BLACK: lint

rateslib/calendars.py

@@ -1152,19 +1152,27 @@ def _dcf_actacticma(
         # roll is used here to roll a negative months forward eg, 30 sep minus 6M = 30/31 March.
         if end == termination:  # stub is a BACK stub:
             fwd_end_0, fwd_end_1, fraction = start, start, -1.0
-            while end > fwd_end_1:  # Handle Long Stubs which require repeated periods, and Zero frequencies.
+            while (
+                end > fwd_end_1
+            ):  # Handle Long Stubs which require repeated periods, and Zero frequencies.
                 fwd_end_0 = fwd_end_1
                 fraction += 1.0
-                fwd_end_1 = _add_months(start, (int(fraction) + 1) * frequency_months, "NONE", calendar, roll)
+                fwd_end_1 = _add_months(
+                    start, (int(fraction) + 1) * frequency_months, "NONE", calendar, roll
+                )
 
             fraction += (end - fwd_end_0) / (fwd_end_1 - fwd_end_0)
             return fraction * frequency_months / 12.0
         else:  # stub is a FRONT stub
             prev_start_0, prev_start_1, fraction = end, end, -1.0
-            while start < prev_start_1:  # Handle Long Stubs which require repeated periods, and Zero frequencies.
+            while (
+                start < prev_start_1
+            ):  # Handle Long Stubs which require repeated periods, and Zero frequencies.
                 prev_start_0 = prev_start_1
                 fraction += 1.0
-                prev_start_1 = _add_months(end, -(int(fraction) + 1) * frequency_months, "NONE", calendar, roll)
+                prev_start_1 = _add_months(
+                    end, -(int(fraction) + 1) * frequency_months, "NONE", calendar, roll
+                )
 
             fraction += (prev_start_0 - start) / (prev_start_0 - prev_start_1)
             return fraction * frequency_months / 12.0

rateslib/periods.py

@@ -2483,7 +2483,7 @@ def _get_interval_for_premium_adjusted_delta(self, unadj_k, half_vol_sq_t, vol_s
             d_ = 1.08648555952878920
             f_ = -3.0101764849574044
             g_ = 0.198384242124144070
-            root_appx = a_ * vol_sqrt_t ** b_ + c_ * vol_sqrt_t ** d_ + f_ * vol_sqrt_t ** g_
+            root_appx = a_ * vol_sqrt_t**b_ + c_ * vol_sqrt_t**d_ + f_ * vol_sqrt_t**g_
 
             def root(x):
                 return vol_sqrt_t * dual_norm_cdf(x) - dual_exp(-0.5 * x**2) / sqrt(2 * pi)

rateslib/scheduling.py

@@ -1280,7 +1280,10 @@ def _generate_irregular_schedule_unadjusted(
     else:
         yield ueffective
         yield from _generate_regular_schedule_unadjusted(
-            ufront_stub, utermination if uback_stub is NoInput.blank else uback_stub, frequency, roll
+            ufront_stub,
+            utermination if uback_stub is NoInput.blank else uback_stub,
+            frequency,
+            roll,
         )
     if uback_stub is not NoInput(0):
         yield utermination

rateslib/solver.py

@@ -1342,9 +1342,9 @@ def iterate(self):
                 # condition is set to less than to avoid the case where a null update
                 # results in the same solution and this is erroneously categorised
                 # as a converged solution.
-                return self._solver_result(1, i, time()-t0)
+                return self._solver_result(1, i, time() - t0)
             elif self.g.real < self.func_tol:
-                return self._solver_result(2, i, time()-t0)
+                return self._solver_result(2, i, time() - t0)
 
             # v_0 = self.v.copy()
             v_1 = self._update_step_(self.algorithm)
@@ -1394,7 +1394,7 @@ def _update_curves_with_parameters(self, v_new):
                     ident[0, :].tolist(),
                     *DualArgs[1:],
                 )
-            for i, k in enumerate(curve.node_dates[curve._ini_solve:]):
+            for i, k in enumerate(curve.node_dates[curve._ini_solve :]):
                 curve.nodes[k] = DualType.vars_from(
                     d_vars,
                     v_new[var_counter].real,