add lab 3 materials

lab3/LSLHandoff.py

@@ -0,0 +1,11 @@
+from pylsl import StreamInfo, StreamOutlet
+import numpy as np
+info = StreamInfo('Ganglion_EEG', 'EEG', 4, 200, 'float32',
+                  'Ganglion_123456789')
+outlet = StreamOutlet(info)
+while True:
+    strSample = raw_input().split(': ', 1)
+    sample = 1e6*np.array(map(float, strSample[1].split(' ')))
+    stamp = float(strSample[0])*1e-3
+    outlet.push_sample(sample, stamp)
+    # print('Pushed Sample At: ' + strSample[0])

lab3/ganglion-lsl.js

@@ -0,0 +1,27 @@
+const Ganglion = require('openbci-ganglion').Ganglion;
+const ganglion = new Ganglion();
+// Construct LSL Handoff Python Shell
+var PythonShell = require('python-shell');
+var lsloutlet = new PythonShell('LSLHandoff.py');
+
+lsloutlet.on('message', function(message){
+    console.log('LslOutlet: ' + message);
+});
+console.log('Python Shell Created for LSLHandoff');
+
+ganglion.once('ganglionFound', (peripheral) => {
+  // Stop searching for BLE devices once a ganglion is found.
+  ganglion.searchStop();
+  ganglion.on('sample', (sample) => {
+    /** Work with sample */
+    st = sample.channelData.join(' ');
+    var s = ''+ sample.timeStamp + ': '+ st
+    lsloutlet.send(s)
+  });
+  ganglion.once('ready', () => {
+    ganglion.streamStart();
+  });
+  ganglion.connect(peripheral);
+});
+// Start scanning for BLE devices
+ganglion.searchStart();

lab3/lsl-record.py

@@ -0,0 +1,100 @@
+#!/usr/bin/env python
+import numpy as np
+import pandas as pd
+from time import time, strftime, gmtime
+from optparse import OptionParser
+from pylsl import StreamInlet, resolve_byprop
+from sklearn.linear_model import LinearRegression
+
+default_fname = ("data/data_%s.csv" % strftime("%Y-%m-%d-%H.%M.%S", gmtime()))
+parser = OptionParser()
+parser.add_option("-d", "--duration",
+                  dest="duration", type='int', default=300,
+                  help="duration of the recording in seconds.")
+parser.add_option("-f", "--filename",
+                  dest="filename", type='str', default=default_fname,
+                  help="Name of the recording file.")
+
+# dejitter timestamps
+dejitter = False
+
+(options, args) = parser.parse_args()
+
+
+
+print("looking for an EEG stream...")
+streams = resolve_byprop('type', 'EEG', timeout=2)
+
+if len(streams) == 0:
+    raise(RuntimeError, "Cant find EEG stream")
+
+print("Start aquiring data")
+inlet = StreamInlet(streams[0], max_chunklen=12)
+eeg_time_correction = inlet.time_correction()
+
+print("looking for a Markers stream...")
+marker_streams = resolve_byprop('type', 'Markers', timeout=2)
+
+if marker_streams:
+    inlet_marker = StreamInlet(marker_streams[0])
+    marker_time_correction = inlet_marker.time_correction()
+else:
+    inlet_marker = False
+    print("Cant find Markers stream")
+
+info = inlet.info()
+description = info.desc()
+
+freq = info.nominal_srate()
+Nchan = info.channel_count()
+
+ch = description.child('channels').first_child()
+ch_names = [ch.child_value('label')]
+for i in range(1, Nchan):
+    ch = ch.next_sibling()
+    ch_names.append(ch.child_value('label'))
+
+res = []
+timestamps = []
+markers = []
+t_init = time()
+print('Start recording at time t=%.3f' % t_init)
+while (time() - t_init) < options.duration:
+    try:
+        data, timestamp = inlet.pull_chunk(timeout=1.0,
+                                           max_samples=12)
+        if timestamp:
+            res.append(data)
+            timestamps.extend(timestamp)
+        if inlet_marker:
+            marker, timestamp = inlet_marker.pull_sample(timeout=0.0)
+            if timestamp:
+                markers.append([marker, timestamp])
+    except KeyboardInterrupt:
+        break
+
+res = np.concatenate(res, axis=0)
+timestamps = np.array(timestamps)
+
+if dejitter:
+    y = timestamps
+    X = np.atleast_2d(np.arange(0, len(y))).T
+    lr = LinearRegression()
+    lr.fit(X, y)
+    timestamps = lr.predict(X)
+
+res = np.c_[timestamps, res]
+data = pd.DataFrame(data=res, columns=['timestamps'] + ch_names)
+
+data['Marker'] = 0
+# process markers:
+for marker in markers:
+    # find index of margers
+    ix = np.argmin(np.abs(marker[1] - timestamps))
+    val = timestamps[ix]
+    data.loc[ix, 'Marker'] = marker[0][0]
+
+
+data.to_csv(options.filename, float_format='%.3f', index=False)
+
+print('Done !')

