forked from bfijalkowski/KWT-2024
new code
This commit is contained in:
Adam Stelmaszyk
parent
018f891442
commit
0c0ef36a89
222
lab/lab_12.ipynb
222
lab/lab_12.ipynb
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@ -65,19 +65,34 @@
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 6,
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"id": "broken-workstation",
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"metadata": {},
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"outputs": [],
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"outputs": [
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{
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"ename": "KeyboardInterrupt",
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"evalue": "",
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"output_type": "error",
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"traceback": [
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"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
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"\u001b[0;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)",
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"Cell \u001b[0;32mIn[6], line 10\u001b[0m\n\u001b[1;32m 6\u001b[0m f\u001b[38;5;241m.\u001b[39mwrite(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mdatetime\u001b[38;5;241m.\u001b[39mnow()\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m - \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mkey\u001b[38;5;241m.\u001b[39mname\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 8\u001b[0m keyboard\u001b[38;5;241m.\u001b[39mon_press(log_key)\n\u001b[0;32m---> 10\u001b[0m \u001b[43mkeyboard\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mwait\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n",
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"File \u001b[0;32m/opt/homebrew/lib/python3.11/site-packages/keyboard/__init__.py:886\u001b[0m, in \u001b[0;36mwait\u001b[0;34m(hotkey, suppress, trigger_on_release)\u001b[0m\n\u001b[1;32m 884\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 885\u001b[0m \u001b[38;5;28;01mwhile\u001b[39;00m \u001b[38;5;28;01mTrue\u001b[39;00m:\n\u001b[0;32m--> 886\u001b[0m \u001b[43m_time\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msleep\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m1e6\u001b[39;49m\u001b[43m)\u001b[49m\n",
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"\u001b[0;31mKeyboardInterrupt\u001b[0m: "
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]
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}
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],
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"source": [
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"import keyboard\n",
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"from datetime import datetime\n",
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"\n",
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"def log_key(key):\n",
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" with open(\"txt/keylog.txt\", \"a\") as f:\n",
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" f.write(f\"{datetime.now()} - {key.name}\\n\")\n",
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"\n",
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"def report_key(event):\n",
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" print(event)\n",
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"keyboard.on_press(log_key)\n",
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"\n",
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"keyboard.on_release(callback=report_key)\n",
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"keyboard.wait()"
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"keyboard.wait()\n"
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]
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},
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{
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@ -96,6 +111,36 @@
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"### Ćwiczenie 1: Wykorzystując powyższy kod napisz keylogger, który zapisuje wszystkie uderzenia w klawisze do pliku. Format pliku jest dowolny, każdy wpis musi zawierać precyzyjną godzinę uderzenia oraz uderzony klawisz. Uruchom program i przepisz paragraf dowolnie wybranego tekstu."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"id": "e1fd5d69",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"<function keyboard.hook.<locals>.remove_()>"
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]
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},
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"execution_count": 5,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"import keyboard\n",
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"import time\n",
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"\n",
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"def log_keystroke(event):\n",
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" with open(\"txt/keystroke_log.txt\", \"a\") as log_file:\n",
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" log_time = time.strftime(\"%Y-%m-%d %H:%M:%S\", time.localtime())\n",
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" log_file.write(f\"{log_time} - {event.name}\\n\")\n",
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"\n",
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"keyboard.on_press(log_keystroke)\n",
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"keyboard.wait()"
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]
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},
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{
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"cell_type": "markdown",
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"id": "valuable-bearing",
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@ -117,12 +162,76 @@
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"execution_count": 1,
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"id": "possible-holder",
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"metadata": {},
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"outputs": [],
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"This process is not trusted! Input event monitoring will not be possible until it is added to accessibility clients.\n"
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]
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},
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Rozpocznij pisanie. Naciśnij 'esc' aby zakończyć i zobaczyć wyniki.\n",
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"Średnia prędkość pisania: 733.09 znaków na minutę\n",
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"Średnia prędkość pisania: 146.62 słów na minutę\n"
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]
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}
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],
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"source": [
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"def calculate_typing_speed():\n",
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" return 0"
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"from pynput import keyboard\n",
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"from datetime import datetime, timedelta\n",
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"\n",
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"key_times = []\n",
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"last_time = None\n",
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"\n",
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"def on_press(key):\n",
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" global last_time\n",
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" current_time = datetime.now()\n",
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" \n",
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" if last_time and (current_time - last_time) > timedelta(seconds=5):\n",
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" key_times.clear()\n",
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" \n",
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" key_times.append(current_time)\n",
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" last_time = current_time\n",
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"\n",
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"def calculate_speed():\n",
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" if len(key_times) < 2:\n",
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" print(\"Zbyt mało danych do obliczenia prędkości pisania.\")\n",
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" return\n",
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" \n",
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" total_time = (key_times[-1] - key_times[0]).total_seconds() / 60\n",
