{# parallel_combo_loop.jinja #}
import multiprocessing as mp
from queue import Queue

def process_chunk(chunk):
    results = []
    for {{ inner_var }} in chunk:
        {{ loop_body | indent(8) }}
    return results

def parallel_combo_loop(condition_func, data_generator):
    results = []
    with mp.Pool() as pool:
        while condition_func():
            chunk = data_generator()
            if not chunk:
                break
            chunk_results = pool.apply_async(process_chunk, (chunk,))
            results.extend(chunk_results.get())
    return results

if __name__ == '__main__':
    def check_condition():
        return {{ outer_condition }}

    def generate_data():
        # Generate or fetch the next batch of data
        return {{ inner_iterable }}

    final_results = parallel_combo_loop(check_condition, generate_data)
    # Process final_results as needed

