Carlo Moro cnmoro

Agent Directives: State & Memory Management

1. Initialization & Core Operating Principle

Initialization Protocol: On your very first interaction within any workspace, check the root directory for the existence of HISTORY.md and REPO.md. If either file is missing, you must create and initialize them immediately before executing any other commands or tasks.

Core Principle: You are responsible for maintaining the repository's internal memory. You will not write these files for human consumption. You will encode all information using a Sparse Priming Representation (SPR) methodology to optimize for future LLM context ingestion.

SPR Encoding Rules:

Maximize Density: Distill all features, decisions, and chronological events into succinct statements, conceptual associations, and technical assertions.
Minimize Tokens: Capture the absolute maximum amount of conceptual meaning with the absolute minimum number of words.

Download .deb from sourceforge

$ https://sourceforge.net/projects/tigervnc/files/stable/1.16.0/ubuntu-24.04LTS/amd64/tigervncserver_1.16.0-1ubuntu1_amd64.deb

$ sudo apt-get install -y ./tigervncserver_1.16.0-1ubuntu1_amd64.deb

Set password

$ vncpasswd

Create xstartup file

$ nano ~/.vnc/xstartup

	#!/bin/bash

	# zswap Setup Script
	# Example: curl -sL https://gist.githubusercontent.com/cnmoro/f7b8935736150dbac4d754051dc07e4b/raw/6c3489e2d612756acddb5152a136484a816b6528/activate_zswap.sh \| sudo bash -s 4

	set -e

	# Check if running as root
	if [ "$EUID" -ne 0 ]; then
	echo "Error: This script must be run as root (use sudo)"

	#!/bin/bash

	# zRAM Setup Script
	# Example: curl -sL https://gist.githubusercontent.com/cnmoro/32a898436388e8245fbb67cd7b6bb1e6/raw/98de143fdfe1a9c2d8649a5b5c572835c32b45e1/activate_zram.sh \| sudo bash -s 4096M

	set -e

	# Check if running as root
	if [ "$EUID" -ne 0 ]; then
	echo "Error: This script must be run as root (use sudo)"

	1 - Identificar o device
	cat /proc/bus/input/devices

	Look for something that says "keyboard" in the N: Name= line. In this example, it's "AT Translated Set 2 keyboard". The important part is the Handlers= line—it shows event1, which means the device is /dev/input/event1.

	2 - Validar o dispositivo
	sudo evtest

	3 - Atualizar o código C com o device
	Linha "input_fd = open("/dev/input/event0", O_RDONLY);" - trocar o eventX

	## Converter Imports
	from transformers import AutoTokenizer
	from gliclass import GLiClassModel
	import torch

	## Quantizer Imports
	from onnxruntime.quantization import quantize_dynamic, QuantType

	## Inference imports
	from tokenizers import Tokenizer

	import pandas as pd

	def sequence_mining_analysis(df, id_col, date_col, cat_col):
	if not pd.api.types.is_datetime64_any_dtype(df[date_col]):
	raise TypeError(f"Column '{date_col}' must be datetime.")

	df = (df[[id_col, date_col, cat_col]]
	.sort_values([id_col, date_col]))

	grp = df.groupby(id_col)[cat_col]

	import traceback, inspect, re, datetime

	def log_exception(e, custom_msg=None):
	# Get the frame of the caller (the function where the exception was caught)
	frame = inspect.currentframe().f_back

	func_name = frame.f_code.co_name
	filename = frame.f_code.co_filename
	line_no = frame.f_lineno

	# pip install -U insightface mxnet onnx onnxruntime

	# Initialize the FaceAnalysis app with the Antelope model
	from insightface.app import FaceAnalysis
	app = FaceAnalysis(name='antelopev2', root='./', providers=['CPUExecutionProvider'])
	# Remove nested folder from download if needed
	app.prepare(ctx_id=-1, det_size=(640, 640))

	from PIL import Image
	img = Image.open('82.png')

	import torch

	import torch.nn as nn

	import torch.nn.functional as F

	from torch.utils.data import DataLoader, Dataset

	from torchtext.vocab import build_vocab_from_iterator