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" \n",
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" num_chars = len(key_times)\n",
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" num_words = num_chars / 5\n",
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" \n",
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" chars_per_minute = num_chars / total_time\n",
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" words_per_minute = num_words / total_time\n",
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" \n",
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" print(f\"Średnia prędkość pisania: {chars_per_minute:.2f} znaków na minutę\")\n",
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" print(f\"Średnia prędkość pisania: {words_per_minute:.2f} słów na minutę\")\n",
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"\n",
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"def on_release(key):\n",
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" if key == keyboard.Key.esc:\n",
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" calculate_speed()\n",
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" return False\n",
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"\n",
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"with keyboard.Listener(on_press=on_press, on_release=on_release) as listener:\n",
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" print(\"Rozpocznij pisanie. Naciśnij 'esc' aby zakończyć i zobaczyć wyniki.\")\n",
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" listener.join()\n",
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"\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "03ba2685",
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "markdown",
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"id": "ceramic-birth",
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@ -141,28 +250,100 @@
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"execution_count": 7,
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"id": "close-riverside",
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"metadata": {},
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"outputs": [],
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"This process is not trusted! Input event monitoring will not be possible until it is added to accessibility clients.\n"
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]
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},
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Rozpocznij pisanie. Naciśnij 'esc' aby zakończyć i zobaczyć wyniki.\n",
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"Przerwa: 3.82 sekund\n",
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"Kontekst przed przerwą: ...fsdjfdnsjfjdnfjdfnj[Key.esc]\n",
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"Kontekst po przerwie: ...\n",
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"\n"
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]
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}
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],
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"source": [
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"def find_pauses():\n",
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" return []"
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"from pynput import keyboard\n",
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"from datetime import datetime, timedelta\n",
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"\n",
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"key_times = []\n",
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"key_text = []\n",
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"last_time = None\n",
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"breaks = []\n",
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"\n",
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"def key_to_string(key):\n",
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" try:\n",
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" return key.char\n",
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" except AttributeError:\n",
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" if key == keyboard.Key.space:\n",
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" return ' '\n",
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" return f'[{str(key)}]'\n",
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"\n",
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"def on_press(key):\n",
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" global last_time\n",
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" current_time = datetime.now()\n",
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" \n",
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" key_times.append(current_time)\n",
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" key_text.append(key_to_string(key))\n",
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" \n",
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" if last_time and (current_time - last_time) > timedelta(seconds=3):\n",
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" context_start = max(0, len(key_text) - 20)\n",
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" context_end = len(key_text)\n",
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" context_before = ''.join(key_text[context_start:context_end])\n",
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" \n",
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" context_start = len(key_text)\n",
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" context_end = min(len(key_text) + 20, len(key_text))\n",
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" context_after = ''.join(key_text[context_start:context_end])\n",
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" \n",
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" breaks.append((current_time - last_time, context_before, context_after))\n",
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" \n",
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" last_time = current_time\n",
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"\n",
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"def report_breaks():\n",
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" if not breaks:\n",
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" print(\"Nie wykryto przerw dłuższych niż 3 sekundy.\")\n",
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" return\n",
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" \n",
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" breaks.sort(reverse=True, key=lambda x: x[0])\n",
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" \n",
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" for duration, context_before, context_after in breaks:\n",
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" print(f\"Przerwa: {duration.total_seconds():.2f} sekund\")\n",
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" print(f\"Kontekst przed przerwą: ...{context_before}\")\n",
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" print(f\"Kontekst po przerwie: {context_after}...\")\n",
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" print()\n",
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"\n",
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"def on_release(key):\n",
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" if key == keyboard.Key.esc:\n",
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" report_breaks()\n",
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" return False\n",
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"\n",
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"with keyboard.Listener(on_press=on_press, on_release=on_release) as listener:\n",
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" print(\"Rozpocznij pisanie. Naciśnij 'esc' aby zakończyć i zobaczyć wyniki.\")\n",
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" listener.join()\n",
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"\n"
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]
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}
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],
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"metadata": {
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"author": "Rafał Jaworski",
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"email": "rjawor@amu.edu.pl",
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"lang": "pl",
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"subtitle": "12. Key logging",
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"title": "Komputerowe wspomaganie tłumaczenia",
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"year": "2021",
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"lang": "pl",