lab3/lsl-viewer.py

@@ -0,0 +1,190 @@
+#!/usr/bin/env python
+import numpy as np
+import matplotlib.pyplot as plt
+from scipy.signal import butter, filtfilt
+from time import time, sleep
+from pylsl import StreamInlet, resolve_byprop
+import seaborn as sns
+from threading import Thread
+
+sns.set(style="whitegrid")
+
+from optparse import OptionParser
+
+parser = OptionParser()
+
+parser.add_option("-w", "--window",
+                  dest="window", type='float', default=5.,
+                  help="window lenght to display in seconds.")
+parser.add_option("-s", "--scale",
+                  dest="scale", type='float', default=100,
+                  help="scale in uV")
+parser.add_option("-r", "--refresh",
+                  dest="refresh", type='float', default=0.2,
+                  help="refresh rate in seconds.")
+parser.add_option("-f", "--figure",
+                  dest="figure", type='string', default="15x6",
+                  help="window size.")
+
+filt = True
+subsample = 2
+buf = 12
+
+(options, args) = parser.parse_args()
+
+window = options.window
+scale = options.scale
+figsize = np.int16(options.figure.split('x'))
+
+print("looking for an EEG stream...")
+streams = resolve_byprop('type', 'EEG', timeout=2)
+
+if len(streams) == 0:
+    raise(RuntimeError("Cant find EEG stream"))
+print("Start aquiring data")
+
+
+class LSLViewer():
+
+    def __init__(self, stream, fig, axes,  window, scale, dejitter=True):
+        """Init"""
+        self.stream = stream
+        self.window = window
+        self.scale = scale
+        self.dejitter = dejitter
+        self.inlet = StreamInlet(stream, max_chunklen=buf)
+        self.filt = True
+        info = self.inlet.info()
+        description = info.desc()
+
+        self.sfreq = info.nominal_srate()
+        self.n_samples = int(self.sfreq * self.window)
+        self.n_chan = info.channel_count()
+
+        ch = description.child('channels').first_child()
+        ch_names = [ch.child_value('label')]
+
+        for i in range(self.n_chan):
+            ch = ch.next_sibling()
+            ch_names.append(ch.child_value('label'))
+
+        self.ch_names = ch_names
+
+        fig.canvas.mpl_connect('key_press_event', self.OnKeypress)
+        fig.canvas.mpl_connect('button_press_event', self.onclick)
+
+        self.fig = fig
+        self.axes = axes
+
+        sns.despine(left=True)
+
+        self.data = np.zeros((self.n_samples, self.n_chan))
+        self.times = np.arange(-self.window, 0, 1./self.sfreq)
+        impedances = np.std(self.data, axis=0)
+        lines = []
+
+        for ii in range(self.n_chan):
+            line, = axes.plot(self.times[::subsample],
+                              self.data[::subsample, ii] - ii, lw=1)
+            lines.append(line)
+        self.lines = lines
+
+        axes.set_ylim(-self.n_chan + 0.5, 0.5)
+        ticks = np.arange(0, -self.n_chan, -1)
+
+        axes.set_xlabel('Time (s)')
+        axes.xaxis.grid(False)
+        axes.set_yticks(ticks)
+
+        ticks_labels = ['%s - %.1f' % (ch_names[ii], impedances[ii])
+                        for ii in range(self.n_chan)]
+        axes.set_yticklabels(ticks_labels)
+
+        self.display_every = int(0.2 / (12/self.sfreq))
+
+        self.bf, self.af = butter(4, np.array([1, 40])/(self.sfreq/2.),
+                                  'bandpass')
+
+    def update_plot(self):
+        k = 0
+        while self.started:
+            samples, timestamps = self.inlet.pull_chunk(timeout=1.0,
+                                                        max_samples=12)
+            if timestamps:
+                self.data = np.vstack([self.data, samples])
+                if self.dejitter:
+                    timestamps = np.float64(np.arange(len(timestamps)))
+                    timestamps /= self.sfreq
+                    timestamps += self.times[-1] + 1./self.sfreq
+                self.times = np.concatenate([self.times, timestamps])
+
+                self.n_samples = int(self.sfreq * self.window)
+                self.data = self.data[-self.n_samples:]
+                self.times = self.times[-self.n_samples:]
+                k += 1
+                if k == self.display_every:
+                    if self.filt:
+                        data_f = filtfilt(self.bf, self.af, self.data, axis=0)
+                    else:
+                        data_f = self.data
+                        data_f -= data_f.mean(axis=0)
+
+                    for ii in range(self.n_chan):
+                        self.lines[ii].set_xdata(self.times[::subsample] -
+                                                 self.times[-1])
+                        self.lines[ii].set_ydata(data_f[::subsample, ii] /
+                                                 self.scale - ii)
+
+                    impedances = np.std(data_f, axis=0)
+                    ticks_labels = ['%s - %.2f' %
+                                    (self.ch_names[ii], impedances[ii])
+                                    for ii in range(self.n_chan)]
+                    self.axes.set_yticklabels(ticks_labels)
+                    self.axes.set_xlim(-self.window, 0)
+                    self.fig.canvas.draw()
+                    k = 0
+            else:
+                sleep(0.2)
+
+    def onclick(self, event):
+        print((event.button, event.x, event.y, event.xdata, event.ydata))
+
+    def OnKeypress(self, event):
+        if event.key == '/':
+            self.scale *= 1.2
+        elif event.key == '*':
+            self.scale /= 1.2
+        elif event.key == '+':
+            self.window += 1
+        elif event.key == '-':
+            if self.window > 1:
+                self.window -= 1
+        elif event.key == 'd':
+            self.filt = not(self.filt)
+
+    def start(self):
+        self.started = True
+        self.thread = Thread(target=self.update_plot)
+        self.thread.daemon = True
+        self.thread.start()
+
+    def stop(self):
+        self.started = False
+
+
+fig, axes = plt.subplots(1, 1, figsize=figsize, sharex=True)
+lslv = LSLViewer(streams[0], fig, axes, window, scale)
+
+help_str = """
+            toggle filter : d
+            toogle full screen : f
+            zoom out : /
+            zoom in : *
+            increase time scale : -
+            decrease time scale : +
+           """
+print(help_str)
+lslv.start()
+
+plt.show()
+lslv.stop()

