changed jupyter notebook Prototype.py in order to have faster loading of first Textarea.
This commit is contained in:
alpcentaur
parent
f86792b1d6
commit
0b6122c6ff
7 changed files with 180 additions and 238 deletions
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@ -30,14 +30,30 @@
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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": 2,
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"metadata": {},
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"outputs": [],
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"source": []
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"outputs": [
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{
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"data": {
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"text/html": [
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"<img src=\"brainBasaBuuka5.png\" width=\"300\" height=\"200\" align=\"center\"/>\n"
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],
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"text/plain": [
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"<IPython.core.display.HTML object>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"source": [
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"%%html\n",
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"<img src=\"brainBasaBuuka5.png\" width=\"300\" height=\"200\" align=\"center\"/>"
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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": 2,
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"execution_count": 3,
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"metadata": {},
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"outputs": [
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{
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@ -74,7 +90,7 @@
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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": 4,
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"metadata": {},
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"outputs": [],
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"source": [
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@ -95,7 +111,7 @@
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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": 5,
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"metadata": {},
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"outputs": [],
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"source": [
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@ -112,35 +128,11 @@
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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": 6,
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"metadata": {
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"scrolled": true
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},
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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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"initializing the libraries\n",
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"Creating the bag of words...\n",
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"\n",
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"dumping the data to hkl format..\n",
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"done\n",
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"Creating the bag of words...\n",
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"\n",
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"dumping the data to hkl format..\n",
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"done\n",
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"loading SolveShorts Databases\n",
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"loading SentSeg Databases\n",
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"loading SayYes Databases\n",
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"loading passiv2active Databases\n",
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"loading conjunctivesolve Databases\n",
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"done\n",
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"dumping the session\n",
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"done\n"
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]
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}
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],
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"outputs": [],
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"source": [
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"\n",
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"# importing the libraries\n",
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@ -187,34 +179,33 @@
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"#print('loading conjunctivesolve Databases')\n",
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"#cs.load_DB_into_FASTsearch()\n",
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"#print('done')\n",
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"\n",
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"#import dill\n",
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"#print('dumping the session')\n",
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"#dill.dump_session('voilastate.db')\n",
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"#print('done')\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": 6,
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"execution_count": 7,
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"metadata": {
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"scrolled": true
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},
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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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"loading SentSeg Databases\n",
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"done\n",
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"dumping the session\n",
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"done\n"
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"data": {
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"application/vnd.jupyter.widget-view+json": {
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"model_id": "44d5cd66922e47eea1e041f5a4d0450c",
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"version_major": 2,
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"version_minor": 0
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},
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"text/plain": [
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"Textarea(value='', layout=Layout(height='180px', width='99%'), placeholder='Hier den Text eingeben, darunter k…"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"source": [
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"import dill\n",
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"dill.load_session('voilastate.db')\n",
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"\n",
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"#print('done')\n",
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"\n",
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"#print('loading passiv2active Databases')\n",
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@ -262,6 +253,7 @@
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"#oi = oi()\n",
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"\n",
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"\n",
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"\n",
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"import ipywidgets as widgets\n",
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"\n",
