Release 1.5.7

.pre-commit-config.yaml

@@ -13,18 +13,18 @@ repos:
       - id: debug-statements
 
   - repo: https://github.com/psf/black
-    rev: 24.4.2
+    rev: 24.8.0
     hooks:
       - id: black
         language_version: python3
 
   - repo: https://github.com/charliermarsh/ruff-pre-commit
-    rev: "v0.4.9"
+    rev: "v0.6.8"
     hooks:
       - id: ruff
 
   - repo: https://github.com/nbQA-dev/nbQA
-    rev: 1.8.5
+    rev: 1.8.7
     hooks:
       - id: nbqa-black
       - id: nbqa-ruff

CHANGELOG.md

@@ -1,3 +1,7 @@
+## [Version 1.5.7] - 2024-09-27
+
+- Remove `numpy<2` restriction.
+
 ## [Version 1.5.6] - 2024-06-26
 
 - Limit `geopandas` version to < 1.0.0

eolearn/__init__.py

@@ -1,6 +1,6 @@
 """Main module of the `eolearn` package."""
 
-__version__ = "1.5.6"
+__version__ = "1.5.7"
 
 import importlib.util
 import warnings

eolearn/core/constants.py

@@ -46,13 +46,13 @@ def _warn_and_adjust(name: T) -> T:
 class EnumWithDeprecations(EnumMeta):
     """A custom EnumMeta class for catching the deprecated Enum members of the FeatureType Enum class."""
 
-    def __getattribute__(cls, name: str) -> Any:  # noqa: N805
+    def __getattribute__(cls, name: str) -> Any:
         return super().__getattribute__(_warn_and_adjust(name))
 
-    def __getitem__(cls, name: str) -> Any:  # noqa: N805
+    def __getitem__(cls, name: str) -> Any:
         return super().__getitem__(_warn_and_adjust(name))
 
-    def __call__(cls, value: str, *args: Any, **kwargs: Any) -> Any:  # noqa: N805
+    def __call__(cls, value: str, *args: Any, **kwargs: Any) -> Any:
         return super().__call__(_warn_and_adjust(value), *args, **kwargs)
 
 
@@ -238,13 +238,13 @@ def _warn_and_adjust_permissions(name: T) -> T:
 class PermissionsWithDeprecations(EnumMeta):
     """A custom EnumMeta class for catching the deprecated Enum members of the OverwritePermission Enum class."""
 
-    def __getattribute__(cls, name: str) -> Any:  # noqa: N805
+    def __getattribute__(cls, name: str) -> Any:
         return super().__getattribute__(_warn_and_adjust_permissions(name))
 
-    def __getitem__(cls, name: str) -> Any:  # noqa: N805
+    def __getitem__(cls, name: str) -> Any:
         return super().__getitem__(_warn_and_adjust_permissions(name))
 
-    def __call__(cls, value: str, *args: Any, **kwargs: Any) -> Any:  # noqa: N805
+    def __call__(cls, value: str, *args: Any, **kwargs: Any) -> Any:
         return super().__call__(_warn_and_adjust_permissions(value), *args, **kwargs)
 
 

eolearn/core/utils/raster.py

@@ -112,7 +112,7 @@ def constant_pad(  # noqa: C901
         else:
             raise ValueError("Padding rule for columns not supported. Choose between even, left or right!")
 
-    return np.lib.pad(
+    return np.pad(
         array,
         ((row_padding_up, row_padding_down), (col_padding_left, col_padding_right)),
         "constant",

eolearn/features/utils.py

@@ -12,7 +12,7 @@
 import warnings
 from enum import Enum
 from functools import partial
-from typing import TYPE_CHECKING
+from typing import TYPE_CHECKING, Callable
 
 import cv2
 import numpy as np
@@ -86,15 +86,17 @@ class ResizeLib(Enum):
 
     def get_compatible_dtype(self, dtype: np.dtype | type) -> np.dtype:
         """Returns a suitable dtype with which the library can work. Warns if information loss could occur."""
+        lossless: dict[type, type]
+        infoloss: dict[type, type]
         if self is ResizeLib.CV2:
             lossless = {bool: np.uint8, np.float16: np.float32}
             infoloss = {x: np.int32 for x in (np.uint32, np.int64, np.uint64, int)}
         if self is ResizeLib.PIL:
             lossless = {np.float16: np.float32}
             infoloss = {x: np.int32 for x in (np.uint16, np.uint32, np.int64, np.uint64, int)}
 
-        lossless_casts = {np.dtype(k): np.dtype(v) for k, v in lossless.items()}
-        infoloss_casts = {np.dtype(k): np.dtype(v) for k, v in infoloss.items()}
+        lossless_casts: dict[np.dtype, np.dtype] = {np.dtype(k): np.dtype(v) for k, v in lossless.items()}
+        infoloss_casts: dict[np.dtype, np.dtype] = {np.dtype(k): np.dtype(v) for k, v in infoloss.items()}
         return self._extract_compatible_dtype(dtype, lossless_casts, infoloss_casts)
 
     @staticmethod
@@ -159,14 +161,11 @@ def spatially_resize_image(
     old_dtype, new_dtype = data.dtype, resize_library.get_compatible_dtype(data.dtype)
     data = data.astype(new_dtype)
 