lab3/package.json

@@ -0,0 +1,16 @@
+{
+  "name": "lab3",
+  "version": "1.0.0",
+  "description": "",
+  "main": "ganglion-lsl.js",
+  "dependencies": {
+    "openbci-ganglion": "^0.4.3",
+    "python-shell": "^0.4.0"
+  },
+  "devDependencies": {},
+  "scripts": {
+    "test": "echo \"Error: no test specified\" && exit 1"
+  },
+  "author": "",
+  "license": "GPL-3.0"
+}

lab3/paradigm/constants.py

@@ -0,0 +1,35 @@
+#!/usr/bin/env python2
+
+import platform
+import time
+
+fullscreen_on = False
+
+size = 1280, 800
+SCREEN_WIDTH, SCREEN_HEIGHT = size
+
+white = 255,255,255
+black = 0,0,0
+red = 255,0,0
+green = 0,255,0
+blue = 0,0,255
+chartreuse = 127,255,0
+light_green = 131,255,100
+nice_red = 207,45,64
+sky_blue = 100,244,255
+nice_blue = 0,194,255
+dark_gray = 20,20,20
+
+anna_blue = 79,129,189
+anna_green = 0,128,0
+anna_gray = 146,146,146
+anna_grayblue = 45,74,108
+
+background_color = black
+
+
+if platform.system() == 'Windows':
+   wallclock = time.clock
+else:
+   wallclock = time.time
+

lab3/paradigm/drawstuff.py

@@ -0,0 +1,65 @@
+import pygame, sys
+from screen import screen
+from constants import *
+
+# font_path = pygame.font.match_font('Arial')
+font_path = pygame.font.get_default_font()
+
+def draw_text(text, center, color=white, size=30, bold=False, background=None,
+              left=False):
+    font = pygame.font.Font(font_path, size, bold=bold)
+    if background:
+        surface = font.render(text, True, color, background)
+    else:
+        surface = font.render(text, True, color)
+
+    rect = surface.get_rect()
+    rect.center = tuple(center)
+    if left:
+        rect.left = center[0]
+
+    screen.blit(surface, rect)
+    return rect
+
+def draw_image(img, center):
+    rect = img.get_rect()
+    rect.center = tuple(center)
+    screen.blit(img, rect)
+
+def draw_focus_screen():
+    p = screen.get_rect().center
+    draw_text('+', p, size=100)
+
+def focus_slide():
+    screen.fill(background_color)
+    draw_focus_screen()
+    pygame.display.flip()
+
+
+def simple_slide(text, size=100):
+    screen.fill(background_color)
+    p = screen.get_rect().center
+    draw_text(text, p, size=size)
+    pygame.display.flip()
+
+def text_slide(text, size=30):
+    screen.fill(background_color)
+    lines = text.split('\n')
+    rect = draw_text('test', (SCREEN_WIDTH/2, SCREEN_HEIGHT/2),
+                     size=size, color=background_color)
+    height = rect.height + 6
+    y = SCREEN_HEIGHT/2 - (len(lines)-1)*(height/2)
+    for line in lines:
+        draw_text(line.strip(), (SCREEN_WIDTH/2, y), size=size)
+        y += height
+    pygame.display.flip()
+
+def recognize_slide(word, size=100):
+    screen.fill(background_color)
+    p = screen.get_rect().center
+    draw_text(word, p, size=size)
+
+    draw_text("1=unknown", (200, SCREEN_HEIGHT-100), size=50)
+    draw_text("4=recognized", (SCREEN_WIDTH-250, SCREEN_HEIGHT-100), size=50)
+
+    pygame.display.flip()

lab3/paradigm/encode.py

@@ -0,0 +1,75 @@
+import pygame
+from pygame.locals import *
+from constants import *
+import time
+from extract_words import get_words
+import pandas as pd
+from pylsl import StreamInfo, StreamOutlet
+
+pygame.init()
+#pygame.mouse.set_visible(False)
+
+from screen import screen
+from drawstuff import *
+
+study_time = int(time.time())
+print(study_time)
+
+word_fname = '../data/words_{}.csv'.format(study_time)
+
+words = get_words()
+words.to_csv(word_fname)
+
+info = StreamInfo('Ganglion_EEG', 'Markers', 1, 0.0, 'int32',
+                  'marker')
+outlet = StreamOutlet(info)
+
+
+
+def check_for_key(key=K_ESCAPE):
+    while True:
+        event = pygame.event.poll()
+        if event.type == 0:
+            return False
+        elif event.dict.get('key', -1) == key:
+            return True
+
+def check_for_escape():
+    return check_for_key(K_ESCAPE)
+
+def finish_stuff(early=False):
+    return
+
+
+text_slide("""Start recording and
+press space to continue""")  
+while not check_for_key(K_SPACE):
+    pass
+
+focus_slide()
+outlet.push_sample([-1], time.time())
+time.sleep(0.5)
+
+for i in xrange(words.shape[0]):
+    d = dict(words.ix[i])
+
+    if d['is_shown'] != 1:
+        continue
+
+    word = d['word']
+
+    simple_slide(word)
+    outlet.push_sample([d['id']], time.time())
+    time.sleep(2.0)
+
+    if check_for_escape():
+        finish_stuff(early=True)
+        exit()
+
+    focus_slide()
+    outlet.push_sample([-1], time.time())
+    time.sleep(0.5)
+
+    if check_for_escape():
+        finish_stuff(early=True)
+        exit()

