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Download artifacts/runtime-source/test_runtime.py from suunny/terminal-agent-rl: direct link, hf CLI and curl.
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- Download file 5.78 kB
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https://huggingface.co/datasets/suunny/terminal-agent-rl/resolve/main/artifacts/runtime-source/test_runtime.py
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hf download hf://datasets/suunny/terminal-agent-rl/artifacts/runtime-source/test_runtime.py
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curl -L -o test_runtime.py https://huggingface.co/datasets/suunny/terminal-agent-rl/resolve/main/artifacts/runtime-source/test_runtime.py
5.78 kB
| """CPU checks: .venv/bin/python -m unittest -v test_runtime | |
| No cloud resources, task downloads, or model calls. | |
| """ | |
| import ast | |
| import asyncio | |
| import copy | |
| import importlib.util | |
| from pathlib import Path | |
| from types import SimpleNamespace as NS | |
| import unittest | |
| from unittest.mock import patch | |
| import bash_timeout | |
| import compaction_task | |
| ROOT = Path(__file__).resolve().parent | |
| class RuntimeTests(unittest.TestCase): | |
| def test_bash_feedback_and_timeout(self): | |
| for command in ('', ' ', None): | |
| self.assertIn('No command was executed', bash_timeout.run_bash(command)) | |
| self.assertEqual(bash_timeout.run_bash('printf hello'), 'hello') | |
| output = bash_timeout.run_bash('printf started; sleep 10', timeout=0.1) | |
| self.assertIn('started', output) | |
| self.assertIn('process group killed', output) | |
| def test_compaction_retains_exact_task_and_latest_summary(self): | |
| spec = importlib.util.find_spec('verifiers.v1.harnesses.utils.compaction') | |
| source = Path(spec.origin).read_text() | |
| updated = compaction_task.patch_source(source) | |
| self.assertEqual(compaction_task.patch_source(updated), updated) | |
| with self.assertRaises(RuntimeError): | |
| compaction_task.patch_source(source + '\n# unreviewed change\n') | |
| # Execute the real patched method with an inert model response. | |
| method = next(node for node in ast.walk(ast.parse(updated)) | |
| if isinstance(node, ast.AsyncFunctionDef) and node.name == 'compact') | |
| replies = iter(('first summary', 'latest summary')) | |
| async def chat(*args, **kwargs): | |
| return NS(choices=[NS(message=NS(content=next(replies), tool_calls=[]))]) | |
| env = dict(chat=chat, COMPACTION_ATTEMPTS=3, CHECKPOINT_COMPACTION_PROMPT='summarize', | |
| POST_COMPACTION_FRAMING='summary:', APIStatusError=RuntimeError) | |
| exec(compile(ast.Module(body=[method], type_ignores=[]), '<patched-compaction>', 'exec'), env) | |
| compactor = NS(client=None, model=None, tools=[], note_good=lambda messages: None) | |
| task = {'role': 'user', 'content': [{'type': 'text', 'text': 'Exact task\nDo not lose this.'}]} | |
| messages = [{'role': 'system', 'content': 'system'}, task, {'role': 'assistant', 'content': 'history'}] | |
| original = copy.deepcopy(messages) | |
| first = asyncio.run(env['compact'](compactor, messages)) | |
| second = asyncio.run(env['compact'](compactor, first)) | |
| self.assertEqual(messages, original) | |
| self.assertEqual(second[:2], original[:2]) | |
| self.assertEqual(len(second), 3) | |
| self.assertIn('latest summary', second[2]['content']) | |
| self.assertNotIn('first summary', str(second)) | |
| def test_shared_native_task_gate(self): | |
| # Avoid importing the launcher, which declares Modal resources. | |
| tree = ast.parse((ROOT / 'modal_training.py').read_text()) | |
| gate = next(node for node in tree.body if isinstance(node, ast.FunctionDef) | |
| and node.name == 'load_evaluation_tasks') | |
| namespace = {} | |
| exec(compile(ast.Module(body=[gate], type_ignores=[]), '<task-gate>', 'exec'), namespace) | |
| sources = [{'env': {'taskset': {'tasks': ['a']}}}] | |
| original = copy.deepcopy(sources) | |
| tasks = [NS(data=NS(name='a', upload_environment=True))] | |
| from contextlib import nullcontext | |
| with patch('task_source.git_credentials', return_value=nullcontext()), \ | |
| patch('task_source.task_manifest', return_value={'a': 'digest'}), \ | |
| patch('verifiers.v1.tasksets.harbor.HarborConfig.model_validate', side_effect=lambda value: value), \ | |
| patch('verifiers.v1.tasksets.harbor.HarborTaskset') as loader: | |
| loader.return_value.load.return_value = tasks | |
| self.assertEqual(namespace['load_evaluation_tasks'](sources, {'a': 'digest'}), tasks) | |
| self.assertEqual(sources, original) | |
| with self.assertRaises(AssertionError): | |
| namespace['load_evaluation_tasks'](sources, {'a': 'wrong'}) | |
| tasks[0].data.upload_environment = False | |
| with self.assertRaises(AssertionError): | |
| namespace['load_evaluation_tasks'](sources, {'a': 'digest'}) | |
| tasks[0].data.upload_environment = True | |
| tasks[0].data.name = 'unexpected' | |
| with self.assertRaises(AssertionError): | |
| namespace['load_evaluation_tasks'](sources, {'a': 'digest'}) | |
| if __name__ == '__main__': | |
| unittest.main() | |
| class FinalTrainingTests(unittest.TestCase): | |
| def test_frozen_native_budget_and_mutation_guards(self): | |
| from final_training import freeze, validate | |
| frozen=freeze() | |
| parsed=validate(frozen) | |
| self.assertEqual([source.group_size for source in parsed.orchestrator.train.source],[8,8]) | |
| self.assertEqual(parsed.inference.vllm.api_server_count,1) | |
| self.assertEqual([len(shard['task_manifest']) for shard in frozen['evaluation_shards']],[11,12]) | |
| for key,value in (('max_steps',11),('seq_len',60000)): | |
| changed=copy.deepcopy(frozen);changed['training'][key]=value | |
| with self.assertRaises(AssertionError):validate(changed) | |
| changed=copy.deepcopy(frozen);changed['heldout_tasks'][0]=changed['train_tasks'][0] | |
| with self.assertRaises(AssertionError):validate(changed) | |
| changed=copy.deepcopy(frozen);changed['training']['orchestrator']['train']['source'][0]['ratio']=1 | |
| with self.assertRaises(AssertionError):validate(changed) | |
| changed=copy.deepcopy(frozen) | |
| changed['evaluation_shards'][0]['evaluation']['source'][0]['env']['agent']['harness']['env']['VF_BASH_LENGTH_RECOVERY']='0' | |
| with self.assertRaises(AssertionError):validate(changed) | |