Adrián López adrianlzt

DSPy LabeledFewShot Optimizer Example

This repository contains a Python script, dspy_LabeledFewShot.py, that demonstrates how to use the dspy.teleprompt.LabeledFewShot optimizer for sentiment analysis.

The script defines a simple DSPy program to classify the sentiment of a sentence as "Positive", "Negative", or "Neutral". It then uses LabeledFewShot to "compile" this program by creating few-shot prompts from a small training set. Finally, it runs the compiled program on a new sentence and inspects the prompt sent to the Language Model (LLM) to show how the few-shot examples were included.

Requirements

Python 3.13+
uv

	#!/usr/bin/env -S uv run
	# /// script
	# requires-python = ">=3.10"
	# dependencies = []
	# [tool.uv]
	# exclude-newer = "2025-06-03T00:00:00Z"
	# ///
	"""
	Monitor TIME-WAIT connections and detect threshold violations.

	#!/usr/bin/python3
	# @lint-avoid-python-3-compatibility-imports
	#
	# tcpconnect Trace TCP connect()s.
	# For Linux, uses BCC, eBPF. Embedded C.
	#
	# USAGE: tcpconnect [-h] [-c] [-t] [-p PID] [-P PORT [PORT ...]] [-4 \| -6]
	#
	# All connection attempts are traced, even if they ultimately fail.
	#

	#!/usr/bin/python3
	# @lint-avoid-python-3-compatibility-imports
	#
	# tcpconnect Trace TCP connect()s.
	# For Linux, uses BCC, eBPF. Embedded C.
	#
	# USAGE: tcpconnect [-h] [-c] [-t] [-p PID] [-P PORT [PORT ...]] [-4 \| -6]
	#
	# All connection attempts are traced, even if they ultimately fail.
	#

	#!/usr/bin/env -S uv run
	# /// script
	# requires-python = ">=3.10"
	# dependencies = [
	# "pandas",
	# "matplotlib",
	# ]
	# ///
	import pandas as pd
	import matplotlib.pyplot as plt

	#!/usr/bin/env -S uv run --script
	# /// script
	# requires-python = ">=3.10"
	# dependencies = [
	# "bleak",
	# ]
	# [tool.uv]
	# exclude-newer = "2025-07-03T00:00:00Z"
	# ///

	<!DOCTYPE html>
	<html lang="en">
	<head>
	<meta charset="UTF-8">
	<meta name="viewport" content="width=device-width, initial-scale=1.0">
	<title>Shoulder Mobility Assessment Calculator</title>
	<link rel="stylesheet" href="style.css">
	<link rel="preconnect" href="https://fonts.googleapis.com">
	<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
	<link href="https://fonts.googleapis.com/css2?family=Roboto:wght@400;700&display=swap" rel="stylesheet">

	#!/usr/bin/env -S uv run
	# /// script
	# requires-python = ">=3.13"
	# dependencies = [
	# "mlflow",
	# "azureml-mlflow",
	# "azure-ai-ml",
	# "azure-identity",
	# ]
	# [tool.uv]

	<!-- Taken from https://simonwillison.net/2025/Mar/28/incomplete-json-pretty-printer/ -->
	<!DOCTYPE html>
	<html lang="en">
	<head>
	<meta charset="UTF-8">
	<meta name="viewport" content="width=device-width, initial-scale=1.0">
	<title>JSON Pretty Printer</title>
	<style>
	body {
	font-family: Arial, sans-serif;

	#!/usr/bin/env python3

	import subprocess

	def remove_image(image_id):
	"""Safely remove a docker image."""
	try:
	subprocess.run(["docker", "rmi", image_id], check=True, capture_output=True)
	print(f" ✓ Removed: {image_id}")
	except subprocess.CalledProcessError: