fix linting

Author: CosmoMatt

s2fft/precompute_transforms/custom_ops.py

@@ -38,7 +38,9 @@ def wigner_subset_to_s2(
 
     """
     if sampling.lower() not in ["mw", "mwss"]:
-        raise ValueError(f"Fourier-Wigner algorithm does not support {sampling} sampling.")
+        raise ValueError(
+            f"Fourier-Wigner algorithm does not support {sampling} sampling."
+        )
 
     # EXTRACT VARIOUS PRECOMPUTES
     Delta, _ = DW
@@ -55,7 +57,9 @@ def wigner_subset_to_s2(
     n = -spins
 
     # Calculate fmna = i^(n-m)\sum_L Delta^l_am Delta^l_an f^l_mn(2l+1)/(8pi^2)
-    x = np.zeros((flmn.shape[0], n_dim, xnlm_size, xnlm_size, flmn.shape[-1]), dtype=flmn.dtype)
+    x = np.zeros(
+        (flmn.shape[0], n_dim, xnlm_size, xnlm_size, flmn.shape[-1]), dtype=flmn.dtype
+    )
     x[:, :, m_offset:, m_offset:, :] = np.einsum(
         "bnlmc,lam,lan,l->bnamc",
         flmn,
@@ -65,7 +69,9 @@ def wigner_subset_to_s2(
     )
 
     # APPLY SIGN FUNCTION AND PHASE SHIFT
-    x = np.einsum("bnamc,m,n,a->bnamc", x, 1j ** (-m), 1j ** (n), np.exp(1j * m * theta0))
+    x = np.einsum(
+        "bnamc,m,n,a->bnamc", x, 1j ** (-m), 1j ** (n), np.exp(1j * m * theta0)
+    )
 
     # IFFT OVER THETA AND PHI
     x = np.fft.ifftshift(x, axes=(-3, -2))
@@ -106,7 +112,9 @@ def wigner_subset_to_s2_jax(
 
     """
     if sampling.lower() not in ["mw", "mwss"]:
-        raise ValueError(f"Fourier-Wigner algorithm does not support {sampling} sampling.")
+        raise ValueError(
+            f"Fourier-Wigner algorithm does not support {sampling} sampling."
+        )
 
     # EXTRACT VARIOUS PRECOMPUTES
     Delta, _ = DW
@@ -123,7 +131,9 @@ def wigner_subset_to_s2_jax(
     n = -spins
 
     # Calculate fmna = i^(n-m)\sum_L Delta^l_am Delta^l_an f^l_mn(2l+1)/(8pi^2)
-    x = jnp.zeros((flmn.shape[0], n_dim, xnlm_size, xnlm_size, flmn.shape[-1]), dtype=flmn.dtype)
+    x = jnp.zeros(
+        (flmn.shape[0], n_dim, xnlm_size, xnlm_size, flmn.shape[-1]), dtype=flmn.dtype
+    )
     x = x.at[:, :, m_offset:, m_offset:, :].set(
         jnp.einsum(
             "bnlmc,lam,lan,l->bnamc",
@@ -135,7 +145,9 @@ def wigner_subset_to_s2_jax(
     )
 
     # APPLY SIGN FUNCTION AND PHASE SHIFT
-    x = jnp.einsum("bnamc,m,n,a->bnamc", x, 1j ** (-m), 1j ** (n), jnp.exp(1j * m * theta0))
+    x = jnp.einsum(
+        "bnamc,m,n,a->bnamc", x, 1j ** (-m), 1j ** (n), jnp.exp(1j * m * theta0)
+    )
 
     # IFFT OVER THETA AND PHI
     x = jnp.fft.ifftshift(x, axes=(-3, -2))
@@ -258,7 +270,9 @@ def s2_to_wigner_subset(
 
     """
     if sampling.lower() not in ["mw", "mwss"]:
-        raise ValueError(f"Fourier-Wigner algorithm does not support {sampling} sampling.")
+        raise ValueError(
+            f"Fourier-Wigner algorithm does not support {sampling} sampling."
+        )
 
     # EXTRACT VARIOUS PRECOMPUTES
     Delta, Quads = DW
@@ -342,7 +356,9 @@ def s2_to_wigner_subset_jax(
 
     """
     if sampling.lower() not in ["mw", "mwss"]:
-        raise ValueError(f"Fourier-Wigner algorithm does not support {sampling} sampling.")
+        raise ValueError(
+            f"Fourier-Wigner algorithm does not support {sampling} sampling."
+        )
 
     # EXTRACT VARIOUS PRECOMPUTES
     Delta, Quads = DW