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"TextFeld = widgets.Textarea(placeholder='Hier den Text eingeben, darunter können die Module aktiviert(grün) oder deaktiviert(pink) werden', disabled=False)\n",
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@ -275,15 +267,19 @@
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"TextFelddouble.layout.width = '99%'\n",
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"TextFelddouble.disabled=True\n",
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"\n",
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"#display(TextFeld)"
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"display(TextFeld)"
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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": 7,
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"execution_count": 8,
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"metadata": {},
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"outputs": [],
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"source": [
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"\n",
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"import dill\n",
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"dill.load_session('voilastate.db')\n",
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"\n",
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"dawidth = '100%'\n",
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"KonjunktiveErsetzen = widgets.ToggleButton(\n",
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" value=False,\n",
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@ -351,7 +347,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 8,
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"execution_count": 9,
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"metadata": {},
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"outputs": [],
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"source": [
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@ -368,10 +364,43 @@
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},
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{
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"cell_type": "code",
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"execution_count": 9,
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"execution_count": 10,
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"metadata": {},
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"outputs": [],
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"outputs": [
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{
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"data": {
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"text/html": [
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"<br>"
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],
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"text/plain": [
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"<IPython.core.display.HTML object>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"application/vnd.jupyter.widget-view+json": {
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"model_id": "0ffc0a362eda4b26b52365b4bc8e9d98",
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"version_major": 2,
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"version_minor": 0
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},
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"text/plain": [
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"GridBox(children=(ToggleButton(value=True, description='Eine Aussage pro Satz', layout=Layout(width='100%')), …"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"source": [
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"\n",
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"display(HTML('<br>'))\n",
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"display(Grid)\n",
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"\n",
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"\n",
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"\n",
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"\n",
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"def function():\n",
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" out = 'Wählen Sie ein Kästchen aus!'\n",
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@ -526,28 +555,12 @@
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},
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{
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"cell_type": "code",
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"execution_count": 10,
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"execution_count": null,
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"metadata": {
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"scrolled": false
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},
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"outputs": [
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{
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"data": {
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"text/html": [
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"<img src=\"brainBasaBuuka5.png\" width=\"300\" height=\"200\" align=\"center\"/>\n"
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],
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"text/plain": [
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"<IPython.core.display.HTML object>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"source": [
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"%%html\n",
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"<img src=\"brainBasaBuuka5.png\" width=\"300\" height=\"200\" align=\"center\"/>"
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]
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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@ -557,47 +570,7 @@
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{
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"data": {
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"application/vnd.jupyter.widget-view+json": {
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"model_id": "e8a207b4bbbf4ede88e8de51a7f01e76",
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"version_major": 2,
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"version_minor": 0
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},
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"text/plain": [
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"Textarea(value='', layout=Layout(height='180px', width='99%'), placeholder='Hier den Text eingeben, darunter k…"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/html": [
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"<br>"
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],
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"text/plain": [
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"<IPython.core.display.HTML object>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"application/vnd.jupyter.widget-view+json": {
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"model_id": "3b9404b205f8409ebdfb8d2f9fb5e1e6",
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"version_major": 2,
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"version_minor": 0
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},
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"text/plain": [
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"GridBox(children=(ToggleButton(value=True, description='Eine Aussage pro Satz', layout=Layout(width='100%')), …"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"application/vnd.jupyter.widget-view+json": {
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"model_id": "d09eeedd9a08403daaf2436b6106b675",
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"model_id": "a997b9dff3d04ac9ae6a172ca3d2f4dd",
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"version_major": 2,
