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| #!/usr/bin/env python3 | |
| import shutil | |
| import socket | |
| import yaml | |
| from pathlib import Path | |
| import sys | |
| CONFIG_FILE = Path.home() / ".config" / "include.yml" | |
| TEMPLATE = """\ | |
| backup_dir: /path/to/backup/dir |
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| { | |
| "cells": [ | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "# CMFGEN levels and lines\n", | |
| "---\n", | |
| "\n", | |
| "My approach is to do exactly the same I did for the Chianti levels and lines: try to mimic the table generated by `GFALLReader` for energy levels and lines." |
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| # Ultralytics YOLO 🚀, GPL-3.0 license | |
| # COCO8 dataset (first 8 images from COCO train2017) by Ultralytics | |
| # Example usage: yolo train data=coco8.yaml | |
| # parent | |
| # ├── ultralytics | |
| # └── datasets | |
| # └── coco8 ← downloads here (1 MB) | |
| # Train/val/test sets as 1) dir: path/to/imgs, 2) file: path/to/imgs.txt, or 3) list: [path/to/imgs1, path/to/imgs2, ..] |
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| devices: ( | |
| { | |
| name: "M585/M590 Multi-Device Mouse"; | |
| buttons: ( | |
| { | |
| cid: 0x56; | |
| action = | |
| { | |
| type: "Keypress"; | |
| keys: ["KEY_VOLUMEUP"]; |
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| #! /bin/bash | |
| echo; echo -n "Remove WINE and its configuration? [Y/n]: " | |
| read -n 1 reply | |
| if [ "$reply" != "y" ] && [ "$reply" != "Y" ]; then | |
| echo; echo | |
| echo "Exiting."; echo | |
| exit 0 |
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