Black fixes

Author: sichinaga

tutorials/tutorial1/tutorial-1-dmd.ipynb

@@ -35,6 +35,7 @@
    "outputs": [],
    "source": [
     "import warnings\n",
+    "\n",
     "warnings.filterwarnings(\"ignore\")\n",
     "\n",
     "import numpy as np\n",
@@ -74,9 +75,11 @@
     "def f1(x, t):\n",
     "    return 1.0 / np.cosh(x + 3) * np.cos(2.3 * t)\n",
     "\n",
+    "\n",
     "def f2(x, t):\n",
     "    return 2.0 / np.cosh(x) * np.tanh(x) * np.sin(2.8 * t)\n",
     "\n",
+    "\n",
     "nx = 65  # number of grid points along space dimension\n",
     "nt = 129  # number of grid points along time dimension\n",
     "\n",
@@ -267,7 +270,9 @@
     "\n",
     "# Print computed eigenvalues (frequencies are given by imaginary components).\n",
     "# Also plot the resulting data reconstruction.\n",
-    "print(f\"Frequencies (imaginary component): {np.round(delay_optdmd.eigs, decimals=3)}\")\n",
+    "print(\n",
+    "    f\"Frequencies (imaginary component): {np.round(delay_optdmd.eigs, decimals=3)}\"\n",
+    ")\n",
     "plt.title(\"Reconstructed Data\")\n",
     "plt.imshow(delay_optdmd.reconstructed_data.real)\n",
     "plt.show()\n",
@@ -437,12 +442,16 @@
     "# Imaginary + Conjugate: constrain to imaginary axis and as complex conjugates.\n",
     "# bopdmd = BOPDMD(eig_constraints={\"imag\", \"conjugate_pairs\"})\n",
     "\n",
-    "optdmd = BOPDMD(svd_rank=4, num_trials=0, eig_constraints={\"imag\", \"conjugate_pairs\"})\n",
+    "optdmd = BOPDMD(\n",
+    "    svd_rank=4, num_trials=0, eig_constraints={\"imag\", \"conjugate_pairs\"}\n",
+    ")\n",
     "delay_optdmd = hankel_preprocessing(optdmd, d=delays)\n",
     "delay_optdmd.fit(Xn.T, t=t[:num_t])\n",
     "plot_summary(delay_optdmd, d=delays)\n",
     "\n",
-    "print(f\"Frequencies (imaginary component): {np.round(delay_optdmd.eigs, decimals=3)}\")\n",
+    "print(\n",
+    "    f\"Frequencies (imaginary component): {np.round(delay_optdmd.eigs, decimals=3)}\"\n",
+    ")\n",
     "plt.title(\"Reconstructed Data\")\n",
     "plt.imshow(delay_optdmd.reconstructed_data.real)\n",
     "plt.show()\n",
@@ -516,7 +525,9 @@
     "delay_dmd.fit(Xn.T)\n",
     "plot_summary(delay_dmd, d=delays)\n",
     "\n",
-    "print(f\"Frequencies (imaginary component): {np.round(np.log(delay_dmd.eigs) / dt, decimals=3)}\")\n",
+    "print(\n",
+    "    f\"Frequencies (imaginary component): {np.round(np.log(delay_dmd.eigs) / dt, decimals=3)}\"\n",
+    ")\n",
     "plt.title(\"Reconstructed Data\")\n",
     "plt.imshow(delay_dmd.reconstructed_data.real)\n",
     "plt.show()\n",
@@ -593,7 +604,9 @@
     "dmd.fit(X.T)\n",
     "plot_summary(dmd)\n",
     "\n",
-    "print(f\"Frequencies (imaginary component): {np.round(np.log(dmd.eigs) / dt, decimals=3)}\")\n",
+    "print(\n",
+    "    f\"Frequencies (imaginary component): {np.round(np.log(dmd.eigs) / dt, decimals=3)}\"\n",
+    ")\n",
     "plt.title(\"Reconstructed Data\")\n",
     "plt.imshow(dmd.reconstructed_data.real)\n",
     "plt.show()\n",
@@ -658,7 +671,9 @@
     "delay_dmd.fit(X.T)\n",
     "plot_summary(delay_dmd, d=2)\n",
     "\n",
-    "print(f\"Frequencies (imaginary component): {np.round(np.log(delay_dmd.eigs) / dt, decimals=3)}\")\n",
+    "print(\n",
+    "    f\"Frequencies (imaginary component): {np.round(np.log(delay_dmd.eigs) / dt, decimals=3)}\"\n",
+    ")\n",
     "plt.title(\"Reconstructed Data\")\n",
     "plt.imshow(delay_dmd.reconstructed_data.real)\n",
     "plt.show()\n",