Datasets:
Formats:
parquet
Size:
100K - 1M
Tags:
population-genetics
demographic-inference
effective-population-size
coalescent
msprime
simulation
License:
| from __future__ import annotations | |
| import dataclasses | |
| import unittest | |
| from simulator.config import Config | |
| from simulator.dataset_state import ( | |
| DONE_CONFIG_STATE_KEY, | |
| RUNTIME_CONFIG_FIELDS, | |
| DatasetConfigMismatchError, | |
| sample_generation_config, | |
| sample_generation_fingerprint, | |
| stamp_done_manifest, | |
| validate_done_for_reuse, | |
| ) | |
| class DatasetStateTests(unittest.TestCase): | |
| def setUp(self) -> None: | |
| self.cfg = Config() | |
| def test_snapshot_includes_every_non_runtime_config_field(self) -> None: | |
| raw = dataclasses.asdict(self.cfg) | |
| snapshot = sample_generation_config(self.cfg) | |
| self.assertEqual(set(snapshot), set(raw) - RUNTIME_CONFIG_FIELDS) | |
| def test_fingerprint_is_stable_and_ignores_runtime_fields(self) -> None: | |
| original = sample_generation_fingerprint(self.cfg) | |
| reordered = dict(reversed(list(dataclasses.asdict(self.cfg).items()))) | |
| self.assertEqual(original, sample_generation_fingerprint(reordered)) | |
| changed = dataclasses.replace( | |
| self.cfg, | |
| dataset_name="renamed", | |
| compute_chunk_size=1, | |
| force=True, | |
| out_dir="/a/different/output", | |
| workers=99, | |
| ) | |
| self.assertEqual(original, sample_generation_fingerprint(changed)) | |
| def test_fingerprint_changes_for_data_and_format_fields(self) -> None: | |
| original = sample_generation_fingerprint(self.cfg) | |
| for field, value in { | |
| "seed": self.cfg.seed + 1, | |
| "n_samples": self.cfg.n_samples + 1, | |
| "shard_size": self.cfg.shard_size + 1, | |
| "seq_len": self.cfg.seq_len + 1, | |
| "time_bins": self.cfg.time_bins + 1, | |
| "demography_resolution_log10": self.cfg.demography_resolution_log10 * 2, | |
| "compression": not self.cfg.compression, | |
| "compression_level": self.cfg.compression_level + 1, | |
| "include_truth": not self.cfg.include_truth, | |
| "max_retries": self.cfg.max_retries + 1, | |
| }.items(): | |
| with self.subTest(field=field): | |
| changed = dataclasses.replace(self.cfg, **{field: value}) | |
| self.assertNotEqual(original, sample_generation_fingerprint(changed)) | |
| def test_stamped_done_validates_without_legacy_config(self) -> None: | |
| manifest = stamp_done_manifest({"n_samples": 4}, self.cfg) | |
| state = validate_done_for_reuse(manifest, self.cfg) | |
| self.assertEqual(state, manifest[DONE_CONFIG_STATE_KEY]) | |
| def test_stamped_done_rejects_changed_generation_config(self) -> None: | |
| manifest = stamp_done_manifest({"n_samples": 4}, self.cfg) | |
| changed = dataclasses.replace(self.cfg, seq_len=self.cfg.seq_len * 2) | |
| with self.assertRaisesRegex(DatasetConfigMismatchError, r"seq_len.*--force"): | |
| validate_done_for_reuse(manifest, changed) | |
| def test_stamped_done_rejects_a_different_generator_schema(self) -> None: | |
| manifest = stamp_done_manifest({"n_samples": 4}, self.cfg) | |
| manifest[DONE_CONFIG_STATE_KEY]["generator_schema_version"] += 1 | |
| with self.assertRaisesRegex( | |
| DatasetConfigMismatchError, | |
| r"sample-generator schema.*--force", | |
| ): | |
| validate_done_for_reuse(manifest, self.cfg) | |
| def test_legacy_done_requires_force_instead_of_automatic_upgrade(self) -> None: | |
| with self.assertRaisesRegex(DatasetConfigMismatchError, r"cannot prove.*--force"): | |
| validate_done_for_reuse({"n_samples": 4}, self.cfg) | |
| def test_stamp_does_not_mutate_input_manifest(self) -> None: | |
| manifest = {"n_samples": 4} | |
| stamped = stamp_done_manifest(manifest, self.cfg) | |
| self.assertNotIn(DONE_CONFIG_STATE_KEY, manifest) | |
| self.assertIn(DONE_CONFIG_STATE_KEY, stamped) | |
| if __name__ == "__main__": | |
| unittest.main() | |