| from __future__ import annotations |
|
|
| import math |
|
|
| import torch |
|
|
| from gmnet.synthetic.metrics import alias_mask, energy_fraction, fft_power, tone_mask |
| from gmnet.synthetic.protocols import SyntheticExperiment, _tone, load_synthetic_config |
|
|
|
|
| def test_linear_control_preserves_single_tone() -> None: |
| device = torch.device("cpu") |
| signal = _tone(32, (3, 0), 1.0, 0.31, device) |
| support = tone_mask(32, [(3, 0)], device) |
| assert math.isclose(energy_fraction(fft_power(signal), support), 1.0, abs_tol=1e-12) |
|
|
|
|
| def test_alias_mask_excludes_fundamental_and_marks_wrapped_harmonic() -> None: |
| device = torch.device("cpu") |
| aliases = alias_mask(32, (12, 0), max_order=4, device=device) |
| fundamental = tone_mask(32, [(12, 0)], device) |
| wrapped_second = tone_mask(32, [(-8, 0)], device) |
| assert not bool((aliases & fundamental).any()) |
| assert bool((aliases & wrapped_second).any()) |
|
|
|
|
| def test_alias_mask_does_not_attribute_dc_collision() -> None: |
| device = torch.device("cpu") |
| aliases = alias_mask(32, (4, 0), max_order=8, device=device) |
| dc = tone_mask(32, [(0, 0)], device) |
| assert not bool((aliases & dc).any()) |
|
|
|
|
| def test_small_protocol_has_linear_zero_and_nonlinear_generation() -> None: |
| config = load_synthetic_config("configs/e2_synthetic/test.yaml") |
| config["protocols"] = ["single_tone"] |
| rows = SyntheticExperiment(config).run() |
| linear = [row["harmonic_generation"] for row in rows if row["gate"] == "no_gate"] |
| nonlinear = [row["harmonic_generation"] for row in rows if row["gate"] == "relu6_self"] |
| assert max(abs(value) for value in linear) < 1e-12 |
| assert min(nonlinear) > 0.1 |
|
|