lab3/paradigm/extract_words.py

@@ -0,0 +1,29 @@
+import pandas as pd
+import numpy as np
+
+def get_words():
+    words = pd.read_csv("word_list.csv")
+    n = len(words)
+
+    words_big = np.random.choice(words["id"],size=60, replace=False)
+    words_small = np.random.choice(words_big,size=30, replace=False)
+
+    final = words[words["id"].isin(words_big)].copy()
+    final["is_shown"] = 0
+
+    ids = list(final["id"])
+    is_shown = list(final["is_shown"])
+
+    for x in range(0,len(ids)):
+        if ids[x] in words_small:
+            is_shown[x] = 1
+
+    final["is_shown"] = is_shown
+
+
+    ix = np.arange(final.shape[0])
+    np.random.shuffle(ix)
+    final = final.reset_index().ix[ix]
+    final = final.reset_index()
+
+    return final

lab3/paradigm/recognize.py

@@ -0,0 +1,89 @@
+#!/usr/bin/env python2
+
+import pygame
+from pygame.locals import *
+from constants import *
+import time
+from extract_words import get_words
+import pandas as pd
+import sys
+from pylsl import StreamInfo, StreamOutlet
+
+
+pygame.init()
+#pygame.mouse.set_visible(False)
+
+from screen import screen
+from drawstuff import *
+
+words_fname = sys.argv[1].replace('.csv', '_labeled.csv')
+
+words = pd.read_csv(sys.argv[1])
+words['recognized'] = 'null'
+
+def wait_for_keys(keys, escape=True):
+    pygame.event.clear()
+    while True:
+        event=pygame.event.wait()
+        if(event.type == KEYDOWN):
+            if event.key in keys or \
+               (escape and event.key == K_ESCAPE):
+                return event.key
+
+def check_for_escape():
+    while True:
+        event = pygame.event.poll()
+        if event.type == 0:
+            return False
+        elif event.dict.get('key', -1) == K_ESCAPE:
+            return True
+
+def finish_stuff(early=False):
+    return
+
+info = StreamInfo('Ganglion_EEG', 'Markers', 1, 0.0, 'int32', 'marker')
+outlet = StreamOutlet(info)
+
+
+def check_for_key(key=K_ESCAPE):
+    while True:
+        event = pygame.event.poll()
+        if event.type == 0:
+            return False
+        elif event.dict.get('key', -1) == key:
+            return True
+
+def check_for_escape():
+    return check_for_key(K_ESCAPE)
+
+def finish_stuff(early=False):
+    return
+
+text_slide("""Start recording and
+press space to continue""")  
+wait_for_keys([K_SPACE])
+
+for i in xrange(words.shape[0]):
+    d = dict(words.ix[i])
+
+    word = d['word']
+
+    recognize_slide(word)
+    outlet.push_sample([d['id']], time.time())
+
+    key = wait_for_keys([K_1, K_4])
+    if key == K_ESCAPE:
+        finish_stuff(early=True)
+        exit()
+
+    labeled = key == K_4
+
+    words.ix[i, 'recognized'] = labeled
+    words.to_csv(words_fname)
+
+    focus_slide()
+    outlet.push_sample([-1], time.time())
+    time.sleep(0.5)
+
+simple_slide("END OF EXPERIMENT")
+exit()

lab3/paradigm/screen.py

@@ -0,0 +1,8 @@
+import pygame
+from pygame.locals import *
+from constants import *
+
+if fullscreen_on:
+    screen = pygame.display.set_mode(size, FULLSCREEN)
+else:
+    screen = pygame.display.set_mode(size)

lab3/paradigm/test_markers.py

@@ -0,0 +1,15 @@
+from pylsl import StreamInfo, StreamOutlet
+import numpy as np
+import time
+info = StreamInfo('Ganglion_EEG', 'Markers', 1, 0.0, 'int32',
+                  'marker')
+outlet = StreamOutlet(info)
+count = 0
+while True:
+    print(count)
+    stamp = time.time()
+    outlet.push_sample([count], stamp)
+    outlet.push_sample([count], stamp)
+    count += 1
+    time.sleep(0.1)
+    # print('Pushed Sample At: ' + strSample[0])

