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# Most of the specs in this module should be executed with multiple executors. Some tests
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# should be called with all executors (including the pickling variants) and some with a subset (i.e., without the pickling variants).
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# In order to avoid redundant parameterization of each test, pytest_generate_tests is defined here.
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# If a spec uses an `exc_with_pickling` fixture (defined as a function parameter), that test is automatically parameterized with all executors. Analoguous, parameterization happens with `exc`.
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# If a spec uses an `exc_with_pickling` fixture (defined as a function parameter), that test is automatically parameterized with all executors. Analogous, parameterization happens with `exc`.
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# Regarding how this works in details: This function is called for each test and has access to the fixtures supplied
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# to the test and most importantly can parametrize those fixtures.
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@@ -304,8 +304,8 @@ For upgrade instructions, please check the respective _Breaking Changes_ section
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### Breaking Changes
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-`RemoteDataset.display_name` is deprecated. To change the name of a dataset use the `name` property instead.
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-`Dataset.get_remote_datasets()` returns a mapping. The keys of this mapping changed from datasets name to datasets id.
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-`Task.create()` needs a `dataset_id` now instead of a `dataset_name`. Alternativly a `RemoteDataset` object can be used. The `dataset_name` is marked as deprecated. As `dataset_name` is an optional argument now its position has changed, this is important if `create()` is called only with positional arguments.
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- When uploading an Annotation the organization_id is neccessary now. The organization_id might be stored in the Annotation object or it is inferred from the current webknossos_context. [#1155](https://github.com/scalableminds/webknossos-libs/pull/1155)
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-`Task.create()` needs a `dataset_id` now instead of a `dataset_name`. Alternatively a `RemoteDataset` object can be used. The `dataset_name` is marked as deprecated. As `dataset_name` is an optional argument now its position has changed, this is important if `create()` is called only with positional arguments.
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- When uploading an Annotation the organization_id is necessary now. The organization_id might be stored in the Annotation object or it is inferred from the current webknossos_context. [#1155](https://github.com/scalableminds/webknossos-libs/pull/1155)
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### Added
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-`Dataset` method `get_remote_datasets()` accepts `name` and `folder_id` as arguments now to filter remote datasets.
@@ -510,7 +510,7 @@ Removed the CZI installation extra from `pip install webknossos[all]` by default
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- Added a pixel level heuristic for distinguishing color and segmentation layers when importing image data with the `from_images` or `add_layer_from_images` method. [#1007](https://github.com/scalableminds/webknossos-libs/pull/1007)
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- Added .ims as supported suffix. [#1085](https://github.com/scalableminds/webknossos-libs/pull/1085)
- Added suport for setting a default ID mapping for segmentation layers. [#1118](https://github.com/scalableminds/webknossos-libs/pull/1118)
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- Added support for setting a default ID mapping for segmentation layers. [#1118](https://github.com/scalableminds/webknossos-libs/pull/1118)
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### Changed
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- Moved functional parts of merge volume annotation CLI to Dataset and Annotation classes. [#1055](https://github.com/scalableminds/webknossos-libs/pull/1055)
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