chore: move org

.github_changelog_generator

@@ -1,4 +1,4 @@
-user=tlambert03
+user=imaging-formats
 project=ome-types
 issues=false
 exclude-labels=duplicate,question,invalid,wontfix,hide

README.md

@@ -1,14 +1,14 @@
 # ome-types
 
-[![License](https://img.shields.io/github/license/tlambert03/ome-types)](LICENSE)
+[![License](https://img.shields.io/github/license/imaging-formats/ome-types)](LICENSE)
 [![Version](https://img.shields.io/pypi/v/ome-types.svg)](https://pypi.python.org/pypi/ome-types)
 [![CondaVersion](https://img.shields.io/conda/v/conda-forge/ome-types)](https://anaconda.org/conda-forge/ome-types)
 [![Python
 Version](https://img.shields.io/pypi/pyversions/ome-types.svg)](https://python.org)
-[![Tests](https://github.com/tlambert03/ome-types/workflows/tests/badge.svg)](https://github.com/tlambert03/ome-types/actions)
+[![Tests](https://github.com/imaging-formats/ome-types/workflows/tests/badge.svg)](https://github.com/imaging-formats/ome-types/actions)
 [![Docs](https://readthedocs.org/projects/ome-types/badge/?version=latest)](https://ome-types.readthedocs.io/en/latest/?badge=latest)
-[![codecov](https://codecov.io/gh/tlambert03/ome-types/branch/main/graph/badge.svg?token=GocY9y8A32)](https://codecov.io/gh/tlambert03/ome-types)
-[![Benchmarks](https://img.shields.io/badge/⏱-codspeed-%23FF7B53)](https://codspeed.io/tlambert03/ome-types)
+[![codecov](https://codecov.io/gh/imaging-formats/ome-types/branch/main/graph/badge.svg?token=GocY9y8A32)](https://codecov.io/gh/imaging-formats/ome-types)
+[![Benchmarks](https://img.shields.io/badge/⏱-codspeed-%23FF7B53)](https://codspeed.io/imaging-formats/ome-types)
 
 ## A pure-python implementation of the OME data model
 
@@ -21,7 +21,7 @@ can also take these python objects and output them into valid OME-XML.
 machine.
 
 > Note: The generated python code can be seen in the [`built`
-> branch](https://github.com/tlambert03/ome-types/tree/built).
+> branch](https://github.com/imaging-formats/ome-types/tree/built).
 > (Read the [code generation](#code-generation) section for details).
 
 ### 📖   [documentation](https://ome-types.readthedocs.io/)
@@ -56,7 +56,7 @@ conda install -c conda-forge ome-types
 ### from github (bleeding edge dev version)
 
 ```shell
-pip install git+https://github.com/tlambert03/ome-types.git
+pip install git+https://github.com/imaging-formats/ome-types.git
 ```
 
 ## Usage
@@ -230,7 +230,7 @@ generated at install time, and is therefore not checked into source (or visible
 in the main branch of this repo).
 
 You can see the code generated by the main branch in the [built
-branch](https://github.com/tlambert03/ome-types/tree/built)
+branch](https://github.com/imaging-formats/ome-types/tree/built)
 
 The package at `src/ome_autogen` converts the [ome.xsd
 schema](https://www.openmicroscopy.org/Schemas/OME/2016-06/ome.xsd) into valid
@@ -248,7 +248,7 @@ The documentation and types for the full model can be in the [API Reference](htt
 To clone and install this repository locally:
 
 ```shell
-git clone https://github.com/tlambert03/ome-types.git
+git clone https://github.com/imaging-formats/ome-types.git
 cd ome-types
 pip install -e .[test,dev]
 ```

mkdocs.yml

@@ -1,7 +1,7 @@
 site_name: ome-types
 site_author: Talley Lambert
-repo_name: tlambert03/ome-types
-repo_url: https://github.com/tlambert03/ome-types
+repo_name: imaging-formats/ome-types
+repo_url: https://github.com/imaging-formats/ome-types
 edit_uri: edit/main/docs/
 site_description: Python dataclasses for the OME data model
 copyright: "Talley Lambert © 2023"

pyproject.toml

@@ -36,8 +36,8 @@ dependencies = [
 ]
 
 [project.urls]
-Source = "https://github.com/tlambert03/ome-types"
-Tracker = "https://github.com/tlambert03/ome-types/issues"
+Source = "https://github.com/imaging-formats/ome-types"
+Tracker = "https://github.com/imaging-formats/ome-types/issues"
 Documentation = "https://ome-types.readthedocs.io/en/latest/"
 
 [project.entry-points."napari.manifest"]
@@ -56,7 +56,7 @@ lxml = [
   "lxml >=5.3; python_version >= '3.13'",
 ]
 # Keep build here for hatch compatibility
-build = ["ruff ==0.13.2", "xsdata[cli] >=24.7"]
+build = ["ruff ==0.13.2", "xsdata[cli] ==25.7"]
 
 # https://peps.python.org/pep-0735/
 [dependency-groups]

src/xsdata_pydantic_basemodel/pydantic_compat.py

@@ -50,7 +50,7 @@ def _pydantic_field_to_dataclass_field(
     metadata = _get_metadata(pydantic_field).copy()
 
     # HACK
-    # see https://github.com/tlambert03/ome-types/pull/235 for description of problem
+    # see https://github.com/imaging-formats/ome-types/pull/235 for background
     # This is a hack to get around the fact that xsdata requires Element choices
     # to be added to the Field metadata as `choices: List[dict]` ... but pydantic
     # requires that everything in a Field be hashable (if you want to cast the model