axes = [axes[ao] for ao in axis_order]
+2537        data = data.transpose(axis_order)
+2538
+2539        # h, w = data.shape[:2]
+2540        # if h / w  in (1.0 or 2.0):
+2541        #     pass
+2542        # elif h / w < 2:
+2543        # TODO: enforce 2:1 or 1:1 aspect ratio for generated cover images
+2544
+2545        norm_along = (
+2546            tuple(i for i, a in enumerate(axes) if a.type in ("space", "time")) or None
+2547        )
+2548        # normalize the data and map to 8 bit
+2549        data = normalize(data, norm_along)
+2550        data = (data * 255).astype("uint8")
+2551
+2552        return data
+2553
+2554    def create_diagonal_split_image(im0: NDArray[Any], im1: NDArray[Any]):
+2555        assert im0.dtype == im1.dtype == np.uint8
+2556        assert im0.shape == im1.shape
+2557        assert im0.ndim == 3
+2558        N, M, C = im0.shape
+2559        assert C == 3
+2560        out = np.ones((N, M, C), dtype="uint8")
+2561        for c in range(C):
+2562            outc = np.tril(im0[..., c])
+2563            mask = outc == 0
+2564            outc[mask] = np.triu(im1[..., c])[mask]
+2565            out[..., c] = outc
+2566
+2567        return out
+2568
+2569    ipt_descr, ipt = inputs[0]
+2570    out_descr, out = outputs[0]
 2571
-2572        return out
-2573
-2574    ipt_descr, ipt = inputs[0]
-2575    out_descr, out = outputs[0]
-2576
-2577    ipt_img = to_2d_image(ipt, ipt_descr.axes)
-2578    out_img = to_2d_image(out, out_descr.axes)
-2579
-2580    cover_folder = Path(mkdtemp())
-2581    if ipt_img.shape == out_img.shape:
-2582        covers = [cover_folder / "cover.png"]
-2583        imageio.imwrite(covers[0], create_diagonal_split_image(ipt_img, out_img))
-2584    else:
-2585        covers = [cover_folder / "input.png", cover_folder / "output.png"]
-2586        imageio.imwrite(covers[0], ipt_img)
-2587        imageio.imwrite(covers[1], out_img)
-2588
-2589    return covers
+2572    ipt_img = to_2d_image(ipt, ipt_descr.axes)
+2573    out_img = to_2d_image(out, out_descr.axes)
+2574
+2575    cover_folder = Path(mkdtemp())
+2576    if ipt_img.shape == out_img.shape:
+2577        covers = [cover_folder / "cover.png"]
+2578        imageio.imwrite(covers[0], create_diagonal_split_image(ipt_img, out_img))
+2579    else:
+2580        covers = [cover_folder / "input.png", cover_folder / "output.png"]
+2581        imageio.imwrite(covers[0], ipt_img)
+2582        imageio.imwrite(covers[1], out_img)
+2583
+2584    return covers
 
diff --git a/bioimageio/spec/notebook/v0_2.html b/bioimageio/spec/notebook/v0_2.html index 0646ccb07..345616bc1 100644 --- a/bioimageio/spec/notebook/v0_2.html +++ b/bioimageio/spec/notebook/v0_2.html @@ -227,7 +227,7 @@

- source: Union[Annotated[bioimageio.spec._internal.url.HttpUrl, WithSuffix(suffix='.ipynb', case_sensitive=True)], Annotated[pathlib.Path, PathType(path_type='file'), Predicate(func=<function PurePath.is_absolute at 0x7f46ae045940>), WithSuffix(suffix='.ipynb', case_sensitive=True)], Annotated[bioimageio.spec._internal.io.RelativeFilePath, WithSuffix(suffix='.ipynb', case_sensitive=True)]] + source: Union[Annotated[bioimageio.spec._internal.url.HttpUrl, WithSuffix(suffix='.ipynb', case_sensitive=True)], Annotated[pathlib.Path, PathType(path_type='file'), Predicate(func=<function PurePath.is_absolute at 0x7f4545045940>), WithSuffix(suffix='.ipynb', case_sensitive=True)], Annotated[bioimageio.spec._internal.io.RelativeFilePath, WithSuffix(suffix='.ipynb', case_sensitive=True)]]
diff --git a/bioimageio/spec/notebook/v0_3.html b/bioimageio/spec/notebook/v0_3.html index 364bb0f4e..154468b10 100644 --- a/bioimageio/spec/notebook/v0_3.html +++ b/bioimageio/spec/notebook/v0_3.html @@ -225,7 +225,7 @@

- source: Union[Annotated[bioimageio.spec._internal.url.HttpUrl, WithSuffix(suffix='.ipynb', case_sensitive=True)], Annotated[pathlib.Path, PathType(path_type='file'), Predicate(func=<function PurePath.is_absolute at 0x7f46ae045940>), WithSuffix(suffix='.ipynb', case_sensitive=True)], Annotated[bioimageio.spec._internal.io.RelativeFilePath, WithSuffix(suffix='.ipynb', case_sensitive=True)]] + source: Union[Annotated[bioimageio.spec._internal.url.HttpUrl, WithSuffix(suffix='.ipynb', case_sensitive=True)], Annotated[pathlib.Path, PathType(path_type='file'), Predicate(func=<function PurePath.is_absolute at 0x7f4545045940>), WithSuffix(suffix='.ipynb', case_sensitive=True)], Annotated[bioimageio.spec._internal.io.RelativeFilePath, WithSuffix(suffix='.ipynb', case_sensitive=True)]]
diff --git a/bioimageio_schema_latest.json b/bioimageio_schema_latest.json index 2624df2f0..fd815d96a 100644 --- a/bioimageio_schema_latest.json +++ b/bioimageio_schema_latest.json @@ -6954,7 +6954,7 @@ "$ref": "#/$defs/Datetime" } ], - "default": "2024-03-20T20:44:03.525099" + "default": "2024-03-20T20:44:48.164037" }, "training_data": { "anyOf": [ diff --git a/bioimageio_schema_v0-5-0post2.json b/bioimageio_schema_v0-5-0post2.json index 2624df2f0..fd815d96a 100644 --- a/bioimageio_schema_v0-5-0post2.json +++ b/bioimageio_schema_v0-5-0post2.json @@ -6954,7 +6954,7 @@ "$ref": "#/$defs/Datetime" } ], - "default": "2024-03-20T20:44:03.525099" + "default": "2024-03-20T20:44:48.164037" }, "training_data": { "anyOf": [ diff --git a/search.js b/search.js index cdb1f748a..921a9633a 100644 --- a/search.js +++ b/search.js @@ -1,6 +1,6 @@ window.pdocSearch = (function(){ /** elasticlunr - http://weixsong.github.io * Copyright (C) 2017 Oliver Nightingale * Copyright (C) 2017 Wei Song * MIT Licensed */!function(){function e(e){if(null===e||"object"!=typeof e)return e;var t=e.constructor();for(var n in e)e.hasOwnProperty(n)&&(t[n]=e[n]);return t}var t=function(e){var n=new t.Index;return n.pipeline.add(t.trimmer,t.stopWordFilter,t.stemmer),e&&e.call(n,n),n};t.version="0.9.5",lunr=t,t.utils={},t.utils.warn=function(e){return function(t){e.console&&console.warn&&console.warn(t)}}(this),t.utils.toString=function(e){return void 0===e||null===e?"":e.toString()},t.EventEmitter=function(){this.events={}},t.EventEmitter.prototype.addListener=function(){var e=Array.prototype.slice.call(arguments),t=e.pop(),n=e;if("function"!=typeof t)throw new TypeError("last argument must be a function");n.forEach(function(e){this.hasHandler(e)||(this.events[e]=[]),this.events[e].push(t)},this)},t.EventEmitter.prototype.removeListener=function(e,t){if(this.hasHandler(e)){var n=this.events[e].indexOf(t);-1!==n&&(this.events[e].splice(n,1),0==this.events[e].length&&delete this.events[e])}},t.EventEmitter.prototype.emit=function(e){if(this.hasHandler(e)){var t=Array.prototype.slice.call(arguments,1);this.events[e].forEach(function(e){e.apply(void 0,t)},this)}},t.EventEmitter.prototype.hasHandler=function(e){return e in this.events},t.tokenizer=function(e){if(!arguments.length||null===e||void 0===e)return[];if(Array.isArray(e)){var n=e.filter(function(e){return null===e||void 0===e?!1:!0});n=n.map(function(e){return t.utils.toString(e).toLowerCase()});var i=[];return n.forEach(function(e){var n=e.split(t.tokenizer.seperator);i=i.concat(n)},this),i}return e.toString().trim().toLowerCase().split(t.tokenizer.seperator)},t.tokenizer.defaultSeperator=/[\s\-]+/,t.tokenizer.seperator=t.tokenizer.defaultSeperator,t.tokenizer.setSeperator=function(e){null!==e&&void 0!==e&&"object"==typeof e&&(t.tokenizer.seperator=e)},t.tokenizer.resetSeperator=function(){t.tokenizer.seperator=t.tokenizer.defaultSeperator},t.tokenizer.getSeperator=function(){return t.tokenizer.seperator},t.Pipeline=function(){this._queue=[]},t.Pipeline.registeredFunctions={},t.Pipeline.registerFunction=function(e,n){n in t.Pipeline.registeredFunctions&&t.utils.warn("Overwriting existing registered function: "+n),e.label=n,t.Pipeline.registeredFunctions[n]=e},t.Pipeline.getRegisteredFunction=function(e){return e in t.Pipeline.registeredFunctions!=!0?null:t.Pipeline.registeredFunctions[e]},t.Pipeline.warnIfFunctionNotRegistered=function(e){var n=e.label&&e.label in this.registeredFunctions;n||t.utils.warn("Function is not registered with pipeline. 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u=r[s];u=Math.sqrt(u),this.index[n].addToken(s,{ref:i,tf:u})}},this),n&&this.eventEmitter.emit("add",e,this)}},t.Index.prototype.removeDocByRef=function(e){if(e&&this.documentStore.isDocStored()!==!1&&this.documentStore.hasDoc(e)){var t=this.documentStore.getDoc(e);this.removeDoc(t,!1)}},t.Index.prototype.removeDoc=function(e,n){if(e){var n=void 0===n?!0:n,i=e[this._ref];this.documentStore.hasDoc(i)&&(this.documentStore.removeDoc(i),this._fields.forEach(function(n){var o=this.pipeline.run(t.tokenizer(e[n]));o.forEach(function(e){this.index[n].removeToken(e,i)},this)},this),n&&this.eventEmitter.emit("remove",e,this))}},t.Index.prototype.updateDoc=function(e,t){var t=void 0===t?!0:t;this.removeDocByRef(e[this._ref],!1),this.addDoc(e,!1),t&&this.eventEmitter.emit("update",e,this)},t.Index.prototype.idf=function(e,t){var n="@"+t+"/"+e;if(Object.prototype.hasOwnProperty.call(this._idfCache,n))return this._idfCache[n];var i=this.index[t].getDocFreq(e),o=1+Math.log(this.documentStore.length/(i+1));return this._idfCache[n]=o,o},t.Index.prototype.getFields=function(){return this._fields.slice()},t.Index.prototype.search=function(e,n){if(!e)return[];e="string"==typeof e?{any:e}:JSON.parse(JSON.stringify(e));var i=null;null!=n&&(i=JSON.stringify(n));for(var o=new t.Configuration(i,this.getFields()).get(),r={},s=Object.keys(e),u=0;u0&&t.push(e);for(var i in n)"docs"!==i&&"df"!==i&&this.expandToken(e+i,t,n[i]);return t},t.InvertedIndex.prototype.toJSON=function(){return{root:this.root}},t.Configuration=function(e,n){var e=e||"";if(void 0==n||null==n)throw new Error("fields should not be null");this.config={};var i;try{i=JSON.parse(e),this.buildUserConfig(i,n)}catch(o){t.utils.warn("user configuration parse failed, will use default configuration"),this.buildDefaultConfig(n)}},t.Configuration.prototype.buildDefaultConfig=function(e){this.reset(),e.forEach(function(e){this.config[e]={boost:1,bool:"OR",expand:!1}},this)},t.Configuration.prototype.buildUserConfig=function(e,n){var i="OR",o=!1;if(this.reset(),"bool"in e&&(i=e.bool||i),"expand"in e&&(o=e.expand||o),"fields"in e)for(var r in e.fields)if(n.indexOf(r)>-1){var s=e.fields[r],u=o;void 0!=s.expand&&(u=s.expand),this.config[r]={boost:s.boost||0===s.boost?s.boost:1,bool:s.bool||i,expand:u}}else t.utils.warn("field name in user configuration not found in index instance fields");else this.addAllFields2UserConfig(i,o,n)},t.Configuration.prototype.addAllFields2UserConfig=function(e,t,n){n.forEach(function(n){this.config[n]={boost:1,bool:e,expand:t}},this)},t.Configuration.prototype.get=function(){return 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e.elements=this.toArray(),e.length=e.elements.length,e},lunr.SortedSet.prototype.union=function(e){var t,n,i;this.length>=e.length?(t=this,n=e):(t=e,n=this),i=t.clone();for(var o=0,r=n.toArray();o\"License\"\n\"PyPI\"\n\"conda-version\"

\n\n

Specifications for bioimage.io

\n\n

This repository contains specifications defined by the bioimage.io community. These specifications are used for defining fields in YAML 1.2 files which should be named rdf.yaml. Such a rdf.yaml --- along with files referenced in it --- can be downloaded from or uploaded to the bioimage.io website and may be produced or consumed by bioimage.io-compatible consumers (e.g. image analysis software like ilastik).

\n\n

bioimage.io-compatible resources must fulfill the following rules:

\n\n

Note that the Python package PyYAML does not support YAML 1.2 .\nWe therefore use and recommend ruyaml.\nFor differences see https://ruamelyaml.readthedocs.io/en/latest/pyyaml.

\n\n

Please also note that the best way to check whether your rdf.yaml file is bioimage.io-compliant is to call bioimageio.core.validate from the bioimageio.core Python package.\nThe bioimageio.core Python package also provides the bioimageio command line interface (CLI) with the validate command:

\n\n
bioimageio validate path/to/your/rdf.yaml\n
\n\n

Format version overview

\n\n

All bioimage.io description formats are defined as Pydantic models.

\n\n\n\n\n \n \n \n\n\n\n\n \n \n \n\n\n \n \n \n\n\n \n \n \n\n\n \n \n \n\n\n \n \n \n\n\n \n \n \n\n\n
typeformat versiondocumentation
model0.5
0.4
model_descr_v0-5.md
model_descr_v0-4.md
dataset0.3
0.2
dataset_descr_v0-3.md
dataset_descr_v0-2.md
notebook0.3
0.2
notebook_descr_v0-3.md
notebook_descr_v0-2.md
application0.3
0.2
application_descr_v0-3.md
application_descr_v0-2.md
collection0.3
0.2
collection_descr_v0-3.md
collection_descr_v0-2.md
generic0.3
0.2
generic_descr_v0-3.md
generic_descr_v0-2.md
\n\n

JSON schema

\n\n

Simplified descriptions are available as JSON schema:

\n\n\n\n\n \n \n\n\n\n\n \n \n\n\n \n \n\n\n
bioimageio.spec versionJSON schema
latestbioimageio_schema_latest.json
0.5bioimageio_schema_v0-5.json
\n\n

These are primarily intended for syntax highlighting and form generation.

\n\n

Examples

\n\n

We provide some examples for using rdf.yaml files to describe models, applications, notebooks and datasets.

\n\n

\ud83d\udc81 Recommendations

\n\n
    \n
  • Due to the limitations of storage services such as Zenodo, which does not support subfolders, it is recommended to place other files in the same directory level of the rdf.yaml file and try to avoid using subdirectories.
  • \n
  • Use the bioimageio.core Python package to validate your rdf.yaml file.
  • \n
  • bioimageio.spec keeps evolving. Try to use and upgrade to the most current format version!
  • \n
\n\n

\u2328 bioimageio command-line interface (CLI)

\n\n

The bioimageio CLI has moved entirely to bioimageio.core.

\n\n

\ud83d\udda5 Installation

\n\n

bioimageio.spec can be installed with either conda or pip, we recommend to install bioimageio.core instead:

\n\n
\n
conda install -c conda-forge bioimageio.core\n
\n
\n\n

or

\n\n
\n
pip install -U bioimageio.core\n
\n
\n\n

\ud83e\udd1d How to contribute

\n\n

\u2665 Contributors

\n\n

\n \"bioimageio.spec\n

\n\n

Made with contrib.rocks.

\n\n

\u0394 Changelog

\n\n

bioimageio.spec Python package

\n\n

bioimageio.spec 0.5.0post2

\n\n
    \n
  • don't fail if CI env var is a string
  • \n
\n\n

bioimageio.spec 0.5.0post1

\n\n
    \n
  • fix _internal.io_utils.identify_bioimageio_yaml_file()
  • \n
\n\n

bioimageio.spec 0.5.0

\n\n
    \n
  • new description formats: generic 0.3, application 0.3, collection 0.3, dataset 0.3, notebook 0.3 and model 0.5.
  • \n
  • various API changes, most important functions:\n
      \n
    • bioimageio.spec.load_description (replaces load_raw_resource_description, interface changed)
    • \n
    • bioimageio.spec.validate_format (new)
    • \n
    • bioimageio.spec.dump_description (replaces serialize_raw_resource_description_to_dict, interface changed)
    • \n
    • bioimageio.spec.update_format (interface changed)
    • \n
  • \n
  • switch from Marshmallow to Pydantic\n
      \n
    • extended validation
    • \n
    • one joint, more precise JSON schema
    • \n
  • \n
\n\n

bioimageio.spec 0.4.9

\n\n
    \n
  • small bugixes
  • \n
  • better type hints
  • \n
  • improved tests
  • \n
\n\n

bioimageio.spec 0.4.8post1

\n\n
    \n
  • add axes and eps to scale_mean_var
  • \n
\n\n

bioimageio.spec 0.4.7post1

\n\n
    \n
  • add simple forward compatibility by treating future format versions as latest known (for the respective resource type)
  • \n
\n\n

bioimageio.spec 0.4.6post3

\n\n
    \n
  • Make CLI output more readable

  • \n
  • find redirected URLs when checking for URL availability

  • \n
\n\n

bioimageio.spec 0.4.6post2

\n\n
    \n
  • Improve error message for non-existing RDF file path given as string

  • \n
  • Improve documentation for model description's documentation field

  • \n
\n\n

bioimageio.spec 0.4.6post1

\n\n\n\n

bioimageio.spec 0.4.5post16

\n\n
    \n
  • fix rdf_update of entries in resolve_collection_entries()
  • \n
\n\n

bioimageio.spec 0.4.5post15

\n\n
    \n
  • pass root to enrich_partial_rdf arg of resolve_collection_entries()
  • \n
\n\n

bioimageio.spec 0.4.5post14

\n\n
    \n
  • keep ResourceDescrption.root_path as URI for remote resources. This fixes the collection description as the collection entries are resolved after the collection description has been loaded.
  • \n
\n\n

bioimageio.spec 0.4.5post13

\n\n
    \n
  • new bioimageio.spec.partner module adding validate-partner-collection command if optional 'lxml' dependency is available
  • \n
\n\n

bioimageio.spec 0.4.5post12

\n\n
    \n
  • new env var BIOIMAGEIO_CACHE_WARNINGS_LIMIT (default: 3) to avoid spam from cache hit warnings

  • \n
  • more robust conversion of ImportableSourceFile for absolute paths to relative paths (don't fail on non-path source file)

  • \n
\n\n

bioimageio.spec 0.4.5post11

\n\n
    \n
  • resolve symlinks when transforming absolute to relative paths during serialization; see #438
  • \n
\n\n

bioimageio.spec 0.4.5post10

\n\n
    \n
  • fix loading of collection description with id (id used to be ignored)
  • \n
\n\n

bioimageio.spec 0.4.5post9

\n\n
    \n
  • support loading bioimageio resources by their animal nickname (currently only models have nicknames).
  • \n
\n\n

bioimageio.spec 0.4.5post8

\n\n
    \n
  • any field previously expecting a local relative path is now also accepting an absolute path

  • \n
  • load_raw_resource_description returns a raw resource description which has no relative paths (any relative paths are converted to absolute paths).

  • \n
\n\n

bioimageio.spec 0.4.4post7

\n\n
    \n
  • add command commands.update_rdf()/update-rdf(cli)
  • \n
\n\n

bioimageio.spec 0.4.4post2

\n\n
    \n
  • fix unresolved ImportableSourceFile
  • \n
\n\n

bioimageio.spec 0.4.4post1

\n\n
    \n
  • fix collection description conversion for type field
  • \n
\n\n

bioimageio.spec 0.4.3post1

\n\n
    \n
  • fix to shape validation for model description 0.4: output shape now needs to be bigger than halo

  • \n
  • moved objects from bioimageio.spec.shared.utils to bioimageio.spec.shared[.node_transformer]

  • \n
  • additional keys to validation summary: bioimageio_spec_version, status
  • \n
\n\n

bioimageio.spec 0.4.2post4

\n\n
    \n
  • fixes to generic description:\n
      \n
    • ignore value of field root_path if present in yaml. This field is used internally and always present in RDF nodes.
    • \n
  • \n
\n\n

bioimageio.spec 0.4.1.post5

\n\n
    \n
  • fixes to collection description:\n
      \n
    • RDFs specified directly in collection description are validated correctly even if their source field does not point to an RDF.
    • \n
    • nesting of collection description allowed
    • \n
  • \n
\n\n

bioimageio.spec 0.4.1.post4

\n\n
    \n
  • fixed missing field icon in generic description's raw node

  • \n
  • fixes to collection description:

    \n\n
      \n
    • RDFs specified directly in collection description are validated correctly
    • \n
    • no nesting of collection description allowed for now
    • \n
    • links is no longer an explicit collection entry field (\"moved\" to unknown)
    • \n
  • \n
\n\n

bioimageio.spec 0.4.1.post0

\n\n
    \n
  • new model spec 0.3.5 and 0.4.1
  • \n
\n\n

bioimageio.spec 0.4.0.post3

\n\n
    \n
  • load_raw_resource_description no longer accepts update_to_current_format kwarg (use update_to_format instead)
  • \n
\n\n

bioimageio.spec 0.4.0.post2

\n\n
    \n
  • load_raw_resource_description accepts update_to_format kwarg
  • \n
\n\n

Resource Description Format Versions

\n\n

model 0.5.1 (planned)

\n\n
    \n
  • Non-breaking changes\n
      \n
    • added DataDependentSize for outputs.i.size to specify an output shape that is not known before inference is run.
    • \n
    • added optional inputs.i.optional field to indicate that a tensor may be None
    • \n
  • \n
\n\n

generic 0.3.0 / application 0.3.0 / collection 0.3.0 / dataset 0.3.0 / notebook 0.3.0

\n\n
    \n
  • Breaking canges that are fully auto-convertible\n
      \n
    • dropped download_url
    • \n
    • dropped non-file attachments
    • \n
    • attachments.files moved to attachments.i.source
    • \n
  • \n
  • Non-breaking changes\n
      \n
    • added optional parent field
    • \n
  • \n
\n\n

model 0.5.0

\n\n

all generic 0.3.0 changes (except models already have the parent field) plus:

\n\n
    \n
  • Breaking changes that are partially auto-convertible\n
      \n
    • inputs.i.axes are now defined in more detail (same for outputs.i.axes)
    • \n
    • inputs.i.shape moved per axes to inputs.i.axes.size (same for outputs.i.shape)
    • \n
    • new pre-/postprocessing 'fixed_zero_mean_unit_variance' separated from 'zero_mean_unit_variance', where mode=fixed is no longer valid.\n(for scalar values this is auto-convertible.)
    • \n
  • \n
  • Breaking changes that are fully auto-convertible\n
      \n
    • changes in weights.pytorch_state_dict.architecture\n
        \n
      • renamed weights.pytorch_state_dict.architecture.source_file to ...architecture.source
      • \n
    • \n
    • changes in weights.pytorch_state_dict.dependencies\n
        \n
      • only conda environment allowed and specified by weights.pytorch_state_dict.dependencies.source
      • \n
      • new optional field weights.pytorch_state_dict.dependencies.sha256
      • \n
    • \n
    • changes in weights.tensorflow_model_bundle.dependencies\n
        \n
      • same as changes in weights.pytorch_state_dict.dependencies
      • \n
    • \n
    • moved test_inputs to inputs.i.test_tensor
    • \n
    • moved test_outputs to outputs.i.test_tensor
    • \n
    • moved sample_inputs to inputs.i.sample_tensor
    • \n
    • moved sample_outputs to outputs.i.sample_tensor
    • \n
    • renamed inputs.i.name to inputs.i.id
    • \n
    • renamed outputs.i.name to outputs.i.id
    • \n
    • renamed inputs.i.preprocessing.name to inputs.i.preprocessing.id
    • \n
    • renamed outputs.i.postprocessing.name to outputs.i.postprocessing.id
    • \n
  • \n
  • Non-breaking changes:\n
      \n
    • new pre-/postprocessing: id='ensure_dtype' with kwarg dtype
    • \n
  • \n
\n\n

generic 0.2.4 and model 0.4.10

\n\n
    \n
  • Breaking changes that are fully auto-convertible\n
      \n
    • id overwritten with value from config.bioimageio.nickname if available
    • \n
  • \n
  • Non-breaking changes\n
      \n
    • version_number is a new, optional field indicating that an RDF is the nth published version with a given id
    • \n
    • id_emoji is a new, optional field (set from config.bioimageio.nickname_icon if available)
    • \n
    • uploader is a new, optional field with email and an optional name subfields
    • \n
  • \n
\n\n

model 0.4.9

\n\n
    \n
  • Non-breaking changes\n
      \n
    • make pre-/postprocessing kwargs mode and axes always optional for model description 0.3 and 0.4
    • \n
  • \n
\n\n

model 0.4.8

\n\n
    \n
  • Non-breaking changes\n
      \n
    • cite field is now optional
    • \n
  • \n
\n\n

generic 0.2.2 and model 0.4.7

\n\n
    \n
  • Breaking changes that are fully auto-convertible\n
      \n
    • name field may not include '/' or '\\' (conversion removes these)
    • \n
  • \n
\n\n

model 0.4.6

\n\n
    \n
  • Non-breaking changes\n
      \n
    • Implicit output shape can be expanded by inserting null into shape:scale and indicating length of new dimension D in the offset field. Keep in mind that D=2*'offset'.
    • \n
  • \n
\n\n

model 0.4.5

\n\n
    \n
  • Breaking changes that are fully auto-convertible\n
      \n
    • parent field changed to hold a string that is a bioimage.io ID, a URL or a local relative path (and not subfields uri and sha256)
    • \n
  • \n
\n\n

model 0.4.4

\n\n
    \n
  • Non-breaking changes\n
      \n
    • new optional field training_data
    • \n
  • \n
\n\n

dataset 0.2.2

\n\n
    \n
  • Non-breaking changes\n
      \n
    • explicitly define and document dataset description (for now, clone of generic description with type=\"dataset\")
    • \n
  • \n
\n\n

model 0.4.3

\n\n
    \n
  • Non-breaking changes\n
      \n
    • add optional field download_url
    • \n
    • add optional field dependencies to all weight formats (not only pytorch_state_dict)
    • \n
    • add optional pytorch_version to the pytorch_state_dict and torchscript weight formats
    • \n
  • \n
\n\n

model 0.4.2

\n\n
    \n
  • Bug fixes:\n
      \n
    • in a pytorch_state_dict weight entry architecture is no longer optional.
    • \n
  • \n
\n\n

collection 0.2.2

\n\n
    \n
  • Non-breaking changes

    \n\n
      \n
    • make authors, cite, documentation and tags optional
    • \n
  • \n
  • Breaking changes that are fully auto-convertible

    \n\n
      \n
    • Simplifies collection description 0.2.1 by merging resource type fields together to a collection field,\nholindg a list of all resources in the specified collection.
    • \n
  • \n
\n\n

generic 0.2.2 / model 0.3.6 / model 0.4.2

\n\n
    \n
  • Non-breaking changes\n
      \n
    • rdf_source new optional field
    • \n
    • id new optional field
    • \n
  • \n
\n\n

collection 0.2.1

\n\n
    \n
  • First official release, extends generic description with fields application, model, dataset, notebook and (nested)\ncollection, which hold lists linking to respective resources.
  • \n
\n\n

generic 0.2.1

\n\n
    \n
  • Non-breaking changes\n
      \n
    • add optional email and github_user fields to entries in authors
    • \n
    • add optional maintainers field (entries like in authors but github_user is required (and name is not))
    • \n
  • \n
\n\n

model 0.4.1

\n\n
    \n
  • Breaking changes that are fully auto-convertible

    \n\n
      \n
    • moved field dependencies to weights:pytorch_state_dict:dependencies
    • \n
  • \n
  • Non-breaking changes

    \n\n
      \n
    • documentation field accepts URLs as well
    • \n
  • \n
\n\n

model 0.3.5

\n\n
    \n
  • Non-breaking changes\n
      \n
    • documentation field accepts URLs as well
    • \n
  • \n
\n\n

model 0.4.0

\n\n
    \n
  • Breaking changes

    \n\n
      \n
    • model inputs and outputs may not use duplicated names.
    • \n
    • model field sha256 is required if pytorch_state_dict weights are defined.\nand is now moved to the pytroch_state_dict entry as architecture_sha256.
    • \n
  • \n
  • Breaking changes that are fully auto-convertible

    \n\n
      \n
    • model fields language and framework are removed.
    • \n
    • model field source is renamed architecture and is moved together with kwargs to the pytorch_state_dict\nweights entry (if it exists, otherwise they are removed).
    • \n
    • the weight format pytorch_script was renamed to torchscript.
    • \n
  • \n
  • Other changes\n
      \n
    • model inputs (like outputs) may be defined by scaleing and offseting a reference_tensor
    • \n
    • a maintainers field was added to the model description.
    • \n
    • the entries in the authors field may now additionally contain email or github_user.
    • \n
    • the summary returned by the validate command now also contains a list of warnings.
    • \n
    • an update_format command was added to aid with updating older RDFs by applying auto-conversion.
    • \n
  • \n
\n\n

model 0.3.4

\n\n
    \n
  • Non-breaking changes\n
      \n
    • Add optional parameter eps to scale_range postprocessing.
    • \n
  • \n
\n\n

model 0.3.3

\n\n
    \n
  • Breaking changes that are fully auto-convertible\n
      \n
    • reference_input for implicit output tensor shape was renamed to reference_tensor
    • \n
  • \n
\n\n

model 0.3.2

\n\n
    \n
  • Breaking changes

    \n\n
      \n
    • The RDF file name in a package should be rdf.yaml for all the RDF (not model.yaml);
    • \n
    • Change authors and packaged_by fields from List[str] to List[Author] with Author consisting of a dictionary {name: '<Full name>', affiliation: '<Affiliation>', orcid: 'optional orcid id'};
    • \n
    • Add a mandatory type field to comply with the generic description. Only valid value is 'model' for model description;
    • \n
    • Only allow license identifier from the SPDX license list;
    • \n
  • \n
  • Non-breaking changes

    \n\n
      \n
    • Add optional version field (default 0.1.0) to keep track of model changes;
    • \n
    • Allow the values in the attachments list to be any values besides URI;
    • \n
  • \n
\n"}, "bioimageio.spec._internal.common_nodes": {"fullname": "bioimageio.spec._internal.common_nodes", "modulename": "bioimageio.spec._internal.common_nodes", "kind": "module", "doc": "

\n"}, "bioimageio.spec._internal.common_nodes.StringNode": {"fullname": "bioimageio.spec._internal.common_nodes.StringNode", "modulename": "bioimageio.spec._internal.common_nodes", "qualname": "StringNode", "kind": "class", "doc": "

deprecated! don't use for new spec fields!

\n", "bases": "collections.UserString, abc.ABC"}, "bioimageio.spec._internal.common_nodes.StringNode.__init__": {"fullname": "bioimageio.spec._internal.common_nodes.StringNode.__init__", "modulename": "bioimageio.spec._internal.common_nodes", "qualname": "StringNode.__init__", "kind": "function", "doc": "

\n", "signature": "(seq: object)"}, "bioimageio.spec._internal.common_nodes.StringNode.model_fields": {"fullname": "bioimageio.spec._internal.common_nodes.StringNode.model_fields", "modulename": "bioimageio.spec._internal.common_nodes", "qualname": "StringNode.model_fields", "kind": "variable", "doc": "

\n"}, "bioimageio.spec._internal.common_nodes.CArgs": {"fullname": "bioimageio.spec._internal.common_nodes.CArgs", "modulename": "bioimageio.spec._internal.common_nodes", "qualname": "CArgs", "kind": "variable", "doc": "

\n", "default_value": "CArgs"}, "bioimageio.spec._internal.common_nodes.Converter": {"fullname": "bioimageio.spec._internal.common_nodes.Converter", "modulename": "bioimageio.spec._internal.common_nodes", "qualname": "Converter", "kind": "class", "doc": "

Abstract base class for generic types.

\n\n

On Python 3.12 and newer, generic classes implicitly inherit from\nGeneric when they declare a parameter list after the class's name::

\n\n
class Mapping[KT, VT]:\n    def __getitem__(self, key: KT) -> VT:\n        ...\n    # Etc.\n
\n\n

On older versions of Python, however, generic classes have to\nexplicitly inherit from Generic.

\n\n

After a class has been declared to be generic, it can then be used as\nfollows::

\n\n
def lookup_name[KT, VT](mapping: Mapping[KT, VT], key: KT, default: VT) -> VT:\n    try:\n        return mapping[key]\n    except KeyError:\n        return default\n
\n", "bases": "typing.Generic[~SRC, ~TGT, typing.Unpack[CArgs]], abc.ABC"}, "bioimageio.spec._internal.common_nodes.Converter.src": {"fullname": "bioimageio.spec._internal.common_nodes.Converter.src", "modulename": "bioimageio.spec._internal.common_nodes", "qualname": "Converter.src", "kind": "variable", "doc": "

\n", "annotation": ": Final[Type[~SRC]]"}, "bioimageio.spec._internal.common_nodes.Converter.tgt": {"fullname": "bioimageio.spec._internal.common_nodes.Converter.tgt", "modulename": "bioimageio.spec._internal.common_nodes", "qualname": "Converter.tgt", "kind": "variable", "doc": "

\n", "annotation": ": Final[Type[~TGT]]"}, "bioimageio.spec._internal.common_nodes.Converter.convert": {"fullname": "bioimageio.spec._internal.common_nodes.Converter.convert", "modulename": "bioimageio.spec._internal.common_nodes", "qualname": "Converter.convert", "kind": "function", "doc": "

convert source node

\n\n

Args:\n source: A bioimageio description node

\n\n

Raises:\n ValidationError: conversion failed

\n", "signature": "(self, source: ~SRC, /, *args: Unpack[CArgs]) -> ~TGT:", "funcdef": "def"}, "bioimageio.spec._internal.common_nodes.Converter.convert_as_dict": {"fullname": "bioimageio.spec._internal.common_nodes.Converter.convert_as_dict", "modulename": "bioimageio.spec._internal.common_nodes", "qualname": "Converter.convert_as_dict", "kind": "function", "doc": "

\n", "signature": "(self, source: ~SRC, /, *args: Unpack[CArgs]) -> Dict[str, Any]:", "funcdef": "def"}, "bioimageio.spec._internal.common_nodes.NodeWithExplicitlySetFields": {"fullname": "bioimageio.spec._internal.common_nodes.NodeWithExplicitlySetFields", "modulename": "bioimageio.spec._internal.common_nodes", "qualname": "NodeWithExplicitlySetFields", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "bioimageio.spec._internal.node.Node"}, "bioimageio.spec._internal.common_nodes.NodeWithExplicitlySetFields.fields_to_set_explicitly": {"fullname": "bioimageio.spec._internal.common_nodes.NodeWithExplicitlySetFields.fields_to_set_explicitly", "modulename": "bioimageio.spec._internal.common_nodes", "qualname": "NodeWithExplicitlySetFields.fields_to_set_explicitly", "kind": "variable", "doc": "

set set these fields explicitly with their default value if they are not set,\nsuch that they are always included even when dumping with 'exlude_unset'

\n", "annotation": ": ClassVar[FrozenSet[LiteralString]]", "default_value": "frozenset()"}, "bioimageio.spec._internal.common_nodes.NodeWithExplicitlySetFields.set_fields_explicitly": {"fullname": "bioimageio.spec._internal.common_nodes.NodeWithExplicitlySetFields.set_fields_explicitly", "modulename": "bioimageio.spec._internal.common_nodes", "qualname": "NodeWithExplicitlySetFields.set_fields_explicitly", "kind": "function", "doc": "

\n", "signature": "(cls, data: Union[Any, Dict[str, Any]]) -> Union[Any, Dict[str, Any]]:", "funcdef": "def"}, "bioimageio.spec._internal.common_nodes.NodeWithExplicitlySetFields.model_config": {"fullname": "bioimageio.spec._internal.common_nodes.NodeWithExplicitlySetFields.model_config", "modulename": "bioimageio.spec._internal.common_nodes", "qualname": "NodeWithExplicitlySetFields.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec._internal.common_nodes.NodeWithExplicitlySetFields.model_fields": {"fullname": "bioimageio.spec._internal.common_nodes.NodeWithExplicitlySetFields.model_fields", "modulename": "bioimageio.spec._internal.common_nodes", "qualname": "NodeWithExplicitlySetFields.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec._internal.common_nodes.NodeWithExplicitlySetFields.model_computed_fields": {"fullname": "bioimageio.spec._internal.common_nodes.NodeWithExplicitlySetFields.model_computed_fields", "modulename": "bioimageio.spec._internal.common_nodes", "qualname": "NodeWithExplicitlySetFields.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec._internal.common_nodes.ResourceDescrBase": {"fullname": "bioimageio.spec._internal.common_nodes.ResourceDescrBase", "modulename": "bioimageio.spec._internal.common_nodes", "qualname": "ResourceDescrBase", "kind": "class", "doc": "

base class for all resource descriptions

\n", "bases": "NodeWithExplicitlySetFields, abc.ABC, _ResourceDescrBaseAbstractFieldsProtocol"}, "bioimageio.spec._internal.common_nodes.ResourceDescrBase.fields_to_set_explicitly": {"fullname": "bioimageio.spec._internal.common_nodes.ResourceDescrBase.fields_to_set_explicitly", "modulename": "bioimageio.spec._internal.common_nodes", "qualname": "ResourceDescrBase.fields_to_set_explicitly", "kind": "variable", "doc": "

set set these fields explicitly with their default value if they are not set,\nsuch that they are always included even when dumping with 'exlude_unset'

\n", "annotation": ": ClassVar[FrozenSet[LiteralString]]", "default_value": "frozenset({'format_version', 'type'})"}, "bioimageio.spec._internal.common_nodes.ResourceDescrBase.implemented_format_version": {"fullname": "bioimageio.spec._internal.common_nodes.ResourceDescrBase.implemented_format_version", "modulename": "bioimageio.spec._internal.common_nodes", "qualname": "ResourceDescrBase.implemented_format_version", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[str]"}, "bioimageio.spec._internal.common_nodes.ResourceDescrBase.implemented_format_version_tuple": {"fullname": "bioimageio.spec._internal.common_nodes.ResourceDescrBase.implemented_format_version_tuple", "modulename": "bioimageio.spec._internal.common_nodes", "qualname": "ResourceDescrBase.implemented_format_version_tuple", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[Tuple[int, int, int]]"}, "bioimageio.spec._internal.common_nodes.ResourceDescrBase.validation_summary": {"fullname": "bioimageio.spec._internal.common_nodes.ResourceDescrBase.validation_summary", "modulename": "bioimageio.spec._internal.common_nodes", "qualname": "ResourceDescrBase.validation_summary", "kind": "variable", "doc": "

\n", "annotation": ": bioimageio.spec.summary.ValidationSummary"}, "bioimageio.spec._internal.common_nodes.ResourceDescrBase.root": {"fullname": "bioimageio.spec._internal.common_nodes.ResourceDescrBase.root", "modulename": "bioimageio.spec._internal.common_nodes", "qualname": "ResourceDescrBase.root", "kind": "variable", "doc": "

\n", "annotation": ": Union[bioimageio.spec._internal.url.HttpUrl, Annotated[pathlib.Path, PathType(path_type='dir')]]"}, "bioimageio.spec._internal.common_nodes.ResourceDescrBase.load": {"fullname": "bioimageio.spec._internal.common_nodes.ResourceDescrBase.load", "modulename": "bioimageio.spec._internal.common_nodes", "qualname": "ResourceDescrBase.load", "kind": "function", "doc": "

\n", "signature": "(\tcls,\tdata: Dict[str, YamlValue],\tcontext: Optional[bioimageio.spec._internal.validation_context.ValidationContext] = None) -> Union[Self, bioimageio.spec._internal.common_nodes.InvalidDescr]:", "funcdef": "def"}, "bioimageio.spec._internal.common_nodes.ResourceDescrBase.model_config": {"fullname": "bioimageio.spec._internal.common_nodes.ResourceDescrBase.model_config", "modulename": "bioimageio.spec._internal.common_nodes", "qualname": "ResourceDescrBase.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec._internal.common_nodes.ResourceDescrBase.model_post_init": {"fullname": "bioimageio.spec._internal.common_nodes.ResourceDescrBase.model_post_init", "modulename": "bioimageio.spec._internal.common_nodes", "qualname": "ResourceDescrBase.model_post_init", "kind": "function", "doc": "

This function is meant to behave like a BaseModel method to initialise private attributes.

\n\n

It takes context as an argument since that's what pydantic-core passes when calling it.

\n\n

Args:\n self: The BaseModel instance.\n __context: The context.

\n", "signature": "(self: pydantic.main.BaseModel, __context: Any) -> None:", "funcdef": "def"}, "bioimageio.spec._internal.common_nodes.ResourceDescrBase.model_fields": {"fullname": "bioimageio.spec._internal.common_nodes.ResourceDescrBase.model_fields", "modulename": "bioimageio.spec._internal.common_nodes", "qualname": "ResourceDescrBase.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec._internal.common_nodes.ResourceDescrBase.model_computed_fields": {"fullname": "bioimageio.spec._internal.common_nodes.ResourceDescrBase.model_computed_fields", "modulename": "bioimageio.spec._internal.common_nodes", "qualname": "ResourceDescrBase.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec._internal.common_nodes.InvalidDescr": {"fullname": "bioimageio.spec._internal.common_nodes.InvalidDescr", "modulename": "bioimageio.spec._internal.common_nodes", "qualname": "InvalidDescr", "kind": "class", "doc": "

base class for all resource descriptions

\n", "bases": "ResourceDescrBase"}, "bioimageio.spec._internal.common_nodes.InvalidDescr.type": {"fullname": "bioimageio.spec._internal.common_nodes.InvalidDescr.type", "modulename": "bioimageio.spec._internal.common_nodes", "qualname": "InvalidDescr.type", "kind": "variable", "doc": "

\n", "annotation": ": Any"}, "bioimageio.spec._internal.common_nodes.InvalidDescr.format_version": {"fullname": "bioimageio.spec._internal.common_nodes.InvalidDescr.format_version", "modulename": "bioimageio.spec._internal.common_nodes", "qualname": "InvalidDescr.format_version", "kind": "variable", "doc": "

\n", "annotation": ": Any"}, "bioimageio.spec._internal.common_nodes.InvalidDescr.fields_to_set_explicitly": {"fullname": "bioimageio.spec._internal.common_nodes.InvalidDescr.fields_to_set_explicitly", "modulename": "bioimageio.spec._internal.common_nodes", "qualname": "InvalidDescr.fields_to_set_explicitly", "kind": "variable", "doc": "

set set these fields explicitly with their default value if they are not set,\nsuch that they are always included even when dumping with 'exlude_unset'

\n", "annotation": ": ClassVar[FrozenSet[LiteralString]]", "default_value": "frozenset()"}, "bioimageio.spec._internal.common_nodes.InvalidDescr.implemented_format_version": {"fullname": "bioimageio.spec._internal.common_nodes.InvalidDescr.implemented_format_version", "modulename": "bioimageio.spec._internal.common_nodes", "qualname": "InvalidDescr.implemented_format_version", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[str]", "default_value": "'unknown'"}, "bioimageio.spec._internal.common_nodes.InvalidDescr.implemented_format_version_tuple": {"fullname": "bioimageio.spec._internal.common_nodes.InvalidDescr.implemented_format_version_tuple", "modulename": "bioimageio.spec._internal.common_nodes", "qualname": "InvalidDescr.implemented_format_version_tuple", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[Tuple[int, int, int]]", "default_value": "(0, 0, 0)"}, "bioimageio.spec._internal.common_nodes.InvalidDescr.model_config": {"fullname": "bioimageio.spec._internal.common_nodes.InvalidDescr.model_config", "modulename": "bioimageio.spec._internal.common_nodes", "qualname": "InvalidDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'allow', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True, 'title': 'An invalid resource description'}"}, "bioimageio.spec._internal.common_nodes.InvalidDescr.model_fields": {"fullname": "bioimageio.spec._internal.common_nodes.InvalidDescr.model_fields", "modulename": "bioimageio.spec._internal.common_nodes", "qualname": "InvalidDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'type': FieldInfo(annotation=Any, required=False, default='unknown'), 'format_version': FieldInfo(annotation=Any, required=False, default='unknown')}"}, "bioimageio.spec._internal.common_nodes.InvalidDescr.model_computed_fields": {"fullname": "bioimageio.spec._internal.common_nodes.InvalidDescr.model_computed_fields", "modulename": "bioimageio.spec._internal.common_nodes", "qualname": "InvalidDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec._internal.common_nodes.KwargsNode": {"fullname": "bioimageio.spec._internal.common_nodes.KwargsNode", "modulename": "bioimageio.spec._internal.common_nodes", "qualname": "KwargsNode", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "bioimageio.spec._internal.node.Node"}, "bioimageio.spec._internal.common_nodes.KwargsNode.get": {"fullname": "bioimageio.spec._internal.common_nodes.KwargsNode.get", "modulename": "bioimageio.spec._internal.common_nodes", "qualname": "KwargsNode.get", "kind": "function", "doc": "

\n", "signature": "(self, item: str, default: Any = None) -> Any:", "funcdef": "def"}, "bioimageio.spec._internal.common_nodes.KwargsNode.model_config": {"fullname": "bioimageio.spec._internal.common_nodes.KwargsNode.model_config", "modulename": "bioimageio.spec._internal.common_nodes", "qualname": "KwargsNode.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec._internal.common_nodes.KwargsNode.model_fields": {"fullname": "bioimageio.spec._internal.common_nodes.KwargsNode.model_fields", "modulename": "bioimageio.spec._internal.common_nodes", "qualname": "KwargsNode.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec._internal.common_nodes.KwargsNode.model_computed_fields": {"fullname": "bioimageio.spec._internal.common_nodes.KwargsNode.model_computed_fields", "modulename": "bioimageio.spec._internal.common_nodes", "qualname": "KwargsNode.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec._internal.constants": {"fullname": "bioimageio.spec._internal.constants", "modulename": "bioimageio.spec._internal.constants", "kind": "module", "doc": "

\n"}, "bioimageio.spec._internal.constants.DOI_REGEX": {"fullname": "bioimageio.spec._internal.constants.DOI_REGEX", "modulename": "bioimageio.spec._internal.constants", "qualname": "DOI_REGEX", "kind": "variable", "doc": "

\n", "default_value": "'^10\\\\.[0-9]{4}.+$'"}, "bioimageio.spec._internal.constants.IN_PACKAGE_MESSAGE": {"fullname": "bioimageio.spec._internal.constants.IN_PACKAGE_MESSAGE", "modulename": "bioimageio.spec._internal.constants", "qualname": "IN_PACKAGE_MESSAGE", "kind": "variable", "doc": "

DEPRECATED, use ImportantFileSource to indicate that a file source should be included in a package

\n", "default_value": "'\u2208\ud83d\udce6 '"}, "bioimageio.spec._internal.constants.SHA256_HINT": {"fullname": "bioimageio.spec._internal.constants.SHA256_HINT", "modulename": "bioimageio.spec._internal.constants", "qualname": "SHA256_HINT", "kind": "variable", "doc": "

\n", "default_value": ""You can drag and drop your file to this\\n[online tool](http://emn178.github.io/online-tools/sha256_checksum.html) to generate a SHA256 in your browser.\\nOr you can generate a SHA256 checksum with Python's `hashlib`,\\n[here is a codesnippet](https://gist.github.com/FynnBe/e64460463df89439cff218bbf59c1100).""}, "bioimageio.spec._internal.constants.SI_UNIT_REGEX": {"fullname": "bioimageio.spec._internal.constants.SI_UNIT_REGEX", "modulename": "bioimageio.spec._internal.constants", "qualname": "SI_UNIT_REGEX", "kind": "variable", "doc": "

\n", "default_value": "'^(Q|R|Y|Z|E|P|T|G|M|k|h|da|d|c|m|\u00b5|n|p|f|a|z|y|r|q)?(m|g|s|A|K|mol|cd|Hz|N|Pa|J|W|C|V|F|\u03a9|S|Wb|T|H|lm|lx|Bq|Gy|Sv|kat|l|L)(\\\\^[+-]?[1-9]\\\\d*)?((\u00b7(Q|R|Y|Z|E|P|T|G|M|k|h|da|d|c|m|\u00b5|n|p|f|a|z|y|r|q)?(m|g|s|A|K|mol|cd|Hz|N|Pa|J|W|C|V|F|\u03a9|S|Wb|T|H|lm|lx|Bq|Gy|Sv|kat|l|L)(\\\\^[+-]?[1-9]\\\\d*)?)|(/(Q|R|Y|Z|E|P|T|G|M|k|h|da|d|c|m|\u00b5|n|p|f|a|z|y|r|q)?(m|g|s|A|K|mol|cd|Hz|N|Pa|J|W|C|V|F|\u03a9|S|Wb|T|H|lm|lx|Bq|Gy|Sv|kat|l|L)(\\\\^+?[1-9]\\\\d*)?))*$'"}, "bioimageio.spec._internal.constants.DTYPE_LIMITS": {"fullname": "bioimageio.spec._internal.constants.DTYPE_LIMITS", "modulename": "bioimageio.spec._internal.constants", "qualname": "DTYPE_LIMITS", "kind": "variable", "doc": "

\n", "default_value": "mappingproxy({'float32': _DtypeLimit(min=-3.4028235e+38, max=3.4028235e+38), 'float64': _DtypeLimit(min=-1.7976931348623157e+308, max=1.7976931348623157e+308), 'uint8': _DtypeLimit(min=0, max=255), 'int8': _DtypeLimit(min=-128, max=127), 'uint16': _DtypeLimit(min=0, max=65535), 'int16': _DtypeLimit(min=-32768, max=32767), 'uint32': _DtypeLimit(min=0, max=4294967295), 'int32': _DtypeLimit(min=-2147483648, max=2147483647), 'uint64': _DtypeLimit(min=0, max=18446744073709551615), 'int64': _DtypeLimit(min=-9223372036854775808, max=9223372036854775807)})"}, "bioimageio.spec._internal.constants.KNOWN_GH_USERS": {"fullname": "bioimageio.spec._internal.constants.KNOWN_GH_USERS", "modulename": "bioimageio.spec._internal.constants", "qualname": "KNOWN_GH_USERS", "kind": "variable", "doc": "

\n", "annotation": ": Set[str]", "default_value": "{'lenkaback', 'donglaiw', 'ivanhcenalmor', 'jansanrom', 'esgomezm', 'ctr26', 'carlosuc3m', 'fynnbe', 'aaitorg', 'clementcaporal', 'pedgomgal1', 'iarganda', 'k-dominik', 'oeway', 'cfusterbarcelo', 'constantinpape', 'githubuser2', 'bioimageiobot', 'danifranco'}"}, "bioimageio.spec._internal.constants.N_KNOWN_GH_USERS": {"fullname": "bioimageio.spec._internal.constants.N_KNOWN_GH_USERS", "modulename": "bioimageio.spec._internal.constants", "qualname": "N_KNOWN_GH_USERS", "kind": "variable", "doc": "

\n", "default_value": "19"}, "bioimageio.spec._internal.constants.KNOWN_INVALID_GH_USERS": {"fullname": "bioimageio.spec._internal.constants.KNOWN_INVALID_GH_USERS", "modulename": "bioimageio.spec._internal.constants", "qualname": "KNOWN_INVALID_GH_USERS", "kind": "variable", "doc": "

\n", "annotation": ": Set[str]", "default_value": "{'arratemunoz', 'lmescu'}"}, "bioimageio.spec._internal.constants.N_KNOWN_INVALID_GH_USERS": {"fullname": "bioimageio.spec._internal.constants.N_KNOWN_INVALID_GH_USERS", "modulename": "bioimageio.spec._internal.constants", "qualname": "N_KNOWN_INVALID_GH_USERS", "kind": "variable", "doc": "

\n", "default_value": "2"}, "bioimageio.spec._internal.constants.VERSION": {"fullname": "bioimageio.spec._internal.constants.VERSION", "modulename": "bioimageio.spec._internal.constants", "qualname": "VERSION", "kind": "variable", "doc": "

\n", "annotation": ": str", "default_value": "'0.5.0post2'"}, "bioimageio.spec._internal.constants.TAG_CATEGORIES": {"fullname": "bioimageio.spec._internal.constants.TAG_CATEGORIES", "modulename": "bioimageio.spec._internal.constants", "qualname": "TAG_CATEGORIES", "kind": "variable", "doc": "

\n", "annotation": ": Mapping[str, Mapping[str, Sequence[str]]]", "default_value": "{'model': {'modality': ['electron-microscopy', 'cryo-electron-microscopy', 'fluorescence-light-microscopy', 'transmission-light-microscopy', 'super-resolution-microscopy', 'x-ray-microscopy', 'force-microscopy', 'high-content-imaging', 'whole-slide-imaging', 'other'], 'dims': ['2d', '3d', '2d-t', '3d-t'], 'content': ['cells', 'nuclei', 'extracellular-vesicles', 'tissue', 'plant', 'mitochondria', 'vasculature', 'cell-membrane', 'brain', 'whole-organism'], 'framework': ['tensorflow', 'pytorch', 'tensorflow.js'], 'software': ['ilastik', 'imagej', 'fiji', 'imjoy', 'deepimagej', 'n2v'], 'network': ['unet', 'densenet', 'resnet', 'inception', 'shufflenet'], 'task': ['semantic-segmentation', 'instance-segmentation', 'object-detection', 'image-classification', 'denoising', 'image-restoration', 'image-reconstruction', 'in-silico-labeling']}}"}, "bioimageio.spec._internal.docs_utils": {"fullname": "bioimageio.spec._internal.docs_utils", "modulename": "bioimageio.spec._internal.docs_utils", "kind": "module", "doc": "

\n"}, "bioimageio.spec._internal.docs_utils.get_ref_url": {"fullname": "bioimageio.spec._internal.docs_utils.get_ref_url", "modulename": "bioimageio.spec._internal.docs_utils", "qualname": "get_ref_url", "kind": "function", "doc": "

get github url with line range fragment to reference implementation from non-raw github file url

\n\n

example:

\n\n
\n
>>> get_ref_url(\n...     "class",\n...     "Binarize",\n...     "https://github.com/bioimage-io/core-bioimage-io-python/blob/main/bioimageio/core/prediction_pipeline/_processing.py"\n... )\n'https://github.com/bioimage-io/core-bioimage-io-python/blob/main/bioimageio/core/prediction_pipeline/_processing.py#L120-L127'\n
\n
\n", "signature": "(\ttype_: Literal['class', 'function'],\tname: str,\tgithub_file_url: str) -> str:", "funcdef": "def"}, "bioimageio.spec._internal.field_validation": {"fullname": "bioimageio.spec._internal.field_validation", "modulename": "bioimageio.spec._internal.field_validation", "kind": "module", "doc": "

\n"}, "bioimageio.spec._internal.field_validation.is_valid_yaml_leaf_value": {"fullname": "bioimageio.spec._internal.field_validation.is_valid_yaml_leaf_value", "modulename": "bioimageio.spec._internal.field_validation", "qualname": "is_valid_yaml_leaf_value", "kind": "function", "doc": "

\n", "signature": "(value: Any) -> bool:", "funcdef": "def"}, "bioimageio.spec._internal.field_validation.is_valid_yaml_key": {"fullname": "bioimageio.spec._internal.field_validation.is_valid_yaml_key", "modulename": "bioimageio.spec._internal.field_validation", "qualname": "is_valid_yaml_key", "kind": "function", "doc": "

\n", "signature": "(value: Union[Any, Sequence[Any]]) -> bool:", "funcdef": "def"}, "bioimageio.spec._internal.field_validation.is_valid_yaml_mapping": {"fullname": "bioimageio.spec._internal.field_validation.is_valid_yaml_mapping", "modulename": "bioimageio.spec._internal.field_validation", "qualname": "is_valid_yaml_mapping", "kind": "function", "doc": "

\n", "signature": "(value: Union[Any, Mapping[Any, Any]]) -> bool:", "funcdef": "def"}, "bioimageio.spec._internal.field_validation.is_valid_yaml_sequence": {"fullname": "bioimageio.spec._internal.field_validation.is_valid_yaml_sequence", "modulename": "bioimageio.spec._internal.field_validation", "qualname": "is_valid_yaml_sequence", "kind": "function", "doc": "

\n", "signature": "(value: Union[Any, Sequence[Any]]) -> bool:", "funcdef": "def"}, "bioimageio.spec._internal.field_validation.is_valid_yaml_value": {"fullname": "bioimageio.spec._internal.field_validation.is_valid_yaml_value", "modulename": "bioimageio.spec._internal.field_validation", "qualname": "is_valid_yaml_value", "kind": "function", "doc": "

\n", "signature": "(value: Any) -> bool:", "funcdef": "def"}, "bioimageio.spec._internal.field_validation.validate_unique_entries": {"fullname": "bioimageio.spec._internal.field_validation.validate_unique_entries", "modulename": "bioimageio.spec._internal.field_validation", "qualname": "validate_unique_entries", "kind": "function", "doc": "

\n", "signature": "(seq: Sequence[Hashable]):", "funcdef": "def"}, "bioimageio.spec._internal.field_validation.validate_gh_user": {"fullname": "bioimageio.spec._internal.field_validation.validate_gh_user", "modulename": "bioimageio.spec._internal.field_validation", "qualname": "validate_gh_user", "kind": "function", "doc": "

\n", "signature": "(username: str, hotfix_known_errorenous_names: bool = True) -> str:", "funcdef": "def"}, "bioimageio.spec._internal.field_warning": {"fullname": "bioimageio.spec._internal.field_warning", "modulename": "bioimageio.spec._internal.field_warning", "kind": "module", "doc": "

\n"}, "bioimageio.spec._internal.field_warning.ValidatorFunction": {"fullname": "bioimageio.spec._internal.field_warning.ValidatorFunction", "modulename": "bioimageio.spec._internal.field_warning", "qualname": "ValidatorFunction", "kind": "variable", "doc": "

\n", "default_value": "typing.Union[typing.Callable[[typing.Any], typing.Any], typing.Callable[[typing.Any, pydantic_core.core_schema.ValidationInfo], typing.Any]]"}, "bioimageio.spec._internal.field_warning.AnnotationMetaData": {"fullname": "bioimageio.spec._internal.field_warning.AnnotationMetaData", "modulename": "bioimageio.spec._internal.field_warning", "qualname": "AnnotationMetaData", "kind": "variable", "doc": "

\n", "default_value": "typing.Union[annotated_types.BaseMetadata, annotated_types.GroupedMetadata]"}, "bioimageio.spec._internal.field_warning.warn": {"fullname": "bioimageio.spec._internal.field_warning.warn", "modulename": "bioimageio.spec._internal.field_warning", "qualname": "warn", "kind": "function", "doc": "

treat a type or its annotation metadata as a warning condition

\n", "signature": "(\ttyp: Union[annotated_types.BaseMetadata, annotated_types.GroupedMetadata, Any],\tmsg: LiteralString,\tseverity: Literal[20, 30, 35] = 30):", "funcdef": "def"}, "bioimageio.spec._internal.field_warning.call_validator_func": {"fullname": "bioimageio.spec._internal.field_warning.call_validator_func", "modulename": "bioimageio.spec._internal.field_warning", "qualname": "call_validator_func", "kind": "function", "doc": "

\n", "signature": "(\tfunc: Union[pydantic.functional_validators._V2ValidatorClsMethod, Callable[[Any, pydantic_core.core_schema.ValidationInfo], Any], pydantic.functional_validators._OnlyValueValidatorClsMethod, Callable[[Any], Any]],\tmode: Literal['after', 'before', 'plain', 'wrap'],\tvalue: Any,\tinfo: pydantic_core.core_schema.ValidationInfo) -> Any:", "funcdef": "def"}, "bioimageio.spec._internal.field_warning.as_warning": {"fullname": "bioimageio.spec._internal.field_warning.as_warning", "modulename": "bioimageio.spec._internal.field_warning", "qualname": "as_warning", "kind": "function", "doc": "

turn validation function into a no-op, based on warning level

\n", "signature": "(\tfunc: Union[pydantic.functional_validators._V2ValidatorClsMethod, Callable[[Any, pydantic_core.core_schema.ValidationInfo], Any], pydantic.functional_validators._OnlyValueValidatorClsMethod, Callable[[Any], Any]],\t*,\tmode: Literal['after', 'before', 'plain', 'wrap'] = 'after',\tseverity: Literal[20, 30, 35] = 30,\tmsg: Optional[LiteralString] = None,\tmsg_context: Optional[Dict[str, Any]] = None) -> Union[Callable[[Any], Any], Callable[[Any, pydantic_core.core_schema.ValidationInfo], Any]]:", "funcdef": "def"}, "bioimageio.spec._internal.field_warning.AfterWarner": {"fullname": "bioimageio.spec._internal.field_warning.AfterWarner", "modulename": "bioimageio.spec._internal.field_warning", "qualname": "AfterWarner", "kind": "class", "doc": "

Like AfterValidator, but wraps validation func as_warning

\n", "bases": "pydantic.functional_validators.AfterValidator"}, "bioimageio.spec._internal.field_warning.AfterWarner.__init__": {"fullname": "bioimageio.spec._internal.field_warning.AfterWarner.__init__", "modulename": "bioimageio.spec._internal.field_warning", "qualname": "AfterWarner.__init__", "kind": "function", "doc": "

\n", "signature": "(\tfunc: 'core_schema.NoInfoValidatorFunction | core_schema.WithInfoValidatorFunction',\tseverity: Literal[20, 30, 35] = 30,\tmsg: Optional[LiteralString] = None,\tcontext: Optional[Dict[str, Any]] = None)"}, "bioimageio.spec._internal.field_warning.AfterWarner.severity": {"fullname": "bioimageio.spec._internal.field_warning.AfterWarner.severity", "modulename": "bioimageio.spec._internal.field_warning", "qualname": "AfterWarner.severity", "kind": "variable", "doc": "

\n", "annotation": ": Literal[20, 30, 35]"}, "bioimageio.spec._internal.field_warning.AfterWarner.msg": {"fullname": "bioimageio.spec._internal.field_warning.AfterWarner.msg", "modulename": "bioimageio.spec._internal.field_warning", "qualname": "AfterWarner.msg", "kind": "variable", "doc": "

\n", "annotation": ": Optional[LiteralString]"}, "bioimageio.spec._internal.field_warning.AfterWarner.context": {"fullname": "bioimageio.spec._internal.field_warning.AfterWarner.context", "modulename": "bioimageio.spec._internal.field_warning", "qualname": "AfterWarner.context", "kind": "variable", "doc": "

\n", "annotation": ": Optional[Dict[str, Any]]"}, "bioimageio.spec._internal.field_warning.BeforeWarner": {"fullname": "bioimageio.spec._internal.field_warning.BeforeWarner", "modulename": "bioimageio.spec._internal.field_warning", "qualname": "BeforeWarner", "kind": "class", "doc": "

Like BeforeValidator, but wraps validation func as_warning

\n", "bases": "pydantic.functional_validators.BeforeValidator"}, "bioimageio.spec._internal.field_warning.BeforeWarner.__init__": {"fullname": "bioimageio.spec._internal.field_warning.BeforeWarner.__init__", "modulename": "bioimageio.spec._internal.field_warning", "qualname": "BeforeWarner.__init__", "kind": "function", "doc": "

\n", "signature": "(\tfunc: 'core_schema.NoInfoValidatorFunction | core_schema.WithInfoValidatorFunction',\tseverity: Literal[20, 30, 35] = 30,\tmsg: Optional[LiteralString] = None,\tcontext: Optional[Dict[str, Any]] = None)"}, "bioimageio.spec._internal.field_warning.BeforeWarner.severity": {"fullname": "bioimageio.spec._internal.field_warning.BeforeWarner.severity", "modulename": "bioimageio.spec._internal.field_warning", "qualname": "BeforeWarner.severity", "kind": "variable", "doc": "

\n", "annotation": ": Literal[20, 30, 35]"}, "bioimageio.spec._internal.field_warning.BeforeWarner.msg": {"fullname": "bioimageio.spec._internal.field_warning.BeforeWarner.msg", "modulename": "bioimageio.spec._internal.field_warning", "qualname": "BeforeWarner.msg", "kind": "variable", "doc": "

\n", "annotation": ": Optional[LiteralString]"}, "bioimageio.spec._internal.field_warning.BeforeWarner.context": {"fullname": "bioimageio.spec._internal.field_warning.BeforeWarner.context", "modulename": "bioimageio.spec._internal.field_warning", "qualname": "BeforeWarner.context", "kind": "variable", "doc": "

\n", "annotation": ": Optional[Dict[str, Any]]"}, "bioimageio.spec._internal.field_warning.issue_warning": {"fullname": "bioimageio.spec._internal.field_warning.issue_warning", "modulename": "bioimageio.spec._internal.field_warning", "qualname": "issue_warning", "kind": "function", "doc": "

\n", "signature": "(\tmsg: LiteralString,\t*,\tvalue: Any,\tseverity: Literal[20, 30, 35] = 30,\tmsg_context: Optional[Dict[str, Any]] = None):", "funcdef": "def"}, "bioimageio.spec._internal.io": {"fullname": "bioimageio.spec._internal.io", "modulename": "bioimageio.spec._internal.io", "kind": "module", "doc": "

\n"}, "bioimageio.spec._internal.io.Sha256": {"fullname": "bioimageio.spec._internal.io.Sha256", "modulename": "bioimageio.spec._internal.io", "qualname": "Sha256", "kind": "class", "doc": "

SHA-256 hash value

\n", "bases": "pydantic.main.BaseModel, typing.Generic[~RootModelRootType]"}, "bioimageio.spec._internal.io.RelativePathBase": {"fullname": "bioimageio.spec._internal.io.RelativePathBase", "modulename": "bioimageio.spec._internal.io", "qualname": "RelativePathBase", "kind": "class", "doc": "

Usage docs: https://docs.pydantic.dev/2.6/concepts/models/#rootmodel-and-custom-root-types

\n\n

A Pydantic BaseModel for the root object of the model.

\n\n

Attributes:\n root: The root object of the model.\n __pydantic_root_model__: Whether the model is a RootModel.\n __pydantic_private__: Private fields in the model.\n __pydantic_extra__: Extra fields in the model.

\n", "bases": "pydantic.root_model.RootModel[PurePath], typing.Generic[~AbsolutePathT]"}, "bioimageio.spec._internal.io.RelativePathBase.path": {"fullname": "bioimageio.spec._internal.io.RelativePathBase.path", "modulename": "bioimageio.spec._internal.io", "qualname": "RelativePathBase.path", "kind": "variable", "doc": "

\n", "annotation": ": pathlib.PurePath"}, "bioimageio.spec._internal.io.RelativePathBase.absolute": {"fullname": "bioimageio.spec._internal.io.RelativePathBase.absolute", "modulename": "bioimageio.spec._internal.io", "qualname": "RelativePathBase.absolute", "kind": "variable", "doc": "

the absolute path/url (resolved at time of initialization with the root of the ValidationContext)

\n", "annotation": ": ~AbsolutePathT"}, "bioimageio.spec._internal.io.RelativePathBase.model_post_init": {"fullname": "bioimageio.spec._internal.io.RelativePathBase.model_post_init", "modulename": "bioimageio.spec._internal.io", "qualname": "RelativePathBase.model_post_init", "kind": "function", "doc": "

We need to both initialize private attributes and call the user-defined model_post_init\nmethod.

\n", "signature": "(self: pydantic.main.BaseModel, _ModelMetaclass__context: Any) -> None:", "funcdef": "def"}, "bioimageio.spec._internal.io.RelativePathBase.get_absolute": {"fullname": "bioimageio.spec._internal.io.RelativePathBase.get_absolute", "modulename": "bioimageio.spec._internal.io", "qualname": "RelativePathBase.get_absolute", "kind": "function", "doc": "

\n", "signature": "(\tself,\troot: Union[bioimageio.spec._internal.root_url.RootHttpUrl, Annotated[pathlib.Path, PathType(path_type='dir'), Predicate(func=<function PurePath.is_absolute>)], pydantic_core._pydantic_core.Url]) -> ~AbsolutePathT:", "funcdef": "def"}, "bioimageio.spec._internal.io.RelativePath": {"fullname": "bioimageio.spec._internal.io.RelativePath", "modulename": "bioimageio.spec._internal.io", "qualname": "RelativePath", "kind": "class", "doc": "

Usage docs: https://docs.pydantic.dev/2.6/concepts/models/#rootmodel-and-custom-root-types

\n\n

A Pydantic BaseModel for the root object of the model.

\n\n

Attributes:\n root: The root object of the model.\n __pydantic_root_model__: Whether the model is a RootModel.\n __pydantic_private__: Private fields in the model.\n __pydantic_extra__: Extra fields in the model.

\n", "bases": "pydantic.root_model.RootModel[PurePath], typing.Generic[~AbsolutePathT]"}, "bioimageio.spec._internal.io.RelativePath.get_absolute": {"fullname": "bioimageio.spec._internal.io.RelativePath.get_absolute", "modulename": "bioimageio.spec._internal.io", "qualname": "RelativePath.get_absolute", "kind": "function", "doc": "

\n", "signature": "(\tself,\troot: bioimageio.spec._internal.root_url.RootHttpUrl | pathlib.Path | pydantic_core._pydantic_core.Url) -> Union[Annotated[pathlib.Path, PathType(path_type='file'), Predicate(func=<function PurePath.is_absolute at 0x7f46ae045940>)], Annotated[pathlib.Path, PathType(path_type='dir'), Predicate(func=<function PurePath.is_absolute at 0x7f46ae045940>)], bioimageio.spec._internal.url.HttpUrl]:", "funcdef": "def"}, "bioimageio.spec._internal.io.RelativeFilePath": {"fullname": "bioimageio.spec._internal.io.RelativeFilePath", "modulename": "bioimageio.spec._internal.io", "qualname": "RelativeFilePath", "kind": "class", "doc": "

Usage docs: https://docs.pydantic.dev/2.6/concepts/models/#rootmodel-and-custom-root-types

\n\n

A Pydantic BaseModel for the root object of the model.

\n\n

Attributes:\n root: The root object of the model.\n __pydantic_root_model__: Whether the model is a RootModel.\n __pydantic_private__: Private fields in the model.\n __pydantic_extra__: Extra fields in the model.

\n", "bases": "pydantic.root_model.RootModel[PurePath], typing.Generic[~AbsolutePathT]"}, "bioimageio.spec._internal.io.RelativeFilePath.get_absolute": {"fullname": "bioimageio.spec._internal.io.RelativeFilePath.get_absolute", "modulename": "bioimageio.spec._internal.io", "qualname": "RelativeFilePath.get_absolute", "kind": "function", "doc": "

\n", "signature": "(\tself,\troot: bioimageio.spec._internal.root_url.RootHttpUrl | pathlib.Path | pydantic_core._pydantic_core.Url) -> Union[Annotated[pathlib.Path, PathType(path_type='file'), Predicate(func=<function PurePath.is_absolute at 0x7f46ae045940>)], bioimageio.spec._internal.url.HttpUrl]:", "funcdef": "def"}, "bioimageio.spec._internal.io.RelativeDirectory": {"fullname": "bioimageio.spec._internal.io.RelativeDirectory", "modulename": "bioimageio.spec._internal.io", "qualname": "RelativeDirectory", "kind": "class", "doc": "

Usage docs: https://docs.pydantic.dev/2.6/concepts/models/#rootmodel-and-custom-root-types

\n\n

A Pydantic BaseModel for the root object of the model.

\n\n

Attributes:\n root: The root object of the model.\n __pydantic_root_model__: Whether the model is a RootModel.\n __pydantic_private__: Private fields in the model.\n __pydantic_extra__: Extra fields in the model.

\n", "bases": "pydantic.root_model.RootModel[PurePath], typing.Generic[~AbsolutePathT]"}, "bioimageio.spec._internal.io.RelativeDirectory.get_absolute": {"fullname": "bioimageio.spec._internal.io.RelativeDirectory.get_absolute", "modulename": "bioimageio.spec._internal.io", "qualname": "RelativeDirectory.get_absolute", "kind": "function", "doc": "

\n", "signature": "(\tself,\troot: bioimageio.spec._internal.root_url.RootHttpUrl | pathlib.Path | pydantic_core._pydantic_core.Url) -> Union[Annotated[pathlib.Path, PathType(path_type='dir'), Predicate(func=<function PurePath.is_absolute at 0x7f46ae045940>)], bioimageio.spec._internal.url.HttpUrl]:", "funcdef": "def"}, "bioimageio.spec._internal.io.FileSource": {"fullname": "bioimageio.spec._internal.io.FileSource", "modulename": "bioimageio.spec._internal.io", "qualname": "FileSource", "kind": "variable", "doc": "

\n", "default_value": "typing.Union[typing.Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, typing.Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]]"}, "bioimageio.spec._internal.io.PermissiveFileSource": {"fullname": "bioimageio.spec._internal.io.PermissiveFileSource", "modulename": "bioimageio.spec._internal.io", "qualname": "PermissiveFileSource", "kind": "variable", "doc": "

\n", "default_value": "typing.Union[typing.Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, typing.Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)], str]"}, "bioimageio.spec._internal.io.path_or_url_adapter": {"fullname": "bioimageio.spec._internal.io.path_or_url_adapter", "modulename": "bioimageio.spec._internal.io", "qualname": "path_or_url_adapter", "kind": "variable", "doc": "

\n", "default_value": "<pydantic.type_adapter.TypeAdapter object>"}, "bioimageio.spec._internal.io.validate_suffix": {"fullname": "bioimageio.spec._internal.io.validate_suffix", "modulename": "bioimageio.spec._internal.io", "qualname": "validate_suffix", "kind": "function", "doc": "

check final suffix

\n", "signature": "(\tvalue: ~V_suffix,\tsuffix: Union[str, Sequence[str]],\tcase_sensitive: bool) -> ~V_suffix:", "funcdef": "def"}, "bioimageio.spec._internal.io.WithSuffix": {"fullname": "bioimageio.spec._internal.io.WithSuffix", "modulename": "bioimageio.spec._internal.io", "qualname": "WithSuffix", "kind": "class", "doc": "

\n"}, "bioimageio.spec._internal.io.WithSuffix.__init__": {"fullname": "bioimageio.spec._internal.io.WithSuffix.__init__", "modulename": "bioimageio.spec._internal.io", "qualname": "WithSuffix.__init__", "kind": "function", "doc": "

\n", "signature": "(\tsuffix: Union[LiteralString, Tuple[LiteralString, ...]],\tcase_sensitive: bool)"}, "bioimageio.spec._internal.io.WithSuffix.suffix": {"fullname": "bioimageio.spec._internal.io.WithSuffix.suffix", "modulename": "bioimageio.spec._internal.io", "qualname": "WithSuffix.suffix", "kind": "variable", "doc": "

\n", "annotation": ": Union[LiteralString, Tuple[LiteralString, ...]]"}, "bioimageio.spec._internal.io.WithSuffix.case_sensitive": {"fullname": "bioimageio.spec._internal.io.WithSuffix.case_sensitive", "modulename": "bioimageio.spec._internal.io", "qualname": "WithSuffix.case_sensitive", "kind": "variable", "doc": "

\n", "annotation": ": bool"}, "bioimageio.spec._internal.io.WithSuffix.validate": {"fullname": "bioimageio.spec._internal.io.WithSuffix.validate", "modulename": "bioimageio.spec._internal.io", "qualname": "WithSuffix.validate", "kind": "function", "doc": "

\n", "signature": "(\tself,\tvalue: Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]]) -> Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]]:", "funcdef": "def"}, "bioimageio.spec._internal.io.wo_special_file_name": {"fullname": "bioimageio.spec._internal.io.wo_special_file_name", "modulename": "bioimageio.spec._internal.io", "qualname": "wo_special_file_name", "kind": "function", "doc": "

\n", "signature": "(\tsrc: Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]]) -> Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]]:", "funcdef": "def"}, "bioimageio.spec._internal.io.include_in_package_serializer": {"fullname": "bioimageio.spec._internal.io.include_in_package_serializer", "modulename": "bioimageio.spec._internal.io", "qualname": "include_in_package_serializer", "kind": "variable", "doc": "

\n", "default_value": "PlainSerializer(func=<function _package>, return_type=PydanticUndefined, when_used='unless-none')"}, "bioimageio.spec._internal.io.ImportantFileSource": {"fullname": "bioimageio.spec._internal.io.ImportantFileSource", "modulename": "bioimageio.spec._internal.io", "qualname": "ImportantFileSource", "kind": "variable", "doc": "

\n", "default_value": "typing.Annotated[typing.Union[typing.Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, typing.Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator(func=<function wo_special_file_name>), PlainSerializer(func=<function _package>, return_type=PydanticUndefined, when_used='unless-none')]"}, "bioimageio.spec._internal.io.has_valid_rdf_name": {"fullname": "bioimageio.spec._internal.io.has_valid_rdf_name", "modulename": "bioimageio.spec._internal.io", "qualname": "has_valid_rdf_name", "kind": "function", "doc": "

\n", "signature": "(\tsrc: Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]]) -> bool:", "funcdef": "def"}, "bioimageio.spec._internal.io.is_valid_rdf_name": {"fullname": "bioimageio.spec._internal.io.is_valid_rdf_name", "modulename": "bioimageio.spec._internal.io", "qualname": "is_valid_rdf_name", "kind": "function", "doc": "

\n", "signature": "(file_name: str) -> bool:", "funcdef": "def"}, "bioimageio.spec._internal.io.ensure_has_valid_rdf_name": {"fullname": "bioimageio.spec._internal.io.ensure_has_valid_rdf_name", "modulename": "bioimageio.spec._internal.io", "qualname": "ensure_has_valid_rdf_name", "kind": "function", "doc": "

\n", "signature": "(\tsrc: Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]]) -> Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]]:", "funcdef": "def"}, "bioimageio.spec._internal.io.ensure_is_valid_rdf_name": {"fullname": "bioimageio.spec._internal.io.ensure_is_valid_rdf_name", "modulename": "bioimageio.spec._internal.io", "qualname": "ensure_is_valid_rdf_name", "kind": "function", "doc": "

\n", "signature": "(file_name: str) -> str:", "funcdef": "def"}, "bioimageio.spec._internal.io.YamlLeafValue": {"fullname": "bioimageio.spec._internal.io.YamlLeafValue", "modulename": "bioimageio.spec._internal.io", "qualname": "YamlLeafValue", "kind": "variable", "doc": "

\n", "default_value": "typing.Union[bool, datetime.date, datetime.datetime, int, float, str, NoneType]"}, "bioimageio.spec._internal.io.YamlKey": {"fullname": "bioimageio.spec._internal.io.YamlKey", "modulename": "bioimageio.spec._internal.io", "qualname": "YamlKey", "kind": "variable", "doc": "

\n", "default_value": "typing.Union[bool, datetime.date, datetime.datetime, int, float, str, NoneType, typing.Tuple[typing.Union[bool, datetime.date, datetime.datetime, int, float, str, NoneType], ...]]"}, "bioimageio.spec._internal.io.YamlValue": {"fullname": "bioimageio.spec._internal.io.YamlValue", "modulename": "bioimageio.spec._internal.io", "qualname": "YamlValue", "kind": "variable", "doc": "

\n", "default_value": "Union[bool, datetime.date, datetime.datetime, int, float, str, NoneType, List[ForwardRef('YamlValue')], Dict[Union[bool, datetime.date, datetime.datetime, int, float, str, NoneType, Tuple[Union[bool, datetime.date, datetime.datetime, int, float, str, NoneType], ...]], ForwardRef('YamlValue')]]"}, "bioimageio.spec._internal.io.BioimageioYamlContent": {"fullname": "bioimageio.spec._internal.io.BioimageioYamlContent", "modulename": "bioimageio.spec._internal.io", "qualname": "BioimageioYamlContent", "kind": "variable", "doc": "

\n", "default_value": "typing.Dict[str, YamlValue]"}, "bioimageio.spec._internal.io.BioimageioYamlSource": {"fullname": "bioimageio.spec._internal.io.BioimageioYamlSource", "modulename": "bioimageio.spec._internal.io", "qualname": "BioimageioYamlSource", "kind": "variable", "doc": "

\n", "default_value": "typing.Union[typing.Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, typing.Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)], str, typing.Dict[str, YamlValue]]"}, "bioimageio.spec._internal.io.OpenedBioimageioYaml": {"fullname": "bioimageio.spec._internal.io.OpenedBioimageioYaml", "modulename": "bioimageio.spec._internal.io", "qualname": "OpenedBioimageioYaml", "kind": "class", "doc": "

\n"}, "bioimageio.spec._internal.io.OpenedBioimageioYaml.__init__": {"fullname": "bioimageio.spec._internal.io.OpenedBioimageioYaml.__init__", "modulename": "bioimageio.spec._internal.io", "qualname": "OpenedBioimageioYaml.__init__", "kind": "function", "doc": "

\n", "signature": "(\tcontent: Dict[str, YamlValue],\toriginal_root: Union[Annotated[pathlib.Path, PathType(path_type='dir'), Predicate(func=<function PurePath.is_absolute>)], bioimageio.spec._internal.root_url.RootHttpUrl],\toriginal_file_name: str)"}, "bioimageio.spec._internal.io.OpenedBioimageioYaml.content": {"fullname": "bioimageio.spec._internal.io.OpenedBioimageioYaml.content", "modulename": "bioimageio.spec._internal.io", "qualname": "OpenedBioimageioYaml.content", "kind": "variable", "doc": "

\n", "annotation": ": Dict[str, YamlValue]"}, "bioimageio.spec._internal.io.OpenedBioimageioYaml.original_root": {"fullname": "bioimageio.spec._internal.io.OpenedBioimageioYaml.original_root", "modulename": "bioimageio.spec._internal.io", "qualname": "OpenedBioimageioYaml.original_root", "kind": "variable", "doc": "

\n", "annotation": ": Union[Annotated[pathlib.Path, PathType(path_type='dir'), Predicate(func=<function PurePath.is_absolute at 0x7f46ae045940>)], bioimageio.spec._internal.root_url.RootHttpUrl]"}, "bioimageio.spec._internal.io.OpenedBioimageioYaml.original_file_name": {"fullname": "bioimageio.spec._internal.io.OpenedBioimageioYaml.original_file_name", "modulename": "bioimageio.spec._internal.io", "qualname": "OpenedBioimageioYaml.original_file_name", "kind": "variable", "doc": "

\n", "annotation": ": str"}, "bioimageio.spec._internal.io.DownloadedFile": {"fullname": "bioimageio.spec._internal.io.DownloadedFile", "modulename": "bioimageio.spec._internal.io", "qualname": "DownloadedFile", "kind": "class", "doc": "

\n"}, "bioimageio.spec._internal.io.DownloadedFile.__init__": {"fullname": "bioimageio.spec._internal.io.DownloadedFile.__init__", "modulename": "bioimageio.spec._internal.io", "qualname": "DownloadedFile.__init__", "kind": "function", "doc": "

\n", "signature": "(\tpath: Annotated[pathlib.Path, PathType(path_type='file')],\toriginal_root: Union[Annotated[pathlib.Path, PathType(path_type='dir'), Predicate(func=<function PurePath.is_absolute>)], bioimageio.spec._internal.root_url.RootHttpUrl],\toriginal_file_name: str)"}, "bioimageio.spec._internal.io.DownloadedFile.path": {"fullname": "bioimageio.spec._internal.io.DownloadedFile.path", "modulename": "bioimageio.spec._internal.io", "qualname": "DownloadedFile.path", "kind": "variable", "doc": "

\n", "annotation": ": Annotated[pathlib.Path, PathType(path_type='file')]"}, "bioimageio.spec._internal.io.DownloadedFile.original_root": {"fullname": "bioimageio.spec._internal.io.DownloadedFile.original_root", "modulename": "bioimageio.spec._internal.io", "qualname": "DownloadedFile.original_root", "kind": "variable", "doc": "

\n", "annotation": ": Union[Annotated[pathlib.Path, PathType(path_type='dir'), Predicate(func=<function PurePath.is_absolute at 0x7f46ae045940>)], bioimageio.spec._internal.root_url.RootHttpUrl]"}, "bioimageio.spec._internal.io.DownloadedFile.original_file_name": {"fullname": "bioimageio.spec._internal.io.DownloadedFile.original_file_name", "modulename": "bioimageio.spec._internal.io", "qualname": "DownloadedFile.original_file_name", "kind": "variable", "doc": "

\n", "annotation": ": str"}, "bioimageio.spec._internal.io.HashKwargs": {"fullname": "bioimageio.spec._internal.io.HashKwargs", "modulename": "bioimageio.spec._internal.io", "qualname": "HashKwargs", "kind": "class", "doc": "

\n", "bases": "typing.TypedDict"}, "bioimageio.spec._internal.io.HashKwargs.sha256": {"fullname": "bioimageio.spec._internal.io.HashKwargs.sha256", "modulename": "bioimageio.spec._internal.io", "qualname": "HashKwargs.sha256", "kind": "variable", "doc": "

\n", "annotation": ": NotRequired[Optional[bioimageio.spec._internal.io.Sha256]]"}, "bioimageio.spec._internal.io.StrictFileSource": {"fullname": "bioimageio.spec._internal.io.StrictFileSource", "modulename": "bioimageio.spec._internal.io", "qualname": "StrictFileSource", "kind": "variable", "doc": "

\n", "default_value": "typing.Union[bioimageio.spec._internal.url.HttpUrl, typing.Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath]"}, "bioimageio.spec._internal.io.interprete_file_source": {"fullname": "bioimageio.spec._internal.io.interprete_file_source", "modulename": "bioimageio.spec._internal.io", "qualname": "interprete_file_source", "kind": "function", "doc": "

\n", "signature": "(\tfile_source: Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)], str]) -> Union[bioimageio.spec._internal.url.HttpUrl, Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath]:", "funcdef": "def"}, "bioimageio.spec._internal.io.download": {"fullname": "bioimageio.spec._internal.io.download", "modulename": "bioimageio.spec._internal.io", "qualname": "download", "kind": "function", "doc": "

\n", "signature": "(\tsource: Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)], str, bioimageio.spec._internal.io.FileDescr],\t/,\t**kwargs: Unpack[bioimageio.spec._internal.io.HashKwargs]) -> bioimageio.spec._internal.io.DownloadedFile:", "funcdef": "def"}, "bioimageio.spec._internal.io.FileDescr": {"fullname": "bioimageio.spec._internal.io.FileDescr", "modulename": "bioimageio.spec._internal.io", "qualname": "FileDescr", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "bioimageio.spec._internal.node.Node"}, "bioimageio.spec._internal.io.FileDescr.source": {"fullname": "bioimageio.spec._internal.io.FileDescr.source", "modulename": "bioimageio.spec._internal.io", "qualname": "FileDescr.source", "kind": "variable", "doc": "

\u2208\ud83d\udce6 file source

\n", "annotation": ": Annotated[Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator(func=<function wo_special_file_name at 0x7f46aaa98680>), PlainSerializer(func=<function _package at 0x7f46aaa998a0>, return_type=PydanticUndefined, when_used='unless-none')]"}, "bioimageio.spec._internal.io.FileDescr.sha256": {"fullname": "bioimageio.spec._internal.io.FileDescr.sha256", "modulename": "bioimageio.spec._internal.io", "qualname": "FileDescr.sha256", "kind": "variable", "doc": "

SHA256 checksum of the source file

\n", "annotation": ": Optional[bioimageio.spec._internal.io.Sha256]"}, "bioimageio.spec._internal.io.FileDescr.validate_sha256": {"fullname": "bioimageio.spec._internal.io.FileDescr.validate_sha256", "modulename": "bioimageio.spec._internal.io", "qualname": "FileDescr.validate_sha256", "kind": "function", "doc": "

\n", "signature": "(self) -> Self:", "funcdef": "def"}, "bioimageio.spec._internal.io.FileDescr.download": {"fullname": "bioimageio.spec._internal.io.FileDescr.download", "modulename": "bioimageio.spec._internal.io", "qualname": "FileDescr.download", "kind": "function", "doc": "

\n", "signature": "(self):", "funcdef": "def"}, "bioimageio.spec._internal.io.FileDescr.model_config": {"fullname": "bioimageio.spec._internal.io.FileDescr.model_config", "modulename": "bioimageio.spec._internal.io", "qualname": "FileDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec._internal.io.FileDescr.model_fields": {"fullname": "bioimageio.spec._internal.io.FileDescr.model_fields", "modulename": "bioimageio.spec._internal.io", "qualname": "FileDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'source': FieldInfo(annotation=Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], required=True, metadata=[AfterValidator(func=<function wo_special_file_name>), PlainSerializer(func=<function _package>, return_type=PydanticUndefined, when_used='unless-none')]), 'sha256': FieldInfo(annotation=Union[Sha256, NoneType], required=False)}"}, "bioimageio.spec._internal.io.FileDescr.model_computed_fields": {"fullname": "bioimageio.spec._internal.io.FileDescr.model_computed_fields", "modulename": "bioimageio.spec._internal.io", "qualname": "FileDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec._internal.io.extract_file_name": {"fullname": "bioimageio.spec._internal.io.extract_file_name", "modulename": "bioimageio.spec._internal.io", "qualname": "extract_file_name", "kind": "function", "doc": "

\n", "signature": "(\tsrc: Union[Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)], bioimageio.spec._internal.url.HttpUrl, pathlib.PurePath, bioimageio.spec._internal.io.RelativeFilePath]) -> str:", "funcdef": "def"}, "bioimageio.spec._internal.io.get_sha256": {"fullname": "bioimageio.spec._internal.io.get_sha256", "modulename": "bioimageio.spec._internal.io", "qualname": "get_sha256", "kind": "function", "doc": "

from https://stackoverflow.com/a/44873382

\n", "signature": "(path: pathlib.Path) -> bioimageio.spec._internal.io.Sha256:", "funcdef": "def"}, "bioimageio.spec._internal.io.RelativePathBase[Union[Annotated[Path, PathType, Predicate], Annotated[Path, PathType, Predicate], HttpUrl]]": {"fullname": "bioimageio.spec._internal.io.RelativePathBase[Union[Annotated[Path, PathType, Predicate], Annotated[Path, PathType, Predicate], HttpUrl]]", "modulename": "bioimageio.spec._internal.io", "qualname": "RelativePathBase[Union[Annotated[Path, PathType, Predicate], Annotated[Path, PathType, Predicate], HttpUrl]]", "kind": "class", "doc": "

Usage docs: https://docs.pydantic.dev/2.6/concepts/models/#rootmodel-and-custom-root-types

\n\n

A Pydantic BaseModel for the root object of the model.

\n\n

Attributes:\n root: The root object of the model.\n __pydantic_root_model__: Whether the model is a RootModel.\n __pydantic_private__: Private fields in the model.\n __pydantic_extra__: Extra fields in the model.

\n", "bases": "pydantic.root_model.RootModel[PurePath], typing.Generic[~AbsolutePathT]"}, "bioimageio.spec._internal.io.RelativePathBase[Union[Annotated[Path, PathType, Predicate], HttpUrl]]": {"fullname": "bioimageio.spec._internal.io.RelativePathBase[Union[Annotated[Path, PathType, Predicate], HttpUrl]]", "modulename": "bioimageio.spec._internal.io", "qualname": "RelativePathBase[Union[Annotated[Path, PathType, Predicate], HttpUrl]]", "kind": "class", "doc": "

Usage docs: https://docs.pydantic.dev/2.6/concepts/models/#rootmodel-and-custom-root-types

\n\n

A Pydantic BaseModel for the root object of the model.

\n\n

Attributes:\n root: The root object of the model.\n __pydantic_root_model__: Whether the model is a RootModel.\n __pydantic_private__: Private fields in the model.\n __pydantic_extra__: Extra fields in the model.

\n", "bases": "pydantic.root_model.RootModel[PurePath], typing.Generic[~AbsolutePathT]"}, "bioimageio.spec._internal.io.RelativePathBase[Union[Annotated[Path, PathType, Predicate], HttpUrl]]_": {"fullname": "bioimageio.spec._internal.io.RelativePathBase[Union[Annotated[Path, PathType, Predicate], HttpUrl]]_", "modulename": "bioimageio.spec._internal.io", "qualname": "RelativePathBase[Union[Annotated[Path, PathType, Predicate], HttpUrl]]_", "kind": "variable", "doc": "

\n", "default_value": "<class 'bioimageio.spec._internal.io.RelativePathBase[Union[Annotated[Path, PathType, Predicate], HttpUrl]]'>"}, "bioimageio.spec._internal.io_basics": {"fullname": "bioimageio.spec._internal.io_basics", "modulename": "bioimageio.spec._internal.io_basics", "kind": "module", "doc": "

\n"}, "bioimageio.spec._internal.io_basics.FileName": {"fullname": "bioimageio.spec._internal.io_basics.FileName", "modulename": "bioimageio.spec._internal.io_basics", "qualname": "FileName", "kind": "variable", "doc": "

\n", "default_value": "<class 'str'>"}, "bioimageio.spec._internal.io_basics.AbsoluteDirectory": {"fullname": "bioimageio.spec._internal.io_basics.AbsoluteDirectory", "modulename": "bioimageio.spec._internal.io_basics", "qualname": "AbsoluteDirectory", "kind": "variable", "doc": "

\n", "default_value": "typing.Annotated[pathlib.Path, PathType(path_type='dir'), Predicate(func=<function PurePath.is_absolute>)]"}, "bioimageio.spec._internal.io_basics.AbsoluteFilePath": {"fullname": "bioimageio.spec._internal.io_basics.AbsoluteFilePath", "modulename": "bioimageio.spec._internal.io_basics", "qualname": "AbsoluteFilePath", "kind": "variable", "doc": "

\n", "default_value": "typing.Annotated[pathlib.Path, PathType(path_type='file'), Predicate(func=<function PurePath.is_absolute>)]"}, "bioimageio.spec._internal.io_basics.BIOIMAGEIO_YAML": {"fullname": "bioimageio.spec._internal.io_basics.BIOIMAGEIO_YAML", "modulename": "bioimageio.spec._internal.io_basics", "qualname": "BIOIMAGEIO_YAML", "kind": "variable", "doc": "

\n", "default_value": "'rdf.yaml'"}, "bioimageio.spec._internal.io_basics.ALTERNATIVE_BIOIMAGEIO_YAML_NAMES": {"fullname": "bioimageio.spec._internal.io_basics.ALTERNATIVE_BIOIMAGEIO_YAML_NAMES", "modulename": "bioimageio.spec._internal.io_basics", "qualname": "ALTERNATIVE_BIOIMAGEIO_YAML_NAMES", "kind": "variable", "doc": "

\n", "default_value": "('bioimageio.yaml', 'model.yaml')"}, "bioimageio.spec._internal.io_basics.ALL_BIOIMAGEIO_YAML_NAMES": {"fullname": "bioimageio.spec._internal.io_basics.ALL_BIOIMAGEIO_YAML_NAMES", "modulename": "bioimageio.spec._internal.io_basics", "qualname": "ALL_BIOIMAGEIO_YAML_NAMES", "kind": "variable", "doc": "

\n", "default_value": "('rdf.yaml', 'bioimageio.yaml', 'model.yaml')"}, "bioimageio.spec._internal.io_utils": {"fullname": "bioimageio.spec._internal.io_utils", "modulename": "bioimageio.spec._internal.io_utils", "kind": "module", "doc": "

\n"}, "bioimageio.spec._internal.io_utils.yaml": {"fullname": "bioimageio.spec._internal.io_utils.yaml", "modulename": "bioimageio.spec._internal.io_utils", "qualname": "yaml", "kind": "variable", "doc": "

\n", "default_value": "<ruyaml.main.YAML object>"}, "bioimageio.spec._internal.io_utils.read_yaml": {"fullname": "bioimageio.spec._internal.io_utils.read_yaml", "modulename": "bioimageio.spec._internal.io_utils", "qualname": "read_yaml", "kind": "function", "doc": "

\n", "signature": "(\tfile: Union[Annotated[pathlib.Path, PathType(path_type='file')], TextIO]) -> YamlValue:", "funcdef": "def"}, "bioimageio.spec._internal.io_utils.write_yaml": {"fullname": "bioimageio.spec._internal.io_utils.write_yaml", "modulename": "bioimageio.spec._internal.io_utils", "qualname": "write_yaml", "kind": "function", "doc": "

\n", "signature": "(\tcontent: YamlValue,\t/,\tfile: Union[Annotated[pathlib.Path, PathType(path_type='new')], Annotated[pathlib.Path, PathType(path_type='file')], TextIO]):", "funcdef": "def"}, "bioimageio.spec._internal.io_utils.open_bioimageio_yaml": {"fullname": "bioimageio.spec._internal.io_utils.open_bioimageio_yaml", "modulename": "bioimageio.spec._internal.io_utils", "qualname": "open_bioimageio_yaml", "kind": "function", "doc": "

\n", "signature": "(\tsource: Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)], str],\t/,\t**kwargs: Unpack[bioimageio.spec._internal.io.HashKwargs]) -> bioimageio.spec._internal.io.OpenedBioimageioYaml:", "funcdef": "def"}, "bioimageio.spec._internal.io_utils.identify_bioimageio_yaml_file_name": {"fullname": "bioimageio.spec._internal.io_utils.identify_bioimageio_yaml_file_name", "modulename": "bioimageio.spec._internal.io_utils", "qualname": "identify_bioimageio_yaml_file_name", "kind": "function", "doc": "

\n", "signature": "(file_names: Iterable[str]) -> str:", "funcdef": "def"}, "bioimageio.spec._internal.io_utils.find_bioimageio_yaml_file_name": {"fullname": "bioimageio.spec._internal.io_utils.find_bioimageio_yaml_file_name", "modulename": "bioimageio.spec._internal.io_utils", "qualname": "find_bioimageio_yaml_file_name", "kind": "function", "doc": "

\n", "signature": "(path: pathlib.Path) -> str:", "funcdef": "def"}, "bioimageio.spec._internal.io_utils.unzip": {"fullname": "bioimageio.spec._internal.io_utils.unzip", "modulename": "bioimageio.spec._internal.io_utils", "qualname": "unzip", "kind": "function", "doc": "

\n", "signature": "(\tzip_file: Union[Annotated[pathlib.Path, PathType(path_type='file')], zipfile.ZipFile],\tout_path: Optional[Annotated[pathlib.Path, PathType(path_type='dir')]] = None,\toverwrite: bool = False) -> Annotated[pathlib.Path, PathType(path_type='dir')]:", "funcdef": "def"}, "bioimageio.spec._internal.io_utils.write_zip": {"fullname": "bioimageio.spec._internal.io_utils.write_zip", "modulename": "bioimageio.spec._internal.io_utils", "qualname": "write_zip", "kind": "function", "doc": "

Write a zip archive.

\n\n

Args:\n path: output path to write to.\n content: dict mapping archive names to local file paths, strings (for text files), or dict (for yaml files).\n compression: The numeric constant of compression method.\n compression_level: Compression level to use when writing files to the archive.\n See https://docs.python.org/3/library/zipfile.html#zipfile.ZipFile

\n", "signature": "(\tpath: Union[Annotated[pathlib.Path, PathType(path_type='file')], IO[bytes]],\tcontent: Mapping[str, Union[str, Annotated[pathlib.Path, PathType(path_type='file')], Dict[Any, Any]]],\t*,\tcompression: int,\tcompression_level: int) -> None:", "funcdef": "def"}, "bioimageio.spec._internal.io_utils.load_array": {"fullname": "bioimageio.spec._internal.io_utils.load_array", "modulename": "bioimageio.spec._internal.io_utils", "qualname": "load_array", "kind": "function", "doc": "

\n", "signature": "(\tsource: Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)], bioimageio.spec._internal.io.FileDescr]) -> numpy.ndarray[typing.Any, numpy.dtype[typing.Any]]:", "funcdef": "def"}, "bioimageio.spec._internal.io_utils.save_array": {"fullname": "bioimageio.spec._internal.io_utils.save_array", "modulename": "bioimageio.spec._internal.io_utils", "qualname": "save_array", "kind": "function", "doc": "

\n", "signature": "(\tpath: pathlib.Path,\tarray: numpy.ndarray[typing.Any, numpy.dtype[typing.Any]]) -> None:", "funcdef": "def"}, "bioimageio.spec._internal.license_id": {"fullname": "bioimageio.spec._internal.license_id", "modulename": "bioimageio.spec._internal.license_id", "kind": "module", "doc": "

\n"}, "bioimageio.spec._internal.license_id.DeprecatedLicenseId": {"fullname": "bioimageio.spec._internal.license_id.DeprecatedLicenseId", "modulename": "bioimageio.spec._internal.license_id", "qualname": "DeprecatedLicenseId", "kind": "class", "doc": "

Usage docs: https://docs.pydantic.dev/2.6/concepts/models/#rootmodel-and-custom-root-types

\n\n

A Pydantic BaseModel for the root object of the model.

\n\n

Attributes:\n root: The root object of the model.\n __pydantic_root_model__: Whether the model is a RootModel.\n __pydantic_private__: Private fields in the model.\n __pydantic_extra__: Extra fields in the model.

\n", "bases": "pydantic.main.BaseModel, typing.Generic[~RootModelRootType]"}, "bioimageio.spec._internal.license_id.LicenseId": {"fullname": "bioimageio.spec._internal.license_id.LicenseId", "modulename": "bioimageio.spec._internal.license_id", "qualname": "LicenseId", "kind": "class", "doc": "

Usage docs: https://docs.pydantic.dev/2.6/concepts/models/#rootmodel-and-custom-root-types

\n\n

A Pydantic BaseModel for the root object of the model.

\n\n

Attributes:\n root: The root object of the model.\n __pydantic_root_model__: Whether the model is a RootModel.\n __pydantic_private__: Private fields in the model.\n __pydantic_extra__: Extra fields in the model.

\n", "bases": "pydantic.main.BaseModel, typing.Generic[~RootModelRootType]"}, "bioimageio.spec._internal.license_id._LicenseId[Literal['AGPL-1.0', 'AGPL-3.0', 'BSD-2-Clause-FreeBSD', 'BSD-2-Clause-NetBSD', 'bzip2-1.0.5', 'eCos-2.0', 'GFDL-1.1', 'GFDL-1.2', 'GFDL-1.3', 'GPL-1.0', 'GPL-1.0+', 'GPL-2.0', 'GPL-2.0+', 'GPL-2.0-with-autoconf-exception', 'GPL-2.0-with-bison-exception', 'GPL-2.0-with-classpath-exception', 'GPL-2.0-with-font-exception', 'GPL-2.0-with-GCC-exception', 'GPL-3.0', 'GPL-3.0+', 'GPL-3.0-with-autoconf-exception', 'GPL-3.0-with-GCC-exception', 'LGPL-2.0', 'LGPL-2.0+', 'LGPL-2.1', 'LGPL-2.1+', 'LGPL-3.0', 'LGPL-3.0+', 'Nunit', 'StandardML-NJ', 'wxWindows']]": {"fullname": "bioimageio.spec._internal.license_id._LicenseId[Literal['AGPL-1.0', 'AGPL-3.0', 'BSD-2-Clause-FreeBSD', 'BSD-2-Clause-NetBSD', 'bzip2-1.0.5', 'eCos-2.0', 'GFDL-1.1', 'GFDL-1.2', 'GFDL-1.3', 'GPL-1.0', 'GPL-1.0+', 'GPL-2.0', 'GPL-2.0+', 'GPL-2.0-with-autoconf-exception', 'GPL-2.0-with-bison-exception', 'GPL-2.0-with-classpath-exception', 'GPL-2.0-with-font-exception', 'GPL-2.0-with-GCC-exception', 'GPL-3.0', 'GPL-3.0+', 'GPL-3.0-with-autoconf-exception', 'GPL-3.0-with-GCC-exception', 'LGPL-2.0', 'LGPL-2.0+', 'LGPL-2.1', 'LGPL-2.1+', 'LGPL-3.0', 'LGPL-3.0+', 'Nunit', 'StandardML-NJ', 'wxWindows']]", "modulename": "bioimageio.spec._internal.license_id", "qualname": "_LicenseId[Literal['AGPL-1.0', 'AGPL-3.0', 'BSD-2-Clause-FreeBSD', 'BSD-2-Clause-NetBSD', 'bzip2-1.0.5', 'eCos-2.0', 'GFDL-1.1', 'GFDL-1.2', 'GFDL-1.3', 'GPL-1.0', 'GPL-1.0+', 'GPL-2.0', 'GPL-2.0+', 'GPL-2.0-with-autoconf-exception', 'GPL-2.0-with-bison-exception', 'GPL-2.0-with-classpath-exception', 'GPL-2.0-with-font-exception', 'GPL-2.0-with-GCC-exception', 'GPL-3.0', 'GPL-3.0+', 'GPL-3.0-with-autoconf-exception', 'GPL-3.0-with-GCC-exception', 'LGPL-2.0', 'LGPL-2.0+', 'LGPL-2.1', 'LGPL-2.1+', 'LGPL-3.0', 'LGPL-3.0+', 'Nunit', 'StandardML-NJ', 'wxWindows']]", "kind": "class", "doc": "

Usage docs: https://docs.pydantic.dev/2.6/concepts/models/#rootmodel-and-custom-root-types

\n\n

A Pydantic BaseModel for the root object of the model.

\n\n

Attributes:\n root: The root object of the model.\n __pydantic_root_model__: Whether the model is a RootModel.\n __pydantic_private__: Private fields in the model.\n __pydantic_extra__: Extra fields in the model.

\n", "bases": "pydantic.main.BaseModel, typing.Generic[~RootModelRootType]"}, "bioimageio.spec._internal.license_id._LicenseId[Literal['0BSD', 'AAL', 'Abstyles', 'AdaCore-doc', 'Adobe-2006', 'Adobe-Glyph', 'ADSL', 'AFL-1.1', 'AFL-1.2', 'AFL-2.0', 'AFL-2.1', 'AFL-3.0', 'Afmparse', 'AGPL-1.0-only', 'AGPL-1.0-or-later', 'AGPL-3.0-only', 'AGPL-3.0-or-later', 'Aladdin', 'AMDPLPA', 'AML', 'AMPAS', 'ANTLR-PD', 'ANTLR-PD-fallback', 'Apache-1.0', 'Apache-1.1', 'Apache-2.0', 'APAFML', 'APL-1.0', 'App-s2p', 'APSL-1.0', 'APSL-1.1', 'APSL-1.2', 'APSL-2.0', 'Arphic-1999', 'Artistic-1.0', 'Artistic-1.0-cl8', 'Artistic-1.0-Perl', 'Artistic-2.0', 'ASWF-Digital-Assets-1.0', 'ASWF-Digital-Assets-1.1', 'Baekmuk', 'Bahyph', 'Barr', 'Beerware', 'Bitstream-Charter', 'Bitstream-Vera', 'BitTorrent-1.0', 'BitTorrent-1.1', 'blessing', 'BlueOak-1.0.0', 'Boehm-GC', 'Borceux', 'Brian-Gladman-3-Clause', 'BSD-1-Clause', 'BSD-2-Clause', 'BSD-2-Clause-Patent', 'BSD-2-Clause-Views', 'BSD-3-Clause', 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'DRL-1.0', 'DSDP', 'dtoa', 'dvipdfm', 'ECL-1.0', 'ECL-2.0', 'EFL-1.0', 'EFL-2.0', 'eGenix', 'Elastic-2.0', 'Entessa', 'EPICS', 'EPL-1.0', 'EPL-2.0', 'ErlPL-1.1', 'etalab-2.0', 'EUDatagrid', 'EUPL-1.0', 'EUPL-1.1', 'EUPL-1.2', 'Eurosym', 'Fair', 'FDK-AAC', 'Frameworx-1.0', 'FreeBSD-DOC', 'FreeImage', 'FSFAP', 'FSFUL', 'FSFULLR', 'FSFULLRWD', 'FTL', 'GD', 'GFDL-1.1-invariants-only', 'GFDL-1.1-invariants-or-later', 'GFDL-1.1-no-invariants-only', 'GFDL-1.1-no-invariants-or-later', 'GFDL-1.1-only', 'GFDL-1.1-or-later', 'GFDL-1.2-invariants-only', 'GFDL-1.2-invariants-or-later', 'GFDL-1.2-no-invariants-only', 'GFDL-1.2-no-invariants-or-later', 'GFDL-1.2-only', 'GFDL-1.2-or-later', 'GFDL-1.3-invariants-only', 'GFDL-1.3-invariants-or-later', 'GFDL-1.3-no-invariants-only', 'GFDL-1.3-no-invariants-or-later', 'GFDL-1.3-only', 'GFDL-1.3-or-later', 'Giftware', 'GL2PS', 'Glide', 'Glulxe', 'GLWTPL', 'gnuplot', 'GPL-1.0-only', 'GPL-1.0-or-later', 'GPL-2.0-only', 'GPL-2.0-or-later', 'GPL-3.0-only', 'GPL-3.0-or-later', 'Graphics-Gems', 'gSOAP-1.3b', 'HaskellReport', 'Hippocratic-2.1', 'HP-1986', 'HPND', 'HPND-export-US', 'HPND-Markus-Kuhn', 'HPND-sell-variant', 'HPND-sell-variant-MIT-disclaimer', 'HTMLTIDY', 'IBM-pibs', 'ICU', 'IEC-Code-Components-EULA', 'IJG', 'IJG-short', 'ImageMagick', 'iMatix', 'Imlib2', 'Info-ZIP', 'Inner-Net-2.0', 'Intel', 'Intel-ACPI', 'Interbase-1.0', 'IPA', 'IPL-1.0', 'ISC', 'Jam', 'JasPer-2.0', 'JPL-image', 'JPNIC', 'JSON', 'Kazlib', 'Knuth-CTAN', 'LAL-1.2', 'LAL-1.3', 'Latex2e', 'Latex2e-translated-notice', 'Leptonica', 'LGPL-2.0-only', 'LGPL-2.0-or-later', 'LGPL-2.1-only', 'LGPL-2.1-or-later', 'LGPL-3.0-only', 'LGPL-3.0-or-later', 'LGPLLR', 'Libpng', 'libpng-2.0', 'libselinux-1.0', 'libtiff', 'libutil-David-Nugent', 'LiLiQ-P-1.1', 'LiLiQ-R-1.1', 'LiLiQ-Rplus-1.1', 'Linux-man-pages-1-para', 'Linux-man-pages-copyleft', 'Linux-man-pages-copyleft-2-para', 'Linux-man-pages-copyleft-var', 'Linux-OpenIB', 'LOOP', 'LPL-1.0', 'LPL-1.02', 'LPPL-1.0', 'LPPL-1.1', 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'OGL-UK-1.0', 'OGL-UK-2.0', 'OGL-UK-3.0', 'OGTSL', 'OLDAP-1.1', 'OLDAP-1.2', 'OLDAP-1.3', 'OLDAP-1.4', 'OLDAP-2.0', 'OLDAP-2.0.1', 'OLDAP-2.1', 'OLDAP-2.2', 'OLDAP-2.2.1', 'OLDAP-2.2.2', 'OLDAP-2.3', 'OLDAP-2.4', 'OLDAP-2.5', 'OLDAP-2.6', 'OLDAP-2.7', 'OLDAP-2.8', 'OLFL-1.3', 'OML', 'OpenPBS-2.3', 'OpenSSL', 'OPL-1.0', 'OPL-UK-3.0', 'OPUBL-1.0', 'OSET-PL-2.1', 'OSL-1.0', 'OSL-1.1', 'OSL-2.0', 'OSL-2.1', 'OSL-3.0', 'Parity-6.0.0', 'Parity-7.0.0', 'PDDL-1.0', 'PHP-3.0', 'PHP-3.01', 'Plexus', 'PolyForm-Noncommercial-1.0.0', 'PolyForm-Small-Business-1.0.0', 'PostgreSQL', 'PSF-2.0', 'psfrag', 'psutils', 'Python-2.0', 'Python-2.0.1', 'Qhull', 'QPL-1.0', 'QPL-1.0-INRIA-2004', 'Rdisc', 'RHeCos-1.1', 'RPL-1.1', 'RPL-1.5', 'RPSL-1.0', 'RSA-MD', 'RSCPL', 'Ruby', 'SAX-PD', 'Saxpath', 'SCEA', 'SchemeReport', 'Sendmail', 'Sendmail-8.23', 'SGI-B-1.0', 'SGI-B-1.1', 'SGI-B-2.0', 'SGP4', 'SHL-0.5', 'SHL-0.51', 'SimPL-2.0', 'SISSL', 'SISSL-1.2', 'Sleepycat', 'SMLNJ', 'SMPPL', 'SNIA', 'snprintf', 'Spencer-86', 'Spencer-94', 'Spencer-99', 'SPL-1.0', 'SSH-OpenSSH', 'SSH-short', 'SSPL-1.0', 'SugarCRM-1.1.3', 'SunPro', 'SWL', 'Symlinks', 'TAPR-OHL-1.0', 'TCL', 'TCP-wrappers', 'TermReadKey', 'TMate', 'TORQUE-1.1', 'TOSL', 'TPDL', 'TPL-1.0', 'TTWL', 'TU-Berlin-1.0', 'TU-Berlin-2.0', 'UCAR', 'UCL-1.0', 'Unicode-DFS-2015', 'Unicode-DFS-2016', 'Unicode-TOU', 'UnixCrypt', 'Unlicense', 'UPL-1.0', 'Vim', 'VOSTROM', 'VSL-1.0', 'W3C', 'W3C-19980720', 'W3C-20150513', 'w3m', 'Watcom-1.0', 'Widget-Workshop', 'Wsuipa', 'WTFPL', 'X11', 'X11-distribute-modifications-variant', 'Xdebug-1.03', 'Xerox', 'Xfig', 'XFree86-1.1', 'xinetd', 'xlock', 'Xnet', 'xpp', 'XSkat', 'YPL-1.0', 'YPL-1.1', 'Zed', 'Zend-2.0', 'Zimbra-1.3', 'Zimbra-1.4', 'Zlib', 'zlib-acknowledgement', 'ZPL-1.1', 'ZPL-2.0', 'ZPL-2.1']]", "kind": "class", "doc": "

Usage docs: https://docs.pydantic.dev/2.6/concepts/models/#rootmodel-and-custom-root-types

\n\n

A Pydantic BaseModel for the root object of the model.

\n\n

Attributes:\n root: The root object of the model.\n __pydantic_root_model__: Whether the model is a RootModel.\n __pydantic_private__: Private fields in the model.\n __pydantic_extra__: Extra fields in the model.

\n", "bases": "pydantic.main.BaseModel, typing.Generic[~RootModelRootType]"}, "bioimageio.spec._internal.node": {"fullname": "bioimageio.spec._internal.node", "modulename": "bioimageio.spec._internal.node", "kind": "module", "doc": "

\n"}, "bioimageio.spec._internal.node.Node": {"fullname": "bioimageio.spec._internal.node.Node", "modulename": "bioimageio.spec._internal.node", "qualname": "Node", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "pydantic.main.BaseModel"}, "bioimageio.spec._internal.node.Node.model_validate": {"fullname": "bioimageio.spec._internal.node.Node.model_validate", "modulename": "bioimageio.spec._internal.node", "qualname": "Node.model_validate", "kind": "function", "doc": "

Validate a pydantic model instance.

\n\n

Args:\n obj: The object to validate.\n strict: Whether to raise an exception on invalid fields.\n from_attributes: Whether to extract data from object attributes.\n context: Additional context to pass to the validator.

\n\n

Raises:\n ValidationError: If the object failed validation.

\n\n

Returns:\n The validated description instance.

\n", "signature": "(\tcls,\tobj: Union[Any, Dict[str, Any]],\t*,\tstrict: Optional[bool] = None,\tfrom_attributes: Optional[bool] = None,\tcontext: Union[bioimageio.spec._internal.validation_context.ValidationContext, Dict[str, Any], NoneType] = None) -> Self:", "funcdef": "def"}, "bioimageio.spec._internal.node.Node.model_config": {"fullname": "bioimageio.spec._internal.node.Node.model_config", "modulename": "bioimageio.spec._internal.node", "qualname": "Node.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec._internal.node.Node.model_fields": {"fullname": "bioimageio.spec._internal.node.Node.model_fields", "modulename": "bioimageio.spec._internal.node", "qualname": "Node.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec._internal.node.Node.model_computed_fields": {"fullname": "bioimageio.spec._internal.node.Node.model_computed_fields", "modulename": "bioimageio.spec._internal.node", "qualname": "Node.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec._internal.packaging_context": {"fullname": "bioimageio.spec._internal.packaging_context", "modulename": "bioimageio.spec._internal.packaging_context", "kind": "module", "doc": "

\n"}, "bioimageio.spec._internal.packaging_context.PackagingContext": {"fullname": "bioimageio.spec._internal.packaging_context.PackagingContext", "modulename": "bioimageio.spec._internal.packaging_context", "qualname": "PackagingContext", "kind": "class", "doc": "

\n"}, "bioimageio.spec._internal.packaging_context.PackagingContext.__init__": {"fullname": "bioimageio.spec._internal.packaging_context.PackagingContext.__init__", "modulename": "bioimageio.spec._internal.packaging_context", "qualname": "PackagingContext.__init__", "kind": "function", "doc": "

\n", "signature": "(\tbioimageio_yaml_file_name: str,\tfile_sources: Dict[str, Union[Annotated[pathlib.Path, PathType(path_type='file'), Predicate(func=<function PurePath.is_absolute>)], bioimageio.spec._internal.url.HttpUrl]] = <factory>)"}, "bioimageio.spec._internal.packaging_context.PackagingContext.bioimageio_yaml_file_name": {"fullname": "bioimageio.spec._internal.packaging_context.PackagingContext.bioimageio_yaml_file_name", "modulename": "bioimageio.spec._internal.packaging_context", "qualname": "PackagingContext.bioimageio_yaml_file_name", "kind": "variable", "doc": "

\n", "annotation": ": str"}, "bioimageio.spec._internal.packaging_context.PackagingContext.file_sources": {"fullname": "bioimageio.spec._internal.packaging_context.PackagingContext.file_sources", "modulename": "bioimageio.spec._internal.packaging_context", "qualname": "PackagingContext.file_sources", "kind": "variable", "doc": "

File sources to include in the packaged resource

\n", "annotation": ": Dict[str, Union[Annotated[pathlib.Path, PathType(path_type='file'), Predicate(func=<function PurePath.is_absolute at 0x7f46ae045940>)], bioimageio.spec._internal.url.HttpUrl]]"}, "bioimageio.spec._internal.packaging_context.PackagingContext.replace": {"fullname": "bioimageio.spec._internal.packaging_context.PackagingContext.replace", "modulename": "bioimageio.spec._internal.packaging_context", "qualname": "PackagingContext.replace", "kind": "function", "doc": "

return a modiefied copy

\n", "signature": "(\tself,\t*,\tbioimageio_yaml_file_name: Optional[str] = None,\tfile_sources: Optional[Dict[str, Union[Annotated[pathlib.Path, PathType(path_type='file'), Predicate(func=<function PurePath.is_absolute>)], bioimageio.spec._internal.url.HttpUrl]]] = None) -> bioimageio.spec._internal.packaging_context.PackagingContext:", "funcdef": "def"}, "bioimageio.spec._internal.packaging_context.packaging_context_var": {"fullname": "bioimageio.spec._internal.packaging_context.packaging_context_var", "modulename": "bioimageio.spec._internal.packaging_context", "qualname": "packaging_context_var", "kind": "variable", "doc": "

\n", "annotation": ": _contextvars.ContextVar[typing.Optional[bioimageio.spec._internal.packaging_context.PackagingContext]]", "default_value": "<ContextVar name='packaging_context_var' default=None>"}, "bioimageio.spec._internal.root_url": {"fullname": "bioimageio.spec._internal.root_url", "modulename": "bioimageio.spec._internal.root_url", "kind": "module", "doc": "

\n"}, "bioimageio.spec._internal.root_url.RootHttpUrl": {"fullname": "bioimageio.spec._internal.root_url.RootHttpUrl", "modulename": "bioimageio.spec._internal.root_url", "qualname": "RootHttpUrl", "kind": "class", "doc": "

A 'URL folder', possibly an invalid http URL

\n", "bases": "pydantic.main.BaseModel, typing.Generic[~RootModelRootType]"}, "bioimageio.spec._internal.root_url.RootHttpUrl.scheme": {"fullname": "bioimageio.spec._internal.root_url.RootHttpUrl.scheme", "modulename": "bioimageio.spec._internal.root_url", "qualname": "RootHttpUrl.scheme", "kind": "variable", "doc": "

\n", "annotation": ": str"}, "bioimageio.spec._internal.root_url.RootHttpUrl.host": {"fullname": "bioimageio.spec._internal.root_url.RootHttpUrl.host", "modulename": "bioimageio.spec._internal.root_url", "qualname": "RootHttpUrl.host", "kind": "variable", "doc": "

\n", "annotation": ": Optional[str]"}, "bioimageio.spec._internal.root_url.RootHttpUrl.path": {"fullname": "bioimageio.spec._internal.root_url.RootHttpUrl.path", "modulename": "bioimageio.spec._internal.root_url", "qualname": "RootHttpUrl.path", "kind": "variable", "doc": "

\n", "annotation": ": Optional[str]"}, "bioimageio.spec._internal.root_url.RootHttpUrl.parent": {"fullname": "bioimageio.spec._internal.root_url.RootHttpUrl.parent", "modulename": "bioimageio.spec._internal.root_url", "qualname": "RootHttpUrl.parent", "kind": "variable", "doc": "

\n", "annotation": ": bioimageio.spec._internal.root_url.RootHttpUrl"}, "bioimageio.spec._internal.types": {"fullname": "bioimageio.spec._internal.types", "modulename": "bioimageio.spec._internal.types", "kind": "module", "doc": "

\n"}, "bioimageio.spec._internal.types.NotEmpty": {"fullname": "bioimageio.spec._internal.types.NotEmpty", "modulename": "bioimageio.spec._internal.types", "qualname": "NotEmpty", "kind": "variable", "doc": "

\n", "default_value": "typing.Annotated[~S, MinLen(min_length=1)]"}, "bioimageio.spec._internal.types.Datetime": {"fullname": "bioimageio.spec._internal.types.Datetime", "modulename": "bioimageio.spec._internal.types", "qualname": "Datetime", "kind": "class", "doc": "

Timestamp in ISO 8601 format\nwith a few restrictions listed here.

\n", "bases": "pydantic.main.BaseModel, typing.Generic[~RootModelRootType]"}, "bioimageio.spec._internal.types.Doi": {"fullname": "bioimageio.spec._internal.types.Doi", "modulename": "bioimageio.spec._internal.types", "qualname": "Doi", "kind": "variable", "doc": "

\n", "default_value": "<class 'bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, StringConstraints]]'>"}, "bioimageio.spec._internal.types.FormatVersionPlaceholder": {"fullname": "bioimageio.spec._internal.types.FormatVersionPlaceholder", "modulename": "bioimageio.spec._internal.types", "qualname": "FormatVersionPlaceholder", "kind": "variable", "doc": "

\n", "default_value": "typing.Literal['latest', 'discover']"}, "bioimageio.spec._internal.types.IdentifierAnno": {"fullname": "bioimageio.spec._internal.types.IdentifierAnno", "modulename": "bioimageio.spec._internal.types", "qualname": "IdentifierAnno", "kind": "variable", "doc": "

\n", "default_value": "typing.Annotated[str, MinLen(min_length=1), AfterValidator(func=<function _validate_identifier>), AfterValidator(func=<function _validate_is_not_keyword>)]"}, "bioimageio.spec._internal.types.Identifier": {"fullname": "bioimageio.spec._internal.types.Identifier", "modulename": "bioimageio.spec._internal.types", "qualname": "Identifier", "kind": "variable", "doc": "

\n", "default_value": "<class 'bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, AfterValidator, AfterValidator]]'>"}, "bioimageio.spec._internal.types.LowerCaseIdentifierAnno": {"fullname": "bioimageio.spec._internal.types.LowerCaseIdentifierAnno", "modulename": "bioimageio.spec._internal.types", "qualname": "LowerCaseIdentifierAnno", "kind": "variable", "doc": "

\n", "default_value": "typing.Annotated[str, MinLen(min_length=1), AfterValidator(func=<function _validate_identifier>), AfterValidator(func=<function _validate_is_not_keyword>), typing.Annotated[~_StrType, Predicate(func=<method 'islower' of 'str' objects>)]]"}, "bioimageio.spec._internal.types.LowerCaseIdentifier": {"fullname": "bioimageio.spec._internal.types.LowerCaseIdentifier", "modulename": "bioimageio.spec._internal.types", "qualname": "LowerCaseIdentifier", "kind": "variable", "doc": "

\n", "default_value": "<class 'bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, AfterValidator, AfterValidator, Annotated[TypeVar, Predicate]]]'>"}, "bioimageio.spec._internal.types.OrcidId": {"fullname": "bioimageio.spec._internal.types.OrcidId", "modulename": "bioimageio.spec._internal.types", "qualname": "OrcidId", "kind": "variable", "doc": "

\n", "default_value": "<class 'bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, AfterValidator]]'>"}, "bioimageio.spec._internal.types.SiUnit": {"fullname": "bioimageio.spec._internal.types.SiUnit", "modulename": "bioimageio.spec._internal.types", "qualname": "SiUnit", "kind": "variable", "doc": "

\n", "default_value": "<class 'bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, StringConstraints, BeforeValidator]]'>"}, "bioimageio.spec._internal.types.ResourceId": {"fullname": "bioimageio.spec._internal.types.ResourceId", "modulename": "bioimageio.spec._internal.types", "qualname": "ResourceId", "kind": "variable", "doc": "

\n", "default_value": "<class 'bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]]'>"}, "bioimageio.spec._internal.types.ApplicationId": {"fullname": "bioimageio.spec._internal.types.ApplicationId", "modulename": "bioimageio.spec._internal.types", "qualname": "ApplicationId", "kind": "variable", "doc": "

\n", "default_value": "<class 'bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]]'>"}, "bioimageio.spec._internal.types.CollectionId": {"fullname": "bioimageio.spec._internal.types.CollectionId", "modulename": "bioimageio.spec._internal.types", "qualname": "CollectionId", "kind": "variable", "doc": "

\n", "default_value": "<class 'bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]]'>"}, "bioimageio.spec._internal.types.DatasetId": {"fullname": "bioimageio.spec._internal.types.DatasetId", "modulename": "bioimageio.spec._internal.types", "qualname": "DatasetId", "kind": "variable", "doc": "

\n", "default_value": "<class 'bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]]'>"}, "bioimageio.spec._internal.types.ModelId": {"fullname": "bioimageio.spec._internal.types.ModelId", "modulename": "bioimageio.spec._internal.types", "qualname": "ModelId", "kind": "variable", "doc": "

\n", "default_value": "<class 'bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]]'>"}, "bioimageio.spec._internal.types.NotebookId": {"fullname": "bioimageio.spec._internal.types.NotebookId", "modulename": "bioimageio.spec._internal.types", "qualname": "NotebookId", "kind": "variable", "doc": "

\n", "default_value": "<class 'bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]]'>"}, "bioimageio.spec._internal.url": {"fullname": "bioimageio.spec._internal.url", "modulename": "bioimageio.spec._internal.url", "kind": "module", "doc": "

\n"}, "bioimageio.spec._internal.url.check_url": {"fullname": "bioimageio.spec._internal.url.check_url", "modulename": "bioimageio.spec._internal.url", "qualname": "check_url", "kind": "function", "doc": "

\n", "signature": "(url: str) -> None:", "funcdef": "def"}, "bioimageio.spec._internal.url.HttpUrl": {"fullname": "bioimageio.spec._internal.url.HttpUrl", "modulename": "bioimageio.spec._internal.url", "qualname": "HttpUrl", "kind": "class", "doc": "

A 'URL folder', possibly an invalid http URL

\n", "bases": "pydantic.main.BaseModel, typing.Generic[~RootModelRootType]"}, "bioimageio.spec._internal.utils": {"fullname": "bioimageio.spec._internal.utils", "modulename": "bioimageio.spec._internal.utils", "kind": "module", "doc": "

\n"}, "bioimageio.spec._internal.utils.NestedDict": {"fullname": "bioimageio.spec._internal.utils.NestedDict", "modulename": "bioimageio.spec._internal.utils", "qualname": "NestedDict", "kind": "variable", "doc": "

\n", "default_value": "typing.Dict[~K, ForwardRef('NestedDict[K, V] | V')]"}, "bioimageio.spec._internal.utils.nest_dict": {"fullname": "bioimageio.spec._internal.utils.nest_dict", "modulename": "bioimageio.spec._internal.utils", "qualname": "nest_dict", "kind": "function", "doc": "

\n", "signature": "(flat_dict: Dict[Tuple[~K, ...], ~V]) -> 'NestedDict[K, V]':", "funcdef": "def"}, "bioimageio.spec._internal.utils.nest_dict_with_narrow_first_key": {"fullname": "bioimageio.spec._internal.utils.nest_dict_with_narrow_first_key", "modulename": "bioimageio.spec._internal.utils", "qualname": "nest_dict_with_narrow_first_key", "kind": "function", "doc": "

convenience function to annotate a special version of a NestedDict.\nRoot level keys are of a narrower type than the nested keys. If not a ValueError is raisd.

\n", "signature": "(\tflat_dict: Dict[Tuple[~K, ...], ~V],\tfirst_k: Type[~FirstK]) -> "Dict[FirstK, 'NestedDict[K, V] | V']":", "funcdef": "def"}, "bioimageio.spec._internal.utils.unindent": {"fullname": "bioimageio.spec._internal.utils.unindent", "modulename": "bioimageio.spec._internal.utils", "qualname": "unindent", "kind": "function", "doc": "

remove minimum count of spaces at beginning of each line.

\n\n

Args:\n text: indented text\n ignore_first_line: allows to correctly unindent doc strings

\n", "signature": "(text: str, ignore_first_line: bool = False):", "funcdef": "def"}, "bioimageio.spec._internal.utils.P": {"fullname": "bioimageio.spec._internal.utils.P", "modulename": "bioimageio.spec._internal.utils", "qualname": "P", "kind": "variable", "doc": "

\n", "default_value": "~P"}, "bioimageio.spec._internal.utils.assert_all_params_set_explicitly": {"fullname": "bioimageio.spec._internal.utils.assert_all_params_set_explicitly", "modulename": "bioimageio.spec._internal.utils", "qualname": "assert_all_params_set_explicitly", "kind": "function", "doc": "

\n", "signature": "(fn: Callable[~P, ~T]) -> Callable[~P, ~T]:", "funcdef": "def"}, "bioimageio.spec._internal.validated_string": {"fullname": "bioimageio.spec._internal.validated_string", "modulename": "bioimageio.spec._internal.validated_string", "kind": "module", "doc": "

\n"}, "bioimageio.spec._internal.validated_string.ValidatedString": {"fullname": "bioimageio.spec._internal.validated_string.ValidatedString", "modulename": "bioimageio.spec._internal.validated_string", "qualname": "ValidatedString", "kind": "class", "doc": "

Usage docs: https://docs.pydantic.dev/2.6/concepts/models/#rootmodel-and-custom-root-types

\n\n

A Pydantic BaseModel for the root object of the model.

\n\n

Attributes:\n root: The root object of the model.\n __pydantic_root_model__: Whether the model is a RootModel.\n __pydantic_private__: Private fields in the model.\n __pydantic_extra__: Extra fields in the model.

\n", "bases": "pydantic.main.BaseModel, typing.Generic[~RootModelRootType]"}, "bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, AfterValidator]]": {"fullname": "bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, AfterValidator]]", "modulename": "bioimageio.spec._internal.validated_string", "qualname": "ValidatedString[Annotated[str, AfterValidator]]", "kind": "class", "doc": "

Usage docs: https://docs.pydantic.dev/2.6/concepts/models/#rootmodel-and-custom-root-types

\n\n

A Pydantic BaseModel for the root object of the model.

\n\n

Attributes:\n root: The root object of the model.\n __pydantic_root_model__: Whether the model is a RootModel.\n __pydantic_private__: Private fields in the model.\n __pydantic_extra__: Extra fields in the model.

\n", "bases": "pydantic.main.BaseModel, typing.Generic[~RootModelRootType]"}, "bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, StringConstraints]]": {"fullname": "bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, StringConstraints]]", "modulename": "bioimageio.spec._internal.validated_string", "qualname": "ValidatedString[Annotated[str, StringConstraints]]", "kind": "class", "doc": "

Usage docs: https://docs.pydantic.dev/2.6/concepts/models/#rootmodel-and-custom-root-types

\n\n

A Pydantic BaseModel for the root object of the model.

\n\n

Attributes:\n root: The root object of the model.\n __pydantic_root_model__: Whether the model is a RootModel.\n __pydantic_private__: Private fields in the model.\n __pydantic_extra__: Extra fields in the model.

\n", "bases": "pydantic.main.BaseModel, typing.Generic[~RootModelRootType]"}, "bioimageio.spec._internal.validated_string.ValidatedString[TypeVar]": {"fullname": "bioimageio.spec._internal.validated_string.ValidatedString[TypeVar]", "modulename": "bioimageio.spec._internal.validated_string", "qualname": "ValidatedString[TypeVar]", "kind": "class", "doc": "

Usage docs: https://docs.pydantic.dev/2.6/concepts/models/#rootmodel-and-custom-root-types

\n\n

A Pydantic BaseModel for the root object of the model.

\n\n

Attributes:\n root: The root object of the model.\n __pydantic_root_model__: Whether the model is a RootModel.\n __pydantic_private__: Private fields in the model.\n __pydantic_extra__: Extra fields in the model.

\n", "bases": "pydantic.main.BaseModel, typing.Generic[~RootModelRootType]"}, "bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, StringConstraints]]_": {"fullname": "bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, StringConstraints]]_", "modulename": "bioimageio.spec._internal.validated_string", "qualname": "ValidatedString[Annotated[str, StringConstraints]]_", "kind": "variable", "doc": "

\n", "default_value": "<class 'bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, StringConstraints]]'>"}, "bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, AfterValidator, AfterValidator]]": {"fullname": "bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, AfterValidator, AfterValidator]]", "modulename": "bioimageio.spec._internal.validated_string", "qualname": "ValidatedString[Annotated[str, MinLen, AfterValidator, AfterValidator]]", "kind": "class", "doc": "

Usage docs: https://docs.pydantic.dev/2.6/concepts/models/#rootmodel-and-custom-root-types

\n\n

A Pydantic BaseModel for the root object of the model.

\n\n

Attributes:\n root: The root object of the model.\n __pydantic_root_model__: Whether the model is a RootModel.\n __pydantic_private__: Private fields in the model.\n __pydantic_extra__: Extra fields in the model.

\n", "bases": "pydantic.main.BaseModel, typing.Generic[~RootModelRootType]"}, "bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, AfterValidator, AfterValidator, Annotated[TypeVar, Predicate]]]": {"fullname": "bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, AfterValidator, AfterValidator, Annotated[TypeVar, Predicate]]]", "modulename": "bioimageio.spec._internal.validated_string", "qualname": "ValidatedString[Annotated[str, MinLen, AfterValidator, AfterValidator, Annotated[TypeVar, Predicate]]]", "kind": "class", "doc": "

Usage docs: https://docs.pydantic.dev/2.6/concepts/models/#rootmodel-and-custom-root-types

\n\n

A Pydantic BaseModel for the root object of the model.

\n\n

Attributes:\n root: The root object of the model.\n __pydantic_root_model__: Whether the model is a RootModel.\n __pydantic_private__: Private fields in the model.\n __pydantic_extra__: Extra fields in the model.

\n", "bases": "pydantic.main.BaseModel, typing.Generic[~RootModelRootType]"}, "bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, AfterValidator]]_": {"fullname": "bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, AfterValidator]]_", "modulename": "bioimageio.spec._internal.validated_string", "qualname": "ValidatedString[Annotated[str, AfterValidator]]_", "kind": "variable", "doc": "

\n", "default_value": "<class 'bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, AfterValidator]]'>"}, "bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, StringConstraints, BeforeValidator]]": {"fullname": "bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, StringConstraints, BeforeValidator]]", "modulename": "bioimageio.spec._internal.validated_string", "qualname": "ValidatedString[Annotated[str, StringConstraints, BeforeValidator]]", "kind": "class", "doc": "

Usage docs: https://docs.pydantic.dev/2.6/concepts/models/#rootmodel-and-custom-root-types

\n\n

A Pydantic BaseModel for the root object of the model.

\n\n

Attributes:\n root: The root object of the model.\n __pydantic_root_model__: Whether the model is a RootModel.\n __pydantic_private__: Private fields in the model.\n __pydantic_extra__: Extra fields in the model.

\n", "bases": "pydantic.main.BaseModel, typing.Generic[~RootModelRootType]"}, "bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]]": {"fullname": "bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]]", "modulename": "bioimageio.spec._internal.validated_string", "qualname": "ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]]", "kind": "class", "doc": "

Usage docs: https://docs.pydantic.dev/2.6/concepts/models/#rootmodel-and-custom-root-types

\n\n

A Pydantic BaseModel for the root object of the model.

\n\n

Attributes:\n root: The root object of the model.\n __pydantic_root_model__: Whether the model is a RootModel.\n __pydantic_private__: Private fields in the model.\n __pydantic_extra__: Extra fields in the model.

\n", "bases": "pydantic.main.BaseModel, typing.Generic[~RootModelRootType]"}, "bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, AfterValidator, AfterValidator, Annotated[TypeVar, Predicate], MaxLen]]": {"fullname": "bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, AfterValidator, AfterValidator, Annotated[TypeVar, Predicate], MaxLen]]", "modulename": "bioimageio.spec._internal.validated_string", "qualname": "ValidatedString[Annotated[str, MinLen, AfterValidator, AfterValidator, Annotated[TypeVar, Predicate], MaxLen]]", "kind": "class", "doc": "

Usage docs: https://docs.pydantic.dev/2.6/concepts/models/#rootmodel-and-custom-root-types

\n\n

A Pydantic BaseModel for the root object of the model.

\n\n

Attributes:\n root: The root object of the model.\n __pydantic_root_model__: Whether the model is a RootModel.\n __pydantic_private__: Private fields in the model.\n __pydantic_extra__: Extra fields in the model.

\n", "bases": "pydantic.main.BaseModel, typing.Generic[~RootModelRootType]"}, "bioimageio.spec._internal.validation_context": {"fullname": "bioimageio.spec._internal.validation_context", "modulename": "bioimageio.spec._internal.validation_context", "kind": "module", "doc": "

\n"}, "bioimageio.spec._internal.validation_context.ValidationContext": {"fullname": "bioimageio.spec._internal.validation_context.ValidationContext", "modulename": "bioimageio.spec._internal.validation_context", "qualname": "ValidationContext", "kind": "class", "doc": "

\n"}, "bioimageio.spec._internal.validation_context.ValidationContext.__init__": {"fullname": "bioimageio.spec._internal.validation_context.ValidationContext.__init__", "modulename": "bioimageio.spec._internal.validation_context", "qualname": "ValidationContext.__init__", "kind": "function", "doc": "

\n", "signature": "(\troot: Union[bioimageio.spec._internal.root_url.RootHttpUrl, Annotated[pathlib.Path, PathType(path_type='dir'), Predicate(func=<function PurePath.is_absolute>)]] = PosixPath('.'),\twarning_level: Literal[20, 30, 35, 50] = 50,\tlog_warnings: bool = True,\tfile_name: Optional[str] = None,\tperform_io_checks: bool = True)"}, "bioimageio.spec._internal.validation_context.ValidationContext.root": {"fullname": "bioimageio.spec._internal.validation_context.ValidationContext.root", "modulename": "bioimageio.spec._internal.validation_context", "qualname": "ValidationContext.root", "kind": "variable", "doc": "

url/directory serving as base to resolve any relative file paths

\n", "annotation": ": Union[bioimageio.spec._internal.root_url.RootHttpUrl, Annotated[pathlib.Path, PathType(path_type='dir'), Predicate(func=<function PurePath.is_absolute at 0x7f46ae045940>)]]", "default_value": "PosixPath('.')"}, "bioimageio.spec._internal.validation_context.ValidationContext.warning_level": {"fullname": "bioimageio.spec._internal.validation_context.ValidationContext.warning_level", "modulename": "bioimageio.spec._internal.validation_context", "qualname": "ValidationContext.warning_level", "kind": "variable", "doc": "

raise warnings of severity s as validation errors if s >= warning_level

\n", "annotation": ": Literal[20, 30, 35, 50]", "default_value": "50"}, "bioimageio.spec._internal.validation_context.ValidationContext.log_warnings": {"fullname": "bioimageio.spec._internal.validation_context.ValidationContext.log_warnings", "modulename": "bioimageio.spec._internal.validation_context", "qualname": "ValidationContext.log_warnings", "kind": "variable", "doc": "

if True log warnings that are not raised to the console

\n", "annotation": ": bool", "default_value": "True"}, "bioimageio.spec._internal.validation_context.ValidationContext.file_name": {"fullname": "bioimageio.spec._internal.validation_context.ValidationContext.file_name", "modulename": "bioimageio.spec._internal.validation_context", "qualname": "ValidationContext.file_name", "kind": "variable", "doc": "

file name of the bioimageio Yaml file

\n", "annotation": ": Optional[str]", "default_value": "None"}, "bioimageio.spec._internal.validation_context.ValidationContext.perform_io_checks": {"fullname": "bioimageio.spec._internal.validation_context.ValidationContext.perform_io_checks", "modulename": "bioimageio.spec._internal.validation_context", "qualname": "ValidationContext.perform_io_checks", "kind": "variable", "doc": "

wether or not to perform validation that requires file io,\ne.g. downloading a remote files.

\n\n

Existence of local absolute file paths is still being checked.

\n", "annotation": ": bool", "default_value": "True"}, "bioimageio.spec._internal.validation_context.ValidationContext.replace": {"fullname": "bioimageio.spec._internal.validation_context.ValidationContext.replace", "modulename": "bioimageio.spec._internal.validation_context", "qualname": "ValidationContext.replace", "kind": "function", "doc": "

\n", "signature": "(\tself,\troot: Union[bioimageio.spec._internal.root_url.RootHttpUrl, Annotated[pathlib.Path, PathType(path_type='dir')], NoneType] = None,\twarning_level: Optional[Literal[20, 30, 35, 50]] = None,\tlog_warnings: Optional[bool] = None,\tfile_name: Optional[str] = None,\tperform_io_checks: Optional[bool] = None) -> bioimageio.spec._internal.validation_context.ValidationContext:", "funcdef": "def"}, "bioimageio.spec._internal.validation_context.ValidationContext.source_name": {"fullname": "bioimageio.spec._internal.validation_context.ValidationContext.source_name", "modulename": "bioimageio.spec._internal.validation_context", "qualname": "ValidationContext.source_name", "kind": "variable", "doc": "

\n", "annotation": ": str"}, "bioimageio.spec._internal.validation_context.validation_context_var": {"fullname": "bioimageio.spec._internal.validation_context.validation_context_var", "modulename": "bioimageio.spec._internal.validation_context", "qualname": "validation_context_var", "kind": "variable", "doc": "

\n", "annotation": ": _contextvars.ContextVar[bioimageio.spec._internal.validation_context.ValidationContext]", "default_value": "<ContextVar name='validation_context_var' default=ValidationContext(_context_tokens=[], root=PosixPath('.'), warning_level=50, log_warnings=True, file_name=None, perform_io_checks=True)>"}, "bioimageio.spec._internal.validator_annotations": {"fullname": "bioimageio.spec._internal.validator_annotations", "modulename": "bioimageio.spec._internal.validator_annotations", "kind": "module", "doc": "

\n"}, "bioimageio.spec._internal.validator_annotations.AfterValidator": {"fullname": "bioimageio.spec._internal.validator_annotations.AfterValidator", "modulename": "bioimageio.spec._internal.validator_annotations", "qualname": "AfterValidator", "kind": "class", "doc": "

\n", "bases": "pydantic.functional_validators.AfterValidator"}, "bioimageio.spec._internal.validator_annotations.AfterValidator.__init__": {"fullname": "bioimageio.spec._internal.validator_annotations.AfterValidator.__init__", "modulename": "bioimageio.spec._internal.validator_annotations", "qualname": "AfterValidator.__init__", "kind": "function", "doc": "

\n", "signature": "(\tfunc: 'core_schema.NoInfoValidatorFunction | core_schema.WithInfoValidatorFunction')"}, "bioimageio.spec._internal.validator_annotations.BeforeValidator": {"fullname": "bioimageio.spec._internal.validator_annotations.BeforeValidator", "modulename": "bioimageio.spec._internal.validator_annotations", "qualname": "BeforeValidator", "kind": "class", "doc": "

\n", "bases": "pydantic.functional_validators.BeforeValidator"}, "bioimageio.spec._internal.validator_annotations.BeforeValidator.__init__": {"fullname": "bioimageio.spec._internal.validator_annotations.BeforeValidator.__init__", "modulename": "bioimageio.spec._internal.validator_annotations", "qualname": "BeforeValidator.__init__", "kind": "function", "doc": "

\n", "signature": "(\tfunc: 'core_schema.NoInfoValidatorFunction | core_schema.WithInfoValidatorFunction')"}, "bioimageio.spec._internal.validator_annotations.Predicate": {"fullname": "bioimageio.spec._internal.validator_annotations.Predicate", "modulename": "bioimageio.spec._internal.validator_annotations", "qualname": "Predicate", "kind": "class", "doc": "

\n", "bases": "annotated_types.Predicate"}, "bioimageio.spec._internal.validator_annotations.Predicate.__init__": {"fullname": "bioimageio.spec._internal.validator_annotations.Predicate.__init__", "modulename": "bioimageio.spec._internal.validator_annotations", "qualname": "Predicate.__init__", "kind": "function", "doc": "

\n", "signature": "(func: Callable[[Any], bool])"}, "bioimageio.spec._internal.validator_annotations.RestrictCharacters": {"fullname": "bioimageio.spec._internal.validator_annotations.RestrictCharacters", "modulename": "bioimageio.spec._internal.validator_annotations", "qualname": "RestrictCharacters", "kind": "class", "doc": "

\n"}, "bioimageio.spec._internal.validator_annotations.RestrictCharacters.__init__": {"fullname": "bioimageio.spec._internal.validator_annotations.RestrictCharacters.__init__", "modulename": "bioimageio.spec._internal.validator_annotations", "qualname": "RestrictCharacters.__init__", "kind": "function", "doc": "

\n", "signature": "(alphabet: str)"}, "bioimageio.spec._internal.validator_annotations.RestrictCharacters.alphabet": {"fullname": "bioimageio.spec._internal.validator_annotations.RestrictCharacters.alphabet", "modulename": "bioimageio.spec._internal.validator_annotations", "qualname": "RestrictCharacters.alphabet", "kind": "variable", "doc": "

\n", "annotation": ": str"}, "bioimageio.spec._internal.validator_annotations.RestrictCharacters.validate": {"fullname": "bioimageio.spec._internal.validator_annotations.RestrictCharacters.validate", "modulename": "bioimageio.spec._internal.validator_annotations", "qualname": "RestrictCharacters.validate", "kind": "function", "doc": "

\n", "signature": "(self, value: str) -> str:", "funcdef": "def"}, "bioimageio.spec._internal.version_type": {"fullname": "bioimageio.spec._internal.version_type", "modulename": "bioimageio.spec._internal.version_type", "kind": "module", "doc": "

\n"}, "bioimageio.spec._internal.version_type.Version": {"fullname": "bioimageio.spec._internal.version_type.Version", "modulename": "bioimageio.spec._internal.version_type", "qualname": "Version", "kind": "class", "doc": "

wraps a packaging.version.Version instance for validation in pydantic models

\n", "bases": "pydantic.main.BaseModel, typing.Generic[~RootModelRootType]"}, "bioimageio.spec._internal.version_type.Version.epoch": {"fullname": "bioimageio.spec._internal.version_type.Version.epoch", "modulename": "bioimageio.spec._internal.version_type", "qualname": "Version.epoch", "kind": "variable", "doc": "

The epoch of the version.

\n\n
\n
>>> Version("2.0.0").epoch\n0\n>>> Version("1!2.0.0").epoch\n1\n
\n
\n", "annotation": ": int"}, "bioimageio.spec._internal.version_type.Version.release": {"fullname": "bioimageio.spec._internal.version_type.Version.release", "modulename": "bioimageio.spec._internal.version_type", "qualname": "Version.release", "kind": "variable", "doc": "

The components of the \"release\" segment of the version.

\n\n
\n
>>> Version("1.2.3").release\n(1, 2, 3)\n>>> Version("2.0.0").release\n(2, 0, 0)\n>>> Version("1!2.0.0.post0").release\n(2, 0, 0)\n
\n
\n\n

Includes trailing zeroes but not the epoch or any pre-release / development /\npost-release suffixes.

\n", "annotation": ": Tuple[int, ...]"}, "bioimageio.spec._internal.version_type.Version.pre": {"fullname": "bioimageio.spec._internal.version_type.Version.pre", "modulename": "bioimageio.spec._internal.version_type", "qualname": "Version.pre", "kind": "variable", "doc": "

The pre-release segment of the version.

\n\n
\n
>>> print(Version("1.2.3").pre)\nNone\n>>> Version("1.2.3a1").pre\n('a', 1)\n>>> Version("1.2.3b1").pre\n('b', 1)\n>>> Version("1.2.3rc1").pre\n('rc', 1)\n
\n
\n", "annotation": ": Optional[Tuple[str, int]]"}, "bioimageio.spec._internal.version_type.Version.post": {"fullname": "bioimageio.spec._internal.version_type.Version.post", "modulename": "bioimageio.spec._internal.version_type", "qualname": "Version.post", "kind": "variable", "doc": "

The post-release number of the version.

\n\n
\n
>>> print(Version("1.2.3").post)\nNone\n>>> Version("1.2.3.post1").post\n1\n
\n
\n", "annotation": ": Optional[int]"}, "bioimageio.spec._internal.version_type.Version.dev": {"fullname": "bioimageio.spec._internal.version_type.Version.dev", "modulename": "bioimageio.spec._internal.version_type", "qualname": "Version.dev", "kind": "variable", "doc": "

The development number of the version.

\n\n
\n
>>> print(Version("1.2.3").dev)\nNone\n>>> Version("1.2.3.dev1").dev\n1\n
\n
\n", "annotation": ": Optional[int]"}, "bioimageio.spec._internal.version_type.Version.local": {"fullname": "bioimageio.spec._internal.version_type.Version.local", "modulename": "bioimageio.spec._internal.version_type", "qualname": "Version.local", "kind": "variable", "doc": "

The local version segment of the version.

\n\n
\n
>>> print(Version("1.2.3").local)\nNone\n>>> Version("1.2.3+abc").local\n'abc'\n
\n
\n", "annotation": ": Optional[str]"}, "bioimageio.spec._internal.version_type.Version.public": {"fullname": "bioimageio.spec._internal.version_type.Version.public", "modulename": "bioimageio.spec._internal.version_type", "qualname": "Version.public", "kind": "variable", "doc": "

The public portion of the version.

\n\n
\n
>>> Version("1.2.3").public\n'1.2.3'\n>>> Version("1.2.3+abc").public\n'1.2.3'\n>>> Version("1.2.3+abc.dev1").public\n'1.2.3'\n
\n
\n", "annotation": ": str"}, "bioimageio.spec._internal.version_type.Version.base_version": {"fullname": "bioimageio.spec._internal.version_type.Version.base_version", "modulename": "bioimageio.spec._internal.version_type", "qualname": "Version.base_version", "kind": "variable", "doc": "

The \"base version\" of the version.

\n\n
\n
>>> Version("1.2.3").base_version\n'1.2.3'\n>>> Version("1.2.3+abc").base_version\n'1.2.3'\n>>> Version("1!1.2.3+abc.dev1").base_version\n'1!1.2.3'\n
\n
\n\n

The \"base version\" is the public version of the project without any pre or post\nrelease markers.

\n", "annotation": ": str"}, "bioimageio.spec._internal.version_type.Version.is_prerelease": {"fullname": "bioimageio.spec._internal.version_type.Version.is_prerelease", "modulename": "bioimageio.spec._internal.version_type", "qualname": "Version.is_prerelease", "kind": "variable", "doc": "

Whether this version is a pre-release.

\n\n
\n
>>> Version("1.2.3").is_prerelease\nFalse\n>>> Version("1.2.3a1").is_prerelease\nTrue\n>>> Version("1.2.3b1").is_prerelease\nTrue\n>>> Version("1.2.3rc1").is_prerelease\nTrue\n>>> Version("1.2.3dev1").is_prerelease\nTrue\n
\n
\n", "annotation": ": bool"}, "bioimageio.spec._internal.version_type.Version.is_postrelease": {"fullname": "bioimageio.spec._internal.version_type.Version.is_postrelease", "modulename": "bioimageio.spec._internal.version_type", "qualname": "Version.is_postrelease", "kind": "variable", "doc": "

Whether this version is a post-release.

\n\n
\n
>>> Version("1.2.3").is_postrelease\nFalse\n>>> Version("1.2.3.post1").is_postrelease\nTrue\n
\n
\n", "annotation": ": bool"}, "bioimageio.spec._internal.version_type.Version.is_devrelease": {"fullname": "bioimageio.spec._internal.version_type.Version.is_devrelease", "modulename": "bioimageio.spec._internal.version_type", "qualname": "Version.is_devrelease", "kind": "variable", "doc": "

Whether this version is a development release.

\n\n
\n
>>> Version("1.2.3").is_devrelease\nFalse\n>>> Version("1.2.3.dev1").is_devrelease\nTrue\n
\n
\n", "annotation": ": bool"}, "bioimageio.spec._internal.version_type.Version.major": {"fullname": "bioimageio.spec._internal.version_type.Version.major", "modulename": "bioimageio.spec._internal.version_type", "qualname": "Version.major", "kind": "variable", "doc": "

The first item of release or 0 if unavailable.

\n\n
\n
>>> Version("1.2.3").major\n1\n
\n
\n", "annotation": ": int"}, "bioimageio.spec._internal.version_type.Version.minor": {"fullname": "bioimageio.spec._internal.version_type.Version.minor", "modulename": "bioimageio.spec._internal.version_type", "qualname": "Version.minor", "kind": "variable", "doc": "

The second item of release or 0 if unavailable.

\n\n
\n
>>> Version("1.2.3").minor\n2\n>>> Version("1").minor\n0\n
\n
\n", "annotation": ": int"}, "bioimageio.spec._internal.version_type.Version.micro": {"fullname": "bioimageio.spec._internal.version_type.Version.micro", "modulename": "bioimageio.spec._internal.version_type", "qualname": "Version.micro", "kind": "variable", "doc": "

The third item of release or 0 if unavailable.

\n\n
\n
>>> Version("1.2.3").micro\n3\n>>> Version("1").micro\n0\n
\n
\n", "annotation": ": int"}, "bioimageio.spec._internal.warning_levels": {"fullname": "bioimageio.spec._internal.warning_levels", "modulename": "bioimageio.spec._internal.warning_levels", "kind": "module", "doc": "

\n"}, "bioimageio.spec._internal.warning_levels.WarningSeverity": {"fullname": "bioimageio.spec._internal.warning_levels.WarningSeverity", "modulename": "bioimageio.spec._internal.warning_levels", "qualname": "WarningSeverity", "kind": "variable", "doc": "

\n", "default_value": "typing.Literal[20, 30, 35]"}, "bioimageio.spec._internal.warning_levels.WarningLevel": {"fullname": "bioimageio.spec._internal.warning_levels.WarningLevel", "modulename": "bioimageio.spec._internal.warning_levels", "qualname": "WarningLevel", "kind": "variable", "doc": "

With warning level x validation warnings of severity >=x are raised.\nHighest warning level 50/error does not raise any validaiton warnings (only validation errors).

\n", "default_value": "typing.Literal[20, 30, 35, 50]"}, "bioimageio.spec.application": {"fullname": "bioimageio.spec.application", "modulename": "bioimageio.spec.application", "kind": "module", "doc": "

implementaions of all released minor versions are available in submodules:

\n\n\n"}, "bioimageio.spec.application.AnyApplicationDescr": {"fullname": "bioimageio.spec.application.AnyApplicationDescr", "modulename": "bioimageio.spec.application", "qualname": "AnyApplicationDescr", "kind": "variable", "doc": "

Union of any released application desription

\n", "default_value": "typing.Annotated[typing.Union[bioimageio.spec.application.v0_2.ApplicationDescr, bioimageio.spec.application.v0_3.ApplicationDescr], Discriminator(discriminator='format_version', custom_error_type=None, custom_error_message=None, custom_error_context=None)]"}, "bioimageio.spec.application.v0_2": {"fullname": "bioimageio.spec.application.v0_2", "modulename": "bioimageio.spec.application.v0_2", "kind": "module", "doc": "

\n"}, "bioimageio.spec.application.v0_2.ApplicationDescr": {"fullname": "bioimageio.spec.application.v0_2.ApplicationDescr", "modulename": "bioimageio.spec.application.v0_2", "qualname": "ApplicationDescr", "kind": "class", "doc": "

Bioimage.io description of an application.

\n", "bases": "bioimageio.spec.generic.v0_2.GenericDescrBase"}, "bioimageio.spec.application.v0_2.ApplicationDescr.type": {"fullname": "bioimageio.spec.application.v0_2.ApplicationDescr.type", "modulename": "bioimageio.spec.application.v0_2", "qualname": "ApplicationDescr.type", "kind": "variable", "doc": "

\n", "annotation": ": Literal['application']"}, "bioimageio.spec.application.v0_2.ApplicationDescr.id": {"fullname": "bioimageio.spec.application.v0_2.ApplicationDescr.id", "modulename": "bioimageio.spec.application.v0_2", "qualname": "ApplicationDescr.id", "kind": "variable", "doc": "

Model zoo (bioimage.io) wide, unique identifier (assigned by bioimage.io)

\n", "annotation": ": Optional[bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]]]"}, "bioimageio.spec.application.v0_2.ApplicationDescr.source": {"fullname": "bioimageio.spec.application.v0_2.ApplicationDescr.source", "modulename": "bioimageio.spec.application.v0_2", "qualname": "ApplicationDescr.source", "kind": "variable", "doc": "

The primary source of the application

\n", "annotation": ": Annotated[Optional[Annotated[Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator(func=<function wo_special_file_name at 0x7f46aaa98680>), PlainSerializer(func=<function _package at 0x7f46aaa998a0>, return_type=PydanticUndefined, when_used='unless-none')]], FieldInfo(annotation=NoneType, required=True, description='URL or path to the source of the application')]"}, "bioimageio.spec.application.v0_2.ApplicationDescr.implemented_format_version": {"fullname": "bioimageio.spec.application.v0_2.ApplicationDescr.implemented_format_version", "modulename": "bioimageio.spec.application.v0_2", "qualname": "ApplicationDescr.implemented_format_version", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[str]", "default_value": "'0.2.4'"}, "bioimageio.spec.application.v0_2.ApplicationDescr.implemented_format_version_tuple": {"fullname": "bioimageio.spec.application.v0_2.ApplicationDescr.implemented_format_version_tuple", "modulename": "bioimageio.spec.application.v0_2", "qualname": "ApplicationDescr.implemented_format_version_tuple", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[Tuple[int, int, int]]", "default_value": "(0, 2, 4)"}, "bioimageio.spec.application.v0_2.ApplicationDescr.model_config": {"fullname": "bioimageio.spec.application.v0_2.ApplicationDescr.model_config", "modulename": "bioimageio.spec.application.v0_2", "qualname": "ApplicationDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True, 'title': 'bioimage.io application specification'}"}, "bioimageio.spec.application.v0_2.ApplicationDescr.model_fields": {"fullname": "bioimageio.spec.application.v0_2.ApplicationDescr.model_fields", "modulename": "bioimageio.spec.application.v0_2", "qualname": "ApplicationDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'name': FieldInfo(annotation=str, required=True, metadata=[MinLen(min_length=1), AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=30, msg='Longer than 128 characters.', context={'typ': typing.Annotated[typing.Any, MaxLen(max_length=128)]})]), 'description': FieldInfo(annotation=str, required=True), 'covers': FieldInfo(annotation=List[Annotated[Union[HttpUrl, Annotated[Path, PathType, Predicate], RelativeFilePath], WithSuffix, PlainSerializer]], required=False, default_factory=list, description="Cover images. Please use an image smaller than 500KB and an aspect ratio width to height of 2:1.\\nThe supported image formats are: ('.gif', '.jpeg', '.jpg', '.png', '.svg')", examples=['cover.png']), 'id_emoji': FieldInfo(annotation=Union[Annotated[str, Len], NoneType], required=False), 'authors': FieldInfo(annotation=List[Author], required=False, default_factory=list), 'attachments': FieldInfo(annotation=Union[AttachmentsDescr, NoneType], required=False), 'cite': FieldInfo(annotation=List[CiteEntry], required=False, default_factory=list), 'config': FieldInfo(annotation=Dict[str, YamlValue], required=False, default_factory=dict, examples=[{'bioimageio': {'my_custom_key': 3837283, 'another_key': {'nested': 'value'}}, 'imagej': {'macro_dir': 'path/to/macro/file'}}]), 'download_url': FieldInfo(annotation=Union[HttpUrl, NoneType], required=False), 'git_repo': FieldInfo(annotation=Union[str, NoneType], required=False, examples=['https://github.com/bioimage-io/spec-bioimage-io/tree/main/example_descriptions/models/unet2d_nuclei_broad']), 'icon': FieldInfo(annotation=Union[Annotated[Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator, PlainSerializer], Annotated[str, Len], NoneType], required=False), 'links': FieldInfo(annotation=List[str], required=False, default_factory=list, examples=[('ilastik/ilastik', 'deepimagej/deepimagej', 'zero/notebook_u-net_3d_zerocostdl4mic')]), 'uploader': FieldInfo(annotation=Union[Uploader, NoneType], required=False), 'maintainers': FieldInfo(annotation=List[Maintainer], required=False, default_factory=list), 'rdf_source': FieldInfo(annotation=Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)], NoneType], required=False), 'tags': FieldInfo(annotation=List[str], required=False, default_factory=list, examples=[('unet2d', 'pytorch', 'nucleus', 'segmentation', 'dsb2018')]), 'version': FieldInfo(annotation=Union[Version, NoneType], required=False), 'version_number': FieldInfo(annotation=Union[int, NoneType], required=False), 'format_version': FieldInfo(annotation=Literal['0.2.4'], required=False, default='0.2.4'), 'badges': FieldInfo(annotation=List[BadgeDescr], required=False, default_factory=list), 'documentation': FieldInfo(annotation=Union[Annotated[Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator, PlainSerializer], NoneType], required=False, examples=['https://raw.githubusercontent.com/bioimage-io/spec-bioimage-io/main/example_descriptions/models/unet2d_nuclei_broad/README.md', 'README.md']), 'license': FieldInfo(annotation=Union[LicenseId, DeprecatedLicenseId, str, NoneType], required=False, examples=['CC-BY-4.0', 'MIT', 'BSD-2-Clause']), 'type': FieldInfo(annotation=Literal['application'], required=False, default='application'), 'id': FieldInfo(annotation=Union[ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]], NoneType], required=False), 'source': FieldInfo(annotation=Union[Annotated[Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator, PlainSerializer], NoneType], required=False, description='URL or path to the source of the application')}"}, "bioimageio.spec.application.v0_2.ApplicationDescr.model_computed_fields": {"fullname": "bioimageio.spec.application.v0_2.ApplicationDescr.model_computed_fields", "modulename": "bioimageio.spec.application.v0_2", "qualname": "ApplicationDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.application.v0_2.LinkedApplication": {"fullname": "bioimageio.spec.application.v0_2.LinkedApplication", "modulename": "bioimageio.spec.application.v0_2", "qualname": "LinkedApplication", "kind": "class", "doc": "

Reference to a bioimage.io application.