lab3/paradigm/word_list.csv

@@ -0,0 +1,899 @@
+freq,syl,let,word,imag,conc,meaning,list,id
+100,1,3,lip,6.57,6.93,5.32,1,1
+19,3,7,nursery,6.1,6.45,7.4,1,2
+20,1,3,ink,6.37,6.87,6.96,1,3
+50,3,8,evidence,3.23,3.45,6.2,1,4
+1,2,9,limelight,4.83,3.06,4.72,1,5
+30,2,5,angle,5.5,5.19,6.24,1,6
+100,1,4,king,6.27,6.34,7.5,1,7
+2,3,9,vestibule,5.43,6.73,6,1,8
+27,2,5,maker,3.57,4.46,5,1,9
+2,4,10,theologian,4.47,5.88,6.36,1,10
+8,4,9,violation,3.57,2.92,5.92,1,11
+2,2,9,sheepskin,6.13,6.83,6.44,1,12
+50,2,7,disease,4.87,5.63,7.44,1,13
+21,1,6,cradle,6.23,6.94,6.96,1,14
+3,3,10,rendezvous,5.2,4,6.04,1,15
+26,2,8,conquest,4.03,3.11,5.81,1,16
+3,4,8,immunity,3.43,2.46,5.76,1,17
+15,2,6,hamlet,5.87,6.19,6.56,1,18
+2,3,9,obsession,3.87,1.65,4.16,1,19
+2,2,9,horsehair,5.67,6.8,6.2,1,20
+100,1,4,rock,6.37,6.96,5.96,1,21
+19,2,9,landscape,6.43,6.2,7.12,1,22
+42,1,6,priest,6.53,6.59,6.88,1,23
+44,1,3,rod,5.97,6.62,6.04,1,24
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+1,5,11,impropriety,1.87,2.08,3.75,1,634
+4,3,7,fantasy,3.7,2.03,5.06,1,635
+12,2,6,saloon,6.43,6.7,7.12,1,636
+19,2,8,portrait,5.87,6.63,5.52,1,637
+1,4,9,accordion,6.5,7,5.89,1,638
+2,4,10,evangelist,4.97,5.95,5.28,1,639
+1,3,11,bereavement,3.87,2.49,5.75,1,640
+3,2,6,locker,6.27,6.96,6.44,1,641
+27,1,6,pledge,3.63,2.93,5.92,1,642
+100,3,8,industry,5.77,5.76,6,1,643
+3,1,3,keg,6.4,6.87,4.84,1,644
+3,4,12,supplication,2.8,2.89,4.04,1,645
+20,3,6,vanity,3.83,1.77,4.92,1,646
+23,1,6,warmth,5.7,4,7.36,1,647
+2,2,6,nectar,5.33,6.41,6.92,1,648
+1,3,6,sonata,4.53,5.73,5.56,1,649
+100,1,6,length,3.73,3.75,5.84,1,650
+31,3,9,agreement,3.33,2.93,4.48,1,651
+23,5,13,investigation,3.6,3.32,5.8,1,652
+1,4,11,functionary,1.77,2.62,4.29,1,653
+50,1,4,cell,6.47,6.63,7.52,1,654
+5,2,7,gingham,5.33,6.17,5.65,1,655
+100,2,4,city,6.43,6.41,7.72,1,656
+24,1,4,link,4.8,5.38,5.2,1,657
+21,2,6,fabric,5.6,6.55,6.48,1,658
+1,2,6,savant,3.07,3.02,3.88,1,659
+50,2,6,advice,3.13,2.08,5.39,1,660
+17,3,8,jealousy,4.72,1.77,4.88,1,661
+19,2,8,nonsense,3.07,1.9,4.12,1,662
+29,4,10,prosperity,4.47,2.78,5.44,1,663
+50,2,7,diamond,6.67,6.94,7.84,1,664
+4,2,9,cleanness,4.77,3.63,5.64,1,665
+1,3,8,barnacle,4.5,6.2,5.69,1,666
+45,3,9,candidate,4.67,5.53,5.76,1,667
+2,2,6,morgue,6.03,6.48,6.56,1,668
+9,3,8,revolver,6.7,6.96,7.4,1,669
+5,2,6,vacuum,4.77,3.87,5.94,1,670
+22,1,4,jail,6.43,6.69,7.38,1,671
+36,2,6,damsel,6.03,6.58,6.12,1,672
+23,1,5,hound,6.27,6.83,6,1,673
+50,4,10,automobile,6.87,7,6.16,1,674
+29,1,4,hint,2.57,3.35,3.72,1,675
+1,3,8,islander,5.43,6.28,5.48,1,676
+3,3,9,pollution,4.63,4.14,7.4,1,677
+100,1,5,dream,4.6,3.03,5.44,1,678
+2,4,11,vaccination,5.97,5.7,6.12,1,679
+50,1,7,science,4.07,3.05,6.56,1,680
+50,1,3,bar,6.4,6.83,6.08,1,681
+50,1,5,beast,5.9,6.51,6.08,1,682
+50,3,6,avenue,6.07,6.48,6.09,1,683
+1,4,7,alimony,4.47,4.87,5.72,1,684
+26,2,5,elbow,6.3,6.94,5.16,1,685
+22,3,10,reflection,5.9,3.12,6.56,1,686
+100,2,7,silence,4.1,3.09,5.82,1,687
+8,2,5,demon,4.7,2.56,5.04,1,688
+50,2,6,murder,5.4,4.6,7.8,1,689
+20,5,11,cooperation,3.4,1.92,4.67,1,690
+100,2,7,teacher,5.77,6.38,6,1,691
+2,4,8,delirium,4.8,2.79,5,1,692
+26,3,9,interview,5.03,4.34,4.88,1,693
+50,1,4,pole,6.1,6.93,6.2,1,694
+3,3,8,retailer,4.33,5.88,6.76,1,695
+50,1,5,shock,4.67,3.97,6.2,1,696
+25,2,7,prairie,6.47,6.8,8.16,1,697
+50,2,6,temple,6.13,6.69,6.75,1,698
+100,2,7,machine,6,6.75,5.88,1,699
+1,5,12,emancipation,3.2,2.49,5.2,1,700
+26,1,4,golf,6.7,6.1,8.16,1,701
+50,1,5,clock,6.5,6.94,7.08,1,702
+8,4,8,bacteria,5.33,6.38,6.12,1,703
