""" this file includs global variables shared between tab """

import numpy as np
import pandas as pd
import datetime

# --- load raw data ---
path_BS_raw_data = ""
filename_BS_raw_data = ""
BS_raw_data = np.array([])
r = np.array([])
freq = np.array([])
freq_text = list()
time = np.array([])

path_BS_noise_data = ""
filename_BS_noise_data = ""
BS_noise_data = np.array([])
snr = np.array([])

date = []
date_noise = []
hour = []
hour_noise = []
nb_profiles = 0
nb_profiles_per_sec = 0.0
nb_cells = 0
cell_size = 0.0
pulse_length = 0.0
nb_pings_per_sec = 0
nb_pings_averaged_per_profile = 0.0
kt = np.array([])
gain_rx = np.array([])
gain_tx = np.array([])

snr = np.array([])
snr_reshape = np.array([])
time_snr = np.array([])

# --- reshape raw data for table of values in Acoustic Data tab ---
time_reshape = np.array([])
r_reshape = np.array([])
BS_raw_data_reshape = np.array([])
snr_reshape = np.array([])
DataFrame_acoustic = pd.DataFrame()

# --- Processed data in Acoustic Data Tab and used in Acoustic processing tab ---
BS_data = np.array([])
Noise_data = np.array([])
SNR_data = np.array([])
t = np.array([])
r_bottom = np.array([])
val_bottom = np.array([])
ind_bottom = np.array([])
freq_bottom_detection = 0