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104 lines
1.8 KiB
Plaintext
104 lines
1.8 KiB
Plaintext
{
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"cells": [
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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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"jukit_cell_id": "O4HPx3boF0"
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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": "markdown",
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"metadata": {
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"jukit_cell_id": "hqQkbPEwTJ"
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},
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"source": [
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"# Using the DockerWrapper utility"
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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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"jukit_cell_id": "vCepuypaFH"
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},
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"outputs": [],
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"source": [
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"from langchain.utilities.docker import DockerWrapper, DockerSocket"
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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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"jukit_cell_id": "BtYVqy2YtO"
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},
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"outputs": [],
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"source": [
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"d = DockerWrapper()\n",
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"query = \"\"\"\n",
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"for i in $(seq 1 10)\n",
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"do\n",
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" echo $i\n",
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"done\n",
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"\"\"\""
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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": 1,
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"metadata": {
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"jukit_cell_id": "ELWWm03ptQ"
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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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"[header] blocking IO\n",
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"{'stdout': '1\\n2\\n3\\n4\\n5\\n6\\n7\\n8\\n9\\n10\\n'}\n",
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"1\n",
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"2\n",
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"3\n",
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"4\n",
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"5\n",
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"6\n",
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"7\n",
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"8\n",
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"9\n",
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"10\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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"print(d.exec_run(query, \"alpine\"))"
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]
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}
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],
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"metadata": {
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"anaconda-cloud": {},
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"kernelspec": {
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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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"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": "3.9.11"
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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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