forked from bfijalkowski/KWT-2024
'labs1'
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lab/lab_01.ipynb
132
lab/lab_01.ipynb
@ -251,10 +251,40 @@
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"tm_lookup('Wciśnij przycisk [ENTER]')"
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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": 1,
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"id": "36510584-d363-444d-bfdb-2f0260d197cd",
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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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"['Press the ENTER button']"
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]
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},
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"execution_count": 1,
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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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"translation_memory = [('Wciśnij przycisk Enter', 'Press the ENTER button'), \n",
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" ('Sprawdź ustawienia sieciowe', 'Check the network settings')]\n",
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"\n",
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"def tm_lookup(sentence):\n",
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" return [entry[1] for entry in translation_memory if entry[0].lower() == sentence.lower()]\n",
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"\n",
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"#tm_lookup('Wciśnij przycisk Enter') # -> ['Press the ENTER button'] OK\n",
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"tm_lookup('Wciśnij przycisk ENTER') # -> ['Press the ENTER button'] OK"
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]
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},
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{
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"cell_type": "markdown",
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"id": "choice-committee",
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"metadata": {},
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"metadata": {
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"tags": []
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},
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"source": [
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"### Ćwiczenie 2: zmodyfikuj funkcję tm_lookup w taki sposób, aby nie brała pod uwagę znaków interpunkcyjnych. Rada - zdefiniuj funkcję sentence_similar."
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]
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@ -299,6 +329,66 @@
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"tm_lookup('Wymagane ponowne uruchomienie maszyny')"
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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": 24,
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"id": "25af95de-30e0-468c-8c0c-2478ce0d8856",
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"metadata": {},
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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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"wciśnijprzyciskenter\n",
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"wciśnijprzyciskenter\n"
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]
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},
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{
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"data": {
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"text/plain": [
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"'Press the ENTER button'"
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]
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},
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"execution_count": 24,
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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 re\n",
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"translation_memory = [('Wciśnij przycisk Enter', 'Press the ENTER button'), \n",
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" ('Sprawdź ustawienia sieciowe', 'Check the network settings')]\n",
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"\n",
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"def sentence_cleanup(sentence):\n",
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" x = sentence.replace(\" \", \"\")\n",
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" x = x.replace(\"\\s\", \"\")\n",
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" x = x.replace(\"\\t\", \"\")\n",
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" x = x.replace(\"\\v\", \"\")\n",
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" x = x.replace(\"\\n\", \"\")\n",
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" x = x.replace(\"\\r\", \"\")\n",
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" x = x.replace(\"\\f\", \"\")\n",
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" x = x.replace(\".\", \"\")\n",
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" x = x.replace(\"!\", \"\")\n",
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" x = x.replace(\":\", \"\")\n",
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" x = x.replace('?', \"\")\n",
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" x = x.replace(\";\", \"\")\n",
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" x = x.replace('\"', \"\")\n",
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" x = x.lower()\n",
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" print(x)\n",
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" return x\n",
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"\n",
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"def tm_lookup(sentence):\n",
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" for entry in translation_memory:\n",
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" part1 = entry[0]\n",
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" part2 = entry[1]\n",
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" better_sentence = sentence_cleanup(sentence)\n",
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" better_entry = sentence_cleanup(part1)\n",
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" if better_entry == better_sentence:\n",
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" return part2\n",
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"\n",
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"tm_lookup('Wciśnij przycisk:ENTER!') # -> ['Press the ENTER button'] OK"
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]
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},
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{
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"cell_type": "markdown",
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"id": "guided-tutorial",
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@ -409,6 +499,34 @@
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"Odpowiedź:"
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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": 31,
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"id": "6347bc85-194d-45c4-a30d-5e5e06033821",
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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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"[('przycisk', 'button'), ('drukarka', 'printer')]"
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]
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},
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"execution_count": 31,
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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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"glossary = [('komputer', 'computer'), ('przycisk', 'button'), ('drukarka', 'printer')]\n",
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"\n",
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"def glossary_lookup(sentence):\n",
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" better_sentence = sentence.lower()\n",
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" sentence_words = better_sentence.split()\n",
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" return [entry for entry in glossary if entry[0] in sentence_words]\n",
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"\n",
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"glossary_lookup('Każda DRUKARKA posiada PrzycisK wznowienia drukowania')"
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]
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},
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{
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"cell_type": "markdown",
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"id": "objective-matthew",
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@ -424,8 +542,14 @@
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"metadata": {},
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"outputs": [],
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"source": [
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"glossary = [('komputer', 'computer'), ('przycisk', 'button'), ('drukarka', 'printer')]\n",
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"\n",
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"def glossary_lookup(sentence):\n",
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" return ''"
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" better_sentence = sentence.lower()\n",
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" sentence_words = better_sentence.split()\n",
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" return [entry for entry in glossary if entry[0] in sentence_words]\n",
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"\n",
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"glossary_lookup('Każda DRUKARKA posiada PrzycisK wznowienia drukowania')"
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]
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},
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{
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@ -452,7 +576,7 @@
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"author": "Rafał Jaworski",
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"email": "rjawor@amu.edu.pl",
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"kernelspec": {
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"display_name": "Python 3",
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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@ -467,7 +591,7 @@
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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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"version": "3.9.2"
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},
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"subtitle": "1. Podstawowe techniki wspomagania tłumaczenia",
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"title": "Komputerowe wspomaganie tłumaczenia",
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