Merge pull request #472 from gdsfactory/pre-commit-ci-update-config

[pre-commit.ci] pre-commit autoupdate

Author: joamatab

.pre-commit-config.yaml

@@ -16,7 +16,7 @@ repos:
       - id: trailing-whitespace
 
   - repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: "v0.5.7"
+    rev: "v0.6.1"
     hooks:
       - id: ruff
       - id: ruff-format

notebooks/21_schematic_driven_layout_lumerical.ipynb

@@ -33,7 +33,6 @@
     "from gplugins.spice.spice_to_yaml import spice_to_yaml\n",
     "from gplugins.spice.tests.test_interconnect import spice_netlist_interconnect\n",
     "\n",
-    "\n",
     "netlist_path = GDSDIR_TEMP / \"test_interconnect.sp\"\n",
     "netlist_path.write_text(spice_netlist_interconnect)\n",
     "picyaml_path = GDSDIR_TEMP / \"test_interconnect.sp\"\n",

notebooks/elmer_01_electrostatic.ipynb

@@ -37,9 +37,7 @@
    },
    "outputs": [],
    "source": [
-    "import os\n",
     "from math import inf\n",
-    "from pathlib import Path\n",
     "\n",
     "import gdsfactory as gf\n",
     "import pyvista as pv\n",
@@ -49,7 +47,6 @@
     "from gdsfactory.generic_tech import LAYER, get_generic_pdk\n",
     "from gdsfactory.technology import LayerStack\n",
     "from gdsfactory.technology.layer_stack import LayerLevel\n",
-    "from IPython.display import display\n",
     "\n",
     "from gplugins.elmer import run_capacitive_simulation_elmer\n",
     "\n",

notebooks/fdtdz_01.ipynb

@@ -76,7 +76,7 @@
     "c = gf.Component()\n",
     "waveguide_rib = c << gf.components.straight(length=length, cross_section=rib)\n",
     "nitride_feature = c << gf.components.circle(radius=2, layer=LAYER.WGN)\n",
-    "nitride_feature.dx= 5\n",
+    "nitride_feature.dx = 5\n",
     "padding = c << gf.components.bbox(\n",
     "    waveguide_rib.bbox, top=2, bottom=2, layer=LAYER.WAFER\n",
     ")\n",

notebooks/femwell_01_modes.ipynb

@@ -66,13 +66,13 @@
     "    }\n",
     ")\n",
     "\n",
-    "filtered_layer_stack.layers[\"core\"].thickness = (\n",
-    "    0.22  # Perturb the layer_stack before simulating\n",
-    ")\n",
+    "filtered_layer_stack.layers[\n",
+    "    \"core\"\n",
+    "].thickness = 0.22  # Perturb the layer_stack before simulating\n",
     "\n",
-    "filtered_layer_stack.layers[\"slab90\"].thickness = (\n",
-    "    0.09  # Perturb the layer_stack before simulating\n",
-    ")\n",
+    "filtered_layer_stack.layers[\n",
+    "    \"slab90\"\n",
+    "].thickness = 0.09  # Perturb the layer_stack before simulating\n",
     "\n",
     "resolutions = {\n",
     "    \"core\": {\"resolution\": 0.02, \"distance\": 1, \"SizeMax\": 0.2},\n",

notebooks/lumerical_1_fdtd_sparameters.ipynb

@@ -414,7 +414,6 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "\n",
     "c = gf.components.straight()\n",
     "s = sim.write_sparameters_lumerical(c, layer_stack=layer_stack, run=False, session=s)"
    ]

notebooks/meep_01_sparameters.ipynb

@@ -1001,7 +1001,7 @@
     "import gdsfactory as gf\n",
     "import meep as mp\n",
     "\n",
-    "from gplugins.gmeep.get_simulation import get_simulation\n"
+    "from gplugins.gmeep.get_simulation import get_simulation"
    ]
   },
   {
@@ -1030,8 +1030,6 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "import matplotlib.pyplot as plt\n",
-    "\n",
     "component = gf.add_padding_container(\n",
     "    c,\n",
     "    default=0,\n",
@@ -1060,7 +1058,7 @@
    "outputs": [],
    "source": [
     "sim.init_sim()\n",
-    "sim.solve_cw(1e-6, 10000, 10)\n"
+    "sim.solve_cw(1e-6, 10000, 10)"
    ]
   },
   {
@@ -1084,7 +1082,6 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "\n",
     "import numpy as np\n",
     "\n",
     "eps_data = sim.get_array(vol=nonpml_vol, component=mp.Dielectric)\n",
@@ -1112,7 +1109,6 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "\n",
     "sim.run(until=400)"
    ]
   },

