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#!/usr/bin/env python3
import os
import numpy as np
DATA_DIR = "./figures/data/flowgraphs"
SPS = 4
channel = np.fromfile(f"{DATA_DIR}/qpsk_channel_dynamic_exp_NLOS_5.dat", dtype=np.complex64)[::SPS]
sync = np.fromfile(f"{DATA_DIR}/qpsk_sync_dynamic_exp_NLOS_5.dat", dtype=np.complex64)
equalized = np.fromfile(f"{DATA_DIR}/qpsk_equalized_dynamic_exp_NLOS_5.dat", dtype=np.complex64)
locked = np.fromfile(f"{DATA_DIR}/qpsk_locked_dynamic_exp_NLOS_5.dat", dtype=np.complex64)
samples = [channel, sync, equalized, locked]
# print(list(map(len, samples)))
start = 67.8e3
end = start + 500
# start = 80e3
# end = start + 1000
get_range = lambda arr: arr[int(start):int(end)]
get_parts = lambda v: (np.real(v), np.imag(v))
values = map(get_range, samples)
parts = [p for v in map(get_parts, values) for p in v]
data = np.array(list(zip(*parts)))
# save to file
location = os.path.realpath(os.path.join(os.getcwd(), os.path.dirname(__file__)))
name, _ = os.path.splitext(os.path.basename(__file__))
filename = os.path.join(location, name + ".dat")
np.savetxt(filename, data, fmt='%.6e')
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