Run ruff.

qsiprep/utils/shm.py

@@ -877,15 +877,15 @@ def calculate_max_order(n_coeffs):
 
     Notes
     -----
-    The calculation in this function proceeds according to the following
-    logic:
+    The calculation in this function proceeds according to the following logic.
+
     .. math::
        n = \frac{1}{2} (L+1) (L+2)
        \rarrow 2n = L^2 + 3L + 2
        \rarrow L^2 + 3L + 2 - 2n = 0
        \rarrow L^2 + 3L + 2(1-n) = 0
-       \rarrow L_{1,2} = \frac{-3 \pm \sqrt{9 - 8 (1-n)}}{2}
-       \rarrow L{1,2} = \frac{-3 \pm \sqrt{1 + 8n}}{2}
+       \rarrow L_{1,2} = \frac{-3 \\pm \\sqrt{9 - 8 (1-n)}}{2}
+       \rarrow L{1,2} = \frac{-3 \\pm \\sqrt{1 + 8n}}{2}
 
     Finally, the positive value is chosen between the two options.
     """
@@ -932,9 +932,11 @@ def anisotropic_power(sh_coeffs, norm_factor=0.00001, power=2, non_negative=True
     Notes
     ----------
     Calculate AP image based on a IxJxKxC SH coefficient matrix based on the
-    equation:
+    following equation.
+
     .. math::
-        AP = \sum_{l=2,4,6,...}{\frac{1}{2l+1} \sum_{m=-l}^l{|a_{l,m}|^n}}
+
+        AP = \\sum_{l=2,4,6,...}{\\frac{1}{2l+1} \\sum_{m=-l}^l{|a_{l,m}|^n}}
 
     Where the last dimension, C, is made of a flattened array of $l$x$m$
     coefficients, where $l$ are the SH orders, and $m = 2l+1$,