notebooks/path_length_analysis.ipynb

@@ -23,8 +23,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "import gplugins.path_length_analysis.path_length_analysis_from_gds as pl\n",
-    "import gdsfactory as gf"
+    "import gdsfactory as gf\n",
+    "\n",
+    "import gplugins.path_length_analysis.path_length_analysis_from_gds as pl"
    ]
   },
   {

notebooks/sax_01_sax.ipynb

@@ -44,7 +44,7 @@
     "from rich.logging import RichHandler\n",
     "from scipy import constants\n",
     "from sklearn.linear_model import LinearRegression\n",
-    "from tqdm.notebook import trange, tqdm\n",
+    "from tqdm.notebook import tqdm, trange\n",
     "\n",
     "import gplugins.sax as gs\n",
     "import gplugins.tidy3d as gt\n",
@@ -788,7 +788,7 @@
     "    mmi_in = gf.components.mmi1x2()\n",
     "    mmi_out = gf.components.mmi2x2()\n",
     "    bend = gf.components.bend_euler()\n",
-    "    half_delay_straight = gf.components.straight(length=delta_length/2)\n",
+    "    half_delay_straight = gf.components.straight(length=delta_length / 2)\n",
     "\n",
     "    # references\n",
     "    mmi_in = c.add_ref(mmi_in, name=\"mmi_in\")\n",
@@ -1061,17 +1061,17 @@
     "    fn = f\"{wl=:.2f}-{n_box=:.2f}-{n_clad=:.2f}-{n_core=:.2f}-{t_slab=:.3f}-{t_soi=:.3f}-{w_core=:.3f}-{du=:.3f}-{n_modes=}.json\"\n",
     "    path = os.path.join(cache_path, fn)\n",
     "    if not replace_cached and os.path.exists(path):\n",
-    "        return [mw.Mode.parse_obj(mode) for mode in json.load(open(path, \"r\"))]\n",
+    "        return [mw.Mode.parse_obj(mode) for mode in json.load(open(path))]\n",
     "\n",
     "    # fmt: off\n",
     "    m_core = mw.SampledMaterial(name=\"slab\", n=np.asarray([n_core, n_core]), params={\"wl\": np.asarray([1.0, 2.0])}, meta={\"color\": (0.9, 0, 0, 0.9)})\n",
-    "    m_clad = mw.SampledMaterial(name=\"clad\", n=np.asarray([n_clad, n_clad]), params={\"wl\": np.asarray([1.0, 2.0])}) \n",
+    "    m_clad = mw.SampledMaterial(name=\"clad\", n=np.asarray([n_clad, n_clad]), params={\"wl\": np.asarray([1.0, 2.0])})\n",
     "    m_box = mw.SampledMaterial(name=\"box\", n=np.asarray([n_box, n_box]), params={\"wl\": np.asarray([1.0, 2.0])})\n",
     "    box = mw.Structure(material=m_box, geometry=mw.Box(x_min=- 2 * w_core - delta, x_max= 2 * w_core + delta, y_min=- 2 * t_soi - delta, y_max=0.0, z_min=0.0, z_max=length))\n",
     "    slab = mw.Structure(material=m_core, geometry=mw.Box(x_min=-2 * w_core - delta, x_max=2 * w_core + delta, y_min=0.0, y_max=t_slab, z_min=0.0, z_max=length))\n",
     "    clad = mw.Structure(material=m_clad, geometry=mw.Box(x_min=-2 * w_core - delta, x_max=2 * w_core + delta, y_min=0, y_max=3 * t_soi + delta, z_min=0.0, z_max=length))\n",
     "    core = mw.Structure(material=m_core, geometry=mw.Box(x_min=-w_core / 2, x_max=w_core / 2, y_min=0.0, y_max=t_soi, z_min=0.0, z_max=length))\n",
-    "    \n",
+    "\n",
     "    cell = mw.Cell(structures=[box, clad, slab, core], mesh=mw.Mesh2D( x=np.arange(-2*w_core, 2*w_core, du), y=np.arange(-2*t_soi, 3*t_soi, du), ), z_min=0.0, z_max=10.0)\n",
     "    cross_section = mw.CrossSection.from_cell(cell=cell, env=env)\n",
     "    modes = mw.compute_modes(cross_section, num_modes=n_modes)\n",

notebooks/tcad_02_analytical_process.ipynb

@@ -30,7 +30,7 @@
     "import matplotlib.pyplot as plt\n",
     "import numpy as np\n",
     "\n",
-    "from gplugins.process.implant_tables import *\n"
+    "from gplugins.process.implant_tables import *"
    ]
   },
   {