\n", "bases": "bioimageio.spec._internal.node.Node"}, "bioimageio.spec.application.v0_2.LinkedApplication.id": {"fullname": "bioimageio.spec.application.v0_2.LinkedApplication.id", "modulename": "bioimageio.spec.application.v0_2", "qualname": "LinkedApplication.id", "kind": "variable", "doc": "

A valid application id from the bioimage.io collection.

\n", "annotation": ": bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]]"}, "bioimageio.spec.application.v0_2.LinkedApplication.version_number": {"fullname": "bioimageio.spec.application.v0_2.LinkedApplication.version_number", "modulename": "bioimageio.spec.application.v0_2", "qualname": "LinkedApplication.version_number", "kind": "variable", "doc": "

version number (n-th published version, not the semantic version) of linked application

\n", "annotation": ": Optional[int]"}, "bioimageio.spec.application.v0_2.LinkedApplication.model_config": {"fullname": "bioimageio.spec.application.v0_2.LinkedApplication.model_config", "modulename": "bioimageio.spec.application.v0_2", "qualname": "LinkedApplication.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.application.v0_2.LinkedApplication.model_fields": {"fullname": "bioimageio.spec.application.v0_2.LinkedApplication.model_fields", "modulename": "bioimageio.spec.application.v0_2", "qualname": "LinkedApplication.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'id': FieldInfo(annotation=ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]], required=True), 'version_number': FieldInfo(annotation=Union[int, NoneType], required=False)}"}, "bioimageio.spec.application.v0_2.LinkedApplication.model_computed_fields": {"fullname": "bioimageio.spec.application.v0_2.LinkedApplication.model_computed_fields", "modulename": "bioimageio.spec.application.v0_2", "qualname": "LinkedApplication.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.application.v0_3": {"fullname": "bioimageio.spec.application.v0_3", "modulename": "bioimageio.spec.application.v0_3", "kind": "module", "doc": "

\n"}, "bioimageio.spec.application.v0_3.ApplicationDescr": {"fullname": "bioimageio.spec.application.v0_3.ApplicationDescr", "modulename": "bioimageio.spec.application.v0_3", "qualname": "ApplicationDescr", "kind": "class", "doc": "

Bioimage.io description of an application.

\n", "bases": "bioimageio.spec.generic.v0_3.GenericDescrBase"}, "bioimageio.spec.application.v0_3.ApplicationDescr.type": {"fullname": "bioimageio.spec.application.v0_3.ApplicationDescr.type", "modulename": "bioimageio.spec.application.v0_3", "qualname": "ApplicationDescr.type", "kind": "variable", "doc": "

\n", "annotation": ": Literal['application']"}, "bioimageio.spec.application.v0_3.ApplicationDescr.id": {"fullname": "bioimageio.spec.application.v0_3.ApplicationDescr.id", "modulename": "bioimageio.spec.application.v0_3", "qualname": "ApplicationDescr.id", "kind": "variable", "doc": "

Model zoo (bioimage.io) wide, unique identifier (assigned by bioimage.io)

\n", "annotation": ": Optional[bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]]]"}, "bioimageio.spec.application.v0_3.ApplicationDescr.parent": {"fullname": "bioimageio.spec.application.v0_3.ApplicationDescr.parent", "modulename": "bioimageio.spec.application.v0_3", "qualname": "ApplicationDescr.parent", "kind": "variable", "doc": "

The description from which this one is derived

\n", "annotation": ": Optional[bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]]]"}, "bioimageio.spec.application.v0_3.ApplicationDescr.source": {"fullname": "bioimageio.spec.application.v0_3.ApplicationDescr.source", "modulename": "bioimageio.spec.application.v0_3", "qualname": "ApplicationDescr.source", "kind": "variable", "doc": "

The primary source of the application

\n", "annotation": ": Annotated[Optional[Annotated[Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator(func=<function wo_special_file_name at 0x7f46aaa98680>), PlainSerializer(func=<function _package at 0x7f46aaa998a0>, return_type=PydanticUndefined, when_used='unless-none')]], FieldInfo(annotation=NoneType, required=True, description='URL or path to the source of the application')]"}, "bioimageio.spec.application.v0_3.ApplicationDescr.implemented_format_version": {"fullname": "bioimageio.spec.application.v0_3.ApplicationDescr.implemented_format_version", "modulename": "bioimageio.spec.application.v0_3", "qualname": "ApplicationDescr.implemented_format_version", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[str]", "default_value": "'0.3.0'"}, "bioimageio.spec.application.v0_3.ApplicationDescr.implemented_format_version_tuple": {"fullname": "bioimageio.spec.application.v0_3.ApplicationDescr.implemented_format_version_tuple", "modulename": "bioimageio.spec.application.v0_3", "qualname": "ApplicationDescr.implemented_format_version_tuple", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[Tuple[int, int, int]]", "default_value": "(0, 3, 0)"}, "bioimageio.spec.application.v0_3.ApplicationDescr.model_config": {"fullname": "bioimageio.spec.application.v0_3.ApplicationDescr.model_config", "modulename": "bioimageio.spec.application.v0_3", "qualname": "ApplicationDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True, 'title': 'bioimage.io application specification'}"}, "bioimageio.spec.application.v0_3.ApplicationDescr.model_fields": {"fullname": "bioimageio.spec.application.v0_3.ApplicationDescr.model_fields", "modulename": "bioimageio.spec.application.v0_3", "qualname": "ApplicationDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'name': FieldInfo(annotation=str, required=True, metadata=[MinLen(min_length=1), MaxLen(max_length=128)]), 'description': FieldInfo(annotation=str, required=True, metadata=[MaxLen(max_length=1024), AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=30, msg='Description longer than 512 characters.', context={'typ': typing.Annotated[typing.Any, MaxLen(max_length=512)]})]), 'covers': FieldInfo(annotation=List[Annotated[Union[HttpUrl, Annotated[Path, PathType, Predicate], RelativeFilePath], WithSuffix, PlainSerializer]], required=False, default_factory=list, description="Cover images. Please use an image smaller than 500KB and an aspect ratio width to height of 2:1 or 1:1.\\nThe supported image formats are: ('.gif', '.jpeg', '.jpg', '.png', '.svg')", examples=[]), 'id_emoji': FieldInfo(annotation=Union[Annotated[str, Len], NoneType], required=False), 'authors': FieldInfo(annotation=List[Author], required=True, metadata=[MinLen(min_length=1)]), 'attachments': FieldInfo(annotation=List[FileDescr], required=False, default_factory=list), 'cite': FieldInfo(annotation=List[CiteEntry], required=True, metadata=[MinLen(min_length=1)]), 'license': FieldInfo(annotation=Union[LicenseId, DeprecatedLicenseId], required=True, examples=['CC-BY-4.0', 'MIT', 'BSD-2-Clause'], metadata=[AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=30, msg='{value} is deprecated, see https://spdx.org/licenses/{value}.html', context={'typ': <class 'bioimageio.spec._internal.license_id.LicenseId'>})]), 'config': FieldInfo(annotation=Dict[str, YamlValue], required=False, default_factory=dict, examples=[{'bioimageio': {'my_custom_key': 3837283, 'another_key': {'nested': 'value'}}, 'imagej': {'macro_dir': 'path/to/macro/file'}}]), 'git_repo': FieldInfo(annotation=Union[HttpUrl, NoneType], required=False, examples=['https://github.com/bioimage-io/spec-bioimage-io/tree/main/example_descriptions/models/unet2d_nuclei_broad']), 'icon': FieldInfo(annotation=Union[Annotated[Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator, PlainSerializer], Annotated[str, Len], NoneType], required=False), 'links': FieldInfo(annotation=List[str], required=False, default_factory=list, examples=[('ilastik/ilastik', 'deepimagej/deepimagej', 'zero/notebook_u-net_3d_zerocostdl4mic')]), 'uploader': FieldInfo(annotation=Union[Uploader, NoneType], required=False), 'maintainers': FieldInfo(annotation=List[Maintainer], required=False, default_factory=list), 'tags': FieldInfo(annotation=List[str], required=False, default_factory=list, examples=[('unet2d', 'pytorch', 'nucleus', 'segmentation', 'dsb2018')]), 'version': FieldInfo(annotation=Union[Version, NoneType], required=False), 'version_number': FieldInfo(annotation=Union[int, NoneType], required=False), 'format_version': FieldInfo(annotation=Literal['0.3.0'], required=False, default='0.3.0'), 'documentation': FieldInfo(annotation=Union[Annotated[Union[Annotated[Path, PathType, Predicate], RelativeFilePath, HttpUrl], AfterValidator, PlainSerializer], NoneType], required=False, examples=['https://raw.githubusercontent.com/bioimage-io/spec-bioimage-io/main/example_descriptions/models/unet2d_nuclei_broad/README.md', 'README.md']), 'badges': FieldInfo(annotation=List[BadgeDescr], required=False, default_factory=list), 'type': FieldInfo(annotation=Literal['application'], required=False, default='application'), 'id': FieldInfo(annotation=Union[ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]], NoneType], required=False), 'parent': FieldInfo(annotation=Union[ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]], NoneType], required=False), 'source': FieldInfo(annotation=Union[Annotated[Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator, PlainSerializer], NoneType], required=False, description='URL or path to the source of the application')}"}, "bioimageio.spec.application.v0_3.ApplicationDescr.model_computed_fields": {"fullname": "bioimageio.spec.application.v0_3.ApplicationDescr.model_computed_fields", "modulename": "bioimageio.spec.application.v0_3", "qualname": "ApplicationDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.application.v0_3.LinkedApplication": {"fullname": "bioimageio.spec.application.v0_3.LinkedApplication", "modulename": "bioimageio.spec.application.v0_3", "qualname": "LinkedApplication", "kind": "class", "doc": "

Reference to a bioimage.io application.

\n", "bases": "bioimageio.spec._internal.node.Node"}, "bioimageio.spec.application.v0_3.LinkedApplication.id": {"fullname": "bioimageio.spec.application.v0_3.LinkedApplication.id", "modulename": "bioimageio.spec.application.v0_3", "qualname": "LinkedApplication.id", "kind": "variable", "doc": "

A valid application id from the bioimage.io collection.

\n", "annotation": ": bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]]"}, "bioimageio.spec.application.v0_3.LinkedApplication.version_number": {"fullname": "bioimageio.spec.application.v0_3.LinkedApplication.version_number", "modulename": "bioimageio.spec.application.v0_3", "qualname": "LinkedApplication.version_number", "kind": "variable", "doc": "

version number (n-th published version, not the semantic version) of linked application

\n", "annotation": ": int"}, "bioimageio.spec.application.v0_3.LinkedApplication.model_config": {"fullname": "bioimageio.spec.application.v0_3.LinkedApplication.model_config", "modulename": "bioimageio.spec.application.v0_3", "qualname": "LinkedApplication.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.application.v0_3.LinkedApplication.model_fields": {"fullname": "bioimageio.spec.application.v0_3.LinkedApplication.model_fields", "modulename": "bioimageio.spec.application.v0_3", "qualname": "LinkedApplication.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'id': FieldInfo(annotation=ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]], required=True), 'version_number': FieldInfo(annotation=int, required=True)}"}, "bioimageio.spec.application.v0_3.LinkedApplication.model_computed_fields": {"fullname": "bioimageio.spec.application.v0_3.LinkedApplication.model_computed_fields", "modulename": "bioimageio.spec.application.v0_3", "qualname": "LinkedApplication.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.collection": {"fullname": "bioimageio.spec.collection", "modulename": "bioimageio.spec.collection", "kind": "module", "doc": "

implementaions of all released minor versions are available in submodules:

\n\n\n"}, "bioimageio.spec.collection.AnyCollectionDescr": {"fullname": "bioimageio.spec.collection.AnyCollectionDescr", "modulename": "bioimageio.spec.collection", "qualname": "AnyCollectionDescr", "kind": "variable", "doc": "

Union of any released collection desription

\n", "default_value": "typing.Annotated[typing.Union[bioimageio.spec.collection.v0_2.CollectionDescr, bioimageio.spec.collection.v0_3.CollectionDescr], Discriminator(discriminator='format_version', custom_error_type=None, custom_error_message=None, custom_error_context=None)]"}, "bioimageio.spec.collection.v0_2": {"fullname": "bioimageio.spec.collection.v0_2", "modulename": "bioimageio.spec.collection.v0_2", "kind": "module", "doc": "

\n"}, "bioimageio.spec.collection.v0_2.EntryDescr": {"fullname": "bioimageio.spec.collection.v0_2.EntryDescr", "modulename": "bioimageio.spec.collection.v0_2", "qualname": "EntryDescr", "kind": "variable", "doc": "

\n", "default_value": "typing.Union[bioimageio.spec.application.v0_2.ApplicationDescr, bioimageio.spec.dataset.v0_2.DatasetDescr, bioimageio.spec.generic.v0_2.GenericDescr, bioimageio.spec.model.v0_4.ModelDescr, bioimageio.spec.notebook.v0_2.NotebookDescr]"}, "bioimageio.spec.collection.v0_2.CollectionEntry": {"fullname": "bioimageio.spec.collection.v0_2.CollectionEntry", "modulename": "bioimageio.spec.collection.v0_2", "qualname": "CollectionEntry", "kind": "class", "doc": "

A valid resource description (RD).\nThe entry RD is based on the collection description itself.\nFields are added/overwritten by the content of rdf_source if rdf_source is specified,\nand finally added/overwritten by any fields specified directly in the entry.\nExcept for the id field, fields are overwritten entirely, their content is not merged!\nThe final id for each collection entry is composed of the collection's id\nand the entry's 'sub-'id, specified remotely as part of rdf_source or superseeded in-place,\nsuch that the final_entry_id = <collection_id>/<entry_id>

\n", "bases": "bioimageio.spec._internal.node.Node"}, "bioimageio.spec.collection.v0_2.CollectionEntry.rdf_source": {"fullname": "bioimageio.spec.collection.v0_2.CollectionEntry.rdf_source", "modulename": "bioimageio.spec.collection.v0_2", "qualname": "CollectionEntry.rdf_source", "kind": "variable", "doc": "

resource description file (RDF) source to load entry from

\n", "annotation": ": Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)], NoneType]"}, "bioimageio.spec.collection.v0_2.CollectionEntry.id": {"fullname": "bioimageio.spec.collection.v0_2.CollectionEntry.id", "modulename": "bioimageio.spec.collection.v0_2", "qualname": "CollectionEntry.id", "kind": "variable", "doc": "

Collection entry sub id overwriting rdf_source.id.\nThe full collection entry's id is the collection's base id, followed by this sub id and separated by a slash '/'.

\n", "annotation": ": Optional[bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]]]"}, "bioimageio.spec.collection.v0_2.CollectionEntry.rdf_update": {"fullname": "bioimageio.spec.collection.v0_2.CollectionEntry.rdf_update", "modulename": "bioimageio.spec.collection.v0_2", "qualname": "CollectionEntry.rdf_update", "kind": "variable", "doc": "

\n", "annotation": ": Dict[str, YamlValue]"}, "bioimageio.spec.collection.v0_2.CollectionEntry.descr": {"fullname": "bioimageio.spec.collection.v0_2.CollectionEntry.descr", "modulename": "bioimageio.spec.collection.v0_2", "qualname": "CollectionEntry.descr", "kind": "variable", "doc": "

\n", "annotation": ": Union[bioimageio.spec.application.v0_2.ApplicationDescr, bioimageio.spec.dataset.v0_2.DatasetDescr, bioimageio.spec.generic.v0_2.GenericDescr, bioimageio.spec.model.v0_4.ModelDescr, bioimageio.spec.notebook.v0_2.NotebookDescr, NoneType]"}, "bioimageio.spec.collection.v0_2.CollectionEntry.model_config": {"fullname": "bioimageio.spec.collection.v0_2.CollectionEntry.model_config", "modulename": "bioimageio.spec.collection.v0_2", "qualname": "CollectionEntry.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'allow', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.collection.v0_2.CollectionEntry.model_post_init": {"fullname": "bioimageio.spec.collection.v0_2.CollectionEntry.model_post_init", "modulename": "bioimageio.spec.collection.v0_2", "qualname": "CollectionEntry.model_post_init", "kind": "function", "doc": "

This function is meant to behave like a BaseModel method to initialise private attributes.

\n\n

It takes context as an argument since that's what pydantic-core passes when calling it.

\n\n

Args:\n self: The BaseModel instance.\n __context: The context.

\n", "signature": "(self: pydantic.main.BaseModel, __context: Any) -> None:", "funcdef": "def"}, "bioimageio.spec.collection.v0_2.CollectionEntry.model_fields": {"fullname": "bioimageio.spec.collection.v0_2.CollectionEntry.model_fields", "modulename": "bioimageio.spec.collection.v0_2", "qualname": "CollectionEntry.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'rdf_source': FieldInfo(annotation=Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)], NoneType], required=False), 'id': FieldInfo(annotation=Union[ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]], NoneType], required=False)}"}, "bioimageio.spec.collection.v0_2.CollectionEntry.model_computed_fields": {"fullname": "bioimageio.spec.collection.v0_2.CollectionEntry.model_computed_fields", "modulename": "bioimageio.spec.collection.v0_2", "qualname": "CollectionEntry.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.collection.v0_2.CollectionDescr": {"fullname": "bioimageio.spec.collection.v0_2.CollectionDescr", "modulename": "bioimageio.spec.collection.v0_2", "qualname": "CollectionDescr", "kind": "class", "doc": "

A bioimage.io collection describes several other bioimage.io resources.\nNote that collections cannot be nested; resources listed under collection may not be collections themselves.

\n", "bases": "bioimageio.spec.generic.v0_2.GenericDescrBase"}, "bioimageio.spec.collection.v0_2.CollectionDescr.type": {"fullname": "bioimageio.spec.collection.v0_2.CollectionDescr.type", "modulename": "bioimageio.spec.collection.v0_2", "qualname": "CollectionDescr.type", "kind": "variable", "doc": "

\n", "annotation": ": Literal['collection']"}, "bioimageio.spec.collection.v0_2.CollectionDescr.id": {"fullname": "bioimageio.spec.collection.v0_2.CollectionDescr.id", "modulename": "bioimageio.spec.collection.v0_2", "qualname": "CollectionDescr.id", "kind": "variable", "doc": "

Model zoo (bioimage.io) wide, unique identifier (assigned by bioimage.io)

\n", "annotation": ": Optional[bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]]]"}, "bioimageio.spec.collection.v0_2.CollectionDescr.collection": {"fullname": "bioimageio.spec.collection.v0_2.CollectionDescr.collection", "modulename": "bioimageio.spec.collection.v0_2", "qualname": "CollectionDescr.collection", "kind": "variable", "doc": "

Collection entries

\n", "annotation": ": Annotated[List[bioimageio.spec.collection.v0_2.CollectionEntry], MinLen(min_length=1)]"}, "bioimageio.spec.collection.v0_2.CollectionDescr.finalize_entries": {"fullname": "bioimageio.spec.collection.v0_2.CollectionDescr.finalize_entries", "modulename": "bioimageio.spec.collection.v0_2", "qualname": "CollectionDescr.finalize_entries", "kind": "function", "doc": "

\n", "signature": "(self) -> Self:", "funcdef": "def"}, "bioimageio.spec.collection.v0_2.CollectionDescr.move_groups_to_collection_field": {"fullname": "bioimageio.spec.collection.v0_2.CollectionDescr.move_groups_to_collection_field", "modulename": "bioimageio.spec.collection.v0_2", "qualname": "CollectionDescr.move_groups_to_collection_field", "kind": "function", "doc": "

\n", "signature": "(cls, data: Dict[str, YamlValue]) -> Dict[str, YamlValue]:", "funcdef": "def"}, "bioimageio.spec.collection.v0_2.CollectionDescr.implemented_format_version": {"fullname": "bioimageio.spec.collection.v0_2.CollectionDescr.implemented_format_version", "modulename": "bioimageio.spec.collection.v0_2", "qualname": "CollectionDescr.implemented_format_version", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[str]", "default_value": "'0.2.4'"}, "bioimageio.spec.collection.v0_2.CollectionDescr.implemented_format_version_tuple": {"fullname": "bioimageio.spec.collection.v0_2.CollectionDescr.implemented_format_version_tuple", "modulename": "bioimageio.spec.collection.v0_2", "qualname": "CollectionDescr.implemented_format_version_tuple", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[Tuple[int, int, int]]", "default_value": "(0, 2, 4)"}, "bioimageio.spec.collection.v0_2.CollectionDescr.model_config": {"fullname": "bioimageio.spec.collection.v0_2.CollectionDescr.model_config", "modulename": "bioimageio.spec.collection.v0_2", "qualname": "CollectionDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'allow', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True, 'title': 'bioimage.io collection specification'}"}, "bioimageio.spec.collection.v0_2.CollectionDescr.model_fields": {"fullname": "bioimageio.spec.collection.v0_2.CollectionDescr.model_fields", "modulename": "bioimageio.spec.collection.v0_2", "qualname": "CollectionDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'name': FieldInfo(annotation=str, required=True, metadata=[MinLen(min_length=1), AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=30, msg='Longer than 128 characters.', context={'typ': typing.Annotated[typing.Any, MaxLen(max_length=128)]})]), 'description': FieldInfo(annotation=str, required=True), 'covers': FieldInfo(annotation=List[Annotated[Union[HttpUrl, Annotated[Path, PathType, Predicate], RelativeFilePath], WithSuffix, PlainSerializer]], required=False, default_factory=list, description="Cover images. Please use an image smaller than 500KB and an aspect ratio width to height of 2:1.\\nThe supported image formats are: ('.gif', '.jpeg', '.jpg', '.png', '.svg')", examples=['cover.png']), 'id_emoji': FieldInfo(annotation=Union[Annotated[str, Len], NoneType], required=False), 'authors': FieldInfo(annotation=List[Author], required=False, default_factory=list), 'attachments': FieldInfo(annotation=Union[AttachmentsDescr, NoneType], required=False), 'cite': FieldInfo(annotation=List[CiteEntry], required=False, default_factory=list), 'config': FieldInfo(annotation=Dict[str, YamlValue], required=False, default_factory=dict, examples=[{'bioimageio': {'my_custom_key': 3837283, 'another_key': {'nested': 'value'}}, 'imagej': {'macro_dir': 'path/to/macro/file'}}]), 'download_url': FieldInfo(annotation=Union[HttpUrl, NoneType], required=False), 'git_repo': FieldInfo(annotation=Union[str, NoneType], required=False, examples=['https://github.com/bioimage-io/spec-bioimage-io/tree/main/example_descriptions/models/unet2d_nuclei_broad']), 'icon': FieldInfo(annotation=Union[Annotated[Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator, PlainSerializer], Annotated[str, Len], NoneType], required=False), 'links': FieldInfo(annotation=List[str], required=False, default_factory=list, examples=[('ilastik/ilastik', 'deepimagej/deepimagej', 'zero/notebook_u-net_3d_zerocostdl4mic')]), 'uploader': FieldInfo(annotation=Union[Uploader, NoneType], required=False), 'maintainers': FieldInfo(annotation=List[Maintainer], required=False, default_factory=list), 'rdf_source': FieldInfo(annotation=Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)], NoneType], required=False), 'tags': FieldInfo(annotation=List[str], required=False, default_factory=list, examples=[('unet2d', 'pytorch', 'nucleus', 'segmentation', 'dsb2018')]), 'version': FieldInfo(annotation=Union[Version, NoneType], required=False), 'version_number': FieldInfo(annotation=Union[int, NoneType], required=False), 'format_version': FieldInfo(annotation=Literal['0.2.4'], required=False, default='0.2.4'), 'badges': FieldInfo(annotation=List[BadgeDescr], required=False, default_factory=list), 'documentation': FieldInfo(annotation=Union[Annotated[Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator, PlainSerializer], NoneType], required=False, examples=['https://raw.githubusercontent.com/bioimage-io/spec-bioimage-io/main/example_descriptions/models/unet2d_nuclei_broad/README.md', 'README.md']), 'license': FieldInfo(annotation=Union[LicenseId, DeprecatedLicenseId, str, NoneType], required=False, examples=['CC-BY-4.0', 'MIT', 'BSD-2-Clause']), 'type': FieldInfo(annotation=Literal['collection'], required=False, default='collection'), 'id': FieldInfo(annotation=Union[ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]], NoneType], required=False), 'collection': FieldInfo(annotation=List[CollectionEntry], required=True, metadata=[MinLen(min_length=1)])}"}, "bioimageio.spec.collection.v0_2.CollectionDescr.model_computed_fields": {"fullname": "bioimageio.spec.collection.v0_2.CollectionDescr.model_computed_fields", "modulename": "bioimageio.spec.collection.v0_2", "qualname": "CollectionDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.collection.v0_2.LinkedCollection": {"fullname": "bioimageio.spec.collection.v0_2.LinkedCollection", "modulename": "bioimageio.spec.collection.v0_2", "qualname": "LinkedCollection", "kind": "class", "doc": "

Reference to a bioimage.io collection.

\n", "bases": "bioimageio.spec._internal.node.Node"}, "bioimageio.spec.collection.v0_2.LinkedCollection.id": {"fullname": "bioimageio.spec.collection.v0_2.LinkedCollection.id", "modulename": "bioimageio.spec.collection.v0_2", "qualname": "LinkedCollection.id", "kind": "variable", "doc": "

A valid collection id from the bioimage.io collection.

\n", "annotation": ": bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]]"}, "bioimageio.spec.collection.v0_2.LinkedCollection.version_number": {"fullname": "bioimageio.spec.collection.v0_2.LinkedCollection.version_number", "modulename": "bioimageio.spec.collection.v0_2", "qualname": "LinkedCollection.version_number", "kind": "variable", "doc": "

version number (n-th published version, not the semantic version) of linked collection

\n", "annotation": ": Optional[int]"}, "bioimageio.spec.collection.v0_2.LinkedCollection.model_config": {"fullname": "bioimageio.spec.collection.v0_2.LinkedCollection.model_config", "modulename": "bioimageio.spec.collection.v0_2", "qualname": "LinkedCollection.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.collection.v0_2.LinkedCollection.model_fields": {"fullname": "bioimageio.spec.collection.v0_2.LinkedCollection.model_fields", "modulename": "bioimageio.spec.collection.v0_2", "qualname": "LinkedCollection.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'id': FieldInfo(annotation=ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]], required=True), 'version_number': FieldInfo(annotation=Union[int, NoneType], required=False)}"}, "bioimageio.spec.collection.v0_2.LinkedCollection.model_computed_fields": {"fullname": "bioimageio.spec.collection.v0_2.LinkedCollection.model_computed_fields", "modulename": "bioimageio.spec.collection.v0_2", "qualname": "LinkedCollection.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.collection.v0_3": {"fullname": "bioimageio.spec.collection.v0_3", "modulename": "bioimageio.spec.collection.v0_3", "kind": "module", "doc": "

\n"}, "bioimageio.spec.collection.v0_3.EntryDescr": {"fullname": "bioimageio.spec.collection.v0_3.EntryDescr", "modulename": "bioimageio.spec.collection.v0_3", "qualname": "EntryDescr", "kind": "variable", "doc": "

\n", "default_value": "typing.Union[bioimageio.spec.application.v0_2.ApplicationDescr, bioimageio.spec.application.v0_3.ApplicationDescr, bioimageio.spec.dataset.v0_2.DatasetDescr, bioimageio.spec.dataset.v0_3.DatasetDescr, bioimageio.spec.model.v0_4.ModelDescr, bioimageio.spec.model.v0_5.ModelDescr, bioimageio.spec.notebook.v0_2.NotebookDescr, bioimageio.spec.notebook.v0_3.NotebookDescr, bioimageio.spec.generic.v0_2.GenericDescr, bioimageio.spec.generic.v0_3.GenericDescr]"}, "bioimageio.spec.collection.v0_3.CollectionEntry": {"fullname": "bioimageio.spec.collection.v0_3.CollectionEntry", "modulename": "bioimageio.spec.collection.v0_3", "qualname": "CollectionEntry", "kind": "class", "doc": "

A collection entry description is based on the collection description itself.\nFields are added/overwritten by the content of descr_source if descr_source is set,\nand finally added/overwritten by any fields specified directly in the entry.\nExcept for the id field, fields are overwritten entirely, their content is not merged!\nThe final id for each collection entry is composed of the collection's id\nand the entry's 'sub-'id, specified externally in descr_source or superseeded in-place,\nsuch that the final_entry_id = <collection_id>/<entry_id>

\n", "bases": "bioimageio.spec._internal.node.Node"}, "bioimageio.spec.collection.v0_3.CollectionEntry.entry_source": {"fullname": "bioimageio.spec.collection.v0_3.CollectionEntry.entry_source", "modulename": "bioimageio.spec.collection.v0_3", "qualname": "CollectionEntry.entry_source", "kind": "variable", "doc": "

an external source this entry description is based on

\n", "annotation": ": Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)], NoneType]"}, "bioimageio.spec.collection.v0_3.CollectionEntry.id": {"fullname": "bioimageio.spec.collection.v0_3.CollectionEntry.id", "modulename": "bioimageio.spec.collection.v0_3", "qualname": "CollectionEntry.id", "kind": "variable", "doc": "

Collection entry sub id overwriting rdf_source.id.\nThe full collection entry's id is the collection's base id, followed by this sub id and separated by a slash '/'.

\n", "annotation": ": Optional[bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]]]"}, "bioimageio.spec.collection.v0_3.CollectionEntry.entry_update": {"fullname": "bioimageio.spec.collection.v0_3.CollectionEntry.entry_update", "modulename": "bioimageio.spec.collection.v0_3", "qualname": "CollectionEntry.entry_update", "kind": "variable", "doc": "

\n", "annotation": ": Dict[str, YamlValue]"}, "bioimageio.spec.collection.v0_3.CollectionEntry.descr": {"fullname": "bioimageio.spec.collection.v0_3.CollectionEntry.descr", "modulename": "bioimageio.spec.collection.v0_3", "qualname": "CollectionEntry.descr", "kind": "variable", "doc": "

\n", "annotation": ": Union[bioimageio.spec.application.v0_2.ApplicationDescr, bioimageio.spec.application.v0_3.ApplicationDescr, bioimageio.spec.dataset.v0_2.DatasetDescr, bioimageio.spec.dataset.v0_3.DatasetDescr, bioimageio.spec.model.v0_4.ModelDescr, bioimageio.spec.model.v0_5.ModelDescr, bioimageio.spec.notebook.v0_2.NotebookDescr, bioimageio.spec.notebook.v0_3.NotebookDescr, bioimageio.spec.generic.v0_2.GenericDescr, bioimageio.spec.generic.v0_3.GenericDescr, NoneType]"}, "bioimageio.spec.collection.v0_3.CollectionEntry.model_config": {"fullname": "bioimageio.spec.collection.v0_3.CollectionEntry.model_config", "modulename": "bioimageio.spec.collection.v0_3", "qualname": "CollectionEntry.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'allow', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.collection.v0_3.CollectionEntry.model_post_init": {"fullname": "bioimageio.spec.collection.v0_3.CollectionEntry.model_post_init", "modulename": "bioimageio.spec.collection.v0_3", "qualname": "CollectionEntry.model_post_init", "kind": "function", "doc": "

This function is meant to behave like a BaseModel method to initialise private attributes.

\n\n

It takes context as an argument since that's what pydantic-core passes when calling it.

\n\n

Args:\n self: The BaseModel instance.\n __context: The context.

\n", "signature": "(self: pydantic.main.BaseModel, __context: Any) -> None:", "funcdef": "def"}, "bioimageio.spec.collection.v0_3.CollectionEntry.model_fields": {"fullname": "bioimageio.spec.collection.v0_3.CollectionEntry.model_fields", "modulename": "bioimageio.spec.collection.v0_3", "qualname": "CollectionEntry.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'entry_source': FieldInfo(annotation=Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)], NoneType], required=False), 'id': FieldInfo(annotation=Union[ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]], NoneType], required=False)}"}, "bioimageio.spec.collection.v0_3.CollectionEntry.model_computed_fields": {"fullname": "bioimageio.spec.collection.v0_3.CollectionEntry.model_computed_fields", "modulename": "bioimageio.spec.collection.v0_3", "qualname": "CollectionEntry.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.collection.v0_3.CollectionDescr": {"fullname": "bioimageio.spec.collection.v0_3.CollectionDescr", "modulename": "bioimageio.spec.collection.v0_3", "qualname": "CollectionDescr", "kind": "class", "doc": "

A bioimage.io collection resource description file (collection RDF) describes a collection of bioimage.io\nresources.\nThe resources listed in a collection RDF have types other than 'collection'; collections cannot be nested.

\n", "bases": "bioimageio.spec.generic.v0_3.GenericDescrBase"}, "bioimageio.spec.collection.v0_3.CollectionDescr.type": {"fullname": "bioimageio.spec.collection.v0_3.CollectionDescr.type", "modulename": "bioimageio.spec.collection.v0_3", "qualname": "CollectionDescr.type", "kind": "variable", "doc": "

\n", "annotation": ": Literal['collection']"}, "bioimageio.spec.collection.v0_3.CollectionDescr.id": {"fullname": "bioimageio.spec.collection.v0_3.CollectionDescr.id", "modulename": "bioimageio.spec.collection.v0_3", "qualname": "CollectionDescr.id", "kind": "variable", "doc": "

Model zoo (bioimage.io) wide, unique identifier (assigned by bioimage.io)

\n", "annotation": ": Optional[bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]]]"}, "bioimageio.spec.collection.v0_3.CollectionDescr.parent": {"fullname": "bioimageio.spec.collection.v0_3.CollectionDescr.parent", "modulename": "bioimageio.spec.collection.v0_3", "qualname": "CollectionDescr.parent", "kind": "variable", "doc": "

The description from which this one is derived

\n", "annotation": ": Optional[bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]]]"}, "bioimageio.spec.collection.v0_3.CollectionDescr.collection": {"fullname": "bioimageio.spec.collection.v0_3.CollectionDescr.collection", "modulename": "bioimageio.spec.collection.v0_3", "qualname": "CollectionDescr.collection", "kind": "variable", "doc": "

Collection entries

\n", "annotation": ": Annotated[List[bioimageio.spec.collection.v0_3.CollectionEntry], MinLen(min_length=1)]"}, "bioimageio.spec.collection.v0_3.CollectionDescr.finalize_entries": {"fullname": "bioimageio.spec.collection.v0_3.CollectionDescr.finalize_entries", "modulename": "bioimageio.spec.collection.v0_3", "qualname": "CollectionDescr.finalize_entries", "kind": "function", "doc": "

\n", "signature": "(self) -> Self:", "funcdef": "def"}, "bioimageio.spec.collection.v0_3.CollectionDescr.implemented_format_version": {"fullname": "bioimageio.spec.collection.v0_3.CollectionDescr.implemented_format_version", "modulename": "bioimageio.spec.collection.v0_3", "qualname": "CollectionDescr.implemented_format_version", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[str]", "default_value": "'0.3.0'"}, "bioimageio.spec.collection.v0_3.CollectionDescr.implemented_format_version_tuple": {"fullname": "bioimageio.spec.collection.v0_3.CollectionDescr.implemented_format_version_tuple", "modulename": "bioimageio.spec.collection.v0_3", "qualname": "CollectionDescr.implemented_format_version_tuple", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[Tuple[int, int, int]]", "default_value": "(0, 3, 0)"}, "bioimageio.spec.collection.v0_3.CollectionDescr.model_config": {"fullname": "bioimageio.spec.collection.v0_3.CollectionDescr.model_config", "modulename": "bioimageio.spec.collection.v0_3", "qualname": "CollectionDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'allow', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True, 'title': 'bioimage.io collection specification'}"}, "bioimageio.spec.collection.v0_3.CollectionDescr.model_fields": {"fullname": "bioimageio.spec.collection.v0_3.CollectionDescr.model_fields", "modulename": "bioimageio.spec.collection.v0_3", "qualname": "CollectionDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'name': FieldInfo(annotation=str, required=True, metadata=[MinLen(min_length=1), MaxLen(max_length=128)]), 'description': FieldInfo(annotation=str, required=True, metadata=[MaxLen(max_length=1024), AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=30, msg='Description longer than 512 characters.', context={'typ': typing.Annotated[typing.Any, MaxLen(max_length=512)]})]), 'covers': FieldInfo(annotation=List[Annotated[Union[HttpUrl, Annotated[Path, PathType, Predicate], RelativeFilePath], WithSuffix, PlainSerializer]], required=False, default_factory=list, description="Cover images. Please use an image smaller than 500KB and an aspect ratio width to height of 2:1 or 1:1.\\nThe supported image formats are: ('.gif', '.jpeg', '.jpg', '.png', '.svg')", examples=[]), 'id_emoji': FieldInfo(annotation=Union[Annotated[str, Len], NoneType], required=False), 'authors': FieldInfo(annotation=List[Author], required=True, metadata=[MinLen(min_length=1)]), 'attachments': FieldInfo(annotation=List[FileDescr], required=False, default_factory=list), 'cite': FieldInfo(annotation=List[CiteEntry], required=True, metadata=[MinLen(min_length=1)]), 'license': FieldInfo(annotation=Union[LicenseId, DeprecatedLicenseId], required=True, examples=['CC-BY-4.0', 'MIT', 'BSD-2-Clause'], metadata=[AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=30, msg='{value} is deprecated, see https://spdx.org/licenses/{value}.html', context={'typ': <class 'bioimageio.spec._internal.license_id.LicenseId'>})]), 'config': FieldInfo(annotation=Dict[str, YamlValue], required=False, default_factory=dict, examples=[{'bioimageio': {'my_custom_key': 3837283, 'another_key': {'nested': 'value'}}, 'imagej': {'macro_dir': 'path/to/macro/file'}}]), 'git_repo': FieldInfo(annotation=Union[HttpUrl, NoneType], required=False, examples=['https://github.com/bioimage-io/spec-bioimage-io/tree/main/example_descriptions/models/unet2d_nuclei_broad']), 'icon': FieldInfo(annotation=Union[Annotated[Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator, PlainSerializer], Annotated[str, Len], NoneType], required=False), 'links': FieldInfo(annotation=List[str], required=False, default_factory=list, examples=[('ilastik/ilastik', 'deepimagej/deepimagej', 'zero/notebook_u-net_3d_zerocostdl4mic')]), 'uploader': FieldInfo(annotation=Union[Uploader, NoneType], required=False), 'maintainers': FieldInfo(annotation=List[Maintainer], required=False, default_factory=list), 'tags': FieldInfo(annotation=List[str], required=False, default_factory=list, examples=[('unet2d', 'pytorch', 'nucleus', 'segmentation', 'dsb2018')]), 'version': FieldInfo(annotation=Union[Version, NoneType], required=False), 'version_number': FieldInfo(annotation=Union[int, NoneType], required=False), 'format_version': FieldInfo(annotation=Literal['0.3.0'], required=False, default='0.3.0'), 'documentation': FieldInfo(annotation=Union[Annotated[Union[Annotated[Path, PathType, Predicate], RelativeFilePath, HttpUrl], AfterValidator, PlainSerializer], NoneType], required=False, examples=['https://raw.githubusercontent.com/bioimage-io/spec-bioimage-io/main/example_descriptions/models/unet2d_nuclei_broad/README.md', 'README.md']), 'badges': FieldInfo(annotation=List[BadgeDescr], required=False, default_factory=list), 'type': FieldInfo(annotation=Literal['collection'], required=False, default='collection'), 'id': FieldInfo(annotation=Union[ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]], NoneType], required=False), 'parent': FieldInfo(annotation=Union[ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]], NoneType], required=False), 'collection': FieldInfo(annotation=List[CollectionEntry], required=True, metadata=[MinLen(min_length=1)])}"}, "bioimageio.spec.collection.v0_3.CollectionDescr.model_computed_fields": {"fullname": "bioimageio.spec.collection.v0_3.CollectionDescr.model_computed_fields", "modulename": "bioimageio.spec.collection.v0_3", "qualname": "CollectionDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.collection.v0_3.LinkedCollection": {"fullname": "bioimageio.spec.collection.v0_3.LinkedCollection", "modulename": "bioimageio.spec.collection.v0_3", "qualname": "LinkedCollection", "kind": "class", "doc": "

Reference to a bioimage.io collection.

\n", "bases": "bioimageio.spec._internal.node.Node"}, "bioimageio.spec.collection.v0_3.LinkedCollection.id": {"fullname": "bioimageio.spec.collection.v0_3.LinkedCollection.id", "modulename": "bioimageio.spec.collection.v0_3", "qualname": "LinkedCollection.id", "kind": "variable", "doc": "

A valid collection id from the bioimage.io collection.

\n", "annotation": ": bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]]"}, "bioimageio.spec.collection.v0_3.LinkedCollection.version_number": {"fullname": "bioimageio.spec.collection.v0_3.LinkedCollection.version_number", "modulename": "bioimageio.spec.collection.v0_3", "qualname": "LinkedCollection.version_number", "kind": "variable", "doc": "

version number (n-th published version, not the semantic version) of linked collection

\n", "annotation": ": int"}, "bioimageio.spec.collection.v0_3.LinkedCollection.model_config": {"fullname": "bioimageio.spec.collection.v0_3.LinkedCollection.model_config", "modulename": "bioimageio.spec.collection.v0_3", "qualname": "LinkedCollection.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.collection.v0_3.LinkedCollection.model_fields": {"fullname": "bioimageio.spec.collection.v0_3.LinkedCollection.model_fields", "modulename": "bioimageio.spec.collection.v0_3", "qualname": "LinkedCollection.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'id': FieldInfo(annotation=ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]], required=True), 'version_number': FieldInfo(annotation=int, required=True)}"}, "bioimageio.spec.collection.v0_3.LinkedCollection.model_computed_fields": {"fullname": "bioimageio.spec.collection.v0_3.LinkedCollection.model_computed_fields", "modulename": "bioimageio.spec.collection.v0_3", "qualname": "LinkedCollection.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.common": {"fullname": "bioimageio.spec.common", "modulename": "bioimageio.spec.common", "kind": "module", "doc": "

\n"}, "bioimageio.spec.dataset": {"fullname": "bioimageio.spec.dataset", "modulename": "bioimageio.spec.dataset", "kind": "module", "doc": "

implementaions of all released minor versions are available in submodules:

\n\n\n"}, "bioimageio.spec.dataset.AnyDatasetDescr": {"fullname": "bioimageio.spec.dataset.AnyDatasetDescr", "modulename": "bioimageio.spec.dataset", "qualname": "AnyDatasetDescr", "kind": "variable", "doc": "

Union of any released dataset desription

\n", "default_value": "typing.Annotated[typing.Union[bioimageio.spec.dataset.v0_2.DatasetDescr, bioimageio.spec.dataset.v0_3.DatasetDescr], Discriminator(discriminator='format_version', custom_error_type=None, custom_error_message=None, custom_error_context=None)]"}, "bioimageio.spec.dataset.v0_2": {"fullname": "bioimageio.spec.dataset.v0_2", "modulename": "bioimageio.spec.dataset.v0_2", "kind": "module", "doc": "

\n"}, "bioimageio.spec.dataset.v0_2.DatasetDescr": {"fullname": "bioimageio.spec.dataset.v0_2.DatasetDescr", "modulename": "bioimageio.spec.dataset.v0_2", "qualname": "DatasetDescr", "kind": "class", "doc": "

A bioimage.io dataset resource description file (dataset RDF) describes a dataset relevant to bioimage\nprocessing.

\n", "bases": "bioimageio.spec.generic.v0_2.GenericDescrBase"}, "bioimageio.spec.dataset.v0_2.DatasetDescr.type": {"fullname": "bioimageio.spec.dataset.v0_2.DatasetDescr.type", "modulename": "bioimageio.spec.dataset.v0_2", "qualname": "DatasetDescr.type", "kind": "variable", "doc": "

\n", "annotation": ": Literal['dataset']"}, "bioimageio.spec.dataset.v0_2.DatasetDescr.id": {"fullname": "bioimageio.spec.dataset.v0_2.DatasetDescr.id", "modulename": "bioimageio.spec.dataset.v0_2", "qualname": "DatasetDescr.id", "kind": "variable", "doc": "

Model zoo (bioimage.io) wide, unique identifier (assigned by bioimage.io)

\n", "annotation": ": Optional[bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]]]"}, "bioimageio.spec.dataset.v0_2.DatasetDescr.source": {"fullname": "bioimageio.spec.dataset.v0_2.DatasetDescr.source", "modulename": "bioimageio.spec.dataset.v0_2", "qualname": "DatasetDescr.source", "kind": "variable", "doc": "

\"URL to the source of the dataset.

\n", "annotation": ": Optional[bioimageio.spec._internal.url.HttpUrl]"}, "bioimageio.spec.dataset.v0_2.DatasetDescr.implemented_format_version": {"fullname": "bioimageio.spec.dataset.v0_2.DatasetDescr.implemented_format_version", "modulename": "bioimageio.spec.dataset.v0_2", "qualname": "DatasetDescr.implemented_format_version", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[str]", "default_value": "'0.2.4'"}, "bioimageio.spec.dataset.v0_2.DatasetDescr.implemented_format_version_tuple": {"fullname": "bioimageio.spec.dataset.v0_2.DatasetDescr.implemented_format_version_tuple", "modulename": "bioimageio.spec.dataset.v0_2", "qualname": "DatasetDescr.implemented_format_version_tuple", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[Tuple[int, int, int]]", "default_value": "(0, 2, 4)"}, "bioimageio.spec.dataset.v0_2.DatasetDescr.model_config": {"fullname": "bioimageio.spec.dataset.v0_2.DatasetDescr.model_config", "modulename": "bioimageio.spec.dataset.v0_2", "qualname": "DatasetDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True, 'title': 'bioimage.io dataset specification'}"}, "bioimageio.spec.dataset.v0_2.DatasetDescr.model_fields": {"fullname": "bioimageio.spec.dataset.v0_2.DatasetDescr.model_fields", "modulename": "bioimageio.spec.dataset.v0_2", "qualname": "DatasetDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'name': FieldInfo(annotation=str, required=True, metadata=[MinLen(min_length=1), AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=30, msg='Longer than 128 characters.', context={'typ': typing.Annotated[typing.Any, MaxLen(max_length=128)]})]), 'description': FieldInfo(annotation=str, required=True), 'covers': FieldInfo(annotation=List[Annotated[Union[HttpUrl, Annotated[Path, PathType, Predicate], RelativeFilePath], WithSuffix, PlainSerializer]], required=False, default_factory=list, description="Cover images. Please use an image smaller than 500KB and an aspect ratio width to height of 2:1.\\nThe supported image formats are: ('.gif', '.jpeg', '.jpg', '.png', '.svg')", examples=['cover.png']), 'id_emoji': FieldInfo(annotation=Union[Annotated[str, Len], NoneType], required=False), 'authors': FieldInfo(annotation=List[Author], required=False, default_factory=list), 'attachments': FieldInfo(annotation=Union[AttachmentsDescr, NoneType], required=False), 'cite': FieldInfo(annotation=List[CiteEntry], required=False, default_factory=list), 'config': FieldInfo(annotation=Dict[str, YamlValue], required=False, default_factory=dict, examples=[{'bioimageio': {'my_custom_key': 3837283, 'another_key': {'nested': 'value'}}, 'imagej': {'macro_dir': 'path/to/macro/file'}}]), 'download_url': FieldInfo(annotation=Union[HttpUrl, NoneType], required=False), 'git_repo': FieldInfo(annotation=Union[str, NoneType], required=False, examples=['https://github.com/bioimage-io/spec-bioimage-io/tree/main/example_descriptions/models/unet2d_nuclei_broad']), 'icon': FieldInfo(annotation=Union[Annotated[Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator, PlainSerializer], Annotated[str, Len], NoneType], required=False), 'links': FieldInfo(annotation=List[str], required=False, default_factory=list, examples=[('ilastik/ilastik', 'deepimagej/deepimagej', 'zero/notebook_u-net_3d_zerocostdl4mic')]), 'uploader': FieldInfo(annotation=Union[Uploader, NoneType], required=False), 'maintainers': FieldInfo(annotation=List[Maintainer], required=False, default_factory=list), 'rdf_source': FieldInfo(annotation=Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)], NoneType], required=False), 'tags': FieldInfo(annotation=List[str], required=False, default_factory=list, examples=[('unet2d', 'pytorch', 'nucleus', 'segmentation', 'dsb2018')]), 'version': FieldInfo(annotation=Union[Version, NoneType], required=False), 'version_number': FieldInfo(annotation=Union[int, NoneType], required=False), 'format_version': FieldInfo(annotation=Literal['0.2.4'], required=False, default='0.2.4'), 'badges': FieldInfo(annotation=List[BadgeDescr], required=False, default_factory=list), 'documentation': FieldInfo(annotation=Union[Annotated[Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator, PlainSerializer], NoneType], required=False, examples=['https://raw.githubusercontent.com/bioimage-io/spec-bioimage-io/main/example_descriptions/models/unet2d_nuclei_broad/README.md', 'README.md']), 'license': FieldInfo(annotation=Union[LicenseId, DeprecatedLicenseId, str, NoneType], required=False, examples=['CC-BY-4.0', 'MIT', 'BSD-2-Clause']), 'type': FieldInfo(annotation=Literal['dataset'], required=False, default='dataset'), 'id': FieldInfo(annotation=Union[ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]], NoneType], required=False), 'source': FieldInfo(annotation=Union[HttpUrl, NoneType], required=False)}"}, "bioimageio.spec.dataset.v0_2.DatasetDescr.model_computed_fields": {"fullname": "bioimageio.spec.dataset.v0_2.DatasetDescr.model_computed_fields", "modulename": "bioimageio.spec.dataset.v0_2", "qualname": "DatasetDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.dataset.v0_2.LinkedDataset": {"fullname": "bioimageio.spec.dataset.v0_2.LinkedDataset", "modulename": "bioimageio.spec.dataset.v0_2", "qualname": "LinkedDataset", "kind": "class", "doc": "

Reference to a bioimage.io dataset.

\n", "bases": "bioimageio.spec._internal.node.Node"}, "bioimageio.spec.dataset.v0_2.LinkedDataset.id": {"fullname": "bioimageio.spec.dataset.v0_2.LinkedDataset.id", "modulename": "bioimageio.spec.dataset.v0_2", "qualname": "LinkedDataset.id", "kind": "variable", "doc": "

A valid dataset id from the bioimage.io collection.

\n", "annotation": ": bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]]"}, "bioimageio.spec.dataset.v0_2.LinkedDataset.version_number": {"fullname": "bioimageio.spec.dataset.v0_2.LinkedDataset.version_number", "modulename": "bioimageio.spec.dataset.v0_2", "qualname": "LinkedDataset.version_number", "kind": "variable", "doc": "

version number (n-th published version, not the semantic version) of linked dataset

\n", "annotation": ": Optional[int]"}, "bioimageio.spec.dataset.v0_2.LinkedDataset.model_config": {"fullname": "bioimageio.spec.dataset.v0_2.LinkedDataset.model_config", "modulename": "bioimageio.spec.dataset.v0_2", "qualname": "LinkedDataset.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.dataset.v0_2.LinkedDataset.model_fields": {"fullname": "bioimageio.spec.dataset.v0_2.LinkedDataset.model_fields", "modulename": "bioimageio.spec.dataset.v0_2", "qualname": "LinkedDataset.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'id': FieldInfo(annotation=ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]], required=True), 'version_number': FieldInfo(annotation=Union[int, NoneType], required=False)}"}, "bioimageio.spec.dataset.v0_2.LinkedDataset.model_computed_fields": {"fullname": "bioimageio.spec.dataset.v0_2.LinkedDataset.model_computed_fields", "modulename": "bioimageio.spec.dataset.v0_2", "qualname": "LinkedDataset.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.dataset.v0_3": {"fullname": "bioimageio.spec.dataset.v0_3", "modulename": "bioimageio.spec.dataset.v0_3", "kind": "module", "doc": "

\n"}, "bioimageio.spec.dataset.v0_3.DatasetDescr": {"fullname": "bioimageio.spec.dataset.v0_3.DatasetDescr", "modulename": "bioimageio.spec.dataset.v0_3", "qualname": "DatasetDescr", "kind": "class", "doc": "

A bioimage.io dataset resource description file (dataset RDF) describes a dataset relevant to bioimage\nprocessing.

\n", "bases": "bioimageio.spec.generic.v0_3.GenericDescrBase"}, "bioimageio.spec.dataset.v0_3.DatasetDescr.type": {"fullname": "bioimageio.spec.dataset.v0_3.DatasetDescr.type", "modulename": "bioimageio.spec.dataset.v0_3", "qualname": "DatasetDescr.type", "kind": "variable", "doc": "

\n", "annotation": ": Literal['dataset']"}, "bioimageio.spec.dataset.v0_3.DatasetDescr.id": {"fullname": "bioimageio.spec.dataset.v0_3.DatasetDescr.id", "modulename": "bioimageio.spec.dataset.v0_3", "qualname": "DatasetDescr.id", "kind": "variable", "doc": "

Model zoo (bioimage.io) wide, unique identifier (assigned by bioimage.io)

\n", "annotation": ": Optional[bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]]]"}, "bioimageio.spec.dataset.v0_3.DatasetDescr.parent": {"fullname": "bioimageio.spec.dataset.v0_3.DatasetDescr.parent", "modulename": "bioimageio.spec.dataset.v0_3", "qualname": "DatasetDescr.parent", "kind": "variable", "doc": "

The description from which this one is derived

\n", "annotation": ": Optional[bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]]]"}, "bioimageio.spec.dataset.v0_3.DatasetDescr.source": {"fullname": "bioimageio.spec.dataset.v0_3.DatasetDescr.source", "modulename": "bioimageio.spec.dataset.v0_3", "qualname": "DatasetDescr.source", "kind": "variable", "doc": "

\"URL to the source of the dataset.

\n", "annotation": ": Optional[bioimageio.spec._internal.url.HttpUrl]"}, "bioimageio.spec.dataset.v0_3.DatasetDescr.implemented_format_version": {"fullname": "bioimageio.spec.dataset.v0_3.DatasetDescr.implemented_format_version", "modulename": "bioimageio.spec.dataset.v0_3", "qualname": "DatasetDescr.implemented_format_version", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[str]", "default_value": "'0.3.0'"}, "bioimageio.spec.dataset.v0_3.DatasetDescr.implemented_format_version_tuple": {"fullname": "bioimageio.spec.dataset.v0_3.DatasetDescr.implemented_format_version_tuple", "modulename": "bioimageio.spec.dataset.v0_3", "qualname": "DatasetDescr.implemented_format_version_tuple", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[Tuple[int, int, int]]", "default_value": "(0, 3, 0)"}, "bioimageio.spec.dataset.v0_3.DatasetDescr.model_config": {"fullname": "bioimageio.spec.dataset.v0_3.DatasetDescr.model_config", "modulename": "bioimageio.spec.dataset.v0_3", "qualname": "DatasetDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True, 'title': 'bioimage.io dataset specification'}"}, "bioimageio.spec.dataset.v0_3.DatasetDescr.model_fields": {"fullname": "bioimageio.spec.dataset.v0_3.DatasetDescr.model_fields", "modulename": "bioimageio.spec.dataset.v0_3", "qualname": "DatasetDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'name': FieldInfo(annotation=str, required=True, metadata=[MinLen(min_length=1), MaxLen(max_length=128)]), 'description': FieldInfo(annotation=str, required=True, metadata=[MaxLen(max_length=1024), AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=30, msg='Description longer than 512 characters.', context={'typ': typing.Annotated[typing.Any, MaxLen(max_length=512)]})]), 'covers': FieldInfo(annotation=List[Annotated[Union[HttpUrl, Annotated[Path, PathType, Predicate], RelativeFilePath], WithSuffix, PlainSerializer]], required=False, default_factory=list, description="Cover images. Please use an image smaller than 500KB and an aspect ratio width to height of 2:1 or 1:1.\\nThe supported image formats are: ('.gif', '.jpeg', '.jpg', '.png', '.svg')", examples=[]), 'id_emoji': FieldInfo(annotation=Union[Annotated[str, Len], NoneType], required=False), 'authors': FieldInfo(annotation=List[Author], required=True, metadata=[MinLen(min_length=1)]), 'attachments': FieldInfo(annotation=List[FileDescr], required=False, default_factory=list), 'cite': FieldInfo(annotation=List[CiteEntry], required=True, metadata=[MinLen(min_length=1)]), 'license': FieldInfo(annotation=Union[LicenseId, DeprecatedLicenseId], required=True, examples=['CC-BY-4.0', 'MIT', 'BSD-2-Clause'], metadata=[AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=30, msg='{value} is deprecated, see https://spdx.org/licenses/{value}.html', context={'typ': <class 'bioimageio.spec._internal.license_id.LicenseId'>})]), 'config': FieldInfo(annotation=Dict[str, YamlValue], required=False, default_factory=dict, examples=[{'bioimageio': {'my_custom_key': 3837283, 'another_key': {'nested': 'value'}}, 'imagej': {'macro_dir': 'path/to/macro/file'}}]), 'git_repo': FieldInfo(annotation=Union[HttpUrl, NoneType], required=False, examples=['https://github.com/bioimage-io/spec-bioimage-io/tree/main/example_descriptions/models/unet2d_nuclei_broad']), 'icon': FieldInfo(annotation=Union[Annotated[Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator, PlainSerializer], Annotated[str, Len], NoneType], required=False), 'links': FieldInfo(annotation=List[str], required=False, default_factory=list, examples=[('ilastik/ilastik', 'deepimagej/deepimagej', 'zero/notebook_u-net_3d_zerocostdl4mic')]), 'uploader': FieldInfo(annotation=Union[Uploader, NoneType], required=False), 'maintainers': FieldInfo(annotation=List[Maintainer], required=False, default_factory=list), 'tags': FieldInfo(annotation=List[str], required=False, default_factory=list, examples=[('unet2d', 'pytorch', 'nucleus', 'segmentation', 'dsb2018')]), 'version': FieldInfo(annotation=Union[Version, NoneType], required=False), 'version_number': FieldInfo(annotation=Union[int, NoneType], required=False), 'format_version': FieldInfo(annotation=Literal['0.3.0'], required=False, default='0.3.0'), 'documentation': FieldInfo(annotation=Union[Annotated[Union[Annotated[Path, PathType, Predicate], RelativeFilePath, HttpUrl], AfterValidator, PlainSerializer], NoneType], required=False, examples=['https://raw.githubusercontent.com/bioimage-io/spec-bioimage-io/main/example_descriptions/models/unet2d_nuclei_broad/README.md', 'README.md']), 'badges': FieldInfo(annotation=List[BadgeDescr], required=False, default_factory=list), 'type': FieldInfo(annotation=Literal['dataset'], required=False, default='dataset'), 'id': FieldInfo(annotation=Union[ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]], NoneType], required=False), 'parent': FieldInfo(annotation=Union[ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]], NoneType], required=False), 'source': FieldInfo(annotation=Union[HttpUrl, NoneType], required=False)}"}, "bioimageio.spec.dataset.v0_3.DatasetDescr.model_computed_fields": {"fullname": "bioimageio.spec.dataset.v0_3.DatasetDescr.model_computed_fields", "modulename": "bioimageio.spec.dataset.v0_3", "qualname": "DatasetDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.dataset.v0_3.LinkedDataset": {"fullname": "bioimageio.spec.dataset.v0_3.LinkedDataset", "modulename": "bioimageio.spec.dataset.v0_3", "qualname": "LinkedDataset", "kind": "class", "doc": "

Reference to a bioimage.io dataset.

\n", "bases": "bioimageio.spec._internal.node.Node"}, "bioimageio.spec.dataset.v0_3.LinkedDataset.id": {"fullname": "bioimageio.spec.dataset.v0_3.LinkedDataset.id", "modulename": "bioimageio.spec.dataset.v0_3", "qualname": "LinkedDataset.id", "kind": "variable", "doc": "

A valid dataset id from the bioimage.io collection.

\n", "annotation": ": bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]]"}, "bioimageio.spec.dataset.v0_3.LinkedDataset.version_number": {"fullname": "bioimageio.spec.dataset.v0_3.LinkedDataset.version_number", "modulename": "bioimageio.spec.dataset.v0_3", "qualname": "LinkedDataset.version_number", "kind": "variable", "doc": "

version number (n-th published version, not the semantic version) of linked dataset

\n", "annotation": ": int"}, "bioimageio.spec.dataset.v0_3.LinkedDataset.model_config": {"fullname": "bioimageio.spec.dataset.v0_3.LinkedDataset.model_config", "modulename": "bioimageio.spec.dataset.v0_3", "qualname": "LinkedDataset.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.dataset.v0_3.LinkedDataset.model_fields": {"fullname": "bioimageio.spec.dataset.v0_3.LinkedDataset.model_fields", "modulename": "bioimageio.spec.dataset.v0_3", "qualname": "LinkedDataset.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'id': FieldInfo(annotation=ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]], required=True), 'version_number': FieldInfo(annotation=int, required=True)}"}, "bioimageio.spec.dataset.v0_3.LinkedDataset.model_computed_fields": {"fullname": "bioimageio.spec.dataset.v0_3.LinkedDataset.model_computed_fields", "modulename": "bioimageio.spec.dataset.v0_3", "qualname": "LinkedDataset.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.generic": {"fullname": "bioimageio.spec.generic", "modulename": "bioimageio.spec.generic", "kind": "module", "doc": "

implementaions of all released minor versions are available in submodules:

\n\n\n"}, "bioimageio.spec.generic.AnyGenericDescr": {"fullname": "bioimageio.spec.generic.AnyGenericDescr", "modulename": "bioimageio.spec.generic", "qualname": "AnyGenericDescr", "kind": "variable", "doc": "

Union of any released generic desription

\n", "default_value": "typing.Annotated[typing.Union[bioimageio.spec.generic.v0_2.GenericDescr, bioimageio.spec.generic.v0_3.GenericDescr], Discriminator(discriminator='format_version', custom_error_type=None, custom_error_message=None, custom_error_context=None)]"}, "bioimageio.spec.generic.v0_2": {"fullname": "bioimageio.spec.generic.v0_2", "modulename": "bioimageio.spec.generic.v0_2", "kind": "module", "doc": "

\n"}, "bioimageio.spec.generic.v0_2.KNOWN_SPECIFIC_RESOURCE_TYPES": {"fullname": "bioimageio.spec.generic.v0_2.KNOWN_SPECIFIC_RESOURCE_TYPES", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "KNOWN_SPECIFIC_RESOURCE_TYPES", "kind": "variable", "doc": "

\n", "default_value": "('application', 'collection', 'dataset', 'model', 'notebook')"}, "bioimageio.spec.generic.v0_2.VALID_COVER_IMAGE_EXTENSIONS": {"fullname": "bioimageio.spec.generic.v0_2.VALID_COVER_IMAGE_EXTENSIONS", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "VALID_COVER_IMAGE_EXTENSIONS", "kind": "variable", "doc": "

\n", "default_value": "('.gif', '.jpeg', '.jpg', '.png', '.svg')"}, "bioimageio.spec.generic.v0_2.CoverImageSource": {"fullname": "bioimageio.spec.generic.v0_2.CoverImageSource", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "CoverImageSource", "kind": "variable", "doc": "

\n", "default_value": "typing.Annotated[typing.Union[bioimageio.spec._internal.url.HttpUrl, typing.Annotated[pathlib.Path, PathType(path_type='file'), Predicate(func=<function PurePath.is_absolute>)], bioimageio.spec._internal.io.RelativeFilePath], WithSuffix(suffix=('.gif', '.jpeg', '.jpg', '.png', '.svg'), case_sensitive=False), PlainSerializer(func=<function _package>, return_type=PydanticUndefined, when_used='unless-none')]"}, "bioimageio.spec.generic.v0_2.AttachmentsDescr": {"fullname": "bioimageio.spec.generic.v0_2.AttachmentsDescr", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "AttachmentsDescr", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "bioimageio.spec._internal.node.Node"}, "bioimageio.spec.generic.v0_2.AttachmentsDescr.model_config": {"fullname": "bioimageio.spec.generic.v0_2.AttachmentsDescr.model_config", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "AttachmentsDescr.model_config", "kind": "variable", "doc": "

update pydantic model config to allow additional unknown keys

\n", "default_value": "{'extra': 'allow', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.generic.v0_2.AttachmentsDescr.files": {"fullname": "bioimageio.spec.generic.v0_2.AttachmentsDescr.files", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "AttachmentsDescr.files", "kind": "variable", "doc": "

\u2208\ud83d\udce6 File attachments

\n", "annotation": ": List[Annotated[Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator(func=<function wo_special_file_name at 0x7f46aaa98680>), PlainSerializer(func=<function _package at 0x7f46aaa998a0>, return_type=PydanticUndefined, when_used='unless-none')]]"}, "bioimageio.spec.generic.v0_2.AttachmentsDescr.model_fields": {"fullname": "bioimageio.spec.generic.v0_2.AttachmentsDescr.model_fields", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "AttachmentsDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'files': FieldInfo(annotation=List[Annotated[Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator, PlainSerializer]], required=False, default_factory=list)}"}, "bioimageio.spec.generic.v0_2.AttachmentsDescr.model_computed_fields": {"fullname": "bioimageio.spec.generic.v0_2.AttachmentsDescr.model_computed_fields", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "AttachmentsDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.generic.v0_2.Uploader": {"fullname": "bioimageio.spec.generic.v0_2.Uploader", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "Uploader", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "bioimageio.spec._internal.node.Node"}, "bioimageio.spec.generic.v0_2.Uploader.email": {"fullname": "bioimageio.spec.generic.v0_2.Uploader.email", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "Uploader.email", "kind": "variable", "doc": "

Email

\n", "annotation": ": pydantic.networks.EmailStr"}, "bioimageio.spec.generic.v0_2.Uploader.name": {"fullname": "bioimageio.spec.generic.v0_2.Uploader.name", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "Uploader.name", "kind": "variable", "doc": "

name

\n", "annotation": ": Optional[Annotated[str, AfterValidator(func=<function _remove_slashes at 0x7f46aaafe8e0>)]]"}, "bioimageio.spec.generic.v0_2.Uploader.model_config": {"fullname": "bioimageio.spec.generic.v0_2.Uploader.model_config", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "Uploader.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.generic.v0_2.Uploader.model_fields": {"fullname": "bioimageio.spec.generic.v0_2.Uploader.model_fields", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "Uploader.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'email': FieldInfo(annotation=EmailStr, required=True), 'name': FieldInfo(annotation=Union[Annotated[str, AfterValidator], NoneType], required=False)}"}, "bioimageio.spec.generic.v0_2.Uploader.model_computed_fields": {"fullname": "bioimageio.spec.generic.v0_2.Uploader.model_computed_fields", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "Uploader.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.generic.v0_2.Author": {"fullname": "bioimageio.spec.generic.v0_2.Author", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "Author", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "_Person"}, "bioimageio.spec.generic.v0_2.Author.name": {"fullname": "bioimageio.spec.generic.v0_2.Author.name", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "Author.name", "kind": "variable", "doc": "

\n", "annotation": ": Annotated[str, AfterValidator(func=<function _remove_slashes at 0x7f46aaafe8e0>)]"}, "bioimageio.spec.generic.v0_2.Author.github_user": {"fullname": "bioimageio.spec.generic.v0_2.Author.github_user", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "Author.github_user", "kind": "variable", "doc": "

\n", "annotation": ": Optional[str]"}, "bioimageio.spec.generic.v0_2.Author.model_config": {"fullname": "bioimageio.spec.generic.v0_2.Author.model_config", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "Author.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.generic.v0_2.Author.model_fields": {"fullname": "bioimageio.spec.generic.v0_2.Author.model_fields", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "Author.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'affiliation': FieldInfo(annotation=Union[str, NoneType], required=False), 'email': FieldInfo(annotation=Union[EmailStr, NoneType], required=False), 'orcid': FieldInfo(annotation=Union[ValidatedString[Annotated[str, AfterValidator]], NoneType], required=False, examples=['0000-0001-2345-6789']), 'name': FieldInfo(annotation=str, required=True, metadata=[AfterValidator(func=<function _remove_slashes>)]), 'github_user': FieldInfo(annotation=Union[str, NoneType], required=False)}"}, "bioimageio.spec.generic.v0_2.Author.model_computed_fields": {"fullname": "bioimageio.spec.generic.v0_2.Author.model_computed_fields", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "Author.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.generic.v0_2.Maintainer": {"fullname": "bioimageio.spec.generic.v0_2.Maintainer", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "Maintainer", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "_Person"}, "bioimageio.spec.generic.v0_2.Maintainer.name": {"fullname": "bioimageio.spec.generic.v0_2.Maintainer.name", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "Maintainer.name", "kind": "variable", "doc": "

\n", "annotation": ": Optional[Annotated[str, AfterValidator(func=<function _remove_slashes at 0x7f46aaafe8e0>)]]"}, "bioimageio.spec.generic.v0_2.Maintainer.github_user": {"fullname": "bioimageio.spec.generic.v0_2.Maintainer.github_user", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "Maintainer.github_user", "kind": "variable", "doc": "

\n", "annotation": ": str"}, "bioimageio.spec.generic.v0_2.Maintainer.model_config": {"fullname": "bioimageio.spec.generic.v0_2.Maintainer.model_config", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "Maintainer.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.generic.v0_2.Maintainer.model_fields": {"fullname": "bioimageio.spec.generic.v0_2.Maintainer.model_fields", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "Maintainer.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'affiliation': FieldInfo(annotation=Union[str, NoneType], required=False), 'email': FieldInfo(annotation=Union[EmailStr, NoneType], required=False), 'orcid': FieldInfo(annotation=Union[ValidatedString[Annotated[str, AfterValidator]], NoneType], required=False, examples=['0000-0001-2345-6789']), 'name': FieldInfo(annotation=Union[Annotated[str, AfterValidator], NoneType], required=False), 'github_user': FieldInfo(annotation=str, required=True)}"}, "bioimageio.spec.generic.v0_2.Maintainer.model_computed_fields": {"fullname": "bioimageio.spec.generic.v0_2.Maintainer.model_computed_fields", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "Maintainer.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.generic.v0_2.BadgeDescr": {"fullname": "bioimageio.spec.generic.v0_2.BadgeDescr", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "BadgeDescr", "kind": "class", "doc": "

A custom badge

\n", "bases": "bioimageio.spec._internal.node.Node"}, "bioimageio.spec.generic.v0_2.BadgeDescr.label": {"fullname": "bioimageio.spec.generic.v0_2.BadgeDescr.label", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "BadgeDescr.label", "kind": "variable", "doc": "

badge label to display on hover

\n", "annotation": ": Annotated[str, FieldInfo(annotation=NoneType, required=True, examples=['Open in Colab'])]"}, "bioimageio.spec.generic.v0_2.BadgeDescr.icon": {"fullname": "bioimageio.spec.generic.v0_2.BadgeDescr.icon", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "BadgeDescr.icon", "kind": "variable", "doc": "

badge icon

\n", "annotation": ": Annotated[Optional[bioimageio.spec._internal.url.HttpUrl], FieldInfo(annotation=NoneType, required=True, examples=['https://colab.research.google.com/assets/colab-badge.svg'])]"}, "bioimageio.spec.generic.v0_2.BadgeDescr.url": {"fullname": "bioimageio.spec.generic.v0_2.BadgeDescr.url", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "BadgeDescr.url", "kind": "variable", "doc": "

target URL

\n", "annotation": ": Annotated[bioimageio.spec._internal.url.HttpUrl, FieldInfo(annotation=NoneType, required=True, examples=['https://colab.research.google.com/github/HenriquesLab/ZeroCostDL4Mic/blob/master/Colab_notebooks/U-net_2D_ZeroCostDL4Mic.ipynb'])]"}, "bioimageio.spec.generic.v0_2.BadgeDescr.model_config": {"fullname": "bioimageio.spec.generic.v0_2.BadgeDescr.model_config", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "BadgeDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True, 'title': 'Custom badge'}"}, "bioimageio.spec.generic.v0_2.BadgeDescr.model_fields": {"fullname": "bioimageio.spec.generic.v0_2.BadgeDescr.model_fields", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "BadgeDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'label': FieldInfo(annotation=str, required=True, examples=['Open in Colab']), 'icon': FieldInfo(annotation=Union[HttpUrl, NoneType], required=False, examples=['https://colab.research.google.com/assets/colab-badge.svg']), 'url': FieldInfo(annotation=HttpUrl, required=True, examples=['https://colab.research.google.com/github/HenriquesLab/ZeroCostDL4Mic/blob/master/Colab_notebooks/U-net_2D_ZeroCostDL4Mic.ipynb'])}"}, "bioimageio.spec.generic.v0_2.BadgeDescr.model_computed_fields": {"fullname": "bioimageio.spec.generic.v0_2.BadgeDescr.model_computed_fields", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "BadgeDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.generic.v0_2.CiteEntry": {"fullname": "bioimageio.spec.generic.v0_2.CiteEntry", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "CiteEntry", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "bioimageio.spec._internal.node.Node"}, "bioimageio.spec.generic.v0_2.CiteEntry.text": {"fullname": "bioimageio.spec.generic.v0_2.CiteEntry.text", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "CiteEntry.text", "kind": "variable", "doc": "

free text description

\n", "annotation": ": str"}, "bioimageio.spec.generic.v0_2.CiteEntry.doi": {"fullname": "bioimageio.spec.generic.v0_2.CiteEntry.doi", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "CiteEntry.doi", "kind": "variable", "doc": "

A digital object identifier (DOI) is the prefered citation reference.\nSee https://www.doi.org/ for details. (alternatively specify url)

\n", "annotation": ": Optional[bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, StringConstraints]]]"}, "bioimageio.spec.generic.v0_2.CiteEntry.accept_prefixed_doi": {"fullname": "bioimageio.spec.generic.v0_2.CiteEntry.accept_prefixed_doi", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "CiteEntry.accept_prefixed_doi", "kind": "function", "doc": "

\n", "signature": "(cls, doi: Any) -> Any:", "funcdef": "def"}, "bioimageio.spec.generic.v0_2.CiteEntry.url": {"fullname": "bioimageio.spec.generic.v0_2.CiteEntry.url", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "CiteEntry.url", "kind": "variable", "doc": "

URL to cite (preferably specify a doi instead)

\n", "annotation": ": Optional[str]"}, "bioimageio.spec.generic.v0_2.CiteEntry.model_config": {"fullname": "bioimageio.spec.generic.v0_2.CiteEntry.model_config", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "CiteEntry.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.generic.v0_2.CiteEntry.model_fields": {"fullname": "bioimageio.spec.generic.v0_2.CiteEntry.model_fields", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "CiteEntry.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'text': FieldInfo(annotation=str, required=True), 'doi': FieldInfo(annotation=Union[ValidatedString[Annotated[str, StringConstraints]], NoneType], required=False), 'url': FieldInfo(annotation=Union[str, NoneType], required=False)}"}, "bioimageio.spec.generic.v0_2.CiteEntry.model_computed_fields": {"fullname": "bioimageio.spec.generic.v0_2.CiteEntry.model_computed_fields", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "CiteEntry.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.generic.v0_2.LinkedResource": {"fullname": "bioimageio.spec.generic.v0_2.LinkedResource", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "LinkedResource", "kind": "class", "doc": "

Reference to a bioimage.io resource

\n", "bases": "bioimageio.spec._internal.node.Node"}, "bioimageio.spec.generic.v0_2.LinkedResource.id": {"fullname": "bioimageio.spec.generic.v0_2.LinkedResource.id", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "LinkedResource.id", "kind": "variable", "doc": "

A valid resource id from the bioimage.io collection.

\n", "annotation": ": bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]]"}, "bioimageio.spec.generic.v0_2.LinkedResource.version_number": {"fullname": "bioimageio.spec.generic.v0_2.LinkedResource.version_number", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "LinkedResource.version_number", "kind": "variable", "doc": "

version number (n-th published version, not the semantic version) of linked resource

\n", "annotation": ": Optional[int]"}, "bioimageio.spec.generic.v0_2.LinkedResource.model_config": {"fullname": "bioimageio.spec.generic.v0_2.LinkedResource.model_config", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "LinkedResource.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.generic.v0_2.LinkedResource.model_fields": {"fullname": "bioimageio.spec.generic.v0_2.LinkedResource.model_fields", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "LinkedResource.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'id': FieldInfo(annotation=ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]], required=True), 'version_number': FieldInfo(annotation=Union[int, NoneType], required=False)}"}, "bioimageio.spec.generic.v0_2.LinkedResource.model_computed_fields": {"fullname": "bioimageio.spec.generic.v0_2.LinkedResource.model_computed_fields", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "LinkedResource.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.generic.v0_2.GenericModelDescrBase": {"fullname": "bioimageio.spec.generic.v0_2.GenericModelDescrBase", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericModelDescrBase", "kind": "class", "doc": "

Base for all resource descriptions including of model descriptions

\n", "bases": "bioimageio.spec._internal.common_nodes.ResourceDescrBase"}, "bioimageio.spec.generic.v0_2.GenericModelDescrBase.name": {"fullname": "bioimageio.spec.generic.v0_2.GenericModelDescrBase.name", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericModelDescrBase.name", "kind": "variable", "doc": "

A human-friendly name of the resource description

\n", "annotation": ": Annotated[str, MinLen(min_length=1), AfterWarner(func=<function as_warning.<locals>.wrapper at 0x7f46aab591c0>, severity=30, msg='Longer than 128 characters.', context={'typ': Annotated[Any, MaxLen(max_length=128)]})]"}, "bioimageio.spec.generic.v0_2.GenericModelDescrBase.description": {"fullname": "bioimageio.spec.generic.v0_2.GenericModelDescrBase.description", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericModelDescrBase.description", "kind": "variable", "doc": "

\n", "annotation": ": str"}, "bioimageio.spec.generic.v0_2.GenericModelDescrBase.covers": {"fullname": "bioimageio.spec.generic.v0_2.GenericModelDescrBase.covers", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericModelDescrBase.covers", "kind": "variable", "doc": "

\u2208\ud83d\udce6 Cover images. Please use an image smaller than 500KB and an aspect ratio width to height of 2:1.

\n", "annotation": ": Annotated[List[Annotated[Union[bioimageio.spec._internal.url.HttpUrl, Annotated[pathlib.Path, PathType(path_type='file'), Predicate(func=<function PurePath.is_absolute at 0x7f46ae045940>)], bioimageio.spec._internal.io.RelativeFilePath], WithSuffix(suffix=('.gif', '.jpeg', '.jpg', '.png', '.svg'), case_sensitive=False), PlainSerializer(func=<function _package at 0x7f46aaa998a0>, return_type=PydanticUndefined, when_used='unless-none')]], FieldInfo(annotation=NoneType, required=True, description="Cover images. Please use an image smaller than 500KB and an aspect ratio width to height of 2:1.\\nThe supported image formats are: ('.gif', '.jpeg', '.jpg', '.png', '.svg')", examples=['cover.png'])]"}, "bioimageio.spec.generic.v0_2.GenericModelDescrBase.id_emoji": {"fullname": "bioimageio.spec.generic.v0_2.GenericModelDescrBase.id_emoji", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericModelDescrBase.id_emoji", "kind": "variable", "doc": "

UTF-8 emoji for display alongside the id.

\n", "annotation": ": Optional[Annotated[str, Len(min_length=1, max_length=1)]]"}, "bioimageio.spec.generic.v0_2.GenericModelDescrBase.authors": {"fullname": "bioimageio.spec.generic.v0_2.GenericModelDescrBase.authors", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericModelDescrBase.authors", "kind": "variable", "doc": "

The authors are the creators of the RDF and the primary points of contact.

\n", "annotation": ": List[bioimageio.spec.generic.v0_2.Author]"}, "bioimageio.spec.generic.v0_2.GenericModelDescrBase.accept_author_strings": {"fullname": "bioimageio.spec.generic.v0_2.GenericModelDescrBase.accept_author_strings", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericModelDescrBase.accept_author_strings", "kind": "function", "doc": "

we unofficially accept strings as author entries

\n", "signature": "(cls, authors: Union[Any, Sequence[Any]]) -> Any:", "funcdef": "def"}, "bioimageio.spec.generic.v0_2.GenericModelDescrBase.attachments": {"fullname": "bioimageio.spec.generic.v0_2.GenericModelDescrBase.attachments", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericModelDescrBase.attachments", "kind": "variable", "doc": "

file and other attachments

\n", "annotation": ": Optional[bioimageio.spec.generic.v0_2.AttachmentsDescr]"}, "bioimageio.spec.generic.v0_2.GenericModelDescrBase.cite": {"fullname": "bioimageio.spec.generic.v0_2.GenericModelDescrBase.cite", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericModelDescrBase.cite", "kind": "variable", "doc": "

citations

\n", "annotation": ": List[bioimageio.spec.generic.v0_2.CiteEntry]"}, "bioimageio.spec.generic.v0_2.GenericModelDescrBase.config": {"fullname": "bioimageio.spec.generic.v0_2.GenericModelDescrBase.config", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericModelDescrBase.config", "kind": "variable", "doc": "

A field for custom configuration that can contain any keys not present in the RDF spec.\nThis means you should not store, for example, a github repo URL in config since we already have the\ngit_repo field defined in the spec.\nKeys in config may be very specific to a tool or consumer software. To avoid conflicting definitions,\nit is recommended to wrap added configuration into a sub-field named with the specific domain or tool name,\nfor example:

\n\n
\n
config:\n    bioimageio:  # here is the domain name\n        my_custom_key: 3837283\n        another_key:\n            nested: value\n    imagej:       # config specific to ImageJ\n        macro_dir: path/to/macro/file\n
\n
\n\n

If possible, please use snake_case for keys in config.\nYou may want to list linked files additionally under attachments to include them when packaging a resource\n(packaging a resource means downloading/copying important linked files and creating a ZIP archive that contains\nan altered rdf.yaml file with local references to the downloaded files)

\n", "annotation": ": Annotated[Dict[str, YamlValue], FieldInfo(annotation=NoneType, required=True, examples=[{'bioimageio': {'my_custom_key': 3837283, 'another_key': {'nested': 'value'}}, 'imagej': {'macro_dir': 'path/to/macro/file'}}])]"}, "bioimageio.spec.generic.v0_2.GenericModelDescrBase.download_url": {"fullname": "bioimageio.spec.generic.v0_2.GenericModelDescrBase.download_url", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericModelDescrBase.download_url", "kind": "variable", "doc": "

URL to download the resource from (deprecated)

\n", "annotation": ": Optional[bioimageio.spec._internal.url.HttpUrl]"}, "bioimageio.spec.generic.v0_2.GenericModelDescrBase.git_repo": {"fullname": "bioimageio.spec.generic.v0_2.GenericModelDescrBase.git_repo", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericModelDescrBase.git_repo", "kind": "variable", "doc": "

A URL to the Git repository where the resource is being developed.

\n", "annotation": ": Annotated[Optional[str], FieldInfo(annotation=NoneType, required=True, examples=['https://github.com/bioimage-io/spec-bioimage-io/tree/main/example_descriptions/models/unet2d_nuclei_broad'])]"}, "bioimageio.spec.generic.v0_2.GenericModelDescrBase.icon": {"fullname": "bioimageio.spec.generic.v0_2.GenericModelDescrBase.icon", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericModelDescrBase.icon", "kind": "variable", "doc": "

An icon for illustration

\n", "annotation": ": Union[Annotated[Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator(func=<function wo_special_file_name at 0x7f46aaa98680>), PlainSerializer(func=<function _package at 0x7f46aaa998a0>, return_type=PydanticUndefined, when_used='unless-none')], Annotated[str, Len(min_length=1, max_length=2)], NoneType]"}, "bioimageio.spec.generic.v0_2.GenericModelDescrBase.links": {"fullname": "bioimageio.spec.generic.v0_2.GenericModelDescrBase.links", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericModelDescrBase.links", "kind": "variable", "doc": "

IDs of other bioimage.io resources

\n", "annotation": ": Annotated[List[str], FieldInfo(annotation=NoneType, required=True, examples=[('ilastik/ilastik', 'deepimagej/deepimagej', 'zero/notebook_u-net_3d_zerocostdl4mic')])]"}, "bioimageio.spec.generic.v0_2.GenericModelDescrBase.uploader": {"fullname": "bioimageio.spec.generic.v0_2.GenericModelDescrBase.uploader", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericModelDescrBase.uploader", "kind": "variable", "doc": "

The person who uploaded the model (e.g. to bioimage.io)

\n", "annotation": ": Optional[bioimageio.spec.generic.v0_2.Uploader]"}, "bioimageio.spec.generic.v0_2.GenericModelDescrBase.maintainers": {"fullname": "bioimageio.spec.generic.v0_2.GenericModelDescrBase.maintainers", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericModelDescrBase.maintainers", "kind": "variable", "doc": "

Maintainers of this resource.\nIf not specified authors are maintainers and at least some of them should specify their github_user name

\n", "annotation": ": List[bioimageio.spec.generic.v0_2.Maintainer]"}, "bioimageio.spec.generic.v0_2.GenericModelDescrBase.rdf_source": {"fullname": "bioimageio.spec.generic.v0_2.GenericModelDescrBase.rdf_source", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericModelDescrBase.rdf_source", "kind": "variable", "doc": "

Resource description file (RDF) source; used to keep track of where an rdf.yaml was loaded from.\nDo not set this field in a YAML file.

\n", "annotation": ": Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)], NoneType]"}, "bioimageio.spec.generic.v0_2.GenericModelDescrBase.tags": {"fullname": "bioimageio.spec.generic.v0_2.GenericModelDescrBase.tags", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericModelDescrBase.tags", "kind": "variable", "doc": "

Associated tags

\n", "annotation": ": Annotated[List[str], FieldInfo(annotation=NoneType, required=True, examples=[('unet2d', 'pytorch', 'nucleus', 'segmentation', 'dsb2018')])]"}, "bioimageio.spec.generic.v0_2.GenericModelDescrBase.warn_about_tag_categories": {"fullname": "bioimageio.spec.generic.v0_2.GenericModelDescrBase.warn_about_tag_categories", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericModelDescrBase.warn_about_tag_categories", "kind": "function", "doc": "

\n", "signature": "(value: Any, info: pydantic_core.core_schema.ValidationInfo) -> Any:", "funcdef": "def"}, "bioimageio.spec.generic.v0_2.GenericModelDescrBase.version": {"fullname": "bioimageio.spec.generic.v0_2.GenericModelDescrBase.version", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericModelDescrBase.version", "kind": "variable", "doc": "

The version of the resource following SemVer 2.0.

\n", "annotation": ": Optional[bioimageio.spec._internal.version_type.Version]"}, "bioimageio.spec.generic.v0_2.GenericModelDescrBase.version_number": {"fullname": "bioimageio.spec.generic.v0_2.GenericModelDescrBase.version_number", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericModelDescrBase.version_number", "kind": "variable", "doc": "

version number (n-th published version, not the semantic version)

\n", "annotation": ": Optional[int]"}, "bioimageio.spec.generic.v0_2.GenericModelDescrBase.model_config": {"fullname": "bioimageio.spec.generic.v0_2.GenericModelDescrBase.model_config", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericModelDescrBase.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.generic.v0_2.GenericModelDescrBase.model_fields": {"fullname": "bioimageio.spec.generic.v0_2.GenericModelDescrBase.model_fields", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericModelDescrBase.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'name': FieldInfo(annotation=str, required=True, metadata=[MinLen(min_length=1), AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=30, msg='Longer than 128 characters.', context={'typ': typing.Annotated[typing.Any, MaxLen(max_length=128)]})]), 'description': FieldInfo(annotation=str, required=True), 'covers': FieldInfo(annotation=List[Annotated[Union[HttpUrl, Annotated[Path, PathType, Predicate], RelativeFilePath], WithSuffix, PlainSerializer]], required=False, default_factory=list, description="Cover images. Please use an image smaller than 500KB and an aspect ratio width to height of 2:1.\\nThe supported image formats are: ('.gif', '.jpeg', '.jpg', '.png', '.svg')", examples=['cover.png']), 'id_emoji': FieldInfo(annotation=Union[Annotated[str, Len], NoneType], required=False), 'authors': FieldInfo(annotation=List[Author], required=False, default_factory=list), 'attachments': FieldInfo(annotation=Union[AttachmentsDescr, NoneType], required=False), 'cite': FieldInfo(annotation=List[CiteEntry], required=False, default_factory=list), 'config': FieldInfo(annotation=Dict[str, YamlValue], required=False, default_factory=dict, examples=[{'bioimageio': {'my_custom_key': 3837283, 'another_key': {'nested': 'value'}}, 'imagej': {'macro_dir': 'path/to/macro/file'}}]), 'download_url': FieldInfo(annotation=Union[HttpUrl, NoneType], required=False), 'git_repo': FieldInfo(annotation=Union[str, NoneType], required=False, examples=['https://github.com/bioimage-io/spec-bioimage-io/tree/main/example_descriptions/models/unet2d_nuclei_broad']), 'icon': FieldInfo(annotation=Union[Annotated[Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator, PlainSerializer], Annotated[str, Len], NoneType], required=False), 'links': FieldInfo(annotation=List[str], required=False, default_factory=list, examples=[('ilastik/ilastik', 'deepimagej/deepimagej', 'zero/notebook_u-net_3d_zerocostdl4mic')]), 'uploader': FieldInfo(annotation=Union[Uploader, NoneType], required=False), 'maintainers': FieldInfo(annotation=List[Maintainer], required=False, default_factory=list), 'rdf_source': FieldInfo(annotation=Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)], NoneType], required=False), 'tags': FieldInfo(annotation=List[str], required=False, default_factory=list, examples=[('unet2d', 'pytorch', 'nucleus', 'segmentation', 'dsb2018')]), 'version': FieldInfo(annotation=Union[Version, NoneType], required=False), 'version_number': FieldInfo(annotation=Union[int, NoneType], required=False)}"}, "bioimageio.spec.generic.v0_2.GenericModelDescrBase.model_computed_fields": {"fullname": "bioimageio.spec.generic.v0_2.GenericModelDescrBase.model_computed_fields", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericModelDescrBase.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.generic.v0_2.GenericDescrBase": {"fullname": "bioimageio.spec.generic.v0_2.GenericDescrBase", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericDescrBase", "kind": "class", "doc": "

Base for all resource descriptions except for the model descriptions

\n", "bases": "GenericModelDescrBase"}, "bioimageio.spec.generic.v0_2.GenericDescrBase.format_version": {"fullname": "bioimageio.spec.generic.v0_2.GenericDescrBase.format_version", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericDescrBase.format_version", "kind": "variable", "doc": "

The format version of this resource specification\n(not the version of the resource description)\nWhen creating a new resource always use the latest micro/patch version described here.\nThe format_version is important for any consumer software to understand how to parse the fields.

\n", "annotation": ": Literal['0.2.4']"}, "bioimageio.spec.generic.v0_2.GenericDescrBase.badges": {"fullname": "bioimageio.spec.generic.v0_2.GenericDescrBase.badges", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericDescrBase.badges", "kind": "variable", "doc": "

badges associated with this resource

\n", "annotation": ": List[bioimageio.spec.generic.v0_2.BadgeDescr]"}, "bioimageio.spec.generic.v0_2.GenericDescrBase.documentation": {"fullname": "bioimageio.spec.generic.v0_2.GenericDescrBase.documentation", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericDescrBase.documentation", "kind": "variable", "doc": "

\u2208\ud83d\udce6 URL or relative path to a markdown file with additional documentation.\nThe recommended documentation file name is README.md. An .md suffix is mandatory.

\n", "annotation": ": Annotated[Optional[Annotated[Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator(func=<function wo_special_file_name at 0x7f46aaa98680>), PlainSerializer(func=<function _package at 0x7f46aaa998a0>, return_type=PydanticUndefined, when_used='unless-none')]], FieldInfo(annotation=NoneType, required=True, examples=['https://raw.githubusercontent.com/bioimage-io/spec-bioimage-io/main/example_descriptions/models/unet2d_nuclei_broad/README.md', 'README.md'])]"}, "bioimageio.spec.generic.v0_2.GenericDescrBase.license": {"fullname": "bioimageio.spec.generic.v0_2.GenericDescrBase.license", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericDescrBase.license", "kind": "variable", "doc": "

A SPDX license identifier.\nWe do not support custom license beyond the SPDX license list, if you need that please\nopen a GitHub issue to discuss your intentions with the community.

\n", "annotation": ": Annotated[Union[bioimageio.spec._internal.license_id.LicenseId, bioimageio.spec._internal.license_id.DeprecatedLicenseId, str, NoneType], FieldInfo(annotation=NoneType, required=True, examples=['CC-BY-4.0', 'MIT', 'BSD-2-Clause'])]"}, "bioimageio.spec.generic.v0_2.GenericDescrBase.deprecated_spdx_license": {"fullname": "bioimageio.spec.generic.v0_2.GenericDescrBase.deprecated_spdx_license", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericDescrBase.deprecated_spdx_license", "kind": "function", "doc": "

\n", "signature": "(\tcls,\tvalue: Union[bioimageio.spec._internal.license_id.LicenseId, bioimageio.spec._internal.license_id.DeprecatedLicenseId, str, NoneType]):", "funcdef": "def"}, "bioimageio.spec.generic.v0_2.GenericDescrBase.implemented_format_version": {"fullname": "bioimageio.spec.generic.v0_2.GenericDescrBase.implemented_format_version", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericDescrBase.implemented_format_version", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[str]", "default_value": "'0.2.4'"}, "bioimageio.spec.generic.v0_2.GenericDescrBase.implemented_format_version_tuple": {"fullname": "bioimageio.spec.generic.v0_2.GenericDescrBase.implemented_format_version_tuple", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericDescrBase.implemented_format_version_tuple", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[Tuple[int, int, int]]", "default_value": "(0, 2, 4)"}, "bioimageio.spec.generic.v0_2.GenericDescrBase.model_config": {"fullname": "bioimageio.spec.generic.v0_2.GenericDescrBase.model_config", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericDescrBase.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.generic.v0_2.GenericDescrBase.model_fields": {"fullname": "bioimageio.spec.generic.v0_2.GenericDescrBase.model_fields", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericDescrBase.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'name': FieldInfo(annotation=str, required=True, metadata=[MinLen(min_length=1), AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=30, msg='Longer than 128 characters.', context={'typ': typing.Annotated[typing.Any, MaxLen(max_length=128)]})]), 'description': FieldInfo(annotation=str, required=True), 'covers': FieldInfo(annotation=List[Annotated[Union[HttpUrl, Annotated[Path, PathType, Predicate], RelativeFilePath], WithSuffix, PlainSerializer]], required=False, default_factory=list, description="Cover images. Please use an image smaller than 500KB and an aspect ratio width to height of 2:1.\\nThe supported image formats are: ('.gif', '.jpeg', '.jpg', '.png', '.svg')", examples=['cover.png']), 'id_emoji': FieldInfo(annotation=Union[Annotated[str, Len], NoneType], required=False), 'authors': FieldInfo(annotation=List[Author], required=False, default_factory=list), 'attachments': FieldInfo(annotation=Union[AttachmentsDescr, NoneType], required=False), 'cite': FieldInfo(annotation=List[CiteEntry], required=False, default_factory=list), 'config': FieldInfo(annotation=Dict[str, YamlValue], required=False, default_factory=dict, examples=[{'bioimageio': {'my_custom_key': 3837283, 'another_key': {'nested': 'value'}}, 'imagej': {'macro_dir': 'path/to/macro/file'}}]), 'download_url': FieldInfo(annotation=Union[HttpUrl, NoneType], required=False), 'git_repo': FieldInfo(annotation=Union[str, NoneType], required=False, examples=['https://github.com/bioimage-io/spec-bioimage-io/tree/main/example_descriptions/models/unet2d_nuclei_broad']), 'icon': FieldInfo(annotation=Union[Annotated[Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator, PlainSerializer], Annotated[str, Len], NoneType], required=False), 'links': FieldInfo(annotation=List[str], required=False, default_factory=list, examples=[('ilastik/ilastik', 'deepimagej/deepimagej', 'zero/notebook_u-net_3d_zerocostdl4mic')]), 'uploader': FieldInfo(annotation=Union[Uploader, NoneType], required=False), 'maintainers': FieldInfo(annotation=List[Maintainer], required=False, default_factory=list), 'rdf_source': FieldInfo(annotation=Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)], NoneType], required=False), 'tags': FieldInfo(annotation=List[str], required=False, default_factory=list, examples=[('unet2d', 'pytorch', 'nucleus', 'segmentation', 'dsb2018')]), 'version': FieldInfo(annotation=Union[Version, NoneType], required=False), 'version_number': FieldInfo(annotation=Union[int, NoneType], required=False), 'format_version': FieldInfo(annotation=Literal['0.2.4'], required=False, default='0.2.4'), 'badges': FieldInfo(annotation=List[BadgeDescr], required=False, default_factory=list), 'documentation': FieldInfo(annotation=Union[Annotated[Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator, PlainSerializer], NoneType], required=False, examples=['https://raw.githubusercontent.com/bioimage-io/spec-bioimage-io/main/example_descriptions/models/unet2d_nuclei_broad/README.md', 'README.md']), 'license': FieldInfo(annotation=Union[LicenseId, DeprecatedLicenseId, str, NoneType], required=False, examples=['CC-BY-4.0', 'MIT', 'BSD-2-Clause'])}"}, "bioimageio.spec.generic.v0_2.GenericDescrBase.model_computed_fields": {"fullname": "bioimageio.spec.generic.v0_2.GenericDescrBase.model_computed_fields", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericDescrBase.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.generic.v0_2.GenericDescr": {"fullname": "bioimageio.spec.generic.v0_2.GenericDescr", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericDescr", "kind": "class", "doc": "

Specification of the fields used in a generic bioimage.io-compliant resource description file (RDF).

\n\n

An RDF is a YAML file that describes a resource such as a model, a dataset, or a notebook.\nNote that those resources are described with a type-specific RDF.\nUse this generic resource description, if none of the known specific types matches your resource.

\n", "bases": "GenericDescrBase"}, "bioimageio.spec.generic.v0_2.GenericDescr.type": {"fullname": "bioimageio.spec.generic.v0_2.GenericDescr.type", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericDescr.type", "kind": "variable", "doc": "

The resource type assigns a broad category to the resource.

\n", "annotation": ": Annotated[str, Annotated[~_StrType, Predicate(func=<method 'islower' of 'str' objects>)], FieldInfo(annotation=NoneType, required=True, frozen=True)]"}, "bioimageio.spec.generic.v0_2.GenericDescr.id": {"fullname": "bioimageio.spec.generic.v0_2.GenericDescr.id", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericDescr.id", "kind": "variable", "doc": "

Model zoo (bioimage.io) wide, unique identifier (assigned by bioimage.io)

\n", "annotation": ": Optional[bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]]]"}, "bioimageio.spec.generic.v0_2.GenericDescr.source": {"fullname": "bioimageio.spec.generic.v0_2.GenericDescr.source", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericDescr.source", "kind": "variable", "doc": "

The primary source of the resource

\n", "annotation": ": Optional[bioimageio.spec._internal.url.HttpUrl]"}, "bioimageio.spec.generic.v0_2.GenericDescr.check_specific_types": {"fullname": "bioimageio.spec.generic.v0_2.GenericDescr.check_specific_types", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericDescr.check_specific_types", "kind": "function", "doc": "

\n", "signature": "(cls, value: str) -> str:", "funcdef": "def"}, "bioimageio.spec.generic.v0_2.GenericDescr.implemented_format_version": {"fullname": "bioimageio.spec.generic.v0_2.GenericDescr.implemented_format_version", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericDescr.implemented_format_version", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[str]", "default_value": "'0.2.4'"}, "bioimageio.spec.generic.v0_2.GenericDescr.implemented_format_version_tuple": {"fullname": "bioimageio.spec.generic.v0_2.GenericDescr.implemented_format_version_tuple", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericDescr.implemented_format_version_tuple", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[Tuple[int, int, int]]", "default_value": "(0, 2, 4)"}, "bioimageio.spec.generic.v0_2.GenericDescr.model_config": {"fullname": "bioimageio.spec.generic.v0_2.GenericDescr.model_config", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'ignore', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True, 'title': 'bioimage.io generic specification'}"}, "bioimageio.spec.generic.v0_2.GenericDescr.model_fields": {"fullname": "bioimageio.spec.generic.v0_2.GenericDescr.model_fields", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'name': FieldInfo(annotation=str, required=True, metadata=[MinLen(min_length=1), AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=30, msg='Longer than 128 characters.', context={'typ': typing.Annotated[typing.Any, MaxLen(max_length=128)]})]), 'description': FieldInfo(annotation=str, required=True), 'covers': FieldInfo(annotation=List[Annotated[Union[HttpUrl, Annotated[Path, PathType, Predicate], RelativeFilePath], WithSuffix, PlainSerializer]], required=False, default_factory=list, description="Cover images. Please use an image smaller than 500KB and an aspect ratio width to height of 2:1.\\nThe supported image formats are: ('.gif', '.jpeg', '.jpg', '.png', '.svg')", examples=['cover.png']), 'id_emoji': FieldInfo(annotation=Union[Annotated[str, Len], NoneType], required=False), 'authors': FieldInfo(annotation=List[Author], required=False, default_factory=list), 'attachments': FieldInfo(annotation=Union[AttachmentsDescr, NoneType], required=False), 'cite': FieldInfo(annotation=List[CiteEntry], required=False, default_factory=list), 'config': FieldInfo(annotation=Dict[str, YamlValue], required=False, default_factory=dict, examples=[{'bioimageio': {'my_custom_key': 3837283, 'another_key': {'nested': 'value'}}, 'imagej': {'macro_dir': 'path/to/macro/file'}}]), 'download_url': FieldInfo(annotation=Union[HttpUrl, NoneType], required=False), 'git_repo': FieldInfo(annotation=Union[str, NoneType], required=False, examples=['https://github.com/bioimage-io/spec-bioimage-io/tree/main/example_descriptions/models/unet2d_nuclei_broad']), 'icon': FieldInfo(annotation=Union[Annotated[Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator, PlainSerializer], Annotated[str, Len], NoneType], required=False), 'links': FieldInfo(annotation=List[str], required=False, default_factory=list, examples=[('ilastik/ilastik', 'deepimagej/deepimagej', 'zero/notebook_u-net_3d_zerocostdl4mic')]), 'uploader': FieldInfo(annotation=Union[Uploader, NoneType], required=False), 'maintainers': FieldInfo(annotation=List[Maintainer], required=False, default_factory=list), 'rdf_source': FieldInfo(annotation=Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)], NoneType], required=False), 'tags': FieldInfo(annotation=List[str], required=False, default_factory=list, examples=[('unet2d', 'pytorch', 'nucleus', 'segmentation', 'dsb2018')]), 'version': FieldInfo(annotation=Union[Version, NoneType], required=False), 'version_number': FieldInfo(annotation=Union[int, NoneType], required=False), 'format_version': FieldInfo(annotation=Literal['0.2.4'], required=False, default='0.2.4'), 'badges': FieldInfo(annotation=List[BadgeDescr], required=False, default_factory=list), 'documentation': FieldInfo(annotation=Union[Annotated[Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator, PlainSerializer], NoneType], required=False, examples=['https://raw.githubusercontent.com/bioimage-io/spec-bioimage-io/main/example_descriptions/models/unet2d_nuclei_broad/README.md', 'README.md']), 'license': FieldInfo(annotation=Union[LicenseId, DeprecatedLicenseId, str, NoneType], required=False, examples=['CC-BY-4.0', 'MIT', 'BSD-2-Clause']), 'type': FieldInfo(annotation=str, required=False, default='generic', frozen=True, metadata=[typing.Annotated[~_StrType, Predicate(func=<method 'islower' of 'str' objects>)]]), 'id': FieldInfo(annotation=Union[ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]], NoneType], required=False), 'source': FieldInfo(annotation=Union[HttpUrl, NoneType], required=False)}"}, "bioimageio.spec.generic.v0_2.GenericDescr.model_computed_fields": {"fullname": "bioimageio.spec.generic.v0_2.GenericDescr.model_computed_fields", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.generic.v0_3": {"fullname": "bioimageio.spec.generic.v0_3", "modulename": "bioimageio.spec.generic.v0_3", "kind": "module", "doc": "

\n"}, "bioimageio.spec.generic.v0_3.KNOWN_SPECIFIC_RESOURCE_TYPES": {"fullname": "bioimageio.spec.generic.v0_3.KNOWN_SPECIFIC_RESOURCE_TYPES", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "KNOWN_SPECIFIC_RESOURCE_TYPES", "kind": "variable", "doc": "

\n", "default_value": "('application', 'collection', 'dataset', 'model', 'notebook')"}, "bioimageio.spec.generic.v0_3.DocumentationSource": {"fullname": "bioimageio.spec.generic.v0_3.DocumentationSource", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "DocumentationSource", "kind": "variable", "doc": "

\n", "default_value": "typing.Annotated[typing.Union[typing.Annotated[pathlib.Path, PathType(path_type='file'), Predicate(func=<function PurePath.is_absolute>)], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl], AfterValidator(func=<function _validate_md_suffix>), PlainSerializer(func=<function _package>, return_type=PydanticUndefined, when_used='unless-none')]"}, "bioimageio.spec.generic.v0_3.Author": {"fullname": "bioimageio.spec.generic.v0_3.Author", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "Author", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "bioimageio.spec.generic.v0_2.Author"}, "bioimageio.spec.generic.v0_3.Author.name": {"fullname": "bioimageio.spec.generic.v0_3.Author.name", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "Author.name", "kind": "variable", "doc": "

\n", "annotation": ": Annotated[str, Predicate(func=<function _has_no_slash at 0x7f46aa9ece00>)]"}, "bioimageio.spec.generic.v0_3.Author.github_user": {"fullname": "bioimageio.spec.generic.v0_3.Author.github_user", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "Author.github_user", "kind": "variable", "doc": "

\n", "annotation": ": Optional[str]"}, "bioimageio.spec.generic.v0_3.Author.model_config": {"fullname": "bioimageio.spec.generic.v0_3.Author.model_config", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "Author.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.generic.v0_3.Author.model_fields": {"fullname": "bioimageio.spec.generic.v0_3.Author.model_fields", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "Author.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'affiliation': FieldInfo(annotation=Union[str, NoneType], required=False), 'email': FieldInfo(annotation=Union[EmailStr, NoneType], required=False), 'orcid': FieldInfo(annotation=Union[ValidatedString[Annotated[str, AfterValidator]], NoneType], required=False, examples=['0000-0001-2345-6789']), 'name': FieldInfo(annotation=str, required=True, metadata=[Predicate(func=<function _has_no_slash>)]), 'github_user': FieldInfo(annotation=Union[str, NoneType], required=False)}"}, "bioimageio.spec.generic.v0_3.Author.model_computed_fields": {"fullname": "bioimageio.spec.generic.v0_3.Author.model_computed_fields", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "Author.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.generic.v0_3.Maintainer": {"fullname": "bioimageio.spec.generic.v0_3.Maintainer", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "Maintainer", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "bioimageio.spec.generic.v0_2.Maintainer"}, "bioimageio.spec.generic.v0_3.Maintainer.name": {"fullname": "bioimageio.spec.generic.v0_3.Maintainer.name", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "Maintainer.name", "kind": "variable", "doc": "

\n", "annotation": ": Optional[Annotated[str, Predicate(func=<function _has_no_slash at 0x7f46aa9ece00>)]]"}, "bioimageio.spec.generic.v0_3.Maintainer.github_user": {"fullname": "bioimageio.spec.generic.v0_3.Maintainer.github_user", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "Maintainer.github_user", "kind": "variable", "doc": "

\n", "annotation": ": str"}, "bioimageio.spec.generic.v0_3.Maintainer.validate_gh_user": {"fullname": "bioimageio.spec.generic.v0_3.Maintainer.validate_gh_user", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "Maintainer.validate_gh_user", "kind": "function", "doc": "

\n", "signature": "(cls, value: str):", "funcdef": "def"}, "bioimageio.spec.generic.v0_3.Maintainer.model_config": {"fullname": "bioimageio.spec.generic.v0_3.Maintainer.model_config", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "Maintainer.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.generic.v0_3.Maintainer.model_fields": {"fullname": "bioimageio.spec.generic.v0_3.Maintainer.model_fields", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "Maintainer.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'affiliation': FieldInfo(annotation=Union[str, NoneType], required=False), 'email': FieldInfo(annotation=Union[EmailStr, NoneType], required=False), 'orcid': FieldInfo(annotation=Union[ValidatedString[Annotated[str, AfterValidator]], NoneType], required=False, examples=['0000-0001-2345-6789']), 'name': FieldInfo(annotation=Union[Annotated[str, Predicate], NoneType], required=False), 'github_user': FieldInfo(annotation=str, required=True)}"}, "bioimageio.spec.generic.v0_3.Maintainer.model_computed_fields": {"fullname": "bioimageio.spec.generic.v0_3.Maintainer.model_computed_fields", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "Maintainer.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.generic.v0_3.CiteEntry": {"fullname": "bioimageio.spec.generic.v0_3.CiteEntry", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "CiteEntry", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "bioimageio.spec._internal.node.Node"}, "bioimageio.spec.generic.v0_3.CiteEntry.text": {"fullname": "bioimageio.spec.generic.v0_3.CiteEntry.text", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "CiteEntry.text", "kind": "variable", "doc": "

free text description

\n", "annotation": ": str"}, "bioimageio.spec.generic.v0_3.CiteEntry.doi": {"fullname": "bioimageio.spec.generic.v0_3.CiteEntry.doi", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "CiteEntry.doi", "kind": "variable", "doc": "

A digital object identifier (DOI) is the prefered citation reference.\nSee https://www.doi.org/ for details. (alternatively specify url)

\n", "annotation": ": Optional[bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, StringConstraints]]]"}, "bioimageio.spec.generic.v0_3.CiteEntry.url": {"fullname": "bioimageio.spec.generic.v0_3.CiteEntry.url", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "CiteEntry.url", "kind": "variable", "doc": "

URL to cite (preferably specify a doi instead)

\n", "annotation": ": Optional[bioimageio.spec._internal.url.HttpUrl]"}, "bioimageio.spec.generic.v0_3.CiteEntry.model_config": {"fullname": "bioimageio.spec.generic.v0_3.CiteEntry.model_config", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "CiteEntry.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.generic.v0_3.CiteEntry.model_fields": {"fullname": "bioimageio.spec.generic.v0_3.CiteEntry.model_fields", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "CiteEntry.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'text': FieldInfo(annotation=str, required=True), 'doi': FieldInfo(annotation=Union[ValidatedString[Annotated[str, StringConstraints]], NoneType], required=False), 'url': FieldInfo(annotation=Union[HttpUrl, NoneType], required=False)}"}, "bioimageio.spec.generic.v0_3.CiteEntry.model_computed_fields": {"fullname": "bioimageio.spec.generic.v0_3.CiteEntry.model_computed_fields", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "CiteEntry.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.generic.v0_3.LinkedResource": {"fullname": "bioimageio.spec.generic.v0_3.LinkedResource", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "LinkedResource", "kind": "class", "doc": "

Reference to a bioimage.io resource

\n", "bases": "bioimageio.spec._internal.node.Node"}, "bioimageio.spec.generic.v0_3.LinkedResource.id": {"fullname": "bioimageio.spec.generic.v0_3.LinkedResource.id", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "LinkedResource.id", "kind": "variable", "doc": "

A valid resource id from the official bioimage.io collection.

\n", "annotation": ": bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]]"}, "bioimageio.spec.generic.v0_3.LinkedResource.version_number": {"fullname": "bioimageio.spec.generic.v0_3.LinkedResource.version_number", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "LinkedResource.version_number", "kind": "variable", "doc": "

version number (n-th published version, not the semantic version) of linked resource

\n", "annotation": ": int"}, "bioimageio.spec.generic.v0_3.LinkedResource.model_config": {"fullname": "bioimageio.spec.generic.v0_3.LinkedResource.model_config", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "LinkedResource.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.generic.v0_3.LinkedResource.model_fields": {"fullname": "bioimageio.spec.generic.v0_3.LinkedResource.model_fields", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "LinkedResource.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'id': FieldInfo(annotation=ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]], required=True), 'version_number': FieldInfo(annotation=int, required=True)}"}, "bioimageio.spec.generic.v0_3.LinkedResource.model_computed_fields": {"fullname": "bioimageio.spec.generic.v0_3.LinkedResource.model_computed_fields", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "LinkedResource.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.generic.v0_3.GenericModelDescrBase": {"fullname": "bioimageio.spec.generic.v0_3.GenericModelDescrBase", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "GenericModelDescrBase", "kind": "class", "doc": "

Base for all resource descriptions including of model descriptions

\n", "bases": "bioimageio.spec._internal.common_nodes.ResourceDescrBase"}, "bioimageio.spec.generic.v0_3.GenericModelDescrBase.name": {"fullname": "bioimageio.spec.generic.v0_3.GenericModelDescrBase.name", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "GenericModelDescrBase.name", "kind": "variable", "doc": "

A human-friendly name of the resource description.\nMay only contains letters, digits, underscore, minus, parentheses and spaces.

\n", "annotation": ": Annotated[str, MinLen(min_length=1), MaxLen(max_length=128)]"}, "bioimageio.spec.generic.v0_3.GenericModelDescrBase.description": {"fullname": "bioimageio.spec.generic.v0_3.GenericModelDescrBase.description", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "GenericModelDescrBase.description", "kind": "variable", "doc": "

A string containing a brief description.

\n", "annotation": ": Annotated[str, MaxLen(max_length=1024), AfterWarner(func=<function as_warning.<locals>.wrapper at 0x7f46ac79ef20>, severity=30, msg='Description longer than 512 characters.', context={'typ': Annotated[Any, MaxLen(max_length=512)]})]"}, "bioimageio.spec.generic.v0_3.GenericModelDescrBase.covers": {"fullname": "bioimageio.spec.generic.v0_3.GenericModelDescrBase.covers", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "GenericModelDescrBase.covers", "kind": "variable", "doc": "

\u2208\ud83d\udce6 Cover images.

\n", "annotation": ": Annotated[List[Annotated[Union[bioimageio.spec._internal.url.HttpUrl, Annotated[pathlib.Path, PathType(path_type='file'), Predicate(func=<function PurePath.is_absolute at 0x7f46ae045940>)], bioimageio.spec._internal.io.RelativeFilePath], WithSuffix(suffix=('.gif', '.jpeg', '.jpg', '.png', '.svg'), case_sensitive=False), PlainSerializer(func=<function _package at 0x7f46aaa998a0>, return_type=PydanticUndefined, when_used='unless-none')]], FieldInfo(annotation=NoneType, required=True, description="Cover images. Please use an image smaller than 500KB and an aspect ratio width to height of 2:1 or 1:1.\\nThe supported image formats are: ('.gif', '.jpeg', '.jpg', '.png', '.svg')", examples=[])]"}, "bioimageio.spec.generic.v0_3.GenericModelDescrBase.id_emoji": {"fullname": "bioimageio.spec.generic.v0_3.GenericModelDescrBase.id_emoji", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "GenericModelDescrBase.id_emoji", "kind": "variable", "doc": "

UTF-8 emoji for display alongside the id.

\n", "annotation": ": Optional[Annotated[str, Len(min_length=1, max_length=1)]]"}, "bioimageio.spec.generic.v0_3.GenericModelDescrBase.authors": {"fullname": "bioimageio.spec.generic.v0_3.GenericModelDescrBase.authors", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "GenericModelDescrBase.authors", "kind": "variable", "doc": "

The authors are the creators of this resource description and the primary points of contact.

\n", "annotation": ": Annotated[List[bioimageio.spec.generic.v0_3.Author], MinLen(min_length=1)]"}, "bioimageio.spec.generic.v0_3.GenericModelDescrBase.attachments": {"fullname": "bioimageio.spec.generic.v0_3.GenericModelDescrBase.attachments", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "GenericModelDescrBase.attachments", "kind": "variable", "doc": "

file attachments

\n", "annotation": ": List[bioimageio.spec._internal.io.FileDescr]"}, "bioimageio.spec.generic.v0_3.GenericModelDescrBase.cite": {"fullname": "bioimageio.spec.generic.v0_3.GenericModelDescrBase.cite", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "GenericModelDescrBase.cite", "kind": "variable", "doc": "

citations

\n", "annotation": ": Annotated[List[bioimageio.spec.generic.v0_3.CiteEntry], MinLen(min_length=1)]"}, "bioimageio.spec.generic.v0_3.GenericModelDescrBase.license": {"fullname": "bioimageio.spec.generic.v0_3.GenericModelDescrBase.license", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "GenericModelDescrBase.license", "kind": "variable", "doc": "

A SPDX license identifier.\nWe do not support custom license beyond the SPDX license list, if you need that please\nopen a GitHub issue\nto discuss your intentions with the community.

\n", "annotation": ": Annotated[Union[bioimageio.spec._internal.license_id.LicenseId, bioimageio.spec._internal.license_id.DeprecatedLicenseId], AfterWarner(func=<function as_warning.<locals>.wrapper at 0x7f469d1e4680>, severity=30, msg='{value} is deprecated, see https://spdx.org/licenses/{value}.html', context={'typ': <class 'bioimageio.spec._internal.license_id.LicenseId'>}), FieldInfo(annotation=NoneType, required=True, examples=['CC-BY-4.0', 'MIT', 'BSD-2-Clause'])]"}, "bioimageio.spec.generic.v0_3.GenericModelDescrBase.config": {"fullname": "bioimageio.spec.generic.v0_3.GenericModelDescrBase.config", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "GenericModelDescrBase.config", "kind": "variable", "doc": "

A field for custom configuration that can contain any keys not present in the RDF spec.\nThis means you should not store, for example, a GitHub repo URL in config since there is a git_repo field.\nKeys in config may be very specific to a tool or consumer software. To avoid conflicting definitions,\nit is recommended to wrap added configuration into a sub-field named with the specific domain or tool name,\nfor example:

\n\n
\n
config:\n    bioimageio:  # here is the domain name\n        my_custom_key: 3837283\n        another_key:\n            nested: value\n    imagej:       # config specific to ImageJ\n        macro_dir: path/to/macro/file\n
\n
\n\n

If possible, please use snake_case for keys in config.\nYou may want to list linked files additionally under attachments to include them when packaging a resource.\n(Packaging a resource means downloading/copying important linked files and creating a ZIP archive that contains\nan altered rdf.yaml file with local references to the downloaded files.)

\n", "annotation": ": Annotated[Dict[str, YamlValue], FieldInfo(annotation=NoneType, required=True, examples=[{'bioimageio': {'my_custom_key': 3837283, 'another_key': {'nested': 'value'}}, 'imagej': {'macro_dir': 'path/to/macro/file'}}])]"}, "bioimageio.spec.generic.v0_3.GenericModelDescrBase.git_repo": {"fullname": "bioimageio.spec.generic.v0_3.GenericModelDescrBase.git_repo", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "GenericModelDescrBase.git_repo", "kind": "variable", "doc": "

A URL to the Git repository where the resource is being developed.

\n", "annotation": ": Annotated[Optional[bioimageio.spec._internal.url.HttpUrl], FieldInfo(annotation=NoneType, required=True, examples=['https://github.com/bioimage-io/spec-bioimage-io/tree/main/example_descriptions/models/unet2d_nuclei_broad'])]"}, "bioimageio.spec.generic.v0_3.GenericModelDescrBase.icon": {"fullname": "bioimageio.spec.generic.v0_3.GenericModelDescrBase.icon", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "GenericModelDescrBase.icon", "kind": "variable", "doc": "

An icon for illustration, e.g. on bioimage.io

\n", "annotation": ": Union[Annotated[Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator(func=<function wo_special_file_name at 0x7f46aaa98680>), PlainSerializer(func=<function _package at 0x7f46aaa998a0>, return_type=PydanticUndefined, when_used='unless-none')], Annotated[str, Len(min_length=1, max_length=2)], NoneType]"}, "bioimageio.spec.generic.v0_3.GenericModelDescrBase.links": {"fullname": "bioimageio.spec.generic.v0_3.GenericModelDescrBase.links", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "GenericModelDescrBase.links", "kind": "variable", "doc": "

IDs of other bioimage.io resources

\n", "annotation": ": Annotated[List[str], FieldInfo(annotation=NoneType, required=True, examples=[('ilastik/ilastik', 'deepimagej/deepimagej', 'zero/notebook_u-net_3d_zerocostdl4mic')])]"}, "bioimageio.spec.generic.v0_3.GenericModelDescrBase.uploader": {"fullname": "bioimageio.spec.generic.v0_3.GenericModelDescrBase.uploader", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "GenericModelDescrBase.uploader", "kind": "variable", "doc": "

The person who uploaded the model (e.g. to bioimage.io)

\n", "annotation": ": Optional[bioimageio.spec.generic.v0_2.Uploader]"}, "bioimageio.spec.generic.v0_3.GenericModelDescrBase.maintainers": {"fullname": "bioimageio.spec.generic.v0_3.GenericModelDescrBase.maintainers", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "GenericModelDescrBase.maintainers", "kind": "variable", "doc": "

Maintainers of this resource.\nIf not specified, authors are maintainers and at least some of them has to specify their github_user name

\n", "annotation": ": List[bioimageio.spec.generic.v0_3.Maintainer]"}, "bioimageio.spec.generic.v0_3.GenericModelDescrBase.check_maintainers_exist": {"fullname": "bioimageio.spec.generic.v0_3.GenericModelDescrBase.check_maintainers_exist", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "GenericModelDescrBase.check_maintainers_exist", "kind": "function", "doc": "

\n", "signature": "(value: Any, info: pydantic_core.core_schema.ValidationInfo) -> Any:", "funcdef": "def"}, "bioimageio.spec.generic.v0_3.GenericModelDescrBase.tags": {"fullname": "bioimageio.spec.generic.v0_3.GenericModelDescrBase.tags", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "GenericModelDescrBase.tags", "kind": "variable", "doc": "

Associated tags

\n", "annotation": ": Annotated[List[str], FieldInfo(annotation=NoneType, required=True, examples=[('unet2d', 'pytorch', 'nucleus', 'segmentation', 'dsb2018')])]"}, "bioimageio.spec.generic.v0_3.GenericModelDescrBase.warn_about_tag_categories": {"fullname": "bioimageio.spec.generic.v0_3.GenericModelDescrBase.warn_about_tag_categories", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "GenericModelDescrBase.warn_about_tag_categories", "kind": "function", "doc": "

\n", "signature": "(value: Any, info: pydantic_core.core_schema.ValidationInfo) -> Any:", "funcdef": "def"}, "bioimageio.spec.generic.v0_3.GenericModelDescrBase.version": {"fullname": "bioimageio.spec.generic.v0_3.GenericModelDescrBase.version", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "GenericModelDescrBase.version", "kind": "variable", "doc": "

The version of the resource following SemVer 2.0.

\n", "annotation": ": Optional[bioimageio.spec._internal.version_type.Version]"}, "bioimageio.spec.generic.v0_3.GenericModelDescrBase.version_number": {"fullname": "bioimageio.spec.generic.v0_3.GenericModelDescrBase.version_number", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "GenericModelDescrBase.version_number", "kind": "variable", "doc": "

version number (n-th published version, not the semantic version)

\n", "annotation": ": Optional[int]"}, "bioimageio.spec.generic.v0_3.GenericModelDescrBase.model_config": {"fullname": "bioimageio.spec.generic.v0_3.GenericModelDescrBase.model_config", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "GenericModelDescrBase.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.generic.v0_3.GenericModelDescrBase.model_fields": {"fullname": "bioimageio.spec.generic.v0_3.GenericModelDescrBase.model_fields", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "GenericModelDescrBase.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'name': FieldInfo(annotation=str, required=True, metadata=[MinLen(min_length=1), MaxLen(max_length=128)]), 'description': FieldInfo(annotation=str, required=True, metadata=[MaxLen(max_length=1024), AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=30, msg='Description longer than 512 characters.', context={'typ': typing.Annotated[typing.Any, MaxLen(max_length=512)]})]), 'covers': FieldInfo(annotation=List[Annotated[Union[HttpUrl, Annotated[Path, PathType, Predicate], RelativeFilePath], WithSuffix, PlainSerializer]], required=False, default_factory=list, description="Cover images. Please use an image smaller than 500KB and an aspect ratio width to height of 2:1 or 1:1.\\nThe supported image formats are: ('.gif', '.jpeg', '.jpg', '.png', '.svg')", examples=[]), 'id_emoji': FieldInfo(annotation=Union[Annotated[str, Len], NoneType], required=False), 'authors': FieldInfo(annotation=List[Author], required=True, metadata=[MinLen(min_length=1)]), 'attachments': FieldInfo(annotation=List[FileDescr], required=False, default_factory=list), 'cite': FieldInfo(annotation=List[CiteEntry], required=True, metadata=[MinLen(min_length=1)]), 'license': FieldInfo(annotation=Union[LicenseId, DeprecatedLicenseId], required=True, examples=['CC-BY-4.0', 'MIT', 'BSD-2-Clause'], metadata=[AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=30, msg='{value} is deprecated, see https://spdx.org/licenses/{value}.html', context={'typ': <class 'bioimageio.spec._internal.license_id.LicenseId'>})]), 'config': FieldInfo(annotation=Dict[str, YamlValue], required=False, default_factory=dict, examples=[{'bioimageio': {'my_custom_key': 3837283, 'another_key': {'nested': 'value'}}, 'imagej': {'macro_dir': 'path/to/macro/file'}}]), 'git_repo': FieldInfo(annotation=Union[HttpUrl, NoneType], required=False, examples=['https://github.com/bioimage-io/spec-bioimage-io/tree/main/example_descriptions/models/unet2d_nuclei_broad']), 'icon': FieldInfo(annotation=Union[Annotated[Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator, PlainSerializer], Annotated[str, Len], NoneType], required=False), 'links': FieldInfo(annotation=List[str], required=False, default_factory=list, examples=[('ilastik/ilastik', 'deepimagej/deepimagej', 'zero/notebook_u-net_3d_zerocostdl4mic')]), 'uploader': FieldInfo(annotation=Union[Uploader, NoneType], required=False), 'maintainers': FieldInfo(annotation=List[Maintainer], required=False, default_factory=list), 'tags': FieldInfo(annotation=List[str], required=False, default_factory=list, examples=[('unet2d', 'pytorch', 'nucleus', 'segmentation', 'dsb2018')]), 'version': FieldInfo(annotation=Union[Version, NoneType], required=False), 'version_number': FieldInfo(annotation=Union[int, NoneType], required=False)}"}, "bioimageio.spec.generic.v0_3.GenericModelDescrBase.model_computed_fields": {"fullname": "bioimageio.spec.generic.v0_3.GenericModelDescrBase.model_computed_fields", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "GenericModelDescrBase.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.generic.v0_3.GenericDescrBase": {"fullname": "bioimageio.spec.generic.v0_3.GenericDescrBase", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "GenericDescrBase", "kind": "class", "doc": "

Base for all resource descriptions except for the model descriptions

\n", "bases": "GenericModelDescrBase"}, "bioimageio.spec.generic.v0_3.GenericDescrBase.format_version": {"fullname": "bioimageio.spec.generic.v0_3.GenericDescrBase.format_version", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "GenericDescrBase.format_version", "kind": "variable", "doc": "

The format version of this resource specification

\n", "annotation": ": Literal['0.3.0']"}, "bioimageio.spec.generic.v0_3.GenericDescrBase.documentation": {"fullname": "bioimageio.spec.generic.v0_3.GenericDescrBase.documentation", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "GenericDescrBase.documentation", "kind": "variable", "doc": "

\u2208\ud83d\udce6 URL or relative path to a markdown file with additional documentation.\nThe recommended documentation file name is README.md. An .md suffix is mandatory.

\n", "annotation": ": Annotated[Optional[Annotated[Union[Annotated[pathlib.Path, PathType(path_type='file'), Predicate(func=<function PurePath.is_absolute at 0x7f46ae045940>)], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl], AfterValidator(func=<function _validate_md_suffix at 0x7f46aab5ade0>), PlainSerializer(func=<function _package at 0x7f46aaa998a0>, return_type=PydanticUndefined, when_used='unless-none')]], FieldInfo(annotation=NoneType, required=True, examples=['https://raw.githubusercontent.com/bioimage-io/spec-bioimage-io/main/example_descriptions/models/unet2d_nuclei_broad/README.md', 'README.md'])]"}, "bioimageio.spec.generic.v0_3.GenericDescrBase.badges": {"fullname": "bioimageio.spec.generic.v0_3.GenericDescrBase.badges", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "GenericDescrBase.badges", "kind": "variable", "doc": "

badges associated with this resource

\n", "annotation": ": List[bioimageio.spec.generic.v0_2.BadgeDescr]"}, "bioimageio.spec.generic.v0_3.GenericDescrBase.implemented_format_version": {"fullname": "bioimageio.spec.generic.v0_3.GenericDescrBase.implemented_format_version", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "GenericDescrBase.implemented_format_version", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[str]", "default_value": "'0.3.0'"}, "bioimageio.spec.generic.v0_3.GenericDescrBase.implemented_format_version_tuple": {"fullname": "bioimageio.spec.generic.v0_3.GenericDescrBase.implemented_format_version_tuple", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "GenericDescrBase.implemented_format_version_tuple", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[Tuple[int, int, int]]", "default_value": "(0, 3, 0)"}, "bioimageio.spec.generic.v0_3.GenericDescrBase.model_config": {"fullname": "bioimageio.spec.generic.v0_3.GenericDescrBase.model_config", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "GenericDescrBase.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.generic.v0_3.GenericDescrBase.model_fields": {"fullname": "bioimageio.spec.generic.v0_3.GenericDescrBase.model_fields", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "GenericDescrBase.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'name': FieldInfo(annotation=str, required=True, metadata=[MinLen(min_length=1), MaxLen(max_length=128)]), 'description': FieldInfo(annotation=str, required=True, metadata=[MaxLen(max_length=1024), AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=30, msg='Description longer than 512 characters.', context={'typ': typing.Annotated[typing.Any, MaxLen(max_length=512)]})]), 'covers': FieldInfo(annotation=List[Annotated[Union[HttpUrl, Annotated[Path, PathType, Predicate], RelativeFilePath], WithSuffix, PlainSerializer]], required=False, default_factory=list, description="Cover images. Please use an image smaller than 500KB and an aspect ratio width to height of 2:1 or 1:1.\\nThe supported image formats are: ('.gif', '.jpeg', '.jpg', '.png', '.svg')", examples=[]), 'id_emoji': FieldInfo(annotation=Union[Annotated[str, Len], NoneType], required=False), 'authors': FieldInfo(annotation=List[Author], required=True, metadata=[MinLen(min_length=1)]), 'attachments': FieldInfo(annotation=List[FileDescr], required=False, default_factory=list), 'cite': FieldInfo(annotation=List[CiteEntry], required=True, metadata=[MinLen(min_length=1)]), 'license': FieldInfo(annotation=Union[LicenseId, DeprecatedLicenseId], required=True, examples=['CC-BY-4.0', 'MIT', 'BSD-2-Clause'], metadata=[AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=30, msg='{value} is deprecated, see https://spdx.org/licenses/{value}.html', context={'typ': <class 'bioimageio.spec._internal.license_id.LicenseId'>})]), 'config': FieldInfo(annotation=Dict[str, YamlValue], required=False, default_factory=dict, examples=[{'bioimageio': {'my_custom_key': 3837283, 'another_key': {'nested': 'value'}}, 'imagej': {'macro_dir': 'path/to/macro/file'}}]), 'git_repo': FieldInfo(annotation=Union[HttpUrl, NoneType], required=False, examples=['https://github.com/bioimage-io/spec-bioimage-io/tree/main/example_descriptions/models/unet2d_nuclei_broad']), 'icon': FieldInfo(annotation=Union[Annotated[Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator, PlainSerializer], Annotated[str, Len], NoneType], required=False), 'links': FieldInfo(annotation=List[str], required=False, default_factory=list, examples=[('ilastik/ilastik', 'deepimagej/deepimagej', 'zero/notebook_u-net_3d_zerocostdl4mic')]), 'uploader': FieldInfo(annotation=Union[Uploader, NoneType], required=False), 'maintainers': FieldInfo(annotation=List[Maintainer], required=False, default_factory=list), 'tags': FieldInfo(annotation=List[str], required=False, default_factory=list, examples=[('unet2d', 'pytorch', 'nucleus', 'segmentation', 'dsb2018')]), 'version': FieldInfo(annotation=Union[Version, NoneType], required=False), 'version_number': FieldInfo(annotation=Union[int, NoneType], required=False), 'format_version': FieldInfo(annotation=Literal['0.3.0'], required=False, default='0.3.0'), 'documentation': FieldInfo(annotation=Union[Annotated[Union[Annotated[Path, PathType, Predicate], RelativeFilePath, HttpUrl], AfterValidator, PlainSerializer], NoneType], required=False, examples=['https://raw.githubusercontent.com/bioimage-io/spec-bioimage-io/main/example_descriptions/models/unet2d_nuclei_broad/README.md', 'README.md']), 'badges': FieldInfo(annotation=List[BadgeDescr], required=False, default_factory=list)}"}, "bioimageio.spec.generic.v0_3.GenericDescrBase.model_computed_fields": {"fullname": "bioimageio.spec.generic.v0_3.GenericDescrBase.model_computed_fields", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "GenericDescrBase.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.generic.v0_3.GenericDescr": {"fullname": "bioimageio.spec.generic.v0_3.GenericDescr", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "GenericDescr", "kind": "class", "doc": "

Specification of the fields used in a generic bioimage.io-compliant resource description file (RDF).

\n\n

An RDF is a YAML file that describes a resource such as a model, a dataset, or a notebook.\nNote that those resources are described with a type-specific RDF.\nUse this generic resource description, if none of the known specific types matches your resource.

\n", "bases": "GenericDescrBase"}, "bioimageio.spec.generic.v0_3.GenericDescr.type": {"fullname": "bioimageio.spec.generic.v0_3.GenericDescr.type", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "GenericDescr.type", "kind": "variable", "doc": "

The resource type assigns a broad category to the resource.

\n", "annotation": ": Annotated[str, Annotated[~_StrType, Predicate(func=<method 'islower' of 'str' objects>)]]"}, "bioimageio.spec.generic.v0_3.GenericDescr.id": {"fullname": "bioimageio.spec.generic.v0_3.GenericDescr.id", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "GenericDescr.id", "kind": "variable", "doc": "

Model zoo (bioimage.io) wide, unique identifier (assigned by bioimage.io)

\n", "annotation": ": Optional[bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]]]"}, "bioimageio.spec.generic.v0_3.GenericDescr.parent": {"fullname": "bioimageio.spec.generic.v0_3.GenericDescr.parent", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "GenericDescr.parent", "kind": "variable", "doc": "

The description from which this one is derived

\n", "annotation": ": Optional[bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]]]"}, "bioimageio.spec.generic.v0_3.GenericDescr.source": {"fullname": "bioimageio.spec.generic.v0_3.GenericDescr.source", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "GenericDescr.source", "kind": "variable", "doc": "

The primary source of the resource

\n", "annotation": ": Optional[bioimageio.spec._internal.url.HttpUrl]"}, "bioimageio.spec.generic.v0_3.GenericDescr.check_specific_types": {"fullname": "bioimageio.spec.generic.v0_3.GenericDescr.check_specific_types", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "GenericDescr.check_specific_types", "kind": "function", "doc": "

\n", "signature": "(cls, value: str) -> str:", "funcdef": "def"}, "bioimageio.spec.generic.v0_3.GenericDescr.implemented_format_version": {"fullname": "bioimageio.spec.generic.v0_3.GenericDescr.implemented_format_version", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "GenericDescr.implemented_format_version", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[str]", "default_value": "'0.3.0'"}, "bioimageio.spec.generic.v0_3.GenericDescr.implemented_format_version_tuple": {"fullname": "bioimageio.spec.generic.v0_3.GenericDescr.implemented_format_version_tuple", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "GenericDescr.implemented_format_version_tuple", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[Tuple[int, int, int]]", "default_value": "(0, 3, 0)"}, "bioimageio.spec.generic.v0_3.GenericDescr.model_config": {"fullname": "bioimageio.spec.generic.v0_3.GenericDescr.model_config", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "GenericDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'ignore', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True, 'title': 'bioimage.io generic specification'}"}, "bioimageio.spec.generic.v0_3.GenericDescr.model_fields": {"fullname": "bioimageio.spec.generic.v0_3.GenericDescr.model_fields", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "GenericDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'name': FieldInfo(annotation=str, required=True, metadata=[MinLen(min_length=1), MaxLen(max_length=128)]), 'description': FieldInfo(annotation=str, required=True, metadata=[MaxLen(max_length=1024), AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=30, msg='Description longer than 512 characters.', context={'typ': typing.Annotated[typing.Any, MaxLen(max_length=512)]})]), 'covers': FieldInfo(annotation=List[Annotated[Union[HttpUrl, Annotated[Path, PathType, Predicate], RelativeFilePath], WithSuffix, PlainSerializer]], required=False, default_factory=list, description="Cover images. Please use an image smaller than 500KB and an aspect ratio width to height of 2:1 or 1:1.\\nThe supported image formats are: ('.gif', '.jpeg', '.jpg', '.png', '.svg')", examples=[]), 'id_emoji': FieldInfo(annotation=Union[Annotated[str, Len], NoneType], required=False), 'authors': FieldInfo(annotation=List[Author], required=True, metadata=[MinLen(min_length=1)]), 'attachments': FieldInfo(annotation=List[FileDescr], required=False, default_factory=list), 'cite': FieldInfo(annotation=List[CiteEntry], required=True, metadata=[MinLen(min_length=1)]), 'license': FieldInfo(annotation=Union[LicenseId, DeprecatedLicenseId], required=True, examples=['CC-BY-4.0', 'MIT', 'BSD-2-Clause'], metadata=[AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=30, msg='{value} is deprecated, see https://spdx.org/licenses/{value}.html', context={'typ': <class 'bioimageio.spec._internal.license_id.LicenseId'>})]), 'config': FieldInfo(annotation=Dict[str, YamlValue], required=False, default_factory=dict, examples=[{'bioimageio': {'my_custom_key': 3837283, 'another_key': {'nested': 'value'}}, 'imagej': {'macro_dir': 'path/to/macro/file'}}]), 'git_repo': FieldInfo(annotation=Union[HttpUrl, NoneType], required=False, examples=['https://github.com/bioimage-io/spec-bioimage-io/tree/main/example_descriptions/models/unet2d_nuclei_broad']), 'icon': FieldInfo(annotation=Union[Annotated[Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator, PlainSerializer], Annotated[str, Len], NoneType], required=False), 'links': FieldInfo(annotation=List[str], required=False, default_factory=list, examples=[('ilastik/ilastik', 'deepimagej/deepimagej', 'zero/notebook_u-net_3d_zerocostdl4mic')]), 'uploader': FieldInfo(annotation=Union[Uploader, NoneType], required=False), 'maintainers': FieldInfo(annotation=List[Maintainer], required=False, default_factory=list), 'tags': FieldInfo(annotation=List[str], required=False, default_factory=list, examples=[('unet2d', 'pytorch', 'nucleus', 'segmentation', 'dsb2018')]), 'version': FieldInfo(annotation=Union[Version, NoneType], required=False), 'version_number': FieldInfo(annotation=Union[int, NoneType], required=False), 'format_version': FieldInfo(annotation=Literal['0.3.0'], required=False, default='0.3.0'), 'documentation': FieldInfo(annotation=Union[Annotated[Union[Annotated[Path, PathType, Predicate], RelativeFilePath, HttpUrl], AfterValidator, PlainSerializer], NoneType], required=False, examples=['https://raw.githubusercontent.com/bioimage-io/spec-bioimage-io/main/example_descriptions/models/unet2d_nuclei_broad/README.md', 'README.md']), 'badges': FieldInfo(annotation=List[BadgeDescr], required=False, default_factory=list), 'type': FieldInfo(annotation=str, required=False, default='generic', frozen=True, metadata=[typing.Annotated[~_StrType, Predicate(func=<method 'islower' of 'str' objects>)]]), 'id': FieldInfo(annotation=Union[ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]], NoneType], required=False), 'parent': FieldInfo(annotation=Union[ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]], NoneType], required=False), 'source': FieldInfo(annotation=Union[HttpUrl, NoneType], required=False)}"}, "bioimageio.spec.generic.v0_3.GenericDescr.model_computed_fields": {"fullname": "bioimageio.spec.generic.v0_3.GenericDescr.model_computed_fields", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "GenericDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model": {"fullname": "bioimageio.spec.model", "modulename": "bioimageio.spec.model", "kind": "module", "doc": "

implementaions of all released minor versions are available in submodules:

\n\n\n"}, "bioimageio.spec.model.AnyModelDescr": {"fullname": "bioimageio.spec.model.AnyModelDescr", "modulename": "bioimageio.spec.model", "qualname": "AnyModelDescr", "kind": "variable", "doc": "

Union of any released model desription

\n", "default_value": "typing.Annotated[typing.Union[bioimageio.spec.model.v0_4.ModelDescr, bioimageio.spec.model.v0_5.ModelDescr], Discriminator(discriminator='format_version', custom_error_type=None, custom_error_message=None, custom_error_context=None)]"}, "bioimageio.spec.model.v0_4": {"fullname": "bioimageio.spec.model.v0_4", "modulename": "bioimageio.spec.model.v0_4", "kind": "module", "doc": "

\n"}, "bioimageio.spec.model.v0_4.AxesStr": {"fullname": "bioimageio.spec.model.v0_4.AxesStr", "modulename": "bioimageio.spec.model.v0_4", "qualname": "AxesStr", "kind": "variable", "doc": "

\n", "default_value": "typing.Annotated[str, RestrictCharacters(alphabet='bitczyx'), AfterValidator(func=<function validate_unique_entries>)]"}, "bioimageio.spec.model.v0_4.AxesInCZYX": {"fullname": "bioimageio.spec.model.v0_4.AxesInCZYX", "modulename": "bioimageio.spec.model.v0_4", "qualname": "AxesInCZYX", "kind": "variable", "doc": "

\n", "default_value": "typing.Annotated[str, RestrictCharacters(alphabet='czyx'), AfterValidator(func=<function validate_unique_entries>)]"}, "bioimageio.spec.model.v0_4.PostprocessingName": {"fullname": "bioimageio.spec.model.v0_4.PostprocessingName", "modulename": "bioimageio.spec.model.v0_4", "qualname": "PostprocessingName", "kind": "variable", "doc": "

\n", "default_value": "typing.Literal['binarize', 'clip', 'scale_linear', 'sigmoid', 'zero_mean_unit_variance', 'scale_range', 'scale_mean_variance']"}, "bioimageio.spec.model.v0_4.PreprocessingName": {"fullname": "bioimageio.spec.model.v0_4.PreprocessingName", "modulename": "bioimageio.spec.model.v0_4", "qualname": "PreprocessingName", "kind": "variable", "doc": "

\n", "default_value": "typing.Literal['binarize', 'clip', 'scale_linear', 'sigmoid', 'zero_mean_unit_variance', 'scale_range']"}, "bioimageio.spec.model.v0_4.TensorName": {"fullname": "bioimageio.spec.model.v0_4.TensorName", "modulename": "bioimageio.spec.model.v0_4", "qualname": "TensorName", "kind": "variable", "doc": "

\n", "default_value": "<class 'bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, AfterValidator, AfterValidator, Annotated[TypeVar, Predicate]]]'>"}, "bioimageio.spec.model.v0_4.CallableFromDepencency": {"fullname": "bioimageio.spec.model.v0_4.CallableFromDepencency", "modulename": "bioimageio.spec.model.v0_4", "qualname": "CallableFromDepencency", "kind": "class", "doc": "

deprecated! don't use for new spec fields!

\n", "bases": "bioimageio.spec._internal.common_nodes.StringNode"}, "bioimageio.spec.model.v0_4.CallableFromDepencency.module_name": {"fullname": "bioimageio.spec.model.v0_4.CallableFromDepencency.module_name", "modulename": "bioimageio.spec.model.v0_4", "qualname": "CallableFromDepencency.module_name", "kind": "variable", "doc": "

\n", "annotation": ": str"}, "bioimageio.spec.model.v0_4.CallableFromDepencency.check_submodules": {"fullname": "bioimageio.spec.model.v0_4.CallableFromDepencency.check_submodules", "modulename": "bioimageio.spec.model.v0_4", "qualname": "CallableFromDepencency.check_submodules", "kind": "function", "doc": "

\n", "signature": "(cls, module_name: str) -> str:", "funcdef": "def"}, "bioimageio.spec.model.v0_4.CallableFromDepencency.callable_name": {"fullname": "bioimageio.spec.model.v0_4.CallableFromDepencency.callable_name", "modulename": "bioimageio.spec.model.v0_4", "qualname": "CallableFromDepencency.callable_name", "kind": "variable", "doc": "

\n", "annotation": ": bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, AfterValidator, AfterValidator]]"}, "bioimageio.spec.model.v0_4.CallableFromFile": {"fullname": "bioimageio.spec.model.v0_4.CallableFromFile", "modulename": "bioimageio.spec.model.v0_4", "qualname": "CallableFromFile", "kind": "class", "doc": "

deprecated! don't use for new spec fields!

\n", "bases": "bioimageio.spec._internal.common_nodes.StringNode"}, "bioimageio.spec.model.v0_4.CallableFromFile.source_file": {"fullname": "bioimageio.spec.model.v0_4.CallableFromFile.source_file", "modulename": "bioimageio.spec.model.v0_4", "qualname": "CallableFromFile.source_file", "kind": "variable", "doc": "

\u2208\ud83d\udce6 Python module that implements callable_name

\n", "annotation": ": Annotated[Union[bioimageio.spec._internal.url.HttpUrl, bioimageio.spec._internal.io.RelativeFilePath], PlainSerializer(func=<function _package at 0x7f46aaa998a0>, return_type=PydanticUndefined, when_used='unless-none')]"}, "bioimageio.spec.model.v0_4.CallableFromFile.callable_name": {"fullname": "bioimageio.spec.model.v0_4.CallableFromFile.callable_name", "modulename": "bioimageio.spec.model.v0_4", "qualname": "CallableFromFile.callable_name", "kind": "variable", "doc": "

The Python identifier of

\n", "annotation": ": bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, AfterValidator, AfterValidator]]"}, "bioimageio.spec.model.v0_4.CustomCallable": {"fullname": "bioimageio.spec.model.v0_4.CustomCallable", "modulename": "bioimageio.spec.model.v0_4", "qualname": "CustomCallable", "kind": "variable", "doc": "

\n", "default_value": "typing.Union[bioimageio.spec.model.v0_4.CallableFromFile, bioimageio.spec.model.v0_4.CallableFromDepencency]"}, "bioimageio.spec.model.v0_4.Dependencies": {"fullname": "bioimageio.spec.model.v0_4.Dependencies", "modulename": "bioimageio.spec.model.v0_4", "qualname": "Dependencies", "kind": "class", "doc": "

deprecated! don't use for new spec fields!

\n", "bases": "bioimageio.spec._internal.common_nodes.StringNode"}, "bioimageio.spec.model.v0_4.Dependencies.manager": {"fullname": "bioimageio.spec.model.v0_4.Dependencies.manager", "modulename": "bioimageio.spec.model.v0_4", "qualname": "Dependencies.manager", "kind": "variable", "doc": "

Dependency manager

\n", "annotation": ": Annotated[str, MinLen(min_length=1), FieldInfo(annotation=NoneType, required=True, examples=['conda', 'maven', 'pip'])]"}, "bioimageio.spec.model.v0_4.Dependencies.file": {"fullname": "bioimageio.spec.model.v0_4.Dependencies.file", "modulename": "bioimageio.spec.model.v0_4", "qualname": "Dependencies.file", "kind": "variable", "doc": "

\u2208\ud83d\udce6 Dependency file

\n", "annotation": ": Annotated[Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator(func=<function wo_special_file_name at 0x7f46aaa98680>), PlainSerializer(func=<function _package at 0x7f46aaa998a0>, return_type=PydanticUndefined, when_used='unless-none'), FieldInfo(annotation=NoneType, required=True, examples=['environment.yaml', 'pom.xml', 'requirements.txt'])]"}, "bioimageio.spec.model.v0_4.WeightsFormat": {"fullname": "bioimageio.spec.model.v0_4.WeightsFormat", "modulename": "bioimageio.spec.model.v0_4", "qualname": "WeightsFormat", "kind": "variable", "doc": "

\n", "default_value": "typing.Literal['keras_hdf5', 'onnx', 'pytorch_state_dict', 'tensorflow_js', 'tensorflow_saved_model_bundle', 'torchscript']"}, "bioimageio.spec.model.v0_4.WeightsDescr": {"fullname": "bioimageio.spec.model.v0_4.WeightsDescr", "modulename": "bioimageio.spec.model.v0_4", "qualname": "WeightsDescr", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "bioimageio.spec._internal.node.Node"}, "bioimageio.spec.model.v0_4.WeightsDescr.keras_hdf5": {"fullname": "bioimageio.spec.model.v0_4.WeightsDescr.keras_hdf5", "modulename": "bioimageio.spec.model.v0_4", "qualname": "WeightsDescr.keras_hdf5", "kind": "variable", "doc": "

\n", "annotation": ": Optional[bioimageio.spec.model.v0_4.KerasHdf5WeightsDescr]"}, "bioimageio.spec.model.v0_4.WeightsDescr.onnx": {"fullname": "bioimageio.spec.model.v0_4.WeightsDescr.onnx", "modulename": "bioimageio.spec.model.v0_4", "qualname": "WeightsDescr.onnx", "kind": "variable", "doc": "

\n", "annotation": ": Optional[bioimageio.spec.model.v0_4.OnnxWeightsDescr]"}, "bioimageio.spec.model.v0_4.WeightsDescr.pytorch_state_dict": {"fullname": "bioimageio.spec.model.v0_4.WeightsDescr.pytorch_state_dict", "modulename": "bioimageio.spec.model.v0_4", "qualname": "WeightsDescr.pytorch_state_dict", "kind": "variable", "doc": "

\n", "annotation": ": Optional[bioimageio.spec.model.v0_4.PytorchStateDictWeightsDescr]"}, "bioimageio.spec.model.v0_4.WeightsDescr.tensorflow_js": {"fullname": "bioimageio.spec.model.v0_4.WeightsDescr.tensorflow_js", "modulename": "bioimageio.spec.model.v0_4", "qualname": "WeightsDescr.tensorflow_js", "kind": "variable", "doc": "

\n", "annotation": ": Optional[bioimageio.spec.model.v0_4.TensorflowJsWeightsDescr]"}, "bioimageio.spec.model.v0_4.WeightsDescr.tensorflow_saved_model_bundle": {"fullname": "bioimageio.spec.model.v0_4.WeightsDescr.tensorflow_saved_model_bundle", "modulename": "bioimageio.spec.model.v0_4", "qualname": "WeightsDescr.tensorflow_saved_model_bundle", "kind": "variable", "doc": "

\n", "annotation": ": Optional[bioimageio.spec.model.v0_4.TensorflowSavedModelBundleWeightsDescr]"}, "bioimageio.spec.model.v0_4.WeightsDescr.torchscript": {"fullname": "bioimageio.spec.model.v0_4.WeightsDescr.torchscript", "modulename": "bioimageio.spec.model.v0_4", "qualname": "WeightsDescr.torchscript", "kind": "variable", "doc": "

\n", "annotation": ": Optional[bioimageio.spec.model.v0_4.TorchscriptWeightsDescr]"}, "bioimageio.spec.model.v0_4.WeightsDescr.check_one_entry": {"fullname": "bioimageio.spec.model.v0_4.WeightsDescr.check_one_entry", "modulename": "bioimageio.spec.model.v0_4", "qualname": "WeightsDescr.check_one_entry", "kind": "function", "doc": "

\n", "signature": "(self) -> Self:", "funcdef": "def"}, "bioimageio.spec.model.v0_4.WeightsDescr.model_config": {"fullname": "bioimageio.spec.model.v0_4.WeightsDescr.model_config", "modulename": "bioimageio.spec.model.v0_4", "qualname": "WeightsDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_4.WeightsDescr.model_fields": {"fullname": "bioimageio.spec.model.v0_4.WeightsDescr.model_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "WeightsDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'keras_hdf5': FieldInfo(annotation=Union[KerasHdf5WeightsDescr, NoneType], required=False), 'onnx': FieldInfo(annotation=Union[OnnxWeightsDescr, NoneType], required=False), 'pytorch_state_dict': FieldInfo(annotation=Union[PytorchStateDictWeightsDescr, NoneType], required=False), 'tensorflow_js': FieldInfo(annotation=Union[TensorflowJsWeightsDescr, NoneType], required=False), 'tensorflow_saved_model_bundle': FieldInfo(annotation=Union[TensorflowSavedModelBundleWeightsDescr, NoneType], required=False), 'torchscript': FieldInfo(annotation=Union[TorchscriptWeightsDescr, NoneType], required=False)}"}, "bioimageio.spec.model.v0_4.WeightsDescr.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_4.WeightsDescr.model_computed_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "WeightsDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_4.WeightsEntryDescrBase": {"fullname": "bioimageio.spec.model.v0_4.WeightsEntryDescrBase", "modulename": "bioimageio.spec.model.v0_4", "qualname": "WeightsEntryDescrBase", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "bioimageio.spec._internal.io.FileDescr"}, "bioimageio.spec.model.v0_4.WeightsEntryDescrBase.type": {"fullname": "bioimageio.spec.model.v0_4.WeightsEntryDescrBase.type", "modulename": "bioimageio.spec.model.v0_4", "qualname": "WeightsEntryDescrBase.type", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[Literal['keras_hdf5', 'onnx', 'pytorch_state_dict', 'tensorflow_js', 'tensorflow_saved_model_bundle', 'torchscript']]"}, "bioimageio.spec.model.v0_4.WeightsEntryDescrBase.weights_format_name": {"fullname": "bioimageio.spec.model.v0_4.WeightsEntryDescrBase.weights_format_name", "modulename": "bioimageio.spec.model.v0_4", "qualname": "WeightsEntryDescrBase.weights_format_name", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[str]"}, "bioimageio.spec.model.v0_4.WeightsEntryDescrBase.source": {"fullname": "bioimageio.spec.model.v0_4.WeightsEntryDescrBase.source", "modulename": "bioimageio.spec.model.v0_4", "qualname": "WeightsEntryDescrBase.source", "kind": "variable", "doc": "

\u2208\ud83d\udce6 The weights file.

\n", "annotation": ": Annotated[Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator(func=<function wo_special_file_name at 0x7f46aaa98680>), PlainSerializer(func=<function _package at 0x7f46aaa998a0>, return_type=PydanticUndefined, when_used='unless-none')]"}, "bioimageio.spec.model.v0_4.WeightsEntryDescrBase.attachments": {"fullname": "bioimageio.spec.model.v0_4.WeightsEntryDescrBase.attachments", "modulename": "bioimageio.spec.model.v0_4", "qualname": "WeightsEntryDescrBase.attachments", "kind": "variable", "doc": "

Attachments that are specific to this weights entry.

\n", "annotation": ": Annotated[Optional[bioimageio.spec.generic.v0_2.AttachmentsDescr], AfterWarner(func=<function as_warning.<locals>.wrapper at 0x7f469bca82c0>, severity=35, msg='Weights entry depends on additional attachments.', context={'typ': None})]"}, "bioimageio.spec.model.v0_4.WeightsEntryDescrBase.authors": {"fullname": "bioimageio.spec.model.v0_4.WeightsEntryDescrBase.authors", "modulename": "bioimageio.spec.model.v0_4", "qualname": "WeightsEntryDescrBase.authors", "kind": "variable", "doc": "

Authors\nEither the person(s) that have trained this model resulting in the original weights file.\n (If this is the initial weights entry, i.e. it does not have a parent)\nOr the person(s) who have converted the weights to this weights format.\n (If this is a child weight, i.e. it has a parent field)

\n", "annotation": ": Optional[List[bioimageio.spec.generic.v0_2.Author]]"}, "bioimageio.spec.model.v0_4.WeightsEntryDescrBase.dependencies": {"fullname": "bioimageio.spec.model.v0_4.WeightsEntryDescrBase.dependencies", "modulename": "bioimageio.spec.model.v0_4", "qualname": "WeightsEntryDescrBase.dependencies", "kind": "variable", "doc": "

Dependency manager and dependency file, specified as <dependency manager>:<relative file path>.

\n", "annotation": ": Annotated[Optional[bioimageio.spec.model.v0_4.Dependencies], AfterWarner(func=<function as_warning.<locals>.wrapper at 0x7f469bcaa2a0>, severity=30, msg='Custom dependencies ({value}) specified. Avoid this whenever possible to allow execution in a wider range of software environments.', context={'typ': None}), FieldInfo(annotation=NoneType, required=True, examples=['conda:environment.yaml', 'maven:./pom.xml', 'pip:./requirements.txt'])]"}, "bioimageio.spec.model.v0_4.WeightsEntryDescrBase.parent": {"fullname": "bioimageio.spec.model.v0_4.WeightsEntryDescrBase.parent", "modulename": "bioimageio.spec.model.v0_4", "qualname": "WeightsEntryDescrBase.parent", "kind": "variable", "doc": "

The source weights these weights were converted from.\nFor example, if a model's weights were converted from the pytorch_state_dict format to torchscript,\nThe pytorch_state_dict weights entry has no parent and is the parent of the torchscript weights.\nAll weight entries except one (the initial set of weights resulting from training the model),\nneed to have this field.

\n", "annotation": ": Annotated[Optional[Literal['keras_hdf5', 'onnx', 'pytorch_state_dict', 'tensorflow_js', 'tensorflow_saved_model_bundle', 'torchscript']], FieldInfo(annotation=NoneType, required=True, examples=['pytorch_state_dict'])]"}, "bioimageio.spec.model.v0_4.WeightsEntryDescrBase.check_parent_is_not_self": {"fullname": "bioimageio.spec.model.v0_4.WeightsEntryDescrBase.check_parent_is_not_self", "modulename": "bioimageio.spec.model.v0_4", "qualname": "WeightsEntryDescrBase.check_parent_is_not_self", "kind": "function", "doc": "

\n", "signature": "(self) -> Self:", "funcdef": "def"}, "bioimageio.spec.model.v0_4.WeightsEntryDescrBase.model_config": {"fullname": "bioimageio.spec.model.v0_4.WeightsEntryDescrBase.model_config", "modulename": "bioimageio.spec.model.v0_4", "qualname": "WeightsEntryDescrBase.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_4.WeightsEntryDescrBase.model_fields": {"fullname": "bioimageio.spec.model.v0_4.WeightsEntryDescrBase.model_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "WeightsEntryDescrBase.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'source': FieldInfo(annotation=Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], required=True, metadata=[AfterValidator(func=<function wo_special_file_name>), PlainSerializer(func=<function _package>, return_type=PydanticUndefined, when_used='unless-none')]), 'sha256': FieldInfo(annotation=Union[Sha256, NoneType], required=False), 'attachments': FieldInfo(annotation=Union[AttachmentsDescr, NoneType], required=False, metadata=[AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=35, msg='Weights entry depends on additional attachments.', context={'typ': None})]), 'authors': FieldInfo(annotation=Union[List[Author], NoneType], required=False), 'dependencies': FieldInfo(annotation=Union[Dependencies, NoneType], required=False, examples=['conda:environment.yaml', 'maven:./pom.xml', 'pip:./requirements.txt'], metadata=[AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=30, msg='Custom dependencies ({value}) specified. Avoid this whenever possible to allow execution in a wider range of software environments.', context={'typ': None})]), 'parent': FieldInfo(annotation=Union[Literal['keras_hdf5', 'onnx', 'pytorch_state_dict', 'tensorflow_js', 'tensorflow_saved_model_bundle', 'torchscript'], NoneType], required=False, examples=['pytorch_state_dict'])}"}, "bioimageio.spec.model.v0_4.WeightsEntryDescrBase.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_4.WeightsEntryDescrBase.model_computed_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "WeightsEntryDescrBase.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_4.KerasHdf5WeightsDescr": {"fullname": "bioimageio.spec.model.v0_4.KerasHdf5WeightsDescr", "modulename": "bioimageio.spec.model.v0_4", "qualname": "KerasHdf5WeightsDescr", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "WeightsEntryDescrBase"}, "bioimageio.spec.model.v0_4.KerasHdf5WeightsDescr.type": {"fullname": "bioimageio.spec.model.v0_4.KerasHdf5WeightsDescr.type", "modulename": "bioimageio.spec.model.v0_4", "qualname": "KerasHdf5WeightsDescr.type", "kind": "variable", "doc": "

\n", "default_value": "'keras_hdf5'"}, "bioimageio.spec.model.v0_4.KerasHdf5WeightsDescr.weights_format_name": {"fullname": "bioimageio.spec.model.v0_4.KerasHdf5WeightsDescr.weights_format_name", "modulename": "bioimageio.spec.model.v0_4", "qualname": "KerasHdf5WeightsDescr.weights_format_name", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[str]", "default_value": "'Keras HDF5'"}, "bioimageio.spec.model.v0_4.KerasHdf5WeightsDescr.tensorflow_version": {"fullname": "bioimageio.spec.model.v0_4.KerasHdf5WeightsDescr.tensorflow_version", "modulename": "bioimageio.spec.model.v0_4", "qualname": "KerasHdf5WeightsDescr.tensorflow_version", "kind": "variable", "doc": "

TensorFlow version used to create these weights

\n", "annotation": ": Optional[bioimageio.spec._internal.version_type.Version]"}, "bioimageio.spec.model.v0_4.KerasHdf5WeightsDescr.model_config": {"fullname": "bioimageio.spec.model.v0_4.KerasHdf5WeightsDescr.model_config", "modulename": "bioimageio.spec.model.v0_4", "qualname": "KerasHdf5WeightsDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_4.KerasHdf5WeightsDescr.model_fields": {"fullname": "bioimageio.spec.model.v0_4.KerasHdf5WeightsDescr.model_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "KerasHdf5WeightsDescr.model_fields", "kind": "variable", "doc": "

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\n", "default_value": "{}"}, "bioimageio.spec.model.v0_4.OnnxWeightsDescr": {"fullname": "bioimageio.spec.model.v0_4.OnnxWeightsDescr", "modulename": "bioimageio.spec.model.v0_4", "qualname": "OnnxWeightsDescr", "kind": "class", "doc": "

Subpart of a resource description

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\n", "default_value": "'onnx'"}, "bioimageio.spec.model.v0_4.OnnxWeightsDescr.weights_format_name": {"fullname": "bioimageio.spec.model.v0_4.OnnxWeightsDescr.weights_format_name", "modulename": "bioimageio.spec.model.v0_4", "qualname": "OnnxWeightsDescr.weights_format_name", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[str]", "default_value": "'ONNX'"}, "bioimageio.spec.model.v0_4.OnnxWeightsDescr.opset_version": {"fullname": "bioimageio.spec.model.v0_4.OnnxWeightsDescr.opset_version", "modulename": "bioimageio.spec.model.v0_4", "qualname": "OnnxWeightsDescr.opset_version", "kind": "variable", "doc": "

ONNX opset version

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\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_4.OnnxWeightsDescr.model_fields": {"fullname": "bioimageio.spec.model.v0_4.OnnxWeightsDescr.model_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "OnnxWeightsDescr.model_fields", "kind": "variable", "doc": "

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\n", "default_value": "{}"}, "bioimageio.spec.model.v0_4.PytorchStateDictWeightsDescr": {"fullname": "bioimageio.spec.model.v0_4.PytorchStateDictWeightsDescr", "modulename": "bioimageio.spec.model.v0_4", "qualname": "PytorchStateDictWeightsDescr", "kind": "class", "doc": "

Subpart of a resource description

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\n", "default_value": "'pytorch_state_dict'"}, "bioimageio.spec.model.v0_4.PytorchStateDictWeightsDescr.weights_format_name": {"fullname": "bioimageio.spec.model.v0_4.PytorchStateDictWeightsDescr.weights_format_name", "modulename": "bioimageio.spec.model.v0_4", "qualname": "PytorchStateDictWeightsDescr.weights_format_name", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[str]", "default_value": "'Pytorch State Dict'"}, "bioimageio.spec.model.v0_4.PytorchStateDictWeightsDescr.architecture": {"fullname": "bioimageio.spec.model.v0_4.PytorchStateDictWeightsDescr.architecture", "modulename": "bioimageio.spec.model.v0_4", "qualname": "PytorchStateDictWeightsDescr.architecture", "kind": "variable", "doc": "

callable returning a torch.nn.Module instance.\nLocal implementation: <relative path to file>:<identifier of implementation within the file>.\nImplementation in a dependency: <dependency-package>.<[dependency-module]>.<identifier>.

