forked from bfijalkowski/KWT-2024
lab 1
This commit is contained in:
parent
71ca3b66ed
commit
ddd2833663
242
lab/lab_01.ipynb
242
lab/lab_01.ipynb
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@ -52,9 +52,14 @@
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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": "narrow-romantic",
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"metadata": {},
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"metadata": {
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"ExecuteTime": {
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"end_time": "2024-04-13T11:05:09.046685900Z",
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"start_time": "2024-04-13T11:05:08.877692800Z"
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}
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},
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"outputs": [],
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"source": [
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"translation_memory = [('Wciśnij przycisk Enter', 'Press the ENTER button'), \n",
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@ -71,9 +76,14 @@
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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": "indonesian-electron",
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"metadata": {},
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"metadata": {
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"ExecuteTime": {
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"end_time": "2024-04-13T11:05:09.131296300Z",
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"start_time": "2024-04-13T11:05:08.893315Z"
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}
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},
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"outputs": [],
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"source": [
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"def tm_lookup(sentence):\n",
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@ -82,17 +92,20 @@
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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": 7,
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"id": "compact-trinidad",
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"metadata": {},
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"metadata": {
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"ExecuteTime": {
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"end_time": "2024-04-13T11:05:09.162547Z",
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"start_time": "2024-04-13T11:05:08.924558500Z"
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}
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},
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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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"text/plain": "['Press the ENTER button']"
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},
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"execution_count": 3,
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"execution_count": 7,
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"metadata": {},
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"output_type": "execute_result"
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}
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@ -119,9 +132,14 @@
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"execution_count": 8,
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"id": "exposed-daniel",
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"metadata": {},
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"metadata": {
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"ExecuteTime": {
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"end_time": "2024-04-13T11:05:09.162547Z",
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"start_time": "2024-04-13T11:05:08.946722400Z"
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}
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},
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"outputs": [],
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"source": [
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"translation_memory.append(('Drukarka jest wyłączona', 'The printer is switched off'))\n",
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@ -139,17 +157,20 @@
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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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"execution_count": 9,
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"id": "serial-velvet",
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"metadata": {},
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"metadata": {
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"ExecuteTime": {
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"end_time": "2024-04-13T11:05:09.162547Z",
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"start_time": "2024-04-13T11:05:08.955053700Z"
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}
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},
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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', 'Press the ENTER key']"
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]
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"text/plain": "['Press the ENTER button', 'Press the ENTER key']"
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},
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"execution_count": 5,
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"execution_count": 9,
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"metadata": {},
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"output_type": "execute_result"
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}
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@ -176,17 +197,20 @@
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"execution_count": 10,
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"id": "every-gibson",
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"metadata": {},
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"metadata": {
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"ExecuteTime": {
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"end_time": "2024-04-13T11:05:09.178168700Z",
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"start_time": "2024-04-13T11:05:08.970677700Z"
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}
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"[]"
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]
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"text/plain": "[]"
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},
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"execution_count": 6,
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"execution_count": 10,
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"metadata": {},
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"output_type": "execute_result"
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}
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@ -213,13 +237,19 @@
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"execution_count": 21,
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"id": "protected-rings",
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"metadata": {},
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"metadata": {
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"ExecuteTime": {
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"end_time": "2024-04-13T11:05:12.496455200Z",
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"start_time": "2024-04-13T11:05:12.465209700Z"
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}
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},
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"outputs": [],
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"source": [
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"def tm_lookup(sentence):\n",
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" return ''"
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" sentence = sentence.lower()\n",
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" return [entry[1] for entry in translation_memory if entry[0].lower() == sentence]"
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]
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},
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{
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@ -232,17 +262,20 @@
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},
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{
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"cell_type": "code",
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"execution_count": 18,
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"execution_count": 22,
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"id": "severe-alloy",
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"metadata": {},
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"metadata": {
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"ExecuteTime": {
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"end_time": "2024-04-13T11:05:14.153976900Z",
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"start_time": "2024-04-13T11:05:14.120474700Z"
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}
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"''"
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]
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"text/plain": "[]"
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},
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"execution_count": 18,
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"execution_count": 22,
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"metadata": {},
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"output_type": "execute_result"
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}
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@ -261,13 +294,24 @@
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},
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{
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"cell_type": "code",
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"execution_count": 11,
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"execution_count": 23,
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"id": "structural-diesel",
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"metadata": {},
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"metadata": {
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"ExecuteTime": {
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"end_time": "2024-04-13T11:05:15.199517300Z",
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"start_time": "2024-04-13T11:05:15.105892400Z"
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}
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},
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"outputs": [],
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"source": [
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"import string\n",
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"\n",
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"def normalize(sentence):\n",
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" return sentence.translate(str.maketrans('', '', string.punctuation)).lower()\n",
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"\n",
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"def tm_lookup(sentence):\n",
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" return ''"
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" sentence = normalize(sentence)\n",
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" return [entry[1] for entry in translation_memory if normalize(entry[0]) == sentence]"
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]
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},
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{
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@ -280,17 +324,20 @@
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},
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{
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"cell_type": "code",
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"execution_count": 12,
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"execution_count": 24,
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"id": "brief-senegal",
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"metadata": {},
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"metadata": {
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"ExecuteTime": {
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"end_time": "2024-04-13T11:05:17.857048100Z",
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"start_time": "2024-04-13T11:05:17.825799600Z"
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}
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"''"
