Datasets:
Formats:
parquet
Size:
100K - 1M
Tags:
population-genetics
demographic-inference
effective-population-size
coalescent
msprime
simulation
License:
File size: 3,841 Bytes
ee5b44c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 | 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()
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