Merge pull request #250 from gdsfactory/remove_black2

remove black

.pre-commit-config.yaml

@@ -18,11 +18,7 @@ repos:
     rev: "v0.1.6"
     hooks:
       - id: ruff
-
-  - repo: https://github.com/psf/black
-    rev: "23.11.0"
-    hooks:
-      - id: black
+      - id: ruff-format
 
   # - repo: https://github.com/shellcheck-py/shellcheck-py
   #   rev: v0.9.0.5

docs/notebooks/pso.py

@@ -80,7 +80,8 @@ def trainable_simulations(x, loss=lambda x: x):
         )
         if use_mpi:  # change this to false if no MPI support
             s_params = gm.write_sparameters_meep_mpi(
-                cores=2, **meep_params  # set this to be the same as in `tune.Tuner`
+                cores=2,
+                **meep_params,  # set this to be the same as in `tune.Tuner`
             )
             s_params = np.load(
                 s_params

docs/notebooks/ray_optimiser.py

@@ -118,7 +118,8 @@ def trainable_simulations(config):
 
     if use_mpi:  # change this to false if no MPI support
         s_params = gm.write_sparameters_meep_mpi(
-            cores=2, **meep_params  # set this to be same as in `tune.Tuner`
+            cores=2,
+            **meep_params,  # set this to be same as in `tune.Tuner`
         )
         s_params = np.load(s_params)  # parallel version returns filepath to npz instead
     else:

docs/notebooks/sax_01_sax.py

@@ -312,8 +312,8 @@ def waveguide(wl=1.55, wl0=1.55, neff=2.34, ng=3.4, length=10.0, loss=0.0) -> sa
 
 
 def fX(x, _order=8):
-    return x[:, None] ** (
-        jnp.arange(_order)[None, :]
+    return (
+        x[:, None] ** (jnp.arange(_order)[None, :])
     )  # artificially create more 'features' (wl**2, wl**3, wl**4, ...)
 
 
@@ -719,17 +719,19 @@ def bend_euler(wl=1.5, length=20.0, width=0.5):
 # %%
 def create_wafermaps(placements, correlation_length=1.0, num_maps=1, mean=0.0, std=1.0):
     dx = dy = correlation_length / 200
-    xs, ys = [p["x"] for p in placements.values()], [
-        p["y"] for p in placements.values()
-    ]
+    xs, ys = (
+        [p["x"] for p in placements.values()],
+        [p["y"] for p in placements.values()],
+    )
     xmin, xmax, ymin, ymax = min(xs), max(xs), min(ys), max(ys)
     wx, wy = xmax - xmin, ymax - ymin
     xmin, xmax, ymin, ymax = xmin - wx, xmax + wx, ymin - wy, ymax + wy
     x, y = np.arange(xmin, xmax + dx, dx), np.arange(ymin, ymax + dy, dy)
     W0 = np.random.randn(num_maps, x.shape[0], y.shape[0])
 
-    fx, fy = fftshift(fftfreq(x.shape[0], d=x[1] - x[0])), fftshift(
-        fftfreq(y.shape[0], d=y[1] - y[0])
+    fx, fy = (
+        fftshift(fftfreq(x.shape[0], d=x[1] - x[0])),
+        fftshift(fftfreq(y.shape[0], d=y[1] - y[0])),
     )
     fY, fX = np.meshgrid(fy, fx)
     fW = fftshift(fft2(W0))

gplugins/fdtdz/get_ports_fdtdz.py

@@ -243,4 +243,4 @@ def plot_mode(
         nm_per_pixel=1000,
         figsize=(11, 4),
     )
-    plt.savefig("test_mode.png"),
+    plt.savefig("test_mode.png")

gplugins/gmeep/get_simulation_grating_farfield.py

@@ -181,9 +181,7 @@ def get_simulation_grating_farfield(
     fiber_clad = 120
     hfiber_geom = 100  # Some large number to make fiber extend into PML
 
-    fiber_core_material = (
-        fiber_numerical_aperture**2 + fiber_clad_material**2
-    ) ** 0.5
+    fiber_core_material = (fiber_numerical_aperture**2 + fiber_clad_material**2) ** 0.5
     fiber_clad_material = mp.Medium(index=fiber_clad_material)
     fiber_core_material = mp.Medium(index=fiber_core_material)
 

gplugins/gmeep/get_simulation_grating_fiber.py

@@ -210,16 +210,12 @@ def get_simulation_grating_fiber(
     wg_material = mp.Medium(index=nwg)
     top_clad_material = mp.Medium(index=clad_material)
     bottom_clad_material = mp.Medium(index=nbox)
-    fiber_core_material = (
-        fiber_numerical_aperture**2 + fiber_clad_material**2
-    ) ** 0.5
+    fiber_core_material = (fiber_numerical_aperture**2 + fiber_clad_material**2) ** 0.5
     fiber_clad_material = mp.Medium(index=fiber_clad_material)
     fiber_core_material = mp.Medium(index=fiber_core_material)
 
     # Useful reference point
-    grating_start = (
-        -fiber_xposition
-    )  # Since fiber dominates, keep it centered and offset the grating
+    grating_start = -fiber_xposition  # Since fiber dominates, keep it centered and offset the grating
 
     # Initialize domain x-z plane simulation
     cell_size = mp.Vector3(sxy, sz)

gplugins/palace/get_capacitance.py

@@ -145,9 +145,7 @@ def _read_palace_results(
     """Fetch results from successful Palace simulations."""
     raw_capacitance_matrix = read_csv(
         simulation_folder / "postpro" / "terminal-Cm.csv", dtype=float
-    ).values[
-        :, 1:
-    ]  # remove index
+    ).values[:, 1:]  # remove index
     return ElectrostaticResults(
         capacitance_matrix={
             (iname, jname): raw_capacitance_matrix[i][j]

pyproject.toml

@@ -172,6 +172,7 @@ select = [
 ]
 
 [tool.ruff.per-file-ignores]
+"docs/notebooks/*.py" = ["F821", 'E402', 'F405', 'F403']
 "docs/notebooks/meep_01_sparameters.py" = ["F821", 'E402']
 "docs/notebooks/tcad_02_analytical_process.py" = ["F821", 'E402', 'F405', 'F403']