DOC: Update ExpandModel.inputs.model_formula docstring to suppress warning

Author: effigies

niworkflows/interfaces/confounds.py

@@ -35,22 +35,25 @@ class _ExpandModelInputSpec(BaseInterfaceInputSpec):
 a single variable (e.g., (x)^2, not x^2).
 
 Examples:
-* rps + wm + csf + gsr : 9-parameter model. rps denotes realignment
-  parameters, wm denotes mean white matter signal, csf denotes mean
-  cerebrospinal fluid signal, and gsr denotes mean global signal.
-* (dd1(rps + wm + csf + gsr))^^2 : 36-parameter expansion.
-  rps + wm + csf + gsr denotes that realignment parameters and mean
-  WM, CSF, and global signals should be included. dd1 denotes that
-  these signals should be augmented with their first temporal
-  derivatives. ^^2 denotes that the original signals and temporal
-  derivatives should be augmented with quadratic expansions.
-* (dd1(rps))^^2 : 24-parameter expansion. rps denotes that
-  realignment parameters should be included. dd1 and ^^2 denote
-  temporal derivative and quadratic expansions as above.
-* (dd1(rps + wm + csf + gsr))^^2 + others : generate all expansion
-  terms necessary for a 36-parameter model as above, and
-  concatenate those expansion terms to all other regressor columns
-  in the confounds file.""",
+
+  * rps + wm + csf + gsr : 9-parameter model. rps denotes realignment
+    parameters, wm denotes mean white matter signal, csf denotes mean
+    cerebrospinal fluid signal, and gsr denotes mean global signal.
+  * (dd1(rps + wm + csf + gsr))^^2 : 36-parameter expansion.
+    rps + wm + csf + gsr denotes that realignment parameters and mean
+    WM, CSF, and global signals should be included. dd1 denotes that
+    these signals should be augmented with their first temporal
+    derivatives. ^^2 denotes that the original signals and temporal
+    derivatives should be augmented with quadratic expansions.
+  * (dd1(rps))^^2 : 24-parameter expansion. rps denotes that
+    realignment parameters should be included. dd1 and ^^2 denote
+    temporal derivative and quadratic expansions as above.
+  * (dd1(rps + wm + csf + gsr))^^2 + others : generate all expansion
+    terms necessary for a 36-parameter model as above, and
+    concatenate those expansion terms to all other regressor columns
+    in the confounds file.
+
+""",
     )
     output_file = File(desc="Output path")