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#!/usr/bin/env python3
import utils
import numpy as np
# get array of samples [channel, synchronized, equalized, locked]
samples = utils.load_samples(__file__)
# range of samples we want to show
start = 1e3
end = start +50
# select every second samples
select_samples = lambda arr: arr[int(start):int(end):2]
values = map(select_samples, samples)
# split into imaginary and real parts
get_parts = lambda v: (np.real(v), np.imag(v))
parts = [p for v in map(get_parts, values) for p in v]
# zip data and add header
data = np.array(list(zip(*parts)))
headers = [
"channel_re", "channel_im",
"synchronized_re", "synchronized_im",
"equalized_re", "equalized_im",
"locked_re", "locked_im"
]
# save to file
utils.save_to_file(__file__, data, headers)
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