This test creates a 10 GiB sandbox, then writes 20 GiB of data into the workspace. It shows that large workspace data is not constrained by the root disk size.
with target.open('wb') as f:
for gib in range(20):
for block_index in range(1024):
seed = f'{gib}:{block_index}'.encode()
block = hashlib.sha256(seed).digest() * 32768
f.write(block)
f.flush()
os.fsync(f.fileno())
print(f'wrote {gib + 1} GiB', flush=True)
This test creates a 10 GiB sandbox, then writes 20 GiB of data into the workspace. It shows that large workspace data is not constrained by the root disk size.
1. Create a new sandbox with 10gb root storage:
`celesto computer create --template coding-agent --disk-size-mb 10240`
2. Write 20 GiB under user home dir:
``` celesto computer run einstein "python3 - <<'PY' from pathlib import Path import hashlib import os
target_dir = Path('/home/ohm/storage-proof') target_dir.mkdir(parents=True, exist_ok=True) target = target_dir / 'twenty-gib.bin'
with target.open('wb') as f: for gib in range(20): for block_index in range(1024): seed = f'{gib}:{block_index}'.encode() block = hashlib.sha256(seed).digest() * 32768 f.write(block) f.flush() os.fsync(f.fileno()) print(f'wrote {gib + 1} GiB', flush=True)
print('final size bytes:', target.stat().st_size) PY" ```
3. Verify the file is larger than the 10 GiB root disk:
`celesto computer run einstein "du -h /home/ohm/storage-proof/twenty-gib.bin && df -h / /home/ohm"`