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average.py
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# -*- coding: utf-8 -*-
import os
import sys
import re
import argparse
from glob import glob
import numpy as np
import warnings
sys.path.insert(1, os.path.realpath(os.path.join(sys.path[0], os.pardir)))
from frequency_response import FrequencyResponse
from constants import MOD_REGEX
def average_measurements(input_dir=None, output_dir=None):
if input_dir is None:
raise TypeError('Input directory path is required!')
if output_dir is None:
output_dir = os.path.abspath(input_dir)
input_dir = os.path.abspath(input_dir)
output_dir = os.path.abspath(output_dir)
models = {}
for file_path in glob(os.path.join(input_dir, '*')):
model = os.path.split(file_path)[-1]
if not re.search(MOD_REGEX, model, re.IGNORECASE):
continue
norm = re.sub(MOD_REGEX, '', model, 0, flags=re.IGNORECASE)
try:
models[norm].append(model)
except KeyError as err:
models[norm] = [model]
for norm, origs in models.items():
if len(origs) > 1:
f = FrequencyResponse.generate_frequencies()
avg = np.zeros(len(f))
for model in origs:
fr = FrequencyResponse.read_from_csv(os.path.join(input_dir, model, model + '.csv'))
fr.interpolate()
fr.center()
avg += fr.raw
avg /= len(origs)
fr = FrequencyResponse(name=norm, frequency=f, raw=avg)
d = os.path.join(output_dir, norm)
os.makedirs(d, exist_ok=True)
file_path = os.path.join(d, norm + '.csv')
fr.write_to_csv(file_path)
def create_cli():
arg_parser = argparse.ArgumentParser()
arg_parser.add_argument('--input_dir', type=str, required=True, help='Path to input directory.')
arg_parser.add_argument('--output_dir', type=str, required=True, help='Path to output directory.')
cli_args = arg_parser.parse_args()
return vars(cli_args)
if __name__ == '__main__':
average_measurements(**create_cli())