pass all pytest tests

.github/workflows/test.yml

@@ -1,13 +1,34 @@
+name: Run Unit Test via Pytest
+
+on: [push]
 
-name: "Test"
-on:
-  push:
-  pull_request:
-  workflow_dispatch:
 jobs:
-  tests:
+  build:
     runs-on: ubuntu-latest
+    strategy:
+      matrix:
+        python-version: ["3.10"]
+
     steps:
-    - uses: actions/[email protected]
-    - uses: cachix/install-nix-action@v17
-    - run: nix flake check
+      - uses: actions/checkout@v3
+      - name: Set up Python ${{ matrix.python-version }}
+        uses: actions/setup-python@v4
+        with:
+          python-version: ${{ matrix.python-version }}
+      - name: Install dependencies
+        run: |
+          python -m pip install --upgrade pip
+          if [ -f requirements.txt ]; then pip install -r requirements.txt; fi
+      - name: Lint with Ruff
+        run: |
+          pip install ruff
+          ruff --format=github --target-version=py310 .
+        continue-on-error: true
+      - name: Test with pytest
+        run: |
+          pip install coverage pytest
+          coverage run -m pytest  -v -s
+      - name: Generate Coverage Report
+        run: |
+          coverage report -m
+

.gitignore

@@ -1,3 +1,5 @@
+.vscode
+
 *.py[cod]
 
 *.pyc

acoustic_toolbox/__init__.py

@@ -5,7 +5,6 @@
 The acoustic_toolbox module.
 
 """
-import acoustic_toolbox.aio
 import acoustic_toolbox.ambisonics
 import acoustic_toolbox.atmosphere
 import acoustic_toolbox.bands

acoustic_toolbox/room.py

@@ -23,7 +23,8 @@ def mean_alpha(alphas, surfaces):
     :param alphas: Absorption coefficients :math:`\\alpha`.
     :param surfaces: Surfaces :math:`S`.
     """
-    return np.average(alphas, axis=0, weights=surfaces)
+    axis = None if np.ndim(alphas) == 0 else 0
+    return np.average(alphas, axis=axis, weights=surfaces)
 
 
 def nrc(alphas):

acoustic_toolbox/standards/iec_61672_1_2013.py

@@ -156,8 +156,6 @@ def integrate(data, sample_frequency, integration_time):
         This results in a drift of samples for longer signals (e.g. 60 minutes at 44.1 kHz).
 
     """
-    integration_time = np.asarray(integration_time)
-    sample_frequency = np.asarray(sample_frequency)
     samples = data.shape[-1]
     b, a = zpk2tf([1.0], [1.0, integration_time], [1.0])
     b, a = bilinear(b, a, fs=sample_frequency)