support Python 3.9

.github/workflows/lint-and-test.yaml

@@ -5,31 +5,33 @@ on:
     branches: [ main ]
   pull_request:
 
-env:
-  python-version: "3.10"
-
 permissions:
   contents: read
 
 jobs:
   lint-and-test:
-    runs-on: ubuntu-latest
+    runs-on: ${{ matrix.os }}
+    strategy:
+      fail-fast: false
+      matrix:
+        python-version: ["3.9", "3.10", "3.11", "3.12"]
+        os: [ubuntu-latest]
     steps:
       - name: "checkout repository"
         uses: actions/checkout@v4
 
       - uses: actions/setup-python@v5
-        name: 'set up Python ${{ inputs.python-version }}'
+        name: 'set up Python ${{ matrix.python-version }}'
         with:
-          python-version: ${{ env.python-version }}
+          python-version: ${{ matrix.python-version }}
 
       - uses: actions/cache@v4
         id: cache-venv
         with:
           path: ./.venv/
-          key: ${{ runner.os }}-venv-${{ hashFiles('**/dev-requirements.txt') }}
+          key: ${{ matrix.python-version }}-venv-${{ hashFiles('**/dev-requirements.txt') }}
           restore-keys: |
-            ${{ runner.os }}-venv-
+            ${{ matrix.python-version }}-venv
 
       - name: 'create virtualenv and install dependencies'
         if: steps.cache-venv.outputs.cache-hit != 'true'

examples/helpers.py

@@ -1,10 +1,14 @@
+from __future__ import annotations
+
 import logging
 import math
-from collections.abc import Collection
 from pathlib import Path
+from typing import TYPE_CHECKING
 
 import requests
 
+if TYPE_CHECKING:
+    from collections.abc import Collection
 logger = logging.getLogger(__name__)
 
 BYTES_IN_MB = 1024 * 1024

pyproject.toml

@@ -6,7 +6,7 @@ authors = [
 ]
 description = "A tool to assess yield uplift of wind turbines"
 readme = "README.md"
-requires-python = ">=3.10"
+requires-python = ">=3.9"
 license = { file = "LICENSE.txt" }
 classifiers = [
     "Development Status :: 4 - Beta",
@@ -15,6 +15,7 @@ classifiers = [
     "Operating System :: OS Independent",
 ]
 dependencies = [
+    'eval-type-backport',
     'geographiclib',
     'matplotlib',
     'pandas >= 2.0.0',
@@ -27,8 +28,8 @@ dependencies = [
     'seaborn',
     'tabulate',
     'toml',
-    'utm',
     'tqdm',
+    'utm',
 ]
 
 [project.urls]
@@ -65,7 +66,6 @@ include = ["wind_up*"]
 
 [tool.ruff]
 line-length = 120
-target-version = "py310"
 show-fixes = true
 
 [tool.ruff.lint]
@@ -99,7 +99,6 @@ max-args = 17 # try to bring this down to 5
 
 [tool.mypy]
 plugins = ["pydantic.mypy"]
-python_version = "3.10"
 exclude = "build|tests|venv|.venv|__ignore__"
 disallow_untyped_defs = true
 

tests/conftest.py

@@ -1,3 +1,5 @@
+from __future__ import annotations
+
 from pathlib import Path
 
 import pytest

tests/test_backporting.py

@@ -0,0 +1,74 @@
+import pytest
+
+from wind_up.backporting import strict_zip
+
+
+def test_equal_length_iterables() -> None:
+    a = [1, 2, 3]
+    b = ["a", "b", "c"]
+    result = list(strict_zip(a, b, strict=True))
+    assert result == [(1, "a"), (2, "b"), (3, "c")]
+
+
+def test_unequal_length_raises_value_error() -> None:
+    a = [1, 2, 3]
+    b = ["a", "b"]
+
+    with pytest.raises(ValueError):  # noqa PT011
+        list(strict_zip(a, b, strict=True))
+
+
+def test_unequal_length_non_strict() -> None:
+    a = [1, 2, 3]
+    b = ["a", "b"]
+
+    result = list(strict_zip(a, b, strict=False))
+    assert result == [(1, "a"), (2, "b")]  # Shorter iterable determines length
+
+
+def test_empty_iterables() -> None:
+    a = []
+    b = []
+
+    result = list(strict_zip(a, b, strict=True))
+    assert result == []
+
+
+def test_single_iterable() -> None:
+    a = [1, 2, 3]
+
+    result = list(strict_zip(a, strict=True))
+    assert result == [(1,), (2,), (3,)]
+
+
+def test_multiple_iterables() -> None:
+    a = [1, 2, 3]
+    b = ["a", "b", "c"]
+    c = [True, False, True]
+
+    result = list(strict_zip(a, b, c, strict=True))
+    assert result == [(1, "a", True), (2, "b", False), (3, "c", True)]
+
+
+def test_non_iterable_argument() -> None:
+    a = [1, 2, 3]
+    b = 5  # Not iterable
+
+    with pytest.raises(TypeError):
+        list(strict_zip(a, b, strict=True))
+
+
+def test_tuple_and_generator() -> None:
+    a = (1, 2, 3)
+    b = (x for x in ["a", "b", "c"])  # Generator
+
+    result = list(strict_zip(a, b, strict=True))
+    assert result == [(1, "a"), (2, "b"), (3, "c")]
+
+
+def test_nested_iterables() -> None:
+    a = [[1], [2], [3]]
+    b = [["a"], ["b"], ["c"]]
+
+    result = list(strict_zip(a, b, strict=True))
+    assert result == [([1], ["a"]), ([2], ["b"]), ([3], ["c"])]

