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chore: release 0.32.0 (#358)
Signed-off-by: ThibaultFy <50656860+ThibaultFy@users.noreply.github.com>
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CHANGELOG.md

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@@ -7,6 +7,10 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
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## [Unreleased]
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## [0.32.0]
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- No changes.
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## [0.31.0]
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- Add user management doc ([#345](https://github.com/Substra/substra-documentation/pull/345))

docs/source/additional/release.rst

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@@ -28,21 +28,26 @@ This is an overview of the main changes, please have a look at the changelog of
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- `backend changelog <https://github.com/Substra/substra-backend/blob/main/CHANGELOG.md>`__
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- `orchestrator changelog <https://github.com/Substra/orchestrator/blob/main/CHANGELOG.md>`__
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Substra 0.32.0 --- 2023-09-08
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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- Update Substra to Pydantic 2.3.0. Concerned components by the update are SusbtraFL, Substra, Substra-backend and Substra-tests.
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Substra 0.31.0 --- 2023-09-07
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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**SubstraFL:**
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- **BREAKING**: `local_dependencies` is renamed `local_installable_dependencies`.
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- Python dependencies can be resolved using pip compile during function registration by setting `compile` to `True` in the `Dependency` object. This will speed-up the docker image build phase when running on a Substra server but will slow down a bit the compute plan registration.
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.. code-block:: python
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Dependency(
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pypi_dependencies=["pytest", "numpy"],
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compile=True,
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)
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- `random.seed` , `np.random.seed` and `torch.manual_seed`  are now set, saved & load in `TorchAlgo`
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- When using `clean_models=True`, the tasks outputs of the very last round are now saved.****
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- Fixes issue where the session would not actually last the 24 hours intended.
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- Added new `Client.logout` function, mirroring `Client.login`
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- `Client` can now be used within a context manager
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.. code-block:: python
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with Client(
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**Web application**:
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- In performance view, ``Rounds`` is now the default for X-axis
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- In task duration, fix issue were `Task execution` and `Outputs saving` durations were inverted
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- In task duration, fix issue were `Task execution` and `Outputs saving` durations were inverted
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**Documentation**:
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docs/source/additional/releases.yaml

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- substra-tests
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releases:
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- version: 0.32.0
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components:
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substrafl:
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version: 0.41.0
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link: https://github.com/Substra/substrafl/releases/tag/0.41.0
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substra:
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version: 0.48.0
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link: https://github.com/Substra/substra/releases/tag/0.48.0
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substra-tools:
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version: 0.20.0
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link: https://github.com/Substra/substra-tools/releases/tag/0.20.0
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substra-backend:
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version: 0.42.0
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link: https://github.com/Substra/substra-backend/releases/tag/0.42.0
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helm:
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version: 22.8.2
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link: https://artifacthub.io/packages/helm/substra/substra-backend/22.8.2
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orchestrator:
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version: 0.36.0
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link: https://github.com/Substra/orchestrator/releases/tag/0.36.0
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helm:
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version: 7.5.4
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link: https://artifacthub.io/packages/helm/substra/orchestrator/7.5.4
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substra-frontend:
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version: 0.45.0
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link: https://github.com/Substra/substra-frontend/releases/tag/0.45.0
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helm:
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version: 1.0.23
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link: https://artifacthub.io/packages/helm/substra/substra-frontend/1.0.23
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hlf-k8s:
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version: 0.2.4
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link: https://github.com/Substra/hlf-k8s/releases/tag/0.2.4
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helm:
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version: 10.2.4
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link: https://artifacthub.io/packages/helm/substra/hlf-k8s/10.2.4
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substra-tests:
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version: 0.45.0
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link: https://github.com/Substra/substra-tests/releases/tag/0.45.0
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- version: 0.31.0
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components:
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substrafl:

docs/source/conf.py

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nitpick_ignore = [
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("py:class", "pydantic.main.BaseModel"),
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("py:class", "BaseModel"),
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("py:class", "torch.nn.modules.module.Module"),
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("py:class", "torch.nn.modules.loss._Loss"),
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("py:class", "torch.optim.optimizer.Optimizer"),

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