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##############################################################################
# Copyright (c) 2016 CENGN and others.
#
# All rights reserved. This program and the accompanying materials
# are made available under the terms of the Apache License, Version 2.0
# which accompanies this distribution, and is available at
# http://www.apache.org/licenses/LICENSE-2.0
##############################################################################
def data_treatment(data_series):
"""
This function aims at performing any necessary pre treatment on the
data_series passed to the steady_state function before being passed
under to the different math utilities (slope, range and average)
so the data can match the requirements of each algorithm.
The function returns a dictionary composed of three values that can be
accessed with the following keys : 'slope_data', 'range_data' and
'average_data'.
The data_series is currently assumed to follow the pattern :
[[x1,y1], [x2,y2], ..., [xm,ym]]. If this pattern were to change, or
the input data pattern of one of the math module, this data_treatment
function should be the only part of the Steady State detection module
that would need to be modified too.
"""
x_values = []
y_values = []
for l in data_series:
x_values.append(l[0])
y_values.append(l[1])
treated_data = {
'slope_data': data_series, # No treatment necessary so far
'range_data': y_values, # The y_values only
'average_data': y_values
}
return treated_data
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