diff --git a/.github/workflows/python-tests.yml b/.github/workflows/python-tests.yml index 524062e..96baed9 100644 --- a/.github/workflows/python-tests.yml +++ b/.github/workflows/python-tests.yml @@ -11,18 +11,16 @@ jobs: build: strategy: matrix: - python-version: ["3.10", "3.11", "3.12"] + python-version: ["3.10.15", "3.11", "3.12"] os: - "ubuntu-latest" - - "windows-latest" - - "macos-latest" runs-on: ${{matrix.os}} steps: - uses: actions/checkout@v4 - name: Install uv - uses: astral-sh/setup-uv@v2 + uses: astral-sh/setup-uv@v3 with: enable-cache: true cache-dependency-glob: "uv.lock" @@ -31,7 +29,7 @@ jobs: run: uv python install ${{ matrix.python-version }} - name: Install the project - run: uv sync --all-extras --dev + run: uv sync --all-extras - name: Lint run: diff --git a/.python-version b/.python-version index c8cfe39..e69de29 100644 --- a/.python-version +++ b/.python-version @@ -1 +0,0 @@ -3.10 diff --git a/pyproject.toml b/pyproject.toml index b270e04..61070b3 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -5,10 +5,10 @@ authors = [ { name = "Chadwick Boulay", email = "chadwick.boulay@gmail.com" }, ] readme = "README.md" -requires-python = ">=3.10" +requires-python = ">=3.10.15" dynamic = ["version"] dependencies = [ - "ezmsg-sigproc>=1.5.0", + "ezmsg-sigproc>=1.6.0", "numpy>=1.26", "sparse>=0.15.4", ] @@ -17,6 +17,10 @@ dependencies = [ test = [ "pytest>=8.3.3", ] +dev = [ + "ruff>=0.6.8", + "typer>=0.12.5", +] [build-system] requires = ["hatchling", "hatch-vcs"] @@ -30,9 +34,3 @@ version-file = "src/ezmsg/event/__version__.py" [tool.hatch.build.targets.wheel] packages = ["src/ezmsg"] - -[tool.uv] -dev-dependencies = [ - "ruff>=0.6.8", - "typer>=0.12.5", -] diff --git a/src/ezmsg/event/peak.py b/src/ezmsg/event/peak.py index f3c8a1f..934da02 100644 --- a/src/ezmsg/event/peak.py +++ b/src/ezmsg/event/peak.py @@ -26,7 +26,7 @@ def threshold_crossing( return_peak_val: bool = False, auto_scale_tau: float = 0.0, ) -> typing.Generator[ - typing.Union[typing.List[EventMessage], AxisArray], AxisArray, None + list[EventMessage] | AxisArray, AxisArray, None ]: """ Detect threshold crossing events. @@ -52,31 +52,29 @@ def threshold_crossing( msg_out = AxisArray(np.array([]), dims=[""]) # Initialize state variables - sample_shape: typing.Optional[typing.Tuple[int, ...]] = None - fs: typing.Optional[float] = None + sample_shape: tuple[int, ...] | None = None + fs: float | None = None max_width: int = 0 min_width: int = 1 # Consider making this a parameter. refrac_width: int = 0 - scaler: typing.Optional[typing.Generator[AxisArray, AxisArray, None]] = None + scaler: typing.Generator[AxisArray, AxisArray, None] | None = None # adaptive z-scoring. # TODO: This sample-by-sample adaptation is probably overkill. ezmsg-sigproc should add chunk-wise scaler updating. - _overs: typing.Optional[npt.NDArray] = ( - None # (n_feats, <=max_width) int == -1 or +1 - ) + _overs: npt.NDArray | None = None # (n_feats, <=max_width) int == -1 or +1 # Trailing buffer to track whether the previous sample(s) were past threshold. - _data: typing.Optional[npt.NDArray] = None # (n_feats, <=max_width) in_dtype + _data: npt.NDArray | None = None # (n_feats, <=max_width) in_dtype # Trailing buffer in case peak spans sample chunks. Only used if align_on_peak or return_peak_val. - _data_raw: typing.Optional[npt.NDArray] = None # (n_feats, <=max_width) in_dtype + _data_raw: npt.NDArray | None = None # (n_feats, <=max_width) in_dtype # Only used if return_peak_val and scaler is not None - _elapsed: typing.Optional[npt.NDArray] = None # (n_feats,) int + _elapsed: npt.NDArray | None = None # (n_feats,) int # Number of samples since last event. Used to enforce refractory period across iterations. # - # _n_skip: typing.Optional[npt.NDArray] = None # (n_feats,) int + # _n_skip: npt.NDArray | None = None # (n_feats,) int while True: msg_in: AxisArray = yield msg_out @@ -114,7 +112,7 @@ def threshold_crossing( ) # Optionally scale data - data_raw: typing.Optional[npt.NDArray] = None + data_raw: npt.NDArray | None = None if scaler is not None: if return_peak_val: data_raw = msg_in.data.copy() diff --git a/src/ezmsg/event/rate.py b/src/ezmsg/event/rate.py index 349a3af..efdfca1 100644 --- a/src/ezmsg/event/rate.py +++ b/src/ezmsg/event/rate.py @@ -37,8 +37,8 @@ def event_rate( window_shift=bin_duration, zero_pad_until="none", ) - out_dims: typing.Optional[typing.List[str]] = None - out_axes: typing.Optional[typing.Dict[str, AxisArray.Axis]] = None + out_dims: list[str] | None = None + out_axes: dict[str, AxisArray.Axis] | None = None while True: msg_in: AxisArray = yield msg_out diff --git a/src/ezmsg/event/window.py b/src/ezmsg/event/window.py index 212f2c5..76a3679 100644 --- a/src/ezmsg/event/window.py +++ b/src/ezmsg/event/window.py @@ -17,10 +17,10 @@ @consumer def windowing( - axis: typing.Optional[str] = None, + axis: str | None = None, newaxis: str = "win", - window_dur: typing.Optional[float] = None, - window_shift: typing.Optional[float] = None, + window_dur: float | None = None, + window_shift: float | None = None, zero_pad_until: str = "input", ) -> typing.Generator[AxisArray, AxisArray, None]: """ @@ -70,14 +70,14 @@ def windowing( msg_out = AxisArray(np.array([]), dims=[""]) # State variables - buffer: typing.Optional[sparse.SparseArray] = None - window_samples: typing.Optional[int] = None - window_shift_samples: typing.Optional[int] = None + buffer: sparse.SparseArray | None = None + window_samples: int | None = None + window_shift_samples: int | None = None shift_deficit: int = 0 b_1to1 = window_shift is None newaxis_warned: bool = b_1to1 - out_newaxis: typing.Optional[AxisArray.Axis] = None - out_dims: typing.Optional[typing.List[str]] = None + out_newaxis: AxisArray.Axis | None = None + out_dims: list[str] | None = None check_inputs = {"samp_shape": None, "fs": None, "key": None} @@ -203,10 +203,10 @@ def windowing( class WindowSettings(ez.Settings): - axis: typing.Optional[str] = None - newaxis: typing.Optional[str] = None # new axis for output. No new axes if None - window_dur: typing.Optional[float] = None # Sec. passthrough if None - window_shift: typing.Optional[float] = None # Sec. Use "1:1 mode" if None + axis: str | None = None + newaxis: str | None = None # new axis for output. No new axes if None + window_dur: float | None = None # Sec. passthrough if None + window_shift: float | None = None # Sec. Use "1:1 mode" if None zero_pad_until: str = "full" # "full", "shift", "input", "none" diff --git a/tests/test_peak.py b/tests/test_peak.py index 942ab7f..225546b 100644 --- a/tests/test_peak.py +++ b/tests/test_peak.py @@ -1,7 +1,6 @@ import os from pathlib import Path import tempfile -import typing import numpy as np import pytest @@ -86,7 +85,7 @@ def test_threshold_crossing(return_peak_val: bool): assert np.array_equal(feat_inds, exp_feat_inds) -def get_test_fn(test_name: typing.Optional[str] = None, extension: str = "txt") -> Path: +def get_test_fn(test_name: str | None = None, extension: str = "txt") -> Path: """PYTEST compatible temporary test file creator""" if test_name is None: test_name = os.environ.get("PYTEST_CURRENT_TEST") diff --git a/tests/test_window.py b/tests/test_window.py index ee9e650..5f0dcfb 100644 --- a/tests/test_window.py +++ b/tests/test_window.py @@ -1,5 +1,3 @@ -import typing - import numpy as np import pytest import sparse @@ -13,7 +11,7 @@ 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