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lab 11-14

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This commit is contained in:
Patryk 2024-05-28 23:44:55 +02:00
parent 824f7d373d
commit a3dca39152
3 changed files with 147 additions and 22 deletions
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56
lab/lab_11.ipynb
View File

@ -52,13 +52,22 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 1, "execution_count": 2,
"id": "german-dispute", "id": "german-dispute",
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [ "source": [
"def sentence_split(text):\n", "def sentence_split(text):\n",
" return []" " def purge(text_l: str) -> str:\n",
" return text_l.strip('.').strip()\n",
" index = 0\n",
" result = []\n",
" for match in regex.finditer(r'\\. \\p{Lu}|\\n', text):\n",
" result.append(purge(text[index:match.start(0)]))\n",
" index = match.start(0)\n",
" result.append(purge(text[index:len(text)]))\n",
"\n",
" return result"
] ]
}, },
{ {
@ -69,6 +78,14 @@
"### Ćwiczenie 2: Uruchom powyższy algorytm na treści wybranej przez siebie strony internetowej (do ściągnięcia treści strony wykorzystaj kod z laboratoriów nr 7). Zidentyfikuj co najmniej dwa wyjątki od ogólnej reguły podziału na segmenty i ulepsz algorytm." "### Ćwiczenie 2: Uruchom powyższy algorytm na treści wybranej przez siebie strony internetowej (do ściągnięcia treści strony wykorzystaj kod z laboratoriów nr 7). Zidentyfikuj co najmniej dwa wyjątki od ogólnej reguły podziału na segmenty i ulepsz algorytm."
] ]
}, },
{
"cell_type": "markdown",
"id": "20bc0bf7-35b7-44e5-8750-c22e6de9d048",
"metadata": {},
"source": [
"Dwa wyjatki to zdania zakończone wykrzyknikiem i zdania zakończone znakiem zapytania"
]
},
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 3, "execution_count": 3,
@ -76,8 +93,17 @@
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [ "source": [
"def sentence_split_enhanced(text):\n", "def sentence_split(text):\n",
" return []" " def purge(text_l: str) -> str:\n",
" return text_l.strip('.').strip('?').strip('!').strip()\n",
" index = 0\n",
" result = []\n",
" for match in regex.finditer(r'(\\.|\\?|\\!) \\p{Lu}|\\n', text):\n",
" result.append(purge(text[index:match.start(0)]))\n",
" index = match.start(0)\n",
" result.append(purge(text[index:len(text)]))\n",
"\n",
" return result"
] ]
}, },
{ {
@ -117,6 +143,14 @@
"Wyjściem z Hunaligna jest plik w specjalnym formacie Hunaligna. Problem jednak w tym, że niestety nie można go w prosty sposób zaimportować do jakiegokolwiek narzędzia typu CAT. Potrzebna jest konwersja do któregoś z bardziej popularnych formatów, np. XLIFF." "Wyjściem z Hunaligna jest plik w specjalnym formacie Hunaligna. Problem jednak w tym, że niestety nie można go w prosty sposób zaimportować do jakiegokolwiek narzędzia typu CAT. Potrzebna jest konwersja do któregoś z bardziej popularnych formatów, np. XLIFF."
] ]
}, },
{
"cell_type": "markdown",
"id": "80360005-5110-4f83-bfd6-dbe22a1d5b5b",
"metadata": {},
"source": [
"## *Linki do pobrania tego progamu(ftp://ftp.mokk.bme.hu/Hunglish/src/hunalign/latest/hunalign-1.1-windows.zip), dostępne w README na githubie, nie działają.*"
]
},
{ {
"cell_type": "markdown", "cell_type": "markdown",
"id": "divided-chain", "id": "divided-chain",
@ -187,15 +221,12 @@
"metadata": { "metadata": {
"author": "Rafał Jaworski", "author": "Rafał Jaworski",
"email": "rjawor@amu.edu.pl", "email": "rjawor@amu.edu.pl",
"lang": "pl",
"subtitle": "11. Urównoleglanie",
"title": "Komputerowe wspomaganie tłumaczenia",
"year": "2021",
"kernelspec": { "kernelspec": {
"display_name": "Python 3", "display_name": "Python 3 (ipykernel)",
"language": "python", "language": "python",
"name": "python3" "name": "python3"
}, },
"lang": "pl",
"language_info": { "language_info": {
"codemirror_mode": { "codemirror_mode": {
"name": "ipython", "name": "ipython",
@ -206,8 +237,11 @@
"name": "python", "name": "python",
"nbconvert_exporter": "python", "nbconvert_exporter": "python",
"pygments_lexer": "ipython3", "pygments_lexer": "ipython3",
"version": "3.8.10" "version": "3.10.4"
} },
"subtitle": "11. Urównoleglanie",
"title": "Komputerowe wspomaganie tłumaczenia",
"year": "2021"
}, },
"nbformat": 4, "nbformat": 4,
"nbformat_minor": 5 "nbformat_minor": 5

