whenxuan: black init

Author: wwhenxuan

README.md

@@ -106,7 +106,7 @@ plot_IMFs_amplitude_spectra(IMFs, smooth="exp")   # use exp smooth
 | [`HVD`](https://github.com/wwhenxuan/PySDKit/blob/main/pysdkit/_tid/hvd.py) (Hilbert Vibration Decomposition) | [[paper]](https://www.sciencedirect.com/science/article/pii/S0022460X06001556) | [[code]](https://www.mathworks.com/matlabcentral/fileexchange/178804-hilbert-vibration-decomposition?s_tid=FX_rc1_behav) |   ✔️   |
 | [`ITD`](https://github.com/wwhenxuan/PySDKit/blob/main/pysdkit/_tid/itd.py) (Intrinsic Time-Scale Decomposition) | [[paper]](https://royalsocietypublishing.org/doi/10.1098/rspa.2006.1761) | [[code]](https://www.mathworks.com/matlabcentral/fileexchange/69380-intrinsic-time-scale-decomposition-itd) |   ✔️   |
 | [`ALIF`](https://github.com/wwhenxuan/PySDKit/blob/main/pysdkit/_tid/alif.py) (Adaptive Local Iterative Filtering) |          [[paper]](https://arxiv.org/abs/1411.6051)          |           [[code]](https://github.com/Cicone/ALIF)           |   ✔️   |
-| [`APMD`](https://github.com/wwhenxuan/PySDKit/blob/main/pysdkit/_apmd/apmd.py) (Adaptive Polymorphic Mode Decomposition) |     [[paper]](https://doi.org/10.1016/j.dsp.2024.104913)     | [[code]](https://github.com/wwhenxuan/PySDKit/blob/main/pysdkit/_apmd/apmd.py) |   ✔️   |
+| [`APMD`](https://github.com/wwhenxuan/PySDKit/blob/main/pysdkit/_imd/apmd.py) (Adaptive Polymorphic Mode Decomposition) |     [[paper]](https://doi.org/10.1016/j.dsp.2024.104913)     | [[code]](https://github.com/wwhenxuan/PySDKit/blob/main/pysdkit/_imd/apmd.py) |   ✔️   |
 | [`LMD`](https://github.com/wwhenxuan/PySDKit/blob/main/pysdkit/_lmd/lmd.py) (Local Mean Decomposition) | [[paper]](https://www.sciencedirect.com/science/article/abs/pii/S1051200418308133?via%3Dihub) | [[code]](https://github.com/shownlin/PyLMD/blob/master/PyLMD/LMD.py) |   ✔️   |
 | [`RLMD`](https://github.com/wwhenxuan/PySDKit/blob/main/pysdkit/_lmd/rlmd.py) (Robust Local Mean Decomposition) | [[paper]](https://www.sciencedirect.com/science/article/abs/pii/S0888327017301619) | [[code]](https://www.mathworks.com/matlabcentral/fileexchange/66935-robust-local-mean-decomposition-rlmd) |   ✔️   |
 | [`FMD`](https://github.com/wwhenxuan/PySDKit/blob/main/pysdkit/_fmd/fmd.py) (Feature Mode Decomposition) |   [[paper]](https://ieeexplore.ieee.org/document/9732251)    | [[code]](https://www.mathworks.com/matlabcentral/fileexchange/108099-feature-mode-decomposition-fmd) |   ✔️   |

examples/data_generator.ipynb

@@ -63,7 +63,7 @@
     "\n",
     "# Create a simple test case and visualize it\n",
     "time, signal = test_emd()\n",
-    "fig = plot_signal(time, signal)\n"
+    "fig = plot_signal(time, signal)"
    ]
   },
   {

examples/demo.ipynb

@@ -26,7 +26,7 @@
     "import numpy as np\n",
     "from pysdkit import EMD\n",
     "from pysdkit.data import test_emd\n",
-    "from pysdkit.plot import plot_IMFs, plot_signal\n"
+    "from pysdkit.plot import plot_IMFs, plot_signal"
    ],
    "outputs": [],
    "execution_count": 1
@@ -137,6 +137,7 @@
     "# load new signal\n",
     "from pathlib import Path\n",
     "\n",
+    "\n",
     "def _find_data_file(name: str) -> Path:\n",
     "    cwd = Path.cwd().resolve()\n",
     "    for base in [cwd, *cwd.parents]:\n",
@@ -145,14 +146,15 @@
     "                return cand\n",
     "    raise FileNotFoundError(name)\n",
     "\n",
+    "\n",
     "signal = np.load(_find_data_file(\"example.npy\"))\n",
     "\n",
     "# use variational mode decomposition\n",
     "vmd = VMD(alpha=500, K=3, tau=0.0, tol=1e-9)\n",
     "IMFs = vmd.fit_transform(signal=signal)\n",
     "print(IMFs.shape)\n",
     "\n",
-    "vmd.plot_IMFs(save_figure=True, dpi=600)\n"
+    "vmd.plot_IMFs(save_figure=True, dpi=600)"
    ],
    "outputs": [
     {

examples/emd/emd.ipynb

@@ -175,7 +175,7 @@
     "        \"L\": L,\n",
     "        \"m\": m,\n",
     "        \"h_new\": h_new,\n",
-    "    }\n"
+    "    }"
    ]
   },
   {

examples/emd/emd_denoising.ipynb

@@ -235,7 +235,7 @@
     "        \"n_noise_imfs\": n_noise_imfs,\n",
     "        \"sigma1\": sigma1,\n",
     "        \"recon\": recon,\n",
-    "    }\n"
+    "    }"
    ]
   },
   {

examples/emd/emd_forecasting.ipynb

@@ -206,7 +206,7 @@
     "        component_forecasts=comp_forecasts,\n",
     "        imfs=imfs_arr,\n",
     "        residue=residue,\n",
-    "    )\n"
+    "    )"
    ]
   },
   {

examples/emd/hht.ipynb

@@ -154,7 +154,7 @@
     "axs[1, 1].set_ylabel(\"Imag\")\n",
     "axs[1, 1].set_title(\"Complex plane\")\n",
     "plt.tight_layout()\n",
-    "plt.show()\n"
+    "plt.show()"
    ]
   },
   {

examples/emd_variants/ceemdan.ipynb

@@ -72,7 +72,7 @@
     "from pysdkit.data import test_emd\n",
     "from pysdkit.plot import plot_IMFs, plot_IMFs_amplitude_spectra\n",
     "\n",
-    "print(CEEMDAN())\n"
+    "print(CEEMDAN())"
    ]
   },
   {

examples/emd_variants/eemd.ipynb

@@ -75,7 +75,7 @@
     "from pysdkit.data import test_emd\n",
     "from pysdkit.plot import plot_IMFs, plot_IMFs_amplitude_spectra\n",
     "\n",
-    "print(EEMD())\n"
+    "print(EEMD())"
    ]
   },
   {

examples/emd_variants/esmd.ipynb

@@ -59,7 +59,7 @@
     "from pysdkit import ESMD, esmd\n",
     "from pysdkit._emd.esmd import make_esmd_example3\n",
     "\n",
-    "plt.rcParams.update({\"figure.dpi\": 120, \"axes.grid\": True, \"grid.alpha\": 0.3})\n"
+    "plt.rcParams.update({\"figure.dpi\": 120, \"axes.grid\": True, \"grid.alpha\": 0.3})"
    ]
   },
   {