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l = [ [1, 2], [3, 4, 5] ]

# Option 1
# Nice because it works not only with lists but all kinds of iterators
flattened1 = list(itertools.chain(*l))

# Option 2
flattened2 = sum(l, [])

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import numpy as np
import pandas as pd
from pandas import Series, DataFrame
from netCDF4 import Dataset
import netCDF4 as nc4
import os
import gdal


TILE_PARAMS = {

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def hyst(x, thr1, thr2, thr1_time = 0, thr2_time = 0, initial = False):
    def level_hysteresis(sig, thr):
        when_over = sig > thr
        when_under = 1-when_over
        where_under = np.where(when_over == 0)[0]
        
        over_cumsum = np.cumsum(when_over)
        under_cumsum = np.cumsum(when_under)
        return np.maximum(0, over_cumsum - over_cumsum[where_under[under_cumsum-1]])
    

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def byte2hexstring(b, spacing=" ", upper_case=True):
    """
    Converts bytes into hex string.

    Args:
        b (bytes): Bytes to be converted
        spacing (string): Spacing between each couple of hex charachters. Defaults to single space
        upper_case: If True, uses upper-case letters for the digits above 9

    Returns:

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# | |_| | ' \/ _| '_| || (_-<  _| |  _| || | | (__ / / (_|_   _|_   _| / _/ _ \ ' \|  _| / _` |    #
#  \___/|_||_\__|_|  \_,_/__/\__|_|_|  \_, |  \___/_/ \___||_|   |_|   \__\___/_||_|_| |_\__, |    #
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