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#!/usr/bin/env python3
# /// script
# requires-python = ">=3.10"
# dependencies = []
# ///
"""
Simple network speed test for HF Jobs.
Tests download speed by fetching a file from Hugging Face Hub.
Useful for verifying network performance in different HF Jobs flavors.
Usage:
# Run locally
uv run network-speed-test.py
# Run on HF Jobs
hfjobs run --flavor l4x1 \
-s HF_TOKEN \
uv run https://huggingface.co/datasets/uv-scripts/jobs-utils/raw/main/network-speed-test.py
Example output:
Testing download speed...
Downloaded 100.0 MB in 2.34 seconds
Download speed: 42.74 MB/s (341.89 Mbps)
"""
import sys
import time
import urllib.request
import argparse
from typing import Optional
def format_bytes(bytes_value: int) -> str:
"""Convert bytes to human-readable format."""
for unit in ["B", "KB", "MB", "GB"]:
if bytes_value < 1024.0:
return f"{bytes_value:.2f} {unit}"
bytes_value /= 1024.0
return f"{bytes_value:.2f} TB"
def test_download_speed(url: str, size_hint: Optional[int] = None) -> tuple[float, int]:
"""
Download a file and measure speed.
Returns:
Tuple of (duration_seconds, bytes_downloaded)
"""
print(f"Testing download speed from: {url}")
print("Downloading...", flush=True)
start_time = time.time()
with urllib.request.urlopen(url) as response:
data = response.read()
duration = time.time() - start_time
bytes_downloaded = len(data)
return duration, bytes_downloaded
def main():
parser = argparse.ArgumentParser(
description="Test network speed for HF Jobs",
formatter_class=argparse.RawDescriptionHelpFormatter,
)
parser.add_argument(
"--url",
type=str,
default="https://huggingface.co/datasets/OpenWebText/resolve/main/README.md",
help="URL to download for testing (default: sample HF file)",
)
parser.add_argument(
"--large",
action="store_true",
help="Use a larger file for testing (~100MB model file)",
)
args = parser.parse_args()
# If --large flag is set, use a bigger file
test_url = args.url
if args.large:
# Use a model file that's about 100MB
test_url = "https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2/resolve/main/pytorch_model.bin"
print("Using large file test (~100MB)")
print("=" * 60)
print("HF Jobs Network Speed Test")
print("=" * 60)
print()
try:
duration, bytes_downloaded = test_download_speed(test_url)
# Calculate speeds
mb_downloaded = bytes_downloaded / (1024 * 1024)
speed_mbps = (bytes_downloaded * 8) / (duration * 1_000_000) # Megabits per second
speed_mb_s = mb_downloaded / duration # Megabytes per second
print()
print("=" * 60)
print("Results:")
print("=" * 60)
print(f"Downloaded: {format_bytes(bytes_downloaded)}")
print(f"Time: {duration:.2f} seconds")
print(f"Speed: {speed_mb_s:.2f} MB/s ({speed_mbps:.2f} Mbps)")
print("=" * 60)
# Exit successfully
return 0
except urllib.error.URLError as e:
print(f"\n❌ Error downloading file: {e}", file=sys.stderr)
print("\nThis could indicate network connectivity issues.", file=sys.stderr)
return 1
except Exception as e:
print(f"\n❌ Unexpected error: {e}", file=sys.stderr)
return 1
if __name__ == "__main__":
sys.exit(main())
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