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The SHA256 of the architecture source file,\nif the architecture is not defined in a module listed in dependencies

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key word arguments for the architecture callable

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Version of the PyTorch library used.\nIf depencencies is specified it should include pytorch and the verison has to match.\n(dependencies overrules pytorch_version)

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\n", "default_value": "{}"}, "bioimageio.spec.model.v0_4.TorchscriptWeightsDescr": {"fullname": "bioimageio.spec.model.v0_4.TorchscriptWeightsDescr", "modulename": "bioimageio.spec.model.v0_4", "qualname": "TorchscriptWeightsDescr", "kind": "class", "doc": "

Subpart of a resource description

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\n", "default_value": "'torchscript'"}, "bioimageio.spec.model.v0_4.TorchscriptWeightsDescr.weights_format_name": {"fullname": "bioimageio.spec.model.v0_4.TorchscriptWeightsDescr.weights_format_name", "modulename": "bioimageio.spec.model.v0_4", "qualname": "TorchscriptWeightsDescr.weights_format_name", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[str]", "default_value": "'TorchScript'"}, "bioimageio.spec.model.v0_4.TorchscriptWeightsDescr.pytorch_version": {"fullname": "bioimageio.spec.model.v0_4.TorchscriptWeightsDescr.pytorch_version", "modulename": "bioimageio.spec.model.v0_4", "qualname": "TorchscriptWeightsDescr.pytorch_version", "kind": "variable", "doc": "

Version of the PyTorch library used.

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\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_4.TorchscriptWeightsDescr.model_fields": {"fullname": "bioimageio.spec.model.v0_4.TorchscriptWeightsDescr.model_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "TorchscriptWeightsDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'source': FieldInfo(annotation=Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], required=True, metadata=[AfterValidator(func=<function wo_special_file_name>), PlainSerializer(func=<function _package>, return_type=PydanticUndefined, when_used='unless-none')]), 'sha256': FieldInfo(annotation=Union[Sha256, NoneType], required=False), 'attachments': FieldInfo(annotation=Union[AttachmentsDescr, NoneType], required=False, metadata=[AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=35, msg='Weights entry depends on additional attachments.', context={'typ': None})]), 'authors': FieldInfo(annotation=Union[List[Author], NoneType], required=False), 'dependencies': FieldInfo(annotation=Union[Dependencies, NoneType], required=False, examples=['conda:environment.yaml', 'maven:./pom.xml', 'pip:./requirements.txt'], metadata=[AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=30, msg='Custom dependencies ({value}) specified. Avoid this whenever possible to allow execution in a wider range of software environments.', context={'typ': None})]), 'parent': FieldInfo(annotation=Union[Literal['keras_hdf5', 'onnx', 'pytorch_state_dict', 'tensorflow_js', 'tensorflow_saved_model_bundle', 'torchscript'], NoneType], required=False, examples=['pytorch_state_dict']), 'pytorch_version': FieldInfo(annotation=Union[Version, NoneType], required=False)}"}, "bioimageio.spec.model.v0_4.TorchscriptWeightsDescr.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_4.TorchscriptWeightsDescr.model_computed_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "TorchscriptWeightsDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_4.TensorflowJsWeightsDescr": {"fullname": "bioimageio.spec.model.v0_4.TensorflowJsWeightsDescr", "modulename": "bioimageio.spec.model.v0_4", "qualname": "TensorflowJsWeightsDescr", "kind": "class", "doc": "

Subpart of a resource description

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\n", "default_value": "'tensorflow_js'"}, "bioimageio.spec.model.v0_4.TensorflowJsWeightsDescr.weights_format_name": {"fullname": "bioimageio.spec.model.v0_4.TensorflowJsWeightsDescr.weights_format_name", "modulename": "bioimageio.spec.model.v0_4", "qualname": "TensorflowJsWeightsDescr.weights_format_name", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[str]", "default_value": "'Tensorflow.js'"}, "bioimageio.spec.model.v0_4.TensorflowJsWeightsDescr.tensorflow_version": {"fullname": "bioimageio.spec.model.v0_4.TensorflowJsWeightsDescr.tensorflow_version", "modulename": "bioimageio.spec.model.v0_4", "qualname": "TensorflowJsWeightsDescr.tensorflow_version", "kind": "variable", "doc": "

Version of the TensorFlow library used.

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\u2208\ud83d\udce6 The multi-file weights.\nAll required files/folders should be a zip archive.

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\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_4.TensorflowJsWeightsDescr.model_fields": {"fullname": "bioimageio.spec.model.v0_4.TensorflowJsWeightsDescr.model_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "TensorflowJsWeightsDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'source': FieldInfo(annotation=Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], required=True, metadata=[AfterValidator(func=<function wo_special_file_name>), PlainSerializer(func=<function _package>, return_type=PydanticUndefined, when_used='unless-none')]), 'sha256': FieldInfo(annotation=Union[Sha256, NoneType], required=False), 'attachments': FieldInfo(annotation=Union[AttachmentsDescr, NoneType], required=False, metadata=[AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=35, msg='Weights entry depends on additional attachments.', context={'typ': None})]), 'authors': FieldInfo(annotation=Union[List[Author], NoneType], required=False), 'dependencies': FieldInfo(annotation=Union[Dependencies, NoneType], required=False, examples=['conda:environment.yaml', 'maven:./pom.xml', 'pip:./requirements.txt'], metadata=[AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=30, msg='Custom dependencies ({value}) specified. Avoid this whenever possible to allow execution in a wider range of software environments.', context={'typ': None})]), 'parent': FieldInfo(annotation=Union[Literal['keras_hdf5', 'onnx', 'pytorch_state_dict', 'tensorflow_js', 'tensorflow_saved_model_bundle', 'torchscript'], NoneType], required=False, examples=['pytorch_state_dict']), 'tensorflow_version': FieldInfo(annotation=Union[Version, NoneType], required=False)}"}, "bioimageio.spec.model.v0_4.TensorflowJsWeightsDescr.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_4.TensorflowJsWeightsDescr.model_computed_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "TensorflowJsWeightsDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_4.TensorflowSavedModelBundleWeightsDescr": {"fullname": "bioimageio.spec.model.v0_4.TensorflowSavedModelBundleWeightsDescr", "modulename": "bioimageio.spec.model.v0_4", "qualname": "TensorflowSavedModelBundleWeightsDescr", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "WeightsEntryDescrBase"}, "bioimageio.spec.model.v0_4.TensorflowSavedModelBundleWeightsDescr.type": {"fullname": "bioimageio.spec.model.v0_4.TensorflowSavedModelBundleWeightsDescr.type", "modulename": "bioimageio.spec.model.v0_4", "qualname": "TensorflowSavedModelBundleWeightsDescr.type", "kind": "variable", "doc": "

\n", "default_value": "'tensorflow_saved_model_bundle'"}, "bioimageio.spec.model.v0_4.TensorflowSavedModelBundleWeightsDescr.weights_format_name": {"fullname": "bioimageio.spec.model.v0_4.TensorflowSavedModelBundleWeightsDescr.weights_format_name", "modulename": "bioimageio.spec.model.v0_4", "qualname": "TensorflowSavedModelBundleWeightsDescr.weights_format_name", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[str]", "default_value": "'Tensorflow Saved Model'"}, "bioimageio.spec.model.v0_4.TensorflowSavedModelBundleWeightsDescr.tensorflow_version": {"fullname": "bioimageio.spec.model.v0_4.TensorflowSavedModelBundleWeightsDescr.tensorflow_version", "modulename": "bioimageio.spec.model.v0_4", "qualname": "TensorflowSavedModelBundleWeightsDescr.tensorflow_version", "kind": "variable", "doc": "

Version of the TensorFlow library used.

\n", "annotation": ": Optional[bioimageio.spec._internal.version_type.Version]"}, "bioimageio.spec.model.v0_4.TensorflowSavedModelBundleWeightsDescr.model_config": {"fullname": "bioimageio.spec.model.v0_4.TensorflowSavedModelBundleWeightsDescr.model_config", "modulename": "bioimageio.spec.model.v0_4", "qualname": "TensorflowSavedModelBundleWeightsDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_4.TensorflowSavedModelBundleWeightsDescr.model_fields": {"fullname": "bioimageio.spec.model.v0_4.TensorflowSavedModelBundleWeightsDescr.model_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "TensorflowSavedModelBundleWeightsDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'source': FieldInfo(annotation=Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], required=True, metadata=[AfterValidator(func=<function wo_special_file_name>), PlainSerializer(func=<function _package>, return_type=PydanticUndefined, when_used='unless-none')]), 'sha256': FieldInfo(annotation=Union[Sha256, NoneType], required=False), 'attachments': FieldInfo(annotation=Union[AttachmentsDescr, NoneType], required=False, metadata=[AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=35, msg='Weights entry depends on additional attachments.', context={'typ': None})]), 'authors': FieldInfo(annotation=Union[List[Author], NoneType], required=False), 'dependencies': FieldInfo(annotation=Union[Dependencies, NoneType], required=False, examples=['conda:environment.yaml', 'maven:./pom.xml', 'pip:./requirements.txt'], metadata=[AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=30, msg='Custom dependencies ({value}) specified. Avoid this whenever possible to allow execution in a wider range of software environments.', context={'typ': None})]), 'parent': FieldInfo(annotation=Union[Literal['keras_hdf5', 'onnx', 'pytorch_state_dict', 'tensorflow_js', 'tensorflow_saved_model_bundle', 'torchscript'], NoneType], required=False, examples=['pytorch_state_dict']), 'tensorflow_version': FieldInfo(annotation=Union[Version, NoneType], required=False)}"}, "bioimageio.spec.model.v0_4.TensorflowSavedModelBundleWeightsDescr.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_4.TensorflowSavedModelBundleWeightsDescr.model_computed_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "TensorflowSavedModelBundleWeightsDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_4.ParameterizedInputShape": {"fullname": "bioimageio.spec.model.v0_4.ParameterizedInputShape", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ParameterizedInputShape", "kind": "class", "doc": "

A sequence of valid shapes given by shape_k = min + k * step for k in {0, 1, ...}.

\n", "bases": "bioimageio.spec._internal.node.Node"}, "bioimageio.spec.model.v0_4.ParameterizedInputShape.min": {"fullname": "bioimageio.spec.model.v0_4.ParameterizedInputShape.min", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ParameterizedInputShape.min", "kind": "variable", "doc": "

The minimum input shape

\n", "annotation": ": Annotated[List[int], MinLen(min_length=1)]"}, "bioimageio.spec.model.v0_4.ParameterizedInputShape.step": {"fullname": "bioimageio.spec.model.v0_4.ParameterizedInputShape.step", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ParameterizedInputShape.step", "kind": "variable", "doc": "

The minimum shape change

\n", "annotation": ": Annotated[List[int], MinLen(min_length=1)]"}, "bioimageio.spec.model.v0_4.ParameterizedInputShape.matching_lengths": {"fullname": "bioimageio.spec.model.v0_4.ParameterizedInputShape.matching_lengths", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ParameterizedInputShape.matching_lengths", "kind": "function", "doc": "

\n", "signature": "(self) -> Self:", "funcdef": "def"}, "bioimageio.spec.model.v0_4.ParameterizedInputShape.model_config": {"fullname": "bioimageio.spec.model.v0_4.ParameterizedInputShape.model_config", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ParameterizedInputShape.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_4.ParameterizedInputShape.model_fields": {"fullname": "bioimageio.spec.model.v0_4.ParameterizedInputShape.model_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ParameterizedInputShape.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'min': FieldInfo(annotation=List[int], required=True, metadata=[MinLen(min_length=1)]), 'step': FieldInfo(annotation=List[int], required=True, metadata=[MinLen(min_length=1)])}"}, "bioimageio.spec.model.v0_4.ParameterizedInputShape.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_4.ParameterizedInputShape.model_computed_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ParameterizedInputShape.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_4.ImplicitOutputShape": {"fullname": "bioimageio.spec.model.v0_4.ImplicitOutputShape", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ImplicitOutputShape", "kind": "class", "doc": "

Output tensor shape depending on an input tensor shape.\nshape(output_tensor) = shape(input_tensor) * scale + 2 * offset

\n", "bases": "bioimageio.spec._internal.node.Node"}, "bioimageio.spec.model.v0_4.ImplicitOutputShape.reference_tensor": {"fullname": "bioimageio.spec.model.v0_4.ImplicitOutputShape.reference_tensor", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ImplicitOutputShape.reference_tensor", "kind": "variable", "doc": "

Name of the reference tensor.

\n", "annotation": ": bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, AfterValidator, AfterValidator, Annotated[TypeVar, Predicate]]]"}, "bioimageio.spec.model.v0_4.ImplicitOutputShape.scale": {"fullname": "bioimageio.spec.model.v0_4.ImplicitOutputShape.scale", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ImplicitOutputShape.scale", "kind": "variable", "doc": "

output_pix/input_pix for each dimension.\n'null' values indicate new dimensions, whose length is defined by 2*offset

\n", "annotation": ": Annotated[List[Optional[float]], MinLen(min_length=1)]"}, "bioimageio.spec.model.v0_4.ImplicitOutputShape.offset": {"fullname": "bioimageio.spec.model.v0_4.ImplicitOutputShape.offset", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ImplicitOutputShape.offset", "kind": "variable", "doc": "

Position of origin wrt to input.

\n", "annotation": ": Annotated[List[Union[int, Annotated[float, MultipleOf(multiple_of=0.5)]]], MinLen(min_length=1)]"}, "bioimageio.spec.model.v0_4.ImplicitOutputShape.matching_lengths": {"fullname": "bioimageio.spec.model.v0_4.ImplicitOutputShape.matching_lengths", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ImplicitOutputShape.matching_lengths", "kind": "function", "doc": "

\n", "signature": "(self) -> Self:", "funcdef": "def"}, "bioimageio.spec.model.v0_4.ImplicitOutputShape.model_config": {"fullname": "bioimageio.spec.model.v0_4.ImplicitOutputShape.model_config", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ImplicitOutputShape.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_4.ImplicitOutputShape.model_fields": {"fullname": "bioimageio.spec.model.v0_4.ImplicitOutputShape.model_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ImplicitOutputShape.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'reference_tensor': FieldInfo(annotation=ValidatedString[Annotated[str, MinLen, AfterValidator, AfterValidator, Annotated[TypeVar, Predicate]]], required=True), 'scale': FieldInfo(annotation=List[Union[float, NoneType]], required=True, metadata=[MinLen(min_length=1)]), 'offset': FieldInfo(annotation=List[Union[int, Annotated[float, MultipleOf]]], required=True, metadata=[MinLen(min_length=1)])}"}, "bioimageio.spec.model.v0_4.ImplicitOutputShape.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_4.ImplicitOutputShape.model_computed_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ImplicitOutputShape.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_4.TensorDescrBase": {"fullname": "bioimageio.spec.model.v0_4.TensorDescrBase", "modulename": "bioimageio.spec.model.v0_4", "qualname": "TensorDescrBase", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "bioimageio.spec._internal.node.Node"}, "bioimageio.spec.model.v0_4.TensorDescrBase.name": {"fullname": "bioimageio.spec.model.v0_4.TensorDescrBase.name", "modulename": "bioimageio.spec.model.v0_4", "qualname": "TensorDescrBase.name", "kind": "variable", "doc": "

Tensor name. No duplicates are allowed.

\n", "annotation": ": bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, AfterValidator, AfterValidator, Annotated[TypeVar, Predicate]]]"}, "bioimageio.spec.model.v0_4.TensorDescrBase.description": {"fullname": "bioimageio.spec.model.v0_4.TensorDescrBase.description", "modulename": "bioimageio.spec.model.v0_4", "qualname": "TensorDescrBase.description", "kind": "variable", "doc": "

\n", "annotation": ": str"}, "bioimageio.spec.model.v0_4.TensorDescrBase.axes": {"fullname": "bioimageio.spec.model.v0_4.TensorDescrBase.axes", "modulename": "bioimageio.spec.model.v0_4", "qualname": "TensorDescrBase.axes", "kind": "variable", "doc": "

Axes identifying characters. Same length and order as the axes in shape.\n| axis | description |\n| --- | --- |\n| b | batch (groups multiple samples) |\n| i | instance/index/element |\n| t | time |\n| c | channel |\n| z | spatial dimension z |\n| y | spatial dimension y |\n| x | spatial dimension x |

\n", "annotation": ": Annotated[str, RestrictCharacters(alphabet='bitczyx'), AfterValidator(func=<function validate_unique_entries at 0x7f46aa9eccc0>)]"}, "bioimageio.spec.model.v0_4.TensorDescrBase.data_range": {"fullname": "bioimageio.spec.model.v0_4.TensorDescrBase.data_range", "modulename": "bioimageio.spec.model.v0_4", "qualname": "TensorDescrBase.data_range", "kind": "variable", "doc": "

Tuple (minimum, maximum) specifying the allowed range of the data in this tensor.\nIf not specified, the full data range that can be expressed in data_type is allowed.

\n", "annotation": ": Optional[Tuple[Annotated[float, AllowInfNan(allow_inf_nan=True)], Annotated[float, AllowInfNan(allow_inf_nan=True)]]]"}, "bioimageio.spec.model.v0_4.TensorDescrBase.model_config": {"fullname": "bioimageio.spec.model.v0_4.TensorDescrBase.model_config", "modulename": "bioimageio.spec.model.v0_4", "qualname": "TensorDescrBase.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_4.TensorDescrBase.model_fields": {"fullname": "bioimageio.spec.model.v0_4.TensorDescrBase.model_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "TensorDescrBase.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'name': FieldInfo(annotation=ValidatedString[Annotated[str, MinLen, AfterValidator, AfterValidator, Annotated[TypeVar, Predicate]]], required=True), 'description': FieldInfo(annotation=str, required=False, default=''), 'axes': FieldInfo(annotation=str, required=True, metadata=[RestrictCharacters(alphabet='bitczyx'), AfterValidator(func=<function validate_unique_entries>)]), 'data_range': FieldInfo(annotation=Union[Tuple[Annotated[float, AllowInfNan(allow_inf_nan=True)], Annotated[float, AllowInfNan(allow_inf_nan=True)]], NoneType], required=False)}"}, "bioimageio.spec.model.v0_4.TensorDescrBase.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_4.TensorDescrBase.model_computed_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "TensorDescrBase.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_4.ProcessingKwargs": {"fullname": "bioimageio.spec.model.v0_4.ProcessingKwargs", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ProcessingKwargs", "kind": "class", "doc": "

base class for pre-/postprocessing key word arguments

\n", "bases": "bioimageio.spec._internal.common_nodes.KwargsNode"}, "bioimageio.spec.model.v0_4.ProcessingKwargs.model_config": {"fullname": "bioimageio.spec.model.v0_4.ProcessingKwargs.model_config", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ProcessingKwargs.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_4.ProcessingKwargs.model_fields": {"fullname": "bioimageio.spec.model.v0_4.ProcessingKwargs.model_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ProcessingKwargs.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_4.ProcessingKwargs.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_4.ProcessingKwargs.model_computed_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ProcessingKwargs.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_4.ProcessingDescrBase": {"fullname": "bioimageio.spec.model.v0_4.ProcessingDescrBase", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ProcessingDescrBase", "kind": "class", "doc": "

processing base class

\n", "bases": "bioimageio.spec._internal.common_nodes.NodeWithExplicitlySetFields"}, "bioimageio.spec.model.v0_4.ProcessingDescrBase.fields_to_set_explicitly": {"fullname": "bioimageio.spec.model.v0_4.ProcessingDescrBase.fields_to_set_explicitly", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ProcessingDescrBase.fields_to_set_explicitly", "kind": "variable", "doc": "

set set these fields explicitly with their default value if they are not set,\nsuch that they are always included even when dumping with 'exlude_unset'

\n", "annotation": ": ClassVar[FrozenSet[LiteralString]]", "default_value": "frozenset({'name'})"}, "bioimageio.spec.model.v0_4.ProcessingDescrBase.model_config": {"fullname": "bioimageio.spec.model.v0_4.ProcessingDescrBase.model_config", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ProcessingDescrBase.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_4.ProcessingDescrBase.model_fields": {"fullname": "bioimageio.spec.model.v0_4.ProcessingDescrBase.model_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ProcessingDescrBase.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_4.ProcessingDescrBase.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_4.ProcessingDescrBase.model_computed_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ProcessingDescrBase.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_4.BinarizeKwargs": {"fullname": "bioimageio.spec.model.v0_4.BinarizeKwargs", "modulename": "bioimageio.spec.model.v0_4", "qualname": "BinarizeKwargs", "kind": "class", "doc": "

base class for pre-/postprocessing key word arguments

\n", "bases": "ProcessingKwargs"}, "bioimageio.spec.model.v0_4.BinarizeKwargs.threshold": {"fullname": "bioimageio.spec.model.v0_4.BinarizeKwargs.threshold", "modulename": "bioimageio.spec.model.v0_4", "qualname": "BinarizeKwargs.threshold", "kind": "variable", "doc": "

The fixed threshold

\n", "annotation": ": float"}, "bioimageio.spec.model.v0_4.BinarizeKwargs.model_config": {"fullname": "bioimageio.spec.model.v0_4.BinarizeKwargs.model_config", "modulename": "bioimageio.spec.model.v0_4", "qualname": "BinarizeKwargs.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_4.BinarizeKwargs.model_fields": {"fullname": "bioimageio.spec.model.v0_4.BinarizeKwargs.model_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "BinarizeKwargs.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'threshold': FieldInfo(annotation=float, required=True)}"}, "bioimageio.spec.model.v0_4.BinarizeKwargs.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_4.BinarizeKwargs.model_computed_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "BinarizeKwargs.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_4.BinarizeDescr": {"fullname": "bioimageio.spec.model.v0_4.BinarizeDescr", "modulename": "bioimageio.spec.model.v0_4", "qualname": "BinarizeDescr", "kind": "class", "doc": "

BinarizeDescr the tensor with a fixed threshold.\nValues above the threshold will be set to one, values below the threshold to zero.

\n", "bases": "ProcessingDescrBase"}, "bioimageio.spec.model.v0_4.BinarizeDescr.name": {"fullname": "bioimageio.spec.model.v0_4.BinarizeDescr.name", "modulename": "bioimageio.spec.model.v0_4", "qualname": "BinarizeDescr.name", "kind": "variable", "doc": "

\n", "annotation": ": Literal['binarize']"}, "bioimageio.spec.model.v0_4.BinarizeDescr.kwargs": {"fullname": "bioimageio.spec.model.v0_4.BinarizeDescr.kwargs", "modulename": "bioimageio.spec.model.v0_4", "qualname": "BinarizeDescr.kwargs", "kind": "variable", "doc": "

\n", "annotation": ": bioimageio.spec.model.v0_4.BinarizeKwargs"}, "bioimageio.spec.model.v0_4.BinarizeDescr.model_config": {"fullname": "bioimageio.spec.model.v0_4.BinarizeDescr.model_config", "modulename": "bioimageio.spec.model.v0_4", "qualname": "BinarizeDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_4.BinarizeDescr.model_fields": {"fullname": "bioimageio.spec.model.v0_4.BinarizeDescr.model_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "BinarizeDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'name': FieldInfo(annotation=Literal['binarize'], required=False, default='binarize'), 'kwargs': FieldInfo(annotation=BinarizeKwargs, required=True)}"}, "bioimageio.spec.model.v0_4.BinarizeDescr.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_4.BinarizeDescr.model_computed_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "BinarizeDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_4.ClipKwargs": {"fullname": "bioimageio.spec.model.v0_4.ClipKwargs", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ClipKwargs", "kind": "class", "doc": "

base class for pre-/postprocessing key word arguments

\n", "bases": "ProcessingKwargs"}, "bioimageio.spec.model.v0_4.ClipKwargs.min": {"fullname": "bioimageio.spec.model.v0_4.ClipKwargs.min", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ClipKwargs.min", "kind": "variable", "doc": "

minimum value for clipping

\n", "annotation": ": float"}, "bioimageio.spec.model.v0_4.ClipKwargs.max": {"fullname": "bioimageio.spec.model.v0_4.ClipKwargs.max", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ClipKwargs.max", "kind": "variable", "doc": "

maximum value for clipping

\n", "annotation": ": float"}, "bioimageio.spec.model.v0_4.ClipKwargs.model_config": {"fullname": "bioimageio.spec.model.v0_4.ClipKwargs.model_config", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ClipKwargs.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_4.ClipKwargs.model_fields": {"fullname": "bioimageio.spec.model.v0_4.ClipKwargs.model_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ClipKwargs.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'min': FieldInfo(annotation=float, required=True), 'max': FieldInfo(annotation=float, required=True)}"}, "bioimageio.spec.model.v0_4.ClipKwargs.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_4.ClipKwargs.model_computed_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ClipKwargs.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_4.ClipDescr": {"fullname": "bioimageio.spec.model.v0_4.ClipDescr", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ClipDescr", "kind": "class", "doc": "

Set tensor values below min to min and above max to max.

\n", "bases": "ProcessingDescrBase"}, "bioimageio.spec.model.v0_4.ClipDescr.name": {"fullname": "bioimageio.spec.model.v0_4.ClipDescr.name", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ClipDescr.name", "kind": "variable", "doc": "

\n", "annotation": ": Literal['clip']"}, "bioimageio.spec.model.v0_4.ClipDescr.kwargs": {"fullname": "bioimageio.spec.model.v0_4.ClipDescr.kwargs", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ClipDescr.kwargs", "kind": "variable", "doc": "

\n", "annotation": ": bioimageio.spec.model.v0_4.ClipKwargs"}, "bioimageio.spec.model.v0_4.ClipDescr.model_config": {"fullname": "bioimageio.spec.model.v0_4.ClipDescr.model_config", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ClipDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_4.ClipDescr.model_fields": {"fullname": "bioimageio.spec.model.v0_4.ClipDescr.model_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ClipDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'name': FieldInfo(annotation=Literal['clip'], required=False, default='clip'), 'kwargs': FieldInfo(annotation=ClipKwargs, required=True)}"}, "bioimageio.spec.model.v0_4.ClipDescr.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_4.ClipDescr.model_computed_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ClipDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_4.ScaleLinearKwargs": {"fullname": "bioimageio.spec.model.v0_4.ScaleLinearKwargs", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleLinearKwargs", "kind": "class", "doc": "

base class for pre-/postprocessing key word arguments

\n", "bases": "ProcessingKwargs"}, "bioimageio.spec.model.v0_4.ScaleLinearKwargs.axes": {"fullname": "bioimageio.spec.model.v0_4.ScaleLinearKwargs.axes", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleLinearKwargs.axes", "kind": "variable", "doc": "

The subset of axes to scale jointly.\nFor example xy to scale the two image axes for 2d data jointly.

\n", "annotation": ": Annotated[Optional[Annotated[str, RestrictCharacters(alphabet='czyx'), AfterValidator(func=<function validate_unique_entries at 0x7f46aa9eccc0>)]], FieldInfo(annotation=NoneType, required=True, examples=['xy'])]"}, "bioimageio.spec.model.v0_4.ScaleLinearKwargs.gain": {"fullname": "bioimageio.spec.model.v0_4.ScaleLinearKwargs.gain", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleLinearKwargs.gain", "kind": "variable", "doc": "

multiplicative factor

\n", "annotation": ": Union[float, List[float]]"}, "bioimageio.spec.model.v0_4.ScaleLinearKwargs.offset": {"fullname": "bioimageio.spec.model.v0_4.ScaleLinearKwargs.offset", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleLinearKwargs.offset", "kind": "variable", "doc": "

additive term

\n", "annotation": ": Union[float, List[float]]"}, "bioimageio.spec.model.v0_4.ScaleLinearKwargs.either_gain_or_offset": {"fullname": "bioimageio.spec.model.v0_4.ScaleLinearKwargs.either_gain_or_offset", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleLinearKwargs.either_gain_or_offset", "kind": "function", "doc": "

\n", "signature": "(self) -> Self:", "funcdef": "def"}, "bioimageio.spec.model.v0_4.ScaleLinearKwargs.model_config": {"fullname": "bioimageio.spec.model.v0_4.ScaleLinearKwargs.model_config", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleLinearKwargs.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_4.ScaleLinearKwargs.model_fields": {"fullname": "bioimageio.spec.model.v0_4.ScaleLinearKwargs.model_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleLinearKwargs.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'axes': FieldInfo(annotation=Union[Annotated[str, RestrictCharacters, AfterValidator], NoneType], required=False, examples=['xy']), 'gain': FieldInfo(annotation=Union[float, List[float]], required=False, default=1.0), 'offset': FieldInfo(annotation=Union[float, List[float]], required=False, default=0.0)}"}, "bioimageio.spec.model.v0_4.ScaleLinearKwargs.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_4.ScaleLinearKwargs.model_computed_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleLinearKwargs.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_4.ScaleLinearDescr": {"fullname": "bioimageio.spec.model.v0_4.ScaleLinearDescr", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleLinearDescr", "kind": "class", "doc": "

Fixed linear scaling.

\n", "bases": "ProcessingDescrBase"}, "bioimageio.spec.model.v0_4.ScaleLinearDescr.name": {"fullname": "bioimageio.spec.model.v0_4.ScaleLinearDescr.name", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleLinearDescr.name", "kind": "variable", "doc": "

\n", "annotation": ": Literal['scale_linear']"}, "bioimageio.spec.model.v0_4.ScaleLinearDescr.kwargs": {"fullname": "bioimageio.spec.model.v0_4.ScaleLinearDescr.kwargs", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleLinearDescr.kwargs", "kind": "variable", "doc": "

\n", "annotation": ": bioimageio.spec.model.v0_4.ScaleLinearKwargs"}, "bioimageio.spec.model.v0_4.ScaleLinearDescr.model_config": {"fullname": "bioimageio.spec.model.v0_4.ScaleLinearDescr.model_config", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleLinearDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_4.ScaleLinearDescr.model_fields": {"fullname": "bioimageio.spec.model.v0_4.ScaleLinearDescr.model_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleLinearDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'name': FieldInfo(annotation=Literal['scale_linear'], required=False, default='scale_linear'), 'kwargs': FieldInfo(annotation=ScaleLinearKwargs, required=True)}"}, "bioimageio.spec.model.v0_4.ScaleLinearDescr.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_4.ScaleLinearDescr.model_computed_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleLinearDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_4.SigmoidDescr": {"fullname": "bioimageio.spec.model.v0_4.SigmoidDescr", "modulename": "bioimageio.spec.model.v0_4", "qualname": "SigmoidDescr", "kind": "class", "doc": "

The logistic sigmoid funciton, a.k.a. expit function.

\n", "bases": "ProcessingDescrBase"}, "bioimageio.spec.model.v0_4.SigmoidDescr.name": {"fullname": "bioimageio.spec.model.v0_4.SigmoidDescr.name", "modulename": "bioimageio.spec.model.v0_4", "qualname": "SigmoidDescr.name", "kind": "variable", "doc": "

\n", "annotation": ": Literal['sigmoid']"}, "bioimageio.spec.model.v0_4.SigmoidDescr.kwargs": {"fullname": "bioimageio.spec.model.v0_4.SigmoidDescr.kwargs", "modulename": "bioimageio.spec.model.v0_4", "qualname": "SigmoidDescr.kwargs", "kind": "variable", "doc": "

empty kwargs

\n", "annotation": ": bioimageio.spec.model.v0_4.ProcessingKwargs"}, "bioimageio.spec.model.v0_4.SigmoidDescr.model_config": {"fullname": "bioimageio.spec.model.v0_4.SigmoidDescr.model_config", "modulename": "bioimageio.spec.model.v0_4", "qualname": "SigmoidDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_4.SigmoidDescr.model_fields": {"fullname": "bioimageio.spec.model.v0_4.SigmoidDescr.model_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "SigmoidDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'name': FieldInfo(annotation=Literal['sigmoid'], required=False, default='sigmoid')}"}, "bioimageio.spec.model.v0_4.SigmoidDescr.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_4.SigmoidDescr.model_computed_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "SigmoidDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_4.ZeroMeanUnitVarianceKwargs": {"fullname": "bioimageio.spec.model.v0_4.ZeroMeanUnitVarianceKwargs", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ZeroMeanUnitVarianceKwargs", "kind": "class", "doc": "

base class for pre-/postprocessing key word arguments

\n", "bases": "ProcessingKwargs"}, "bioimageio.spec.model.v0_4.ZeroMeanUnitVarianceKwargs.mode": {"fullname": "bioimageio.spec.model.v0_4.ZeroMeanUnitVarianceKwargs.mode", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ZeroMeanUnitVarianceKwargs.mode", "kind": "variable", "doc": "

Mode for computing mean and variance.\n| mode | description |\n| ----------- | ------------------------------------ |\n| fixed | Fixed values for mean and variance |\n| per_dataset | Compute for the entire dataset |\n| per_sample | Compute for each sample individually |

\n", "annotation": ": Literal['fixed', 'per_dataset', 'per_sample']"}, "bioimageio.spec.model.v0_4.ZeroMeanUnitVarianceKwargs.axes": {"fullname": "bioimageio.spec.model.v0_4.ZeroMeanUnitVarianceKwargs.axes", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ZeroMeanUnitVarianceKwargs.axes", "kind": "variable", "doc": "

The subset of axes to normalize jointly.\nFor example xy to normalize the two image axes for 2d data jointly.

\n", "annotation": ": Annotated[str, RestrictCharacters(alphabet='czyx'), AfterValidator(func=<function validate_unique_entries at 0x7f46aa9eccc0>), FieldInfo(annotation=NoneType, required=True, examples=['xy'])]"}, "bioimageio.spec.model.v0_4.ZeroMeanUnitVarianceKwargs.mean": {"fullname": "bioimageio.spec.model.v0_4.ZeroMeanUnitVarianceKwargs.mean", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ZeroMeanUnitVarianceKwargs.mean", "kind": "variable", "doc": "

The mean value(s) to use for mode: fixed.\nFor example [1.1, 2.2, 3.3] in the case of a 3 channel image with axes: xy.

\n", "annotation": ": Annotated[Union[float, Annotated[List[float], MinLen(min_length=1)], NoneType], FieldInfo(annotation=NoneType, required=True, examples=[(1.1, 2.2, 3.3)])]"}, "bioimageio.spec.model.v0_4.ZeroMeanUnitVarianceKwargs.std": {"fullname": "bioimageio.spec.model.v0_4.ZeroMeanUnitVarianceKwargs.std", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ZeroMeanUnitVarianceKwargs.std", "kind": "variable", "doc": "

The standard deviation values to use for mode: fixed. Analogous to mean.

\n", "annotation": ": Annotated[Union[float, Annotated[List[float], MinLen(min_length=1)], NoneType], FieldInfo(annotation=NoneType, required=True, examples=[(0.1, 0.2, 0.3)])]"}, "bioimageio.spec.model.v0_4.ZeroMeanUnitVarianceKwargs.eps": {"fullname": "bioimageio.spec.model.v0_4.ZeroMeanUnitVarianceKwargs.eps", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ZeroMeanUnitVarianceKwargs.eps", "kind": "variable", "doc": "

epsilon for numeric stability: out = (tensor - mean) / (std + eps).

\n", "annotation": ": Annotated[float, Interval(gt=0, ge=None, lt=None, le=0.1)]"}, "bioimageio.spec.model.v0_4.ZeroMeanUnitVarianceKwargs.mean_and_std_match_mode": {"fullname": "bioimageio.spec.model.v0_4.ZeroMeanUnitVarianceKwargs.mean_and_std_match_mode", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ZeroMeanUnitVarianceKwargs.mean_and_std_match_mode", "kind": "function", "doc": "

\n", "signature": "(self) -> Self:", "funcdef": "def"}, "bioimageio.spec.model.v0_4.ZeroMeanUnitVarianceKwargs.model_config": {"fullname": "bioimageio.spec.model.v0_4.ZeroMeanUnitVarianceKwargs.model_config", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ZeroMeanUnitVarianceKwargs.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_4.ZeroMeanUnitVarianceKwargs.model_fields": {"fullname": "bioimageio.spec.model.v0_4.ZeroMeanUnitVarianceKwargs.model_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ZeroMeanUnitVarianceKwargs.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'mode': FieldInfo(annotation=Literal['fixed', 'per_dataset', 'per_sample'], required=False, default='fixed'), 'axes': FieldInfo(annotation=str, required=True, examples=['xy'], metadata=[RestrictCharacters(alphabet='czyx'), AfterValidator(func=<function validate_unique_entries>)]), 'mean': FieldInfo(annotation=Union[float, Annotated[List[float], MinLen], NoneType], required=False, examples=[(1.1, 2.2, 3.3)]), 'std': FieldInfo(annotation=Union[float, Annotated[List[float], MinLen], NoneType], required=False, examples=[(0.1, 0.2, 0.3)]), 'eps': FieldInfo(annotation=float, required=False, default=1e-06, metadata=[Interval(gt=0, ge=None, lt=None, le=0.1)])}"}, "bioimageio.spec.model.v0_4.ZeroMeanUnitVarianceKwargs.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_4.ZeroMeanUnitVarianceKwargs.model_computed_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ZeroMeanUnitVarianceKwargs.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_4.ZeroMeanUnitVarianceDescr": {"fullname": "bioimageio.spec.model.v0_4.ZeroMeanUnitVarianceDescr", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ZeroMeanUnitVarianceDescr", "kind": "class", "doc": "

Subtract mean and divide by variance.

\n", "bases": "ProcessingDescrBase"}, "bioimageio.spec.model.v0_4.ZeroMeanUnitVarianceDescr.name": {"fullname": "bioimageio.spec.model.v0_4.ZeroMeanUnitVarianceDescr.name", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ZeroMeanUnitVarianceDescr.name", "kind": "variable", "doc": "

\n", "annotation": ": Literal['zero_mean_unit_variance']"}, "bioimageio.spec.model.v0_4.ZeroMeanUnitVarianceDescr.kwargs": {"fullname": "bioimageio.spec.model.v0_4.ZeroMeanUnitVarianceDescr.kwargs", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ZeroMeanUnitVarianceDescr.kwargs", "kind": "variable", "doc": "

\n", "annotation": ": bioimageio.spec.model.v0_4.ZeroMeanUnitVarianceKwargs"}, "bioimageio.spec.model.v0_4.ZeroMeanUnitVarianceDescr.model_config": {"fullname": "bioimageio.spec.model.v0_4.ZeroMeanUnitVarianceDescr.model_config", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ZeroMeanUnitVarianceDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_4.ZeroMeanUnitVarianceDescr.model_fields": {"fullname": "bioimageio.spec.model.v0_4.ZeroMeanUnitVarianceDescr.model_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ZeroMeanUnitVarianceDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'name': FieldInfo(annotation=Literal['zero_mean_unit_variance'], required=False, default='zero_mean_unit_variance'), 'kwargs': FieldInfo(annotation=ZeroMeanUnitVarianceKwargs, required=True)}"}, "bioimageio.spec.model.v0_4.ZeroMeanUnitVarianceDescr.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_4.ZeroMeanUnitVarianceDescr.model_computed_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ZeroMeanUnitVarianceDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_4.ScaleRangeKwargs": {"fullname": "bioimageio.spec.model.v0_4.ScaleRangeKwargs", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleRangeKwargs", "kind": "class", "doc": "

base class for pre-/postprocessing key word arguments

\n", "bases": "ProcessingKwargs"}, "bioimageio.spec.model.v0_4.ScaleRangeKwargs.mode": {"fullname": "bioimageio.spec.model.v0_4.ScaleRangeKwargs.mode", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleRangeKwargs.mode", "kind": "variable", "doc": "

Mode for computing percentiles.\n| mode | description |\n| ----------- | ------------------------------------ |\n| per_dataset | compute for the entire dataset |\n| per_sample | compute for each sample individually |

\n", "annotation": ": Literal['per_dataset', 'per_sample']"}, "bioimageio.spec.model.v0_4.ScaleRangeKwargs.axes": {"fullname": "bioimageio.spec.model.v0_4.ScaleRangeKwargs.axes", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleRangeKwargs.axes", "kind": "variable", "doc": "

The subset of axes to normalize jointly.\nFor example xy to normalize the two image axes for 2d data jointly.

\n", "annotation": ": Annotated[str, RestrictCharacters(alphabet='czyx'), AfterValidator(func=<function validate_unique_entries at 0x7f46aa9eccc0>), FieldInfo(annotation=NoneType, required=True, examples=['xy'])]"}, "bioimageio.spec.model.v0_4.ScaleRangeKwargs.min_percentile": {"fullname": "bioimageio.spec.model.v0_4.ScaleRangeKwargs.min_percentile", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleRangeKwargs.min_percentile", "kind": "variable", "doc": "

The lower percentile used for normalization.

\n", "annotation": ": Annotated[Union[int, float], Interval(gt=None, ge=0, lt=100, le=None)]"}, "bioimageio.spec.model.v0_4.ScaleRangeKwargs.max_percentile": {"fullname": "bioimageio.spec.model.v0_4.ScaleRangeKwargs.max_percentile", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleRangeKwargs.max_percentile", "kind": "variable", "doc": "

The upper percentile used for normalization\nHas to be bigger than min_percentile.\nThe range is 1 to 100 instead of 0 to 100 to avoid mistakenly\naccepting percentiles specified in the range 0.0 to 1.0.

\n", "annotation": ": Annotated[Union[int, float], Interval(gt=1, ge=None, lt=None, le=100)]"}, "bioimageio.spec.model.v0_4.ScaleRangeKwargs.min_smaller_max": {"fullname": "bioimageio.spec.model.v0_4.ScaleRangeKwargs.min_smaller_max", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleRangeKwargs.min_smaller_max", "kind": "function", "doc": "

\n", "signature": "(self, info: pydantic_core.core_schema.ValidationInfo) -> Self:", "funcdef": "def"}, "bioimageio.spec.model.v0_4.ScaleRangeKwargs.eps": {"fullname": "bioimageio.spec.model.v0_4.ScaleRangeKwargs.eps", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleRangeKwargs.eps", "kind": "variable", "doc": "

Epsilon for numeric stability.\nout = (tensor - v_lower) / (v_upper - v_lower + eps);\nwith v_lower,v_upper values at the respective percentiles.

\n", "annotation": ": Annotated[float, Interval(gt=0, ge=None, lt=None, le=0.1)]"}, "bioimageio.spec.model.v0_4.ScaleRangeKwargs.reference_tensor": {"fullname": "bioimageio.spec.model.v0_4.ScaleRangeKwargs.reference_tensor", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleRangeKwargs.reference_tensor", "kind": "variable", "doc": "

Tensor name to compute the percentiles from. Default: The tensor itself.\nFor any tensor in inputs only input tensor references are allowed.\nFor a tensor in outputs only input tensor refereences are allowed if mode: per_dataset

\n", "annotation": ": Optional[bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, AfterValidator, AfterValidator, Annotated[TypeVar, Predicate]]]]"}, "bioimageio.spec.model.v0_4.ScaleRangeKwargs.model_config": {"fullname": "bioimageio.spec.model.v0_4.ScaleRangeKwargs.model_config", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleRangeKwargs.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_4.ScaleRangeKwargs.model_fields": {"fullname": "bioimageio.spec.model.v0_4.ScaleRangeKwargs.model_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleRangeKwargs.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'mode': FieldInfo(annotation=Literal['per_dataset', 'per_sample'], required=True), 'axes': FieldInfo(annotation=str, required=True, examples=['xy'], metadata=[RestrictCharacters(alphabet='czyx'), AfterValidator(func=<function validate_unique_entries>)]), 'min_percentile': FieldInfo(annotation=Union[int, float], required=False, default=0.0, metadata=[Interval(gt=None, ge=0, lt=100, le=None)]), 'max_percentile': FieldInfo(annotation=Union[int, float], required=False, default=100.0, metadata=[Interval(gt=1, ge=None, lt=None, le=100)]), 'eps': FieldInfo(annotation=float, required=False, default=1e-06, metadata=[Interval(gt=0, ge=None, lt=None, le=0.1)]), 'reference_tensor': FieldInfo(annotation=Union[ValidatedString[Annotated[str, MinLen, AfterValidator, AfterValidator, Annotated[TypeVar, Predicate]]], NoneType], required=False)}"}, "bioimageio.spec.model.v0_4.ScaleRangeKwargs.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_4.ScaleRangeKwargs.model_computed_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleRangeKwargs.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_4.ScaleRangeDescr": {"fullname": "bioimageio.spec.model.v0_4.ScaleRangeDescr", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleRangeDescr", "kind": "class", "doc": "

Scale with percentiles.

\n", "bases": "ProcessingDescrBase"}, "bioimageio.spec.model.v0_4.ScaleRangeDescr.name": {"fullname": "bioimageio.spec.model.v0_4.ScaleRangeDescr.name", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleRangeDescr.name", "kind": "variable", "doc": "

\n", "annotation": ": Literal['scale_range']"}, "bioimageio.spec.model.v0_4.ScaleRangeDescr.kwargs": {"fullname": "bioimageio.spec.model.v0_4.ScaleRangeDescr.kwargs", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleRangeDescr.kwargs", "kind": "variable", "doc": "

\n", "annotation": ": bioimageio.spec.model.v0_4.ScaleRangeKwargs"}, "bioimageio.spec.model.v0_4.ScaleRangeDescr.model_config": {"fullname": "bioimageio.spec.model.v0_4.ScaleRangeDescr.model_config", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleRangeDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_4.ScaleRangeDescr.model_fields": {"fullname": "bioimageio.spec.model.v0_4.ScaleRangeDescr.model_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleRangeDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'name': FieldInfo(annotation=Literal['scale_range'], required=False, default='scale_range'), 'kwargs': FieldInfo(annotation=ScaleRangeKwargs, required=True)}"}, "bioimageio.spec.model.v0_4.ScaleRangeDescr.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_4.ScaleRangeDescr.model_computed_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleRangeDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_4.ScaleMeanVarianceKwargs": {"fullname": "bioimageio.spec.model.v0_4.ScaleMeanVarianceKwargs", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleMeanVarianceKwargs", "kind": "class", "doc": "

base class for pre-/postprocessing key word arguments

\n", "bases": "ProcessingKwargs"}, "bioimageio.spec.model.v0_4.ScaleMeanVarianceKwargs.mode": {"fullname": "bioimageio.spec.model.v0_4.ScaleMeanVarianceKwargs.mode", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleMeanVarianceKwargs.mode", "kind": "variable", "doc": "

Mode for computing mean and variance.\n| mode | description |\n| ----------- | ------------------------------------ |\n| per_dataset | Compute for the entire dataset |\n| per_sample | Compute for each sample individually |

\n", "annotation": ": Literal['per_dataset', 'per_sample']"}, "bioimageio.spec.model.v0_4.ScaleMeanVarianceKwargs.reference_tensor": {"fullname": "bioimageio.spec.model.v0_4.ScaleMeanVarianceKwargs.reference_tensor", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleMeanVarianceKwargs.reference_tensor", "kind": "variable", "doc": "

Name of tensor to match.

\n", "annotation": ": bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, AfterValidator, AfterValidator, Annotated[TypeVar, Predicate]]]"}, "bioimageio.spec.model.v0_4.ScaleMeanVarianceKwargs.axes": {"fullname": "bioimageio.spec.model.v0_4.ScaleMeanVarianceKwargs.axes", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleMeanVarianceKwargs.axes", "kind": "variable", "doc": "

The subset of axes to scale jointly.\nFor example xy to normalize the two image axes for 2d data jointly.\nDefault: scale all non-batch axes jointly.

\n", "annotation": ": Annotated[Optional[Annotated[str, RestrictCharacters(alphabet='czyx'), AfterValidator(func=<function validate_unique_entries at 0x7f46aa9eccc0>)]], FieldInfo(annotation=NoneType, required=True, examples=['xy'])]"}, "bioimageio.spec.model.v0_4.ScaleMeanVarianceKwargs.eps": {"fullname": "bioimageio.spec.model.v0_4.ScaleMeanVarianceKwargs.eps", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleMeanVarianceKwargs.eps", "kind": "variable", "doc": "

Epsilon for numeric stability:\n\"`out = (tensor - mean) / (std + eps) * (ref_std + eps) + ref_mean.

\n", "annotation": ": Annotated[float, Interval(gt=0, ge=None, lt=None, le=0.1)]"}, "bioimageio.spec.model.v0_4.ScaleMeanVarianceKwargs.model_config": {"fullname": "bioimageio.spec.model.v0_4.ScaleMeanVarianceKwargs.model_config", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleMeanVarianceKwargs.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_4.ScaleMeanVarianceKwargs.model_fields": {"fullname": "bioimageio.spec.model.v0_4.ScaleMeanVarianceKwargs.model_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleMeanVarianceKwargs.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'mode': FieldInfo(annotation=Literal['per_dataset', 'per_sample'], required=True), 'reference_tensor': FieldInfo(annotation=ValidatedString[Annotated[str, MinLen, AfterValidator, AfterValidator, Annotated[TypeVar, Predicate]]], required=True), 'axes': FieldInfo(annotation=Union[Annotated[str, RestrictCharacters, AfterValidator], NoneType], required=False, examples=['xy']), 'eps': FieldInfo(annotation=float, required=False, default=1e-06, metadata=[Interval(gt=0, ge=None, lt=None, le=0.1)])}"}, "bioimageio.spec.model.v0_4.ScaleMeanVarianceKwargs.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_4.ScaleMeanVarianceKwargs.model_computed_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleMeanVarianceKwargs.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_4.ScaleMeanVarianceDescr": {"fullname": "bioimageio.spec.model.v0_4.ScaleMeanVarianceDescr", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleMeanVarianceDescr", "kind": "class", "doc": "

Scale the tensor s.t. its mean and variance match a reference tensor.

\n", "bases": "ProcessingDescrBase"}, "bioimageio.spec.model.v0_4.ScaleMeanVarianceDescr.name": {"fullname": "bioimageio.spec.model.v0_4.ScaleMeanVarianceDescr.name", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleMeanVarianceDescr.name", "kind": "variable", "doc": "

\n", "annotation": ": Literal['scale_mean_variance']"}, "bioimageio.spec.model.v0_4.ScaleMeanVarianceDescr.kwargs": {"fullname": "bioimageio.spec.model.v0_4.ScaleMeanVarianceDescr.kwargs", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleMeanVarianceDescr.kwargs", "kind": "variable", "doc": "

\n", "annotation": ": bioimageio.spec.model.v0_4.ScaleMeanVarianceKwargs"}, "bioimageio.spec.model.v0_4.ScaleMeanVarianceDescr.model_config": {"fullname": "bioimageio.spec.model.v0_4.ScaleMeanVarianceDescr.model_config", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleMeanVarianceDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_4.ScaleMeanVarianceDescr.model_fields": {"fullname": "bioimageio.spec.model.v0_4.ScaleMeanVarianceDescr.model_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleMeanVarianceDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'name': FieldInfo(annotation=Literal['scale_mean_variance'], required=False, default='scale_mean_variance'), 'kwargs': FieldInfo(annotation=ScaleMeanVarianceKwargs, required=True)}"}, "bioimageio.spec.model.v0_4.ScaleMeanVarianceDescr.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_4.ScaleMeanVarianceDescr.model_computed_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleMeanVarianceDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_4.PreprocessingDescr": {"fullname": "bioimageio.spec.model.v0_4.PreprocessingDescr", "modulename": "bioimageio.spec.model.v0_4", "qualname": "PreprocessingDescr", "kind": "variable", "doc": "

\n", "default_value": "typing.Annotated[typing.Union[bioimageio.spec.model.v0_4.BinarizeDescr, bioimageio.spec.model.v0_4.ClipDescr, bioimageio.spec.model.v0_4.ScaleLinearDescr, bioimageio.spec.model.v0_4.SigmoidDescr, bioimageio.spec.model.v0_4.ZeroMeanUnitVarianceDescr, bioimageio.spec.model.v0_4.ScaleRangeDescr], FieldInfo(annotation=NoneType, required=True, discriminator='name')]"}, "bioimageio.spec.model.v0_4.PostprocessingDescr": {"fullname": "bioimageio.spec.model.v0_4.PostprocessingDescr", "modulename": "bioimageio.spec.model.v0_4", "qualname": "PostprocessingDescr", "kind": "variable", "doc": "

\n", "default_value": "typing.Annotated[typing.Union[bioimageio.spec.model.v0_4.BinarizeDescr, bioimageio.spec.model.v0_4.ClipDescr, bioimageio.spec.model.v0_4.ScaleLinearDescr, bioimageio.spec.model.v0_4.SigmoidDescr, bioimageio.spec.model.v0_4.ZeroMeanUnitVarianceDescr, bioimageio.spec.model.v0_4.ScaleRangeDescr, bioimageio.spec.model.v0_4.ScaleMeanVarianceDescr], FieldInfo(annotation=NoneType, required=True, discriminator='name')]"}, "bioimageio.spec.model.v0_4.InputTensorDescr": {"fullname": "bioimageio.spec.model.v0_4.InputTensorDescr", "modulename": "bioimageio.spec.model.v0_4", "qualname": "InputTensorDescr", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "TensorDescrBase"}, "bioimageio.spec.model.v0_4.InputTensorDescr.data_type": {"fullname": "bioimageio.spec.model.v0_4.InputTensorDescr.data_type", "modulename": "bioimageio.spec.model.v0_4", "qualname": "InputTensorDescr.data_type", "kind": "variable", "doc": "

For now an input tensor is expected to be given as float32.\nThe data flow in bioimage.io models is explained\nin this diagram..

\n", "annotation": ": Literal['float32', 'uint8', 'uint16']"}, "bioimageio.spec.model.v0_4.InputTensorDescr.shape": {"fullname": "bioimageio.spec.model.v0_4.InputTensorDescr.shape", "modulename": "bioimageio.spec.model.v0_4", "qualname": "InputTensorDescr.shape", "kind": "variable", "doc": "

Specification of input tensor shape.

\n", "annotation": ": Annotated[Union[Sequence[int], bioimageio.spec.model.v0_4.ParameterizedInputShape], FieldInfo(annotation=NoneType, required=True, examples=[(1, 512, 512, 1), {'min': (1, 64, 64, 1), 'step': (0, 32, 32, 0)}])]"}, "bioimageio.spec.model.v0_4.InputTensorDescr.preprocessing": {"fullname": "bioimageio.spec.model.v0_4.InputTensorDescr.preprocessing", "modulename": "bioimageio.spec.model.v0_4", "qualname": "InputTensorDescr.preprocessing", "kind": "variable", "doc": "

Description of how this input should be preprocessed.

\n", "annotation": ": List[Annotated[Union[bioimageio.spec.model.v0_4.BinarizeDescr, bioimageio.spec.model.v0_4.ClipDescr, bioimageio.spec.model.v0_4.ScaleLinearDescr, bioimageio.spec.model.v0_4.SigmoidDescr, bioimageio.spec.model.v0_4.ZeroMeanUnitVarianceDescr, bioimageio.spec.model.v0_4.ScaleRangeDescr], FieldInfo(annotation=NoneType, required=True, discriminator='name')]]"}, "bioimageio.spec.model.v0_4.InputTensorDescr.zero_batch_step_and_one_batch_size": {"fullname": "bioimageio.spec.model.v0_4.InputTensorDescr.zero_batch_step_and_one_batch_size", "modulename": "bioimageio.spec.model.v0_4", "qualname": "InputTensorDescr.zero_batch_step_and_one_batch_size", "kind": "function", "doc": "

\n", "signature": "(self) -> Self:", "funcdef": "def"}, "bioimageio.spec.model.v0_4.InputTensorDescr.validate_preprocessing_kwargs": {"fullname": "bioimageio.spec.model.v0_4.InputTensorDescr.validate_preprocessing_kwargs", "modulename": "bioimageio.spec.model.v0_4", "qualname": "InputTensorDescr.validate_preprocessing_kwargs", "kind": "function", "doc": "

\n", "signature": "(self) -> Self:", "funcdef": "def"}, "bioimageio.spec.model.v0_4.InputTensorDescr.model_config": {"fullname": "bioimageio.spec.model.v0_4.InputTensorDescr.model_config", "modulename": "bioimageio.spec.model.v0_4", "qualname": "InputTensorDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_4.InputTensorDescr.model_fields": {"fullname": "bioimageio.spec.model.v0_4.InputTensorDescr.model_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "InputTensorDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'name': FieldInfo(annotation=ValidatedString[Annotated[str, MinLen, AfterValidator, AfterValidator, Annotated[TypeVar, Predicate]]], required=True), 'description': FieldInfo(annotation=str, required=False, default=''), 'axes': FieldInfo(annotation=str, required=True, metadata=[RestrictCharacters(alphabet='bitczyx'), AfterValidator(func=<function validate_unique_entries>)]), 'data_range': FieldInfo(annotation=Union[Tuple[Annotated[float, AllowInfNan(allow_inf_nan=True)], Annotated[float, AllowInfNan(allow_inf_nan=True)]], NoneType], required=False), 'data_type': FieldInfo(annotation=Literal['float32', 'uint8', 'uint16'], required=True), 'shape': FieldInfo(annotation=Union[Sequence[int], ParameterizedInputShape], required=True, examples=[(1, 512, 512, 1), {'min': (1, 64, 64, 1), 'step': (0, 32, 32, 0)}]), 'preprocessing': FieldInfo(annotation=List[Annotated[Union[BinarizeDescr, ClipDescr, ScaleLinearDescr, SigmoidDescr, ZeroMeanUnitVarianceDescr, ScaleRangeDescr], FieldInfo(annotation=NoneType, required=True, discriminator='name')]], required=False, default_factory=list)}"}, "bioimageio.spec.model.v0_4.InputTensorDescr.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_4.InputTensorDescr.model_computed_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "InputTensorDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_4.OutputTensorDescr": {"fullname": "bioimageio.spec.model.v0_4.OutputTensorDescr", "modulename": "bioimageio.spec.model.v0_4", "qualname": "OutputTensorDescr", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "TensorDescrBase"}, "bioimageio.spec.model.v0_4.OutputTensorDescr.data_type": {"fullname": "bioimageio.spec.model.v0_4.OutputTensorDescr.data_type", "modulename": "bioimageio.spec.model.v0_4", "qualname": "OutputTensorDescr.data_type", "kind": "variable", "doc": "

Data type.\nThe data flow in bioimage.io models is explained\nin this diagram..

\n", "annotation": ": Literal['float32', 'float64', 'uint8', 'int8', 'uint16', 'int16', 'uint32', 'int32', 'uint64', 'int64', 'bool']"}, "bioimageio.spec.model.v0_4.OutputTensorDescr.shape": {"fullname": "bioimageio.spec.model.v0_4.OutputTensorDescr.shape", "modulename": "bioimageio.spec.model.v0_4", "qualname": "OutputTensorDescr.shape", "kind": "variable", "doc": "

Output tensor shape.

\n", "annotation": ": Union[Sequence[int], bioimageio.spec.model.v0_4.ImplicitOutputShape]"}, "bioimageio.spec.model.v0_4.OutputTensorDescr.halo": {"fullname": "bioimageio.spec.model.v0_4.OutputTensorDescr.halo", "modulename": "bioimageio.spec.model.v0_4", "qualname": "OutputTensorDescr.halo", "kind": "variable", "doc": "

The halo that should be cropped from the output tensor to avoid boundary effects.\nThe halo is to be cropped from both sides, i.e. shape_after_crop = shape - 2 * halo.\nTo document a halo that is already cropped by the model shape.offset has to be used instead.

\n", "annotation": ": Optional[Sequence[int]]"}, "bioimageio.spec.model.v0_4.OutputTensorDescr.postprocessing": {"fullname": "bioimageio.spec.model.v0_4.OutputTensorDescr.postprocessing", "modulename": "bioimageio.spec.model.v0_4", "qualname": "OutputTensorDescr.postprocessing", "kind": "variable", "doc": "

Description of how this output should be postprocessed.

\n", "annotation": ": List[Annotated[Union[bioimageio.spec.model.v0_4.BinarizeDescr, bioimageio.spec.model.v0_4.ClipDescr, bioimageio.spec.model.v0_4.ScaleLinearDescr, bioimageio.spec.model.v0_4.SigmoidDescr, bioimageio.spec.model.v0_4.ZeroMeanUnitVarianceDescr, bioimageio.spec.model.v0_4.ScaleRangeDescr, bioimageio.spec.model.v0_4.ScaleMeanVarianceDescr], FieldInfo(annotation=NoneType, required=True, discriminator='name')]]"}, "bioimageio.spec.model.v0_4.OutputTensorDescr.matching_halo_length": {"fullname": "bioimageio.spec.model.v0_4.OutputTensorDescr.matching_halo_length", "modulename": "bioimageio.spec.model.v0_4", "qualname": "OutputTensorDescr.matching_halo_length", "kind": "function", "doc": "

\n", "signature": "(self) -> Self:", "funcdef": "def"}, "bioimageio.spec.model.v0_4.OutputTensorDescr.validate_postprocessing_kwargs": {"fullname": "bioimageio.spec.model.v0_4.OutputTensorDescr.validate_postprocessing_kwargs", "modulename": "bioimageio.spec.model.v0_4", "qualname": "OutputTensorDescr.validate_postprocessing_kwargs", "kind": "function", "doc": "

\n", "signature": "(self) -> Self:", "funcdef": "def"}, "bioimageio.spec.model.v0_4.OutputTensorDescr.model_config": {"fullname": "bioimageio.spec.model.v0_4.OutputTensorDescr.model_config", "modulename": "bioimageio.spec.model.v0_4", "qualname": "OutputTensorDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_4.OutputTensorDescr.model_fields": {"fullname": "bioimageio.spec.model.v0_4.OutputTensorDescr.model_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "OutputTensorDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'name': FieldInfo(annotation=ValidatedString[Annotated[str, MinLen, AfterValidator, AfterValidator, Annotated[TypeVar, Predicate]]], required=True), 'description': FieldInfo(annotation=str, required=False, default=''), 'axes': FieldInfo(annotation=str, required=True, metadata=[RestrictCharacters(alphabet='bitczyx'), AfterValidator(func=<function validate_unique_entries>)]), 'data_range': FieldInfo(annotation=Union[Tuple[Annotated[float, AllowInfNan(allow_inf_nan=True)], Annotated[float, AllowInfNan(allow_inf_nan=True)]], NoneType], required=False), 'data_type': FieldInfo(annotation=Literal['float32', 'float64', 'uint8', 'int8', 'uint16', 'int16', 'uint32', 'int32', 'uint64', 'int64', 'bool'], required=True), 'shape': FieldInfo(annotation=Union[Sequence[int], ImplicitOutputShape], required=True), 'halo': FieldInfo(annotation=Union[Sequence[int], NoneType], required=False), 'postprocessing': FieldInfo(annotation=List[Annotated[Union[BinarizeDescr, ClipDescr, ScaleLinearDescr, SigmoidDescr, ZeroMeanUnitVarianceDescr, ScaleRangeDescr, ScaleMeanVarianceDescr], FieldInfo(annotation=NoneType, required=True, discriminator='name')]], required=False, default_factory=list)}"}, "bioimageio.spec.model.v0_4.OutputTensorDescr.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_4.OutputTensorDescr.model_computed_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "OutputTensorDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_4.KnownRunMode": {"fullname": "bioimageio.spec.model.v0_4.KnownRunMode", "modulename": "bioimageio.spec.model.v0_4", "qualname": "KnownRunMode", "kind": "variable", "doc": "

\n", "default_value": "typing.Literal['deepimagej']"}, "bioimageio.spec.model.v0_4.RunMode": {"fullname": "bioimageio.spec.model.v0_4.RunMode", "modulename": "bioimageio.spec.model.v0_4", "qualname": "RunMode", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "bioimageio.spec._internal.node.Node"}, "bioimageio.spec.model.v0_4.RunMode.name": {"fullname": "bioimageio.spec.model.v0_4.RunMode.name", "modulename": "bioimageio.spec.model.v0_4", "qualname": "RunMode.name", "kind": "variable", "doc": "

Run mode name

\n", "annotation": ": Annotated[Union[Literal['deepimagej'], str], AfterWarner(func=<function as_warning.<locals>.wrapper at 0x7f469d2cf600>, severity=30, msg="Unknown run mode '{value}'.", context={'typ': Literal['deepimagej']})]"}, "bioimageio.spec.model.v0_4.RunMode.kwargs": {"fullname": "bioimageio.spec.model.v0_4.RunMode.kwargs", "modulename": "bioimageio.spec.model.v0_4", "qualname": "RunMode.kwargs", "kind": "variable", "doc": "

Run mode specific key word arguments

\n", "annotation": ": Dict[str, Any]"}, "bioimageio.spec.model.v0_4.RunMode.model_config": {"fullname": "bioimageio.spec.model.v0_4.RunMode.model_config", "modulename": "bioimageio.spec.model.v0_4", "qualname": "RunMode.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_4.RunMode.model_fields": {"fullname": "bioimageio.spec.model.v0_4.RunMode.model_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "RunMode.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'name': FieldInfo(annotation=Union[Literal['deepimagej'], str], required=True, metadata=[AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=30, msg="Unknown run mode '{value}'.", context={'typ': typing.Literal['deepimagej']})]), 'kwargs': FieldInfo(annotation=Dict[str, Any], required=False, default_factory=dict)}"}, "bioimageio.spec.model.v0_4.RunMode.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_4.RunMode.model_computed_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "RunMode.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_4.LinkedModel": {"fullname": "bioimageio.spec.model.v0_4.LinkedModel", "modulename": "bioimageio.spec.model.v0_4", "qualname": "LinkedModel", "kind": "class", "doc": "

Reference to a bioimage.io model.

\n", "bases": "bioimageio.spec._internal.node.Node"}, "bioimageio.spec.model.v0_4.LinkedModel.id": {"fullname": "bioimageio.spec.model.v0_4.LinkedModel.id", "modulename": "bioimageio.spec.model.v0_4", "qualname": "LinkedModel.id", "kind": "variable", "doc": "

A valid model id from the bioimage.io collection.

\n", "annotation": ": bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]]"}, "bioimageio.spec.model.v0_4.LinkedModel.version_number": {"fullname": "bioimageio.spec.model.v0_4.LinkedModel.version_number", "modulename": "bioimageio.spec.model.v0_4", "qualname": "LinkedModel.version_number", "kind": "variable", "doc": "

version number (n-th published version, not the semantic version) of linked model

\n", "annotation": ": Optional[int]"}, "bioimageio.spec.model.v0_4.LinkedModel.model_config": {"fullname": "bioimageio.spec.model.v0_4.LinkedModel.model_config", "modulename": "bioimageio.spec.model.v0_4", "qualname": "LinkedModel.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_4.LinkedModel.model_fields": {"fullname": "bioimageio.spec.model.v0_4.LinkedModel.model_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "LinkedModel.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'id': FieldInfo(annotation=ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]], required=True), 'version_number': FieldInfo(annotation=Union[int, NoneType], required=False)}"}, "bioimageio.spec.model.v0_4.LinkedModel.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_4.LinkedModel.model_computed_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "LinkedModel.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_4.ModelDescr": {"fullname": "bioimageio.spec.model.v0_4.ModelDescr", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ModelDescr", "kind": "class", "doc": "

Specification of the fields used in a bioimage.io-compliant RDF that describes AI models with pretrained weights.

\n\n

These fields are typically stored in a YAML file which we call a model resource description file (model RDF).

\n", "bases": "bioimageio.spec.generic.v0_2.GenericModelDescrBase"}, "bioimageio.spec.model.v0_4.ModelDescr.format_version": {"fullname": "bioimageio.spec.model.v0_4.ModelDescr.format_version", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ModelDescr.format_version", "kind": "variable", "doc": "

Version of the bioimage.io model description specification used.\nWhen creating a new model always use the latest micro/patch version described here.\nThe format_version is important for any consumer software to understand how to parse the fields.

\n", "annotation": ": Literal['0.4.10']"}, "bioimageio.spec.model.v0_4.ModelDescr.type": {"fullname": "bioimageio.spec.model.v0_4.ModelDescr.type", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ModelDescr.type", "kind": "variable", "doc": "

Specialized resource type 'model'

\n", "annotation": ": Literal['model']"}, "bioimageio.spec.model.v0_4.ModelDescr.id": {"fullname": "bioimageio.spec.model.v0_4.ModelDescr.id", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ModelDescr.id", "kind": "variable", "doc": "

Model zoo (bioimage.io) wide, unique identifier (assigned by bioimage.io)

\n", "annotation": ": Optional[bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]]]"}, "bioimageio.spec.model.v0_4.ModelDescr.authors": {"fullname": "bioimageio.spec.model.v0_4.ModelDescr.authors", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ModelDescr.authors", "kind": "variable", "doc": "

The authors are the creators of the model RDF and the primary points of contact.

\n", "annotation": ": Annotated[List[bioimageio.spec.generic.v0_2.Author], MinLen(min_length=1)]"}, "bioimageio.spec.model.v0_4.ModelDescr.documentation": {"fullname": "bioimageio.spec.model.v0_4.ModelDescr.documentation", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ModelDescr.documentation", "kind": "variable", "doc": "

\u2208\ud83d\udce6 URL or relative path to a markdown file with additional documentation.\nThe recommended documentation file name is README.md. An .md suffix is mandatory.\nThe documentation should include a '[#[#]]# Validation' (sub)section\nwith details on how to quantitatively validate the model on unseen data.

\n", "annotation": ": Annotated[Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator(func=<function wo_special_file_name at 0x7f46aaa98680>), PlainSerializer(func=<function _package at 0x7f46aaa998a0>, return_type=PydanticUndefined, when_used='unless-none'), FieldInfo(annotation=NoneType, required=True, examples=['https://raw.githubusercontent.com/bioimage-io/spec-bioimage-io/main/example_descriptions/models/unet2d_nuclei_broad/README.md', 'README.md'])]"}, "bioimageio.spec.model.v0_4.ModelDescr.inputs": {"fullname": "bioimageio.spec.model.v0_4.ModelDescr.inputs", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ModelDescr.inputs", "kind": "variable", "doc": "

Describes the input tensors expected by this model.

\n", "annotation": ": Annotated[List[bioimageio.spec.model.v0_4.InputTensorDescr], MinLen(min_length=1)]"}, "bioimageio.spec.model.v0_4.ModelDescr.license": {"fullname": "bioimageio.spec.model.v0_4.ModelDescr.license", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ModelDescr.license", "kind": "variable", "doc": "

A SPDX license identifier.\nWe do notsupport custom license beyond the SPDX license list, if you need that please\nopen a GitHub issue to discuss your intentions with the community.

\n", "annotation": ": Annotated[Union[bioimageio.spec._internal.license_id.LicenseId, str], AfterWarner(func=<function as_warning.<locals>.wrapper at 0x7f469d2cf420>, severity=30, msg="Unknown license id '{value}'.", context={'typ': <class 'bioimageio.spec._internal.license_id.LicenseId'>}), FieldInfo(annotation=NoneType, required=True, examples=['CC-BY-4.0', 'MIT', 'BSD-2-Clause'])]"}, "bioimageio.spec.model.v0_4.ModelDescr.name": {"fullname": "bioimageio.spec.model.v0_4.ModelDescr.name", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ModelDescr.name", "kind": "variable", "doc": "

A human-readable name of this model.\nIt should be no longer than 64 characters and only contain letter, number, underscore, minus or space characters.

\n", "annotation": ": Annotated[str, MinLen(min_length=1), AfterWarner(func=<function as_warning.<locals>.wrapper at 0x7f469d2cf7e0>, severity=20, msg='Name shorter than 5 characters.', context={'typ': Annotated[Any, MinLen(min_length=5)]}), AfterWarner(func=<function as_warning.<locals>.wrapper at 0x7f469d1e47c0>, severity=20, msg='Name longer than 64 characters.', context={'typ': Annotated[Any, MaxLen(max_length=64)]})]"}, "bioimageio.spec.model.v0_4.ModelDescr.outputs": {"fullname": "bioimageio.spec.model.v0_4.ModelDescr.outputs", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ModelDescr.outputs", "kind": "variable", "doc": "

Describes the output tensors.

\n", "annotation": ": Annotated[List[bioimageio.spec.model.v0_4.OutputTensorDescr], MinLen(min_length=1)]"}, "bioimageio.spec.model.v0_4.ModelDescr.unique_tensor_descr_names": {"fullname": "bioimageio.spec.model.v0_4.ModelDescr.unique_tensor_descr_names", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ModelDescr.unique_tensor_descr_names", "kind": "function", "doc": "

\n", "signature": "(\tcls,\tvalue: Sequence[Union[bioimageio.spec.model.v0_4.InputTensorDescr, bioimageio.spec.model.v0_4.OutputTensorDescr]]) -> Sequence[Union[bioimageio.spec.model.v0_4.InputTensorDescr, bioimageio.spec.model.v0_4.OutputTensorDescr]]:", "funcdef": "def"}, "bioimageio.spec.model.v0_4.ModelDescr.unique_io_names": {"fullname": "bioimageio.spec.model.v0_4.ModelDescr.unique_io_names", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ModelDescr.unique_io_names", "kind": "function", "doc": "

\n", "signature": "(self) -> Self:", "funcdef": "def"}, "bioimageio.spec.model.v0_4.ModelDescr.minimum_shape2valid_output": {"fullname": "bioimageio.spec.model.v0_4.ModelDescr.minimum_shape2valid_output", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ModelDescr.minimum_shape2valid_output", "kind": "function", "doc": "

\n", "signature": "(self) -> Self:", "funcdef": "def"}, "bioimageio.spec.model.v0_4.ModelDescr.validate_tensor_references_in_inputs": {"fullname": "bioimageio.spec.model.v0_4.ModelDescr.validate_tensor_references_in_inputs", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ModelDescr.validate_tensor_references_in_inputs", "kind": "function", "doc": "

\n", "signature": "(self) -> Self:", "funcdef": "def"}, "bioimageio.spec.model.v0_4.ModelDescr.validate_tensor_references_in_outputs": {"fullname": "bioimageio.spec.model.v0_4.ModelDescr.validate_tensor_references_in_outputs", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ModelDescr.validate_tensor_references_in_outputs", "kind": "function", "doc": "

\n", "signature": "(self) -> Self:", "funcdef": "def"}, "bioimageio.spec.model.v0_4.ModelDescr.packaged_by": {"fullname": "bioimageio.spec.model.v0_4.ModelDescr.packaged_by", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ModelDescr.packaged_by", "kind": "variable", "doc": "

The persons that have packaged and uploaded this model.\nOnly required if those persons differ from the authors.

\n", "annotation": ": List[bioimageio.spec.generic.v0_2.Author]"}, "bioimageio.spec.model.v0_4.ModelDescr.parent": {"fullname": "bioimageio.spec.model.v0_4.ModelDescr.parent", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ModelDescr.parent", "kind": "variable", "doc": "

The model from which this model is derived, e.g. by fine-tuning the weights.

\n", "annotation": ": Optional[bioimageio.spec.model.v0_4.LinkedModel]"}, "bioimageio.spec.model.v0_4.ModelDescr.ignore_url_parent": {"fullname": "bioimageio.spec.model.v0_4.ModelDescr.ignore_url_parent", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ModelDescr.ignore_url_parent", "kind": "function", "doc": "

\n", "signature": "(cls, parent: Any):", "funcdef": "def"}, "bioimageio.spec.model.v0_4.ModelDescr.run_mode": {"fullname": "bioimageio.spec.model.v0_4.ModelDescr.run_mode", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ModelDescr.run_mode", "kind": "variable", "doc": "

Custom run mode for this model: for more complex prediction procedures like test time\ndata augmentation that currently cannot be expressed in the specification.\nNo standard run modes are defined yet.

\n", "annotation": ": Optional[bioimageio.spec.model.v0_4.RunMode]"}, "bioimageio.spec.model.v0_4.ModelDescr.sample_inputs": {"fullname": "bioimageio.spec.model.v0_4.ModelDescr.sample_inputs", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ModelDescr.sample_inputs", "kind": "variable", "doc": "

\u2208\ud83d\udce6 URLs/relative paths to sample inputs to illustrate possible inputs for the model,\nfor example stored as PNG or TIFF images.\nThe sample files primarily serve to inform a human user about an example use case

\n", "annotation": ": List[Annotated[Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator(func=<function wo_special_file_name at 0x7f46aaa98680>), PlainSerializer(func=<function _package at 0x7f46aaa998a0>, return_type=PydanticUndefined, when_used='unless-none')]]"}, "bioimageio.spec.model.v0_4.ModelDescr.sample_outputs": {"fullname": "bioimageio.spec.model.v0_4.ModelDescr.sample_outputs", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ModelDescr.sample_outputs", "kind": "variable", "doc": "

\u2208\ud83d\udce6 URLs/relative paths to sample outputs corresponding to the sample_inputs.

\n", "annotation": ": List[Annotated[Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator(func=<function wo_special_file_name at 0x7f46aaa98680>), PlainSerializer(func=<function _package at 0x7f46aaa998a0>, return_type=PydanticUndefined, when_used='unless-none')]]"}, "bioimageio.spec.model.v0_4.ModelDescr.test_inputs": {"fullname": "bioimageio.spec.model.v0_4.ModelDescr.test_inputs", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ModelDescr.test_inputs", "kind": "variable", "doc": "

\u2208\ud83d\udce6 Test input tensors compatible with the inputs description for a single test case.\nThis means if your model has more than one input, you should provide one URL/relative path for each input.\nEach test input should be a file with an ndarray in\nnumpy.lib file format.\nThe extension must be '.npy'.

\n", "annotation": ": Annotated[List[Annotated[Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator(func=<function wo_special_file_name at 0x7f46aaa98680>), PlainSerializer(func=<function _package at 0x7f46aaa998a0>, return_type=PydanticUndefined, when_used='unless-none'), WithSuffix(suffix='.npy', case_sensitive=True)]], MinLen(min_length=1)]"}, "bioimageio.spec.model.v0_4.ModelDescr.test_outputs": {"fullname": "bioimageio.spec.model.v0_4.ModelDescr.test_outputs", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ModelDescr.test_outputs", "kind": "variable", "doc": "

\u2208\ud83d\udce6 Analog to test_inputs.

\n", "annotation": ": Annotated[List[Annotated[Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator(func=<function wo_special_file_name at 0x7f46aaa98680>), PlainSerializer(func=<function _package at 0x7f46aaa998a0>, return_type=PydanticUndefined, when_used='unless-none'), WithSuffix(suffix='.npy', case_sensitive=True)]], MinLen(min_length=1)]"}, "bioimageio.spec.model.v0_4.ModelDescr.timestamp": {"fullname": "bioimageio.spec.model.v0_4.ModelDescr.timestamp", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ModelDescr.timestamp", "kind": "variable", "doc": "

Timestamp in ISO 8601 format\nwith a few restrictions listed here.

\n", "annotation": ": bioimageio.spec._internal.types.Datetime"}, "bioimageio.spec.model.v0_4.ModelDescr.training_data": {"fullname": "bioimageio.spec.model.v0_4.ModelDescr.training_data", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ModelDescr.training_data", "kind": "variable", "doc": "

The dataset used to train this model

\n", "annotation": ": Union[bioimageio.spec.dataset.v0_2.LinkedDataset, bioimageio.spec.dataset.v0_2.DatasetDescr, NoneType]"}, "bioimageio.spec.model.v0_4.ModelDescr.weights": {"fullname": "bioimageio.spec.model.v0_4.ModelDescr.weights", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ModelDescr.weights", "kind": "variable", "doc": "

The weights for this model.\nWeights can be given for different formats, but should otherwise be equivalent.\nThe available weight formats determine which consumers can use this model.

\n", "annotation": ": bioimageio.spec.model.v0_4.WeightsDescr"}, "bioimageio.spec.model.v0_4.ModelDescr.get_input_test_arrays": {"fullname": "bioimageio.spec.model.v0_4.ModelDescr.get_input_test_arrays", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ModelDescr.get_input_test_arrays", "kind": "function", "doc": "

\n", "signature": "(self) -> List[numpy.ndarray[Any, numpy.dtype[Any]]]:", "funcdef": "def"}, "bioimageio.spec.model.v0_4.ModelDescr.get_output_test_arrays": {"fullname": "bioimageio.spec.model.v0_4.ModelDescr.get_output_test_arrays", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ModelDescr.get_output_test_arrays", "kind": "function", "doc": "

\n", "signature": "(self) -> List[numpy.ndarray[Any, numpy.dtype[Any]]]:", "funcdef": "def"}, "bioimageio.spec.model.v0_4.ModelDescr.implemented_format_version": {"fullname": "bioimageio.spec.model.v0_4.ModelDescr.implemented_format_version", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ModelDescr.implemented_format_version", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[str]", "default_value": "'0.4.10'"}, "bioimageio.spec.model.v0_4.ModelDescr.implemented_format_version_tuple": {"fullname": "bioimageio.spec.model.v0_4.ModelDescr.implemented_format_version_tuple", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ModelDescr.implemented_format_version_tuple", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[Tuple[int, int, int]]", "default_value": "(0, 4, 10)"}, "bioimageio.spec.model.v0_4.ModelDescr.model_config": {"fullname": "bioimageio.spec.model.v0_4.ModelDescr.model_config", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ModelDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True, 'title': 'bioimage.io model specification'}"}, "bioimageio.spec.model.v0_4.ModelDescr.model_fields": {"fullname": "bioimageio.spec.model.v0_4.ModelDescr.model_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ModelDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'name': FieldInfo(annotation=str, required=True, metadata=[MinLen(min_length=1), AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=20, msg='Name shorter than 5 characters.', context={'typ': typing.Annotated[typing.Any, MinLen(min_length=5)]}), AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=20, msg='Name longer than 64 characters.', context={'typ': typing.Annotated[typing.Any, MaxLen(max_length=64)]})]), 'description': FieldInfo(annotation=str, required=True), 'covers': FieldInfo(annotation=List[Annotated[Union[HttpUrl, Annotated[Path, PathType, Predicate], RelativeFilePath], WithSuffix, PlainSerializer]], required=False, default_factory=list, description="Cover images. Please use an image smaller than 500KB and an aspect ratio width to height of 2:1.\\nThe supported image formats are: ('.gif', '.jpeg', '.jpg', '.png', '.svg')", examples=['cover.png']), 'id_emoji': FieldInfo(annotation=Union[Annotated[str, Len], NoneType], required=False), 'authors': FieldInfo(annotation=List[Author], required=True, metadata=[MinLen(min_length=1)]), 'attachments': FieldInfo(annotation=Union[AttachmentsDescr, NoneType], required=False), 'cite': FieldInfo(annotation=List[CiteEntry], required=False, default_factory=list), 'config': FieldInfo(annotation=Dict[str, YamlValue], required=False, default_factory=dict, examples=[{'bioimageio': {'my_custom_key': 3837283, 'another_key': {'nested': 'value'}}, 'imagej': {'macro_dir': 'path/to/macro/file'}}]), 'download_url': FieldInfo(annotation=Union[HttpUrl, NoneType], required=False), 'git_repo': FieldInfo(annotation=Union[str, NoneType], required=False, examples=['https://github.com/bioimage-io/spec-bioimage-io/tree/main/example_descriptions/models/unet2d_nuclei_broad']), 'icon': FieldInfo(annotation=Union[Annotated[Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator, PlainSerializer], Annotated[str, Len], NoneType], required=False), 'links': FieldInfo(annotation=List[str], required=False, default_factory=list, examples=[('ilastik/ilastik', 'deepimagej/deepimagej', 'zero/notebook_u-net_3d_zerocostdl4mic')]), 'uploader': FieldInfo(annotation=Union[Uploader, NoneType], required=False), 'maintainers': FieldInfo(annotation=List[Maintainer], required=False, default_factory=list), 'rdf_source': FieldInfo(annotation=Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)], NoneType], required=False), 'tags': FieldInfo(annotation=List[str], required=False, default_factory=list, examples=[('unet2d', 'pytorch', 'nucleus', 'segmentation', 'dsb2018')]), 'version': FieldInfo(annotation=Union[Version, NoneType], required=False), 'version_number': FieldInfo(annotation=Union[int, NoneType], required=False), 'format_version': FieldInfo(annotation=Literal['0.4.10'], required=False, default='0.4.10'), 'type': FieldInfo(annotation=Literal['model'], required=False, default='model'), 'id': FieldInfo(annotation=Union[ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]], NoneType], required=False), 'documentation': FieldInfo(annotation=Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], required=True, examples=['https://raw.githubusercontent.com/bioimage-io/spec-bioimage-io/main/example_descriptions/models/unet2d_nuclei_broad/README.md', 'README.md'], metadata=[AfterValidator(func=<function wo_special_file_name>), PlainSerializer(func=<function _package>, return_type=PydanticUndefined, when_used='unless-none')]), 'inputs': FieldInfo(annotation=List[InputTensorDescr], required=True, metadata=[MinLen(min_length=1)]), 'license': FieldInfo(annotation=Union[LicenseId, str], required=True, examples=['CC-BY-4.0', 'MIT', 'BSD-2-Clause'], metadata=[AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=30, msg="Unknown license id '{value}'.", context={'typ': <class 'bioimageio.spec._internal.license_id.LicenseId'>})]), 'outputs': FieldInfo(annotation=List[OutputTensorDescr], required=True, metadata=[MinLen(min_length=1)]), 'packaged_by': FieldInfo(annotation=List[Author], required=False, default_factory=list), 'parent': FieldInfo(annotation=Union[LinkedModel, NoneType], required=False), 'run_mode': FieldInfo(annotation=Union[RunMode, NoneType], required=False), 'sample_inputs': FieldInfo(annotation=List[Annotated[Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator, PlainSerializer]], required=False, default_factory=list), 'sample_outputs': FieldInfo(annotation=List[Annotated[Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator, PlainSerializer]], required=False, default_factory=list), 'test_inputs': FieldInfo(annotation=List[Annotated[Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator, PlainSerializer, WithSuffix]], required=True, metadata=[MinLen(min_length=1)]), 'test_outputs': FieldInfo(annotation=List[Annotated[Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator, PlainSerializer, WithSuffix]], required=True, metadata=[MinLen(min_length=1)]), 'timestamp': FieldInfo(annotation=Datetime, required=True), 'training_data': FieldInfo(annotation=Union[LinkedDataset, DatasetDescr, NoneType], required=False), 'weights': FieldInfo(annotation=WeightsDescr, required=True)}"}, "bioimageio.spec.model.v0_4.ModelDescr.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_4.ModelDescr.model_computed_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ModelDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5": {"fullname": "bioimageio.spec.model.v0_5", "modulename": "bioimageio.spec.model.v0_5", "kind": "module", "doc": "

\n"}, "bioimageio.spec.model.v0_5.SpaceUnit": {"fullname": "bioimageio.spec.model.v0_5.SpaceUnit", "modulename": "bioimageio.spec.model.v0_5", "qualname": "SpaceUnit", "kind": "variable", "doc": "

\n", "default_value": "typing.Literal['attometer', 'angstrom', 'centimeter', 'decimeter', 'exameter', 'femtometer', 'foot', 'gigameter', 'hectometer', 'inch', 'kilometer', 'megameter', 'meter', 'micrometer', 'mile', 'millimeter', 'nanometer', 'parsec', 'petameter', 'picometer', 'terameter', 'yard', 'yoctometer', 'yottameter', 'zeptometer', 'zettameter']"}, "bioimageio.spec.model.v0_5.TimeUnit": {"fullname": "bioimageio.spec.model.v0_5.TimeUnit", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TimeUnit", "kind": "variable", "doc": "

\n", "default_value": "typing.Literal['attosecond', 'centisecond', 'day', 'decisecond', 'exasecond', 'femtosecond', 'gigasecond', 'hectosecond', 'hour', 'kilosecond', 'megasecond', 'microsecond', 'millisecond', 'minute', 'nanosecond', 'petasecond', 'picosecond', 'second', 'terasecond', 'yoctosecond', 'yottasecond', 'zeptosecond', 'zettasecond']"}, "bioimageio.spec.model.v0_5.AxisType": {"fullname": "bioimageio.spec.model.v0_5.AxisType", "modulename": "bioimageio.spec.model.v0_5", "qualname": "AxisType", "kind": "variable", "doc": "

\n", "default_value": "typing.Literal['batch', 'channel', 'index', 'time', 'space']"}, "bioimageio.spec.model.v0_5.TensorId": {"fullname": "bioimageio.spec.model.v0_5.TensorId", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TensorId", "kind": "variable", "doc": "

\n", "default_value": "<class 'bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, AfterValidator, AfterValidator, Annotated[TypeVar, Predicate], MaxLen]]'>"}, "bioimageio.spec.model.v0_5.AxisId": {"fullname": "bioimageio.spec.model.v0_5.AxisId", "modulename": "bioimageio.spec.model.v0_5", "qualname": "AxisId", "kind": "class", "doc": "

str(object='') -> str\nstr(bytes_or_buffer[, encoding[, errors]]) -> str

\n\n

Create a new string object from the given object. If encoding or\nerrors is specified, then the object must expose a data buffer\nthat will be decoded using the given encoding and error handler.\nOtherwise, returns the result of object.__str__() (if defined)\nor repr(object).\nencoding defaults to sys.getdefaultencoding().\nerrors defaults to 'strict'.

\n", "bases": "builtins.str"}, "bioimageio.spec.model.v0_5.AxisId.root_model": {"fullname": "bioimageio.spec.model.v0_5.AxisId.root_model", "modulename": "bioimageio.spec.model.v0_5", "qualname": "AxisId.root_model", "kind": "variable", "doc": "

\n", "default_value": "<class 'bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, AfterValidator, AfterValidator, Annotated[TypeVar, Predicate], MaxLen]]'>"}, "bioimageio.spec.model.v0_5.NonBatchAxisId": {"fullname": "bioimageio.spec.model.v0_5.NonBatchAxisId", "modulename": "bioimageio.spec.model.v0_5", "qualname": "NonBatchAxisId", "kind": "variable", "doc": "

\n", "default_value": "typing.Annotated[bioimageio.spec.model.v0_5.AxisId, Predicate(func=<function <lambda>>)]"}, "bioimageio.spec.model.v0_5.PostprocessingId": {"fullname": "bioimageio.spec.model.v0_5.PostprocessingId", "modulename": "bioimageio.spec.model.v0_5", "qualname": "PostprocessingId", "kind": "variable", "doc": "

\n", "default_value": "typing.Literal['binarize', 'clip', 'ensure_dtype', 'fixed_zero_mean_unit_variance', 'scale_linear', 'scale_mean_variance', 'scale_range', 'sigmoid', 'zero_mean_unit_variance']"}, "bioimageio.spec.model.v0_5.PreprocessingId": {"fullname": "bioimageio.spec.model.v0_5.PreprocessingId", "modulename": "bioimageio.spec.model.v0_5", "qualname": "PreprocessingId", "kind": "variable", "doc": "

\n", "default_value": "typing.Literal['binarize', 'clip', 'ensure_dtype', 'scale_linear', 'sigmoid', 'zero_mean_unit_variance', 'scale_range']"}, "bioimageio.spec.model.v0_5.SAME_AS_TYPE": {"fullname": "bioimageio.spec.model.v0_5.SAME_AS_TYPE", "modulename": "bioimageio.spec.model.v0_5", "qualname": "SAME_AS_TYPE", "kind": "variable", "doc": "

\n", "default_value": "'<same as type>'"}, "bioimageio.spec.model.v0_5.ParameterizedSize": {"fullname": "bioimageio.spec.model.v0_5.ParameterizedSize", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ParameterizedSize", "kind": "class", "doc": "

Describes a range of valid tensor axis sizes as size = min + n*step.

\n", "bases": "bioimageio.spec._internal.node.Node"}, "bioimageio.spec.model.v0_5.ParameterizedSize.N": {"fullname": "bioimageio.spec.model.v0_5.ParameterizedSize.N", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ParameterizedSize.N", "kind": "variable", "doc": "

integer to parameterize this axis

\n", "annotation": ": ClassVar[Type[int]]", "default_value": "<class 'int'>"}, "bioimageio.spec.model.v0_5.ParameterizedSize.min": {"fullname": "bioimageio.spec.model.v0_5.ParameterizedSize.min", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ParameterizedSize.min", "kind": "variable", "doc": "

\n", "annotation": ": Annotated[int, Gt(gt=0)]"}, "bioimageio.spec.model.v0_5.ParameterizedSize.step": {"fullname": "bioimageio.spec.model.v0_5.ParameterizedSize.step", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ParameterizedSize.step", "kind": "variable", "doc": "

\n", "annotation": ": Annotated[int, Gt(gt=0)]"}, "bioimageio.spec.model.v0_5.ParameterizedSize.validate_size": {"fullname": "bioimageio.spec.model.v0_5.ParameterizedSize.validate_size", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ParameterizedSize.validate_size", "kind": "function", "doc": "

\n", "signature": "(self, size: int) -> int:", "funcdef": "def"}, "bioimageio.spec.model.v0_5.ParameterizedSize.get_size": {"fullname": "bioimageio.spec.model.v0_5.ParameterizedSize.get_size", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ParameterizedSize.get_size", "kind": "function", "doc": "

\n", "signature": "(self, n: int) -> int:", "funcdef": "def"}, "bioimageio.spec.model.v0_5.ParameterizedSize.model_config": {"fullname": "bioimageio.spec.model.v0_5.ParameterizedSize.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ParameterizedSize.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.ParameterizedSize.model_fields": {"fullname": "bioimageio.spec.model.v0_5.ParameterizedSize.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ParameterizedSize.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'min': FieldInfo(annotation=int, required=True, metadata=[Gt(gt=0)]), 'step': FieldInfo(annotation=int, required=True, metadata=[Gt(gt=0)])}"}, "bioimageio.spec.model.v0_5.ParameterizedSize.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.ParameterizedSize.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ParameterizedSize.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.ARBITRARY_SIZE": {"fullname": "bioimageio.spec.model.v0_5.ARBITRARY_SIZE", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ARBITRARY_SIZE", "kind": "variable", "doc": "

\n", "default_value": "ParameterizedSize(min=1, step=1)"}, "bioimageio.spec.model.v0_5.DataDependentSize": {"fullname": "bioimageio.spec.model.v0_5.DataDependentSize", "modulename": "bioimageio.spec.model.v0_5", "qualname": "DataDependentSize", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "bioimageio.spec._internal.node.Node"}, "bioimageio.spec.model.v0_5.DataDependentSize.min": {"fullname": "bioimageio.spec.model.v0_5.DataDependentSize.min", "modulename": "bioimageio.spec.model.v0_5", "qualname": "DataDependentSize.min", "kind": "variable", "doc": "

\n", "annotation": ": Annotated[int, Gt(gt=0)]"}, "bioimageio.spec.model.v0_5.DataDependentSize.max": {"fullname": "bioimageio.spec.model.v0_5.DataDependentSize.max", "modulename": "bioimageio.spec.model.v0_5", "qualname": "DataDependentSize.max", "kind": "variable", "doc": "

\n", "annotation": ": Annotated[Optional[int], Gt(gt=1)]"}, "bioimageio.spec.model.v0_5.DataDependentSize.validate_size": {"fullname": "bioimageio.spec.model.v0_5.DataDependentSize.validate_size", "modulename": "bioimageio.spec.model.v0_5", "qualname": "DataDependentSize.validate_size", "kind": "function", "doc": "

\n", "signature": "(self, size: int) -> int:", "funcdef": "def"}, "bioimageio.spec.model.v0_5.DataDependentSize.model_config": {"fullname": "bioimageio.spec.model.v0_5.DataDependentSize.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "DataDependentSize.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.DataDependentSize.model_fields": {"fullname": "bioimageio.spec.model.v0_5.DataDependentSize.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "DataDependentSize.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'min': FieldInfo(annotation=int, required=False, default=1, metadata=[Gt(gt=0)]), 'max': FieldInfo(annotation=Union[int, NoneType], required=False, metadata=[Gt(gt=1)])}"}, "bioimageio.spec.model.v0_5.DataDependentSize.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.DataDependentSize.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "DataDependentSize.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.SizeReference": {"fullname": "bioimageio.spec.model.v0_5.SizeReference", "modulename": "bioimageio.spec.model.v0_5", "qualname": "SizeReference", "kind": "class", "doc": "

A tensor axis size (extent in pixels/frames) defined in relation to a reference axis.

\n\n

axis.size = reference.size * reference.scale / axis.scale + offset

\n\n

note:

\n\n
    \n
  1. The axis and the referenced axis need to have the same unit (or no unit).
  2. \n
  3. Batch axes may not be referenced.
  4. \n
  5. Fractions are rounded down.
  6. \n
\n\n

example:\nAn unisotropic input image of wh=10049 pixels depicts a phsical space of 200196mm\u00b2.\nLet's assume that we want to express the image height h in relation to its width w\ninstead of only accepting input images of exactly 10049 pixels\n(for example to express a range of valid image shapes by parametrizing w, see ParameterizedSize).

\n\n
\n
>>> w = SpaceInputAxis(id=AxisId("w"), size=100, unit="millimeter", scale=2)\n>>> h = SpaceInputAxis(\n...     id=AxisId("h"),\n...     size=SizeReference(tensor_id=TensorId("input"), axis_id=AxisId("w"), offset=-1),\n...     unit="millimeter",\n...     scale=4,\n... )\n>>> print(h.size.compute(h, w))\n49\n
\n
\n\n

-> h = w * w.scale / h.scale + offset = 100 * 2mm / 4mm - 1 = 49

\n", "bases": "bioimageio.spec._internal.node.Node"}, "bioimageio.spec.model.v0_5.SizeReference.tensor_id": {"fullname": "bioimageio.spec.model.v0_5.SizeReference.tensor_id", "modulename": "bioimageio.spec.model.v0_5", "qualname": "SizeReference.tensor_id", "kind": "variable", "doc": "

tensor id of the reference axis

\n", "annotation": ": bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, AfterValidator, AfterValidator, Annotated[TypeVar, Predicate], MaxLen]]"}, "bioimageio.spec.model.v0_5.SizeReference.axis_id": {"fullname": "bioimageio.spec.model.v0_5.SizeReference.axis_id", "modulename": "bioimageio.spec.model.v0_5", "qualname": "SizeReference.axis_id", "kind": "variable", "doc": "

axis id of the reference axis

\n", "annotation": ": bioimageio.spec.model.v0_5.AxisId"}, "bioimageio.spec.model.v0_5.SizeReference.offset": {"fullname": "bioimageio.spec.model.v0_5.SizeReference.offset", "modulename": "bioimageio.spec.model.v0_5", "qualname": "SizeReference.offset", "kind": "variable", "doc": "

\n", "annotation": ": int"}, "bioimageio.spec.model.v0_5.SizeReference.get_size": {"fullname": "bioimageio.spec.model.v0_5.SizeReference.get_size", "modulename": "bioimageio.spec.model.v0_5", "qualname": "SizeReference.get_size", "kind": "function", "doc": "

helper method to compute concrete size for a given axis and its reference axis.\nIf the reference axis is parameterized, n is used to compute the concrete size of it, see ParameterizedSize.

\n", "signature": "(\tself,\taxis: Union[bioimageio.spec.model.v0_5.ChannelAxis, bioimageio.spec.model.v0_5.IndexInputAxis, bioimageio.spec.model.v0_5.IndexOutputAxis, bioimageio.spec.model.v0_5.TimeInputAxis, bioimageio.spec.model.v0_5.SpaceInputAxis, bioimageio.spec.model.v0_5.TimeOutputAxis, bioimageio.spec.model.v0_5.SpaceOutputAxis],\tref_axis: Union[bioimageio.spec.model.v0_5.ChannelAxis, bioimageio.spec.model.v0_5.IndexInputAxis, bioimageio.spec.model.v0_5.IndexOutputAxis, bioimageio.spec.model.v0_5.TimeInputAxis, bioimageio.spec.model.v0_5.SpaceInputAxis, bioimageio.spec.model.v0_5.TimeOutputAxis, bioimageio.spec.model.v0_5.SpaceOutputAxis],\tn: int):", "funcdef": "def"}, "bioimageio.spec.model.v0_5.SizeReference.model_config": {"fullname": "bioimageio.spec.model.v0_5.SizeReference.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "SizeReference.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.SizeReference.model_fields": {"fullname": "bioimageio.spec.model.v0_5.SizeReference.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "SizeReference.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'tensor_id': FieldInfo(annotation=ValidatedString[Annotated[str, MinLen, AfterValidator, AfterValidator, Annotated[TypeVar, Predicate], MaxLen]], required=True), 'axis_id': FieldInfo(annotation=AxisId, required=True), 'offset': FieldInfo(annotation=int, required=False, default=0)}"}, "bioimageio.spec.model.v0_5.SizeReference.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.SizeReference.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "SizeReference.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.AxisBase": {"fullname": "bioimageio.spec.model.v0_5.AxisBase", "modulename": "bioimageio.spec.model.v0_5", "qualname": "AxisBase", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "bioimageio.spec._internal.common_nodes.NodeWithExplicitlySetFields"}, "bioimageio.spec.model.v0_5.AxisBase.fields_to_set_explicitly": {"fullname": "bioimageio.spec.model.v0_5.AxisBase.fields_to_set_explicitly", "modulename": "bioimageio.spec.model.v0_5", "qualname": "AxisBase.fields_to_set_explicitly", "kind": "variable", "doc": "

set set these fields explicitly with their default value if they are not set,\nsuch that they are always included even when dumping with 'exlude_unset'

\n", "annotation": ": ClassVar[FrozenSet[LiteralString]]", "default_value": "frozenset({'type'})"}, "bioimageio.spec.model.v0_5.AxisBase.id": {"fullname": "bioimageio.spec.model.v0_5.AxisBase.id", "modulename": "bioimageio.spec.model.v0_5", "qualname": "AxisBase.id", "kind": "variable", "doc": "

An axis id unique across all axes of one tensor.

\n", "annotation": ": bioimageio.spec.model.v0_5.AxisId"}, "bioimageio.spec.model.v0_5.AxisBase.description": {"fullname": "bioimageio.spec.model.v0_5.AxisBase.description", "modulename": "bioimageio.spec.model.v0_5", "qualname": "AxisBase.description", "kind": "variable", "doc": "

\n", "annotation": ": Annotated[str, MaxLen(max_length=128)]"}, "bioimageio.spec.model.v0_5.AxisBase.model_config": {"fullname": "bioimageio.spec.model.v0_5.AxisBase.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "AxisBase.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.AxisBase.model_fields": {"fullname": "bioimageio.spec.model.v0_5.AxisBase.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "AxisBase.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'id': FieldInfo(annotation=AxisId, required=True), 'description': FieldInfo(annotation=str, required=False, default='', metadata=[MaxLen(max_length=128)])}"}, "bioimageio.spec.model.v0_5.AxisBase.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.AxisBase.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "AxisBase.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.WithHalo": {"fullname": "bioimageio.spec.model.v0_5.WithHalo", "modulename": "bioimageio.spec.model.v0_5", "qualname": "WithHalo", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "bioimageio.spec._internal.node.Node"}, "bioimageio.spec.model.v0_5.WithHalo.halo": {"fullname": "bioimageio.spec.model.v0_5.WithHalo.halo", "modulename": "bioimageio.spec.model.v0_5", "qualname": "WithHalo.halo", "kind": "variable", "doc": "

The halo should be cropped from the output tensor to avoid boundary effects.\nIt is to be cropped from both sides, i.e. size_after_crop = size - 2 * halo.\nTo document a halo that is already cropped by the model use size.offset instead.

\n", "annotation": ": Annotated[int, Ge(ge=0)]"}, "bioimageio.spec.model.v0_5.WithHalo.model_config": {"fullname": "bioimageio.spec.model.v0_5.WithHalo.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "WithHalo.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.WithHalo.model_fields": {"fullname": "bioimageio.spec.model.v0_5.WithHalo.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "WithHalo.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'halo': FieldInfo(annotation=int, required=False, default=0, metadata=[Ge(ge=0)])}"}, "bioimageio.spec.model.v0_5.WithHalo.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.WithHalo.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "WithHalo.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.BatchAxis": {"fullname": "bioimageio.spec.model.v0_5.BatchAxis", "modulename": "bioimageio.spec.model.v0_5", "qualname": "BatchAxis", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "AxisBase"}, "bioimageio.spec.model.v0_5.BatchAxis.type": {"fullname": "bioimageio.spec.model.v0_5.BatchAxis.type", "modulename": "bioimageio.spec.model.v0_5", "qualname": "BatchAxis.type", "kind": "variable", "doc": "

\n", "annotation": ": Literal['batch']"}, "bioimageio.spec.model.v0_5.BatchAxis.id": {"fullname": "bioimageio.spec.model.v0_5.BatchAxis.id", "modulename": "bioimageio.spec.model.v0_5", "qualname": "BatchAxis.id", "kind": "variable", "doc": "

An axis id unique across all axes of one tensor.

\n", "annotation": ": Annotated[bioimageio.spec.model.v0_5.AxisId, Predicate(func=<function <lambda> at 0x7f469c24a200>)]"}, "bioimageio.spec.model.v0_5.BatchAxis.size": {"fullname": "bioimageio.spec.model.v0_5.BatchAxis.size", "modulename": "bioimageio.spec.model.v0_5", "qualname": "BatchAxis.size", "kind": "variable", "doc": "

The batch size may be fixed to 1,\notherwise (the default) it may be chosen arbitrarily depending on available memory

\n", "annotation": ": Optional[Literal[1]]"}, "bioimageio.spec.model.v0_5.BatchAxis.scale": {"fullname": "bioimageio.spec.model.v0_5.BatchAxis.scale", "modulename": "bioimageio.spec.model.v0_5", "qualname": "BatchAxis.scale", "kind": "variable", "doc": "

\n"}, "bioimageio.spec.model.v0_5.BatchAxis.unit": {"fullname": "bioimageio.spec.model.v0_5.BatchAxis.unit", "modulename": "bioimageio.spec.model.v0_5", "qualname": "BatchAxis.unit", "kind": "variable", "doc": "

\n"}, "bioimageio.spec.model.v0_5.BatchAxis.model_config": {"fullname": "bioimageio.spec.model.v0_5.BatchAxis.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "BatchAxis.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.BatchAxis.model_fields": {"fullname": "bioimageio.spec.model.v0_5.BatchAxis.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "BatchAxis.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'id': FieldInfo(annotation=AxisId, required=False, default='batch', metadata=[Predicate(func=<function <lambda>>)]), 'description': FieldInfo(annotation=str, required=False, default='', metadata=[MaxLen(max_length=128)]), 'type': FieldInfo(annotation=Literal['batch'], required=False, default='batch'), 'size': FieldInfo(annotation=Union[Literal[1], NoneType], required=False)}"}, "bioimageio.spec.model.v0_5.BatchAxis.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.BatchAxis.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "BatchAxis.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.ChannelAxis": {"fullname": "bioimageio.spec.model.v0_5.ChannelAxis", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ChannelAxis", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "AxisBase"}, "bioimageio.spec.model.v0_5.ChannelAxis.type": {"fullname": "bioimageio.spec.model.v0_5.ChannelAxis.type", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ChannelAxis.type", "kind": "variable", "doc": "

\n", "annotation": ": Literal['channel']"}, "bioimageio.spec.model.v0_5.ChannelAxis.id": {"fullname": "bioimageio.spec.model.v0_5.ChannelAxis.id", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ChannelAxis.id", "kind": "variable", "doc": "

An axis id unique across all axes of one tensor.

\n", "annotation": ": Annotated[bioimageio.spec.model.v0_5.AxisId, Predicate(func=<function <lambda> at 0x7f469e0377e0>)]"}, "bioimageio.spec.model.v0_5.ChannelAxis.channel_names": {"fullname": "bioimageio.spec.model.v0_5.ChannelAxis.channel_names", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ChannelAxis.channel_names", "kind": "variable", "doc": "

\n", "annotation": ": List[bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, AfterValidator, AfterValidator]]]"}, "bioimageio.spec.model.v0_5.ChannelAxis.size": {"fullname": "bioimageio.spec.model.v0_5.ChannelAxis.size", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ChannelAxis.size", "kind": "variable", "doc": "

\n", "annotation": ": int"}, "bioimageio.spec.model.v0_5.ChannelAxis.scale": {"fullname": "bioimageio.spec.model.v0_5.ChannelAxis.scale", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ChannelAxis.scale", "kind": "variable", "doc": "

\n", "annotation": ": float"}, "bioimageio.spec.model.v0_5.ChannelAxis.unit": {"fullname": "bioimageio.spec.model.v0_5.ChannelAxis.unit", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ChannelAxis.unit", "kind": "variable", "doc": "

\n"}, "bioimageio.spec.model.v0_5.ChannelAxis.model_config": {"fullname": "bioimageio.spec.model.v0_5.ChannelAxis.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ChannelAxis.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.ChannelAxis.model_fields": {"fullname": "bioimageio.spec.model.v0_5.ChannelAxis.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ChannelAxis.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'id': FieldInfo(annotation=AxisId, required=False, default='channel', metadata=[Predicate(func=<function <lambda>>)]), 'description': FieldInfo(annotation=str, required=False, default='', metadata=[MaxLen(max_length=128)]), 'type': FieldInfo(annotation=Literal['channel'], required=False, default='channel'), 'channel_names': FieldInfo(annotation=List[ValidatedString[Annotated[str, MinLen, AfterValidator, AfterValidator]]], required=True)}"}, "bioimageio.spec.model.v0_5.ChannelAxis.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.ChannelAxis.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ChannelAxis.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.IndexAxisBase": {"fullname": "bioimageio.spec.model.v0_5.IndexAxisBase", "modulename": "bioimageio.spec.model.v0_5", "qualname": "IndexAxisBase", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "AxisBase"}, "bioimageio.spec.model.v0_5.IndexAxisBase.type": {"fullname": "bioimageio.spec.model.v0_5.IndexAxisBase.type", "modulename": "bioimageio.spec.model.v0_5", "qualname": "IndexAxisBase.type", "kind": "variable", "doc": "

\n", "annotation": ": Literal['index']"}, "bioimageio.spec.model.v0_5.IndexAxisBase.id": {"fullname": "bioimageio.spec.model.v0_5.IndexAxisBase.id", "modulename": "bioimageio.spec.model.v0_5", "qualname": "IndexAxisBase.id", "kind": "variable", "doc": "

An axis id unique across all axes of one tensor.

\n", "annotation": ": Annotated[bioimageio.spec.model.v0_5.AxisId, Predicate(func=<function <lambda> at 0x7f469e0377e0>)]"}, "bioimageio.spec.model.v0_5.IndexAxisBase.scale": {"fullname": "bioimageio.spec.model.v0_5.IndexAxisBase.scale", "modulename": "bioimageio.spec.model.v0_5", "qualname": "IndexAxisBase.scale", "kind": "variable", "doc": "

\n", "annotation": ": float"}, "bioimageio.spec.model.v0_5.IndexAxisBase.unit": {"fullname": "bioimageio.spec.model.v0_5.IndexAxisBase.unit", "modulename": "bioimageio.spec.model.v0_5", "qualname": "IndexAxisBase.unit", "kind": "variable", "doc": "

\n"}, "bioimageio.spec.model.v0_5.IndexAxisBase.model_config": {"fullname": "bioimageio.spec.model.v0_5.IndexAxisBase.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "IndexAxisBase.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.IndexAxisBase.model_fields": {"fullname": "bioimageio.spec.model.v0_5.IndexAxisBase.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "IndexAxisBase.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'id': FieldInfo(annotation=AxisId, required=False, default='index', metadata=[Predicate(func=<function <lambda>>)]), 'description': FieldInfo(annotation=str, required=False, default='', metadata=[MaxLen(max_length=128)]), 'type': FieldInfo(annotation=Literal['index'], required=False, default='index')}"}, "bioimageio.spec.model.v0_5.IndexAxisBase.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.IndexAxisBase.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "IndexAxisBase.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.IndexInputAxis": {"fullname": "bioimageio.spec.model.v0_5.IndexInputAxis", "modulename": "bioimageio.spec.model.v0_5", "qualname": "IndexInputAxis", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "IndexAxisBase, _WithInputAxisSize"}, "bioimageio.spec.model.v0_5.IndexInputAxis.model_config": {"fullname": "bioimageio.spec.model.v0_5.IndexInputAxis.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "IndexInputAxis.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.IndexInputAxis.model_fields": {"fullname": "bioimageio.spec.model.v0_5.IndexInputAxis.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "IndexInputAxis.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'size': FieldInfo(annotation=Union[Annotated[int, Gt], ParameterizedSize, SizeReference], required=True, examples=[10, {'min': 32, 'step': 16}, {'tensor_id': 't', 'axis_id': 'a', 'offset': 5}]), 'id': FieldInfo(annotation=AxisId, required=False, default='index', metadata=[Predicate(func=<function <lambda>>)]), 'description': FieldInfo(annotation=str, required=False, default='', metadata=[MaxLen(max_length=128)]), 'type': FieldInfo(annotation=Literal['index'], required=False, default='index')}"}, "bioimageio.spec.model.v0_5.IndexInputAxis.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.IndexInputAxis.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "IndexInputAxis.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.IndexOutputAxis": {"fullname": "bioimageio.spec.model.v0_5.IndexOutputAxis", "modulename": "bioimageio.spec.model.v0_5", "qualname": "IndexOutputAxis", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "IndexAxisBase"}, "bioimageio.spec.model.v0_5.IndexOutputAxis.size": {"fullname": "bioimageio.spec.model.v0_5.IndexOutputAxis.size", "modulename": "bioimageio.spec.model.v0_5", "qualname": "IndexOutputAxis.size", "kind": "variable", "doc": "

The size/length of this axis can be specified as

\n\n
    \n
  • fixed integer
  • \n
  • reference to another axis with an optional offset (SizeReference)
  • \n
  • data dependent size using DataDependentSize (size is only known after model inference)
  • \n
\n", "annotation": ": Annotated[Union[Annotated[int, Gt(gt=0)], bioimageio.spec.model.v0_5.SizeReference, bioimageio.spec.model.v0_5.DataDependentSize], FieldInfo(annotation=NoneType, required=True, examples=[10, {'tensor_id': 't', 'axis_id': 'a', 'offset': 5}])]"}, "bioimageio.spec.model.v0_5.IndexOutputAxis.model_config": {"fullname": "bioimageio.spec.model.v0_5.IndexOutputAxis.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "IndexOutputAxis.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.IndexOutputAxis.model_fields": {"fullname": "bioimageio.spec.model.v0_5.IndexOutputAxis.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "IndexOutputAxis.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'id': FieldInfo(annotation=AxisId, required=False, default='index', metadata=[Predicate(func=<function <lambda>>)]), 'description': FieldInfo(annotation=str, required=False, default='', metadata=[MaxLen(max_length=128)]), 'type': FieldInfo(annotation=Literal['index'], required=False, default='index'), 'size': FieldInfo(annotation=Union[Annotated[int, Gt], SizeReference, DataDependentSize], required=True, examples=[10, {'tensor_id': 't', 'axis_id': 'a', 'offset': 5}])}"}, "bioimageio.spec.model.v0_5.IndexOutputAxis.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.IndexOutputAxis.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "IndexOutputAxis.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.TimeAxisBase": {"fullname": "bioimageio.spec.model.v0_5.TimeAxisBase", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TimeAxisBase", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "AxisBase"}, "bioimageio.spec.model.v0_5.TimeAxisBase.type": {"fullname": "bioimageio.spec.model.v0_5.TimeAxisBase.type", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TimeAxisBase.type", "kind": "variable", "doc": "

\n", "annotation": ": Literal['time']"}, "bioimageio.spec.model.v0_5.TimeAxisBase.id": {"fullname": "bioimageio.spec.model.v0_5.TimeAxisBase.id", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TimeAxisBase.id", "kind": "variable", "doc": "

An axis id unique across all axes of one tensor.

\n", "annotation": ": Annotated[bioimageio.spec.model.v0_5.AxisId, Predicate(func=<function <lambda> at 0x7f469e0377e0>)]"}, "bioimageio.spec.model.v0_5.TimeAxisBase.unit": {"fullname": "bioimageio.spec.model.v0_5.TimeAxisBase.unit", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TimeAxisBase.unit", "kind": "variable", "doc": "

\n", "annotation": ": Optional[Literal['attosecond', 'centisecond', 'day', 'decisecond', 'exasecond', 'femtosecond', 'gigasecond', 'hectosecond', 'hour', 'kilosecond', 'megasecond', 'microsecond', 'millisecond', 'minute', 'nanosecond', 'petasecond', 'picosecond', 'second', 'terasecond', 'yoctosecond', 'yottasecond', 'zeptosecond', 'zettasecond']]"}, "bioimageio.spec.model.v0_5.TimeAxisBase.scale": {"fullname": "bioimageio.spec.model.v0_5.TimeAxisBase.scale", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TimeAxisBase.scale", "kind": "variable", "doc": "

\n", "annotation": ": Annotated[float, Gt(gt=0)]"}, "bioimageio.spec.model.v0_5.TimeAxisBase.model_config": {"fullname": "bioimageio.spec.model.v0_5.TimeAxisBase.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TimeAxisBase.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.TimeAxisBase.model_fields": {"fullname": "bioimageio.spec.model.v0_5.TimeAxisBase.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TimeAxisBase.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'id': FieldInfo(annotation=AxisId, required=False, default='time', metadata=[Predicate(func=<function <lambda>>)]), 'description': FieldInfo(annotation=str, required=False, default='', metadata=[MaxLen(max_length=128)]), 'type': FieldInfo(annotation=Literal['time'], required=False, default='time'), 'unit': FieldInfo(annotation=Union[Literal['attosecond', 'centisecond', 'day', 'decisecond', 'exasecond', 'femtosecond', 'gigasecond', 'hectosecond', 'hour', 'kilosecond', 'megasecond', 'microsecond', 'millisecond', 'minute', 'nanosecond', 'petasecond', 'picosecond', 'second', 'terasecond', 'yoctosecond', 'yottasecond', 'zeptosecond', 'zettasecond'], NoneType], required=False), 'scale': FieldInfo(annotation=float, required=False, default=1.0, metadata=[Gt(gt=0)])}"}, "bioimageio.spec.model.v0_5.TimeAxisBase.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.TimeAxisBase.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TimeAxisBase.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.TimeInputAxis": {"fullname": "bioimageio.spec.model.v0_5.TimeInputAxis", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TimeInputAxis", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "TimeAxisBase, _WithInputAxisSize"}, "bioimageio.spec.model.v0_5.TimeInputAxis.model_config": {"fullname": "bioimageio.spec.model.v0_5.TimeInputAxis.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TimeInputAxis.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.TimeInputAxis.model_fields": {"fullname": "bioimageio.spec.model.v0_5.TimeInputAxis.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TimeInputAxis.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'size': FieldInfo(annotation=Union[Annotated[int, Gt], ParameterizedSize, SizeReference], required=True, examples=[10, {'min': 32, 'step': 16}, {'tensor_id': 't', 'axis_id': 'a', 'offset': 5}]), 'id': FieldInfo(annotation=AxisId, required=False, default='time', metadata=[Predicate(func=<function <lambda>>)]), 'description': FieldInfo(annotation=str, required=False, default='', metadata=[MaxLen(max_length=128)]), 'type': FieldInfo(annotation=Literal['time'], required=False, default='time'), 'unit': FieldInfo(annotation=Union[Literal['attosecond', 'centisecond', 'day', 'decisecond', 'exasecond', 'femtosecond', 'gigasecond', 'hectosecond', 'hour', 'kilosecond', 'megasecond', 'microsecond', 'millisecond', 'minute', 'nanosecond', 'petasecond', 'picosecond', 'second', 'terasecond', 'yoctosecond', 'yottasecond', 'zeptosecond', 'zettasecond'], NoneType], required=False), 'scale': FieldInfo(annotation=float, required=False, default=1.0, metadata=[Gt(gt=0)])}"}, "bioimageio.spec.model.v0_5.TimeInputAxis.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.TimeInputAxis.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TimeInputAxis.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.SpaceAxisBase": {"fullname": "bioimageio.spec.model.v0_5.SpaceAxisBase", "modulename": "bioimageio.spec.model.v0_5", "qualname": "SpaceAxisBase", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "AxisBase"}, "bioimageio.spec.model.v0_5.SpaceAxisBase.type": {"fullname": "bioimageio.spec.model.v0_5.SpaceAxisBase.type", "modulename": "bioimageio.spec.model.v0_5", "qualname": "SpaceAxisBase.type", "kind": "variable", "doc": "

\n", "annotation": ": Literal['space']"}, "bioimageio.spec.model.v0_5.SpaceAxisBase.id": {"fullname": "bioimageio.spec.model.v0_5.SpaceAxisBase.id", "modulename": "bioimageio.spec.model.v0_5", "qualname": "SpaceAxisBase.id", "kind": "variable", "doc": "

An axis id unique across all axes of one tensor.

\n", "annotation": ": Annotated[bioimageio.spec.model.v0_5.AxisId, Predicate(func=<function <lambda> at 0x7f469e0377e0>), FieldInfo(annotation=NoneType, required=True, examples=['x', 'y', 'z'])]"}, "bioimageio.spec.model.v0_5.SpaceAxisBase.unit": {"fullname": "bioimageio.spec.model.v0_5.SpaceAxisBase.unit", "modulename": "bioimageio.spec.model.v0_5", "qualname": "SpaceAxisBase.unit", "kind": "variable", "doc": "

\n", "annotation": ": Optional[Literal['attometer', 'angstrom', 'centimeter', 'decimeter', 'exameter', 'femtometer', 'foot', 'gigameter', 'hectometer', 'inch', 'kilometer', 'megameter', 'meter', 'micrometer', 'mile', 'millimeter', 'nanometer', 'parsec', 'petameter', 'picometer', 'terameter', 'yard', 'yoctometer', 'yottameter', 'zeptometer', 'zettameter']]"}, "bioimageio.spec.model.v0_5.SpaceAxisBase.scale": {"fullname": "bioimageio.spec.model.v0_5.SpaceAxisBase.scale", "modulename": "bioimageio.spec.model.v0_5", "qualname": "SpaceAxisBase.scale", "kind": "variable", "doc": "

\n", "annotation": ": Annotated[float, Gt(gt=0)]"}, "bioimageio.spec.model.v0_5.SpaceAxisBase.model_config": {"fullname": "bioimageio.spec.model.v0_5.SpaceAxisBase.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "SpaceAxisBase.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.SpaceAxisBase.model_fields": {"fullname": "bioimageio.spec.model.v0_5.SpaceAxisBase.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "SpaceAxisBase.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'id': FieldInfo(annotation=AxisId, required=False, default='x', examples=['x', 'y', 'z'], metadata=[Predicate(func=<function <lambda>>)]), 'description': FieldInfo(annotation=str, required=False, default='', metadata=[MaxLen(max_length=128)]), 'type': FieldInfo(annotation=Literal['space'], required=False, default='space'), 'unit': FieldInfo(annotation=Union[Literal['attometer', 'angstrom', 'centimeter', 'decimeter', 'exameter', 'femtometer', 'foot', 'gigameter', 'hectometer', 'inch', 'kilometer', 'megameter', 'meter', 'micrometer', 'mile', 'millimeter', 'nanometer', 'parsec', 'petameter', 'picometer', 'terameter', 'yard', 'yoctometer', 'yottameter', 'zeptometer', 'zettameter'], NoneType], required=False), 'scale': FieldInfo(annotation=float, required=False, default=1.0, metadata=[Gt(gt=0)])}"}, "bioimageio.spec.model.v0_5.SpaceAxisBase.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.SpaceAxisBase.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "SpaceAxisBase.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.SpaceInputAxis": {"fullname": "bioimageio.spec.model.v0_5.SpaceInputAxis", "modulename": "bioimageio.spec.model.v0_5", "qualname": "SpaceInputAxis", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "SpaceAxisBase, _WithInputAxisSize"}, "bioimageio.spec.model.v0_5.SpaceInputAxis.model_config": {"fullname": "bioimageio.spec.model.v0_5.SpaceInputAxis.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "SpaceInputAxis.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.SpaceInputAxis.model_fields": {"fullname": "bioimageio.spec.model.v0_5.SpaceInputAxis.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "SpaceInputAxis.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'size': FieldInfo(annotation=Union[Annotated[int, Gt], ParameterizedSize, SizeReference], required=True, examples=[10, {'min': 32, 'step': 16}, {'tensor_id': 't', 'axis_id': 'a', 'offset': 5}]), 'id': FieldInfo(annotation=AxisId, required=False, default='x', examples=['x', 'y', 'z'], metadata=[Predicate(func=<function <lambda>>)]), 'description': FieldInfo(annotation=str, required=False, default='', metadata=[MaxLen(max_length=128)]), 'type': FieldInfo(annotation=Literal['space'], required=False, default='space'), 'unit': FieldInfo(annotation=Union[Literal['attometer', 'angstrom', 'centimeter', 'decimeter', 'exameter', 'femtometer', 'foot', 'gigameter', 'hectometer', 'inch', 'kilometer', 'megameter', 'meter', 'micrometer', 'mile', 'millimeter', 'nanometer', 'parsec', 'petameter', 'picometer', 'terameter', 'yard', 'yoctometer', 'yottameter', 'zeptometer', 'zettameter'], NoneType], required=False), 'scale': FieldInfo(annotation=float, required=False, default=1.0, metadata=[Gt(gt=0)])}"}, "bioimageio.spec.model.v0_5.SpaceInputAxis.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.SpaceInputAxis.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "SpaceInputAxis.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.InputAxis": {"fullname": "bioimageio.spec.model.v0_5.InputAxis", "modulename": "bioimageio.spec.model.v0_5", "qualname": "InputAxis", "kind": "variable", "doc": "

\n", "default_value": "typing.Annotated[typing.Union[bioimageio.spec.model.v0_5.BatchAxis, bioimageio.spec.model.v0_5.ChannelAxis, bioimageio.spec.model.v0_5.IndexInputAxis, bioimageio.spec.model.v0_5.TimeInputAxis, bioimageio.spec.model.v0_5.SpaceInputAxis], FieldInfo(annotation=NoneType, required=True, discriminator='type')]"}, "bioimageio.spec.model.v0_5.TimeOutputAxis": {"fullname": "bioimageio.spec.model.v0_5.TimeOutputAxis", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TimeOutputAxis", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "TimeAxisBase, WithHalo, _WithOutputAxisSize"}, "bioimageio.spec.model.v0_5.TimeOutputAxis.model_config": {"fullname": "bioimageio.spec.model.v0_5.TimeOutputAxis.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TimeOutputAxis.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.TimeOutputAxis.model_fields": {"fullname": "bioimageio.spec.model.v0_5.TimeOutputAxis.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TimeOutputAxis.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'size': FieldInfo(annotation=Union[Annotated[int, Gt], SizeReference], required=True, examples=[10, {'tensor_id': 't', 'axis_id': 'a', 'offset': 5}]), 'halo': FieldInfo(annotation=int, required=False, default=0, metadata=[Ge(ge=0)]), 'id': FieldInfo(annotation=AxisId, required=False, default='time', metadata=[Predicate(func=<function <lambda>>)]), 'description': FieldInfo(annotation=str, required=False, default='', metadata=[MaxLen(max_length=128)]), 'type': FieldInfo(annotation=Literal['time'], required=False, default='time'), 'unit': FieldInfo(annotation=Union[Literal['attosecond', 'centisecond', 'day', 'decisecond', 'exasecond', 'femtosecond', 'gigasecond', 'hectosecond', 'hour', 'kilosecond', 'megasecond', 'microsecond', 'millisecond', 'minute', 'nanosecond', 'petasecond', 'picosecond', 'second', 'terasecond', 'yoctosecond', 'yottasecond', 'zeptosecond', 'zettasecond'], NoneType], required=False), 'scale': FieldInfo(annotation=float, required=False, default=1.0, metadata=[Gt(gt=0)])}"}, "bioimageio.spec.model.v0_5.TimeOutputAxis.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.TimeOutputAxis.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TimeOutputAxis.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.SpaceOutputAxis": {"fullname": "bioimageio.spec.model.v0_5.SpaceOutputAxis", "modulename": "bioimageio.spec.model.v0_5", "qualname": "SpaceOutputAxis", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "SpaceAxisBase, WithHalo, _WithOutputAxisSize"}, "bioimageio.spec.model.v0_5.SpaceOutputAxis.model_config": {"fullname": "bioimageio.spec.model.v0_5.SpaceOutputAxis.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "SpaceOutputAxis.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.SpaceOutputAxis.model_fields": {"fullname": "bioimageio.spec.model.v0_5.SpaceOutputAxis.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "SpaceOutputAxis.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'size': FieldInfo(annotation=Union[Annotated[int, Gt], SizeReference], required=True, examples=[10, {'tensor_id': 't', 'axis_id': 'a', 'offset': 5}]), 'halo': FieldInfo(annotation=int, required=False, default=0, metadata=[Ge(ge=0)]), 'id': FieldInfo(annotation=AxisId, required=False, default='x', examples=['x', 'y', 'z'], metadata=[Predicate(func=<function <lambda>>)]), 'description': FieldInfo(annotation=str, required=False, default='', metadata=[MaxLen(max_length=128)]), 'type': FieldInfo(annotation=Literal['space'], required=False, default='space'), 'unit': FieldInfo(annotation=Union[Literal['attometer', 'angstrom', 'centimeter', 'decimeter', 'exameter', 'femtometer', 'foot', 'gigameter', 'hectometer', 'inch', 'kilometer', 'megameter', 'meter', 'micrometer', 'mile', 'millimeter', 'nanometer', 'parsec', 'petameter', 'picometer', 'terameter', 'yard', 'yoctometer', 'yottameter', 'zeptometer', 'zettameter'], NoneType], required=False), 'scale': FieldInfo(annotation=float, required=False, default=1.0, metadata=[Gt(gt=0)])}"}, "bioimageio.spec.model.v0_5.SpaceOutputAxis.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.SpaceOutputAxis.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "SpaceOutputAxis.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.OutputAxis": {"fullname": "bioimageio.spec.model.v0_5.OutputAxis", "modulename": "bioimageio.spec.model.v0_5", "qualname": "OutputAxis", "kind": "variable", "doc": "

\n", "default_value": "typing.Annotated[typing.Union[bioimageio.spec.model.v0_5.BatchAxis, bioimageio.spec.model.v0_5.ChannelAxis, bioimageio.spec.model.v0_5.IndexOutputAxis, bioimageio.spec.model.v0_5.TimeOutputAxis, bioimageio.spec.model.v0_5.SpaceOutputAxis], FieldInfo(annotation=NoneType, required=True, discriminator='type')]"}, "bioimageio.spec.model.v0_5.AnyAxis": {"fullname": "bioimageio.spec.model.v0_5.AnyAxis", "modulename": "bioimageio.spec.model.v0_5", "qualname": "AnyAxis", "kind": "variable", "doc": "

\n", "default_value": "typing.Union[typing.Annotated[typing.Union[bioimageio.spec.model.v0_5.BatchAxis, bioimageio.spec.model.v0_5.ChannelAxis, bioimageio.spec.model.v0_5.IndexInputAxis, bioimageio.spec.model.v0_5.TimeInputAxis, bioimageio.spec.model.v0_5.SpaceInputAxis], FieldInfo(annotation=NoneType, required=True, discriminator='type')], typing.Annotated[typing.Union[bioimageio.spec.model.v0_5.BatchAxis, bioimageio.spec.model.v0_5.ChannelAxis, bioimageio.spec.model.v0_5.IndexOutputAxis, bioimageio.spec.model.v0_5.TimeOutputAxis, bioimageio.spec.model.v0_5.SpaceOutputAxis], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]"}, "bioimageio.spec.model.v0_5.TVs": {"fullname": "bioimageio.spec.model.v0_5.TVs", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TVs", "kind": "variable", "doc": "

\n", "default_value": "typing.Union[typing.Annotated[typing.List[int], MinLen(min_length=1)], typing.Annotated[typing.List[float], MinLen(min_length=1)], typing.Annotated[typing.List[bool], MinLen(min_length=1)], typing.Annotated[typing.List[str], MinLen(min_length=1)]]"}, "bioimageio.spec.model.v0_5.NominalOrOrdinalDType": {"fullname": "bioimageio.spec.model.v0_5.NominalOrOrdinalDType", "modulename": "bioimageio.spec.model.v0_5", "qualname": "NominalOrOrdinalDType", "kind": "variable", "doc": "

\n", "default_value": "typing.Literal['float32', 'float64', 'uint8', 'int8', 'uint16', 'int16', 'uint32', 'int32', 'uint64', 'int64', 'bool']"}, "bioimageio.spec.model.v0_5.NominalOrOrdinalDataDescr": {"fullname": "bioimageio.spec.model.v0_5.NominalOrOrdinalDataDescr", "modulename": "bioimageio.spec.model.v0_5", "qualname": "NominalOrOrdinalDataDescr", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "bioimageio.spec._internal.node.Node"}, "bioimageio.spec.model.v0_5.NominalOrOrdinalDataDescr.values": {"fullname": "bioimageio.spec.model.v0_5.NominalOrOrdinalDataDescr.values", "modulename": "bioimageio.spec.model.v0_5", "qualname": "NominalOrOrdinalDataDescr.values", "kind": "variable", "doc": "

A fixed set of nominal or an ascending sequence of ordinal values.\nIn this case data_type is required to be an unsigend integer type, e.g. 'uint8'.\nString values are interpreted as labels for tensor values 0, ..., N.\nNote: as YAML 1.2 does not natively support a \"set\" datatype,\nnominal values should be given as a sequence (aka list/array) as well.

\n", "annotation": ": Union[Annotated[List[int], MinLen(min_length=1)], Annotated[List[float], MinLen(min_length=1)], Annotated[List[bool], MinLen(min_length=1)], Annotated[List[str], MinLen(min_length=1)]]"}, "bioimageio.spec.model.v0_5.NominalOrOrdinalDataDescr.type": {"fullname": "bioimageio.spec.model.v0_5.NominalOrOrdinalDataDescr.type", "modulename": "bioimageio.spec.model.v0_5", "qualname": "NominalOrOrdinalDataDescr.type", "kind": "variable", "doc": "

\n", "annotation": ": Annotated[Literal['float32', 'float64', 'uint8', 'int8', 'uint16', 'int16', 'uint32', 'int32', 'uint64', 'int64', 'bool'], FieldInfo(annotation=NoneType, required=True, examples=['float32', 'uint8', 'uint16', 'int64', 'bool'])]"}, "bioimageio.spec.model.v0_5.NominalOrOrdinalDataDescr.unit": {"fullname": "bioimageio.spec.model.v0_5.NominalOrOrdinalDataDescr.unit", "modulename": "bioimageio.spec.model.v0_5", "qualname": "NominalOrOrdinalDataDescr.unit", "kind": "variable", "doc": "

\n", "annotation": ": Union[Literal['arbitrary unit'], bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, StringConstraints, BeforeValidator]], NoneType]"}, "bioimageio.spec.model.v0_5.NominalOrOrdinalDataDescr.range": {"fullname": "bioimageio.spec.model.v0_5.NominalOrOrdinalDataDescr.range", "modulename": "bioimageio.spec.model.v0_5", "qualname": "NominalOrOrdinalDataDescr.range", "kind": "variable", "doc": "

\n"}, "bioimageio.spec.model.v0_5.NominalOrOrdinalDataDescr.model_config": {"fullname": "bioimageio.spec.model.v0_5.NominalOrOrdinalDataDescr.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "NominalOrOrdinalDataDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.NominalOrOrdinalDataDescr.model_fields": {"fullname": "bioimageio.spec.model.v0_5.NominalOrOrdinalDataDescr.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "NominalOrOrdinalDataDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'values': FieldInfo(annotation=Union[Annotated[List[int], MinLen], Annotated[List[float], MinLen], Annotated[List[bool], MinLen], Annotated[List[str], MinLen]], required=True), 'type': FieldInfo(annotation=Literal['float32', 'float64', 'uint8', 'int8', 'uint16', 'int16', 'uint32', 'int32', 'uint64', 'int64', 'bool'], required=False, default='uint8', examples=['float32', 'uint8', 'uint16', 'int64', 'bool']), 'unit': FieldInfo(annotation=Union[Literal['arbitrary unit'], ValidatedString[Annotated[str, StringConstraints, BeforeValidator]], NoneType], required=False)}"}, "bioimageio.spec.model.v0_5.NominalOrOrdinalDataDescr.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.NominalOrOrdinalDataDescr.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "NominalOrOrdinalDataDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.IntervalOrRatioDType": {"fullname": "bioimageio.spec.model.v0_5.IntervalOrRatioDType", "modulename": "bioimageio.spec.model.v0_5", "qualname": "IntervalOrRatioDType", "kind": "variable", "doc": "

\n", "default_value": "typing.Literal['float32', 'float64', 'uint8', 'int8', 'uint16', 'int16', 'uint32', 'int32', 'uint64', 'int64']"}, "bioimageio.spec.model.v0_5.IntervalOrRatioDataDescr": {"fullname": "bioimageio.spec.model.v0_5.IntervalOrRatioDataDescr", "modulename": "bioimageio.spec.model.v0_5", "qualname": "IntervalOrRatioDataDescr", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "bioimageio.spec._internal.node.Node"}, "bioimageio.spec.model.v0_5.IntervalOrRatioDataDescr.type": {"fullname": "bioimageio.spec.model.v0_5.IntervalOrRatioDataDescr.type", "modulename": "bioimageio.spec.model.v0_5", "qualname": "IntervalOrRatioDataDescr.type", "kind": "variable", "doc": "

\n", "annotation": ": Annotated[Literal['float32', 'float64', 'uint8', 'int8', 'uint16', 'int16', 'uint32', 'int32', 'uint64', 'int64'], FieldInfo(annotation=NoneType, required=True, examples=['float32', 'float64', 'uint8', 'uint16'])]"}, "bioimageio.spec.model.v0_5.IntervalOrRatioDataDescr.range": {"fullname": "bioimageio.spec.model.v0_5.IntervalOrRatioDataDescr.range", "modulename": "bioimageio.spec.model.v0_5", "qualname": "IntervalOrRatioDataDescr.range", "kind": "variable", "doc": "

Tuple (minimum, maximum) specifying the allowed range of the data in this tensor.\nNone corresponds to min/max of what can be expressed by data_type.

\n", "annotation": ": Tuple[Optional[float], Optional[float]]"}, "bioimageio.spec.model.v0_5.IntervalOrRatioDataDescr.unit": {"fullname": "bioimageio.spec.model.v0_5.IntervalOrRatioDataDescr.unit", "modulename": "bioimageio.spec.model.v0_5", "qualname": "IntervalOrRatioDataDescr.unit", "kind": "variable", "doc": "

\n", "annotation": ": Union[Literal['arbitrary unit'], bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, StringConstraints, BeforeValidator]]]"}, "bioimageio.spec.model.v0_5.IntervalOrRatioDataDescr.scale": {"fullname": "bioimageio.spec.model.v0_5.IntervalOrRatioDataDescr.scale", "modulename": "bioimageio.spec.model.v0_5", "qualname": "IntervalOrRatioDataDescr.scale", "kind": "variable", "doc": "

Scale for data on an interval (or ratio) scale.

\n", "annotation": ": float"}, "bioimageio.spec.model.v0_5.IntervalOrRatioDataDescr.offset": {"fullname": "bioimageio.spec.model.v0_5.IntervalOrRatioDataDescr.offset", "modulename": "bioimageio.spec.model.v0_5", "qualname": "IntervalOrRatioDataDescr.offset", "kind": "variable", "doc": "

Offset for data on a ratio scale.

\n", "annotation": ": Optional[float]"}, "bioimageio.spec.model.v0_5.IntervalOrRatioDataDescr.model_config": {"fullname": "bioimageio.spec.model.v0_5.IntervalOrRatioDataDescr.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "IntervalOrRatioDataDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.IntervalOrRatioDataDescr.model_fields": {"fullname": "bioimageio.spec.model.v0_5.IntervalOrRatioDataDescr.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "IntervalOrRatioDataDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'type': FieldInfo(annotation=Literal['float32', 'float64', 'uint8', 'int8', 'uint16', 'int16', 'uint32', 'int32', 'uint64', 'int64'], required=False, default='float32', examples=['float32', 'float64', 'uint8', 'uint16']), 'range': FieldInfo(annotation=Tuple[Union[float, NoneType], Union[float, NoneType]], required=False, default=(None, None)), 'unit': FieldInfo(annotation=Union[Literal['arbitrary unit'], ValidatedString[Annotated[str, StringConstraints, BeforeValidator]]], required=False, default='arbitrary unit'), 'scale': FieldInfo(annotation=float, required=False, default=1.0), 'offset': FieldInfo(annotation=Union[float, NoneType], required=False)}"}, "bioimageio.spec.model.v0_5.IntervalOrRatioDataDescr.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.IntervalOrRatioDataDescr.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "IntervalOrRatioDataDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.TensorDataDescr": {"fullname": "bioimageio.spec.model.v0_5.TensorDataDescr", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TensorDataDescr", "kind": "variable", "doc": "

\n", "default_value": "typing.Union[bioimageio.spec.model.v0_5.NominalOrOrdinalDataDescr, bioimageio.spec.model.v0_5.IntervalOrRatioDataDescr]"}, "bioimageio.spec.model.v0_5.ProcessingDescrBase": {"fullname": "bioimageio.spec.model.v0_5.ProcessingDescrBase", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ProcessingDescrBase", "kind": "class", "doc": "

processing base class

\n", "bases": "bioimageio.spec._internal.common_nodes.NodeWithExplicitlySetFields, abc.ABC"}, "bioimageio.spec.model.v0_5.ProcessingDescrBase.fields_to_set_explicitly": {"fullname": "bioimageio.spec.model.v0_5.ProcessingDescrBase.fields_to_set_explicitly", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ProcessingDescrBase.fields_to_set_explicitly", "kind": "variable", "doc": "

set set these fields explicitly with their default value if they are not set,\nsuch that they are always included even when dumping with 'exlude_unset'

\n", "annotation": ": ClassVar[FrozenSet[LiteralString]]", "default_value": "frozenset({'id'})"}, "bioimageio.spec.model.v0_5.ProcessingDescrBase.model_config": {"fullname": "bioimageio.spec.model.v0_5.ProcessingDescrBase.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ProcessingDescrBase.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.ProcessingDescrBase.model_fields": {"fullname": "bioimageio.spec.model.v0_5.ProcessingDescrBase.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ProcessingDescrBase.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.ProcessingDescrBase.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.ProcessingDescrBase.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ProcessingDescrBase.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.BinarizeDescr": {"fullname": "bioimageio.spec.model.v0_5.BinarizeDescr", "modulename": "bioimageio.spec.model.v0_5", "qualname": "BinarizeDescr", "kind": "class", "doc": "

Binarize the tensor with a fixed threshold.\nValues above the threshold will be set to one, values below the threshold to zero.

\n", "bases": "ProcessingDescrBase"}, "bioimageio.spec.model.v0_5.BinarizeDescr.id": {"fullname": "bioimageio.spec.model.v0_5.BinarizeDescr.id", "modulename": "bioimageio.spec.model.v0_5", "qualname": "BinarizeDescr.id", "kind": "variable", "doc": "

\n", "annotation": ": Literal['binarize']"}, "bioimageio.spec.model.v0_5.BinarizeDescr.kwargs": {"fullname": "bioimageio.spec.model.v0_5.BinarizeDescr.kwargs", "modulename": "bioimageio.spec.model.v0_5", "qualname": "BinarizeDescr.kwargs", "kind": "variable", "doc": "

\n", "annotation": ": bioimageio.spec.model.v0_4.BinarizeKwargs"}, "bioimageio.spec.model.v0_5.BinarizeDescr.model_config": {"fullname": "bioimageio.spec.model.v0_5.BinarizeDescr.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "BinarizeDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.BinarizeDescr.model_fields": {"fullname": "bioimageio.spec.model.v0_5.BinarizeDescr.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "BinarizeDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'id': FieldInfo(annotation=Literal['binarize'], required=False, default='binarize'), 'kwargs': FieldInfo(annotation=BinarizeKwargs, required=True)}"}, "bioimageio.spec.model.v0_5.BinarizeDescr.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.BinarizeDescr.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "BinarizeDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.ClipDescr": {"fullname": "bioimageio.spec.model.v0_5.ClipDescr", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ClipDescr", "kind": "class", "doc": "

Set tensor values below min to min and above max to max.

\n", "bases": "ProcessingDescrBase"}, "bioimageio.spec.model.v0_5.ClipDescr.id": {"fullname": "bioimageio.spec.model.v0_5.ClipDescr.id", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ClipDescr.id", "kind": "variable", "doc": "

\n", "annotation": ": Literal['clip']"}, "bioimageio.spec.model.v0_5.ClipDescr.kwargs": {"fullname": "bioimageio.spec.model.v0_5.ClipDescr.kwargs", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ClipDescr.kwargs", "kind": "variable", "doc": "

\n", "annotation": ": bioimageio.spec.model.v0_4.ClipKwargs"}, "bioimageio.spec.model.v0_5.ClipDescr.model_config": {"fullname": "bioimageio.spec.model.v0_5.ClipDescr.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ClipDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.ClipDescr.model_fields": {"fullname": "bioimageio.spec.model.v0_5.ClipDescr.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ClipDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'id': FieldInfo(annotation=Literal['clip'], required=False, default='clip'), 'kwargs': FieldInfo(annotation=ClipKwargs, required=True)}"}, "bioimageio.spec.model.v0_5.ClipDescr.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.ClipDescr.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ClipDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.EnsureDtypeKwargs": {"fullname": "bioimageio.spec.model.v0_5.EnsureDtypeKwargs", "modulename": "bioimageio.spec.model.v0_5", "qualname": "EnsureDtypeKwargs", "kind": "class", "doc": "

base class for pre-/postprocessing key word arguments

\n", "bases": "bioimageio.spec.model.v0_4.ProcessingKwargs"}, "bioimageio.spec.model.v0_5.EnsureDtypeKwargs.dtype": {"fullname": "bioimageio.spec.model.v0_5.EnsureDtypeKwargs.dtype", "modulename": "bioimageio.spec.model.v0_5", "qualname": "EnsureDtypeKwargs.dtype", "kind": "variable", "doc": "

\n", "annotation": ": str"}, "bioimageio.spec.model.v0_5.EnsureDtypeKwargs.model_config": {"fullname": "bioimageio.spec.model.v0_5.EnsureDtypeKwargs.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "EnsureDtypeKwargs.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.EnsureDtypeKwargs.model_fields": {"fullname": "bioimageio.spec.model.v0_5.EnsureDtypeKwargs.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "EnsureDtypeKwargs.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'dtype': FieldInfo(annotation=str, required=True)}"}, "bioimageio.spec.model.v0_5.EnsureDtypeKwargs.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.EnsureDtypeKwargs.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "EnsureDtypeKwargs.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.EnsureDtypeDescr": {"fullname": "bioimageio.spec.model.v0_5.EnsureDtypeDescr", "modulename": "bioimageio.spec.model.v0_5", "qualname": "EnsureDtypeDescr", "kind": "class", "doc": "

processing base class

\n", "bases": "ProcessingDescrBase"}, "bioimageio.spec.model.v0_5.EnsureDtypeDescr.id": {"fullname": "bioimageio.spec.model.v0_5.EnsureDtypeDescr.id", "modulename": "bioimageio.spec.model.v0_5", "qualname": "EnsureDtypeDescr.id", "kind": "variable", "doc": "

\n", "annotation": ": Literal['ensure_dtype']"}, "bioimageio.spec.model.v0_5.EnsureDtypeDescr.kwargs": {"fullname": "bioimageio.spec.model.v0_5.EnsureDtypeDescr.kwargs", "modulename": "bioimageio.spec.model.v0_5", "qualname": "EnsureDtypeDescr.kwargs", "kind": "variable", "doc": "

\n", "annotation": ": bioimageio.spec.model.v0_5.EnsureDtypeKwargs"}, "bioimageio.spec.model.v0_5.EnsureDtypeDescr.model_config": {"fullname": "bioimageio.spec.model.v0_5.EnsureDtypeDescr.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "EnsureDtypeDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.EnsureDtypeDescr.model_fields": {"fullname": "bioimageio.spec.model.v0_5.EnsureDtypeDescr.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "EnsureDtypeDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'id': FieldInfo(annotation=Literal['ensure_dtype'], required=False, default='ensure_dtype'), 'kwargs': FieldInfo(annotation=EnsureDtypeKwargs, required=True)}"}, "bioimageio.spec.model.v0_5.EnsureDtypeDescr.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.EnsureDtypeDescr.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "EnsureDtypeDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.ScaleLinearKwargs": {"fullname": "bioimageio.spec.model.v0_5.ScaleLinearKwargs", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ScaleLinearKwargs", "kind": "class", "doc": "

base class for pre-/postprocessing key word arguments

\n", "bases": "bioimageio.spec.model.v0_4.ProcessingKwargs"}, "bioimageio.spec.model.v0_5.ScaleLinearKwargs.axis": {"fullname": "bioimageio.spec.model.v0_5.ScaleLinearKwargs.axis", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ScaleLinearKwargs.axis", "kind": "variable", "doc": "

The axis of non-scalar gains/offsets.\nInvalid for scalar gains/offsets.

\n", "annotation": ": Annotated[Optional[Annotated[bioimageio.spec.model.v0_5.AxisId, Predicate(func=<function <lambda> at 0x7f469e0377e0>)]], FieldInfo(annotation=NoneType, required=True, examples=['channel'])]"}, "bioimageio.spec.model.v0_5.ScaleLinearKwargs.gain": {"fullname": "bioimageio.spec.model.v0_5.ScaleLinearKwargs.gain", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ScaleLinearKwargs.gain", "kind": "variable", "doc": "

multiplicative factor

\n", "annotation": ": Union[float, Annotated[List[float], MinLen(min_length=1)]]"}, "bioimageio.spec.model.v0_5.ScaleLinearKwargs.offset": {"fullname": "bioimageio.spec.model.v0_5.ScaleLinearKwargs.offset", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ScaleLinearKwargs.offset", "kind": "variable", "doc": "

additive term

\n", "annotation": ": Union[float, Annotated[List[float], MinLen(min_length=1)]]"}, "bioimageio.spec.model.v0_5.ScaleLinearKwargs.either_gain_or_offset": {"fullname": "bioimageio.spec.model.v0_5.ScaleLinearKwargs.either_gain_or_offset", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ScaleLinearKwargs.either_gain_or_offset", "kind": "function", "doc": "

\n", "signature": "(self) -> Self:", "funcdef": "def"}, "bioimageio.spec.model.v0_5.ScaleLinearKwargs.model_config": {"fullname": "bioimageio.spec.model.v0_5.ScaleLinearKwargs.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ScaleLinearKwargs.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.ScaleLinearKwargs.model_fields": {"fullname": "bioimageio.spec.model.v0_5.ScaleLinearKwargs.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ScaleLinearKwargs.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'axis': FieldInfo(annotation=Union[Annotated[AxisId, Predicate], NoneType], required=False, examples=['channel']), 'gain': FieldInfo(annotation=Union[float, Annotated[List[float], MinLen]], required=False, default=1.0), 'offset': FieldInfo(annotation=Union[float, Annotated[List[float], MinLen]], required=False, default=0.0)}"}, "bioimageio.spec.model.v0_5.ScaleLinearKwargs.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.ScaleLinearKwargs.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ScaleLinearKwargs.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.ScaleLinearDescr": {"fullname": "bioimageio.spec.model.v0_5.ScaleLinearDescr", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ScaleLinearDescr", "kind": "class", "doc": "

Fixed linear scaling.

\n", "bases": "ProcessingDescrBase"}, "bioimageio.spec.model.v0_5.ScaleLinearDescr.id": {"fullname": "bioimageio.spec.model.v0_5.ScaleLinearDescr.id", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ScaleLinearDescr.id", "kind": "variable", "doc": "

\n", "annotation": ": Literal['scale_linear']"}, "bioimageio.spec.model.v0_5.ScaleLinearDescr.kwargs": {"fullname": "bioimageio.spec.model.v0_5.ScaleLinearDescr.kwargs", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ScaleLinearDescr.kwargs", "kind": "variable", "doc": "

\n", "annotation": ": bioimageio.spec.model.v0_5.ScaleLinearKwargs"}, "bioimageio.spec.model.v0_5.ScaleLinearDescr.model_config": {"fullname": "bioimageio.spec.model.v0_5.ScaleLinearDescr.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ScaleLinearDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.ScaleLinearDescr.model_fields": {"fullname": "bioimageio.spec.model.v0_5.ScaleLinearDescr.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ScaleLinearDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'id': FieldInfo(annotation=Literal['scale_linear'], required=False, default='scale_linear'), 'kwargs': FieldInfo(annotation=ScaleLinearKwargs, required=True)}"}, "bioimageio.spec.model.v0_5.ScaleLinearDescr.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.ScaleLinearDescr.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ScaleLinearDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.SigmoidDescr": {"fullname": "bioimageio.spec.model.v0_5.SigmoidDescr", "modulename": "bioimageio.spec.model.v0_5", "qualname": "SigmoidDescr", "kind": "class", "doc": "

The logistic sigmoid funciton, a.k.a. expit function.

\n", "bases": "ProcessingDescrBase"}, "bioimageio.spec.model.v0_5.SigmoidDescr.id": {"fullname": "bioimageio.spec.model.v0_5.SigmoidDescr.id", "modulename": "bioimageio.spec.model.v0_5", "qualname": "SigmoidDescr.id", "kind": "variable", "doc": "

\n", "annotation": ": Literal['sigmoid']"}, "bioimageio.spec.model.v0_5.SigmoidDescr.kwargs": {"fullname": "bioimageio.spec.model.v0_5.SigmoidDescr.kwargs", "modulename": "bioimageio.spec.model.v0_5", "qualname": "SigmoidDescr.kwargs", "kind": "variable", "doc": "

empty kwargs

\n", "annotation": ": bioimageio.spec.model.v0_4.ProcessingKwargs"}, "bioimageio.spec.model.v0_5.SigmoidDescr.model_config": {"fullname": "bioimageio.spec.model.v0_5.SigmoidDescr.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "SigmoidDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.SigmoidDescr.model_fields": {"fullname": "bioimageio.spec.model.v0_5.SigmoidDescr.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "SigmoidDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'id': FieldInfo(annotation=Literal['sigmoid'], required=False, default='sigmoid')}"}, "bioimageio.spec.model.v0_5.SigmoidDescr.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.SigmoidDescr.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "SigmoidDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.FixedZeroMeanUnitVarianceKwargs": {"fullname": "bioimageio.spec.model.v0_5.FixedZeroMeanUnitVarianceKwargs", "modulename": "bioimageio.spec.model.v0_5", "qualname": "FixedZeroMeanUnitVarianceKwargs", "kind": "class", "doc": "

Normalize with fixed, precomputed values for mean and variance.\nSee zero_mean_unit_variance for data dependent normalization.

\n", "bases": "bioimageio.spec.model.v0_4.ProcessingKwargs"}, "bioimageio.spec.model.v0_5.FixedZeroMeanUnitVarianceKwargs.mean": {"fullname": "bioimageio.spec.model.v0_5.FixedZeroMeanUnitVarianceKwargs.mean", "modulename": "bioimageio.spec.model.v0_5", "qualname": "FixedZeroMeanUnitVarianceKwargs.mean", "kind": "variable", "doc": "

The mean value(s) to normalize with. Specify axis for a sequence of mean values

\n", "annotation": ": Annotated[Union[float, Annotated[Tuple[float, ...], MinLen(min_length=1)]], FieldInfo(annotation=NoneType, required=True, examples=[3.14, (1.1, -2.2, 3.3)])]"}, "bioimageio.spec.model.v0_5.FixedZeroMeanUnitVarianceKwargs.std": {"fullname": "bioimageio.spec.model.v0_5.FixedZeroMeanUnitVarianceKwargs.std", "modulename": "bioimageio.spec.model.v0_5", "qualname": "FixedZeroMeanUnitVarianceKwargs.std", "kind": "variable", "doc": "

The standard deviation value(s) to normalize with. Size must match mean values.

\n", "annotation": ": Annotated[Union[Annotated[float, Ge(ge=1e-06)], Annotated[Tuple[Annotated[float, Ge(ge=1e-06)], ...], MinLen(min_length=1)]], FieldInfo(annotation=NoneType, required=True, examples=[1.05, (0.1, 0.2, 0.3)])]"}, "bioimageio.spec.model.v0_5.FixedZeroMeanUnitVarianceKwargs.axis": {"fullname": "bioimageio.spec.model.v0_5.FixedZeroMeanUnitVarianceKwargs.axis", "modulename": "bioimageio.spec.model.v0_5", "qualname": "FixedZeroMeanUnitVarianceKwargs.axis", "kind": "variable", "doc": "

The axis of the mean/std values to normalize each entry along that dimension separately.\nInvalid for scalar gains/offsets.

\n", "annotation": ": Annotated[Optional[Annotated[bioimageio.spec.model.v0_5.AxisId, Predicate(func=<function <lambda> at 0x7f469e0377e0>)]], FieldInfo(annotation=NoneType, required=True, examples=['channel', 'index'])]"}, "bioimageio.spec.model.v0_5.FixedZeroMeanUnitVarianceKwargs.mean_and_std_match": {"fullname": "bioimageio.spec.model.v0_5.FixedZeroMeanUnitVarianceKwargs.mean_and_std_match", "modulename": "bioimageio.spec.model.v0_5", "qualname": "FixedZeroMeanUnitVarianceKwargs.mean_and_std_match", "kind": "function", "doc": "

\n", "signature": "(self) -> Self:", "funcdef": "def"}, "bioimageio.spec.model.v0_5.FixedZeroMeanUnitVarianceKwargs.model_config": {"fullname": "bioimageio.spec.model.v0_5.FixedZeroMeanUnitVarianceKwargs.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "FixedZeroMeanUnitVarianceKwargs.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.FixedZeroMeanUnitVarianceKwargs.model_fields": {"fullname": "bioimageio.spec.model.v0_5.FixedZeroMeanUnitVarianceKwargs.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "FixedZeroMeanUnitVarianceKwargs.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'mean': FieldInfo(annotation=Union[float, Annotated[Tuple[float, ...], MinLen]], required=True, examples=[3.14, (1.1, -2.2, 3.3)]), 'std': FieldInfo(annotation=Union[Annotated[float, Ge], Annotated[Tuple[Annotated[float, Ge], ...], MinLen]], required=True, examples=[1.05, (0.1, 0.2, 0.3)]), 'axis': FieldInfo(annotation=Union[Annotated[AxisId, Predicate], NoneType], required=False, examples=['channel', 'index'])}"}, "bioimageio.spec.model.v0_5.FixedZeroMeanUnitVarianceKwargs.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.FixedZeroMeanUnitVarianceKwargs.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "FixedZeroMeanUnitVarianceKwargs.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.FixedZeroMeanUnitVarianceDescr": {"fullname": "bioimageio.spec.model.v0_5.FixedZeroMeanUnitVarianceDescr", "modulename": "bioimageio.spec.model.v0_5", "qualname": "FixedZeroMeanUnitVarianceDescr", "kind": "class", "doc": "

Subtract a given mean and divide by a given variance.

\n", "bases": "ProcessingDescrBase"}, "bioimageio.spec.model.v0_5.FixedZeroMeanUnitVarianceDescr.id": {"fullname": "bioimageio.spec.model.v0_5.FixedZeroMeanUnitVarianceDescr.id", "modulename": "bioimageio.spec.model.v0_5", "qualname": "FixedZeroMeanUnitVarianceDescr.id", "kind": "variable", "doc": "

\n", "annotation": ": Literal['fixed_zero_mean_unit_variance']"}, "bioimageio.spec.model.v0_5.FixedZeroMeanUnitVarianceDescr.kwargs": {"fullname": "bioimageio.spec.model.v0_5.FixedZeroMeanUnitVarianceDescr.kwargs", "modulename": "bioimageio.spec.model.v0_5", "qualname": "FixedZeroMeanUnitVarianceDescr.kwargs", "kind": "variable", "doc": "

\n", "annotation": ": bioimageio.spec.model.v0_5.FixedZeroMeanUnitVarianceKwargs"}, "bioimageio.spec.model.v0_5.FixedZeroMeanUnitVarianceDescr.model_config": {"fullname": "bioimageio.spec.model.v0_5.FixedZeroMeanUnitVarianceDescr.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "FixedZeroMeanUnitVarianceDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.FixedZeroMeanUnitVarianceDescr.model_fields": {"fullname": "bioimageio.spec.model.v0_5.FixedZeroMeanUnitVarianceDescr.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "FixedZeroMeanUnitVarianceDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'id': FieldInfo(annotation=Literal['fixed_zero_mean_unit_variance'], required=False, default='fixed_zero_mean_unit_variance'), 'kwargs': FieldInfo(annotation=FixedZeroMeanUnitVarianceKwargs, required=True)}"}, "bioimageio.spec.model.v0_5.FixedZeroMeanUnitVarianceDescr.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.FixedZeroMeanUnitVarianceDescr.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "FixedZeroMeanUnitVarianceDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.ZeroMeanUnitVarianceKwargs": {"fullname": "bioimageio.spec.model.v0_5.ZeroMeanUnitVarianceKwargs", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ZeroMeanUnitVarianceKwargs", "kind": "class", "doc": "

base class for pre-/postprocessing key word arguments

\n", "bases": "bioimageio.spec.model.v0_4.ProcessingKwargs"}, "bioimageio.spec.model.v0_5.ZeroMeanUnitVarianceKwargs.axes": {"fullname": "bioimageio.spec.model.v0_5.ZeroMeanUnitVarianceKwargs.axes", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ZeroMeanUnitVarianceKwargs.axes", "kind": "variable", "doc": "

The subset of axes to normalize jointly, i.e. axes to reduce to compute mean/std.\nFor example to normalize 'batch', 'x' and 'y' jointly in a tensor ('batch', 'channel', 'y', 'x')\nresulting in a tensor of equal shape normalized per channel, specify axes=('batch', 'x', 'y').\nTo normalize each sample independently leave out the 'batch' axis.\nDefault: Scale all axes jointly.

\n", "annotation": ": Annotated[Optional[Sequence[bioimageio.spec.model.v0_5.AxisId]], FieldInfo(annotation=NoneType, required=True, examples=[('batch', 'x', 'y')])]"}, "bioimageio.spec.model.v0_5.ZeroMeanUnitVarianceKwargs.eps": {"fullname": "bioimageio.spec.model.v0_5.ZeroMeanUnitVarianceKwargs.eps", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ZeroMeanUnitVarianceKwargs.eps", "kind": "variable", "doc": "

epsilon for numeric stability: out = (tensor - mean) / (std + eps).

\n", "annotation": ": Annotated[float, Interval(gt=0, ge=None, lt=None, le=0.1)]"}, "bioimageio.spec.model.v0_5.ZeroMeanUnitVarianceKwargs.model_config": {"fullname": "bioimageio.spec.model.v0_5.ZeroMeanUnitVarianceKwargs.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ZeroMeanUnitVarianceKwargs.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.ZeroMeanUnitVarianceKwargs.model_fields": {"fullname": "bioimageio.spec.model.v0_5.ZeroMeanUnitVarianceKwargs.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ZeroMeanUnitVarianceKwargs.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'axes': FieldInfo(annotation=Union[Sequence[AxisId], NoneType], required=False, examples=[('batch', 'x', 'y')]), 'eps': FieldInfo(annotation=float, required=False, default=1e-06, metadata=[Interval(gt=0, ge=None, lt=None, le=0.1)])}"}, "bioimageio.spec.model.v0_5.ZeroMeanUnitVarianceKwargs.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.ZeroMeanUnitVarianceKwargs.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ZeroMeanUnitVarianceKwargs.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.ZeroMeanUnitVarianceDescr": {"fullname": "bioimageio.spec.model.v0_5.ZeroMeanUnitVarianceDescr", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ZeroMeanUnitVarianceDescr", "kind": "class", "doc": "

Subtract mean and divide by variance.

\n", "bases": "ProcessingDescrBase"}, "bioimageio.spec.model.v0_5.ZeroMeanUnitVarianceDescr.id": {"fullname": "bioimageio.spec.model.v0_5.ZeroMeanUnitVarianceDescr.id", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ZeroMeanUnitVarianceDescr.id", "kind": "variable", "doc": "

\n", "annotation": ": Literal['zero_mean_unit_variance']"}, "bioimageio.spec.model.v0_5.ZeroMeanUnitVarianceDescr.kwargs": {"fullname": "bioimageio.spec.model.v0_5.ZeroMeanUnitVarianceDescr.kwargs", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ZeroMeanUnitVarianceDescr.kwargs", "kind": "variable", "doc": "

\n", "annotation": ": bioimageio.spec.model.v0_5.ZeroMeanUnitVarianceKwargs"}, "bioimageio.spec.model.v0_5.ZeroMeanUnitVarianceDescr.model_config": {"fullname": "bioimageio.spec.model.v0_5.ZeroMeanUnitVarianceDescr.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ZeroMeanUnitVarianceDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.ZeroMeanUnitVarianceDescr.model_fields": {"fullname": "bioimageio.spec.model.v0_5.ZeroMeanUnitVarianceDescr.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ZeroMeanUnitVarianceDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'id': FieldInfo(annotation=Literal['zero_mean_unit_variance'], required=False, default='zero_mean_unit_variance'), 'kwargs': FieldInfo(annotation=ZeroMeanUnitVarianceKwargs, required=True)}"}, "bioimageio.spec.model.v0_5.ZeroMeanUnitVarianceDescr.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.ZeroMeanUnitVarianceDescr.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ZeroMeanUnitVarianceDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.ScaleRangeKwargs": {"fullname": "bioimageio.spec.model.v0_5.ScaleRangeKwargs", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ScaleRangeKwargs", "kind": "class", "doc": "

base class for pre-/postprocessing key word arguments

\n", "bases": "bioimageio.spec.model.v0_4.ProcessingKwargs"}, "bioimageio.spec.model.v0_5.ScaleRangeKwargs.axes": {"fullname": "bioimageio.spec.model.v0_5.ScaleRangeKwargs.axes", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ScaleRangeKwargs.axes", "kind": "variable", "doc": "

The subset of axes to normalize jointly, i.e. axes to reduce to compute the min/max percentile value.\nFor example to normalize 'batch', 'x' and 'y' jointly in a tensor ('batch', 'channel', 'y', 'x')\nresulting in a tensor of equal shape normalized per channel, specify axes=('batch', 'x', 'y').\nTo normalize samples indepdencently, leave out the \"batch\" axis.\nDefault: Scale all axes jointly.

