## My functions
import neuroprime.src.utils.myfunctions as my
#from functions.nftalgorithm import nftalgorithm
# My classes
from neuroprime.src.initbciclass import initbciclass, get_amp_subprocess
from neuroprime.src.brain_interfaces.e2_bci.restclass import restclass
from neuroprime.src.brain_interfaces.e2_bci.nftclass import nftclass
from neuroprime.src.brain_interfaces.e2_bci.primeclass import primeclass
from neuroprime.src.brain_interfaces.e2_bci.reportclass import reportclass
#LOGGING -
import logging
#Config this script lo show sobmodules loggers
#logging.basicConfig(level=logging.INFO)
#Module logger
logger = my.setlogfile(modulename=__name__,
setlevel=logging.INFO,
disabled=True)
#debugging
#import pdb
#GLOBAL VARS
SAVE_FOLDER = 'e2_data' #DESKTOP
SAVE_BY_TASK = True #EEG True:save task by task; False:save full session
#add amps
ADD_AMPS_ON = True # GSR AND HR
ADD_AMPS_SAVE_BY_TASK = False #Saving at the end - taking too mutch time saving by task
#stimulus time
MASTER_STIMULUS_TIME = 90 #s
#update threshold at NFT end
MASTER_UPDATE_THRESHOLD_AFTERTASK = True #(see nftclass.threshold_update_aftertask =>needs to be true to update)
import cPickle as pickle
# My functions
import neuroprime.src.utils.myfunctions as my
from neuroprime.src.signal_processing.nftalgorithm import nftalgorithm
import neuroprime.src.signal_processing.eegfunctions as eeg
# My classes
from neuroprime.src.initbciclass import initbciclass
#LOGGING - logger from initbciclass
import logging
setlevel = logging.WARNING
logging.basicConfig(stream=sys.stdout, level=setlevel)
#Module logger
logger = my.setlogfile(modulename=__name__, setlevel=setlevel, disabled=True)
logger.info('Logger started')
#debugging
#import pdb
class nftclass(initbciclass):
def init(self):
"""
Global Constants
"""
#1.INIT Parent Class
initbciclass.init(self)
#2.Alter or add other functions
#INIT SAVING