+    resize_function: Callable[[np.ndarray], np.ndarray]
     if resize_library is ResizeLib.CV2:
         resize_function = partial(cv2.resize, dsize=size, interpolation=resize_method.get_cv2_method(data.dtype))
     else:
-        resize_function = partial(
-            _pil_resize_ndarray,  # type: ignore[arg-type]
-            size=size,
-            method=resize_method.get_pil_method(),
-        )
+        resize_function = partial(_pil_resize_ndarray, size=size, method=resize_method.get_pil_method())
 
     resized_data = _apply_to_spatial_axes(resize_function, data, spatial_axes)
 

eolearn/visualization/eopatch.py

@@ -330,7 +330,7 @@ def _provide_axes(self, *, nrows: int, ncols: int, title: str | None = None, **s
             **subplot_kwargs,
         )
         if title and self.config.show_title:
-            title_kwargs = {"t": title, "fontsize": 16, "y": 1.0, **self.config.title_kwargs}
+            title_kwargs: dict[str, Any] = {"t": title, "fontsize": 16, "y": 1.0, **self.config.title_kwargs}
             fig.suptitle(**title_kwargs)
 
         fig.subplots_adjust(wspace=0.06, hspace=0.06)

examples/land-cover-map/SI_LULC_pipeline.ipynb

@@ -1559,7 +1559,7 @@
    "source": [
     "class_labels = np.unique(labels_test)\n",
     "class_names = [lulc_type.name for lulc_type in LULC]\n",
-    "mask = np.in1d(predicted_labels_test, labels_test)\n",
+    "mask = np.in1d(predicted_labels_test, labels_test)  # noqa: NPY201\n",
     "predictions = predicted_labels_test[mask]\n",
     "true_labels = labels_test[mask]\n",
     "\n",

pyproject.toml

@@ -47,8 +47,9 @@ dependencies = [
     "boto3",
     "fs",
     "fs-s3fs",
-    "geopandas>=0.11.0,<1",
-    "numpy>=1.20.0,<2",
+    "geopandas>=0.14.4,<1; python_version>='3.9'",
+    "geopandas>=0.11.0,<1; python_version<'3.9'",
+    "numpy>=1.20.0",
     "python-dateutil",
     "sentinelhub>=3.9.0",
     "tqdm>=4.27",
@@ -57,7 +58,8 @@ dependencies = [
     "affine",
     "rasterio>=1.3.8",
     "shapely",
-    "fiona>=1.8.18",
+    "fiona>=1.8.18; python_version>='3.9'",
+    "fiona>=1.8.18,<1.10; python_version<'3.9'",
 ]
 
 [project.optional-dependencies]
@@ -104,7 +106,7 @@ preview = true
 [tool.ruff]
 line-length = 120
 target-version = "py38"
-select = [
+lint.select = [
     "F",    # pyflakes
     "E",    # pycodestyle
     "W",    # pycodestyle
@@ -137,15 +139,15 @@ select = [
     "RUF",  # ruff rules
 ]
 fix = true
-fixable = [
+lint.fixable = [
     "I",     # sort imports
     "F401",  # remove redundant imports
     "UP007", # use new-style union type annotations
     "UP006", # use new-style built-in type annotations
     "UP037", # remove quotes around types when not necessary
     "FA100", # import future annotations where necessary (not autofixable ATM)
 ]
-ignore = [
+lint.ignore = [
     "C408",   # complains about `dict()` calls, we use them to avoid too many " in the code
     "SIM108", # tries to aggresively inline `if`, not always readable
     "A003",   # complains when ATTRIBUTES shadow builtins, we have objects that implement `filter` and such
@@ -156,17 +158,17 @@ ignore = [
     "B028",  # always demands a stacklevel argument when warning
     "PT011", # complains for `pytest.raises(ValueError)` but we use it a lot
 ]
-per-file-ignores = { "__init__.py" = [
+lint.per-file-ignores = { "__init__.py" = [
     "F401",
     "I002",
 ], "conf.py" = [
     "I002",
     "FA100",
 ] }
-exclude = [".git", "__pycache__", "build", "dist"]
+exclude = [".git", "__pycache__", "build", "dist", "*.ipynb"]
 
 
-[tool.ruff.isort]
+[tool.ruff.lint.isort]
 required-imports = ["from __future__ import annotations"]
 section-order = [
     "future",

tests/features/test_features_utils.py

@@ -15,7 +15,7 @@ def test_spatially_resize_image_new_size(
 ):
     """Test that all methods and backends are able to downscale and upscale images of various dtypes."""
     if library is ResizeLib.CV2:  # noqa: SIM102
-        if np.issubdtype(dtype, np.integer) and method is ResizeMethod.CUBIC or dtype == bool:
+        if np.issubdtype(dtype, np.integer) and method is ResizeMethod.CUBIC or dtype is bool:
             return
 
     old_shape = (111, 111)

tests/io/test_sentinelhub_process.py

@@ -62,7 +62,7 @@ def calculate_stats(array):
     return np.round(np.array(values), 4)
 
 
-@pytest.mark.sh_integration()
+@pytest.mark.sh_integration
 class TestProcessingIO:
     """Test cases for SentinelHubInputTask"""
 
@@ -554,7 +554,7 @@ def test_no_data_evalscript_task_request(self):
         assert masks.shape == (0, 101, 99, 1)
 
 
-@pytest.mark.sh_integration()
+@pytest.mark.sh_integration
 class TestSentinelHubInputTaskDataCollections:
     """Integration tests for all supported data collections"""
 

tests/visualization/test_eopatch.py

@@ -47,7 +47,7 @@ def eopatch_fixture():
         ((FeatureType.VECTOR_TIMELESS, "LULC"), {}),
     ],
 )
-@pytest.mark.sh_integration()
+@pytest.mark.sh_integration
 def test_eopatch_plot(eopatch: EOPatch, feature, params):
     """A simple test of EOPatch plotting for different features."""
     # We reduce width and height otherwise running matplotlib.pyplot.subplots in combination with pytest would