\n", "annotation": ": Annotated[Optional[Sequence[bioimageio.spec.model.v0_5.AxisId]], FieldInfo(annotation=NoneType, required=True, examples=[('batch', 'x', 'y')])]"}, "bioimageio.spec.model.v0_5.ScaleRangeKwargs.min_percentile": {"fullname": "bioimageio.spec.model.v0_5.ScaleRangeKwargs.min_percentile", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ScaleRangeKwargs.min_percentile", "kind": "variable", "doc": "

The lower percentile used for normalization.

\n", "annotation": ": Annotated[float, Interval(gt=None, ge=0, lt=100, le=None)]"}, "bioimageio.spec.model.v0_5.ScaleRangeKwargs.max_percentile": {"fullname": "bioimageio.spec.model.v0_5.ScaleRangeKwargs.max_percentile", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ScaleRangeKwargs.max_percentile", "kind": "variable", "doc": "

The upper percentile used for normalization\nHas to be bigger than min_percentile.\nThe range is 1 to 100 instead of 0 to 100 to avoid mistakenly\naccepting percentiles specified in the range 0.0 to 1.0.

\n", "annotation": ": Annotated[float, Interval(gt=1, ge=None, lt=None, le=100)]"}, "bioimageio.spec.model.v0_5.ScaleRangeKwargs.eps": {"fullname": "bioimageio.spec.model.v0_5.ScaleRangeKwargs.eps", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ScaleRangeKwargs.eps", "kind": "variable", "doc": "

Epsilon for numeric stability.\nout = (tensor - v_lower) / (v_upper - v_lower + eps);\nwith v_lower,v_upper values at the respective percentiles.

\n", "annotation": ": Annotated[float, Interval(gt=0, ge=None, lt=None, le=0.1)]"}, "bioimageio.spec.model.v0_5.ScaleRangeKwargs.reference_tensor": {"fullname": "bioimageio.spec.model.v0_5.ScaleRangeKwargs.reference_tensor", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ScaleRangeKwargs.reference_tensor", "kind": "variable", "doc": "

Tensor ID to compute the percentiles from. Default: The tensor itself.\nFor any tensor in inputs only input tensor references are allowed.

\n", "annotation": ": Optional[bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, AfterValidator, AfterValidator, Annotated[TypeVar, Predicate], MaxLen]]]"}, "bioimageio.spec.model.v0_5.ScaleRangeKwargs.min_smaller_max": {"fullname": "bioimageio.spec.model.v0_5.ScaleRangeKwargs.min_smaller_max", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ScaleRangeKwargs.min_smaller_max", "kind": "function", "doc": "

\n", "signature": "(\tcls,\tvalue: float,\tinfo: pydantic_core.core_schema.ValidationInfo) -> float:", "funcdef": "def"}, "bioimageio.spec.model.v0_5.ScaleRangeKwargs.model_config": {"fullname": "bioimageio.spec.model.v0_5.ScaleRangeKwargs.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ScaleRangeKwargs.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.ScaleRangeKwargs.model_fields": {"fullname": "bioimageio.spec.model.v0_5.ScaleRangeKwargs.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ScaleRangeKwargs.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'axes': FieldInfo(annotation=Union[Sequence[AxisId], NoneType], required=False, examples=[('batch', 'x', 'y')]), 'min_percentile': FieldInfo(annotation=float, required=False, default=0.0, metadata=[Interval(gt=None, ge=0, lt=100, le=None)]), 'max_percentile': FieldInfo(annotation=float, required=False, default=100.0, metadata=[Interval(gt=1, ge=None, lt=None, le=100)]), 'eps': FieldInfo(annotation=float, required=False, default=1e-06, metadata=[Interval(gt=0, ge=None, lt=None, le=0.1)]), 'reference_tensor': FieldInfo(annotation=Union[ValidatedString[Annotated[str, MinLen, AfterValidator, AfterValidator, Annotated[TypeVar, Predicate], MaxLen]], NoneType], required=False)}"}, "bioimageio.spec.model.v0_5.ScaleRangeKwargs.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.ScaleRangeKwargs.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ScaleRangeKwargs.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.ScaleRangeDescr": {"fullname": "bioimageio.spec.model.v0_5.ScaleRangeDescr", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ScaleRangeDescr", "kind": "class", "doc": "

Scale with percentiles.

\n", "bases": "ProcessingDescrBase"}, "bioimageio.spec.model.v0_5.ScaleRangeDescr.id": {"fullname": "bioimageio.spec.model.v0_5.ScaleRangeDescr.id", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ScaleRangeDescr.id", "kind": "variable", "doc": "

\n", "annotation": ": Literal['scale_range']"}, "bioimageio.spec.model.v0_5.ScaleRangeDescr.kwargs": {"fullname": "bioimageio.spec.model.v0_5.ScaleRangeDescr.kwargs", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ScaleRangeDescr.kwargs", "kind": "variable", "doc": "

\n", "annotation": ": bioimageio.spec.model.v0_5.ScaleRangeKwargs"}, "bioimageio.spec.model.v0_5.ScaleRangeDescr.model_config": {"fullname": "bioimageio.spec.model.v0_5.ScaleRangeDescr.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ScaleRangeDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.ScaleRangeDescr.model_fields": {"fullname": "bioimageio.spec.model.v0_5.ScaleRangeDescr.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ScaleRangeDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'id': FieldInfo(annotation=Literal['scale_range'], required=False, default='scale_range'), 'kwargs': FieldInfo(annotation=ScaleRangeKwargs, required=True)}"}, "bioimageio.spec.model.v0_5.ScaleRangeDescr.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.ScaleRangeDescr.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ScaleRangeDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.ScaleMeanVarianceKwargs": {"fullname": "bioimageio.spec.model.v0_5.ScaleMeanVarianceKwargs", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ScaleMeanVarianceKwargs", "kind": "class", "doc": "

Scale a tensor's data distribution to match another tensor's mean/std.\nout = (tensor - mean) / (std + eps) * (ref_std + eps) + ref_mean.

\n", "bases": "bioimageio.spec.model.v0_4.ProcessingKwargs"}, "bioimageio.spec.model.v0_5.ScaleMeanVarianceKwargs.reference_tensor": {"fullname": "bioimageio.spec.model.v0_5.ScaleMeanVarianceKwargs.reference_tensor", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ScaleMeanVarianceKwargs.reference_tensor", "kind": "variable", "doc": "

Name of tensor to match.

\n", "annotation": ": bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, AfterValidator, AfterValidator, Annotated[TypeVar, Predicate], MaxLen]]"}, "bioimageio.spec.model.v0_5.ScaleMeanVarianceKwargs.axes": {"fullname": "bioimageio.spec.model.v0_5.ScaleMeanVarianceKwargs.axes", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ScaleMeanVarianceKwargs.axes", "kind": "variable", "doc": "

The subset of axes to normalize jointly, i.e. axes to reduce to compute mean/std.\nFor example to normalize 'batch', 'x' and 'y' jointly in a tensor ('batch', 'channel', 'y', 'x')\nresulting in a tensor of equal shape normalized per channel, specify axes=('batch', 'x', 'y').\nTo normalize samples independently, leave out the 'batch' axis.\nDefault: Scale all axes jointly.

\n", "annotation": ": Annotated[Optional[Sequence[bioimageio.spec.model.v0_5.AxisId]], FieldInfo(annotation=NoneType, required=True, examples=[('batch', 'x', 'y')])]"}, "bioimageio.spec.model.v0_5.ScaleMeanVarianceKwargs.eps": {"fullname": "bioimageio.spec.model.v0_5.ScaleMeanVarianceKwargs.eps", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ScaleMeanVarianceKwargs.eps", "kind": "variable", "doc": "

Epsilon for numeric stability:\nout = (tensor - mean) / (std + eps) * (ref_std + eps) + ref_mean.

\n", "annotation": ": Annotated[float, Interval(gt=0, ge=None, lt=None, le=0.1)]"}, "bioimageio.spec.model.v0_5.ScaleMeanVarianceKwargs.model_config": {"fullname": "bioimageio.spec.model.v0_5.ScaleMeanVarianceKwargs.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ScaleMeanVarianceKwargs.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.ScaleMeanVarianceKwargs.model_fields": {"fullname": "bioimageio.spec.model.v0_5.ScaleMeanVarianceKwargs.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ScaleMeanVarianceKwargs.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'reference_tensor': FieldInfo(annotation=ValidatedString[Annotated[str, MinLen, AfterValidator, AfterValidator, Annotated[TypeVar, Predicate], MaxLen]], required=True), 'axes': FieldInfo(annotation=Union[Sequence[AxisId], NoneType], required=False, examples=[('batch', 'x', 'y')]), 'eps': FieldInfo(annotation=float, required=False, default=1e-06, metadata=[Interval(gt=0, ge=None, lt=None, le=0.1)])}"}, "bioimageio.spec.model.v0_5.ScaleMeanVarianceKwargs.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.ScaleMeanVarianceKwargs.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ScaleMeanVarianceKwargs.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.ScaleMeanVarianceDescr": {"fullname": "bioimageio.spec.model.v0_5.ScaleMeanVarianceDescr", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ScaleMeanVarianceDescr", "kind": "class", "doc": "

Scale the tensor s.t. its mean and variance match a reference tensor.

\n", "bases": "ProcessingDescrBase"}, "bioimageio.spec.model.v0_5.ScaleMeanVarianceDescr.id": {"fullname": "bioimageio.spec.model.v0_5.ScaleMeanVarianceDescr.id", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ScaleMeanVarianceDescr.id", "kind": "variable", "doc": "

\n", "annotation": ": Literal['scale_mean_variance']"}, "bioimageio.spec.model.v0_5.ScaleMeanVarianceDescr.kwargs": {"fullname": "bioimageio.spec.model.v0_5.ScaleMeanVarianceDescr.kwargs", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ScaleMeanVarianceDescr.kwargs", "kind": "variable", "doc": "

\n", "annotation": ": bioimageio.spec.model.v0_5.ScaleMeanVarianceKwargs"}, "bioimageio.spec.model.v0_5.ScaleMeanVarianceDescr.model_config": {"fullname": "bioimageio.spec.model.v0_5.ScaleMeanVarianceDescr.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ScaleMeanVarianceDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.ScaleMeanVarianceDescr.model_fields": {"fullname": "bioimageio.spec.model.v0_5.ScaleMeanVarianceDescr.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ScaleMeanVarianceDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'id': FieldInfo(annotation=Literal['scale_mean_variance'], required=False, default='scale_mean_variance'), 'kwargs': FieldInfo(annotation=ScaleMeanVarianceKwargs, required=True)}"}, "bioimageio.spec.model.v0_5.ScaleMeanVarianceDescr.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.ScaleMeanVarianceDescr.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ScaleMeanVarianceDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.PreprocessingDescr": {"fullname": "bioimageio.spec.model.v0_5.PreprocessingDescr", "modulename": "bioimageio.spec.model.v0_5", "qualname": "PreprocessingDescr", "kind": "variable", "doc": "

\n", "default_value": "typing.Annotated[typing.Union[bioimageio.spec.model.v0_5.BinarizeDescr, bioimageio.spec.model.v0_5.ClipDescr, bioimageio.spec.model.v0_5.EnsureDtypeDescr, bioimageio.spec.model.v0_5.ScaleLinearDescr, bioimageio.spec.model.v0_5.SigmoidDescr, bioimageio.spec.model.v0_5.FixedZeroMeanUnitVarianceDescr, bioimageio.spec.model.v0_5.ZeroMeanUnitVarianceDescr, bioimageio.spec.model.v0_5.ScaleRangeDescr], FieldInfo(annotation=NoneType, required=True, discriminator='id')]"}, "bioimageio.spec.model.v0_5.PostprocessingDescr": {"fullname": "bioimageio.spec.model.v0_5.PostprocessingDescr", "modulename": "bioimageio.spec.model.v0_5", "qualname": "PostprocessingDescr", "kind": "variable", "doc": "

\n", "default_value": "typing.Annotated[typing.Union[bioimageio.spec.model.v0_5.BinarizeDescr, bioimageio.spec.model.v0_5.ClipDescr, bioimageio.spec.model.v0_5.EnsureDtypeDescr, bioimageio.spec.model.v0_5.ScaleLinearDescr, bioimageio.spec.model.v0_5.SigmoidDescr, bioimageio.spec.model.v0_5.FixedZeroMeanUnitVarianceDescr, bioimageio.spec.model.v0_5.ZeroMeanUnitVarianceDescr, bioimageio.spec.model.v0_5.ScaleRangeDescr, bioimageio.spec.model.v0_5.ScaleMeanVarianceDescr], FieldInfo(annotation=NoneType, required=True, discriminator='id')]"}, "bioimageio.spec.model.v0_5.TensorDescrBase": {"fullname": "bioimageio.spec.model.v0_5.TensorDescrBase", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TensorDescrBase", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "bioimageio.spec._internal.node.Node, typing.Generic[~IO_AxisT]"}, "bioimageio.spec.model.v0_5.TensorDescrBase.id": {"fullname": "bioimageio.spec.model.v0_5.TensorDescrBase.id", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TensorDescrBase.id", "kind": "variable", "doc": "

Tensor id. No duplicates are allowed.

\n", "annotation": ": bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, AfterValidator, AfterValidator, Annotated[TypeVar, Predicate], MaxLen]]"}, "bioimageio.spec.model.v0_5.TensorDescrBase.description": {"fullname": "bioimageio.spec.model.v0_5.TensorDescrBase.description", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TensorDescrBase.description", "kind": "variable", "doc": "

free text description

\n", "annotation": ": Annotated[str, MaxLen(max_length=128)]"}, "bioimageio.spec.model.v0_5.TensorDescrBase.axes": {"fullname": "bioimageio.spec.model.v0_5.TensorDescrBase.axes", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TensorDescrBase.axes", "kind": "variable", "doc": "

tensor axes

\n", "annotation": ": Annotated[Sequence[~IO_AxisT], MinLen(min_length=1)]"}, "bioimageio.spec.model.v0_5.TensorDescrBase.shape": {"fullname": "bioimageio.spec.model.v0_5.TensorDescrBase.shape", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TensorDescrBase.shape", "kind": "variable", "doc": "

\n"}, "bioimageio.spec.model.v0_5.TensorDescrBase.test_tensor": {"fullname": "bioimageio.spec.model.v0_5.TensorDescrBase.test_tensor", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TensorDescrBase.test_tensor", "kind": "variable", "doc": "

An example tensor to use for testing.\nUsing the model with the test input tensors is expected to yield the test output tensors.\nEach test tensor has be a an ndarray in the\nnumpy.lib file format.\nThe file extension must be '.npy'.

\n", "annotation": ": bioimageio.spec._internal.io.FileDescr"}, "bioimageio.spec.model.v0_5.TensorDescrBase.sample_tensor": {"fullname": "bioimageio.spec.model.v0_5.TensorDescrBase.sample_tensor", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TensorDescrBase.sample_tensor", "kind": "variable", "doc": "

A sample tensor to illustrate a possible input/output for the model,\nThe sample image primarily serves to inform a human user about an example use case\nand is typically stored as .hdf5, .png or .tiff.\nIt has to be readable by the imageio library\n(numpy's .npy format is not supported).\nThe image dimensionality has to match the number of axes specified in this tensor description.

\n", "annotation": ": Optional[bioimageio.spec._internal.io.FileDescr]"}, "bioimageio.spec.model.v0_5.TensorDescrBase.data": {"fullname": "bioimageio.spec.model.v0_5.TensorDescrBase.data", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TensorDescrBase.data", "kind": "variable", "doc": "

Description of the tensor's data values, optionally per channel.\nIf specified per channel, the data type needs to match across channels.

\n", "annotation": ": Union[bioimageio.spec.model.v0_5.NominalOrOrdinalDataDescr, bioimageio.spec.model.v0_5.IntervalOrRatioDataDescr, Annotated[Sequence[Union[bioimageio.spec.model.v0_5.NominalOrOrdinalDataDescr, bioimageio.spec.model.v0_5.IntervalOrRatioDataDescr]], MinLen(min_length=1)]]"}, "bioimageio.spec.model.v0_5.TensorDescrBase.dtype": {"fullname": "bioimageio.spec.model.v0_5.TensorDescrBase.dtype", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TensorDescrBase.dtype", "kind": "variable", "doc": "

dtype as specified under data.type or data[i].type

\n", "annotation": ": Literal['float32', 'float64', 'uint8', 'int8', 'uint16', 'int16', 'uint32', 'int32', 'uint64', 'int64', 'bool']"}, "bioimageio.spec.model.v0_5.TensorDescrBase.get_axis_sizes_for_array": {"fullname": "bioimageio.spec.model.v0_5.TensorDescrBase.get_axis_sizes_for_array", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TensorDescrBase.get_axis_sizes_for_array", "kind": "function", "doc": "

\n", "signature": "(\tself,\tarray: numpy.ndarray[typing.Any, numpy.dtype[typing.Any]]) -> Dict[bioimageio.spec.model.v0_5.AxisId, int]:", "funcdef": "def"}, "bioimageio.spec.model.v0_5.InputTensorDescr": {"fullname": "bioimageio.spec.model.v0_5.InputTensorDescr", "modulename": "bioimageio.spec.model.v0_5", "qualname": "InputTensorDescr", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "bioimageio.spec._internal.node.Node, typing.Generic[~IO_AxisT]"}, "bioimageio.spec.model.v0_5.InputTensorDescr.id": {"fullname": "bioimageio.spec.model.v0_5.InputTensorDescr.id", "modulename": "bioimageio.spec.model.v0_5", "qualname": "InputTensorDescr.id", "kind": "variable", "doc": "

Input tensor id.\nNo duplicates are allowed across all inputs and outputs.

\n", "annotation": ": bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, AfterValidator, AfterValidator, Annotated[TypeVar, Predicate], MaxLen]]"}, "bioimageio.spec.model.v0_5.InputTensorDescr.optional": {"fullname": "bioimageio.spec.model.v0_5.InputTensorDescr.optional", "modulename": "bioimageio.spec.model.v0_5", "qualname": "InputTensorDescr.optional", "kind": "variable", "doc": "

indicates that this tensor may be None

\n", "annotation": ": bool"}, "bioimageio.spec.model.v0_5.InputTensorDescr.preprocessing": {"fullname": "bioimageio.spec.model.v0_5.InputTensorDescr.preprocessing", "modulename": "bioimageio.spec.model.v0_5", "qualname": "InputTensorDescr.preprocessing", "kind": "variable", "doc": "

Description of how this input should be preprocessed.

\n", "annotation": ": List[Annotated[Union[bioimageio.spec.model.v0_5.BinarizeDescr, bioimageio.spec.model.v0_5.ClipDescr, bioimageio.spec.model.v0_5.EnsureDtypeDescr, bioimageio.spec.model.v0_5.ScaleLinearDescr, bioimageio.spec.model.v0_5.SigmoidDescr, bioimageio.spec.model.v0_5.FixedZeroMeanUnitVarianceDescr, bioimageio.spec.model.v0_5.ZeroMeanUnitVarianceDescr, bioimageio.spec.model.v0_5.ScaleRangeDescr], FieldInfo(annotation=NoneType, required=True, discriminator='id')]]"}, "bioimageio.spec.model.v0_5.convert_axes": {"fullname": "bioimageio.spec.model.v0_5.convert_axes", "modulename": "bioimageio.spec.model.v0_5", "qualname": "convert_axes", "kind": "function", "doc": "

\n", "signature": "(\taxes: str,\t*,\tshape: Union[Sequence[int], bioimageio.spec.model.v0_4.ParameterizedInputShape, bioimageio.spec.model.v0_4.ImplicitOutputShape],\ttensor_type: Literal['input', 'output'],\thalo: Optional[Sequence[int]],\tsize_refs: Mapping[bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, AfterValidator, AfterValidator, Annotated[TypeVar, Predicate]]], Mapping[str, int]]):", "funcdef": "def"}, "bioimageio.spec.model.v0_5.OutputTensorDescr": {"fullname": "bioimageio.spec.model.v0_5.OutputTensorDescr", "modulename": "bioimageio.spec.model.v0_5", "qualname": "OutputTensorDescr", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "bioimageio.spec._internal.node.Node, typing.Generic[~IO_AxisT]"}, "bioimageio.spec.model.v0_5.OutputTensorDescr.id": {"fullname": "bioimageio.spec.model.v0_5.OutputTensorDescr.id", "modulename": "bioimageio.spec.model.v0_5", "qualname": "OutputTensorDescr.id", "kind": "variable", "doc": "

Output tensor id.\nNo duplicates are allowed across all inputs and outputs.

\n", "annotation": ": bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, AfterValidator, AfterValidator, Annotated[TypeVar, Predicate], MaxLen]]"}, "bioimageio.spec.model.v0_5.OutputTensorDescr.postprocessing": {"fullname": "bioimageio.spec.model.v0_5.OutputTensorDescr.postprocessing", "modulename": "bioimageio.spec.model.v0_5", "qualname": "OutputTensorDescr.postprocessing", "kind": "variable", "doc": "

Description of how this output should be postprocessed.

\n", "annotation": ": List[Annotated[Union[bioimageio.spec.model.v0_5.BinarizeDescr, bioimageio.spec.model.v0_5.ClipDescr, bioimageio.spec.model.v0_5.EnsureDtypeDescr, bioimageio.spec.model.v0_5.ScaleLinearDescr, bioimageio.spec.model.v0_5.SigmoidDescr, bioimageio.spec.model.v0_5.FixedZeroMeanUnitVarianceDescr, bioimageio.spec.model.v0_5.ZeroMeanUnitVarianceDescr, bioimageio.spec.model.v0_5.ScaleRangeDescr, bioimageio.spec.model.v0_5.ScaleMeanVarianceDescr], FieldInfo(annotation=NoneType, required=True, discriminator='id')]]"}, "bioimageio.spec.model.v0_5.TensorDescr": {"fullname": "bioimageio.spec.model.v0_5.TensorDescr", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TensorDescr", "kind": "variable", "doc": "

\n", "default_value": "typing.Union[bioimageio.spec.model.v0_5.InputTensorDescr, bioimageio.spec.model.v0_5.OutputTensorDescr]"}, "bioimageio.spec.model.v0_5.validate_tensors": {"fullname": "bioimageio.spec.model.v0_5.validate_tensors", "modulename": "bioimageio.spec.model.v0_5", "qualname": "validate_tensors", "kind": "function", "doc": "

\n", "signature": "(\ttensors: Mapping[bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, AfterValidator, AfterValidator, Annotated[TypeVar, Predicate], MaxLen]], Tuple[Union[bioimageio.spec.model.v0_5.InputTensorDescr, bioimageio.spec.model.v0_5.OutputTensorDescr], numpy.ndarray[Any, numpy.dtype[Any]]]],\ttensor_origin: str):", "funcdef": "def"}, "bioimageio.spec.model.v0_5.EnvironmentFileDescr": {"fullname": "bioimageio.spec.model.v0_5.EnvironmentFileDescr", "modulename": "bioimageio.spec.model.v0_5", "qualname": "EnvironmentFileDescr", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "bioimageio.spec._internal.io.FileDescr"}, "bioimageio.spec.model.v0_5.EnvironmentFileDescr.source": {"fullname": "bioimageio.spec.model.v0_5.EnvironmentFileDescr.source", "modulename": "bioimageio.spec.model.v0_5", "qualname": "EnvironmentFileDescr.source", "kind": "variable", "doc": "

\u2208\ud83d\udce6 Conda environment file.\nAllows to specify custom dependencies, see conda docs:

\n\n\n", "annotation": ": Annotated[Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator(func=<function wo_special_file_name at 0x7f46aaa98680>), PlainSerializer(func=<function _package at 0x7f46aaa998a0>, return_type=PydanticUndefined, when_used='unless-none'), WithSuffix(suffix=('.yaml', '.yml'), case_sensitive=True), FieldInfo(annotation=NoneType, required=True, examples=['environment.yaml'])]"}, "bioimageio.spec.model.v0_5.EnvironmentFileDescr.model_config": {"fullname": "bioimageio.spec.model.v0_5.EnvironmentFileDescr.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "EnvironmentFileDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.EnvironmentFileDescr.model_fields": {"fullname": "bioimageio.spec.model.v0_5.EnvironmentFileDescr.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "EnvironmentFileDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'source': FieldInfo(annotation=Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], required=True, examples=['environment.yaml'], metadata=[AfterValidator(func=<function wo_special_file_name>), PlainSerializer(func=<function _package>, return_type=PydanticUndefined, when_used='unless-none'), WithSuffix(suffix=('.yaml', '.yml'), case_sensitive=True)]), 'sha256': FieldInfo(annotation=Union[Sha256, NoneType], required=False)}"}, "bioimageio.spec.model.v0_5.EnvironmentFileDescr.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.EnvironmentFileDescr.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "EnvironmentFileDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.ArchitectureFromFileDescr": {"fullname": "bioimageio.spec.model.v0_5.ArchitectureFromFileDescr", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ArchitectureFromFileDescr", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "_ArchitectureCallableDescr, bioimageio.spec._internal.io.FileDescr"}, "bioimageio.spec.model.v0_5.ArchitectureFromFileDescr.model_config": {"fullname": "bioimageio.spec.model.v0_5.ArchitectureFromFileDescr.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ArchitectureFromFileDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.ArchitectureFromFileDescr.model_fields": {"fullname": "bioimageio.spec.model.v0_5.ArchitectureFromFileDescr.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ArchitectureFromFileDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'source': FieldInfo(annotation=Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], required=True, metadata=[AfterValidator(func=<function wo_special_file_name>), PlainSerializer(func=<function _package>, return_type=PydanticUndefined, when_used='unless-none')]), 'sha256': FieldInfo(annotation=Union[Sha256, NoneType], required=False), 'callable': FieldInfo(annotation=ValidatedString[Annotated[str, MinLen, AfterValidator, AfterValidator]], required=True, examples=['MyNetworkClass', 'get_my_model']), 'kwargs': FieldInfo(annotation=Dict[str, YamlValue], required=False, default_factory=dict)}"}, "bioimageio.spec.model.v0_5.ArchitectureFromFileDescr.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.ArchitectureFromFileDescr.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ArchitectureFromFileDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.ArchitectureFromLibraryDescr": {"fullname": "bioimageio.spec.model.v0_5.ArchitectureFromLibraryDescr", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ArchitectureFromLibraryDescr", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "_ArchitectureCallableDescr"}, "bioimageio.spec.model.v0_5.ArchitectureFromLibraryDescr.import_from": {"fullname": "bioimageio.spec.model.v0_5.ArchitectureFromLibraryDescr.import_from", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ArchitectureFromLibraryDescr.import_from", "kind": "variable", "doc": "

Where to import the callable from, i.e. from <import_from> import <callable>

\n", "annotation": ": str"}, "bioimageio.spec.model.v0_5.ArchitectureFromLibraryDescr.model_config": {"fullname": "bioimageio.spec.model.v0_5.ArchitectureFromLibraryDescr.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ArchitectureFromLibraryDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.ArchitectureFromLibraryDescr.model_fields": {"fullname": "bioimageio.spec.model.v0_5.ArchitectureFromLibraryDescr.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ArchitectureFromLibraryDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'callable': FieldInfo(annotation=ValidatedString[Annotated[str, MinLen, AfterValidator, AfterValidator]], required=True, examples=['MyNetworkClass', 'get_my_model']), 'kwargs': FieldInfo(annotation=Dict[str, YamlValue], required=False, default_factory=dict), 'import_from': FieldInfo(annotation=str, required=True)}"}, "bioimageio.spec.model.v0_5.ArchitectureFromLibraryDescr.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.ArchitectureFromLibraryDescr.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ArchitectureFromLibraryDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.ArchitectureDescr": {"fullname": "bioimageio.spec.model.v0_5.ArchitectureDescr", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ArchitectureDescr", "kind": "variable", "doc": "

\n", "default_value": "typing.Union[bioimageio.spec.model.v0_5.ArchitectureFromFileDescr, bioimageio.spec.model.v0_5.ArchitectureFromLibraryDescr]"}, "bioimageio.spec.model.v0_5.WeightsEntryDescrBase": {"fullname": "bioimageio.spec.model.v0_5.WeightsEntryDescrBase", "modulename": "bioimageio.spec.model.v0_5", "qualname": "WeightsEntryDescrBase", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "bioimageio.spec._internal.io.FileDescr"}, "bioimageio.spec.model.v0_5.WeightsEntryDescrBase.type": {"fullname": "bioimageio.spec.model.v0_5.WeightsEntryDescrBase.type", "modulename": "bioimageio.spec.model.v0_5", "qualname": "WeightsEntryDescrBase.type", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[Literal['keras_hdf5', 'onnx', 'pytorch_state_dict', 'tensorflow_js', 'tensorflow_saved_model_bundle', 'torchscript']]"}, "bioimageio.spec.model.v0_5.WeightsEntryDescrBase.weights_format_name": {"fullname": "bioimageio.spec.model.v0_5.WeightsEntryDescrBase.weights_format_name", "modulename": "bioimageio.spec.model.v0_5", "qualname": "WeightsEntryDescrBase.weights_format_name", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[str]"}, "bioimageio.spec.model.v0_5.WeightsEntryDescrBase.source": {"fullname": "bioimageio.spec.model.v0_5.WeightsEntryDescrBase.source", "modulename": "bioimageio.spec.model.v0_5", "qualname": "WeightsEntryDescrBase.source", "kind": "variable", "doc": "

\u2208\ud83d\udce6 The weights file.

\n", "annotation": ": Annotated[Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator(func=<function wo_special_file_name at 0x7f46aaa98680>), PlainSerializer(func=<function _package at 0x7f46aaa998a0>, return_type=PydanticUndefined, when_used='unless-none')]"}, "bioimageio.spec.model.v0_5.WeightsEntryDescrBase.authors": {"fullname": "bioimageio.spec.model.v0_5.WeightsEntryDescrBase.authors", "modulename": "bioimageio.spec.model.v0_5", "qualname": "WeightsEntryDescrBase.authors", "kind": "variable", "doc": "

Authors\nEither the person(s) that have trained this model resulting in the original weights file.\n (If this is the initial weights entry, i.e. it does not have a parent)\nOr the person(s) who have converted the weights to this weights format.\n (If this is a child weight, i.e. it has a parent field)

\n", "annotation": ": Optional[List[bioimageio.spec.generic.v0_3.Author]]"}, "bioimageio.spec.model.v0_5.WeightsEntryDescrBase.parent": {"fullname": "bioimageio.spec.model.v0_5.WeightsEntryDescrBase.parent", "modulename": "bioimageio.spec.model.v0_5", "qualname": "WeightsEntryDescrBase.parent", "kind": "variable", "doc": "

The source weights these weights were converted from.\nFor example, if a model's weights were converted from the pytorch_state_dict format to torchscript,\nThe pytorch_state_dict weights entry has no parent and is the parent of the torchscript weights.\nAll weight entries except one (the initial set of weights resulting from training the model),\nneed to have this field.

\n", "annotation": ": Annotated[Optional[Literal['keras_hdf5', 'onnx', 'pytorch_state_dict', 'tensorflow_js', 'tensorflow_saved_model_bundle', 'torchscript']], FieldInfo(annotation=NoneType, required=True, examples=['pytorch_state_dict'])]"}, "bioimageio.spec.model.v0_5.WeightsEntryDescrBase.check_parent_is_not_self": {"fullname": "bioimageio.spec.model.v0_5.WeightsEntryDescrBase.check_parent_is_not_self", "modulename": "bioimageio.spec.model.v0_5", "qualname": "WeightsEntryDescrBase.check_parent_is_not_self", "kind": "function", "doc": "

\n", "signature": "(self) -> Self:", "funcdef": "def"}, "bioimageio.spec.model.v0_5.WeightsEntryDescrBase.model_config": {"fullname": "bioimageio.spec.model.v0_5.WeightsEntryDescrBase.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "WeightsEntryDescrBase.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.WeightsEntryDescrBase.model_fields": {"fullname": "bioimageio.spec.model.v0_5.WeightsEntryDescrBase.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "WeightsEntryDescrBase.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'source': FieldInfo(annotation=Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], required=True, metadata=[AfterValidator(func=<function wo_special_file_name>), PlainSerializer(func=<function _package>, return_type=PydanticUndefined, when_used='unless-none')]), 'sha256': FieldInfo(annotation=Union[Sha256, NoneType], required=False), 'authors': FieldInfo(annotation=Union[List[Author], NoneType], required=False), 'parent': FieldInfo(annotation=Union[Literal['keras_hdf5', 'onnx', 'pytorch_state_dict', 'tensorflow_js', 'tensorflow_saved_model_bundle', 'torchscript'], NoneType], required=False, examples=['pytorch_state_dict'])}"}, "bioimageio.spec.model.v0_5.WeightsEntryDescrBase.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.WeightsEntryDescrBase.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "WeightsEntryDescrBase.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.KerasHdf5WeightsDescr": {"fullname": "bioimageio.spec.model.v0_5.KerasHdf5WeightsDescr", "modulename": "bioimageio.spec.model.v0_5", "qualname": "KerasHdf5WeightsDescr", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "WeightsEntryDescrBase"}, "bioimageio.spec.model.v0_5.KerasHdf5WeightsDescr.type": {"fullname": "bioimageio.spec.model.v0_5.KerasHdf5WeightsDescr.type", "modulename": "bioimageio.spec.model.v0_5", "qualname": "KerasHdf5WeightsDescr.type", "kind": "variable", "doc": "

\n", "default_value": "'keras_hdf5'"}, "bioimageio.spec.model.v0_5.KerasHdf5WeightsDescr.weights_format_name": {"fullname": "bioimageio.spec.model.v0_5.KerasHdf5WeightsDescr.weights_format_name", "modulename": "bioimageio.spec.model.v0_5", "qualname": "KerasHdf5WeightsDescr.weights_format_name", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[str]", "default_value": "'Keras HDF5'"}, "bioimageio.spec.model.v0_5.KerasHdf5WeightsDescr.tensorflow_version": {"fullname": "bioimageio.spec.model.v0_5.KerasHdf5WeightsDescr.tensorflow_version", "modulename": "bioimageio.spec.model.v0_5", "qualname": "KerasHdf5WeightsDescr.tensorflow_version", "kind": "variable", "doc": "

TensorFlow version used to create these weights.

\n", "annotation": ": bioimageio.spec._internal.version_type.Version"}, "bioimageio.spec.model.v0_5.KerasHdf5WeightsDescr.model_config": {"fullname": "bioimageio.spec.model.v0_5.KerasHdf5WeightsDescr.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "KerasHdf5WeightsDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.KerasHdf5WeightsDescr.model_fields": {"fullname": "bioimageio.spec.model.v0_5.KerasHdf5WeightsDescr.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "KerasHdf5WeightsDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'source': FieldInfo(annotation=Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], required=True, metadata=[AfterValidator(func=<function wo_special_file_name>), PlainSerializer(func=<function _package>, return_type=PydanticUndefined, when_used='unless-none')]), 'sha256': FieldInfo(annotation=Union[Sha256, NoneType], required=False), 'authors': FieldInfo(annotation=Union[List[Author], NoneType], required=False), 'parent': FieldInfo(annotation=Union[Literal['keras_hdf5', 'onnx', 'pytorch_state_dict', 'tensorflow_js', 'tensorflow_saved_model_bundle', 'torchscript'], NoneType], required=False, examples=['pytorch_state_dict']), 'tensorflow_version': FieldInfo(annotation=Version, required=True)}"}, "bioimageio.spec.model.v0_5.KerasHdf5WeightsDescr.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.KerasHdf5WeightsDescr.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "KerasHdf5WeightsDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.OnnxWeightsDescr": {"fullname": "bioimageio.spec.model.v0_5.OnnxWeightsDescr", "modulename": "bioimageio.spec.model.v0_5", "qualname": "OnnxWeightsDescr", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "WeightsEntryDescrBase"}, "bioimageio.spec.model.v0_5.OnnxWeightsDescr.type": {"fullname": "bioimageio.spec.model.v0_5.OnnxWeightsDescr.type", "modulename": "bioimageio.spec.model.v0_5", "qualname": "OnnxWeightsDescr.type", "kind": "variable", "doc": "

\n", "default_value": "'onnx'"}, "bioimageio.spec.model.v0_5.OnnxWeightsDescr.weights_format_name": {"fullname": "bioimageio.spec.model.v0_5.OnnxWeightsDescr.weights_format_name", "modulename": "bioimageio.spec.model.v0_5", "qualname": "OnnxWeightsDescr.weights_format_name", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[str]", "default_value": "'ONNX'"}, "bioimageio.spec.model.v0_5.OnnxWeightsDescr.opset_version": {"fullname": "bioimageio.spec.model.v0_5.OnnxWeightsDescr.opset_version", "modulename": "bioimageio.spec.model.v0_5", "qualname": "OnnxWeightsDescr.opset_version", "kind": "variable", "doc": "

ONNX opset version

\n", "annotation": ": Annotated[int, Ge(ge=7)]"}, "bioimageio.spec.model.v0_5.OnnxWeightsDescr.model_config": {"fullname": "bioimageio.spec.model.v0_5.OnnxWeightsDescr.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "OnnxWeightsDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.OnnxWeightsDescr.model_fields": {"fullname": "bioimageio.spec.model.v0_5.OnnxWeightsDescr.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "OnnxWeightsDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'source': FieldInfo(annotation=Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], required=True, metadata=[AfterValidator(func=<function wo_special_file_name>), PlainSerializer(func=<function _package>, return_type=PydanticUndefined, when_used='unless-none')]), 'sha256': FieldInfo(annotation=Union[Sha256, NoneType], required=False), 'authors': FieldInfo(annotation=Union[List[Author], NoneType], required=False), 'parent': FieldInfo(annotation=Union[Literal['keras_hdf5', 'onnx', 'pytorch_state_dict', 'tensorflow_js', 'tensorflow_saved_model_bundle', 'torchscript'], NoneType], required=False, examples=['pytorch_state_dict']), 'opset_version': FieldInfo(annotation=int, required=True, metadata=[Ge(ge=7)])}"}, "bioimageio.spec.model.v0_5.OnnxWeightsDescr.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.OnnxWeightsDescr.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "OnnxWeightsDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.PytorchStateDictWeightsDescr": {"fullname": "bioimageio.spec.model.v0_5.PytorchStateDictWeightsDescr", "modulename": "bioimageio.spec.model.v0_5", "qualname": "PytorchStateDictWeightsDescr", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "WeightsEntryDescrBase"}, "bioimageio.spec.model.v0_5.PytorchStateDictWeightsDescr.type": {"fullname": "bioimageio.spec.model.v0_5.PytorchStateDictWeightsDescr.type", "modulename": "bioimageio.spec.model.v0_5", "qualname": "PytorchStateDictWeightsDescr.type", "kind": "variable", "doc": "

\n", "default_value": "'pytorch_state_dict'"}, "bioimageio.spec.model.v0_5.PytorchStateDictWeightsDescr.weights_format_name": {"fullname": "bioimageio.spec.model.v0_5.PytorchStateDictWeightsDescr.weights_format_name", "modulename": "bioimageio.spec.model.v0_5", "qualname": "PytorchStateDictWeightsDescr.weights_format_name", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[str]", "default_value": "'Pytorch State Dict'"}, "bioimageio.spec.model.v0_5.PytorchStateDictWeightsDescr.architecture": {"fullname": "bioimageio.spec.model.v0_5.PytorchStateDictWeightsDescr.architecture", "modulename": "bioimageio.spec.model.v0_5", "qualname": "PytorchStateDictWeightsDescr.architecture", "kind": "variable", "doc": "

\n", "annotation": ": Union[bioimageio.spec.model.v0_5.ArchitectureFromFileDescr, bioimageio.spec.model.v0_5.ArchitectureFromLibraryDescr]"}, "bioimageio.spec.model.v0_5.PytorchStateDictWeightsDescr.pytorch_version": {"fullname": "bioimageio.spec.model.v0_5.PytorchStateDictWeightsDescr.pytorch_version", "modulename": "bioimageio.spec.model.v0_5", "qualname": "PytorchStateDictWeightsDescr.pytorch_version", "kind": "variable", "doc": "

Version of the PyTorch library used.\nIf architecture.depencencies is specified it has to include pytorch and any version pinning has to be compatible.

\n", "annotation": ": bioimageio.spec._internal.version_type.Version"}, "bioimageio.spec.model.v0_5.PytorchStateDictWeightsDescr.dependencies": {"fullname": "bioimageio.spec.model.v0_5.PytorchStateDictWeightsDescr.dependencies", "modulename": "bioimageio.spec.model.v0_5", "qualname": "PytorchStateDictWeightsDescr.dependencies", "kind": "variable", "doc": "

Custom depencies beyond pytorch.\nThe conda environment file should include pytorch and any version pinning has to be compatible with\npytorch_version.

\n", "annotation": ": Optional[bioimageio.spec.model.v0_5.EnvironmentFileDescr]"}, "bioimageio.spec.model.v0_5.PytorchStateDictWeightsDescr.model_config": {"fullname": "bioimageio.spec.model.v0_5.PytorchStateDictWeightsDescr.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "PytorchStateDictWeightsDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.PytorchStateDictWeightsDescr.model_fields": {"fullname": "bioimageio.spec.model.v0_5.PytorchStateDictWeightsDescr.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "PytorchStateDictWeightsDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'source': FieldInfo(annotation=Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], required=True, metadata=[AfterValidator(func=<function wo_special_file_name>), PlainSerializer(func=<function _package>, return_type=PydanticUndefined, when_used='unless-none')]), 'sha256': FieldInfo(annotation=Union[Sha256, NoneType], required=False), 'authors': FieldInfo(annotation=Union[List[Author], NoneType], required=False), 'parent': FieldInfo(annotation=Union[Literal['keras_hdf5', 'onnx', 'pytorch_state_dict', 'tensorflow_js', 'tensorflow_saved_model_bundle', 'torchscript'], NoneType], required=False, examples=['pytorch_state_dict']), 'architecture': FieldInfo(annotation=Union[ArchitectureFromFileDescr, ArchitectureFromLibraryDescr], required=True), 'pytorch_version': FieldInfo(annotation=Version, required=True), 'dependencies': FieldInfo(annotation=Union[EnvironmentFileDescr, NoneType], required=False)}"}, "bioimageio.spec.model.v0_5.PytorchStateDictWeightsDescr.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.PytorchStateDictWeightsDescr.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "PytorchStateDictWeightsDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.TensorflowJsWeightsDescr": {"fullname": "bioimageio.spec.model.v0_5.TensorflowJsWeightsDescr", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TensorflowJsWeightsDescr", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "WeightsEntryDescrBase"}, "bioimageio.spec.model.v0_5.TensorflowJsWeightsDescr.type": {"fullname": "bioimageio.spec.model.v0_5.TensorflowJsWeightsDescr.type", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TensorflowJsWeightsDescr.type", "kind": "variable", "doc": "

\n", "default_value": "'tensorflow_js'"}, "bioimageio.spec.model.v0_5.TensorflowJsWeightsDescr.weights_format_name": {"fullname": "bioimageio.spec.model.v0_5.TensorflowJsWeightsDescr.weights_format_name", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TensorflowJsWeightsDescr.weights_format_name", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[str]", "default_value": "'Tensorflow.js'"}, "bioimageio.spec.model.v0_5.TensorflowJsWeightsDescr.tensorflow_version": {"fullname": "bioimageio.spec.model.v0_5.TensorflowJsWeightsDescr.tensorflow_version", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TensorflowJsWeightsDescr.tensorflow_version", "kind": "variable", "doc": "

Version of the TensorFlow library used.

\n", "annotation": ": bioimageio.spec._internal.version_type.Version"}, "bioimageio.spec.model.v0_5.TensorflowJsWeightsDescr.source": {"fullname": "bioimageio.spec.model.v0_5.TensorflowJsWeightsDescr.source", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TensorflowJsWeightsDescr.source", "kind": "variable", "doc": "

\u2208\ud83d\udce6 The multi-file weights.\nAll required files/folders should be a zip archive.

\n", "annotation": ": Annotated[Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator(func=<function wo_special_file_name at 0x7f46aaa98680>), PlainSerializer(func=<function _package at 0x7f46aaa998a0>, return_type=PydanticUndefined, when_used='unless-none')]"}, "bioimageio.spec.model.v0_5.TensorflowJsWeightsDescr.model_config": {"fullname": "bioimageio.spec.model.v0_5.TensorflowJsWeightsDescr.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TensorflowJsWeightsDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.TensorflowJsWeightsDescr.model_fields": {"fullname": "bioimageio.spec.model.v0_5.TensorflowJsWeightsDescr.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TensorflowJsWeightsDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'source': FieldInfo(annotation=Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], required=True, metadata=[AfterValidator(func=<function wo_special_file_name>), PlainSerializer(func=<function _package>, return_type=PydanticUndefined, when_used='unless-none')]), 'sha256': FieldInfo(annotation=Union[Sha256, NoneType], required=False), 'authors': FieldInfo(annotation=Union[List[Author], NoneType], required=False), 'parent': FieldInfo(annotation=Union[Literal['keras_hdf5', 'onnx', 'pytorch_state_dict', 'tensorflow_js', 'tensorflow_saved_model_bundle', 'torchscript'], NoneType], required=False, examples=['pytorch_state_dict']), 'tensorflow_version': FieldInfo(annotation=Version, required=True)}"}, "bioimageio.spec.model.v0_5.TensorflowJsWeightsDescr.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.TensorflowJsWeightsDescr.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TensorflowJsWeightsDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.TensorflowSavedModelBundleWeightsDescr": {"fullname": "bioimageio.spec.model.v0_5.TensorflowSavedModelBundleWeightsDescr", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TensorflowSavedModelBundleWeightsDescr", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "WeightsEntryDescrBase"}, "bioimageio.spec.model.v0_5.TensorflowSavedModelBundleWeightsDescr.type": {"fullname": "bioimageio.spec.model.v0_5.TensorflowSavedModelBundleWeightsDescr.type", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TensorflowSavedModelBundleWeightsDescr.type", "kind": "variable", "doc": "

\n", "default_value": "'tensorflow_saved_model_bundle'"}, "bioimageio.spec.model.v0_5.TensorflowSavedModelBundleWeightsDescr.weights_format_name": {"fullname": "bioimageio.spec.model.v0_5.TensorflowSavedModelBundleWeightsDescr.weights_format_name", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TensorflowSavedModelBundleWeightsDescr.weights_format_name", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[str]", "default_value": "'Tensorflow Saved Model'"}, "bioimageio.spec.model.v0_5.TensorflowSavedModelBundleWeightsDescr.tensorflow_version": {"fullname": "bioimageio.spec.model.v0_5.TensorflowSavedModelBundleWeightsDescr.tensorflow_version", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TensorflowSavedModelBundleWeightsDescr.tensorflow_version", "kind": "variable", "doc": "

Version of the TensorFlow library used.

\n", "annotation": ": bioimageio.spec._internal.version_type.Version"}, "bioimageio.spec.model.v0_5.TensorflowSavedModelBundleWeightsDescr.dependencies": {"fullname": "bioimageio.spec.model.v0_5.TensorflowSavedModelBundleWeightsDescr.dependencies", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TensorflowSavedModelBundleWeightsDescr.dependencies", "kind": "variable", "doc": "

Custom dependencies beyond tensorflow.\nShould include tensorflow and any version pinning has to be compatible with tensorflow_version.

\n", "annotation": ": Optional[bioimageio.spec.model.v0_5.EnvironmentFileDescr]"}, "bioimageio.spec.model.v0_5.TensorflowSavedModelBundleWeightsDescr.source": {"fullname": "bioimageio.spec.model.v0_5.TensorflowSavedModelBundleWeightsDescr.source", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TensorflowSavedModelBundleWeightsDescr.source", "kind": "variable", "doc": "

\u2208\ud83d\udce6 The multi-file weights.\nAll required files/folders should be a zip archive.

\n", "annotation": ": Annotated[Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator(func=<function wo_special_file_name at 0x7f46aaa98680>), PlainSerializer(func=<function _package at 0x7f46aaa998a0>, return_type=PydanticUndefined, when_used='unless-none')]"}, "bioimageio.spec.model.v0_5.TensorflowSavedModelBundleWeightsDescr.model_config": {"fullname": "bioimageio.spec.model.v0_5.TensorflowSavedModelBundleWeightsDescr.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TensorflowSavedModelBundleWeightsDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.TensorflowSavedModelBundleWeightsDescr.model_fields": {"fullname": "bioimageio.spec.model.v0_5.TensorflowSavedModelBundleWeightsDescr.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TensorflowSavedModelBundleWeightsDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'source': FieldInfo(annotation=Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], required=True, metadata=[AfterValidator(func=<function wo_special_file_name>), PlainSerializer(func=<function _package>, return_type=PydanticUndefined, when_used='unless-none')]), 'sha256': FieldInfo(annotation=Union[Sha256, NoneType], required=False), 'authors': FieldInfo(annotation=Union[List[Author], NoneType], required=False), 'parent': FieldInfo(annotation=Union[Literal['keras_hdf5', 'onnx', 'pytorch_state_dict', 'tensorflow_js', 'tensorflow_saved_model_bundle', 'torchscript'], NoneType], required=False, examples=['pytorch_state_dict']), 'tensorflow_version': FieldInfo(annotation=Version, required=True), 'dependencies': FieldInfo(annotation=Union[EnvironmentFileDescr, NoneType], required=False)}"}, "bioimageio.spec.model.v0_5.TensorflowSavedModelBundleWeightsDescr.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.TensorflowSavedModelBundleWeightsDescr.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TensorflowSavedModelBundleWeightsDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.TorchscriptWeightsDescr": {"fullname": "bioimageio.spec.model.v0_5.TorchscriptWeightsDescr", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TorchscriptWeightsDescr", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "WeightsEntryDescrBase"}, "bioimageio.spec.model.v0_5.TorchscriptWeightsDescr.type": {"fullname": "bioimageio.spec.model.v0_5.TorchscriptWeightsDescr.type", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TorchscriptWeightsDescr.type", "kind": "variable", "doc": "

\n", "default_value": "'torchscript'"}, "bioimageio.spec.model.v0_5.TorchscriptWeightsDescr.weights_format_name": {"fullname": "bioimageio.spec.model.v0_5.TorchscriptWeightsDescr.weights_format_name", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TorchscriptWeightsDescr.weights_format_name", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[str]", "default_value": "'TorchScript'"}, "bioimageio.spec.model.v0_5.TorchscriptWeightsDescr.pytorch_version": {"fullname": "bioimageio.spec.model.v0_5.TorchscriptWeightsDescr.pytorch_version", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TorchscriptWeightsDescr.pytorch_version", "kind": "variable", "doc": "

Version of the PyTorch library used.

\n", "annotation": ": bioimageio.spec._internal.version_type.Version"}, "bioimageio.spec.model.v0_5.TorchscriptWeightsDescr.model_config": {"fullname": "bioimageio.spec.model.v0_5.TorchscriptWeightsDescr.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TorchscriptWeightsDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.TorchscriptWeightsDescr.model_fields": {"fullname": "bioimageio.spec.model.v0_5.TorchscriptWeightsDescr.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TorchscriptWeightsDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'source': FieldInfo(annotation=Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], required=True, metadata=[AfterValidator(func=<function wo_special_file_name>), PlainSerializer(func=<function _package>, return_type=PydanticUndefined, when_used='unless-none')]), 'sha256': FieldInfo(annotation=Union[Sha256, NoneType], required=False), 'authors': FieldInfo(annotation=Union[List[Author], NoneType], required=False), 'parent': FieldInfo(annotation=Union[Literal['keras_hdf5', 'onnx', 'pytorch_state_dict', 'tensorflow_js', 'tensorflow_saved_model_bundle', 'torchscript'], NoneType], required=False, examples=['pytorch_state_dict']), 'pytorch_version': FieldInfo(annotation=Version, required=True)}"}, "bioimageio.spec.model.v0_5.TorchscriptWeightsDescr.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.TorchscriptWeightsDescr.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TorchscriptWeightsDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.WeightsDescr": {"fullname": "bioimageio.spec.model.v0_5.WeightsDescr", "modulename": "bioimageio.spec.model.v0_5", "qualname": "WeightsDescr", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "bioimageio.spec._internal.node.Node"}, "bioimageio.spec.model.v0_5.WeightsDescr.keras_hdf5": {"fullname": "bioimageio.spec.model.v0_5.WeightsDescr.keras_hdf5", "modulename": "bioimageio.spec.model.v0_5", "qualname": "WeightsDescr.keras_hdf5", "kind": "variable", "doc": "

\n", "annotation": ": Optional[bioimageio.spec.model.v0_5.KerasHdf5WeightsDescr]"}, "bioimageio.spec.model.v0_5.WeightsDescr.onnx": {"fullname": "bioimageio.spec.model.v0_5.WeightsDescr.onnx", "modulename": "bioimageio.spec.model.v0_5", "qualname": "WeightsDescr.onnx", "kind": "variable", "doc": "

\n", "annotation": ": Optional[bioimageio.spec.model.v0_5.OnnxWeightsDescr]"}, "bioimageio.spec.model.v0_5.WeightsDescr.pytorch_state_dict": {"fullname": "bioimageio.spec.model.v0_5.WeightsDescr.pytorch_state_dict", "modulename": "bioimageio.spec.model.v0_5", "qualname": "WeightsDescr.pytorch_state_dict", "kind": "variable", "doc": "

\n", "annotation": ": Optional[bioimageio.spec.model.v0_5.PytorchStateDictWeightsDescr]"}, "bioimageio.spec.model.v0_5.WeightsDescr.tensorflow_js": {"fullname": "bioimageio.spec.model.v0_5.WeightsDescr.tensorflow_js", "modulename": "bioimageio.spec.model.v0_5", "qualname": "WeightsDescr.tensorflow_js", "kind": "variable", "doc": "

\n", "annotation": ": Optional[bioimageio.spec.model.v0_5.TensorflowJsWeightsDescr]"}, "bioimageio.spec.model.v0_5.WeightsDescr.tensorflow_saved_model_bundle": {"fullname": "bioimageio.spec.model.v0_5.WeightsDescr.tensorflow_saved_model_bundle", "modulename": "bioimageio.spec.model.v0_5", "qualname": "WeightsDescr.tensorflow_saved_model_bundle", "kind": "variable", "doc": "

\n", "annotation": ": Optional[bioimageio.spec.model.v0_5.TensorflowSavedModelBundleWeightsDescr]"}, "bioimageio.spec.model.v0_5.WeightsDescr.torchscript": {"fullname": "bioimageio.spec.model.v0_5.WeightsDescr.torchscript", "modulename": "bioimageio.spec.model.v0_5", "qualname": "WeightsDescr.torchscript", "kind": "variable", "doc": "

\n", "annotation": ": Optional[bioimageio.spec.model.v0_5.TorchscriptWeightsDescr]"}, "bioimageio.spec.model.v0_5.WeightsDescr.check_entries": {"fullname": "bioimageio.spec.model.v0_5.WeightsDescr.check_entries", "modulename": "bioimageio.spec.model.v0_5", "qualname": "WeightsDescr.check_entries", "kind": "function", "doc": "

\n", "signature": "(self) -> Self:", "funcdef": "def"}, "bioimageio.spec.model.v0_5.WeightsDescr.model_config": {"fullname": "bioimageio.spec.model.v0_5.WeightsDescr.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "WeightsDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.WeightsDescr.model_fields": {"fullname": "bioimageio.spec.model.v0_5.WeightsDescr.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "WeightsDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'keras_hdf5': FieldInfo(annotation=Union[KerasHdf5WeightsDescr, NoneType], required=False), 'onnx': FieldInfo(annotation=Union[OnnxWeightsDescr, NoneType], required=False), 'pytorch_state_dict': FieldInfo(annotation=Union[PytorchStateDictWeightsDescr, NoneType], required=False), 'tensorflow_js': FieldInfo(annotation=Union[TensorflowJsWeightsDescr, NoneType], required=False), 'tensorflow_saved_model_bundle': FieldInfo(annotation=Union[TensorflowSavedModelBundleWeightsDescr, NoneType], required=False), 'torchscript': FieldInfo(annotation=Union[TorchscriptWeightsDescr, NoneType], required=False)}"}, "bioimageio.spec.model.v0_5.WeightsDescr.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.WeightsDescr.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "WeightsDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.LinkedModel": {"fullname": "bioimageio.spec.model.v0_5.LinkedModel", "modulename": "bioimageio.spec.model.v0_5", "qualname": "LinkedModel", "kind": "class", "doc": "

Reference to a bioimage.io model.

\n", "bases": "bioimageio.spec._internal.node.Node"}, "bioimageio.spec.model.v0_5.LinkedModel.id": {"fullname": "bioimageio.spec.model.v0_5.LinkedModel.id", "modulename": "bioimageio.spec.model.v0_5", "qualname": "LinkedModel.id", "kind": "variable", "doc": "

A valid model id from the bioimage.io collection.

\n", "annotation": ": bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]]"}, "bioimageio.spec.model.v0_5.LinkedModel.version_number": {"fullname": "bioimageio.spec.model.v0_5.LinkedModel.version_number", "modulename": "bioimageio.spec.model.v0_5", "qualname": "LinkedModel.version_number", "kind": "variable", "doc": "

version number (n-th published version, not the semantic version) of linked model

\n", "annotation": ": int"}, "bioimageio.spec.model.v0_5.LinkedModel.model_config": {"fullname": "bioimageio.spec.model.v0_5.LinkedModel.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "LinkedModel.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.LinkedModel.model_fields": {"fullname": "bioimageio.spec.model.v0_5.LinkedModel.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "LinkedModel.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'id': FieldInfo(annotation=ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]], required=True), 'version_number': FieldInfo(annotation=int, required=True)}"}, "bioimageio.spec.model.v0_5.LinkedModel.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.LinkedModel.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "LinkedModel.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.ModelDescr": {"fullname": "bioimageio.spec.model.v0_5.ModelDescr", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ModelDescr", "kind": "class", "doc": "

Specification of the fields used in a bioimage.io-compliant RDF to describe AI models with pretrained weights.\nThese fields are typically stored in a YAML file which we call a model resource description file (model RDF).

\n", "bases": "bioimageio.spec.generic.v0_3.GenericModelDescrBase"}, "bioimageio.spec.model.v0_5.ModelDescr.format_version": {"fullname": "bioimageio.spec.model.v0_5.ModelDescr.format_version", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ModelDescr.format_version", "kind": "variable", "doc": "

Version of the bioimage.io model description specification used.\nWhen creating a new model always use the latest micro/patch version described here.\nThe format_version is important for any consumer software to understand how to parse the fields.

\n", "annotation": ": Literal['0.5.0']"}, "bioimageio.spec.model.v0_5.ModelDescr.type": {"fullname": "bioimageio.spec.model.v0_5.ModelDescr.type", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ModelDescr.type", "kind": "variable", "doc": "

Specialized resource type 'model'

\n", "annotation": ": Literal['model']"}, "bioimageio.spec.model.v0_5.ModelDescr.id": {"fullname": "bioimageio.spec.model.v0_5.ModelDescr.id", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ModelDescr.id", "kind": "variable", "doc": "

Model zoo (bioimage.io) wide, unique identifier (assigned by bioimage.io)

\n", "annotation": ": Optional[bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]]]"}, "bioimageio.spec.model.v0_5.ModelDescr.authors": {"fullname": "bioimageio.spec.model.v0_5.ModelDescr.authors", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ModelDescr.authors", "kind": "variable", "doc": "

The authors are the creators of the model RDF and the primary points of contact.

\n", "annotation": ": Annotated[List[bioimageio.spec.generic.v0_3.Author], MinLen(min_length=1)]"}, "bioimageio.spec.model.v0_5.ModelDescr.documentation": {"fullname": "bioimageio.spec.model.v0_5.ModelDescr.documentation", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ModelDescr.documentation", "kind": "variable", "doc": "

\u2208\ud83d\udce6 URL or relative path to a markdown file with additional documentation.\nThe recommended documentation file name is README.md. An .md suffix is mandatory.\nThe documentation should include a '#[#] Validation' (sub)section\nwith details on how to quantitatively validate the model on unseen data.

\n", "annotation": ": Annotated[Union[Annotated[pathlib.Path, PathType(path_type='file'), Predicate(func=<function PurePath.is_absolute at 0x7f46ae045940>)], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl], AfterValidator(func=<function _validate_md_suffix at 0x7f46aab5ade0>), PlainSerializer(func=<function _package at 0x7f46aaa998a0>, return_type=PydanticUndefined, when_used='unless-none'), FieldInfo(annotation=NoneType, required=True, examples=['https://raw.githubusercontent.com/bioimage-io/spec-bioimage-io/main/example_descriptions/models/unet2d_nuclei_broad/README.md', 'README.md'])]"}, "bioimageio.spec.model.v0_5.ModelDescr.inputs": {"fullname": "bioimageio.spec.model.v0_5.ModelDescr.inputs", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ModelDescr.inputs", "kind": "variable", "doc": "

Describes the input tensors expected by this model.

\n", "annotation": ": Annotated[Sequence[bioimageio.spec.model.v0_5.InputTensorDescr], MinLen(min_length=1)]"}, "bioimageio.spec.model.v0_5.ModelDescr.name": {"fullname": "bioimageio.spec.model.v0_5.ModelDescr.name", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ModelDescr.name", "kind": "variable", "doc": "

A human-readable name of this model.\nIt should be no longer than 64 characters\nand may only contain letter, number, underscore, minus, parentheses and spaces.\nWe recommend to chose a name that refers to the model's task and image modality.

\n", "annotation": ": Annotated[str, RestrictCharacters(alphabet='abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789_- ()'), MinLen(min_length=5), MaxLen(max_length=128), AfterWarner(func=<function as_warning.<locals>.wrapper at 0x7f469bea4680>, severity=20, msg='Name longer than 64 characters.', context={'typ': Annotated[Any, MaxLen(max_length=64)]})]"}, "bioimageio.spec.model.v0_5.ModelDescr.outputs": {"fullname": "bioimageio.spec.model.v0_5.ModelDescr.outputs", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ModelDescr.outputs", "kind": "variable", "doc": "

Describes the output tensors.

\n", "annotation": ": Annotated[Sequence[bioimageio.spec.model.v0_5.OutputTensorDescr], MinLen(min_length=1)]"}, "bioimageio.spec.model.v0_5.ModelDescr.packaged_by": {"fullname": "bioimageio.spec.model.v0_5.ModelDescr.packaged_by", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ModelDescr.packaged_by", "kind": "variable", "doc": "

The persons that have packaged and uploaded this model.\nOnly required if those persons differ from the authors.

\n", "annotation": ": List[bioimageio.spec.generic.v0_3.Author]"}, "bioimageio.spec.model.v0_5.ModelDescr.parent": {"fullname": "bioimageio.spec.model.v0_5.ModelDescr.parent", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ModelDescr.parent", "kind": "variable", "doc": "

The model from which this model is derived, e.g. by fine-tuning the weights.

\n", "annotation": ": Optional[bioimageio.spec.model.v0_5.LinkedModel]"}, "bioimageio.spec.model.v0_5.ModelDescr.run_mode": {"fullname": "bioimageio.spec.model.v0_5.ModelDescr.run_mode", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ModelDescr.run_mode", "kind": "variable", "doc": "

Custom run mode for this model: for more complex prediction procedures like test time\ndata augmentation that currently cannot be expressed in the specification.\nNo standard run modes are defined yet.

\n", "annotation": ": Annotated[Optional[bioimageio.spec.model.v0_4.RunMode], AfterWarner(func=<function as_warning.<locals>.wrapper at 0x7f469bea6fc0>, severity=30, msg="Run mode '{value}' has limited support across consumer softwares.", context={'typ': None})]"}, "bioimageio.spec.model.v0_5.ModelDescr.timestamp": {"fullname": "bioimageio.spec.model.v0_5.ModelDescr.timestamp", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ModelDescr.timestamp", "kind": "variable", "doc": "

Timestamp in ISO 8601 format\nwith a few restrictions listed here.\n(In Python a datetime object is valid, too).

\n", "annotation": ": bioimageio.spec._internal.types.Datetime"}, "bioimageio.spec.model.v0_5.ModelDescr.training_data": {"fullname": "bioimageio.spec.model.v0_5.ModelDescr.training_data", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ModelDescr.training_data", "kind": "variable", "doc": "

The dataset used to train this model

\n", "annotation": ": Union[bioimageio.spec.dataset.v0_3.LinkedDataset, bioimageio.spec.dataset.v0_3.DatasetDescr, NoneType]"}, "bioimageio.spec.model.v0_5.ModelDescr.weights": {"fullname": "bioimageio.spec.model.v0_5.ModelDescr.weights", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ModelDescr.weights", "kind": "variable", "doc": "

The weights for this model.\nWeights can be given for different formats, but should otherwise be equivalent.\nThe available weight formats determine which consumers can use this model.

\n", "annotation": ": bioimageio.spec.model.v0_5.WeightsDescr"}, "bioimageio.spec.model.v0_5.ModelDescr.get_input_test_arrays": {"fullname": "bioimageio.spec.model.v0_5.ModelDescr.get_input_test_arrays", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ModelDescr.get_input_test_arrays", "kind": "function", "doc": "

\n", "signature": "(self) -> List[numpy.ndarray[Any, numpy.dtype[Any]]]:", "funcdef": "def"}, "bioimageio.spec.model.v0_5.ModelDescr.get_output_test_arrays": {"fullname": "bioimageio.spec.model.v0_5.ModelDescr.get_output_test_arrays", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ModelDescr.get_output_test_arrays", "kind": "function", "doc": "

\n", "signature": "(self) -> List[numpy.ndarray[Any, numpy.dtype[Any]]]:", "funcdef": "def"}, "bioimageio.spec.model.v0_5.ModelDescr.get_tensor_sizes": {"fullname": "bioimageio.spec.model.v0_5.ModelDescr.get_tensor_sizes", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ModelDescr.get_tensor_sizes", "kind": "function", "doc": "

\n", "signature": "(\tself,\tns: Dict[Tuple[bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, AfterValidator, AfterValidator, Annotated[TypeVar, Predicate], MaxLen]], bioimageio.spec.model.v0_5.AxisId], int],\tbatch_size: int) -> bioimageio.spec.model.v0_5._TensorSizes:", "funcdef": "def"}, "bioimageio.spec.model.v0_5.ModelDescr.implemented_format_version": {"fullname": "bioimageio.spec.model.v0_5.ModelDescr.implemented_format_version", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ModelDescr.implemented_format_version", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[str]", "default_value": "'0.5.0'"}, "bioimageio.spec.model.v0_5.ModelDescr.implemented_format_version_tuple": {"fullname": "bioimageio.spec.model.v0_5.ModelDescr.implemented_format_version_tuple", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ModelDescr.implemented_format_version_tuple", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[Tuple[int, int, int]]", "default_value": "(0, 5, 0)"}, "bioimageio.spec.model.v0_5.ModelDescr.model_config": {"fullname": "bioimageio.spec.model.v0_5.ModelDescr.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ModelDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True, 'title': 'bioimage.io model specification'}"}, "bioimageio.spec.model.v0_5.ModelDescr.model_fields": {"fullname": "bioimageio.spec.model.v0_5.ModelDescr.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ModelDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'name': FieldInfo(annotation=str, required=True, metadata=[RestrictCharacters(alphabet='abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789_- ()'), MinLen(min_length=5), MaxLen(max_length=128), AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=20, msg='Name longer than 64 characters.', context={'typ': typing.Annotated[typing.Any, MaxLen(max_length=64)]})]), 'description': FieldInfo(annotation=str, required=True, metadata=[MaxLen(max_length=1024), AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=30, msg='Description longer than 512 characters.', context={'typ': typing.Annotated[typing.Any, MaxLen(max_length=512)]})]), 'covers': FieldInfo(annotation=List[Annotated[Union[HttpUrl, Annotated[Path, PathType, Predicate], RelativeFilePath], WithSuffix, PlainSerializer]], required=False, default_factory=list, description="Cover images. Please use an image smaller than 500KB and an aspect ratio width to height of 2:1 or 1:1.\\nThe supported image formats are: ('.gif', '.jpeg', '.jpg', '.png', '.svg')", examples=[]), 'id_emoji': FieldInfo(annotation=Union[Annotated[str, Len], NoneType], required=False), 'authors': FieldInfo(annotation=List[Author], required=True, metadata=[MinLen(min_length=1)]), 'attachments': FieldInfo(annotation=List[FileDescr], required=False, default_factory=list), 'cite': FieldInfo(annotation=List[CiteEntry], required=True, metadata=[MinLen(min_length=1)]), 'license': FieldInfo(annotation=Union[LicenseId, DeprecatedLicenseId], required=True, examples=['CC-BY-4.0', 'MIT', 'BSD-2-Clause'], metadata=[AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=30, msg='{value} is deprecated, see https://spdx.org/licenses/{value}.html', context={'typ': <class 'bioimageio.spec._internal.license_id.LicenseId'>})]), 'config': FieldInfo(annotation=Dict[str, YamlValue], required=False, default_factory=dict, examples=[{'bioimageio': {'my_custom_key': 3837283, 'another_key': {'nested': 'value'}}, 'imagej': {'macro_dir': 'path/to/macro/file'}}]), 'git_repo': FieldInfo(annotation=Union[HttpUrl, NoneType], required=False, examples=['https://github.com/bioimage-io/spec-bioimage-io/tree/main/example_descriptions/models/unet2d_nuclei_broad']), 'icon': FieldInfo(annotation=Union[Annotated[Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator, PlainSerializer], Annotated[str, Len], NoneType], required=False), 'links': FieldInfo(annotation=List[str], required=False, default_factory=list, examples=[('ilastik/ilastik', 'deepimagej/deepimagej', 'zero/notebook_u-net_3d_zerocostdl4mic')]), 'uploader': FieldInfo(annotation=Union[Uploader, NoneType], required=False), 'maintainers': FieldInfo(annotation=List[Maintainer], required=False, default_factory=list), 'tags': FieldInfo(annotation=List[str], required=False, default_factory=list, examples=[('unet2d', 'pytorch', 'nucleus', 'segmentation', 'dsb2018')]), 'version': FieldInfo(annotation=Union[Version, NoneType], required=False), 'version_number': FieldInfo(annotation=Union[int, NoneType], required=False), 'format_version': FieldInfo(annotation=Literal['0.5.0'], required=False, default='0.5.0'), 'type': FieldInfo(annotation=Literal['model'], required=False, default='model'), 'id': FieldInfo(annotation=Union[ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]], NoneType], required=False), 'documentation': FieldInfo(annotation=Union[Annotated[Path, PathType, Predicate], RelativeFilePath, HttpUrl], required=True, examples=['https://raw.githubusercontent.com/bioimage-io/spec-bioimage-io/main/example_descriptions/models/unet2d_nuclei_broad/README.md', 'README.md'], metadata=[AfterValidator(func=<function _validate_md_suffix>), PlainSerializer(func=<function _package>, return_type=PydanticUndefined, when_used='unless-none')]), 'inputs': FieldInfo(annotation=Sequence[InputTensorDescr], required=True, metadata=[MinLen(min_length=1)]), 'outputs': FieldInfo(annotation=Sequence[OutputTensorDescr], required=True, metadata=[MinLen(min_length=1)]), 'packaged_by': FieldInfo(annotation=List[Author], required=False, default_factory=list), 'parent': FieldInfo(annotation=Union[LinkedModel, NoneType], required=False), 'run_mode': FieldInfo(annotation=Union[RunMode, NoneType], required=False, metadata=[AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=30, msg="Run mode '{value}' has limited support across consumer softwares.", context={'typ': None})]), 'timestamp': FieldInfo(annotation=Datetime, required=False, default=Datetime(root=datetime.datetime(2024, 3, 20, 20, 44, 5, 703564))), 'training_data': FieldInfo(annotation=Union[LinkedDataset, DatasetDescr, NoneType], required=False), 'weights': FieldInfo(annotation=WeightsDescr, required=True)}"}, "bioimageio.spec.model.v0_5.ModelDescr.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.ModelDescr.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ModelDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.generate_covers": {"fullname": "bioimageio.spec.model.v0_5.generate_covers", "modulename": "bioimageio.spec.model.v0_5", "qualname": "generate_covers", "kind": "function", "doc": "

\n", "signature": "(\tinputs: Sequence[Tuple[bioimageio.spec.model.v0_5.InputTensorDescr, numpy.ndarray[Any, numpy.dtype[Any]]]],\toutputs: Sequence[Tuple[bioimageio.spec.model.v0_5.OutputTensorDescr, numpy.ndarray[Any, numpy.dtype[Any]]]]) -> List[pathlib.Path]:", "funcdef": "def"}, "bioimageio.spec.model.v0_5.TensorDescrBase[Annotated[Union[BatchAxis, ChannelAxis, IndexInputAxis, TimeInputAxis, SpaceInputAxis], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]": {"fullname": "bioimageio.spec.model.v0_5.TensorDescrBase[Annotated[Union[BatchAxis, ChannelAxis, IndexInputAxis, TimeInputAxis, SpaceInputAxis], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TensorDescrBase[Annotated[Union[BatchAxis, ChannelAxis, IndexInputAxis, TimeInputAxis, SpaceInputAxis], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "bioimageio.spec._internal.node.Node, typing.Generic[~IO_AxisT]"}, "bioimageio.spec.model.v0_5.TensorDescrBase[Annotated[Union[BatchAxis, ChannelAxis, IndexOutputAxis, TimeOutputAxis, SpaceOutputAxis], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]": {"fullname": "bioimageio.spec.model.v0_5.TensorDescrBase[Annotated[Union[BatchAxis, ChannelAxis, IndexOutputAxis, TimeOutputAxis, SpaceOutputAxis], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TensorDescrBase[Annotated[Union[BatchAxis, ChannelAxis, IndexOutputAxis, TimeOutputAxis, SpaceOutputAxis], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "bioimageio.spec._internal.node.Node, typing.Generic[~IO_AxisT]"}, "bioimageio.spec.notebook": {"fullname": "bioimageio.spec.notebook", "modulename": "bioimageio.spec.notebook", "kind": "module", "doc": "

implementaions of all released minor versions are available in submodules:

\n\n\n"}, "bioimageio.spec.notebook.AnyNotebookDescr": {"fullname": "bioimageio.spec.notebook.AnyNotebookDescr", "modulename": "bioimageio.spec.notebook", "qualname": "AnyNotebookDescr", "kind": "variable", "doc": "

Union of any released notebook desription

\n", "default_value": "typing.Annotated[typing.Union[bioimageio.spec.notebook.v0_2.NotebookDescr, bioimageio.spec.notebook.v0_3.NotebookDescr], Discriminator(discriminator='format_version', custom_error_type=None, custom_error_message=None, custom_error_context=None)]"}, "bioimageio.spec.notebook.v0_2": {"fullname": "bioimageio.spec.notebook.v0_2", "modulename": "bioimageio.spec.notebook.v0_2", "kind": "module", "doc": "

\n"}, "bioimageio.spec.notebook.v0_2.NotebookSource": {"fullname": "bioimageio.spec.notebook.v0_2.NotebookSource", "modulename": "bioimageio.spec.notebook.v0_2", "qualname": "NotebookSource", "kind": "variable", "doc": "

\n", "default_value": "typing.Union[typing.Annotated[bioimageio.spec._internal.url.HttpUrl, WithSuffix(suffix='.ipynb', case_sensitive=True)], typing.Annotated[pathlib.Path, PathType(path_type='file'), Predicate(func=<function PurePath.is_absolute>), WithSuffix(suffix='.ipynb', case_sensitive=True)], typing.Annotated[bioimageio.spec._internal.io.RelativeFilePath, WithSuffix(suffix='.ipynb', case_sensitive=True)]]"}, "bioimageio.spec.notebook.v0_2.NotebookDescr": {"fullname": "bioimageio.spec.notebook.v0_2.NotebookDescr", "modulename": "bioimageio.spec.notebook.v0_2", "qualname": "NotebookDescr", "kind": "class", "doc": "

Bioimage.io description of a Jupyter Notebook.

\n", "bases": "bioimageio.spec.generic.v0_2.GenericDescrBase"}, "bioimageio.spec.notebook.v0_2.NotebookDescr.type": {"fullname": "bioimageio.spec.notebook.v0_2.NotebookDescr.type", "modulename": "bioimageio.spec.notebook.v0_2", "qualname": "NotebookDescr.type", "kind": "variable", "doc": "

\n", "annotation": ": Literal['notebook']"}, "bioimageio.spec.notebook.v0_2.NotebookDescr.id": {"fullname": "bioimageio.spec.notebook.v0_2.NotebookDescr.id", "modulename": "bioimageio.spec.notebook.v0_2", "qualname": "NotebookDescr.id", "kind": "variable", "doc": "

Model zoo (bioimage.io) wide, unique identifier (assigned by bioimage.io)

\n", "annotation": ": Optional[bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]]]"}, "bioimageio.spec.notebook.v0_2.NotebookDescr.source": {"fullname": "bioimageio.spec.notebook.v0_2.NotebookDescr.source", "modulename": "bioimageio.spec.notebook.v0_2", "qualname": "NotebookDescr.source", "kind": "variable", "doc": "

The Jupyter notebook

\n", "annotation": ": Union[Annotated[bioimageio.spec._internal.url.HttpUrl, WithSuffix(suffix='.ipynb', case_sensitive=True)], Annotated[pathlib.Path, PathType(path_type='file'), Predicate(func=<function PurePath.is_absolute at 0x7f46ae045940>), WithSuffix(suffix='.ipynb', case_sensitive=True)], Annotated[bioimageio.spec._internal.io.RelativeFilePath, WithSuffix(suffix='.ipynb', case_sensitive=True)]]"}, "bioimageio.spec.notebook.v0_2.NotebookDescr.implemented_format_version": {"fullname": "bioimageio.spec.notebook.v0_2.NotebookDescr.implemented_format_version", "modulename": "bioimageio.spec.notebook.v0_2", "qualname": "NotebookDescr.implemented_format_version", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[str]", "default_value": "'0.2.4'"}, "bioimageio.spec.notebook.v0_2.NotebookDescr.implemented_format_version_tuple": {"fullname": "bioimageio.spec.notebook.v0_2.NotebookDescr.implemented_format_version_tuple", "modulename": "bioimageio.spec.notebook.v0_2", "qualname": "NotebookDescr.implemented_format_version_tuple", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[Tuple[int, int, int]]", "default_value": "(0, 2, 4)"}, "bioimageio.spec.notebook.v0_2.NotebookDescr.model_config": {"fullname": "bioimageio.spec.notebook.v0_2.NotebookDescr.model_config", "modulename": "bioimageio.spec.notebook.v0_2", "qualname": "NotebookDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True, 'title': 'bioimage.io notebook specification'}"}, "bioimageio.spec.notebook.v0_2.NotebookDescr.model_fields": {"fullname": "bioimageio.spec.notebook.v0_2.NotebookDescr.model_fields", "modulename": "bioimageio.spec.notebook.v0_2", "qualname": "NotebookDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'name': FieldInfo(annotation=str, required=True, metadata=[MinLen(min_length=1), AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=30, msg='Longer than 128 characters.', context={'typ': typing.Annotated[typing.Any, MaxLen(max_length=128)]})]), 'description': FieldInfo(annotation=str, required=True), 'covers': FieldInfo(annotation=List[Annotated[Union[HttpUrl, Annotated[Path, PathType, Predicate], RelativeFilePath], WithSuffix, PlainSerializer]], required=False, default_factory=list, description="Cover images. Please use an image smaller than 500KB and an aspect ratio width to height of 2:1.\\nThe supported image formats are: ('.gif', '.jpeg', '.jpg', '.png', '.svg')", examples=['cover.png']), 'id_emoji': FieldInfo(annotation=Union[Annotated[str, Len], NoneType], required=False), 'authors': FieldInfo(annotation=List[Author], required=False, default_factory=list), 'attachments': FieldInfo(annotation=Union[AttachmentsDescr, NoneType], required=False), 'cite': FieldInfo(annotation=List[CiteEntry], required=False, default_factory=list), 'config': FieldInfo(annotation=Dict[str, YamlValue], required=False, default_factory=dict, examples=[{'bioimageio': {'my_custom_key': 3837283, 'another_key': {'nested': 'value'}}, 'imagej': {'macro_dir': 'path/to/macro/file'}}]), 'download_url': FieldInfo(annotation=Union[HttpUrl, NoneType], required=False), 'git_repo': FieldInfo(annotation=Union[str, NoneType], required=False, examples=['https://github.com/bioimage-io/spec-bioimage-io/tree/main/example_descriptions/models/unet2d_nuclei_broad']), 'icon': FieldInfo(annotation=Union[Annotated[Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator, PlainSerializer], Annotated[str, Len], NoneType], required=False), 'links': FieldInfo(annotation=List[str], required=False, default_factory=list, examples=[('ilastik/ilastik', 'deepimagej/deepimagej', 'zero/notebook_u-net_3d_zerocostdl4mic')]), 'uploader': FieldInfo(annotation=Union[Uploader, NoneType], required=False), 'maintainers': FieldInfo(annotation=List[Maintainer], required=False, default_factory=list), 'rdf_source': FieldInfo(annotation=Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)], NoneType], required=False), 'tags': FieldInfo(annotation=List[str], required=False, default_factory=list, examples=[('unet2d', 'pytorch', 'nucleus', 'segmentation', 'dsb2018')]), 'version': FieldInfo(annotation=Union[Version, NoneType], required=False), 'version_number': FieldInfo(annotation=Union[int, NoneType], required=False), 'format_version': FieldInfo(annotation=Literal['0.2.4'], required=False, default='0.2.4'), 'badges': FieldInfo(annotation=List[BadgeDescr], required=False, default_factory=list), 'documentation': FieldInfo(annotation=Union[Annotated[Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator, PlainSerializer], NoneType], required=False, examples=['https://raw.githubusercontent.com/bioimage-io/spec-bioimage-io/main/example_descriptions/models/unet2d_nuclei_broad/README.md', 'README.md']), 'license': FieldInfo(annotation=Union[LicenseId, DeprecatedLicenseId, str, NoneType], required=False, examples=['CC-BY-4.0', 'MIT', 'BSD-2-Clause']), 'type': FieldInfo(annotation=Literal['notebook'], required=False, default='notebook'), 'id': FieldInfo(annotation=Union[ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]], NoneType], required=False), 'source': FieldInfo(annotation=Union[Annotated[HttpUrl, WithSuffix], Annotated[Path, PathType, Predicate, WithSuffix], Annotated[RelativeFilePath, WithSuffix]], required=True)}"}, "bioimageio.spec.notebook.v0_2.NotebookDescr.model_computed_fields": {"fullname": "bioimageio.spec.notebook.v0_2.NotebookDescr.model_computed_fields", "modulename": "bioimageio.spec.notebook.v0_2", "qualname": "NotebookDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.notebook.v0_2.LinkedNotebook": {"fullname": "bioimageio.spec.notebook.v0_2.LinkedNotebook", "modulename": "bioimageio.spec.notebook.v0_2", "qualname": "LinkedNotebook", "kind": "class", "doc": "

Reference to a bioimage.io notebook.

\n", "bases": "bioimageio.spec._internal.node.Node"}, "bioimageio.spec.notebook.v0_2.LinkedNotebook.id": {"fullname": "bioimageio.spec.notebook.v0_2.LinkedNotebook.id", "modulename": "bioimageio.spec.notebook.v0_2", "qualname": "LinkedNotebook.id", "kind": "variable", "doc": "

A valid notebook id from the bioimage.io collection.

\n", "annotation": ": bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]]"}, "bioimageio.spec.notebook.v0_2.LinkedNotebook.version_number": {"fullname": "bioimageio.spec.notebook.v0_2.LinkedNotebook.version_number", "modulename": "bioimageio.spec.notebook.v0_2", "qualname": "LinkedNotebook.version_number", "kind": "variable", "doc": "

version number (n-th published version, not the semantic version) of linked notebook

\n", "annotation": ": Optional[int]"}, "bioimageio.spec.notebook.v0_2.LinkedNotebook.model_config": {"fullname": "bioimageio.spec.notebook.v0_2.LinkedNotebook.model_config", "modulename": "bioimageio.spec.notebook.v0_2", "qualname": "LinkedNotebook.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.notebook.v0_2.LinkedNotebook.model_fields": {"fullname": "bioimageio.spec.notebook.v0_2.LinkedNotebook.model_fields", "modulename": "bioimageio.spec.notebook.v0_2", "qualname": "LinkedNotebook.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'id': FieldInfo(annotation=ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]], required=True), 'version_number': FieldInfo(annotation=Union[int, NoneType], required=False)}"}, "bioimageio.spec.notebook.v0_2.LinkedNotebook.model_computed_fields": {"fullname": "bioimageio.spec.notebook.v0_2.LinkedNotebook.model_computed_fields", "modulename": "bioimageio.spec.notebook.v0_2", "qualname": "LinkedNotebook.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.notebook.v0_3": {"fullname": "bioimageio.spec.notebook.v0_3", "modulename": "bioimageio.spec.notebook.v0_3", "kind": "module", "doc": "

\n"}, "bioimageio.spec.notebook.v0_3.NotebookDescr": {"fullname": "bioimageio.spec.notebook.v0_3.NotebookDescr", "modulename": "bioimageio.spec.notebook.v0_3", "qualname": "NotebookDescr", "kind": "class", "doc": "

Bioimage.io description of a Jupyter notebook.

\n", "bases": "bioimageio.spec.generic.v0_3.GenericDescrBase"}, "bioimageio.spec.notebook.v0_3.NotebookDescr.type": {"fullname": "bioimageio.spec.notebook.v0_3.NotebookDescr.type", "modulename": "bioimageio.spec.notebook.v0_3", "qualname": "NotebookDescr.type", "kind": "variable", "doc": "

\n", "annotation": ": Literal['notebook']"}, "bioimageio.spec.notebook.v0_3.NotebookDescr.id": {"fullname": "bioimageio.spec.notebook.v0_3.NotebookDescr.id", "modulename": "bioimageio.spec.notebook.v0_3", "qualname": "NotebookDescr.id", "kind": "variable", "doc": "

Model zoo (bioimage.io) wide, unique identifier (assigned by bioimage.io)

\n", "annotation": ": Optional[bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]]]"}, "bioimageio.spec.notebook.v0_3.NotebookDescr.parent": {"fullname": "bioimageio.spec.notebook.v0_3.NotebookDescr.parent", "modulename": "bioimageio.spec.notebook.v0_3", "qualname": "NotebookDescr.parent", "kind": "variable", "doc": "

The description from which this one is derived

\n", "annotation": ": Optional[bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]]]"}, "bioimageio.spec.notebook.v0_3.NotebookDescr.source": {"fullname": "bioimageio.spec.notebook.v0_3.NotebookDescr.source", "modulename": "bioimageio.spec.notebook.v0_3", "qualname": "NotebookDescr.source", "kind": "variable", "doc": "

The Jupyter notebook

\n", "annotation": ": Union[Annotated[bioimageio.spec._internal.url.HttpUrl, WithSuffix(suffix='.ipynb', case_sensitive=True)], Annotated[pathlib.Path, PathType(path_type='file'), Predicate(func=<function PurePath.is_absolute at 0x7f46ae045940>), WithSuffix(suffix='.ipynb', case_sensitive=True)], Annotated[bioimageio.spec._internal.io.RelativeFilePath, WithSuffix(suffix='.ipynb', case_sensitive=True)]]"}, "bioimageio.spec.notebook.v0_3.NotebookDescr.implemented_format_version": {"fullname": "bioimageio.spec.notebook.v0_3.NotebookDescr.implemented_format_version", "modulename": "bioimageio.spec.notebook.v0_3", "qualname": "NotebookDescr.implemented_format_version", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[str]", "default_value": "'0.3.0'"}, "bioimageio.spec.notebook.v0_3.NotebookDescr.implemented_format_version_tuple": {"fullname": "bioimageio.spec.notebook.v0_3.NotebookDescr.implemented_format_version_tuple", "modulename": "bioimageio.spec.notebook.v0_3", "qualname": "NotebookDescr.implemented_format_version_tuple", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[Tuple[int, int, int]]", "default_value": "(0, 3, 0)"}, "bioimageio.spec.notebook.v0_3.NotebookDescr.model_config": {"fullname": "bioimageio.spec.notebook.v0_3.NotebookDescr.model_config", "modulename": "bioimageio.spec.notebook.v0_3", "qualname": "NotebookDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True, 'title': 'bioimage.io notebook specification'}"}, "bioimageio.spec.notebook.v0_3.NotebookDescr.model_fields": {"fullname": "bioimageio.spec.notebook.v0_3.NotebookDescr.model_fields", "modulename": "bioimageio.spec.notebook.v0_3", "qualname": "NotebookDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'name': FieldInfo(annotation=str, required=True, metadata=[MinLen(min_length=1), MaxLen(max_length=128)]), 'description': FieldInfo(annotation=str, required=True, metadata=[MaxLen(max_length=1024), AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=30, msg='Description longer than 512 characters.', context={'typ': typing.Annotated[typing.Any, MaxLen(max_length=512)]})]), 'covers': FieldInfo(annotation=List[Annotated[Union[HttpUrl, Annotated[Path, PathType, Predicate], RelativeFilePath], WithSuffix, PlainSerializer]], required=False, default_factory=list, description="Cover images. Please use an image smaller than 500KB and an aspect ratio width to height of 2:1 or 1:1.\\nThe supported image formats are: ('.gif', '.jpeg', '.jpg', '.png', '.svg')", examples=[]), 'id_emoji': FieldInfo(annotation=Union[Annotated[str, Len], NoneType], required=False), 'authors': FieldInfo(annotation=List[Author], required=True, metadata=[MinLen(min_length=1)]), 'attachments': FieldInfo(annotation=List[FileDescr], required=False, default_factory=list), 'cite': FieldInfo(annotation=List[CiteEntry], required=True, metadata=[MinLen(min_length=1)]), 'license': FieldInfo(annotation=Union[LicenseId, DeprecatedLicenseId], required=True, examples=['CC-BY-4.0', 'MIT', 'BSD-2-Clause'], metadata=[AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=30, msg='{value} is deprecated, see https://spdx.org/licenses/{value}.html', context={'typ': <class 'bioimageio.spec._internal.license_id.LicenseId'>})]), 'config': FieldInfo(annotation=Dict[str, YamlValue], required=False, default_factory=dict, examples=[{'bioimageio': {'my_custom_key': 3837283, 'another_key': {'nested': 'value'}}, 'imagej': {'macro_dir': 'path/to/macro/file'}}]), 'git_repo': FieldInfo(annotation=Union[HttpUrl, NoneType], required=False, examples=['https://github.com/bioimage-io/spec-bioimage-io/tree/main/example_descriptions/models/unet2d_nuclei_broad']), 'icon': FieldInfo(annotation=Union[Annotated[Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator, PlainSerializer], Annotated[str, Len], NoneType], required=False), 'links': FieldInfo(annotation=List[str], required=False, default_factory=list, examples=[('ilastik/ilastik', 'deepimagej/deepimagej', 'zero/notebook_u-net_3d_zerocostdl4mic')]), 'uploader': FieldInfo(annotation=Union[Uploader, NoneType], required=False), 'maintainers': FieldInfo(annotation=List[Maintainer], required=False, default_factory=list), 'tags': FieldInfo(annotation=List[str], required=False, default_factory=list, examples=[('unet2d', 'pytorch', 'nucleus', 'segmentation', 'dsb2018')]), 'version': FieldInfo(annotation=Union[Version, NoneType], required=False), 'version_number': FieldInfo(annotation=Union[int, NoneType], required=False), 'format_version': FieldInfo(annotation=Literal['0.3.0'], required=False, default='0.3.0'), 'documentation': FieldInfo(annotation=Union[Annotated[Union[Annotated[Path, PathType, Predicate], RelativeFilePath, HttpUrl], AfterValidator, PlainSerializer], NoneType], required=False, examples=['https://raw.githubusercontent.com/bioimage-io/spec-bioimage-io/main/example_descriptions/models/unet2d_nuclei_broad/README.md', 'README.md']), 'badges': FieldInfo(annotation=List[BadgeDescr], required=False, default_factory=list), 'type': FieldInfo(annotation=Literal['notebook'], required=False, default='notebook'), 'id': FieldInfo(annotation=Union[ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]], NoneType], required=False), 'parent': FieldInfo(annotation=Union[ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]], NoneType], required=False), 'source': FieldInfo(annotation=Union[Annotated[HttpUrl, WithSuffix], Annotated[Path, PathType, Predicate, WithSuffix], Annotated[RelativeFilePath, WithSuffix]], required=True)}"}, "bioimageio.spec.notebook.v0_3.NotebookDescr.model_computed_fields": {"fullname": "bioimageio.spec.notebook.v0_3.NotebookDescr.model_computed_fields", "modulename": "bioimageio.spec.notebook.v0_3", "qualname": "NotebookDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.notebook.v0_3.LinkedNotebook": {"fullname": "bioimageio.spec.notebook.v0_3.LinkedNotebook", "modulename": "bioimageio.spec.notebook.v0_3", "qualname": "LinkedNotebook", "kind": "class", "doc": "

Reference to a bioimage.io notebook.

\n", "bases": "bioimageio.spec._internal.node.Node"}, "bioimageio.spec.notebook.v0_3.LinkedNotebook.id": {"fullname": "bioimageio.spec.notebook.v0_3.LinkedNotebook.id", "modulename": "bioimageio.spec.notebook.v0_3", "qualname": "LinkedNotebook.id", "kind": "variable", "doc": "

A valid notebook id from the bioimage.io collection.

\n", "annotation": ": bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]]"}, "bioimageio.spec.notebook.v0_3.LinkedNotebook.version_number": {"fullname": "bioimageio.spec.notebook.v0_3.LinkedNotebook.version_number", "modulename": "bioimageio.spec.notebook.v0_3", "qualname": "LinkedNotebook.version_number", "kind": "variable", "doc": "

version number (n-th published version, not the semantic version) of linked notebook

\n", "annotation": ": int"}, "bioimageio.spec.notebook.v0_3.LinkedNotebook.model_config": {"fullname": "bioimageio.spec.notebook.v0_3.LinkedNotebook.model_config", "modulename": "bioimageio.spec.notebook.v0_3", "qualname": "LinkedNotebook.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.notebook.v0_3.LinkedNotebook.model_fields": {"fullname": "bioimageio.spec.notebook.v0_3.LinkedNotebook.model_fields", "modulename": "bioimageio.spec.notebook.v0_3", "qualname": "LinkedNotebook.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'id': FieldInfo(annotation=ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]], required=True), 'version_number': FieldInfo(annotation=int, required=True)}"}, "bioimageio.spec.notebook.v0_3.LinkedNotebook.model_computed_fields": {"fullname": "bioimageio.spec.notebook.v0_3.LinkedNotebook.model_computed_fields", "modulename": "bioimageio.spec.notebook.v0_3", "qualname": "LinkedNotebook.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.partner_utils": {"fullname": "bioimageio.spec.partner_utils", "modulename": "bioimageio.spec.partner_utils", "kind": "module", "doc": "

bioimageio.spec extensions for bioimage.io community partners

\n"}, "bioimageio.spec.partner_utils.imjoy": {"fullname": "bioimageio.spec.partner_utils.imjoy", "modulename": "bioimageio.spec.partner_utils.imjoy", "kind": "module", "doc": "

\n"}, "bioimageio.spec.partner_utils.imjoy.enrich_partial_rdf_with_imjoy_plugin": {"fullname": "bioimageio.spec.partner_utils.imjoy.enrich_partial_rdf_with_imjoy_plugin", "modulename": "bioimageio.spec.partner_utils.imjoy", "qualname": "enrich_partial_rdf_with_imjoy_plugin", "kind": "function", "doc": "

a (partial) rdf may have 'rdf_source' or 'source' which resolve to rdf data that may be overwritten.\nDue to resolving imjoy plugins this is not done in bioimageio.spec.collection atm

\n", "signature": "(\tpartial_rdf: Dict[str, Any],\troot: Union[Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)], Annotated[pathlib.Path, PathType(path_type='dir')]],\tresolve_rdf_source: Callable[[Union[Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)], Annotated[pathlib.Path, PathType(path_type='file')], str]], Tuple[Dict[str, Any], str, Union[Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)], Annotated[pathlib.Path, PathType(path_type='dir')]]]]) -> Dict[str, Any]:", "funcdef": "def"}, "bioimageio.spec.partner_utils.imjoy.get_plugin_as_rdf": {"fullname": "bioimageio.spec.partner_utils.imjoy.get_plugin_as_rdf", "modulename": "bioimageio.spec.partner_utils.imjoy", "qualname": "get_plugin_as_rdf", "kind": "function", "doc": "

Get imjoy plugin config in RDF format.

\n", "signature": "(source_url: str) -> Dict[Any, Any]:", "funcdef": "def"}, "bioimageio.spec.pretty_validation_errors": {"fullname": "bioimageio.spec.pretty_validation_errors", "modulename": "bioimageio.spec.pretty_validation_errors", "kind": "module", "doc": "

\n"}, "bioimageio.spec.pretty_validation_errors.PrettyValidationError": {"fullname": "bioimageio.spec.pretty_validation_errors.PrettyValidationError", "modulename": "bioimageio.spec.pretty_validation_errors", "qualname": "PrettyValidationError", "kind": "class", "doc": "

Wrap a pydantic.ValidationError to custumize formatting.

\n", "bases": "builtins.ValueError"}, "bioimageio.spec.pretty_validation_errors.PrettyValidationError.__init__": {"fullname": "bioimageio.spec.pretty_validation_errors.PrettyValidationError.__init__", "modulename": "bioimageio.spec.pretty_validation_errors", "qualname": "PrettyValidationError.__init__", "kind": "function", "doc": "

\n", "signature": "(validation_error: pydantic_core._pydantic_core.ValidationError)"}, "bioimageio.spec.pretty_validation_errors.PrettyValidationError.error": {"fullname": "bioimageio.spec.pretty_validation_errors.PrettyValidationError.error", "modulename": "bioimageio.spec.pretty_validation_errors", "qualname": "PrettyValidationError.error", "kind": "variable", "doc": "

\n"}, "bioimageio.spec.pretty_validation_errors.enable_pretty_validation_errors_in_ipynb": {"fullname": "bioimageio.spec.pretty_validation_errors.enable_pretty_validation_errors_in_ipynb", "modulename": "bioimageio.spec.pretty_validation_errors", "qualname": "enable_pretty_validation_errors_in_ipynb", "kind": "function", "doc": "

A modestly hacky way to display prettified validaiton error messages and traceback\nin interactive Python notebooks

\n", "signature": "():", "funcdef": "def"}, "bioimageio.spec.summary": {"fullname": "bioimageio.spec.summary", "modulename": "bioimageio.spec.summary", "kind": "module", "doc": "

\n"}, "bioimageio.spec.summary.Loc": {"fullname": "bioimageio.spec.summary.Loc", "modulename": "bioimageio.spec.summary", "qualname": "Loc", "kind": "variable", "doc": "

location of error/warning in a nested data structure

\n", "default_value": "typing.Tuple[typing.Union[int, str], ...]"}, "bioimageio.spec.summary.WarningSeverityName": {"fullname": "bioimageio.spec.summary.WarningSeverityName", "modulename": "bioimageio.spec.summary", "qualname": "WarningSeverityName", "kind": "variable", "doc": "

\n", "default_value": "typing.Literal['info', 'warning', 'alert']"}, "bioimageio.spec.summary.WarningLevelName": {"fullname": "bioimageio.spec.summary.WarningLevelName", "modulename": "bioimageio.spec.summary", "qualname": "WarningLevelName", "kind": "variable", "doc": "

\n", "default_value": "typing.Literal['info', 'warning', 'alert', 'error']"}, "bioimageio.spec.summary.WARNING_SEVERITY_TO_NAME": {"fullname": "bioimageio.spec.summary.WARNING_SEVERITY_TO_NAME", "modulename": "bioimageio.spec.summary", "qualname": "WARNING_SEVERITY_TO_NAME", "kind": "variable", "doc": "

\n", "annotation": ": Mapping[Literal[20, 30, 35], Literal['info', 'warning', 'alert']]", "default_value": "mappingproxy({20: 'info', 30: 'warning', 35: 'alert'})"}, "bioimageio.spec.summary.WARNING_LEVEL_TO_NAME": {"fullname": "bioimageio.spec.summary.WARNING_LEVEL_TO_NAME", "modulename": "bioimageio.spec.summary", "qualname": "WARNING_LEVEL_TO_NAME", "kind": "variable", "doc": "

\n", "annotation": ": Mapping[Literal[20, 30, 35, 50], Literal['info', 'warning', 'alert', 'error']]", "default_value": "mappingproxy({20: 'info', 30: 'warning', 35: 'alert', 50: 'error'})"}, "bioimageio.spec.summary.WARNING_NAME_TO_LEVEL": {"fullname": "bioimageio.spec.summary.WARNING_NAME_TO_LEVEL", "modulename": "bioimageio.spec.summary", "qualname": "WARNING_NAME_TO_LEVEL", "kind": "variable", "doc": "

\n", "annotation": ": Mapping[Literal['info', 'warning', 'alert', 'error'], Literal[20, 30, 35, 50]]", "default_value": "mappingproxy({'info': 20, 'warning': 30, 'alert': 35, 'error': 50})"}, "bioimageio.spec.summary.ValidationEntry": {"fullname": "bioimageio.spec.summary.ValidationEntry", "modulename": "bioimageio.spec.summary", "qualname": "ValidationEntry", "kind": "class", "doc": "

Usage docs: https://docs.pydantic.dev/2.6/concepts/models/

\n\n

A base class for creating Pydantic models.

\n\n

Attributes:\n __class_vars__: The names of classvars defined on the model.\n __private_attributes__: Metadata about the private attributes of the model.\n __signature__: The signature for instantiating the model.

\n\n
__pydantic_complete__: Whether model building is completed, or if there are still undefined fields.\n__pydantic_core_schema__: The pydantic-core schema used to build the SchemaValidator and SchemaSerializer.\n__pydantic_custom_init__: Whether the model has a custom `__init__` function.\n__pydantic_decorators__: Metadata containing the decorators defined on the model.\n    This replaces `Model.__validators__` and `Model.__root_validators__` from Pydantic V1.\n__pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to\n    __args__, __origin__, __parameters__ in typing-module generics. May eventually be replaced by these.\n__pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models.\n__pydantic_post_init__: The name of the post-init method for the model, if defined.\n__pydantic_root_model__: Whether the model is a `RootModel`.\n__pydantic_serializer__: The pydantic-core SchemaSerializer used to dump instances of the model.\n__pydantic_validator__: The pydantic-core SchemaValidator used to validate instances of the model.\n\n__pydantic_extra__: An instance attribute with the values of extra fields from validation when\n    `model_config['extra'] == 'allow'`.\n__pydantic_fields_set__: An instance attribute with the names of fields explicitly set.\n__pydantic_private__: Instance attribute with the values of private attributes set on the model instance.\n
\n", "bases": "pydantic.main.BaseModel"}, "bioimageio.spec.summary.ValidationEntry.loc": {"fullname": "bioimageio.spec.summary.ValidationEntry.loc", "modulename": "bioimageio.spec.summary", "qualname": "ValidationEntry.loc", "kind": "variable", "doc": "

\n", "annotation": ": Tuple[Union[int, str], ...]"}, "bioimageio.spec.summary.ValidationEntry.msg": {"fullname": "bioimageio.spec.summary.ValidationEntry.msg", "modulename": "bioimageio.spec.summary", "qualname": "ValidationEntry.msg", "kind": "variable", "doc": "

\n", "annotation": ": str"}, "bioimageio.spec.summary.ValidationEntry.type": {"fullname": "bioimageio.spec.summary.ValidationEntry.type", "modulename": "bioimageio.spec.summary", "qualname": "ValidationEntry.type", "kind": "variable", "doc": "

\n", "annotation": ": Union[Literal['no_such_attribute', 'json_invalid', 'json_type', 'recursion_loop', 'missing', 'frozen_field', 'frozen_instance', 'extra_forbidden', 'invalid_key', 'get_attribute_error', 'model_type', 'model_attributes_type', 'dataclass_type', 'dataclass_exact_type', 'none_required', 'greater_than', 'greater_than_equal', 'less_than', 'less_than_equal', 'multiple_of', 'finite_number', 'too_short', 'too_long', 'iterable_type', 'iteration_error', 'string_type', 'string_sub_type', 'string_unicode', 'string_too_short', 'string_too_long', 'string_pattern_mismatch', 'enum', 'dict_type', 'mapping_type', 'list_type', 'tuple_type', 'set_type', 'bool_type', 'bool_parsing', 'int_type', 'int_parsing', 'int_parsing_size', 'int_from_float', 'float_type', 'float_parsing', 'bytes_type', 'bytes_too_short', 'bytes_too_long', 'value_error', 'assertion_error', 'literal_error', 'date_type', 'date_parsing', 'date_from_datetime_parsing', 'date_from_datetime_inexact', 'date_past', 'date_future', 'time_type', 'time_parsing', 'datetime_type', 'datetime_parsing', 'datetime_object_invalid', 'datetime_from_date_parsing', 'datetime_past', 'datetime_future', 'timezone_naive', 'timezone_aware', 'timezone_offset', 'time_delta_type', 'time_delta_parsing', 'frozen_set_type', 'is_instance_of', 'is_subclass_of', 'callable_type', 'union_tag_invalid', 'union_tag_not_found', 'arguments_type', 'missing_argument', 'unexpected_keyword_argument', 'missing_keyword_only_argument', 'unexpected_positional_argument', 'missing_positional_only_argument', 'multiple_argument_values', 'url_type', 'url_parsing', 'url_syntax_violation', 'url_too_long', 'url_scheme', 'uuid_type', 'uuid_parsing', 'uuid_version', 'decimal_type', 'decimal_parsing', 'decimal_max_digits', 'decimal_max_places', 'decimal_whole_digits'], str]"}, "bioimageio.spec.summary.ValidationEntry.model_config": {"fullname": "bioimageio.spec.summary.ValidationEntry.model_config", "modulename": "bioimageio.spec.summary", "qualname": "ValidationEntry.model_config", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.summary.ValidationEntry.model_fields": {"fullname": "bioimageio.spec.summary.ValidationEntry.model_fields", "modulename": "bioimageio.spec.summary", "qualname": "ValidationEntry.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'loc': FieldInfo(annotation=Tuple[Union[int, str], ...], required=True), 'msg': FieldInfo(annotation=str, required=True), 'type': FieldInfo(annotation=Union[Literal['no_such_attribute', 'json_invalid', 'json_type', 'recursion_loop', 'missing', 'frozen_field', 'frozen_instance', 'extra_forbidden', 'invalid_key', 'get_attribute_error', 'model_type', 'model_attributes_type', 'dataclass_type', 'dataclass_exact_type', 'none_required', 'greater_than', 'greater_than_equal', 'less_than', 'less_than_equal', 'multiple_of', 'finite_number', 'too_short', 'too_long', 'iterable_type', 'iteration_error', 'string_type', 'string_sub_type', 'string_unicode', 'string_too_short', 'string_too_long', 'string_pattern_mismatch', 'enum', 'dict_type', 'mapping_type', 'list_type', 'tuple_type', 'set_type', 'bool_type', 'bool_parsing', 'int_type', 'int_parsing', 'int_parsing_size', 'int_from_float', 'float_type', 'float_parsing', 'bytes_type', 'bytes_too_short', 'bytes_too_long', 'value_error', 'assertion_error', 'literal_error', 'date_type', 'date_parsing', 'date_from_datetime_parsing', 'date_from_datetime_inexact', 'date_past', 'date_future', 'time_type', 'time_parsing', 'datetime_type', 'datetime_parsing', 'datetime_object_invalid', 'datetime_from_date_parsing', 'datetime_past', 'datetime_future', 'timezone_naive', 'timezone_aware', 'timezone_offset', 'time_delta_type', 'time_delta_parsing', 'frozen_set_type', 'is_instance_of', 'is_subclass_of', 'callable_type', 'union_tag_invalid', 'union_tag_not_found', 'arguments_type', 'missing_argument', 'unexpected_keyword_argument', 'missing_keyword_only_argument', 'unexpected_positional_argument', 'missing_positional_only_argument', 'multiple_argument_values', 'url_type', 'url_parsing', 'url_syntax_violation', 'url_too_long', 'url_scheme', 'uuid_type', 'uuid_parsing', 'uuid_version', 'decimal_type', 'decimal_parsing', 'decimal_max_digits', 'decimal_max_places', 'decimal_whole_digits'], str], required=True)}"}, "bioimageio.spec.summary.ValidationEntry.model_computed_fields": {"fullname": "bioimageio.spec.summary.ValidationEntry.model_computed_fields", "modulename": "bioimageio.spec.summary", "qualname": "ValidationEntry.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.summary.ErrorEntry": {"fullname": "bioimageio.spec.summary.ErrorEntry", "modulename": "bioimageio.spec.summary", "qualname": "ErrorEntry", "kind": "class", "doc": "

Usage docs: https://docs.pydantic.dev/2.6/concepts/models/

\n\n

A base class for creating Pydantic models.

\n\n

Attributes:\n __class_vars__: The names of classvars defined on the model.\n __private_attributes__: Metadata about the private attributes of the model.\n __signature__: The signature for instantiating the model.

\n\n
__pydantic_complete__: Whether model building is completed, or if there are still undefined fields.\n__pydantic_core_schema__: The pydantic-core schema used to build the SchemaValidator and SchemaSerializer.\n__pydantic_custom_init__: Whether the model has a custom `__init__` function.\n__pydantic_decorators__: Metadata containing the decorators defined on the model.\n    This replaces `Model.__validators__` and `Model.__root_validators__` from Pydantic V1.\n__pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to\n    __args__, __origin__, __parameters__ in typing-module generics. May eventually be replaced by these.\n__pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models.\n__pydantic_post_init__: The name of the post-init method for the model, if defined.\n__pydantic_root_model__: Whether the model is a `RootModel`.\n__pydantic_serializer__: The pydantic-core SchemaSerializer used to dump instances of the model.\n__pydantic_validator__: The pydantic-core SchemaValidator used to validate instances of the model.\n\n__pydantic_extra__: An instance attribute with the values of extra fields from validation when\n    `model_config['extra'] == 'allow'`.\n__pydantic_fields_set__: An instance attribute with the names of fields explicitly set.\n__pydantic_private__: Instance attribute with the values of private attributes set on the model instance.\n
\n", "bases": "ValidationEntry"}, "bioimageio.spec.summary.ErrorEntry.traceback": {"fullname": "bioimageio.spec.summary.ErrorEntry.traceback", "modulename": "bioimageio.spec.summary", "qualname": "ErrorEntry.traceback", "kind": "variable", "doc": "

\n", "annotation": ": List[str]"}, "bioimageio.spec.summary.ErrorEntry.model_config": {"fullname": "bioimageio.spec.summary.ErrorEntry.model_config", "modulename": "bioimageio.spec.summary", "qualname": "ErrorEntry.model_config", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.summary.ErrorEntry.model_fields": {"fullname": "bioimageio.spec.summary.ErrorEntry.model_fields", "modulename": "bioimageio.spec.summary", "qualname": "ErrorEntry.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'loc': FieldInfo(annotation=Tuple[Union[int, str], ...], required=True), 'msg': FieldInfo(annotation=str, required=True), 'type': FieldInfo(annotation=Union[Literal['no_such_attribute', 'json_invalid', 'json_type', 'recursion_loop', 'missing', 'frozen_field', 'frozen_instance', 'extra_forbidden', 'invalid_key', 'get_attribute_error', 'model_type', 'model_attributes_type', 'dataclass_type', 'dataclass_exact_type', 'none_required', 'greater_than', 'greater_than_equal', 'less_than', 'less_than_equal', 'multiple_of', 'finite_number', 'too_short', 'too_long', 'iterable_type', 'iteration_error', 'string_type', 'string_sub_type', 'string_unicode', 'string_too_short', 'string_too_long', 'string_pattern_mismatch', 'enum', 'dict_type', 'mapping_type', 'list_type', 'tuple_type', 'set_type', 'bool_type', 'bool_parsing', 'int_type', 'int_parsing', 'int_parsing_size', 'int_from_float', 'float_type', 'float_parsing', 'bytes_type', 'bytes_too_short', 'bytes_too_long', 'value_error', 'assertion_error', 'literal_error', 'date_type', 'date_parsing', 'date_from_datetime_parsing', 'date_from_datetime_inexact', 'date_past', 'date_future', 'time_type', 'time_parsing', 'datetime_type', 'datetime_parsing', 'datetime_object_invalid', 'datetime_from_date_parsing', 'datetime_past', 'datetime_future', 'timezone_naive', 'timezone_aware', 'timezone_offset', 'time_delta_type', 'time_delta_parsing', 'frozen_set_type', 'is_instance_of', 'is_subclass_of', 'callable_type', 'union_tag_invalid', 'union_tag_not_found', 'arguments_type', 'missing_argument', 'unexpected_keyword_argument', 'missing_keyword_only_argument', 'unexpected_positional_argument', 'missing_positional_only_argument', 'multiple_argument_values', 'url_type', 'url_parsing', 'url_syntax_violation', 'url_too_long', 'url_scheme', 'uuid_type', 'uuid_parsing', 'uuid_version', 'decimal_type', 'decimal_parsing', 'decimal_max_digits', 'decimal_max_places', 'decimal_whole_digits'], str], required=True), 'traceback': FieldInfo(annotation=List[str], required=False, default_factory=list)}"}, "bioimageio.spec.summary.ErrorEntry.model_computed_fields": {"fullname": "bioimageio.spec.summary.ErrorEntry.model_computed_fields", "modulename": "bioimageio.spec.summary", "qualname": "ErrorEntry.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.summary.WarningEntry": {"fullname": "bioimageio.spec.summary.WarningEntry", "modulename": "bioimageio.spec.summary", "qualname": "WarningEntry", "kind": "class", "doc": "

Usage docs: https://docs.pydantic.dev/2.6/concepts/models/

\n\n

A base class for creating Pydantic models.

\n\n

Attributes:\n __class_vars__: The names of classvars defined on the model.\n __private_attributes__: Metadata about the private attributes of the model.\n __signature__: The signature for instantiating the model.

\n\n
__pydantic_complete__: Whether model building is completed, or if there are still undefined fields.\n__pydantic_core_schema__: The pydantic-core schema used to build the SchemaValidator and SchemaSerializer.\n__pydantic_custom_init__: Whether the model has a custom `__init__` function.\n__pydantic_decorators__: Metadata containing the decorators defined on the model.\n    This replaces `Model.__validators__` and `Model.__root_validators__` from Pydantic V1.\n__pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to\n    __args__, __origin__, __parameters__ in typing-module generics. May eventually be replaced by these.\n__pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models.\n__pydantic_post_init__: The name of the post-init method for the model, if defined.\n__pydantic_root_model__: Whether the model is a `RootModel`.\n__pydantic_serializer__: The pydantic-core SchemaSerializer used to dump instances of the model.\n__pydantic_validator__: The pydantic-core SchemaValidator used to validate instances of the model.\n\n__pydantic_extra__: An instance attribute with the values of extra fields from validation when\n    `model_config['extra'] == 'allow'`.\n__pydantic_fields_set__: An instance attribute with the names of fields explicitly set.\n__pydantic_private__: Instance attribute with the values of private attributes set on the model instance.\n
\n", "bases": "ValidationEntry"}, "bioimageio.spec.summary.WarningEntry.severity": {"fullname": "bioimageio.spec.summary.WarningEntry.severity", "modulename": "bioimageio.spec.summary", "qualname": "WarningEntry.severity", "kind": "variable", "doc": "

\n", "annotation": ": Literal[20, 30, 35]"}, "bioimageio.spec.summary.WarningEntry.severity_name": {"fullname": "bioimageio.spec.summary.WarningEntry.severity_name", "modulename": "bioimageio.spec.summary", "qualname": "WarningEntry.severity_name", "kind": "variable", "doc": "

\n", "annotation": ": Literal['info', 'warning', 'alert']"}, "bioimageio.spec.summary.WarningEntry.sync_severity_with_severity_name": {"fullname": "bioimageio.spec.summary.WarningEntry.sync_severity_with_severity_name", "modulename": "bioimageio.spec.summary", "qualname": "WarningEntry.sync_severity_with_severity_name", "kind": "function", "doc": "

\n", "signature": "(cls, data: Union[Mapping[Any, Any], Any]) -> Any:", "funcdef": "def"}, "bioimageio.spec.summary.WarningEntry.model_config": {"fullname": "bioimageio.spec.summary.WarningEntry.model_config", "modulename": "bioimageio.spec.summary", "qualname": "WarningEntry.model_config", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.summary.WarningEntry.model_fields": {"fullname": "bioimageio.spec.summary.WarningEntry.model_fields", "modulename": "bioimageio.spec.summary", "qualname": "WarningEntry.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'loc': FieldInfo(annotation=Tuple[Union[int, str], ...], required=True), 'msg': FieldInfo(annotation=str, required=True), 'type': FieldInfo(annotation=Union[Literal['no_such_attribute', 'json_invalid', 'json_type', 'recursion_loop', 'missing', 'frozen_field', 'frozen_instance', 'extra_forbidden', 'invalid_key', 'get_attribute_error', 'model_type', 'model_attributes_type', 'dataclass_type', 'dataclass_exact_type', 'none_required', 'greater_than', 'greater_than_equal', 'less_than', 'less_than_equal', 'multiple_of', 'finite_number', 'too_short', 'too_long', 'iterable_type', 'iteration_error', 'string_type', 'string_sub_type', 'string_unicode', 'string_too_short', 'string_too_long', 'string_pattern_mismatch', 'enum', 'dict_type', 'mapping_type', 'list_type', 'tuple_type', 'set_type', 'bool_type', 'bool_parsing', 'int_type', 'int_parsing', 'int_parsing_size', 'int_from_float', 'float_type', 'float_parsing', 'bytes_type', 'bytes_too_short', 'bytes_too_long', 'value_error', 'assertion_error', 'literal_error', 'date_type', 'date_parsing', 'date_from_datetime_parsing', 'date_from_datetime_inexact', 'date_past', 'date_future', 'time_type', 'time_parsing', 'datetime_type', 'datetime_parsing', 'datetime_object_invalid', 'datetime_from_date_parsing', 'datetime_past', 'datetime_future', 'timezone_naive', 'timezone_aware', 'timezone_offset', 'time_delta_type', 'time_delta_parsing', 'frozen_set_type', 'is_instance_of', 'is_subclass_of', 'callable_type', 'union_tag_invalid', 'union_tag_not_found', 'arguments_type', 'missing_argument', 'unexpected_keyword_argument', 'missing_keyword_only_argument', 'unexpected_positional_argument', 'missing_positional_only_argument', 'multiple_argument_values', 'url_type', 'url_parsing', 'url_syntax_violation', 'url_too_long', 'url_scheme', 'uuid_type', 'uuid_parsing', 'uuid_version', 'decimal_type', 'decimal_parsing', 'decimal_max_digits', 'decimal_max_places', 'decimal_whole_digits'], str], required=True), 'severity': FieldInfo(annotation=Literal[20, 30, 35], required=False, default=30), 'severity_name': FieldInfo(annotation=Literal['info', 'warning', 'alert'], required=False, default='warning')}"}, "bioimageio.spec.summary.WarningEntry.model_computed_fields": {"fullname": "bioimageio.spec.summary.WarningEntry.model_computed_fields", "modulename": "bioimageio.spec.summary", "qualname": "WarningEntry.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.summary.format_loc": {"fullname": "bioimageio.spec.summary.format_loc", "modulename": "bioimageio.spec.summary", "qualname": "format_loc", "kind": "function", "doc": "

\n", "signature": "(loc: Tuple[Union[int, str], ...]) -> str:", "funcdef": "def"}, "bioimageio.spec.summary.InstalledPackage": {"fullname": "bioimageio.spec.summary.InstalledPackage", "modulename": "bioimageio.spec.summary", "qualname": "InstalledPackage", "kind": "class", "doc": "

\n", "bases": "typing_extensions.TypedDict"}, "bioimageio.spec.summary.InstalledPackage.name": {"fullname": "bioimageio.spec.summary.InstalledPackage.name", "modulename": "bioimageio.spec.summary", "qualname": "InstalledPackage.name", "kind": "variable", "doc": "

\n", "annotation": ": str"}, "bioimageio.spec.summary.InstalledPackage.version": {"fullname": "bioimageio.spec.summary.InstalledPackage.version", "modulename": "bioimageio.spec.summary", "qualname": "InstalledPackage.version", "kind": "variable", "doc": "

\n", "annotation": ": str"}, "bioimageio.spec.summary.ValidationDetail": {"fullname": "bioimageio.spec.summary.ValidationDetail", "modulename": "bioimageio.spec.summary", "qualname": "ValidationDetail", "kind": "class", "doc": "

Usage docs: https://docs.pydantic.dev/2.6/concepts/models/

\n\n

A base class for creating Pydantic models.

\n\n

Attributes:\n __class_vars__: The names of classvars defined on the model.\n __private_attributes__: Metadata about the private attributes of the model.\n __signature__: The signature for instantiating the model.

\n\n
__pydantic_complete__: Whether model building is completed, or if there are still undefined fields.\n__pydantic_core_schema__: The pydantic-core schema used to build the SchemaValidator and SchemaSerializer.\n__pydantic_custom_init__: Whether the model has a custom `__init__` function.\n__pydantic_decorators__: Metadata containing the decorators defined on the model.\n    This replaces `Model.__validators__` and `Model.__root_validators__` from Pydantic V1.\n__pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to\n    __args__, __origin__, __parameters__ in typing-module generics. May eventually be replaced by these.\n__pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models.\n__pydantic_post_init__: The name of the post-init method for the model, if defined.\n__pydantic_root_model__: Whether the model is a `RootModel`.\n__pydantic_serializer__: The pydantic-core SchemaSerializer used to dump instances of the model.\n__pydantic_validator__: The pydantic-core SchemaValidator used to validate instances of the model.\n\n__pydantic_extra__: An instance attribute with the values of extra fields from validation when\n    `model_config['extra'] == 'allow'`.\n__pydantic_fields_set__: An instance attribute with the names of fields explicitly set.\n__pydantic_private__: Instance attribute with the values of private attributes set on the model instance.\n
\n", "bases": "pydantic.main.BaseModel"}, "bioimageio.spec.summary.ValidationDetail.name": {"fullname": "bioimageio.spec.summary.ValidationDetail.name", "modulename": "bioimageio.spec.summary", "qualname": "ValidationDetail.name", "kind": "variable", "doc": "

\n", "annotation": ": str"}, "bioimageio.spec.summary.ValidationDetail.status": {"fullname": "bioimageio.spec.summary.ValidationDetail.status", "modulename": "bioimageio.spec.summary", "qualname": "ValidationDetail.status", "kind": "variable", "doc": "

\n", "annotation": ": Literal['passed', 'failed']"}, "bioimageio.spec.summary.ValidationDetail.errors": {"fullname": "bioimageio.spec.summary.ValidationDetail.errors", "modulename": "bioimageio.spec.summary", "qualname": "ValidationDetail.errors", "kind": "variable", "doc": "

\n", "annotation": ": List[bioimageio.spec.summary.ErrorEntry]"}, "bioimageio.spec.summary.ValidationDetail.warnings": {"fullname": "bioimageio.spec.summary.ValidationDetail.warnings", "modulename": "bioimageio.spec.summary", "qualname": "ValidationDetail.warnings", "kind": "variable", "doc": "

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Usage docs: https://docs.pydantic.dev/2.6/concepts/models/

\n\n

A base class for creating Pydantic models.

\n\n

Attributes:\n __class_vars__: The names of classvars defined on the model.\n __private_attributes__: Metadata about the private attributes of the model.\n __signature__: The signature for instantiating the model.

\n\n
__pydantic_complete__: Whether model building is completed, or if there are still undefined fields.\n__pydantic_core_schema__: The pydantic-core schema used to build the SchemaValidator and SchemaSerializer.\n__pydantic_custom_init__: Whether the model has a custom `__init__` function.\n__pydantic_decorators__: Metadata containing the decorators defined on the model.\n    This replaces `Model.__validators__` and `Model.__root_validators__` from Pydantic V1.\n__pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to\n    __args__, __origin__, __parameters__ in typing-module generics. May eventually be replaced by these.\n__pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models.\n__pydantic_post_init__: The name of the post-init method for the model, if defined.\n__pydantic_root_model__: Whether the model is a `RootModel`.\n__pydantic_serializer__: The pydantic-core SchemaSerializer used to dump instances of the model.\n__pydantic_validator__: The pydantic-core SchemaValidator used to validate instances of the model.\n\n__pydantic_extra__: An instance attribute with the values of extra fields from validation when\n    `model_config['extra'] == 'allow'`.\n__pydantic_fields_set__: An instance attribute with the names of fields explicitly set.\n__pydantic_private__: Instance attribute with the values of private attributes set on the model instance.\n
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list of selected, relevant package versions

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{"tf": 1}, "bioimageio.spec.dataset.v0_3.DatasetDescr.id": {"tf": 1}, "bioimageio.spec.generic.v0_2.GenericDescr.id": {"tf": 1}, "bioimageio.spec.generic.v0_3.GenericDescr.id": {"tf": 1}, "bioimageio.spec.model.v0_4.ModelDescr.id": {"tf": 1}, "bioimageio.spec.model.v0_5.ModelDescr.id": {"tf": 1}, "bioimageio.spec.notebook.v0_2.NotebookDescr.id": {"tf": 1}, "bioimageio.spec.notebook.v0_3.NotebookDescr.id": {"tf": 1}}, "df": 12}}}, "k": {"docs": {"bioimageio.spec.model.v0_4.ParameterizedInputShape": {"tf": 1.7320508075688772}, "bioimageio.spec.model.v0_4.SigmoidDescr": {"tf": 1}, "bioimageio.spec.model.v0_5.SigmoidDescr": {"tf": 1}}, "df": 3, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {"bioimageio.spec": {"tf": 1.7320508075688772}, "bioimageio.spec.generic.v0_2.GenericModelDescrBase.rdf_source": {"tf": 1}}, "df": 2, "s": {"docs": {"bioimageio.spec": {"tf": 1}}, "df": 1}}}, "y": {"docs": {"bioimageio.spec._internal.common_nodes.Converter": {"tf": 1.4142135623730951}, "bioimageio.spec.generic.v0_2.GenericModelDescrBase.config": {"tf": 1.4142135623730951}, "bioimageio.spec.generic.v0_3.GenericModelDescrBase.config": {"tf": 1.4142135623730951}, "bioimageio.spec.model.v0_4.PytorchStateDictWeightsDescr.kwargs": {"tf": 1}, "bioimageio.spec.model.v0_4.ProcessingKwargs": {"tf": 1}, "bioimageio.spec.model.v0_4.BinarizeKwargs": {"tf": 1}, "bioimageio.spec.model.v0_4.ClipKwargs": {"tf": 1}, "bioimageio.spec.model.v0_4.ScaleLinearKwargs": {"tf": 1}, "bioimageio.spec.model.v0_4.ZeroMeanUnitVarianceKwargs": {"tf": 1}, "bioimageio.spec.model.v0_4.ScaleRangeKwargs": {"tf": 1}, "bioimageio.spec.model.v0_4.ScaleMeanVarianceKwargs": {"tf": 1}, "bioimageio.spec.model.v0_4.RunMode.kwargs": {"tf": 1}, "bioimageio.spec.model.v0_5.EnsureDtypeKwargs": {"tf": 1}, "bioimageio.spec.model.v0_5.ScaleLinearKwargs": {"tf": 1}, "bioimageio.spec.model.v0_5.ZeroMeanUnitVarianceKwargs": {"tf": 1}, "bioimageio.spec.model.v0_5.ScaleRangeKwargs": {"tf": 1}}, "df": 16, "s": {"docs": {"bioimageio.spec": {"tf": 1}, "bioimageio.spec._internal.utils.nest_dict_with_narrow_first_key": {"tf": 1.4142135623730951}, "bioimageio.spec.generic.v0_2.AttachmentsDescr.model_config": {"tf": 1}, "bioimageio.spec.generic.v0_2.GenericModelDescrBase.config": {"tf": 1.7320508075688772}, "bioimageio.spec.generic.v0_3.GenericModelDescrBase.config": {"tf": 1.7320508075688772}}, "df": 5}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"bioimageio.spec._internal.common_nodes.Converter": {"tf": 1}}, "df": 1}}}}}}}, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "n": {"docs": {"bioimageio.spec": {"tf": 1.4142135623730951}, "bioimageio.spec.generic.v0_2.GenericDescr": {"tf": 1}, "bioimageio.spec.generic.v0_3.GenericDescr": {"tf": 1}, "bioimageio.spec.model.v0_5.IndexOutputAxis.size": {"tf": 1}}, "df": 4}}}}, "w": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "g": {"docs": {"bioimageio.spec": {"tf": 1.7320508075688772}}, "df": 1, "s": {"docs": {"bioimageio.spec": {"tf": 1.4142135623730951}, "bioimageio.spec.model.v0_4.SigmoidDescr.kwargs": {"tf": 1}, "bioimageio.spec.model.v0_5.SigmoidDescr.kwargs": {"tf": 1}}, "df": 3}}}}}, "t": {"docs": {"bioimageio.spec._internal.common_nodes.Converter": {"tf": 1.4142135623730951}}, "df": 1}}, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {"bioimageio.spec._internal.docs_utils.get_ref_url": {"tf": 2.449489742783178}, "bioimageio.spec._internal.version_type.Version.epoch": {"tf": 2}, "bioimageio.spec._internal.version_type.Version.release": {"tf": 2.449489742783178}, "bioimageio.spec._internal.version_type.Version.pre": {"tf": 2.8284271247461903}, "bioimageio.spec._internal.version_type.Version.post": {"tf": 2}, "bioimageio.spec._internal.version_type.Version.dev": {"tf": 2}, "bioimageio.spec._internal.version_type.Version.local": {"tf": 2}, "bioimageio.spec._internal.version_type.Version.public": {"tf": 2.449489742783178}, "bioimageio.spec._internal.version_type.Version.base_version": {"tf": 2.449489742783178}, "bioimageio.spec._internal.version_type.Version.is_prerelease": {"tf": 3.1622776601683795}, "bioimageio.spec._internal.version_type.Version.is_postrelease": {"tf": 2}, "bioimageio.spec._internal.version_type.Version.is_devrelease": {"tf": 2}, "bioimageio.spec._internal.version_type.Version.major": {"tf": 1.4142135623730951}, "bioimageio.spec._internal.version_type.Version.minor": {"tf": 2}, "bioimageio.spec._internal.version_type.Version.micro": {"tf": 2}, "bioimageio.spec.model.v0_5.SizeReference": {"tf": 3.4641016151377544}}, "df": 16}}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"bioimageio.spec.model.v0_4.ModelDescr.documentation": {"tf": 1}, "bioimageio.spec.model.v0_5.ModelDescr.documentation": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}, "x": {"docs": {"bioimageio.spec._internal.warning_levels.WarningLevel": {"tf": 1.4142135623730951}, "bioimageio.spec.model.v0_4.TensorDescrBase.axes": {"tf": 1.4142135623730951}, "bioimageio.spec.model.v0_5.ZeroMeanUnitVarianceKwargs.axes": {"tf": 1.7320508075688772}, "bioimageio.spec.model.v0_5.ScaleRangeKwargs.axes": {"tf": 1.7320508075688772}, "bioimageio.spec.model.v0_5.ScaleMeanVarianceKwargs.axes": {"tf": 1.7320508075688772}}, "df": 5, "y": {"docs": {"bioimageio.spec.model.v0_4.ScaleLinearKwargs.axes": {"tf": 1}, "bioimageio.spec.model.v0_4.ZeroMeanUnitVarianceKwargs.axes": {"tf": 1}, "bioimageio.spec.model.v0_4.ZeroMeanUnitVarianceKwargs.mean": {"tf": 1}, "bioimageio.spec.model.v0_4.ScaleRangeKwargs.axes": {"tf": 1}, "bioimageio.spec.model.v0_4.ScaleMeanVarianceKwargs.axes": {"tf": 1}}, "df": 5}}}}}, "pipeline": ["trimmer"], "_isPrebuiltIndex": true}; + /** pdoc search index */const docs = {"version": "0.9.5", "fields": ["qualname", "fullname", "annotation", "default_value", "signature", "bases", "doc"], "ref": "fullname", "documentStore": {"docs": {"bioimageio.spec": {"fullname": "bioimageio.spec", "modulename": "bioimageio.spec", "kind": "module", "doc": "

\"License\"\n\"PyPI\"\n\"conda-version\"

\n\n

Specifications for bioimage.io

\n\n

This repository contains specifications defined by the bioimage.io community. These specifications are used for defining fields in YAML 1.2 files which should be named rdf.yaml. Such a rdf.yaml --- along with files referenced in it --- can be downloaded from or uploaded to the bioimage.io website and may be produced or consumed by bioimage.io-compatible consumers (e.g. image analysis software like ilastik).

\n\n

bioimage.io-compatible resources must fulfill the following rules:

\n\n

Note that the Python package PyYAML does not support YAML 1.2 .\nWe therefore use and recommend ruyaml.\nFor differences see https://ruamelyaml.readthedocs.io/en/latest/pyyaml.

\n\n

Please also note that the best way to check whether your rdf.yaml file is bioimage.io-compliant is to call bioimageio.core.validate from the bioimageio.core Python package.\nThe bioimageio.core Python package also provides the bioimageio command line interface (CLI) with the validate command:

\n\n
bioimageio validate path/to/your/rdf.yaml\n
\n\n

Format version overview

\n\n

All bioimage.io description formats are defined as Pydantic models.

\n\n\n\n\n \n \n \n\n\n\n\n \n \n \n\n\n \n \n \n\n\n \n \n \n\n\n \n \n \n\n\n \n \n \n\n\n \n \n \n\n\n
typeformat versiondocumentation
model0.5
0.4
model_descr_v0-5.md
model_descr_v0-4.md
dataset0.3
0.2
dataset_descr_v0-3.md
dataset_descr_v0-2.md
notebook0.3
0.2
notebook_descr_v0-3.md
notebook_descr_v0-2.md
application0.3
0.2
application_descr_v0-3.md
application_descr_v0-2.md
collection0.3
0.2
collection_descr_v0-3.md
collection_descr_v0-2.md
generic0.3
0.2
generic_descr_v0-3.md
generic_descr_v0-2.md
\n\n

JSON schema

\n\n

Simplified descriptions are available as JSON schema:

\n\n\n\n\n \n \n\n\n\n\n \n \n\n\n \n \n\n\n
bioimageio.spec versionJSON schema
latestbioimageio_schema_latest.json
0.5bioimageio_schema_v0-5.json
\n\n

These are primarily intended for syntax highlighting and form generation.

\n\n

Examples

\n\n

We provide some examples for using rdf.yaml files to describe models, applications, notebooks and datasets.

\n\n

\ud83d\udc81 Recommendations

\n\n
    \n
  • Due to the limitations of storage services such as Zenodo, which does not support subfolders, it is recommended to place other files in the same directory level of the rdf.yaml file and try to avoid using subdirectories.
  • \n
  • Use the bioimageio.core Python package to validate your rdf.yaml file.
  • \n
  • bioimageio.spec keeps evolving. Try to use and upgrade to the most current format version!
  • \n
\n\n

\u2328 bioimageio command-line interface (CLI)

\n\n

The bioimageio CLI has moved entirely to bioimageio.core.

\n\n

\ud83d\udda5 Installation

\n\n

bioimageio.spec can be installed with either conda or pip, we recommend to install bioimageio.core instead:

\n\n
\n
conda install -c conda-forge bioimageio.core\n
\n
\n\n

or

\n\n
\n
pip install -U bioimageio.core\n
\n
\n\n

\ud83e\udd1d How to contribute

\n\n

\u2665 Contributors

\n\n

\n \"bioimageio.spec\n

\n\n

Made with contrib.rocks.

\n\n

\u0394 Changelog

\n\n

bioimageio.spec Python package

\n\n

bioimageio.spec 0.5.0post2

\n\n
    \n
  • don't fail if CI env var is a string
  • \n
\n\n

bioimageio.spec 0.5.0post1

\n\n
    \n
  • fix _internal.io_utils.identify_bioimageio_yaml_file()
  • \n
\n\n

bioimageio.spec 0.5.0

\n\n
    \n
  • new description formats: generic 0.3, application 0.3, collection 0.3, dataset 0.3, notebook 0.3 and model 0.5.
  • \n
  • various API changes, most important functions:\n
      \n
    • bioimageio.spec.load_description (replaces load_raw_resource_description, interface changed)
    • \n
    • bioimageio.spec.validate_format (new)
    • \n
    • bioimageio.spec.dump_description (replaces serialize_raw_resource_description_to_dict, interface changed)
    • \n
    • bioimageio.spec.update_format (interface changed)
    • \n
  • \n
  • switch from Marshmallow to Pydantic\n
      \n
    • extended validation
    • \n
    • one joint, more precise JSON schema
    • \n
  • \n
\n\n

bioimageio.spec 0.4.9

\n\n
    \n
  • small bugixes
  • \n
  • better type hints
  • \n
  • improved tests
  • \n
\n\n

bioimageio.spec 0.4.8post1

\n\n
    \n
  • add axes and eps to scale_mean_var
  • \n
\n\n

bioimageio.spec 0.4.7post1

\n\n
    \n
  • add simple forward compatibility by treating future format versions as latest known (for the respective resource type)
  • \n
\n\n

bioimageio.spec 0.4.6post3

\n\n
    \n
  • Make CLI output more readable

  • \n
  • find redirected URLs when checking for URL availability

  • \n
\n\n

bioimageio.spec 0.4.6post2

\n\n
    \n
  • Improve error message for non-existing RDF file path given as string

  • \n
  • Improve documentation for model description's documentation field

  • \n
\n\n

bioimageio.spec 0.4.6post1

\n\n\n\n

bioimageio.spec 0.4.5post16

\n\n
    \n
  • fix rdf_update of entries in resolve_collection_entries()
  • \n
\n\n

bioimageio.spec 0.4.5post15

\n\n
    \n
  • pass root to enrich_partial_rdf arg of resolve_collection_entries()
  • \n
\n\n

bioimageio.spec 0.4.5post14

\n\n
    \n
  • keep ResourceDescrption.root_path as URI for remote resources. This fixes the collection description as the collection entries are resolved after the collection description has been loaded.
  • \n
\n\n

bioimageio.spec 0.4.5post13

\n\n
    \n
  • new bioimageio.spec.partner module adding validate-partner-collection command if optional 'lxml' dependency is available
  • \n
\n\n

bioimageio.spec 0.4.5post12

\n\n
    \n
  • new env var BIOIMAGEIO_CACHE_WARNINGS_LIMIT (default: 3) to avoid spam from cache hit warnings

  • \n
  • more robust conversion of ImportableSourceFile for absolute paths to relative paths (don't fail on non-path source file)

  • \n
\n\n

bioimageio.spec 0.4.5post11

\n\n
    \n
  • resolve symlinks when transforming absolute to relative paths during serialization; see #438
  • \n
\n\n

bioimageio.spec 0.4.5post10

\n\n
    \n
  • fix loading of collection description with id (id used to be ignored)
  • \n
\n\n

bioimageio.spec 0.4.5post9

\n\n
    \n
  • support loading bioimageio resources by their animal nickname (currently only models have nicknames).
  • \n
\n\n

bioimageio.spec 0.4.5post8

\n\n
    \n
  • any field previously expecting a local relative path is now also accepting an absolute path

  • \n
  • load_raw_resource_description returns a raw resource description which has no relative paths (any relative paths are converted to absolute paths).

  • \n
\n\n

bioimageio.spec 0.4.4post7

\n\n
    \n
  • add command commands.update_rdf()/update-rdf(cli)
  • \n
\n\n

bioimageio.spec 0.4.4post2

\n\n
    \n
  • fix unresolved ImportableSourceFile
  • \n
\n\n

bioimageio.spec 0.4.4post1

\n\n
    \n
  • fix collection description conversion for type field
  • \n
\n\n

bioimageio.spec 0.4.3post1

\n\n
    \n
  • fix to shape validation for model description 0.4: output shape now needs to be bigger than halo

  • \n
  • moved objects from bioimageio.spec.shared.utils to bioimageio.spec.shared[.node_transformer]

  • \n
  • additional keys to validation summary: bioimageio_spec_version, status
  • \n
\n\n

bioimageio.spec 0.4.2post4

\n\n
    \n
  • fixes to generic description:\n
      \n
    • ignore value of field root_path if present in yaml. This field is used internally and always present in RDF nodes.
    • \n
  • \n
\n\n

bioimageio.spec 0.4.1.post5

\n\n
    \n
  • fixes to collection description:\n
      \n
    • RDFs specified directly in collection description are validated correctly even if their source field does not point to an RDF.
    • \n
    • nesting of collection description allowed
    • \n
  • \n
\n\n

bioimageio.spec 0.4.1.post4

\n\n
    \n
  • fixed missing field icon in generic description's raw node

  • \n
  • fixes to collection description:

    \n\n
      \n
    • RDFs specified directly in collection description are validated correctly
    • \n
    • no nesting of collection description allowed for now
    • \n
    • links is no longer an explicit collection entry field (\"moved\" to unknown)
    • \n
  • \n
\n\n

bioimageio.spec 0.4.1.post0

\n\n
    \n
  • new model spec 0.3.5 and 0.4.1
  • \n
\n\n

bioimageio.spec 0.4.0.post3

\n\n
    \n
  • load_raw_resource_description no longer accepts update_to_current_format kwarg (use update_to_format instead)
  • \n
\n\n

bioimageio.spec 0.4.0.post2

\n\n
    \n
  • load_raw_resource_description accepts update_to_format kwarg
  • \n
\n\n

Resource Description Format Versions

\n\n

model 0.5.1 (planned)

\n\n
    \n
  • Non-breaking changes\n
      \n
    • added DataDependentSize for outputs.i.size to specify an output shape that is not known before inference is run.
    • \n
    • added optional inputs.i.optional field to indicate that a tensor may be None
    • \n
  • \n
\n\n

generic 0.3.0 / application 0.3.0 / collection 0.3.0 / dataset 0.3.0 / notebook 0.3.0

\n\n
    \n
  • Breaking canges that are fully auto-convertible\n
      \n
    • dropped download_url
    • \n
    • dropped non-file attachments
    • \n
    • attachments.files moved to attachments.i.source
    • \n
  • \n
  • Non-breaking changes\n
      \n
    • added optional parent field
    • \n
  • \n
\n\n

model 0.5.0

\n\n

all generic 0.3.0 changes (except models already have the parent field) plus:

\n\n
    \n
  • Breaking changes that are partially auto-convertible\n
      \n
    • inputs.i.axes are now defined in more detail (same for outputs.i.axes)
    • \n
    • inputs.i.shape moved per axes to inputs.i.axes.size (same for outputs.i.shape)
    • \n
    • new pre-/postprocessing 'fixed_zero_mean_unit_variance' separated from 'zero_mean_unit_variance', where mode=fixed is no longer valid.\n(for scalar values this is auto-convertible.)
    • \n
  • \n
  • Breaking changes that are fully auto-convertible\n
      \n
    • changes in weights.pytorch_state_dict.architecture\n
        \n
      • renamed weights.pytorch_state_dict.architecture.source_file to ...architecture.source
      • \n
    • \n
    • changes in weights.pytorch_state_dict.dependencies\n
        \n
      • only conda environment allowed and specified by weights.pytorch_state_dict.dependencies.source
      • \n
      • new optional field weights.pytorch_state_dict.dependencies.sha256
      • \n
    • \n
    • changes in weights.tensorflow_model_bundle.dependencies\n
        \n
      • same as changes in weights.pytorch_state_dict.dependencies
      • \n
    • \n
    • moved test_inputs to inputs.i.test_tensor
    • \n
    • moved test_outputs to outputs.i.test_tensor
    • \n
    • moved sample_inputs to inputs.i.sample_tensor
    • \n
    • moved sample_outputs to outputs.i.sample_tensor
    • \n
    • renamed inputs.i.name to inputs.i.id
    • \n
    • renamed outputs.i.name to outputs.i.id
    • \n
    • renamed inputs.i.preprocessing.name to inputs.i.preprocessing.id
    • \n
    • renamed outputs.i.postprocessing.name to outputs.i.postprocessing.id
    • \n
  • \n
  • Non-breaking changes:\n
      \n
    • new pre-/postprocessing: id='ensure_dtype' with kwarg dtype
    • \n
  • \n
\n\n

generic 0.2.4 and model 0.4.10

\n\n
    \n
  • Breaking changes that are fully auto-convertible\n
      \n
    • id overwritten with value from config.bioimageio.nickname if available
    • \n
  • \n
  • Non-breaking changes\n
      \n
    • version_number is a new, optional field indicating that an RDF is the nth published version with a given id
    • \n
    • id_emoji is a new, optional field (set from config.bioimageio.nickname_icon if available)
    • \n
    • uploader is a new, optional field with email and an optional name subfields
    • \n
  • \n
\n\n

model 0.4.9

\n\n
    \n
  • Non-breaking changes\n
      \n
    • make pre-/postprocessing kwargs mode and axes always optional for model description 0.3 and 0.4
    • \n
  • \n
\n\n

model 0.4.8

\n\n
    \n
  • Non-breaking changes\n
      \n
    • cite field is now optional
    • \n
  • \n
\n\n

generic 0.2.2 and model 0.4.7

\n\n
    \n
  • Breaking changes that are fully auto-convertible\n
      \n
    • name field may not include '/' or '\\' (conversion removes these)
    • \n
  • \n
\n\n

model 0.4.6

\n\n
    \n
  • Non-breaking changes\n
      \n
    • Implicit output shape can be expanded by inserting null into shape:scale and indicating length of new dimension D in the offset field. Keep in mind that D=2*'offset'.
    • \n
  • \n
\n\n

model 0.4.5

\n\n
    \n
  • Breaking changes that are fully auto-convertible\n
      \n
    • parent field changed to hold a string that is a bioimage.io ID, a URL or a local relative path (and not subfields uri and sha256)
    • \n
  • \n
\n\n

model 0.4.4

\n\n
    \n
  • Non-breaking changes\n
      \n
    • new optional field training_data
    • \n
  • \n
\n\n

dataset 0.2.2

\n\n
    \n
  • Non-breaking changes\n
      \n
    • explicitly define and document dataset description (for now, clone of generic description with type=\"dataset\")
    • \n
  • \n
\n\n

model 0.4.3

\n\n
    \n
  • Non-breaking changes\n
      \n
    • add optional field download_url
    • \n
    • add optional field dependencies to all weight formats (not only pytorch_state_dict)
    • \n
    • add optional pytorch_version to the pytorch_state_dict and torchscript weight formats
    • \n
  • \n
\n\n

model 0.4.2

\n\n
    \n
  • Bug fixes:\n
      \n
    • in a pytorch_state_dict weight entry architecture is no longer optional.
    • \n
  • \n
\n\n

collection 0.2.2

\n\n
    \n
  • Non-breaking changes

    \n\n
      \n
    • make authors, cite, documentation and tags optional
    • \n
  • \n
  • Breaking changes that are fully auto-convertible

    \n\n
      \n
    • Simplifies collection description 0.2.1 by merging resource type fields together to a collection field,\nholindg a list of all resources in the specified collection.
    • \n
  • \n
\n\n

generic 0.2.2 / model 0.3.6 / model 0.4.2

\n\n
    \n
  • Non-breaking changes\n
      \n
    • rdf_source new optional field
    • \n
    • id new optional field
    • \n
  • \n
\n\n

collection 0.2.1

\n\n
    \n
  • First official release, extends generic description with fields application, model, dataset, notebook and (nested)\ncollection, which hold lists linking to respective resources.
  • \n
\n\n

generic 0.2.1

\n\n
    \n
  • Non-breaking changes\n
      \n
    • add optional email and github_user fields to entries in authors
    • \n
    • add optional maintainers field (entries like in authors but github_user is required (and name is not))
    • \n
  • \n
\n\n

model 0.4.1

\n\n
    \n
  • Breaking changes that are fully auto-convertible

    \n\n
      \n
    • moved field dependencies to weights:pytorch_state_dict:dependencies
    • \n
  • \n
  • Non-breaking changes

    \n\n
      \n
    • documentation field accepts URLs as well
    • \n
  • \n
\n\n

model 0.3.5

\n\n
    \n
  • Non-breaking changes\n
      \n
    • documentation field accepts URLs as well
    • \n
  • \n
\n\n

model 0.4.0

\n\n
    \n
  • Breaking changes

    \n\n
      \n
    • model inputs and outputs may not use duplicated names.
    • \n
    • model field sha256 is required if pytorch_state_dict weights are defined.\nand is now moved to the pytroch_state_dict entry as architecture_sha256.
    • \n
  • \n
  • Breaking changes that are fully auto-convertible

    \n\n
      \n
    • model fields language and framework are removed.
    • \n
    • model field source is renamed architecture and is moved together with kwargs to the pytorch_state_dict\nweights entry (if it exists, otherwise they are removed).
    • \n
    • the weight format pytorch_script was renamed to torchscript.
    • \n
  • \n
  • Other changes\n
      \n
    • model inputs (like outputs) may be defined by scaleing and offseting a reference_tensor
    • \n
    • a maintainers field was added to the model description.
    • \n
    • the entries in the authors field may now additionally contain email or github_user.
    • \n
    • the summary returned by the validate command now also contains a list of warnings.
    • \n
    • an update_format command was added to aid with updating older RDFs by applying auto-conversion.
    • \n
  • \n
\n\n

model 0.3.4

\n\n
    \n
  • Non-breaking changes\n
      \n
    • Add optional parameter eps to scale_range postprocessing.
    • \n
  • \n
\n\n

model 0.3.3

\n\n
    \n
  • Breaking changes that are fully auto-convertible\n
      \n
    • reference_input for implicit output tensor shape was renamed to reference_tensor
    • \n
  • \n
\n\n

model 0.3.2

\n\n
    \n
  • Breaking changes

    \n\n
      \n
    • The RDF file name in a package should be rdf.yaml for all the RDF (not model.yaml);
    • \n
    • Change authors and packaged_by fields from List[str] to List[Author] with Author consisting of a dictionary {name: '<Full name>', affiliation: '<Affiliation>', orcid: 'optional orcid id'};
    • \n
    • Add a mandatory type field to comply with the generic description. Only valid value is 'model' for model description;
    • \n
    • Only allow license identifier from the SPDX license list;
    • \n
  • \n
  • Non-breaking changes

    \n\n
      \n
    • Add optional version field (default 0.1.0) to keep track of model changes;
    • \n
    • Allow the values in the attachments list to be any values besides URI;
    • \n
  • \n
\n"}, "bioimageio.spec._internal.common_nodes": {"fullname": "bioimageio.spec._internal.common_nodes", "modulename": "bioimageio.spec._internal.common_nodes", "kind": "module", "doc": "

\n"}, "bioimageio.spec._internal.common_nodes.StringNode": {"fullname": "bioimageio.spec._internal.common_nodes.StringNode", "modulename": "bioimageio.spec._internal.common_nodes", "qualname": "StringNode", "kind": "class", "doc": "

deprecated! don't use for new spec fields!

\n", "bases": "collections.UserString, abc.ABC"}, "bioimageio.spec._internal.common_nodes.StringNode.__init__": {"fullname": "bioimageio.spec._internal.common_nodes.StringNode.__init__", "modulename": "bioimageio.spec._internal.common_nodes", "qualname": "StringNode.__init__", "kind": "function", "doc": "

\n", "signature": "(seq: object)"}, "bioimageio.spec._internal.common_nodes.StringNode.model_fields": {"fullname": "bioimageio.spec._internal.common_nodes.StringNode.model_fields", "modulename": "bioimageio.spec._internal.common_nodes", "qualname": "StringNode.model_fields", "kind": "variable", "doc": "

\n"}, "bioimageio.spec._internal.common_nodes.CArgs": {"fullname": "bioimageio.spec._internal.common_nodes.CArgs", "modulename": "bioimageio.spec._internal.common_nodes", "qualname": "CArgs", "kind": "variable", "doc": "

\n", "default_value": "CArgs"}, "bioimageio.spec._internal.common_nodes.Converter": {"fullname": "bioimageio.spec._internal.common_nodes.Converter", "modulename": "bioimageio.spec._internal.common_nodes", "qualname": "Converter", "kind": "class", "doc": "

Abstract base class for generic types.

\n\n

On Python 3.12 and newer, generic classes implicitly inherit from\nGeneric when they declare a parameter list after the class's name::

\n\n
class Mapping[KT, VT]:\n    def __getitem__(self, key: KT) -> VT:\n        ...\n    # Etc.\n
\n\n

On older versions of Python, however, generic classes have to\nexplicitly inherit from Generic.

\n\n

After a class has been declared to be generic, it can then be used as\nfollows::

\n\n
def lookup_name[KT, VT](mapping: Mapping[KT, VT], key: KT, default: VT) -> VT:\n    try:\n        return mapping[key]\n    except KeyError:\n        return default\n
\n", "bases": "typing.Generic[~SRC, ~TGT, typing.Unpack[CArgs]], abc.ABC"}, "bioimageio.spec._internal.common_nodes.Converter.src": {"fullname": "bioimageio.spec._internal.common_nodes.Converter.src", "modulename": "bioimageio.spec._internal.common_nodes", "qualname": "Converter.src", "kind": "variable", "doc": "

\n", "annotation": ": Final[Type[~SRC]]"}, "bioimageio.spec._internal.common_nodes.Converter.tgt": {"fullname": "bioimageio.spec._internal.common_nodes.Converter.tgt", "modulename": "bioimageio.spec._internal.common_nodes", "qualname": "Converter.tgt", "kind": "variable", "doc": "

\n", "annotation": ": Final[Type[~TGT]]"}, "bioimageio.spec._internal.common_nodes.Converter.convert": {"fullname": "bioimageio.spec._internal.common_nodes.Converter.convert", "modulename": "bioimageio.spec._internal.common_nodes", "qualname": "Converter.convert", "kind": "function", "doc": "

convert source node

\n\n

Args:\n source: A bioimageio description node

\n\n

Raises:\n ValidationError: conversion failed

\n", "signature": "(self, source: ~SRC, /, *args: Unpack[CArgs]) -> ~TGT:", "funcdef": "def"}, "bioimageio.spec._internal.common_nodes.Converter.convert_as_dict": {"fullname": "bioimageio.spec._internal.common_nodes.Converter.convert_as_dict", "modulename": "bioimageio.spec._internal.common_nodes", "qualname": "Converter.convert_as_dict", "kind": "function", "doc": "

\n", "signature": "(self, source: ~SRC, /, *args: Unpack[CArgs]) -> Dict[str, Any]:", "funcdef": "def"}, "bioimageio.spec._internal.common_nodes.NodeWithExplicitlySetFields": {"fullname": "bioimageio.spec._internal.common_nodes.NodeWithExplicitlySetFields", "modulename": "bioimageio.spec._internal.common_nodes", "qualname": "NodeWithExplicitlySetFields", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "bioimageio.spec._internal.node.Node"}, "bioimageio.spec._internal.common_nodes.NodeWithExplicitlySetFields.fields_to_set_explicitly": {"fullname": "bioimageio.spec._internal.common_nodes.NodeWithExplicitlySetFields.fields_to_set_explicitly", "modulename": "bioimageio.spec._internal.common_nodes", "qualname": "NodeWithExplicitlySetFields.fields_to_set_explicitly", "kind": "variable", "doc": "

set set these fields explicitly with their default value if they are not set,\nsuch that they are always included even when dumping with 'exlude_unset'

\n", "annotation": ": ClassVar[FrozenSet[LiteralString]]", "default_value": "frozenset()"}, "bioimageio.spec._internal.common_nodes.NodeWithExplicitlySetFields.set_fields_explicitly": {"fullname": "bioimageio.spec._internal.common_nodes.NodeWithExplicitlySetFields.set_fields_explicitly", "modulename": "bioimageio.spec._internal.common_nodes", "qualname": "NodeWithExplicitlySetFields.set_fields_explicitly", "kind": "function", "doc": "

\n", "signature": "(cls, data: Union[Any, Dict[str, Any]]) -> Union[Any, Dict[str, Any]]:", "funcdef": "def"}, "bioimageio.spec._internal.common_nodes.NodeWithExplicitlySetFields.model_config": {"fullname": "bioimageio.spec._internal.common_nodes.NodeWithExplicitlySetFields.model_config", "modulename": "bioimageio.spec._internal.common_nodes", "qualname": "NodeWithExplicitlySetFields.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec._internal.common_nodes.NodeWithExplicitlySetFields.model_fields": {"fullname": "bioimageio.spec._internal.common_nodes.NodeWithExplicitlySetFields.model_fields", "modulename": "bioimageio.spec._internal.common_nodes", "qualname": "NodeWithExplicitlySetFields.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec._internal.common_nodes.NodeWithExplicitlySetFields.model_computed_fields": {"fullname": "bioimageio.spec._internal.common_nodes.NodeWithExplicitlySetFields.model_computed_fields", "modulename": "bioimageio.spec._internal.common_nodes", "qualname": "NodeWithExplicitlySetFields.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec._internal.common_nodes.ResourceDescrBase": {"fullname": "bioimageio.spec._internal.common_nodes.ResourceDescrBase", "modulename": "bioimageio.spec._internal.common_nodes", "qualname": "ResourceDescrBase", "kind": "class", "doc": "

base class for all resource descriptions

\n", "bases": "NodeWithExplicitlySetFields, abc.ABC, _ResourceDescrBaseAbstractFieldsProtocol"}, "bioimageio.spec._internal.common_nodes.ResourceDescrBase.fields_to_set_explicitly": {"fullname": "bioimageio.spec._internal.common_nodes.ResourceDescrBase.fields_to_set_explicitly", "modulename": "bioimageio.spec._internal.common_nodes", "qualname": "ResourceDescrBase.fields_to_set_explicitly", "kind": "variable", "doc": "

set set these fields explicitly with their default value if they are not set,\nsuch that they are always included even when dumping with 'exlude_unset'

\n", "annotation": ": ClassVar[FrozenSet[LiteralString]]", "default_value": "frozenset({'format_version', 'type'})"}, "bioimageio.spec._internal.common_nodes.ResourceDescrBase.implemented_format_version": {"fullname": "bioimageio.spec._internal.common_nodes.ResourceDescrBase.implemented_format_version", "modulename": "bioimageio.spec._internal.common_nodes", "qualname": "ResourceDescrBase.implemented_format_version", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[str]"}, "bioimageio.spec._internal.common_nodes.ResourceDescrBase.implemented_format_version_tuple": {"fullname": "bioimageio.spec._internal.common_nodes.ResourceDescrBase.implemented_format_version_tuple", "modulename": "bioimageio.spec._internal.common_nodes", "qualname": "ResourceDescrBase.implemented_format_version_tuple", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[Tuple[int, int, int]]"}, "bioimageio.spec._internal.common_nodes.ResourceDescrBase.validation_summary": {"fullname": "bioimageio.spec._internal.common_nodes.ResourceDescrBase.validation_summary", "modulename": "bioimageio.spec._internal.common_nodes", "qualname": "ResourceDescrBase.validation_summary", "kind": "variable", "doc": "

\n", "annotation": ": bioimageio.spec.summary.ValidationSummary"}, "bioimageio.spec._internal.common_nodes.ResourceDescrBase.root": {"fullname": "bioimageio.spec._internal.common_nodes.ResourceDescrBase.root", "modulename": "bioimageio.spec._internal.common_nodes", "qualname": "ResourceDescrBase.root", "kind": "variable", "doc": "

\n", "annotation": ": Union[bioimageio.spec._internal.url.HttpUrl, Annotated[pathlib.Path, PathType(path_type='dir')]]"}, "bioimageio.spec._internal.common_nodes.ResourceDescrBase.load": {"fullname": "bioimageio.spec._internal.common_nodes.ResourceDescrBase.load", "modulename": "bioimageio.spec._internal.common_nodes", "qualname": "ResourceDescrBase.load", "kind": "function", "doc": "

\n", "signature": "(\tcls,\tdata: Dict[str, YamlValue],\tcontext: Optional[bioimageio.spec._internal.validation_context.ValidationContext] = None) -> Union[Self, bioimageio.spec._internal.common_nodes.InvalidDescr]:", "funcdef": "def"}, "bioimageio.spec._internal.common_nodes.ResourceDescrBase.model_config": {"fullname": "bioimageio.spec._internal.common_nodes.ResourceDescrBase.model_config", "modulename": "bioimageio.spec._internal.common_nodes", "qualname": "ResourceDescrBase.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec._internal.common_nodes.ResourceDescrBase.model_post_init": {"fullname": "bioimageio.spec._internal.common_nodes.ResourceDescrBase.model_post_init", "modulename": "bioimageio.spec._internal.common_nodes", "qualname": "ResourceDescrBase.model_post_init", "kind": "function", "doc": "

This function is meant to behave like a BaseModel method to initialise private attributes.

\n\n

It takes context as an argument since that's what pydantic-core passes when calling it.

\n\n

Args:\n self: The BaseModel instance.\n __context: The context.