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"version_minor": 0
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},
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@ -617,9 +590,7 @@
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"#display(i)\n",
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"\n",
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"#print(widgets.interact_manual.opts)\n",
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"display(TextFeld)\n",
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"display(HTML('<br>'))\n",
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"display(Grid)\n",
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"\n",
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"widgets.interact_manual.opts['manual_name']= 'Übersetzen'\n",
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"ola = widgets.interact_manual(function)\n",
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"ola.widget.children[0].style.button_color = 'lightgreen'\n",
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@ -639,7 +610,7 @@
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{
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"data": {
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"application/vnd.jupyter.widget-view+json": {
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"model_id": "2049909ffcfd4cee8b9fe8b7602812c9",
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"model_id": "b1b855420c5f4e10b43ffde5863d27f8",
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"version_major": 2,
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"version_minor": 0
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},
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@ -761,7 +732,7 @@
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{
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"data": {
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"application/vnd.jupyter.widget-view+json": {
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"model_id": "8818b8d76a4640a399063390f9a32703",
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"model_id": "33a76d73064142e69756ead3fc1dbc02",
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"version_major": 2,
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"version_minor": 0
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},
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@ -787,7 +758,7 @@
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{
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"data": {
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"application/vnd.jupyter.widget-view+json": {
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"model_id": "822ff5f7c5864ad8a328e951a306ccad",
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"model_id": "d507502e11734ce4be24fd5fa588d676",
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"version_major": 2,
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"version_minor": 0
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},
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@ -30,14 +30,30 @@
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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": 2,
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"metadata": {},
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"outputs": [],
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"source": []
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"outputs": [
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{
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"data": {
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"text/html": [
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"<img src=\"brainBasaBuuka5.png\" width=\"300\" height=\"200\" align=\"center\"/>\n"
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],
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"text/plain": [
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"<IPython.core.display.HTML object>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"source": [
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"%%html\n",
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"<img src=\"brainBasaBuuka5.png\" width=\"300\" height=\"200\" align=\"center\"/>"
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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": 2,
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"execution_count": 3,
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"metadata": {},
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"outputs": [
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{
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@ -74,7 +90,7 @@
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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": 4,
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"metadata": {},
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"outputs": [],
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"source": [
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@ -95,7 +111,7 @@
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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": 5,
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"metadata": {},
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"outputs": [],
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"source": [
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@ -112,35 +128,11 @@
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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": 6,
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"metadata": {
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"scrolled": true
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},
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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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"initializing the libraries\n",
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"Creating the bag of words...\n",
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"\n",
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"dumping the data to hkl format..\n",
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"done\n",
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"Creating the bag of words...\n",
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"\n",
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"dumping the data to hkl format..\n",
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"done\n",
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"loading SolveShorts Databases\n",
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"loading SentSeg Databases\n",
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"loading SayYes Databases\n",
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"loading passiv2active Databases\n",
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"loading conjunctivesolve Databases\n",
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"done\n",
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"dumping the session\n",
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"done\n"
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]
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}
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],
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"outputs": [],
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"source": [
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"\n",
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"# importing the libraries\n",
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@ -187,34 +179,33 @@
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"#print('loading conjunctivesolve Databases')\n",
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"#cs.load_DB_into_FASTsearch()\n",
