Implemented CI (#13)

* Added github workflows.
* Changed: np.int()->int()
* Changed metadata [conda env:mypy] -> ipykernel
* Typo $\Re\{x_1[k]}$ -> $\Re\{x_1[k]\}$
* Changed python versions and checkoutversions

.github/workflows/lint_nb.yml

@@ -0,0 +1,46 @@
+name: Linting Notebooks with Black
+
+on:
+  push:
+    branches:
+      - dev  # Change this to your repository's main branch
+  pull_request:
+    branches:
+      - dev  
+jobs:
+  lint:
+    runs-on: ubuntu-latest
+
+    steps:
+    - name: Checkout code
+      uses: actions/checkout@v4
+
+    - name: Set up Python
+      uses: actions/setup-python@v4
+      with:
+        python-version: "3.10"  # Change this to your desired Python version
+
+    - name: Install dependencies
+      run: |
+        pip install black==23.1.0 nbformat black[jupyter]
+      continue-on-error: false
+
+    - name: Find notebooks
+      id: find-notebooks
+      run: |
+        find . -name "*.ipynb" > notebooks.txt
+      continue-on-error: true
+
+    - name: Lint notebooks
+      run: |
+        cat notebooks.txt | xargs -I {} black --line-length 88 --check {}
+      continue-on-error: true
+
+    - name: Check lint results
+      run: |
+        if grep -q "would reformat" notebooks.txt; then
+          echo "Linting issues found. Run 'black' to auto-format the notebooks."
+          exit 1
+        else
+          echo "All notebooks are properly formatted."
+        fi

.github/workflows/run_nb.yml

@@ -0,0 +1,60 @@
+name: Run Notebooks
+
+on:
+  push:
+    branches:
+      - dev  # Change this to your repository's main branch
+  pull_request:
+    branches:
+      - dev
+  schedule:
+      - cron: "0 0 * * 0"  # Run every Sunday at midnight UTC (4 week interval)
+
+jobs:
+  build:
+    runs-on: ubuntu-latest
+    strategy:
+      matrix:
+        python-version: ["3.10", "3.11", "3.12"]
+
+    steps:
+    - name: Checkout code
+      uses: actions/checkout@v4
+
+    - name: Set up Python ${{ matrix.python-version }}
+      uses: actions/setup-python@v4
+      with:
+        python-version: ${{ matrix.python-version }}
+
+    # Testing matrix by printing the current Python version:
+    - name: Display Python version
+      run: python -c "import sys; print(sys.version)"
+
+    - name: Install dependencies
+      run: pip install jupyter nbconvert
+    - run: pip install -r requirements.txt   
+
+    - name: Find notebooks
+      id: find-notebooks
+      run: |
+        find . -name "*.ipynb" > notebooks.txt
+        cat notebooks.txt
+      shell: bash
+
+    - name: Execute notebooks
+      run: |
+        cat notebooks.txt | while read -r notebook; do
+          jupyter nbconvert --to notebook --execute --inplace "$notebook"
+        done
+      continue-on-error: false
+      shell: bash
+
+    - name: Check for errors
+      run: |
+        if grep "raise Exception(" *.ipynb; then
+          echo "Error found in notebook(s)."
+          exit 1
+        else
+          echo "No errors found in notebooks."
+        fi
+      shell: bash

dft/dft_windowing_tutorial/dft_eigensignals_columns.ipynb

@@ -89,9 +89,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python [conda env:mypy] *",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
-   "name": "conda-env-mypy-py"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
@@ -103,7 +103,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.6"
+   "version": "3.10.12"
   }
  },
  "nbformat": 4,

