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-rw-r--r--lib/dfatool.py13
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.