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"#print('done')\n",
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"\n",
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"#import dill\n",
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"#print('dumping the session')\n",
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"#dill.dump_session('voilastate.db')\n",
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"#print('done')\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": 6,
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"execution_count": 7,
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"metadata": {
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"scrolled": true
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},
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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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"loading SentSeg Databases\n",
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"done\n",
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"dumping the session\n",
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"done\n"
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"data": {
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"application/vnd.jupyter.widget-view+json": {
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"model_id": "44d5cd66922e47eea1e041f5a4d0450c",
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"version_major": 2,
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"version_minor": 0
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},
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"text/plain": [
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"Textarea(value='', layout=Layout(height='180px', width='99%'), placeholder='Hier den Text eingeben, darunter k…"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"source": [
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"import dill\n",
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"dill.load_session('voilastate.db')\n",
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"\n",
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"#print('done')\n",
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"\n",
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"#print('loading passiv2active Databases')\n",
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@ -262,6 +253,7 @@
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"#oi = oi()\n",
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"\n",
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"\n",
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"\n",
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"import ipywidgets as widgets\n",
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"\n",
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"TextFeld = widgets.Textarea(placeholder='Hier den Text eingeben, darunter können die Module aktiviert(grün) oder deaktiviert(pink) werden', disabled=False)\n",
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@ -275,15 +267,19 @@
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"TextFelddouble.layout.width = '99%'\n",
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"TextFelddouble.disabled=True\n",
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"\n",
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"#display(TextFeld)"
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||||
"display(TextFeld)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 7,
|
||||
"execution_count": 8,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"\n",
|
||||
"import dill\n",
|
||||
"dill.load_session('voilastate.db')\n",
|
||||
"\n",
|
||||
"dawidth = '100%'\n",
|
||||
"KonjunktiveErsetzen = widgets.ToggleButton(\n",
|
||||
" value=False,\n",
|
||||
|
|
@ -351,7 +347,7 @@
|
|||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 8,
|
||||
"execution_count": 9,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
|
|
@ -368,10 +364,43 @@
|
|||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 9,
|
||||
"execution_count": 10,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/html": [
|
||||
"<br>"
|
||||
],
|
||||
"text/plain": [
|
||||
"<IPython.core.display.HTML object>"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"application/vnd.jupyter.widget-view+json": {
|
||||
"model_id": "0ffc0a362eda4b26b52365b4bc8e9d98",
|
||||
"version_major": 2,
|
||||
"version_minor": 0
|
||||
},
|
||||
"text/plain": [
|
||||
"GridBox(children=(ToggleButton(value=True, description='Eine Aussage pro Satz', layout=Layout(width='100%')), …"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"\n",
|
||||
"display(HTML('<br>'))\n",
|
||||
"display(Grid)\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"def function():\n",
|
||||
" out = 'Wählen Sie ein Kästchen aus!'\n",
|
||||
|
|
@ -526,28 +555,12 @@
|
|||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 10,
|
||||
"execution_count": null,
|
||||
"metadata": {
|
||||
"scrolled": false
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/html": [
|
||||
"<img src=\"brainBasaBuuka5.png\" width=\"300\" height=\"200\" align=\"center\"/>\n"
|
||||
],
|
||||
"text/plain": [
|
||||
"<IPython.core.display.HTML object>"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"%%html\n",
|
||||
"<img src=\"brainBasaBuuka5.png\" width=\"300\" height=\"200\" align=\"center\"/>"
|
||||
]
|
||||
"outputs": [],
|
||||
"source": []
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
|
|
@ -557,47 +570,7 @@
|
|||
{
|
||||
"data": {
|
||||
"application/vnd.jupyter.widget-view+json": {
|
||||
"model_id": "e8a207b4bbbf4ede88e8de51a7f01e76",
|
||||
"version_major": 2,
|
||||
"version_minor": 0
|
||||
},
|
||||
"text/plain": [
|
||||
"Textarea(value='', layout=Layout(height='180px', width='99%'), placeholder='Hier den Text eingeben, darunter k…"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/html": [
|
||||
"<br>"
|
||||
],
|
||||
"text/plain": [
|
||||
"<IPython.core.display.HTML object>"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"application/vnd.jupyter.widget-view+json": {
|
||||
"model_id": "3b9404b205f8409ebdfb8d2f9fb5e1e6",
|
||||
"version_major": 2,
|
||||
"version_minor": 0
|
||||
},
|
||||
"text/plain": [
|
||||
"GridBox(children=(ToggleButton(value=True, description='Eine Aussage pro Satz', layout=Layout(width='100%')), …"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"application/vnd.jupyter.widget-view+json": {
|
||||
"model_id": "d09eeedd9a08403daaf2436b6106b675",
|
||||
"model_id": "a997b9dff3d04ac9ae6a172ca3d2f4dd",
|
||||
"version_major": 2,
|
||||
"version_minor": 0
|
||||
},
|
||||
|
|
@ -617,9 +590,7 @@
|
|||
"#display(i)\n",
|
||||
"\n",
|
||||
"#print(widgets.interact_manual.opts)\n",
|
||||
"display(TextFeld)\n",
|
||||
"display(HTML('<br>'))\n",
|
||||
"display(Grid)\n",
|
||||
"\n",
|
||||
"widgets.interact_manual.opts['manual_name']= 'Übersetzen'\n",
|
||||
"ola = widgets.interact_manual(function)\n",
|
||||
"ola.widget.children[0].style.button_color = 'lightgreen'\n",
|
||||
|
|
@ -639,7 +610,7 @@
|
|||
{
|
||||
"data": {
|
||||
"application/vnd.jupyter.widget-view+json": {
|
||||
"model_id": "2049909ffcfd4cee8b9fe8b7602812c9",
|
||||
"model_id": "b1b855420c5f4e10b43ffde5863d27f8",
|
||||
"version_major": 2,
|
||||
"version_minor": 0
|
||||
},
|
||||
|
|
@ -761,7 +732,7 @@
|
|||
{
|
||||
"data": {
|
||||
"application/vnd.jupyter.widget-view+json": {
|
||||
"model_id": "8818b8d76a4640a399063390f9a32703",
|
||||
"model_id": "33a76d73064142e69756ead3fc1dbc02",
|
||||
"version_major": 2,
|
||||
"version_minor": 0
|
||||
},
|
||||
|
|
@ -787,7 +758,7 @@
|
|||
{
|
||||
"data": {
|
||||
"application/vnd.jupyter.widget-view+json": {
|
||||
"model_id": "822ff5f7c5864ad8a328e951a306ccad",
|
||||
"model_id": "d507502e11734ce4be24fd5fa588d676",
|
||||
"version_major": 2,
|
||||
"version_minor": 0
|
||||
},
|
||||
|
|
|
|||
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Loading…
Reference in a new issue