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Installing a Font in WSL (Windows Subsystem for Linux)

To install a font in WSL, follow these steps:

Check Font Location: Confirm that the font file (e.g., VictorMono.ttf) is located in a directory accessible from your WSL instance. You can copy the font file to your WSL home directory for simplicity.
Install Font: You can use the fc-cache command to update the font cache in WSL and make the font available. Open a terminal in your WSL instance and run the following commands:

sudo cp /mnt/c/path/to/VictorMono.ttf /usr/local/share/fonts/

Do this at your own risk. I take no responsibility for any damage caused to your board.

My Intel Edison was shipped to me with old and buggy version of the Yocto Linux image. I purchased only the console block via Sparkfun (which has only one USB port connected to UART2 (serial connection) of the Edison therefore it's not connected to the actual USB on Edison) so I could not update to a new build the normal way.

I assume you have successfully connected to the Edison via the serial connection and can use the linux console on Edison.

Connect the Edison into a local WiFi network with configure_edison --wifi
Check that you can access to the Edison via SSH or with browser
- if you can't, vi /etc/systemd/system/basic.target.wants/network-gadget-init.service and change the ip addresses to i.e 192.168.99.15
On Edison, cd /

资源

Windows XP/Server 2k3 Source master branch is meant to hold untouched source code for referencing. better to torrent then clone entire repo.

Best:

	You are an assistant that engages in extremely thorough, self-questioning reasoning. Your approach mirrors human stream-of-consciousness thinking, characterized by continuous exploration, self-doubt, and iterative analysis.

	## Core Principles

	1. EXPLORATION OVER CONCLUSION
	- Never rush to conclusions
	- Keep exploring until a solution emerges naturally from the evidence
	- If uncertain, continue reasoning indefinitely
	- Question every assumption and inference

	:bowtie:
	😄 :smile:
	😆 :laughing:
	😊 :blush:
	😃 :smiley:
	☺️ :relaxed:
	😏 :smirk:
	😍 :heart_eyes:
	😘 :kissing_heart:
	😚 :kissing_closed_eyes:

	import torch
	from transformers import Qwen2VLForConditionalGeneration, AutoTokenizer, AutoProcessor
	from PIL import Image
	from pathlib import Path
	import sys

	# Toggle to switch between full response and extracted description
	OUTPUT_FULL_RESPONSE = False

	# Ensure we're using the MPS device if available

	i386 : iPhone Simulator
	x86_64 : iPhone Simulator
	arm64 : iPhone Simulator
	iPhone1,1 : iPhone
	iPhone1,2 : iPhone 3G
	iPhone2,1 : iPhone 3GS
	iPhone3,1 : iPhone 4
	iPhone3,2 : iPhone 4 GSM Rev A
	iPhone3,3 : iPhone 4 CDMA
	iPhone4,1 : iPhone 4S

	# coding=utf-8
	# Contact: [email protected]


	import numpy as np
	import torch
	import torch.nn as nn


	def get_len_mask(b: int, max_len: int, feat_lens: torch.Tensor, device: torch.device) -> torch.Tensor:

	<?php

	/**
	* -----------------------------------------------------------------------------------------
	* Based on `https://github.com/mecha-cms/mecha-cms/blob/master/system/kernel/converter.php`
	* -----------------------------------------------------------------------------------------
	*/

	// HTML Minifier
	function minify_html($input) {