update changelog, relax jsonargparse dep ceiling

Author: speediedan

CHANGELOG.md

@@ -6,6 +6,31 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 
 ## [2.10.0] - 2025-XX-XX
 
+### Added
+
+- Add CI testing for Python `3.13` and update CI validation to include Python `3.13`. [#28](https://github.com/speediedan/finetuning-scheduler/pull/28/)
+- Entry-point plugin discovery for strategy adapters and a new `StrategyAdapter.before_restore_model()` hook — allows installing/registering adapter plugins via standard Python entry points (short-name aliases supported); includes tests and docs. [#26](https://github.com/speediedan/finetuning-scheduler/pull/26/)
+- Add `requirements/utils/prune_torch_deps.py` utility to prune torch-only transitive dependencies when generating CI lockfiles and simplify lockfile pruning. [#23](https://github.com/speediedan/finetuning-scheduler/pull/23/)
+
+### Fixed
+
+- Fix Pyright issues surfaced during the type-hints migration and address related CI/test issues. [#26](https://github.com/speediedan/finetuning-scheduler/pull/26/)
+- Fix edge-case LR lambda handling surfaced with PyTorch 2.10. [c043815](https://github.com/speediedan/finetuning-scheduler/commit/c043815)
+- Bump citation metadata and fix Codecov flag syntax. [a26d026](https://github.com/speediedan/finetuning-scheduler/commit/a26d026)
+
+### Changed
+
+- Modernized type hints for Python `3.10+` and completed related Pyright migration steps; automated test warnings cleanup and improved CI/build scripts and docs requirements. [#28](https://github.com/speediedan/finetuning-scheduler/pull/28/)
+- Migrate CI and build infrastructure to use `uv` (locked requirements, `requirements/ci/overrides.txt` for Lightning commit pins, `manage_standalone_processes.sh` process wrapper, improved torch nightly workflow). [#22](https://github.com/speediedan/finetuning-scheduler/pull/22/)
+- Update import semantics and adapter configuration to accept both `module.Class` and `module:Class` forms and support plural `custom_strategy_adapters` mappings. [#26](https://github.com/speediedan/finetuning-scheduler/pull/26/)
+- Simplify and secure CI lockfile generation by pruning torch-only dependencies and documenting security rationale. [#23](https://github.com/speediedan/finetuning-scheduler/pull/23/)
+- Update minimum Python for builds where applicable: drop support for Python `3.9` (minimum Python `3.10`) and add validation for `3.13`. [#22](https://github.com/speediedan/finetuning-scheduler/pull/22/) [#28](https://github.com/speediedan/finetuning-scheduler/pull/28/)
+
+### Deprecated
+
+- Direct calls to `ScheduleImplMixin.gen_ft_schedule()` are deprecated in favor of `StrategyAdapter.gen_ft_schedule()` instance overrides to allow strategy-specific schedule generation and customization; direct calls will be removed in a future release (2.12.0). (see `src/finetuning_scheduler/fts_supporters.py`)
+
+
 ## [2.9.0] - 2025-10-20
 
 ### Added

pyproject.toml

@@ -48,15 +48,15 @@ classifiers = [
 [project.optional-dependencies]
 # CLI tools for LightningCLI integration
 cli = [
-    "jsonargparse[signatures]>=4.27.7,<4.42.0",
+    "jsonargparse[signatures]>=4.27.7",
     "omegaconf>=2.2.3",
     "hydra-core>=1.2.0",
 ]
 # Extended functionality
 extra = [
     "rich>=12.3.0",
     # Include CLI deps
-    "jsonargparse[signatures]>=4.27.7,<4.42.0",
+    "jsonargparse[signatures]>=4.27.7",
     "omegaconf>=2.2.3",
     "hydra-core>=1.2.0",
 ]
@@ -72,7 +72,7 @@ examples = [
     "psutil>=5.9.0",
     "pip>=21.0.0",  # bc for torch collect_env until it supports uv
     # Include CLI deps
-    "jsonargparse[signatures]>=4.27.7,<4.42.0",
+    "jsonargparse[signatures]>=4.27.7",
     "omegaconf>=2.2.3",
     "hydra-core>=1.2.0",
 ]
@@ -97,7 +97,7 @@ all = [
     # extra
     "rich>=12.3.0",
     # cli
-    "jsonargparse[signatures]>=4.27.7,<4.42.0",
+    "jsonargparse[signatures]>=4.27.7",
     "omegaconf>=2.2.3",
     "hydra-core>=1.2.0",
     # examples

requirements/ci/requirements-oldest.txt

@@ -177,7 +177,7 @@ huggingface-hub==0.36.0
     #   transformers
 hydra-core==1.2.0
     # via finetuning-scheduler (pyproject.toml)
-identify==2.6.15
+identify==2.6.16
     # via pre-commit
 idna==3.11
     # via
@@ -464,7 +464,7 @@ pre-commit==2.0.0
     # via
     #   finetuning-scheduler (pyproject.toml:dev)
     #   finetuning-scheduler (pyproject.toml:test)
-prometheus-client==0.23.1
+prometheus-client==0.24.0
     # via notebook
 prompt-toolkit==3.0.52
     # via ipython

requirements/ci/requirements.txt

@@ -1,5 +1,5 @@
 # This file was autogenerated by uv via the following command:
-#    uv pip compile pyproject.toml --extra all --group dev --group test --output-file /home/speediedan/repos/finetuning-scheduler/requirements/ci/requirements.txt --no-strip-extras --resolution highest --universal --python-version 3.10 --prerelease=if-necessary-or-explicit --override /tmp/tmp.lXhG4NbBJ6 --index-strategy unsafe-best-match --no-emit-package torch
+#    uv pip compile pyproject.toml --extra all --group dev --group test --output-file /home/speediedan/repos/finetuning-scheduler/requirements/ci/requirements.txt --no-strip-extras --resolution highest --universal --python-version 3.10 --prerelease=if-necessary-or-explicit --override /tmp/tmp.IhaCO0ti4Q --index-strategy unsafe-best-match --no-emit-package torch
 aiohappyeyeballs==2.6.1
     # via aiohttp
 aiohttp==3.13.3
@@ -211,7 +211,7 @@ hydra-core==1.3.2
     # via finetuning-scheduler (pyproject.toml)
 id==1.5.0
     # via twine
-identify==2.6.15
+identify==2.6.16
     # via pre-commit
 idna==3.11
     # via
@@ -276,7 +276,7 @@ joblib==1.5.3
     # via scikit-learn
 json5==0.13.0
     # via jupyterlab-server
-jsonargparse[signatures]==4.41.0
+jsonargparse[signatures]==4.45.0
     # via finetuning-scheduler (pyproject.toml)
 jsonpointer==3.0.0
     # via jsonschema
@@ -519,7 +519,7 @@ pre-commit==4.5.1
     # via
     #   finetuning-scheduler (pyproject.toml:dev)
     #   finetuning-scheduler (pyproject.toml:test)
-prometheus-client==0.23.1
+prometheus-client==0.24.0
     # via jupyter-server
 prompt-toolkit==3.0.52
     # via ipython