Black reformat on processing

swash/processing/pa/PUV.py

@@ -70,7 +70,9 @@ def PUV_dam(u, p, h, fs, zmesP, zmesU):
             ccs.append(cs)
             cccp.append(ccp)
             # calcul des amplitudes des ondes incidentes a partir de uhoriz  et p
-            aincident13.append(0.5 * np.sqrt(
+            aincident13.append(
+                0.5
+                * np.sqrt(
                     a1 * a1 / (cc * cc)
                     + a3
                     * a3
@@ -79,9 +81,18 @@ def PUV_dam(u, p, h, fs, zmesP, zmesU):
                     * xf[ii]
                     * xf[ii]
                     / (omega[ii] * omega[ii] * ccp * ccp)
-                + 2 * a1 * a3 * g * k_xb[ii] * np.cos(phi3 - phi1) / (cc * ccp * omega[ii])
+                    + 2
-            ))
+                    * a1
-            areflechi13.append(0.5 * np.sqrt(
+                    * a3
+                    * g
+                    * k_xb[ii]
+                    * np.cos(phi3 - phi1)
+                    / (cc * ccp * omega[ii])
+                )
+            )
+            areflechi13.append(
+                0.5
+                * np.sqrt(
                     a1 * a1 / (cc * cc)
                     + a3
                     * a3
@@ -90,8 +101,15 @@ def PUV_dam(u, p, h, fs, zmesP, zmesU):
                     * k_xb[ii]
                     * k_xb[ii]
                     / (omega[ii] * omega[ii] * ccp * ccp)
-                - 2 * a1 * a3 * g * xf[ii] * np.cos(phi3 - phi1) / (cc * ccp * omega[ii])
+                    - 2
-            ))
+                    * a1
+                    * a3
+                    * g
+                    * xf[ii]
+                    * np.cos(phi3 - phi1)
+                    / (cc * ccp * omega[ii])
+                )
+            )
             cv = g * xf[ii] / (omega[ii] * ccp)
             cp = 1 / cc
             aprog.append(a3 / (g * xf[ii] / (omega[ii] * ccp)))

swash/processing/r_test.py

@@ -40,7 +40,9 @@ for r in np.arange(0, 1.1, 0.1):
         *Rn,
         c="#ff6600",
     )
-    axr.annotate(f"{r=:.1f}", (Rn[0][0], Rn[1][0]), bbox={"boxstyle": "square", "facecolor": "w"})
+    axr.annotate(
+        f"{r=:.1f}", (Rn[0][0], Rn[1][0]), bbox={"boxstyle": "square", "facecolor": "w"}
+    )
 axr.grid()
 axr.autoscale(True, "x", tight=True)
 axr.set(ylim=(0, 1), ylabel="R", xlabel="f")

swash/processing/read_swash.py

@@ -7,6 +7,7 @@ import numpy as np
 
 log = logging.getLogger("read_swash")
 
+
 class ReadSwash:
     def __init__(self):
         self._n_x = None