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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@ -173,8 +354,11 @@
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.8.10"
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}
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"version": "3.11.9"
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},
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"subtitle": "12. Key logging",
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"title": "Komputerowe wspomaganie tłumaczenia",
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"year": "2021"
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},
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"nbformat": 4,
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"nbformat_minor": 5
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@ -44,7 +44,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"execution_count": null,
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"id": "familiar-terrace",
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"metadata": {
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"scrolled": true
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@ -91,6 +91,14 @@
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" print(line.rstrip())"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "bee601d9",
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "markdown",
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"id": "dominant-insurance",
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@ -120,13 +128,41 @@
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 11,
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"id": "economic-southeast",
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"metadata": {},
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"outputs": [],
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"[('auto', 1)]\n",
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"[('adam', 1), ('jest', 1), ('fajny', 1)]\n",
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"[('brak', 1), ('słów', 1)]\n",
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"[('chrzaszcz', 0)]\n"
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]
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}
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],
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"source": [
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"def correct_text(text):\n",
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" return []"
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"from zipfile import ZipFile\n",
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"\n",
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"dictionary = set\n",
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"\n",
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"with ZipFile('data/hunspell_pl.zip') as zip_f:\n",
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" with zip_f.open('hunspell_pl.txt') as f:\n",
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" dictionary = set([line.strip().lower() for line in f.read().decode('utf-8').splitlines()])\n",
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"\n",
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"def correct_text(phrase):\n",
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" return [(word, 1) if word in dictionary\n",
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" else (word, 0)\n",
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" for word in phrase.lower().split()]\n",
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"\n",
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"# 0 - źle\n",
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"# 1 - dobrze\n",
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"print(correct_text('Auto'))\n",
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"print(correct_text('Adam jest fajny'))\n",
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"print(correct_text('Brak słów'))\n",
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"print(correct_text('Chrzaszcz'))"
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]
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},
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{
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@ -168,13 +204,34 @@
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"execution_count": 5,
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"id": "built-sally",
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"metadata": {},
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"outputs": [],
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"source": [
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"def L1(w):\n",
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" return []"
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"import numpy as np\n",
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"\n",
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"def levenshtein_distance(a, b):\n",
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" n, m = len(a), len(b)\n",
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" if n > m:\n",
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" a, b = b, a\n",
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" n, m = m, n\n",
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"\n",
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" current_row = np.arange(n + 1)\n",
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" for i in range(1, m + 1):\n",
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" previous_row, current_row = current_row, np.zeros(n + 1, dtype=int)\n",
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" current_row[0] = i\n",
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" for j in range(1, n + 1):\n",
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" insertions = previous_row[j] + 1\n",
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" deletions = current_row[j - 1] + 1\n",
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" substitutions = previous_row[j - 1] + (a[j - 1] != b[i - 1])\n",
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" current_row[j] = min(insertions, deletions, substitutions)\n",
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"\n",
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" return current_row[n]\n",
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"\n",
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"\n",
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"def L1(word, dictionary, max_distance=1):\n",
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" return [dict_word for dict_word in dictionary if levenshtein_distance(word, dict_word) <= max_distance]"
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]
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},
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{
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@ -187,13 +244,45 @@
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"execution_count": 6,
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"id": "coordinated-cooperation",
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"metadata": {},
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"outputs": [],
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"source": [
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"def generate_suggestions(w):\n",
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" return []"
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"def generate_suggestions(word, dictionary):\n",
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" return L1(word, dictionary)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 8,
|
||||
"id": "0c7843bb",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"['ato', 'alto', 'huto', 'luto', 'autko', 'autor', 'auto', 'aut']\n",
|
||||
"['adams', 'adm', 'dam', 'ada', 'edam', 'adad', 'adym', 'asam', 'adaś', 'adat', 'aram', 'adam']\n",
|
||||
"['fajny', 'fajno', 'tajny', 'farny']\n",
|
||||
"[]\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"from zipfile import ZipFile\n",
|
||||
"\n",
|
||||
"dictionary = set\n",
|
||||
"\n",
|
||||
"with ZipFile('data/hunspell_pl.zip') as zip_f:\n",
|
||||
" with zip_f.open('hunspell_pl.txt') as f:\n",
|
||||
" dictionary = set([line.strip().lower() for line in f.read().decode('utf-8').splitlines()])\n",
|
||||
" \n",
|
||||
"print(generate_suggestions('auto', dictionary))\n",
|
||||
"print(generate_suggestions('adam', dictionary))\n",
|
||||
"print(generate_suggestions('fajny', dictionary))\n",
|
||||
"print(generate_suggestions('chrzazszcz', dictionary))"
|
||||
]
|
||||
}
|
||||
],
|
||||
|
|
@ -216,7 +305,7 @@
|
|||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.8.10"
|
||||
"version": "3.11.9"
|
||||
},
|
||||
"subtitle": "13,14. Korekta pisowni",
|
||||
"title": "Komputerowe wspomaganie tłumaczenia",
|
||||
|
|
|
|||
Loading…
Reference in New Issue