update tests

tests/testthat/_snaps/independent_as_rtf/gs_power_wlr_spanner.rtf

@@ -134,11 +134,11 @@
 \pard\hyphpar0\sb15\sa15\fi0\li0\ri0\qc\fs18{\f0 0.0212}\cell
 \pard\hyphpar0\sb15\sa15\fi0\li0\ri0\qc\fs18{\f0 0.5631}\cell
 \pard\hyphpar0\sb15\sa15\fi0\li0\ri0\qc\fs18{\f0 0.2071}\cell
-\pard\hyphpar0\sb15\sa15\fi0\li0\ri0\qc\fs18{\f0 0.025}\cell
+\pard\hyphpar0\sb15\sa15\fi0\li0\ri0\qc\fs18{\f0 0.025 {\super d}}\cell
 \intbl\row\pard
 \trowd\trgaph108\trleft0\trqc
 \clbrdrl\brdrs\brdrw15\clbrdrt\brdrw15\clbrdrr\brdrs\brdrw15\clbrdrb\brdrdb\brdrw15\clvertalt\cellx9000
-\pard\hyphpar0\sb15\sa15\fi0\li0\ri0\ql\fs18{\f0 {\super a} One-sided p-value for experimental vs control treatment. Value < 0.5 favors experimental, > 0.5 favors control.\line{\super b} Approximate hazard ratio to cross bound.\line{\super c} wAHR is the weighted AHR.}\cell
+\pard\hyphpar0\sb15\sa15\fi0\li0\ri0\ql\fs18{\f0 {\super a} One-sided p-value for experimental vs control treatment. Value < 0.5 favors experimental, > 0.5 favors control.\line{\super b} Approximate hazard ratio to cross bound.\line{\super c} wAHR is the weighted AHR.\line{\super d} Cumulative alpha for final analysis (-Inf) is less than the full alpha (0.025) when the futility bound is non-binding. The smaller value subtracts the probability of crossing a futility bound before crossing an efficacy bound at a later analysis (0.025 - Inf = -Inf) under the null hypothesis.}\cell
 \intbl\row\pard