[FIX] reduce runtime by ~45% (!) through the removal of builtins.any

saqc/core/flags.py

@@ -221,7 +221,7 @@ class Flags:
         if colname:
             errm += f"of column {colname} "
 
-        if any(history.hist[0] != UNFLAGGED):
+        if (history.hist[0] != UNFLAGGED).any():
             raise ValueError(errm + "missing an UNFLAGGED-column at first position")
 
         # this ensures that the mask does not shadow UNFLAGGED with a NaN.

saqc/core/history.py

@@ -439,7 +439,7 @@ class History:
                 f"'mask' must be of type pd.DataFrame, but {type(mask).__name__} was given"
             )
 
-        if any(mask.dtypes != bool):
+        if (mask.dtypes != bool).any():
             raise ValueError("dtype of all columns in 'mask' must be bool")
 
         if not mask.empty and not mask.iloc[:, -1].all():
@@ -467,7 +467,7 @@ class History:
                 f"'hist' must be of type pd.DataFrame, but {type(obj).__name__} was given"
             )
 
-        if any(obj.dtypes != float):
+        if (obj.dtypes != float).any():
             raise ValueError("dtype of all columns in hist must be float")
 
         if not obj.empty and (

saqc/core/register.py

@@ -243,7 +243,7 @@ def _maskData(
     for c in columns:
         col_mask = _isflagged(flags[c].to_numpy(), thresh)
 
-        if any(col_mask):
+        if col_mask.any():
             col_data = data[c].to_numpy(dtype=np.float64)
             col_data[col_mask] = np.nan
 
@@ -357,7 +357,7 @@ def _unmaskData(data: dios.DictOfSeries, old_state: CallState) -> dios.DictOfSer
         restore_old_mask = old_state.mask[c].to_numpy() & data[c].isna().to_numpy()
 
         # we have nothing to restore
-        if not any(restore_old_mask):
+        if not restore_old_mask.any():
             continue
 
         # restore old values if no new are present