dft/dft_windowing_tutorial/dft_windowing_tutorial_graphics.ipynb

@@ -40,12 +40,13 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "import random as rd\n",
+    "\n",
     "import matplotlib.pyplot as plt\n",
-    "from mpl_toolkits.axes_grid1 import make_axes_locatable\n",
     "import numpy as np\n",
-    "import random as rd\n",
-    "from scipy.special import diric\n",
-    "import scipy.signal.windows as windows"
+    "import scipy.signal.windows as windows\n",
+    "from mpl_toolkits.axes_grid1 import make_axes_locatable\n",
+    "from scipy.special import diric"
    ]
   },
   {
@@ -1649,9 +1650,7 @@
    "cell_type": "code",
    "execution_count": null,
    "id": "3ecd3531",
-   "metadata": {
-    "scrolled": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "fig, ax = plt.subplots(nrows=1, ncols=1, figsize=(7, 4))\n",
@@ -1718,7 +1717,7 @@
     "ax1.grid(True)\n",
     "ax1.set_title(r\"$10\\mathrm{exp}\\left(\\frac{2\\pi}{8}\\cdot 2k\\right)$\")\n",
     "ax1.set_xlabel(\"$k$\")\n",
-    "ax1.set_ylabel(\"$\\Re\\{x_1[k]}$\")\n",
+    "ax1.set_ylabel(\"$\\Re\\{x_1[k]\\}$\")\n",
     "ax2.stem(k, np.real(x2), basefmt=\"C0\", markerfmt=\"none\")\n",
     "ax2.plot(k, np.real(x2), ls=\"none\", marker=\"o\", mec=\"C0\", mfc=\"C0\", ms=7, clip_on=False)\n",
     "ax2.set_xticks(np.arange(0, N, 2))\n",
@@ -2177,7 +2176,7 @@
     "ax1.set_ylim(-10, 10)\n",
     "ax1.set_title(r\"$10\\mathrm{exp}\\left(\\frac{2\\pi}{8}\\cdot 2k\\right)$\")\n",
     "ax1.set_xlabel(\"$k$\")\n",
-    "ax1.set_ylabel(\"$\\Re\\{x_1[k]}$\")\n",
+    "ax1.set_ylabel(\"$\\Re\\{x_1[k]\\}$\")\n",
     "ax2.stem(k, np.real(x2), basefmt=\"C0\", markerfmt=\"none\")\n",
     "ax2.plot(k, np.real(x2), ls=\"none\", marker=\"o\", mec=\"C0\", mfc=\"C0\", ms=7, clip_on=False)\n",
     "ax2.set_xticks(np.arange(0, N, 2))\n",
@@ -2369,9 +2368,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "mydsp",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
-   "name": "mydsp"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
@@ -2383,7 +2382,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.12"
+   "version": "3.10.12"
   }
  },
  "nbformat": 4,

dft/parametric_windows.ipynb

@@ -52,14 +52,14 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "import numpy as np\n",
     "import matplotlib.pyplot as plt\n",
+    "import numpy as np\n",
     "from matplotlib.patches import Circle\n",
     "from numpy.fft import fft, fftshift, ifft\n",
+    "from scipy.signal import tf2zpk\n",
     "\n",
     "# from scipy.fft import fft, fftshift, ifft\n",
-    "from scipy.signal.windows import chebwin, kaiser, dpss\n",
-    "from scipy.signal import tf2zpk"
+    "from scipy.signal.windows import chebwin, dpss, kaiser"
    ]
   },
   {
@@ -342,7 +342,7 @@
     "# how Slepian and the Kaiser-Bessel approximation converge, but never are exactly the same\n",
     "L = 1\n",
     "\n",
-    "M = np.int(2**6 * L)\n",
+    "M = int(2**6 * L)\n",
     "Nz = 2**6 * M  # zeropadding of window -> quasi-cont resolution of W for DTFT\n",
     "k = np.arange(M)\n",
     "bw = 2 * np.pi / (45 * L)  # for dpss\n",

requirements.txt

@@ -0,0 +1,6 @@
+numpy
+sympy
+scipy
+matplotlib
+ipykernel
+soundfile