Download benchmark/simcode4d_unified/validators/dev15_common.py from AIGeeksGroup/SimCode4D: direct link, hf CLI and curl.
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3.96 kB
| """Read-only metric helpers for the nine Dev15 handover validators.""" | |
| from __future__ import annotations | |
| import math | |
| from common import body_speed, final_window, in_aabb, norm, roll_pitch | |
| def planar_travel(frames, body_name: str) -> float: | |
| first = frames[0]["bodies"][body_name]["position"] | |
| last = frames[-1]["bodies"][body_name]["position"] | |
| return math.hypot(last[0] - first[0], last[1] - first[1]) | |
| def signed_travel(frames, body_name: str, axis: int) -> float: | |
| first = frames[0]["bodies"][body_name]["position"][axis] | |
| last = frames[-1]["bodies"][body_name]["position"][axis] | |
| return last - first | |
| def lateral_span(frames, body_name: str, travel_axis: int) -> float: | |
| other = 1 - travel_axis | |
| values = [frame["bodies"][body_name]["position"][other] for frame in frames] | |
| return max(values) - min(values) | |
| def height_span(frames, body_name: str) -> float: | |
| values = [frame["bodies"][body_name]["position"][2] for frame in frames] | |
| return max(values) - min(values) | |
| def maximum_tilt(frames, body_name: str) -> float: | |
| return max( | |
| max(abs(value) for value in roll_pitch(frame["bodies"][body_name]["quaternion"])) | |
| for frame in frames | |
| ) | |
| def terminal_stopped(frames, body_name: str, hold_s: float, threshold: float) -> bool: | |
| window = final_window(frames, hold_s) | |
| return bool(window) and all(body_speed(frame, body_name) <= threshold for frame in window) | |
| def terminal_in_region(frames, body_name: str, hold_s: float, region: dict) -> bool: | |
| window = final_window(frames, hold_s) | |
| return bool(window) and all( | |
| in_aabb(frame["bodies"][body_name]["position"], region) for frame in window | |
| ) | |
| def first_region_time(frames, body_name: str, region: dict): | |
| for frame in frames: | |
| if in_aabb(frame["bodies"][body_name]["position"], region): | |
| return frame["t"] | |
| return None | |
| def first_axis_progress_time(frames, body_name: str, axis: int, threshold: float, sign: float): | |
| start = frames[0]["bodies"][body_name]["position"][axis] | |
| for frame in frames: | |
| progress = sign * (frame["bodies"][body_name]["position"][axis] - start) | |
| if progress >= threshold: | |
| return frame["t"] | |
| return None | |
| def interpolate_points(points: list[list[float]], phase: float) -> list[float]: | |
| phase = max(0.0, min(1.0, phase)) * (len(points) - 1) | |
| left = int(phase) | |
| right = min(len(points) - 1, left + 1) | |
| blend = phase - left | |
| return [ | |
| (1.0 - blend) * points[left][index] + blend * points[right][index] | |
| for index in range(3) | |
| ] | |
| def relative_position_in_body_frame(frame, body_name: str, target_name: str) -> list[float]: | |
| body = frame["bodies"][body_name] | |
| target = frame["bodies"][target_name] | |
| vx, vy, vz = [target["position"][i] - body["position"][i] for i in range(3)] | |
| w, x, y, z = body["quaternion"] | |
| return [ | |
| (1 - 2 * (y * y + z * z)) * vx + 2 * (x * y + z * w) * vy + 2 * (x * z - y * w) * vz, | |
| 2 * (x * y - z * w) * vx + (1 - 2 * (x * x + z * z)) * vy + 2 * (y * z + x * w) * vz, | |
| 2 * (x * z + y * w) * vx + 2 * (y * z - x * w) * vy + (1 - 2 * (x * x + y * y)) * vz, | |
| ] | |
| def relative_orientation_in_body_frame(frame, body_name: str, target_name: str) -> list[float]: | |
| aw, ax, ay, az = frame["bodies"][body_name]["quaternion"] | |
| bw, bx, by, bz = frame["bodies"][target_name]["quaternion"] | |
| relative = [ | |
| aw * bw + ax * bx + ay * by + az * bz, | |
| aw * bx - ax * bw - ay * bz + az * by, | |
| aw * by + ax * bz - ay * bw - az * bx, | |
| aw * bz - ax * by + ay * bx - az * bw, | |
| ] | |
| magnitude = norm(relative) | |
| return [value / magnitude for value in relative] | |
| def quaternion_distance(a, b) -> float: | |
| dot = abs(sum(float(a[index]) * float(b[index]) for index in range(4))) | |
| return 2.0 * math.acos(max(-1.0, min(1.0, dot))) | |
| def point_distance(a, b) -> float: | |
| return norm([a[index] - b[index] for index in range(3)]) | |