105 lines
2.8 KiB
Plaintext
105 lines
2.8 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {
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"colab": {
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"base_uri": "https://localhost:8080/"
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},
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"id": "ki9N8iqRxu0I",
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"outputId": "fd1628a5-d2a4-44a4-89b4-31151d21c8f3"
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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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"Collecting pocketflow\n",
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" Downloading pocketflow-0.0.1-py3-none-any.whl.metadata (270 bytes)\n",
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"Downloading pocketflow-0.0.1-py3-none-any.whl (3.3 kB)\n",
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"Installing collected packages: pocketflow\n",
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"Successfully installed pocketflow-0.0.1\n"
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]
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}
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],
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"source": [
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"pip install pocketflow"
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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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"id": "mHZpGv8txy4L"
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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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"execution_count": 5,
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"metadata": {
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"colab": {
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"base_uri": "https://localhost:8080/"
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},
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"id": "zfnhW3f-0W6o",
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"outputId": "3737e2e5-5cae-4c6b-a894-e880cf338d1f"
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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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"\n",
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"=== Running Sequential (AsyncBatchNode) ===\n",
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"[Sequential] Summarizing file1.txt...\n",
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"[Sequential] Summarizing file2.txt...\n",
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"[Sequential] Summarizing file3.txt...\n",
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"\n",
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"=== Running Parallel (AsyncParallelBatchNode) ===\n",
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"[Parallel] Summarizing file1.txt...\n",
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"[Parallel] Summarizing file2.txt...\n",
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"[Parallel] Summarizing file3.txt...\n",
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"\n",
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"--- Results ---\n",
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"Sequential Summaries: {'file1.txt': 'Summarized(13 chars)', 'file2.txt': 'Summarized(13 chars)', 'file3.txt': 'Summarized(13 chars)'}\n",
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"Parallel Summaries: {'file1.txt': 'Summarized(13 chars)', 'file2.txt': 'Summarized(13 chars)', 'file3.txt': 'Summarized(13 chars)'}\n",
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"Sequential took: 3.00 seconds\n",
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"Parallel took: 1.00 seconds\n"
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]
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}
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],
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"source": [
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"# if in a notebook\n",
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"await main()\n",
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"\n",
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"asyncio.run(main())"
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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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"id": "ystwa74D0Z_k"
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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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"metadata": {
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"colab": {
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"provenance": []
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},
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"kernelspec": {
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"display_name": "Python 3",
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"name": "python3"
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},
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"language_info": {
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"name": "python"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 0
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}
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