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156 lines
2.9 KiB
156 lines
2.9 KiB
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [],
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"source": [
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"from SolveShorts import *\n",
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"\n",
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"from oi import *\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": 2,
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"metadata": {},
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"outputs": [],
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"source": [
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"solSh = SolveShorts('hkldbShorts.hkl', 'hkldbShorts_All.hkl')\n",
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"\n",
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"#solSh.create_hklDB_from_csv('Abkuerzungen.txt')\n",
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"\n",
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"oi = oi()\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": 3,
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"metadata": {},
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"outputs": [],
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"source": [
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"sentences, punctuations = oi.ReadDoc2Sent('test1')"
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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": 4,
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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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"loading hkldbShorts ..\n",
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"done\n",
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"loading the bow model\n",
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"done\n"
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]
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}
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],
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"source": [
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"solSh.load_DB_into_FASTsearch()\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": 5,
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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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"processing sentence 1\n",
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"processing sentence 2\n",
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"processing sentence 3\n",
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"processing sentence 4\n",
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"processing sentence 5\n",
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"processing sentence 6\n",
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"processing sentence 7\n",
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"processing sentence 8\n",
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"processing sentence 9\n",
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"processing sentence 10\n",
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"processing sentence 11\n",
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"processing sentence 12\n",
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"processing sentence 13\n",
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"processing sentence 14\n"
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]
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}
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],
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"source": [
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"outsentences = solSh.ExplainShortsInSentencesWithBrackets(sentences)"
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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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"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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".\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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".\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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".\n",
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".\n",
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".\n",
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".\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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"'OK'"
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]
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},
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"execution_count": 6,
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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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"oi.PrintSplitSentencesToTextFile(punctuations, outsentences, 'test1out')"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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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": "3.5.3"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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