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https://github.com/x1xhlol/system-prompts-and-models-of-ai-tools.git
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20
.devcontainer/devcontainer.json
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20
.devcontainer/devcontainer.json
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{
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"image": "mcr.microsoft.com/devcontainers/universal:2",
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"customizations": {
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"vscode": {
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"extensions": [
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"ms-vscode.azure-account",
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"ms-python.python",
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"ms-toolsai.jupyter",
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"ms-vscode.cpptools",
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"ms-azuretools.vscode-docker"
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]
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}
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},
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"settings": {
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"terminal.integrated.shell.linux": "/bin/bash",
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"python.pythonPath": "/usr/local/bin/python3",
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"editor.formatOnSave": true
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},
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"postCreateCommand": "pip install -r requirements.txt"
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}
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27
.github/workflows/makefile.yml
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.github/workflows/makefile.yml
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name: Makefile CI
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on:
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push:
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branches: [ "main" ]
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pull_request:
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branches: [ "main" ]
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jobs:
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build:
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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@v4
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- name: configure
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run: ./configure
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- name: Install dependencies
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run: make
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- name: Run check
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run: make check
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- name: Run distcheck
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run: make distcheck
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24
.ipynb_checkpoints/Untitled-checkpoint.ipynb
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24
.ipynb_checkpoints/Untitled-checkpoint.ipynb
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{
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"cells": [],
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"metadata": {
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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": "3.12.1"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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6
.vscode/settings.json
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6
.vscode/settings.json
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{
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"DockerRun.DisableDockerrc": true,
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"python.pythonPath": "/usr/local/bin/python3",
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"editor.formatOnSave": true,
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"terminal.integrated.shell.linux": "/bin/bash"
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}
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Knowledge cutoff: 2024-06
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Knowledge cutoff: 2024-06
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You are an AI coding assistant, powered by GPT-4.1. You operate in Cursor.
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You are an AI coding assistant, powered by GPT-4.1. You operate in Cursor.
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You are pair programming with a USER to solve their coding task. Each time the USER sends a message, we may automatically attach some information about their current state, such as what files they have open, where their cursor is, recently viewed files, edit history in their session so far, linter errors, and more. This information may or may not be relevant to the coding task, it is up for you to decide.
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You are pair programming with a USER to solve their coding task. Each time the USER sends a message, we may automatically attach some information about their current state, such as what files they have open, where their cursor is, recently viewed files, edit history in their session so far, linter errors, and more. This information may or may not be relevant to the coding task, it is up for you to decide.
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55
Untitled.ipynb
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55
Untitled.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": null,
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"id": "994f67e0-ce39-492f-bb9a-088f7885c1d6",
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"metadata": {},
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"outputs": [],
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"source": [
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"import numpy as np\n",
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"import pandas as pd\n",
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"import matplotlib.pyplot as plt\n",
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"import seaborn as sns\n",
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"\n",
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"# Load dataset\n",
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"df = pd.read_csv('data.csv')\n",
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"\n",
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"# Display first few rows of the dataset\n",
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"df.head()\n",
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"\n",
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"# Summary statistics\n",
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"df.describe()\n",
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"\n",
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"# Data visualization\n",
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"plt.figure(figsize=(10, 6))\n",
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"sns.histplot(df['column_name'], bins=30, kde=True)\n",
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"plt.title('Distribution of Column Name')\n",
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"plt.xlabel('Column Name')\n",
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"plt.ylabel('Frequency')\n",
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"plt.show()\n"
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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 (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": "3.12.1"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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