Download test_memory.py from vynly/mica-ember-0.3.7: direct link, hf CLI and curl.
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https://huggingface.co/vynly/mica-ember-0.3.7/resolve/main/test_memory.py
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hf download hf://vynly/mica-ember-0.3.7/test_memory.py
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curl -L -o test_memory.py https://huggingface.co/vynly/mica-ember-0.3.7/resolve/main/test_memory.py
1.12 kB
| from __future__ import annotations | |
| import hashlib | |
| import json | |
| from pathlib import Path | |
| import numpy as np | |
| from memory import Memory | |
| HERE = Path(__file__).resolve().parent | |
| def sha(path: Path) -> str: | |
| h = hashlib.sha256() | |
| with path.open('rb') as f: | |
| for block in iter(lambda: f.read(1 << 20), b''): | |
| h.update(block) | |
| return h.hexdigest() | |
| def main(): | |
| manifest = json.loads((HERE / 'manifest.json').read_text(encoding='utf-8-sig')) | |
| path = HERE / manifest['memory'] | |
| assert sha(path) == manifest['memory_sha256'] | |
| mem = Memory(path) | |
| history_oldest_first = np.frombuffer(b'The model is', dtype=np.uint8).astype(np.int64) | |
| scalar = mem.bonus(history_oldest_first) | |
| batched = mem.bonus_batch(history_oldest_first[::-1][None, :])[0] | |
| assert scalar.shape == (258,) | |
| assert scalar.dtype.kind in 'iu' | |
| np.testing.assert_array_equal(scalar, batched) | |
| assert np.all(mem.bonus(np.empty(0, dtype=np.int64)) == 0) | |
| print('Ember v0.3.7 integer memory hash and scalar/batch conformance: OK') | |
| if __name__ == '__main__': | |
| main() | |