removed superfluid lib method and imports from lib

saqc/funcs/break_detection.py

@@ -7,7 +7,7 @@ import pandas as pd
 from scipy.signal import savgol_filter
 
 from saqc.funcs.register import register
-from saqc.lib.tools import retrieveTrustworthyOriginal, offset2periods
+from saqc.lib.tools import retrieveTrustworthyOriginal
 
 
 @register("breaks_spektrumBased")

saqc/funcs/constants_detection.py

@@ -83,7 +83,7 @@ def flagConstant_varianceBased(
 
     dataseries, data_rate = retrieveTrustworthyOriginal(data, field, flagger)
 
-    min_periods = int(offset2periods(plateau_window_min, data_rate))
+    min_periods = int(np.ceil(pd.Timedelta(plateau_window_min) / pd.Timedelta(data_rate)))
 
     plateaus = dataseries.rolling(
         window=plateau_window_min, min_periods=min_periods

saqc/funcs/soil_moisture_tests.py

@@ -12,9 +12,7 @@ from saqc.funcs.spike_detection import flagSpikes_spektrumBased
 from saqc.funcs.constants_detection import flagConstant_varianceBased
 from saqc.funcs.register import register
 from saqc.lib.tools import (
-    estimateSamplingRate,
-    retrieveTrustworthyOriginal,
-    offset2periods,
+    retrieveTrustworthyOriginal
 )
 
 

saqc/lib/tools.py

@@ -157,17 +157,6 @@ def offset2seconds(offset):
     return pd.Timedelta.total_seconds(pd.Timedelta(offset))
 
 
-def offset2periods(input_offset, period_offset):
-    """Function returns the number of periods of length "periods_offset" that sum up to length "input offset".
-    (Namely their fraction.)
-
-    :param input_offset         Offset string or pandas offset object.
-    :param period_offset        Offset string or pandas offset object.
-    """
-
-    return offset2seconds(input_offset) / offset2seconds(period_offset)
-
-
 def flagWindow(
     flagger_old, flagger_new, field, direction="fw", window=0, **kwargs
 ) -> pd.Series: