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add library usage demo notebook
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‎notebooks/.ipynb_checkpoints/lib-usage-notebook-checkpoint.ipynb‎

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{
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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 dateandtimeparser import DateTimeParser"
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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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"S1 = 'Today is 10/12/16 and tomorrow is January 01 2019.'\n",
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"S2 = 'entries are due by January 4, 2017 at 8:00pm'\n",
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"S3 = 'created 01/15/2005 by ACME Inc. and associates.'\n",
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"S4 = 'Dec.01.2015 - Dec 31 2015 - Dec,12,2015 - Dec,12,2015 - Dec,12th,2015 - DEC122014'\n",
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"\n",
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"texts = [S1, S2, S3, S4]"
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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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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"DATETIME: 2019-07-09 21:03:33,093 INFO Extracting dates from the text.\n"
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]
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},
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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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"TEXT: Today is 10/12/16 and tomorrow is January 01 2019.\n",
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"\n",
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"datetime(date='january 01 2019', token_span=(34, 49), token_index=(6, 8), format='%B %d %Y')\n",
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"----------------------------------------------------------------------------------------------------\n",
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"datetime(date='10/12/16', token_span=(9, 17), token_index=(2, 2), format='%d/%m/%y')\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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"name": "stderr",
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"output_type": "stream",
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"text": [
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"DATETIME: 2019-07-09 21:03:33,376 INFO Extracting dates from the text.\n",
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"DATETIME: 2019-07-09 21:03:33,614 INFO Extracting dates from the text.\n"
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]
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},
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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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"TEXT: entries are due by January 4, 2017 at 8:00pm\n",
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"\n",
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"EXTRACTION FAILED.\n",
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"\n",
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"****************************************************************************************************\n",
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"TEXT: created 01/15/2005 by ACME Inc. and associates.\n",
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"\n",
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"datetime(date='01/15', token_span=(8, 13), token_index=(1, 1), format='%m/%d')\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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"name": "stderr",
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"output_type": "stream",
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"text": [
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"DATETIME: 2019-07-09 21:03:33,866 INFO Extracting dates from the text.\n"
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]
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},
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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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"TEXT: Dec.01.2015 - Dec 31 2015 - Dec,12,2015 - Dec,12,2015 - Dec,12th,2015 - DEC122014\n",
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"\n",
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"datetime(date='dec 31 2015', token_span=(14, 25), token_index=(2, 4), format='%b %d %Y')\n",
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"----------------------------------------------------------------------------------------------------\n",
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"datetime(date='dec.01.2015', token_span=(0, 11), token_index=(0, 0), format='%b.%d.%Y')\n",
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"----------------------------------------------------------------------------------------------------\n",
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"datetime(date='dec,12,2015', token_span=(28, 39), token_index=(6, 6), format='%b,%d,%Y')\n",
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"----------------------------------------------------------------------------------------------------\n",
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"datetime(date='dec,12,2015', token_span=(42, 53), token_index=(8, 8), format='%b,%d,%Y')\n",
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"----------------------------------------------------------------------------------------------------\n",
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"datetime(date='dec122014', token_span=(72, 81), token_index=(12, 12), format='%b%d%Y')\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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"source": [
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"for text in texts:\n",
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" TEXT = f\"TEXT: {text}\\n\"\n",
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" try:\n",
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" parsed_dates = DateTimeParser(text, 2000, 2020, ['%b%d%Y', '%b.%d.%Y', '%b,%d,%Y', '%b,%d and %Y']) # pass your own custom formats, or just leave it.\n",
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" print(TEXT)\n",
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" for datetime in parsed_dates.datetime:\n",
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" print(datetime)\n",
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" print(\"-\"*100)\n",
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" print(\"*\"*100)\n",
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" except Exception:\n",
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" print(TEXT)\n",
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" print(\"EXTRACTION FAILED.\\n\")\n",
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" print(\"*\"*100)\n",
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" pass"
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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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},
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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": "3.7.2"
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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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