\n", "signature": "(self: pydantic.main.BaseModel, __context: Any) -> None:", "funcdef": "def"}, "bioimageio.spec._internal.common_nodes.ResourceDescrBase.model_fields": {"fullname": "bioimageio.spec._internal.common_nodes.ResourceDescrBase.model_fields", "modulename": "bioimageio.spec._internal.common_nodes", "qualname": "ResourceDescrBase.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec._internal.common_nodes.ResourceDescrBase.model_computed_fields": {"fullname": "bioimageio.spec._internal.common_nodes.ResourceDescrBase.model_computed_fields", "modulename": "bioimageio.spec._internal.common_nodes", "qualname": "ResourceDescrBase.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec._internal.common_nodes.InvalidDescr": {"fullname": "bioimageio.spec._internal.common_nodes.InvalidDescr", "modulename": "bioimageio.spec._internal.common_nodes", "qualname": "InvalidDescr", "kind": "class", "doc": "

base class for all resource descriptions

\n", "bases": "ResourceDescrBase"}, "bioimageio.spec._internal.common_nodes.InvalidDescr.type": {"fullname": "bioimageio.spec._internal.common_nodes.InvalidDescr.type", "modulename": "bioimageio.spec._internal.common_nodes", "qualname": "InvalidDescr.type", "kind": "variable", "doc": "

\n", "annotation": ": Any"}, "bioimageio.spec._internal.common_nodes.InvalidDescr.format_version": {"fullname": "bioimageio.spec._internal.common_nodes.InvalidDescr.format_version", "modulename": "bioimageio.spec._internal.common_nodes", "qualname": "InvalidDescr.format_version", "kind": "variable", "doc": "

\n", "annotation": ": Any"}, "bioimageio.spec._internal.common_nodes.InvalidDescr.fields_to_set_explicitly": {"fullname": "bioimageio.spec._internal.common_nodes.InvalidDescr.fields_to_set_explicitly", "modulename": "bioimageio.spec._internal.common_nodes", "qualname": "InvalidDescr.fields_to_set_explicitly", "kind": "variable", "doc": "

set set these fields explicitly with their default value if they are not set,\nsuch that they are always included even when dumping with 'exlude_unset'

\n", "annotation": ": ClassVar[FrozenSet[LiteralString]]", "default_value": "frozenset()"}, "bioimageio.spec._internal.common_nodes.InvalidDescr.implemented_format_version": {"fullname": "bioimageio.spec._internal.common_nodes.InvalidDescr.implemented_format_version", "modulename": "bioimageio.spec._internal.common_nodes", "qualname": "InvalidDescr.implemented_format_version", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[str]", "default_value": "'unknown'"}, "bioimageio.spec._internal.common_nodes.InvalidDescr.implemented_format_version_tuple": {"fullname": "bioimageio.spec._internal.common_nodes.InvalidDescr.implemented_format_version_tuple", "modulename": "bioimageio.spec._internal.common_nodes", "qualname": "InvalidDescr.implemented_format_version_tuple", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[Tuple[int, int, int]]", "default_value": "(0, 0, 0)"}, "bioimageio.spec._internal.common_nodes.InvalidDescr.model_config": {"fullname": "bioimageio.spec._internal.common_nodes.InvalidDescr.model_config", "modulename": "bioimageio.spec._internal.common_nodes", "qualname": "InvalidDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'allow', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True, 'title': 'An invalid resource description'}"}, "bioimageio.spec._internal.common_nodes.InvalidDescr.model_fields": {"fullname": "bioimageio.spec._internal.common_nodes.InvalidDescr.model_fields", "modulename": "bioimageio.spec._internal.common_nodes", "qualname": "InvalidDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'type': FieldInfo(annotation=Any, required=False, default='unknown'), 'format_version': FieldInfo(annotation=Any, required=False, default='unknown')}"}, "bioimageio.spec._internal.common_nodes.InvalidDescr.model_computed_fields": {"fullname": "bioimageio.spec._internal.common_nodes.InvalidDescr.model_computed_fields", "modulename": "bioimageio.spec._internal.common_nodes", "qualname": "InvalidDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec._internal.common_nodes.KwargsNode": {"fullname": "bioimageio.spec._internal.common_nodes.KwargsNode", "modulename": "bioimageio.spec._internal.common_nodes", "qualname": "KwargsNode", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "bioimageio.spec._internal.node.Node"}, "bioimageio.spec._internal.common_nodes.KwargsNode.get": {"fullname": "bioimageio.spec._internal.common_nodes.KwargsNode.get", "modulename": "bioimageio.spec._internal.common_nodes", "qualname": "KwargsNode.get", "kind": "function", "doc": "

\n", "signature": "(self, item: str, default: Any = None) -> Any:", "funcdef": "def"}, "bioimageio.spec._internal.common_nodes.KwargsNode.model_config": {"fullname": "bioimageio.spec._internal.common_nodes.KwargsNode.model_config", "modulename": "bioimageio.spec._internal.common_nodes", "qualname": "KwargsNode.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec._internal.common_nodes.KwargsNode.model_fields": {"fullname": "bioimageio.spec._internal.common_nodes.KwargsNode.model_fields", "modulename": "bioimageio.spec._internal.common_nodes", "qualname": "KwargsNode.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec._internal.common_nodes.KwargsNode.model_computed_fields": {"fullname": "bioimageio.spec._internal.common_nodes.KwargsNode.model_computed_fields", "modulename": "bioimageio.spec._internal.common_nodes", "qualname": "KwargsNode.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec._internal.constants": {"fullname": "bioimageio.spec._internal.constants", "modulename": "bioimageio.spec._internal.constants", "kind": "module", "doc": "

\n"}, "bioimageio.spec._internal.constants.DOI_REGEX": {"fullname": "bioimageio.spec._internal.constants.DOI_REGEX", "modulename": "bioimageio.spec._internal.constants", "qualname": "DOI_REGEX", "kind": "variable", "doc": "

\n", "default_value": "'^10\\\\.[0-9]{4}.+$'"}, "bioimageio.spec._internal.constants.IN_PACKAGE_MESSAGE": {"fullname": "bioimageio.spec._internal.constants.IN_PACKAGE_MESSAGE", "modulename": "bioimageio.spec._internal.constants", "qualname": "IN_PACKAGE_MESSAGE", "kind": "variable", "doc": "

DEPRECATED, use ImportantFileSource to indicate that a file source should be included in a package

\n", "default_value": "'\u2208\ud83d\udce6 '"}, "bioimageio.spec._internal.constants.SHA256_HINT": {"fullname": "bioimageio.spec._internal.constants.SHA256_HINT", "modulename": "bioimageio.spec._internal.constants", "qualname": "SHA256_HINT", "kind": "variable", "doc": "

\n", "default_value": ""You can drag and drop your file to this\\n[online tool](http://emn178.github.io/online-tools/sha256_checksum.html) to generate a SHA256 in your browser.\\nOr you can generate a SHA256 checksum with Python's `hashlib`,\\n[here is a codesnippet](https://gist.github.com/FynnBe/e64460463df89439cff218bbf59c1100).""}, "bioimageio.spec._internal.constants.SI_UNIT_REGEX": {"fullname": "bioimageio.spec._internal.constants.SI_UNIT_REGEX", "modulename": "bioimageio.spec._internal.constants", "qualname": "SI_UNIT_REGEX", "kind": "variable", "doc": "

\n", "default_value": "'^(Q|R|Y|Z|E|P|T|G|M|k|h|da|d|c|m|\u00b5|n|p|f|a|z|y|r|q)?(m|g|s|A|K|mol|cd|Hz|N|Pa|J|W|C|V|F|\u03a9|S|Wb|T|H|lm|lx|Bq|Gy|Sv|kat|l|L)(\\\\^[+-]?[1-9]\\\\d*)?((\u00b7(Q|R|Y|Z|E|P|T|G|M|k|h|da|d|c|m|\u00b5|n|p|f|a|z|y|r|q)?(m|g|s|A|K|mol|cd|Hz|N|Pa|J|W|C|V|F|\u03a9|S|Wb|T|H|lm|lx|Bq|Gy|Sv|kat|l|L)(\\\\^[+-]?[1-9]\\\\d*)?)|(/(Q|R|Y|Z|E|P|T|G|M|k|h|da|d|c|m|\u00b5|n|p|f|a|z|y|r|q)?(m|g|s|A|K|mol|cd|Hz|N|Pa|J|W|C|V|F|\u03a9|S|Wb|T|H|lm|lx|Bq|Gy|Sv|kat|l|L)(\\\\^+?[1-9]\\\\d*)?))*$'"}, "bioimageio.spec._internal.constants.DTYPE_LIMITS": {"fullname": "bioimageio.spec._internal.constants.DTYPE_LIMITS", "modulename": "bioimageio.spec._internal.constants", "qualname": "DTYPE_LIMITS", "kind": "variable", "doc": "

\n", "default_value": "mappingproxy({'float32': _DtypeLimit(min=-3.4028235e+38, max=3.4028235e+38), 'float64': _DtypeLimit(min=-1.7976931348623157e+308, max=1.7976931348623157e+308), 'uint8': _DtypeLimit(min=0, max=255), 'int8': _DtypeLimit(min=-128, max=127), 'uint16': _DtypeLimit(min=0, max=65535), 'int16': _DtypeLimit(min=-32768, max=32767), 'uint32': _DtypeLimit(min=0, max=4294967295), 'int32': _DtypeLimit(min=-2147483648, max=2147483647), 'uint64': _DtypeLimit(min=0, max=18446744073709551615), 'int64': _DtypeLimit(min=-9223372036854775808, max=9223372036854775807)})"}, "bioimageio.spec._internal.constants.KNOWN_GH_USERS": {"fullname": "bioimageio.spec._internal.constants.KNOWN_GH_USERS", "modulename": "bioimageio.spec._internal.constants", "qualname": "KNOWN_GH_USERS", "kind": "variable", "doc": "

\n", "annotation": ": Set[str]", "default_value": "{'oeway', 'clementcaporal', 'carlosuc3m', 'k-dominik', 'aaitorg', 'danifranco', 'iarganda', 'esgomezm', 'jansanrom', 'donglaiw', 'bioimageiobot', 'pedgomgal1', 'lenkaback', 'cfusterbarcelo', 'ivanhcenalmor', 'ctr26', 'githubuser2', 'fynnbe', 'constantinpape'}"}, "bioimageio.spec._internal.constants.N_KNOWN_GH_USERS": {"fullname": "bioimageio.spec._internal.constants.N_KNOWN_GH_USERS", "modulename": "bioimageio.spec._internal.constants", "qualname": "N_KNOWN_GH_USERS", "kind": "variable", "doc": "

\n", "default_value": "19"}, "bioimageio.spec._internal.constants.KNOWN_INVALID_GH_USERS": {"fullname": "bioimageio.spec._internal.constants.KNOWN_INVALID_GH_USERS", "modulename": "bioimageio.spec._internal.constants", "qualname": "KNOWN_INVALID_GH_USERS", "kind": "variable", "doc": "

\n", "annotation": ": Set[str]", "default_value": "{'arratemunoz', 'lmescu'}"}, "bioimageio.spec._internal.constants.N_KNOWN_INVALID_GH_USERS": {"fullname": "bioimageio.spec._internal.constants.N_KNOWN_INVALID_GH_USERS", "modulename": "bioimageio.spec._internal.constants", "qualname": "N_KNOWN_INVALID_GH_USERS", "kind": "variable", "doc": "

\n", "default_value": "2"}, "bioimageio.spec._internal.constants.VERSION": {"fullname": "bioimageio.spec._internal.constants.VERSION", "modulename": "bioimageio.spec._internal.constants", "qualname": "VERSION", "kind": "variable", "doc": "

\n", "annotation": ": str", "default_value": "'0.5.0post2'"}, "bioimageio.spec._internal.constants.TAG_CATEGORIES": {"fullname": "bioimageio.spec._internal.constants.TAG_CATEGORIES", "modulename": "bioimageio.spec._internal.constants", "qualname": "TAG_CATEGORIES", "kind": "variable", "doc": "

\n", "annotation": ": Mapping[str, Mapping[str, Sequence[str]]]", "default_value": "{'model': {'modality': ['electron-microscopy', 'cryo-electron-microscopy', 'fluorescence-light-microscopy', 'transmission-light-microscopy', 'super-resolution-microscopy', 'x-ray-microscopy', 'force-microscopy', 'high-content-imaging', 'whole-slide-imaging', 'other'], 'dims': ['2d', '3d', '2d-t', '3d-t'], 'content': ['cells', 'nuclei', 'extracellular-vesicles', 'tissue', 'plant', 'mitochondria', 'vasculature', 'cell-membrane', 'brain', 'whole-organism'], 'framework': ['tensorflow', 'pytorch', 'tensorflow.js'], 'software': ['ilastik', 'imagej', 'fiji', 'imjoy', 'deepimagej', 'n2v'], 'network': ['unet', 'densenet', 'resnet', 'inception', 'shufflenet'], 'task': ['semantic-segmentation', 'instance-segmentation', 'object-detection', 'image-classification', 'denoising', 'image-restoration', 'image-reconstruction', 'in-silico-labeling']}}"}, "bioimageio.spec._internal.docs_utils": {"fullname": "bioimageio.spec._internal.docs_utils", "modulename": "bioimageio.spec._internal.docs_utils", "kind": "module", "doc": "

\n"}, "bioimageio.spec._internal.docs_utils.get_ref_url": {"fullname": "bioimageio.spec._internal.docs_utils.get_ref_url", "modulename": "bioimageio.spec._internal.docs_utils", "qualname": "get_ref_url", "kind": "function", "doc": "

get github url with line range fragment to reference implementation from non-raw github file url

\n\n

example:

\n\n
\n
>>> get_ref_url(\n...     "class",\n...     "Binarize",\n...     "https://github.com/bioimage-io/core-bioimage-io-python/blob/main/bioimageio/core/prediction_pipeline/_processing.py"\n... )\n'https://github.com/bioimage-io/core-bioimage-io-python/blob/main/bioimageio/core/prediction_pipeline/_processing.py#L120-L127'\n
\n
\n", "signature": "(\ttype_: Literal['class', 'function'],\tname: str,\tgithub_file_url: str) -> str:", "funcdef": "def"}, "bioimageio.spec._internal.field_validation": {"fullname": "bioimageio.spec._internal.field_validation", "modulename": "bioimageio.spec._internal.field_validation", "kind": "module", "doc": "

\n"}, "bioimageio.spec._internal.field_validation.is_valid_yaml_leaf_value": {"fullname": "bioimageio.spec._internal.field_validation.is_valid_yaml_leaf_value", "modulename": "bioimageio.spec._internal.field_validation", "qualname": "is_valid_yaml_leaf_value", "kind": "function", "doc": "

\n", "signature": "(value: Any) -> bool:", "funcdef": "def"}, "bioimageio.spec._internal.field_validation.is_valid_yaml_key": {"fullname": "bioimageio.spec._internal.field_validation.is_valid_yaml_key", "modulename": "bioimageio.spec._internal.field_validation", "qualname": "is_valid_yaml_key", "kind": "function", "doc": "

\n", "signature": "(value: Union[Any, Sequence[Any]]) -> bool:", "funcdef": "def"}, "bioimageio.spec._internal.field_validation.is_valid_yaml_mapping": {"fullname": "bioimageio.spec._internal.field_validation.is_valid_yaml_mapping", "modulename": "bioimageio.spec._internal.field_validation", "qualname": "is_valid_yaml_mapping", "kind": "function", "doc": "

\n", "signature": "(value: Union[Any, Mapping[Any, Any]]) -> bool:", "funcdef": "def"}, "bioimageio.spec._internal.field_validation.is_valid_yaml_sequence": {"fullname": "bioimageio.spec._internal.field_validation.is_valid_yaml_sequence", "modulename": "bioimageio.spec._internal.field_validation", "qualname": "is_valid_yaml_sequence", "kind": "function", "doc": "

\n", "signature": "(value: Union[Any, Sequence[Any]]) -> bool:", "funcdef": "def"}, "bioimageio.spec._internal.field_validation.is_valid_yaml_value": {"fullname": "bioimageio.spec._internal.field_validation.is_valid_yaml_value", "modulename": "bioimageio.spec._internal.field_validation", "qualname": "is_valid_yaml_value", "kind": "function", "doc": "

\n", "signature": "(value: Any) -> bool:", "funcdef": "def"}, "bioimageio.spec._internal.field_validation.validate_unique_entries": {"fullname": "bioimageio.spec._internal.field_validation.validate_unique_entries", "modulename": "bioimageio.spec._internal.field_validation", "qualname": "validate_unique_entries", "kind": "function", "doc": "

\n", "signature": "(seq: Sequence[Hashable]):", "funcdef": "def"}, "bioimageio.spec._internal.field_validation.validate_gh_user": {"fullname": "bioimageio.spec._internal.field_validation.validate_gh_user", "modulename": "bioimageio.spec._internal.field_validation", "qualname": "validate_gh_user", "kind": "function", "doc": "

\n", "signature": "(username: str, hotfix_known_errorenous_names: bool = True) -> str:", "funcdef": "def"}, "bioimageio.spec._internal.field_warning": {"fullname": "bioimageio.spec._internal.field_warning", "modulename": "bioimageio.spec._internal.field_warning", "kind": "module", "doc": "

\n"}, "bioimageio.spec._internal.field_warning.ValidatorFunction": {"fullname": "bioimageio.spec._internal.field_warning.ValidatorFunction", "modulename": "bioimageio.spec._internal.field_warning", "qualname": "ValidatorFunction", "kind": "variable", "doc": "

\n", "default_value": "typing.Union[typing.Callable[[typing.Any], typing.Any], typing.Callable[[typing.Any, pydantic_core.core_schema.ValidationInfo], typing.Any]]"}, "bioimageio.spec._internal.field_warning.AnnotationMetaData": {"fullname": "bioimageio.spec._internal.field_warning.AnnotationMetaData", "modulename": "bioimageio.spec._internal.field_warning", "qualname": "AnnotationMetaData", "kind": "variable", "doc": "

\n", "default_value": "typing.Union[annotated_types.BaseMetadata, annotated_types.GroupedMetadata]"}, "bioimageio.spec._internal.field_warning.warn": {"fullname": "bioimageio.spec._internal.field_warning.warn", "modulename": "bioimageio.spec._internal.field_warning", "qualname": "warn", "kind": "function", "doc": "

treat a type or its annotation metadata as a warning condition

\n", "signature": "(\ttyp: Union[annotated_types.BaseMetadata, annotated_types.GroupedMetadata, Any],\tmsg: LiteralString,\tseverity: Literal[20, 30, 35] = 30):", "funcdef": "def"}, "bioimageio.spec._internal.field_warning.call_validator_func": {"fullname": "bioimageio.spec._internal.field_warning.call_validator_func", "modulename": "bioimageio.spec._internal.field_warning", "qualname": "call_validator_func", "kind": "function", "doc": "

\n", "signature": "(\tfunc: Union[pydantic.functional_validators._V2ValidatorClsMethod, Callable[[Any, pydantic_core.core_schema.ValidationInfo], Any], pydantic.functional_validators._OnlyValueValidatorClsMethod, Callable[[Any], Any]],\tmode: Literal['after', 'before', 'plain', 'wrap'],\tvalue: Any,\tinfo: pydantic_core.core_schema.ValidationInfo) -> Any:", "funcdef": "def"}, "bioimageio.spec._internal.field_warning.as_warning": {"fullname": "bioimageio.spec._internal.field_warning.as_warning", "modulename": "bioimageio.spec._internal.field_warning", "qualname": "as_warning", "kind": "function", "doc": "

turn validation function into a no-op, based on warning level

\n", "signature": "(\tfunc: Union[pydantic.functional_validators._V2ValidatorClsMethod, Callable[[Any, pydantic_core.core_schema.ValidationInfo], Any], pydantic.functional_validators._OnlyValueValidatorClsMethod, Callable[[Any], Any]],\t*,\tmode: Literal['after', 'before', 'plain', 'wrap'] = 'after',\tseverity: Literal[20, 30, 35] = 30,\tmsg: Optional[LiteralString] = None,\tmsg_context: Optional[Dict[str, Any]] = None) -> Union[Callable[[Any], Any], Callable[[Any, pydantic_core.core_schema.ValidationInfo], Any]]:", "funcdef": "def"}, "bioimageio.spec._internal.field_warning.AfterWarner": {"fullname": "bioimageio.spec._internal.field_warning.AfterWarner", "modulename": "bioimageio.spec._internal.field_warning", "qualname": "AfterWarner", "kind": "class", "doc": "

Like AfterValidator, but wraps validation func as_warning

\n", "bases": "pydantic.functional_validators.AfterValidator"}, "bioimageio.spec._internal.field_warning.AfterWarner.__init__": {"fullname": "bioimageio.spec._internal.field_warning.AfterWarner.__init__", "modulename": "bioimageio.spec._internal.field_warning", "qualname": "AfterWarner.__init__", "kind": "function", "doc": "

\n", "signature": "(\tfunc: 'core_schema.NoInfoValidatorFunction | core_schema.WithInfoValidatorFunction',\tseverity: Literal[20, 30, 35] = 30,\tmsg: Optional[LiteralString] = None,\tcontext: Optional[Dict[str, Any]] = None)"}, "bioimageio.spec._internal.field_warning.AfterWarner.severity": {"fullname": "bioimageio.spec._internal.field_warning.AfterWarner.severity", "modulename": "bioimageio.spec._internal.field_warning", "qualname": "AfterWarner.severity", "kind": "variable", "doc": "

\n", "annotation": ": Literal[20, 30, 35]"}, "bioimageio.spec._internal.field_warning.AfterWarner.msg": {"fullname": "bioimageio.spec._internal.field_warning.AfterWarner.msg", "modulename": "bioimageio.spec._internal.field_warning", "qualname": "AfterWarner.msg", "kind": "variable", "doc": "

\n", "annotation": ": Optional[LiteralString]"}, "bioimageio.spec._internal.field_warning.AfterWarner.context": {"fullname": "bioimageio.spec._internal.field_warning.AfterWarner.context", "modulename": "bioimageio.spec._internal.field_warning", "qualname": "AfterWarner.context", "kind": "variable", "doc": "

\n", "annotation": ": Optional[Dict[str, Any]]"}, "bioimageio.spec._internal.field_warning.BeforeWarner": {"fullname": "bioimageio.spec._internal.field_warning.BeforeWarner", "modulename": "bioimageio.spec._internal.field_warning", "qualname": "BeforeWarner", "kind": "class", "doc": "

Like BeforeValidator, but wraps validation func as_warning

\n", "bases": "pydantic.functional_validators.BeforeValidator"}, "bioimageio.spec._internal.field_warning.BeforeWarner.__init__": {"fullname": "bioimageio.spec._internal.field_warning.BeforeWarner.__init__", "modulename": "bioimageio.spec._internal.field_warning", "qualname": "BeforeWarner.__init__", "kind": "function", "doc": "

\n", "signature": "(\tfunc: 'core_schema.NoInfoValidatorFunction | core_schema.WithInfoValidatorFunction',\tseverity: Literal[20, 30, 35] = 30,\tmsg: Optional[LiteralString] = None,\tcontext: Optional[Dict[str, Any]] = None)"}, "bioimageio.spec._internal.field_warning.BeforeWarner.severity": {"fullname": "bioimageio.spec._internal.field_warning.BeforeWarner.severity", "modulename": "bioimageio.spec._internal.field_warning", "qualname": "BeforeWarner.severity", "kind": "variable", "doc": "

\n", "annotation": ": Literal[20, 30, 35]"}, "bioimageio.spec._internal.field_warning.BeforeWarner.msg": {"fullname": "bioimageio.spec._internal.field_warning.BeforeWarner.msg", "modulename": "bioimageio.spec._internal.field_warning", "qualname": "BeforeWarner.msg", "kind": "variable", "doc": "

\n", "annotation": ": Optional[LiteralString]"}, "bioimageio.spec._internal.field_warning.BeforeWarner.context": {"fullname": "bioimageio.spec._internal.field_warning.BeforeWarner.context", "modulename": "bioimageio.spec._internal.field_warning", "qualname": "BeforeWarner.context", "kind": "variable", "doc": "

\n", "annotation": ": Optional[Dict[str, Any]]"}, "bioimageio.spec._internal.field_warning.issue_warning": {"fullname": "bioimageio.spec._internal.field_warning.issue_warning", "modulename": "bioimageio.spec._internal.field_warning", "qualname": "issue_warning", "kind": "function", "doc": "

\n", "signature": "(\tmsg: LiteralString,\t*,\tvalue: Any,\tseverity: Literal[20, 30, 35] = 30,\tmsg_context: Optional[Dict[str, Any]] = None):", "funcdef": "def"}, "bioimageio.spec._internal.io": {"fullname": "bioimageio.spec._internal.io", "modulename": "bioimageio.spec._internal.io", "kind": "module", "doc": "

\n"}, "bioimageio.spec._internal.io.Sha256": {"fullname": "bioimageio.spec._internal.io.Sha256", "modulename": "bioimageio.spec._internal.io", "qualname": "Sha256", "kind": "class", "doc": "

SHA-256 hash value

\n", "bases": "pydantic.main.BaseModel, typing.Generic[~RootModelRootType]"}, "bioimageio.spec._internal.io.RelativePathBase": {"fullname": "bioimageio.spec._internal.io.RelativePathBase", "modulename": "bioimageio.spec._internal.io", "qualname": "RelativePathBase", "kind": "class", "doc": "

Usage docs: https://docs.pydantic.dev/2.6/concepts/models/#rootmodel-and-custom-root-types

\n\n

A Pydantic BaseModel for the root object of the model.

\n\n

Attributes:\n root: The root object of the model.\n __pydantic_root_model__: Whether the model is a RootModel.\n __pydantic_private__: Private fields in the model.\n __pydantic_extra__: Extra fields in the model.

\n", "bases": "pydantic.root_model.RootModel[PurePath], typing.Generic[~AbsolutePathT]"}, "bioimageio.spec._internal.io.RelativePathBase.path": {"fullname": "bioimageio.spec._internal.io.RelativePathBase.path", "modulename": "bioimageio.spec._internal.io", "qualname": "RelativePathBase.path", "kind": "variable", "doc": "

\n", "annotation": ": pathlib.PurePath"}, "bioimageio.spec._internal.io.RelativePathBase.absolute": {"fullname": "bioimageio.spec._internal.io.RelativePathBase.absolute", "modulename": "bioimageio.spec._internal.io", "qualname": "RelativePathBase.absolute", "kind": "variable", "doc": "

the absolute path/url (resolved at time of initialization with the root of the ValidationContext)

\n", "annotation": ": ~AbsolutePathT"}, "bioimageio.spec._internal.io.RelativePathBase.model_post_init": {"fullname": "bioimageio.spec._internal.io.RelativePathBase.model_post_init", "modulename": "bioimageio.spec._internal.io", "qualname": "RelativePathBase.model_post_init", "kind": "function", "doc": "

We need to both initialize private attributes and call the user-defined model_post_init\nmethod.

\n", "signature": "(self: pydantic.main.BaseModel, _ModelMetaclass__context: Any) -> None:", "funcdef": "def"}, "bioimageio.spec._internal.io.RelativePathBase.get_absolute": {"fullname": "bioimageio.spec._internal.io.RelativePathBase.get_absolute", "modulename": "bioimageio.spec._internal.io", "qualname": "RelativePathBase.get_absolute", "kind": "function", "doc": "

\n", "signature": "(\tself,\troot: Union[bioimageio.spec._internal.root_url.RootHttpUrl, Annotated[pathlib.Path, PathType(path_type='dir'), Predicate(func=<function PurePath.is_absolute>)], pydantic_core._pydantic_core.Url]) -> ~AbsolutePathT:", "funcdef": "def"}, "bioimageio.spec._internal.io.RelativePath": {"fullname": "bioimageio.spec._internal.io.RelativePath", "modulename": "bioimageio.spec._internal.io", "qualname": "RelativePath", "kind": "class", "doc": "

Usage docs: https://docs.pydantic.dev/2.6/concepts/models/#rootmodel-and-custom-root-types

\n\n

A Pydantic BaseModel for the root object of the model.

\n\n

Attributes:\n root: The root object of the model.\n __pydantic_root_model__: Whether the model is a RootModel.\n __pydantic_private__: Private fields in the model.\n __pydantic_extra__: Extra fields in the model.

\n", "bases": "pydantic.root_model.RootModel[PurePath], typing.Generic[~AbsolutePathT]"}, "bioimageio.spec._internal.io.RelativePath.get_absolute": {"fullname": "bioimageio.spec._internal.io.RelativePath.get_absolute", "modulename": "bioimageio.spec._internal.io", "qualname": "RelativePath.get_absolute", "kind": "function", "doc": "

\n", "signature": "(\tself,\troot: bioimageio.spec._internal.root_url.RootHttpUrl | pathlib.Path | pydantic_core._pydantic_core.Url) -> Union[Annotated[pathlib.Path, PathType(path_type='file'), Predicate(func=<function PurePath.is_absolute at 0x7f4545045940>)], Annotated[pathlib.Path, PathType(path_type='dir'), Predicate(func=<function PurePath.is_absolute at 0x7f4545045940>)], bioimageio.spec._internal.url.HttpUrl]:", "funcdef": "def"}, "bioimageio.spec._internal.io.RelativeFilePath": {"fullname": "bioimageio.spec._internal.io.RelativeFilePath", "modulename": "bioimageio.spec._internal.io", "qualname": "RelativeFilePath", "kind": "class", "doc": "

Usage docs: https://docs.pydantic.dev/2.6/concepts/models/#rootmodel-and-custom-root-types

\n\n

A Pydantic BaseModel for the root object of the model.

\n\n

Attributes:\n root: The root object of the model.\n __pydantic_root_model__: Whether the model is a RootModel.\n __pydantic_private__: Private fields in the model.\n __pydantic_extra__: Extra fields in the model.

\n", "bases": "pydantic.root_model.RootModel[PurePath], typing.Generic[~AbsolutePathT]"}, "bioimageio.spec._internal.io.RelativeFilePath.get_absolute": {"fullname": "bioimageio.spec._internal.io.RelativeFilePath.get_absolute", "modulename": "bioimageio.spec._internal.io", "qualname": "RelativeFilePath.get_absolute", "kind": "function", "doc": "

\n", "signature": "(\tself,\troot: bioimageio.spec._internal.root_url.RootHttpUrl | pathlib.Path | pydantic_core._pydantic_core.Url) -> Union[Annotated[pathlib.Path, PathType(path_type='file'), Predicate(func=<function PurePath.is_absolute at 0x7f4545045940>)], bioimageio.spec._internal.url.HttpUrl]:", "funcdef": "def"}, "bioimageio.spec._internal.io.RelativeDirectory": {"fullname": "bioimageio.spec._internal.io.RelativeDirectory", "modulename": "bioimageio.spec._internal.io", "qualname": "RelativeDirectory", "kind": "class", "doc": "

Usage docs: https://docs.pydantic.dev/2.6/concepts/models/#rootmodel-and-custom-root-types

\n\n

A Pydantic BaseModel for the root object of the model.

\n\n

Attributes:\n root: The root object of the model.\n __pydantic_root_model__: Whether the model is a RootModel.\n __pydantic_private__: Private fields in the model.\n __pydantic_extra__: Extra fields in the model.

\n", "bases": "pydantic.root_model.RootModel[PurePath], typing.Generic[~AbsolutePathT]"}, "bioimageio.spec._internal.io.RelativeDirectory.get_absolute": {"fullname": "bioimageio.spec._internal.io.RelativeDirectory.get_absolute", "modulename": "bioimageio.spec._internal.io", "qualname": "RelativeDirectory.get_absolute", "kind": "function", "doc": "

\n", "signature": "(\tself,\troot: bioimageio.spec._internal.root_url.RootHttpUrl | pathlib.Path | pydantic_core._pydantic_core.Url) -> Union[Annotated[pathlib.Path, PathType(path_type='dir'), Predicate(func=<function PurePath.is_absolute at 0x7f4545045940>)], bioimageio.spec._internal.url.HttpUrl]:", "funcdef": "def"}, "bioimageio.spec._internal.io.FileSource": {"fullname": "bioimageio.spec._internal.io.FileSource", "modulename": "bioimageio.spec._internal.io", "qualname": "FileSource", "kind": "variable", "doc": "

\n", "default_value": "typing.Union[typing.Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, typing.Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]]"}, "bioimageio.spec._internal.io.PermissiveFileSource": {"fullname": "bioimageio.spec._internal.io.PermissiveFileSource", "modulename": "bioimageio.spec._internal.io", "qualname": "PermissiveFileSource", "kind": "variable", "doc": "

\n", "default_value": "typing.Union[typing.Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, typing.Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)], str]"}, "bioimageio.spec._internal.io.path_or_url_adapter": {"fullname": "bioimageio.spec._internal.io.path_or_url_adapter", "modulename": "bioimageio.spec._internal.io", "qualname": "path_or_url_adapter", "kind": "variable", "doc": "

\n", "default_value": "<pydantic.type_adapter.TypeAdapter object>"}, "bioimageio.spec._internal.io.validate_suffix": {"fullname": "bioimageio.spec._internal.io.validate_suffix", "modulename": "bioimageio.spec._internal.io", "qualname": "validate_suffix", "kind": "function", "doc": "

check final suffix

\n", "signature": "(\tvalue: ~V_suffix,\tsuffix: Union[str, Sequence[str]],\tcase_sensitive: bool) -> ~V_suffix:", "funcdef": "def"}, "bioimageio.spec._internal.io.WithSuffix": {"fullname": "bioimageio.spec._internal.io.WithSuffix", "modulename": "bioimageio.spec._internal.io", "qualname": "WithSuffix", "kind": "class", "doc": "

\n"}, "bioimageio.spec._internal.io.WithSuffix.__init__": {"fullname": "bioimageio.spec._internal.io.WithSuffix.__init__", "modulename": "bioimageio.spec._internal.io", "qualname": "WithSuffix.__init__", "kind": "function", "doc": "

\n", "signature": "(\tsuffix: Union[LiteralString, Tuple[LiteralString, ...]],\tcase_sensitive: bool)"}, "bioimageio.spec._internal.io.WithSuffix.suffix": {"fullname": "bioimageio.spec._internal.io.WithSuffix.suffix", "modulename": "bioimageio.spec._internal.io", "qualname": "WithSuffix.suffix", "kind": "variable", "doc": "

\n", "annotation": ": Union[LiteralString, Tuple[LiteralString, ...]]"}, "bioimageio.spec._internal.io.WithSuffix.case_sensitive": {"fullname": "bioimageio.spec._internal.io.WithSuffix.case_sensitive", "modulename": "bioimageio.spec._internal.io", "qualname": "WithSuffix.case_sensitive", "kind": "variable", "doc": "

\n", "annotation": ": bool"}, "bioimageio.spec._internal.io.WithSuffix.validate": {"fullname": "bioimageio.spec._internal.io.WithSuffix.validate", "modulename": "bioimageio.spec._internal.io", "qualname": "WithSuffix.validate", "kind": "function", "doc": "

\n", "signature": "(\tself,\tvalue: Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]]) -> Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]]:", "funcdef": "def"}, "bioimageio.spec._internal.io.wo_special_file_name": {"fullname": "bioimageio.spec._internal.io.wo_special_file_name", "modulename": "bioimageio.spec._internal.io", "qualname": "wo_special_file_name", "kind": "function", "doc": "

\n", "signature": "(\tsrc: Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]]) -> Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]]:", "funcdef": "def"}, "bioimageio.spec._internal.io.include_in_package_serializer": {"fullname": "bioimageio.spec._internal.io.include_in_package_serializer", "modulename": "bioimageio.spec._internal.io", "qualname": "include_in_package_serializer", "kind": "variable", "doc": "

\n", "default_value": "PlainSerializer(func=<function _package>, return_type=PydanticUndefined, when_used='unless-none')"}, "bioimageio.spec._internal.io.ImportantFileSource": {"fullname": "bioimageio.spec._internal.io.ImportantFileSource", "modulename": "bioimageio.spec._internal.io", "qualname": "ImportantFileSource", "kind": "variable", "doc": "

\n", "default_value": "typing.Annotated[typing.Union[typing.Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, typing.Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator(func=<function wo_special_file_name>), PlainSerializer(func=<function _package>, return_type=PydanticUndefined, when_used='unless-none')]"}, "bioimageio.spec._internal.io.has_valid_rdf_name": {"fullname": "bioimageio.spec._internal.io.has_valid_rdf_name", "modulename": "bioimageio.spec._internal.io", "qualname": "has_valid_rdf_name", "kind": "function", "doc": "

\n", "signature": "(\tsrc: Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]]) -> bool:", "funcdef": "def"}, "bioimageio.spec._internal.io.is_valid_rdf_name": {"fullname": "bioimageio.spec._internal.io.is_valid_rdf_name", "modulename": "bioimageio.spec._internal.io", "qualname": "is_valid_rdf_name", "kind": "function", "doc": "

\n", "signature": "(file_name: str) -> bool:", "funcdef": "def"}, "bioimageio.spec._internal.io.ensure_has_valid_rdf_name": {"fullname": "bioimageio.spec._internal.io.ensure_has_valid_rdf_name", "modulename": "bioimageio.spec._internal.io", "qualname": "ensure_has_valid_rdf_name", "kind": "function", "doc": "

\n", "signature": "(\tsrc: Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]]) -> Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]]:", "funcdef": "def"}, "bioimageio.spec._internal.io.ensure_is_valid_rdf_name": {"fullname": "bioimageio.spec._internal.io.ensure_is_valid_rdf_name", "modulename": "bioimageio.spec._internal.io", "qualname": "ensure_is_valid_rdf_name", "kind": "function", "doc": "

\n", "signature": "(file_name: str) -> str:", "funcdef": "def"}, "bioimageio.spec._internal.io.YamlLeafValue": {"fullname": "bioimageio.spec._internal.io.YamlLeafValue", "modulename": "bioimageio.spec._internal.io", "qualname": "YamlLeafValue", "kind": "variable", "doc": "

\n", "default_value": "typing.Union[bool, datetime.date, datetime.datetime, int, float, str, NoneType]"}, "bioimageio.spec._internal.io.YamlKey": {"fullname": "bioimageio.spec._internal.io.YamlKey", "modulename": "bioimageio.spec._internal.io", "qualname": "YamlKey", "kind": "variable", "doc": "

\n", "default_value": "typing.Union[bool, datetime.date, datetime.datetime, int, float, str, NoneType, typing.Tuple[typing.Union[bool, datetime.date, datetime.datetime, int, float, str, NoneType], ...]]"}, "bioimageio.spec._internal.io.YamlValue": {"fullname": "bioimageio.spec._internal.io.YamlValue", "modulename": "bioimageio.spec._internal.io", "qualname": "YamlValue", "kind": "variable", "doc": "

\n", "default_value": "Union[bool, datetime.date, datetime.datetime, int, float, str, NoneType, List[ForwardRef('YamlValue')], Dict[Union[bool, datetime.date, datetime.datetime, int, float, str, NoneType, Tuple[Union[bool, datetime.date, datetime.datetime, int, float, str, NoneType], ...]], ForwardRef('YamlValue')]]"}, "bioimageio.spec._internal.io.BioimageioYamlContent": {"fullname": "bioimageio.spec._internal.io.BioimageioYamlContent", "modulename": "bioimageio.spec._internal.io", "qualname": "BioimageioYamlContent", "kind": "variable", "doc": "

\n", "default_value": "typing.Dict[str, YamlValue]"}, "bioimageio.spec._internal.io.BioimageioYamlSource": {"fullname": "bioimageio.spec._internal.io.BioimageioYamlSource", "modulename": "bioimageio.spec._internal.io", "qualname": "BioimageioYamlSource", "kind": "variable", "doc": "

\n", "default_value": "typing.Union[typing.Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, typing.Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)], str, typing.Dict[str, YamlValue]]"}, "bioimageio.spec._internal.io.OpenedBioimageioYaml": {"fullname": "bioimageio.spec._internal.io.OpenedBioimageioYaml", "modulename": "bioimageio.spec._internal.io", "qualname": "OpenedBioimageioYaml", "kind": "class", "doc": "

\n"}, "bioimageio.spec._internal.io.OpenedBioimageioYaml.__init__": {"fullname": "bioimageio.spec._internal.io.OpenedBioimageioYaml.__init__", "modulename": "bioimageio.spec._internal.io", "qualname": "OpenedBioimageioYaml.__init__", "kind": "function", "doc": "

\n", "signature": "(\tcontent: Dict[str, YamlValue],\toriginal_root: Union[Annotated[pathlib.Path, PathType(path_type='dir'), Predicate(func=<function PurePath.is_absolute>)], bioimageio.spec._internal.root_url.RootHttpUrl],\toriginal_file_name: str)"}, "bioimageio.spec._internal.io.OpenedBioimageioYaml.content": {"fullname": "bioimageio.spec._internal.io.OpenedBioimageioYaml.content", "modulename": "bioimageio.spec._internal.io", "qualname": "OpenedBioimageioYaml.content", "kind": "variable", "doc": "

\n", "annotation": ": Dict[str, YamlValue]"}, "bioimageio.spec._internal.io.OpenedBioimageioYaml.original_root": {"fullname": "bioimageio.spec._internal.io.OpenedBioimageioYaml.original_root", "modulename": "bioimageio.spec._internal.io", "qualname": "OpenedBioimageioYaml.original_root", "kind": "variable", "doc": "

\n", "annotation": ": Union[Annotated[pathlib.Path, PathType(path_type='dir'), Predicate(func=<function PurePath.is_absolute at 0x7f4545045940>)], bioimageio.spec._internal.root_url.RootHttpUrl]"}, "bioimageio.spec._internal.io.OpenedBioimageioYaml.original_file_name": {"fullname": "bioimageio.spec._internal.io.OpenedBioimageioYaml.original_file_name", "modulename": "bioimageio.spec._internal.io", "qualname": "OpenedBioimageioYaml.original_file_name", "kind": "variable", "doc": "

\n", "annotation": ": str"}, "bioimageio.spec._internal.io.DownloadedFile": {"fullname": "bioimageio.spec._internal.io.DownloadedFile", "modulename": "bioimageio.spec._internal.io", "qualname": "DownloadedFile", "kind": "class", "doc": "

\n"}, "bioimageio.spec._internal.io.DownloadedFile.__init__": {"fullname": "bioimageio.spec._internal.io.DownloadedFile.__init__", "modulename": "bioimageio.spec._internal.io", "qualname": "DownloadedFile.__init__", "kind": "function", "doc": "

\n", "signature": "(\tpath: Annotated[pathlib.Path, PathType(path_type='file')],\toriginal_root: Union[Annotated[pathlib.Path, PathType(path_type='dir'), Predicate(func=<function PurePath.is_absolute>)], bioimageio.spec._internal.root_url.RootHttpUrl],\toriginal_file_name: str)"}, "bioimageio.spec._internal.io.DownloadedFile.path": {"fullname": "bioimageio.spec._internal.io.DownloadedFile.path", "modulename": "bioimageio.spec._internal.io", "qualname": "DownloadedFile.path", "kind": "variable", "doc": "

\n", "annotation": ": Annotated[pathlib.Path, PathType(path_type='file')]"}, "bioimageio.spec._internal.io.DownloadedFile.original_root": {"fullname": "bioimageio.spec._internal.io.DownloadedFile.original_root", "modulename": "bioimageio.spec._internal.io", "qualname": "DownloadedFile.original_root", "kind": "variable", "doc": "

\n", "annotation": ": Union[Annotated[pathlib.Path, PathType(path_type='dir'), Predicate(func=<function PurePath.is_absolute at 0x7f4545045940>)], bioimageio.spec._internal.root_url.RootHttpUrl]"}, "bioimageio.spec._internal.io.DownloadedFile.original_file_name": {"fullname": "bioimageio.spec._internal.io.DownloadedFile.original_file_name", "modulename": "bioimageio.spec._internal.io", "qualname": "DownloadedFile.original_file_name", "kind": "variable", "doc": "

\n", "annotation": ": str"}, "bioimageio.spec._internal.io.HashKwargs": {"fullname": "bioimageio.spec._internal.io.HashKwargs", "modulename": "bioimageio.spec._internal.io", "qualname": "HashKwargs", "kind": "class", "doc": "

\n", "bases": "typing.TypedDict"}, "bioimageio.spec._internal.io.HashKwargs.sha256": {"fullname": "bioimageio.spec._internal.io.HashKwargs.sha256", "modulename": "bioimageio.spec._internal.io", "qualname": "HashKwargs.sha256", "kind": "variable", "doc": "

\n", "annotation": ": NotRequired[Optional[bioimageio.spec._internal.io.Sha256]]"}, "bioimageio.spec._internal.io.StrictFileSource": {"fullname": "bioimageio.spec._internal.io.StrictFileSource", "modulename": "bioimageio.spec._internal.io", "qualname": "StrictFileSource", "kind": "variable", "doc": "

\n", "default_value": "typing.Union[bioimageio.spec._internal.url.HttpUrl, typing.Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath]"}, "bioimageio.spec._internal.io.interprete_file_source": {"fullname": "bioimageio.spec._internal.io.interprete_file_source", "modulename": "bioimageio.spec._internal.io", "qualname": "interprete_file_source", "kind": "function", "doc": "

\n", "signature": "(\tfile_source: Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)], str]) -> Union[bioimageio.spec._internal.url.HttpUrl, Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath]:", "funcdef": "def"}, "bioimageio.spec._internal.io.download": {"fullname": "bioimageio.spec._internal.io.download", "modulename": "bioimageio.spec._internal.io", "qualname": "download", "kind": "function", "doc": "

\n", "signature": "(\tsource: Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)], str, bioimageio.spec._internal.io.FileDescr],\t/,\t**kwargs: Unpack[bioimageio.spec._internal.io.HashKwargs]) -> bioimageio.spec._internal.io.DownloadedFile:", "funcdef": "def"}, "bioimageio.spec._internal.io.FileDescr": {"fullname": "bioimageio.spec._internal.io.FileDescr", "modulename": "bioimageio.spec._internal.io", "qualname": "FileDescr", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "bioimageio.spec._internal.node.Node"}, "bioimageio.spec._internal.io.FileDescr.source": {"fullname": "bioimageio.spec._internal.io.FileDescr.source", "modulename": "bioimageio.spec._internal.io", "qualname": "FileDescr.source", "kind": "variable", "doc": "

\u2208\ud83d\udce6 file source

\n", "annotation": ": Annotated[Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator(func=<function wo_special_file_name at 0x7f4541d10680>), PlainSerializer(func=<function _package at 0x7f4541d118a0>, return_type=PydanticUndefined, when_used='unless-none')]"}, "bioimageio.spec._internal.io.FileDescr.sha256": {"fullname": "bioimageio.spec._internal.io.FileDescr.sha256", "modulename": "bioimageio.spec._internal.io", "qualname": "FileDescr.sha256", "kind": "variable", "doc": "

SHA256 checksum of the source file

\n", "annotation": ": Optional[bioimageio.spec._internal.io.Sha256]"}, "bioimageio.spec._internal.io.FileDescr.validate_sha256": {"fullname": "bioimageio.spec._internal.io.FileDescr.validate_sha256", "modulename": "bioimageio.spec._internal.io", "qualname": "FileDescr.validate_sha256", "kind": "function", "doc": "

\n", "signature": "(self) -> Self:", "funcdef": "def"}, "bioimageio.spec._internal.io.FileDescr.download": {"fullname": "bioimageio.spec._internal.io.FileDescr.download", "modulename": "bioimageio.spec._internal.io", "qualname": "FileDescr.download", "kind": "function", "doc": "

\n", "signature": "(self):", "funcdef": "def"}, "bioimageio.spec._internal.io.FileDescr.model_config": {"fullname": "bioimageio.spec._internal.io.FileDescr.model_config", "modulename": "bioimageio.spec._internal.io", "qualname": "FileDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec._internal.io.FileDescr.model_fields": {"fullname": "bioimageio.spec._internal.io.FileDescr.model_fields", "modulename": "bioimageio.spec._internal.io", "qualname": "FileDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'source': FieldInfo(annotation=Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], required=True, metadata=[AfterValidator(func=<function wo_special_file_name>), PlainSerializer(func=<function _package>, return_type=PydanticUndefined, when_used='unless-none')]), 'sha256': FieldInfo(annotation=Union[Sha256, NoneType], required=False)}"}, "bioimageio.spec._internal.io.FileDescr.model_computed_fields": {"fullname": "bioimageio.spec._internal.io.FileDescr.model_computed_fields", "modulename": "bioimageio.spec._internal.io", "qualname": "FileDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec._internal.io.extract_file_name": {"fullname": "bioimageio.spec._internal.io.extract_file_name", "modulename": "bioimageio.spec._internal.io", "qualname": "extract_file_name", "kind": "function", "doc": "

\n", "signature": "(\tsrc: Union[Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)], bioimageio.spec._internal.url.HttpUrl, pathlib.PurePath, bioimageio.spec._internal.io.RelativeFilePath]) -> str:", "funcdef": "def"}, "bioimageio.spec._internal.io.get_sha256": {"fullname": "bioimageio.spec._internal.io.get_sha256", "modulename": "bioimageio.spec._internal.io", "qualname": "get_sha256", "kind": "function", "doc": "

from https://stackoverflow.com/a/44873382

\n", "signature": "(path: pathlib.Path) -> bioimageio.spec._internal.io.Sha256:", "funcdef": "def"}, "bioimageio.spec._internal.io.RelativePathBase[Union[Annotated[Path, PathType, Predicate], Annotated[Path, PathType, Predicate], HttpUrl]]": {"fullname": "bioimageio.spec._internal.io.RelativePathBase[Union[Annotated[Path, PathType, Predicate], Annotated[Path, PathType, Predicate], HttpUrl]]", "modulename": "bioimageio.spec._internal.io", "qualname": "RelativePathBase[Union[Annotated[Path, PathType, Predicate], Annotated[Path, PathType, Predicate], HttpUrl]]", "kind": "class", "doc": "

Usage docs: https://docs.pydantic.dev/2.6/concepts/models/#rootmodel-and-custom-root-types

\n\n

A Pydantic BaseModel for the root object of the model.

\n\n

Attributes:\n root: The root object of the model.\n __pydantic_root_model__: Whether the model is a RootModel.\n __pydantic_private__: Private fields in the model.\n __pydantic_extra__: Extra fields in the model.

\n", "bases": "pydantic.root_model.RootModel[PurePath], typing.Generic[~AbsolutePathT]"}, "bioimageio.spec._internal.io.RelativePathBase[Union[Annotated[Path, PathType, Predicate], HttpUrl]]": {"fullname": "bioimageio.spec._internal.io.RelativePathBase[Union[Annotated[Path, PathType, Predicate], HttpUrl]]", "modulename": "bioimageio.spec._internal.io", "qualname": "RelativePathBase[Union[Annotated[Path, PathType, Predicate], HttpUrl]]", "kind": "class", "doc": "

Usage docs: https://docs.pydantic.dev/2.6/concepts/models/#rootmodel-and-custom-root-types

\n\n

A Pydantic BaseModel for the root object of the model.

\n\n

Attributes:\n root: The root object of the model.\n __pydantic_root_model__: Whether the model is a RootModel.\n __pydantic_private__: Private fields in the model.\n __pydantic_extra__: Extra fields in the model.

\n", "bases": "pydantic.root_model.RootModel[PurePath], typing.Generic[~AbsolutePathT]"}, "bioimageio.spec._internal.io.RelativePathBase[Union[Annotated[Path, PathType, Predicate], HttpUrl]]_": {"fullname": "bioimageio.spec._internal.io.RelativePathBase[Union[Annotated[Path, PathType, Predicate], HttpUrl]]_", "modulename": "bioimageio.spec._internal.io", "qualname": "RelativePathBase[Union[Annotated[Path, PathType, Predicate], HttpUrl]]_", "kind": "variable", "doc": "

\n", "default_value": "<class 'bioimageio.spec._internal.io.RelativePathBase[Union[Annotated[Path, PathType, Predicate], HttpUrl]]'>"}, "bioimageio.spec._internal.io_basics": {"fullname": "bioimageio.spec._internal.io_basics", "modulename": "bioimageio.spec._internal.io_basics", "kind": "module", "doc": "

\n"}, "bioimageio.spec._internal.io_basics.FileName": {"fullname": "bioimageio.spec._internal.io_basics.FileName", "modulename": "bioimageio.spec._internal.io_basics", "qualname": "FileName", "kind": "variable", "doc": "

\n", "default_value": "<class 'str'>"}, "bioimageio.spec._internal.io_basics.AbsoluteDirectory": {"fullname": "bioimageio.spec._internal.io_basics.AbsoluteDirectory", "modulename": "bioimageio.spec._internal.io_basics", "qualname": "AbsoluteDirectory", "kind": "variable", "doc": "

\n", "default_value": "typing.Annotated[pathlib.Path, PathType(path_type='dir'), Predicate(func=<function PurePath.is_absolute>)]"}, "bioimageio.spec._internal.io_basics.AbsoluteFilePath": {"fullname": "bioimageio.spec._internal.io_basics.AbsoluteFilePath", "modulename": "bioimageio.spec._internal.io_basics", "qualname": "AbsoluteFilePath", "kind": "variable", "doc": "

\n", "default_value": "typing.Annotated[pathlib.Path, PathType(path_type='file'), Predicate(func=<function PurePath.is_absolute>)]"}, "bioimageio.spec._internal.io_basics.BIOIMAGEIO_YAML": {"fullname": "bioimageio.spec._internal.io_basics.BIOIMAGEIO_YAML", "modulename": "bioimageio.spec._internal.io_basics", "qualname": "BIOIMAGEIO_YAML", "kind": "variable", "doc": "

\n", "default_value": "'rdf.yaml'"}, "bioimageio.spec._internal.io_basics.ALTERNATIVE_BIOIMAGEIO_YAML_NAMES": {"fullname": "bioimageio.spec._internal.io_basics.ALTERNATIVE_BIOIMAGEIO_YAML_NAMES", "modulename": "bioimageio.spec._internal.io_basics", "qualname": "ALTERNATIVE_BIOIMAGEIO_YAML_NAMES", "kind": "variable", "doc": "

\n", "default_value": "('bioimageio.yaml', 'model.yaml')"}, "bioimageio.spec._internal.io_basics.ALL_BIOIMAGEIO_YAML_NAMES": {"fullname": "bioimageio.spec._internal.io_basics.ALL_BIOIMAGEIO_YAML_NAMES", "modulename": "bioimageio.spec._internal.io_basics", "qualname": "ALL_BIOIMAGEIO_YAML_NAMES", "kind": "variable", "doc": "

\n", "default_value": "('rdf.yaml', 'bioimageio.yaml', 'model.yaml')"}, "bioimageio.spec._internal.io_utils": {"fullname": "bioimageio.spec._internal.io_utils", "modulename": "bioimageio.spec._internal.io_utils", "kind": "module", "doc": "

\n"}, "bioimageio.spec._internal.io_utils.yaml": {"fullname": "bioimageio.spec._internal.io_utils.yaml", "modulename": "bioimageio.spec._internal.io_utils", "qualname": "yaml", "kind": "variable", "doc": "

\n", "default_value": "<ruyaml.main.YAML object>"}, "bioimageio.spec._internal.io_utils.read_yaml": {"fullname": "bioimageio.spec._internal.io_utils.read_yaml", "modulename": "bioimageio.spec._internal.io_utils", "qualname": "read_yaml", "kind": "function", "doc": "

\n", "signature": "(\tfile: Union[Annotated[pathlib.Path, PathType(path_type='file')], TextIO]) -> YamlValue:", "funcdef": "def"}, "bioimageio.spec._internal.io_utils.write_yaml": {"fullname": "bioimageio.spec._internal.io_utils.write_yaml", "modulename": "bioimageio.spec._internal.io_utils", "qualname": "write_yaml", "kind": "function", "doc": "

\n", "signature": "(\tcontent: YamlValue,\t/,\tfile: Union[Annotated[pathlib.Path, PathType(path_type='new')], Annotated[pathlib.Path, PathType(path_type='file')], TextIO]):", "funcdef": "def"}, "bioimageio.spec._internal.io_utils.open_bioimageio_yaml": {"fullname": "bioimageio.spec._internal.io_utils.open_bioimageio_yaml", "modulename": "bioimageio.spec._internal.io_utils", "qualname": "open_bioimageio_yaml", "kind": "function", "doc": "

\n", "signature": "(\tsource: Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)], str],\t/,\t**kwargs: Unpack[bioimageio.spec._internal.io.HashKwargs]) -> bioimageio.spec._internal.io.OpenedBioimageioYaml:", "funcdef": "def"}, "bioimageio.spec._internal.io_utils.identify_bioimageio_yaml_file_name": {"fullname": "bioimageio.spec._internal.io_utils.identify_bioimageio_yaml_file_name", "modulename": "bioimageio.spec._internal.io_utils", "qualname": "identify_bioimageio_yaml_file_name", "kind": "function", "doc": "

\n", "signature": "(file_names: Iterable[str]) -> str:", "funcdef": "def"}, "bioimageio.spec._internal.io_utils.find_bioimageio_yaml_file_name": {"fullname": "bioimageio.spec._internal.io_utils.find_bioimageio_yaml_file_name", "modulename": "bioimageio.spec._internal.io_utils", "qualname": "find_bioimageio_yaml_file_name", "kind": "function", "doc": "

\n", "signature": "(path: pathlib.Path) -> str:", "funcdef": "def"}, "bioimageio.spec._internal.io_utils.unzip": {"fullname": "bioimageio.spec._internal.io_utils.unzip", "modulename": "bioimageio.spec._internal.io_utils", "qualname": "unzip", "kind": "function", "doc": "

\n", "signature": "(\tzip_file: Union[Annotated[pathlib.Path, PathType(path_type='file')], zipfile.ZipFile],\tout_path: Optional[Annotated[pathlib.Path, PathType(path_type='dir')]] = None,\toverwrite: bool = False) -> Annotated[pathlib.Path, PathType(path_type='dir')]:", "funcdef": "def"}, "bioimageio.spec._internal.io_utils.write_zip": {"fullname": "bioimageio.spec._internal.io_utils.write_zip", "modulename": "bioimageio.spec._internal.io_utils", "qualname": "write_zip", "kind": "function", "doc": "

Write a zip archive.

\n\n

Args:\n path: output path to write to.\n content: dict mapping archive names to local file paths, strings (for text files), or dict (for yaml files).\n compression: The numeric constant of compression method.\n compression_level: Compression level to use when writing files to the archive.\n See https://docs.python.org/3/library/zipfile.html#zipfile.ZipFile

\n", "signature": "(\tpath: Union[Annotated[pathlib.Path, PathType(path_type='file')], IO[bytes]],\tcontent: Mapping[str, Union[str, Annotated[pathlib.Path, PathType(path_type='file')], Dict[Any, Any]]],\t*,\tcompression: int,\tcompression_level: int) -> None:", "funcdef": "def"}, "bioimageio.spec._internal.io_utils.load_array": {"fullname": "bioimageio.spec._internal.io_utils.load_array", "modulename": "bioimageio.spec._internal.io_utils", "qualname": "load_array", "kind": "function", "doc": "

\n", "signature": "(\tsource: Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)], bioimageio.spec._internal.io.FileDescr]) -> numpy.ndarray[typing.Any, numpy.dtype[typing.Any]]:", "funcdef": "def"}, "bioimageio.spec._internal.io_utils.save_array": {"fullname": "bioimageio.spec._internal.io_utils.save_array", "modulename": "bioimageio.spec._internal.io_utils", "qualname": "save_array", "kind": "function", "doc": "

\n", "signature": "(\tpath: pathlib.Path,\tarray: numpy.ndarray[typing.Any, numpy.dtype[typing.Any]]) -> None:", "funcdef": "def"}, "bioimageio.spec._internal.license_id": {"fullname": "bioimageio.spec._internal.license_id", "modulename": "bioimageio.spec._internal.license_id", "kind": "module", "doc": "

\n"}, "bioimageio.spec._internal.license_id.DeprecatedLicenseId": {"fullname": "bioimageio.spec._internal.license_id.DeprecatedLicenseId", "modulename": "bioimageio.spec._internal.license_id", "qualname": "DeprecatedLicenseId", "kind": "class", "doc": "

Usage docs: https://docs.pydantic.dev/2.6/concepts/models/#rootmodel-and-custom-root-types

\n\n

A Pydantic BaseModel for the root object of the model.

\n\n

Attributes:\n root: The root object of the model.\n __pydantic_root_model__: Whether the model is a RootModel.\n __pydantic_private__: Private fields in the model.\n __pydantic_extra__: Extra fields in the model.

\n", "bases": "pydantic.main.BaseModel, typing.Generic[~RootModelRootType]"}, "bioimageio.spec._internal.license_id.LicenseId": {"fullname": "bioimageio.spec._internal.license_id.LicenseId", "modulename": "bioimageio.spec._internal.license_id", "qualname": "LicenseId", "kind": "class", "doc": "

Usage docs: https://docs.pydantic.dev/2.6/concepts/models/#rootmodel-and-custom-root-types

\n\n

A Pydantic BaseModel for the root object of the model.

\n\n

Attributes:\n root: The root object of the model.\n __pydantic_root_model__: Whether the model is a RootModel.\n __pydantic_private__: Private fields in the model.\n __pydantic_extra__: Extra fields in the model.

\n", "bases": "pydantic.main.BaseModel, typing.Generic[~RootModelRootType]"}, "bioimageio.spec._internal.license_id._LicenseId[Literal['AGPL-1.0', 'AGPL-3.0', 'BSD-2-Clause-FreeBSD', 'BSD-2-Clause-NetBSD', 'bzip2-1.0.5', 'eCos-2.0', 'GFDL-1.1', 'GFDL-1.2', 'GFDL-1.3', 'GPL-1.0', 'GPL-1.0+', 'GPL-2.0', 'GPL-2.0+', 'GPL-2.0-with-autoconf-exception', 'GPL-2.0-with-bison-exception', 'GPL-2.0-with-classpath-exception', 'GPL-2.0-with-font-exception', 'GPL-2.0-with-GCC-exception', 'GPL-3.0', 'GPL-3.0+', 'GPL-3.0-with-autoconf-exception', 'GPL-3.0-with-GCC-exception', 'LGPL-2.0', 'LGPL-2.0+', 'LGPL-2.1', 'LGPL-2.1+', 'LGPL-3.0', 'LGPL-3.0+', 'Nunit', 'StandardML-NJ', 'wxWindows']]": {"fullname": "bioimageio.spec._internal.license_id._LicenseId[Literal['AGPL-1.0', 'AGPL-3.0', 'BSD-2-Clause-FreeBSD', 'BSD-2-Clause-NetBSD', 'bzip2-1.0.5', 'eCos-2.0', 'GFDL-1.1', 'GFDL-1.2', 'GFDL-1.3', 'GPL-1.0', 'GPL-1.0+', 'GPL-2.0', 'GPL-2.0+', 'GPL-2.0-with-autoconf-exception', 'GPL-2.0-with-bison-exception', 'GPL-2.0-with-classpath-exception', 'GPL-2.0-with-font-exception', 'GPL-2.0-with-GCC-exception', 'GPL-3.0', 'GPL-3.0+', 'GPL-3.0-with-autoconf-exception', 'GPL-3.0-with-GCC-exception', 'LGPL-2.0', 'LGPL-2.0+', 'LGPL-2.1', 'LGPL-2.1+', 'LGPL-3.0', 'LGPL-3.0+', 'Nunit', 'StandardML-NJ', 'wxWindows']]", "modulename": "bioimageio.spec._internal.license_id", "qualname": "_LicenseId[Literal['AGPL-1.0', 'AGPL-3.0', 'BSD-2-Clause-FreeBSD', 'BSD-2-Clause-NetBSD', 'bzip2-1.0.5', 'eCos-2.0', 'GFDL-1.1', 'GFDL-1.2', 'GFDL-1.3', 'GPL-1.0', 'GPL-1.0+', 'GPL-2.0', 'GPL-2.0+', 'GPL-2.0-with-autoconf-exception', 'GPL-2.0-with-bison-exception', 'GPL-2.0-with-classpath-exception', 'GPL-2.0-with-font-exception', 'GPL-2.0-with-GCC-exception', 'GPL-3.0', 'GPL-3.0+', 'GPL-3.0-with-autoconf-exception', 'GPL-3.0-with-GCC-exception', 'LGPL-2.0', 'LGPL-2.0+', 'LGPL-2.1', 'LGPL-2.1+', 'LGPL-3.0', 'LGPL-3.0+', 'Nunit', 'StandardML-NJ', 'wxWindows']]", "kind": "class", "doc": "

Usage docs: https://docs.pydantic.dev/2.6/concepts/models/#rootmodel-and-custom-root-types

\n\n

A Pydantic BaseModel for the root object of the model.

\n\n

Attributes:\n root: The root object of the model.\n __pydantic_root_model__: Whether the model is a RootModel.\n __pydantic_private__: Private fields in the model.\n __pydantic_extra__: Extra fields in the model.

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'DRL-1.0', 'DSDP', 'dtoa', 'dvipdfm', 'ECL-1.0', 'ECL-2.0', 'EFL-1.0', 'EFL-2.0', 'eGenix', 'Elastic-2.0', 'Entessa', 'EPICS', 'EPL-1.0', 'EPL-2.0', 'ErlPL-1.1', 'etalab-2.0', 'EUDatagrid', 'EUPL-1.0', 'EUPL-1.1', 'EUPL-1.2', 'Eurosym', 'Fair', 'FDK-AAC', 'Frameworx-1.0', 'FreeBSD-DOC', 'FreeImage', 'FSFAP', 'FSFUL', 'FSFULLR', 'FSFULLRWD', 'FTL', 'GD', 'GFDL-1.1-invariants-only', 'GFDL-1.1-invariants-or-later', 'GFDL-1.1-no-invariants-only', 'GFDL-1.1-no-invariants-or-later', 'GFDL-1.1-only', 'GFDL-1.1-or-later', 'GFDL-1.2-invariants-only', 'GFDL-1.2-invariants-or-later', 'GFDL-1.2-no-invariants-only', 'GFDL-1.2-no-invariants-or-later', 'GFDL-1.2-only', 'GFDL-1.2-or-later', 'GFDL-1.3-invariants-only', 'GFDL-1.3-invariants-or-later', 'GFDL-1.3-no-invariants-only', 'GFDL-1.3-no-invariants-or-later', 'GFDL-1.3-only', 'GFDL-1.3-or-later', 'Giftware', 'GL2PS', 'Glide', 'Glulxe', 'GLWTPL', 'gnuplot', 'GPL-1.0-only', 'GPL-1.0-or-later', 'GPL-2.0-only', 'GPL-2.0-or-later', 'GPL-3.0-only', 'GPL-3.0-or-later', 'Graphics-Gems', 'gSOAP-1.3b', 'HaskellReport', 'Hippocratic-2.1', 'HP-1986', 'HPND', 'HPND-export-US', 'HPND-Markus-Kuhn', 'HPND-sell-variant', 'HPND-sell-variant-MIT-disclaimer', 'HTMLTIDY', 'IBM-pibs', 'ICU', 'IEC-Code-Components-EULA', 'IJG', 'IJG-short', 'ImageMagick', 'iMatix', 'Imlib2', 'Info-ZIP', 'Inner-Net-2.0', 'Intel', 'Intel-ACPI', 'Interbase-1.0', 'IPA', 'IPL-1.0', 'ISC', 'Jam', 'JasPer-2.0', 'JPL-image', 'JPNIC', 'JSON', 'Kazlib', 'Knuth-CTAN', 'LAL-1.2', 'LAL-1.3', 'Latex2e', 'Latex2e-translated-notice', 'Leptonica', 'LGPL-2.0-only', 'LGPL-2.0-or-later', 'LGPL-2.1-only', 'LGPL-2.1-or-later', 'LGPL-3.0-only', 'LGPL-3.0-or-later', 'LGPLLR', 'Libpng', 'libpng-2.0', 'libselinux-1.0', 'libtiff', 'libutil-David-Nugent', 'LiLiQ-P-1.1', 'LiLiQ-R-1.1', 'LiLiQ-Rplus-1.1', 'Linux-man-pages-1-para', 'Linux-man-pages-copyleft', 'Linux-man-pages-copyleft-2-para', 'Linux-man-pages-copyleft-var', 'Linux-OpenIB', 'LOOP', 'LPL-1.0', 'LPL-1.02', 'LPPL-1.0', 'LPPL-1.1', 'LPPL-1.2', 'LPPL-1.3a', 'LPPL-1.3c', 'LZMA-SDK-9.11-to-9.20', 'LZMA-SDK-9.22', 'MakeIndex', 'Martin-Birgmeier', 'metamail', 'Minpack', 'MirOS', 'MIT', 'MIT-0', 'MIT-advertising', 'MIT-CMU', 'MIT-enna', 'MIT-feh', 'MIT-Festival', 'MIT-Modern-Variant', 'MIT-open-group', 'MIT-Wu', 'MITNFA', 'Motosoto', 'mpi-permissive', 'mpich2', 'MPL-1.0', 'MPL-1.1', 'MPL-2.0', 'MPL-2.0-no-copyleft-exception', 'mplus', 'MS-LPL', 'MS-PL', 'MS-RL', 'MTLL', 'MulanPSL-1.0', 'MulanPSL-2.0', 'Multics', 'Mup', 'NAIST-2003', 'NASA-1.3', 'Naumen', 'NBPL-1.0', 'NCGL-UK-2.0', 'NCSA', 'Net-SNMP', 'NetCDF', 'Newsletr', 'NGPL', 'NICTA-1.0', 'NIST-PD', 'NIST-PD-fallback', 'NIST-Software', 'NLOD-1.0', 'NLOD-2.0', 'NLPL', 'Nokia', 'NOSL', 'Noweb', 'NPL-1.0', 'NPL-1.1', 'NPOSL-3.0', 'NRL', 'NTP', 'NTP-0', 'O-UDA-1.0', 'OCCT-PL', 'OCLC-2.0', 'ODbL-1.0', 'ODC-By-1.0', 'OFFIS', 'OFL-1.0', 'OFL-1.0-no-RFN', 'OFL-1.0-RFN', 'OFL-1.1', 'OFL-1.1-no-RFN', 'OFL-1.1-RFN', 'OGC-1.0', 'OGDL-Taiwan-1.0', 'OGL-Canada-2.0', 'OGL-UK-1.0', 'OGL-UK-2.0', 'OGL-UK-3.0', 'OGTSL', 'OLDAP-1.1', 'OLDAP-1.2', 'OLDAP-1.3', 'OLDAP-1.4', 'OLDAP-2.0', 'OLDAP-2.0.1', 'OLDAP-2.1', 'OLDAP-2.2', 'OLDAP-2.2.1', 'OLDAP-2.2.2', 'OLDAP-2.3', 'OLDAP-2.4', 'OLDAP-2.5', 'OLDAP-2.6', 'OLDAP-2.7', 'OLDAP-2.8', 'OLFL-1.3', 'OML', 'OpenPBS-2.3', 'OpenSSL', 'OPL-1.0', 'OPL-UK-3.0', 'OPUBL-1.0', 'OSET-PL-2.1', 'OSL-1.0', 'OSL-1.1', 'OSL-2.0', 'OSL-2.1', 'OSL-3.0', 'Parity-6.0.0', 'Parity-7.0.0', 'PDDL-1.0', 'PHP-3.0', 'PHP-3.01', 'Plexus', 'PolyForm-Noncommercial-1.0.0', 'PolyForm-Small-Business-1.0.0', 'PostgreSQL', 'PSF-2.0', 'psfrag', 'psutils', 'Python-2.0', 'Python-2.0.1', 'Qhull', 'QPL-1.0', 'QPL-1.0-INRIA-2004', 'Rdisc', 'RHeCos-1.1', 'RPL-1.1', 'RPL-1.5', 'RPSL-1.0', 'RSA-MD', 'RSCPL', 'Ruby', 'SAX-PD', 'Saxpath', 'SCEA', 'SchemeReport', 'Sendmail', 'Sendmail-8.23', 'SGI-B-1.0', 'SGI-B-1.1', 'SGI-B-2.0', 'SGP4', 'SHL-0.5', 'SHL-0.51', 'SimPL-2.0', 'SISSL', 'SISSL-1.2', 'Sleepycat', 'SMLNJ', 'SMPPL', 'SNIA', 'snprintf', 'Spencer-86', 'Spencer-94', 'Spencer-99', 'SPL-1.0', 'SSH-OpenSSH', 'SSH-short', 'SSPL-1.0', 'SugarCRM-1.1.3', 'SunPro', 'SWL', 'Symlinks', 'TAPR-OHL-1.0', 'TCL', 'TCP-wrappers', 'TermReadKey', 'TMate', 'TORQUE-1.1', 'TOSL', 'TPDL', 'TPL-1.0', 'TTWL', 'TU-Berlin-1.0', 'TU-Berlin-2.0', 'UCAR', 'UCL-1.0', 'Unicode-DFS-2015', 'Unicode-DFS-2016', 'Unicode-TOU', 'UnixCrypt', 'Unlicense', 'UPL-1.0', 'Vim', 'VOSTROM', 'VSL-1.0', 'W3C', 'W3C-19980720', 'W3C-20150513', 'w3m', 'Watcom-1.0', 'Widget-Workshop', 'Wsuipa', 'WTFPL', 'X11', 'X11-distribute-modifications-variant', 'Xdebug-1.03', 'Xerox', 'Xfig', 'XFree86-1.1', 'xinetd', 'xlock', 'Xnet', 'xpp', 'XSkat', 'YPL-1.0', 'YPL-1.1', 'Zed', 'Zend-2.0', 'Zimbra-1.3', 'Zimbra-1.4', 'Zlib', 'zlib-acknowledgement', 'ZPL-1.1', 'ZPL-2.0', 'ZPL-2.1']]", "kind": "class", "doc": "

Usage docs: https://docs.pydantic.dev/2.6/concepts/models/#rootmodel-and-custom-root-types

\n\n

A Pydantic BaseModel for the root object of the model.

\n\n

Attributes:\n root: The root object of the model.\n __pydantic_root_model__: Whether the model is a RootModel.\n __pydantic_private__: Private fields in the model.\n __pydantic_extra__: Extra fields in the model.

\n", "bases": "pydantic.main.BaseModel, typing.Generic[~RootModelRootType]"}, "bioimageio.spec._internal.node": {"fullname": "bioimageio.spec._internal.node", "modulename": "bioimageio.spec._internal.node", "kind": "module", "doc": "

\n"}, "bioimageio.spec._internal.node.Node": {"fullname": "bioimageio.spec._internal.node.Node", "modulename": "bioimageio.spec._internal.node", "qualname": "Node", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "pydantic.main.BaseModel"}, "bioimageio.spec._internal.node.Node.model_validate": {"fullname": "bioimageio.spec._internal.node.Node.model_validate", "modulename": "bioimageio.spec._internal.node", "qualname": "Node.model_validate", "kind": "function", "doc": "

Validate a pydantic model instance.

\n\n

Args:\n obj: The object to validate.\n strict: Whether to raise an exception on invalid fields.\n from_attributes: Whether to extract data from object attributes.\n context: Additional context to pass to the validator.

\n\n

Raises:\n ValidationError: If the object failed validation.

\n\n

Returns:\n The validated description instance.

\n", "signature": "(\tcls,\tobj: Union[Any, Dict[str, Any]],\t*,\tstrict: Optional[bool] = None,\tfrom_attributes: Optional[bool] = None,\tcontext: Union[bioimageio.spec._internal.validation_context.ValidationContext, Dict[str, Any], NoneType] = None) -> Self:", "funcdef": "def"}, "bioimageio.spec._internal.node.Node.model_config": {"fullname": "bioimageio.spec._internal.node.Node.model_config", "modulename": "bioimageio.spec._internal.node", "qualname": "Node.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec._internal.node.Node.model_fields": {"fullname": "bioimageio.spec._internal.node.Node.model_fields", "modulename": "bioimageio.spec._internal.node", "qualname": "Node.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec._internal.node.Node.model_computed_fields": {"fullname": "bioimageio.spec._internal.node.Node.model_computed_fields", "modulename": "bioimageio.spec._internal.node", "qualname": "Node.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec._internal.packaging_context": {"fullname": "bioimageio.spec._internal.packaging_context", "modulename": "bioimageio.spec._internal.packaging_context", "kind": "module", "doc": "

\n"}, "bioimageio.spec._internal.packaging_context.PackagingContext": {"fullname": "bioimageio.spec._internal.packaging_context.PackagingContext", "modulename": "bioimageio.spec._internal.packaging_context", "qualname": "PackagingContext", "kind": "class", "doc": "

\n"}, "bioimageio.spec._internal.packaging_context.PackagingContext.__init__": {"fullname": "bioimageio.spec._internal.packaging_context.PackagingContext.__init__", "modulename": "bioimageio.spec._internal.packaging_context", "qualname": "PackagingContext.__init__", "kind": "function", "doc": "

\n", "signature": "(\tbioimageio_yaml_file_name: str,\tfile_sources: Dict[str, Union[Annotated[pathlib.Path, PathType(path_type='file'), Predicate(func=<function PurePath.is_absolute>)], bioimageio.spec._internal.url.HttpUrl]] = <factory>)"}, "bioimageio.spec._internal.packaging_context.PackagingContext.bioimageio_yaml_file_name": {"fullname": "bioimageio.spec._internal.packaging_context.PackagingContext.bioimageio_yaml_file_name", "modulename": "bioimageio.spec._internal.packaging_context", "qualname": "PackagingContext.bioimageio_yaml_file_name", "kind": "variable", "doc": "

\n", "annotation": ": str"}, "bioimageio.spec._internal.packaging_context.PackagingContext.file_sources": {"fullname": "bioimageio.spec._internal.packaging_context.PackagingContext.file_sources", "modulename": "bioimageio.spec._internal.packaging_context", "qualname": "PackagingContext.file_sources", "kind": "variable", "doc": "

File sources to include in the packaged resource

\n", "annotation": ": Dict[str, Union[Annotated[pathlib.Path, PathType(path_type='file'), Predicate(func=<function PurePath.is_absolute at 0x7f4545045940>)], bioimageio.spec._internal.url.HttpUrl]]"}, "bioimageio.spec._internal.packaging_context.PackagingContext.replace": {"fullname": "bioimageio.spec._internal.packaging_context.PackagingContext.replace", "modulename": "bioimageio.spec._internal.packaging_context", "qualname": "PackagingContext.replace", "kind": "function", "doc": "

return a modiefied copy

\n", "signature": "(\tself,\t*,\tbioimageio_yaml_file_name: Optional[str] = None,\tfile_sources: Optional[Dict[str, Union[Annotated[pathlib.Path, PathType(path_type='file'), Predicate(func=<function PurePath.is_absolute>)], bioimageio.spec._internal.url.HttpUrl]]] = None) -> bioimageio.spec._internal.packaging_context.PackagingContext:", "funcdef": "def"}, "bioimageio.spec._internal.packaging_context.packaging_context_var": {"fullname": "bioimageio.spec._internal.packaging_context.packaging_context_var", "modulename": "bioimageio.spec._internal.packaging_context", "qualname": "packaging_context_var", "kind": "variable", "doc": "

\n", "annotation": ": _contextvars.ContextVar[typing.Optional[bioimageio.spec._internal.packaging_context.PackagingContext]]", "default_value": "<ContextVar name='packaging_context_var' default=None>"}, "bioimageio.spec._internal.root_url": {"fullname": "bioimageio.spec._internal.root_url", "modulename": "bioimageio.spec._internal.root_url", "kind": "module", "doc": "

\n"}, "bioimageio.spec._internal.root_url.RootHttpUrl": {"fullname": "bioimageio.spec._internal.root_url.RootHttpUrl", "modulename": "bioimageio.spec._internal.root_url", "qualname": "RootHttpUrl", "kind": "class", "doc": "

A 'URL folder', possibly an invalid http URL

\n", "bases": "pydantic.main.BaseModel, typing.Generic[~RootModelRootType]"}, "bioimageio.spec._internal.root_url.RootHttpUrl.scheme": {"fullname": "bioimageio.spec._internal.root_url.RootHttpUrl.scheme", "modulename": "bioimageio.spec._internal.root_url", "qualname": "RootHttpUrl.scheme", "kind": "variable", "doc": "

\n", "annotation": ": str"}, "bioimageio.spec._internal.root_url.RootHttpUrl.host": {"fullname": "bioimageio.spec._internal.root_url.RootHttpUrl.host", "modulename": "bioimageio.spec._internal.root_url", "qualname": "RootHttpUrl.host", "kind": "variable", "doc": "

\n", "annotation": ": Optional[str]"}, "bioimageio.spec._internal.root_url.RootHttpUrl.path": {"fullname": "bioimageio.spec._internal.root_url.RootHttpUrl.path", "modulename": "bioimageio.spec._internal.root_url", "qualname": "RootHttpUrl.path", "kind": "variable", "doc": "

\n", "annotation": ": Optional[str]"}, "bioimageio.spec._internal.root_url.RootHttpUrl.parent": {"fullname": "bioimageio.spec._internal.root_url.RootHttpUrl.parent", "modulename": "bioimageio.spec._internal.root_url", "qualname": "RootHttpUrl.parent", "kind": "variable", "doc": "

\n", "annotation": ": bioimageio.spec._internal.root_url.RootHttpUrl"}, "bioimageio.spec._internal.types": {"fullname": "bioimageio.spec._internal.types", "modulename": "bioimageio.spec._internal.types", "kind": "module", "doc": "

\n"}, "bioimageio.spec._internal.types.NotEmpty": {"fullname": "bioimageio.spec._internal.types.NotEmpty", "modulename": "bioimageio.spec._internal.types", "qualname": "NotEmpty", "kind": "variable", "doc": "

\n", "default_value": "typing.Annotated[~S, MinLen(min_length=1)]"}, "bioimageio.spec._internal.types.Datetime": {"fullname": "bioimageio.spec._internal.types.Datetime", "modulename": "bioimageio.spec._internal.types", "qualname": "Datetime", "kind": "class", "doc": "

Timestamp in ISO 8601 format\nwith a few restrictions listed here.

\n", "bases": "pydantic.main.BaseModel, typing.Generic[~RootModelRootType]"}, "bioimageio.spec._internal.types.Doi": {"fullname": "bioimageio.spec._internal.types.Doi", "modulename": "bioimageio.spec._internal.types", "qualname": "Doi", "kind": "variable", "doc": "

\n", "default_value": "<class 'bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, StringConstraints]]'>"}, "bioimageio.spec._internal.types.FormatVersionPlaceholder": {"fullname": "bioimageio.spec._internal.types.FormatVersionPlaceholder", "modulename": "bioimageio.spec._internal.types", "qualname": "FormatVersionPlaceholder", "kind": "variable", "doc": "

\n", "default_value": "typing.Literal['latest', 'discover']"}, "bioimageio.spec._internal.types.IdentifierAnno": {"fullname": "bioimageio.spec._internal.types.IdentifierAnno", "modulename": "bioimageio.spec._internal.types", "qualname": "IdentifierAnno", "kind": "variable", "doc": "

\n", "default_value": "typing.Annotated[str, MinLen(min_length=1), AfterValidator(func=<function _validate_identifier>), AfterValidator(func=<function _validate_is_not_keyword>)]"}, "bioimageio.spec._internal.types.Identifier": {"fullname": "bioimageio.spec._internal.types.Identifier", "modulename": "bioimageio.spec._internal.types", "qualname": "Identifier", "kind": "variable", "doc": "

\n", "default_value": "<class 'bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, AfterValidator, AfterValidator]]'>"}, "bioimageio.spec._internal.types.LowerCaseIdentifierAnno": {"fullname": "bioimageio.spec._internal.types.LowerCaseIdentifierAnno", "modulename": "bioimageio.spec._internal.types", "qualname": "LowerCaseIdentifierAnno", "kind": "variable", "doc": "

\n", "default_value": "typing.Annotated[str, MinLen(min_length=1), AfterValidator(func=<function _validate_identifier>), AfterValidator(func=<function _validate_is_not_keyword>), typing.Annotated[~_StrType, Predicate(func=<method 'islower' of 'str' objects>)]]"}, "bioimageio.spec._internal.types.LowerCaseIdentifier": {"fullname": "bioimageio.spec._internal.types.LowerCaseIdentifier", "modulename": "bioimageio.spec._internal.types", "qualname": "LowerCaseIdentifier", "kind": "variable", "doc": "

\n", "default_value": "<class 'bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, AfterValidator, AfterValidator, Annotated[TypeVar, Predicate]]]'>"}, "bioimageio.spec._internal.types.OrcidId": {"fullname": "bioimageio.spec._internal.types.OrcidId", "modulename": "bioimageio.spec._internal.types", "qualname": "OrcidId", "kind": "variable", "doc": "

\n", "default_value": "<class 'bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, AfterValidator]]'>"}, "bioimageio.spec._internal.types.SiUnit": {"fullname": "bioimageio.spec._internal.types.SiUnit", "modulename": "bioimageio.spec._internal.types", "qualname": "SiUnit", "kind": "variable", "doc": "

\n", "default_value": "<class 'bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, StringConstraints, BeforeValidator]]'>"}, "bioimageio.spec._internal.types.ResourceId": {"fullname": "bioimageio.spec._internal.types.ResourceId", "modulename": "bioimageio.spec._internal.types", "qualname": "ResourceId", "kind": "variable", "doc": "

\n", "default_value": "<class 'bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]]'>"}, "bioimageio.spec._internal.types.ApplicationId": {"fullname": "bioimageio.spec._internal.types.ApplicationId", "modulename": "bioimageio.spec._internal.types", "qualname": "ApplicationId", "kind": "variable", "doc": "

\n", "default_value": "<class 'bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]]'>"}, "bioimageio.spec._internal.types.CollectionId": {"fullname": "bioimageio.spec._internal.types.CollectionId", "modulename": "bioimageio.spec._internal.types", "qualname": "CollectionId", "kind": "variable", "doc": "

\n", "default_value": "<class 'bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]]'>"}, "bioimageio.spec._internal.types.DatasetId": {"fullname": "bioimageio.spec._internal.types.DatasetId", "modulename": "bioimageio.spec._internal.types", "qualname": "DatasetId", "kind": "variable", "doc": "

\n", "default_value": "<class 'bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]]'>"}, "bioimageio.spec._internal.types.ModelId": {"fullname": "bioimageio.spec._internal.types.ModelId", "modulename": "bioimageio.spec._internal.types", "qualname": "ModelId", "kind": "variable", "doc": "

\n", "default_value": "<class 'bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]]'>"}, "bioimageio.spec._internal.types.NotebookId": {"fullname": "bioimageio.spec._internal.types.NotebookId", "modulename": "bioimageio.spec._internal.types", "qualname": "NotebookId", "kind": "variable", "doc": "

\n", "default_value": "<class 'bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]]'>"}, "bioimageio.spec._internal.url": {"fullname": "bioimageio.spec._internal.url", "modulename": "bioimageio.spec._internal.url", "kind": "module", "doc": "

\n"}, "bioimageio.spec._internal.url.check_url": {"fullname": "bioimageio.spec._internal.url.check_url", "modulename": "bioimageio.spec._internal.url", "qualname": "check_url", "kind": "function", "doc": "

\n", "signature": "(url: str) -> None:", "funcdef": "def"}, "bioimageio.spec._internal.url.HttpUrl": {"fullname": "bioimageio.spec._internal.url.HttpUrl", "modulename": "bioimageio.spec._internal.url", "qualname": "HttpUrl", "kind": "class", "doc": "

A 'URL folder', possibly an invalid http URL

\n", "bases": "pydantic.main.BaseModel, typing.Generic[~RootModelRootType]"}, "bioimageio.spec._internal.utils": {"fullname": "bioimageio.spec._internal.utils", "modulename": "bioimageio.spec._internal.utils", "kind": "module", "doc": "

\n"}, "bioimageio.spec._internal.utils.NestedDict": {"fullname": "bioimageio.spec._internal.utils.NestedDict", "modulename": "bioimageio.spec._internal.utils", "qualname": "NestedDict", "kind": "variable", "doc": "

\n", "default_value": "typing.Dict[~K, ForwardRef('NestedDict[K, V] | V')]"}, "bioimageio.spec._internal.utils.nest_dict": {"fullname": "bioimageio.spec._internal.utils.nest_dict", "modulename": "bioimageio.spec._internal.utils", "qualname": "nest_dict", "kind": "function", "doc": "

\n", "signature": "(flat_dict: Dict[Tuple[~K, ...], ~V]) -> 'NestedDict[K, V]':", "funcdef": "def"}, "bioimageio.spec._internal.utils.nest_dict_with_narrow_first_key": {"fullname": "bioimageio.spec._internal.utils.nest_dict_with_narrow_first_key", "modulename": "bioimageio.spec._internal.utils", "qualname": "nest_dict_with_narrow_first_key", "kind": "function", "doc": "

convenience function to annotate a special version of a NestedDict.\nRoot level keys are of a narrower type than the nested keys. If not a ValueError is raisd.

\n", "signature": "(\tflat_dict: Dict[Tuple[~K, ...], ~V],\tfirst_k: Type[~FirstK]) -> "Dict[FirstK, 'NestedDict[K, V] | V']":", "funcdef": "def"}, "bioimageio.spec._internal.utils.unindent": {"fullname": "bioimageio.spec._internal.utils.unindent", "modulename": "bioimageio.spec._internal.utils", "qualname": "unindent", "kind": "function", "doc": "

remove minimum count of spaces at beginning of each line.

\n\n

Args:\n text: indented text\n ignore_first_line: allows to correctly unindent doc strings

\n", "signature": "(text: str, ignore_first_line: bool = False):", "funcdef": "def"}, "bioimageio.spec._internal.utils.P": {"fullname": "bioimageio.spec._internal.utils.P", "modulename": "bioimageio.spec._internal.utils", "qualname": "P", "kind": "variable", "doc": "

\n", "default_value": "~P"}, "bioimageio.spec._internal.utils.assert_all_params_set_explicitly": {"fullname": "bioimageio.spec._internal.utils.assert_all_params_set_explicitly", "modulename": "bioimageio.spec._internal.utils", "qualname": "assert_all_params_set_explicitly", "kind": "function", "doc": "

\n", "signature": "(fn: Callable[~P, ~T]) -> Callable[~P, ~T]:", "funcdef": "def"}, "bioimageio.spec._internal.validated_string": {"fullname": "bioimageio.spec._internal.validated_string", "modulename": "bioimageio.spec._internal.validated_string", "kind": "module", "doc": "

\n"}, "bioimageio.spec._internal.validated_string.ValidatedString": {"fullname": "bioimageio.spec._internal.validated_string.ValidatedString", "modulename": "bioimageio.spec._internal.validated_string", "qualname": "ValidatedString", "kind": "class", "doc": "

Usage docs: https://docs.pydantic.dev/2.6/concepts/models/#rootmodel-and-custom-root-types

\n\n

A Pydantic BaseModel for the root object of the model.

\n\n

Attributes:\n root: The root object of the model.\n __pydantic_root_model__: Whether the model is a RootModel.\n __pydantic_private__: Private fields in the model.\n __pydantic_extra__: Extra fields in the model.

\n", "bases": "pydantic.main.BaseModel, typing.Generic[~RootModelRootType]"}, "bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, AfterValidator]]": {"fullname": "bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, AfterValidator]]", "modulename": "bioimageio.spec._internal.validated_string", "qualname": "ValidatedString[Annotated[str, AfterValidator]]", "kind": "class", "doc": "

Usage docs: https://docs.pydantic.dev/2.6/concepts/models/#rootmodel-and-custom-root-types

\n\n

A Pydantic BaseModel for the root object of the model.

\n\n

Attributes:\n root: The root object of the model.\n __pydantic_root_model__: Whether the model is a RootModel.\n __pydantic_private__: Private fields in the model.\n __pydantic_extra__: Extra fields in the model.

\n", "bases": "pydantic.main.BaseModel, typing.Generic[~RootModelRootType]"}, "bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, StringConstraints]]": {"fullname": "bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, StringConstraints]]", "modulename": "bioimageio.spec._internal.validated_string", "qualname": "ValidatedString[Annotated[str, StringConstraints]]", "kind": "class", "doc": "

Usage docs: https://docs.pydantic.dev/2.6/concepts/models/#rootmodel-and-custom-root-types

\n\n

A Pydantic BaseModel for the root object of the model.

\n\n

Attributes:\n root: The root object of the model.\n __pydantic_root_model__: Whether the model is a RootModel.\n __pydantic_private__: Private fields in the model.\n __pydantic_extra__: Extra fields in the model.

\n", "bases": "pydantic.main.BaseModel, typing.Generic[~RootModelRootType]"}, "bioimageio.spec._internal.validated_string.ValidatedString[TypeVar]": {"fullname": "bioimageio.spec._internal.validated_string.ValidatedString[TypeVar]", "modulename": "bioimageio.spec._internal.validated_string", "qualname": "ValidatedString[TypeVar]", "kind": "class", "doc": "

Usage docs: https://docs.pydantic.dev/2.6/concepts/models/#rootmodel-and-custom-root-types

\n\n

A Pydantic BaseModel for the root object of the model.

\n\n

Attributes:\n root: The root object of the model.\n __pydantic_root_model__: Whether the model is a RootModel.\n __pydantic_private__: Private fields in the model.\n __pydantic_extra__: Extra fields in the model.

\n", "bases": "pydantic.main.BaseModel, typing.Generic[~RootModelRootType]"}, "bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, StringConstraints]]_": {"fullname": "bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, StringConstraints]]_", "modulename": "bioimageio.spec._internal.validated_string", "qualname": "ValidatedString[Annotated[str, StringConstraints]]_", "kind": "variable", "doc": "

\n", "default_value": "<class 'bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, StringConstraints]]'>"}, "bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, AfterValidator, AfterValidator]]": {"fullname": "bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, AfterValidator, AfterValidator]]", "modulename": "bioimageio.spec._internal.validated_string", "qualname": "ValidatedString[Annotated[str, MinLen, AfterValidator, AfterValidator]]", "kind": "class", "doc": "

Usage docs: https://docs.pydantic.dev/2.6/concepts/models/#rootmodel-and-custom-root-types

\n\n

A Pydantic BaseModel for the root object of the model.

\n\n

Attributes:\n root: The root object of the model.\n __pydantic_root_model__: Whether the model is a RootModel.\n __pydantic_private__: Private fields in the model.\n __pydantic_extra__: Extra fields in the model.

\n", "bases": "pydantic.main.BaseModel, typing.Generic[~RootModelRootType]"}, "bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, AfterValidator, AfterValidator, Annotated[TypeVar, Predicate]]]": {"fullname": "bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, AfterValidator, AfterValidator, Annotated[TypeVar, Predicate]]]", "modulename": "bioimageio.spec._internal.validated_string", "qualname": "ValidatedString[Annotated[str, MinLen, AfterValidator, AfterValidator, Annotated[TypeVar, Predicate]]]", "kind": "class", "doc": "

Usage docs: https://docs.pydantic.dev/2.6/concepts/models/#rootmodel-and-custom-root-types

\n\n

A Pydantic BaseModel for the root object of the model.

\n\n

Attributes:\n root: The root object of the model.\n __pydantic_root_model__: Whether the model is a RootModel.\n __pydantic_private__: Private fields in the model.\n __pydantic_extra__: Extra fields in the model.

\n", "bases": "pydantic.main.BaseModel, typing.Generic[~RootModelRootType]"}, "bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, AfterValidator]]_": {"fullname": "bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, AfterValidator]]_", "modulename": "bioimageio.spec._internal.validated_string", "qualname": "ValidatedString[Annotated[str, AfterValidator]]_", "kind": "variable", "doc": "

\n", "default_value": "<class 'bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, AfterValidator]]'>"}, "bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, StringConstraints, BeforeValidator]]": {"fullname": "bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, StringConstraints, BeforeValidator]]", "modulename": "bioimageio.spec._internal.validated_string", "qualname": "ValidatedString[Annotated[str, StringConstraints, BeforeValidator]]", "kind": "class", "doc": "

Usage docs: https://docs.pydantic.dev/2.6/concepts/models/#rootmodel-and-custom-root-types

\n\n

A Pydantic BaseModel for the root object of the model.

\n\n

Attributes:\n root: The root object of the model.\n __pydantic_root_model__: Whether the model is a RootModel.\n __pydantic_private__: Private fields in the model.\n __pydantic_extra__: Extra fields in the model.

\n", "bases": "pydantic.main.BaseModel, typing.Generic[~RootModelRootType]"}, "bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]]": {"fullname": "bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]]", "modulename": "bioimageio.spec._internal.validated_string", "qualname": "ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]]", "kind": "class", "doc": "

Usage docs: https://docs.pydantic.dev/2.6/concepts/models/#rootmodel-and-custom-root-types

\n\n

A Pydantic BaseModel for the root object of the model.

\n\n

Attributes:\n root: The root object of the model.\n __pydantic_root_model__: Whether the model is a RootModel.\n __pydantic_private__: Private fields in the model.\n __pydantic_extra__: Extra fields in the model.

\n", "bases": "pydantic.main.BaseModel, typing.Generic[~RootModelRootType]"}, "bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, AfterValidator, AfterValidator, Annotated[TypeVar, Predicate], MaxLen]]": {"fullname": "bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, AfterValidator, AfterValidator, Annotated[TypeVar, Predicate], MaxLen]]", "modulename": "bioimageio.spec._internal.validated_string", "qualname": "ValidatedString[Annotated[str, MinLen, AfterValidator, AfterValidator, Annotated[TypeVar, Predicate], MaxLen]]", "kind": "class", "doc": "

Usage docs: https://docs.pydantic.dev/2.6/concepts/models/#rootmodel-and-custom-root-types

\n\n

A Pydantic BaseModel for the root object of the model.

\n\n

Attributes:\n root: The root object of the model.\n __pydantic_root_model__: Whether the model is a RootModel.\n __pydantic_private__: Private fields in the model.\n __pydantic_extra__: Extra fields in the model.

\n", "bases": "pydantic.main.BaseModel, typing.Generic[~RootModelRootType]"}, "bioimageio.spec._internal.validation_context": {"fullname": "bioimageio.spec._internal.validation_context", "modulename": "bioimageio.spec._internal.validation_context", "kind": "module", "doc": "

\n"}, "bioimageio.spec._internal.validation_context.ValidationContext": {"fullname": "bioimageio.spec._internal.validation_context.ValidationContext", "modulename": "bioimageio.spec._internal.validation_context", "qualname": "ValidationContext", "kind": "class", "doc": "

\n"}, "bioimageio.spec._internal.validation_context.ValidationContext.__init__": {"fullname": "bioimageio.spec._internal.validation_context.ValidationContext.__init__", "modulename": "bioimageio.spec._internal.validation_context", "qualname": "ValidationContext.__init__", "kind": "function", "doc": "

\n", "signature": "(\troot: Union[bioimageio.spec._internal.root_url.RootHttpUrl, Annotated[pathlib.Path, PathType(path_type='dir'), Predicate(func=<function PurePath.is_absolute>)]] = PosixPath('.'),\twarning_level: Literal[20, 30, 35, 50] = 50,\tlog_warnings: bool = True,\tfile_name: Optional[str] = None,\tperform_io_checks: bool = True)"}, "bioimageio.spec._internal.validation_context.ValidationContext.root": {"fullname": "bioimageio.spec._internal.validation_context.ValidationContext.root", "modulename": "bioimageio.spec._internal.validation_context", "qualname": "ValidationContext.root", "kind": "variable", "doc": "

url/directory serving as base to resolve any relative file paths

\n", "annotation": ": Union[bioimageio.spec._internal.root_url.RootHttpUrl, Annotated[pathlib.Path, PathType(path_type='dir'), Predicate(func=<function PurePath.is_absolute at 0x7f4545045940>)]]", "default_value": "PosixPath('.')"}, "bioimageio.spec._internal.validation_context.ValidationContext.warning_level": {"fullname": "bioimageio.spec._internal.validation_context.ValidationContext.warning_level", "modulename": "bioimageio.spec._internal.validation_context", "qualname": "ValidationContext.warning_level", "kind": "variable", "doc": "

raise warnings of severity s as validation errors if s >= warning_level

\n", "annotation": ": Literal[20, 30, 35, 50]", "default_value": "50"}, "bioimageio.spec._internal.validation_context.ValidationContext.log_warnings": {"fullname": "bioimageio.spec._internal.validation_context.ValidationContext.log_warnings", "modulename": "bioimageio.spec._internal.validation_context", "qualname": "ValidationContext.log_warnings", "kind": "variable", "doc": "

if True log warnings that are not raised to the console

\n", "annotation": ": bool", "default_value": "True"}, "bioimageio.spec._internal.validation_context.ValidationContext.file_name": {"fullname": "bioimageio.spec._internal.validation_context.ValidationContext.file_name", "modulename": "bioimageio.spec._internal.validation_context", "qualname": "ValidationContext.file_name", "kind": "variable", "doc": "

file name of the bioimageio Yaml file

\n", "annotation": ": Optional[str]", "default_value": "None"}, "bioimageio.spec._internal.validation_context.ValidationContext.perform_io_checks": {"fullname": "bioimageio.spec._internal.validation_context.ValidationContext.perform_io_checks", "modulename": "bioimageio.spec._internal.validation_context", "qualname": "ValidationContext.perform_io_checks", "kind": "variable", "doc": "

wether or not to perform validation that requires file io,\ne.g. downloading a remote files.

\n\n

Existence of local absolute file paths is still being checked.

\n", "annotation": ": bool", "default_value": "True"}, "bioimageio.spec._internal.validation_context.ValidationContext.replace": {"fullname": "bioimageio.spec._internal.validation_context.ValidationContext.replace", "modulename": "bioimageio.spec._internal.validation_context", "qualname": "ValidationContext.replace", "kind": "function", "doc": "

\n", "signature": "(\tself,\troot: Union[bioimageio.spec._internal.root_url.RootHttpUrl, Annotated[pathlib.Path, PathType(path_type='dir')], NoneType] = None,\twarning_level: Optional[Literal[20, 30, 35, 50]] = None,\tlog_warnings: Optional[bool] = None,\tfile_name: Optional[str] = None,\tperform_io_checks: Optional[bool] = None) -> bioimageio.spec._internal.validation_context.ValidationContext:", "funcdef": "def"}, "bioimageio.spec._internal.validation_context.ValidationContext.source_name": {"fullname": "bioimageio.spec._internal.validation_context.ValidationContext.source_name", "modulename": "bioimageio.spec._internal.validation_context", "qualname": "ValidationContext.source_name", "kind": "variable", "doc": "

\n", "annotation": ": str"}, "bioimageio.spec._internal.validation_context.validation_context_var": {"fullname": "bioimageio.spec._internal.validation_context.validation_context_var", "modulename": "bioimageio.spec._internal.validation_context", "qualname": "validation_context_var", "kind": "variable", "doc": "

\n", "annotation": ": _contextvars.ContextVar[bioimageio.spec._internal.validation_context.ValidationContext]", "default_value": "<ContextVar name='validation_context_var' default=ValidationContext(_context_tokens=[], root=PosixPath('.'), warning_level=50, log_warnings=True, file_name=None, perform_io_checks=True)>"}, "bioimageio.spec._internal.validator_annotations": {"fullname": "bioimageio.spec._internal.validator_annotations", "modulename": "bioimageio.spec._internal.validator_annotations", "kind": "module", "doc": "

\n"}, "bioimageio.spec._internal.validator_annotations.AfterValidator": {"fullname": "bioimageio.spec._internal.validator_annotations.AfterValidator", "modulename": "bioimageio.spec._internal.validator_annotations", "qualname": "AfterValidator", "kind": "class", "doc": "

\n", "bases": "pydantic.functional_validators.AfterValidator"}, "bioimageio.spec._internal.validator_annotations.AfterValidator.__init__": {"fullname": "bioimageio.spec._internal.validator_annotations.AfterValidator.__init__", "modulename": "bioimageio.spec._internal.validator_annotations", "qualname": "AfterValidator.__init__", "kind": "function", "doc": "

\n", "signature": "(\tfunc: 'core_schema.NoInfoValidatorFunction | core_schema.WithInfoValidatorFunction')"}, "bioimageio.spec._internal.validator_annotations.BeforeValidator": {"fullname": "bioimageio.spec._internal.validator_annotations.BeforeValidator", "modulename": "bioimageio.spec._internal.validator_annotations", "qualname": "BeforeValidator", "kind": "class", "doc": "

\n", "bases": "pydantic.functional_validators.BeforeValidator"}, "bioimageio.spec._internal.validator_annotations.BeforeValidator.__init__": {"fullname": "bioimageio.spec._internal.validator_annotations.BeforeValidator.__init__", "modulename": "bioimageio.spec._internal.validator_annotations", "qualname": "BeforeValidator.__init__", "kind": "function", "doc": "

\n", "signature": "(\tfunc: 'core_schema.NoInfoValidatorFunction | core_schema.WithInfoValidatorFunction')"}, "bioimageio.spec._internal.validator_annotations.Predicate": {"fullname": "bioimageio.spec._internal.validator_annotations.Predicate", "modulename": "bioimageio.spec._internal.validator_annotations", "qualname": "Predicate", "kind": "class", "doc": "

\n", "bases": "annotated_types.Predicate"}, "bioimageio.spec._internal.validator_annotations.Predicate.__init__": {"fullname": "bioimageio.spec._internal.validator_annotations.Predicate.__init__", "modulename": "bioimageio.spec._internal.validator_annotations", "qualname": "Predicate.__init__", "kind": "function", "doc": "

\n", "signature": "(func: Callable[[Any], bool])"}, "bioimageio.spec._internal.validator_annotations.RestrictCharacters": {"fullname": "bioimageio.spec._internal.validator_annotations.RestrictCharacters", "modulename": "bioimageio.spec._internal.validator_annotations", "qualname": "RestrictCharacters", "kind": "class", "doc": "

\n"}, "bioimageio.spec._internal.validator_annotations.RestrictCharacters.__init__": {"fullname": "bioimageio.spec._internal.validator_annotations.RestrictCharacters.__init__", "modulename": "bioimageio.spec._internal.validator_annotations", "qualname": "RestrictCharacters.__init__", "kind": "function", "doc": "

\n", "signature": "(alphabet: str)"}, "bioimageio.spec._internal.validator_annotations.RestrictCharacters.alphabet": {"fullname": "bioimageio.spec._internal.validator_annotations.RestrictCharacters.alphabet", "modulename": "bioimageio.spec._internal.validator_annotations", "qualname": "RestrictCharacters.alphabet", "kind": "variable", "doc": "

\n", "annotation": ": str"}, "bioimageio.spec._internal.validator_annotations.RestrictCharacters.validate": {"fullname": "bioimageio.spec._internal.validator_annotations.RestrictCharacters.validate", "modulename": "bioimageio.spec._internal.validator_annotations", "qualname": "RestrictCharacters.validate", "kind": "function", "doc": "

\n", "signature": "(self, value: str) -> str:", "funcdef": "def"}, "bioimageio.spec._internal.version_type": {"fullname": "bioimageio.spec._internal.version_type", "modulename": "bioimageio.spec._internal.version_type", "kind": "module", "doc": "

\n"}, "bioimageio.spec._internal.version_type.Version": {"fullname": "bioimageio.spec._internal.version_type.Version", "modulename": "bioimageio.spec._internal.version_type", "qualname": "Version", "kind": "class", "doc": "

wraps a packaging.version.Version instance for validation in pydantic models

\n", "bases": "pydantic.main.BaseModel, typing.Generic[~RootModelRootType]"}, "bioimageio.spec._internal.version_type.Version.epoch": {"fullname": "bioimageio.spec._internal.version_type.Version.epoch", "modulename": "bioimageio.spec._internal.version_type", "qualname": "Version.epoch", "kind": "variable", "doc": "

The epoch of the version.

\n\n
\n
>>> Version("2.0.0").epoch\n0\n>>> Version("1!2.0.0").epoch\n1\n
\n
\n", "annotation": ": int"}, "bioimageio.spec._internal.version_type.Version.release": {"fullname": "bioimageio.spec._internal.version_type.Version.release", "modulename": "bioimageio.spec._internal.version_type", "qualname": "Version.release", "kind": "variable", "doc": "

The components of the \"release\" segment of the version.

\n\n
\n
>>> Version("1.2.3").release\n(1, 2, 3)\n>>> Version("2.0.0").release\n(2, 0, 0)\n>>> Version("1!2.0.0.post0").release\n(2, 0, 0)\n
\n
\n\n

Includes trailing zeroes but not the epoch or any pre-release / development /\npost-release suffixes.

\n", "annotation": ": Tuple[int, ...]"}, "bioimageio.spec._internal.version_type.Version.pre": {"fullname": "bioimageio.spec._internal.version_type.Version.pre", "modulename": "bioimageio.spec._internal.version_type", "qualname": "Version.pre", "kind": "variable", "doc": "

The pre-release segment of the version.

\n\n
\n
>>> print(Version("1.2.3").pre)\nNone\n>>> Version("1.2.3a1").pre\n('a', 1)\n>>> Version("1.2.3b1").pre\n('b', 1)\n>>> Version("1.2.3rc1").pre\n('rc', 1)\n
\n
\n", "annotation": ": Optional[Tuple[str, int]]"}, "bioimageio.spec._internal.version_type.Version.post": {"fullname": "bioimageio.spec._internal.version_type.Version.post", "modulename": "bioimageio.spec._internal.version_type", "qualname": "Version.post", "kind": "variable", "doc": "

The post-release number of the version.

\n\n
\n
>>> print(Version("1.2.3").post)\nNone\n>>> Version("1.2.3.post1").post\n1\n
\n
\n", "annotation": ": Optional[int]"}, "bioimageio.spec._internal.version_type.Version.dev": {"fullname": "bioimageio.spec._internal.version_type.Version.dev", "modulename": "bioimageio.spec._internal.version_type", "qualname": "Version.dev", "kind": "variable", "doc": "

The development number of the version.

\n\n
\n
>>> print(Version("1.2.3").dev)\nNone\n>>> Version("1.2.3.dev1").dev\n1\n
\n
\n", "annotation": ": Optional[int]"}, "bioimageio.spec._internal.version_type.Version.local": {"fullname": "bioimageio.spec._internal.version_type.Version.local", "modulename": "bioimageio.spec._internal.version_type", "qualname": "Version.local", "kind": "variable", "doc": "

The local version segment of the version.

\n\n
\n
>>> print(Version("1.2.3").local)\nNone\n>>> Version("1.2.3+abc").local\n'abc'\n
\n
\n", "annotation": ": Optional[str]"}, "bioimageio.spec._internal.version_type.Version.public": {"fullname": "bioimageio.spec._internal.version_type.Version.public", "modulename": "bioimageio.spec._internal.version_type", "qualname": "Version.public", "kind": "variable", "doc": "

The public portion of the version.

\n\n
\n
>>> Version("1.2.3").public\n'1.2.3'\n>>> Version("1.2.3+abc").public\n'1.2.3'\n>>> Version("1.2.3+abc.dev1").public\n'1.2.3'\n
\n
\n", "annotation": ": str"}, "bioimageio.spec._internal.version_type.Version.base_version": {"fullname": "bioimageio.spec._internal.version_type.Version.base_version", "modulename": "bioimageio.spec._internal.version_type", "qualname": "Version.base_version", "kind": "variable", "doc": "

The \"base version\" of the version.

\n\n
\n
>>> Version("1.2.3").base_version\n'1.2.3'\n>>> Version("1.2.3+abc").base_version\n'1.2.3'\n>>> Version("1!1.2.3+abc.dev1").base_version\n'1!1.2.3'\n
\n
\n\n

The \"base version\" is the public version of the project without any pre or post\nrelease markers.

\n", "annotation": ": str"}, "bioimageio.spec._internal.version_type.Version.is_prerelease": {"fullname": "bioimageio.spec._internal.version_type.Version.is_prerelease", "modulename": "bioimageio.spec._internal.version_type", "qualname": "Version.is_prerelease", "kind": "variable", "doc": "

Whether this version is a pre-release.

\n\n
\n
>>> Version("1.2.3").is_prerelease\nFalse\n>>> Version("1.2.3a1").is_prerelease\nTrue\n>>> Version("1.2.3b1").is_prerelease\nTrue\n>>> Version("1.2.3rc1").is_prerelease\nTrue\n>>> Version("1.2.3dev1").is_prerelease\nTrue\n
\n
\n", "annotation": ": bool"}, "bioimageio.spec._internal.version_type.Version.is_postrelease": {"fullname": "bioimageio.spec._internal.version_type.Version.is_postrelease", "modulename": "bioimageio.spec._internal.version_type", "qualname": "Version.is_postrelease", "kind": "variable", "doc": "

Whether this version is a post-release.

\n\n
\n
>>> Version("1.2.3").is_postrelease\nFalse\n>>> Version("1.2.3.post1").is_postrelease\nTrue\n
\n
\n", "annotation": ": bool"}, "bioimageio.spec._internal.version_type.Version.is_devrelease": {"fullname": "bioimageio.spec._internal.version_type.Version.is_devrelease", "modulename": "bioimageio.spec._internal.version_type", "qualname": "Version.is_devrelease", "kind": "variable", "doc": "

Whether this version is a development release.

\n\n
\n
>>> Version("1.2.3").is_devrelease\nFalse\n>>> Version("1.2.3.dev1").is_devrelease\nTrue\n
\n
\n", "annotation": ": bool"}, "bioimageio.spec._internal.version_type.Version.major": {"fullname": "bioimageio.spec._internal.version_type.Version.major", "modulename": "bioimageio.spec._internal.version_type", "qualname": "Version.major", "kind": "variable", "doc": "

The first item of release or 0 if unavailable.

\n\n
\n
>>> Version("1.2.3").major\n1\n
\n
\n", "annotation": ": int"}, "bioimageio.spec._internal.version_type.Version.minor": {"fullname": "bioimageio.spec._internal.version_type.Version.minor", "modulename": "bioimageio.spec._internal.version_type", "qualname": "Version.minor", "kind": "variable", "doc": "

The second item of release or 0 if unavailable.

\n\n
\n
>>> Version("1.2.3").minor\n2\n>>> Version("1").minor\n0\n
\n
\n", "annotation": ": int"}, "bioimageio.spec._internal.version_type.Version.micro": {"fullname": "bioimageio.spec._internal.version_type.Version.micro", "modulename": "bioimageio.spec._internal.version_type", "qualname": "Version.micro", "kind": "variable", "doc": "

The third item of release or 0 if unavailable.

\n\n
\n
>>> Version("1.2.3").micro\n3\n>>> Version("1").micro\n0\n
\n
\n", "annotation": ": int"}, "bioimageio.spec._internal.warning_levels": {"fullname": "bioimageio.spec._internal.warning_levels", "modulename": "bioimageio.spec._internal.warning_levels", "kind": "module", "doc": "

\n"}, "bioimageio.spec._internal.warning_levels.WarningSeverity": {"fullname": "bioimageio.spec._internal.warning_levels.WarningSeverity", "modulename": "bioimageio.spec._internal.warning_levels", "qualname": "WarningSeverity", "kind": "variable", "doc": "

\n", "default_value": "typing.Literal[20, 30, 35]"}, "bioimageio.spec._internal.warning_levels.WarningLevel": {"fullname": "bioimageio.spec._internal.warning_levels.WarningLevel", "modulename": "bioimageio.spec._internal.warning_levels", "qualname": "WarningLevel", "kind": "variable", "doc": "

With warning level x validation warnings of severity >=x are raised.\nHighest warning level 50/error does not raise any validaiton warnings (only validation errors).

\n", "default_value": "typing.Literal[20, 30, 35, 50]"}, "bioimageio.spec.application": {"fullname": "bioimageio.spec.application", "modulename": "bioimageio.spec.application", "kind": "module", "doc": "

implementaions of all released minor versions are available in submodules:

\n\n\n"}, "bioimageio.spec.application.AnyApplicationDescr": {"fullname": "bioimageio.spec.application.AnyApplicationDescr", "modulename": "bioimageio.spec.application", "qualname": "AnyApplicationDescr", "kind": "variable", "doc": "

Union of any released application desription

\n", "default_value": "typing.Annotated[typing.Union[bioimageio.spec.application.v0_2.ApplicationDescr, bioimageio.spec.application.v0_3.ApplicationDescr], Discriminator(discriminator='format_version', custom_error_type=None, custom_error_message=None, custom_error_context=None)]"}, "bioimageio.spec.application.v0_2": {"fullname": "bioimageio.spec.application.v0_2", "modulename": "bioimageio.spec.application.v0_2", "kind": "module", "doc": "

\n"}, "bioimageio.spec.application.v0_2.ApplicationDescr": {"fullname": "bioimageio.spec.application.v0_2.ApplicationDescr", "modulename": "bioimageio.spec.application.v0_2", "qualname": "ApplicationDescr", "kind": "class", "doc": "

Bioimage.io description of an application.

\n", "bases": "bioimageio.spec.generic.v0_2.GenericDescrBase"}, "bioimageio.spec.application.v0_2.ApplicationDescr.type": {"fullname": "bioimageio.spec.application.v0_2.ApplicationDescr.type", "modulename": "bioimageio.spec.application.v0_2", "qualname": "ApplicationDescr.type", "kind": "variable", "doc": "

\n", "annotation": ": Literal['application']"}, "bioimageio.spec.application.v0_2.ApplicationDescr.id": {"fullname": "bioimageio.spec.application.v0_2.ApplicationDescr.id", "modulename": "bioimageio.spec.application.v0_2", "qualname": "ApplicationDescr.id", "kind": "variable", "doc": "

Model zoo (bioimage.io) wide, unique identifier (assigned by bioimage.io)

\n", "annotation": ": Optional[bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]]]"}, "bioimageio.spec.application.v0_2.ApplicationDescr.source": {"fullname": "bioimageio.spec.application.v0_2.ApplicationDescr.source", "modulename": "bioimageio.spec.application.v0_2", "qualname": "ApplicationDescr.source", "kind": "variable", "doc": "

The primary source of the application

\n", "annotation": ": Annotated[Optional[Annotated[Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator(func=<function wo_special_file_name at 0x7f4541d10680>), PlainSerializer(func=<function _package at 0x7f4541d118a0>, return_type=PydanticUndefined, when_used='unless-none')]], FieldInfo(annotation=NoneType, required=True, description='URL or path to the source of the application')]"}, "bioimageio.spec.application.v0_2.ApplicationDescr.implemented_format_version": {"fullname": "bioimageio.spec.application.v0_2.ApplicationDescr.implemented_format_version", "modulename": "bioimageio.spec.application.v0_2", "qualname": "ApplicationDescr.implemented_format_version", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[str]", "default_value": "'0.2.4'"}, "bioimageio.spec.application.v0_2.ApplicationDescr.implemented_format_version_tuple": {"fullname": "bioimageio.spec.application.v0_2.ApplicationDescr.implemented_format_version_tuple", "modulename": "bioimageio.spec.application.v0_2", "qualname": "ApplicationDescr.implemented_format_version_tuple", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[Tuple[int, int, int]]", "default_value": "(0, 2, 4)"}, "bioimageio.spec.application.v0_2.ApplicationDescr.model_config": {"fullname": "bioimageio.spec.application.v0_2.ApplicationDescr.model_config", "modulename": "bioimageio.spec.application.v0_2", "qualname": "ApplicationDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True, 'title': 'bioimage.io application specification'}"}, "bioimageio.spec.application.v0_2.ApplicationDescr.model_fields": {"fullname": "bioimageio.spec.application.v0_2.ApplicationDescr.model_fields", "modulename": "bioimageio.spec.application.v0_2", "qualname": "ApplicationDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'name': FieldInfo(annotation=str, required=True, metadata=[MinLen(min_length=1), AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=30, msg='Longer than 128 characters.', context={'typ': typing.Annotated[typing.Any, MaxLen(max_length=128)]})]), 'description': FieldInfo(annotation=str, required=True), 'covers': FieldInfo(annotation=List[Annotated[Union[HttpUrl, Annotated[Path, PathType, Predicate], RelativeFilePath], WithSuffix, PlainSerializer]], required=False, default_factory=list, description="Cover images. Please use an image smaller than 500KB and an aspect ratio width to height of 2:1.\\nThe supported image formats are: ('.gif', '.jpeg', '.jpg', '.png', '.svg')", examples=['cover.png']), 'id_emoji': FieldInfo(annotation=Union[Annotated[str, Len], NoneType], required=False), 'authors': FieldInfo(annotation=List[Author], required=False, default_factory=list), 'attachments': FieldInfo(annotation=Union[AttachmentsDescr, NoneType], required=False), 'cite': FieldInfo(annotation=List[CiteEntry], required=False, default_factory=list), 'config': FieldInfo(annotation=Dict[str, YamlValue], required=False, default_factory=dict, examples=[{'bioimageio': {'my_custom_key': 3837283, 'another_key': {'nested': 'value'}}, 'imagej': {'macro_dir': 'path/to/macro/file'}}]), 'download_url': FieldInfo(annotation=Union[HttpUrl, NoneType], required=False), 'git_repo': FieldInfo(annotation=Union[str, NoneType], required=False, examples=['https://github.com/bioimage-io/spec-bioimage-io/tree/main/example_descriptions/models/unet2d_nuclei_broad']), 'icon': FieldInfo(annotation=Union[Annotated[Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator, PlainSerializer], Annotated[str, Len], NoneType], required=False), 'links': FieldInfo(annotation=List[str], required=False, default_factory=list, examples=[('ilastik/ilastik', 'deepimagej/deepimagej', 'zero/notebook_u-net_3d_zerocostdl4mic')]), 'uploader': FieldInfo(annotation=Union[Uploader, NoneType], required=False), 'maintainers': FieldInfo(annotation=List[Maintainer], required=False, default_factory=list), 'rdf_source': FieldInfo(annotation=Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)], NoneType], required=False), 'tags': FieldInfo(annotation=List[str], required=False, default_factory=list, examples=[('unet2d', 'pytorch', 'nucleus', 'segmentation', 'dsb2018')]), 'version': FieldInfo(annotation=Union[Version, NoneType], required=False), 'version_number': FieldInfo(annotation=Union[int, NoneType], required=False), 'format_version': FieldInfo(annotation=Literal['0.2.4'], required=False, default='0.2.4'), 'badges': FieldInfo(annotation=List[BadgeDescr], required=False, default_factory=list), 'documentation': FieldInfo(annotation=Union[Annotated[Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator, PlainSerializer], NoneType], required=False, examples=['https://raw.githubusercontent.com/bioimage-io/spec-bioimage-io/main/example_descriptions/models/unet2d_nuclei_broad/README.md', 'README.md']), 'license': FieldInfo(annotation=Union[LicenseId, DeprecatedLicenseId, str, NoneType], required=False, examples=['CC-BY-4.0', 'MIT', 'BSD-2-Clause']), 'type': FieldInfo(annotation=Literal['application'], required=False, default='application'), 'id': FieldInfo(annotation=Union[ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]], NoneType], required=False), 'source': FieldInfo(annotation=Union[Annotated[Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator, PlainSerializer], NoneType], required=False, description='URL or path to the source of the application')}"}, "bioimageio.spec.application.v0_2.ApplicationDescr.model_computed_fields": {"fullname": "bioimageio.spec.application.v0_2.ApplicationDescr.model_computed_fields", "modulename": "bioimageio.spec.application.v0_2", "qualname": "ApplicationDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.application.v0_2.LinkedApplication": {"fullname": "bioimageio.spec.application.v0_2.LinkedApplication", "modulename": "bioimageio.spec.application.v0_2", "qualname": "LinkedApplication", "kind": "class", "doc": "

Reference to a bioimage.io application.

\n", "bases": "bioimageio.spec._internal.node.Node"}, "bioimageio.spec.application.v0_2.LinkedApplication.id": {"fullname": "bioimageio.spec.application.v0_2.LinkedApplication.id", "modulename": "bioimageio.spec.application.v0_2", "qualname": "LinkedApplication.id", "kind": "variable", "doc": "

A valid application id from the bioimage.io collection.

\n", "annotation": ": bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]]"}, "bioimageio.spec.application.v0_2.LinkedApplication.version_number": {"fullname": "bioimageio.spec.application.v0_2.LinkedApplication.version_number", "modulename": "bioimageio.spec.application.v0_2", "qualname": "LinkedApplication.version_number", "kind": "variable", "doc": "

version number (n-th published version, not the semantic version) of linked application

\n", "annotation": ": Optional[int]"}, "bioimageio.spec.application.v0_2.LinkedApplication.model_config": {"fullname": "bioimageio.spec.application.v0_2.LinkedApplication.model_config", "modulename": "bioimageio.spec.application.v0_2", "qualname": "LinkedApplication.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.application.v0_2.LinkedApplication.model_fields": {"fullname": "bioimageio.spec.application.v0_2.LinkedApplication.model_fields", "modulename": "bioimageio.spec.application.v0_2", "qualname": "LinkedApplication.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'id': FieldInfo(annotation=ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]], required=True), 'version_number': FieldInfo(annotation=Union[int, NoneType], required=False)}"}, "bioimageio.spec.application.v0_2.LinkedApplication.model_computed_fields": {"fullname": "bioimageio.spec.application.v0_2.LinkedApplication.model_computed_fields", "modulename": "bioimageio.spec.application.v0_2", "qualname": "LinkedApplication.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.application.v0_3": {"fullname": "bioimageio.spec.application.v0_3", "modulename": "bioimageio.spec.application.v0_3", "kind": "module", "doc": "

\n"}, "bioimageio.spec.application.v0_3.ApplicationDescr": {"fullname": "bioimageio.spec.application.v0_3.ApplicationDescr", "modulename": "bioimageio.spec.application.v0_3", "qualname": "ApplicationDescr", "kind": "class", "doc": "

Bioimage.io description of an application.

\n", "bases": "bioimageio.spec.generic.v0_3.GenericDescrBase"}, "bioimageio.spec.application.v0_3.ApplicationDescr.type": {"fullname": "bioimageio.spec.application.v0_3.ApplicationDescr.type", "modulename": "bioimageio.spec.application.v0_3", "qualname": "ApplicationDescr.type", "kind": "variable", "doc": "

\n", "annotation": ": Literal['application']"}, "bioimageio.spec.application.v0_3.ApplicationDescr.id": {"fullname": "bioimageio.spec.application.v0_3.ApplicationDescr.id", "modulename": "bioimageio.spec.application.v0_3", "qualname": "ApplicationDescr.id", "kind": "variable", "doc": "

Model zoo (bioimage.io) wide, unique identifier (assigned by bioimage.io)

\n", "annotation": ": Optional[bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]]]"}, "bioimageio.spec.application.v0_3.ApplicationDescr.parent": {"fullname": "bioimageio.spec.application.v0_3.ApplicationDescr.parent", "modulename": "bioimageio.spec.application.v0_3", "qualname": "ApplicationDescr.parent", "kind": "variable", "doc": "

The description from which this one is derived

\n", "annotation": ": Optional[bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]]]"}, "bioimageio.spec.application.v0_3.ApplicationDescr.source": {"fullname": "bioimageio.spec.application.v0_3.ApplicationDescr.source", "modulename": "bioimageio.spec.application.v0_3", "qualname": "ApplicationDescr.source", "kind": "variable", "doc": "

The primary source of the application

\n", "annotation": ": Annotated[Optional[Annotated[Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator(func=<function wo_special_file_name at 0x7f4541d10680>), PlainSerializer(func=<function _package at 0x7f4541d118a0>, return_type=PydanticUndefined, when_used='unless-none')]], FieldInfo(annotation=NoneType, required=True, description='URL or path to the source of the application')]"}, "bioimageio.spec.application.v0_3.ApplicationDescr.implemented_format_version": {"fullname": "bioimageio.spec.application.v0_3.ApplicationDescr.implemented_format_version", "modulename": "bioimageio.spec.application.v0_3", "qualname": "ApplicationDescr.implemented_format_version", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[str]", "default_value": "'0.3.0'"}, "bioimageio.spec.application.v0_3.ApplicationDescr.implemented_format_version_tuple": {"fullname": "bioimageio.spec.application.v0_3.ApplicationDescr.implemented_format_version_tuple", "modulename": "bioimageio.spec.application.v0_3", "qualname": "ApplicationDescr.implemented_format_version_tuple", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[Tuple[int, int, int]]", "default_value": "(0, 3, 0)"}, "bioimageio.spec.application.v0_3.ApplicationDescr.model_config": {"fullname": "bioimageio.spec.application.v0_3.ApplicationDescr.model_config", "modulename": "bioimageio.spec.application.v0_3", "qualname": "ApplicationDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True, 'title': 'bioimage.io application specification'}"}, "bioimageio.spec.application.v0_3.ApplicationDescr.model_fields": {"fullname": "bioimageio.spec.application.v0_3.ApplicationDescr.model_fields", "modulename": "bioimageio.spec.application.v0_3", "qualname": "ApplicationDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'name': FieldInfo(annotation=str, required=True, metadata=[MinLen(min_length=1), MaxLen(max_length=128)]), 'description': FieldInfo(annotation=str, required=True, metadata=[MaxLen(max_length=1024), AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=30, msg='Description longer than 512 characters.', context={'typ': typing.Annotated[typing.Any, MaxLen(max_length=512)]})]), 'covers': FieldInfo(annotation=List[Annotated[Union[HttpUrl, Annotated[Path, PathType, Predicate], RelativeFilePath], WithSuffix, PlainSerializer]], required=False, default_factory=list, description="Cover images. Please use an image smaller than 500KB and an aspect ratio width to height of 2:1 or 1:1.\\nThe supported image formats are: ('.gif', '.jpeg', '.jpg', '.png', '.svg')", examples=[]), 'id_emoji': FieldInfo(annotation=Union[Annotated[str, Len], NoneType], required=False), 'authors': FieldInfo(annotation=List[Author], required=True, metadata=[MinLen(min_length=1)]), 'attachments': FieldInfo(annotation=List[FileDescr], required=False, default_factory=list), 'cite': FieldInfo(annotation=List[CiteEntry], required=True, metadata=[MinLen(min_length=1)]), 'license': FieldInfo(annotation=Union[LicenseId, DeprecatedLicenseId], required=True, examples=['CC-BY-4.0', 'MIT', 'BSD-2-Clause'], metadata=[AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=30, msg='{value} is deprecated, see https://spdx.org/licenses/{value}.html', context={'typ': <class 'bioimageio.spec._internal.license_id.LicenseId'>})]), 'config': FieldInfo(annotation=Dict[str, YamlValue], required=False, default_factory=dict, examples=[{'bioimageio': {'my_custom_key': 3837283, 'another_key': {'nested': 'value'}}, 'imagej': {'macro_dir': 'path/to/macro/file'}}]), 'git_repo': FieldInfo(annotation=Union[HttpUrl, NoneType], required=False, examples=['https://github.com/bioimage-io/spec-bioimage-io/tree/main/example_descriptions/models/unet2d_nuclei_broad']), 'icon': FieldInfo(annotation=Union[Annotated[Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator, PlainSerializer], Annotated[str, Len], NoneType], required=False), 'links': FieldInfo(annotation=List[str], required=False, default_factory=list, examples=[('ilastik/ilastik', 'deepimagej/deepimagej', 'zero/notebook_u-net_3d_zerocostdl4mic')]), 'uploader': FieldInfo(annotation=Union[Uploader, NoneType], required=False), 'maintainers': FieldInfo(annotation=List[Maintainer], required=False, default_factory=list), 'tags': FieldInfo(annotation=List[str], required=False, default_factory=list, examples=[('unet2d', 'pytorch', 'nucleus', 'segmentation', 'dsb2018')]), 'version': FieldInfo(annotation=Union[Version, NoneType], required=False), 'version_number': FieldInfo(annotation=Union[int, NoneType], required=False), 'format_version': FieldInfo(annotation=Literal['0.3.0'], required=False, default='0.3.0'), 'documentation': FieldInfo(annotation=Union[Annotated[Union[Annotated[Path, PathType, Predicate], RelativeFilePath, HttpUrl], AfterValidator, PlainSerializer], NoneType], required=False, examples=['https://raw.githubusercontent.com/bioimage-io/spec-bioimage-io/main/example_descriptions/models/unet2d_nuclei_broad/README.md', 'README.md']), 'badges': FieldInfo(annotation=List[BadgeDescr], required=False, default_factory=list), 'type': FieldInfo(annotation=Literal['application'], required=False, default='application'), 'id': FieldInfo(annotation=Union[ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]], NoneType], required=False), 'parent': FieldInfo(annotation=Union[ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]], NoneType], required=False), 'source': FieldInfo(annotation=Union[Annotated[Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator, PlainSerializer], NoneType], required=False, description='URL or path to the source of the application')}"}, "bioimageio.spec.application.v0_3.ApplicationDescr.model_computed_fields": {"fullname": "bioimageio.spec.application.v0_3.ApplicationDescr.model_computed_fields", "modulename": "bioimageio.spec.application.v0_3", "qualname": "ApplicationDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.application.v0_3.LinkedApplication": {"fullname": "bioimageio.spec.application.v0_3.LinkedApplication", "modulename": "bioimageio.spec.application.v0_3", "qualname": "LinkedApplication", "kind": "class", "doc": "

Reference to a bioimage.io application.

\n", "bases": "bioimageio.spec._internal.node.Node"}, "bioimageio.spec.application.v0_3.LinkedApplication.id": {"fullname": "bioimageio.spec.application.v0_3.LinkedApplication.id", "modulename": "bioimageio.spec.application.v0_3", "qualname": "LinkedApplication.id", "kind": "variable", "doc": "

A valid application id from the bioimage.io collection.

\n", "annotation": ": bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]]"}, "bioimageio.spec.application.v0_3.LinkedApplication.version_number": {"fullname": "bioimageio.spec.application.v0_3.LinkedApplication.version_number", "modulename": "bioimageio.spec.application.v0_3", "qualname": "LinkedApplication.version_number", "kind": "variable", "doc": "

version number (n-th published version, not the semantic version) of linked application

\n", "annotation": ": int"}, "bioimageio.spec.application.v0_3.LinkedApplication.model_config": {"fullname": "bioimageio.spec.application.v0_3.LinkedApplication.model_config", "modulename": "bioimageio.spec.application.v0_3", "qualname": "LinkedApplication.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.application.v0_3.LinkedApplication.model_fields": {"fullname": "bioimageio.spec.application.v0_3.LinkedApplication.model_fields", "modulename": "bioimageio.spec.application.v0_3", "qualname": "LinkedApplication.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'id': FieldInfo(annotation=ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]], required=True), 'version_number': FieldInfo(annotation=int, required=True)}"}, "bioimageio.spec.application.v0_3.LinkedApplication.model_computed_fields": {"fullname": "bioimageio.spec.application.v0_3.LinkedApplication.model_computed_fields", "modulename": "bioimageio.spec.application.v0_3", "qualname": "LinkedApplication.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.collection": {"fullname": "bioimageio.spec.collection", "modulename": "bioimageio.spec.collection", "kind": "module", "doc": "

implementaions of all released minor versions are available in submodules:

\n\n\n"}, "bioimageio.spec.collection.AnyCollectionDescr": {"fullname": "bioimageio.spec.collection.AnyCollectionDescr", "modulename": "bioimageio.spec.collection", "qualname": "AnyCollectionDescr", "kind": "variable", "doc": "

Union of any released collection desription

\n", "default_value": "typing.Annotated[typing.Union[bioimageio.spec.collection.v0_2.CollectionDescr, bioimageio.spec.collection.v0_3.CollectionDescr], Discriminator(discriminator='format_version', custom_error_type=None, custom_error_message=None, custom_error_context=None)]"}, "bioimageio.spec.collection.v0_2": {"fullname": "bioimageio.spec.collection.v0_2", "modulename": "bioimageio.spec.collection.v0_2", "kind": "module", "doc": "

\n"}, "bioimageio.spec.collection.v0_2.EntryDescr": {"fullname": "bioimageio.spec.collection.v0_2.EntryDescr", "modulename": "bioimageio.spec.collection.v0_2", "qualname": "EntryDescr", "kind": "variable", "doc": "

\n", "default_value": "typing.Union[bioimageio.spec.application.v0_2.ApplicationDescr, bioimageio.spec.dataset.v0_2.DatasetDescr, bioimageio.spec.generic.v0_2.GenericDescr, bioimageio.spec.model.v0_4.ModelDescr, bioimageio.spec.notebook.v0_2.NotebookDescr]"}, "bioimageio.spec.collection.v0_2.CollectionEntry": {"fullname": "bioimageio.spec.collection.v0_2.CollectionEntry", "modulename": "bioimageio.spec.collection.v0_2", "qualname": "CollectionEntry", "kind": "class", "doc": "

A valid resource description (RD).\nThe entry RD is based on the collection description itself.\nFields are added/overwritten by the content of rdf_source if rdf_source is specified,\nand finally added/overwritten by any fields specified directly in the entry.\nExcept for the id field, fields are overwritten entirely, their content is not merged!\nThe final id for each collection entry is composed of the collection's id\nand the entry's 'sub-'id, specified remotely as part of rdf_source or superseeded in-place,\nsuch that the final_entry_id = <collection_id>/<entry_id>

\n", "bases": "bioimageio.spec._internal.node.Node"}, "bioimageio.spec.collection.v0_2.CollectionEntry.rdf_source": {"fullname": "bioimageio.spec.collection.v0_2.CollectionEntry.rdf_source", "modulename": "bioimageio.spec.collection.v0_2", "qualname": "CollectionEntry.rdf_source", "kind": "variable", "doc": "

resource description file (RDF) source to load entry from

\n", "annotation": ": Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)], NoneType]"}, "bioimageio.spec.collection.v0_2.CollectionEntry.id": {"fullname": "bioimageio.spec.collection.v0_2.CollectionEntry.id", "modulename": "bioimageio.spec.collection.v0_2", "qualname": "CollectionEntry.id", "kind": "variable", "doc": "

Collection entry sub id overwriting rdf_source.id.\nThe full collection entry's id is the collection's base id, followed by this sub id and separated by a slash '/'.

\n", "annotation": ": Optional[bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]]]"}, "bioimageio.spec.collection.v0_2.CollectionEntry.rdf_update": {"fullname": "bioimageio.spec.collection.v0_2.CollectionEntry.rdf_update", "modulename": "bioimageio.spec.collection.v0_2", "qualname": "CollectionEntry.rdf_update", "kind": "variable", "doc": "

\n", "annotation": ": Dict[str, YamlValue]"}, "bioimageio.spec.collection.v0_2.CollectionEntry.descr": {"fullname": "bioimageio.spec.collection.v0_2.CollectionEntry.descr", "modulename": "bioimageio.spec.collection.v0_2", "qualname": "CollectionEntry.descr", "kind": "variable", "doc": "

\n", "annotation": ": Union[bioimageio.spec.application.v0_2.ApplicationDescr, bioimageio.spec.dataset.v0_2.DatasetDescr, bioimageio.spec.generic.v0_2.GenericDescr, bioimageio.spec.model.v0_4.ModelDescr, bioimageio.spec.notebook.v0_2.NotebookDescr, NoneType]"}, "bioimageio.spec.collection.v0_2.CollectionEntry.model_config": {"fullname": "bioimageio.spec.collection.v0_2.CollectionEntry.model_config", "modulename": "bioimageio.spec.collection.v0_2", "qualname": "CollectionEntry.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'allow', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.collection.v0_2.CollectionEntry.model_post_init": {"fullname": "bioimageio.spec.collection.v0_2.CollectionEntry.model_post_init", "modulename": "bioimageio.spec.collection.v0_2", "qualname": "CollectionEntry.model_post_init", "kind": "function", "doc": "

This function is meant to behave like a BaseModel method to initialise private attributes.

\n\n

It takes context as an argument since that's what pydantic-core passes when calling it.

\n\n

Args:\n self: The BaseModel instance.\n __context: The context.

\n", "signature": "(self: pydantic.main.BaseModel, __context: Any) -> None:", "funcdef": "def"}, "bioimageio.spec.collection.v0_2.CollectionEntry.model_fields": {"fullname": "bioimageio.spec.collection.v0_2.CollectionEntry.model_fields", "modulename": "bioimageio.spec.collection.v0_2", "qualname": "CollectionEntry.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'rdf_source': FieldInfo(annotation=Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)], NoneType], required=False), 'id': FieldInfo(annotation=Union[ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]], NoneType], required=False)}"}, "bioimageio.spec.collection.v0_2.CollectionEntry.model_computed_fields": {"fullname": "bioimageio.spec.collection.v0_2.CollectionEntry.model_computed_fields", "modulename": "bioimageio.spec.collection.v0_2", "qualname": "CollectionEntry.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.collection.v0_2.CollectionDescr": {"fullname": "bioimageio.spec.collection.v0_2.CollectionDescr", "modulename": "bioimageio.spec.collection.v0_2", "qualname": "CollectionDescr", "kind": "class", "doc": "

A bioimage.io collection describes several other bioimage.io resources.\nNote that collections cannot be nested; resources listed under collection may not be collections themselves.

\n", "bases": "bioimageio.spec.generic.v0_2.GenericDescrBase"}, "bioimageio.spec.collection.v0_2.CollectionDescr.type": {"fullname": "bioimageio.spec.collection.v0_2.CollectionDescr.type", "modulename": "bioimageio.spec.collection.v0_2", "qualname": "CollectionDescr.type", "kind": "variable", "doc": "

\n", "annotation": ": Literal['collection']"}, "bioimageio.spec.collection.v0_2.CollectionDescr.id": {"fullname": "bioimageio.spec.collection.v0_2.CollectionDescr.id", "modulename": "bioimageio.spec.collection.v0_2", "qualname": "CollectionDescr.id", "kind": "variable", "doc": "

Model zoo (bioimage.io) wide, unique identifier (assigned by bioimage.io)

\n", "annotation": ": Optional[bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]]]"}, "bioimageio.spec.collection.v0_2.CollectionDescr.collection": {"fullname": "bioimageio.spec.collection.v0_2.CollectionDescr.collection", "modulename": "bioimageio.spec.collection.v0_2", "qualname": "CollectionDescr.collection", "kind": "variable", "doc": "

Collection entries

\n", "annotation": ": Annotated[List[bioimageio.spec.collection.v0_2.CollectionEntry], MinLen(min_length=1)]"}, "bioimageio.spec.collection.v0_2.CollectionDescr.finalize_entries": {"fullname": "bioimageio.spec.collection.v0_2.CollectionDescr.finalize_entries", "modulename": "bioimageio.spec.collection.v0_2", "qualname": "CollectionDescr.finalize_entries", "kind": "function", "doc": "

\n", "signature": "(self) -> Self:", "funcdef": "def"}, "bioimageio.spec.collection.v0_2.CollectionDescr.move_groups_to_collection_field": {"fullname": "bioimageio.spec.collection.v0_2.CollectionDescr.move_groups_to_collection_field", "modulename": "bioimageio.spec.collection.v0_2", "qualname": "CollectionDescr.move_groups_to_collection_field", "kind": "function", "doc": "

\n", "signature": "(cls, data: Dict[str, YamlValue]) -> Dict[str, YamlValue]:", "funcdef": "def"}, "bioimageio.spec.collection.v0_2.CollectionDescr.implemented_format_version": {"fullname": "bioimageio.spec.collection.v0_2.CollectionDescr.implemented_format_version", "modulename": "bioimageio.spec.collection.v0_2", "qualname": "CollectionDescr.implemented_format_version", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[str]", "default_value": "'0.2.4'"}, "bioimageio.spec.collection.v0_2.CollectionDescr.implemented_format_version_tuple": {"fullname": "bioimageio.spec.collection.v0_2.CollectionDescr.implemented_format_version_tuple", "modulename": "bioimageio.spec.collection.v0_2", "qualname": "CollectionDescr.implemented_format_version_tuple", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[Tuple[int, int, int]]", "default_value": "(0, 2, 4)"}, "bioimageio.spec.collection.v0_2.CollectionDescr.model_config": {"fullname": "bioimageio.spec.collection.v0_2.CollectionDescr.model_config", "modulename": "bioimageio.spec.collection.v0_2", "qualname": "CollectionDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'allow', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True, 'title': 'bioimage.io collection specification'}"}, "bioimageio.spec.collection.v0_2.CollectionDescr.model_fields": {"fullname": "bioimageio.spec.collection.v0_2.CollectionDescr.model_fields", "modulename": "bioimageio.spec.collection.v0_2", "qualname": "CollectionDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'name': FieldInfo(annotation=str, required=True, metadata=[MinLen(min_length=1), AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=30, msg='Longer than 128 characters.', context={'typ': typing.Annotated[typing.Any, MaxLen(max_length=128)]})]), 'description': FieldInfo(annotation=str, required=True), 'covers': FieldInfo(annotation=List[Annotated[Union[HttpUrl, Annotated[Path, PathType, Predicate], RelativeFilePath], WithSuffix, PlainSerializer]], required=False, default_factory=list, description="Cover images. Please use an image smaller than 500KB and an aspect ratio width to height of 2:1.\\nThe supported image formats are: ('.gif', '.jpeg', '.jpg', '.png', '.svg')", examples=['cover.png']), 'id_emoji': FieldInfo(annotation=Union[Annotated[str, Len], NoneType], required=False), 'authors': FieldInfo(annotation=List[Author], required=False, default_factory=list), 'attachments': FieldInfo(annotation=Union[AttachmentsDescr, NoneType], required=False), 'cite': FieldInfo(annotation=List[CiteEntry], required=False, default_factory=list), 'config': FieldInfo(annotation=Dict[str, YamlValue], required=False, default_factory=dict, examples=[{'bioimageio': {'my_custom_key': 3837283, 'another_key': {'nested': 'value'}}, 'imagej': {'macro_dir': 'path/to/macro/file'}}]), 'download_url': FieldInfo(annotation=Union[HttpUrl, NoneType], required=False), 'git_repo': FieldInfo(annotation=Union[str, NoneType], required=False, examples=['https://github.com/bioimage-io/spec-bioimage-io/tree/main/example_descriptions/models/unet2d_nuclei_broad']), 'icon': FieldInfo(annotation=Union[Annotated[Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator, PlainSerializer], Annotated[str, Len], NoneType], required=False), 'links': FieldInfo(annotation=List[str], required=False, default_factory=list, examples=[('ilastik/ilastik', 'deepimagej/deepimagej', 'zero/notebook_u-net_3d_zerocostdl4mic')]), 'uploader': FieldInfo(annotation=Union[Uploader, NoneType], required=False), 'maintainers': FieldInfo(annotation=List[Maintainer], required=False, default_factory=list), 'rdf_source': FieldInfo(annotation=Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)], NoneType], required=False), 'tags': FieldInfo(annotation=List[str], required=False, default_factory=list, examples=[('unet2d', 'pytorch', 'nucleus', 'segmentation', 'dsb2018')]), 'version': FieldInfo(annotation=Union[Version, NoneType], required=False), 'version_number': FieldInfo(annotation=Union[int, NoneType], required=False), 'format_version': FieldInfo(annotation=Literal['0.2.4'], required=False, default='0.2.4'), 'badges': FieldInfo(annotation=List[BadgeDescr], required=False, default_factory=list), 'documentation': FieldInfo(annotation=Union[Annotated[Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator, PlainSerializer], NoneType], required=False, examples=['https://raw.githubusercontent.com/bioimage-io/spec-bioimage-io/main/example_descriptions/models/unet2d_nuclei_broad/README.md', 'README.md']), 'license': FieldInfo(annotation=Union[LicenseId, DeprecatedLicenseId, str, NoneType], required=False, examples=['CC-BY-4.0', 'MIT', 'BSD-2-Clause']), 'type': FieldInfo(annotation=Literal['collection'], required=False, default='collection'), 'id': FieldInfo(annotation=Union[ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]], NoneType], required=False), 'collection': FieldInfo(annotation=List[CollectionEntry], required=True, metadata=[MinLen(min_length=1)])}"}, "bioimageio.spec.collection.v0_2.CollectionDescr.model_computed_fields": {"fullname": "bioimageio.spec.collection.v0_2.CollectionDescr.model_computed_fields", "modulename": "bioimageio.spec.collection.v0_2", "qualname": "CollectionDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.collection.v0_2.LinkedCollection": {"fullname": "bioimageio.spec.collection.v0_2.LinkedCollection", "modulename": "bioimageio.spec.collection.v0_2", "qualname": "LinkedCollection", "kind": "class", "doc": "

Reference to a bioimage.io collection.

\n", "bases": "bioimageio.spec._internal.node.Node"}, "bioimageio.spec.collection.v0_2.LinkedCollection.id": {"fullname": "bioimageio.spec.collection.v0_2.LinkedCollection.id", "modulename": "bioimageio.spec.collection.v0_2", "qualname": "LinkedCollection.id", "kind": "variable", "doc": "

A valid collection id from the bioimage.io collection.

\n", "annotation": ": bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]]"}, "bioimageio.spec.collection.v0_2.LinkedCollection.version_number": {"fullname": "bioimageio.spec.collection.v0_2.LinkedCollection.version_number", "modulename": "bioimageio.spec.collection.v0_2", "qualname": "LinkedCollection.version_number", "kind": "variable", "doc": "

version number (n-th published version, not the semantic version) of linked collection

\n", "annotation": ": Optional[int]"}, "bioimageio.spec.collection.v0_2.LinkedCollection.model_config": {"fullname": "bioimageio.spec.collection.v0_2.LinkedCollection.model_config", "modulename": "bioimageio.spec.collection.v0_2", "qualname": "LinkedCollection.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.collection.v0_2.LinkedCollection.model_fields": {"fullname": "bioimageio.spec.collection.v0_2.LinkedCollection.model_fields", "modulename": "bioimageio.spec.collection.v0_2", "qualname": "LinkedCollection.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'id': FieldInfo(annotation=ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]], required=True), 'version_number': FieldInfo(annotation=Union[int, NoneType], required=False)}"}, "bioimageio.spec.collection.v0_2.LinkedCollection.model_computed_fields": {"fullname": "bioimageio.spec.collection.v0_2.LinkedCollection.model_computed_fields", "modulename": "bioimageio.spec.collection.v0_2", "qualname": "LinkedCollection.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.collection.v0_3": {"fullname": "bioimageio.spec.collection.v0_3", "modulename": "bioimageio.spec.collection.v0_3", "kind": "module", "doc": "

\n"}, "bioimageio.spec.collection.v0_3.EntryDescr": {"fullname": "bioimageio.spec.collection.v0_3.EntryDescr", "modulename": "bioimageio.spec.collection.v0_3", "qualname": "EntryDescr", "kind": "variable", "doc": "

\n", "default_value": "typing.Union[bioimageio.spec.application.v0_2.ApplicationDescr, bioimageio.spec.application.v0_3.ApplicationDescr, bioimageio.spec.dataset.v0_2.DatasetDescr, bioimageio.spec.dataset.v0_3.DatasetDescr, bioimageio.spec.model.v0_4.ModelDescr, bioimageio.spec.model.v0_5.ModelDescr, bioimageio.spec.notebook.v0_2.NotebookDescr, bioimageio.spec.notebook.v0_3.NotebookDescr, bioimageio.spec.generic.v0_2.GenericDescr, bioimageio.spec.generic.v0_3.GenericDescr]"}, "bioimageio.spec.collection.v0_3.CollectionEntry": {"fullname": "bioimageio.spec.collection.v0_3.CollectionEntry", "modulename": "bioimageio.spec.collection.v0_3", "qualname": "CollectionEntry", "kind": "class", "doc": "

A collection entry description is based on the collection description itself.\nFields are added/overwritten by the content of descr_source if descr_source is set,\nand finally added/overwritten by any fields specified directly in the entry.\nExcept for the id field, fields are overwritten entirely, their content is not merged!\nThe final id for each collection entry is composed of the collection's id\nand the entry's 'sub-'id, specified externally in descr_source or superseeded in-place,\nsuch that the final_entry_id = <collection_id>/<entry_id>

\n", "bases": "bioimageio.spec._internal.node.Node"}, "bioimageio.spec.collection.v0_3.CollectionEntry.entry_source": {"fullname": "bioimageio.spec.collection.v0_3.CollectionEntry.entry_source", "modulename": "bioimageio.spec.collection.v0_3", "qualname": "CollectionEntry.entry_source", "kind": "variable", "doc": "

an external source this entry description is based on

\n", "annotation": ": Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)], NoneType]"}, "bioimageio.spec.collection.v0_3.CollectionEntry.id": {"fullname": "bioimageio.spec.collection.v0_3.CollectionEntry.id", "modulename": "bioimageio.spec.collection.v0_3", "qualname": "CollectionEntry.id", "kind": "variable", "doc": "

Collection entry sub id overwriting rdf_source.id.\nThe full collection entry's id is the collection's base id, followed by this sub id and separated by a slash '/'.

\n", "annotation": ": Optional[bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]]]"}, "bioimageio.spec.collection.v0_3.CollectionEntry.entry_update": {"fullname": "bioimageio.spec.collection.v0_3.CollectionEntry.entry_update", "modulename": "bioimageio.spec.collection.v0_3", "qualname": "CollectionEntry.entry_update", "kind": "variable", "doc": "

\n", "annotation": ": Dict[str, YamlValue]"}, "bioimageio.spec.collection.v0_3.CollectionEntry.descr": {"fullname": "bioimageio.spec.collection.v0_3.CollectionEntry.descr", "modulename": "bioimageio.spec.collection.v0_3", "qualname": "CollectionEntry.descr", "kind": "variable", "doc": "

\n", "annotation": ": Union[bioimageio.spec.application.v0_2.ApplicationDescr, bioimageio.spec.application.v0_3.ApplicationDescr, bioimageio.spec.dataset.v0_2.DatasetDescr, bioimageio.spec.dataset.v0_3.DatasetDescr, bioimageio.spec.model.v0_4.ModelDescr, bioimageio.spec.model.v0_5.ModelDescr, bioimageio.spec.notebook.v0_2.NotebookDescr, bioimageio.spec.notebook.v0_3.NotebookDescr, bioimageio.spec.generic.v0_2.GenericDescr, bioimageio.spec.generic.v0_3.GenericDescr, NoneType]"}, "bioimageio.spec.collection.v0_3.CollectionEntry.model_config": {"fullname": "bioimageio.spec.collection.v0_3.CollectionEntry.model_config", "modulename": "bioimageio.spec.collection.v0_3", "qualname": "CollectionEntry.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'allow', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.collection.v0_3.CollectionEntry.model_post_init": {"fullname": "bioimageio.spec.collection.v0_3.CollectionEntry.model_post_init", "modulename": "bioimageio.spec.collection.v0_3", "qualname": "CollectionEntry.model_post_init", "kind": "function", "doc": "

This function is meant to behave like a BaseModel method to initialise private attributes.

\n\n

It takes context as an argument since that's what pydantic-core passes when calling it.

\n\n

Args:\n self: The BaseModel instance.\n __context: The context.

\n", "signature": "(self: pydantic.main.BaseModel, __context: Any) -> None:", "funcdef": "def"}, "bioimageio.spec.collection.v0_3.CollectionEntry.model_fields": {"fullname": "bioimageio.spec.collection.v0_3.CollectionEntry.model_fields", "modulename": "bioimageio.spec.collection.v0_3", "qualname": "CollectionEntry.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'entry_source': FieldInfo(annotation=Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)], NoneType], required=False), 'id': FieldInfo(annotation=Union[ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]], NoneType], required=False)}"}, "bioimageio.spec.collection.v0_3.CollectionEntry.model_computed_fields": {"fullname": "bioimageio.spec.collection.v0_3.CollectionEntry.model_computed_fields", "modulename": "bioimageio.spec.collection.v0_3", "qualname": "CollectionEntry.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.collection.v0_3.CollectionDescr": {"fullname": "bioimageio.spec.collection.v0_3.CollectionDescr", "modulename": "bioimageio.spec.collection.v0_3", "qualname": "CollectionDescr", "kind": "class", "doc": "

A bioimage.io collection resource description file (collection RDF) describes a collection of bioimage.io\nresources.\nThe resources listed in a collection RDF have types other than 'collection'; collections cannot be nested.

\n", "bases": "bioimageio.spec.generic.v0_3.GenericDescrBase"}, "bioimageio.spec.collection.v0_3.CollectionDescr.type": {"fullname": "bioimageio.spec.collection.v0_3.CollectionDescr.type", "modulename": "bioimageio.spec.collection.v0_3", "qualname": "CollectionDescr.type", "kind": "variable", "doc": "

\n", "annotation": ": Literal['collection']"}, "bioimageio.spec.collection.v0_3.CollectionDescr.id": {"fullname": "bioimageio.spec.collection.v0_3.CollectionDescr.id", "modulename": "bioimageio.spec.collection.v0_3", "qualname": "CollectionDescr.id", "kind": "variable", "doc": "

Model zoo (bioimage.io) wide, unique identifier (assigned by bioimage.io)

\n", "annotation": ": Optional[bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]]]"}, "bioimageio.spec.collection.v0_3.CollectionDescr.parent": {"fullname": "bioimageio.spec.collection.v0_3.CollectionDescr.parent", "modulename": "bioimageio.spec.collection.v0_3", "qualname": "CollectionDescr.parent", "kind": "variable", "doc": "

The description from which this one is derived

\n", "annotation": ": Optional[bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]]]"}, "bioimageio.spec.collection.v0_3.CollectionDescr.collection": {"fullname": "bioimageio.spec.collection.v0_3.CollectionDescr.collection", "modulename": "bioimageio.spec.collection.v0_3", "qualname": "CollectionDescr.collection", "kind": "variable", "doc": "

Collection entries

\n", "annotation": ": Annotated[List[bioimageio.spec.collection.v0_3.CollectionEntry], MinLen(min_length=1)]"}, "bioimageio.spec.collection.v0_3.CollectionDescr.finalize_entries": {"fullname": "bioimageio.spec.collection.v0_3.CollectionDescr.finalize_entries", "modulename": "bioimageio.spec.collection.v0_3", "qualname": "CollectionDescr.finalize_entries", "kind": "function", "doc": "

\n", "signature": "(self) -> Self:", "funcdef": "def"}, "bioimageio.spec.collection.v0_3.CollectionDescr.implemented_format_version": {"fullname": "bioimageio.spec.collection.v0_3.CollectionDescr.implemented_format_version", "modulename": "bioimageio.spec.collection.v0_3", "qualname": "CollectionDescr.implemented_format_version", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[str]", "default_value": "'0.3.0'"}, "bioimageio.spec.collection.v0_3.CollectionDescr.implemented_format_version_tuple": {"fullname": "bioimageio.spec.collection.v0_3.CollectionDescr.implemented_format_version_tuple", "modulename": "bioimageio.spec.collection.v0_3", "qualname": "CollectionDescr.implemented_format_version_tuple", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[Tuple[int, int, int]]", "default_value": "(0, 3, 0)"}, "bioimageio.spec.collection.v0_3.CollectionDescr.model_config": {"fullname": "bioimageio.spec.collection.v0_3.CollectionDescr.model_config", "modulename": "bioimageio.spec.collection.v0_3", "qualname": "CollectionDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'allow', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True, 'title': 'bioimage.io collection specification'}"}, "bioimageio.spec.collection.v0_3.CollectionDescr.model_fields": {"fullname": "bioimageio.spec.collection.v0_3.CollectionDescr.model_fields", "modulename": "bioimageio.spec.collection.v0_3", "qualname": "CollectionDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'name': FieldInfo(annotation=str, required=True, metadata=[MinLen(min_length=1), MaxLen(max_length=128)]), 'description': FieldInfo(annotation=str, required=True, metadata=[MaxLen(max_length=1024), AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=30, msg='Description longer than 512 characters.', context={'typ': typing.Annotated[typing.Any, MaxLen(max_length=512)]})]), 'covers': FieldInfo(annotation=List[Annotated[Union[HttpUrl, Annotated[Path, PathType, Predicate], RelativeFilePath], WithSuffix, PlainSerializer]], required=False, default_factory=list, description="Cover images. Please use an image smaller than 500KB and an aspect ratio width to height of 2:1 or 1:1.\\nThe supported image formats are: ('.gif', '.jpeg', '.jpg', '.png', '.svg')", examples=[]), 'id_emoji': FieldInfo(annotation=Union[Annotated[str, Len], NoneType], required=False), 'authors': FieldInfo(annotation=List[Author], required=True, metadata=[MinLen(min_length=1)]), 'attachments': FieldInfo(annotation=List[FileDescr], required=False, default_factory=list), 'cite': FieldInfo(annotation=List[CiteEntry], required=True, metadata=[MinLen(min_length=1)]), 'license': FieldInfo(annotation=Union[LicenseId, DeprecatedLicenseId], required=True, examples=['CC-BY-4.0', 'MIT', 'BSD-2-Clause'], metadata=[AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=30, msg='{value} is deprecated, see https://spdx.org/licenses/{value}.html', context={'typ': <class 'bioimageio.spec._internal.license_id.LicenseId'>})]), 'config': FieldInfo(annotation=Dict[str, YamlValue], required=False, default_factory=dict, examples=[{'bioimageio': {'my_custom_key': 3837283, 'another_key': {'nested': 'value'}}, 'imagej': {'macro_dir': 'path/to/macro/file'}}]), 'git_repo': FieldInfo(annotation=Union[HttpUrl, NoneType], required=False, examples=['https://github.com/bioimage-io/spec-bioimage-io/tree/main/example_descriptions/models/unet2d_nuclei_broad']), 'icon': FieldInfo(annotation=Union[Annotated[Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator, PlainSerializer], Annotated[str, Len], NoneType], required=False), 'links': FieldInfo(annotation=List[str], required=False, default_factory=list, examples=[('ilastik/ilastik', 'deepimagej/deepimagej', 'zero/notebook_u-net_3d_zerocostdl4mic')]), 'uploader': FieldInfo(annotation=Union[Uploader, NoneType], required=False), 'maintainers': FieldInfo(annotation=List[Maintainer], required=False, default_factory=list), 'tags': FieldInfo(annotation=List[str], required=False, default_factory=list, examples=[('unet2d', 'pytorch', 'nucleus', 'segmentation', 'dsb2018')]), 'version': FieldInfo(annotation=Union[Version, NoneType], required=False), 'version_number': FieldInfo(annotation=Union[int, NoneType], required=False), 'format_version': FieldInfo(annotation=Literal['0.3.0'], required=False, default='0.3.0'), 'documentation': FieldInfo(annotation=Union[Annotated[Union[Annotated[Path, PathType, Predicate], RelativeFilePath, HttpUrl], AfterValidator, PlainSerializer], NoneType], required=False, examples=['https://raw.githubusercontent.com/bioimage-io/spec-bioimage-io/main/example_descriptions/models/unet2d_nuclei_broad/README.md', 'README.md']), 'badges': FieldInfo(annotation=List[BadgeDescr], required=False, default_factory=list), 'type': FieldInfo(annotation=Literal['collection'], required=False, default='collection'), 'id': FieldInfo(annotation=Union[ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]], NoneType], required=False), 'parent': FieldInfo(annotation=Union[ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]], NoneType], required=False), 'collection': FieldInfo(annotation=List[CollectionEntry], required=True, metadata=[MinLen(min_length=1)])}"}, "bioimageio.spec.collection.v0_3.CollectionDescr.model_computed_fields": {"fullname": "bioimageio.spec.collection.v0_3.CollectionDescr.model_computed_fields", "modulename": "bioimageio.spec.collection.v0_3", "qualname": "CollectionDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.collection.v0_3.LinkedCollection": {"fullname": "bioimageio.spec.collection.v0_3.LinkedCollection", "modulename": "bioimageio.spec.collection.v0_3", "qualname": "LinkedCollection", "kind": "class", "doc": "

Reference to a bioimage.io collection.

\n", "bases": "bioimageio.spec._internal.node.Node"}, "bioimageio.spec.collection.v0_3.LinkedCollection.id": {"fullname": "bioimageio.spec.collection.v0_3.LinkedCollection.id", "modulename": "bioimageio.spec.collection.v0_3", "qualname": "LinkedCollection.id", "kind": "variable", "doc": "

A valid collection id from the bioimage.io collection.

\n", "annotation": ": bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]]"}, "bioimageio.spec.collection.v0_3.LinkedCollection.version_number": {"fullname": "bioimageio.spec.collection.v0_3.LinkedCollection.version_number", "modulename": "bioimageio.spec.collection.v0_3", "qualname": "LinkedCollection.version_number", "kind": "variable", "doc": "

version number (n-th published version, not the semantic version) of linked collection

\n", "annotation": ": int"}, "bioimageio.spec.collection.v0_3.LinkedCollection.model_config": {"fullname": "bioimageio.spec.collection.v0_3.LinkedCollection.model_config", "modulename": "bioimageio.spec.collection.v0_3", "qualname": "LinkedCollection.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.collection.v0_3.LinkedCollection.model_fields": {"fullname": "bioimageio.spec.collection.v0_3.LinkedCollection.model_fields", "modulename": "bioimageio.spec.collection.v0_3", "qualname": "LinkedCollection.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'id': FieldInfo(annotation=ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]], required=True), 'version_number': FieldInfo(annotation=int, required=True)}"}, "bioimageio.spec.collection.v0_3.LinkedCollection.model_computed_fields": {"fullname": "bioimageio.spec.collection.v0_3.LinkedCollection.model_computed_fields", "modulename": "bioimageio.spec.collection.v0_3", "qualname": "LinkedCollection.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.common": {"fullname": "bioimageio.spec.common", "modulename": "bioimageio.spec.common", "kind": "module", "doc": "

\n"}, "bioimageio.spec.dataset": {"fullname": "bioimageio.spec.dataset", "modulename": "bioimageio.spec.dataset", "kind": "module", "doc": "

implementaions of all released minor versions are available in submodules:

\n\n\n"}, "bioimageio.spec.dataset.AnyDatasetDescr": {"fullname": "bioimageio.spec.dataset.AnyDatasetDescr", "modulename": "bioimageio.spec.dataset", "qualname": "AnyDatasetDescr", "kind": "variable", "doc": "

Union of any released dataset desription

\n", "default_value": "typing.Annotated[typing.Union[bioimageio.spec.dataset.v0_2.DatasetDescr, bioimageio.spec.dataset.v0_3.DatasetDescr], Discriminator(discriminator='format_version', custom_error_type=None, custom_error_message=None, custom_error_context=None)]"}, "bioimageio.spec.dataset.v0_2": {"fullname": "bioimageio.spec.dataset.v0_2", "modulename": "bioimageio.spec.dataset.v0_2", "kind": "module", "doc": "

\n"}, "bioimageio.spec.dataset.v0_2.DatasetDescr": {"fullname": "bioimageio.spec.dataset.v0_2.DatasetDescr", "modulename": "bioimageio.spec.dataset.v0_2", "qualname": "DatasetDescr", "kind": "class", "doc": "

A bioimage.io dataset resource description file (dataset RDF) describes a dataset relevant to bioimage\nprocessing.

\n", "bases": "bioimageio.spec.generic.v0_2.GenericDescrBase"}, "bioimageio.spec.dataset.v0_2.DatasetDescr.type": {"fullname": "bioimageio.spec.dataset.v0_2.DatasetDescr.type", "modulename": "bioimageio.spec.dataset.v0_2", "qualname": "DatasetDescr.type", "kind": "variable", "doc": "

\n", "annotation": ": Literal['dataset']"}, "bioimageio.spec.dataset.v0_2.DatasetDescr.id": {"fullname": "bioimageio.spec.dataset.v0_2.DatasetDescr.id", "modulename": "bioimageio.spec.dataset.v0_2", "qualname": "DatasetDescr.id", "kind": "variable", "doc": "

Model zoo (bioimage.io) wide, unique identifier (assigned by bioimage.io)

\n", "annotation": ": Optional[bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]]]"}, "bioimageio.spec.dataset.v0_2.DatasetDescr.source": {"fullname": "bioimageio.spec.dataset.v0_2.DatasetDescr.source", "modulename": "bioimageio.spec.dataset.v0_2", "qualname": "DatasetDescr.source", "kind": "variable", "doc": "

\"URL to the source of the dataset.

\n", "annotation": ": Optional[bioimageio.spec._internal.url.HttpUrl]"}, "bioimageio.spec.dataset.v0_2.DatasetDescr.implemented_format_version": {"fullname": "bioimageio.spec.dataset.v0_2.DatasetDescr.implemented_format_version", "modulename": "bioimageio.spec.dataset.v0_2", "qualname": "DatasetDescr.implemented_format_version", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[str]", "default_value": "'0.2.4'"}, "bioimageio.spec.dataset.v0_2.DatasetDescr.implemented_format_version_tuple": {"fullname": "bioimageio.spec.dataset.v0_2.DatasetDescr.implemented_format_version_tuple", "modulename": "bioimageio.spec.dataset.v0_2", "qualname": "DatasetDescr.implemented_format_version_tuple", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[Tuple[int, int, int]]", "default_value": "(0, 2, 4)"}, "bioimageio.spec.dataset.v0_2.DatasetDescr.model_config": {"fullname": "bioimageio.spec.dataset.v0_2.DatasetDescr.model_config", "modulename": "bioimageio.spec.dataset.v0_2", "qualname": "DatasetDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True, 'title': 'bioimage.io dataset specification'}"}, "bioimageio.spec.dataset.v0_2.DatasetDescr.model_fields": {"fullname": "bioimageio.spec.dataset.v0_2.DatasetDescr.model_fields", "modulename": "bioimageio.spec.dataset.v0_2", "qualname": "DatasetDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'name': FieldInfo(annotation=str, required=True, metadata=[MinLen(min_length=1), AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=30, msg='Longer than 128 characters.', context={'typ': typing.Annotated[typing.Any, MaxLen(max_length=128)]})]), 'description': FieldInfo(annotation=str, required=True), 'covers': FieldInfo(annotation=List[Annotated[Union[HttpUrl, Annotated[Path, PathType, Predicate], RelativeFilePath], WithSuffix, PlainSerializer]], required=False, default_factory=list, description="Cover images. Please use an image smaller than 500KB and an aspect ratio width to height of 2:1.\\nThe supported image formats are: ('.gif', '.jpeg', '.jpg', '.png', '.svg')", examples=['cover.png']), 'id_emoji': FieldInfo(annotation=Union[Annotated[str, Len], NoneType], required=False), 'authors': FieldInfo(annotation=List[Author], required=False, default_factory=list), 'attachments': FieldInfo(annotation=Union[AttachmentsDescr, NoneType], required=False), 'cite': FieldInfo(annotation=List[CiteEntry], required=False, default_factory=list), 'config': FieldInfo(annotation=Dict[str, YamlValue], required=False, default_factory=dict, examples=[{'bioimageio': {'my_custom_key': 3837283, 'another_key': {'nested': 'value'}}, 'imagej': {'macro_dir': 'path/to/macro/file'}}]), 'download_url': FieldInfo(annotation=Union[HttpUrl, NoneType], required=False), 'git_repo': FieldInfo(annotation=Union[str, NoneType], required=False, examples=['https://github.com/bioimage-io/spec-bioimage-io/tree/main/example_descriptions/models/unet2d_nuclei_broad']), 'icon': FieldInfo(annotation=Union[Annotated[Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator, PlainSerializer], Annotated[str, Len], NoneType], required=False), 'links': FieldInfo(annotation=List[str], required=False, default_factory=list, examples=[('ilastik/ilastik', 'deepimagej/deepimagej', 'zero/notebook_u-net_3d_zerocostdl4mic')]), 'uploader': FieldInfo(annotation=Union[Uploader, NoneType], required=False), 'maintainers': FieldInfo(annotation=List[Maintainer], required=False, default_factory=list), 'rdf_source': FieldInfo(annotation=Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)], NoneType], required=False), 'tags': FieldInfo(annotation=List[str], required=False, default_factory=list, examples=[('unet2d', 'pytorch', 'nucleus', 'segmentation', 'dsb2018')]), 'version': FieldInfo(annotation=Union[Version, NoneType], required=False), 'version_number': FieldInfo(annotation=Union[int, NoneType], required=False), 'format_version': FieldInfo(annotation=Literal['0.2.4'], required=False, default='0.2.4'), 'badges': FieldInfo(annotation=List[BadgeDescr], required=False, default_factory=list), 'documentation': FieldInfo(annotation=Union[Annotated[Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator, PlainSerializer], NoneType], required=False, examples=['https://raw.githubusercontent.com/bioimage-io/spec-bioimage-io/main/example_descriptions/models/unet2d_nuclei_broad/README.md', 'README.md']), 'license': FieldInfo(annotation=Union[LicenseId, DeprecatedLicenseId, str, NoneType], required=False, examples=['CC-BY-4.0', 'MIT', 'BSD-2-Clause']), 'type': FieldInfo(annotation=Literal['dataset'], required=False, default='dataset'), 'id': FieldInfo(annotation=Union[ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]], NoneType], required=False), 'source': FieldInfo(annotation=Union[HttpUrl, NoneType], required=False)}"}, "bioimageio.spec.dataset.v0_2.DatasetDescr.model_computed_fields": {"fullname": "bioimageio.spec.dataset.v0_2.DatasetDescr.model_computed_fields", "modulename": "bioimageio.spec.dataset.v0_2", "qualname": "DatasetDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.dataset.v0_2.LinkedDataset": {"fullname": "bioimageio.spec.dataset.v0_2.LinkedDataset", "modulename": "bioimageio.spec.dataset.v0_2", "qualname": "LinkedDataset", "kind": "class", "doc": "

Reference to a bioimage.io dataset.

\n", "bases": "bioimageio.spec._internal.node.Node"}, "bioimageio.spec.dataset.v0_2.LinkedDataset.id": {"fullname": "bioimageio.spec.dataset.v0_2.LinkedDataset.id", "modulename": "bioimageio.spec.dataset.v0_2", "qualname": "LinkedDataset.id", "kind": "variable", "doc": "

A valid dataset id from the bioimage.io collection.

\n", "annotation": ": bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]]"}, "bioimageio.spec.dataset.v0_2.LinkedDataset.version_number": {"fullname": "bioimageio.spec.dataset.v0_2.LinkedDataset.version_number", "modulename": "bioimageio.spec.dataset.v0_2", "qualname": "LinkedDataset.version_number", "kind": "variable", "doc": "

version number (n-th published version, not the semantic version) of linked dataset

\n", "annotation": ": Optional[int]"}, "bioimageio.spec.dataset.v0_2.LinkedDataset.model_config": {"fullname": "bioimageio.spec.dataset.v0_2.LinkedDataset.model_config", "modulename": "bioimageio.spec.dataset.v0_2", "qualname": "LinkedDataset.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.dataset.v0_2.LinkedDataset.model_fields": {"fullname": "bioimageio.spec.dataset.v0_2.LinkedDataset.model_fields", "modulename": "bioimageio.spec.dataset.v0_2", "qualname": "LinkedDataset.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'id': FieldInfo(annotation=ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]], required=True), 'version_number': FieldInfo(annotation=Union[int, NoneType], required=False)}"}, "bioimageio.spec.dataset.v0_2.LinkedDataset.model_computed_fields": {"fullname": "bioimageio.spec.dataset.v0_2.LinkedDataset.model_computed_fields", "modulename": "bioimageio.spec.dataset.v0_2", "qualname": "LinkedDataset.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.dataset.v0_3": {"fullname": "bioimageio.spec.dataset.v0_3", "modulename": "bioimageio.spec.dataset.v0_3", "kind": "module", "doc": "

\n"}, "bioimageio.spec.dataset.v0_3.DatasetDescr": {"fullname": "bioimageio.spec.dataset.v0_3.DatasetDescr", "modulename": "bioimageio.spec.dataset.v0_3", "qualname": "DatasetDescr", "kind": "class", "doc": "

A bioimage.io dataset resource description file (dataset RDF) describes a dataset relevant to bioimage\nprocessing.

\n", "bases": "bioimageio.spec.generic.v0_3.GenericDescrBase"}, "bioimageio.spec.dataset.v0_3.DatasetDescr.type": {"fullname": "bioimageio.spec.dataset.v0_3.DatasetDescr.type", "modulename": "bioimageio.spec.dataset.v0_3", "qualname": "DatasetDescr.type", "kind": "variable", "doc": "

\n", "annotation": ": Literal['dataset']"}, "bioimageio.spec.dataset.v0_3.DatasetDescr.id": {"fullname": "bioimageio.spec.dataset.v0_3.DatasetDescr.id", "modulename": "bioimageio.spec.dataset.v0_3", "qualname": "DatasetDescr.id", "kind": "variable", "doc": "

Model zoo (bioimage.io) wide, unique identifier (assigned by bioimage.io)

\n", "annotation": ": Optional[bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]]]"}, "bioimageio.spec.dataset.v0_3.DatasetDescr.parent": {"fullname": "bioimageio.spec.dataset.v0_3.DatasetDescr.parent", "modulename": "bioimageio.spec.dataset.v0_3", "qualname": "DatasetDescr.parent", "kind": "variable", "doc": "

The description from which this one is derived

\n", "annotation": ": Optional[bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]]]"}, "bioimageio.spec.dataset.v0_3.DatasetDescr.source": {"fullname": "bioimageio.spec.dataset.v0_3.DatasetDescr.source", "modulename": "bioimageio.spec.dataset.v0_3", "qualname": "DatasetDescr.source", "kind": "variable", "doc": "

\"URL to the source of the dataset.

\n", "annotation": ": Optional[bioimageio.spec._internal.url.HttpUrl]"}, "bioimageio.spec.dataset.v0_3.DatasetDescr.implemented_format_version": {"fullname": "bioimageio.spec.dataset.v0_3.DatasetDescr.implemented_format_version", "modulename": "bioimageio.spec.dataset.v0_3", "qualname": "DatasetDescr.implemented_format_version", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[str]", "default_value": "'0.3.0'"}, "bioimageio.spec.dataset.v0_3.DatasetDescr.implemented_format_version_tuple": {"fullname": "bioimageio.spec.dataset.v0_3.DatasetDescr.implemented_format_version_tuple", "modulename": "bioimageio.spec.dataset.v0_3", "qualname": "DatasetDescr.implemented_format_version_tuple", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[Tuple[int, int, int]]", "default_value": "(0, 3, 0)"}, "bioimageio.spec.dataset.v0_3.DatasetDescr.model_config": {"fullname": "bioimageio.spec.dataset.v0_3.DatasetDescr.model_config", "modulename": "bioimageio.spec.dataset.v0_3", "qualname": "DatasetDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True, 'title': 'bioimage.io dataset specification'}"}, "bioimageio.spec.dataset.v0_3.DatasetDescr.model_fields": {"fullname": "bioimageio.spec.dataset.v0_3.DatasetDescr.model_fields", "modulename": "bioimageio.spec.dataset.v0_3", "qualname": "DatasetDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'name': FieldInfo(annotation=str, required=True, metadata=[MinLen(min_length=1), MaxLen(max_length=128)]), 'description': FieldInfo(annotation=str, required=True, metadata=[MaxLen(max_length=1024), AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=30, msg='Description longer than 512 characters.', context={'typ': typing.Annotated[typing.Any, MaxLen(max_length=512)]})]), 'covers': FieldInfo(annotation=List[Annotated[Union[HttpUrl, Annotated[Path, PathType, Predicate], RelativeFilePath], WithSuffix, PlainSerializer]], required=False, default_factory=list, description="Cover images. Please use an image smaller than 500KB and an aspect ratio width to height of 2:1 or 1:1.\\nThe supported image formats are: ('.gif', '.jpeg', '.jpg', '.png', '.svg')", examples=[]), 'id_emoji': FieldInfo(annotation=Union[Annotated[str, Len], NoneType], required=False), 'authors': FieldInfo(annotation=List[Author], required=True, metadata=[MinLen(min_length=1)]), 'attachments': FieldInfo(annotation=List[FileDescr], required=False, default_factory=list), 'cite': FieldInfo(annotation=List[CiteEntry], required=True, metadata=[MinLen(min_length=1)]), 'license': FieldInfo(annotation=Union[LicenseId, DeprecatedLicenseId], required=True, examples=['CC-BY-4.0', 'MIT', 'BSD-2-Clause'], metadata=[AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=30, msg='{value} is deprecated, see https://spdx.org/licenses/{value}.html', context={'typ': <class 'bioimageio.spec._internal.license_id.LicenseId'>})]), 'config': FieldInfo(annotation=Dict[str, YamlValue], required=False, default_factory=dict, examples=[{'bioimageio': {'my_custom_key': 3837283, 'another_key': {'nested': 'value'}}, 'imagej': {'macro_dir': 'path/to/macro/file'}}]), 'git_repo': FieldInfo(annotation=Union[HttpUrl, NoneType], required=False, examples=['https://github.com/bioimage-io/spec-bioimage-io/tree/main/example_descriptions/models/unet2d_nuclei_broad']), 'icon': FieldInfo(annotation=Union[Annotated[Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator, PlainSerializer], Annotated[str, Len], NoneType], required=False), 'links': FieldInfo(annotation=List[str], required=False, default_factory=list, examples=[('ilastik/ilastik', 'deepimagej/deepimagej', 'zero/notebook_u-net_3d_zerocostdl4mic')]), 'uploader': FieldInfo(annotation=Union[Uploader, NoneType], required=False), 'maintainers': FieldInfo(annotation=List[Maintainer], required=False, default_factory=list), 'tags': FieldInfo(annotation=List[str], required=False, default_factory=list, examples=[('unet2d', 'pytorch', 'nucleus', 'segmentation', 'dsb2018')]), 'version': FieldInfo(annotation=Union[Version, NoneType], required=False), 'version_number': FieldInfo(annotation=Union[int, NoneType], required=False), 'format_version': FieldInfo(annotation=Literal['0.3.0'], required=False, default='0.3.0'), 'documentation': FieldInfo(annotation=Union[Annotated[Union[Annotated[Path, PathType, Predicate], RelativeFilePath, HttpUrl], AfterValidator, PlainSerializer], NoneType], required=False, examples=['https://raw.githubusercontent.com/bioimage-io/spec-bioimage-io/main/example_descriptions/models/unet2d_nuclei_broad/README.md', 'README.md']), 'badges': FieldInfo(annotation=List[BadgeDescr], required=False, default_factory=list), 'type': FieldInfo(annotation=Literal['dataset'], required=False, default='dataset'), 'id': FieldInfo(annotation=Union[ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]], NoneType], required=False), 'parent': FieldInfo(annotation=Union[ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]], NoneType], required=False), 'source': FieldInfo(annotation=Union[HttpUrl, NoneType], required=False)}"}, "bioimageio.spec.dataset.v0_3.DatasetDescr.model_computed_fields": {"fullname": "bioimageio.spec.dataset.v0_3.DatasetDescr.model_computed_fields", "modulename": "bioimageio.spec.dataset.v0_3", "qualname": "DatasetDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.dataset.v0_3.LinkedDataset": {"fullname": "bioimageio.spec.dataset.v0_3.LinkedDataset", "modulename": "bioimageio.spec.dataset.v0_3", "qualname": "LinkedDataset", "kind": "class", "doc": "

Reference to a bioimage.io dataset.

\n", "bases": "bioimageio.spec._internal.node.Node"}, "bioimageio.spec.dataset.v0_3.LinkedDataset.id": {"fullname": "bioimageio.spec.dataset.v0_3.LinkedDataset.id", "modulename": "bioimageio.spec.dataset.v0_3", "qualname": "LinkedDataset.id", "kind": "variable", "doc": "

A valid dataset id from the bioimage.io collection.

\n", "annotation": ": bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]]"}, "bioimageio.spec.dataset.v0_3.LinkedDataset.version_number": {"fullname": "bioimageio.spec.dataset.v0_3.LinkedDataset.version_number", "modulename": "bioimageio.spec.dataset.v0_3", "qualname": "LinkedDataset.version_number", "kind": "variable", "doc": "

version number (n-th published version, not the semantic version) of linked dataset

\n", "annotation": ": int"}, "bioimageio.spec.dataset.v0_3.LinkedDataset.model_config": {"fullname": "bioimageio.spec.dataset.v0_3.LinkedDataset.model_config", "modulename": "bioimageio.spec.dataset.v0_3", "qualname": "LinkedDataset.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.dataset.v0_3.LinkedDataset.model_fields": {"fullname": "bioimageio.spec.dataset.v0_3.LinkedDataset.model_fields", "modulename": "bioimageio.spec.dataset.v0_3", "qualname": "LinkedDataset.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'id': FieldInfo(annotation=ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]], required=True), 'version_number': FieldInfo(annotation=int, required=True)}"}, "bioimageio.spec.dataset.v0_3.LinkedDataset.model_computed_fields": {"fullname": "bioimageio.spec.dataset.v0_3.LinkedDataset.model_computed_fields", "modulename": "bioimageio.spec.dataset.v0_3", "qualname": "LinkedDataset.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.generic": {"fullname": "bioimageio.spec.generic", "modulename": "bioimageio.spec.generic", "kind": "module", "doc": "

implementaions of all released minor versions are available in submodules:

\n\n\n"}, "bioimageio.spec.generic.AnyGenericDescr": {"fullname": "bioimageio.spec.generic.AnyGenericDescr", "modulename": "bioimageio.spec.generic", "qualname": "AnyGenericDescr", "kind": "variable", "doc": "

Union of any released generic desription

\n", "default_value": "typing.Annotated[typing.Union[bioimageio.spec.generic.v0_2.GenericDescr, bioimageio.spec.generic.v0_3.GenericDescr], Discriminator(discriminator='format_version', custom_error_type=None, custom_error_message=None, custom_error_context=None)]"}, "bioimageio.spec.generic.v0_2": {"fullname": "bioimageio.spec.generic.v0_2", "modulename": "bioimageio.spec.generic.v0_2", "kind": "module", "doc": "

\n"}, "bioimageio.spec.generic.v0_2.KNOWN_SPECIFIC_RESOURCE_TYPES": {"fullname": "bioimageio.spec.generic.v0_2.KNOWN_SPECIFIC_RESOURCE_TYPES", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "KNOWN_SPECIFIC_RESOURCE_TYPES", "kind": "variable", "doc": "

\n", "default_value": "('application', 'collection', 'dataset', 'model', 'notebook')"}, "bioimageio.spec.generic.v0_2.VALID_COVER_IMAGE_EXTENSIONS": {"fullname": "bioimageio.spec.generic.v0_2.VALID_COVER_IMAGE_EXTENSIONS", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "VALID_COVER_IMAGE_EXTENSIONS", "kind": "variable", "doc": "

\n", "default_value": "('.gif', '.jpeg', '.jpg', '.png', '.svg')"}, "bioimageio.spec.generic.v0_2.CoverImageSource": {"fullname": "bioimageio.spec.generic.v0_2.CoverImageSource", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "CoverImageSource", "kind": "variable", "doc": "

\n", "default_value": "typing.Annotated[typing.Union[bioimageio.spec._internal.url.HttpUrl, typing.Annotated[pathlib.Path, PathType(path_type='file'), Predicate(func=<function PurePath.is_absolute>)], bioimageio.spec._internal.io.RelativeFilePath], WithSuffix(suffix=('.gif', '.jpeg', '.jpg', '.png', '.svg'), case_sensitive=False), PlainSerializer(func=<function _package>, return_type=PydanticUndefined, when_used='unless-none')]"}, "bioimageio.spec.generic.v0_2.AttachmentsDescr": {"fullname": "bioimageio.spec.generic.v0_2.AttachmentsDescr", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "AttachmentsDescr", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "bioimageio.spec._internal.node.Node"}, "bioimageio.spec.generic.v0_2.AttachmentsDescr.model_config": {"fullname": "bioimageio.spec.generic.v0_2.AttachmentsDescr.model_config", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "AttachmentsDescr.model_config", "kind": "variable", "doc": "

update pydantic model config to allow additional unknown keys

\n", "default_value": "{'extra': 'allow', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.generic.v0_2.AttachmentsDescr.files": {"fullname": "bioimageio.spec.generic.v0_2.AttachmentsDescr.files", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "AttachmentsDescr.files", "kind": "variable", "doc": "

\u2208\ud83d\udce6 File attachments

\n", "annotation": ": List[Annotated[Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator(func=<function wo_special_file_name at 0x7f4541d10680>), PlainSerializer(func=<function _package at 0x7f4541d118a0>, return_type=PydanticUndefined, when_used='unless-none')]]"}, "bioimageio.spec.generic.v0_2.AttachmentsDescr.model_fields": {"fullname": "bioimageio.spec.generic.v0_2.AttachmentsDescr.model_fields", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "AttachmentsDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'files': FieldInfo(annotation=List[Annotated[Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator, PlainSerializer]], required=False, default_factory=list)}"}, "bioimageio.spec.generic.v0_2.AttachmentsDescr.model_computed_fields": {"fullname": "bioimageio.spec.generic.v0_2.AttachmentsDescr.model_computed_fields", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "AttachmentsDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.generic.v0_2.Uploader": {"fullname": "bioimageio.spec.generic.v0_2.Uploader", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "Uploader", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "bioimageio.spec._internal.node.Node"}, "bioimageio.spec.generic.v0_2.Uploader.email": {"fullname": "bioimageio.spec.generic.v0_2.Uploader.email", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "Uploader.email", "kind": "variable", "doc": "

Email

\n", "annotation": ": pydantic.networks.EmailStr"}, "bioimageio.spec.generic.v0_2.Uploader.name": {"fullname": "bioimageio.spec.generic.v0_2.Uploader.name", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "Uploader.name", "kind": "variable", "doc": "

name

\n", "annotation": ": Optional[Annotated[str, AfterValidator(func=<function _remove_slashes at 0x7f4541b6e8e0>)]]"}, "bioimageio.spec.generic.v0_2.Uploader.model_config": {"fullname": "bioimageio.spec.generic.v0_2.Uploader.model_config", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "Uploader.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.generic.v0_2.Uploader.model_fields": {"fullname": "bioimageio.spec.generic.v0_2.Uploader.model_fields", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "Uploader.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'email': FieldInfo(annotation=EmailStr, required=True), 'name': FieldInfo(annotation=Union[Annotated[str, AfterValidator], NoneType], required=False)}"}, "bioimageio.spec.generic.v0_2.Uploader.model_computed_fields": {"fullname": "bioimageio.spec.generic.v0_2.Uploader.model_computed_fields", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "Uploader.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.generic.v0_2.Author": {"fullname": "bioimageio.spec.generic.v0_2.Author", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "Author", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "_Person"}, "bioimageio.spec.generic.v0_2.Author.name": {"fullname": "bioimageio.spec.generic.v0_2.Author.name", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "Author.name", "kind": "variable", "doc": "

\n", "annotation": ": Annotated[str, AfterValidator(func=<function _remove_slashes at 0x7f4541b6e8e0>)]"}, "bioimageio.spec.generic.v0_2.Author.github_user": {"fullname": "bioimageio.spec.generic.v0_2.Author.github_user", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "Author.github_user", "kind": "variable", "doc": "

\n", "annotation": ": Optional[str]"}, "bioimageio.spec.generic.v0_2.Author.model_config": {"fullname": "bioimageio.spec.generic.v0_2.Author.model_config", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "Author.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.generic.v0_2.Author.model_fields": {"fullname": "bioimageio.spec.generic.v0_2.Author.model_fields", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "Author.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'affiliation': FieldInfo(annotation=Union[str, NoneType], required=False), 'email': FieldInfo(annotation=Union[EmailStr, NoneType], required=False), 'orcid': FieldInfo(annotation=Union[ValidatedString[Annotated[str, AfterValidator]], NoneType], required=False, examples=['0000-0001-2345-6789']), 'name': FieldInfo(annotation=str, required=True, metadata=[AfterValidator(func=<function _remove_slashes>)]), 'github_user': FieldInfo(annotation=Union[str, NoneType], required=False)}"}, "bioimageio.spec.generic.v0_2.Author.model_computed_fields": {"fullname": "bioimageio.spec.generic.v0_2.Author.model_computed_fields", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "Author.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.generic.v0_2.Maintainer": {"fullname": "bioimageio.spec.generic.v0_2.Maintainer", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "Maintainer", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "_Person"}, "bioimageio.spec.generic.v0_2.Maintainer.name": {"fullname": "bioimageio.spec.generic.v0_2.Maintainer.name", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "Maintainer.name", "kind": "variable", "doc": "

\n", "annotation": ": Optional[Annotated[str, AfterValidator(func=<function _remove_slashes at 0x7f4541b6e8e0>)]]"}, "bioimageio.spec.generic.v0_2.Maintainer.github_user": {"fullname": "bioimageio.spec.generic.v0_2.Maintainer.github_user", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "Maintainer.github_user", "kind": "variable", "doc": "

\n", "annotation": ": str"}, "bioimageio.spec.generic.v0_2.Maintainer.model_config": {"fullname": "bioimageio.spec.generic.v0_2.Maintainer.model_config", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "Maintainer.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.generic.v0_2.Maintainer.model_fields": {"fullname": "bioimageio.spec.generic.v0_2.Maintainer.model_fields", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "Maintainer.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'affiliation': FieldInfo(annotation=Union[str, NoneType], required=False), 'email': FieldInfo(annotation=Union[EmailStr, NoneType], required=False), 'orcid': FieldInfo(annotation=Union[ValidatedString[Annotated[str, AfterValidator]], NoneType], required=False, examples=['0000-0001-2345-6789']), 'name': FieldInfo(annotation=Union[Annotated[str, AfterValidator], NoneType], required=False), 'github_user': FieldInfo(annotation=str, required=True)}"}, "bioimageio.spec.generic.v0_2.Maintainer.model_computed_fields": {"fullname": "bioimageio.spec.generic.v0_2.Maintainer.model_computed_fields", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "Maintainer.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.generic.v0_2.BadgeDescr": {"fullname": "bioimageio.spec.generic.v0_2.BadgeDescr", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "BadgeDescr", "kind": "class", "doc": "

A custom badge

\n", "bases": "bioimageio.spec._internal.node.Node"}, "bioimageio.spec.generic.v0_2.BadgeDescr.label": {"fullname": "bioimageio.spec.generic.v0_2.BadgeDescr.label", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "BadgeDescr.label", "kind": "variable", "doc": "

badge label to display on hover

\n", "annotation": ": Annotated[str, FieldInfo(annotation=NoneType, required=True, examples=['Open in Colab'])]"}, "bioimageio.spec.generic.v0_2.BadgeDescr.icon": {"fullname": "bioimageio.spec.generic.v0_2.BadgeDescr.icon", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "BadgeDescr.icon", "kind": "variable", "doc": "

badge icon

\n", "annotation": ": Annotated[Optional[bioimageio.spec._internal.url.HttpUrl], FieldInfo(annotation=NoneType, required=True, examples=['https://colab.research.google.com/assets/colab-badge.svg'])]"}, "bioimageio.spec.generic.v0_2.BadgeDescr.url": {"fullname": "bioimageio.spec.generic.v0_2.BadgeDescr.url", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "BadgeDescr.url", "kind": "variable", "doc": "

target URL

\n", "annotation": ": Annotated[bioimageio.spec._internal.url.HttpUrl, FieldInfo(annotation=NoneType, required=True, examples=['https://colab.research.google.com/github/HenriquesLab/ZeroCostDL4Mic/blob/master/Colab_notebooks/U-net_2D_ZeroCostDL4Mic.ipynb'])]"}, "bioimageio.spec.generic.v0_2.BadgeDescr.model_config": {"fullname": "bioimageio.spec.generic.v0_2.BadgeDescr.model_config", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "BadgeDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True, 'title': 'Custom badge'}"}, "bioimageio.spec.generic.v0_2.BadgeDescr.model_fields": {"fullname": "bioimageio.spec.generic.v0_2.BadgeDescr.model_fields", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "BadgeDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'label': FieldInfo(annotation=str, required=True, examples=['Open in Colab']), 'icon': FieldInfo(annotation=Union[HttpUrl, NoneType], required=False, examples=['https://colab.research.google.com/assets/colab-badge.svg']), 'url': FieldInfo(annotation=HttpUrl, required=True, examples=['https://colab.research.google.com/github/HenriquesLab/ZeroCostDL4Mic/blob/master/Colab_notebooks/U-net_2D_ZeroCostDL4Mic.ipynb'])}"}, "bioimageio.spec.generic.v0_2.BadgeDescr.model_computed_fields": {"fullname": "bioimageio.spec.generic.v0_2.BadgeDescr.model_computed_fields", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "BadgeDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.generic.v0_2.CiteEntry": {"fullname": "bioimageio.spec.generic.v0_2.CiteEntry", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "CiteEntry", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "bioimageio.spec._internal.node.Node"}, "bioimageio.spec.generic.v0_2.CiteEntry.text": {"fullname": "bioimageio.spec.generic.v0_2.CiteEntry.text", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "CiteEntry.text", "kind": "variable", "doc": "

free text description

\n", "annotation": ": str"}, "bioimageio.spec.generic.v0_2.CiteEntry.doi": {"fullname": "bioimageio.spec.generic.v0_2.CiteEntry.doi", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "CiteEntry.doi", "kind": "variable", "doc": "

A digital object identifier (DOI) is the prefered citation reference.\nSee https://www.doi.org/ for details. (alternatively specify url)

\n", "annotation": ": Optional[bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, StringConstraints]]]"}, "bioimageio.spec.generic.v0_2.CiteEntry.accept_prefixed_doi": {"fullname": "bioimageio.spec.generic.v0_2.CiteEntry.accept_prefixed_doi", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "CiteEntry.accept_prefixed_doi", "kind": "function", "doc": "

\n", "signature": "(cls, doi: Any) -> Any:", "funcdef": "def"}, "bioimageio.spec.generic.v0_2.CiteEntry.url": {"fullname": "bioimageio.spec.generic.v0_2.CiteEntry.url", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "CiteEntry.url", "kind": "variable", "doc": "

URL to cite (preferably specify a doi instead)

\n", "annotation": ": Optional[str]"}, "bioimageio.spec.generic.v0_2.CiteEntry.model_config": {"fullname": "bioimageio.spec.generic.v0_2.CiteEntry.model_config", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "CiteEntry.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.generic.v0_2.CiteEntry.model_fields": {"fullname": "bioimageio.spec.generic.v0_2.CiteEntry.model_fields", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "CiteEntry.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'text': FieldInfo(annotation=str, required=True), 'doi': FieldInfo(annotation=Union[ValidatedString[Annotated[str, StringConstraints]], NoneType], required=False), 'url': FieldInfo(annotation=Union[str, NoneType], required=False)}"}, "bioimageio.spec.generic.v0_2.CiteEntry.model_computed_fields": {"fullname": "bioimageio.spec.generic.v0_2.CiteEntry.model_computed_fields", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "CiteEntry.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.generic.v0_2.LinkedResource": {"fullname": "bioimageio.spec.generic.v0_2.LinkedResource", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "LinkedResource", "kind": "class", "doc": "

Reference to a bioimage.io resource

\n", "bases": "bioimageio.spec._internal.node.Node"}, "bioimageio.spec.generic.v0_2.LinkedResource.id": {"fullname": "bioimageio.spec.generic.v0_2.LinkedResource.id", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "LinkedResource.id", "kind": "variable", "doc": "

A valid resource id from the bioimage.io collection.

\n", "annotation": ": bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]]"}, "bioimageio.spec.generic.v0_2.LinkedResource.version_number": {"fullname": "bioimageio.spec.generic.v0_2.LinkedResource.version_number", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "LinkedResource.version_number", "kind": "variable", "doc": "

version number (n-th published version, not the semantic version) of linked resource

\n", "annotation": ": Optional[int]"}, "bioimageio.spec.generic.v0_2.LinkedResource.model_config": {"fullname": "bioimageio.spec.generic.v0_2.LinkedResource.model_config", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "LinkedResource.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.generic.v0_2.LinkedResource.model_fields": {"fullname": "bioimageio.spec.generic.v0_2.LinkedResource.model_fields", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "LinkedResource.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'id': FieldInfo(annotation=ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]], required=True), 'version_number': FieldInfo(annotation=Union[int, NoneType], required=False)}"}, "bioimageio.spec.generic.v0_2.LinkedResource.model_computed_fields": {"fullname": "bioimageio.spec.generic.v0_2.LinkedResource.model_computed_fields", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "LinkedResource.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.generic.v0_2.GenericModelDescrBase": {"fullname": "bioimageio.spec.generic.v0_2.GenericModelDescrBase", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericModelDescrBase", "kind": "class", "doc": "

Base for all resource descriptions including of model descriptions

\n", "bases": "bioimageio.spec._internal.common_nodes.ResourceDescrBase"}, "bioimageio.spec.generic.v0_2.GenericModelDescrBase.name": {"fullname": "bioimageio.spec.generic.v0_2.GenericModelDescrBase.name", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericModelDescrBase.name", "kind": "variable", "doc": "

A human-friendly name of the resource description

\n", "annotation": ": Annotated[str, MinLen(min_length=1), AfterWarner(func=<function as_warning.<locals>.wrapper at 0x7f4541bc91c0>, severity=30, msg='Longer than 128 characters.', context={'typ': Annotated[Any, MaxLen(max_length=128)]})]"}, "bioimageio.spec.generic.v0_2.GenericModelDescrBase.description": {"fullname": "bioimageio.spec.generic.v0_2.GenericModelDescrBase.description", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericModelDescrBase.description", "kind": "variable", "doc": "

\n", "annotation": ": str"}, "bioimageio.spec.generic.v0_2.GenericModelDescrBase.covers": {"fullname": "bioimageio.spec.generic.v0_2.GenericModelDescrBase.covers", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericModelDescrBase.covers", "kind": "variable", "doc": "

\u2208\ud83d\udce6 Cover images. Please use an image smaller than 500KB and an aspect ratio width to height of 2:1.

\n", "annotation": ": Annotated[List[Annotated[Union[bioimageio.spec._internal.url.HttpUrl, Annotated[pathlib.Path, PathType(path_type='file'), Predicate(func=<function PurePath.is_absolute at 0x7f4545045940>)], bioimageio.spec._internal.io.RelativeFilePath], WithSuffix(suffix=('.gif', '.jpeg', '.jpg', '.png', '.svg'), case_sensitive=False), PlainSerializer(func=<function _package at 0x7f4541d118a0>, return_type=PydanticUndefined, when_used='unless-none')]], FieldInfo(annotation=NoneType, required=True, description="Cover images. Please use an image smaller than 500KB and an aspect ratio width to height of 2:1.\\nThe supported image formats are: ('.gif', '.jpeg', '.jpg', '.png', '.svg')", examples=['cover.png'])]"}, "bioimageio.spec.generic.v0_2.GenericModelDescrBase.id_emoji": {"fullname": "bioimageio.spec.generic.v0_2.GenericModelDescrBase.id_emoji", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericModelDescrBase.id_emoji", "kind": "variable", "doc": "

UTF-8 emoji for display alongside the id.

\n", "annotation": ": Optional[Annotated[str, Len(min_length=1, max_length=1)]]"}, "bioimageio.spec.generic.v0_2.GenericModelDescrBase.authors": {"fullname": "bioimageio.spec.generic.v0_2.GenericModelDescrBase.authors", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericModelDescrBase.authors", "kind": "variable", "doc": "

The authors are the creators of the RDF and the primary points of contact.

\n", "annotation": ": List[bioimageio.spec.generic.v0_2.Author]"}, "bioimageio.spec.generic.v0_2.GenericModelDescrBase.accept_author_strings": {"fullname": "bioimageio.spec.generic.v0_2.GenericModelDescrBase.accept_author_strings", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericModelDescrBase.accept_author_strings", "kind": "function", "doc": "

we unofficially accept strings as author entries

\n", "signature": "(cls, authors: Union[Any, Sequence[Any]]) -> Any:", "funcdef": "def"}, "bioimageio.spec.generic.v0_2.GenericModelDescrBase.attachments": {"fullname": "bioimageio.spec.generic.v0_2.GenericModelDescrBase.attachments", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericModelDescrBase.attachments", "kind": "variable", "doc": "

file and other attachments

\n", "annotation": ": Optional[bioimageio.spec.generic.v0_2.AttachmentsDescr]"}, "bioimageio.spec.generic.v0_2.GenericModelDescrBase.cite": {"fullname": "bioimageio.spec.generic.v0_2.GenericModelDescrBase.cite", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericModelDescrBase.cite", "kind": "variable", "doc": "

citations

\n", "annotation": ": List[bioimageio.spec.generic.v0_2.CiteEntry]"}, "bioimageio.spec.generic.v0_2.GenericModelDescrBase.config": {"fullname": "bioimageio.spec.generic.v0_2.GenericModelDescrBase.config", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericModelDescrBase.config", "kind": "variable", "doc": "

A field for custom configuration that can contain any keys not present in the RDF spec.\nThis means you should not store, for example, a github repo URL in config since we already have the\ngit_repo field defined in the spec.\nKeys in config may be very specific to a tool or consumer software. To avoid conflicting definitions,\nit is recommended to wrap added configuration into a sub-field named with the specific domain or tool name,\nfor example:

\n\n
\n
config:\n    bioimageio:  # here is the domain name\n        my_custom_key: 3837283\n        another_key:\n            nested: value\n    imagej:       # config specific to ImageJ\n        macro_dir: path/to/macro/file\n
\n
\n\n

If possible, please use snake_case for keys in config.\nYou may want to list linked files additionally under attachments to include them when packaging a resource\n(packaging a resource means downloading/copying important linked files and creating a ZIP archive that contains\nan altered rdf.yaml file with local references to the downloaded files)

\n", "annotation": ": Annotated[Dict[str, YamlValue], FieldInfo(annotation=NoneType, required=True, examples=[{'bioimageio': {'my_custom_key': 3837283, 'another_key': {'nested': 'value'}}, 'imagej': {'macro_dir': 'path/to/macro/file'}}])]"}, "bioimageio.spec.generic.v0_2.GenericModelDescrBase.download_url": {"fullname": "bioimageio.spec.generic.v0_2.GenericModelDescrBase.download_url", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericModelDescrBase.download_url", "kind": "variable", "doc": "

URL to download the resource from (deprecated)

\n", "annotation": ": Optional[bioimageio.spec._internal.url.HttpUrl]"}, "bioimageio.spec.generic.v0_2.GenericModelDescrBase.git_repo": {"fullname": "bioimageio.spec.generic.v0_2.GenericModelDescrBase.git_repo", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericModelDescrBase.git_repo", "kind": "variable", "doc": "

A URL to the Git repository where the resource is being developed.

\n", "annotation": ": Annotated[Optional[str], FieldInfo(annotation=NoneType, required=True, examples=['https://github.com/bioimage-io/spec-bioimage-io/tree/main/example_descriptions/models/unet2d_nuclei_broad'])]"}, "bioimageio.spec.generic.v0_2.GenericModelDescrBase.icon": {"fullname": "bioimageio.spec.generic.v0_2.GenericModelDescrBase.icon", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericModelDescrBase.icon", "kind": "variable", "doc": "

An icon for illustration

\n", "annotation": ": Union[Annotated[Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator(func=<function wo_special_file_name at 0x7f4541d10680>), PlainSerializer(func=<function _package at 0x7f4541d118a0>, return_type=PydanticUndefined, when_used='unless-none')], Annotated[str, Len(min_length=1, max_length=2)], NoneType]"}, "bioimageio.spec.generic.v0_2.GenericModelDescrBase.links": {"fullname": "bioimageio.spec.generic.v0_2.GenericModelDescrBase.links", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericModelDescrBase.links", "kind": "variable", "doc": "

IDs of other bioimage.io resources

\n", "annotation": ": Annotated[List[str], FieldInfo(annotation=NoneType, required=True, examples=[('ilastik/ilastik', 'deepimagej/deepimagej', 'zero/notebook_u-net_3d_zerocostdl4mic')])]"}, "bioimageio.spec.generic.v0_2.GenericModelDescrBase.uploader": {"fullname": "bioimageio.spec.generic.v0_2.GenericModelDescrBase.uploader", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericModelDescrBase.uploader", "kind": "variable", "doc": "

The person who uploaded the model (e.g. to bioimage.io)

\n", "annotation": ": Optional[bioimageio.spec.generic.v0_2.Uploader]"}, "bioimageio.spec.generic.v0_2.GenericModelDescrBase.maintainers": {"fullname": "bioimageio.spec.generic.v0_2.GenericModelDescrBase.maintainers", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericModelDescrBase.maintainers", "kind": "variable", "doc": "

Maintainers of this resource.\nIf not specified authors are maintainers and at least some of them should specify their github_user name

\n", "annotation": ": List[bioimageio.spec.generic.v0_2.Maintainer]"}, "bioimageio.spec.generic.v0_2.GenericModelDescrBase.rdf_source": {"fullname": "bioimageio.spec.generic.v0_2.GenericModelDescrBase.rdf_source", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericModelDescrBase.rdf_source", "kind": "variable", "doc": "

Resource description file (RDF) source; used to keep track of where an rdf.yaml was loaded from.\nDo not set this field in a YAML file.

\n", "annotation": ": Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)], NoneType]"}, "bioimageio.spec.generic.v0_2.GenericModelDescrBase.tags": {"fullname": "bioimageio.spec.generic.v0_2.GenericModelDescrBase.tags", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericModelDescrBase.tags", "kind": "variable", "doc": "

Associated tags

\n", "annotation": ": Annotated[List[str], FieldInfo(annotation=NoneType, required=True, examples=[('unet2d', 'pytorch', 'nucleus', 'segmentation', 'dsb2018')])]"}, "bioimageio.spec.generic.v0_2.GenericModelDescrBase.warn_about_tag_categories": {"fullname": "bioimageio.spec.generic.v0_2.GenericModelDescrBase.warn_about_tag_categories", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericModelDescrBase.warn_about_tag_categories", "kind": "function", "doc": "

\n", "signature": "(value: Any, info: pydantic_core.core_schema.ValidationInfo) -> Any:", "funcdef": "def"}, "bioimageio.spec.generic.v0_2.GenericModelDescrBase.version": {"fullname": "bioimageio.spec.generic.v0_2.GenericModelDescrBase.version", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericModelDescrBase.version", "kind": "variable", "doc": "

The version of the resource following SemVer 2.0.

\n", "annotation": ": Optional[bioimageio.spec._internal.version_type.Version]"}, "bioimageio.spec.generic.v0_2.GenericModelDescrBase.version_number": {"fullname": "bioimageio.spec.generic.v0_2.GenericModelDescrBase.version_number", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericModelDescrBase.version_number", "kind": "variable", "doc": "

version number (n-th published version, not the semantic version)

\n", "annotation": ": Optional[int]"}, "bioimageio.spec.generic.v0_2.GenericModelDescrBase.model_config": {"fullname": "bioimageio.spec.generic.v0_2.GenericModelDescrBase.model_config", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericModelDescrBase.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.generic.v0_2.GenericModelDescrBase.model_fields": {"fullname": "bioimageio.spec.generic.v0_2.GenericModelDescrBase.model_fields", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericModelDescrBase.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'name': FieldInfo(annotation=str, required=True, metadata=[MinLen(min_length=1), AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=30, msg='Longer than 128 characters.', context={'typ': typing.Annotated[typing.Any, MaxLen(max_length=128)]})]), 'description': FieldInfo(annotation=str, required=True), 'covers': FieldInfo(annotation=List[Annotated[Union[HttpUrl, Annotated[Path, PathType, Predicate], RelativeFilePath], WithSuffix, PlainSerializer]], required=False, default_factory=list, description="Cover images. Please use an image smaller than 500KB and an aspect ratio width to height of 2:1.\\nThe supported image formats are: ('.gif', '.jpeg', '.jpg', '.png', '.svg')", examples=['cover.png']), 'id_emoji': FieldInfo(annotation=Union[Annotated[str, Len], NoneType], required=False), 'authors': FieldInfo(annotation=List[Author], required=False, default_factory=list), 'attachments': FieldInfo(annotation=Union[AttachmentsDescr, NoneType], required=False), 'cite': FieldInfo(annotation=List[CiteEntry], required=False, default_factory=list), 'config': FieldInfo(annotation=Dict[str, YamlValue], required=False, default_factory=dict, examples=[{'bioimageio': {'my_custom_key': 3837283, 'another_key': {'nested': 'value'}}, 'imagej': {'macro_dir': 'path/to/macro/file'}}]), 'download_url': FieldInfo(annotation=Union[HttpUrl, NoneType], required=False), 'git_repo': FieldInfo(annotation=Union[str, NoneType], required=False, examples=['https://github.com/bioimage-io/spec-bioimage-io/tree/main/example_descriptions/models/unet2d_nuclei_broad']), 'icon': FieldInfo(annotation=Union[Annotated[Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator, PlainSerializer], Annotated[str, Len], NoneType], required=False), 'links': FieldInfo(annotation=List[str], required=False, default_factory=list, examples=[('ilastik/ilastik', 'deepimagej/deepimagej', 'zero/notebook_u-net_3d_zerocostdl4mic')]), 'uploader': FieldInfo(annotation=Union[Uploader, NoneType], required=False), 'maintainers': FieldInfo(annotation=List[Maintainer], required=False, default_factory=list), 'rdf_source': FieldInfo(annotation=Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)], NoneType], required=False), 'tags': FieldInfo(annotation=List[str], required=False, default_factory=list, examples=[('unet2d', 'pytorch', 'nucleus', 'segmentation', 'dsb2018')]), 'version': FieldInfo(annotation=Union[Version, NoneType], required=False), 'version_number': FieldInfo(annotation=Union[int, NoneType], required=False)}"}, "bioimageio.spec.generic.v0_2.GenericModelDescrBase.model_computed_fields": {"fullname": "bioimageio.spec.generic.v0_2.GenericModelDescrBase.model_computed_fields", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericModelDescrBase.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.generic.v0_2.GenericDescrBase": {"fullname": "bioimageio.spec.generic.v0_2.GenericDescrBase", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericDescrBase", "kind": "class", "doc": "

Base for all resource descriptions except for the model descriptions

\n", "bases": "GenericModelDescrBase"}, "bioimageio.spec.generic.v0_2.GenericDescrBase.format_version": {"fullname": "bioimageio.spec.generic.v0_2.GenericDescrBase.format_version", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericDescrBase.format_version", "kind": "variable", "doc": "

The format version of this resource specification\n(not the version of the resource description)\nWhen creating a new resource always use the latest micro/patch version described here.\nThe format_version is important for any consumer software to understand how to parse the fields.

\n", "annotation": ": Literal['0.2.4']"}, "bioimageio.spec.generic.v0_2.GenericDescrBase.badges": {"fullname": "bioimageio.spec.generic.v0_2.GenericDescrBase.badges", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericDescrBase.badges", "kind": "variable", "doc": "

badges associated with this resource

\n", "annotation": ": List[bioimageio.spec.generic.v0_2.BadgeDescr]"}, "bioimageio.spec.generic.v0_2.GenericDescrBase.documentation": {"fullname": "bioimageio.spec.generic.v0_2.GenericDescrBase.documentation", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericDescrBase.documentation", "kind": "variable", "doc": "

\u2208\ud83d\udce6 URL or relative path to a markdown file with additional documentation.\nThe recommended documentation file name is README.md. An .md suffix is mandatory.

\n", "annotation": ": Annotated[Optional[Annotated[Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator(func=<function wo_special_file_name at 0x7f4541d10680>), PlainSerializer(func=<function _package at 0x7f4541d118a0>, return_type=PydanticUndefined, when_used='unless-none')]], FieldInfo(annotation=NoneType, required=True, examples=['https://raw.githubusercontent.com/bioimage-io/spec-bioimage-io/main/example_descriptions/models/unet2d_nuclei_broad/README.md', 'README.md'])]"}, "bioimageio.spec.generic.v0_2.GenericDescrBase.license": {"fullname": "bioimageio.spec.generic.v0_2.GenericDescrBase.license", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericDescrBase.license", "kind": "variable", "doc": "

A SPDX license identifier.\nWe do not support custom license beyond the SPDX license list, if you need that please\nopen a GitHub issue to discuss your intentions with the community.

\n", "annotation": ": Annotated[Union[bioimageio.spec._internal.license_id.LicenseId, bioimageio.spec._internal.license_id.DeprecatedLicenseId, str, NoneType], FieldInfo(annotation=NoneType, required=True, examples=['CC-BY-4.0', 'MIT', 'BSD-2-Clause'])]"}, "bioimageio.spec.generic.v0_2.GenericDescrBase.deprecated_spdx_license": {"fullname": "bioimageio.spec.generic.v0_2.GenericDescrBase.deprecated_spdx_license", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericDescrBase.deprecated_spdx_license", "kind": "function", "doc": "

\n", "signature": "(\tcls,\tvalue: Union[bioimageio.spec._internal.license_id.LicenseId, bioimageio.spec._internal.license_id.DeprecatedLicenseId, str, NoneType]):", "funcdef": "def"}, "bioimageio.spec.generic.v0_2.GenericDescrBase.implemented_format_version": {"fullname": "bioimageio.spec.generic.v0_2.GenericDescrBase.implemented_format_version", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericDescrBase.implemented_format_version", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[str]", "default_value": "'0.2.4'"}, "bioimageio.spec.generic.v0_2.GenericDescrBase.implemented_format_version_tuple": {"fullname": "bioimageio.spec.generic.v0_2.GenericDescrBase.implemented_format_version_tuple", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericDescrBase.implemented_format_version_tuple", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[Tuple[int, int, int]]", "default_value": "(0, 2, 4)"}, "bioimageio.spec.generic.v0_2.GenericDescrBase.model_config": {"fullname": "bioimageio.spec.generic.v0_2.GenericDescrBase.model_config", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericDescrBase.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.generic.v0_2.GenericDescrBase.model_fields": {"fullname": "bioimageio.spec.generic.v0_2.GenericDescrBase.model_fields", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericDescrBase.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'name': FieldInfo(annotation=str, required=True, metadata=[MinLen(min_length=1), AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=30, msg='Longer than 128 characters.', context={'typ': typing.Annotated[typing.Any, MaxLen(max_length=128)]})]), 'description': FieldInfo(annotation=str, required=True), 'covers': FieldInfo(annotation=List[Annotated[Union[HttpUrl, Annotated[Path, PathType, Predicate], RelativeFilePath], WithSuffix, PlainSerializer]], required=False, default_factory=list, description="Cover images. Please use an image smaller than 500KB and an aspect ratio width to height of 2:1.\\nThe supported image formats are: ('.gif', '.jpeg', '.jpg', '.png', '.svg')", examples=['cover.png']), 'id_emoji': FieldInfo(annotation=Union[Annotated[str, Len], NoneType], required=False), 'authors': FieldInfo(annotation=List[Author], required=False, default_factory=list), 'attachments': FieldInfo(annotation=Union[AttachmentsDescr, NoneType], required=False), 'cite': FieldInfo(annotation=List[CiteEntry], required=False, default_factory=list), 'config': FieldInfo(annotation=Dict[str, YamlValue], required=False, default_factory=dict, examples=[{'bioimageio': {'my_custom_key': 3837283, 'another_key': {'nested': 'value'}}, 'imagej': {'macro_dir': 'path/to/macro/file'}}]), 'download_url': FieldInfo(annotation=Union[HttpUrl, NoneType], required=False), 'git_repo': FieldInfo(annotation=Union[str, NoneType], required=False, examples=['https://github.com/bioimage-io/spec-bioimage-io/tree/main/example_descriptions/models/unet2d_nuclei_broad']), 'icon': FieldInfo(annotation=Union[Annotated[Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator, PlainSerializer], Annotated[str, Len], NoneType], required=False), 'links': FieldInfo(annotation=List[str], required=False, default_factory=list, examples=[('ilastik/ilastik', 'deepimagej/deepimagej', 'zero/notebook_u-net_3d_zerocostdl4mic')]), 'uploader': FieldInfo(annotation=Union[Uploader, NoneType], required=False), 'maintainers': FieldInfo(annotation=List[Maintainer], required=False, default_factory=list), 'rdf_source': FieldInfo(annotation=Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)], NoneType], required=False), 'tags': FieldInfo(annotation=List[str], required=False, default_factory=list, examples=[('unet2d', 'pytorch', 'nucleus', 'segmentation', 'dsb2018')]), 'version': FieldInfo(annotation=Union[Version, NoneType], required=False), 'version_number': FieldInfo(annotation=Union[int, NoneType], required=False), 'format_version': FieldInfo(annotation=Literal['0.2.4'], required=False, default='0.2.4'), 'badges': FieldInfo(annotation=List[BadgeDescr], required=False, default_factory=list), 'documentation': FieldInfo(annotation=Union[Annotated[Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator, PlainSerializer], NoneType], required=False, examples=['https://raw.githubusercontent.com/bioimage-io/spec-bioimage-io/main/example_descriptions/models/unet2d_nuclei_broad/README.md', 'README.md']), 'license': FieldInfo(annotation=Union[LicenseId, DeprecatedLicenseId, str, NoneType], required=False, examples=['CC-BY-4.0', 'MIT', 'BSD-2-Clause'])}"}, "bioimageio.spec.generic.v0_2.GenericDescrBase.model_computed_fields": {"fullname": "bioimageio.spec.generic.v0_2.GenericDescrBase.model_computed_fields", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericDescrBase.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.generic.v0_2.GenericDescr": {"fullname": "bioimageio.spec.generic.v0_2.GenericDescr", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericDescr", "kind": "class", "doc": "

Specification of the fields used in a generic bioimage.io-compliant resource description file (RDF).

\n\n

An RDF is a YAML file that describes a resource such as a model, a dataset, or a notebook.\nNote that those resources are described with a type-specific RDF.\nUse this generic resource description, if none of the known specific types matches your resource.

\n", "bases": "GenericDescrBase"}, "bioimageio.spec.generic.v0_2.GenericDescr.type": {"fullname": "bioimageio.spec.generic.v0_2.GenericDescr.type", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericDescr.type", "kind": "variable", "doc": "

The resource type assigns a broad category to the resource.

\n", "annotation": ": Annotated[str, Annotated[~_StrType, Predicate(func=<method 'islower' of 'str' objects>)], FieldInfo(annotation=NoneType, required=True, frozen=True)]"}, "bioimageio.spec.generic.v0_2.GenericDescr.id": {"fullname": "bioimageio.spec.generic.v0_2.GenericDescr.id", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericDescr.id", "kind": "variable", "doc": "

Model zoo (bioimage.io) wide, unique identifier (assigned by bioimage.io)

\n", "annotation": ": Optional[bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]]]"}, "bioimageio.spec.generic.v0_2.GenericDescr.source": {"fullname": "bioimageio.spec.generic.v0_2.GenericDescr.source", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericDescr.source", "kind": "variable", "doc": "

The primary source of the resource

\n", "annotation": ": Optional[bioimageio.spec._internal.url.HttpUrl]"}, "bioimageio.spec.generic.v0_2.GenericDescr.check_specific_types": {"fullname": "bioimageio.spec.generic.v0_2.GenericDescr.check_specific_types", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericDescr.check_specific_types", "kind": "function", "doc": "

\n", "signature": "(cls, value: str) -> str:", "funcdef": "def"}, "bioimageio.spec.generic.v0_2.GenericDescr.implemented_format_version": {"fullname": "bioimageio.spec.generic.v0_2.GenericDescr.implemented_format_version", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericDescr.implemented_format_version", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[str]", "default_value": "'0.2.4'"}, "bioimageio.spec.generic.v0_2.GenericDescr.implemented_format_version_tuple": {"fullname": "bioimageio.spec.generic.v0_2.GenericDescr.implemented_format_version_tuple", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericDescr.implemented_format_version_tuple", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[Tuple[int, int, int]]", "default_value": "(0, 2, 4)"}, "bioimageio.spec.generic.v0_2.GenericDescr.model_config": {"fullname": "bioimageio.spec.generic.v0_2.GenericDescr.model_config", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'ignore', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True, 'title': 'bioimage.io generic specification'}"}, "bioimageio.spec.generic.v0_2.GenericDescr.model_fields": {"fullname": "bioimageio.spec.generic.v0_2.GenericDescr.model_fields", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'name': FieldInfo(annotation=str, required=True, metadata=[MinLen(min_length=1), AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=30, msg='Longer than 128 characters.', context={'typ': typing.Annotated[typing.Any, MaxLen(max_length=128)]})]), 'description': FieldInfo(annotation=str, required=True), 'covers': FieldInfo(annotation=List[Annotated[Union[HttpUrl, Annotated[Path, PathType, Predicate], RelativeFilePath], WithSuffix, PlainSerializer]], required=False, default_factory=list, description="Cover images. Please use an image smaller than 500KB and an aspect ratio width to height of 2:1.\\nThe supported image formats are: ('.gif', '.jpeg', '.jpg', '.png', '.svg')", examples=['cover.png']), 'id_emoji': FieldInfo(annotation=Union[Annotated[str, Len], NoneType], required=False), 'authors': FieldInfo(annotation=List[Author], required=False, default_factory=list), 'attachments': FieldInfo(annotation=Union[AttachmentsDescr, NoneType], required=False), 'cite': FieldInfo(annotation=List[CiteEntry], required=False, default_factory=list), 'config': FieldInfo(annotation=Dict[str, YamlValue], required=False, default_factory=dict, examples=[{'bioimageio': {'my_custom_key': 3837283, 'another_key': {'nested': 'value'}}, 'imagej': {'macro_dir': 'path/to/macro/file'}}]), 'download_url': FieldInfo(annotation=Union[HttpUrl, NoneType], required=False), 'git_repo': FieldInfo(annotation=Union[str, NoneType], required=False, examples=['https://github.com/bioimage-io/spec-bioimage-io/tree/main/example_descriptions/models/unet2d_nuclei_broad']), 'icon': FieldInfo(annotation=Union[Annotated[Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator, PlainSerializer], Annotated[str, Len], NoneType], required=False), 'links': FieldInfo(annotation=List[str], required=False, default_factory=list, examples=[('ilastik/ilastik', 'deepimagej/deepimagej', 'zero/notebook_u-net_3d_zerocostdl4mic')]), 'uploader': FieldInfo(annotation=Union[Uploader, NoneType], required=False), 'maintainers': FieldInfo(annotation=List[Maintainer], required=False, default_factory=list), 'rdf_source': FieldInfo(annotation=Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)], NoneType], required=False), 'tags': FieldInfo(annotation=List[str], required=False, default_factory=list, examples=[('unet2d', 'pytorch', 'nucleus', 'segmentation', 'dsb2018')]), 'version': FieldInfo(annotation=Union[Version, NoneType], required=False), 'version_number': FieldInfo(annotation=Union[int, NoneType], required=False), 'format_version': FieldInfo(annotation=Literal['0.2.4'], required=False, default='0.2.4'), 'badges': FieldInfo(annotation=List[BadgeDescr], required=False, default_factory=list), 'documentation': FieldInfo(annotation=Union[Annotated[Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator, PlainSerializer], NoneType], required=False, examples=['https://raw.githubusercontent.com/bioimage-io/spec-bioimage-io/main/example_descriptions/models/unet2d_nuclei_broad/README.md', 'README.md']), 'license': FieldInfo(annotation=Union[LicenseId, DeprecatedLicenseId, str, NoneType], required=False, examples=['CC-BY-4.0', 'MIT', 'BSD-2-Clause']), 'type': FieldInfo(annotation=str, required=False, default='generic', frozen=True, metadata=[typing.Annotated[~_StrType, Predicate(func=<method 'islower' of 'str' objects>)]]), 'id': FieldInfo(annotation=Union[ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]], NoneType], required=False), 'source': FieldInfo(annotation=Union[HttpUrl, NoneType], required=False)}"}, "bioimageio.spec.generic.v0_2.GenericDescr.model_computed_fields": {"fullname": "bioimageio.spec.generic.v0_2.GenericDescr.model_computed_fields", "modulename": "bioimageio.spec.generic.v0_2", "qualname": "GenericDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.generic.v0_3": {"fullname": "bioimageio.spec.generic.v0_3", "modulename": "bioimageio.spec.generic.v0_3", "kind": "module", "doc": "

\n"}, "bioimageio.spec.generic.v0_3.KNOWN_SPECIFIC_RESOURCE_TYPES": {"fullname": "bioimageio.spec.generic.v0_3.KNOWN_SPECIFIC_RESOURCE_TYPES", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "KNOWN_SPECIFIC_RESOURCE_TYPES", "kind": "variable", "doc": "

\n", "default_value": "('application', 'collection', 'dataset', 'model', 'notebook')"}, "bioimageio.spec.generic.v0_3.DocumentationSource": {"fullname": "bioimageio.spec.generic.v0_3.DocumentationSource", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "DocumentationSource", "kind": "variable", "doc": "

\n", "default_value": "typing.Annotated[typing.Union[typing.Annotated[pathlib.Path, PathType(path_type='file'), Predicate(func=<function PurePath.is_absolute>)], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl], AfterValidator(func=<function _validate_md_suffix>), PlainSerializer(func=<function _package>, return_type=PydanticUndefined, when_used='unless-none')]"}, "bioimageio.spec.generic.v0_3.Author": {"fullname": "bioimageio.spec.generic.v0_3.Author", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "Author", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "bioimageio.spec.generic.v0_2.Author"}, "bioimageio.spec.generic.v0_3.Author.name": {"fullname": "bioimageio.spec.generic.v0_3.Author.name", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "Author.name", "kind": "variable", "doc": "

\n", "annotation": ": Annotated[str, Predicate(func=<function _has_no_slash at 0x7f4541a5ce00>)]"}, "bioimageio.spec.generic.v0_3.Author.github_user": {"fullname": "bioimageio.spec.generic.v0_3.Author.github_user", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "Author.github_user", "kind": "variable", "doc": "

\n", "annotation": ": Optional[str]"}, "bioimageio.spec.generic.v0_3.Author.model_config": {"fullname": "bioimageio.spec.generic.v0_3.Author.model_config", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "Author.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.generic.v0_3.Author.model_fields": {"fullname": "bioimageio.spec.generic.v0_3.Author.model_fields", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "Author.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'affiliation': FieldInfo(annotation=Union[str, NoneType], required=False), 'email': FieldInfo(annotation=Union[EmailStr, NoneType], required=False), 'orcid': FieldInfo(annotation=Union[ValidatedString[Annotated[str, AfterValidator]], NoneType], required=False, examples=['0000-0001-2345-6789']), 'name': FieldInfo(annotation=str, required=True, metadata=[Predicate(func=<function _has_no_slash>)]), 'github_user': FieldInfo(annotation=Union[str, NoneType], required=False)}"}, "bioimageio.spec.generic.v0_3.Author.model_computed_fields": {"fullname": "bioimageio.spec.generic.v0_3.Author.model_computed_fields", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "Author.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.generic.v0_3.Maintainer": {"fullname": "bioimageio.spec.generic.v0_3.Maintainer", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "Maintainer", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "bioimageio.spec.generic.v0_2.Maintainer"}, "bioimageio.spec.generic.v0_3.Maintainer.name": {"fullname": "bioimageio.spec.generic.v0_3.Maintainer.name", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "Maintainer.name", "kind": "variable", "doc": "

\n", "annotation": ": Optional[Annotated[str, Predicate(func=<function _has_no_slash at 0x7f4541a5ce00>)]]"}, "bioimageio.spec.generic.v0_3.Maintainer.github_user": {"fullname": "bioimageio.spec.generic.v0_3.Maintainer.github_user", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "Maintainer.github_user", "kind": "variable", "doc": "

\n", "annotation": ": str"}, "bioimageio.spec.generic.v0_3.Maintainer.validate_gh_user": {"fullname": "bioimageio.spec.generic.v0_3.Maintainer.validate_gh_user", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "Maintainer.validate_gh_user", "kind": "function", "doc": "

\n", "signature": "(cls, value: str):", "funcdef": "def"}, "bioimageio.spec.generic.v0_3.Maintainer.model_config": {"fullname": "bioimageio.spec.generic.v0_3.Maintainer.model_config", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "Maintainer.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.generic.v0_3.Maintainer.model_fields": {"fullname": "bioimageio.spec.generic.v0_3.Maintainer.model_fields", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "Maintainer.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'affiliation': FieldInfo(annotation=Union[str, NoneType], required=False), 'email': FieldInfo(annotation=Union[EmailStr, NoneType], required=False), 'orcid': FieldInfo(annotation=Union[ValidatedString[Annotated[str, AfterValidator]], NoneType], required=False, examples=['0000-0001-2345-6789']), 'name': FieldInfo(annotation=Union[Annotated[str, Predicate], NoneType], required=False), 'github_user': FieldInfo(annotation=str, required=True)}"}, "bioimageio.spec.generic.v0_3.Maintainer.model_computed_fields": {"fullname": "bioimageio.spec.generic.v0_3.Maintainer.model_computed_fields", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "Maintainer.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.generic.v0_3.CiteEntry": {"fullname": "bioimageio.spec.generic.v0_3.CiteEntry", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "CiteEntry", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "bioimageio.spec._internal.node.Node"}, "bioimageio.spec.generic.v0_3.CiteEntry.text": {"fullname": "bioimageio.spec.generic.v0_3.CiteEntry.text", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "CiteEntry.text", "kind": "variable", "doc": "

free text description

\n", "annotation": ": str"}, "bioimageio.spec.generic.v0_3.CiteEntry.doi": {"fullname": "bioimageio.spec.generic.v0_3.CiteEntry.doi", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "CiteEntry.doi", "kind": "variable", "doc": "

A digital object identifier (DOI) is the prefered citation reference.\nSee https://www.doi.org/ for details. (alternatively specify url)

\n", "annotation": ": Optional[bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, StringConstraints]]]"}, "bioimageio.spec.generic.v0_3.CiteEntry.url": {"fullname": "bioimageio.spec.generic.v0_3.CiteEntry.url", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "CiteEntry.url", "kind": "variable", "doc": "

URL to cite (preferably specify a doi instead)

\n", "annotation": ": Optional[bioimageio.spec._internal.url.HttpUrl]"}, "bioimageio.spec.generic.v0_3.CiteEntry.model_config": {"fullname": "bioimageio.spec.generic.v0_3.CiteEntry.model_config", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "CiteEntry.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.generic.v0_3.CiteEntry.model_fields": {"fullname": "bioimageio.spec.generic.v0_3.CiteEntry.model_fields", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "CiteEntry.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'text': FieldInfo(annotation=str, required=True), 'doi': FieldInfo(annotation=Union[ValidatedString[Annotated[str, StringConstraints]], NoneType], required=False), 'url': FieldInfo(annotation=Union[HttpUrl, NoneType], required=False)}"}, "bioimageio.spec.generic.v0_3.CiteEntry.model_computed_fields": {"fullname": "bioimageio.spec.generic.v0_3.CiteEntry.model_computed_fields", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "CiteEntry.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.generic.v0_3.LinkedResource": {"fullname": "bioimageio.spec.generic.v0_3.LinkedResource", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "LinkedResource", "kind": "class", "doc": "

Reference to a bioimage.io resource

\n", "bases": "bioimageio.spec._internal.node.Node"}, "bioimageio.spec.generic.v0_3.LinkedResource.id": {"fullname": "bioimageio.spec.generic.v0_3.LinkedResource.id", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "LinkedResource.id", "kind": "variable", "doc": "

A valid resource id from the official bioimage.io collection.

\n", "annotation": ": bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]]"}, "bioimageio.spec.generic.v0_3.LinkedResource.version_number": {"fullname": "bioimageio.spec.generic.v0_3.LinkedResource.version_number", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "LinkedResource.version_number", "kind": "variable", "doc": "

version number (n-th published version, not the semantic version) of linked resource

\n", "annotation": ": int"}, "bioimageio.spec.generic.v0_3.LinkedResource.model_config": {"fullname": "bioimageio.spec.generic.v0_3.LinkedResource.model_config", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "LinkedResource.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.generic.v0_3.LinkedResource.model_fields": {"fullname": "bioimageio.spec.generic.v0_3.LinkedResource.model_fields", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "LinkedResource.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'id': FieldInfo(annotation=ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]], required=True), 'version_number': FieldInfo(annotation=int, required=True)}"}, "bioimageio.spec.generic.v0_3.LinkedResource.model_computed_fields": {"fullname": "bioimageio.spec.generic.v0_3.LinkedResource.model_computed_fields", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "LinkedResource.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.generic.v0_3.GenericModelDescrBase": {"fullname": "bioimageio.spec.generic.v0_3.GenericModelDescrBase", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "GenericModelDescrBase", "kind": "class", "doc": "

Base for all resource descriptions including of model descriptions

\n", "bases": "bioimageio.spec._internal.common_nodes.ResourceDescrBase"}, "bioimageio.spec.generic.v0_3.GenericModelDescrBase.name": {"fullname": "bioimageio.spec.generic.v0_3.GenericModelDescrBase.name", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "GenericModelDescrBase.name", "kind": "variable", "doc": "

A human-friendly name of the resource description.\nMay only contains letters, digits, underscore, minus, parentheses and spaces.

\n", "annotation": ": Annotated[str, MinLen(min_length=1), MaxLen(max_length=128)]"}, "bioimageio.spec.generic.v0_3.GenericModelDescrBase.description": {"fullname": "bioimageio.spec.generic.v0_3.GenericModelDescrBase.description", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "GenericModelDescrBase.description", "kind": "variable", "doc": "

A string containing a brief description.

\n", "annotation": ": Annotated[str, MaxLen(max_length=1024), AfterWarner(func=<function as_warning.<locals>.wrapper at 0x7f454389ef20>, severity=30, msg='Description longer than 512 characters.', context={'typ': Annotated[Any, MaxLen(max_length=512)]})]"}, "bioimageio.spec.generic.v0_3.GenericModelDescrBase.covers": {"fullname": "bioimageio.spec.generic.v0_3.GenericModelDescrBase.covers", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "GenericModelDescrBase.covers", "kind": "variable", "doc": "

\u2208\ud83d\udce6 Cover images.

\n", "annotation": ": Annotated[List[Annotated[Union[bioimageio.spec._internal.url.HttpUrl, Annotated[pathlib.Path, PathType(path_type='file'), Predicate(func=<function PurePath.is_absolute at 0x7f4545045940>)], bioimageio.spec._internal.io.RelativeFilePath], WithSuffix(suffix=('.gif', '.jpeg', '.jpg', '.png', '.svg'), case_sensitive=False), PlainSerializer(func=<function _package at 0x7f4541d118a0>, return_type=PydanticUndefined, when_used='unless-none')]], FieldInfo(annotation=NoneType, required=True, description="Cover images. Please use an image smaller than 500KB and an aspect ratio width to height of 2:1 or 1:1.\\nThe supported image formats are: ('.gif', '.jpeg', '.jpg', '.png', '.svg')", examples=[])]"}, "bioimageio.spec.generic.v0_3.GenericModelDescrBase.id_emoji": {"fullname": "bioimageio.spec.generic.v0_3.GenericModelDescrBase.id_emoji", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "GenericModelDescrBase.id_emoji", "kind": "variable", "doc": "

UTF-8 emoji for display alongside the id.

\n", "annotation": ": Optional[Annotated[str, Len(min_length=1, max_length=1)]]"}, "bioimageio.spec.generic.v0_3.GenericModelDescrBase.authors": {"fullname": "bioimageio.spec.generic.v0_3.GenericModelDescrBase.authors", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "GenericModelDescrBase.authors", "kind": "variable", "doc": "

The authors are the creators of this resource description and the primary points of contact.

\n", "annotation": ": Annotated[List[bioimageio.spec.generic.v0_3.Author], MinLen(min_length=1)]"}, "bioimageio.spec.generic.v0_3.GenericModelDescrBase.attachments": {"fullname": "bioimageio.spec.generic.v0_3.GenericModelDescrBase.attachments", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "GenericModelDescrBase.attachments", "kind": "variable", "doc": "

file attachments

\n", "annotation": ": List[bioimageio.spec._internal.io.FileDescr]"}, "bioimageio.spec.generic.v0_3.GenericModelDescrBase.cite": {"fullname": "bioimageio.spec.generic.v0_3.GenericModelDescrBase.cite", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "GenericModelDescrBase.cite", "kind": "variable", "doc": "

citations

\n", "annotation": ": Annotated[List[bioimageio.spec.generic.v0_3.CiteEntry], MinLen(min_length=1)]"}, "bioimageio.spec.generic.v0_3.GenericModelDescrBase.license": {"fullname": "bioimageio.spec.generic.v0_3.GenericModelDescrBase.license", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "GenericModelDescrBase.license", "kind": "variable", "doc": "

A SPDX license identifier.\nWe do not support custom license beyond the SPDX license list, if you need that please\nopen a GitHub issue\nto discuss your intentions with the community.

\n", "annotation": ": Annotated[Union[bioimageio.spec._internal.license_id.LicenseId, bioimageio.spec._internal.license_id.DeprecatedLicenseId], AfterWarner(func=<function as_warning.<locals>.wrapper at 0x7f45342b8680>, severity=30, msg='{value} is deprecated, see https://spdx.org/licenses/{value}.html', context={'typ': <class 'bioimageio.spec._internal.license_id.LicenseId'>}), FieldInfo(annotation=NoneType, required=True, examples=['CC-BY-4.0', 'MIT', 'BSD-2-Clause'])]"}, "bioimageio.spec.generic.v0_3.GenericModelDescrBase.config": {"fullname": "bioimageio.spec.generic.v0_3.GenericModelDescrBase.config", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "GenericModelDescrBase.config", "kind": "variable", "doc": "

A field for custom configuration that can contain any keys not present in the RDF spec.\nThis means you should not store, for example, a GitHub repo URL in config since there is a git_repo field.\nKeys in config may be very specific to a tool or consumer software. To avoid conflicting definitions,\nit is recommended to wrap added configuration into a sub-field named with the specific domain or tool name,\nfor example:

\n\n
\n
config:\n    bioimageio:  # here is the domain name\n        my_custom_key: 3837283\n        another_key:\n            nested: value\n    imagej:       # config specific to ImageJ\n        macro_dir: path/to/macro/file\n
\n
\n\n

If possible, please use snake_case for keys in config.\nYou may want to list linked files additionally under attachments to include them when packaging a resource.\n(Packaging a resource means downloading/copying important linked files and creating a ZIP archive that contains\nan altered rdf.yaml file with local references to the downloaded files.)

\n", "annotation": ": Annotated[Dict[str, YamlValue], FieldInfo(annotation=NoneType, required=True, examples=[{'bioimageio': {'my_custom_key': 3837283, 'another_key': {'nested': 'value'}}, 'imagej': {'macro_dir': 'path/to/macro/file'}}])]"}, "bioimageio.spec.generic.v0_3.GenericModelDescrBase.git_repo": {"fullname": "bioimageio.spec.generic.v0_3.GenericModelDescrBase.git_repo", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "GenericModelDescrBase.git_repo", "kind": "variable", "doc": "

A URL to the Git repository where the resource is being developed.

\n", "annotation": ": Annotated[Optional[bioimageio.spec._internal.url.HttpUrl], FieldInfo(annotation=NoneType, required=True, examples=['https://github.com/bioimage-io/spec-bioimage-io/tree/main/example_descriptions/models/unet2d_nuclei_broad'])]"}, "bioimageio.spec.generic.v0_3.GenericModelDescrBase.icon": {"fullname": "bioimageio.spec.generic.v0_3.GenericModelDescrBase.icon", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "GenericModelDescrBase.icon", "kind": "variable", "doc": "

An icon for illustration, e.g. on bioimage.io

\n", "annotation": ": Union[Annotated[Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator(func=<function wo_special_file_name at 0x7f4541d10680>), PlainSerializer(func=<function _package at 0x7f4541d118a0>, return_type=PydanticUndefined, when_used='unless-none')], Annotated[str, Len(min_length=1, max_length=2)], NoneType]"}, "bioimageio.spec.generic.v0_3.GenericModelDescrBase.links": {"fullname": "bioimageio.spec.generic.v0_3.GenericModelDescrBase.links", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "GenericModelDescrBase.links", "kind": "variable", "doc": "

IDs of other bioimage.io resources

\n", "annotation": ": Annotated[List[str], FieldInfo(annotation=NoneType, required=True, examples=[('ilastik/ilastik', 'deepimagej/deepimagej', 'zero/notebook_u-net_3d_zerocostdl4mic')])]"}, "bioimageio.spec.generic.v0_3.GenericModelDescrBase.uploader": {"fullname": "bioimageio.spec.generic.v0_3.GenericModelDescrBase.uploader", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "GenericModelDescrBase.uploader", "kind": "variable", "doc": "

The person who uploaded the model (e.g. to bioimage.io)

\n", "annotation": ": Optional[bioimageio.spec.generic.v0_2.Uploader]"}, "bioimageio.spec.generic.v0_3.GenericModelDescrBase.maintainers": {"fullname": "bioimageio.spec.generic.v0_3.GenericModelDescrBase.maintainers", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "GenericModelDescrBase.maintainers", "kind": "variable", "doc": "

Maintainers of this resource.\nIf not specified, authors are maintainers and at least some of them has to specify their github_user name

\n", "annotation": ": List[bioimageio.spec.generic.v0_3.Maintainer]"}, "bioimageio.spec.generic.v0_3.GenericModelDescrBase.check_maintainers_exist": {"fullname": "bioimageio.spec.generic.v0_3.GenericModelDescrBase.check_maintainers_exist", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "GenericModelDescrBase.check_maintainers_exist", "kind": "function", "doc": "

\n", "signature": "(value: Any, info: pydantic_core.core_schema.ValidationInfo) -> Any:", "funcdef": "def"}, "bioimageio.spec.generic.v0_3.GenericModelDescrBase.tags": {"fullname": "bioimageio.spec.generic.v0_3.GenericModelDescrBase.tags", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "GenericModelDescrBase.tags", "kind": "variable", "doc": "

Associated tags

\n", "annotation": ": Annotated[List[str], FieldInfo(annotation=NoneType, required=True, examples=[('unet2d', 'pytorch', 'nucleus', 'segmentation', 'dsb2018')])]"}, "bioimageio.spec.generic.v0_3.GenericModelDescrBase.warn_about_tag_categories": {"fullname": "bioimageio.spec.generic.v0_3.GenericModelDescrBase.warn_about_tag_categories", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "GenericModelDescrBase.warn_about_tag_categories", "kind": "function", "doc": "

\n", "signature": "(value: Any, info: pydantic_core.core_schema.ValidationInfo) -> Any:", "funcdef": "def"}, "bioimageio.spec.generic.v0_3.GenericModelDescrBase.version": {"fullname": "bioimageio.spec.generic.v0_3.GenericModelDescrBase.version", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "GenericModelDescrBase.version", "kind": "variable", "doc": "

The version of the resource following SemVer 2.0.

\n", "annotation": ": Optional[bioimageio.spec._internal.version_type.Version]"}, "bioimageio.spec.generic.v0_3.GenericModelDescrBase.version_number": {"fullname": "bioimageio.spec.generic.v0_3.GenericModelDescrBase.version_number", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "GenericModelDescrBase.version_number", "kind": "variable", "doc": "

version number (n-th published version, not the semantic version)

\n", "annotation": ": Optional[int]"}, "bioimageio.spec.generic.v0_3.GenericModelDescrBase.model_config": {"fullname": "bioimageio.spec.generic.v0_3.GenericModelDescrBase.model_config", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "GenericModelDescrBase.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.generic.v0_3.GenericModelDescrBase.model_fields": {"fullname": "bioimageio.spec.generic.v0_3.GenericModelDescrBase.model_fields", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "GenericModelDescrBase.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'name': FieldInfo(annotation=str, required=True, metadata=[MinLen(min_length=1), MaxLen(max_length=128)]), 'description': FieldInfo(annotation=str, required=True, metadata=[MaxLen(max_length=1024), AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=30, msg='Description longer than 512 characters.', context={'typ': typing.Annotated[typing.Any, MaxLen(max_length=512)]})]), 'covers': FieldInfo(annotation=List[Annotated[Union[HttpUrl, Annotated[Path, PathType, Predicate], RelativeFilePath], WithSuffix, PlainSerializer]], required=False, default_factory=list, description="Cover images. Please use an image smaller than 500KB and an aspect ratio width to height of 2:1 or 1:1.\\nThe supported image formats are: ('.gif', '.jpeg', '.jpg', '.png', '.svg')", examples=[]), 'id_emoji': FieldInfo(annotation=Union[Annotated[str, Len], NoneType], required=False), 'authors': FieldInfo(annotation=List[Author], required=True, metadata=[MinLen(min_length=1)]), 'attachments': FieldInfo(annotation=List[FileDescr], required=False, default_factory=list), 'cite': FieldInfo(annotation=List[CiteEntry], required=True, metadata=[MinLen(min_length=1)]), 'license': FieldInfo(annotation=Union[LicenseId, DeprecatedLicenseId], required=True, examples=['CC-BY-4.0', 'MIT', 'BSD-2-Clause'], metadata=[AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=30, msg='{value} is deprecated, see https://spdx.org/licenses/{value}.html', context={'typ': <class 'bioimageio.spec._internal.license_id.LicenseId'>})]), 'config': FieldInfo(annotation=Dict[str, YamlValue], required=False, default_factory=dict, examples=[{'bioimageio': {'my_custom_key': 3837283, 'another_key': {'nested': 'value'}}, 'imagej': {'macro_dir': 'path/to/macro/file'}}]), 'git_repo': FieldInfo(annotation=Union[HttpUrl, NoneType], required=False, examples=['https://github.com/bioimage-io/spec-bioimage-io/tree/main/example_descriptions/models/unet2d_nuclei_broad']), 'icon': FieldInfo(annotation=Union[Annotated[Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator, PlainSerializer], Annotated[str, Len], NoneType], required=False), 'links': FieldInfo(annotation=List[str], required=False, default_factory=list, examples=[('ilastik/ilastik', 'deepimagej/deepimagej', 'zero/notebook_u-net_3d_zerocostdl4mic')]), 'uploader': FieldInfo(annotation=Union[Uploader, NoneType], required=False), 'maintainers': FieldInfo(annotation=List[Maintainer], required=False, default_factory=list), 'tags': FieldInfo(annotation=List[str], required=False, default_factory=list, examples=[('unet2d', 'pytorch', 'nucleus', 'segmentation', 'dsb2018')]), 'version': FieldInfo(annotation=Union[Version, NoneType], required=False), 'version_number': FieldInfo(annotation=Union[int, NoneType], required=False)}"}, "bioimageio.spec.generic.v0_3.GenericModelDescrBase.model_computed_fields": {"fullname": "bioimageio.spec.generic.v0_3.GenericModelDescrBase.model_computed_fields", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "GenericModelDescrBase.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.generic.v0_3.GenericDescrBase": {"fullname": "bioimageio.spec.generic.v0_3.GenericDescrBase", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "GenericDescrBase", "kind": "class", "doc": "

Base for all resource descriptions except for the model descriptions

\n", "bases": "GenericModelDescrBase"}, "bioimageio.spec.generic.v0_3.GenericDescrBase.format_version": {"fullname": "bioimageio.spec.generic.v0_3.GenericDescrBase.format_version", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "GenericDescrBase.format_version", "kind": "variable", "doc": "

The format version of this resource specification

\n", "annotation": ": Literal['0.3.0']"}, "bioimageio.spec.generic.v0_3.GenericDescrBase.documentation": {"fullname": "bioimageio.spec.generic.v0_3.GenericDescrBase.documentation", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "GenericDescrBase.documentation", "kind": "variable", "doc": "

\u2208\ud83d\udce6 URL or relative path to a markdown file with additional documentation.\nThe recommended documentation file name is README.md. An .md suffix is mandatory.

\n", "annotation": ": Annotated[Optional[Annotated[Union[Annotated[pathlib.Path, PathType(path_type='file'), Predicate(func=<function PurePath.is_absolute at 0x7f4545045940>)], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl], AfterValidator(func=<function _validate_md_suffix at 0x7f4541bcade0>), PlainSerializer(func=<function _package at 0x7f4541d118a0>, return_type=PydanticUndefined, when_used='unless-none')]], FieldInfo(annotation=NoneType, required=True, examples=['https://raw.githubusercontent.com/bioimage-io/spec-bioimage-io/main/example_descriptions/models/unet2d_nuclei_broad/README.md', 'README.md'])]"}, "bioimageio.spec.generic.v0_3.GenericDescrBase.badges": {"fullname": "bioimageio.spec.generic.v0_3.GenericDescrBase.badges", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "GenericDescrBase.badges", "kind": "variable", "doc": "

badges associated with this resource

\n", "annotation": ": List[bioimageio.spec.generic.v0_2.BadgeDescr]"}, "bioimageio.spec.generic.v0_3.GenericDescrBase.implemented_format_version": {"fullname": "bioimageio.spec.generic.v0_3.GenericDescrBase.implemented_format_version", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "GenericDescrBase.implemented_format_version", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[str]", "default_value": "'0.3.0'"}, "bioimageio.spec.generic.v0_3.GenericDescrBase.implemented_format_version_tuple": {"fullname": "bioimageio.spec.generic.v0_3.GenericDescrBase.implemented_format_version_tuple", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "GenericDescrBase.implemented_format_version_tuple", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[Tuple[int, int, int]]", "default_value": "(0, 3, 0)"}, "bioimageio.spec.generic.v0_3.GenericDescrBase.model_config": {"fullname": "bioimageio.spec.generic.v0_3.GenericDescrBase.model_config", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "GenericDescrBase.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.generic.v0_3.GenericDescrBase.model_fields": {"fullname": "bioimageio.spec.generic.v0_3.GenericDescrBase.model_fields", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "GenericDescrBase.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'name': FieldInfo(annotation=str, required=True, metadata=[MinLen(min_length=1), MaxLen(max_length=128)]), 'description': FieldInfo(annotation=str, required=True, metadata=[MaxLen(max_length=1024), AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=30, msg='Description longer than 512 characters.', context={'typ': typing.Annotated[typing.Any, MaxLen(max_length=512)]})]), 'covers': FieldInfo(annotation=List[Annotated[Union[HttpUrl, Annotated[Path, PathType, Predicate], RelativeFilePath], WithSuffix, PlainSerializer]], required=False, default_factory=list, description="Cover images. Please use an image smaller than 500KB and an aspect ratio width to height of 2:1 or 1:1.\\nThe supported image formats are: ('.gif', '.jpeg', '.jpg', '.png', '.svg')", examples=[]), 'id_emoji': FieldInfo(annotation=Union[Annotated[str, Len], NoneType], required=False), 'authors': FieldInfo(annotation=List[Author], required=True, metadata=[MinLen(min_length=1)]), 'attachments': FieldInfo(annotation=List[FileDescr], required=False, default_factory=list), 'cite': FieldInfo(annotation=List[CiteEntry], required=True, metadata=[MinLen(min_length=1)]), 'license': FieldInfo(annotation=Union[LicenseId, DeprecatedLicenseId], required=True, examples=['CC-BY-4.0', 'MIT', 'BSD-2-Clause'], metadata=[AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=30, msg='{value} is deprecated, see https://spdx.org/licenses/{value}.html', context={'typ': <class 'bioimageio.spec._internal.license_id.LicenseId'>})]), 'config': FieldInfo(annotation=Dict[str, YamlValue], required=False, default_factory=dict, examples=[{'bioimageio': {'my_custom_key': 3837283, 'another_key': {'nested': 'value'}}, 'imagej': {'macro_dir': 'path/to/macro/file'}}]), 'git_repo': FieldInfo(annotation=Union[HttpUrl, NoneType], required=False, examples=['https://github.com/bioimage-io/spec-bioimage-io/tree/main/example_descriptions/models/unet2d_nuclei_broad']), 'icon': FieldInfo(annotation=Union[Annotated[Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator, PlainSerializer], Annotated[str, Len], NoneType], required=False), 'links': FieldInfo(annotation=List[str], required=False, default_factory=list, examples=[('ilastik/ilastik', 'deepimagej/deepimagej', 'zero/notebook_u-net_3d_zerocostdl4mic')]), 'uploader': FieldInfo(annotation=Union[Uploader, NoneType], required=False), 'maintainers': FieldInfo(annotation=List[Maintainer], required=False, default_factory=list), 'tags': FieldInfo(annotation=List[str], required=False, default_factory=list, examples=[('unet2d', 'pytorch', 'nucleus', 'segmentation', 'dsb2018')]), 'version': FieldInfo(annotation=Union[Version, NoneType], required=False), 'version_number': FieldInfo(annotation=Union[int, NoneType], required=False), 'format_version': FieldInfo(annotation=Literal['0.3.0'], required=False, default='0.3.0'), 'documentation': FieldInfo(annotation=Union[Annotated[Union[Annotated[Path, PathType, Predicate], RelativeFilePath, HttpUrl], AfterValidator, PlainSerializer], NoneType], required=False, examples=['https://raw.githubusercontent.com/bioimage-io/spec-bioimage-io/main/example_descriptions/models/unet2d_nuclei_broad/README.md', 'README.md']), 'badges': FieldInfo(annotation=List[BadgeDescr], required=False, default_factory=list)}"}, "bioimageio.spec.generic.v0_3.GenericDescrBase.model_computed_fields": {"fullname": "bioimageio.spec.generic.v0_3.GenericDescrBase.model_computed_fields", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "GenericDescrBase.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.generic.v0_3.GenericDescr": {"fullname": "bioimageio.spec.generic.v0_3.GenericDescr", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "GenericDescr", "kind": "class", "doc": "

Specification of the fields used in a generic bioimage.io-compliant resource description file (RDF).

\n\n

An RDF is a YAML file that describes a resource such as a model, a dataset, or a notebook.\nNote that those resources are described with a type-specific RDF.\nUse this generic resource description, if none of the known specific types matches your resource.

\n", "bases": "GenericDescrBase"}, "bioimageio.spec.generic.v0_3.GenericDescr.type": {"fullname": "bioimageio.spec.generic.v0_3.GenericDescr.type", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "GenericDescr.type", "kind": "variable", "doc": "

The resource type assigns a broad category to the resource.

\n", "annotation": ": Annotated[str, Annotated[~_StrType, Predicate(func=<method 'islower' of 'str' objects>)]]"}, "bioimageio.spec.generic.v0_3.GenericDescr.id": {"fullname": "bioimageio.spec.generic.v0_3.GenericDescr.id", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "GenericDescr.id", "kind": "variable", "doc": "

Model zoo (bioimage.io) wide, unique identifier (assigned by bioimage.io)

\n", "annotation": ": Optional[bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]]]"}, "bioimageio.spec.generic.v0_3.GenericDescr.parent": {"fullname": "bioimageio.spec.generic.v0_3.GenericDescr.parent", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "GenericDescr.parent", "kind": "variable", "doc": "

The description from which this one is derived

\n", "annotation": ": Optional[bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]]]"}, "bioimageio.spec.generic.v0_3.GenericDescr.source": {"fullname": "bioimageio.spec.generic.v0_3.GenericDescr.source", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "GenericDescr.source", "kind": "variable", "doc": "

The primary source of the resource

\n", "annotation": ": Optional[bioimageio.spec._internal.url.HttpUrl]"}, "bioimageio.spec.generic.v0_3.GenericDescr.check_specific_types": {"fullname": "bioimageio.spec.generic.v0_3.GenericDescr.check_specific_types", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "GenericDescr.check_specific_types", "kind": "function", "doc": "

\n", "signature": "(cls, value: str) -> str:", "funcdef": "def"}, "bioimageio.spec.generic.v0_3.GenericDescr.implemented_format_version": {"fullname": "bioimageio.spec.generic.v0_3.GenericDescr.implemented_format_version", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "GenericDescr.implemented_format_version", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[str]", "default_value": "'0.3.0'"}, "bioimageio.spec.generic.v0_3.GenericDescr.implemented_format_version_tuple": {"fullname": "bioimageio.spec.generic.v0_3.GenericDescr.implemented_format_version_tuple", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "GenericDescr.implemented_format_version_tuple", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[Tuple[int, int, int]]", "default_value": "(0, 3, 0)"}, "bioimageio.spec.generic.v0_3.GenericDescr.model_config": {"fullname": "bioimageio.spec.generic.v0_3.GenericDescr.model_config", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "GenericDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'ignore', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True, 'title': 'bioimage.io generic specification'}"}, "bioimageio.spec.generic.v0_3.GenericDescr.model_fields": {"fullname": "bioimageio.spec.generic.v0_3.GenericDescr.model_fields", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "GenericDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'name': FieldInfo(annotation=str, required=True, metadata=[MinLen(min_length=1), MaxLen(max_length=128)]), 'description': FieldInfo(annotation=str, required=True, metadata=[MaxLen(max_length=1024), AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=30, msg='Description longer than 512 characters.', context={'typ': typing.Annotated[typing.Any, MaxLen(max_length=512)]})]), 'covers': FieldInfo(annotation=List[Annotated[Union[HttpUrl, Annotated[Path, PathType, Predicate], RelativeFilePath], WithSuffix, PlainSerializer]], required=False, default_factory=list, description="Cover images. Please use an image smaller than 500KB and an aspect ratio width to height of 2:1 or 1:1.\\nThe supported image formats are: ('.gif', '.jpeg', '.jpg', '.png', '.svg')", examples=[]), 'id_emoji': FieldInfo(annotation=Union[Annotated[str, Len], NoneType], required=False), 'authors': FieldInfo(annotation=List[Author], required=True, metadata=[MinLen(min_length=1)]), 'attachments': FieldInfo(annotation=List[FileDescr], required=False, default_factory=list), 'cite': FieldInfo(annotation=List[CiteEntry], required=True, metadata=[MinLen(min_length=1)]), 'license': FieldInfo(annotation=Union[LicenseId, DeprecatedLicenseId], required=True, examples=['CC-BY-4.0', 'MIT', 'BSD-2-Clause'], metadata=[AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=30, msg='{value} is deprecated, see https://spdx.org/licenses/{value}.html', context={'typ': <class 'bioimageio.spec._internal.license_id.LicenseId'>})]), 'config': FieldInfo(annotation=Dict[str, YamlValue], required=False, default_factory=dict, examples=[{'bioimageio': {'my_custom_key': 3837283, 'another_key': {'nested': 'value'}}, 'imagej': {'macro_dir': 'path/to/macro/file'}}]), 'git_repo': FieldInfo(annotation=Union[HttpUrl, NoneType], required=False, examples=['https://github.com/bioimage-io/spec-bioimage-io/tree/main/example_descriptions/models/unet2d_nuclei_broad']), 'icon': FieldInfo(annotation=Union[Annotated[Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator, PlainSerializer], Annotated[str, Len], NoneType], required=False), 'links': FieldInfo(annotation=List[str], required=False, default_factory=list, examples=[('ilastik/ilastik', 'deepimagej/deepimagej', 'zero/notebook_u-net_3d_zerocostdl4mic')]), 'uploader': FieldInfo(annotation=Union[Uploader, NoneType], required=False), 'maintainers': FieldInfo(annotation=List[Maintainer], required=False, default_factory=list), 'tags': FieldInfo(annotation=List[str], required=False, default_factory=list, examples=[('unet2d', 'pytorch', 'nucleus', 'segmentation', 'dsb2018')]), 'version': FieldInfo(annotation=Union[Version, NoneType], required=False), 'version_number': FieldInfo(annotation=Union[int, NoneType], required=False), 'format_version': FieldInfo(annotation=Literal['0.3.0'], required=False, default='0.3.0'), 'documentation': FieldInfo(annotation=Union[Annotated[Union[Annotated[Path, PathType, Predicate], RelativeFilePath, HttpUrl], AfterValidator, PlainSerializer], NoneType], required=False, examples=['https://raw.githubusercontent.com/bioimage-io/spec-bioimage-io/main/example_descriptions/models/unet2d_nuclei_broad/README.md', 'README.md']), 'badges': FieldInfo(annotation=List[BadgeDescr], required=False, default_factory=list), 'type': FieldInfo(annotation=str, required=False, default='generic', frozen=True, metadata=[typing.Annotated[~_StrType, Predicate(func=<method 'islower' of 'str' objects>)]]), 'id': FieldInfo(annotation=Union[ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]], NoneType], required=False), 'parent': FieldInfo(annotation=Union[ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]], NoneType], required=False), 'source': FieldInfo(annotation=Union[HttpUrl, NoneType], required=False)}"}, "bioimageio.spec.generic.v0_3.GenericDescr.model_computed_fields": {"fullname": "bioimageio.spec.generic.v0_3.GenericDescr.model_computed_fields", "modulename": "bioimageio.spec.generic.v0_3", "qualname": "GenericDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model": {"fullname": "bioimageio.spec.model", "modulename": "bioimageio.spec.model", "kind": "module", "doc": "

implementaions of all released minor versions are available in submodules:

\n\n\n"}, "bioimageio.spec.model.AnyModelDescr": {"fullname": "bioimageio.spec.model.AnyModelDescr", "modulename": "bioimageio.spec.model", "qualname": "AnyModelDescr", "kind": "variable", "doc": "

Union of any released model desription

\n", "default_value": "typing.Annotated[typing.Union[bioimageio.spec.model.v0_4.ModelDescr, bioimageio.spec.model.v0_5.ModelDescr], Discriminator(discriminator='format_version', custom_error_type=None, custom_error_message=None, custom_error_context=None)]"}, "bioimageio.spec.model.v0_4": {"fullname": "bioimageio.spec.model.v0_4", "modulename": "bioimageio.spec.model.v0_4", "kind": "module", "doc": "

\n"}, "bioimageio.spec.model.v0_4.AxesStr": {"fullname": "bioimageio.spec.model.v0_4.AxesStr", "modulename": "bioimageio.spec.model.v0_4", "qualname": "AxesStr", "kind": "variable", "doc": "

\n", "default_value": "typing.Annotated[str, RestrictCharacters(alphabet='bitczyx'), AfterValidator(func=<function validate_unique_entries>)]"}, "bioimageio.spec.model.v0_4.AxesInCZYX": {"fullname": "bioimageio.spec.model.v0_4.AxesInCZYX", "modulename": "bioimageio.spec.model.v0_4", "qualname": "AxesInCZYX", "kind": "variable", "doc": "

\n", "default_value": "typing.Annotated[str, RestrictCharacters(alphabet='czyx'), AfterValidator(func=<function validate_unique_entries>)]"}, "bioimageio.spec.model.v0_4.PostprocessingName": {"fullname": "bioimageio.spec.model.v0_4.PostprocessingName", "modulename": "bioimageio.spec.model.v0_4", "qualname": "PostprocessingName", "kind": "variable", "doc": "

\n", "default_value": "typing.Literal['binarize', 'clip', 'scale_linear', 'sigmoid', 'zero_mean_unit_variance', 'scale_range', 'scale_mean_variance']"}, "bioimageio.spec.model.v0_4.PreprocessingName": {"fullname": "bioimageio.spec.model.v0_4.PreprocessingName", "modulename": "bioimageio.spec.model.v0_4", "qualname": "PreprocessingName", "kind": "variable", "doc": "

\n", "default_value": "typing.Literal['binarize', 'clip', 'scale_linear', 'sigmoid', 'zero_mean_unit_variance', 'scale_range']"}, "bioimageio.spec.model.v0_4.TensorName": {"fullname": "bioimageio.spec.model.v0_4.TensorName", "modulename": "bioimageio.spec.model.v0_4", "qualname": "TensorName", "kind": "variable", "doc": "

\n", "default_value": "<class 'bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, AfterValidator, AfterValidator, Annotated[TypeVar, Predicate]]]'>"}, "bioimageio.spec.model.v0_4.CallableFromDepencency": {"fullname": "bioimageio.spec.model.v0_4.CallableFromDepencency", "modulename": "bioimageio.spec.model.v0_4", "qualname": "CallableFromDepencency", "kind": "class", "doc": "

deprecated! don't use for new spec fields!

\n", "bases": "bioimageio.spec._internal.common_nodes.StringNode"}, "bioimageio.spec.model.v0_4.CallableFromDepencency.module_name": {"fullname": "bioimageio.spec.model.v0_4.CallableFromDepencency.module_name", "modulename": "bioimageio.spec.model.v0_4", "qualname": "CallableFromDepencency.module_name", "kind": "variable", "doc": "

\n", "annotation": ": str"}, "bioimageio.spec.model.v0_4.CallableFromDepencency.check_submodules": {"fullname": "bioimageio.spec.model.v0_4.CallableFromDepencency.check_submodules", "modulename": "bioimageio.spec.model.v0_4", "qualname": "CallableFromDepencency.check_submodules", "kind": "function", "doc": "

\n", "signature": "(cls, module_name: str) -> str:", "funcdef": "def"}, "bioimageio.spec.model.v0_4.CallableFromDepencency.callable_name": {"fullname": "bioimageio.spec.model.v0_4.CallableFromDepencency.callable_name", "modulename": "bioimageio.spec.model.v0_4", "qualname": "CallableFromDepencency.callable_name", "kind": "variable", "doc": "

\n", "annotation": ": bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, AfterValidator, AfterValidator]]"}, "bioimageio.spec.model.v0_4.CallableFromFile": {"fullname": "bioimageio.spec.model.v0_4.CallableFromFile", "modulename": "bioimageio.spec.model.v0_4", "qualname": "CallableFromFile", "kind": "class", "doc": "

deprecated! don't use for new spec fields!

\n", "bases": "bioimageio.spec._internal.common_nodes.StringNode"}, "bioimageio.spec.model.v0_4.CallableFromFile.source_file": {"fullname": "bioimageio.spec.model.v0_4.CallableFromFile.source_file", "modulename": "bioimageio.spec.model.v0_4", "qualname": "CallableFromFile.source_file", "kind": "variable", "doc": "

\u2208\ud83d\udce6 Python module that implements callable_name

\n", "annotation": ": Annotated[Union[bioimageio.spec._internal.url.HttpUrl, bioimageio.spec._internal.io.RelativeFilePath], PlainSerializer(func=<function _package at 0x7f4541d118a0>, return_type=PydanticUndefined, when_used='unless-none')]"}, "bioimageio.spec.model.v0_4.CallableFromFile.callable_name": {"fullname": "bioimageio.spec.model.v0_4.CallableFromFile.callable_name", "modulename": "bioimageio.spec.model.v0_4", "qualname": "CallableFromFile.callable_name", "kind": "variable", "doc": "

The Python identifier of

\n", "annotation": ": bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, AfterValidator, AfterValidator]]"}, "bioimageio.spec.model.v0_4.CustomCallable": {"fullname": "bioimageio.spec.model.v0_4.CustomCallable", "modulename": "bioimageio.spec.model.v0_4", "qualname": "CustomCallable", "kind": "variable", "doc": "

\n", "default_value": "typing.Union[bioimageio.spec.model.v0_4.CallableFromFile, bioimageio.spec.model.v0_4.CallableFromDepencency]"}, "bioimageio.spec.model.v0_4.Dependencies": {"fullname": "bioimageio.spec.model.v0_4.Dependencies", "modulename": "bioimageio.spec.model.v0_4", "qualname": "Dependencies", "kind": "class", "doc": "

deprecated! don't use for new spec fields!

\n", "bases": "bioimageio.spec._internal.common_nodes.StringNode"}, "bioimageio.spec.model.v0_4.Dependencies.manager": {"fullname": "bioimageio.spec.model.v0_4.Dependencies.manager", "modulename": "bioimageio.spec.model.v0_4", "qualname": "Dependencies.manager", "kind": "variable", "doc": "

Dependency manager

\n", "annotation": ": Annotated[str, MinLen(min_length=1), FieldInfo(annotation=NoneType, required=True, examples=['conda', 'maven', 'pip'])]"}, "bioimageio.spec.model.v0_4.Dependencies.file": {"fullname": "bioimageio.spec.model.v0_4.Dependencies.file", "modulename": "bioimageio.spec.model.v0_4", "qualname": "Dependencies.file", "kind": "variable", "doc": "

\u2208\ud83d\udce6 Dependency file

\n", "annotation": ": Annotated[Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator(func=<function wo_special_file_name at 0x7f4541d10680>), PlainSerializer(func=<function _package at 0x7f4541d118a0>, return_type=PydanticUndefined, when_used='unless-none'), FieldInfo(annotation=NoneType, required=True, examples=['environment.yaml', 'pom.xml', 'requirements.txt'])]"}, "bioimageio.spec.model.v0_4.WeightsFormat": {"fullname": "bioimageio.spec.model.v0_4.WeightsFormat", "modulename": "bioimageio.spec.model.v0_4", "qualname": "WeightsFormat", "kind": "variable", "doc": "

\n", "default_value": "typing.Literal['keras_hdf5', 'onnx', 'pytorch_state_dict', 'tensorflow_js', 'tensorflow_saved_model_bundle', 'torchscript']"}, "bioimageio.spec.model.v0_4.WeightsDescr": {"fullname": "bioimageio.spec.model.v0_4.WeightsDescr", "modulename": "bioimageio.spec.model.v0_4", "qualname": "WeightsDescr", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "bioimageio.spec._internal.node.Node"}, "bioimageio.spec.model.v0_4.WeightsDescr.keras_hdf5": {"fullname": "bioimageio.spec.model.v0_4.WeightsDescr.keras_hdf5", "modulename": "bioimageio.spec.model.v0_4", "qualname": "WeightsDescr.keras_hdf5", "kind": "variable", "doc": "

\n", "annotation": ": Optional[bioimageio.spec.model.v0_4.KerasHdf5WeightsDescr]"}, "bioimageio.spec.model.v0_4.WeightsDescr.onnx": {"fullname": "bioimageio.spec.model.v0_4.WeightsDescr.onnx", "modulename": "bioimageio.spec.model.v0_4", "qualname": "WeightsDescr.onnx", "kind": "variable", "doc": "

\n", "annotation": ": Optional[bioimageio.spec.model.v0_4.OnnxWeightsDescr]"}, "bioimageio.spec.model.v0_4.WeightsDescr.pytorch_state_dict": {"fullname": "bioimageio.spec.model.v0_4.WeightsDescr.pytorch_state_dict", "modulename": "bioimageio.spec.model.v0_4", "qualname": "WeightsDescr.pytorch_state_dict", "kind": "variable", "doc": "

\n", "annotation": ": Optional[bioimageio.spec.model.v0_4.PytorchStateDictWeightsDescr]"}, "bioimageio.spec.model.v0_4.WeightsDescr.tensorflow_js": {"fullname": "bioimageio.spec.model.v0_4.WeightsDescr.tensorflow_js", "modulename": "bioimageio.spec.model.v0_4", "qualname": "WeightsDescr.tensorflow_js", "kind": "variable", "doc": "

\n", "annotation": ": Optional[bioimageio.spec.model.v0_4.TensorflowJsWeightsDescr]"}, "bioimageio.spec.model.v0_4.WeightsDescr.tensorflow_saved_model_bundle": {"fullname": "bioimageio.spec.model.v0_4.WeightsDescr.tensorflow_saved_model_bundle", "modulename": "bioimageio.spec.model.v0_4", "qualname": "WeightsDescr.tensorflow_saved_model_bundle", "kind": "variable", "doc": "

\n", "annotation": ": Optional[bioimageio.spec.model.v0_4.TensorflowSavedModelBundleWeightsDescr]"}, "bioimageio.spec.model.v0_4.WeightsDescr.torchscript": {"fullname": "bioimageio.spec.model.v0_4.WeightsDescr.torchscript", "modulename": "bioimageio.spec.model.v0_4", "qualname": "WeightsDescr.torchscript", "kind": "variable", "doc": "

\n", "annotation": ": Optional[bioimageio.spec.model.v0_4.TorchscriptWeightsDescr]"}, "bioimageio.spec.model.v0_4.WeightsDescr.check_one_entry": {"fullname": "bioimageio.spec.model.v0_4.WeightsDescr.check_one_entry", "modulename": "bioimageio.spec.model.v0_4", "qualname": "WeightsDescr.check_one_entry", "kind": "function", "doc": "

\n", "signature": "(self) -> Self:", "funcdef": "def"}, "bioimageio.spec.model.v0_4.WeightsDescr.model_config": {"fullname": "bioimageio.spec.model.v0_4.WeightsDescr.model_config", "modulename": "bioimageio.spec.model.v0_4", "qualname": "WeightsDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_4.WeightsDescr.model_fields": {"fullname": "bioimageio.spec.model.v0_4.WeightsDescr.model_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "WeightsDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'keras_hdf5': FieldInfo(annotation=Union[KerasHdf5WeightsDescr, NoneType], required=False), 'onnx': FieldInfo(annotation=Union[OnnxWeightsDescr, NoneType], required=False), 'pytorch_state_dict': FieldInfo(annotation=Union[PytorchStateDictWeightsDescr, NoneType], required=False), 'tensorflow_js': FieldInfo(annotation=Union[TensorflowJsWeightsDescr, NoneType], required=False), 'tensorflow_saved_model_bundle': FieldInfo(annotation=Union[TensorflowSavedModelBundleWeightsDescr, NoneType], required=False), 'torchscript': FieldInfo(annotation=Union[TorchscriptWeightsDescr, NoneType], required=False)}"}, "bioimageio.spec.model.v0_4.WeightsDescr.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_4.WeightsDescr.model_computed_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "WeightsDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_4.WeightsEntryDescrBase": {"fullname": "bioimageio.spec.model.v0_4.WeightsEntryDescrBase", "modulename": "bioimageio.spec.model.v0_4", "qualname": "WeightsEntryDescrBase", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "bioimageio.spec._internal.io.FileDescr"}, "bioimageio.spec.model.v0_4.WeightsEntryDescrBase.type": {"fullname": "bioimageio.spec.model.v0_4.WeightsEntryDescrBase.type", "modulename": "bioimageio.spec.model.v0_4", "qualname": "WeightsEntryDescrBase.type", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[Literal['keras_hdf5', 'onnx', 'pytorch_state_dict', 'tensorflow_js', 'tensorflow_saved_model_bundle', 'torchscript']]"}, "bioimageio.spec.model.v0_4.WeightsEntryDescrBase.weights_format_name": {"fullname": "bioimageio.spec.model.v0_4.WeightsEntryDescrBase.weights_format_name", "modulename": "bioimageio.spec.model.v0_4", "qualname": "WeightsEntryDescrBase.weights_format_name", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[str]"}, "bioimageio.spec.model.v0_4.WeightsEntryDescrBase.source": {"fullname": "bioimageio.spec.model.v0_4.WeightsEntryDescrBase.source", "modulename": "bioimageio.spec.model.v0_4", "qualname": "WeightsEntryDescrBase.source", "kind": "variable", "doc": "

\u2208\ud83d\udce6 The weights file.

\n", "annotation": ": Annotated[Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator(func=<function wo_special_file_name at 0x7f4541d10680>), PlainSerializer(func=<function _package at 0x7f4541d118a0>, return_type=PydanticUndefined, when_used='unless-none')]"}, "bioimageio.spec.model.v0_4.WeightsEntryDescrBase.attachments": {"fullname": "bioimageio.spec.model.v0_4.WeightsEntryDescrBase.attachments", "modulename": "bioimageio.spec.model.v0_4", "qualname": "WeightsEntryDescrBase.attachments", "kind": "variable", "doc": "

Attachments that are specific to this weights entry.

\n", "annotation": ": Annotated[Optional[bioimageio.spec.generic.v0_2.AttachmentsDescr], AfterWarner(func=<function as_warning.<locals>.wrapper at 0x7f4532d802c0>, severity=35, msg='Weights entry depends on additional attachments.', context={'typ': None})]"}, "bioimageio.spec.model.v0_4.WeightsEntryDescrBase.authors": {"fullname": "bioimageio.spec.model.v0_4.WeightsEntryDescrBase.authors", "modulename": "bioimageio.spec.model.v0_4", "qualname": "WeightsEntryDescrBase.authors", "kind": "variable", "doc": "

Authors\nEither the person(s) that have trained this model resulting in the original weights file.\n (If this is the initial weights entry, i.e. it does not have a parent)\nOr the person(s) who have converted the weights to this weights format.\n (If this is a child weight, i.e. it has a parent field)

\n", "annotation": ": Optional[List[bioimageio.spec.generic.v0_2.Author]]"}, "bioimageio.spec.model.v0_4.WeightsEntryDescrBase.dependencies": {"fullname": "bioimageio.spec.model.v0_4.WeightsEntryDescrBase.dependencies", "modulename": "bioimageio.spec.model.v0_4", "qualname": "WeightsEntryDescrBase.dependencies", "kind": "variable", "doc": "

Dependency manager and dependency file, specified as <dependency manager>:<relative file path>.

\n", "annotation": ": Annotated[Optional[bioimageio.spec.model.v0_4.Dependencies], AfterWarner(func=<function as_warning.<locals>.wrapper at 0x7f4532d822a0>, severity=30, msg='Custom dependencies ({value}) specified. Avoid this whenever possible to allow execution in a wider range of software environments.', context={'typ': None}), FieldInfo(annotation=NoneType, required=True, examples=['conda:environment.yaml', 'maven:./pom.xml', 'pip:./requirements.txt'])]"}, "bioimageio.spec.model.v0_4.WeightsEntryDescrBase.parent": {"fullname": "bioimageio.spec.model.v0_4.WeightsEntryDescrBase.parent", "modulename": "bioimageio.spec.model.v0_4", "qualname": "WeightsEntryDescrBase.parent", "kind": "variable", "doc": "

The source weights these weights were converted from.\nFor example, if a model's weights were converted from the pytorch_state_dict format to torchscript,\nThe pytorch_state_dict weights entry has no parent and is the parent of the torchscript weights.\nAll weight entries except one (the initial set of weights resulting from training the model),\nneed to have this field.

\n", "annotation": ": Annotated[Optional[Literal['keras_hdf5', 'onnx', 'pytorch_state_dict', 'tensorflow_js', 'tensorflow_saved_model_bundle', 'torchscript']], FieldInfo(annotation=NoneType, required=True, examples=['pytorch_state_dict'])]"}, "bioimageio.spec.model.v0_4.WeightsEntryDescrBase.check_parent_is_not_self": {"fullname": "bioimageio.spec.model.v0_4.WeightsEntryDescrBase.check_parent_is_not_self", "modulename": "bioimageio.spec.model.v0_4", "qualname": "WeightsEntryDescrBase.check_parent_is_not_self", "kind": "function", "doc": "

\n", "signature": "(self) -> Self:", "funcdef": "def"}, "bioimageio.spec.model.v0_4.WeightsEntryDescrBase.model_config": {"fullname": "bioimageio.spec.model.v0_4.WeightsEntryDescrBase.model_config", "modulename": "bioimageio.spec.model.v0_4", "qualname": "WeightsEntryDescrBase.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_4.WeightsEntryDescrBase.model_fields": {"fullname": "bioimageio.spec.model.v0_4.WeightsEntryDescrBase.model_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "WeightsEntryDescrBase.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'source': FieldInfo(annotation=Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], required=True, metadata=[AfterValidator(func=<function wo_special_file_name>), PlainSerializer(func=<function _package>, return_type=PydanticUndefined, when_used='unless-none')]), 'sha256': FieldInfo(annotation=Union[Sha256, NoneType], required=False), 'attachments': FieldInfo(annotation=Union[AttachmentsDescr, NoneType], required=False, metadata=[AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=35, msg='Weights entry depends on additional attachments.', context={'typ': None})]), 'authors': FieldInfo(annotation=Union[List[Author], NoneType], required=False), 'dependencies': FieldInfo(annotation=Union[Dependencies, NoneType], required=False, examples=['conda:environment.yaml', 'maven:./pom.xml', 'pip:./requirements.txt'], metadata=[AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=30, msg='Custom dependencies ({value}) specified. Avoid this whenever possible to allow execution in a wider range of software environments.', context={'typ': None})]), 'parent': FieldInfo(annotation=Union[Literal['keras_hdf5', 'onnx', 'pytorch_state_dict', 'tensorflow_js', 'tensorflow_saved_model_bundle', 'torchscript'], NoneType], required=False, examples=['pytorch_state_dict'])}"}, "bioimageio.spec.model.v0_4.WeightsEntryDescrBase.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_4.WeightsEntryDescrBase.model_computed_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "WeightsEntryDescrBase.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_4.KerasHdf5WeightsDescr": {"fullname": "bioimageio.spec.model.v0_4.KerasHdf5WeightsDescr", "modulename": "bioimageio.spec.model.v0_4", "qualname": "KerasHdf5WeightsDescr", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "WeightsEntryDescrBase"}, "bioimageio.spec.model.v0_4.KerasHdf5WeightsDescr.type": {"fullname": "bioimageio.spec.model.v0_4.KerasHdf5WeightsDescr.type", "modulename": "bioimageio.spec.model.v0_4", "qualname": "KerasHdf5WeightsDescr.type", "kind": "variable", "doc": "

\n", "default_value": "'keras_hdf5'"}, "bioimageio.spec.model.v0_4.KerasHdf5WeightsDescr.weights_format_name": {"fullname": "bioimageio.spec.model.v0_4.KerasHdf5WeightsDescr.weights_format_name", "modulename": "bioimageio.spec.model.v0_4", "qualname": "KerasHdf5WeightsDescr.weights_format_name", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[str]", "default_value": "'Keras HDF5'"}, "bioimageio.spec.model.v0_4.KerasHdf5WeightsDescr.tensorflow_version": {"fullname": "bioimageio.spec.model.v0_4.KerasHdf5WeightsDescr.tensorflow_version", "modulename": "bioimageio.spec.model.v0_4", "qualname": "KerasHdf5WeightsDescr.tensorflow_version", "kind": "variable", "doc": "

TensorFlow version used to create these weights

\n", "annotation": ": Optional[bioimageio.spec._internal.version_type.Version]"}, "bioimageio.spec.model.v0_4.KerasHdf5WeightsDescr.model_config": {"fullname": "bioimageio.spec.model.v0_4.KerasHdf5WeightsDescr.model_config", "modulename": "bioimageio.spec.model.v0_4", "qualname": "KerasHdf5WeightsDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_4.KerasHdf5WeightsDescr.model_fields": {"fullname": "bioimageio.spec.model.v0_4.KerasHdf5WeightsDescr.model_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "KerasHdf5WeightsDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'source': FieldInfo(annotation=Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], required=True, metadata=[AfterValidator(func=<function wo_special_file_name>), PlainSerializer(func=<function _package>, return_type=PydanticUndefined, when_used='unless-none')]), 'sha256': FieldInfo(annotation=Union[Sha256, NoneType], required=False), 'attachments': FieldInfo(annotation=Union[AttachmentsDescr, NoneType], required=False, metadata=[AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=35, msg='Weights entry depends on additional attachments.', context={'typ': None})]), 'authors': FieldInfo(annotation=Union[List[Author], NoneType], required=False), 'dependencies': FieldInfo(annotation=Union[Dependencies, NoneType], required=False, examples=['conda:environment.yaml', 'maven:./pom.xml', 'pip:./requirements.txt'], metadata=[AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=30, msg='Custom dependencies ({value}) specified. Avoid this whenever possible to allow execution in a wider range of software environments.', context={'typ': None})]), 'parent': FieldInfo(annotation=Union[Literal['keras_hdf5', 'onnx', 'pytorch_state_dict', 'tensorflow_js', 'tensorflow_saved_model_bundle', 'torchscript'], NoneType], required=False, examples=['pytorch_state_dict']), 'tensorflow_version': FieldInfo(annotation=Union[Version, NoneType], required=False)}"}, "bioimageio.spec.model.v0_4.KerasHdf5WeightsDescr.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_4.KerasHdf5WeightsDescr.model_computed_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "KerasHdf5WeightsDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_4.OnnxWeightsDescr": {"fullname": "bioimageio.spec.model.v0_4.OnnxWeightsDescr", "modulename": "bioimageio.spec.model.v0_4", "qualname": "OnnxWeightsDescr", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "WeightsEntryDescrBase"}, "bioimageio.spec.model.v0_4.OnnxWeightsDescr.type": {"fullname": "bioimageio.spec.model.v0_4.OnnxWeightsDescr.type", "modulename": "bioimageio.spec.model.v0_4", "qualname": "OnnxWeightsDescr.type", "kind": "variable", "doc": "

\n", "default_value": "'onnx'"}, "bioimageio.spec.model.v0_4.OnnxWeightsDescr.weights_format_name": {"fullname": "bioimageio.spec.model.v0_4.OnnxWeightsDescr.weights_format_name", "modulename": "bioimageio.spec.model.v0_4", "qualname": "OnnxWeightsDescr.weights_format_name", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[str]", "default_value": "'ONNX'"}, "bioimageio.spec.model.v0_4.OnnxWeightsDescr.opset_version": {"fullname": "bioimageio.spec.model.v0_4.OnnxWeightsDescr.opset_version", "modulename": "bioimageio.spec.model.v0_4", "qualname": "OnnxWeightsDescr.opset_version", "kind": "variable", "doc": "

ONNX opset version

\n", "annotation": ": Optional[Annotated[int, Ge(ge=7)]]"}, "bioimageio.spec.model.v0_4.OnnxWeightsDescr.model_config": {"fullname": "bioimageio.spec.model.v0_4.OnnxWeightsDescr.model_config", "modulename": "bioimageio.spec.model.v0_4", "qualname": "OnnxWeightsDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_4.OnnxWeightsDescr.model_fields": {"fullname": "bioimageio.spec.model.v0_4.OnnxWeightsDescr.model_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "OnnxWeightsDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'source': FieldInfo(annotation=Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], required=True, metadata=[AfterValidator(func=<function wo_special_file_name>), PlainSerializer(func=<function _package>, return_type=PydanticUndefined, when_used='unless-none')]), 'sha256': FieldInfo(annotation=Union[Sha256, NoneType], required=False), 'attachments': FieldInfo(annotation=Union[AttachmentsDescr, NoneType], required=False, metadata=[AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=35, msg='Weights entry depends on additional attachments.', context={'typ': None})]), 'authors': FieldInfo(annotation=Union[List[Author], NoneType], required=False), 'dependencies': FieldInfo(annotation=Union[Dependencies, NoneType], required=False, examples=['conda:environment.yaml', 'maven:./pom.xml', 'pip:./requirements.txt'], metadata=[AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=30, msg='Custom dependencies ({value}) specified. Avoid this whenever possible to allow execution in a wider range of software environments.', context={'typ': None})]), 'parent': FieldInfo(annotation=Union[Literal['keras_hdf5', 'onnx', 'pytorch_state_dict', 'tensorflow_js', 'tensorflow_saved_model_bundle', 'torchscript'], NoneType], required=False, examples=['pytorch_state_dict']), 'opset_version': FieldInfo(annotation=Union[Annotated[int, Ge], NoneType], required=False)}"}, "bioimageio.spec.model.v0_4.OnnxWeightsDescr.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_4.OnnxWeightsDescr.model_computed_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "OnnxWeightsDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_4.PytorchStateDictWeightsDescr": {"fullname": "bioimageio.spec.model.v0_4.PytorchStateDictWeightsDescr", "modulename": "bioimageio.spec.model.v0_4", "qualname": "PytorchStateDictWeightsDescr", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "WeightsEntryDescrBase"}, "bioimageio.spec.model.v0_4.PytorchStateDictWeightsDescr.type": {"fullname": "bioimageio.spec.model.v0_4.PytorchStateDictWeightsDescr.type", "modulename": "bioimageio.spec.model.v0_4", "qualname": "PytorchStateDictWeightsDescr.type", "kind": "variable", "doc": "

\n", "default_value": "'pytorch_state_dict'"}, "bioimageio.spec.model.v0_4.PytorchStateDictWeightsDescr.weights_format_name": {"fullname": "bioimageio.spec.model.v0_4.PytorchStateDictWeightsDescr.weights_format_name", "modulename": "bioimageio.spec.model.v0_4", "qualname": "PytorchStateDictWeightsDescr.weights_format_name", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[str]", "default_value": "'Pytorch State Dict'"}, "bioimageio.spec.model.v0_4.PytorchStateDictWeightsDescr.architecture": {"fullname": "bioimageio.spec.model.v0_4.PytorchStateDictWeightsDescr.architecture", "modulename": "bioimageio.spec.model.v0_4", "qualname": "PytorchStateDictWeightsDescr.architecture", "kind": "variable", "doc": "

callable returning a torch.nn.Module instance.\nLocal implementation: <relative path to file>:<identifier of implementation within the file>.\nImplementation in a dependency: <dependency-package>.<[dependency-module]>.<identifier>.

\n", "annotation": ": Union[bioimageio.spec.model.v0_4.CallableFromFile, bioimageio.spec.model.v0_4.CallableFromDepencency]"}, "bioimageio.spec.model.v0_4.PytorchStateDictWeightsDescr.architecture_sha256": {"fullname": "bioimageio.spec.model.v0_4.PytorchStateDictWeightsDescr.architecture_sha256", "modulename": "bioimageio.spec.model.v0_4", "qualname": "PytorchStateDictWeightsDescr.architecture_sha256", "kind": "variable", "doc": "

The SHA256 of the architecture source file,\nif the architecture is not defined in a module listed in dependencies

\n", "annotation": ": Annotated[Optional[bioimageio.spec._internal.io.Sha256], FieldInfo(annotation=NoneType, required=True, description="The SHA256 of the architecture source file, if the architecture is not defined in a module listed in `dependencies`\\nYou can drag and drop your file to this\\n[online tool](http://emn178.github.io/online-tools/sha256_checksum.html) to generate a SHA256 in your browser.\\nOr you can generate a SHA256 checksum with Python's `hashlib`,\\n[here is a codesnippet](https://gist.github.com/FynnBe/e64460463df89439cff218bbf59c1100).")]"}, "bioimageio.spec.model.v0_4.PytorchStateDictWeightsDescr.check_architecture_sha256": {"fullname": "bioimageio.spec.model.v0_4.PytorchStateDictWeightsDescr.check_architecture_sha256", "modulename": "bioimageio.spec.model.v0_4", "qualname": "PytorchStateDictWeightsDescr.check_architecture_sha256", "kind": "function", "doc": "

\n", "signature": "(self) -> Self:", "funcdef": "def"}, "bioimageio.spec.model.v0_4.PytorchStateDictWeightsDescr.kwargs": {"fullname": "bioimageio.spec.model.v0_4.PytorchStateDictWeightsDescr.kwargs", "modulename": "bioimageio.spec.model.v0_4", "qualname": "PytorchStateDictWeightsDescr.kwargs", "kind": "variable", "doc": "

key word arguments for the architecture callable

\n", "annotation": ": Dict[str, Any]"}, "bioimageio.spec.model.v0_4.PytorchStateDictWeightsDescr.pytorch_version": {"fullname": "bioimageio.spec.model.v0_4.PytorchStateDictWeightsDescr.pytorch_version", "modulename": "bioimageio.spec.model.v0_4", "qualname": "PytorchStateDictWeightsDescr.pytorch_version", "kind": "variable", "doc": "

Version of the PyTorch library used.\nIf depencencies is specified it should include pytorch and the verison has to match.\n(dependencies overrules pytorch_version)

\n", "annotation": ": Optional[bioimageio.spec._internal.version_type.Version]"}, "bioimageio.spec.model.v0_4.PytorchStateDictWeightsDescr.model_config": {"fullname": "bioimageio.spec.model.v0_4.PytorchStateDictWeightsDescr.model_config", "modulename": "bioimageio.spec.model.v0_4", "qualname": "PytorchStateDictWeightsDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_4.PytorchStateDictWeightsDescr.model_fields": {"fullname": "bioimageio.spec.model.v0_4.PytorchStateDictWeightsDescr.model_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "PytorchStateDictWeightsDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'source': FieldInfo(annotation=Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], required=True, metadata=[AfterValidator(func=<function wo_special_file_name>), PlainSerializer(func=<function _package>, return_type=PydanticUndefined, when_used='unless-none')]), 'sha256': FieldInfo(annotation=Union[Sha256, NoneType], required=False), 'attachments': FieldInfo(annotation=Union[AttachmentsDescr, NoneType], required=False, metadata=[AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=35, msg='Weights entry depends on additional attachments.', context={'typ': None})]), 'authors': FieldInfo(annotation=Union[List[Author], NoneType], required=False), 'dependencies': FieldInfo(annotation=Union[Dependencies, NoneType], required=False, examples=['conda:environment.yaml', 'maven:./pom.xml', 'pip:./requirements.txt'], metadata=[AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=30, msg='Custom dependencies ({value}) specified. Avoid this whenever possible to allow execution in a wider range of software environments.', context={'typ': None})]), 'parent': FieldInfo(annotation=Union[Literal['keras_hdf5', 'onnx', 'pytorch_state_dict', 'tensorflow_js', 'tensorflow_saved_model_bundle', 'torchscript'], NoneType], required=False, examples=['pytorch_state_dict']), 'architecture': FieldInfo(annotation=Union[CallableFromFile, CallableFromDepencency], required=True, examples=['my_function.py:MyNetworkClass', 'my_module.submodule.get_my_model']), 'architecture_sha256': FieldInfo(annotation=Union[Sha256, NoneType], required=False, description="The SHA256 of the architecture source file, if the architecture is not defined in a module listed in `dependencies`\\nYou can drag and drop your file to this\\n[online tool](http://emn178.github.io/online-tools/sha256_checksum.html) to generate a SHA256 in your browser.\\nOr you can generate a SHA256 checksum with Python's `hashlib`,\\n[here is a codesnippet](https://gist.github.com/FynnBe/e64460463df89439cff218bbf59c1100)."), 'kwargs': FieldInfo(annotation=Dict[str, Any], required=False, default_factory=dict), 'pytorch_version': FieldInfo(annotation=Union[Version, NoneType], required=False)}"}, "bioimageio.spec.model.v0_4.PytorchStateDictWeightsDescr.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_4.PytorchStateDictWeightsDescr.model_computed_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "PytorchStateDictWeightsDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_4.TorchscriptWeightsDescr": {"fullname": "bioimageio.spec.model.v0_4.TorchscriptWeightsDescr", "modulename": "bioimageio.spec.model.v0_4", "qualname": "TorchscriptWeightsDescr", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "WeightsEntryDescrBase"}, "bioimageio.spec.model.v0_4.TorchscriptWeightsDescr.type": {"fullname": "bioimageio.spec.model.v0_4.TorchscriptWeightsDescr.type", "modulename": "bioimageio.spec.model.v0_4", "qualname": "TorchscriptWeightsDescr.type", "kind": "variable", "doc": "

\n", "default_value": "'torchscript'"}, "bioimageio.spec.model.v0_4.TorchscriptWeightsDescr.weights_format_name": {"fullname": "bioimageio.spec.model.v0_4.TorchscriptWeightsDescr.weights_format_name", "modulename": "bioimageio.spec.model.v0_4", "qualname": "TorchscriptWeightsDescr.weights_format_name", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[str]", "default_value": "'TorchScript'"}, "bioimageio.spec.model.v0_4.TorchscriptWeightsDescr.pytorch_version": {"fullname": "bioimageio.spec.model.v0_4.TorchscriptWeightsDescr.pytorch_version", "modulename": "bioimageio.spec.model.v0_4", "qualname": "TorchscriptWeightsDescr.pytorch_version", "kind": "variable", "doc": "

Version of the PyTorch library used.

\n", "annotation": ": Optional[bioimageio.spec._internal.version_type.Version]"}, "bioimageio.spec.model.v0_4.TorchscriptWeightsDescr.model_config": {"fullname": "bioimageio.spec.model.v0_4.TorchscriptWeightsDescr.model_config", "modulename": "bioimageio.spec.model.v0_4", "qualname": "TorchscriptWeightsDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_4.TorchscriptWeightsDescr.model_fields": {"fullname": "bioimageio.spec.model.v0_4.TorchscriptWeightsDescr.model_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "TorchscriptWeightsDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'source': FieldInfo(annotation=Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], required=True, metadata=[AfterValidator(func=<function wo_special_file_name>), PlainSerializer(func=<function _package>, return_type=PydanticUndefined, when_used='unless-none')]), 'sha256': FieldInfo(annotation=Union[Sha256, NoneType], required=False), 'attachments': FieldInfo(annotation=Union[AttachmentsDescr, NoneType], required=False, metadata=[AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=35, msg='Weights entry depends on additional attachments.', context={'typ': None})]), 'authors': FieldInfo(annotation=Union[List[Author], NoneType], required=False), 'dependencies': FieldInfo(annotation=Union[Dependencies, NoneType], required=False, examples=['conda:environment.yaml', 'maven:./pom.xml', 'pip:./requirements.txt'], metadata=[AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=30, msg='Custom dependencies ({value}) specified. Avoid this whenever possible to allow execution in a wider range of software environments.', context={'typ': None})]), 'parent': FieldInfo(annotation=Union[Literal['keras_hdf5', 'onnx', 'pytorch_state_dict', 'tensorflow_js', 'tensorflow_saved_model_bundle', 'torchscript'], NoneType], required=False, examples=['pytorch_state_dict']), 'pytorch_version': FieldInfo(annotation=Union[Version, NoneType], required=False)}"}, "bioimageio.spec.model.v0_4.TorchscriptWeightsDescr.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_4.TorchscriptWeightsDescr.model_computed_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "TorchscriptWeightsDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_4.TensorflowJsWeightsDescr": {"fullname": "bioimageio.spec.model.v0_4.TensorflowJsWeightsDescr", "modulename": "bioimageio.spec.model.v0_4", "qualname": "TensorflowJsWeightsDescr", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "WeightsEntryDescrBase"}, "bioimageio.spec.model.v0_4.TensorflowJsWeightsDescr.type": {"fullname": "bioimageio.spec.model.v0_4.TensorflowJsWeightsDescr.type", "modulename": "bioimageio.spec.model.v0_4", "qualname": "TensorflowJsWeightsDescr.type", "kind": "variable", "doc": "

\n", "default_value": "'tensorflow_js'"}, "bioimageio.spec.model.v0_4.TensorflowJsWeightsDescr.weights_format_name": {"fullname": "bioimageio.spec.model.v0_4.TensorflowJsWeightsDescr.weights_format_name", "modulename": "bioimageio.spec.model.v0_4", "qualname": "TensorflowJsWeightsDescr.weights_format_name", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[str]", "default_value": "'Tensorflow.js'"}, "bioimageio.spec.model.v0_4.TensorflowJsWeightsDescr.tensorflow_version": {"fullname": "bioimageio.spec.model.v0_4.TensorflowJsWeightsDescr.tensorflow_version", "modulename": "bioimageio.spec.model.v0_4", "qualname": "TensorflowJsWeightsDescr.tensorflow_version", "kind": "variable", "doc": "

Version of the TensorFlow library used.

\n", "annotation": ": Optional[bioimageio.spec._internal.version_type.Version]"}, "bioimageio.spec.model.v0_4.TensorflowJsWeightsDescr.source": {"fullname": "bioimageio.spec.model.v0_4.TensorflowJsWeightsDescr.source", "modulename": "bioimageio.spec.model.v0_4", "qualname": "TensorflowJsWeightsDescr.source", "kind": "variable", "doc": "

\u2208\ud83d\udce6 The multi-file weights.\nAll required files/folders should be a zip archive.

\n", "annotation": ": Annotated[Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator(func=<function wo_special_file_name at 0x7f4541d10680>), PlainSerializer(func=<function _package at 0x7f4541d118a0>, return_type=PydanticUndefined, when_used='unless-none')]"}, "bioimageio.spec.model.v0_4.TensorflowJsWeightsDescr.model_config": {"fullname": "bioimageio.spec.model.v0_4.TensorflowJsWeightsDescr.model_config", "modulename": "bioimageio.spec.model.v0_4", "qualname": "TensorflowJsWeightsDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_4.TensorflowJsWeightsDescr.model_fields": {"fullname": "bioimageio.spec.model.v0_4.TensorflowJsWeightsDescr.model_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "TensorflowJsWeightsDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'source': FieldInfo(annotation=Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], required=True, metadata=[AfterValidator(func=<function wo_special_file_name>), PlainSerializer(func=<function _package>, return_type=PydanticUndefined, when_used='unless-none')]), 'sha256': FieldInfo(annotation=Union[Sha256, NoneType], required=False), 'attachments': FieldInfo(annotation=Union[AttachmentsDescr, NoneType], required=False, metadata=[AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=35, msg='Weights entry depends on additional attachments.', context={'typ': None})]), 'authors': FieldInfo(annotation=Union[List[Author], NoneType], required=False), 'dependencies': FieldInfo(annotation=Union[Dependencies, NoneType], required=False, examples=['conda:environment.yaml', 'maven:./pom.xml', 'pip:./requirements.txt'], metadata=[AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=30, msg='Custom dependencies ({value}) specified. Avoid this whenever possible to allow execution in a wider range of software environments.', context={'typ': None})]), 'parent': FieldInfo(annotation=Union[Literal['keras_hdf5', 'onnx', 'pytorch_state_dict', 'tensorflow_js', 'tensorflow_saved_model_bundle', 'torchscript'], NoneType], required=False, examples=['pytorch_state_dict']), 'tensorflow_version': FieldInfo(annotation=Union[Version, NoneType], required=False)}"}, "bioimageio.spec.model.v0_4.TensorflowJsWeightsDescr.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_4.TensorflowJsWeightsDescr.model_computed_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "TensorflowJsWeightsDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_4.TensorflowSavedModelBundleWeightsDescr": {"fullname": "bioimageio.spec.model.v0_4.TensorflowSavedModelBundleWeightsDescr", "modulename": "bioimageio.spec.model.v0_4", "qualname": "TensorflowSavedModelBundleWeightsDescr", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "WeightsEntryDescrBase"}, "bioimageio.spec.model.v0_4.TensorflowSavedModelBundleWeightsDescr.type": {"fullname": "bioimageio.spec.model.v0_4.TensorflowSavedModelBundleWeightsDescr.type", "modulename": "bioimageio.spec.model.v0_4", "qualname": "TensorflowSavedModelBundleWeightsDescr.type", "kind": "variable", "doc": "

\n", "default_value": "'tensorflow_saved_model_bundle'"}, "bioimageio.spec.model.v0_4.TensorflowSavedModelBundleWeightsDescr.weights_format_name": {"fullname": "bioimageio.spec.model.v0_4.TensorflowSavedModelBundleWeightsDescr.weights_format_name", "modulename": "bioimageio.spec.model.v0_4", "qualname": "TensorflowSavedModelBundleWeightsDescr.weights_format_name", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[str]", "default_value": "'Tensorflow Saved Model'"}, "bioimageio.spec.model.v0_4.TensorflowSavedModelBundleWeightsDescr.tensorflow_version": {"fullname": "bioimageio.spec.model.v0_4.TensorflowSavedModelBundleWeightsDescr.tensorflow_version", "modulename": "bioimageio.spec.model.v0_4", "qualname": "TensorflowSavedModelBundleWeightsDescr.tensorflow_version", "kind": "variable", "doc": "

Version of the TensorFlow library used.

\n", "annotation": ": Optional[bioimageio.spec._internal.version_type.Version]"}, "bioimageio.spec.model.v0_4.TensorflowSavedModelBundleWeightsDescr.model_config": {"fullname": "bioimageio.spec.model.v0_4.TensorflowSavedModelBundleWeightsDescr.model_config", "modulename": "bioimageio.spec.model.v0_4", "qualname": "TensorflowSavedModelBundleWeightsDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_4.TensorflowSavedModelBundleWeightsDescr.model_fields": {"fullname": "bioimageio.spec.model.v0_4.TensorflowSavedModelBundleWeightsDescr.model_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "TensorflowSavedModelBundleWeightsDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'source': FieldInfo(annotation=Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], required=True, metadata=[AfterValidator(func=<function wo_special_file_name>), PlainSerializer(func=<function _package>, return_type=PydanticUndefined, when_used='unless-none')]), 'sha256': FieldInfo(annotation=Union[Sha256, NoneType], required=False), 'attachments': FieldInfo(annotation=Union[AttachmentsDescr, NoneType], required=False, metadata=[AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=35, msg='Weights entry depends on additional attachments.', context={'typ': None})]), 'authors': FieldInfo(annotation=Union[List[Author], NoneType], required=False), 'dependencies': FieldInfo(annotation=Union[Dependencies, NoneType], required=False, examples=['conda:environment.yaml', 'maven:./pom.xml', 'pip:./requirements.txt'], metadata=[AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=30, msg='Custom dependencies ({value}) specified. Avoid this whenever possible to allow execution in a wider range of software environments.', context={'typ': None})]), 'parent': FieldInfo(annotation=Union[Literal['keras_hdf5', 'onnx', 'pytorch_state_dict', 'tensorflow_js', 'tensorflow_saved_model_bundle', 'torchscript'], NoneType], required=False, examples=['pytorch_state_dict']), 'tensorflow_version': FieldInfo(annotation=Union[Version, NoneType], required=False)}"}, "bioimageio.spec.model.v0_4.TensorflowSavedModelBundleWeightsDescr.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_4.TensorflowSavedModelBundleWeightsDescr.model_computed_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "TensorflowSavedModelBundleWeightsDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_4.ParameterizedInputShape": {"fullname": "bioimageio.spec.model.v0_4.ParameterizedInputShape", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ParameterizedInputShape", "kind": "class", "doc": "

A sequence of valid shapes given by shape_k = min + k * step for k in {0, 1, ...}.

\n", "bases": "bioimageio.spec._internal.node.Node"}, "bioimageio.spec.model.v0_4.ParameterizedInputShape.min": {"fullname": "bioimageio.spec.model.v0_4.ParameterizedInputShape.min", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ParameterizedInputShape.min", "kind": "variable", "doc": "

The minimum input shape

\n", "annotation": ": Annotated[List[int], MinLen(min_length=1)]"}, "bioimageio.spec.model.v0_4.ParameterizedInputShape.step": {"fullname": "bioimageio.spec.model.v0_4.ParameterizedInputShape.step", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ParameterizedInputShape.step", "kind": "variable", "doc": "

The minimum shape change

\n", "annotation": ": Annotated[List[int], MinLen(min_length=1)]"}, "bioimageio.spec.model.v0_4.ParameterizedInputShape.matching_lengths": {"fullname": "bioimageio.spec.model.v0_4.ParameterizedInputShape.matching_lengths", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ParameterizedInputShape.matching_lengths", "kind": "function", "doc": "

\n", "signature": "(self) -> Self:", "funcdef": "def"}, "bioimageio.spec.model.v0_4.ParameterizedInputShape.model_config": {"fullname": "bioimageio.spec.model.v0_4.ParameterizedInputShape.model_config", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ParameterizedInputShape.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_4.ParameterizedInputShape.model_fields": {"fullname": "bioimageio.spec.model.v0_4.ParameterizedInputShape.model_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ParameterizedInputShape.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'min': FieldInfo(annotation=List[int], required=True, metadata=[MinLen(min_length=1)]), 'step': FieldInfo(annotation=List[int], required=True, metadata=[MinLen(min_length=1)])}"}, "bioimageio.spec.model.v0_4.ParameterizedInputShape.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_4.ParameterizedInputShape.model_computed_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ParameterizedInputShape.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_4.ImplicitOutputShape": {"fullname": "bioimageio.spec.model.v0_4.ImplicitOutputShape", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ImplicitOutputShape", "kind": "class", "doc": "

Output tensor shape depending on an input tensor shape.\nshape(output_tensor) = shape(input_tensor) * scale + 2 * offset

\n", "bases": "bioimageio.spec._internal.node.Node"}, "bioimageio.spec.model.v0_4.ImplicitOutputShape.reference_tensor": {"fullname": "bioimageio.spec.model.v0_4.ImplicitOutputShape.reference_tensor", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ImplicitOutputShape.reference_tensor", "kind": "variable", "doc": "

Name of the reference tensor.

\n", "annotation": ": bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, AfterValidator, AfterValidator, Annotated[TypeVar, Predicate]]]"}, "bioimageio.spec.model.v0_4.ImplicitOutputShape.scale": {"fullname": "bioimageio.spec.model.v0_4.ImplicitOutputShape.scale", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ImplicitOutputShape.scale", "kind": "variable", "doc": "

output_pix/input_pix for each dimension.\n'null' values indicate new dimensions, whose length is defined by 2*offset

\n", "annotation": ": Annotated[List[Optional[float]], MinLen(min_length=1)]"}, "bioimageio.spec.model.v0_4.ImplicitOutputShape.offset": {"fullname": "bioimageio.spec.model.v0_4.ImplicitOutputShape.offset", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ImplicitOutputShape.offset", "kind": "variable", "doc": "

Position of origin wrt to input.

\n", "annotation": ": Annotated[List[Union[int, Annotated[float, MultipleOf(multiple_of=0.5)]]], MinLen(min_length=1)]"}, "bioimageio.spec.model.v0_4.ImplicitOutputShape.matching_lengths": {"fullname": "bioimageio.spec.model.v0_4.ImplicitOutputShape.matching_lengths", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ImplicitOutputShape.matching_lengths", "kind": "function", "doc": "

\n", "signature": "(self) -> Self:", "funcdef": "def"}, "bioimageio.spec.model.v0_4.ImplicitOutputShape.model_config": {"fullname": "bioimageio.spec.model.v0_4.ImplicitOutputShape.model_config", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ImplicitOutputShape.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_4.ImplicitOutputShape.model_fields": {"fullname": "bioimageio.spec.model.v0_4.ImplicitOutputShape.model_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ImplicitOutputShape.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'reference_tensor': FieldInfo(annotation=ValidatedString[Annotated[str, MinLen, AfterValidator, AfterValidator, Annotated[TypeVar, Predicate]]], required=True), 'scale': FieldInfo(annotation=List[Union[float, NoneType]], required=True, metadata=[MinLen(min_length=1)]), 'offset': FieldInfo(annotation=List[Union[int, Annotated[float, MultipleOf]]], required=True, metadata=[MinLen(min_length=1)])}"}, "bioimageio.spec.model.v0_4.ImplicitOutputShape.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_4.ImplicitOutputShape.model_computed_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ImplicitOutputShape.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_4.TensorDescrBase": {"fullname": "bioimageio.spec.model.v0_4.TensorDescrBase", "modulename": "bioimageio.spec.model.v0_4", "qualname": "TensorDescrBase", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "bioimageio.spec._internal.node.Node"}, "bioimageio.spec.model.v0_4.TensorDescrBase.name": {"fullname": "bioimageio.spec.model.v0_4.TensorDescrBase.name", "modulename": "bioimageio.spec.model.v0_4", "qualname": "TensorDescrBase.name", "kind": "variable", "doc": "

Tensor name. No duplicates are allowed.

\n", "annotation": ": bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, AfterValidator, AfterValidator, Annotated[TypeVar, Predicate]]]"}, "bioimageio.spec.model.v0_4.TensorDescrBase.description": {"fullname": "bioimageio.spec.model.v0_4.TensorDescrBase.description", "modulename": "bioimageio.spec.model.v0_4", "qualname": "TensorDescrBase.description", "kind": "variable", "doc": "

\n", "annotation": ": str"}, "bioimageio.spec.model.v0_4.TensorDescrBase.axes": {"fullname": "bioimageio.spec.model.v0_4.TensorDescrBase.axes", "modulename": "bioimageio.spec.model.v0_4", "qualname": "TensorDescrBase.axes", "kind": "variable", "doc": "

Axes identifying characters. Same length and order as the axes in shape.\n| axis | description |\n| --- | --- |\n| b | batch (groups multiple samples) |\n| i | instance/index/element |\n| t | time |\n| c | channel |\n| z | spatial dimension z |\n| y | spatial dimension y |\n| x | spatial dimension x |

\n", "annotation": ": Annotated[str, RestrictCharacters(alphabet='bitczyx'), AfterValidator(func=<function validate_unique_entries at 0x7f4541a5ccc0>)]"}, "bioimageio.spec.model.v0_4.TensorDescrBase.data_range": {"fullname": "bioimageio.spec.model.v0_4.TensorDescrBase.data_range", "modulename": "bioimageio.spec.model.v0_4", "qualname": "TensorDescrBase.data_range", "kind": "variable", "doc": "

Tuple (minimum, maximum) specifying the allowed range of the data in this tensor.\nIf not specified, the full data range that can be expressed in data_type is allowed.

\n", "annotation": ": Optional[Tuple[Annotated[float, AllowInfNan(allow_inf_nan=True)], Annotated[float, AllowInfNan(allow_inf_nan=True)]]]"}, "bioimageio.spec.model.v0_4.TensorDescrBase.model_config": {"fullname": "bioimageio.spec.model.v0_4.TensorDescrBase.model_config", "modulename": "bioimageio.spec.model.v0_4", "qualname": "TensorDescrBase.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_4.TensorDescrBase.model_fields": {"fullname": "bioimageio.spec.model.v0_4.TensorDescrBase.model_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "TensorDescrBase.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'name': FieldInfo(annotation=ValidatedString[Annotated[str, MinLen, AfterValidator, AfterValidator, Annotated[TypeVar, Predicate]]], required=True), 'description': FieldInfo(annotation=str, required=False, default=''), 'axes': FieldInfo(annotation=str, required=True, metadata=[RestrictCharacters(alphabet='bitczyx'), AfterValidator(func=<function validate_unique_entries>)]), 'data_range': FieldInfo(annotation=Union[Tuple[Annotated[float, AllowInfNan(allow_inf_nan=True)], Annotated[float, AllowInfNan(allow_inf_nan=True)]], NoneType], required=False)}"}, "bioimageio.spec.model.v0_4.TensorDescrBase.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_4.TensorDescrBase.model_computed_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "TensorDescrBase.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_4.ProcessingKwargs": {"fullname": "bioimageio.spec.model.v0_4.ProcessingKwargs", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ProcessingKwargs", "kind": "class", "doc": "

base class for pre-/postprocessing key word arguments

\n", "bases": "bioimageio.spec._internal.common_nodes.KwargsNode"}, "bioimageio.spec.model.v0_4.ProcessingKwargs.model_config": {"fullname": "bioimageio.spec.model.v0_4.ProcessingKwargs.model_config", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ProcessingKwargs.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_4.ProcessingKwargs.model_fields": {"fullname": "bioimageio.spec.model.v0_4.ProcessingKwargs.model_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ProcessingKwargs.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_4.ProcessingKwargs.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_4.ProcessingKwargs.model_computed_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ProcessingKwargs.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_4.ProcessingDescrBase": {"fullname": "bioimageio.spec.model.v0_4.ProcessingDescrBase", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ProcessingDescrBase", "kind": "class", "doc": "

processing base class

\n", "bases": "bioimageio.spec._internal.common_nodes.NodeWithExplicitlySetFields"}, "bioimageio.spec.model.v0_4.ProcessingDescrBase.fields_to_set_explicitly": {"fullname": "bioimageio.spec.model.v0_4.ProcessingDescrBase.fields_to_set_explicitly", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ProcessingDescrBase.fields_to_set_explicitly", "kind": "variable", "doc": "

set set these fields explicitly with their default value if they are not set,\nsuch that they are always included even when dumping with 'exlude_unset'

\n", "annotation": ": ClassVar[FrozenSet[LiteralString]]", "default_value": "frozenset({'name'})"}, "bioimageio.spec.model.v0_4.ProcessingDescrBase.model_config": {"fullname": "bioimageio.spec.model.v0_4.ProcessingDescrBase.model_config", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ProcessingDescrBase.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_4.ProcessingDescrBase.model_fields": {"fullname": "bioimageio.spec.model.v0_4.ProcessingDescrBase.model_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ProcessingDescrBase.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_4.ProcessingDescrBase.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_4.ProcessingDescrBase.model_computed_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ProcessingDescrBase.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_4.BinarizeKwargs": {"fullname": "bioimageio.spec.model.v0_4.BinarizeKwargs", "modulename": "bioimageio.spec.model.v0_4", "qualname": "BinarizeKwargs", "kind": "class", "doc": "

base class for pre-/postprocessing key word arguments

\n", "bases": "ProcessingKwargs"}, "bioimageio.spec.model.v0_4.BinarizeKwargs.threshold": {"fullname": "bioimageio.spec.model.v0_4.BinarizeKwargs.threshold", "modulename": "bioimageio.spec.model.v0_4", "qualname": "BinarizeKwargs.threshold", "kind": "variable", "doc": "

The fixed threshold

\n", "annotation": ": float"}, "bioimageio.spec.model.v0_4.BinarizeKwargs.model_config": {"fullname": "bioimageio.spec.model.v0_4.BinarizeKwargs.model_config", "modulename": "bioimageio.spec.model.v0_4", "qualname": "BinarizeKwargs.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_4.BinarizeKwargs.model_fields": {"fullname": "bioimageio.spec.model.v0_4.BinarizeKwargs.model_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "BinarizeKwargs.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'threshold': FieldInfo(annotation=float, required=True)}"}, "bioimageio.spec.model.v0_4.BinarizeKwargs.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_4.BinarizeKwargs.model_computed_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "BinarizeKwargs.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_4.BinarizeDescr": {"fullname": "bioimageio.spec.model.v0_4.BinarizeDescr", "modulename": "bioimageio.spec.model.v0_4", "qualname": "BinarizeDescr", "kind": "class", "doc": "

BinarizeDescr the tensor with a fixed threshold.\nValues above the threshold will be set to one, values below the threshold to zero.

\n", "bases": "ProcessingDescrBase"}, "bioimageio.spec.model.v0_4.BinarizeDescr.name": {"fullname": "bioimageio.spec.model.v0_4.BinarizeDescr.name", "modulename": "bioimageio.spec.model.v0_4", "qualname": "BinarizeDescr.name", "kind": "variable", "doc": "

\n", "annotation": ": Literal['binarize']"}, "bioimageio.spec.model.v0_4.BinarizeDescr.kwargs": {"fullname": "bioimageio.spec.model.v0_4.BinarizeDescr.kwargs", "modulename": "bioimageio.spec.model.v0_4", "qualname": "BinarizeDescr.kwargs", "kind": "variable", "doc": "

\n", "annotation": ": bioimageio.spec.model.v0_4.BinarizeKwargs"}, "bioimageio.spec.model.v0_4.BinarizeDescr.model_config": {"fullname": "bioimageio.spec.model.v0_4.BinarizeDescr.model_config", "modulename": "bioimageio.spec.model.v0_4", "qualname": "BinarizeDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_4.BinarizeDescr.model_fields": {"fullname": "bioimageio.spec.model.v0_4.BinarizeDescr.model_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "BinarizeDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'name': FieldInfo(annotation=Literal['binarize'], required=False, default='binarize'), 'kwargs': FieldInfo(annotation=BinarizeKwargs, required=True)}"}, "bioimageio.spec.model.v0_4.BinarizeDescr.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_4.BinarizeDescr.model_computed_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "BinarizeDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_4.ClipKwargs": {"fullname": "bioimageio.spec.model.v0_4.ClipKwargs", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ClipKwargs", "kind": "class", "doc": "

base class for pre-/postprocessing key word arguments

\n", "bases": "ProcessingKwargs"}, "bioimageio.spec.model.v0_4.ClipKwargs.min": {"fullname": "bioimageio.spec.model.v0_4.ClipKwargs.min", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ClipKwargs.min", "kind": "variable", "doc": "

minimum value for clipping

\n", "annotation": ": float"}, "bioimageio.spec.model.v0_4.ClipKwargs.max": {"fullname": "bioimageio.spec.model.v0_4.ClipKwargs.max", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ClipKwargs.max", "kind": "variable", "doc": "

maximum value for clipping

\n", "annotation": ": float"}, "bioimageio.spec.model.v0_4.ClipKwargs.model_config": {"fullname": "bioimageio.spec.model.v0_4.ClipKwargs.model_config", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ClipKwargs.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_4.ClipKwargs.model_fields": {"fullname": "bioimageio.spec.model.v0_4.ClipKwargs.model_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ClipKwargs.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'min': FieldInfo(annotation=float, required=True), 'max': FieldInfo(annotation=float, required=True)}"}, "bioimageio.spec.model.v0_4.ClipKwargs.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_4.ClipKwargs.model_computed_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ClipKwargs.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_4.ClipDescr": {"fullname": "bioimageio.spec.model.v0_4.ClipDescr", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ClipDescr", "kind": "class", "doc": "

Set tensor values below min to min and above max to max.

\n", "bases": "ProcessingDescrBase"}, "bioimageio.spec.model.v0_4.ClipDescr.name": {"fullname": "bioimageio.spec.model.v0_4.ClipDescr.name", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ClipDescr.name", "kind": "variable", "doc": "

\n", "annotation": ": Literal['clip']"}, "bioimageio.spec.model.v0_4.ClipDescr.kwargs": {"fullname": "bioimageio.spec.model.v0_4.ClipDescr.kwargs", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ClipDescr.kwargs", "kind": "variable", "doc": "

\n", "annotation": ": bioimageio.spec.model.v0_4.ClipKwargs"}, "bioimageio.spec.model.v0_4.ClipDescr.model_config": {"fullname": "bioimageio.spec.model.v0_4.ClipDescr.model_config", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ClipDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_4.ClipDescr.model_fields": {"fullname": "bioimageio.spec.model.v0_4.ClipDescr.model_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ClipDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'name': FieldInfo(annotation=Literal['clip'], required=False, default='clip'), 'kwargs': FieldInfo(annotation=ClipKwargs, required=True)}"}, "bioimageio.spec.model.v0_4.ClipDescr.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_4.ClipDescr.model_computed_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ClipDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_4.ScaleLinearKwargs": {"fullname": "bioimageio.spec.model.v0_4.ScaleLinearKwargs", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleLinearKwargs", "kind": "class", "doc": "

base class for pre-/postprocessing key word arguments

\n", "bases": "ProcessingKwargs"}, "bioimageio.spec.model.v0_4.ScaleLinearKwargs.axes": {"fullname": "bioimageio.spec.model.v0_4.ScaleLinearKwargs.axes", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleLinearKwargs.axes", "kind": "variable", "doc": "

The subset of axes to scale jointly.\nFor example xy to scale the two image axes for 2d data jointly.

\n", "annotation": ": Annotated[Optional[Annotated[str, RestrictCharacters(alphabet='czyx'), AfterValidator(func=<function validate_unique_entries at 0x7f4541a5ccc0>)]], FieldInfo(annotation=NoneType, required=True, examples=['xy'])]"}, "bioimageio.spec.model.v0_4.ScaleLinearKwargs.gain": {"fullname": "bioimageio.spec.model.v0_4.ScaleLinearKwargs.gain", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleLinearKwargs.gain", "kind": "variable", "doc": "

multiplicative factor

\n", "annotation": ": Union[float, List[float]]"}, "bioimageio.spec.model.v0_4.ScaleLinearKwargs.offset": {"fullname": "bioimageio.spec.model.v0_4.ScaleLinearKwargs.offset", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleLinearKwargs.offset", "kind": "variable", "doc": "

additive term

\n", "annotation": ": Union[float, List[float]]"}, "bioimageio.spec.model.v0_4.ScaleLinearKwargs.either_gain_or_offset": {"fullname": "bioimageio.spec.model.v0_4.ScaleLinearKwargs.either_gain_or_offset", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleLinearKwargs.either_gain_or_offset", "kind": "function", "doc": "

\n", "signature": "(self) -> Self:", "funcdef": "def"}, "bioimageio.spec.model.v0_4.ScaleLinearKwargs.model_config": {"fullname": "bioimageio.spec.model.v0_4.ScaleLinearKwargs.model_config", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleLinearKwargs.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_4.ScaleLinearKwargs.model_fields": {"fullname": "bioimageio.spec.model.v0_4.ScaleLinearKwargs.model_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleLinearKwargs.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'axes': FieldInfo(annotation=Union[Annotated[str, RestrictCharacters, AfterValidator], NoneType], required=False, examples=['xy']), 'gain': FieldInfo(annotation=Union[float, List[float]], required=False, default=1.0), 'offset': FieldInfo(annotation=Union[float, List[float]], required=False, default=0.0)}"}, "bioimageio.spec.model.v0_4.ScaleLinearKwargs.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_4.ScaleLinearKwargs.model_computed_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleLinearKwargs.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_4.ScaleLinearDescr": {"fullname": "bioimageio.spec.model.v0_4.ScaleLinearDescr", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleLinearDescr", "kind": "class", "doc": "

Fixed linear scaling.

\n", "bases": "ProcessingDescrBase"}, "bioimageio.spec.model.v0_4.ScaleLinearDescr.name": {"fullname": "bioimageio.spec.model.v0_4.ScaleLinearDescr.name", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleLinearDescr.name", "kind": "variable", "doc": "

\n", "annotation": ": Literal['scale_linear']"}, "bioimageio.spec.model.v0_4.ScaleLinearDescr.kwargs": {"fullname": "bioimageio.spec.model.v0_4.ScaleLinearDescr.kwargs", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleLinearDescr.kwargs", "kind": "variable", "doc": "

\n", "annotation": ": bioimageio.spec.model.v0_4.ScaleLinearKwargs"}, "bioimageio.spec.model.v0_4.ScaleLinearDescr.model_config": {"fullname": "bioimageio.spec.model.v0_4.ScaleLinearDescr.model_config", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleLinearDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_4.ScaleLinearDescr.model_fields": {"fullname": "bioimageio.spec.model.v0_4.ScaleLinearDescr.model_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleLinearDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'name': FieldInfo(annotation=Literal['scale_linear'], required=False, default='scale_linear'), 'kwargs': FieldInfo(annotation=ScaleLinearKwargs, required=True)}"}, "bioimageio.spec.model.v0_4.ScaleLinearDescr.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_4.ScaleLinearDescr.model_computed_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleLinearDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_4.SigmoidDescr": {"fullname": "bioimageio.spec.model.v0_4.SigmoidDescr", "modulename": "bioimageio.spec.model.v0_4", "qualname": "SigmoidDescr", "kind": "class", "doc": "

The logistic sigmoid funciton, a.k.a. expit function.

\n", "bases": "ProcessingDescrBase"}, "bioimageio.spec.model.v0_4.SigmoidDescr.name": {"fullname": "bioimageio.spec.model.v0_4.SigmoidDescr.name", "modulename": "bioimageio.spec.model.v0_4", "qualname": "SigmoidDescr.name", "kind": "variable", "doc": "

\n", "annotation": ": Literal['sigmoid']"}, "bioimageio.spec.model.v0_4.SigmoidDescr.kwargs": {"fullname": "bioimageio.spec.model.v0_4.SigmoidDescr.kwargs", "modulename": "bioimageio.spec.model.v0_4", "qualname": "SigmoidDescr.kwargs", "kind": "variable", "doc": "

empty kwargs

\n", "annotation": ": bioimageio.spec.model.v0_4.ProcessingKwargs"}, "bioimageio.spec.model.v0_4.SigmoidDescr.model_config": {"fullname": "bioimageio.spec.model.v0_4.SigmoidDescr.model_config", "modulename": "bioimageio.spec.model.v0_4", "qualname": "SigmoidDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_4.SigmoidDescr.model_fields": {"fullname": "bioimageio.spec.model.v0_4.SigmoidDescr.model_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "SigmoidDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'name': FieldInfo(annotation=Literal['sigmoid'], required=False, default='sigmoid')}"}, "bioimageio.spec.model.v0_4.SigmoidDescr.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_4.SigmoidDescr.model_computed_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "SigmoidDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_4.ZeroMeanUnitVarianceKwargs": {"fullname": "bioimageio.spec.model.v0_4.ZeroMeanUnitVarianceKwargs", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ZeroMeanUnitVarianceKwargs", "kind": "class", "doc": "

base class for pre-/postprocessing key word arguments

\n", "bases": "ProcessingKwargs"}, "bioimageio.spec.model.v0_4.ZeroMeanUnitVarianceKwargs.mode": {"fullname": "bioimageio.spec.model.v0_4.ZeroMeanUnitVarianceKwargs.mode", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ZeroMeanUnitVarianceKwargs.mode", "kind": "variable", "doc": "

Mode for computing mean and variance.\n| mode | description |\n| ----------- | ------------------------------------ |\n| fixed | Fixed values for mean and variance |\n| per_dataset | Compute for the entire dataset |\n| per_sample | Compute for each sample individually |

\n", "annotation": ": Literal['fixed', 'per_dataset', 'per_sample']"}, "bioimageio.spec.model.v0_4.ZeroMeanUnitVarianceKwargs.axes": {"fullname": "bioimageio.spec.model.v0_4.ZeroMeanUnitVarianceKwargs.axes", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ZeroMeanUnitVarianceKwargs.axes", "kind": "variable", "doc": "

The subset of axes to normalize jointly.\nFor example xy to normalize the two image axes for 2d data jointly.

\n", "annotation": ": Annotated[str, RestrictCharacters(alphabet='czyx'), AfterValidator(func=<function validate_unique_entries at 0x7f4541a5ccc0>), FieldInfo(annotation=NoneType, required=True, examples=['xy'])]"}, "bioimageio.spec.model.v0_4.ZeroMeanUnitVarianceKwargs.mean": {"fullname": "bioimageio.spec.model.v0_4.ZeroMeanUnitVarianceKwargs.mean", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ZeroMeanUnitVarianceKwargs.mean", "kind": "variable", "doc": "

The mean value(s) to use for mode: fixed.\nFor example [1.1, 2.2, 3.3] in the case of a 3 channel image with axes: xy.

\n", "annotation": ": Annotated[Union[float, Annotated[List[float], MinLen(min_length=1)], NoneType], FieldInfo(annotation=NoneType, required=True, examples=[(1.1, 2.2, 3.3)])]"}, "bioimageio.spec.model.v0_4.ZeroMeanUnitVarianceKwargs.std": {"fullname": "bioimageio.spec.model.v0_4.ZeroMeanUnitVarianceKwargs.std", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ZeroMeanUnitVarianceKwargs.std", "kind": "variable", "doc": "

The standard deviation values to use for mode: fixed. Analogous to mean.