+40,2,6,insect,6.1,6.8,6.32,1,704
+28,4,11,competition,4.53,3.08,5.69,1,705
+100,1,4,meat,6.63,6.93,8.32,1,706
+2,3,8,aptitude,2.6,1.62,5.25,1,707
+4,1,4,pact,3.5,3.77,5.12,1,708
+21,4,7,economy,3.2,2.28,5.88,1,709
+1,2,10,guardhouse,5.8,6.69,5.76,1,710
+1,4,10,abdication,3.57,2.66,4.72,1,711
+100,2,6,spirit,3.43,1.86,5.72,1,712
+100,1,4,ship,6.67,6.93,7.87,1,713
+3,4,11,predicament,3.3,2.18,4.64,1,714
+4,3,7,recital,4.97,5.19,5.56,1,715
+5,2,6,piston,5.37,6.87,7.4,1,716
+8,2,7,outcome,2.4,2.8,4.24,1,717
+1,3,8,falconer,4.03,5.9,5.64,1,718
+5,2,6,bandit,5.83,6.28,6.92,1,719
+11,1,5,spire,5.57,6.72,4.72,1,720
+50,2,6,series,4.47,3.88,5.36,1,721
+9,3,7,edifice,4.7,6.56,5.16,1,722
+10,2,6,malice,3.3,1.73,4.56,1,723
+8,3,10,instructor,5.7,6.45,6.29,1,724
+27,3,7,tragedy,4.7,2.59,5.84,1,725
+29,2,8,blessing,4.43,1.75,6.19,1,726
+20,1,4,fowl,5.87,6.58,7.36,1,727
+22,2,6,infant,6.33,6.76,7.2,1,728
+50,2,8,instance,2,2.87,4.04,1,729
+1,5,9,unreality,2.1,1.18,4.92,1,730
+100,3,6,animal,6.1,6.75,7,1,731
+50,2,5,hotel,6.4,6.8,5.96,1,732
+7,3,9,appliance,5.73,6.45,6.64,1,733
+1,4,9,amplifier,5.8,6.53,5.96,1,734
+27,3,9,intellect,2.93,1.83,5.56,1,735
+8,4,10,metropolis,5.97,5.62,6.28,1,736
+26,2,7,impulse,3.7,2.08,4.96,1,737
+27,2,5,bosom,6.57,6.09,5.5,1,738
+100,2,6,cotton,6,6.9,7.13,1,739
+6,4,9,alligator,6.87,6.93,7.72,1,740
+100,1,5,earth,6.27,6.58,7.56,1,741
+100,2,6,method,2.63,2.2,5.2,1,742
+22,2,7,assault,4.8,4.19,5.56,1,743
+100,1,6,health,4.1,3.54,6.39,1,744
+100,1,5,judge,6.27,6.25,7.04,1,745
+100,1,4,kiss,6.8,6.13,6.68,1,746
+3,2,7,shotgun,6.6,6.96,7.88,1,747
+1,3,7,interim,1.97,2.67,4.08,1,748
+34,2,6,hammer,6.73,6.96,6.92,1,749
+6,3,6,malady,3.37,3.72,6,1,750
+4,2,5,irony,2.83,2.1,5.24,1,751
+7,2,5,opium,4.6,6.44,5.88,1,752
+22,3,9,gratitude,3.7,1.59,4.32,1,753
+50,2,7,student,6.27,6.38,5.96,1,754
+100,1,4,lake,6.67,6.9,9.22,1,755
+1,2,6,icebox,6.17,6.9,6.28,1,756
+2,5,12,eccentricity,3.77,2.27,4.04,1,757
+50,2,7,fortune,4.57,3.82,6,1,758
+1,3,11,subtraction,3.8,3.73,5.52,1,759
+21,1,4,foam,6.33,6.73,6.44,1,760
+1,2,6,wigwam,6.23,6.83,5.88,1,761
+50,5,10,university,6.53,5.87,7.2,1,762
+2,2,6,hurdle,6.33,6.65,5.92,1,763
+50,1,4,poet,5.27,6.35,5.36,1,764
+2,4,9,brutality,4.9,3.19,5.06,1,765
+2,2,7,glutton,5.77,5.77,5.32,1,766
+32,2,6,cellar,6.27,6.83,6.79,1,767
+24,3,7,poverty,5.07,3.17,5.44,1,768
+36,1,4,lawn,6.57,6.96,7.28,1,769
+13,1,5,skull,6.47,6.96,6.64,1,770
+2,2,9,onslaught,3.67,3.34,5.84,1,771
+100,3,7,opinion,3.23,2.29,4.96,1,772
+2,3,10,disclosure,2.17,2.51,3.56,1,773
+1,2,9,timepiece,6.1,6.76,6.08,1,774
+22,4,7,anxiety,4.03,1.63,5.69,1,775
+50,2,6,author,4.53,6.04,5.24,1,776
+1,3,5,idiom,3,3.44,4.6,1,777
+1,2,8,steerage,3,4.29,4.65,1,778
+4,4,9,festivity,5.3,4.45,6.4,1,779
+20,2,8,mischief,4.03,2.9,5.44,1,780
+39,2,6,belief,2.73,1.55,5.24,1,781
+50,3,9,happiness,5.13,1.94,6,1,782
+1,2,5,amour,5.5,2.65,5.08,1,783
+50,2,6,volume,4.53,5.14,6.16,1,784
+4,3,9,performer,5.43,6.01,6.48,1,785
+2,2,7,pianist,6.43,6.55,5.96,1,786
+3,1,5,truce,4.8,3.05,6.17,1,787
+2,2,7,trellis,5.6,6.69,5,1,788
+100,1,5,stone,6.23,6.96,7.24,1,789
+50,2,5,event,2.9,3.72,5.04,1,790
+22,2,7,butcher,6.27,6.42,6.72,1,791
+100,1,5,woods,6.7,6.87,7.84,1,792
+1,2,7,hairpin,6.13,6.96,6,1,793
+25,2,7,painter,5.87,6.59,6.4,1,794
+3,3,8,tomahawk,6.57,6.87,6.44,1,795
+22,1,5,spray,6.17,6.21,6.48,1,796
+100,2,6,butter,6.57,6.96,6.91,1,797
+29,2,8,twilight,5.93,5.77,6.56,1,798
+19,2,6,crisis,3.43,2.81,5.44,1,799
+2,3,10,camouflage,5.2,5.26,6.38,1,800