109
lab/lab_12.ipynb
View File

@ -96,6 +96,26 @@
"### 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." "### 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."
] ]
}, },
{
"cell_type": "code",
"execution_count": null,
"id": "8663ef15-88a0-4bb5-aff9-f19cbb3178c1",
"metadata": {},
"outputs": [],
"source": [
"import keyboard\n",
"\n",
"\n",
"def report_key(event: keyboard.KeyboardEvent):\n",
" file = open('test.txt', 'a')\n",
" file.write(f'[{event.time}] {event.name}\\n')\n",
" file.close()\n",
"\n",
"\n",
"keyboard.on_release(callback=report_key)\n",
"keyboard.wait()"
]
},
{ {
"cell_type": "markdown", "cell_type": "markdown",
"id": "valuable-bearing", "id": "valuable-bearing",
@ -120,7 +140,40 @@
"outputs": [], "outputs": [],
"source": [ "source": [
"def calculate_typing_speed():\n", "def calculate_typing_speed():\n",
" return 0" " import re\n",
" import numpy\n",
"\n",
" def parse(line_l: str) -> (float, str):\n",
" res = re.findall(r'(\\d+.\\d+)|([a-zA-Z,.]+)', ''.join(line_l.split()))\n",
" return float(res[0][0]), res[1][1]\n",
"\n",
" file = open('test.txt', 'r')\n",
" time_per_word = []\n",
" time_per_character = []\n",
" local_time_per_word = []\n",
"\n",
" prev_char_timestamp = None\n",
" for line in file:\n",
" time, key = parse(line)\n",
" if prev_char_timestamp is None or time - prev_char_timestamp > 5:\n",
" prev_char_timestamp = time\n",
" local_time_per_word = []\n",
" continue\n",
" elapsed = time - prev_char_timestamp\n",
" time_per_character.append(elapsed)\n",
" if key == 'space' or key == 'enter' or key == ',' or key == '.':\n",
" if len(local_time_per_word) > 0:\n",
" time_per_word.append(numpy.sum(local_time_per_word))\n",
" local_time_per_word = []\n",
" time_per_character.append(elapsed)\n",
" prev_char_timestamp = time\n",
" continue\n",
" local_time_per_word.append(elapsed)\n",
" prev_char_timestamp = time\n",
" file.close()\n",
" time_per_word.append(numpy.sum(local_time_per_word))\n",
" \n",
" return 60 / numpy.average(time_per_character), 60 / numpy.average(time_per_word)"
] ]
}, },
{ {
@ -147,22 +200,57 @@
"outputs": [], "outputs": [],
"source": [ "source": [
"def find_pauses():\n", "def find_pauses():\n",
" return []" " import re\n",
"\n",
" def parse(line_l: str) -> (float, str):\n",
" res = re.findall(r'(\\d+.\\d+)|([a-zA-Z,.]+)', ''.join(line_l.split()))\n",
" return float(res[0][0]), res[1][1]\n",
"\n",
" file = open('test.txt', 'r')\n",
" stops = []\n",
" stop_reporting_time = 1\n",
"\n",
" prev_char_timestamp = None\n",
" lines = file.readlines()\n",
" file.close()\n",
" for i in range(len(lines)):\n",
" time, key = parse(lines[i])\n",
" if prev_char_timestamp is None:\n",
" prev_char_timestamp = time\n",
" continue\n",
" elapsed = time - prev_char_timestamp\n",
" if elapsed > stop_reporting_time:\n",
" context_start = max(0, i - 20)\n",
" context_end = min(len(lines), i + 20)\n",
" context_before = ''\n",
" context_after = ''\n",
" for j in range(context_start, i):\n",
" time_l, key_l = parse(lines[j])\n",
" context_before += key_l\n",
" for j in range(i, context_end):\n",
" time_l, key_l = parse(lines[j])\n",
" context_after += key_l\n",
" stops.append((elapsed, (context_before, context_after)))\n",
" prev_char_timestamp = time\n",
"\n",
" def stop_sort(record: tuple):\n",
" return record[0]\n",
"\n",
" stops.sort(reverse=True, key=stop_sort)\n",
" \n",
" return stops"
] ]
} }
], ],
"metadata": { "metadata": {
"author": "Rafał Jaworski", "author": "Rafał Jaworski",
"email": "rjawor@amu.edu.pl", "email": "rjawor@amu.edu.pl",
"lang": "pl",
"subtitle": "12. Key logging",
"title": "Komputerowe wspomaganie tłumaczenia",
"year": "2021",
"kernelspec": { "kernelspec": {
"display_name": "Python 3", "display_name": "Python 3 (ipykernel)",
"language": "python", "language": "python",
"name": "python3" "name": "python3"
}, },
"lang": "pl",
"language_info": { "language_info": {
"codemirror_mode": { "codemirror_mode": {
"name": "ipython", "name": "ipython",
@ -173,8 +261,11 @@
"name": "python", "name": "python",
"nbconvert_exporter": "python", "nbconvert_exporter": "python",
"pygments_lexer": "ipython3", "pygments_lexer": "ipython3",
"version": "3.8.10" "version": "3.10.4"
} },
"subtitle": "12. Key logging",
"title": "Komputerowe wspomaganie tłumaczenia",
"year": "2021"
}, },
"nbformat": 4, "nbformat": 4,
"nbformat_minor": 5 "nbformat_minor": 5

4
lab/lab_13-14.ipynb
View File

@ -201,7 +201,7 @@
"author": "Rafał Jaworski", "author": "Rafał Jaworski",
"email": "rjawor@amu.edu.pl", "email": "rjawor@amu.edu.pl",
"kernelspec": { "kernelspec": {
"display_name": "Python 3", "display_name": "Python 3 (ipykernel)",
"language": "python", "language": "python",
"name": "python3" "name": "python3"
}, },
@ -216,7 +216,7 @@
"name": "python", "name": "python",
"nbconvert_exporter": "python", "nbconvert_exporter": "python",
"pygments_lexer": "ipython3", "pygments_lexer": "ipython3",
"version": "3.8.10" "version": "3.10.4"
}, },
"subtitle": "13,14. Korekta pisowni", "subtitle": "13,14. Korekta pisowni",
"title": "Komputerowe wspomaganie tłumaczenia", "title": "Komputerowe wspomaganie tłumaczenia",