tests/test_math_funcs.py

@@ -1,3 +1,5 @@
+from __future__ import annotations
+
 import numpy as np
 import pandas as pd
 import pytest

tests/test_smart_data.py

@@ -4,6 +4,7 @@
 import pytest
 
 from tests.conftest import TEST_DATA_FLD
+from wind_up.backporting import strict_zip
 from wind_up.constants import TIMESTAMP_COL
 from wind_up.models import WindUpConfig
 from wind_up.smart_data import (
@@ -32,7 +33,7 @@ def test_calc_last_xmin_datetime_in_month() -> None:
         dt.datetime(2020, 2, 29, 23, 50),
         dt.datetime(2020, 2, 29, 23, 50),
     ]
-    for i, e in zip(inputs, expected, strict=True):
+    for i, e in strict_zip(inputs, expected):
         assert calc_last_xmin_datetime_in_month(i, TIMEBASE_PD_TIMEDELTA) == pd.Timestamp(e)
 
 

tests/test_wind_funcs.py

@@ -1,3 +1,5 @@
+from __future__ import annotations
+
 import pandas as pd
 import pytest
 from pandas.testing import assert_series_equal

wind_up/backporting.py

@@ -0,0 +1,16 @@
+import sys
+from collections.abc import Iterable, Iterator
+
+if sys.version_info >= (3, 10):
+
+    def strict_zip(*iterables: Iterable, strict: bool = False) -> Iterator:
+        return zip(*iterables, strict=strict)
+else:
+
+    def strict_zip(*iterables: Iterable, strict: bool = False) -> Iterator:
+        if strict:
+            iterables = [list(it) for it in iterables]  # type: ignore[assignment]
+            if not all(len(it) == len(iterables[0]) for it in iterables):  # type: ignore[arg-type]
+                msg = "All iterables must have the same length"
+                raise ValueError(msg)
+        return zip(*iterables)  # type: ignore[call-overload]

wind_up/combine_results.py

@@ -1,15 +1,19 @@
+from __future__ import annotations
+
 import itertools
 import logging
 import math
+from typing import TYPE_CHECKING
 
 import numpy as np
 import pandas as pd
 from scipy.stats import norm
 
-from wind_up.models import PlotConfig
 from wind_up.plots.combine_results_plots import plot_combine_results
 from wind_up.result_manager import result_manager
 
+if TYPE_CHECKING:
+    from wind_up.models import PlotConfig
 logger = logging.getLogger(__name__)
 
 

wind_up/detrend.py

@@ -1,10 +1,12 @@
+from __future__ import annotations
+
 import logging
+from typing import TYPE_CHECKING
 
 import numpy as np
 import pandas as pd
 
 from wind_up.math_funcs import circ_diff
-from wind_up.models import PlotConfig, WindUpConfig
 from wind_up.plots.detrend_plots import (
     plot_check_applied_detrend,
     plot_detrend_ws_scatter,
@@ -13,6 +15,8 @@
 from wind_up.result_manager import result_manager
 from wind_up.waking_state import get_iec_upwind_turbines, lat_long_is_valid, list_wtgs_offline_in_scen
 
+if TYPE_CHECKING:
+    from wind_up.models import PlotConfig, WindUpConfig
 logger = logging.getLogger(__name__)
 
 

wind_up/interface.py

@@ -1,13 +1,14 @@
+from __future__ import annotations
+
 import logging
 import math
 from dataclasses import dataclass
-from pathlib import Path
+from typing import TYPE_CHECKING
 
 import pandas as pd
 
 from wind_up.caching import with_pickle_cache
 from wind_up.constants import REANALYSIS_WD_COL
-from wind_up.models import PlotConfig, WindUpConfig
 from wind_up.northing import add_wf_yawdir, apply_northing_corrections
 from wind_up.optimize_northing import auto_northing_corrections
 from wind_up.reanalysis_data import ReanalysisDataset, add_reanalysis_data
@@ -17,6 +18,10 @@
 from wind_up.waking_state import add_waking_state
 from wind_up.ws_est import add_ws_est
 
+if TYPE_CHECKING:
+    from pathlib import Path
+
+    from wind_up.models import PlotConfig, WindUpConfig
 logger = logging.getLogger(__name__)
 
 
@@ -121,7 +126,7 @@ def from_cfg(
         toggle_df: pd.DataFrame | None = None,
         reanalysis_datasets: list[ReanalysisDataset],
         cache_dir: Path | None = None,
-    ) -> "AssessmentInputs":
+    ) -> AssessmentInputs:
         func = preprocess if cache_dir is None else with_pickle_cache(cache_dir / "preprocess.pickle")(preprocess)
         wf_df, pc_per_ttype = func(
             cfg=cfg,

wind_up/long_term.py

@@ -1,13 +1,17 @@
+from __future__ import annotations
+
 import logging
+from typing import TYPE_CHECKING
 
 import numpy as np
 import pandas as pd
 
 from wind_up.constants import HOURS_PER_YEAR, RAW_POWER_COL, RAW_WINDSPEED_COL
-from wind_up.models import PlotConfig, WindUpConfig
 from wind_up.plots.long_term_plots import plot_lt_ws, plot_lt_ws_raw_filt
 from wind_up.result_manager import result_manager
 
+if TYPE_CHECKING:
+    from wind_up.models import PlotConfig, WindUpConfig
 logger = logging.getLogger(__name__)
 
 

wind_up/main_analysis.py

@@ -1,3 +1,5 @@
+from __future__ import annotations
+
 import logging
 import math
 

wind_up/math_funcs.py

@@ -1,3 +1,5 @@
+from __future__ import annotations
+
 import numpy as np
 import numpy.typing as npt