+50,3,6,potato,6.5,7,7.13,1,801
+1,3,7,acrobat,6.53,6.38,5.67,1,802
+1,2,7,context,2.13,2.73,4.44,1,803
+24,2,6,sunset,6.83,6.07,6.96,1,804
+1,2,8,henchman,4.67,5.65,3.8,1,805
+1,3,7,perjury,3.37,2.7,5.92,1,806
+2,3,7,residue,4.87,5.72,4.48,1,807
+5,2,7,profile,5.97,5.72,5.6,1,808
+1,2,9,workhouse,4,6.31,4.88,1,809
+2,3,9,diffusion,3.4,3.18,5.67,1,810
+100,1,3,car,6.87,7,6.38,1,811
+37,3,11,destruction,5.27,3.61,5.32,1,812
+21,2,6,menace,3.73,3.7,5.04,1,813
+100,1,3,boy,6.57,6.93,6.96,1,814
+2,4,8,sobriety,3.5,2.9,4.52,1,815
+19,3,7,edition,3.4,4.64,5.88,1,816
+20,2,6,decree,3.3,4.58,5.16,1,817
+100,2,4,duty,3.17,2.32,5.6,1,818
+100,3,9,newspaper,6.57,6.56,6.12,1,819
+41,2,8,forehead,6.27,6.93,5.08,1,820
+50,2,6,palace,6.5,6.73,7.08,1,821
+8,3,9,ambulance,6.67,7,7.52,1,822
+1,3,9,feudalism,3.83,2.95,5.8,1,823
+19,2,8,hardship,4.1,2.93,5.48,1,824
+100,1,4,wife,6.53,6.52,6.48,1,825
+100,2,8,railroad,6.27,6.76,6.6,1,826
+20,2,7,charter,3.83,5.05,4.89,1,827
+1,5,11,unification,2.77,2.51,4.76,1,828
+22,2,6,nephew,4.3,6.19,4.48,1,829
+11,2,7,sadness,4.63,2.47,5.56,1,830
+28,1,5,stain,5.93,6.25,5.25,1,831
+2,4,8,panorama,4.47,4.18,5.72,1,832
+22,2,6,salute,5.77,5,6.52,1,833
+50,2,6,artist,5.93,6.14,6.65,1,834
+100,1,4,seat,6.4,6.79,6.08,1,835
+2,2,6,encore,4,3.62,5.72,1,836
+23,2,6,banner,5.93,6.58,6.2,1,837
+30,1,4,cord,6.03,6.93,6,1,838
+2,2,6,deluge,4.57,4.38,5.32,1,839
+7,3,7,caravan,5.83,6.15,6.52,1,840
+30,4,10,inhabitant,4.33,6,5.33,1,841
+24,1,3,gem,6.4,6.59,6.88,1,842
+27,2,6,robber,5.67,6.25,6.88,1,843
+8,3,8,beverage,5.87,5.96,6.58,1,844
+100,1,4,love,5.6,1.8,6.44,1,845
+1,3,8,citation,3.57,4.42,5.06,1,846
+1,4,10,unbeliever,2.6,4,4.72,1,847
+8,3,9,infection,4.87,5.08,6.12,1,848
+1,2,6,surtax,1.63,4.12,2.96,1,849
+29,3,8,incident,2.9,3,4.16,1,850
+100,1,5,house,6.67,6.93,6.83,1,851
+50,2,6,vessel,5.9,6.99,7.82,1,852
+3,2,7,mileage,4.53,4.36,6.72,1,853
+9,3,7,bravery,4.4,1.93,6.44,1,854
+22,3,10,permission,2.87,4.43,4.68,1,855
+20,2,8,hillside,6.3,6.59,6.92,1,856
+1,3,8,emporium,2.93,5.16,4.04,1,857
+2,2,7,skillet,6.1,6.8,7.43,1,858
+100,1,3,sea,6.73,6.79,7.16,1,859
+7,2,8,prestige,3.67,1.73,4.56,1,860
+8,1,5,whale,6.5,6.96,7.24,1,861
+3,1,5,greed,3.53,1.73,5.52,1,862
+1,3,8,clemency,2.9,1.97,3.94,1,863
+50,4,8,majority,3.63,3.48,5.48,1,864
+22,3,9,attribute,2.4,2,3.83,1,865
+50,2,5,glory,4.13,1.77,5.88,1,866
+41,2,6,humour,4.57,2.31,5.72,1,867
+23,3,12,headquarters,5.03,5.94,5.08,1,868
+5,2,6,poster,6.33,6.96,6.2,1,869
+8,3,7,utensil,5.47,6.58,6.08,1,870
+8,4,11,mathematics,4.5,4.35,6.88,1,871
+50,2,6,prison,6.23,6.62,7.21,1,872
+7,3,8,kerosene,5.77,6.87,6.04,1,873
+3,2,7,hostage,5.57,6.05,6.4,1,874
+23,3,10,restaurant,6.47,6.83,6.88,1,875
+27,2,5,baron,5.1,5.77,5.72,1,876
+1,2,6,python,5.47,6.42,5.88,1,877
+21,1,4,vest,6.37,6.73,5.96,1,878
+4,5,9,animosity,3.6,1.81,5.19,1,879
+1,2,7,invoice,5.17,6.14,6.28,1,880
+1,2,7,doorman,6.4,6.52,6.28,1,881
+100,1,3,arm,6.53,6.96,6.92,1,882
+50,3,10,confidence,3.4,1.52,4.17,1,883
+20,1,4,harp,6.6,6.94,6,1,884
+17,2,7,pudding,6.27,6.6,7.31,1,885
+4,2,7,dreamer,5.33,5.1,5.04,1,886
+50,4,9,vegetable,5.83,6.76,6.92,1,887
+1,3,8,copybook,4.6,6.62,3.61,1,888
+1,3,9,disturber,4.1,5.07,4.6,1,889
+27,2,6,vapour,4.8,5.93,5.76,1,890
+29,2,6,beggar,6.4,6.25,6.5,1,891
+100,2,6,dollar,6.5,6.62,6.48,1,892
+37,3,9,affection,4.87,2.18,6.36,1,893
+21,2,8,contents,3.57,4.25,5,1,894
+5,2,5,abyss,5.17,5.4,5.88,1,895
+28,2,5,salad,6.53,6.83,7.2,1,896
+50,1,5,steam,6.37,6.41,7.46,1,897
+19,2,9,fireplace,6.83,6.96,7.08,1,898