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]
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"text/plain": "[]"
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},
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"execution_count": 12,
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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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@ -317,13 +364,49 @@
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},
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{
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"cell_type": "code",
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"execution_count": 14,
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"execution_count": 25,
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"id": "mathematical-customs",
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"metadata": {},
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"metadata": {
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"ExecuteTime": {
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"end_time": "2024-04-13T12:00:14.223561700Z",
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"start_time": "2024-04-13T12:00:14.159559100Z"
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}
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},
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"outputs": [],
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"source": [
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"def find_similar(sentence):\n",
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" mismatches_threshold = 2\n",
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" words = sentence.split()\n",
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" words_count = len(words)\n",
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" for entry in translation_memory:\n",
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" entry_words = normalize(entry[0]).split()\n",
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" if words_count != len(entry_words):\n",
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" continue\n",
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" mismatches = 0\n",
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" i = 0\n",
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" for word in words:\n",
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" if word != entry_words[i]:\n",
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" if mismatches < mismatches_threshold:\n",
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" mismatches += 1\n",
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" else:\n",
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" break\n",
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" i += 1\n",
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" if mismatches < mismatches_threshold:\n",
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" return entry[1]\n",
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" return []\n",
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"\n",
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"\n",
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"def find_exact(sentence):\n",
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" return [entry[1] for entry in translation_memory if normalize(entry[0]) == sentence]\n",
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"\n",
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"\n",
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"def tm_lookup(sentence):\n",
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" return ''"
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" sentence = normalize(sentence)\n",
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" exact_match = find_exact(sentence)\n",
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" if not exact_match:\n",
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" return find_similar(sentence)\n",
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" else:\n",
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" return exact_match"
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]
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},
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{
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@ -344,9 +427,14 @@
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},
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{
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"cell_type": "code",
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"execution_count": 15,
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"execution_count": 26,
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"id": "humanitarian-wrong",
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"metadata": {},
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"metadata": {
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"ExecuteTime": {
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"end_time": "2024-04-13T12:00:18.016836500Z",
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"start_time": "2024-04-13T12:00:17.992836400Z"
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}
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},
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"outputs": [],
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"source": [
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"glossary = [('komputer', 'computer'), ('przycisk', 'button'), ('drukarka', 'printer')]"
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@ -362,9 +450,14 @@
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},
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{
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"cell_type": "code",
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"execution_count": 16,
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"execution_count": 27,
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"id": "located-perception",
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"metadata": {},
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"metadata": {
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"ExecuteTime": {
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"end_time": "2024-04-13T12:02:06.039160400Z",
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"start_time": "2024-04-13T12:02:06.015160400Z"
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}
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},
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"outputs": [],
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"source": [
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"def glossary_lookup(sentence):\n",
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@ -374,17 +467,20 @@
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},
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{
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"cell_type": "code",
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"execution_count": 17,
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"execution_count": 28,
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"id": "advised-casting",
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"metadata": {},
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"metadata": {
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"ExecuteTime": {
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"end_time": "2024-04-13T12:02:06.846998600Z",
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"start_time": "2024-04-13T12:02:06.823447800Z"
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}
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},
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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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"text/plain": "[('przycisk', 'button'), ('drukarka', 'printer')]"
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},
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"execution_count": 17,
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"execution_count": 28,
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"metadata": {},
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"output_type": "execute_result"
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}
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@ -406,7 +502,9 @@
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"id": "defensive-fifteen",
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"metadata": {},
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"source": [
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"Odpowiedź:"
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"Odpowiedź: \n",
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"złożoność pesymistyczna: m*n\n",
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"złożoność optymistyczna: m"
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]
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},
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{
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@ -421,11 +519,17 @@
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"cell_type": "code",
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"execution_count": 19,
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"id": "original-tunisia",
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"metadata": {},
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"metadata": {
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"ExecuteTime": {
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"end_time": "2024-04-13T11:05:09.247171300Z",
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"start_time": "2024-04-13T11:05:09.124790700Z"
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}
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},
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"outputs": [],
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"source": [
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"def glossary_lookup(sentence):\n",
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" return ''"
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" sentence_words = sentence.lower().split()\n",
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" return [entry for entry in glossary if entry[0].lower() in sentence_words]"
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]
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},
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{
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@ -440,11 +544,25 @@
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"cell_type": "code",
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"execution_count": 20,
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"id": "adolescent-semiconductor",
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"metadata": {},
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"metadata": {
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"ExecuteTime": {
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"end_time": "2024-04-13T11:05:09.247171300Z",
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"start_time": "2024-04-13T11:05:09.146924500Z"
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}
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},
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"outputs": [],
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"source": [
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"def glossary_lookup(sentence):\n",
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" return ''"
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" sentence_words = sentence.lower().split()\n",
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" entry_words = []\n",
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" for entry in glossary:\n",
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" entry_words.append((entry[0].lower(), entry[1]))\n",
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" result = []\n",
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" for word in sentence_words:\n",
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" for entry_word in entry_words:\n",
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" if entry_word[0] == word:\n",
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" result.append(entry_word)\n",
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" return result"
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]
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}
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],
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@ -452,7 +570,7 @@
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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 +585,7 @@
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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": "3.10.11"
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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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