moved notebook declarations to tests/shared.py
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@ -38,162 +38,6 @@ VALID_CHANNELS = Union[Connection,Queue]
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HASH_BUFFER_SIZE = 65536
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SHA256 = "sha256"
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# testing
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BAREBONES_NOTEBOOK = {
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"cells": [],
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"metadata": {},
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"nbformat": 4,
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"nbformat_minor": 4
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}
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TEST_MONITOR_BASE = "test_monitor_base"
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TEST_HANDLER_BASE = "test_handler_base"
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TEST_JOB_OUTPUT = "test_job_output"
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COMPLETE_NOTEBOOK = {
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"cells": [
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{
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"cell_type": "code",
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"execution_count": None,
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"metadata": {},
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"outputs": [],
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"source": "# The first cell\n\ns = 0\nnum = 1000"
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},
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{
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"cell_type": "code",
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"execution_count": None,
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"metadata": {},
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"outputs": [],
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"source": "for i in range(num):\n s += i"
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},
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{
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"cell_type": "code",
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"execution_count": None,
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"metadata": {},
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"outputs": [],
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"source": "div_by = 4"
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},
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{
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"cell_type": "code",
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"execution_count": None,
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"metadata": {},
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"outputs": [],
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"source": "result = s / div_by"
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},
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{
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"cell_type": "code",
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"execution_count": None,
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"metadata": {},
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"outputs": [],
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"source": "print(result)"
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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": "3.7.3"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 4
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}
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APPENDING_NOTEBOOK = {
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"cells": [
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{
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"cell_type": "code",
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"execution_count": None,
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"metadata": {},
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"outputs": [],
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"source": [
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"# Default parameters values\n",
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"# The line to append\n",
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"extra = 'This line comes from a default pattern'\n",
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"# Data input file location\n",
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"infile = 'start/alpha.txt'\n",
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"# Output file location\n",
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"outfile = 'first/alpha.txt'"
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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": None,
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"metadata": {},
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"outputs": [],
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"source": [
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"# load in dataset. This should be a text file\n",
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"with open(infile) as input_file:\n",
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" data = input_file.read()"
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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": None,
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"metadata": {},
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"outputs": [],
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"source": [
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"# Append the line\n",
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"appended = data + '\\n' + extra"
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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": None,
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"metadata": {},
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"outputs": [],
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"source": [
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"import os\n",
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"\n",
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"# Create output directory if it doesn't exist\n",
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"output_dir_path = os.path.dirname(outfile)\n",
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"\n",
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"if output_dir_path:\n",
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" os.makedirs(output_dir_path, exist_ok=True)\n",
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"\n",
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"# Save added array as new dataset\n",
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"with open(outfile, 'w') as output_file:\n",
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" output_file.write(appended)"
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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": "3.10.6 (main, Nov 14 2022, 16:10:14) [GCC 11.3.0]"
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},
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"vscode": {
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"interpreter": {
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"hash": "916dbcbb3f70747c44a77c7bcd40155683ae19c65e1c03b4aa3499c5328201f1"
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}
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}
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},
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"nbformat": 4,
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"nbformat_minor": 4
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}
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# meow events
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EVENT_TYPE = "event_type"
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EVENT_PATH = "event_path"
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