refactor: rename prepared to seeded in smma() for clarity

diff --git a/quickadapter/user_data/strategies/Utils.py b/quickadapter/user_data/strategies/Utils.py
index 4931f66243a3a8a50f2661585678db096cab249c..3d075c3b348fa7cc8c25c24cb815bbedb8986da5 100644 (file)
--- a/quickadapter/user_data/strategies/Utils.py
+++ b/quickadapter/user_data/strategies/Utils.py
@@ -1532,11 +1532,11 @@ def smma(series: pd.Series, period: int, zero_lag=False, offset=0) -> pd.Series:
         series = calculate_zero_lag(series, period=period)
 
     alpha = 1.0 / period
-    prepared = series.copy()
-    sma_seed = prepared.iloc[:period].mean()
-    prepared.iloc[: period - 1] = np.nan
-    prepared.iloc[period - 1] = sma_seed
-    smma = prepared.ewm(alpha=alpha, adjust=False).mean()
+    seeded = series.copy()
+    sma_seed = seeded.iloc[:period].mean()
+    seeded.iloc[: period - 1] = np.nan
+    seeded.iloc[period - 1] = sma_seed
+    smma = seeded.ewm(alpha=alpha, adjust=False).mean()
 
     if offset != 0:
         smma = smma.shift(offset)