januari_serii

from __future__ import print_function
import numpy as np
import scipy.stats as sp

y_labels = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
            1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
            1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
            1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
            1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
            1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
            1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
            1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
            1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
            1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
            1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
            1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
            0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
            0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
            0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
            0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
            0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
            0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
            0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]


def percentiles_all(x, iqr=True, amplitude=True, percentiles_list=[5, 10, 25, 40, 50, 60, 75, 90, 95]):
    names = ['p_' + str(p) for p in percentiles_list]
    if iqr and 25 in percentiles_list and 75 in percentiles_list:
        names.append('iqr')
    if amplitude and 1 in percentiles_list and 99 in percentiles_list:
        names.append('perc_amp')
    if len(x) == 0:
        values = [0 for i in range(len(names))]
        return values, names
    if len(percentiles_list) > 0 and all([0 < q < 100 for q in percentiles_list]):
        values = list(np.percentile(x, percentiles_list))
    else:
        values = []
    if iqr:
        q1 = percentiles_list.index(25)
        q3 = percentiles_list.index(75)
        values.append(values[q3] - values[q1])
    if amplitude and 1 in percentiles_list and 99 in percentiles_list:
        q1 = percentiles_list.index(1)
        q3 = percentiles_list.index(99)
        values.append(values[q3] - values[q1])
    return values, names

def stats_calculate_all(x):
    xnp = np.array(x)
    n = len(x)
    if n == 0:
        values = [0 for i in range(len(stats_all_names))]
        return values, stats_all_names
    values = []
    vmean = float(np.mean(xnp))
    vstd = float(np.std(xnp))
    if vstd != 0:
        snr = vmean / vstd
    values.append(vmean)
    values.append(np.median(xnp))
    values.append(vstd)
    return values


if __name__ == "__main__":
    x = np.array(X_data)
    shift = 5  # pomestuvanje pomegu podviznite prozorci
    w_long = input()  # dolzina (broj na otcituvanja) na dolgiot prozorec
    w_short = input()  # dolzina (broj na otcituvanja) na kratkiot prozorec
    for i in range(max(w_short, w_long), len(X_data), shift):
        lista=[]
        nova=[]
        for j in range(x.shape[1]):
            x_winow_long = x[i - w_long:i, j]
            x_winow_short = x[i - w_short:i, j]
            s1 = stats_calculate_all(x_winow_long)
            s2= stats_calculate_all(x_winow_short)
            lista.append(round((x[i][j]),2))
            for d in s1:
                lista.append(round(d,2))
            for d in s2:
                lista.append(round(d,2))
            if(s1[0]<s2[0]):
                lista.append(-1)
            else:
                lista.append(1)
        print (i,lista)