httpstan

import os import subprocess import time import requests # Ensure httpstan is running in the background # In a real application, you might use a more robust process management. # For this example, we assume it's already running or launched separately. # If not running, uncomment the subprocess call below and handle its lifecycle. # subprocess.Popen(['python3', '-m', 'httpstan']) # time.sleep(5) # Give the server a moment to start # Define a simple Stan program program_code = """ parameters {real y;} model {y ~ normal(0,1);} """ # Compile the Stan program response = requests.post( 'http://localhost:8080/v1/models', json={'program_code': program_code} ) response.raise_for_status() model_name = response.json()['name'] print(f"Model compiled with name: {model_name}") # Draw samples from the compiled model sample_response = requests.post( f'http://localhost:8080/v1/{model_name}/actions', json={'type': 'stan::services::sample::hmc_nuts_diag_e_adapt'} ) sample_response.raise_for_status() # In a real scenario, you'd typically stream the results from the response.iter_lines() # For simplicity, this example just prints the first few lines of the output. print("\nFirst few lines of sampling output:") for line in sample_response.iter_lines(): print(line.decode('utf-8')) # Break after a few lines for brevity in quickstart if len(line) > 100: # Heuristic to get some actual output break