\n", "annotation": ": Annotated[Union[float, Annotated[List[float], MinLen(min_length=1)], NoneType], FieldInfo(annotation=NoneType, required=True, examples=[(0.1, 0.2, 0.3)])]"}, "bioimageio.spec.model.v0_4.ZeroMeanUnitVarianceKwargs.eps": {"fullname": "bioimageio.spec.model.v0_4.ZeroMeanUnitVarianceKwargs.eps", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ZeroMeanUnitVarianceKwargs.eps", "kind": "variable", "doc": "

epsilon for numeric stability: out = (tensor - mean) / (std + eps).

\n", "annotation": ": Annotated[float, Interval(gt=0, ge=None, lt=None, le=0.1)]"}, "bioimageio.spec.model.v0_4.ZeroMeanUnitVarianceKwargs.mean_and_std_match_mode": {"fullname": "bioimageio.spec.model.v0_4.ZeroMeanUnitVarianceKwargs.mean_and_std_match_mode", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ZeroMeanUnitVarianceKwargs.mean_and_std_match_mode", "kind": "function", "doc": "

\n", "signature": "(self) -> Self:", "funcdef": "def"}, "bioimageio.spec.model.v0_4.ZeroMeanUnitVarianceKwargs.model_config": {"fullname": "bioimageio.spec.model.v0_4.ZeroMeanUnitVarianceKwargs.model_config", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ZeroMeanUnitVarianceKwargs.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_4.ZeroMeanUnitVarianceKwargs.model_fields": {"fullname": "bioimageio.spec.model.v0_4.ZeroMeanUnitVarianceKwargs.model_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ZeroMeanUnitVarianceKwargs.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'mode': FieldInfo(annotation=Literal['fixed', 'per_dataset', 'per_sample'], required=False, default='fixed'), 'axes': FieldInfo(annotation=str, required=True, examples=['xy'], metadata=[RestrictCharacters(alphabet='czyx'), AfterValidator(func=<function validate_unique_entries>)]), 'mean': FieldInfo(annotation=Union[float, Annotated[List[float], MinLen], NoneType], required=False, examples=[(1.1, 2.2, 3.3)]), 'std': FieldInfo(annotation=Union[float, Annotated[List[float], MinLen], NoneType], required=False, examples=[(0.1, 0.2, 0.3)]), 'eps': FieldInfo(annotation=float, required=False, default=1e-06, metadata=[Interval(gt=0, ge=None, lt=None, le=0.1)])}"}, "bioimageio.spec.model.v0_4.ZeroMeanUnitVarianceKwargs.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_4.ZeroMeanUnitVarianceKwargs.model_computed_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ZeroMeanUnitVarianceKwargs.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_4.ZeroMeanUnitVarianceDescr": {"fullname": "bioimageio.spec.model.v0_4.ZeroMeanUnitVarianceDescr", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ZeroMeanUnitVarianceDescr", "kind": "class", "doc": "

Subtract mean and divide by variance.

\n", "bases": "ProcessingDescrBase"}, "bioimageio.spec.model.v0_4.ZeroMeanUnitVarianceDescr.name": {"fullname": "bioimageio.spec.model.v0_4.ZeroMeanUnitVarianceDescr.name", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ZeroMeanUnitVarianceDescr.name", "kind": "variable", "doc": "

\n", "annotation": ": Literal['zero_mean_unit_variance']"}, "bioimageio.spec.model.v0_4.ZeroMeanUnitVarianceDescr.kwargs": {"fullname": "bioimageio.spec.model.v0_4.ZeroMeanUnitVarianceDescr.kwargs", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ZeroMeanUnitVarianceDescr.kwargs", "kind": "variable", "doc": "

\n", "annotation": ": bioimageio.spec.model.v0_4.ZeroMeanUnitVarianceKwargs"}, "bioimageio.spec.model.v0_4.ZeroMeanUnitVarianceDescr.model_config": {"fullname": "bioimageio.spec.model.v0_4.ZeroMeanUnitVarianceDescr.model_config", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ZeroMeanUnitVarianceDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_4.ZeroMeanUnitVarianceDescr.model_fields": {"fullname": "bioimageio.spec.model.v0_4.ZeroMeanUnitVarianceDescr.model_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ZeroMeanUnitVarianceDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'name': FieldInfo(annotation=Literal['zero_mean_unit_variance'], required=False, default='zero_mean_unit_variance'), 'kwargs': FieldInfo(annotation=ZeroMeanUnitVarianceKwargs, required=True)}"}, "bioimageio.spec.model.v0_4.ZeroMeanUnitVarianceDescr.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_4.ZeroMeanUnitVarianceDescr.model_computed_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ZeroMeanUnitVarianceDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_4.ScaleRangeKwargs": {"fullname": "bioimageio.spec.model.v0_4.ScaleRangeKwargs", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleRangeKwargs", "kind": "class", "doc": "

base class for pre-/postprocessing key word arguments

\n", "bases": "ProcessingKwargs"}, "bioimageio.spec.model.v0_4.ScaleRangeKwargs.mode": {"fullname": "bioimageio.spec.model.v0_4.ScaleRangeKwargs.mode", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleRangeKwargs.mode", "kind": "variable", "doc": "

Mode for computing percentiles.\n| mode | description |\n| ----------- | ------------------------------------ |\n| per_dataset | compute for the entire dataset |\n| per_sample | compute for each sample individually |

\n", "annotation": ": Literal['per_dataset', 'per_sample']"}, "bioimageio.spec.model.v0_4.ScaleRangeKwargs.axes": {"fullname": "bioimageio.spec.model.v0_4.ScaleRangeKwargs.axes", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleRangeKwargs.axes", "kind": "variable", "doc": "

The subset of axes to normalize jointly.\nFor example xy to normalize the two image axes for 2d data jointly.

\n", "annotation": ": Annotated[str, RestrictCharacters(alphabet='czyx'), AfterValidator(func=<function validate_unique_entries at 0x7f4541a5ccc0>), FieldInfo(annotation=NoneType, required=True, examples=['xy'])]"}, "bioimageio.spec.model.v0_4.ScaleRangeKwargs.min_percentile": {"fullname": "bioimageio.spec.model.v0_4.ScaleRangeKwargs.min_percentile", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleRangeKwargs.min_percentile", "kind": "variable", "doc": "

The lower percentile used for normalization.

\n", "annotation": ": Annotated[Union[int, float], Interval(gt=None, ge=0, lt=100, le=None)]"}, "bioimageio.spec.model.v0_4.ScaleRangeKwargs.max_percentile": {"fullname": "bioimageio.spec.model.v0_4.ScaleRangeKwargs.max_percentile", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleRangeKwargs.max_percentile", "kind": "variable", "doc": "

The upper percentile used for normalization\nHas to be bigger than min_percentile.\nThe range is 1 to 100 instead of 0 to 100 to avoid mistakenly\naccepting percentiles specified in the range 0.0 to 1.0.

\n", "annotation": ": Annotated[Union[int, float], Interval(gt=1, ge=None, lt=None, le=100)]"}, "bioimageio.spec.model.v0_4.ScaleRangeKwargs.min_smaller_max": {"fullname": "bioimageio.spec.model.v0_4.ScaleRangeKwargs.min_smaller_max", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleRangeKwargs.min_smaller_max", "kind": "function", "doc": "

\n", "signature": "(self, info: pydantic_core.core_schema.ValidationInfo) -> Self:", "funcdef": "def"}, "bioimageio.spec.model.v0_4.ScaleRangeKwargs.eps": {"fullname": "bioimageio.spec.model.v0_4.ScaleRangeKwargs.eps", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleRangeKwargs.eps", "kind": "variable", "doc": "

Epsilon for numeric stability.\nout = (tensor - v_lower) / (v_upper - v_lower + eps);\nwith v_lower,v_upper values at the respective percentiles.

\n", "annotation": ": Annotated[float, Interval(gt=0, ge=None, lt=None, le=0.1)]"}, "bioimageio.spec.model.v0_4.ScaleRangeKwargs.reference_tensor": {"fullname": "bioimageio.spec.model.v0_4.ScaleRangeKwargs.reference_tensor", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleRangeKwargs.reference_tensor", "kind": "variable", "doc": "

Tensor name to compute the percentiles from. Default: The tensor itself.\nFor any tensor in inputs only input tensor references are allowed.\nFor a tensor in outputs only input tensor refereences are allowed if mode: per_dataset

\n", "annotation": ": Optional[bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, AfterValidator, AfterValidator, Annotated[TypeVar, Predicate]]]]"}, "bioimageio.spec.model.v0_4.ScaleRangeKwargs.model_config": {"fullname": "bioimageio.spec.model.v0_4.ScaleRangeKwargs.model_config", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleRangeKwargs.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_4.ScaleRangeKwargs.model_fields": {"fullname": "bioimageio.spec.model.v0_4.ScaleRangeKwargs.model_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleRangeKwargs.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'mode': FieldInfo(annotation=Literal['per_dataset', 'per_sample'], required=True), 'axes': FieldInfo(annotation=str, required=True, examples=['xy'], metadata=[RestrictCharacters(alphabet='czyx'), AfterValidator(func=<function validate_unique_entries>)]), 'min_percentile': FieldInfo(annotation=Union[int, float], required=False, default=0.0, metadata=[Interval(gt=None, ge=0, lt=100, le=None)]), 'max_percentile': FieldInfo(annotation=Union[int, float], required=False, default=100.0, metadata=[Interval(gt=1, ge=None, lt=None, le=100)]), 'eps': FieldInfo(annotation=float, required=False, default=1e-06, metadata=[Interval(gt=0, ge=None, lt=None, le=0.1)]), 'reference_tensor': FieldInfo(annotation=Union[ValidatedString[Annotated[str, MinLen, AfterValidator, AfterValidator, Annotated[TypeVar, Predicate]]], NoneType], required=False)}"}, "bioimageio.spec.model.v0_4.ScaleRangeKwargs.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_4.ScaleRangeKwargs.model_computed_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleRangeKwargs.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_4.ScaleRangeDescr": {"fullname": "bioimageio.spec.model.v0_4.ScaleRangeDescr", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleRangeDescr", "kind": "class", "doc": "

Scale with percentiles.

\n", "bases": "ProcessingDescrBase"}, "bioimageio.spec.model.v0_4.ScaleRangeDescr.name": {"fullname": "bioimageio.spec.model.v0_4.ScaleRangeDescr.name", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleRangeDescr.name", "kind": "variable", "doc": "

\n", "annotation": ": Literal['scale_range']"}, "bioimageio.spec.model.v0_4.ScaleRangeDescr.kwargs": {"fullname": "bioimageio.spec.model.v0_4.ScaleRangeDescr.kwargs", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleRangeDescr.kwargs", "kind": "variable", "doc": "

\n", "annotation": ": bioimageio.spec.model.v0_4.ScaleRangeKwargs"}, "bioimageio.spec.model.v0_4.ScaleRangeDescr.model_config": {"fullname": "bioimageio.spec.model.v0_4.ScaleRangeDescr.model_config", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleRangeDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_4.ScaleRangeDescr.model_fields": {"fullname": "bioimageio.spec.model.v0_4.ScaleRangeDescr.model_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleRangeDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'name': FieldInfo(annotation=Literal['scale_range'], required=False, default='scale_range'), 'kwargs': FieldInfo(annotation=ScaleRangeKwargs, required=True)}"}, "bioimageio.spec.model.v0_4.ScaleRangeDescr.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_4.ScaleRangeDescr.model_computed_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleRangeDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_4.ScaleMeanVarianceKwargs": {"fullname": "bioimageio.spec.model.v0_4.ScaleMeanVarianceKwargs", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleMeanVarianceKwargs", "kind": "class", "doc": "

base class for pre-/postprocessing key word arguments

\n", "bases": "ProcessingKwargs"}, "bioimageio.spec.model.v0_4.ScaleMeanVarianceKwargs.mode": {"fullname": "bioimageio.spec.model.v0_4.ScaleMeanVarianceKwargs.mode", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleMeanVarianceKwargs.mode", "kind": "variable", "doc": "

Mode for computing mean and variance.\n| mode | description |\n| ----------- | ------------------------------------ |\n| per_dataset | Compute for the entire dataset |\n| per_sample | Compute for each sample individually |

\n", "annotation": ": Literal['per_dataset', 'per_sample']"}, "bioimageio.spec.model.v0_4.ScaleMeanVarianceKwargs.reference_tensor": {"fullname": "bioimageio.spec.model.v0_4.ScaleMeanVarianceKwargs.reference_tensor", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleMeanVarianceKwargs.reference_tensor", "kind": "variable", "doc": "

Name of tensor to match.

\n", "annotation": ": bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, AfterValidator, AfterValidator, Annotated[TypeVar, Predicate]]]"}, "bioimageio.spec.model.v0_4.ScaleMeanVarianceKwargs.axes": {"fullname": "bioimageio.spec.model.v0_4.ScaleMeanVarianceKwargs.axes", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleMeanVarianceKwargs.axes", "kind": "variable", "doc": "

The subset of axes to scale jointly.\nFor example xy to normalize the two image axes for 2d data jointly.\nDefault: scale all non-batch axes jointly.

\n", "annotation": ": Annotated[Optional[Annotated[str, RestrictCharacters(alphabet='czyx'), AfterValidator(func=<function validate_unique_entries at 0x7f4541a5ccc0>)]], FieldInfo(annotation=NoneType, required=True, examples=['xy'])]"}, "bioimageio.spec.model.v0_4.ScaleMeanVarianceKwargs.eps": {"fullname": "bioimageio.spec.model.v0_4.ScaleMeanVarianceKwargs.eps", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleMeanVarianceKwargs.eps", "kind": "variable", "doc": "

Epsilon for numeric stability:\n\"`out = (tensor - mean) / (std + eps) * (ref_std + eps) + ref_mean.

\n", "annotation": ": Annotated[float, Interval(gt=0, ge=None, lt=None, le=0.1)]"}, "bioimageio.spec.model.v0_4.ScaleMeanVarianceKwargs.model_config": {"fullname": "bioimageio.spec.model.v0_4.ScaleMeanVarianceKwargs.model_config", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleMeanVarianceKwargs.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_4.ScaleMeanVarianceKwargs.model_fields": {"fullname": "bioimageio.spec.model.v0_4.ScaleMeanVarianceKwargs.model_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleMeanVarianceKwargs.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'mode': FieldInfo(annotation=Literal['per_dataset', 'per_sample'], required=True), 'reference_tensor': FieldInfo(annotation=ValidatedString[Annotated[str, MinLen, AfterValidator, AfterValidator, Annotated[TypeVar, Predicate]]], required=True), 'axes': FieldInfo(annotation=Union[Annotated[str, RestrictCharacters, AfterValidator], NoneType], required=False, examples=['xy']), 'eps': FieldInfo(annotation=float, required=False, default=1e-06, metadata=[Interval(gt=0, ge=None, lt=None, le=0.1)])}"}, "bioimageio.spec.model.v0_4.ScaleMeanVarianceKwargs.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_4.ScaleMeanVarianceKwargs.model_computed_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleMeanVarianceKwargs.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_4.ScaleMeanVarianceDescr": {"fullname": "bioimageio.spec.model.v0_4.ScaleMeanVarianceDescr", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleMeanVarianceDescr", "kind": "class", "doc": "

Scale the tensor s.t. its mean and variance match a reference tensor.

\n", "bases": "ProcessingDescrBase"}, "bioimageio.spec.model.v0_4.ScaleMeanVarianceDescr.name": {"fullname": "bioimageio.spec.model.v0_4.ScaleMeanVarianceDescr.name", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleMeanVarianceDescr.name", "kind": "variable", "doc": "

\n", "annotation": ": Literal['scale_mean_variance']"}, "bioimageio.spec.model.v0_4.ScaleMeanVarianceDescr.kwargs": {"fullname": "bioimageio.spec.model.v0_4.ScaleMeanVarianceDescr.kwargs", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleMeanVarianceDescr.kwargs", "kind": "variable", "doc": "

\n", "annotation": ": bioimageio.spec.model.v0_4.ScaleMeanVarianceKwargs"}, "bioimageio.spec.model.v0_4.ScaleMeanVarianceDescr.model_config": {"fullname": "bioimageio.spec.model.v0_4.ScaleMeanVarianceDescr.model_config", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleMeanVarianceDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_4.ScaleMeanVarianceDescr.model_fields": {"fullname": "bioimageio.spec.model.v0_4.ScaleMeanVarianceDescr.model_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleMeanVarianceDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'name': FieldInfo(annotation=Literal['scale_mean_variance'], required=False, default='scale_mean_variance'), 'kwargs': FieldInfo(annotation=ScaleMeanVarianceKwargs, required=True)}"}, "bioimageio.spec.model.v0_4.ScaleMeanVarianceDescr.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_4.ScaleMeanVarianceDescr.model_computed_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ScaleMeanVarianceDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_4.PreprocessingDescr": {"fullname": "bioimageio.spec.model.v0_4.PreprocessingDescr", "modulename": "bioimageio.spec.model.v0_4", "qualname": "PreprocessingDescr", "kind": "variable", "doc": "

\n", "default_value": "typing.Annotated[typing.Union[bioimageio.spec.model.v0_4.BinarizeDescr, bioimageio.spec.model.v0_4.ClipDescr, bioimageio.spec.model.v0_4.ScaleLinearDescr, bioimageio.spec.model.v0_4.SigmoidDescr, bioimageio.spec.model.v0_4.ZeroMeanUnitVarianceDescr, bioimageio.spec.model.v0_4.ScaleRangeDescr], FieldInfo(annotation=NoneType, required=True, discriminator='name')]"}, "bioimageio.spec.model.v0_4.PostprocessingDescr": {"fullname": "bioimageio.spec.model.v0_4.PostprocessingDescr", "modulename": "bioimageio.spec.model.v0_4", "qualname": "PostprocessingDescr", "kind": "variable", "doc": "

\n", "default_value": "typing.Annotated[typing.Union[bioimageio.spec.model.v0_4.BinarizeDescr, bioimageio.spec.model.v0_4.ClipDescr, bioimageio.spec.model.v0_4.ScaleLinearDescr, bioimageio.spec.model.v0_4.SigmoidDescr, bioimageio.spec.model.v0_4.ZeroMeanUnitVarianceDescr, bioimageio.spec.model.v0_4.ScaleRangeDescr, bioimageio.spec.model.v0_4.ScaleMeanVarianceDescr], FieldInfo(annotation=NoneType, required=True, discriminator='name')]"}, "bioimageio.spec.model.v0_4.InputTensorDescr": {"fullname": "bioimageio.spec.model.v0_4.InputTensorDescr", "modulename": "bioimageio.spec.model.v0_4", "qualname": "InputTensorDescr", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "TensorDescrBase"}, "bioimageio.spec.model.v0_4.InputTensorDescr.data_type": {"fullname": "bioimageio.spec.model.v0_4.InputTensorDescr.data_type", "modulename": "bioimageio.spec.model.v0_4", "qualname": "InputTensorDescr.data_type", "kind": "variable", "doc": "

For now an input tensor is expected to be given as float32.\nThe data flow in bioimage.io models is explained\nin this diagram..

\n", "annotation": ": Literal['float32', 'uint8', 'uint16']"}, "bioimageio.spec.model.v0_4.InputTensorDescr.shape": {"fullname": "bioimageio.spec.model.v0_4.InputTensorDescr.shape", "modulename": "bioimageio.spec.model.v0_4", "qualname": "InputTensorDescr.shape", "kind": "variable", "doc": "

Specification of input tensor shape.

\n", "annotation": ": Annotated[Union[Sequence[int], bioimageio.spec.model.v0_4.ParameterizedInputShape], FieldInfo(annotation=NoneType, required=True, examples=[(1, 512, 512, 1), {'min': (1, 64, 64, 1), 'step': (0, 32, 32, 0)}])]"}, "bioimageio.spec.model.v0_4.InputTensorDescr.preprocessing": {"fullname": "bioimageio.spec.model.v0_4.InputTensorDescr.preprocessing", "modulename": "bioimageio.spec.model.v0_4", "qualname": "InputTensorDescr.preprocessing", "kind": "variable", "doc": "

Description of how this input should be preprocessed.

\n", "annotation": ": List[Annotated[Union[bioimageio.spec.model.v0_4.BinarizeDescr, bioimageio.spec.model.v0_4.ClipDescr, bioimageio.spec.model.v0_4.ScaleLinearDescr, bioimageio.spec.model.v0_4.SigmoidDescr, bioimageio.spec.model.v0_4.ZeroMeanUnitVarianceDescr, bioimageio.spec.model.v0_4.ScaleRangeDescr], FieldInfo(annotation=NoneType, required=True, discriminator='name')]]"}, "bioimageio.spec.model.v0_4.InputTensorDescr.zero_batch_step_and_one_batch_size": {"fullname": "bioimageio.spec.model.v0_4.InputTensorDescr.zero_batch_step_and_one_batch_size", "modulename": "bioimageio.spec.model.v0_4", "qualname": "InputTensorDescr.zero_batch_step_and_one_batch_size", "kind": "function", "doc": "

\n", "signature": "(self) -> Self:", "funcdef": "def"}, "bioimageio.spec.model.v0_4.InputTensorDescr.validate_preprocessing_kwargs": {"fullname": "bioimageio.spec.model.v0_4.InputTensorDescr.validate_preprocessing_kwargs", "modulename": "bioimageio.spec.model.v0_4", "qualname": "InputTensorDescr.validate_preprocessing_kwargs", "kind": "function", "doc": "

\n", "signature": "(self) -> Self:", "funcdef": "def"}, "bioimageio.spec.model.v0_4.InputTensorDescr.model_config": {"fullname": "bioimageio.spec.model.v0_4.InputTensorDescr.model_config", "modulename": "bioimageio.spec.model.v0_4", "qualname": "InputTensorDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_4.InputTensorDescr.model_fields": {"fullname": "bioimageio.spec.model.v0_4.InputTensorDescr.model_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "InputTensorDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'name': FieldInfo(annotation=ValidatedString[Annotated[str, MinLen, AfterValidator, AfterValidator, Annotated[TypeVar, Predicate]]], required=True), 'description': FieldInfo(annotation=str, required=False, default=''), 'axes': FieldInfo(annotation=str, required=True, metadata=[RestrictCharacters(alphabet='bitczyx'), AfterValidator(func=<function validate_unique_entries>)]), 'data_range': FieldInfo(annotation=Union[Tuple[Annotated[float, AllowInfNan(allow_inf_nan=True)], Annotated[float, AllowInfNan(allow_inf_nan=True)]], NoneType], required=False), 'data_type': FieldInfo(annotation=Literal['float32', 'uint8', 'uint16'], required=True), 'shape': FieldInfo(annotation=Union[Sequence[int], ParameterizedInputShape], required=True, examples=[(1, 512, 512, 1), {'min': (1, 64, 64, 1), 'step': (0, 32, 32, 0)}]), 'preprocessing': FieldInfo(annotation=List[Annotated[Union[BinarizeDescr, ClipDescr, ScaleLinearDescr, SigmoidDescr, ZeroMeanUnitVarianceDescr, ScaleRangeDescr], FieldInfo(annotation=NoneType, required=True, discriminator='name')]], required=False, default_factory=list)}"}, "bioimageio.spec.model.v0_4.InputTensorDescr.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_4.InputTensorDescr.model_computed_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "InputTensorDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_4.OutputTensorDescr": {"fullname": "bioimageio.spec.model.v0_4.OutputTensorDescr", "modulename": "bioimageio.spec.model.v0_4", "qualname": "OutputTensorDescr", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "TensorDescrBase"}, "bioimageio.spec.model.v0_4.OutputTensorDescr.data_type": {"fullname": "bioimageio.spec.model.v0_4.OutputTensorDescr.data_type", "modulename": "bioimageio.spec.model.v0_4", "qualname": "OutputTensorDescr.data_type", "kind": "variable", "doc": "

Data type.\nThe data flow in bioimage.io models is explained\nin this diagram..

\n", "annotation": ": Literal['float32', 'float64', 'uint8', 'int8', 'uint16', 'int16', 'uint32', 'int32', 'uint64', 'int64', 'bool']"}, "bioimageio.spec.model.v0_4.OutputTensorDescr.shape": {"fullname": "bioimageio.spec.model.v0_4.OutputTensorDescr.shape", "modulename": "bioimageio.spec.model.v0_4", "qualname": "OutputTensorDescr.shape", "kind": "variable", "doc": "

Output tensor shape.

\n", "annotation": ": Union[Sequence[int], bioimageio.spec.model.v0_4.ImplicitOutputShape]"}, "bioimageio.spec.model.v0_4.OutputTensorDescr.halo": {"fullname": "bioimageio.spec.model.v0_4.OutputTensorDescr.halo", "modulename": "bioimageio.spec.model.v0_4", "qualname": "OutputTensorDescr.halo", "kind": "variable", "doc": "

The halo that should be cropped from the output tensor to avoid boundary effects.\nThe halo is to be cropped from both sides, i.e. shape_after_crop = shape - 2 * halo.\nTo document a halo that is already cropped by the model shape.offset has to be used instead.

\n", "annotation": ": Optional[Sequence[int]]"}, "bioimageio.spec.model.v0_4.OutputTensorDescr.postprocessing": {"fullname": "bioimageio.spec.model.v0_4.OutputTensorDescr.postprocessing", "modulename": "bioimageio.spec.model.v0_4", "qualname": "OutputTensorDescr.postprocessing", "kind": "variable", "doc": "

Description of how this output should be postprocessed.

\n", "annotation": ": List[Annotated[Union[bioimageio.spec.model.v0_4.BinarizeDescr, bioimageio.spec.model.v0_4.ClipDescr, bioimageio.spec.model.v0_4.ScaleLinearDescr, bioimageio.spec.model.v0_4.SigmoidDescr, bioimageio.spec.model.v0_4.ZeroMeanUnitVarianceDescr, bioimageio.spec.model.v0_4.ScaleRangeDescr, bioimageio.spec.model.v0_4.ScaleMeanVarianceDescr], FieldInfo(annotation=NoneType, required=True, discriminator='name')]]"}, "bioimageio.spec.model.v0_4.OutputTensorDescr.matching_halo_length": {"fullname": "bioimageio.spec.model.v0_4.OutputTensorDescr.matching_halo_length", "modulename": "bioimageio.spec.model.v0_4", "qualname": "OutputTensorDescr.matching_halo_length", "kind": "function", "doc": "

\n", "signature": "(self) -> Self:", "funcdef": "def"}, "bioimageio.spec.model.v0_4.OutputTensorDescr.validate_postprocessing_kwargs": {"fullname": "bioimageio.spec.model.v0_4.OutputTensorDescr.validate_postprocessing_kwargs", "modulename": "bioimageio.spec.model.v0_4", "qualname": "OutputTensorDescr.validate_postprocessing_kwargs", "kind": "function", "doc": "

\n", "signature": "(self) -> Self:", "funcdef": "def"}, "bioimageio.spec.model.v0_4.OutputTensorDescr.model_config": {"fullname": "bioimageio.spec.model.v0_4.OutputTensorDescr.model_config", "modulename": "bioimageio.spec.model.v0_4", "qualname": "OutputTensorDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_4.OutputTensorDescr.model_fields": {"fullname": "bioimageio.spec.model.v0_4.OutputTensorDescr.model_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "OutputTensorDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'name': FieldInfo(annotation=ValidatedString[Annotated[str, MinLen, AfterValidator, AfterValidator, Annotated[TypeVar, Predicate]]], required=True), 'description': FieldInfo(annotation=str, required=False, default=''), 'axes': FieldInfo(annotation=str, required=True, metadata=[RestrictCharacters(alphabet='bitczyx'), AfterValidator(func=<function validate_unique_entries>)]), 'data_range': FieldInfo(annotation=Union[Tuple[Annotated[float, AllowInfNan(allow_inf_nan=True)], Annotated[float, AllowInfNan(allow_inf_nan=True)]], NoneType], required=False), 'data_type': FieldInfo(annotation=Literal['float32', 'float64', 'uint8', 'int8', 'uint16', 'int16', 'uint32', 'int32', 'uint64', 'int64', 'bool'], required=True), 'shape': FieldInfo(annotation=Union[Sequence[int], ImplicitOutputShape], required=True), 'halo': FieldInfo(annotation=Union[Sequence[int], NoneType], required=False), 'postprocessing': FieldInfo(annotation=List[Annotated[Union[BinarizeDescr, ClipDescr, ScaleLinearDescr, SigmoidDescr, ZeroMeanUnitVarianceDescr, ScaleRangeDescr, ScaleMeanVarianceDescr], FieldInfo(annotation=NoneType, required=True, discriminator='name')]], required=False, default_factory=list)}"}, "bioimageio.spec.model.v0_4.OutputTensorDescr.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_4.OutputTensorDescr.model_computed_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "OutputTensorDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_4.KnownRunMode": {"fullname": "bioimageio.spec.model.v0_4.KnownRunMode", "modulename": "bioimageio.spec.model.v0_4", "qualname": "KnownRunMode", "kind": "variable", "doc": "

\n", "default_value": "typing.Literal['deepimagej']"}, "bioimageio.spec.model.v0_4.RunMode": {"fullname": "bioimageio.spec.model.v0_4.RunMode", "modulename": "bioimageio.spec.model.v0_4", "qualname": "RunMode", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "bioimageio.spec._internal.node.Node"}, "bioimageio.spec.model.v0_4.RunMode.name": {"fullname": "bioimageio.spec.model.v0_4.RunMode.name", "modulename": "bioimageio.spec.model.v0_4", "qualname": "RunMode.name", "kind": "variable", "doc": "

Run mode name

\n", "annotation": ": Annotated[Union[Literal['deepimagej'], str], AfterWarner(func=<function as_warning.<locals>.wrapper at 0x7f45343a7600>, severity=30, msg="Unknown run mode '{value}'.", context={'typ': Literal['deepimagej']})]"}, "bioimageio.spec.model.v0_4.RunMode.kwargs": {"fullname": "bioimageio.spec.model.v0_4.RunMode.kwargs", "modulename": "bioimageio.spec.model.v0_4", "qualname": "RunMode.kwargs", "kind": "variable", "doc": "

Run mode specific key word arguments

\n", "annotation": ": Dict[str, Any]"}, "bioimageio.spec.model.v0_4.RunMode.model_config": {"fullname": "bioimageio.spec.model.v0_4.RunMode.model_config", "modulename": "bioimageio.spec.model.v0_4", "qualname": "RunMode.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_4.RunMode.model_fields": {"fullname": "bioimageio.spec.model.v0_4.RunMode.model_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "RunMode.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'name': FieldInfo(annotation=Union[Literal['deepimagej'], str], required=True, metadata=[AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=30, msg="Unknown run mode '{value}'.", context={'typ': typing.Literal['deepimagej']})]), 'kwargs': FieldInfo(annotation=Dict[str, Any], required=False, default_factory=dict)}"}, "bioimageio.spec.model.v0_4.RunMode.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_4.RunMode.model_computed_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "RunMode.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_4.LinkedModel": {"fullname": "bioimageio.spec.model.v0_4.LinkedModel", "modulename": "bioimageio.spec.model.v0_4", "qualname": "LinkedModel", "kind": "class", "doc": "

Reference to a bioimage.io model.

\n", "bases": "bioimageio.spec._internal.node.Node"}, "bioimageio.spec.model.v0_4.LinkedModel.id": {"fullname": "bioimageio.spec.model.v0_4.LinkedModel.id", "modulename": "bioimageio.spec.model.v0_4", "qualname": "LinkedModel.id", "kind": "variable", "doc": "

A valid model id from the bioimage.io collection.

\n", "annotation": ": bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]]"}, "bioimageio.spec.model.v0_4.LinkedModel.version_number": {"fullname": "bioimageio.spec.model.v0_4.LinkedModel.version_number", "modulename": "bioimageio.spec.model.v0_4", "qualname": "LinkedModel.version_number", "kind": "variable", "doc": "

version number (n-th published version, not the semantic version) of linked model

\n", "annotation": ": Optional[int]"}, "bioimageio.spec.model.v0_4.LinkedModel.model_config": {"fullname": "bioimageio.spec.model.v0_4.LinkedModel.model_config", "modulename": "bioimageio.spec.model.v0_4", "qualname": "LinkedModel.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_4.LinkedModel.model_fields": {"fullname": "bioimageio.spec.model.v0_4.LinkedModel.model_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "LinkedModel.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'id': FieldInfo(annotation=ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]], required=True), 'version_number': FieldInfo(annotation=Union[int, NoneType], required=False)}"}, "bioimageio.spec.model.v0_4.LinkedModel.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_4.LinkedModel.model_computed_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "LinkedModel.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_4.ModelDescr": {"fullname": "bioimageio.spec.model.v0_4.ModelDescr", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ModelDescr", "kind": "class", "doc": "

Specification of the fields used in a bioimage.io-compliant RDF that describes AI models with pretrained weights.

\n\n

These fields are typically stored in a YAML file which we call a model resource description file (model RDF).

\n", "bases": "bioimageio.spec.generic.v0_2.GenericModelDescrBase"}, "bioimageio.spec.model.v0_4.ModelDescr.format_version": {"fullname": "bioimageio.spec.model.v0_4.ModelDescr.format_version", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ModelDescr.format_version", "kind": "variable", "doc": "

Version of the bioimage.io model description specification used.\nWhen creating a new model always use the latest micro/patch version described here.\nThe format_version is important for any consumer software to understand how to parse the fields.

\n", "annotation": ": Literal['0.4.10']"}, "bioimageio.spec.model.v0_4.ModelDescr.type": {"fullname": "bioimageio.spec.model.v0_4.ModelDescr.type", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ModelDescr.type", "kind": "variable", "doc": "

Specialized resource type 'model'

\n", "annotation": ": Literal['model']"}, "bioimageio.spec.model.v0_4.ModelDescr.id": {"fullname": "bioimageio.spec.model.v0_4.ModelDescr.id", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ModelDescr.id", "kind": "variable", "doc": "

Model zoo (bioimage.io) wide, unique identifier (assigned by bioimage.io)

\n", "annotation": ": Optional[bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]]]"}, "bioimageio.spec.model.v0_4.ModelDescr.authors": {"fullname": "bioimageio.spec.model.v0_4.ModelDescr.authors", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ModelDescr.authors", "kind": "variable", "doc": "

The authors are the creators of the model RDF and the primary points of contact.

\n", "annotation": ": Annotated[List[bioimageio.spec.generic.v0_2.Author], MinLen(min_length=1)]"}, "bioimageio.spec.model.v0_4.ModelDescr.documentation": {"fullname": "bioimageio.spec.model.v0_4.ModelDescr.documentation", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ModelDescr.documentation", "kind": "variable", "doc": "

\u2208\ud83d\udce6 URL or relative path to a markdown file with additional documentation.\nThe recommended documentation file name is README.md. An .md suffix is mandatory.\nThe documentation should include a '[#[#]]# Validation' (sub)section\nwith details on how to quantitatively validate the model on unseen data.

\n", "annotation": ": Annotated[Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator(func=<function wo_special_file_name at 0x7f4541d10680>), PlainSerializer(func=<function _package at 0x7f4541d118a0>, return_type=PydanticUndefined, when_used='unless-none'), FieldInfo(annotation=NoneType, required=True, examples=['https://raw.githubusercontent.com/bioimage-io/spec-bioimage-io/main/example_descriptions/models/unet2d_nuclei_broad/README.md', 'README.md'])]"}, "bioimageio.spec.model.v0_4.ModelDescr.inputs": {"fullname": "bioimageio.spec.model.v0_4.ModelDescr.inputs", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ModelDescr.inputs", "kind": "variable", "doc": "

Describes the input tensors expected by this model.

\n", "annotation": ": Annotated[List[bioimageio.spec.model.v0_4.InputTensorDescr], MinLen(min_length=1)]"}, "bioimageio.spec.model.v0_4.ModelDescr.license": {"fullname": "bioimageio.spec.model.v0_4.ModelDescr.license", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ModelDescr.license", "kind": "variable", "doc": "

A SPDX license identifier.\nWe do notsupport custom license beyond the SPDX license list, if you need that please\nopen a GitHub issue to discuss your intentions with the community.

\n", "annotation": ": Annotated[Union[bioimageio.spec._internal.license_id.LicenseId, str], AfterWarner(func=<function as_warning.<locals>.wrapper at 0x7f45343a7420>, severity=30, msg="Unknown license id '{value}'.", context={'typ': <class 'bioimageio.spec._internal.license_id.LicenseId'>}), FieldInfo(annotation=NoneType, required=True, examples=['CC-BY-4.0', 'MIT', 'BSD-2-Clause'])]"}, "bioimageio.spec.model.v0_4.ModelDescr.name": {"fullname": "bioimageio.spec.model.v0_4.ModelDescr.name", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ModelDescr.name", "kind": "variable", "doc": "

A human-readable name of this model.\nIt should be no longer than 64 characters and only contain letter, number, underscore, minus or space characters.

\n", "annotation": ": Annotated[str, MinLen(min_length=1), AfterWarner(func=<function as_warning.<locals>.wrapper at 0x7f45343a77e0>, severity=20, msg='Name shorter than 5 characters.', context={'typ': Annotated[Any, MinLen(min_length=5)]}), AfterWarner(func=<function as_warning.<locals>.wrapper at 0x7f45342b87c0>, severity=20, msg='Name longer than 64 characters.', context={'typ': Annotated[Any, MaxLen(max_length=64)]})]"}, "bioimageio.spec.model.v0_4.ModelDescr.outputs": {"fullname": "bioimageio.spec.model.v0_4.ModelDescr.outputs", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ModelDescr.outputs", "kind": "variable", "doc": "

Describes the output tensors.

\n", "annotation": ": Annotated[List[bioimageio.spec.model.v0_4.OutputTensorDescr], MinLen(min_length=1)]"}, "bioimageio.spec.model.v0_4.ModelDescr.unique_tensor_descr_names": {"fullname": "bioimageio.spec.model.v0_4.ModelDescr.unique_tensor_descr_names", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ModelDescr.unique_tensor_descr_names", "kind": "function", "doc": "

\n", "signature": "(\tcls,\tvalue: Sequence[Union[bioimageio.spec.model.v0_4.InputTensorDescr, bioimageio.spec.model.v0_4.OutputTensorDescr]]) -> Sequence[Union[bioimageio.spec.model.v0_4.InputTensorDescr, bioimageio.spec.model.v0_4.OutputTensorDescr]]:", "funcdef": "def"}, "bioimageio.spec.model.v0_4.ModelDescr.unique_io_names": {"fullname": "bioimageio.spec.model.v0_4.ModelDescr.unique_io_names", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ModelDescr.unique_io_names", "kind": "function", "doc": "

\n", "signature": "(self) -> Self:", "funcdef": "def"}, "bioimageio.spec.model.v0_4.ModelDescr.minimum_shape2valid_output": {"fullname": "bioimageio.spec.model.v0_4.ModelDescr.minimum_shape2valid_output", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ModelDescr.minimum_shape2valid_output", "kind": "function", "doc": "

\n", "signature": "(self) -> Self:", "funcdef": "def"}, "bioimageio.spec.model.v0_4.ModelDescr.validate_tensor_references_in_inputs": {"fullname": "bioimageio.spec.model.v0_4.ModelDescr.validate_tensor_references_in_inputs", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ModelDescr.validate_tensor_references_in_inputs", "kind": "function", "doc": "

\n", "signature": "(self) -> Self:", "funcdef": "def"}, "bioimageio.spec.model.v0_4.ModelDescr.validate_tensor_references_in_outputs": {"fullname": "bioimageio.spec.model.v0_4.ModelDescr.validate_tensor_references_in_outputs", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ModelDescr.validate_tensor_references_in_outputs", "kind": "function", "doc": "

\n", "signature": "(self) -> Self:", "funcdef": "def"}, "bioimageio.spec.model.v0_4.ModelDescr.packaged_by": {"fullname": "bioimageio.spec.model.v0_4.ModelDescr.packaged_by", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ModelDescr.packaged_by", "kind": "variable", "doc": "

The persons that have packaged and uploaded this model.\nOnly required if those persons differ from the authors.

\n", "annotation": ": List[bioimageio.spec.generic.v0_2.Author]"}, "bioimageio.spec.model.v0_4.ModelDescr.parent": {"fullname": "bioimageio.spec.model.v0_4.ModelDescr.parent", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ModelDescr.parent", "kind": "variable", "doc": "

The model from which this model is derived, e.g. by fine-tuning the weights.

\n", "annotation": ": Optional[bioimageio.spec.model.v0_4.LinkedModel]"}, "bioimageio.spec.model.v0_4.ModelDescr.ignore_url_parent": {"fullname": "bioimageio.spec.model.v0_4.ModelDescr.ignore_url_parent", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ModelDescr.ignore_url_parent", "kind": "function", "doc": "

\n", "signature": "(cls, parent: Any):", "funcdef": "def"}, "bioimageio.spec.model.v0_4.ModelDescr.run_mode": {"fullname": "bioimageio.spec.model.v0_4.ModelDescr.run_mode", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ModelDescr.run_mode", "kind": "variable", "doc": "

Custom run mode for this model: for more complex prediction procedures like test time\ndata augmentation that currently cannot be expressed in the specification.\nNo standard run modes are defined yet.

\n", "annotation": ": Optional[bioimageio.spec.model.v0_4.RunMode]"}, "bioimageio.spec.model.v0_4.ModelDescr.sample_inputs": {"fullname": "bioimageio.spec.model.v0_4.ModelDescr.sample_inputs", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ModelDescr.sample_inputs", "kind": "variable", "doc": "

\u2208\ud83d\udce6 URLs/relative paths to sample inputs to illustrate possible inputs for the model,\nfor example stored as PNG or TIFF images.\nThe sample files primarily serve to inform a human user about an example use case

\n", "annotation": ": List[Annotated[Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator(func=<function wo_special_file_name at 0x7f4541d10680>), PlainSerializer(func=<function _package at 0x7f4541d118a0>, return_type=PydanticUndefined, when_used='unless-none')]]"}, "bioimageio.spec.model.v0_4.ModelDescr.sample_outputs": {"fullname": "bioimageio.spec.model.v0_4.ModelDescr.sample_outputs", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ModelDescr.sample_outputs", "kind": "variable", "doc": "

\u2208\ud83d\udce6 URLs/relative paths to sample outputs corresponding to the sample_inputs.

\n", "annotation": ": List[Annotated[Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator(func=<function wo_special_file_name at 0x7f4541d10680>), PlainSerializer(func=<function _package at 0x7f4541d118a0>, return_type=PydanticUndefined, when_used='unless-none')]]"}, "bioimageio.spec.model.v0_4.ModelDescr.test_inputs": {"fullname": "bioimageio.spec.model.v0_4.ModelDescr.test_inputs", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ModelDescr.test_inputs", "kind": "variable", "doc": "

\u2208\ud83d\udce6 Test input tensors compatible with the inputs description for a single test case.\nThis means if your model has more than one input, you should provide one URL/relative path for each input.\nEach test input should be a file with an ndarray in\nnumpy.lib file format.\nThe extension must be '.npy'.

\n", "annotation": ": Annotated[List[Annotated[Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator(func=<function wo_special_file_name at 0x7f4541d10680>), PlainSerializer(func=<function _package at 0x7f4541d118a0>, return_type=PydanticUndefined, when_used='unless-none'), WithSuffix(suffix='.npy', case_sensitive=True)]], MinLen(min_length=1)]"}, "bioimageio.spec.model.v0_4.ModelDescr.test_outputs": {"fullname": "bioimageio.spec.model.v0_4.ModelDescr.test_outputs", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ModelDescr.test_outputs", "kind": "variable", "doc": "

\u2208\ud83d\udce6 Analog to test_inputs.

\n", "annotation": ": Annotated[List[Annotated[Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator(func=<function wo_special_file_name at 0x7f4541d10680>), PlainSerializer(func=<function _package at 0x7f4541d118a0>, return_type=PydanticUndefined, when_used='unless-none'), WithSuffix(suffix='.npy', case_sensitive=True)]], MinLen(min_length=1)]"}, "bioimageio.spec.model.v0_4.ModelDescr.timestamp": {"fullname": "bioimageio.spec.model.v0_4.ModelDescr.timestamp", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ModelDescr.timestamp", "kind": "variable", "doc": "

Timestamp in ISO 8601 format\nwith a few restrictions listed here.

\n", "annotation": ": bioimageio.spec._internal.types.Datetime"}, "bioimageio.spec.model.v0_4.ModelDescr.training_data": {"fullname": "bioimageio.spec.model.v0_4.ModelDescr.training_data", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ModelDescr.training_data", "kind": "variable", "doc": "

The dataset used to train this model

\n", "annotation": ": Union[bioimageio.spec.dataset.v0_2.LinkedDataset, bioimageio.spec.dataset.v0_2.DatasetDescr, NoneType]"}, "bioimageio.spec.model.v0_4.ModelDescr.weights": {"fullname": "bioimageio.spec.model.v0_4.ModelDescr.weights", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ModelDescr.weights", "kind": "variable", "doc": "

The weights for this model.\nWeights can be given for different formats, but should otherwise be equivalent.\nThe available weight formats determine which consumers can use this model.

\n", "annotation": ": bioimageio.spec.model.v0_4.WeightsDescr"}, "bioimageio.spec.model.v0_4.ModelDescr.get_input_test_arrays": {"fullname": "bioimageio.spec.model.v0_4.ModelDescr.get_input_test_arrays", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ModelDescr.get_input_test_arrays", "kind": "function", "doc": "

\n", "signature": "(self) -> List[numpy.ndarray[Any, numpy.dtype[Any]]]:", "funcdef": "def"}, "bioimageio.spec.model.v0_4.ModelDescr.get_output_test_arrays": {"fullname": "bioimageio.spec.model.v0_4.ModelDescr.get_output_test_arrays", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ModelDescr.get_output_test_arrays", "kind": "function", "doc": "

\n", "signature": "(self) -> List[numpy.ndarray[Any, numpy.dtype[Any]]]:", "funcdef": "def"}, "bioimageio.spec.model.v0_4.ModelDescr.implemented_format_version": {"fullname": "bioimageio.spec.model.v0_4.ModelDescr.implemented_format_version", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ModelDescr.implemented_format_version", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[str]", "default_value": "'0.4.10'"}, "bioimageio.spec.model.v0_4.ModelDescr.implemented_format_version_tuple": {"fullname": "bioimageio.spec.model.v0_4.ModelDescr.implemented_format_version_tuple", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ModelDescr.implemented_format_version_tuple", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[Tuple[int, int, int]]", "default_value": "(0, 4, 10)"}, "bioimageio.spec.model.v0_4.ModelDescr.model_config": {"fullname": "bioimageio.spec.model.v0_4.ModelDescr.model_config", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ModelDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True, 'title': 'bioimage.io model specification'}"}, "bioimageio.spec.model.v0_4.ModelDescr.model_fields": {"fullname": "bioimageio.spec.model.v0_4.ModelDescr.model_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ModelDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'name': FieldInfo(annotation=str, required=True, metadata=[MinLen(min_length=1), AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=20, msg='Name shorter than 5 characters.', context={'typ': typing.Annotated[typing.Any, MinLen(min_length=5)]}), AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=20, msg='Name longer than 64 characters.', context={'typ': typing.Annotated[typing.Any, MaxLen(max_length=64)]})]), 'description': FieldInfo(annotation=str, required=True), 'covers': FieldInfo(annotation=List[Annotated[Union[HttpUrl, Annotated[Path, PathType, Predicate], RelativeFilePath], WithSuffix, PlainSerializer]], required=False, default_factory=list, description="Cover images. Please use an image smaller than 500KB and an aspect ratio width to height of 2:1.\\nThe supported image formats are: ('.gif', '.jpeg', '.jpg', '.png', '.svg')", examples=['cover.png']), 'id_emoji': FieldInfo(annotation=Union[Annotated[str, Len], NoneType], required=False), 'authors': FieldInfo(annotation=List[Author], required=True, metadata=[MinLen(min_length=1)]), 'attachments': FieldInfo(annotation=Union[AttachmentsDescr, NoneType], required=False), 'cite': FieldInfo(annotation=List[CiteEntry], required=False, default_factory=list), 'config': FieldInfo(annotation=Dict[str, YamlValue], required=False, default_factory=dict, examples=[{'bioimageio': {'my_custom_key': 3837283, 'another_key': {'nested': 'value'}}, 'imagej': {'macro_dir': 'path/to/macro/file'}}]), 'download_url': FieldInfo(annotation=Union[HttpUrl, NoneType], required=False), 'git_repo': FieldInfo(annotation=Union[str, NoneType], required=False, examples=['https://github.com/bioimage-io/spec-bioimage-io/tree/main/example_descriptions/models/unet2d_nuclei_broad']), 'icon': FieldInfo(annotation=Union[Annotated[Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator, PlainSerializer], Annotated[str, Len], NoneType], required=False), 'links': FieldInfo(annotation=List[str], required=False, default_factory=list, examples=[('ilastik/ilastik', 'deepimagej/deepimagej', 'zero/notebook_u-net_3d_zerocostdl4mic')]), 'uploader': FieldInfo(annotation=Union[Uploader, NoneType], required=False), 'maintainers': FieldInfo(annotation=List[Maintainer], required=False, default_factory=list), 'rdf_source': FieldInfo(annotation=Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)], NoneType], required=False), 'tags': FieldInfo(annotation=List[str], required=False, default_factory=list, examples=[('unet2d', 'pytorch', 'nucleus', 'segmentation', 'dsb2018')]), 'version': FieldInfo(annotation=Union[Version, NoneType], required=False), 'version_number': FieldInfo(annotation=Union[int, NoneType], required=False), 'format_version': FieldInfo(annotation=Literal['0.4.10'], required=False, default='0.4.10'), 'type': FieldInfo(annotation=Literal['model'], required=False, default='model'), 'id': FieldInfo(annotation=Union[ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]], NoneType], required=False), 'documentation': FieldInfo(annotation=Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], required=True, examples=['https://raw.githubusercontent.com/bioimage-io/spec-bioimage-io/main/example_descriptions/models/unet2d_nuclei_broad/README.md', 'README.md'], metadata=[AfterValidator(func=<function wo_special_file_name>), PlainSerializer(func=<function _package>, return_type=PydanticUndefined, when_used='unless-none')]), 'inputs': FieldInfo(annotation=List[InputTensorDescr], required=True, metadata=[MinLen(min_length=1)]), 'license': FieldInfo(annotation=Union[LicenseId, str], required=True, examples=['CC-BY-4.0', 'MIT', 'BSD-2-Clause'], metadata=[AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=30, msg="Unknown license id '{value}'.", context={'typ': <class 'bioimageio.spec._internal.license_id.LicenseId'>})]), 'outputs': FieldInfo(annotation=List[OutputTensorDescr], required=True, metadata=[MinLen(min_length=1)]), 'packaged_by': FieldInfo(annotation=List[Author], required=False, default_factory=list), 'parent': FieldInfo(annotation=Union[LinkedModel, NoneType], required=False), 'run_mode': FieldInfo(annotation=Union[RunMode, NoneType], required=False), 'sample_inputs': FieldInfo(annotation=List[Annotated[Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator, PlainSerializer]], required=False, default_factory=list), 'sample_outputs': FieldInfo(annotation=List[Annotated[Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator, PlainSerializer]], required=False, default_factory=list), 'test_inputs': FieldInfo(annotation=List[Annotated[Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator, PlainSerializer, WithSuffix]], required=True, metadata=[MinLen(min_length=1)]), 'test_outputs': FieldInfo(annotation=List[Annotated[Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator, PlainSerializer, WithSuffix]], required=True, metadata=[MinLen(min_length=1)]), 'timestamp': FieldInfo(annotation=Datetime, required=True), 'training_data': FieldInfo(annotation=Union[LinkedDataset, DatasetDescr, NoneType], required=False), 'weights': FieldInfo(annotation=WeightsDescr, required=True)}"}, "bioimageio.spec.model.v0_4.ModelDescr.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_4.ModelDescr.model_computed_fields", "modulename": "bioimageio.spec.model.v0_4", "qualname": "ModelDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5": {"fullname": "bioimageio.spec.model.v0_5", "modulename": "bioimageio.spec.model.v0_5", "kind": "module", "doc": "

\n"}, "bioimageio.spec.model.v0_5.SpaceUnit": {"fullname": "bioimageio.spec.model.v0_5.SpaceUnit", "modulename": "bioimageio.spec.model.v0_5", "qualname": "SpaceUnit", "kind": "variable", "doc": "

\n", "default_value": "typing.Literal['attometer', 'angstrom', 'centimeter', 'decimeter', 'exameter', 'femtometer', 'foot', 'gigameter', 'hectometer', 'inch', 'kilometer', 'megameter', 'meter', 'micrometer', 'mile', 'millimeter', 'nanometer', 'parsec', 'petameter', 'picometer', 'terameter', 'yard', 'yoctometer', 'yottameter', 'zeptometer', 'zettameter']"}, "bioimageio.spec.model.v0_5.TimeUnit": {"fullname": "bioimageio.spec.model.v0_5.TimeUnit", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TimeUnit", "kind": "variable", "doc": "

\n", "default_value": "typing.Literal['attosecond', 'centisecond', 'day', 'decisecond', 'exasecond', 'femtosecond', 'gigasecond', 'hectosecond', 'hour', 'kilosecond', 'megasecond', 'microsecond', 'millisecond', 'minute', 'nanosecond', 'petasecond', 'picosecond', 'second', 'terasecond', 'yoctosecond', 'yottasecond', 'zeptosecond', 'zettasecond']"}, "bioimageio.spec.model.v0_5.AxisType": {"fullname": "bioimageio.spec.model.v0_5.AxisType", "modulename": "bioimageio.spec.model.v0_5", "qualname": "AxisType", "kind": "variable", "doc": "

\n", "default_value": "typing.Literal['batch', 'channel', 'index', 'time', 'space']"}, "bioimageio.spec.model.v0_5.TensorId": {"fullname": "bioimageio.spec.model.v0_5.TensorId", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TensorId", "kind": "variable", "doc": "

\n", "default_value": "<class 'bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, AfterValidator, AfterValidator, Annotated[TypeVar, Predicate], MaxLen]]'>"}, "bioimageio.spec.model.v0_5.AxisId": {"fullname": "bioimageio.spec.model.v0_5.AxisId", "modulename": "bioimageio.spec.model.v0_5", "qualname": "AxisId", "kind": "class", "doc": "

str(object='') -> str\nstr(bytes_or_buffer[, encoding[, errors]]) -> str

\n\n

Create a new string object from the given object. If encoding or\nerrors is specified, then the object must expose a data buffer\nthat will be decoded using the given encoding and error handler.\nOtherwise, returns the result of object.__str__() (if defined)\nor repr(object).\nencoding defaults to sys.getdefaultencoding().\nerrors defaults to 'strict'.

\n", "bases": "builtins.str"}, "bioimageio.spec.model.v0_5.AxisId.root_model": {"fullname": "bioimageio.spec.model.v0_5.AxisId.root_model", "modulename": "bioimageio.spec.model.v0_5", "qualname": "AxisId.root_model", "kind": "variable", "doc": "

\n", "default_value": "<class 'bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, AfterValidator, AfterValidator, Annotated[TypeVar, Predicate], MaxLen]]'>"}, "bioimageio.spec.model.v0_5.NonBatchAxisId": {"fullname": "bioimageio.spec.model.v0_5.NonBatchAxisId", "modulename": "bioimageio.spec.model.v0_5", "qualname": "NonBatchAxisId", "kind": "variable", "doc": "

\n", "default_value": "typing.Annotated[bioimageio.spec.model.v0_5.AxisId, Predicate(func=<function <lambda>>)]"}, "bioimageio.spec.model.v0_5.PostprocessingId": {"fullname": "bioimageio.spec.model.v0_5.PostprocessingId", "modulename": "bioimageio.spec.model.v0_5", "qualname": "PostprocessingId", "kind": "variable", "doc": "

\n", "default_value": "typing.Literal['binarize', 'clip', 'ensure_dtype', 'fixed_zero_mean_unit_variance', 'scale_linear', 'scale_mean_variance', 'scale_range', 'sigmoid', 'zero_mean_unit_variance']"}, "bioimageio.spec.model.v0_5.PreprocessingId": {"fullname": "bioimageio.spec.model.v0_5.PreprocessingId", "modulename": "bioimageio.spec.model.v0_5", "qualname": "PreprocessingId", "kind": "variable", "doc": "

\n", "default_value": "typing.Literal['binarize', 'clip', 'ensure_dtype', 'scale_linear', 'sigmoid', 'zero_mean_unit_variance', 'scale_range']"}, "bioimageio.spec.model.v0_5.SAME_AS_TYPE": {"fullname": "bioimageio.spec.model.v0_5.SAME_AS_TYPE", "modulename": "bioimageio.spec.model.v0_5", "qualname": "SAME_AS_TYPE", "kind": "variable", "doc": "

\n", "default_value": "'<same as type>'"}, "bioimageio.spec.model.v0_5.ParameterizedSize": {"fullname": "bioimageio.spec.model.v0_5.ParameterizedSize", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ParameterizedSize", "kind": "class", "doc": "

Describes a range of valid tensor axis sizes as size = min + n*step.

\n", "bases": "bioimageio.spec._internal.node.Node"}, "bioimageio.spec.model.v0_5.ParameterizedSize.N": {"fullname": "bioimageio.spec.model.v0_5.ParameterizedSize.N", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ParameterizedSize.N", "kind": "variable", "doc": "

integer to parameterize this axis

\n", "annotation": ": ClassVar[Type[int]]", "default_value": "<class 'int'>"}, "bioimageio.spec.model.v0_5.ParameterizedSize.min": {"fullname": "bioimageio.spec.model.v0_5.ParameterizedSize.min", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ParameterizedSize.min", "kind": "variable", "doc": "

\n", "annotation": ": Annotated[int, Gt(gt=0)]"}, "bioimageio.spec.model.v0_5.ParameterizedSize.step": {"fullname": "bioimageio.spec.model.v0_5.ParameterizedSize.step", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ParameterizedSize.step", "kind": "variable", "doc": "

\n", "annotation": ": Annotated[int, Gt(gt=0)]"}, "bioimageio.spec.model.v0_5.ParameterizedSize.validate_size": {"fullname": "bioimageio.spec.model.v0_5.ParameterizedSize.validate_size", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ParameterizedSize.validate_size", "kind": "function", "doc": "

\n", "signature": "(self, size: int) -> int:", "funcdef": "def"}, "bioimageio.spec.model.v0_5.ParameterizedSize.get_size": {"fullname": "bioimageio.spec.model.v0_5.ParameterizedSize.get_size", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ParameterizedSize.get_size", "kind": "function", "doc": "

\n", "signature": "(self, n: int) -> int:", "funcdef": "def"}, "bioimageio.spec.model.v0_5.ParameterizedSize.model_config": {"fullname": "bioimageio.spec.model.v0_5.ParameterizedSize.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ParameterizedSize.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.ParameterizedSize.model_fields": {"fullname": "bioimageio.spec.model.v0_5.ParameterizedSize.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ParameterizedSize.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'min': FieldInfo(annotation=int, required=True, metadata=[Gt(gt=0)]), 'step': FieldInfo(annotation=int, required=True, metadata=[Gt(gt=0)])}"}, "bioimageio.spec.model.v0_5.ParameterizedSize.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.ParameterizedSize.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ParameterizedSize.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.ARBITRARY_SIZE": {"fullname": "bioimageio.spec.model.v0_5.ARBITRARY_SIZE", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ARBITRARY_SIZE", "kind": "variable", "doc": "

\n", "default_value": "ParameterizedSize(min=1, step=1)"}, "bioimageio.spec.model.v0_5.DataDependentSize": {"fullname": "bioimageio.spec.model.v0_5.DataDependentSize", "modulename": "bioimageio.spec.model.v0_5", "qualname": "DataDependentSize", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "bioimageio.spec._internal.node.Node"}, "bioimageio.spec.model.v0_5.DataDependentSize.min": {"fullname": "bioimageio.spec.model.v0_5.DataDependentSize.min", "modulename": "bioimageio.spec.model.v0_5", "qualname": "DataDependentSize.min", "kind": "variable", "doc": "

\n", "annotation": ": Annotated[int, Gt(gt=0)]"}, "bioimageio.spec.model.v0_5.DataDependentSize.max": {"fullname": "bioimageio.spec.model.v0_5.DataDependentSize.max", "modulename": "bioimageio.spec.model.v0_5", "qualname": "DataDependentSize.max", "kind": "variable", "doc": "

\n", "annotation": ": Annotated[Optional[int], Gt(gt=1)]"}, "bioimageio.spec.model.v0_5.DataDependentSize.validate_size": {"fullname": "bioimageio.spec.model.v0_5.DataDependentSize.validate_size", "modulename": "bioimageio.spec.model.v0_5", "qualname": "DataDependentSize.validate_size", "kind": "function", "doc": "

\n", "signature": "(self, size: int) -> int:", "funcdef": "def"}, "bioimageio.spec.model.v0_5.DataDependentSize.model_config": {"fullname": "bioimageio.spec.model.v0_5.DataDependentSize.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "DataDependentSize.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.DataDependentSize.model_fields": {"fullname": "bioimageio.spec.model.v0_5.DataDependentSize.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "DataDependentSize.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'min': FieldInfo(annotation=int, required=False, default=1, metadata=[Gt(gt=0)]), 'max': FieldInfo(annotation=Union[int, NoneType], required=False, metadata=[Gt(gt=1)])}"}, "bioimageio.spec.model.v0_5.DataDependentSize.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.DataDependentSize.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "DataDependentSize.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.SizeReference": {"fullname": "bioimageio.spec.model.v0_5.SizeReference", "modulename": "bioimageio.spec.model.v0_5", "qualname": "SizeReference", "kind": "class", "doc": "

A tensor axis size (extent in pixels/frames) defined in relation to a reference axis.

\n\n

axis.size = reference.size * reference.scale / axis.scale + offset

\n\n

note:

\n\n
    \n
  1. The axis and the referenced axis need to have the same unit (or no unit).
  2. \n
  3. Batch axes may not be referenced.
  4. \n
  5. Fractions are rounded down.
  6. \n
\n\n

example:\nAn unisotropic input image of wh=10049 pixels depicts a phsical space of 200196mm\u00b2.\nLet's assume that we want to express the image height h in relation to its width w\ninstead of only accepting input images of exactly 10049 pixels\n(for example to express a range of valid image shapes by parametrizing w, see ParameterizedSize).

\n\n
\n
>>> w = SpaceInputAxis(id=AxisId("w"), size=100, unit="millimeter", scale=2)\n>>> h = SpaceInputAxis(\n...     id=AxisId("h"),\n...     size=SizeReference(tensor_id=TensorId("input"), axis_id=AxisId("w"), offset=-1),\n...     unit="millimeter",\n...     scale=4,\n... )\n>>> print(h.size.compute(h, w))\n49\n
\n
\n\n

-> h = w * w.scale / h.scale + offset = 100 * 2mm / 4mm - 1 = 49

\n", "bases": "bioimageio.spec._internal.node.Node"}, "bioimageio.spec.model.v0_5.SizeReference.tensor_id": {"fullname": "bioimageio.spec.model.v0_5.SizeReference.tensor_id", "modulename": "bioimageio.spec.model.v0_5", "qualname": "SizeReference.tensor_id", "kind": "variable", "doc": "

tensor id of the reference axis

\n", "annotation": ": bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, AfterValidator, AfterValidator, Annotated[TypeVar, Predicate], MaxLen]]"}, "bioimageio.spec.model.v0_5.SizeReference.axis_id": {"fullname": "bioimageio.spec.model.v0_5.SizeReference.axis_id", "modulename": "bioimageio.spec.model.v0_5", "qualname": "SizeReference.axis_id", "kind": "variable", "doc": "

axis id of the reference axis

\n", "annotation": ": bioimageio.spec.model.v0_5.AxisId"}, "bioimageio.spec.model.v0_5.SizeReference.offset": {"fullname": "bioimageio.spec.model.v0_5.SizeReference.offset", "modulename": "bioimageio.spec.model.v0_5", "qualname": "SizeReference.offset", "kind": "variable", "doc": "

\n", "annotation": ": int"}, "bioimageio.spec.model.v0_5.SizeReference.get_size": {"fullname": "bioimageio.spec.model.v0_5.SizeReference.get_size", "modulename": "bioimageio.spec.model.v0_5", "qualname": "SizeReference.get_size", "kind": "function", "doc": "

helper method to compute concrete size for a given axis and its reference axis.\nIf the reference axis is parameterized, n is used to compute the concrete size of it, see ParameterizedSize.

\n", "signature": "(\tself,\taxis: Union[bioimageio.spec.model.v0_5.ChannelAxis, bioimageio.spec.model.v0_5.IndexInputAxis, bioimageio.spec.model.v0_5.IndexOutputAxis, bioimageio.spec.model.v0_5.TimeInputAxis, bioimageio.spec.model.v0_5.SpaceInputAxis, bioimageio.spec.model.v0_5.TimeOutputAxis, bioimageio.spec.model.v0_5.SpaceOutputAxis],\tref_axis: Union[bioimageio.spec.model.v0_5.ChannelAxis, bioimageio.spec.model.v0_5.IndexInputAxis, bioimageio.spec.model.v0_5.IndexOutputAxis, bioimageio.spec.model.v0_5.TimeInputAxis, bioimageio.spec.model.v0_5.SpaceInputAxis, bioimageio.spec.model.v0_5.TimeOutputAxis, bioimageio.spec.model.v0_5.SpaceOutputAxis],\tn: int):", "funcdef": "def"}, "bioimageio.spec.model.v0_5.SizeReference.model_config": {"fullname": "bioimageio.spec.model.v0_5.SizeReference.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "SizeReference.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.SizeReference.model_fields": {"fullname": "bioimageio.spec.model.v0_5.SizeReference.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "SizeReference.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'tensor_id': FieldInfo(annotation=ValidatedString[Annotated[str, MinLen, AfterValidator, AfterValidator, Annotated[TypeVar, Predicate], MaxLen]], required=True), 'axis_id': FieldInfo(annotation=AxisId, required=True), 'offset': FieldInfo(annotation=int, required=False, default=0)}"}, "bioimageio.spec.model.v0_5.SizeReference.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.SizeReference.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "SizeReference.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.AxisBase": {"fullname": "bioimageio.spec.model.v0_5.AxisBase", "modulename": "bioimageio.spec.model.v0_5", "qualname": "AxisBase", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "bioimageio.spec._internal.common_nodes.NodeWithExplicitlySetFields"}, "bioimageio.spec.model.v0_5.AxisBase.fields_to_set_explicitly": {"fullname": "bioimageio.spec.model.v0_5.AxisBase.fields_to_set_explicitly", "modulename": "bioimageio.spec.model.v0_5", "qualname": "AxisBase.fields_to_set_explicitly", "kind": "variable", "doc": "

set set these fields explicitly with their default value if they are not set,\nsuch that they are always included even when dumping with 'exlude_unset'

\n", "annotation": ": ClassVar[FrozenSet[LiteralString]]", "default_value": "frozenset({'type'})"}, "bioimageio.spec.model.v0_5.AxisBase.id": {"fullname": "bioimageio.spec.model.v0_5.AxisBase.id", "modulename": "bioimageio.spec.model.v0_5", "qualname": "AxisBase.id", "kind": "variable", "doc": "

An axis id unique across all axes of one tensor.

\n", "annotation": ": bioimageio.spec.model.v0_5.AxisId"}, "bioimageio.spec.model.v0_5.AxisBase.description": {"fullname": "bioimageio.spec.model.v0_5.AxisBase.description", "modulename": "bioimageio.spec.model.v0_5", "qualname": "AxisBase.description", "kind": "variable", "doc": "

\n", "annotation": ": Annotated[str, MaxLen(max_length=128)]"}, "bioimageio.spec.model.v0_5.AxisBase.model_config": {"fullname": "bioimageio.spec.model.v0_5.AxisBase.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "AxisBase.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.AxisBase.model_fields": {"fullname": "bioimageio.spec.model.v0_5.AxisBase.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "AxisBase.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'id': FieldInfo(annotation=AxisId, required=True), 'description': FieldInfo(annotation=str, required=False, default='', metadata=[MaxLen(max_length=128)])}"}, "bioimageio.spec.model.v0_5.AxisBase.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.AxisBase.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "AxisBase.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.WithHalo": {"fullname": "bioimageio.spec.model.v0_5.WithHalo", "modulename": "bioimageio.spec.model.v0_5", "qualname": "WithHalo", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "bioimageio.spec._internal.node.Node"}, "bioimageio.spec.model.v0_5.WithHalo.halo": {"fullname": "bioimageio.spec.model.v0_5.WithHalo.halo", "modulename": "bioimageio.spec.model.v0_5", "qualname": "WithHalo.halo", "kind": "variable", "doc": "

The halo should be cropped from the output tensor to avoid boundary effects.\nIt is to be cropped from both sides, i.e. size_after_crop = size - 2 * halo.\nTo document a halo that is already cropped by the model use size.offset instead.

\n", "annotation": ": Annotated[int, Ge(ge=0)]"}, "bioimageio.spec.model.v0_5.WithHalo.model_config": {"fullname": "bioimageio.spec.model.v0_5.WithHalo.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "WithHalo.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.WithHalo.model_fields": {"fullname": "bioimageio.spec.model.v0_5.WithHalo.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "WithHalo.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'halo': FieldInfo(annotation=int, required=False, default=0, metadata=[Ge(ge=0)])}"}, "bioimageio.spec.model.v0_5.WithHalo.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.WithHalo.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "WithHalo.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.BatchAxis": {"fullname": "bioimageio.spec.model.v0_5.BatchAxis", "modulename": "bioimageio.spec.model.v0_5", "qualname": "BatchAxis", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "AxisBase"}, "bioimageio.spec.model.v0_5.BatchAxis.type": {"fullname": "bioimageio.spec.model.v0_5.BatchAxis.type", "modulename": "bioimageio.spec.model.v0_5", "qualname": "BatchAxis.type", "kind": "variable", "doc": "

\n", "annotation": ": Literal['batch']"}, "bioimageio.spec.model.v0_5.BatchAxis.id": {"fullname": "bioimageio.spec.model.v0_5.BatchAxis.id", "modulename": "bioimageio.spec.model.v0_5", "qualname": "BatchAxis.id", "kind": "variable", "doc": "

An axis id unique across all axes of one tensor.

\n", "annotation": ": Annotated[bioimageio.spec.model.v0_5.AxisId, Predicate(func=<function <lambda> at 0x7f45333da200>)]"}, "bioimageio.spec.model.v0_5.BatchAxis.size": {"fullname": "bioimageio.spec.model.v0_5.BatchAxis.size", "modulename": "bioimageio.spec.model.v0_5", "qualname": "BatchAxis.size", "kind": "variable", "doc": "

The batch size may be fixed to 1,\notherwise (the default) it may be chosen arbitrarily depending on available memory

\n", "annotation": ": Optional[Literal[1]]"}, "bioimageio.spec.model.v0_5.BatchAxis.scale": {"fullname": "bioimageio.spec.model.v0_5.BatchAxis.scale", "modulename": "bioimageio.spec.model.v0_5", "qualname": "BatchAxis.scale", "kind": "variable", "doc": "

\n"}, "bioimageio.spec.model.v0_5.BatchAxis.unit": {"fullname": "bioimageio.spec.model.v0_5.BatchAxis.unit", "modulename": "bioimageio.spec.model.v0_5", "qualname": "BatchAxis.unit", "kind": "variable", "doc": "

\n"}, "bioimageio.spec.model.v0_5.BatchAxis.model_config": {"fullname": "bioimageio.spec.model.v0_5.BatchAxis.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "BatchAxis.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.BatchAxis.model_fields": {"fullname": "bioimageio.spec.model.v0_5.BatchAxis.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "BatchAxis.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'id': FieldInfo(annotation=AxisId, required=False, default='batch', metadata=[Predicate(func=<function <lambda>>)]), 'description': FieldInfo(annotation=str, required=False, default='', metadata=[MaxLen(max_length=128)]), 'type': FieldInfo(annotation=Literal['batch'], required=False, default='batch'), 'size': FieldInfo(annotation=Union[Literal[1], NoneType], required=False)}"}, "bioimageio.spec.model.v0_5.BatchAxis.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.BatchAxis.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "BatchAxis.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.ChannelAxis": {"fullname": "bioimageio.spec.model.v0_5.ChannelAxis", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ChannelAxis", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "AxisBase"}, "bioimageio.spec.model.v0_5.ChannelAxis.type": {"fullname": "bioimageio.spec.model.v0_5.ChannelAxis.type", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ChannelAxis.type", "kind": "variable", "doc": "

\n", "annotation": ": Literal['channel']"}, "bioimageio.spec.model.v0_5.ChannelAxis.id": {"fullname": "bioimageio.spec.model.v0_5.ChannelAxis.id", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ChannelAxis.id", "kind": "variable", "doc": "

An axis id unique across all axes of one tensor.

\n", "annotation": ": Annotated[bioimageio.spec.model.v0_5.AxisId, Predicate(func=<function <lambda> at 0x7f453532b7e0>)]"}, "bioimageio.spec.model.v0_5.ChannelAxis.channel_names": {"fullname": "bioimageio.spec.model.v0_5.ChannelAxis.channel_names", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ChannelAxis.channel_names", "kind": "variable", "doc": "

\n", "annotation": ": List[bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, AfterValidator, AfterValidator]]]"}, "bioimageio.spec.model.v0_5.ChannelAxis.size": {"fullname": "bioimageio.spec.model.v0_5.ChannelAxis.size", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ChannelAxis.size", "kind": "variable", "doc": "

\n", "annotation": ": int"}, "bioimageio.spec.model.v0_5.ChannelAxis.scale": {"fullname": "bioimageio.spec.model.v0_5.ChannelAxis.scale", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ChannelAxis.scale", "kind": "variable", "doc": "

\n", "annotation": ": float"}, "bioimageio.spec.model.v0_5.ChannelAxis.unit": {"fullname": "bioimageio.spec.model.v0_5.ChannelAxis.unit", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ChannelAxis.unit", "kind": "variable", "doc": "

\n"}, "bioimageio.spec.model.v0_5.ChannelAxis.model_config": {"fullname": "bioimageio.spec.model.v0_5.ChannelAxis.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ChannelAxis.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.ChannelAxis.model_fields": {"fullname": "bioimageio.spec.model.v0_5.ChannelAxis.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ChannelAxis.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'id': FieldInfo(annotation=AxisId, required=False, default='channel', metadata=[Predicate(func=<function <lambda>>)]), 'description': FieldInfo(annotation=str, required=False, default='', metadata=[MaxLen(max_length=128)]), 'type': FieldInfo(annotation=Literal['channel'], required=False, default='channel'), 'channel_names': FieldInfo(annotation=List[ValidatedString[Annotated[str, MinLen, AfterValidator, AfterValidator]]], required=True)}"}, "bioimageio.spec.model.v0_5.ChannelAxis.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.ChannelAxis.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ChannelAxis.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.IndexAxisBase": {"fullname": "bioimageio.spec.model.v0_5.IndexAxisBase", "modulename": "bioimageio.spec.model.v0_5", "qualname": "IndexAxisBase", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "AxisBase"}, "bioimageio.spec.model.v0_5.IndexAxisBase.type": {"fullname": "bioimageio.spec.model.v0_5.IndexAxisBase.type", "modulename": "bioimageio.spec.model.v0_5", "qualname": "IndexAxisBase.type", "kind": "variable", "doc": "

\n", "annotation": ": Literal['index']"}, "bioimageio.spec.model.v0_5.IndexAxisBase.id": {"fullname": "bioimageio.spec.model.v0_5.IndexAxisBase.id", "modulename": "bioimageio.spec.model.v0_5", "qualname": "IndexAxisBase.id", "kind": "variable", "doc": "

An axis id unique across all axes of one tensor.

\n", "annotation": ": Annotated[bioimageio.spec.model.v0_5.AxisId, Predicate(func=<function <lambda> at 0x7f453532b7e0>)]"}, "bioimageio.spec.model.v0_5.IndexAxisBase.scale": {"fullname": "bioimageio.spec.model.v0_5.IndexAxisBase.scale", "modulename": "bioimageio.spec.model.v0_5", "qualname": "IndexAxisBase.scale", "kind": "variable", "doc": "

\n", "annotation": ": float"}, "bioimageio.spec.model.v0_5.IndexAxisBase.unit": {"fullname": "bioimageio.spec.model.v0_5.IndexAxisBase.unit", "modulename": "bioimageio.spec.model.v0_5", "qualname": "IndexAxisBase.unit", "kind": "variable", "doc": "

\n"}, "bioimageio.spec.model.v0_5.IndexAxisBase.model_config": {"fullname": "bioimageio.spec.model.v0_5.IndexAxisBase.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "IndexAxisBase.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.IndexAxisBase.model_fields": {"fullname": "bioimageio.spec.model.v0_5.IndexAxisBase.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "IndexAxisBase.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'id': FieldInfo(annotation=AxisId, required=False, default='index', metadata=[Predicate(func=<function <lambda>>)]), 'description': FieldInfo(annotation=str, required=False, default='', metadata=[MaxLen(max_length=128)]), 'type': FieldInfo(annotation=Literal['index'], required=False, default='index')}"}, "bioimageio.spec.model.v0_5.IndexAxisBase.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.IndexAxisBase.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "IndexAxisBase.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.IndexInputAxis": {"fullname": "bioimageio.spec.model.v0_5.IndexInputAxis", "modulename": "bioimageio.spec.model.v0_5", "qualname": "IndexInputAxis", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "IndexAxisBase, _WithInputAxisSize"}, "bioimageio.spec.model.v0_5.IndexInputAxis.model_config": {"fullname": "bioimageio.spec.model.v0_5.IndexInputAxis.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "IndexInputAxis.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.IndexInputAxis.model_fields": {"fullname": "bioimageio.spec.model.v0_5.IndexInputAxis.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "IndexInputAxis.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'size': FieldInfo(annotation=Union[Annotated[int, Gt], ParameterizedSize, SizeReference], required=True, examples=[10, {'min': 32, 'step': 16}, {'tensor_id': 't', 'axis_id': 'a', 'offset': 5}]), 'id': FieldInfo(annotation=AxisId, required=False, default='index', metadata=[Predicate(func=<function <lambda>>)]), 'description': FieldInfo(annotation=str, required=False, default='', metadata=[MaxLen(max_length=128)]), 'type': FieldInfo(annotation=Literal['index'], required=False, default='index')}"}, "bioimageio.spec.model.v0_5.IndexInputAxis.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.IndexInputAxis.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "IndexInputAxis.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.IndexOutputAxis": {"fullname": "bioimageio.spec.model.v0_5.IndexOutputAxis", "modulename": "bioimageio.spec.model.v0_5", "qualname": "IndexOutputAxis", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "IndexAxisBase"}, "bioimageio.spec.model.v0_5.IndexOutputAxis.size": {"fullname": "bioimageio.spec.model.v0_5.IndexOutputAxis.size", "modulename": "bioimageio.spec.model.v0_5", "qualname": "IndexOutputAxis.size", "kind": "variable", "doc": "

The size/length of this axis can be specified as

\n\n
    \n
  • fixed integer
  • \n
  • reference to another axis with an optional offset (SizeReference)
  • \n
  • data dependent size using DataDependentSize (size is only known after model inference)
  • \n
\n", "annotation": ": Annotated[Union[Annotated[int, Gt(gt=0)], bioimageio.spec.model.v0_5.SizeReference, bioimageio.spec.model.v0_5.DataDependentSize], FieldInfo(annotation=NoneType, required=True, examples=[10, {'tensor_id': 't', 'axis_id': 'a', 'offset': 5}])]"}, "bioimageio.spec.model.v0_5.IndexOutputAxis.model_config": {"fullname": "bioimageio.spec.model.v0_5.IndexOutputAxis.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "IndexOutputAxis.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.IndexOutputAxis.model_fields": {"fullname": "bioimageio.spec.model.v0_5.IndexOutputAxis.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "IndexOutputAxis.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'id': FieldInfo(annotation=AxisId, required=False, default='index', metadata=[Predicate(func=<function <lambda>>)]), 'description': FieldInfo(annotation=str, required=False, default='', metadata=[MaxLen(max_length=128)]), 'type': FieldInfo(annotation=Literal['index'], required=False, default='index'), 'size': FieldInfo(annotation=Union[Annotated[int, Gt], SizeReference, DataDependentSize], required=True, examples=[10, {'tensor_id': 't', 'axis_id': 'a', 'offset': 5}])}"}, "bioimageio.spec.model.v0_5.IndexOutputAxis.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.IndexOutputAxis.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "IndexOutputAxis.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.TimeAxisBase": {"fullname": "bioimageio.spec.model.v0_5.TimeAxisBase", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TimeAxisBase", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "AxisBase"}, "bioimageio.spec.model.v0_5.TimeAxisBase.type": {"fullname": "bioimageio.spec.model.v0_5.TimeAxisBase.type", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TimeAxisBase.type", "kind": "variable", "doc": "

\n", "annotation": ": Literal['time']"}, "bioimageio.spec.model.v0_5.TimeAxisBase.id": {"fullname": "bioimageio.spec.model.v0_5.TimeAxisBase.id", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TimeAxisBase.id", "kind": "variable", "doc": "

An axis id unique across all axes of one tensor.

\n", "annotation": ": Annotated[bioimageio.spec.model.v0_5.AxisId, Predicate(func=<function <lambda> at 0x7f453532b7e0>)]"}, "bioimageio.spec.model.v0_5.TimeAxisBase.unit": {"fullname": "bioimageio.spec.model.v0_5.TimeAxisBase.unit", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TimeAxisBase.unit", "kind": "variable", "doc": "

\n", "annotation": ": Optional[Literal['attosecond', 'centisecond', 'day', 'decisecond', 'exasecond', 'femtosecond', 'gigasecond', 'hectosecond', 'hour', 'kilosecond', 'megasecond', 'microsecond', 'millisecond', 'minute', 'nanosecond', 'petasecond', 'picosecond', 'second', 'terasecond', 'yoctosecond', 'yottasecond', 'zeptosecond', 'zettasecond']]"}, "bioimageio.spec.model.v0_5.TimeAxisBase.scale": {"fullname": "bioimageio.spec.model.v0_5.TimeAxisBase.scale", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TimeAxisBase.scale", "kind": "variable", "doc": "

\n", "annotation": ": Annotated[float, Gt(gt=0)]"}, "bioimageio.spec.model.v0_5.TimeAxisBase.model_config": {"fullname": "bioimageio.spec.model.v0_5.TimeAxisBase.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TimeAxisBase.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.TimeAxisBase.model_fields": {"fullname": "bioimageio.spec.model.v0_5.TimeAxisBase.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TimeAxisBase.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'id': FieldInfo(annotation=AxisId, required=False, default='time', metadata=[Predicate(func=<function <lambda>>)]), 'description': FieldInfo(annotation=str, required=False, default='', metadata=[MaxLen(max_length=128)]), 'type': FieldInfo(annotation=Literal['time'], required=False, default='time'), 'unit': FieldInfo(annotation=Union[Literal['attosecond', 'centisecond', 'day', 'decisecond', 'exasecond', 'femtosecond', 'gigasecond', 'hectosecond', 'hour', 'kilosecond', 'megasecond', 'microsecond', 'millisecond', 'minute', 'nanosecond', 'petasecond', 'picosecond', 'second', 'terasecond', 'yoctosecond', 'yottasecond', 'zeptosecond', 'zettasecond'], NoneType], required=False), 'scale': FieldInfo(annotation=float, required=False, default=1.0, metadata=[Gt(gt=0)])}"}, "bioimageio.spec.model.v0_5.TimeAxisBase.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.TimeAxisBase.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TimeAxisBase.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.TimeInputAxis": {"fullname": "bioimageio.spec.model.v0_5.TimeInputAxis", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TimeInputAxis", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "TimeAxisBase, _WithInputAxisSize"}, "bioimageio.spec.model.v0_5.TimeInputAxis.model_config": {"fullname": "bioimageio.spec.model.v0_5.TimeInputAxis.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TimeInputAxis.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.TimeInputAxis.model_fields": {"fullname": "bioimageio.spec.model.v0_5.TimeInputAxis.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TimeInputAxis.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'size': FieldInfo(annotation=Union[Annotated[int, Gt], ParameterizedSize, SizeReference], required=True, examples=[10, {'min': 32, 'step': 16}, {'tensor_id': 't', 'axis_id': 'a', 'offset': 5}]), 'id': FieldInfo(annotation=AxisId, required=False, default='time', metadata=[Predicate(func=<function <lambda>>)]), 'description': FieldInfo(annotation=str, required=False, default='', metadata=[MaxLen(max_length=128)]), 'type': FieldInfo(annotation=Literal['time'], required=False, default='time'), 'unit': FieldInfo(annotation=Union[Literal['attosecond', 'centisecond', 'day', 'decisecond', 'exasecond', 'femtosecond', 'gigasecond', 'hectosecond', 'hour', 'kilosecond', 'megasecond', 'microsecond', 'millisecond', 'minute', 'nanosecond', 'petasecond', 'picosecond', 'second', 'terasecond', 'yoctosecond', 'yottasecond', 'zeptosecond', 'zettasecond'], NoneType], required=False), 'scale': FieldInfo(annotation=float, required=False, default=1.0, metadata=[Gt(gt=0)])}"}, "bioimageio.spec.model.v0_5.TimeInputAxis.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.TimeInputAxis.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TimeInputAxis.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.SpaceAxisBase": {"fullname": "bioimageio.spec.model.v0_5.SpaceAxisBase", "modulename": "bioimageio.spec.model.v0_5", "qualname": "SpaceAxisBase", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "AxisBase"}, "bioimageio.spec.model.v0_5.SpaceAxisBase.type": {"fullname": "bioimageio.spec.model.v0_5.SpaceAxisBase.type", "modulename": "bioimageio.spec.model.v0_5", "qualname": "SpaceAxisBase.type", "kind": "variable", "doc": "

\n", "annotation": ": Literal['space']"}, "bioimageio.spec.model.v0_5.SpaceAxisBase.id": {"fullname": "bioimageio.spec.model.v0_5.SpaceAxisBase.id", "modulename": "bioimageio.spec.model.v0_5", "qualname": "SpaceAxisBase.id", "kind": "variable", "doc": "

An axis id unique across all axes of one tensor.

\n", "annotation": ": Annotated[bioimageio.spec.model.v0_5.AxisId, Predicate(func=<function <lambda> at 0x7f453532b7e0>), FieldInfo(annotation=NoneType, required=True, examples=['x', 'y', 'z'])]"}, "bioimageio.spec.model.v0_5.SpaceAxisBase.unit": {"fullname": "bioimageio.spec.model.v0_5.SpaceAxisBase.unit", "modulename": "bioimageio.spec.model.v0_5", "qualname": "SpaceAxisBase.unit", "kind": "variable", "doc": "

\n", "annotation": ": Optional[Literal['attometer', 'angstrom', 'centimeter', 'decimeter', 'exameter', 'femtometer', 'foot', 'gigameter', 'hectometer', 'inch', 'kilometer', 'megameter', 'meter', 'micrometer', 'mile', 'millimeter', 'nanometer', 'parsec', 'petameter', 'picometer', 'terameter', 'yard', 'yoctometer', 'yottameter', 'zeptometer', 'zettameter']]"}, "bioimageio.spec.model.v0_5.SpaceAxisBase.scale": {"fullname": "bioimageio.spec.model.v0_5.SpaceAxisBase.scale", "modulename": "bioimageio.spec.model.v0_5", "qualname": "SpaceAxisBase.scale", "kind": "variable", "doc": "

\n", "annotation": ": Annotated[float, Gt(gt=0)]"}, "bioimageio.spec.model.v0_5.SpaceAxisBase.model_config": {"fullname": "bioimageio.spec.model.v0_5.SpaceAxisBase.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "SpaceAxisBase.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.SpaceAxisBase.model_fields": {"fullname": "bioimageio.spec.model.v0_5.SpaceAxisBase.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "SpaceAxisBase.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'id': FieldInfo(annotation=AxisId, required=False, default='x', examples=['x', 'y', 'z'], metadata=[Predicate(func=<function <lambda>>)]), 'description': FieldInfo(annotation=str, required=False, default='', metadata=[MaxLen(max_length=128)]), 'type': FieldInfo(annotation=Literal['space'], required=False, default='space'), 'unit': FieldInfo(annotation=Union[Literal['attometer', 'angstrom', 'centimeter', 'decimeter', 'exameter', 'femtometer', 'foot', 'gigameter', 'hectometer', 'inch', 'kilometer', 'megameter', 'meter', 'micrometer', 'mile', 'millimeter', 'nanometer', 'parsec', 'petameter', 'picometer', 'terameter', 'yard', 'yoctometer', 'yottameter', 'zeptometer', 'zettameter'], NoneType], required=False), 'scale': FieldInfo(annotation=float, required=False, default=1.0, metadata=[Gt(gt=0)])}"}, "bioimageio.spec.model.v0_5.SpaceAxisBase.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.SpaceAxisBase.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "SpaceAxisBase.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.SpaceInputAxis": {"fullname": "bioimageio.spec.model.v0_5.SpaceInputAxis", "modulename": "bioimageio.spec.model.v0_5", "qualname": "SpaceInputAxis", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "SpaceAxisBase, _WithInputAxisSize"}, "bioimageio.spec.model.v0_5.SpaceInputAxis.model_config": {"fullname": "bioimageio.spec.model.v0_5.SpaceInputAxis.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "SpaceInputAxis.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.SpaceInputAxis.model_fields": {"fullname": "bioimageio.spec.model.v0_5.SpaceInputAxis.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "SpaceInputAxis.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'size': FieldInfo(annotation=Union[Annotated[int, Gt], ParameterizedSize, SizeReference], required=True, examples=[10, {'min': 32, 'step': 16}, {'tensor_id': 't', 'axis_id': 'a', 'offset': 5}]), 'id': FieldInfo(annotation=AxisId, required=False, default='x', examples=['x', 'y', 'z'], metadata=[Predicate(func=<function <lambda>>)]), 'description': FieldInfo(annotation=str, required=False, default='', metadata=[MaxLen(max_length=128)]), 'type': FieldInfo(annotation=Literal['space'], required=False, default='space'), 'unit': FieldInfo(annotation=Union[Literal['attometer', 'angstrom', 'centimeter', 'decimeter', 'exameter', 'femtometer', 'foot', 'gigameter', 'hectometer', 'inch', 'kilometer', 'megameter', 'meter', 'micrometer', 'mile', 'millimeter', 'nanometer', 'parsec', 'petameter', 'picometer', 'terameter', 'yard', 'yoctometer', 'yottameter', 'zeptometer', 'zettameter'], NoneType], required=False), 'scale': FieldInfo(annotation=float, required=False, default=1.0, metadata=[Gt(gt=0)])}"}, "bioimageio.spec.model.v0_5.SpaceInputAxis.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.SpaceInputAxis.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "SpaceInputAxis.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.InputAxis": {"fullname": "bioimageio.spec.model.v0_5.InputAxis", "modulename": "bioimageio.spec.model.v0_5", "qualname": "InputAxis", "kind": "variable", "doc": "

\n", "default_value": "typing.Annotated[typing.Union[bioimageio.spec.model.v0_5.BatchAxis, bioimageio.spec.model.v0_5.ChannelAxis, bioimageio.spec.model.v0_5.IndexInputAxis, bioimageio.spec.model.v0_5.TimeInputAxis, bioimageio.spec.model.v0_5.SpaceInputAxis], FieldInfo(annotation=NoneType, required=True, discriminator='type')]"}, "bioimageio.spec.model.v0_5.TimeOutputAxis": {"fullname": "bioimageio.spec.model.v0_5.TimeOutputAxis", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TimeOutputAxis", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "TimeAxisBase, WithHalo, _WithOutputAxisSize"}, "bioimageio.spec.model.v0_5.TimeOutputAxis.model_config": {"fullname": "bioimageio.spec.model.v0_5.TimeOutputAxis.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TimeOutputAxis.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.TimeOutputAxis.model_fields": {"fullname": "bioimageio.spec.model.v0_5.TimeOutputAxis.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TimeOutputAxis.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'size': FieldInfo(annotation=Union[Annotated[int, Gt], SizeReference], required=True, examples=[10, {'tensor_id': 't', 'axis_id': 'a', 'offset': 5}]), 'halo': FieldInfo(annotation=int, required=False, default=0, metadata=[Ge(ge=0)]), 'id': FieldInfo(annotation=AxisId, required=False, default='time', metadata=[Predicate(func=<function <lambda>>)]), 'description': FieldInfo(annotation=str, required=False, default='', metadata=[MaxLen(max_length=128)]), 'type': FieldInfo(annotation=Literal['time'], required=False, default='time'), 'unit': FieldInfo(annotation=Union[Literal['attosecond', 'centisecond', 'day', 'decisecond', 'exasecond', 'femtosecond', 'gigasecond', 'hectosecond', 'hour', 'kilosecond', 'megasecond', 'microsecond', 'millisecond', 'minute', 'nanosecond', 'petasecond', 'picosecond', 'second', 'terasecond', 'yoctosecond', 'yottasecond', 'zeptosecond', 'zettasecond'], NoneType], required=False), 'scale': FieldInfo(annotation=float, required=False, default=1.0, metadata=[Gt(gt=0)])}"}, "bioimageio.spec.model.v0_5.TimeOutputAxis.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.TimeOutputAxis.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TimeOutputAxis.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.SpaceOutputAxis": {"fullname": "bioimageio.spec.model.v0_5.SpaceOutputAxis", "modulename": "bioimageio.spec.model.v0_5", "qualname": "SpaceOutputAxis", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "SpaceAxisBase, WithHalo, _WithOutputAxisSize"}, "bioimageio.spec.model.v0_5.SpaceOutputAxis.model_config": {"fullname": "bioimageio.spec.model.v0_5.SpaceOutputAxis.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "SpaceOutputAxis.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.SpaceOutputAxis.model_fields": {"fullname": "bioimageio.spec.model.v0_5.SpaceOutputAxis.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "SpaceOutputAxis.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'size': FieldInfo(annotation=Union[Annotated[int, Gt], SizeReference], required=True, examples=[10, {'tensor_id': 't', 'axis_id': 'a', 'offset': 5}]), 'halo': FieldInfo(annotation=int, required=False, default=0, metadata=[Ge(ge=0)]), 'id': FieldInfo(annotation=AxisId, required=False, default='x', examples=['x', 'y', 'z'], metadata=[Predicate(func=<function <lambda>>)]), 'description': FieldInfo(annotation=str, required=False, default='', metadata=[MaxLen(max_length=128)]), 'type': FieldInfo(annotation=Literal['space'], required=False, default='space'), 'unit': FieldInfo(annotation=Union[Literal['attometer', 'angstrom', 'centimeter', 'decimeter', 'exameter', 'femtometer', 'foot', 'gigameter', 'hectometer', 'inch', 'kilometer', 'megameter', 'meter', 'micrometer', 'mile', 'millimeter', 'nanometer', 'parsec', 'petameter', 'picometer', 'terameter', 'yard', 'yoctometer', 'yottameter', 'zeptometer', 'zettameter'], NoneType], required=False), 'scale': FieldInfo(annotation=float, required=False, default=1.0, metadata=[Gt(gt=0)])}"}, "bioimageio.spec.model.v0_5.SpaceOutputAxis.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.SpaceOutputAxis.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "SpaceOutputAxis.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.OutputAxis": {"fullname": "bioimageio.spec.model.v0_5.OutputAxis", "modulename": "bioimageio.spec.model.v0_5", "qualname": "OutputAxis", "kind": "variable", "doc": "

\n", "default_value": "typing.Annotated[typing.Union[bioimageio.spec.model.v0_5.BatchAxis, bioimageio.spec.model.v0_5.ChannelAxis, bioimageio.spec.model.v0_5.IndexOutputAxis, bioimageio.spec.model.v0_5.TimeOutputAxis, bioimageio.spec.model.v0_5.SpaceOutputAxis], FieldInfo(annotation=NoneType, required=True, discriminator='type')]"}, "bioimageio.spec.model.v0_5.AnyAxis": {"fullname": "bioimageio.spec.model.v0_5.AnyAxis", "modulename": "bioimageio.spec.model.v0_5", "qualname": "AnyAxis", "kind": "variable", "doc": "

\n", "default_value": "typing.Union[typing.Annotated[typing.Union[bioimageio.spec.model.v0_5.BatchAxis, bioimageio.spec.model.v0_5.ChannelAxis, bioimageio.spec.model.v0_5.IndexInputAxis, bioimageio.spec.model.v0_5.TimeInputAxis, bioimageio.spec.model.v0_5.SpaceInputAxis], FieldInfo(annotation=NoneType, required=True, discriminator='type')], typing.Annotated[typing.Union[bioimageio.spec.model.v0_5.BatchAxis, bioimageio.spec.model.v0_5.ChannelAxis, bioimageio.spec.model.v0_5.IndexOutputAxis, bioimageio.spec.model.v0_5.TimeOutputAxis, bioimageio.spec.model.v0_5.SpaceOutputAxis], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]"}, "bioimageio.spec.model.v0_5.TVs": {"fullname": "bioimageio.spec.model.v0_5.TVs", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TVs", "kind": "variable", "doc": "

\n", "default_value": "typing.Union[typing.Annotated[typing.List[int], MinLen(min_length=1)], typing.Annotated[typing.List[float], MinLen(min_length=1)], typing.Annotated[typing.List[bool], MinLen(min_length=1)], typing.Annotated[typing.List[str], MinLen(min_length=1)]]"}, "bioimageio.spec.model.v0_5.NominalOrOrdinalDType": {"fullname": "bioimageio.spec.model.v0_5.NominalOrOrdinalDType", "modulename": "bioimageio.spec.model.v0_5", "qualname": "NominalOrOrdinalDType", "kind": "variable", "doc": "

\n", "default_value": "typing.Literal['float32', 'float64', 'uint8', 'int8', 'uint16', 'int16', 'uint32', 'int32', 'uint64', 'int64', 'bool']"}, "bioimageio.spec.model.v0_5.NominalOrOrdinalDataDescr": {"fullname": "bioimageio.spec.model.v0_5.NominalOrOrdinalDataDescr", "modulename": "bioimageio.spec.model.v0_5", "qualname": "NominalOrOrdinalDataDescr", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "bioimageio.spec._internal.node.Node"}, "bioimageio.spec.model.v0_5.NominalOrOrdinalDataDescr.values": {"fullname": "bioimageio.spec.model.v0_5.NominalOrOrdinalDataDescr.values", "modulename": "bioimageio.spec.model.v0_5", "qualname": "NominalOrOrdinalDataDescr.values", "kind": "variable", "doc": "

A fixed set of nominal or an ascending sequence of ordinal values.\nIn this case data_type is required to be an unsigend integer type, e.g. 'uint8'.\nString values are interpreted as labels for tensor values 0, ..., N.\nNote: as YAML 1.2 does not natively support a \"set\" datatype,\nnominal values should be given as a sequence (aka list/array) as well.

\n", "annotation": ": Union[Annotated[List[int], MinLen(min_length=1)], Annotated[List[float], MinLen(min_length=1)], Annotated[List[bool], MinLen(min_length=1)], Annotated[List[str], MinLen(min_length=1)]]"}, "bioimageio.spec.model.v0_5.NominalOrOrdinalDataDescr.type": {"fullname": "bioimageio.spec.model.v0_5.NominalOrOrdinalDataDescr.type", "modulename": "bioimageio.spec.model.v0_5", "qualname": "NominalOrOrdinalDataDescr.type", "kind": "variable", "doc": "

\n", "annotation": ": Annotated[Literal['float32', 'float64', 'uint8', 'int8', 'uint16', 'int16', 'uint32', 'int32', 'uint64', 'int64', 'bool'], FieldInfo(annotation=NoneType, required=True, examples=['float32', 'uint8', 'uint16', 'int64', 'bool'])]"}, "bioimageio.spec.model.v0_5.NominalOrOrdinalDataDescr.unit": {"fullname": "bioimageio.spec.model.v0_5.NominalOrOrdinalDataDescr.unit", "modulename": "bioimageio.spec.model.v0_5", "qualname": "NominalOrOrdinalDataDescr.unit", "kind": "variable", "doc": "

\n", "annotation": ": Union[Literal['arbitrary unit'], bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, StringConstraints, BeforeValidator]], NoneType]"}, "bioimageio.spec.model.v0_5.NominalOrOrdinalDataDescr.range": {"fullname": "bioimageio.spec.model.v0_5.NominalOrOrdinalDataDescr.range", "modulename": "bioimageio.spec.model.v0_5", "qualname": "NominalOrOrdinalDataDescr.range", "kind": "variable", "doc": "

\n"}, "bioimageio.spec.model.v0_5.NominalOrOrdinalDataDescr.model_config": {"fullname": "bioimageio.spec.model.v0_5.NominalOrOrdinalDataDescr.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "NominalOrOrdinalDataDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.NominalOrOrdinalDataDescr.model_fields": {"fullname": "bioimageio.spec.model.v0_5.NominalOrOrdinalDataDescr.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "NominalOrOrdinalDataDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'values': FieldInfo(annotation=Union[Annotated[List[int], MinLen], Annotated[List[float], MinLen], Annotated[List[bool], MinLen], Annotated[List[str], MinLen]], required=True), 'type': FieldInfo(annotation=Literal['float32', 'float64', 'uint8', 'int8', 'uint16', 'int16', 'uint32', 'int32', 'uint64', 'int64', 'bool'], required=False, default='uint8', examples=['float32', 'uint8', 'uint16', 'int64', 'bool']), 'unit': FieldInfo(annotation=Union[Literal['arbitrary unit'], ValidatedString[Annotated[str, StringConstraints, BeforeValidator]], NoneType], required=False)}"}, "bioimageio.spec.model.v0_5.NominalOrOrdinalDataDescr.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.NominalOrOrdinalDataDescr.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "NominalOrOrdinalDataDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.IntervalOrRatioDType": {"fullname": "bioimageio.spec.model.v0_5.IntervalOrRatioDType", "modulename": "bioimageio.spec.model.v0_5", "qualname": "IntervalOrRatioDType", "kind": "variable", "doc": "

\n", "default_value": "typing.Literal['float32', 'float64', 'uint8', 'int8', 'uint16', 'int16', 'uint32', 'int32', 'uint64', 'int64']"}, "bioimageio.spec.model.v0_5.IntervalOrRatioDataDescr": {"fullname": "bioimageio.spec.model.v0_5.IntervalOrRatioDataDescr", "modulename": "bioimageio.spec.model.v0_5", "qualname": "IntervalOrRatioDataDescr", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "bioimageio.spec._internal.node.Node"}, "bioimageio.spec.model.v0_5.IntervalOrRatioDataDescr.type": {"fullname": "bioimageio.spec.model.v0_5.IntervalOrRatioDataDescr.type", "modulename": "bioimageio.spec.model.v0_5", "qualname": "IntervalOrRatioDataDescr.type", "kind": "variable", "doc": "

\n", "annotation": ": Annotated[Literal['float32', 'float64', 'uint8', 'int8', 'uint16', 'int16', 'uint32', 'int32', 'uint64', 'int64'], FieldInfo(annotation=NoneType, required=True, examples=['float32', 'float64', 'uint8', 'uint16'])]"}, "bioimageio.spec.model.v0_5.IntervalOrRatioDataDescr.range": {"fullname": "bioimageio.spec.model.v0_5.IntervalOrRatioDataDescr.range", "modulename": "bioimageio.spec.model.v0_5", "qualname": "IntervalOrRatioDataDescr.range", "kind": "variable", "doc": "

Tuple (minimum, maximum) specifying the allowed range of the data in this tensor.\nNone corresponds to min/max of what can be expressed by data_type.

\n", "annotation": ": Tuple[Optional[float], Optional[float]]"}, "bioimageio.spec.model.v0_5.IntervalOrRatioDataDescr.unit": {"fullname": "bioimageio.spec.model.v0_5.IntervalOrRatioDataDescr.unit", "modulename": "bioimageio.spec.model.v0_5", "qualname": "IntervalOrRatioDataDescr.unit", "kind": "variable", "doc": "

\n", "annotation": ": Union[Literal['arbitrary unit'], bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, StringConstraints, BeforeValidator]]]"}, "bioimageio.spec.model.v0_5.IntervalOrRatioDataDescr.scale": {"fullname": "bioimageio.spec.model.v0_5.IntervalOrRatioDataDescr.scale", "modulename": "bioimageio.spec.model.v0_5", "qualname": "IntervalOrRatioDataDescr.scale", "kind": "variable", "doc": "

Scale for data on an interval (or ratio) scale.

\n", "annotation": ": float"}, "bioimageio.spec.model.v0_5.IntervalOrRatioDataDescr.offset": {"fullname": "bioimageio.spec.model.v0_5.IntervalOrRatioDataDescr.offset", "modulename": "bioimageio.spec.model.v0_5", "qualname": "IntervalOrRatioDataDescr.offset", "kind": "variable", "doc": "

Offset for data on a ratio scale.

\n", "annotation": ": Optional[float]"}, "bioimageio.spec.model.v0_5.IntervalOrRatioDataDescr.model_config": {"fullname": "bioimageio.spec.model.v0_5.IntervalOrRatioDataDescr.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "IntervalOrRatioDataDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.IntervalOrRatioDataDescr.model_fields": {"fullname": "bioimageio.spec.model.v0_5.IntervalOrRatioDataDescr.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "IntervalOrRatioDataDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'type': FieldInfo(annotation=Literal['float32', 'float64', 'uint8', 'int8', 'uint16', 'int16', 'uint32', 'int32', 'uint64', 'int64'], required=False, default='float32', examples=['float32', 'float64', 'uint8', 'uint16']), 'range': FieldInfo(annotation=Tuple[Union[float, NoneType], Union[float, NoneType]], required=False, default=(None, None)), 'unit': FieldInfo(annotation=Union[Literal['arbitrary unit'], ValidatedString[Annotated[str, StringConstraints, BeforeValidator]]], required=False, default='arbitrary unit'), 'scale': FieldInfo(annotation=float, required=False, default=1.0), 'offset': FieldInfo(annotation=Union[float, NoneType], required=False)}"}, "bioimageio.spec.model.v0_5.IntervalOrRatioDataDescr.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.IntervalOrRatioDataDescr.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "IntervalOrRatioDataDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.TensorDataDescr": {"fullname": "bioimageio.spec.model.v0_5.TensorDataDescr", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TensorDataDescr", "kind": "variable", "doc": "

\n", "default_value": "typing.Union[bioimageio.spec.model.v0_5.NominalOrOrdinalDataDescr, bioimageio.spec.model.v0_5.IntervalOrRatioDataDescr]"}, "bioimageio.spec.model.v0_5.ProcessingDescrBase": {"fullname": "bioimageio.spec.model.v0_5.ProcessingDescrBase", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ProcessingDescrBase", "kind": "class", "doc": "

processing base class

\n", "bases": "bioimageio.spec._internal.common_nodes.NodeWithExplicitlySetFields, abc.ABC"}, "bioimageio.spec.model.v0_5.ProcessingDescrBase.fields_to_set_explicitly": {"fullname": "bioimageio.spec.model.v0_5.ProcessingDescrBase.fields_to_set_explicitly", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ProcessingDescrBase.fields_to_set_explicitly", "kind": "variable", "doc": "

set set these fields explicitly with their default value if they are not set,\nsuch that they are always included even when dumping with 'exlude_unset'

\n", "annotation": ": ClassVar[FrozenSet[LiteralString]]", "default_value": "frozenset({'id'})"}, "bioimageio.spec.model.v0_5.ProcessingDescrBase.model_config": {"fullname": "bioimageio.spec.model.v0_5.ProcessingDescrBase.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ProcessingDescrBase.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.ProcessingDescrBase.model_fields": {"fullname": "bioimageio.spec.model.v0_5.ProcessingDescrBase.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ProcessingDescrBase.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.ProcessingDescrBase.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.ProcessingDescrBase.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ProcessingDescrBase.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.BinarizeDescr": {"fullname": "bioimageio.spec.model.v0_5.BinarizeDescr", "modulename": "bioimageio.spec.model.v0_5", "qualname": "BinarizeDescr", "kind": "class", "doc": "

Binarize the tensor with a fixed threshold.\nValues above the threshold will be set to one, values below the threshold to zero.

\n", "bases": "ProcessingDescrBase"}, "bioimageio.spec.model.v0_5.BinarizeDescr.id": {"fullname": "bioimageio.spec.model.v0_5.BinarizeDescr.id", "modulename": "bioimageio.spec.model.v0_5", "qualname": "BinarizeDescr.id", "kind": "variable", "doc": "

\n", "annotation": ": Literal['binarize']"}, "bioimageio.spec.model.v0_5.BinarizeDescr.kwargs": {"fullname": "bioimageio.spec.model.v0_5.BinarizeDescr.kwargs", "modulename": "bioimageio.spec.model.v0_5", "qualname": "BinarizeDescr.kwargs", "kind": "variable", "doc": "

\n", "annotation": ": bioimageio.spec.model.v0_4.BinarizeKwargs"}, "bioimageio.spec.model.v0_5.BinarizeDescr.model_config": {"fullname": "bioimageio.spec.model.v0_5.BinarizeDescr.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "BinarizeDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.BinarizeDescr.model_fields": {"fullname": "bioimageio.spec.model.v0_5.BinarizeDescr.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "BinarizeDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'id': FieldInfo(annotation=Literal['binarize'], required=False, default='binarize'), 'kwargs': FieldInfo(annotation=BinarizeKwargs, required=True)}"}, "bioimageio.spec.model.v0_5.BinarizeDescr.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.BinarizeDescr.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "BinarizeDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.ClipDescr": {"fullname": "bioimageio.spec.model.v0_5.ClipDescr", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ClipDescr", "kind": "class", "doc": "

Set tensor values below min to min and above max to max.

\n", "bases": "ProcessingDescrBase"}, "bioimageio.spec.model.v0_5.ClipDescr.id": {"fullname": "bioimageio.spec.model.v0_5.ClipDescr.id", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ClipDescr.id", "kind": "variable", "doc": "

\n", "annotation": ": Literal['clip']"}, "bioimageio.spec.model.v0_5.ClipDescr.kwargs": {"fullname": "bioimageio.spec.model.v0_5.ClipDescr.kwargs", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ClipDescr.kwargs", "kind": "variable", "doc": "

\n", "annotation": ": bioimageio.spec.model.v0_4.ClipKwargs"}, "bioimageio.spec.model.v0_5.ClipDescr.model_config": {"fullname": "bioimageio.spec.model.v0_5.ClipDescr.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ClipDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.ClipDescr.model_fields": {"fullname": "bioimageio.spec.model.v0_5.ClipDescr.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ClipDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'id': FieldInfo(annotation=Literal['clip'], required=False, default='clip'), 'kwargs': FieldInfo(annotation=ClipKwargs, required=True)}"}, "bioimageio.spec.model.v0_5.ClipDescr.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.ClipDescr.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ClipDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.EnsureDtypeKwargs": {"fullname": "bioimageio.spec.model.v0_5.EnsureDtypeKwargs", "modulename": "bioimageio.spec.model.v0_5", "qualname": "EnsureDtypeKwargs", "kind": "class", "doc": "

base class for pre-/postprocessing key word arguments

\n", "bases": "bioimageio.spec.model.v0_4.ProcessingKwargs"}, "bioimageio.spec.model.v0_5.EnsureDtypeKwargs.dtype": {"fullname": "bioimageio.spec.model.v0_5.EnsureDtypeKwargs.dtype", "modulename": "bioimageio.spec.model.v0_5", "qualname": "EnsureDtypeKwargs.dtype", "kind": "variable", "doc": "

\n", "annotation": ": str"}, "bioimageio.spec.model.v0_5.EnsureDtypeKwargs.model_config": {"fullname": "bioimageio.spec.model.v0_5.EnsureDtypeKwargs.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "EnsureDtypeKwargs.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.EnsureDtypeKwargs.model_fields": {"fullname": "bioimageio.spec.model.v0_5.EnsureDtypeKwargs.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "EnsureDtypeKwargs.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'dtype': FieldInfo(annotation=str, required=True)}"}, "bioimageio.spec.model.v0_5.EnsureDtypeKwargs.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.EnsureDtypeKwargs.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "EnsureDtypeKwargs.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.EnsureDtypeDescr": {"fullname": "bioimageio.spec.model.v0_5.EnsureDtypeDescr", "modulename": "bioimageio.spec.model.v0_5", "qualname": "EnsureDtypeDescr", "kind": "class", "doc": "

processing base class

\n", "bases": "ProcessingDescrBase"}, "bioimageio.spec.model.v0_5.EnsureDtypeDescr.id": {"fullname": "bioimageio.spec.model.v0_5.EnsureDtypeDescr.id", "modulename": "bioimageio.spec.model.v0_5", "qualname": "EnsureDtypeDescr.id", "kind": "variable", "doc": "

\n", "annotation": ": Literal['ensure_dtype']"}, "bioimageio.spec.model.v0_5.EnsureDtypeDescr.kwargs": {"fullname": "bioimageio.spec.model.v0_5.EnsureDtypeDescr.kwargs", "modulename": "bioimageio.spec.model.v0_5", "qualname": "EnsureDtypeDescr.kwargs", "kind": "variable", "doc": "

\n", "annotation": ": bioimageio.spec.model.v0_5.EnsureDtypeKwargs"}, "bioimageio.spec.model.v0_5.EnsureDtypeDescr.model_config": {"fullname": "bioimageio.spec.model.v0_5.EnsureDtypeDescr.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "EnsureDtypeDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.EnsureDtypeDescr.model_fields": {"fullname": "bioimageio.spec.model.v0_5.EnsureDtypeDescr.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "EnsureDtypeDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'id': FieldInfo(annotation=Literal['ensure_dtype'], required=False, default='ensure_dtype'), 'kwargs': FieldInfo(annotation=EnsureDtypeKwargs, required=True)}"}, "bioimageio.spec.model.v0_5.EnsureDtypeDescr.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.EnsureDtypeDescr.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "EnsureDtypeDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.ScaleLinearKwargs": {"fullname": "bioimageio.spec.model.v0_5.ScaleLinearKwargs", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ScaleLinearKwargs", "kind": "class", "doc": "

base class for pre-/postprocessing key word arguments

\n", "bases": "bioimageio.spec.model.v0_4.ProcessingKwargs"}, "bioimageio.spec.model.v0_5.ScaleLinearKwargs.axis": {"fullname": "bioimageio.spec.model.v0_5.ScaleLinearKwargs.axis", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ScaleLinearKwargs.axis", "kind": "variable", "doc": "

The axis of non-scalar gains/offsets.\nInvalid for scalar gains/offsets.

\n", "annotation": ": Annotated[Optional[Annotated[bioimageio.spec.model.v0_5.AxisId, Predicate(func=<function <lambda> at 0x7f453532b7e0>)]], FieldInfo(annotation=NoneType, required=True, examples=['channel'])]"}, "bioimageio.spec.model.v0_5.ScaleLinearKwargs.gain": {"fullname": "bioimageio.spec.model.v0_5.ScaleLinearKwargs.gain", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ScaleLinearKwargs.gain", "kind": "variable", "doc": "

multiplicative factor

\n", "annotation": ": Union[float, Annotated[List[float], MinLen(min_length=1)]]"}, "bioimageio.spec.model.v0_5.ScaleLinearKwargs.offset": {"fullname": "bioimageio.spec.model.v0_5.ScaleLinearKwargs.offset", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ScaleLinearKwargs.offset", "kind": "variable", "doc": "

additive term

\n", "annotation": ": Union[float, Annotated[List[float], MinLen(min_length=1)]]"}, "bioimageio.spec.model.v0_5.ScaleLinearKwargs.either_gain_or_offset": {"fullname": "bioimageio.spec.model.v0_5.ScaleLinearKwargs.either_gain_or_offset", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ScaleLinearKwargs.either_gain_or_offset", "kind": "function", "doc": "

\n", "signature": "(self) -> Self:", "funcdef": "def"}, "bioimageio.spec.model.v0_5.ScaleLinearKwargs.model_config": {"fullname": "bioimageio.spec.model.v0_5.ScaleLinearKwargs.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ScaleLinearKwargs.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.ScaleLinearKwargs.model_fields": {"fullname": "bioimageio.spec.model.v0_5.ScaleLinearKwargs.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ScaleLinearKwargs.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'axis': FieldInfo(annotation=Union[Annotated[AxisId, Predicate], NoneType], required=False, examples=['channel']), 'gain': FieldInfo(annotation=Union[float, Annotated[List[float], MinLen]], required=False, default=1.0), 'offset': FieldInfo(annotation=Union[float, Annotated[List[float], MinLen]], required=False, default=0.0)}"}, "bioimageio.spec.model.v0_5.ScaleLinearKwargs.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.ScaleLinearKwargs.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ScaleLinearKwargs.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.ScaleLinearDescr": {"fullname": "bioimageio.spec.model.v0_5.ScaleLinearDescr", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ScaleLinearDescr", "kind": "class", "doc": "

Fixed linear scaling.

\n", "bases": "ProcessingDescrBase"}, "bioimageio.spec.model.v0_5.ScaleLinearDescr.id": {"fullname": "bioimageio.spec.model.v0_5.ScaleLinearDescr.id", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ScaleLinearDescr.id", "kind": "variable", "doc": "

\n", "annotation": ": Literal['scale_linear']"}, "bioimageio.spec.model.v0_5.ScaleLinearDescr.kwargs": {"fullname": "bioimageio.spec.model.v0_5.ScaleLinearDescr.kwargs", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ScaleLinearDescr.kwargs", "kind": "variable", "doc": "

\n", "annotation": ": bioimageio.spec.model.v0_5.ScaleLinearKwargs"}, "bioimageio.spec.model.v0_5.ScaleLinearDescr.model_config": {"fullname": "bioimageio.spec.model.v0_5.ScaleLinearDescr.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ScaleLinearDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.ScaleLinearDescr.model_fields": {"fullname": "bioimageio.spec.model.v0_5.ScaleLinearDescr.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ScaleLinearDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'id': FieldInfo(annotation=Literal['scale_linear'], required=False, default='scale_linear'), 'kwargs': FieldInfo(annotation=ScaleLinearKwargs, required=True)}"}, "bioimageio.spec.model.v0_5.ScaleLinearDescr.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.ScaleLinearDescr.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ScaleLinearDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.SigmoidDescr": {"fullname": "bioimageio.spec.model.v0_5.SigmoidDescr", "modulename": "bioimageio.spec.model.v0_5", "qualname": "SigmoidDescr", "kind": "class", "doc": "

The logistic sigmoid funciton, a.k.a. expit function.

\n", "bases": "ProcessingDescrBase"}, "bioimageio.spec.model.v0_5.SigmoidDescr.id": {"fullname": "bioimageio.spec.model.v0_5.SigmoidDescr.id", "modulename": "bioimageio.spec.model.v0_5", "qualname": "SigmoidDescr.id", "kind": "variable", "doc": "

\n", "annotation": ": Literal['sigmoid']"}, "bioimageio.spec.model.v0_5.SigmoidDescr.kwargs": {"fullname": "bioimageio.spec.model.v0_5.SigmoidDescr.kwargs", "modulename": "bioimageio.spec.model.v0_5", "qualname": "SigmoidDescr.kwargs", "kind": "variable", "doc": "

empty kwargs

\n", "annotation": ": bioimageio.spec.model.v0_4.ProcessingKwargs"}, "bioimageio.spec.model.v0_5.SigmoidDescr.model_config": {"fullname": "bioimageio.spec.model.v0_5.SigmoidDescr.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "SigmoidDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.SigmoidDescr.model_fields": {"fullname": "bioimageio.spec.model.v0_5.SigmoidDescr.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "SigmoidDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'id': FieldInfo(annotation=Literal['sigmoid'], required=False, default='sigmoid')}"}, "bioimageio.spec.model.v0_5.SigmoidDescr.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.SigmoidDescr.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "SigmoidDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.FixedZeroMeanUnitVarianceKwargs": {"fullname": "bioimageio.spec.model.v0_5.FixedZeroMeanUnitVarianceKwargs", "modulename": "bioimageio.spec.model.v0_5", "qualname": "FixedZeroMeanUnitVarianceKwargs", "kind": "class", "doc": "

Normalize with fixed, precomputed values for mean and variance.\nSee zero_mean_unit_variance for data dependent normalization.

\n", "bases": "bioimageio.spec.model.v0_4.ProcessingKwargs"}, "bioimageio.spec.model.v0_5.FixedZeroMeanUnitVarianceKwargs.mean": {"fullname": "bioimageio.spec.model.v0_5.FixedZeroMeanUnitVarianceKwargs.mean", "modulename": "bioimageio.spec.model.v0_5", "qualname": "FixedZeroMeanUnitVarianceKwargs.mean", "kind": "variable", "doc": "

The mean value(s) to normalize with. Specify axis for a sequence of mean values

\n", "annotation": ": Annotated[Union[float, Annotated[Tuple[float, ...], MinLen(min_length=1)]], FieldInfo(annotation=NoneType, required=True, examples=[3.14, (1.1, -2.2, 3.3)])]"}, "bioimageio.spec.model.v0_5.FixedZeroMeanUnitVarianceKwargs.std": {"fullname": "bioimageio.spec.model.v0_5.FixedZeroMeanUnitVarianceKwargs.std", "modulename": "bioimageio.spec.model.v0_5", "qualname": "FixedZeroMeanUnitVarianceKwargs.std", "kind": "variable", "doc": "

The standard deviation value(s) to normalize with. Size must match mean values.

\n", "annotation": ": Annotated[Union[Annotated[float, Ge(ge=1e-06)], Annotated[Tuple[Annotated[float, Ge(ge=1e-06)], ...], MinLen(min_length=1)]], FieldInfo(annotation=NoneType, required=True, examples=[1.05, (0.1, 0.2, 0.3)])]"}, "bioimageio.spec.model.v0_5.FixedZeroMeanUnitVarianceKwargs.axis": {"fullname": "bioimageio.spec.model.v0_5.FixedZeroMeanUnitVarianceKwargs.axis", "modulename": "bioimageio.spec.model.v0_5", "qualname": "FixedZeroMeanUnitVarianceKwargs.axis", "kind": "variable", "doc": "

The axis of the mean/std values to normalize each entry along that dimension separately.\nInvalid for scalar gains/offsets.

\n", "annotation": ": Annotated[Optional[Annotated[bioimageio.spec.model.v0_5.AxisId, Predicate(func=<function <lambda> at 0x7f453532b7e0>)]], FieldInfo(annotation=NoneType, required=True, examples=['channel', 'index'])]"}, "bioimageio.spec.model.v0_5.FixedZeroMeanUnitVarianceKwargs.mean_and_std_match": {"fullname": "bioimageio.spec.model.v0_5.FixedZeroMeanUnitVarianceKwargs.mean_and_std_match", "modulename": "bioimageio.spec.model.v0_5", "qualname": "FixedZeroMeanUnitVarianceKwargs.mean_and_std_match", "kind": "function", "doc": "

\n", "signature": "(self) -> Self:", "funcdef": "def"}, "bioimageio.spec.model.v0_5.FixedZeroMeanUnitVarianceKwargs.model_config": {"fullname": "bioimageio.spec.model.v0_5.FixedZeroMeanUnitVarianceKwargs.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "FixedZeroMeanUnitVarianceKwargs.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.FixedZeroMeanUnitVarianceKwargs.model_fields": {"fullname": "bioimageio.spec.model.v0_5.FixedZeroMeanUnitVarianceKwargs.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "FixedZeroMeanUnitVarianceKwargs.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'mean': FieldInfo(annotation=Union[float, Annotated[Tuple[float, ...], MinLen]], required=True, examples=[3.14, (1.1, -2.2, 3.3)]), 'std': FieldInfo(annotation=Union[Annotated[float, Ge], Annotated[Tuple[Annotated[float, Ge], ...], MinLen]], required=True, examples=[1.05, (0.1, 0.2, 0.3)]), 'axis': FieldInfo(annotation=Union[Annotated[AxisId, Predicate], NoneType], required=False, examples=['channel', 'index'])}"}, "bioimageio.spec.model.v0_5.FixedZeroMeanUnitVarianceKwargs.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.FixedZeroMeanUnitVarianceKwargs.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "FixedZeroMeanUnitVarianceKwargs.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.FixedZeroMeanUnitVarianceDescr": {"fullname": "bioimageio.spec.model.v0_5.FixedZeroMeanUnitVarianceDescr", "modulename": "bioimageio.spec.model.v0_5", "qualname": "FixedZeroMeanUnitVarianceDescr", "kind": "class", "doc": "

Subtract a given mean and divide by a given variance.

\n", "bases": "ProcessingDescrBase"}, "bioimageio.spec.model.v0_5.FixedZeroMeanUnitVarianceDescr.id": {"fullname": "bioimageio.spec.model.v0_5.FixedZeroMeanUnitVarianceDescr.id", "modulename": "bioimageio.spec.model.v0_5", "qualname": "FixedZeroMeanUnitVarianceDescr.id", "kind": "variable", "doc": "

\n", "annotation": ": Literal['fixed_zero_mean_unit_variance']"}, "bioimageio.spec.model.v0_5.FixedZeroMeanUnitVarianceDescr.kwargs": {"fullname": "bioimageio.spec.model.v0_5.FixedZeroMeanUnitVarianceDescr.kwargs", "modulename": "bioimageio.spec.model.v0_5", "qualname": "FixedZeroMeanUnitVarianceDescr.kwargs", "kind": "variable", "doc": "

\n", "annotation": ": bioimageio.spec.model.v0_5.FixedZeroMeanUnitVarianceKwargs"}, "bioimageio.spec.model.v0_5.FixedZeroMeanUnitVarianceDescr.model_config": {"fullname": "bioimageio.spec.model.v0_5.FixedZeroMeanUnitVarianceDescr.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "FixedZeroMeanUnitVarianceDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.FixedZeroMeanUnitVarianceDescr.model_fields": {"fullname": "bioimageio.spec.model.v0_5.FixedZeroMeanUnitVarianceDescr.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "FixedZeroMeanUnitVarianceDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'id': FieldInfo(annotation=Literal['fixed_zero_mean_unit_variance'], required=False, default='fixed_zero_mean_unit_variance'), 'kwargs': FieldInfo(annotation=FixedZeroMeanUnitVarianceKwargs, required=True)}"}, "bioimageio.spec.model.v0_5.FixedZeroMeanUnitVarianceDescr.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.FixedZeroMeanUnitVarianceDescr.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "FixedZeroMeanUnitVarianceDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.ZeroMeanUnitVarianceKwargs": {"fullname": "bioimageio.spec.model.v0_5.ZeroMeanUnitVarianceKwargs", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ZeroMeanUnitVarianceKwargs", "kind": "class", "doc": "

base class for pre-/postprocessing key word arguments

\n", "bases": "bioimageio.spec.model.v0_4.ProcessingKwargs"}, "bioimageio.spec.model.v0_5.ZeroMeanUnitVarianceKwargs.axes": {"fullname": "bioimageio.spec.model.v0_5.ZeroMeanUnitVarianceKwargs.axes", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ZeroMeanUnitVarianceKwargs.axes", "kind": "variable", "doc": "

The subset of axes to normalize jointly, i.e. axes to reduce to compute mean/std.\nFor example to normalize 'batch', 'x' and 'y' jointly in a tensor ('batch', 'channel', 'y', 'x')\nresulting in a tensor of equal shape normalized per channel, specify axes=('batch', 'x', 'y').\nTo normalize each sample independently leave out the 'batch' axis.\nDefault: Scale all axes jointly.

\n", "annotation": ": Annotated[Optional[Sequence[bioimageio.spec.model.v0_5.AxisId]], FieldInfo(annotation=NoneType, required=True, examples=[('batch', 'x', 'y')])]"}, "bioimageio.spec.model.v0_5.ZeroMeanUnitVarianceKwargs.eps": {"fullname": "bioimageio.spec.model.v0_5.ZeroMeanUnitVarianceKwargs.eps", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ZeroMeanUnitVarianceKwargs.eps", "kind": "variable", "doc": "

epsilon for numeric stability: out = (tensor - mean) / (std + eps).

\n", "annotation": ": Annotated[float, Interval(gt=0, ge=None, lt=None, le=0.1)]"}, "bioimageio.spec.model.v0_5.ZeroMeanUnitVarianceKwargs.model_config": {"fullname": "bioimageio.spec.model.v0_5.ZeroMeanUnitVarianceKwargs.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ZeroMeanUnitVarianceKwargs.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.ZeroMeanUnitVarianceKwargs.model_fields": {"fullname": "bioimageio.spec.model.v0_5.ZeroMeanUnitVarianceKwargs.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ZeroMeanUnitVarianceKwargs.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'axes': FieldInfo(annotation=Union[Sequence[AxisId], NoneType], required=False, examples=[('batch', 'x', 'y')]), 'eps': FieldInfo(annotation=float, required=False, default=1e-06, metadata=[Interval(gt=0, ge=None, lt=None, le=0.1)])}"}, "bioimageio.spec.model.v0_5.ZeroMeanUnitVarianceKwargs.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.ZeroMeanUnitVarianceKwargs.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ZeroMeanUnitVarianceKwargs.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.ZeroMeanUnitVarianceDescr": {"fullname": "bioimageio.spec.model.v0_5.ZeroMeanUnitVarianceDescr", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ZeroMeanUnitVarianceDescr", "kind": "class", "doc": "

Subtract mean and divide by variance.

\n", "bases": "ProcessingDescrBase"}, "bioimageio.spec.model.v0_5.ZeroMeanUnitVarianceDescr.id": {"fullname": "bioimageio.spec.model.v0_5.ZeroMeanUnitVarianceDescr.id", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ZeroMeanUnitVarianceDescr.id", "kind": "variable", "doc": "

\n", "annotation": ": Literal['zero_mean_unit_variance']"}, "bioimageio.spec.model.v0_5.ZeroMeanUnitVarianceDescr.kwargs": {"fullname": "bioimageio.spec.model.v0_5.ZeroMeanUnitVarianceDescr.kwargs", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ZeroMeanUnitVarianceDescr.kwargs", "kind": "variable", "doc": "

\n", "annotation": ": bioimageio.spec.model.v0_5.ZeroMeanUnitVarianceKwargs"}, "bioimageio.spec.model.v0_5.ZeroMeanUnitVarianceDescr.model_config": {"fullname": "bioimageio.spec.model.v0_5.ZeroMeanUnitVarianceDescr.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ZeroMeanUnitVarianceDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.ZeroMeanUnitVarianceDescr.model_fields": {"fullname": "bioimageio.spec.model.v0_5.ZeroMeanUnitVarianceDescr.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ZeroMeanUnitVarianceDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'id': FieldInfo(annotation=Literal['zero_mean_unit_variance'], required=False, default='zero_mean_unit_variance'), 'kwargs': FieldInfo(annotation=ZeroMeanUnitVarianceKwargs, required=True)}"}, "bioimageio.spec.model.v0_5.ZeroMeanUnitVarianceDescr.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.ZeroMeanUnitVarianceDescr.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ZeroMeanUnitVarianceDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.ScaleRangeKwargs": {"fullname": "bioimageio.spec.model.v0_5.ScaleRangeKwargs", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ScaleRangeKwargs", "kind": "class", "doc": "

base class for pre-/postprocessing key word arguments

\n", "bases": "bioimageio.spec.model.v0_4.ProcessingKwargs"}, "bioimageio.spec.model.v0_5.ScaleRangeKwargs.axes": {"fullname": "bioimageio.spec.model.v0_5.ScaleRangeKwargs.axes", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ScaleRangeKwargs.axes", "kind": "variable", "doc": "

The subset of axes to normalize jointly, i.e. axes to reduce to compute the min/max percentile value.\nFor example to normalize 'batch', 'x' and 'y' jointly in a tensor ('batch', 'channel', 'y', 'x')\nresulting in a tensor of equal shape normalized per channel, specify axes=('batch', 'x', 'y').\nTo normalize samples indepdencently, leave out the \"batch\" axis.\nDefault: Scale all axes jointly.

\n", "annotation": ": Annotated[Optional[Sequence[bioimageio.spec.model.v0_5.AxisId]], FieldInfo(annotation=NoneType, required=True, examples=[('batch', 'x', 'y')])]"}, "bioimageio.spec.model.v0_5.ScaleRangeKwargs.min_percentile": {"fullname": "bioimageio.spec.model.v0_5.ScaleRangeKwargs.min_percentile", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ScaleRangeKwargs.min_percentile", "kind": "variable", "doc": "

The lower percentile used for normalization.

\n", "annotation": ": Annotated[float, Interval(gt=None, ge=0, lt=100, le=None)]"}, "bioimageio.spec.model.v0_5.ScaleRangeKwargs.max_percentile": {"fullname": "bioimageio.spec.model.v0_5.ScaleRangeKwargs.max_percentile", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ScaleRangeKwargs.max_percentile", "kind": "variable", "doc": "

The upper percentile used for normalization\nHas to be bigger than min_percentile.\nThe range is 1 to 100 instead of 0 to 100 to avoid mistakenly\naccepting percentiles specified in the range 0.0 to 1.0.

\n", "annotation": ": Annotated[float, Interval(gt=1, ge=None, lt=None, le=100)]"}, "bioimageio.spec.model.v0_5.ScaleRangeKwargs.eps": {"fullname": "bioimageio.spec.model.v0_5.ScaleRangeKwargs.eps", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ScaleRangeKwargs.eps", "kind": "variable", "doc": "

Epsilon for numeric stability.\nout = (tensor - v_lower) / (v_upper - v_lower + eps);\nwith v_lower,v_upper values at the respective percentiles.

\n", "annotation": ": Annotated[float, Interval(gt=0, ge=None, lt=None, le=0.1)]"}, "bioimageio.spec.model.v0_5.ScaleRangeKwargs.reference_tensor": {"fullname": "bioimageio.spec.model.v0_5.ScaleRangeKwargs.reference_tensor", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ScaleRangeKwargs.reference_tensor", "kind": "variable", "doc": "

Tensor ID to compute the percentiles from. Default: The tensor itself.\nFor any tensor in inputs only input tensor references are allowed.

\n", "annotation": ": Optional[bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, AfterValidator, AfterValidator, Annotated[TypeVar, Predicate], MaxLen]]]"}, "bioimageio.spec.model.v0_5.ScaleRangeKwargs.min_smaller_max": {"fullname": "bioimageio.spec.model.v0_5.ScaleRangeKwargs.min_smaller_max", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ScaleRangeKwargs.min_smaller_max", "kind": "function", "doc": "

\n", "signature": "(\tcls,\tvalue: float,\tinfo: pydantic_core.core_schema.ValidationInfo) -> float:", "funcdef": "def"}, "bioimageio.spec.model.v0_5.ScaleRangeKwargs.model_config": {"fullname": "bioimageio.spec.model.v0_5.ScaleRangeKwargs.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ScaleRangeKwargs.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.ScaleRangeKwargs.model_fields": {"fullname": "bioimageio.spec.model.v0_5.ScaleRangeKwargs.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ScaleRangeKwargs.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'axes': FieldInfo(annotation=Union[Sequence[AxisId], NoneType], required=False, examples=[('batch', 'x', 'y')]), 'min_percentile': FieldInfo(annotation=float, required=False, default=0.0, metadata=[Interval(gt=None, ge=0, lt=100, le=None)]), 'max_percentile': FieldInfo(annotation=float, required=False, default=100.0, metadata=[Interval(gt=1, ge=None, lt=None, le=100)]), 'eps': FieldInfo(annotation=float, required=False, default=1e-06, metadata=[Interval(gt=0, ge=None, lt=None, le=0.1)]), 'reference_tensor': FieldInfo(annotation=Union[ValidatedString[Annotated[str, MinLen, AfterValidator, AfterValidator, Annotated[TypeVar, Predicate], MaxLen]], NoneType], required=False)}"}, "bioimageio.spec.model.v0_5.ScaleRangeKwargs.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.ScaleRangeKwargs.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ScaleRangeKwargs.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.ScaleRangeDescr": {"fullname": "bioimageio.spec.model.v0_5.ScaleRangeDescr", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ScaleRangeDescr", "kind": "class", "doc": "

Scale with percentiles.

\n", "bases": "ProcessingDescrBase"}, "bioimageio.spec.model.v0_5.ScaleRangeDescr.id": {"fullname": "bioimageio.spec.model.v0_5.ScaleRangeDescr.id", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ScaleRangeDescr.id", "kind": "variable", "doc": "

\n", "annotation": ": Literal['scale_range']"}, "bioimageio.spec.model.v0_5.ScaleRangeDescr.kwargs": {"fullname": "bioimageio.spec.model.v0_5.ScaleRangeDescr.kwargs", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ScaleRangeDescr.kwargs", "kind": "variable", "doc": "

\n", "annotation": ": bioimageio.spec.model.v0_5.ScaleRangeKwargs"}, "bioimageio.spec.model.v0_5.ScaleRangeDescr.model_config": {"fullname": "bioimageio.spec.model.v0_5.ScaleRangeDescr.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ScaleRangeDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.ScaleRangeDescr.model_fields": {"fullname": "bioimageio.spec.model.v0_5.ScaleRangeDescr.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ScaleRangeDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'id': FieldInfo(annotation=Literal['scale_range'], required=False, default='scale_range'), 'kwargs': FieldInfo(annotation=ScaleRangeKwargs, required=True)}"}, "bioimageio.spec.model.v0_5.ScaleRangeDescr.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.ScaleRangeDescr.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ScaleRangeDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.ScaleMeanVarianceKwargs": {"fullname": "bioimageio.spec.model.v0_5.ScaleMeanVarianceKwargs", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ScaleMeanVarianceKwargs", "kind": "class", "doc": "

Scale a tensor's data distribution to match another tensor's mean/std.\nout = (tensor - mean) / (std + eps) * (ref_std + eps) + ref_mean.

\n", "bases": "bioimageio.spec.model.v0_4.ProcessingKwargs"}, "bioimageio.spec.model.v0_5.ScaleMeanVarianceKwargs.reference_tensor": {"fullname": "bioimageio.spec.model.v0_5.ScaleMeanVarianceKwargs.reference_tensor", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ScaleMeanVarianceKwargs.reference_tensor", "kind": "variable", "doc": "

Name of tensor to match.

\n", "annotation": ": bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, AfterValidator, AfterValidator, Annotated[TypeVar, Predicate], MaxLen]]"}, "bioimageio.spec.model.v0_5.ScaleMeanVarianceKwargs.axes": {"fullname": "bioimageio.spec.model.v0_5.ScaleMeanVarianceKwargs.axes", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ScaleMeanVarianceKwargs.axes", "kind": "variable", "doc": "

The subset of axes to normalize jointly, i.e. axes to reduce to compute mean/std.\nFor example to normalize 'batch', 'x' and 'y' jointly in a tensor ('batch', 'channel', 'y', 'x')\nresulting in a tensor of equal shape normalized per channel, specify axes=('batch', 'x', 'y').\nTo normalize samples independently, leave out the 'batch' axis.\nDefault: Scale all axes jointly.

\n", "annotation": ": Annotated[Optional[Sequence[bioimageio.spec.model.v0_5.AxisId]], FieldInfo(annotation=NoneType, required=True, examples=[('batch', 'x', 'y')])]"}, "bioimageio.spec.model.v0_5.ScaleMeanVarianceKwargs.eps": {"fullname": "bioimageio.spec.model.v0_5.ScaleMeanVarianceKwargs.eps", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ScaleMeanVarianceKwargs.eps", "kind": "variable", "doc": "

Epsilon for numeric stability:\nout = (tensor - mean) / (std + eps) * (ref_std + eps) + ref_mean.

\n", "annotation": ": Annotated[float, Interval(gt=0, ge=None, lt=None, le=0.1)]"}, "bioimageio.spec.model.v0_5.ScaleMeanVarianceKwargs.model_config": {"fullname": "bioimageio.spec.model.v0_5.ScaleMeanVarianceKwargs.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ScaleMeanVarianceKwargs.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.ScaleMeanVarianceKwargs.model_fields": {"fullname": "bioimageio.spec.model.v0_5.ScaleMeanVarianceKwargs.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ScaleMeanVarianceKwargs.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'reference_tensor': FieldInfo(annotation=ValidatedString[Annotated[str, MinLen, AfterValidator, AfterValidator, Annotated[TypeVar, Predicate], MaxLen]], required=True), 'axes': FieldInfo(annotation=Union[Sequence[AxisId], NoneType], required=False, examples=[('batch', 'x', 'y')]), 'eps': FieldInfo(annotation=float, required=False, default=1e-06, metadata=[Interval(gt=0, ge=None, lt=None, le=0.1)])}"}, "bioimageio.spec.model.v0_5.ScaleMeanVarianceKwargs.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.ScaleMeanVarianceKwargs.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ScaleMeanVarianceKwargs.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.ScaleMeanVarianceDescr": {"fullname": "bioimageio.spec.model.v0_5.ScaleMeanVarianceDescr", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ScaleMeanVarianceDescr", "kind": "class", "doc": "

Scale the tensor s.t. its mean and variance match a reference tensor.

\n", "bases": "ProcessingDescrBase"}, "bioimageio.spec.model.v0_5.ScaleMeanVarianceDescr.id": {"fullname": "bioimageio.spec.model.v0_5.ScaleMeanVarianceDescr.id", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ScaleMeanVarianceDescr.id", "kind": "variable", "doc": "

\n", "annotation": ": Literal['scale_mean_variance']"}, "bioimageio.spec.model.v0_5.ScaleMeanVarianceDescr.kwargs": {"fullname": "bioimageio.spec.model.v0_5.ScaleMeanVarianceDescr.kwargs", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ScaleMeanVarianceDescr.kwargs", "kind": "variable", "doc": "

\n", "annotation": ": bioimageio.spec.model.v0_5.ScaleMeanVarianceKwargs"}, "bioimageio.spec.model.v0_5.ScaleMeanVarianceDescr.model_config": {"fullname": "bioimageio.spec.model.v0_5.ScaleMeanVarianceDescr.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ScaleMeanVarianceDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.ScaleMeanVarianceDescr.model_fields": {"fullname": "bioimageio.spec.model.v0_5.ScaleMeanVarianceDescr.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ScaleMeanVarianceDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'id': FieldInfo(annotation=Literal['scale_mean_variance'], required=False, default='scale_mean_variance'), 'kwargs': FieldInfo(annotation=ScaleMeanVarianceKwargs, required=True)}"}, "bioimageio.spec.model.v0_5.ScaleMeanVarianceDescr.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.ScaleMeanVarianceDescr.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ScaleMeanVarianceDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.PreprocessingDescr": {"fullname": "bioimageio.spec.model.v0_5.PreprocessingDescr", "modulename": "bioimageio.spec.model.v0_5", "qualname": "PreprocessingDescr", "kind": "variable", "doc": "

\n", "default_value": "typing.Annotated[typing.Union[bioimageio.spec.model.v0_5.BinarizeDescr, bioimageio.spec.model.v0_5.ClipDescr, bioimageio.spec.model.v0_5.EnsureDtypeDescr, bioimageio.spec.model.v0_5.ScaleLinearDescr, bioimageio.spec.model.v0_5.SigmoidDescr, bioimageio.spec.model.v0_5.FixedZeroMeanUnitVarianceDescr, bioimageio.spec.model.v0_5.ZeroMeanUnitVarianceDescr, bioimageio.spec.model.v0_5.ScaleRangeDescr], FieldInfo(annotation=NoneType, required=True, discriminator='id')]"}, "bioimageio.spec.model.v0_5.PostprocessingDescr": {"fullname": "bioimageio.spec.model.v0_5.PostprocessingDescr", "modulename": "bioimageio.spec.model.v0_5", "qualname": "PostprocessingDescr", "kind": "variable", "doc": "

\n", "default_value": "typing.Annotated[typing.Union[bioimageio.spec.model.v0_5.BinarizeDescr, bioimageio.spec.model.v0_5.ClipDescr, bioimageio.spec.model.v0_5.EnsureDtypeDescr, bioimageio.spec.model.v0_5.ScaleLinearDescr, bioimageio.spec.model.v0_5.SigmoidDescr, bioimageio.spec.model.v0_5.FixedZeroMeanUnitVarianceDescr, bioimageio.spec.model.v0_5.ZeroMeanUnitVarianceDescr, bioimageio.spec.model.v0_5.ScaleRangeDescr, bioimageio.spec.model.v0_5.ScaleMeanVarianceDescr], FieldInfo(annotation=NoneType, required=True, discriminator='id')]"}, "bioimageio.spec.model.v0_5.TensorDescrBase": {"fullname": "bioimageio.spec.model.v0_5.TensorDescrBase", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TensorDescrBase", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "bioimageio.spec._internal.node.Node, typing.Generic[~IO_AxisT]"}, "bioimageio.spec.model.v0_5.TensorDescrBase.id": {"fullname": "bioimageio.spec.model.v0_5.TensorDescrBase.id", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TensorDescrBase.id", "kind": "variable", "doc": "

Tensor id. No duplicates are allowed.

\n", "annotation": ": bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, AfterValidator, AfterValidator, Annotated[TypeVar, Predicate], MaxLen]]"}, "bioimageio.spec.model.v0_5.TensorDescrBase.description": {"fullname": "bioimageio.spec.model.v0_5.TensorDescrBase.description", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TensorDescrBase.description", "kind": "variable", "doc": "

free text description

\n", "annotation": ": Annotated[str, MaxLen(max_length=128)]"}, "bioimageio.spec.model.v0_5.TensorDescrBase.axes": {"fullname": "bioimageio.spec.model.v0_5.TensorDescrBase.axes", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TensorDescrBase.axes", "kind": "variable", "doc": "

tensor axes

\n", "annotation": ": Annotated[Sequence[~IO_AxisT], MinLen(min_length=1)]"}, "bioimageio.spec.model.v0_5.TensorDescrBase.shape": {"fullname": "bioimageio.spec.model.v0_5.TensorDescrBase.shape", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TensorDescrBase.shape", "kind": "variable", "doc": "

\n"}, "bioimageio.spec.model.v0_5.TensorDescrBase.test_tensor": {"fullname": "bioimageio.spec.model.v0_5.TensorDescrBase.test_tensor", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TensorDescrBase.test_tensor", "kind": "variable", "doc": "

An example tensor to use for testing.\nUsing the model with the test input tensors is expected to yield the test output tensors.\nEach test tensor has be a an ndarray in the\nnumpy.lib file format.\nThe file extension must be '.npy'.

\n", "annotation": ": bioimageio.spec._internal.io.FileDescr"}, "bioimageio.spec.model.v0_5.TensorDescrBase.sample_tensor": {"fullname": "bioimageio.spec.model.v0_5.TensorDescrBase.sample_tensor", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TensorDescrBase.sample_tensor", "kind": "variable", "doc": "

A sample tensor to illustrate a possible input/output for the model,\nThe sample image primarily serves to inform a human user about an example use case\nand is typically stored as .hdf5, .png or .tiff.\nIt has to be readable by the imageio library\n(numpy's .npy format is not supported).\nThe image dimensionality has to match the number of axes specified in this tensor description.

\n", "annotation": ": Optional[bioimageio.spec._internal.io.FileDescr]"}, "bioimageio.spec.model.v0_5.TensorDescrBase.data": {"fullname": "bioimageio.spec.model.v0_5.TensorDescrBase.data", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TensorDescrBase.data", "kind": "variable", "doc": "

Description of the tensor's data values, optionally per channel.\nIf specified per channel, the data type needs to match across channels.

\n", "annotation": ": Union[bioimageio.spec.model.v0_5.NominalOrOrdinalDataDescr, bioimageio.spec.model.v0_5.IntervalOrRatioDataDescr, Annotated[Sequence[Union[bioimageio.spec.model.v0_5.NominalOrOrdinalDataDescr, bioimageio.spec.model.v0_5.IntervalOrRatioDataDescr]], MinLen(min_length=1)]]"}, "bioimageio.spec.model.v0_5.TensorDescrBase.dtype": {"fullname": "bioimageio.spec.model.v0_5.TensorDescrBase.dtype", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TensorDescrBase.dtype", "kind": "variable", "doc": "

dtype as specified under data.type or data[i].type

\n", "annotation": ": Literal['float32', 'float64', 'uint8', 'int8', 'uint16', 'int16', 'uint32', 'int32', 'uint64', 'int64', 'bool']"}, "bioimageio.spec.model.v0_5.TensorDescrBase.get_axis_sizes_for_array": {"fullname": "bioimageio.spec.model.v0_5.TensorDescrBase.get_axis_sizes_for_array", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TensorDescrBase.get_axis_sizes_for_array", "kind": "function", "doc": "

\n", "signature": "(\tself,\tarray: numpy.ndarray[typing.Any, numpy.dtype[typing.Any]]) -> Dict[bioimageio.spec.model.v0_5.AxisId, int]:", "funcdef": "def"}, "bioimageio.spec.model.v0_5.InputTensorDescr": {"fullname": "bioimageio.spec.model.v0_5.InputTensorDescr", "modulename": "bioimageio.spec.model.v0_5", "qualname": "InputTensorDescr", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "bioimageio.spec._internal.node.Node, typing.Generic[~IO_AxisT]"}, "bioimageio.spec.model.v0_5.InputTensorDescr.id": {"fullname": "bioimageio.spec.model.v0_5.InputTensorDescr.id", "modulename": "bioimageio.spec.model.v0_5", "qualname": "InputTensorDescr.id", "kind": "variable", "doc": "

Input tensor id.\nNo duplicates are allowed across all inputs and outputs.

\n", "annotation": ": bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, AfterValidator, AfterValidator, Annotated[TypeVar, Predicate], MaxLen]]"}, "bioimageio.spec.model.v0_5.InputTensorDescr.optional": {"fullname": "bioimageio.spec.model.v0_5.InputTensorDescr.optional", "modulename": "bioimageio.spec.model.v0_5", "qualname": "InputTensorDescr.optional", "kind": "variable", "doc": "

indicates that this tensor may be None

\n", "annotation": ": bool"}, "bioimageio.spec.model.v0_5.InputTensorDescr.preprocessing": {"fullname": "bioimageio.spec.model.v0_5.InputTensorDescr.preprocessing", "modulename": "bioimageio.spec.model.v0_5", "qualname": "InputTensorDescr.preprocessing", "kind": "variable", "doc": "

Description of how this input should be preprocessed.

\n", "annotation": ": List[Annotated[Union[bioimageio.spec.model.v0_5.BinarizeDescr, bioimageio.spec.model.v0_5.ClipDescr, bioimageio.spec.model.v0_5.EnsureDtypeDescr, bioimageio.spec.model.v0_5.ScaleLinearDescr, bioimageio.spec.model.v0_5.SigmoidDescr, bioimageio.spec.model.v0_5.FixedZeroMeanUnitVarianceDescr, bioimageio.spec.model.v0_5.ZeroMeanUnitVarianceDescr, bioimageio.spec.model.v0_5.ScaleRangeDescr], FieldInfo(annotation=NoneType, required=True, discriminator='id')]]"}, "bioimageio.spec.model.v0_5.convert_axes": {"fullname": "bioimageio.spec.model.v0_5.convert_axes", "modulename": "bioimageio.spec.model.v0_5", "qualname": "convert_axes", "kind": "function", "doc": "

\n", "signature": "(\taxes: str,\t*,\tshape: Union[Sequence[int], bioimageio.spec.model.v0_4.ParameterizedInputShape, bioimageio.spec.model.v0_4.ImplicitOutputShape],\ttensor_type: Literal['input', 'output'],\thalo: Optional[Sequence[int]],\tsize_refs: Mapping[bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, AfterValidator, AfterValidator, Annotated[TypeVar, Predicate]]], Mapping[str, int]]):", "funcdef": "def"}, "bioimageio.spec.model.v0_5.OutputTensorDescr": {"fullname": "bioimageio.spec.model.v0_5.OutputTensorDescr", "modulename": "bioimageio.spec.model.v0_5", "qualname": "OutputTensorDescr", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "bioimageio.spec._internal.node.Node, typing.Generic[~IO_AxisT]"}, "bioimageio.spec.model.v0_5.OutputTensorDescr.id": {"fullname": "bioimageio.spec.model.v0_5.OutputTensorDescr.id", "modulename": "bioimageio.spec.model.v0_5", "qualname": "OutputTensorDescr.id", "kind": "variable", "doc": "

Output tensor id.\nNo duplicates are allowed across all inputs and outputs.

\n", "annotation": ": bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, AfterValidator, AfterValidator, Annotated[TypeVar, Predicate], MaxLen]]"}, "bioimageio.spec.model.v0_5.OutputTensorDescr.postprocessing": {"fullname": "bioimageio.spec.model.v0_5.OutputTensorDescr.postprocessing", "modulename": "bioimageio.spec.model.v0_5", "qualname": "OutputTensorDescr.postprocessing", "kind": "variable", "doc": "

Description of how this output should be postprocessed.

\n", "annotation": ": List[Annotated[Union[bioimageio.spec.model.v0_5.BinarizeDescr, bioimageio.spec.model.v0_5.ClipDescr, bioimageio.spec.model.v0_5.EnsureDtypeDescr, bioimageio.spec.model.v0_5.ScaleLinearDescr, bioimageio.spec.model.v0_5.SigmoidDescr, bioimageio.spec.model.v0_5.FixedZeroMeanUnitVarianceDescr, bioimageio.spec.model.v0_5.ZeroMeanUnitVarianceDescr, bioimageio.spec.model.v0_5.ScaleRangeDescr, bioimageio.spec.model.v0_5.ScaleMeanVarianceDescr], FieldInfo(annotation=NoneType, required=True, discriminator='id')]]"}, "bioimageio.spec.model.v0_5.TensorDescr": {"fullname": "bioimageio.spec.model.v0_5.TensorDescr", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TensorDescr", "kind": "variable", "doc": "

\n", "default_value": "typing.Union[bioimageio.spec.model.v0_5.InputTensorDescr, bioimageio.spec.model.v0_5.OutputTensorDescr]"}, "bioimageio.spec.model.v0_5.validate_tensors": {"fullname": "bioimageio.spec.model.v0_5.validate_tensors", "modulename": "bioimageio.spec.model.v0_5", "qualname": "validate_tensors", "kind": "function", "doc": "

\n", "signature": "(\ttensors: Mapping[bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, AfterValidator, AfterValidator, Annotated[TypeVar, Predicate], MaxLen]], Tuple[Union[bioimageio.spec.model.v0_5.InputTensorDescr, bioimageio.spec.model.v0_5.OutputTensorDescr], numpy.ndarray[Any, numpy.dtype[Any]]]],\ttensor_origin: str):", "funcdef": "def"}, "bioimageio.spec.model.v0_5.EnvironmentFileDescr": {"fullname": "bioimageio.spec.model.v0_5.EnvironmentFileDescr", "modulename": "bioimageio.spec.model.v0_5", "qualname": "EnvironmentFileDescr", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "bioimageio.spec._internal.io.FileDescr"}, "bioimageio.spec.model.v0_5.EnvironmentFileDescr.source": {"fullname": "bioimageio.spec.model.v0_5.EnvironmentFileDescr.source", "modulename": "bioimageio.spec.model.v0_5", "qualname": "EnvironmentFileDescr.source", "kind": "variable", "doc": "

\u2208\ud83d\udce6 Conda environment file.\nAllows to specify custom dependencies, see conda docs:

\n\n\n", "annotation": ": Annotated[Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator(func=<function wo_special_file_name at 0x7f4541d10680>), PlainSerializer(func=<function _package at 0x7f4541d118a0>, return_type=PydanticUndefined, when_used='unless-none'), WithSuffix(suffix=('.yaml', '.yml'), case_sensitive=True), FieldInfo(annotation=NoneType, required=True, examples=['environment.yaml'])]"}, "bioimageio.spec.model.v0_5.EnvironmentFileDescr.model_config": {"fullname": "bioimageio.spec.model.v0_5.EnvironmentFileDescr.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "EnvironmentFileDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.EnvironmentFileDescr.model_fields": {"fullname": "bioimageio.spec.model.v0_5.EnvironmentFileDescr.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "EnvironmentFileDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'source': FieldInfo(annotation=Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], required=True, examples=['environment.yaml'], metadata=[AfterValidator(func=<function wo_special_file_name>), PlainSerializer(func=<function _package>, return_type=PydanticUndefined, when_used='unless-none'), WithSuffix(suffix=('.yaml', '.yml'), case_sensitive=True)]), 'sha256': FieldInfo(annotation=Union[Sha256, NoneType], required=False)}"}, "bioimageio.spec.model.v0_5.EnvironmentFileDescr.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.EnvironmentFileDescr.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "EnvironmentFileDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.ArchitectureFromFileDescr": {"fullname": "bioimageio.spec.model.v0_5.ArchitectureFromFileDescr", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ArchitectureFromFileDescr", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "_ArchitectureCallableDescr, bioimageio.spec._internal.io.FileDescr"}, "bioimageio.spec.model.v0_5.ArchitectureFromFileDescr.model_config": {"fullname": "bioimageio.spec.model.v0_5.ArchitectureFromFileDescr.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ArchitectureFromFileDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.ArchitectureFromFileDescr.model_fields": {"fullname": "bioimageio.spec.model.v0_5.ArchitectureFromFileDescr.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ArchitectureFromFileDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'source': FieldInfo(annotation=Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], required=True, metadata=[AfterValidator(func=<function wo_special_file_name>), PlainSerializer(func=<function _package>, return_type=PydanticUndefined, when_used='unless-none')]), 'sha256': FieldInfo(annotation=Union[Sha256, NoneType], required=False), 'callable': FieldInfo(annotation=ValidatedString[Annotated[str, MinLen, AfterValidator, AfterValidator]], required=True, examples=['MyNetworkClass', 'get_my_model']), 'kwargs': FieldInfo(annotation=Dict[str, YamlValue], required=False, default_factory=dict)}"}, "bioimageio.spec.model.v0_5.ArchitectureFromFileDescr.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.ArchitectureFromFileDescr.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ArchitectureFromFileDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.ArchitectureFromLibraryDescr": {"fullname": "bioimageio.spec.model.v0_5.ArchitectureFromLibraryDescr", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ArchitectureFromLibraryDescr", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "_ArchitectureCallableDescr"}, "bioimageio.spec.model.v0_5.ArchitectureFromLibraryDescr.import_from": {"fullname": "bioimageio.spec.model.v0_5.ArchitectureFromLibraryDescr.import_from", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ArchitectureFromLibraryDescr.import_from", "kind": "variable", "doc": "

Where to import the callable from, i.e. from <import_from> import <callable>

\n", "annotation": ": str"}, "bioimageio.spec.model.v0_5.ArchitectureFromLibraryDescr.model_config": {"fullname": "bioimageio.spec.model.v0_5.ArchitectureFromLibraryDescr.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ArchitectureFromLibraryDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.ArchitectureFromLibraryDescr.model_fields": {"fullname": "bioimageio.spec.model.v0_5.ArchitectureFromLibraryDescr.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ArchitectureFromLibraryDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'callable': FieldInfo(annotation=ValidatedString[Annotated[str, MinLen, AfterValidator, AfterValidator]], required=True, examples=['MyNetworkClass', 'get_my_model']), 'kwargs': FieldInfo(annotation=Dict[str, YamlValue], required=False, default_factory=dict), 'import_from': FieldInfo(annotation=str, required=True)}"}, "bioimageio.spec.model.v0_5.ArchitectureFromLibraryDescr.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.ArchitectureFromLibraryDescr.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ArchitectureFromLibraryDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.ArchitectureDescr": {"fullname": "bioimageio.spec.model.v0_5.ArchitectureDescr", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ArchitectureDescr", "kind": "variable", "doc": "

\n", "default_value": "typing.Union[bioimageio.spec.model.v0_5.ArchitectureFromFileDescr, bioimageio.spec.model.v0_5.ArchitectureFromLibraryDescr]"}, "bioimageio.spec.model.v0_5.WeightsEntryDescrBase": {"fullname": "bioimageio.spec.model.v0_5.WeightsEntryDescrBase", "modulename": "bioimageio.spec.model.v0_5", "qualname": "WeightsEntryDescrBase", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "bioimageio.spec._internal.io.FileDescr"}, "bioimageio.spec.model.v0_5.WeightsEntryDescrBase.type": {"fullname": "bioimageio.spec.model.v0_5.WeightsEntryDescrBase.type", "modulename": "bioimageio.spec.model.v0_5", "qualname": "WeightsEntryDescrBase.type", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[Literal['keras_hdf5', 'onnx', 'pytorch_state_dict', 'tensorflow_js', 'tensorflow_saved_model_bundle', 'torchscript']]"}, "bioimageio.spec.model.v0_5.WeightsEntryDescrBase.weights_format_name": {"fullname": "bioimageio.spec.model.v0_5.WeightsEntryDescrBase.weights_format_name", "modulename": "bioimageio.spec.model.v0_5", "qualname": "WeightsEntryDescrBase.weights_format_name", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[str]"}, "bioimageio.spec.model.v0_5.WeightsEntryDescrBase.source": {"fullname": "bioimageio.spec.model.v0_5.WeightsEntryDescrBase.source", "modulename": "bioimageio.spec.model.v0_5", "qualname": "WeightsEntryDescrBase.source", "kind": "variable", "doc": "

\u2208\ud83d\udce6 The weights file.

\n", "annotation": ": Annotated[Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator(func=<function wo_special_file_name at 0x7f4541d10680>), PlainSerializer(func=<function _package at 0x7f4541d118a0>, return_type=PydanticUndefined, when_used='unless-none')]"}, "bioimageio.spec.model.v0_5.WeightsEntryDescrBase.authors": {"fullname": "bioimageio.spec.model.v0_5.WeightsEntryDescrBase.authors", "modulename": "bioimageio.spec.model.v0_5", "qualname": "WeightsEntryDescrBase.authors", "kind": "variable", "doc": "

Authors\nEither the person(s) that have trained this model resulting in the original weights file.\n (If this is the initial weights entry, i.e. it does not have a parent)\nOr the person(s) who have converted the weights to this weights format.\n (If this is a child weight, i.e. it has a parent field)

\n", "annotation": ": Optional[List[bioimageio.spec.generic.v0_3.Author]]"}, "bioimageio.spec.model.v0_5.WeightsEntryDescrBase.parent": {"fullname": "bioimageio.spec.model.v0_5.WeightsEntryDescrBase.parent", "modulename": "bioimageio.spec.model.v0_5", "qualname": "WeightsEntryDescrBase.parent", "kind": "variable", "doc": "

The source weights these weights were converted from.\nFor example, if a model's weights were converted from the pytorch_state_dict format to torchscript,\nThe pytorch_state_dict weights entry has no parent and is the parent of the torchscript weights.\nAll weight entries except one (the initial set of weights resulting from training the model),\nneed to have this field.

\n", "annotation": ": Annotated[Optional[Literal['keras_hdf5', 'onnx', 'pytorch_state_dict', 'tensorflow_js', 'tensorflow_saved_model_bundle', 'torchscript']], FieldInfo(annotation=NoneType, required=True, examples=['pytorch_state_dict'])]"}, "bioimageio.spec.model.v0_5.WeightsEntryDescrBase.check_parent_is_not_self": {"fullname": "bioimageio.spec.model.v0_5.WeightsEntryDescrBase.check_parent_is_not_self", "modulename": "bioimageio.spec.model.v0_5", "qualname": "WeightsEntryDescrBase.check_parent_is_not_self", "kind": "function", "doc": "

\n", "signature": "(self) -> Self:", "funcdef": "def"}, "bioimageio.spec.model.v0_5.WeightsEntryDescrBase.model_config": {"fullname": "bioimageio.spec.model.v0_5.WeightsEntryDescrBase.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "WeightsEntryDescrBase.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.WeightsEntryDescrBase.model_fields": {"fullname": "bioimageio.spec.model.v0_5.WeightsEntryDescrBase.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "WeightsEntryDescrBase.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'source': FieldInfo(annotation=Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], required=True, metadata=[AfterValidator(func=<function wo_special_file_name>), PlainSerializer(func=<function _package>, return_type=PydanticUndefined, when_used='unless-none')]), 'sha256': FieldInfo(annotation=Union[Sha256, NoneType], required=False), 'authors': FieldInfo(annotation=Union[List[Author], NoneType], required=False), 'parent': FieldInfo(annotation=Union[Literal['keras_hdf5', 'onnx', 'pytorch_state_dict', 'tensorflow_js', 'tensorflow_saved_model_bundle', 'torchscript'], NoneType], required=False, examples=['pytorch_state_dict'])}"}, "bioimageio.spec.model.v0_5.WeightsEntryDescrBase.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.WeightsEntryDescrBase.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "WeightsEntryDescrBase.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.KerasHdf5WeightsDescr": {"fullname": "bioimageio.spec.model.v0_5.KerasHdf5WeightsDescr", "modulename": "bioimageio.spec.model.v0_5", "qualname": "KerasHdf5WeightsDescr", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "WeightsEntryDescrBase"}, "bioimageio.spec.model.v0_5.KerasHdf5WeightsDescr.type": {"fullname": "bioimageio.spec.model.v0_5.KerasHdf5WeightsDescr.type", "modulename": "bioimageio.spec.model.v0_5", "qualname": "KerasHdf5WeightsDescr.type", "kind": "variable", "doc": "

\n", "default_value": "'keras_hdf5'"}, "bioimageio.spec.model.v0_5.KerasHdf5WeightsDescr.weights_format_name": {"fullname": "bioimageio.spec.model.v0_5.KerasHdf5WeightsDescr.weights_format_name", "modulename": "bioimageio.spec.model.v0_5", "qualname": "KerasHdf5WeightsDescr.weights_format_name", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[str]", "default_value": "'Keras HDF5'"}, "bioimageio.spec.model.v0_5.KerasHdf5WeightsDescr.tensorflow_version": {"fullname": "bioimageio.spec.model.v0_5.KerasHdf5WeightsDescr.tensorflow_version", "modulename": "bioimageio.spec.model.v0_5", "qualname": "KerasHdf5WeightsDescr.tensorflow_version", "kind": "variable", "doc": "

TensorFlow version used to create these weights.

