move running_mean helper from dfatool to utils

1 files changed, 1 insertions, 12 deletions

diff --git a/lib/dfatool.py b/lib/dfatool.py
index 607028e..b206250 100644
--- a/lib/dfatool.py
+++ b/lib/dfatool.py
@@ -16,7 +16,7 @@ from functions import analytic
 from functions import AnalyticFunction
 from parameters import ParamStats
 from utils import vprint, is_numeric, soft_cast_int, param_slice_eq, remove_index_from_tuple
-from utils import by_name_to_by_param, match_parameter_values
+from utils import by_name_to_by_param, match_parameter_values, running_mean
 
 try:
     from pubcode import Code128
@@ -29,17 +29,6 @@ except ImportError:
 arg_support_enabled = True
 
 
-def running_mean(x: np.ndarray, N: int) -> np.ndarray:
-    """
-    Compute `N` elements wide running average over `x`.
-
-    :param x: 1-Dimensional NumPy array
-    :param N: how many items to average
-    """
-    cumsum = np.cumsum(np.insert(x, 0, 0))
-    return (cumsum[N:] - cumsum[:-N]) / N
-
-
 def gplearn_to_function(function_str: str):
     """
     Convert gplearn-style function string to Python function.