remove singledispatch for better static typing

README.md

@@ -1,6 +1,6 @@
 # core-bioimage-io-python
 
-Python specific core utilities for running models in the [BioImage Model Zoo](https://bioimage.io).
+Python specific core utilities for [bioimage.io]("https://bioimage.io") resources (in particular models).
 
 ## Installation
 
@@ -67,7 +67,7 @@ mamba activate core
 pip install -e . --no-deps
 ```
 
-There are different environment files that only install tensorflow or pytorch as dependencies available.
+There are different environment files available that only install tensorflow or pytorch as dependencies.
 
 ## 💻 Command Line
 
@@ -106,19 +106,31 @@ bioimagei predict-images -m <MODEL> -i <INPUT_PATTERN> - o <OUTPUT_FOLDER>
 
 ## From python
 
-`bioimageio.core` is a python library that implements loading models, running prediction with them and more.
-To get an overview of this functionality, check out the example notebooks:
+`bioimageio.core` is a python package that implements prediction with bioimageio models
+including standardized pre- and postprocessing operations.
+These models are described by---and can be loaded with---the bioimageio.spec package.
 
-* [example/model_usage](https://github.com/bioimage-io/core-bioimage-io-python/blob/main/example/model_usage.ipynb) for how to load models and run prediction with them
-* [example/model_creation](https://github.com/bioimage-io/core-bioimage-io-python/blob/main/example/model_creation.ipynb) for how to create bioimage.io compatible model packages
-* [example/dataset_statistics_demo](https://github.com/bioimage-io/core-bioimage-io-python/blob/main/example/dataset_statistics_demo.ipynb) for how to use the dataset statistics for advanced pre-and-postprocessing
+In addition bioimageio.core provides functionality to convert model weight formats.
+
+To get an overview of this functionality, check out these example notebooks:
+
+* [model creation/loading with bioimageio.spec](https://github.com/bioimage-io/spec-bioimage-io/blob/main/example_use/load_model_and_create_your_own.ipynb)
 
 ## Model Specification
 
 The model specification and its validation tools can be found at <https://github.com/bioimage-io/spec-bioimage-io>.
 
 ## Changelog
 
+### 0.6.1
+
+* Fix [#378](https://github.com/bioimage-io/core-bioimage-io-python/pull/378) (with [#379](https://github.com/bioimage-io/core-bioimage-io-python/pull/379))*
+
+### 0.6.0
+
+* add compatibility with new bioimageio.spec 0.5 (0.5.2post1)
+* improve interfaces
+
 ### 0.5.10
 
 * [Fix critical bug in predict with tiling](https://github.com/bioimage-io/core-bioimage-io-python/pull/359)

bioimageio/core/VERSION

@@ -1,3 +1,3 @@
 {
-    "version": "0.6.0"
+    "version": "0.6.1"
 }

bioimageio/core/digest_spec.py

@@ -1,7 +1,6 @@
 from __future__ import annotations
 
 import importlib.util
-from functools import singledispatch
 from itertools import chain
 from typing import (
     Any,
@@ -20,7 +19,7 @@
 from numpy.typing import NDArray
 from typing_extensions import Unpack, assert_never
 
-from bioimageio.spec._internal.io import HashKwargs, download
+from bioimageio.spec._internal.io_utils import HashKwargs, download
 from bioimageio.spec.common import FileSource
 from bioimageio.spec.model import AnyModelDescr, v0_4, v0_5
 from bioimageio.spec.model.v0_4 import CallableFromDepencency, CallableFromFile
@@ -44,44 +43,32 @@
 from .tensor import Tensor
 
 
-@singledispatch
-def import_callable(node: type, /) -> Callable[..., Any]:
+def import_callable(
+    node: Union[CallableFromDepencency, ArchitectureFromLibraryDescr],
+    /,
+    **kwargs: Unpack[HashKwargs],
+) -> Callable[..., Any]:
     """import a callable (e.g. a torch.nn.Module) from a spec node describing it"""
-    raise TypeError(type(node))
-
-
-@import_callable.register
-def _(node: CallableFromDepencency, **kwargs: Unpack[HashKwargs]) -> Callable[..., Any]:
-    module = importlib.import_module(node.module_name)
-    c = getattr(module, str(node.callable_name))
-    if not callable(c):
-        raise ValueError(f"{node} (imported: {c}) is not callable")
-
-    return c
+    if isinstance(node, CallableFromDepencency):
+        module = importlib.import_module(node.module_name)
+        c = getattr(module, str(node.callable_name))
+    elif isinstance(node, ArchitectureFromLibraryDescr):
+        module = importlib.import_module(node.import_from)
+        c = getattr(module, str(node.callable))
+    elif isinstance(node, CallableFromFile):
+        c = _import_from_file_impl(node.source_file, str(node.callable_name), **kwargs)
+    elif isinstance(node, ArchitectureFromFileDescr):
+        c = _import_from_file_impl(node.source, str(node.callable), sha256=node.sha256)
 
+    else:
+        assert_never(node)
 
-@import_callable.register
-def _(
-    node: ArchitectureFromLibraryDescr, **kwargs: Unpack[HashKwargs]
-) -> Callable[..., Any]:
-    module = importlib.import_module(node.import_from)
-    c = getattr(module, str(node.callable))
     if not callable(c):
         raise ValueError(f"{node} (imported: {c}) is not callable")
 
     return c
 
 
-@import_callable.register
-def _(node: CallableFromFile, **kwargs: Unpack[HashKwargs]):
-    return _import_from_file_impl(node.source_file, str(node.callable_name), **kwargs)
-
-
-@import_callable.register
-def _(node: ArchitectureFromFileDescr, **kwargs: Unpack[HashKwargs]):
-    return _import_from_file_impl(node.source, str(node.callable), sha256=node.sha256)
-
-
 def _import_from_file_impl(
     source: FileSource, callable_name: str, **kwargs: Unpack[HashKwargs]
 ):