lab3/paradigm/words.py

@@ -0,0 +1,126 @@
+import random
+
+words = [
+    "behind",
+    "allusion",
+    "volleyball",
+    "frescoes",
+    "scattering",
+    "evading",
+    "quizzed",
+    "hangar",
+    "duopolist",
+    "comet",
+    "sailor",
+    "transparency",
+    "intersperse",
+    "disgruntle",
+    "believed",
+    "cloning",
+    "seams",
+    "checkmate",
+    "glue",
+    "clever",
+    "waved",
+    "innuendo",
+    "pigtail",
+    "impactor",
+    "willa",
+    "shimming",
+    "censor",
+    "adulterate",
+    "giant",
+    "conceptualization",
+    "beautiful",
+    "billybob",
+    "alfalfa",
+    "introducing",
+    "commonplace",
+    "prizewinning",
+    "disable",
+    "crouched",
+    "sauce",
+    "dissident",
+    "safes",
+    "lard",
+    "movement",
+    "surmises",
+    "insight",
+    "nationalist",
+    "renaming",
+    "coroutine",
+    "corrupts",
+    "serape",
+    "estate",
+    "halfhearted",
+    "slaying",
+    "kahuna",
+    "readouts",
+    "blower",
+    "sashay",
+    "differentiation",
+    "befalling",
+    "cotman",
+    "gasket",
+    "sentiments",
+    "finalization",
+    "transplant",
+    "analytical",
+    "quadrature",
+    "deeming",
+    "washed",
+    "enrollment",
+    "antiquarian",
+    "thyratron",
+    "acclimating",
+    "gum",
+    "millionaires",
+    "steeled",
+    "skye",
+    "transistor",
+    "magnifier",
+    "goodtime",
+    "harsher",
+    "digitally",
+    "inter",
+    "closers",
+    "spoof",
+    "hoagland",
+    "alsop",
+    "predicate",
+    "trance",
+    "shuddery",
+    "occupant",
+    "bronx",
+    "persuaded",
+    "antics",
+    "surrounds",
+    "tableland",
+    "nieces",
+    "symptoms",
+    "drub",
+    "freak",
+    "botulinus",
+    "reliableness",
+    "murmured",
+    "russ",
+    "inquirers",
+    "mothering",
+    "mammoth",
+    "to",
+    "stiff",
+    "algorithmically",
+    "twists",
+    "competing",
+    "catholicism",
+    "thinnish",
+    "bathe",
+    "sierra",
+    "barometric",
+    "formed",
+    "law",
+    "mutterers",
+    "recurred"
+]
+
+random.shuffle(words)