Update version and precommit (#761)

* increase version for minor release and update pre-commit

* adjust CHANGELOG

.pre-commit-config.yaml

@@ -1,6 +1,6 @@
 repos:
   - repo: https://github.com/pre-commit/pre-commit-hooks
-    rev: v4.4.0
+    rev: v4.5.0
     hooks:
       - id: end-of-file-fixer
       - id: requirements-txt-fixer
@@ -13,13 +13,13 @@ repos:
       - id: debug-statements
 
   - repo: https://github.com/psf/black
-    rev: 23.7.0
+    rev: 23.9.1
     hooks:
       - id: black
         language_version: python3
 
   - repo: https://github.com/charliermarsh/ruff-pre-commit
-    rev: "v0.0.282"
+    rev: "v0.0.292"
     hooks:
       - id: ruff
 

CHANGELOG.md

@@ -1,3 +1,8 @@
+## [Version 1.5.1] - 2023-10-17
+
+- `MorphologicalFilterTask` adapted to work on boolean values.
+- Added `temporal_subset` method to `EOPatch`, which can be used to extract a subset of an `EOPatch` by filtering out temporal slices. Also added a corresponding `TemporalSubsetTask`.
+
 ## [Version 1.5.0] - 2023-09-06
 
 The release focuses on making `eo-learn` much simpler to install, reducing the number of dependencies, and improving validation of soundness of `EOPatch` data.

docs/source/conf.py

@@ -134,7 +134,7 @@
 # When Sphinx documents class signature it prioritizes __new__ method over __init__ method. The following hack puts
 # EOTask.__new__ method to the blacklist so that __init__ method signature will be taken instead. This seems the
 # cleanest way even though a private object is accessed.
-sphinx.ext.autodoc._CLASS_NEW_BLACKLIST.append("{0.__module__}.{0.__qualname__}".format(EOTask.__new__))  # noqa: SLF001
+sphinx.ext.autodoc._CLASS_NEW_BLACKLIST.append(f"{EOTask.__module__}.{EOTask.__new__.__qualname__}")  # noqa: SLF001
 
 
 EXAMPLES_FOLDER = "./examples"

eolearn/__init__.py

@@ -1,5 +1,5 @@
 """Main module of the `eolearn` package."""
-__version__ = "1.5.0"
+__version__ = "1.5.1"
 
 import importlib.util
 import warnings

eolearn/core/eoexecution.py

@@ -36,8 +36,7 @@
 class _HandlerWithFsFactoryType(Protocol):
     """Type definition for a callable that accepts a path and a filesystem object"""
 
-    def __call__(self, path: str, filesystem: FS, **kwargs: Any) -> Handler:
-        ...
+    def __call__(self, path: str, filesystem: FS, **kwargs: Any) -> Handler: ...
 
 
 # pylint: disable=invalid-name

eolearn/core/eoworkflow.py

@@ -307,12 +307,10 @@ def get_nodes(self) -> list[EONode]:
         return self._nodes[:]
 
     @overload
-    def get_node_with_uid(self, uid: str, fail_if_missing: Literal[True] = ...) -> EONode:
-        ...
+    def get_node_with_uid(self, uid: str, fail_if_missing: Literal[True] = ...) -> EONode: ...
 
     @overload
-    def get_node_with_uid(self, uid: str, fail_if_missing: Literal[False] = ...) -> EONode | None:
-        ...
+    def get_node_with_uid(self, uid: str, fail_if_missing: Literal[False] = ...) -> EONode | None: ...
 
     def get_node_with_uid(self, uid: str, fail_if_missing: bool = False) -> EONode | None:
         """Returns node with give uid, if it exists in the workflow."""

eolearn/core/extra/ray.py

@@ -61,7 +61,7 @@ def _get_processing_type(*_: Any, **__: Any) -> _ProcessingType:
 def _ray_workflow_executor(workflow_args: _ProcessingData) -> WorkflowResults:
     """Called to execute a workflow on a ray worker"""
     # pylint: disable=protected-access
-    return RayExecutor._execute_workflow(workflow_args)
+    return RayExecutor._execute_workflow(workflow_args)  # noqa: SLF001
 
 
 def parallelize_with_ray(