\n", "annotation": ": bioimageio.spec._internal.version_type.Version"}, "bioimageio.spec.model.v0_5.KerasHdf5WeightsDescr.model_config": {"fullname": "bioimageio.spec.model.v0_5.KerasHdf5WeightsDescr.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "KerasHdf5WeightsDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.KerasHdf5WeightsDescr.model_fields": {"fullname": "bioimageio.spec.model.v0_5.KerasHdf5WeightsDescr.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "KerasHdf5WeightsDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'source': FieldInfo(annotation=Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], required=True, metadata=[AfterValidator(func=<function wo_special_file_name>), PlainSerializer(func=<function _package>, return_type=PydanticUndefined, when_used='unless-none')]), 'sha256': FieldInfo(annotation=Union[Sha256, NoneType], required=False), 'authors': FieldInfo(annotation=Union[List[Author], NoneType], required=False), 'parent': FieldInfo(annotation=Union[Literal['keras_hdf5', 'onnx', 'pytorch_state_dict', 'tensorflow_js', 'tensorflow_saved_model_bundle', 'torchscript'], NoneType], required=False, examples=['pytorch_state_dict']), 'tensorflow_version': FieldInfo(annotation=Version, required=True)}"}, "bioimageio.spec.model.v0_5.KerasHdf5WeightsDescr.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.KerasHdf5WeightsDescr.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "KerasHdf5WeightsDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.OnnxWeightsDescr": {"fullname": "bioimageio.spec.model.v0_5.OnnxWeightsDescr", "modulename": "bioimageio.spec.model.v0_5", "qualname": "OnnxWeightsDescr", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "WeightsEntryDescrBase"}, "bioimageio.spec.model.v0_5.OnnxWeightsDescr.type": {"fullname": "bioimageio.spec.model.v0_5.OnnxWeightsDescr.type", "modulename": "bioimageio.spec.model.v0_5", "qualname": "OnnxWeightsDescr.type", "kind": "variable", "doc": "

\n", "default_value": "'onnx'"}, "bioimageio.spec.model.v0_5.OnnxWeightsDescr.weights_format_name": {"fullname": "bioimageio.spec.model.v0_5.OnnxWeightsDescr.weights_format_name", "modulename": "bioimageio.spec.model.v0_5", "qualname": "OnnxWeightsDescr.weights_format_name", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[str]", "default_value": "'ONNX'"}, "bioimageio.spec.model.v0_5.OnnxWeightsDescr.opset_version": {"fullname": "bioimageio.spec.model.v0_5.OnnxWeightsDescr.opset_version", "modulename": "bioimageio.spec.model.v0_5", "qualname": "OnnxWeightsDescr.opset_version", "kind": "variable", "doc": "

ONNX opset version

\n", "annotation": ": Annotated[int, Ge(ge=7)]"}, "bioimageio.spec.model.v0_5.OnnxWeightsDescr.model_config": {"fullname": "bioimageio.spec.model.v0_5.OnnxWeightsDescr.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "OnnxWeightsDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.OnnxWeightsDescr.model_fields": {"fullname": "bioimageio.spec.model.v0_5.OnnxWeightsDescr.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "OnnxWeightsDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'source': FieldInfo(annotation=Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], required=True, metadata=[AfterValidator(func=<function wo_special_file_name>), PlainSerializer(func=<function _package>, return_type=PydanticUndefined, when_used='unless-none')]), 'sha256': FieldInfo(annotation=Union[Sha256, NoneType], required=False), 'authors': FieldInfo(annotation=Union[List[Author], NoneType], required=False), 'parent': FieldInfo(annotation=Union[Literal['keras_hdf5', 'onnx', 'pytorch_state_dict', 'tensorflow_js', 'tensorflow_saved_model_bundle', 'torchscript'], NoneType], required=False, examples=['pytorch_state_dict']), 'opset_version': FieldInfo(annotation=int, required=True, metadata=[Ge(ge=7)])}"}, "bioimageio.spec.model.v0_5.OnnxWeightsDescr.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.OnnxWeightsDescr.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "OnnxWeightsDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.PytorchStateDictWeightsDescr": {"fullname": "bioimageio.spec.model.v0_5.PytorchStateDictWeightsDescr", "modulename": "bioimageio.spec.model.v0_5", "qualname": "PytorchStateDictWeightsDescr", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "WeightsEntryDescrBase"}, "bioimageio.spec.model.v0_5.PytorchStateDictWeightsDescr.type": {"fullname": "bioimageio.spec.model.v0_5.PytorchStateDictWeightsDescr.type", "modulename": "bioimageio.spec.model.v0_5", "qualname": "PytorchStateDictWeightsDescr.type", "kind": "variable", "doc": "

\n", "default_value": "'pytorch_state_dict'"}, "bioimageio.spec.model.v0_5.PytorchStateDictWeightsDescr.weights_format_name": {"fullname": "bioimageio.spec.model.v0_5.PytorchStateDictWeightsDescr.weights_format_name", "modulename": "bioimageio.spec.model.v0_5", "qualname": "PytorchStateDictWeightsDescr.weights_format_name", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[str]", "default_value": "'Pytorch State Dict'"}, "bioimageio.spec.model.v0_5.PytorchStateDictWeightsDescr.architecture": {"fullname": "bioimageio.spec.model.v0_5.PytorchStateDictWeightsDescr.architecture", "modulename": "bioimageio.spec.model.v0_5", "qualname": "PytorchStateDictWeightsDescr.architecture", "kind": "variable", "doc": "

\n", "annotation": ": Union[bioimageio.spec.model.v0_5.ArchitectureFromFileDescr, bioimageio.spec.model.v0_5.ArchitectureFromLibraryDescr]"}, "bioimageio.spec.model.v0_5.PytorchStateDictWeightsDescr.pytorch_version": {"fullname": "bioimageio.spec.model.v0_5.PytorchStateDictWeightsDescr.pytorch_version", "modulename": "bioimageio.spec.model.v0_5", "qualname": "PytorchStateDictWeightsDescr.pytorch_version", "kind": "variable", "doc": "

Version of the PyTorch library used.\nIf architecture.depencencies is specified it has to include pytorch and any version pinning has to be compatible.

\n", "annotation": ": bioimageio.spec._internal.version_type.Version"}, "bioimageio.spec.model.v0_5.PytorchStateDictWeightsDescr.dependencies": {"fullname": "bioimageio.spec.model.v0_5.PytorchStateDictWeightsDescr.dependencies", "modulename": "bioimageio.spec.model.v0_5", "qualname": "PytorchStateDictWeightsDescr.dependencies", "kind": "variable", "doc": "

Custom depencies beyond pytorch.\nThe conda environment file should include pytorch and any version pinning has to be compatible with\npytorch_version.

\n", "annotation": ": Optional[bioimageio.spec.model.v0_5.EnvironmentFileDescr]"}, "bioimageio.spec.model.v0_5.PytorchStateDictWeightsDescr.model_config": {"fullname": "bioimageio.spec.model.v0_5.PytorchStateDictWeightsDescr.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "PytorchStateDictWeightsDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.PytorchStateDictWeightsDescr.model_fields": {"fullname": "bioimageio.spec.model.v0_5.PytorchStateDictWeightsDescr.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "PytorchStateDictWeightsDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'source': FieldInfo(annotation=Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], required=True, metadata=[AfterValidator(func=<function wo_special_file_name>), PlainSerializer(func=<function _package>, return_type=PydanticUndefined, when_used='unless-none')]), 'sha256': FieldInfo(annotation=Union[Sha256, NoneType], required=False), 'authors': FieldInfo(annotation=Union[List[Author], NoneType], required=False), 'parent': FieldInfo(annotation=Union[Literal['keras_hdf5', 'onnx', 'pytorch_state_dict', 'tensorflow_js', 'tensorflow_saved_model_bundle', 'torchscript'], NoneType], required=False, examples=['pytorch_state_dict']), 'architecture': FieldInfo(annotation=Union[ArchitectureFromFileDescr, ArchitectureFromLibraryDescr], required=True), 'pytorch_version': FieldInfo(annotation=Version, required=True), 'dependencies': FieldInfo(annotation=Union[EnvironmentFileDescr, NoneType], required=False)}"}, "bioimageio.spec.model.v0_5.PytorchStateDictWeightsDescr.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.PytorchStateDictWeightsDescr.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "PytorchStateDictWeightsDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.TensorflowJsWeightsDescr": {"fullname": "bioimageio.spec.model.v0_5.TensorflowJsWeightsDescr", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TensorflowJsWeightsDescr", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "WeightsEntryDescrBase"}, "bioimageio.spec.model.v0_5.TensorflowJsWeightsDescr.type": {"fullname": "bioimageio.spec.model.v0_5.TensorflowJsWeightsDescr.type", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TensorflowJsWeightsDescr.type", "kind": "variable", "doc": "

\n", "default_value": "'tensorflow_js'"}, "bioimageio.spec.model.v0_5.TensorflowJsWeightsDescr.weights_format_name": {"fullname": "bioimageio.spec.model.v0_5.TensorflowJsWeightsDescr.weights_format_name", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TensorflowJsWeightsDescr.weights_format_name", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[str]", "default_value": "'Tensorflow.js'"}, "bioimageio.spec.model.v0_5.TensorflowJsWeightsDescr.tensorflow_version": {"fullname": "bioimageio.spec.model.v0_5.TensorflowJsWeightsDescr.tensorflow_version", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TensorflowJsWeightsDescr.tensorflow_version", "kind": "variable", "doc": "

Version of the TensorFlow library used.

\n", "annotation": ": bioimageio.spec._internal.version_type.Version"}, "bioimageio.spec.model.v0_5.TensorflowJsWeightsDescr.source": {"fullname": "bioimageio.spec.model.v0_5.TensorflowJsWeightsDescr.source", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TensorflowJsWeightsDescr.source", "kind": "variable", "doc": "

\u2208\ud83d\udce6 The multi-file weights.\nAll required files/folders should be a zip archive.

\n", "annotation": ": Annotated[Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator(func=<function wo_special_file_name at 0x7f4541d10680>), PlainSerializer(func=<function _package at 0x7f4541d118a0>, return_type=PydanticUndefined, when_used='unless-none')]"}, "bioimageio.spec.model.v0_5.TensorflowJsWeightsDescr.model_config": {"fullname": "bioimageio.spec.model.v0_5.TensorflowJsWeightsDescr.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TensorflowJsWeightsDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.TensorflowJsWeightsDescr.model_fields": {"fullname": "bioimageio.spec.model.v0_5.TensorflowJsWeightsDescr.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TensorflowJsWeightsDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'source': FieldInfo(annotation=Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], required=True, metadata=[AfterValidator(func=<function wo_special_file_name>), PlainSerializer(func=<function _package>, return_type=PydanticUndefined, when_used='unless-none')]), 'sha256': FieldInfo(annotation=Union[Sha256, NoneType], required=False), 'authors': FieldInfo(annotation=Union[List[Author], NoneType], required=False), 'parent': FieldInfo(annotation=Union[Literal['keras_hdf5', 'onnx', 'pytorch_state_dict', 'tensorflow_js', 'tensorflow_saved_model_bundle', 'torchscript'], NoneType], required=False, examples=['pytorch_state_dict']), 'tensorflow_version': FieldInfo(annotation=Version, required=True)}"}, "bioimageio.spec.model.v0_5.TensorflowJsWeightsDescr.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.TensorflowJsWeightsDescr.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TensorflowJsWeightsDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.TensorflowSavedModelBundleWeightsDescr": {"fullname": "bioimageio.spec.model.v0_5.TensorflowSavedModelBundleWeightsDescr", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TensorflowSavedModelBundleWeightsDescr", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "WeightsEntryDescrBase"}, "bioimageio.spec.model.v0_5.TensorflowSavedModelBundleWeightsDescr.type": {"fullname": "bioimageio.spec.model.v0_5.TensorflowSavedModelBundleWeightsDescr.type", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TensorflowSavedModelBundleWeightsDescr.type", "kind": "variable", "doc": "

\n", "default_value": "'tensorflow_saved_model_bundle'"}, "bioimageio.spec.model.v0_5.TensorflowSavedModelBundleWeightsDescr.weights_format_name": {"fullname": "bioimageio.spec.model.v0_5.TensorflowSavedModelBundleWeightsDescr.weights_format_name", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TensorflowSavedModelBundleWeightsDescr.weights_format_name", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[str]", "default_value": "'Tensorflow Saved Model'"}, "bioimageio.spec.model.v0_5.TensorflowSavedModelBundleWeightsDescr.tensorflow_version": {"fullname": "bioimageio.spec.model.v0_5.TensorflowSavedModelBundleWeightsDescr.tensorflow_version", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TensorflowSavedModelBundleWeightsDescr.tensorflow_version", "kind": "variable", "doc": "

Version of the TensorFlow library used.

\n", "annotation": ": bioimageio.spec._internal.version_type.Version"}, "bioimageio.spec.model.v0_5.TensorflowSavedModelBundleWeightsDescr.dependencies": {"fullname": "bioimageio.spec.model.v0_5.TensorflowSavedModelBundleWeightsDescr.dependencies", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TensorflowSavedModelBundleWeightsDescr.dependencies", "kind": "variable", "doc": "

Custom dependencies beyond tensorflow.\nShould include tensorflow and any version pinning has to be compatible with tensorflow_version.

\n", "annotation": ": Optional[bioimageio.spec.model.v0_5.EnvironmentFileDescr]"}, "bioimageio.spec.model.v0_5.TensorflowSavedModelBundleWeightsDescr.source": {"fullname": "bioimageio.spec.model.v0_5.TensorflowSavedModelBundleWeightsDescr.source", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TensorflowSavedModelBundleWeightsDescr.source", "kind": "variable", "doc": "

\u2208\ud83d\udce6 The multi-file weights.\nAll required files/folders should be a zip archive.

\n", "annotation": ": Annotated[Union[Annotated[pathlib.Path, PathType(path_type='file')], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl, Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator(func=<function wo_special_file_name at 0x7f4541d10680>), PlainSerializer(func=<function _package at 0x7f4541d118a0>, return_type=PydanticUndefined, when_used='unless-none')]"}, "bioimageio.spec.model.v0_5.TensorflowSavedModelBundleWeightsDescr.model_config": {"fullname": "bioimageio.spec.model.v0_5.TensorflowSavedModelBundleWeightsDescr.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TensorflowSavedModelBundleWeightsDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.TensorflowSavedModelBundleWeightsDescr.model_fields": {"fullname": "bioimageio.spec.model.v0_5.TensorflowSavedModelBundleWeightsDescr.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TensorflowSavedModelBundleWeightsDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'source': FieldInfo(annotation=Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], required=True, metadata=[AfterValidator(func=<function wo_special_file_name>), PlainSerializer(func=<function _package>, return_type=PydanticUndefined, when_used='unless-none')]), 'sha256': FieldInfo(annotation=Union[Sha256, NoneType], required=False), 'authors': FieldInfo(annotation=Union[List[Author], NoneType], required=False), 'parent': FieldInfo(annotation=Union[Literal['keras_hdf5', 'onnx', 'pytorch_state_dict', 'tensorflow_js', 'tensorflow_saved_model_bundle', 'torchscript'], NoneType], required=False, examples=['pytorch_state_dict']), 'tensorflow_version': FieldInfo(annotation=Version, required=True), 'dependencies': FieldInfo(annotation=Union[EnvironmentFileDescr, NoneType], required=False)}"}, "bioimageio.spec.model.v0_5.TensorflowSavedModelBundleWeightsDescr.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.TensorflowSavedModelBundleWeightsDescr.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TensorflowSavedModelBundleWeightsDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.TorchscriptWeightsDescr": {"fullname": "bioimageio.spec.model.v0_5.TorchscriptWeightsDescr", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TorchscriptWeightsDescr", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "WeightsEntryDescrBase"}, "bioimageio.spec.model.v0_5.TorchscriptWeightsDescr.type": {"fullname": "bioimageio.spec.model.v0_5.TorchscriptWeightsDescr.type", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TorchscriptWeightsDescr.type", "kind": "variable", "doc": "

\n", "default_value": "'torchscript'"}, "bioimageio.spec.model.v0_5.TorchscriptWeightsDescr.weights_format_name": {"fullname": "bioimageio.spec.model.v0_5.TorchscriptWeightsDescr.weights_format_name", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TorchscriptWeightsDescr.weights_format_name", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[str]", "default_value": "'TorchScript'"}, "bioimageio.spec.model.v0_5.TorchscriptWeightsDescr.pytorch_version": {"fullname": "bioimageio.spec.model.v0_5.TorchscriptWeightsDescr.pytorch_version", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TorchscriptWeightsDescr.pytorch_version", "kind": "variable", "doc": "

Version of the PyTorch library used.

\n", "annotation": ": bioimageio.spec._internal.version_type.Version"}, "bioimageio.spec.model.v0_5.TorchscriptWeightsDescr.model_config": {"fullname": "bioimageio.spec.model.v0_5.TorchscriptWeightsDescr.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TorchscriptWeightsDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.TorchscriptWeightsDescr.model_fields": {"fullname": "bioimageio.spec.model.v0_5.TorchscriptWeightsDescr.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TorchscriptWeightsDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'source': FieldInfo(annotation=Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], required=True, metadata=[AfterValidator(func=<function wo_special_file_name>), PlainSerializer(func=<function _package>, return_type=PydanticUndefined, when_used='unless-none')]), 'sha256': FieldInfo(annotation=Union[Sha256, NoneType], required=False), 'authors': FieldInfo(annotation=Union[List[Author], NoneType], required=False), 'parent': FieldInfo(annotation=Union[Literal['keras_hdf5', 'onnx', 'pytorch_state_dict', 'tensorflow_js', 'tensorflow_saved_model_bundle', 'torchscript'], NoneType], required=False, examples=['pytorch_state_dict']), 'pytorch_version': FieldInfo(annotation=Version, required=True)}"}, "bioimageio.spec.model.v0_5.TorchscriptWeightsDescr.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.TorchscriptWeightsDescr.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TorchscriptWeightsDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.WeightsDescr": {"fullname": "bioimageio.spec.model.v0_5.WeightsDescr", "modulename": "bioimageio.spec.model.v0_5", "qualname": "WeightsDescr", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "bioimageio.spec._internal.node.Node"}, "bioimageio.spec.model.v0_5.WeightsDescr.keras_hdf5": {"fullname": "bioimageio.spec.model.v0_5.WeightsDescr.keras_hdf5", "modulename": "bioimageio.spec.model.v0_5", "qualname": "WeightsDescr.keras_hdf5", "kind": "variable", "doc": "

\n", "annotation": ": Optional[bioimageio.spec.model.v0_5.KerasHdf5WeightsDescr]"}, "bioimageio.spec.model.v0_5.WeightsDescr.onnx": {"fullname": "bioimageio.spec.model.v0_5.WeightsDescr.onnx", "modulename": "bioimageio.spec.model.v0_5", "qualname": "WeightsDescr.onnx", "kind": "variable", "doc": "

\n", "annotation": ": Optional[bioimageio.spec.model.v0_5.OnnxWeightsDescr]"}, "bioimageio.spec.model.v0_5.WeightsDescr.pytorch_state_dict": {"fullname": "bioimageio.spec.model.v0_5.WeightsDescr.pytorch_state_dict", "modulename": "bioimageio.spec.model.v0_5", "qualname": "WeightsDescr.pytorch_state_dict", "kind": "variable", "doc": "

\n", "annotation": ": Optional[bioimageio.spec.model.v0_5.PytorchStateDictWeightsDescr]"}, "bioimageio.spec.model.v0_5.WeightsDescr.tensorflow_js": {"fullname": "bioimageio.spec.model.v0_5.WeightsDescr.tensorflow_js", "modulename": "bioimageio.spec.model.v0_5", "qualname": "WeightsDescr.tensorflow_js", "kind": "variable", "doc": "

\n", "annotation": ": Optional[bioimageio.spec.model.v0_5.TensorflowJsWeightsDescr]"}, "bioimageio.spec.model.v0_5.WeightsDescr.tensorflow_saved_model_bundle": {"fullname": "bioimageio.spec.model.v0_5.WeightsDescr.tensorflow_saved_model_bundle", "modulename": "bioimageio.spec.model.v0_5", "qualname": "WeightsDescr.tensorflow_saved_model_bundle", "kind": "variable", "doc": "

\n", "annotation": ": Optional[bioimageio.spec.model.v0_5.TensorflowSavedModelBundleWeightsDescr]"}, "bioimageio.spec.model.v0_5.WeightsDescr.torchscript": {"fullname": "bioimageio.spec.model.v0_5.WeightsDescr.torchscript", "modulename": "bioimageio.spec.model.v0_5", "qualname": "WeightsDescr.torchscript", "kind": "variable", "doc": "

\n", "annotation": ": Optional[bioimageio.spec.model.v0_5.TorchscriptWeightsDescr]"}, "bioimageio.spec.model.v0_5.WeightsDescr.check_entries": {"fullname": "bioimageio.spec.model.v0_5.WeightsDescr.check_entries", "modulename": "bioimageio.spec.model.v0_5", "qualname": "WeightsDescr.check_entries", "kind": "function", "doc": "

\n", "signature": "(self) -> Self:", "funcdef": "def"}, "bioimageio.spec.model.v0_5.WeightsDescr.model_config": {"fullname": "bioimageio.spec.model.v0_5.WeightsDescr.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "WeightsDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.WeightsDescr.model_fields": {"fullname": "bioimageio.spec.model.v0_5.WeightsDescr.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "WeightsDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'keras_hdf5': FieldInfo(annotation=Union[KerasHdf5WeightsDescr, NoneType], required=False), 'onnx': FieldInfo(annotation=Union[OnnxWeightsDescr, NoneType], required=False), 'pytorch_state_dict': FieldInfo(annotation=Union[PytorchStateDictWeightsDescr, NoneType], required=False), 'tensorflow_js': FieldInfo(annotation=Union[TensorflowJsWeightsDescr, NoneType], required=False), 'tensorflow_saved_model_bundle': FieldInfo(annotation=Union[TensorflowSavedModelBundleWeightsDescr, NoneType], required=False), 'torchscript': FieldInfo(annotation=Union[TorchscriptWeightsDescr, NoneType], required=False)}"}, "bioimageio.spec.model.v0_5.WeightsDescr.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.WeightsDescr.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "WeightsDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.LinkedModel": {"fullname": "bioimageio.spec.model.v0_5.LinkedModel", "modulename": "bioimageio.spec.model.v0_5", "qualname": "LinkedModel", "kind": "class", "doc": "

Reference to a bioimage.io model.

\n", "bases": "bioimageio.spec._internal.node.Node"}, "bioimageio.spec.model.v0_5.LinkedModel.id": {"fullname": "bioimageio.spec.model.v0_5.LinkedModel.id", "modulename": "bioimageio.spec.model.v0_5", "qualname": "LinkedModel.id", "kind": "variable", "doc": "

A valid model id from the bioimage.io collection.

\n", "annotation": ": bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]]"}, "bioimageio.spec.model.v0_5.LinkedModel.version_number": {"fullname": "bioimageio.spec.model.v0_5.LinkedModel.version_number", "modulename": "bioimageio.spec.model.v0_5", "qualname": "LinkedModel.version_number", "kind": "variable", "doc": "

version number (n-th published version, not the semantic version) of linked model

\n", "annotation": ": int"}, "bioimageio.spec.model.v0_5.LinkedModel.model_config": {"fullname": "bioimageio.spec.model.v0_5.LinkedModel.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "LinkedModel.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.model.v0_5.LinkedModel.model_fields": {"fullname": "bioimageio.spec.model.v0_5.LinkedModel.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "LinkedModel.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'id': FieldInfo(annotation=ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]], required=True), 'version_number': FieldInfo(annotation=int, required=True)}"}, "bioimageio.spec.model.v0_5.LinkedModel.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.LinkedModel.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "LinkedModel.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.ModelDescr": {"fullname": "bioimageio.spec.model.v0_5.ModelDescr", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ModelDescr", "kind": "class", "doc": "

Specification of the fields used in a bioimage.io-compliant RDF to describe AI models with pretrained weights.\nThese fields are typically stored in a YAML file which we call a model resource description file (model RDF).

\n", "bases": "bioimageio.spec.generic.v0_3.GenericModelDescrBase"}, "bioimageio.spec.model.v0_5.ModelDescr.format_version": {"fullname": "bioimageio.spec.model.v0_5.ModelDescr.format_version", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ModelDescr.format_version", "kind": "variable", "doc": "

Version of the bioimage.io model description specification used.\nWhen creating a new model always use the latest micro/patch version described here.\nThe format_version is important for any consumer software to understand how to parse the fields.

\n", "annotation": ": Literal['0.5.0']"}, "bioimageio.spec.model.v0_5.ModelDescr.type": {"fullname": "bioimageio.spec.model.v0_5.ModelDescr.type", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ModelDescr.type", "kind": "variable", "doc": "

Specialized resource type 'model'

\n", "annotation": ": Literal['model']"}, "bioimageio.spec.model.v0_5.ModelDescr.id": {"fullname": "bioimageio.spec.model.v0_5.ModelDescr.id", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ModelDescr.id", "kind": "variable", "doc": "

Model zoo (bioimage.io) wide, unique identifier (assigned by bioimage.io)

\n", "annotation": ": Optional[bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]]]"}, "bioimageio.spec.model.v0_5.ModelDescr.authors": {"fullname": "bioimageio.spec.model.v0_5.ModelDescr.authors", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ModelDescr.authors", "kind": "variable", "doc": "

The authors are the creators of the model RDF and the primary points of contact.

\n", "annotation": ": Annotated[List[bioimageio.spec.generic.v0_3.Author], MinLen(min_length=1)]"}, "bioimageio.spec.model.v0_5.ModelDescr.documentation": {"fullname": "bioimageio.spec.model.v0_5.ModelDescr.documentation", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ModelDescr.documentation", "kind": "variable", "doc": "

\u2208\ud83d\udce6 URL or relative path to a markdown file with additional documentation.\nThe recommended documentation file name is README.md. An .md suffix is mandatory.\nThe documentation should include a '#[#] Validation' (sub)section\nwith details on how to quantitatively validate the model on unseen data.

\n", "annotation": ": Annotated[Union[Annotated[pathlib.Path, PathType(path_type='file'), Predicate(func=<function PurePath.is_absolute at 0x7f4545045940>)], bioimageio.spec._internal.io.RelativeFilePath, bioimageio.spec._internal.url.HttpUrl], AfterValidator(func=<function _validate_md_suffix at 0x7f4541bcade0>), PlainSerializer(func=<function _package at 0x7f4541d118a0>, return_type=PydanticUndefined, when_used='unless-none'), FieldInfo(annotation=NoneType, required=True, examples=['https://raw.githubusercontent.com/bioimage-io/spec-bioimage-io/main/example_descriptions/models/unet2d_nuclei_broad/README.md', 'README.md'])]"}, "bioimageio.spec.model.v0_5.ModelDescr.inputs": {"fullname": "bioimageio.spec.model.v0_5.ModelDescr.inputs", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ModelDescr.inputs", "kind": "variable", "doc": "

Describes the input tensors expected by this model.

\n", "annotation": ": Annotated[Sequence[bioimageio.spec.model.v0_5.InputTensorDescr], MinLen(min_length=1)]"}, "bioimageio.spec.model.v0_5.ModelDescr.name": {"fullname": "bioimageio.spec.model.v0_5.ModelDescr.name", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ModelDescr.name", "kind": "variable", "doc": "

A human-readable name of this model.\nIt should be no longer than 64 characters\nand may only contain letter, number, underscore, minus, parentheses and spaces.\nWe recommend to chose a name that refers to the model's task and image modality.

\n", "annotation": ": Annotated[str, RestrictCharacters(alphabet='abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789_- ()'), MinLen(min_length=5), MaxLen(max_length=128), AfterWarner(func=<function as_warning.<locals>.wrapper at 0x7f4532f7c680>, severity=20, msg='Name longer than 64 characters.', context={'typ': Annotated[Any, MaxLen(max_length=64)]})]"}, "bioimageio.spec.model.v0_5.ModelDescr.outputs": {"fullname": "bioimageio.spec.model.v0_5.ModelDescr.outputs", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ModelDescr.outputs", "kind": "variable", "doc": "

Describes the output tensors.

\n", "annotation": ": Annotated[Sequence[bioimageio.spec.model.v0_5.OutputTensorDescr], MinLen(min_length=1)]"}, "bioimageio.spec.model.v0_5.ModelDescr.packaged_by": {"fullname": "bioimageio.spec.model.v0_5.ModelDescr.packaged_by", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ModelDescr.packaged_by", "kind": "variable", "doc": "

The persons that have packaged and uploaded this model.\nOnly required if those persons differ from the authors.

\n", "annotation": ": List[bioimageio.spec.generic.v0_3.Author]"}, "bioimageio.spec.model.v0_5.ModelDescr.parent": {"fullname": "bioimageio.spec.model.v0_5.ModelDescr.parent", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ModelDescr.parent", "kind": "variable", "doc": "

The model from which this model is derived, e.g. by fine-tuning the weights.

\n", "annotation": ": Optional[bioimageio.spec.model.v0_5.LinkedModel]"}, "bioimageio.spec.model.v0_5.ModelDescr.run_mode": {"fullname": "bioimageio.spec.model.v0_5.ModelDescr.run_mode", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ModelDescr.run_mode", "kind": "variable", "doc": "

Custom run mode for this model: for more complex prediction procedures like test time\ndata augmentation that currently cannot be expressed in the specification.\nNo standard run modes are defined yet.

\n", "annotation": ": Annotated[Optional[bioimageio.spec.model.v0_4.RunMode], AfterWarner(func=<function as_warning.<locals>.wrapper at 0x7f4532f7efc0>, severity=30, msg="Run mode '{value}' has limited support across consumer softwares.", context={'typ': None})]"}, "bioimageio.spec.model.v0_5.ModelDescr.timestamp": {"fullname": "bioimageio.spec.model.v0_5.ModelDescr.timestamp", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ModelDescr.timestamp", "kind": "variable", "doc": "

Timestamp in ISO 8601 format\nwith a few restrictions listed here.\n(In Python a datetime object is valid, too).

\n", "annotation": ": bioimageio.spec._internal.types.Datetime"}, "bioimageio.spec.model.v0_5.ModelDescr.training_data": {"fullname": "bioimageio.spec.model.v0_5.ModelDescr.training_data", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ModelDescr.training_data", "kind": "variable", "doc": "

The dataset used to train this model

\n", "annotation": ": Union[bioimageio.spec.dataset.v0_3.LinkedDataset, bioimageio.spec.dataset.v0_3.DatasetDescr, NoneType]"}, "bioimageio.spec.model.v0_5.ModelDescr.weights": {"fullname": "bioimageio.spec.model.v0_5.ModelDescr.weights", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ModelDescr.weights", "kind": "variable", "doc": "

The weights for this model.\nWeights can be given for different formats, but should otherwise be equivalent.\nThe available weight formats determine which consumers can use this model.

\n", "annotation": ": bioimageio.spec.model.v0_5.WeightsDescr"}, "bioimageio.spec.model.v0_5.ModelDescr.get_input_test_arrays": {"fullname": "bioimageio.spec.model.v0_5.ModelDescr.get_input_test_arrays", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ModelDescr.get_input_test_arrays", "kind": "function", "doc": "

\n", "signature": "(self) -> List[numpy.ndarray[Any, numpy.dtype[Any]]]:", "funcdef": "def"}, "bioimageio.spec.model.v0_5.ModelDescr.get_output_test_arrays": {"fullname": "bioimageio.spec.model.v0_5.ModelDescr.get_output_test_arrays", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ModelDescr.get_output_test_arrays", "kind": "function", "doc": "

\n", "signature": "(self) -> List[numpy.ndarray[Any, numpy.dtype[Any]]]:", "funcdef": "def"}, "bioimageio.spec.model.v0_5.ModelDescr.get_tensor_sizes": {"fullname": "bioimageio.spec.model.v0_5.ModelDescr.get_tensor_sizes", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ModelDescr.get_tensor_sizes", "kind": "function", "doc": "

\n", "signature": "(\tself,\tns: Dict[Tuple[bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, AfterValidator, AfterValidator, Annotated[TypeVar, Predicate], MaxLen]], bioimageio.spec.model.v0_5.AxisId], int],\tbatch_size: int) -> bioimageio.spec.model.v0_5._TensorSizes:", "funcdef": "def"}, "bioimageio.spec.model.v0_5.ModelDescr.implemented_format_version": {"fullname": "bioimageio.spec.model.v0_5.ModelDescr.implemented_format_version", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ModelDescr.implemented_format_version", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[str]", "default_value": "'0.5.0'"}, "bioimageio.spec.model.v0_5.ModelDescr.implemented_format_version_tuple": {"fullname": "bioimageio.spec.model.v0_5.ModelDescr.implemented_format_version_tuple", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ModelDescr.implemented_format_version_tuple", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[Tuple[int, int, int]]", "default_value": "(0, 5, 0)"}, "bioimageio.spec.model.v0_5.ModelDescr.model_config": {"fullname": "bioimageio.spec.model.v0_5.ModelDescr.model_config", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ModelDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True, 'title': 'bioimage.io model specification'}"}, "bioimageio.spec.model.v0_5.ModelDescr.model_fields": {"fullname": "bioimageio.spec.model.v0_5.ModelDescr.model_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ModelDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'name': FieldInfo(annotation=str, required=True, metadata=[RestrictCharacters(alphabet='abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789_- ()'), MinLen(min_length=5), MaxLen(max_length=128), AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=20, msg='Name longer than 64 characters.', context={'typ': typing.Annotated[typing.Any, MaxLen(max_length=64)]})]), 'description': FieldInfo(annotation=str, required=True, metadata=[MaxLen(max_length=1024), AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=30, msg='Description longer than 512 characters.', context={'typ': typing.Annotated[typing.Any, MaxLen(max_length=512)]})]), 'covers': FieldInfo(annotation=List[Annotated[Union[HttpUrl, Annotated[Path, PathType, Predicate], RelativeFilePath], WithSuffix, PlainSerializer]], required=False, default_factory=list, description="Cover images. Please use an image smaller than 500KB and an aspect ratio width to height of 2:1 or 1:1.\\nThe supported image formats are: ('.gif', '.jpeg', '.jpg', '.png', '.svg')", examples=[]), 'id_emoji': FieldInfo(annotation=Union[Annotated[str, Len], NoneType], required=False), 'authors': FieldInfo(annotation=List[Author], required=True, metadata=[MinLen(min_length=1)]), 'attachments': FieldInfo(annotation=List[FileDescr], required=False, default_factory=list), 'cite': FieldInfo(annotation=List[CiteEntry], required=True, metadata=[MinLen(min_length=1)]), 'license': FieldInfo(annotation=Union[LicenseId, DeprecatedLicenseId], required=True, examples=['CC-BY-4.0', 'MIT', 'BSD-2-Clause'], metadata=[AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=30, msg='{value} is deprecated, see https://spdx.org/licenses/{value}.html', context={'typ': <class 'bioimageio.spec._internal.license_id.LicenseId'>})]), 'config': FieldInfo(annotation=Dict[str, YamlValue], required=False, default_factory=dict, examples=[{'bioimageio': {'my_custom_key': 3837283, 'another_key': {'nested': 'value'}}, 'imagej': {'macro_dir': 'path/to/macro/file'}}]), 'git_repo': FieldInfo(annotation=Union[HttpUrl, NoneType], required=False, examples=['https://github.com/bioimage-io/spec-bioimage-io/tree/main/example_descriptions/models/unet2d_nuclei_broad']), 'icon': FieldInfo(annotation=Union[Annotated[Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator, PlainSerializer], Annotated[str, Len], NoneType], required=False), 'links': FieldInfo(annotation=List[str], required=False, default_factory=list, examples=[('ilastik/ilastik', 'deepimagej/deepimagej', 'zero/notebook_u-net_3d_zerocostdl4mic')]), 'uploader': FieldInfo(annotation=Union[Uploader, NoneType], required=False), 'maintainers': FieldInfo(annotation=List[Maintainer], required=False, default_factory=list), 'tags': FieldInfo(annotation=List[str], required=False, default_factory=list, examples=[('unet2d', 'pytorch', 'nucleus', 'segmentation', 'dsb2018')]), 'version': FieldInfo(annotation=Union[Version, NoneType], required=False), 'version_number': FieldInfo(annotation=Union[int, NoneType], required=False), 'format_version': FieldInfo(annotation=Literal['0.5.0'], required=False, default='0.5.0'), 'type': FieldInfo(annotation=Literal['model'], required=False, default='model'), 'id': FieldInfo(annotation=Union[ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]], NoneType], required=False), 'documentation': FieldInfo(annotation=Union[Annotated[Path, PathType, Predicate], RelativeFilePath, HttpUrl], required=True, examples=['https://raw.githubusercontent.com/bioimage-io/spec-bioimage-io/main/example_descriptions/models/unet2d_nuclei_broad/README.md', 'README.md'], metadata=[AfterValidator(func=<function _validate_md_suffix>), PlainSerializer(func=<function _package>, return_type=PydanticUndefined, when_used='unless-none')]), 'inputs': FieldInfo(annotation=Sequence[InputTensorDescr], required=True, metadata=[MinLen(min_length=1)]), 'outputs': FieldInfo(annotation=Sequence[OutputTensorDescr], required=True, metadata=[MinLen(min_length=1)]), 'packaged_by': FieldInfo(annotation=List[Author], required=False, default_factory=list), 'parent': FieldInfo(annotation=Union[LinkedModel, NoneType], required=False), 'run_mode': FieldInfo(annotation=Union[RunMode, NoneType], required=False, metadata=[AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=30, msg="Run mode '{value}' has limited support across consumer softwares.", context={'typ': None})]), 'timestamp': FieldInfo(annotation=Datetime, required=False, default=Datetime(root=datetime.datetime(2024, 3, 20, 20, 44, 50, 440653))), 'training_data': FieldInfo(annotation=Union[LinkedDataset, DatasetDescr, NoneType], required=False), 'weights': FieldInfo(annotation=WeightsDescr, required=True)}"}, "bioimageio.spec.model.v0_5.ModelDescr.model_computed_fields": {"fullname": "bioimageio.spec.model.v0_5.ModelDescr.model_computed_fields", "modulename": "bioimageio.spec.model.v0_5", "qualname": "ModelDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.model.v0_5.generate_covers": {"fullname": "bioimageio.spec.model.v0_5.generate_covers", "modulename": "bioimageio.spec.model.v0_5", "qualname": "generate_covers", "kind": "function", "doc": "

\n", "signature": "(\tinputs: Sequence[Tuple[bioimageio.spec.model.v0_5.InputTensorDescr, numpy.ndarray[Any, numpy.dtype[Any]]]],\toutputs: Sequence[Tuple[bioimageio.spec.model.v0_5.OutputTensorDescr, numpy.ndarray[Any, numpy.dtype[Any]]]]) -> List[pathlib.Path]:", "funcdef": "def"}, "bioimageio.spec.model.v0_5.TensorDescrBase[Annotated[Union[BatchAxis, ChannelAxis, IndexInputAxis, TimeInputAxis, SpaceInputAxis], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]": {"fullname": "bioimageio.spec.model.v0_5.TensorDescrBase[Annotated[Union[BatchAxis, ChannelAxis, IndexInputAxis, TimeInputAxis, SpaceInputAxis], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TensorDescrBase[Annotated[Union[BatchAxis, ChannelAxis, IndexInputAxis, TimeInputAxis, SpaceInputAxis], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "bioimageio.spec._internal.node.Node, typing.Generic[~IO_AxisT]"}, "bioimageio.spec.model.v0_5.TensorDescrBase[Annotated[Union[BatchAxis, ChannelAxis, IndexOutputAxis, TimeOutputAxis, SpaceOutputAxis], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]": {"fullname": "bioimageio.spec.model.v0_5.TensorDescrBase[Annotated[Union[BatchAxis, ChannelAxis, IndexOutputAxis, TimeOutputAxis, SpaceOutputAxis], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]", "modulename": "bioimageio.spec.model.v0_5", "qualname": "TensorDescrBase[Annotated[Union[BatchAxis, ChannelAxis, IndexOutputAxis, TimeOutputAxis, SpaceOutputAxis], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]", "kind": "class", "doc": "

Subpart of a resource description

\n", "bases": "bioimageio.spec._internal.node.Node, typing.Generic[~IO_AxisT]"}, "bioimageio.spec.notebook": {"fullname": "bioimageio.spec.notebook", "modulename": "bioimageio.spec.notebook", "kind": "module", "doc": "

implementaions of all released minor versions are available in submodules:

\n\n\n"}, "bioimageio.spec.notebook.AnyNotebookDescr": {"fullname": "bioimageio.spec.notebook.AnyNotebookDescr", "modulename": "bioimageio.spec.notebook", "qualname": "AnyNotebookDescr", "kind": "variable", "doc": "

Union of any released notebook desription

\n", "default_value": "typing.Annotated[typing.Union[bioimageio.spec.notebook.v0_2.NotebookDescr, bioimageio.spec.notebook.v0_3.NotebookDescr], Discriminator(discriminator='format_version', custom_error_type=None, custom_error_message=None, custom_error_context=None)]"}, "bioimageio.spec.notebook.v0_2": {"fullname": "bioimageio.spec.notebook.v0_2", "modulename": "bioimageio.spec.notebook.v0_2", "kind": "module", "doc": "

\n"}, "bioimageio.spec.notebook.v0_2.NotebookSource": {"fullname": "bioimageio.spec.notebook.v0_2.NotebookSource", "modulename": "bioimageio.spec.notebook.v0_2", "qualname": "NotebookSource", "kind": "variable", "doc": "

\n", "default_value": "typing.Union[typing.Annotated[bioimageio.spec._internal.url.HttpUrl, WithSuffix(suffix='.ipynb', case_sensitive=True)], typing.Annotated[pathlib.Path, PathType(path_type='file'), Predicate(func=<function PurePath.is_absolute>), WithSuffix(suffix='.ipynb', case_sensitive=True)], typing.Annotated[bioimageio.spec._internal.io.RelativeFilePath, WithSuffix(suffix='.ipynb', case_sensitive=True)]]"}, "bioimageio.spec.notebook.v0_2.NotebookDescr": {"fullname": "bioimageio.spec.notebook.v0_2.NotebookDescr", "modulename": "bioimageio.spec.notebook.v0_2", "qualname": "NotebookDescr", "kind": "class", "doc": "

Bioimage.io description of a Jupyter Notebook.

\n", "bases": "bioimageio.spec.generic.v0_2.GenericDescrBase"}, "bioimageio.spec.notebook.v0_2.NotebookDescr.type": {"fullname": "bioimageio.spec.notebook.v0_2.NotebookDescr.type", "modulename": "bioimageio.spec.notebook.v0_2", "qualname": "NotebookDescr.type", "kind": "variable", "doc": "

\n", "annotation": ": Literal['notebook']"}, "bioimageio.spec.notebook.v0_2.NotebookDescr.id": {"fullname": "bioimageio.spec.notebook.v0_2.NotebookDescr.id", "modulename": "bioimageio.spec.notebook.v0_2", "qualname": "NotebookDescr.id", "kind": "variable", "doc": "

Model zoo (bioimage.io) wide, unique identifier (assigned by bioimage.io)

\n", "annotation": ": Optional[bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]]]"}, "bioimageio.spec.notebook.v0_2.NotebookDescr.source": {"fullname": "bioimageio.spec.notebook.v0_2.NotebookDescr.source", "modulename": "bioimageio.spec.notebook.v0_2", "qualname": "NotebookDescr.source", "kind": "variable", "doc": "

The Jupyter notebook

\n", "annotation": ": Union[Annotated[bioimageio.spec._internal.url.HttpUrl, WithSuffix(suffix='.ipynb', case_sensitive=True)], Annotated[pathlib.Path, PathType(path_type='file'), Predicate(func=<function PurePath.is_absolute at 0x7f4545045940>), WithSuffix(suffix='.ipynb', case_sensitive=True)], Annotated[bioimageio.spec._internal.io.RelativeFilePath, WithSuffix(suffix='.ipynb', case_sensitive=True)]]"}, "bioimageio.spec.notebook.v0_2.NotebookDescr.implemented_format_version": {"fullname": "bioimageio.spec.notebook.v0_2.NotebookDescr.implemented_format_version", "modulename": "bioimageio.spec.notebook.v0_2", "qualname": "NotebookDescr.implemented_format_version", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[str]", "default_value": "'0.2.4'"}, "bioimageio.spec.notebook.v0_2.NotebookDescr.implemented_format_version_tuple": {"fullname": "bioimageio.spec.notebook.v0_2.NotebookDescr.implemented_format_version_tuple", "modulename": "bioimageio.spec.notebook.v0_2", "qualname": "NotebookDescr.implemented_format_version_tuple", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[Tuple[int, int, int]]", "default_value": "(0, 2, 4)"}, "bioimageio.spec.notebook.v0_2.NotebookDescr.model_config": {"fullname": "bioimageio.spec.notebook.v0_2.NotebookDescr.model_config", "modulename": "bioimageio.spec.notebook.v0_2", "qualname": "NotebookDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True, 'title': 'bioimage.io notebook specification'}"}, "bioimageio.spec.notebook.v0_2.NotebookDescr.model_fields": {"fullname": "bioimageio.spec.notebook.v0_2.NotebookDescr.model_fields", "modulename": "bioimageio.spec.notebook.v0_2", "qualname": "NotebookDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'name': FieldInfo(annotation=str, required=True, metadata=[MinLen(min_length=1), AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=30, msg='Longer than 128 characters.', context={'typ': typing.Annotated[typing.Any, MaxLen(max_length=128)]})]), 'description': FieldInfo(annotation=str, required=True), 'covers': FieldInfo(annotation=List[Annotated[Union[HttpUrl, Annotated[Path, PathType, Predicate], RelativeFilePath], WithSuffix, PlainSerializer]], required=False, default_factory=list, description="Cover images. Please use an image smaller than 500KB and an aspect ratio width to height of 2:1.\\nThe supported image formats are: ('.gif', '.jpeg', '.jpg', '.png', '.svg')", examples=['cover.png']), 'id_emoji': FieldInfo(annotation=Union[Annotated[str, Len], NoneType], required=False), 'authors': FieldInfo(annotation=List[Author], required=False, default_factory=list), 'attachments': FieldInfo(annotation=Union[AttachmentsDescr, NoneType], required=False), 'cite': FieldInfo(annotation=List[CiteEntry], required=False, default_factory=list), 'config': FieldInfo(annotation=Dict[str, YamlValue], required=False, default_factory=dict, examples=[{'bioimageio': {'my_custom_key': 3837283, 'another_key': {'nested': 'value'}}, 'imagej': {'macro_dir': 'path/to/macro/file'}}]), 'download_url': FieldInfo(annotation=Union[HttpUrl, NoneType], required=False), 'git_repo': FieldInfo(annotation=Union[str, NoneType], required=False, examples=['https://github.com/bioimage-io/spec-bioimage-io/tree/main/example_descriptions/models/unet2d_nuclei_broad']), 'icon': FieldInfo(annotation=Union[Annotated[Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator, PlainSerializer], Annotated[str, Len], NoneType], required=False), 'links': FieldInfo(annotation=List[str], required=False, default_factory=list, examples=[('ilastik/ilastik', 'deepimagej/deepimagej', 'zero/notebook_u-net_3d_zerocostdl4mic')]), 'uploader': FieldInfo(annotation=Union[Uploader, NoneType], required=False), 'maintainers': FieldInfo(annotation=List[Maintainer], required=False, default_factory=list), 'rdf_source': FieldInfo(annotation=Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)], NoneType], required=False), 'tags': FieldInfo(annotation=List[str], required=False, default_factory=list, examples=[('unet2d', 'pytorch', 'nucleus', 'segmentation', 'dsb2018')]), 'version': FieldInfo(annotation=Union[Version, NoneType], required=False), 'version_number': FieldInfo(annotation=Union[int, NoneType], required=False), 'format_version': FieldInfo(annotation=Literal['0.2.4'], required=False, default='0.2.4'), 'badges': FieldInfo(annotation=List[BadgeDescr], required=False, default_factory=list), 'documentation': FieldInfo(annotation=Union[Annotated[Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator, PlainSerializer], NoneType], required=False, examples=['https://raw.githubusercontent.com/bioimage-io/spec-bioimage-io/main/example_descriptions/models/unet2d_nuclei_broad/README.md', 'README.md']), 'license': FieldInfo(annotation=Union[LicenseId, DeprecatedLicenseId, str, NoneType], required=False, examples=['CC-BY-4.0', 'MIT', 'BSD-2-Clause']), 'type': FieldInfo(annotation=Literal['notebook'], required=False, default='notebook'), 'id': FieldInfo(annotation=Union[ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]], NoneType], required=False), 'source': FieldInfo(annotation=Union[Annotated[HttpUrl, WithSuffix], Annotated[Path, PathType, Predicate, WithSuffix], Annotated[RelativeFilePath, WithSuffix]], required=True)}"}, "bioimageio.spec.notebook.v0_2.NotebookDescr.model_computed_fields": {"fullname": "bioimageio.spec.notebook.v0_2.NotebookDescr.model_computed_fields", "modulename": "bioimageio.spec.notebook.v0_2", "qualname": "NotebookDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.notebook.v0_2.LinkedNotebook": {"fullname": "bioimageio.spec.notebook.v0_2.LinkedNotebook", "modulename": "bioimageio.spec.notebook.v0_2", "qualname": "LinkedNotebook", "kind": "class", "doc": "

Reference to a bioimage.io notebook.

\n", "bases": "bioimageio.spec._internal.node.Node"}, "bioimageio.spec.notebook.v0_2.LinkedNotebook.id": {"fullname": "bioimageio.spec.notebook.v0_2.LinkedNotebook.id", "modulename": "bioimageio.spec.notebook.v0_2", "qualname": "LinkedNotebook.id", "kind": "variable", "doc": "

A valid notebook id from the bioimage.io collection.

\n", "annotation": ": bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]]"}, "bioimageio.spec.notebook.v0_2.LinkedNotebook.version_number": {"fullname": "bioimageio.spec.notebook.v0_2.LinkedNotebook.version_number", "modulename": "bioimageio.spec.notebook.v0_2", "qualname": "LinkedNotebook.version_number", "kind": "variable", "doc": "

version number (n-th published version, not the semantic version) of linked notebook

\n", "annotation": ": Optional[int]"}, "bioimageio.spec.notebook.v0_2.LinkedNotebook.model_config": {"fullname": "bioimageio.spec.notebook.v0_2.LinkedNotebook.model_config", "modulename": "bioimageio.spec.notebook.v0_2", "qualname": "LinkedNotebook.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.notebook.v0_2.LinkedNotebook.model_fields": {"fullname": "bioimageio.spec.notebook.v0_2.LinkedNotebook.model_fields", "modulename": "bioimageio.spec.notebook.v0_2", "qualname": "LinkedNotebook.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'id': FieldInfo(annotation=ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]], required=True), 'version_number': FieldInfo(annotation=Union[int, NoneType], required=False)}"}, "bioimageio.spec.notebook.v0_2.LinkedNotebook.model_computed_fields": {"fullname": "bioimageio.spec.notebook.v0_2.LinkedNotebook.model_computed_fields", "modulename": "bioimageio.spec.notebook.v0_2", "qualname": "LinkedNotebook.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.notebook.v0_3": {"fullname": "bioimageio.spec.notebook.v0_3", "modulename": "bioimageio.spec.notebook.v0_3", "kind": "module", "doc": "

\n"}, "bioimageio.spec.notebook.v0_3.NotebookDescr": {"fullname": "bioimageio.spec.notebook.v0_3.NotebookDescr", "modulename": "bioimageio.spec.notebook.v0_3", "qualname": "NotebookDescr", "kind": "class", "doc": "

Bioimage.io description of a Jupyter notebook.

\n", "bases": "bioimageio.spec.generic.v0_3.GenericDescrBase"}, "bioimageio.spec.notebook.v0_3.NotebookDescr.type": {"fullname": "bioimageio.spec.notebook.v0_3.NotebookDescr.type", "modulename": "bioimageio.spec.notebook.v0_3", "qualname": "NotebookDescr.type", "kind": "variable", "doc": "

\n", "annotation": ": Literal['notebook']"}, "bioimageio.spec.notebook.v0_3.NotebookDescr.id": {"fullname": "bioimageio.spec.notebook.v0_3.NotebookDescr.id", "modulename": "bioimageio.spec.notebook.v0_3", "qualname": "NotebookDescr.id", "kind": "variable", "doc": "

Model zoo (bioimage.io) wide, unique identifier (assigned by bioimage.io)

\n", "annotation": ": Optional[bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]]]"}, "bioimageio.spec.notebook.v0_3.NotebookDescr.parent": {"fullname": "bioimageio.spec.notebook.v0_3.NotebookDescr.parent", "modulename": "bioimageio.spec.notebook.v0_3", "qualname": "NotebookDescr.parent", "kind": "variable", "doc": "

The description from which this one is derived

\n", "annotation": ": Optional[bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]]]"}, "bioimageio.spec.notebook.v0_3.NotebookDescr.source": {"fullname": "bioimageio.spec.notebook.v0_3.NotebookDescr.source", "modulename": "bioimageio.spec.notebook.v0_3", "qualname": "NotebookDescr.source", "kind": "variable", "doc": "

The Jupyter notebook

\n", "annotation": ": Union[Annotated[bioimageio.spec._internal.url.HttpUrl, WithSuffix(suffix='.ipynb', case_sensitive=True)], Annotated[pathlib.Path, PathType(path_type='file'), Predicate(func=<function PurePath.is_absolute at 0x7f4545045940>), WithSuffix(suffix='.ipynb', case_sensitive=True)], Annotated[bioimageio.spec._internal.io.RelativeFilePath, WithSuffix(suffix='.ipynb', case_sensitive=True)]]"}, "bioimageio.spec.notebook.v0_3.NotebookDescr.implemented_format_version": {"fullname": "bioimageio.spec.notebook.v0_3.NotebookDescr.implemented_format_version", "modulename": "bioimageio.spec.notebook.v0_3", "qualname": "NotebookDescr.implemented_format_version", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[str]", "default_value": "'0.3.0'"}, "bioimageio.spec.notebook.v0_3.NotebookDescr.implemented_format_version_tuple": {"fullname": "bioimageio.spec.notebook.v0_3.NotebookDescr.implemented_format_version_tuple", "modulename": "bioimageio.spec.notebook.v0_3", "qualname": "NotebookDescr.implemented_format_version_tuple", "kind": "variable", "doc": "

\n", "annotation": ": ClassVar[Tuple[int, int, int]]", "default_value": "(0, 3, 0)"}, "bioimageio.spec.notebook.v0_3.NotebookDescr.model_config": {"fullname": "bioimageio.spec.notebook.v0_3.NotebookDescr.model_config", "modulename": "bioimageio.spec.notebook.v0_3", "qualname": "NotebookDescr.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True, 'title': 'bioimage.io notebook specification'}"}, "bioimageio.spec.notebook.v0_3.NotebookDescr.model_fields": {"fullname": "bioimageio.spec.notebook.v0_3.NotebookDescr.model_fields", "modulename": "bioimageio.spec.notebook.v0_3", "qualname": "NotebookDescr.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'name': FieldInfo(annotation=str, required=True, metadata=[MinLen(min_length=1), MaxLen(max_length=128)]), 'description': FieldInfo(annotation=str, required=True, metadata=[MaxLen(max_length=1024), AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=30, msg='Description longer than 512 characters.', context={'typ': typing.Annotated[typing.Any, MaxLen(max_length=512)]})]), 'covers': FieldInfo(annotation=List[Annotated[Union[HttpUrl, Annotated[Path, PathType, Predicate], RelativeFilePath], WithSuffix, PlainSerializer]], required=False, default_factory=list, description="Cover images. Please use an image smaller than 500KB and an aspect ratio width to height of 2:1 or 1:1.\\nThe supported image formats are: ('.gif', '.jpeg', '.jpg', '.png', '.svg')", examples=[]), 'id_emoji': FieldInfo(annotation=Union[Annotated[str, Len], NoneType], required=False), 'authors': FieldInfo(annotation=List[Author], required=True, metadata=[MinLen(min_length=1)]), 'attachments': FieldInfo(annotation=List[FileDescr], required=False, default_factory=list), 'cite': FieldInfo(annotation=List[CiteEntry], required=True, metadata=[MinLen(min_length=1)]), 'license': FieldInfo(annotation=Union[LicenseId, DeprecatedLicenseId], required=True, examples=['CC-BY-4.0', 'MIT', 'BSD-2-Clause'], metadata=[AfterWarner(func=<function as_warning.<locals>.wrapper>, severity=30, msg='{value} is deprecated, see https://spdx.org/licenses/{value}.html', context={'typ': <class 'bioimageio.spec._internal.license_id.LicenseId'>})]), 'config': FieldInfo(annotation=Dict[str, YamlValue], required=False, default_factory=dict, examples=[{'bioimageio': {'my_custom_key': 3837283, 'another_key': {'nested': 'value'}}, 'imagej': {'macro_dir': 'path/to/macro/file'}}]), 'git_repo': FieldInfo(annotation=Union[HttpUrl, NoneType], required=False, examples=['https://github.com/bioimage-io/spec-bioimage-io/tree/main/example_descriptions/models/unet2d_nuclei_broad']), 'icon': FieldInfo(annotation=Union[Annotated[Union[Annotated[Path, PathType], RelativeFilePath, HttpUrl, Annotated[Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)]], AfterValidator, PlainSerializer], Annotated[str, Len], NoneType], required=False), 'links': FieldInfo(annotation=List[str], required=False, default_factory=list, examples=[('ilastik/ilastik', 'deepimagej/deepimagej', 'zero/notebook_u-net_3d_zerocostdl4mic')]), 'uploader': FieldInfo(annotation=Union[Uploader, NoneType], required=False), 'maintainers': FieldInfo(annotation=List[Maintainer], required=False, default_factory=list), 'tags': FieldInfo(annotation=List[str], required=False, default_factory=list, examples=[('unet2d', 'pytorch', 'nucleus', 'segmentation', 'dsb2018')]), 'version': FieldInfo(annotation=Union[Version, NoneType], required=False), 'version_number': FieldInfo(annotation=Union[int, NoneType], required=False), 'format_version': FieldInfo(annotation=Literal['0.3.0'], required=False, default='0.3.0'), 'documentation': FieldInfo(annotation=Union[Annotated[Union[Annotated[Path, PathType, Predicate], RelativeFilePath, HttpUrl], AfterValidator, PlainSerializer], NoneType], required=False, examples=['https://raw.githubusercontent.com/bioimage-io/spec-bioimage-io/main/example_descriptions/models/unet2d_nuclei_broad/README.md', 'README.md']), 'badges': FieldInfo(annotation=List[BadgeDescr], required=False, default_factory=list), 'type': FieldInfo(annotation=Literal['notebook'], required=False, default='notebook'), 'id': FieldInfo(annotation=Union[ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]], NoneType], required=False), 'parent': FieldInfo(annotation=Union[ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]], NoneType], required=False), 'source': FieldInfo(annotation=Union[Annotated[HttpUrl, WithSuffix], Annotated[Path, PathType, Predicate, WithSuffix], Annotated[RelativeFilePath, WithSuffix]], required=True)}"}, "bioimageio.spec.notebook.v0_3.NotebookDescr.model_computed_fields": {"fullname": "bioimageio.spec.notebook.v0_3.NotebookDescr.model_computed_fields", "modulename": "bioimageio.spec.notebook.v0_3", "qualname": "NotebookDescr.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.notebook.v0_3.LinkedNotebook": {"fullname": "bioimageio.spec.notebook.v0_3.LinkedNotebook", "modulename": "bioimageio.spec.notebook.v0_3", "qualname": "LinkedNotebook", "kind": "class", "doc": "

Reference to a bioimage.io notebook.

\n", "bases": "bioimageio.spec._internal.node.Node"}, "bioimageio.spec.notebook.v0_3.LinkedNotebook.id": {"fullname": "bioimageio.spec.notebook.v0_3.LinkedNotebook.id", "modulename": "bioimageio.spec.notebook.v0_3", "qualname": "LinkedNotebook.id", "kind": "variable", "doc": "

A valid notebook id from the bioimage.io collection.

\n", "annotation": ": bioimageio.spec._internal.validated_string.ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]]"}, "bioimageio.spec.notebook.v0_3.LinkedNotebook.version_number": {"fullname": "bioimageio.spec.notebook.v0_3.LinkedNotebook.version_number", "modulename": "bioimageio.spec.notebook.v0_3", "qualname": "LinkedNotebook.version_number", "kind": "variable", "doc": "

version number (n-th published version, not the semantic version) of linked notebook

\n", "annotation": ": int"}, "bioimageio.spec.notebook.v0_3.LinkedNotebook.model_config": {"fullname": "bioimageio.spec.notebook.v0_3.LinkedNotebook.model_config", "modulename": "bioimageio.spec.notebook.v0_3", "qualname": "LinkedNotebook.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'forbid', 'frozen': False, 'populate_by_name': True, 'revalidate_instances': 'never', 'validate_assignment': True, 'validate_default': False, 'validate_return': True}"}, "bioimageio.spec.notebook.v0_3.LinkedNotebook.model_fields": {"fullname": "bioimageio.spec.notebook.v0_3.LinkedNotebook.model_fields", "modulename": "bioimageio.spec.notebook.v0_3", "qualname": "LinkedNotebook.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'id': FieldInfo(annotation=ValidatedString[Annotated[str, MinLen, Annotated[TypeVar, Predicate], Predicate]], required=True), 'version_number': FieldInfo(annotation=int, required=True)}"}, "bioimageio.spec.notebook.v0_3.LinkedNotebook.model_computed_fields": {"fullname": "bioimageio.spec.notebook.v0_3.LinkedNotebook.model_computed_fields", "modulename": "bioimageio.spec.notebook.v0_3", "qualname": "LinkedNotebook.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.partner_utils": {"fullname": "bioimageio.spec.partner_utils", "modulename": "bioimageio.spec.partner_utils", "kind": "module", "doc": "

bioimageio.spec extensions for bioimage.io community partners

\n"}, "bioimageio.spec.partner_utils.imjoy": {"fullname": "bioimageio.spec.partner_utils.imjoy", "modulename": "bioimageio.spec.partner_utils.imjoy", "kind": "module", "doc": "

\n"}, "bioimageio.spec.partner_utils.imjoy.enrich_partial_rdf_with_imjoy_plugin": {"fullname": "bioimageio.spec.partner_utils.imjoy.enrich_partial_rdf_with_imjoy_plugin", "modulename": "bioimageio.spec.partner_utils.imjoy", "qualname": "enrich_partial_rdf_with_imjoy_plugin", "kind": "function", "doc": "

a (partial) rdf may have 'rdf_source' or 'source' which resolve to rdf data that may be overwritten.\nDue to resolving imjoy plugins this is not done in bioimageio.spec.collection atm

\n", "signature": "(\tpartial_rdf: Dict[str, Any],\troot: Union[Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)], Annotated[pathlib.Path, PathType(path_type='dir')]],\tresolve_rdf_source: Callable[[Union[Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)], Annotated[pathlib.Path, PathType(path_type='file')], str]], Tuple[Dict[str, Any], str, Union[Annotated[pydantic_core._pydantic_core.Url, UrlConstraints(max_length=2083, allowed_schemes=['http', 'https'], host_required=None, default_host=None, default_port=None, default_path=None)], Annotated[pathlib.Path, PathType(path_type='dir')]]]]) -> Dict[str, Any]:", "funcdef": "def"}, "bioimageio.spec.partner_utils.imjoy.get_plugin_as_rdf": {"fullname": "bioimageio.spec.partner_utils.imjoy.get_plugin_as_rdf", "modulename": "bioimageio.spec.partner_utils.imjoy", "qualname": "get_plugin_as_rdf", "kind": "function", "doc": "

Get imjoy plugin config in RDF format.

\n", "signature": "(source_url: str) -> Dict[Any, Any]:", "funcdef": "def"}, "bioimageio.spec.pretty_validation_errors": {"fullname": "bioimageio.spec.pretty_validation_errors", "modulename": "bioimageio.spec.pretty_validation_errors", "kind": "module", "doc": "

\n"}, "bioimageio.spec.pretty_validation_errors.PrettyValidationError": {"fullname": "bioimageio.spec.pretty_validation_errors.PrettyValidationError", "modulename": "bioimageio.spec.pretty_validation_errors", "qualname": "PrettyValidationError", "kind": "class", "doc": "

Wrap a pydantic.ValidationError to custumize formatting.

\n", "bases": "builtins.ValueError"}, "bioimageio.spec.pretty_validation_errors.PrettyValidationError.__init__": {"fullname": "bioimageio.spec.pretty_validation_errors.PrettyValidationError.__init__", "modulename": "bioimageio.spec.pretty_validation_errors", "qualname": "PrettyValidationError.__init__", "kind": "function", "doc": "

\n", "signature": "(validation_error: pydantic_core._pydantic_core.ValidationError)"}, "bioimageio.spec.pretty_validation_errors.PrettyValidationError.error": {"fullname": "bioimageio.spec.pretty_validation_errors.PrettyValidationError.error", "modulename": "bioimageio.spec.pretty_validation_errors", "qualname": "PrettyValidationError.error", "kind": "variable", "doc": "

\n"}, "bioimageio.spec.pretty_validation_errors.enable_pretty_validation_errors_in_ipynb": {"fullname": "bioimageio.spec.pretty_validation_errors.enable_pretty_validation_errors_in_ipynb", "modulename": "bioimageio.spec.pretty_validation_errors", "qualname": "enable_pretty_validation_errors_in_ipynb", "kind": "function", "doc": "

A modestly hacky way to display prettified validaiton error messages and traceback\nin interactive Python notebooks

\n", "signature": "():", "funcdef": "def"}, "bioimageio.spec.summary": {"fullname": "bioimageio.spec.summary", "modulename": "bioimageio.spec.summary", "kind": "module", "doc": "

\n"}, "bioimageio.spec.summary.Loc": {"fullname": "bioimageio.spec.summary.Loc", "modulename": "bioimageio.spec.summary", "qualname": "Loc", "kind": "variable", "doc": "

location of error/warning in a nested data structure

\n", "default_value": "typing.Tuple[typing.Union[int, str], ...]"}, "bioimageio.spec.summary.WarningSeverityName": {"fullname": "bioimageio.spec.summary.WarningSeverityName", "modulename": "bioimageio.spec.summary", "qualname": "WarningSeverityName", "kind": "variable", "doc": "

\n", "default_value": "typing.Literal['info', 'warning', 'alert']"}, "bioimageio.spec.summary.WarningLevelName": {"fullname": "bioimageio.spec.summary.WarningLevelName", "modulename": "bioimageio.spec.summary", "qualname": "WarningLevelName", "kind": "variable", "doc": "

\n", "default_value": "typing.Literal['info', 'warning', 'alert', 'error']"}, "bioimageio.spec.summary.WARNING_SEVERITY_TO_NAME": {"fullname": "bioimageio.spec.summary.WARNING_SEVERITY_TO_NAME", "modulename": "bioimageio.spec.summary", "qualname": "WARNING_SEVERITY_TO_NAME", "kind": "variable", "doc": "

\n", "annotation": ": Mapping[Literal[20, 30, 35], Literal['info', 'warning', 'alert']]", "default_value": "mappingproxy({20: 'info', 30: 'warning', 35: 'alert'})"}, "bioimageio.spec.summary.WARNING_LEVEL_TO_NAME": {"fullname": "bioimageio.spec.summary.WARNING_LEVEL_TO_NAME", "modulename": "bioimageio.spec.summary", "qualname": "WARNING_LEVEL_TO_NAME", "kind": "variable", "doc": "

\n", "annotation": ": Mapping[Literal[20, 30, 35, 50], Literal['info', 'warning', 'alert', 'error']]", "default_value": "mappingproxy({20: 'info', 30: 'warning', 35: 'alert', 50: 'error'})"}, "bioimageio.spec.summary.WARNING_NAME_TO_LEVEL": {"fullname": "bioimageio.spec.summary.WARNING_NAME_TO_LEVEL", "modulename": "bioimageio.spec.summary", "qualname": "WARNING_NAME_TO_LEVEL", "kind": "variable", "doc": "

\n", "annotation": ": Mapping[Literal['info', 'warning', 'alert', 'error'], Literal[20, 30, 35, 50]]", "default_value": "mappingproxy({'info': 20, 'warning': 30, 'alert': 35, 'error': 50})"}, "bioimageio.spec.summary.ValidationEntry": {"fullname": "bioimageio.spec.summary.ValidationEntry", "modulename": "bioimageio.spec.summary", "qualname": "ValidationEntry", "kind": "class", "doc": "

Usage docs: https://docs.pydantic.dev/2.6/concepts/models/

\n\n

A base class for creating Pydantic models.

\n\n

Attributes:\n __class_vars__: The names of classvars defined on the model.\n __private_attributes__: Metadata about the private attributes of the model.\n __signature__: The signature for instantiating the model.

\n\n
__pydantic_complete__: Whether model building is completed, or if there are still undefined fields.\n__pydantic_core_schema__: The pydantic-core schema used to build the SchemaValidator and SchemaSerializer.\n__pydantic_custom_init__: Whether the model has a custom `__init__` function.\n__pydantic_decorators__: Metadata containing the decorators defined on the model.\n    This replaces `Model.__validators__` and `Model.__root_validators__` from Pydantic V1.\n__pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to\n    __args__, __origin__, __parameters__ in typing-module generics. May eventually be replaced by these.\n__pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models.\n__pydantic_post_init__: The name of the post-init method for the model, if defined.\n__pydantic_root_model__: Whether the model is a `RootModel`.\n__pydantic_serializer__: The pydantic-core SchemaSerializer used to dump instances of the model.\n__pydantic_validator__: The pydantic-core SchemaValidator used to validate instances of the model.\n\n__pydantic_extra__: An instance attribute with the values of extra fields from validation when\n    `model_config['extra'] == 'allow'`.\n__pydantic_fields_set__: An instance attribute with the names of fields explicitly set.\n__pydantic_private__: Instance attribute with the values of private attributes set on the model instance.\n
\n", "bases": "pydantic.main.BaseModel"}, "bioimageio.spec.summary.ValidationEntry.loc": {"fullname": "bioimageio.spec.summary.ValidationEntry.loc", "modulename": "bioimageio.spec.summary", "qualname": "ValidationEntry.loc", "kind": "variable", "doc": "

\n", "annotation": ": Tuple[Union[int, str], ...]"}, "bioimageio.spec.summary.ValidationEntry.msg": {"fullname": "bioimageio.spec.summary.ValidationEntry.msg", "modulename": "bioimageio.spec.summary", "qualname": "ValidationEntry.msg", "kind": "variable", "doc": "

\n", "annotation": ": str"}, "bioimageio.spec.summary.ValidationEntry.type": {"fullname": "bioimageio.spec.summary.ValidationEntry.type", "modulename": "bioimageio.spec.summary", "qualname": "ValidationEntry.type", "kind": "variable", "doc": "

\n", "annotation": ": Union[Literal['no_such_attribute', 'json_invalid', 'json_type', 'recursion_loop', 'missing', 'frozen_field', 'frozen_instance', 'extra_forbidden', 'invalid_key', 'get_attribute_error', 'model_type', 'model_attributes_type', 'dataclass_type', 'dataclass_exact_type', 'none_required', 'greater_than', 'greater_than_equal', 'less_than', 'less_than_equal', 'multiple_of', 'finite_number', 'too_short', 'too_long', 'iterable_type', 'iteration_error', 'string_type', 'string_sub_type', 'string_unicode', 'string_too_short', 'string_too_long', 'string_pattern_mismatch', 'enum', 'dict_type', 'mapping_type', 'list_type', 'tuple_type', 'set_type', 'bool_type', 'bool_parsing', 'int_type', 'int_parsing', 'int_parsing_size', 'int_from_float', 'float_type', 'float_parsing', 'bytes_type', 'bytes_too_short', 'bytes_too_long', 'value_error', 'assertion_error', 'literal_error', 'date_type', 'date_parsing', 'date_from_datetime_parsing', 'date_from_datetime_inexact', 'date_past', 'date_future', 'time_type', 'time_parsing', 'datetime_type', 'datetime_parsing', 'datetime_object_invalid', 'datetime_from_date_parsing', 'datetime_past', 'datetime_future', 'timezone_naive', 'timezone_aware', 'timezone_offset', 'time_delta_type', 'time_delta_parsing', 'frozen_set_type', 'is_instance_of', 'is_subclass_of', 'callable_type', 'union_tag_invalid', 'union_tag_not_found', 'arguments_type', 'missing_argument', 'unexpected_keyword_argument', 'missing_keyword_only_argument', 'unexpected_positional_argument', 'missing_positional_only_argument', 'multiple_argument_values', 'url_type', 'url_parsing', 'url_syntax_violation', 'url_too_long', 'url_scheme', 'uuid_type', 'uuid_parsing', 'uuid_version', 'decimal_type', 'decimal_parsing', 'decimal_max_digits', 'decimal_max_places', 'decimal_whole_digits'], str]"}, "bioimageio.spec.summary.ValidationEntry.model_config": {"fullname": "bioimageio.spec.summary.ValidationEntry.model_config", "modulename": "bioimageio.spec.summary", "qualname": "ValidationEntry.model_config", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.summary.ValidationEntry.model_fields": {"fullname": "bioimageio.spec.summary.ValidationEntry.model_fields", "modulename": "bioimageio.spec.summary", "qualname": "ValidationEntry.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'loc': FieldInfo(annotation=Tuple[Union[int, str], ...], required=True), 'msg': FieldInfo(annotation=str, required=True), 'type': FieldInfo(annotation=Union[Literal['no_such_attribute', 'json_invalid', 'json_type', 'recursion_loop', 'missing', 'frozen_field', 'frozen_instance', 'extra_forbidden', 'invalid_key', 'get_attribute_error', 'model_type', 'model_attributes_type', 'dataclass_type', 'dataclass_exact_type', 'none_required', 'greater_than', 'greater_than_equal', 'less_than', 'less_than_equal', 'multiple_of', 'finite_number', 'too_short', 'too_long', 'iterable_type', 'iteration_error', 'string_type', 'string_sub_type', 'string_unicode', 'string_too_short', 'string_too_long', 'string_pattern_mismatch', 'enum', 'dict_type', 'mapping_type', 'list_type', 'tuple_type', 'set_type', 'bool_type', 'bool_parsing', 'int_type', 'int_parsing', 'int_parsing_size', 'int_from_float', 'float_type', 'float_parsing', 'bytes_type', 'bytes_too_short', 'bytes_too_long', 'value_error', 'assertion_error', 'literal_error', 'date_type', 'date_parsing', 'date_from_datetime_parsing', 'date_from_datetime_inexact', 'date_past', 'date_future', 'time_type', 'time_parsing', 'datetime_type', 'datetime_parsing', 'datetime_object_invalid', 'datetime_from_date_parsing', 'datetime_past', 'datetime_future', 'timezone_naive', 'timezone_aware', 'timezone_offset', 'time_delta_type', 'time_delta_parsing', 'frozen_set_type', 'is_instance_of', 'is_subclass_of', 'callable_type', 'union_tag_invalid', 'union_tag_not_found', 'arguments_type', 'missing_argument', 'unexpected_keyword_argument', 'missing_keyword_only_argument', 'unexpected_positional_argument', 'missing_positional_only_argument', 'multiple_argument_values', 'url_type', 'url_parsing', 'url_syntax_violation', 'url_too_long', 'url_scheme', 'uuid_type', 'uuid_parsing', 'uuid_version', 'decimal_type', 'decimal_parsing', 'decimal_max_digits', 'decimal_max_places', 'decimal_whole_digits'], str], required=True)}"}, "bioimageio.spec.summary.ValidationEntry.model_computed_fields": {"fullname": "bioimageio.spec.summary.ValidationEntry.model_computed_fields", "modulename": "bioimageio.spec.summary", "qualname": "ValidationEntry.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.summary.ErrorEntry": {"fullname": "bioimageio.spec.summary.ErrorEntry", "modulename": "bioimageio.spec.summary", "qualname": "ErrorEntry", "kind": "class", "doc": "

Usage docs: https://docs.pydantic.dev/2.6/concepts/models/

\n\n

A base class for creating Pydantic models.

\n\n

Attributes:\n __class_vars__: The names of classvars defined on the model.\n __private_attributes__: Metadata about the private attributes of the model.\n __signature__: The signature for instantiating the model.

\n\n
__pydantic_complete__: Whether model building is completed, or if there are still undefined fields.\n__pydantic_core_schema__: The pydantic-core schema used to build the SchemaValidator and SchemaSerializer.\n__pydantic_custom_init__: Whether the model has a custom `__init__` function.\n__pydantic_decorators__: Metadata containing the decorators defined on the model.\n    This replaces `Model.__validators__` and `Model.__root_validators__` from Pydantic V1.\n__pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to\n    __args__, __origin__, __parameters__ in typing-module generics. May eventually be replaced by these.\n__pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models.\n__pydantic_post_init__: The name of the post-init method for the model, if defined.\n__pydantic_root_model__: Whether the model is a `RootModel`.\n__pydantic_serializer__: The pydantic-core SchemaSerializer used to dump instances of the model.\n__pydantic_validator__: The pydantic-core SchemaValidator used to validate instances of the model.\n\n__pydantic_extra__: An instance attribute with the values of extra fields from validation when\n    `model_config['extra'] == 'allow'`.\n__pydantic_fields_set__: An instance attribute with the names of fields explicitly set.\n__pydantic_private__: Instance attribute with the values of private attributes set on the model instance.\n
\n", "bases": "ValidationEntry"}, "bioimageio.spec.summary.ErrorEntry.traceback": {"fullname": "bioimageio.spec.summary.ErrorEntry.traceback", "modulename": "bioimageio.spec.summary", "qualname": "ErrorEntry.traceback", "kind": "variable", "doc": "

\n", "annotation": ": List[str]"}, "bioimageio.spec.summary.ErrorEntry.model_config": {"fullname": "bioimageio.spec.summary.ErrorEntry.model_config", "modulename": "bioimageio.spec.summary", "qualname": "ErrorEntry.model_config", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.summary.ErrorEntry.model_fields": {"fullname": "bioimageio.spec.summary.ErrorEntry.model_fields", "modulename": "bioimageio.spec.summary", "qualname": "ErrorEntry.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'loc': FieldInfo(annotation=Tuple[Union[int, str], ...], required=True), 'msg': FieldInfo(annotation=str, required=True), 'type': FieldInfo(annotation=Union[Literal['no_such_attribute', 'json_invalid', 'json_type', 'recursion_loop', 'missing', 'frozen_field', 'frozen_instance', 'extra_forbidden', 'invalid_key', 'get_attribute_error', 'model_type', 'model_attributes_type', 'dataclass_type', 'dataclass_exact_type', 'none_required', 'greater_than', 'greater_than_equal', 'less_than', 'less_than_equal', 'multiple_of', 'finite_number', 'too_short', 'too_long', 'iterable_type', 'iteration_error', 'string_type', 'string_sub_type', 'string_unicode', 'string_too_short', 'string_too_long', 'string_pattern_mismatch', 'enum', 'dict_type', 'mapping_type', 'list_type', 'tuple_type', 'set_type', 'bool_type', 'bool_parsing', 'int_type', 'int_parsing', 'int_parsing_size', 'int_from_float', 'float_type', 'float_parsing', 'bytes_type', 'bytes_too_short', 'bytes_too_long', 'value_error', 'assertion_error', 'literal_error', 'date_type', 'date_parsing', 'date_from_datetime_parsing', 'date_from_datetime_inexact', 'date_past', 'date_future', 'time_type', 'time_parsing', 'datetime_type', 'datetime_parsing', 'datetime_object_invalid', 'datetime_from_date_parsing', 'datetime_past', 'datetime_future', 'timezone_naive', 'timezone_aware', 'timezone_offset', 'time_delta_type', 'time_delta_parsing', 'frozen_set_type', 'is_instance_of', 'is_subclass_of', 'callable_type', 'union_tag_invalid', 'union_tag_not_found', 'arguments_type', 'missing_argument', 'unexpected_keyword_argument', 'missing_keyword_only_argument', 'unexpected_positional_argument', 'missing_positional_only_argument', 'multiple_argument_values', 'url_type', 'url_parsing', 'url_syntax_violation', 'url_too_long', 'url_scheme', 'uuid_type', 'uuid_parsing', 'uuid_version', 'decimal_type', 'decimal_parsing', 'decimal_max_digits', 'decimal_max_places', 'decimal_whole_digits'], str], required=True), 'traceback': FieldInfo(annotation=List[str], required=False, default_factory=list)}"}, "bioimageio.spec.summary.ErrorEntry.model_computed_fields": {"fullname": "bioimageio.spec.summary.ErrorEntry.model_computed_fields", "modulename": "bioimageio.spec.summary", "qualname": "ErrorEntry.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.summary.WarningEntry": {"fullname": "bioimageio.spec.summary.WarningEntry", "modulename": "bioimageio.spec.summary", "qualname": "WarningEntry", "kind": "class", "doc": "

Usage docs: https://docs.pydantic.dev/2.6/concepts/models/

\n\n

A base class for creating Pydantic models.

\n\n

Attributes:\n __class_vars__: The names of classvars defined on the model.\n __private_attributes__: Metadata about the private attributes of the model.\n __signature__: The signature for instantiating the model.

\n\n
__pydantic_complete__: Whether model building is completed, or if there are still undefined fields.\n__pydantic_core_schema__: The pydantic-core schema used to build the SchemaValidator and SchemaSerializer.\n__pydantic_custom_init__: Whether the model has a custom `__init__` function.\n__pydantic_decorators__: Metadata containing the decorators defined on the model.\n    This replaces `Model.__validators__` and `Model.__root_validators__` from Pydantic V1.\n__pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to\n    __args__, __origin__, __parameters__ in typing-module generics. May eventually be replaced by these.\n__pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models.\n__pydantic_post_init__: The name of the post-init method for the model, if defined.\n__pydantic_root_model__: Whether the model is a `RootModel`.\n__pydantic_serializer__: The pydantic-core SchemaSerializer used to dump instances of the model.\n__pydantic_validator__: The pydantic-core SchemaValidator used to validate instances of the model.\n\n__pydantic_extra__: An instance attribute with the values of extra fields from validation when\n    `model_config['extra'] == 'allow'`.\n__pydantic_fields_set__: An instance attribute with the names of fields explicitly set.\n__pydantic_private__: Instance attribute with the values of private attributes set on the model instance.\n
\n", "bases": "ValidationEntry"}, "bioimageio.spec.summary.WarningEntry.severity": {"fullname": "bioimageio.spec.summary.WarningEntry.severity", "modulename": "bioimageio.spec.summary", "qualname": "WarningEntry.severity", "kind": "variable", "doc": "

\n", "annotation": ": Literal[20, 30, 35]"}, "bioimageio.spec.summary.WarningEntry.severity_name": {"fullname": "bioimageio.spec.summary.WarningEntry.severity_name", "modulename": "bioimageio.spec.summary", "qualname": "WarningEntry.severity_name", "kind": "variable", "doc": "

\n", "annotation": ": Literal['info', 'warning', 'alert']"}, "bioimageio.spec.summary.WarningEntry.sync_severity_with_severity_name": {"fullname": "bioimageio.spec.summary.WarningEntry.sync_severity_with_severity_name", "modulename": "bioimageio.spec.summary", "qualname": "WarningEntry.sync_severity_with_severity_name", "kind": "function", "doc": "

\n", "signature": "(cls, data: Union[Mapping[Any, Any], Any]) -> Any:", "funcdef": "def"}, "bioimageio.spec.summary.WarningEntry.model_config": {"fullname": "bioimageio.spec.summary.WarningEntry.model_config", "modulename": "bioimageio.spec.summary", "qualname": "WarningEntry.model_config", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.summary.WarningEntry.model_fields": {"fullname": "bioimageio.spec.summary.WarningEntry.model_fields", "modulename": "bioimageio.spec.summary", "qualname": "WarningEntry.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'loc': FieldInfo(annotation=Tuple[Union[int, str], ...], required=True), 'msg': FieldInfo(annotation=str, required=True), 'type': FieldInfo(annotation=Union[Literal['no_such_attribute', 'json_invalid', 'json_type', 'recursion_loop', 'missing', 'frozen_field', 'frozen_instance', 'extra_forbidden', 'invalid_key', 'get_attribute_error', 'model_type', 'model_attributes_type', 'dataclass_type', 'dataclass_exact_type', 'none_required', 'greater_than', 'greater_than_equal', 'less_than', 'less_than_equal', 'multiple_of', 'finite_number', 'too_short', 'too_long', 'iterable_type', 'iteration_error', 'string_type', 'string_sub_type', 'string_unicode', 'string_too_short', 'string_too_long', 'string_pattern_mismatch', 'enum', 'dict_type', 'mapping_type', 'list_type', 'tuple_type', 'set_type', 'bool_type', 'bool_parsing', 'int_type', 'int_parsing', 'int_parsing_size', 'int_from_float', 'float_type', 'float_parsing', 'bytes_type', 'bytes_too_short', 'bytes_too_long', 'value_error', 'assertion_error', 'literal_error', 'date_type', 'date_parsing', 'date_from_datetime_parsing', 'date_from_datetime_inexact', 'date_past', 'date_future', 'time_type', 'time_parsing', 'datetime_type', 'datetime_parsing', 'datetime_object_invalid', 'datetime_from_date_parsing', 'datetime_past', 'datetime_future', 'timezone_naive', 'timezone_aware', 'timezone_offset', 'time_delta_type', 'time_delta_parsing', 'frozen_set_type', 'is_instance_of', 'is_subclass_of', 'callable_type', 'union_tag_invalid', 'union_tag_not_found', 'arguments_type', 'missing_argument', 'unexpected_keyword_argument', 'missing_keyword_only_argument', 'unexpected_positional_argument', 'missing_positional_only_argument', 'multiple_argument_values', 'url_type', 'url_parsing', 'url_syntax_violation', 'url_too_long', 'url_scheme', 'uuid_type', 'uuid_parsing', 'uuid_version', 'decimal_type', 'decimal_parsing', 'decimal_max_digits', 'decimal_max_places', 'decimal_whole_digits'], str], required=True), 'severity': FieldInfo(annotation=Literal[20, 30, 35], required=False, default=30), 'severity_name': FieldInfo(annotation=Literal['info', 'warning', 'alert'], required=False, default='warning')}"}, "bioimageio.spec.summary.WarningEntry.model_computed_fields": {"fullname": "bioimageio.spec.summary.WarningEntry.model_computed_fields", "modulename": "bioimageio.spec.summary", "qualname": "WarningEntry.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.summary.format_loc": {"fullname": "bioimageio.spec.summary.format_loc", "modulename": "bioimageio.spec.summary", "qualname": "format_loc", "kind": "function", "doc": "

\n", "signature": "(loc: Tuple[Union[int, str], ...]) -> str:", "funcdef": "def"}, "bioimageio.spec.summary.InstalledPackage": {"fullname": "bioimageio.spec.summary.InstalledPackage", "modulename": "bioimageio.spec.summary", "qualname": "InstalledPackage", "kind": "class", "doc": "

\n", "bases": "typing_extensions.TypedDict"}, "bioimageio.spec.summary.InstalledPackage.name": {"fullname": "bioimageio.spec.summary.InstalledPackage.name", "modulename": "bioimageio.spec.summary", "qualname": "InstalledPackage.name", "kind": "variable", "doc": "

\n", "annotation": ": str"}, "bioimageio.spec.summary.InstalledPackage.version": {"fullname": "bioimageio.spec.summary.InstalledPackage.version", "modulename": "bioimageio.spec.summary", "qualname": "InstalledPackage.version", "kind": "variable", "doc": "

\n", "annotation": ": str"}, "bioimageio.spec.summary.ValidationDetail": {"fullname": "bioimageio.spec.summary.ValidationDetail", "modulename": "bioimageio.spec.summary", "qualname": "ValidationDetail", "kind": "class", "doc": "

Usage docs: https://docs.pydantic.dev/2.6/concepts/models/

\n\n

A base class for creating Pydantic models.

\n\n

Attributes:\n __class_vars__: The names of classvars defined on the model.\n __private_attributes__: Metadata about the private attributes of the model.\n __signature__: The signature for instantiating the model.

\n\n
__pydantic_complete__: Whether model building is completed, or if there are still undefined fields.\n__pydantic_core_schema__: The pydantic-core schema used to build the SchemaValidator and SchemaSerializer.\n__pydantic_custom_init__: Whether the model has a custom `__init__` function.\n__pydantic_decorators__: Metadata containing the decorators defined on the model.\n    This replaces `Model.__validators__` and `Model.__root_validators__` from Pydantic V1.\n__pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to\n    __args__, __origin__, __parameters__ in typing-module generics. May eventually be replaced by these.\n__pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models.\n__pydantic_post_init__: The name of the post-init method for the model, if defined.\n__pydantic_root_model__: Whether the model is a `RootModel`.\n__pydantic_serializer__: The pydantic-core SchemaSerializer used to dump instances of the model.\n__pydantic_validator__: The pydantic-core SchemaValidator used to validate instances of the model.\n\n__pydantic_extra__: An instance attribute with the values of extra fields from validation when\n    `model_config['extra'] == 'allow'`.\n__pydantic_fields_set__: An instance attribute with the names of fields explicitly set.\n__pydantic_private__: Instance attribute with the values of private attributes set on the model instance.\n
\n", "bases": "pydantic.main.BaseModel"}, "bioimageio.spec.summary.ValidationDetail.name": {"fullname": "bioimageio.spec.summary.ValidationDetail.name", "modulename": "bioimageio.spec.summary", "qualname": "ValidationDetail.name", "kind": "variable", "doc": "

\n", "annotation": ": str"}, "bioimageio.spec.summary.ValidationDetail.status": {"fullname": "bioimageio.spec.summary.ValidationDetail.status", "modulename": "bioimageio.spec.summary", "qualname": "ValidationDetail.status", "kind": "variable", "doc": "

\n", "annotation": ": Literal['passed', 'failed']"}, "bioimageio.spec.summary.ValidationDetail.errors": {"fullname": "bioimageio.spec.summary.ValidationDetail.errors", "modulename": "bioimageio.spec.summary", "qualname": "ValidationDetail.errors", "kind": "variable", "doc": "

\n", "annotation": ": List[bioimageio.spec.summary.ErrorEntry]"}, "bioimageio.spec.summary.ValidationDetail.warnings": {"fullname": "bioimageio.spec.summary.ValidationDetail.warnings", "modulename": "bioimageio.spec.summary", "qualname": "ValidationDetail.warnings", "kind": "variable", "doc": "

\n", "annotation": ": List[bioimageio.spec.summary.WarningEntry]"}, "bioimageio.spec.summary.ValidationDetail.status_icon": {"fullname": "bioimageio.spec.summary.ValidationDetail.status_icon", "modulename": "bioimageio.spec.summary", "qualname": "ValidationDetail.status_icon", "kind": "variable", "doc": "

\n"}, "bioimageio.spec.summary.ValidationDetail.format": {"fullname": "bioimageio.spec.summary.ValidationDetail.format", "modulename": "bioimageio.spec.summary", "qualname": "ValidationDetail.format", "kind": "function", "doc": "

\n", "signature": "(\tself,\thide_tracebacks: bool = False,\troot_loc: Tuple[Union[int, str], ...] = ()) -> str:", "funcdef": "def"}, "bioimageio.spec.summary.ValidationDetail.model_config": {"fullname": "bioimageio.spec.summary.ValidationDetail.model_config", "modulename": "bioimageio.spec.summary", "qualname": "ValidationDetail.model_config", "kind": "variable", "doc": "

\n", "default_value": "{'extra': 'allow'}"}, "bioimageio.spec.summary.ValidationDetail.model_fields": {"fullname": "bioimageio.spec.summary.ValidationDetail.model_fields", "modulename": "bioimageio.spec.summary", "qualname": "ValidationDetail.model_fields", "kind": "variable", "doc": "

\n", "default_value": "{'name': FieldInfo(annotation=str, required=True), 'status': FieldInfo(annotation=Literal['passed', 'failed'], required=True), 'errors': FieldInfo(annotation=List[ErrorEntry], required=False, default_factory=list), 'warnings': FieldInfo(annotation=List[WarningEntry], required=False, default_factory=list)}"}, "bioimageio.spec.summary.ValidationDetail.model_computed_fields": {"fullname": "bioimageio.spec.summary.ValidationDetail.model_computed_fields", "modulename": "bioimageio.spec.summary", "qualname": "ValidationDetail.model_computed_fields", "kind": "variable", "doc": "

\n", "default_value": "{}"}, "bioimageio.spec.summary.ValidationSummary": {"fullname": "bioimageio.spec.summary.ValidationSummary", "modulename": "bioimageio.spec.summary", "qualname": "ValidationSummary", "kind": "class", "doc": "

Usage docs: https://docs.pydantic.dev/2.6/concepts/models/

\n\n

A base class for creating Pydantic models.

\n\n

Attributes:\n __class_vars__: The names of classvars defined on the model.\n __private_attributes__: Metadata about the private attributes of the model.\n __signature__: The signature for instantiating the model.

\n\n
__pydantic_complete__: Whether model building is completed, or if there are still undefined fields.\n__pydantic_core_schema__: The pydantic-core schema used to build the SchemaValidator and SchemaSerializer.\n__pydantic_custom_init__: Whether the model has a custom `__init__` function.\n__pydantic_decorators__: Metadata containing the decorators defined on the model.\n    This replaces `Model.__validators__` and `Model.__root_validators__` from Pydantic V1.\n__pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to\n    __args__, __origin__, __parameters__ in typing-module generics. May eventually be replaced by these.\n__pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models.\n__pydantic_post_init__: The name of the post-init method for the model, if defined.\n__pydantic_root_model__: Whether the model is a `RootModel`.\n__pydantic_serializer__: The pydantic-core SchemaSerializer used to dump instances of the model.\n__pydantic_validator__: The pydantic-core SchemaValidator used to validate instances of the model.\n\n__pydantic_extra__: An instance attribute with the values of extra fields from validation when\n    `model_config['extra'] == 'allow'`.\n__pydantic_fields_set__: An instance attribute with the names of fields explicitly set.\n__pydantic_private__: Instance attribute with the values of private attributes set on the model instance.\n
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list of selected, relevant package versions

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{"tf": 1}, "bioimageio.spec.dataset.v0_3.DatasetDescr.id": {"tf": 1}, "bioimageio.spec.generic.v0_2.GenericDescr.id": {"tf": 1}, "bioimageio.spec.generic.v0_3.GenericDescr.id": {"tf": 1}, "bioimageio.spec.model.v0_4.ModelDescr.id": {"tf": 1}, "bioimageio.spec.model.v0_5.ModelDescr.id": {"tf": 1}, "bioimageio.spec.notebook.v0_2.NotebookDescr.id": {"tf": 1}, "bioimageio.spec.notebook.v0_3.NotebookDescr.id": {"tf": 1}}, "df": 12}}}, "k": {"docs": {"bioimageio.spec.model.v0_4.ParameterizedInputShape": {"tf": 1.7320508075688772}, "bioimageio.spec.model.v0_4.SigmoidDescr": {"tf": 1}, "bioimageio.spec.model.v0_5.SigmoidDescr": {"tf": 1}}, "df": 3, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {"bioimageio.spec": {"tf": 1.7320508075688772}, "bioimageio.spec.generic.v0_2.GenericModelDescrBase.rdf_source": {"tf": 1}}, "df": 2, "s": {"docs": {"bioimageio.spec": {"tf": 1}}, "df": 1}}}, "y": {"docs": {"bioimageio.spec._internal.common_nodes.Converter": {"tf": 1.4142135623730951}, "bioimageio.spec.generic.v0_2.GenericModelDescrBase.config": {"tf": 1.4142135623730951}, "bioimageio.spec.generic.v0_3.GenericModelDescrBase.config": {"tf": 1.4142135623730951}, "bioimageio.spec.model.v0_4.PytorchStateDictWeightsDescr.kwargs": {"tf": 1}, "bioimageio.spec.model.v0_4.ProcessingKwargs": {"tf": 1}, "bioimageio.spec.model.v0_4.BinarizeKwargs": {"tf": 1}, "bioimageio.spec.model.v0_4.ClipKwargs": {"tf": 1}, "bioimageio.spec.model.v0_4.ScaleLinearKwargs": {"tf": 1}, "bioimageio.spec.model.v0_4.ZeroMeanUnitVarianceKwargs": {"tf": 1}, "bioimageio.spec.model.v0_4.ScaleRangeKwargs": {"tf": 1}, "bioimageio.spec.model.v0_4.ScaleMeanVarianceKwargs": {"tf": 1}, "bioimageio.spec.model.v0_4.RunMode.kwargs": {"tf": 1}, "bioimageio.spec.model.v0_5.EnsureDtypeKwargs": {"tf": 1}, "bioimageio.spec.model.v0_5.ScaleLinearKwargs": {"tf": 1}, "bioimageio.spec.model.v0_5.ZeroMeanUnitVarianceKwargs": {"tf": 1}, "bioimageio.spec.model.v0_5.ScaleRangeKwargs": {"tf": 1}}, "df": 16, "s": {"docs": {"bioimageio.spec": {"tf": 1}, "bioimageio.spec._internal.utils.nest_dict_with_narrow_first_key": {"tf": 1.4142135623730951}, "bioimageio.spec.generic.v0_2.AttachmentsDescr.model_config": {"tf": 1}, "bioimageio.spec.generic.v0_2.GenericModelDescrBase.config": {"tf": 1.7320508075688772}, "bioimageio.spec.generic.v0_3.GenericModelDescrBase.config": {"tf": 1.7320508075688772}}, "df": 5}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"bioimageio.spec._internal.common_nodes.Converter": {"tf": 1}}, "df": 1}}}}}}}, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "n": {"docs": {"bioimageio.spec": {"tf": 1.4142135623730951}, "bioimageio.spec.generic.v0_2.GenericDescr": {"tf": 1}, "bioimageio.spec.generic.v0_3.GenericDescr": {"tf": 1}, "bioimageio.spec.model.v0_5.IndexOutputAxis.size": {"tf": 1}}, "df": 4}}}}, "w": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "g": {"docs": {"bioimageio.spec": {"tf": 1.7320508075688772}}, "df": 1, "s": {"docs": {"bioimageio.spec": {"tf": 1.4142135623730951}, "bioimageio.spec.model.v0_4.SigmoidDescr.kwargs": {"tf": 1}, "bioimageio.spec.model.v0_5.SigmoidDescr.kwargs": {"tf": 1}}, "df": 3}}}}}, "t": {"docs": {"bioimageio.spec._internal.common_nodes.Converter": {"tf": 1.4142135623730951}}, "df": 1}}, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {"bioimageio.spec._internal.docs_utils.get_ref_url": {"tf": 2.449489742783178}, "bioimageio.spec._internal.version_type.Version.epoch": {"tf": 2}, "bioimageio.spec._internal.version_type.Version.release": {"tf": 2.449489742783178}, "bioimageio.spec._internal.version_type.Version.pre": {"tf": 2.8284271247461903}, "bioimageio.spec._internal.version_type.Version.post": {"tf": 2}, "bioimageio.spec._internal.version_type.Version.dev": {"tf": 2}, "bioimageio.spec._internal.version_type.Version.local": {"tf": 2}, "bioimageio.spec._internal.version_type.Version.public": {"tf": 2.449489742783178}, "bioimageio.spec._internal.version_type.Version.base_version": {"tf": 2.449489742783178}, "bioimageio.spec._internal.version_type.Version.is_prerelease": {"tf": 3.1622776601683795}, "bioimageio.spec._internal.version_type.Version.is_postrelease": {"tf": 2}, "bioimageio.spec._internal.version_type.Version.is_devrelease": {"tf": 2}, "bioimageio.spec._internal.version_type.Version.major": {"tf": 1.4142135623730951}, "bioimageio.spec._internal.version_type.Version.minor": {"tf": 2}, "bioimageio.spec._internal.version_type.Version.micro": {"tf": 2}, "bioimageio.spec.model.v0_5.SizeReference": {"tf": 3.4641016151377544}}, "df": 16}}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"bioimageio.spec.model.v0_4.ModelDescr.documentation": {"tf": 1}, "bioimageio.spec.model.v0_5.ModelDescr.documentation": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}, "x": {"docs": {"bioimageio.spec._internal.warning_levels.WarningLevel": {"tf": 1.4142135623730951}, "bioimageio.spec.model.v0_4.TensorDescrBase.axes": {"tf": 1.4142135623730951}, "bioimageio.spec.model.v0_5.ZeroMeanUnitVarianceKwargs.axes": {"tf": 1.7320508075688772}, "bioimageio.spec.model.v0_5.ScaleRangeKwargs.axes": {"tf": 1.7320508075688772}, "bioimageio.spec.model.v0_5.ScaleMeanVarianceKwargs.axes": {"tf": 1.7320508075688772}}, "df": 5, "y": {"docs": {"bioimageio.spec.model.v0_4.ScaleLinearKwargs.axes": {"tf": 1}, "bioimageio.spec.model.v0_4.ZeroMeanUnitVarianceKwargs.axes": {"tf": 1}, "bioimageio.spec.model.v0_4.ZeroMeanUnitVarianceKwargs.mean": {"tf": 1}, "bioimageio.spec.model.v0_4.ScaleRangeKwargs.axes": {"tf": 1}, "bioimageio.spec.model.v0_4.ScaleMeanVarianceKwargs.axes": {"tf": 1}}, "df": 5}}}}}, "pipeline": ["trimmer"], "_isPrebuiltIndex": true}; // mirrored in build-search-index.js (part 1) // Also split on html tags. this is a cheap heuristic, but good enough. diff --git a/user_docs/application_descr_latest.md b/user_docs/application_descr_latest.md index 2b58b10c7..9725e73b8 100644 --- a/user_docs/application_descr_latest.md +++ b/user_docs/application_descr_latest.md @@ -181,10 +181,10 @@ The supported image formats are: ('.gif', '.jpeg', '.jpg', '.png', '.svg') Sequence of Union of - _internal.url.HttpUrl -- Path (PathType(path_type='file'); Predicate(func=)) +- Path (PathType(path_type='file'); Predicate(func=)) - _internal.io.RelativeFilePath -(WithSuffix(suffix=('.gif', '.jpeg', '.jpg', '.png', '.svg'), case_sensitive=False); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) +(WithSuffix(suffix=('.gif', '.jpeg', '.jpg', '.png', '.svg'), case_sensitive=False); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) @@ -197,11 +197,11 @@ Sequence of Union of Optional[Union of -- Path (PathType(path_type='file'); Predicate(func=)) +- Path (PathType(path_type='file'); Predicate(func=)) - _internal.io.RelativeFilePath - _internal.url.HttpUrl -(AfterValidator(_validate_md_suffix); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none'))] +(AfterValidator(_validate_md_suffix); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none'))] @@ -225,7 +225,7 @@ Union of - _internal.url.HttpUrl - Url (max_length=2083 allowed_schemes=['http', 'https']) - (AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) + (AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) - str (Len(min_length=1, max_length=2)) - None @@ -308,7 +308,7 @@ Optional[Union of - _internal.url.HttpUrl - Url (max_length=2083 allowed_schemes=['http', 'https']) -(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none'))] +(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none'))] diff --git a/user_docs/application_descr_v0-2-4.md b/user_docs/application_descr_v0-2-4.md index 907050a66..5fc064794 100644 --- a/user_docs/application_descr_v0-2-4.md +++ b/user_docs/application_descr_v0-2-4.md @@ -54,7 +54,7 @@ Sequence of Union of - _internal.url.HttpUrl - Url (max_length=2083 allowed_schemes=['http', 'https']) -(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) +(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) @@ -171,10 +171,10 @@ The supported image formats are: ('.gif', '.jpeg', '.jpg', '.png', '.svg') Sequence of Union of - _internal.url.HttpUrl -- Path (PathType(path_type='file'); Predicate(func=)) +- Path (PathType(path_type='file'); Predicate(func=)) - _internal.io.RelativeFilePath -(WithSuffix(suffix=('.gif', '.jpeg', '.jpg', '.png', '.svg'), case_sensitive=False); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) +(WithSuffix(suffix=('.gif', '.jpeg', '.jpg', '.png', '.svg'), case_sensitive=False); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) @@ -192,7 +192,7 @@ Optional[Union of - _internal.url.HttpUrl - Url (max_length=2083 allowed_schemes=['http', 'https']) -(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none'))] +(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none'))] @@ -221,7 +221,7 @@ Union of - _internal.url.HttpUrl - Url (max_length=2083 allowed_schemes=['http', 'https']) - (AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) + (AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) - str (Len(min_length=1, max_length=2)) - None @@ -322,7 +322,7 @@ Optional[Union of - _internal.url.HttpUrl - Url (max_length=2083 allowed_schemes=['http', 'https']) -(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none'))] +(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none'))] diff --git a/user_docs/application_descr_v0-2.md b/user_docs/application_descr_v0-2.md index 907050a66..5fc064794 100644 --- a/user_docs/application_descr_v0-2.md +++ b/user_docs/application_descr_v0-2.md @@ -54,7 +54,7 @@ Sequence of Union of - _internal.url.HttpUrl - Url (max_length=2083 allowed_schemes=['http', 'https']) -(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) +(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) @@ -171,10 +171,10 @@ The supported image formats are: ('.gif', '.jpeg', '.jpg', '.png', '.svg') Sequence of Union of - _internal.url.HttpUrl -- Path (PathType(path_type='file'); Predicate(func=)) +- Path (PathType(path_type='file'); Predicate(func=)) - _internal.io.RelativeFilePath -(WithSuffix(suffix=('.gif', '.jpeg', '.jpg', '.png', '.svg'), case_sensitive=False); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) +(WithSuffix(suffix=('.gif', '.jpeg', '.jpg', '.png', '.svg'), case_sensitive=False); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) @@ -192,7 +192,7 @@ Optional[Union of - _internal.url.HttpUrl - Url (max_length=2083 allowed_schemes=['http', 'https']) -(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none'))] +(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none'))] @@ -221,7 +221,7 @@ Union of - _internal.url.HttpUrl - Url (max_length=2083 allowed_schemes=['http', 'https']) - (AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) + (AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) - str (Len(min_length=1, max_length=2)) - None @@ -322,7 +322,7 @@ Optional[Union of - _internal.url.HttpUrl - Url (max_length=2083 allowed_schemes=['http', 'https']) -(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none'))] +(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none'))] diff --git a/user_docs/application_descr_v0-3-0.md b/user_docs/application_descr_v0-3-0.md index 2b58b10c7..9725e73b8 100644 --- a/user_docs/application_descr_v0-3-0.md +++ b/user_docs/application_descr_v0-3-0.md @@ -181,10 +181,10 @@ The supported image formats are: ('.gif', '.jpeg', '.jpg', '.png', '.svg') Sequence of Union of - _internal.url.HttpUrl -- Path (PathType(path_type='file'); Predicate(func=)) +- Path (PathType(path_type='file'); Predicate(func=)) - _internal.io.RelativeFilePath -(WithSuffix(suffix=('.gif', '.jpeg', '.jpg', '.png', '.svg'), case_sensitive=False); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) +(WithSuffix(suffix=('.gif', '.jpeg', '.jpg', '.png', '.svg'), case_sensitive=False); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) @@ -197,11 +197,11 @@ Sequence of Union of Optional[Union of -- Path (PathType(path_type='file'); Predicate(func=)) +- Path (PathType(path_type='file'); Predicate(func=)) - _internal.io.RelativeFilePath - _internal.url.HttpUrl -(AfterValidator(_validate_md_suffix); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none'))] +(AfterValidator(_validate_md_suffix); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none'))] @@ -225,7 +225,7 @@ Union of - _internal.url.HttpUrl - Url (max_length=2083 allowed_schemes=['http', 'https']) - (AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) + (AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) - str (Len(min_length=1, max_length=2)) - None @@ -308,7 +308,7 @@ Optional[Union of - _internal.url.HttpUrl - Url (max_length=2083 allowed_schemes=['http', 'https']) -(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none'))] +(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none'))] diff --git a/user_docs/application_descr_v0-3.md b/user_docs/application_descr_v0-3.md index 2b58b10c7..9725e73b8 100644 --- a/user_docs/application_descr_v0-3.md +++ b/user_docs/application_descr_v0-3.md @@ -181,10 +181,10 @@ The supported image formats are: ('.gif', '.jpeg', '.jpg', '.png', '.svg') Sequence of Union of - _internal.url.HttpUrl -- Path (PathType(path_type='file'); Predicate(func=)) +- Path (PathType(path_type='file'); Predicate(func=)) - _internal.io.RelativeFilePath -(WithSuffix(suffix=('.gif', '.jpeg', '.jpg', '.png', '.svg'), case_sensitive=False); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) +(WithSuffix(suffix=('.gif', '.jpeg', '.jpg', '.png', '.svg'), case_sensitive=False); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) @@ -197,11 +197,11 @@ Sequence of Union of Optional[Union of -- Path (PathType(path_type='file'); Predicate(func=)) +- Path (PathType(path_type='file'); Predicate(func=)) - _internal.io.RelativeFilePath - _internal.url.HttpUrl -(AfterValidator(_validate_md_suffix); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none'))] +(AfterValidator(_validate_md_suffix); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none'))] @@ -225,7 +225,7 @@ Union of - _internal.url.HttpUrl - Url (max_length=2083 allowed_schemes=['http', 'https']) - (AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) + (AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) - str (Len(min_length=1, max_length=2)) - None @@ -308,7 +308,7 @@ Optional[Union of - _internal.url.HttpUrl - Url (max_length=2083 allowed_schemes=['http', 'https']) -(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none'))] +(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none'))] diff --git a/user_docs/collection_descr_latest.md b/user_docs/collection_descr_latest.md index a528566a3..8a3628a78 100644 --- a/user_docs/collection_descr_latest.md +++ b/user_docs/collection_descr_latest.md @@ -218,10 +218,10 @@ The supported image formats are: ('.gif', '.jpeg', '.jpg', '.png', '.svg') Sequence of Union of - _internal.url.HttpUrl -- Path (PathType(path_type='file'); Predicate(func=)) +- Path (PathType(path_type='file'); Predicate(func=)) - _internal.io.RelativeFilePath -(WithSuffix(suffix=('.gif', '.jpeg', '.jpg', '.png', '.svg'), case_sensitive=False); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) +(WithSuffix(suffix=('.gif', '.jpeg', '.jpg', '.png', '.svg'), case_sensitive=False); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) @@ -234,11 +234,11 @@ Sequence of Union of Optional[Union of -- Path (PathType(path_type='file'); Predicate(func=)) +- Path (PathType(path_type='file'); Predicate(func=)) - _internal.io.RelativeFilePath - _internal.url.HttpUrl -(AfterValidator(_validate_md_suffix); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none'))] +(AfterValidator(_validate_md_suffix); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none'))] @@ -262,7 +262,7 @@ Union of - _internal.url.HttpUrl - Url (max_length=2083 allowed_schemes=['http', 'https']) - (AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) + (AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) - str (Len(min_length=1, max_length=2)) - None diff --git a/user_docs/collection_descr_v0-2-4.md b/user_docs/collection_descr_v0-2-4.md index 64fac3426..6eddbcff8 100644 --- a/user_docs/collection_descr_v0-2-4.md +++ b/user_docs/collection_descr_v0-2-4.md @@ -90,7 +90,7 @@ Sequence of Union of - _internal.url.HttpUrl - Url (max_length=2083 allowed_schemes=['http', 'https']) -(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) +(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) @@ -207,10 +207,10 @@ The supported image formats are: ('.gif', '.jpeg', '.jpg', '.png', '.svg') Sequence of Union of - _internal.url.HttpUrl -- Path (PathType(path_type='file'); Predicate(func=)) +- Path (PathType(path_type='file'); Predicate(func=)) - _internal.io.RelativeFilePath -(WithSuffix(suffix=('.gif', '.jpeg', '.jpg', '.png', '.svg'), case_sensitive=False); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) +(WithSuffix(suffix=('.gif', '.jpeg', '.jpg', '.png', '.svg'), case_sensitive=False); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) @@ -228,7 +228,7 @@ Optional[Union of - _internal.url.HttpUrl - Url (max_length=2083 allowed_schemes=['http', 'https']) -(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none'))] +(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none'))] @@ -257,7 +257,7 @@ Union of - _internal.url.HttpUrl - Url (max_length=2083 allowed_schemes=['http', 'https']) - (AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) + (AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) - str (Len(min_length=1, max_length=2)) - None diff --git a/user_docs/collection_descr_v0-2.md b/user_docs/collection_descr_v0-2.md index 64fac3426..6eddbcff8 100644 --- a/user_docs/collection_descr_v0-2.md +++ b/user_docs/collection_descr_v0-2.md @@ -90,7 +90,7 @@ Sequence of Union of - _internal.url.HttpUrl - Url (max_length=2083 allowed_schemes=['http', 'https']) -(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) +(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) @@ -207,10 +207,10 @@ The supported image formats are: ('.gif', '.jpeg', '.jpg', '.png', '.svg') Sequence of Union of - _internal.url.HttpUrl -- Path (PathType(path_type='file'); Predicate(func=)) +- Path (PathType(path_type='file'); Predicate(func=)) - _internal.io.RelativeFilePath -(WithSuffix(suffix=('.gif', '.jpeg', '.jpg', '.png', '.svg'), case_sensitive=False); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) +(WithSuffix(suffix=('.gif', '.jpeg', '.jpg', '.png', '.svg'), case_sensitive=False); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) @@ -228,7 +228,7 @@ Optional[Union of - _internal.url.HttpUrl - Url (max_length=2083 allowed_schemes=['http', 'https']) -(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none'))] +(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none'))] @@ -257,7 +257,7 @@ Union of - _internal.url.HttpUrl - Url (max_length=2083 allowed_schemes=['http', 'https']) - (AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) + (AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) - str (Len(min_length=1, max_length=2)) - None diff --git a/user_docs/collection_descr_v0-3-0.md b/user_docs/collection_descr_v0-3-0.md index a528566a3..8a3628a78 100644 --- a/user_docs/collection_descr_v0-3-0.md +++ b/user_docs/collection_descr_v0-3-0.md @@ -218,10 +218,10 @@ The supported image formats are: ('.gif', '.jpeg', '.jpg', '.png', '.svg') Sequence of Union of - _internal.url.HttpUrl -- Path (PathType(path_type='file'); Predicate(func=)) +- Path (PathType(path_type='file'); Predicate(func=)) - _internal.io.RelativeFilePath -(WithSuffix(suffix=('.gif', '.jpeg', '.jpg', '.png', '.svg'), case_sensitive=False); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) +(WithSuffix(suffix=('.gif', '.jpeg', '.jpg', '.png', '.svg'), case_sensitive=False); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) @@ -234,11 +234,11 @@ Sequence of Union of Optional[Union of -- Path (PathType(path_type='file'); Predicate(func=)) +- Path (PathType(path_type='file'); Predicate(func=)) - _internal.io.RelativeFilePath - _internal.url.HttpUrl -(AfterValidator(_validate_md_suffix); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none'))] +(AfterValidator(_validate_md_suffix); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none'))] @@ -262,7 +262,7 @@ Union of - _internal.url.HttpUrl - Url (max_length=2083 allowed_schemes=['http', 'https']) - (AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) + (AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) - str (Len(min_length=1, max_length=2)) - None diff --git a/user_docs/collection_descr_v0-3.md b/user_docs/collection_descr_v0-3.md index a528566a3..8a3628a78 100644 --- a/user_docs/collection_descr_v0-3.md +++ b/user_docs/collection_descr_v0-3.md @@ -218,10 +218,10 @@ The supported image formats are: ('.gif', '.jpeg', '.jpg', '.png', '.svg') Sequence of Union of - _internal.url.HttpUrl -- Path (PathType(path_type='file'); Predicate(func=)) +- Path (PathType(path_type='file'); Predicate(func=)) - _internal.io.RelativeFilePath -(WithSuffix(suffix=('.gif', '.jpeg', '.jpg', '.png', '.svg'), case_sensitive=False); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) +(WithSuffix(suffix=('.gif', '.jpeg', '.jpg', '.png', '.svg'), case_sensitive=False); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) @@ -234,11 +234,11 @@ Sequence of Union of Optional[Union of -- Path (PathType(path_type='file'); Predicate(func=)) +- Path (PathType(path_type='file'); Predicate(func=)) - _internal.io.RelativeFilePath - _internal.url.HttpUrl -(AfterValidator(_validate_md_suffix); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none'))] +(AfterValidator(_validate_md_suffix); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none'))] @@ -262,7 +262,7 @@ Union of - _internal.url.HttpUrl - Url (max_length=2083 allowed_schemes=['http', 'https']) - (AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) + (AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) - str (Len(min_length=1, max_length=2)) - None diff --git a/user_docs/dataset_descr_latest.md b/user_docs/dataset_descr_latest.md index e3aedc2f5..5b39f2e13 100644 --- a/user_docs/dataset_descr_latest.md +++ b/user_docs/dataset_descr_latest.md @@ -183,10 +183,10 @@ The supported image formats are: ('.gif', '.jpeg', '.jpg', '.png', '.svg') Sequence of Union of - _internal.url.HttpUrl -- Path (PathType(path_type='file'); Predicate(func=)) +- Path (PathType(path_type='file'); Predicate(func=)) - _internal.io.RelativeFilePath -(WithSuffix(suffix=('.gif', '.jpeg', '.jpg', '.png', '.svg'), case_sensitive=False); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) +(WithSuffix(suffix=('.gif', '.jpeg', '.jpg', '.png', '.svg'), case_sensitive=False); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) @@ -199,11 +199,11 @@ Sequence of Union of Optional[Union of -- Path (PathType(path_type='file'); Predicate(func=)) +- Path (PathType(path_type='file'); Predicate(func=)) - _internal.io.RelativeFilePath - _internal.url.HttpUrl -(AfterValidator(_validate_md_suffix); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none'))] +(AfterValidator(_validate_md_suffix); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none'))] @@ -227,7 +227,7 @@ Union of - _internal.url.HttpUrl - Url (max_length=2083 allowed_schemes=['http', 'https']) - (AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) + (AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) - str (Len(min_length=1, max_length=2)) - None diff --git a/user_docs/dataset_descr_v0-2-4.md b/user_docs/dataset_descr_v0-2-4.md index d3b2151d6..0093146b5 100644 --- a/user_docs/dataset_descr_v0-2-4.md +++ b/user_docs/dataset_descr_v0-2-4.md @@ -56,7 +56,7 @@ Sequence of Union of - _internal.url.HttpUrl - Url (max_length=2083 allowed_schemes=['http', 'https']) -(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) +(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) @@ -173,10 +173,10 @@ The supported image formats are: ('.gif', '.jpeg', '.jpg', '.png', '.svg') Sequence of Union of - _internal.url.HttpUrl -- Path (PathType(path_type='file'); Predicate(func=)) +- Path (PathType(path_type='file'); Predicate(func=)) - _internal.io.RelativeFilePath -(WithSuffix(suffix=('.gif', '.jpeg', '.jpg', '.png', '.svg'), case_sensitive=False); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) +(WithSuffix(suffix=('.gif', '.jpeg', '.jpg', '.png', '.svg'), case_sensitive=False); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) @@ -194,7 +194,7 @@ Optional[Union of - _internal.url.HttpUrl - Url (max_length=2083 allowed_schemes=['http', 'https']) -(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none'))] +(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none'))] @@ -223,7 +223,7 @@ Union of - _internal.url.HttpUrl - Url (max_length=2083 allowed_schemes=['http', 'https']) - (AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) + (AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) - str (Len(min_length=1, max_length=2)) - None diff --git a/user_docs/dataset_descr_v0-2.md b/user_docs/dataset_descr_v0-2.md index d3b2151d6..0093146b5 100644 --- a/user_docs/dataset_descr_v0-2.md +++ b/user_docs/dataset_descr_v0-2.md @@ -56,7 +56,7 @@ Sequence of Union of - _internal.url.HttpUrl - Url (max_length=2083 allowed_schemes=['http', 'https']) -(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) +(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) @@ -173,10 +173,10 @@ The supported image formats are: ('.gif', '.jpeg', '.jpg', '.png', '.svg') Sequence of Union of - _internal.url.HttpUrl -- Path (PathType(path_type='file'); Predicate(func=)) +- Path (PathType(path_type='file'); Predicate(func=)) - _internal.io.RelativeFilePath -(WithSuffix(suffix=('.gif', '.jpeg', '.jpg', '.png', '.svg'), case_sensitive=False); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) +(WithSuffix(suffix=('.gif', '.jpeg', '.jpg', '.png', '.svg'), case_sensitive=False); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) @@ -194,7 +194,7 @@ Optional[Union of - _internal.url.HttpUrl - Url (max_length=2083 allowed_schemes=['http', 'https']) -(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none'))] +(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none'))] @@ -223,7 +223,7 @@ Union of - _internal.url.HttpUrl - Url (max_length=2083 allowed_schemes=['http', 'https']) - (AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) + (AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) - str (Len(min_length=1, max_length=2)) - None diff --git a/user_docs/dataset_descr_v0-3-0.md b/user_docs/dataset_descr_v0-3-0.md index e3aedc2f5..5b39f2e13 100644 --- a/user_docs/dataset_descr_v0-3-0.md +++ b/user_docs/dataset_descr_v0-3-0.md @@ -183,10 +183,10 @@ The supported image formats are: ('.gif', '.jpeg', '.jpg', '.png', '.svg') Sequence of Union of - _internal.url.HttpUrl -- Path (PathType(path_type='file'); Predicate(func=)) +- Path (PathType(path_type='file'); Predicate(func=)) - _internal.io.RelativeFilePath -(WithSuffix(suffix=('.gif', '.jpeg', '.jpg', '.png', '.svg'), case_sensitive=False); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) +(WithSuffix(suffix=('.gif', '.jpeg', '.jpg', '.png', '.svg'), case_sensitive=False); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) @@ -199,11 +199,11 @@ Sequence of Union of Optional[Union of -- Path (PathType(path_type='file'); Predicate(func=)) +- Path (PathType(path_type='file'); Predicate(func=)) - _internal.io.RelativeFilePath - _internal.url.HttpUrl -(AfterValidator(_validate_md_suffix); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none'))] +(AfterValidator(_validate_md_suffix); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none'))] @@ -227,7 +227,7 @@ Union of - _internal.url.HttpUrl - Url (max_length=2083 allowed_schemes=['http', 'https']) - (AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) + (AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) - str (Len(min_length=1, max_length=2)) - None diff --git a/user_docs/dataset_descr_v0-3.md b/user_docs/dataset_descr_v0-3.md index e3aedc2f5..5b39f2e13 100644 --- a/user_docs/dataset_descr_v0-3.md +++ b/user_docs/dataset_descr_v0-3.md @@ -183,10 +183,10 @@ The supported image formats are: ('.gif', '.jpeg', '.jpg', '.png', '.svg') Sequence of Union of - _internal.url.HttpUrl -- Path (PathType(path_type='file'); Predicate(func=)) +- Path (PathType(path_type='file'); Predicate(func=)) - _internal.io.RelativeFilePath -(WithSuffix(suffix=('.gif', '.jpeg', '.jpg', '.png', '.svg'), case_sensitive=False); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) +(WithSuffix(suffix=('.gif', '.jpeg', '.jpg', '.png', '.svg'), case_sensitive=False); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) @@ -199,11 +199,11 @@ Sequence of Union of Optional[Union of -- Path (PathType(path_type='file'); Predicate(func=)) +- Path (PathType(path_type='file'); Predicate(func=)) - _internal.io.RelativeFilePath - _internal.url.HttpUrl -(AfterValidator(_validate_md_suffix); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none'))] +(AfterValidator(_validate_md_suffix); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none'))] @@ -227,7 +227,7 @@ Union of - _internal.url.HttpUrl - Url (max_length=2083 allowed_schemes=['http', 'https']) - (AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) + (AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) - str (Len(min_length=1, max_length=2)) - None diff --git a/user_docs/generic_descr_latest.md b/user_docs/generic_descr_latest.md index 11b31a349..e9d088218 100644 --- a/user_docs/generic_descr_latest.md +++ b/user_docs/generic_descr_latest.md @@ -186,10 +186,10 @@ The supported image formats are: ('.gif', '.jpeg', '.jpg', '.png', '.svg') Sequence of Union of - _internal.url.HttpUrl -- Path (PathType(path_type='file'); Predicate(func=)) +- Path (PathType(path_type='file'); Predicate(func=)) - _internal.io.RelativeFilePath -(WithSuffix(suffix=('.gif', '.jpeg', '.jpg', '.png', '.svg'), case_sensitive=False); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) +(WithSuffix(suffix=('.gif', '.jpeg', '.jpg', '.png', '.svg'), case_sensitive=False); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) @@ -202,11 +202,11 @@ Sequence of Union of Optional[Union of -- Path (PathType(path_type='file'); Predicate(func=)) +- Path (PathType(path_type='file'); Predicate(func=)) - _internal.io.RelativeFilePath - _internal.url.HttpUrl -(AfterValidator(_validate_md_suffix); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none'))] +(AfterValidator(_validate_md_suffix); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none'))] @@ -230,7 +230,7 @@ Union of - _internal.url.HttpUrl - Url (max_length=2083 allowed_schemes=['http', 'https']) - (AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) + (AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) - str (Len(min_length=1, max_length=2)) - None diff --git a/user_docs/generic_descr_v0-2-4.md b/user_docs/generic_descr_v0-2-4.md index a29ab637a..4cd5d5b0e 100644 --- a/user_docs/generic_descr_v0-2-4.md +++ b/user_docs/generic_descr_v0-2-4.md @@ -59,7 +59,7 @@ Sequence of Union of - _internal.url.HttpUrl - Url (max_length=2083 allowed_schemes=['http', 'https']) -(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) +(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) @@ -176,10 +176,10 @@ The supported image formats are: ('.gif', '.jpeg', '.jpg', '.png', '.svg') Sequence of Union of - _internal.url.HttpUrl -- Path (PathType(path_type='file'); Predicate(func=)) +- Path (PathType(path_type='file'); Predicate(func=)) - _internal.io.RelativeFilePath -(WithSuffix(suffix=('.gif', '.jpeg', '.jpg', '.png', '.svg'), case_sensitive=False); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) +(WithSuffix(suffix=('.gif', '.jpeg', '.jpg', '.png', '.svg'), case_sensitive=False); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) @@ -197,7 +197,7 @@ Optional[Union of - _internal.url.HttpUrl - Url (max_length=2083 allowed_schemes=['http', 'https']) -(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none'))] +(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none'))] @@ -226,7 +226,7 @@ Union of - _internal.url.HttpUrl - Url (max_length=2083 allowed_schemes=['http', 'https']) - (AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) + (AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) - str (Len(min_length=1, max_length=2)) - None diff --git a/user_docs/generic_descr_v0-2.md b/user_docs/generic_descr_v0-2.md index a29ab637a..4cd5d5b0e 100644 --- a/user_docs/generic_descr_v0-2.md +++ b/user_docs/generic_descr_v0-2.md @@ -59,7 +59,7 @@ Sequence of Union of - _internal.url.HttpUrl - Url (max_length=2083 allowed_schemes=['http', 'https']) -(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) +(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) @@ -176,10 +176,10 @@ The supported image formats are: ('.gif', '.jpeg', '.jpg', '.png', '.svg') Sequence of Union of - _internal.url.HttpUrl -- Path (PathType(path_type='file'); Predicate(func=)) +- Path (PathType(path_type='file'); Predicate(func=)) - _internal.io.RelativeFilePath -(WithSuffix(suffix=('.gif', '.jpeg', '.jpg', '.png', '.svg'), case_sensitive=False); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) +(WithSuffix(suffix=('.gif', '.jpeg', '.jpg', '.png', '.svg'), case_sensitive=False); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) @@ -197,7 +197,7 @@ Optional[Union of - _internal.url.HttpUrl - Url (max_length=2083 allowed_schemes=['http', 'https']) -(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none'))] +(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none'))] @@ -226,7 +226,7 @@ Union of - _internal.url.HttpUrl - Url (max_length=2083 allowed_schemes=['http', 'https']) - (AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) + (AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) - str (Len(min_length=1, max_length=2)) - None diff --git a/user_docs/generic_descr_v0-3-0.md b/user_docs/generic_descr_v0-3-0.md index 11b31a349..e9d088218 100644 --- a/user_docs/generic_descr_v0-3-0.md +++ b/user_docs/generic_descr_v0-3-0.md @@ -186,10 +186,10 @@ The supported image formats are: ('.gif', '.jpeg', '.jpg', '.png', '.svg') Sequence of Union of - _internal.url.HttpUrl -- Path (PathType(path_type='file'); Predicate(func=)) +- Path (PathType(path_type='file'); Predicate(func=)) - _internal.io.RelativeFilePath -(WithSuffix(suffix=('.gif', '.jpeg', '.jpg', '.png', '.svg'), case_sensitive=False); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) +(WithSuffix(suffix=('.gif', '.jpeg', '.jpg', '.png', '.svg'), case_sensitive=False); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) @@ -202,11 +202,11 @@ Sequence of Union of Optional[Union of -- Path (PathType(path_type='file'); Predicate(func=)) +- Path (PathType(path_type='file'); Predicate(func=)) - _internal.io.RelativeFilePath - _internal.url.HttpUrl -(AfterValidator(_validate_md_suffix); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none'))] +(AfterValidator(_validate_md_suffix); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none'))] @@ -230,7 +230,7 @@ Union of - _internal.url.HttpUrl - Url (max_length=2083 allowed_schemes=['http', 'https']) - (AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) + (AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) - str (Len(min_length=1, max_length=2)) - None diff --git a/user_docs/generic_descr_v0-3.md b/user_docs/generic_descr_v0-3.md index 11b31a349..e9d088218 100644 --- a/user_docs/generic_descr_v0-3.md +++ b/user_docs/generic_descr_v0-3.md @@ -186,10 +186,10 @@ The supported image formats are: ('.gif', '.jpeg', '.jpg', '.png', '.svg') Sequence of Union of - _internal.url.HttpUrl -- Path (PathType(path_type='file'); Predicate(func=)) +- Path (PathType(path_type='file'); Predicate(func=)) - _internal.io.RelativeFilePath -(WithSuffix(suffix=('.gif', '.jpeg', '.jpg', '.png', '.svg'), case_sensitive=False); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) +(WithSuffix(suffix=('.gif', '.jpeg', '.jpg', '.png', '.svg'), case_sensitive=False); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) @@ -202,11 +202,11 @@ Sequence of Union of Optional[Union of -- Path (PathType(path_type='file'); Predicate(func=)) +- Path (PathType(path_type='file'); Predicate(func=)) - _internal.io.RelativeFilePath - _internal.url.HttpUrl -(AfterValidator(_validate_md_suffix); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none'))] +(AfterValidator(_validate_md_suffix); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none'))] @@ -230,7 +230,7 @@ Union of - _internal.url.HttpUrl - Url (max_length=2083 allowed_schemes=['http', 'https']) - (AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) + (AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) - str (Len(min_length=1, max_length=2)) - None diff --git a/user_docs/model_descr_latest.md b/user_docs/model_descr_latest.md index f88ed7ef2..8834a23df 100644 --- a/user_docs/model_descr_latest.md +++ b/user_docs/model_descr_latest.md @@ -103,7 +103,7 @@ Optional[_internal.validated_string.ValidatedString[Annotated[str, StringConstra Union of -- Path (PathType(path_type='file'); Predicate(func=)) +- Path (PathType(path_type='file'); Predicate(func=)) - _internal.io.RelativeFilePath - _internal.url.HttpUrl @@ -802,7 +802,7 @@ Sequence of Union of [*Example:*](#inputspreprocessingikwargsaxis) 'channel' -Optional[AxisId (Predicate(func= at 0x7f574ceb51c0>))] +Optional[AxisId (Predicate(func= at 0x7f4d231b91c0>))] ##### `inputs.preprocessing.i.kwargs.gain` Union ≝ `1.0` @@ -859,7 +859,7 @@ Union[float (Ge(ge=1e-06)), Sequence[float (Ge(ge=1e-06))] (MinLen(min_length=1) [*Examples:*](#inputspreprocessingikwargsaxis) ['channel', 'index'] -Optional[AxisId (Predicate(func= at 0x7f574ceb51c0>))] +Optional[AxisId (Predicate(func= at 0x7f4d231b91c0>))] @@ -1634,7 +1634,7 @@ Sequence of Union of [*Example:*](#outputspostprocessingikwargsaxis) 'channel' -Optional[AxisId (Predicate(func= at 0x7f574ceb51c0>))] +Optional[AxisId (Predicate(func= at 0x7f4d231b91c0>))] ##### `outputs.postprocessing.i.kwargs.gain` Union ≝ `1.0` @@ -1691,7 +1691,7 @@ Union[float (Ge(ge=1e-06)), Sequence[float (Ge(ge=1e-06))] (MinLen(min_length=1) [*Examples:*](#outputspostprocessingikwargsaxis) ['channel', 'index'] -Optional[AxisId (Predicate(func= at 0x7f574ceb51c0>))] +Optional[AxisId (Predicate(func= at 0x7f4d231b91c0>))] @@ -2497,10 +2497,10 @@ The supported image formats are: ('.gif', '.jpeg', '.jpg', '.png', '.svg') Sequence of Union of - _internal.url.HttpUrl -- Path (PathType(path_type='file'); Predicate(func=)) +- Path (PathType(path_type='file'); Predicate(func=)) - _internal.io.RelativeFilePath -(WithSuffix(suffix=('.gif', '.jpeg', '.jpg', '.png', '.svg'), case_sensitive=False); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) +(WithSuffix(suffix=('.gif', '.jpeg', '.jpg', '.png', '.svg'), case_sensitive=False); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) @@ -2524,7 +2524,7 @@ Union of - _internal.url.HttpUrl - Url (max_length=2083 allowed_schemes=['http', 'https']) - (AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) + (AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) - str (Len(min_length=1, max_length=2)) - None @@ -2675,7 +2675,7 @@ _internal.validated_string.ValidatedString[Annotated[str, MinLen, Annotated[Type -## `timestamp` _internal.types.Datetime ≝ `root=datetime.datetime(2024, 3, 20, 20, 44, 1, 674164)` +## `timestamp` _internal.types.Datetime ≝ `root=datetime.datetime(2024, 3, 20, 20, 44, 46, 233500)` @@ -2721,10 +2721,10 @@ The supported image formats are: ('.gif', '.jpeg', '.jpg', '.png', '.svg') Sequence of Union of - _internal.url.HttpUrl -- Path (PathType(path_type='file'); Predicate(func=)) +- Path (PathType(path_type='file'); Predicate(func=)) - _internal.io.RelativeFilePath -(WithSuffix(suffix=('.gif', '.jpeg', '.jpg', '.png', '.svg'), case_sensitive=False); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) +(WithSuffix(suffix=('.gif', '.jpeg', '.jpg', '.png', '.svg'), case_sensitive=False); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) @@ -2864,7 +2864,7 @@ Union of - _internal.url.HttpUrl - Url (max_length=2083 allowed_schemes=['http', 'https']) - (AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) + (AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) - str (Len(min_length=1, max_length=2)) - None @@ -2969,11 +2969,11 @@ Optional[_internal.version_type.Version] Optional[Union of -- Path (PathType(path_type='file'); Predicate(func=)) +- Path (PathType(path_type='file'); Predicate(func=)) - _internal.io.RelativeFilePath - _internal.url.HttpUrl -(AfterValidator(_validate_md_suffix); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none'))] +(AfterValidator(_validate_md_suffix); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none'))] diff --git a/user_docs/model_descr_v0-4-10.md b/user_docs/model_descr_v0-4-10.md index 5fc9925db..9895296e7 100644 --- a/user_docs/model_descr_v0-4-10.md +++ b/user_docs/model_descr_v0-4-10.md @@ -716,7 +716,7 @@ Sequence of Union of - _internal.url.HttpUrl - Url (max_length=2083 allowed_schemes=['http', 'https']) -(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none'); WithSuffix(suffix='.npy', case_sensitive=True)) +(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none'); WithSuffix(suffix='.npy', case_sensitive=True)) @@ -733,7 +733,7 @@ Sequence of Union of - _internal.url.HttpUrl - Url (max_length=2083 allowed_schemes=['http', 'https']) -(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none'); WithSuffix(suffix='.npy', case_sensitive=True)) +(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none'); WithSuffix(suffix='.npy', case_sensitive=True)) @@ -803,7 +803,7 @@ Sequence of Union of - _internal.url.HttpUrl - Url (max_length=2083 allowed_schemes=['http', 'https']) -(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) +(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) @@ -920,7 +920,7 @@ Sequence of Union of - _internal.url.HttpUrl - Url (max_length=2083 allowed_schemes=['http', 'https']) -(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) +(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) @@ -1036,7 +1036,7 @@ Sequence of Union of - _internal.url.HttpUrl - Url (max_length=2083 allowed_schemes=['http', 'https']) -(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) +(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) @@ -1174,7 +1174,7 @@ Sequence of Union of - _internal.url.HttpUrl - Url (max_length=2083 allowed_schemes=['http', 'https']) -(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) +(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) @@ -1291,7 +1291,7 @@ Sequence of Union of - _internal.url.HttpUrl - Url (max_length=2083 allowed_schemes=['http', 'https']) -(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) +(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) @@ -1408,7 +1408,7 @@ Sequence of Union of - _internal.url.HttpUrl - Url (max_length=2083 allowed_schemes=['http', 'https']) -(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) +(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) @@ -1497,7 +1497,7 @@ Sequence of Union of - _internal.url.HttpUrl - Url (max_length=2083 allowed_schemes=['http', 'https']) -(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) +(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) @@ -1547,10 +1547,10 @@ The supported image formats are: ('.gif', '.jpeg', '.jpg', '.png', '.svg') Sequence of Union of - _internal.url.HttpUrl -- Path (PathType(path_type='file'); Predicate(func=)) +- Path (PathType(path_type='file'); Predicate(func=)) - _internal.io.RelativeFilePath -(WithSuffix(suffix=('.gif', '.jpeg', '.jpg', '.png', '.svg'), case_sensitive=False); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) +(WithSuffix(suffix=('.gif', '.jpeg', '.jpg', '.png', '.svg'), case_sensitive=False); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) @@ -1579,7 +1579,7 @@ Union of - _internal.url.HttpUrl - Url (max_length=2083 allowed_schemes=['http', 'https']) - (AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) + (AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) - str (Len(min_length=1, max_length=2)) - None @@ -1754,7 +1754,7 @@ Sequence of Union of - _internal.url.HttpUrl - Url (max_length=2083 allowed_schemes=['http', 'https']) -(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) +(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) @@ -1771,7 +1771,7 @@ Sequence of Union of - _internal.url.HttpUrl - Url (max_length=2083 allowed_schemes=['http', 'https']) -(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) +(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) @@ -1823,10 +1823,10 @@ The supported image formats are: ('.gif', '.jpeg', '.jpg', '.png', '.svg') Sequence of Union of - _internal.url.HttpUrl -- Path (PathType(path_type='file'); Predicate(func=)) +- Path (PathType(path_type='file'); Predicate(func=)) - _internal.io.RelativeFilePath -(WithSuffix(suffix=('.gif', '.jpeg', '.jpg', '.png', '.svg'), case_sensitive=False); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) +(WithSuffix(suffix=('.gif', '.jpeg', '.jpg', '.png', '.svg'), case_sensitive=False); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) @@ -1896,7 +1896,7 @@ Sequence of Union of - _internal.url.HttpUrl - Url (max_length=2083 allowed_schemes=['http', 'https']) -(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) +(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) @@ -1960,7 +1960,7 @@ Union of - _internal.url.HttpUrl - Url (max_length=2083 allowed_schemes=['http', 'https']) - (AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) + (AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) - str (Len(min_length=1, max_length=2)) - None @@ -2116,7 +2116,7 @@ Optional[Union of - _internal.url.HttpUrl - Url (max_length=2083 allowed_schemes=['http', 'https']) -(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none'))] +(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none'))] diff --git a/user_docs/model_descr_v0-4.md b/user_docs/model_descr_v0-4.md index 5fc9925db..9895296e7 100644 --- a/user_docs/model_descr_v0-4.md +++ b/user_docs/model_descr_v0-4.md @@ -716,7 +716,7 @@ Sequence of Union of - _internal.url.HttpUrl - Url (max_length=2083 allowed_schemes=['http', 'https']) -(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none'); WithSuffix(suffix='.npy', case_sensitive=True)) +(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none'); WithSuffix(suffix='.npy', case_sensitive=True)) @@ -733,7 +733,7 @@ Sequence of Union of - _internal.url.HttpUrl - Url (max_length=2083 allowed_schemes=['http', 'https']) -(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none'); WithSuffix(suffix='.npy', case_sensitive=True)) +(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none'); WithSuffix(suffix='.npy', case_sensitive=True)) @@ -803,7 +803,7 @@ Sequence of Union of - _internal.url.HttpUrl - Url (max_length=2083 allowed_schemes=['http', 'https']) -(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) +(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) @@ -920,7 +920,7 @@ Sequence of Union of - _internal.url.HttpUrl - Url (max_length=2083 allowed_schemes=['http', 'https']) -(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) +(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) @@ -1036,7 +1036,7 @@ Sequence of Union of - _internal.url.HttpUrl - Url (max_length=2083 allowed_schemes=['http', 'https']) -(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) +(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) @@ -1174,7 +1174,7 @@ Sequence of Union of - _internal.url.HttpUrl - Url (max_length=2083 allowed_schemes=['http', 'https']) -(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) +(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) @@ -1291,7 +1291,7 @@ Sequence of Union of - _internal.url.HttpUrl - Url (max_length=2083 allowed_schemes=['http', 'https']) -(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) +(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) @@ -1408,7 +1408,7 @@ Sequence of Union of - _internal.url.HttpUrl - Url (max_length=2083 allowed_schemes=['http', 'https']) -(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) +(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) @@ -1497,7 +1497,7 @@ Sequence of Union of - _internal.url.HttpUrl - Url (max_length=2083 allowed_schemes=['http', 'https']) -(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) +(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) @@ -1547,10 +1547,10 @@ The supported image formats are: ('.gif', '.jpeg', '.jpg', '.png', '.svg') Sequence of Union of - _internal.url.HttpUrl -- Path (PathType(path_type='file'); Predicate(func=)) +- Path (PathType(path_type='file'); Predicate(func=)) - _internal.io.RelativeFilePath -(WithSuffix(suffix=('.gif', '.jpeg', '.jpg', '.png', '.svg'), case_sensitive=False); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) +(WithSuffix(suffix=('.gif', '.jpeg', '.jpg', '.png', '.svg'), case_sensitive=False); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) @@ -1579,7 +1579,7 @@ Union of - _internal.url.HttpUrl - Url (max_length=2083 allowed_schemes=['http', 'https']) - (AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) + (AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) - str (Len(min_length=1, max_length=2)) - None @@ -1754,7 +1754,7 @@ Sequence of Union of - _internal.url.HttpUrl - Url (max_length=2083 allowed_schemes=['http', 'https']) -(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) +(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) @@ -1771,7 +1771,7 @@ Sequence of Union of - _internal.url.HttpUrl - Url (max_length=2083 allowed_schemes=['http', 'https']) -(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) +(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) @@ -1823,10 +1823,10 @@ The supported image formats are: ('.gif', '.jpeg', '.jpg', '.png', '.svg') Sequence of Union of - _internal.url.HttpUrl -- Path (PathType(path_type='file'); Predicate(func=)) +- Path (PathType(path_type='file'); Predicate(func=)) - _internal.io.RelativeFilePath -(WithSuffix(suffix=('.gif', '.jpeg', '.jpg', '.png', '.svg'), case_sensitive=False); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) +(WithSuffix(suffix=('.gif', '.jpeg', '.jpg', '.png', '.svg'), case_sensitive=False); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) @@ -1896,7 +1896,7 @@ Sequence of Union of - _internal.url.HttpUrl - Url (max_length=2083 allowed_schemes=['http', 'https']) -(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) +(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) @@ -1960,7 +1960,7 @@ Union of - _internal.url.HttpUrl - Url (max_length=2083 allowed_schemes=['http', 'https']) - (AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) + (AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) - str (Len(min_length=1, max_length=2)) - None @@ -2116,7 +2116,7 @@ Optional[Union of - _internal.url.HttpUrl - Url (max_length=2083 allowed_schemes=['http', 'https']) -(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none'))] +(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none'))] diff --git a/user_docs/model_descr_v0-5-0.md b/user_docs/model_descr_v0-5-0.md index f88ed7ef2..8834a23df 100644 --- a/user_docs/model_descr_v0-5-0.md +++ b/user_docs/model_descr_v0-5-0.md @@ -103,7 +103,7 @@ Optional[_internal.validated_string.ValidatedString[Annotated[str, StringConstra Union of -- Path (PathType(path_type='file'); Predicate(func=)) +- Path (PathType(path_type='file'); Predicate(func=)) - _internal.io.RelativeFilePath - _internal.url.HttpUrl @@ -802,7 +802,7 @@ Sequence of Union of [*Example:*](#inputspreprocessingikwargsaxis) 'channel' -Optional[AxisId (Predicate(func= at 0x7f574ceb51c0>))] +Optional[AxisId (Predicate(func= at 0x7f4d231b91c0>))] ##### `inputs.preprocessing.i.kwargs.gain` Union ≝ `1.0` @@ -859,7 +859,7 @@ Union[float (Ge(ge=1e-06)), Sequence[float (Ge(ge=1e-06))] (MinLen(min_length=1) [*Examples:*](#inputspreprocessingikwargsaxis) ['channel', 'index'] -Optional[AxisId (Predicate(func= at 0x7f574ceb51c0>))] +Optional[AxisId (Predicate(func= at 0x7f4d231b91c0>))] @@ -1634,7 +1634,7 @@ Sequence of Union of [*Example:*](#outputspostprocessingikwargsaxis) 'channel' -Optional[AxisId (Predicate(func= at 0x7f574ceb51c0>))] +Optional[AxisId (Predicate(func= at 0x7f4d231b91c0>))] ##### `outputs.postprocessing.i.kwargs.gain` Union ≝ `1.0` @@ -1691,7 +1691,7 @@ Union[float (Ge(ge=1e-06)), Sequence[float (Ge(ge=1e-06))] (MinLen(min_length=1) [*Examples:*](#outputspostprocessingikwargsaxis) ['channel', 'index'] -Optional[AxisId (Predicate(func= at 0x7f574ceb51c0>))] +Optional[AxisId (Predicate(func= at 0x7f4d231b91c0>))] @@ -2497,10 +2497,10 @@ The supported image formats are: ('.gif', '.jpeg', '.jpg', '.png', '.svg') Sequence of Union of - _internal.url.HttpUrl -- Path (PathType(path_type='file'); Predicate(func=)) +- Path (PathType(path_type='file'); Predicate(func=)) - _internal.io.RelativeFilePath -(WithSuffix(suffix=('.gif', '.jpeg', '.jpg', '.png', '.svg'), case_sensitive=False); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) +(WithSuffix(suffix=('.gif', '.jpeg', '.jpg', '.png', '.svg'), case_sensitive=False); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) @@ -2524,7 +2524,7 @@ Union of - _internal.url.HttpUrl - Url (max_length=2083 allowed_schemes=['http', 'https']) - (AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) + (AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) - str (Len(min_length=1, max_length=2)) - None @@ -2675,7 +2675,7 @@ _internal.validated_string.ValidatedString[Annotated[str, MinLen, Annotated[Type -## `timestamp` _internal.types.Datetime ≝ `root=datetime.datetime(2024, 3, 20, 20, 44, 1, 674164)` +## `timestamp` _internal.types.Datetime ≝ `root=datetime.datetime(2024, 3, 20, 20, 44, 46, 233500)` @@ -2721,10 +2721,10 @@ The supported image formats are: ('.gif', '.jpeg', '.jpg', '.png', '.svg') Sequence of Union of - _internal.url.HttpUrl -- Path (PathType(path_type='file'); Predicate(func=)) +- Path (PathType(path_type='file'); Predicate(func=)) - _internal.io.RelativeFilePath -(WithSuffix(suffix=('.gif', '.jpeg', '.jpg', '.png', '.svg'), case_sensitive=False); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) +(WithSuffix(suffix=('.gif', '.jpeg', '.jpg', '.png', '.svg'), case_sensitive=False); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) @@ -2864,7 +2864,7 @@ Union of - _internal.url.HttpUrl - Url (max_length=2083 allowed_schemes=['http', 'https']) - (AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) + (AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) - str (Len(min_length=1, max_length=2)) - None @@ -2969,11 +2969,11 @@ Optional[_internal.version_type.Version] Optional[Union of -- Path (PathType(path_type='file'); Predicate(func=)) +- Path (PathType(path_type='file'); Predicate(func=)) - _internal.io.RelativeFilePath - _internal.url.HttpUrl -(AfterValidator(_validate_md_suffix); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none'))] +(AfterValidator(_validate_md_suffix); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none'))] diff --git a/user_docs/model_descr_v0-5.md b/user_docs/model_descr_v0-5.md index f88ed7ef2..8834a23df 100644 --- a/user_docs/model_descr_v0-5.md +++ b/user_docs/model_descr_v0-5.md @@ -103,7 +103,7 @@ Optional[_internal.validated_string.ValidatedString[Annotated[str, StringConstra Union of -- Path (PathType(path_type='file'); Predicate(func=)) +- Path (PathType(path_type='file'); Predicate(func=)) - _internal.io.RelativeFilePath - _internal.url.HttpUrl @@ -802,7 +802,7 @@ Sequence of Union of [*Example:*](#inputspreprocessingikwargsaxis) 'channel' -Optional[AxisId (Predicate(func= at 0x7f574ceb51c0>))] +Optional[AxisId (Predicate(func= at 0x7f4d231b91c0>))] ##### `inputs.preprocessing.i.kwargs.gain` Union ≝ `1.0` @@ -859,7 +859,7 @@ Union[float (Ge(ge=1e-06)), Sequence[float (Ge(ge=1e-06))] (MinLen(min_length=1) [*Examples:*](#inputspreprocessingikwargsaxis) ['channel', 'index'] -Optional[AxisId (Predicate(func= at 0x7f574ceb51c0>))] +Optional[AxisId (Predicate(func= at 0x7f4d231b91c0>))] @@ -1634,7 +1634,7 @@ Sequence of Union of [*Example:*](#outputspostprocessingikwargsaxis) 'channel' -Optional[AxisId (Predicate(func= at 0x7f574ceb51c0>))] +Optional[AxisId (Predicate(func= at 0x7f4d231b91c0>))] ##### `outputs.postprocessing.i.kwargs.gain` Union ≝ `1.0` @@ -1691,7 +1691,7 @@ Union[float (Ge(ge=1e-06)), Sequence[float (Ge(ge=1e-06))] (MinLen(min_length=1) [*Examples:*](#outputspostprocessingikwargsaxis) ['channel', 'index'] -Optional[AxisId (Predicate(func= at 0x7f574ceb51c0>))] +Optional[AxisId (Predicate(func= at 0x7f4d231b91c0>))] @@ -2497,10 +2497,10 @@ The supported image formats are: ('.gif', '.jpeg', '.jpg', '.png', '.svg') Sequence of Union of - _internal.url.HttpUrl -- Path (PathType(path_type='file'); Predicate(func=)) +- Path (PathType(path_type='file'); Predicate(func=)) - _internal.io.RelativeFilePath -(WithSuffix(suffix=('.gif', '.jpeg', '.jpg', '.png', '.svg'), case_sensitive=False); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) +(WithSuffix(suffix=('.gif', '.jpeg', '.jpg', '.png', '.svg'), case_sensitive=False); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) @@ -2524,7 +2524,7 @@ Union of - _internal.url.HttpUrl - Url (max_length=2083 allowed_schemes=['http', 'https']) - (AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) + (AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) - str (Len(min_length=1, max_length=2)) - None @@ -2675,7 +2675,7 @@ _internal.validated_string.ValidatedString[Annotated[str, MinLen, Annotated[Type -## `timestamp` _internal.types.Datetime ≝ `root=datetime.datetime(2024, 3, 20, 20, 44, 1, 674164)` +## `timestamp` _internal.types.Datetime ≝ `root=datetime.datetime(2024, 3, 20, 20, 44, 46, 233500)` @@ -2721,10 +2721,10 @@ The supported image formats are: ('.gif', '.jpeg', '.jpg', '.png', '.svg') Sequence of Union of - _internal.url.HttpUrl -- Path (PathType(path_type='file'); Predicate(func=)) +- Path (PathType(path_type='file'); Predicate(func=)) - _internal.io.RelativeFilePath -(WithSuffix(suffix=('.gif', '.jpeg', '.jpg', '.png', '.svg'), case_sensitive=False); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) +(WithSuffix(suffix=('.gif', '.jpeg', '.jpg', '.png', '.svg'), case_sensitive=False); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) @@ -2864,7 +2864,7 @@ Union of - _internal.url.HttpUrl - Url (max_length=2083 allowed_schemes=['http', 'https']) - (AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) + (AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) - str (Len(min_length=1, max_length=2)) - None @@ -2969,11 +2969,11 @@ Optional[_internal.version_type.Version] Optional[Union of -- Path (PathType(path_type='file'); Predicate(func=)) +- Path (PathType(path_type='file'); Predicate(func=)) - _internal.io.RelativeFilePath - _internal.url.HttpUrl -(AfterValidator(_validate_md_suffix); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none'))] +(AfterValidator(_validate_md_suffix); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none'))] diff --git a/user_docs/notebook_descr_latest.md b/user_docs/notebook_descr_latest.md index 55e37e3c3..0ed3258ed 100644 --- a/user_docs/notebook_descr_latest.md +++ b/user_docs/notebook_descr_latest.md @@ -114,7 +114,7 @@ Union[_internal.license_id.LicenseId, _internal.license_id.DeprecatedLicenseId] Union of - _internal.url.HttpUrl (WithSuffix(suffix='.ipynb', case_sensitive=True)) - Path - (PathType(path_type='file'); Predicate(func=); WithSuffix(suffix='.ipynb', case_sensitive=True)) + (PathType(path_type='file'); Predicate(func=); WithSuffix(suffix='.ipynb', case_sensitive=True)) - _internal.io.RelativeFilePath (WithSuffix(suffix='.ipynb', case_sensitive=True)) @@ -197,10 +197,10 @@ The supported image formats are: ('.gif', '.jpeg', '.jpg', '.png', '.svg') Sequence of Union of - _internal.url.HttpUrl -- Path (PathType(path_type='file'); Predicate(func=)) +- Path (PathType(path_type='file'); Predicate(func=)) - _internal.io.RelativeFilePath -(WithSuffix(suffix=('.gif', '.jpeg', '.jpg', '.png', '.svg'), case_sensitive=False); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) +(WithSuffix(suffix=('.gif', '.jpeg', '.jpg', '.png', '.svg'), case_sensitive=False); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) @@ -213,11 +213,11 @@ Sequence of Union of Optional[Union of -- Path (PathType(path_type='file'); Predicate(func=)) +- Path (PathType(path_type='file'); Predicate(func=)) - _internal.io.RelativeFilePath - _internal.url.HttpUrl -(AfterValidator(_validate_md_suffix); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none'))] +(AfterValidator(_validate_md_suffix); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none'))] @@ -241,7 +241,7 @@ Union of - _internal.url.HttpUrl - Url (max_length=2083 allowed_schemes=['http', 'https']) - (AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) + (AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) - str (Len(min_length=1, max_length=2)) - None diff --git a/user_docs/notebook_descr_v0-2-4.md b/user_docs/notebook_descr_v0-2-4.md index 0de08fc1a..25960883d 100644 --- a/user_docs/notebook_descr_v0-2-4.md +++ b/user_docs/notebook_descr_v0-2-4.md @@ -42,7 +42,7 @@ Bioimage.io description of a Jupyter Notebook. Union of - _internal.url.HttpUrl (WithSuffix(suffix='.ipynb', case_sensitive=True)) - Path - (PathType(path_type='file'); Predicate(func=); WithSuffix(suffix='.ipynb', case_sensitive=True)) + (PathType(path_type='file'); Predicate(func=); WithSuffix(suffix='.ipynb', case_sensitive=True)) - _internal.io.RelativeFilePath (WithSuffix(suffix='.ipynb', case_sensitive=True)) @@ -70,7 +70,7 @@ Sequence of Union of - _internal.url.HttpUrl - Url (max_length=2083 allowed_schemes=['http', 'https']) -(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) +(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) @@ -187,10 +187,10 @@ The supported image formats are: ('.gif', '.jpeg', '.jpg', '.png', '.svg') Sequence of Union of - _internal.url.HttpUrl -- Path (PathType(path_type='file'); Predicate(func=)) +- Path (PathType(path_type='file'); Predicate(func=)) - _internal.io.RelativeFilePath -(WithSuffix(suffix=('.gif', '.jpeg', '.jpg', '.png', '.svg'), case_sensitive=False); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) +(WithSuffix(suffix=('.gif', '.jpeg', '.jpg', '.png', '.svg'), case_sensitive=False); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) @@ -208,7 +208,7 @@ Optional[Union of - _internal.url.HttpUrl - Url (max_length=2083 allowed_schemes=['http', 'https']) -(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none'))] +(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none'))] @@ -237,7 +237,7 @@ Union of - _internal.url.HttpUrl - Url (max_length=2083 allowed_schemes=['http', 'https']) - (AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) + (AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) - str (Len(min_length=1, max_length=2)) - None diff --git a/user_docs/notebook_descr_v0-2.md b/user_docs/notebook_descr_v0-2.md index 0de08fc1a..25960883d 100644 --- a/user_docs/notebook_descr_v0-2.md +++ b/user_docs/notebook_descr_v0-2.md @@ -42,7 +42,7 @@ Bioimage.io description of a Jupyter Notebook. Union of - _internal.url.HttpUrl (WithSuffix(suffix='.ipynb', case_sensitive=True)) - Path - (PathType(path_type='file'); Predicate(func=); WithSuffix(suffix='.ipynb', case_sensitive=True)) + (PathType(path_type='file'); Predicate(func=); WithSuffix(suffix='.ipynb', case_sensitive=True)) - _internal.io.RelativeFilePath (WithSuffix(suffix='.ipynb', case_sensitive=True)) @@ -70,7 +70,7 @@ Sequence of Union of - _internal.url.HttpUrl - Url (max_length=2083 allowed_schemes=['http', 'https']) -(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) +(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) @@ -187,10 +187,10 @@ The supported image formats are: ('.gif', '.jpeg', '.jpg', '.png', '.svg') Sequence of Union of - _internal.url.HttpUrl -- Path (PathType(path_type='file'); Predicate(func=)) +- Path (PathType(path_type='file'); Predicate(func=)) - _internal.io.RelativeFilePath -(WithSuffix(suffix=('.gif', '.jpeg', '.jpg', '.png', '.svg'), case_sensitive=False); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) +(WithSuffix(suffix=('.gif', '.jpeg', '.jpg', '.png', '.svg'), case_sensitive=False); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) @@ -208,7 +208,7 @@ Optional[Union of - _internal.url.HttpUrl - Url (max_length=2083 allowed_schemes=['http', 'https']) -(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none'))] +(AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none'))] @@ -237,7 +237,7 @@ Union of - _internal.url.HttpUrl - Url (max_length=2083 allowed_schemes=['http', 'https']) - (AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) + (AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) - str (Len(min_length=1, max_length=2)) - None diff --git a/user_docs/notebook_descr_v0-3-0.md b/user_docs/notebook_descr_v0-3-0.md index 55e37e3c3..0ed3258ed 100644 --- a/user_docs/notebook_descr_v0-3-0.md +++ b/user_docs/notebook_descr_v0-3-0.md @@ -114,7 +114,7 @@ Union[_internal.license_id.LicenseId, _internal.license_id.DeprecatedLicenseId] Union of - _internal.url.HttpUrl (WithSuffix(suffix='.ipynb', case_sensitive=True)) - Path - (PathType(path_type='file'); Predicate(func=); WithSuffix(suffix='.ipynb', case_sensitive=True)) + (PathType(path_type='file'); Predicate(func=); WithSuffix(suffix='.ipynb', case_sensitive=True)) - _internal.io.RelativeFilePath (WithSuffix(suffix='.ipynb', case_sensitive=True)) @@ -197,10 +197,10 @@ The supported image formats are: ('.gif', '.jpeg', '.jpg', '.png', '.svg') Sequence of Union of - _internal.url.HttpUrl -- Path (PathType(path_type='file'); Predicate(func=)) +- Path (PathType(path_type='file'); Predicate(func=)) - _internal.io.RelativeFilePath -(WithSuffix(suffix=('.gif', '.jpeg', '.jpg', '.png', '.svg'), case_sensitive=False); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) +(WithSuffix(suffix=('.gif', '.jpeg', '.jpg', '.png', '.svg'), case_sensitive=False); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) @@ -213,11 +213,11 @@ Sequence of Union of Optional[Union of -- Path (PathType(path_type='file'); Predicate(func=)) +- Path (PathType(path_type='file'); Predicate(func=)) - _internal.io.RelativeFilePath - _internal.url.HttpUrl -(AfterValidator(_validate_md_suffix); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none'))] +(AfterValidator(_validate_md_suffix); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none'))] @@ -241,7 +241,7 @@ Union of - _internal.url.HttpUrl - Url (max_length=2083 allowed_schemes=['http', 'https']) - (AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) + (AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) - str (Len(min_length=1, max_length=2)) - None diff --git a/user_docs/notebook_descr_v0-3.md b/user_docs/notebook_descr_v0-3.md index 55e37e3c3..0ed3258ed 100644 --- a/user_docs/notebook_descr_v0-3.md +++ b/user_docs/notebook_descr_v0-3.md @@ -114,7 +114,7 @@ Union[_internal.license_id.LicenseId, _internal.license_id.DeprecatedLicenseId] Union of - _internal.url.HttpUrl (WithSuffix(suffix='.ipynb', case_sensitive=True)) - Path - (PathType(path_type='file'); Predicate(func=); WithSuffix(suffix='.ipynb', case_sensitive=True)) + (PathType(path_type='file'); Predicate(func=); WithSuffix(suffix='.ipynb', case_sensitive=True)) - _internal.io.RelativeFilePath (WithSuffix(suffix='.ipynb', case_sensitive=True)) @@ -197,10 +197,10 @@ The supported image formats are: ('.gif', '.jpeg', '.jpg', '.png', '.svg') Sequence of Union of - _internal.url.HttpUrl -- Path (PathType(path_type='file'); Predicate(func=)) +- Path (PathType(path_type='file'); Predicate(func=)) - _internal.io.RelativeFilePath -(WithSuffix(suffix=('.gif', '.jpeg', '.jpg', '.png', '.svg'), case_sensitive=False); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) +(WithSuffix(suffix=('.gif', '.jpeg', '.jpg', '.png', '.svg'), case_sensitive=False); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) @@ -213,11 +213,11 @@ Sequence of Union of Optional[Union of -- Path (PathType(path_type='file'); Predicate(func=)) +- Path (PathType(path_type='file'); Predicate(func=)) - _internal.io.RelativeFilePath - _internal.url.HttpUrl -(AfterValidator(_validate_md_suffix); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none'))] +(AfterValidator(_validate_md_suffix); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none'))] @@ -241,7 +241,7 @@ Union of - _internal.url.HttpUrl - Url (max_length=2083 allowed_schemes=['http', 'https']) - (AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) + (AfterValidator(wo_special_file_name); PlainSerializer(func=, return_type=PydanticUndefined, when_used='unless-none')) - str (Len(min_length=1, max_length=2)) - None