diff --git a/code.txt b/code.txt
index f03b387..7607c98 100644
--- a/code.txt
+++ b/code.txt
@@ -1,86 +1,3 @@
-
-import matplotlib.pyplot as plt
-import seaborn as sns
-import pandas as pd
-import numpy as np     
-import random           
-from scipy.io import loadmat
-from scipy import signal
-from google.colab import drive
-import warnings
-import string
-import os
-
-from keras.layers import *
-from keras.models import Model
-from keras import backend as K
-from keras import Sequential
-from keras.callbacks import ModelCheckpoint
-from keras.callbacks import EarlyStopping
-from sklearn.metrics import confusion_matrix
-from sklearn.preprocessing import scale
-from sklearn.preprocessing import MinMaxScaler
-
-# Install mne library for topoplot
-!pip install mne
-import mne
-
-warnings.filterwarnings('ignore')
-drive.mount('/content/drive')
-
-####################### SETTINGS ########################
-# Set this variable with the desidered model's name     #
-MODEL_SELECTED = "MCNN1"                                #
-#                                                       #
-# Set this variable with the desidered subject's letter #
-SUBJECT_SELECTED = "B"                                  #
-#                                                       #     
-# Set this variable with the desired electrode subset   #
-ELECTRODE_SELECTED = "O" # CNN2c only                   #
-#########################################################
-
-model_names = ["CNN1", "CNN2a", "CNN2b", "CNN2c", "CNN3", "MCNN1", "MCNN2", "MCNN3"]
-subject_names = ["A", "B"]
-electrode_names = ["F", "C", "P", "O", "LT", "RT"]
-
-# Check for errors in the settings
-if MODEL_SELECTED not in model_names:
-    raise ValueError("MODEL_SELECTED value {} is invalid.\nPlease enter one of the following parameters {}".format(MODEL_SELECTED, model_names))
-elif SUBJECT_SELECTED not in subject_names:
-    raise ValueError("SUBJECT_SELECTED value {} is invalid.\nPlease enter one of the following parameters {}".format(SUBJECT_SELECTED, subject_names))
-elif MODEL_SELECTED == "CNN2c" and ELECTRODE_SELECTED not in electrode_names:
-    raise ValueError("ELECTRODE_SELECTED value {} is invalid\nPlease enter one of the following parameters {}".format(ELECTRODE_SELECTED, electrodes_names))
-
-# Google drive data paths
-MODEL_LOCATIONS_FILE_PATH = 'drive/My Drive/AY1920_DT_P300_SPELLER_03/Trained_models/' + MODEL_SELECTED + '/' + SUBJECT_SELECTED
-SUBJECT_TRAIN_FILE_PATH = 'drive/My Drive/AY1920_DT_P300_SPELLER_03/Dataset/Subject_' + SUBJECT_SELECTED + '_Train.mat'
-SUBJECT_TEST_FILE_PATH = 'drive/My Drive/AY1920_DT_P300_SPELLER_03/Dataset/Subject_' + SUBJECT_SELECTED + '_Test.mat'
-CHANNEL_LOCATIONS_FILE_PATH = 'drive/My Drive/AY1920_DT_P300_SPELLER_03/Dataset/channels.csv'
-CHANNEL_COORD = 'drive/My Drive/AY1920_DT_P300_SPELLER_03/Dataset/coordinates.csv'
-
-# Channel selection
-if MODEL_SELECTED == "CNN2a":
-    CHANNELS = [10, 33, 48, 50, 52, 55, 59, 61]
-
-elif MODEL_SELECTED == "CNN2b":
-    if SUBJECT_SELECTED == "A":
-        CHANNELS = [10, 14, 17, 50, 55, 57, 59, 60]
-    elif SUBJECT_SELECTED == "B":
-        CHANNELS = [17, 50, 55, 56, 57, 58, 59, 60]
-
-elif MODEL_SELECTED == "CNN2c":
-    if ELECTRODE_SELECTED == "F":
-        CHANNELS = [21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37]
-    elif ELECTRODE_SELECTED == "C":
-        CHANNELS = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13]
-    elif ELECTRODE_SELECTED == "P":
-        CHANNELS = [15, 16, 17, 18, 19, 48, 49, 50, 51, 52]
-    elif ELECTRODE_SELECTED == "O":
-        CHANNELS = [55, 56, 57, 58, 59, 60, 61, 62]
-    elif ELECTRODE_SELECTED == "LT":
-        CHANNELS = [14, 38, 40, 44, 46, 47]
-    elif ELECTRODE_SELECTED == "RT":
-        CHANNELS = [20, 39, 41, 45, 53, 54]
-
-else:
-    CHANNELS = [i for i in range(64)]
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+Проходит мужик через металлодетектор, а тот возьми да пропикай. Ну, мужика попросили заново пройти. 
+Металлодетектор - снова пикает. И так несколько раз! Мужик и не выдержал, говорит: 
+- Может хватит, ну вы чего, я ж не железный!
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