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reduce
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@@ -41,10 +41,10 @@ class Blendful:
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def update(self, model_output: dict[str, np.ndarray], v_ego: float, active: bool, model_curvature: float, enabled: bool = True) -> float:
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self.l_prob = self.r_prob = 0.0
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self.model_curvature = model_curvature
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if not enabled:
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if self.curvature or self.trust:
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self.__init__()
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self.model_curvature = model_curvature
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return 0.0
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fading = not active or v_ego < MIN_SPEED
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if fading:
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@@ -52,7 +52,6 @@ class Blendful:
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self.usual_offset.initialized = False
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self.lane_width.initialized = False
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self.going_around = False
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self.model_curvature = model_curvature
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target = 0.0 if fading else self._target(model_output, v_ego, model_curvature)
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target = self.smooth = self.smooth + (target - self.smooth) * DT_MDL / (DT_MDL + np.interp(abs(model_curvature) * v_ego ** 2, [0.18, 0.53], [0.5, 0.0]))
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build = 0.5 / max(v_ego, 1.0) ** 2 * DT_MDL # jerk over 1 second
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@@ -133,6 +132,7 @@ class Blendful:
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self.going_around = False
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self.usual_offset.update_alpha(20.0 if self.going_around else 10.0)
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self.usual_offset.update(offset)
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if inside_curve:
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lane_trust *= np.interp(abs(offset) - abs(center_now) - 0.25 * abs(model_curvature) * lookahead ** 2 / 2, (0.5, 1.0), [1.0, 0.0])
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else:
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