Fix lint

Author: lsbardel

docs/examples/rates_kalman.py

@@ -1,5 +1,6 @@
 import asyncio
 from datetime import timedelta
+from decimal import Decimal
 
 import numpy as np
 import pandas as pd
@@ -46,9 +47,9 @@ async def fetch() -> pd.DataFrame:
 va_model = np.zeros((len(va_short), len(ttm)))
 cir_model = np.zeros((len(cir_short), len(ttm)))
 for t in range(len(va_short)):
-    vasicek.rate = float(va_short[t])
+    vasicek.rate = Decimal(str(float(va_short[t])))
     va_model[t] = np.asarray(vasicek.rates(ttm), dtype=float)
-    cir.rate = float(cir_short[t])
+    cir.rate = Decimal(str(float(cir_short[t])))
     cir_model[t] = np.asarray(cir.rates(ttm), dtype=float)
 
 # observed (par -> continuous) and both model yields per tenor, over time

quantflow/rates/yield_curve.py

@@ -109,7 +109,7 @@ def continuously_compounded_rate(
         )
         return maybe_float(result)
 
-    def rate(
+    def rates(
         self,
         ttm: Annotated[ArrayLike, Doc("Time to maturity in years")],
         frequency: Annotated[