Waiting for runner's bench_func and bench_command functions to complete instead of receiving outputs individually? about pyperf HOT 5 OPEN

#!/usr/bin/env python3
import pyperf
import time


def func():
    time.sleep(0.001)

if __name__ == "__main__":
    runner = pyperf.Runner()
    results = runner.bench_func('sleep', func)
    print(results)

#!/usr/bin/env python3
import pyperf
import time


def func():
    time.sleep(0.001)

if __name__ == "__main__":
    procs = 20
    runner = pyperf.Runner(processes=procs)
    results = runner.bench_func('sleep', func)
    if len(result.get_runs()) == procs:
        print(f"Mean: {results.mean()}")
        print(f"Median: {results.median()}")

#!/usr/bin/env python3
import pyperf
import time
import csv
from statistics import mean, median


def func():
    time.sleep(0.001)

if __name__ == "__main__":
    procs = 20
    runner = pyperf.Runner(processes=procs)
    my_results = {}

    for i in range(1,11):
        result = runner.bench_func('sleep', func)
        if len(result.get_runs()) == procs:
            my_results[i] = list(result.get_values())
    
    with open("output.csv", "w", "newline="") as my_file:
        headers = ["Loop", "Mean", "Median"]
        writer = csv.DictWriter(my_file, fieldnames=headers)
        writer.writeheader()
        for k in my_results.keys():
            writer.writerow(
                {
                    "Loop": k,
                    "Mean": mean(my_results[k]),
                    "Median": median(my_results[k]),
                }
            )

#!/usr/bin/env python3
import pyperf
import time
import csv
from pathlib import Path
from statistics import mean, median


def func():
    time.sleep(0.001)

if __name__ == "__main__":
    procs = 20
    runner = pyperf.Runner(processes=procs)
    my_results = {}

    for i in range(1,11):
        result = runner.bench_func('sleep', func)
        if result is None:
            pass
        elif len(result.get_runs()) == procs:
            my_results[i] = list(result.get_values())
    
    open_mode = "w"
    if Path("output.csv").exists():
        open_mode = "a"

    csv_file = open("output.csv", open_mode, newline="")
    headers = ["Loop", "Mean", "Median"]
    writer = csv.DictWriter(my_file, fieldnames=headers)
    if open_mode == "a":
        writer.writeheader()
    for k in my_results.keys():
        writer.writerow(
            {
                "Loop": k,
                "Mean": mean(my_results[k]),
                "Median": median(my_results[k]),
            }
        )