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| """Rate visualization data preparation.""" | |
| from __future__ import annotations | |
| from collections.abc import Mapping, Sequence | |
| def population_rate_series(result: Mapping[str, object]) -> list[float]: | |
| config = result.get("config", {}) | |
| monitors = result.get("monitors", {}) | |
| if not isinstance(config, Mapping) or not isinstance(monitors, Mapping): | |
| return [] | |
| counts = monitors.get("tick_spike_counts", []) | |
| if not isinstance(counts, Sequence): | |
| return [] | |
| n = max(1, int(config.get("n_neurons", 1))) | |
| dt_ms = max(1e-9, float(config.get("dt_ms", 1.0))) | |
| return [float(value) / n / (dt_ms / 1000.0) for value in counts] | |