fmarkos

<?php

class log {

    public $filename;
    public $timestamp;
    public $ip;
    public $u_agent;
    public $u_refer;
    public $ub;

fmarkos

• Download and Install Sublime Text 3.1.1 Build 3176
• Install Package Control (don't forget to restart Sublime after)
• Install PackageResourceViewer (restart Sublime)
• Open the Command Palette (Tools > Command Palette from Sublime task menu)
• Enter open resource and select PackageResourceViewer: Open Resource
• Enter html and select HTML
• Enter sub and select HTML.sublime-syntax
• Click Find > Find... from the Sublime task menu (or use cmd+f or ctrl +f) and search for (?:java|ecma)
• Replace (?:java|ecma) on line 38 with (?:java|ecma|paper)
• Save and close the file

fmarkos

<VirtualHost ...>
	...
	# Reverse Proxy
	ProxyRequests Off
	#ProxyPreserveHost On
	RequestHeader set X-Forwarded-Proto "https"
	ProxyPass /blog http://blog.example.org/blog
	ProxyPassReverse /blog http://blog.example.org/blog
	...
</VirtualHost>

fmarkos

Method 1
git config --global core.editor "'c:/program files/sublime text 3/sublime_text.exe' -w"

Method 2
git config --global core.editor "subl -n -w"

Method 3
$ echo 'alias subl="/cygdrive/c/Program\ Files/Sublime\ Text\ 3/sublime_text.exe"' >> ~/.bashrc

fmarkos

Installing Python 3.11 & Rust on Raspberry Pi

Python 3.11 is not available as apt package on debian raspbian bullseye so installing from source needed

updatepython2v11.sh can be used to compile python 3.11 on raspberry pi

installing packages like bcrypt and cryptography needs rust compiling so rust compiler needed if you don't do that you will get error liek this:

Building wheels for collected packages: bcrypt

fmarkos

git clone https://github.com/cpacker/MemGPT.git
conda create -n memgpt python=3.10
conda activate memgpt
cd memgpt
pip install -r requirements.txt
export OPENAI_API_KEY="YOUR_API_KEY"
# download .txt docs from: https://huggingface.co/datasets/MemGPT/example-sec-filings/tree/main
# place in "memgpt/personas/examples/preload_archival/*.txt"
python3 main.py --archival_storage_files_compute_embeddings="memgpt/personas/examples/preload_archival/*.txt" --persona=memgpt_doc --human=basic