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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
vendored
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27
.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
vendored
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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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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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