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https://github.com/firestar5683/StarPilot.git
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@@ -820,8 +820,6 @@ class FrogPilotVariables:
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toggle.human_acceleration = longitudinal_tuning and (params.get_bool("HumanAcceleration") if tuning_level >= level["HumanAcceleration"] else default.get_bool("HumanAcceleration"))
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toggle.human_following = longitudinal_tuning and (params.get_bool("HumanFollowing") if tuning_level >= level["HumanFollowing"] else default.get_bool("HumanFollowing"))
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toggle.lead_detection_probability = np.clip(params.get_int("LeadDetectionThreshold") / 100, 0.25, 0.50) if longitudinal_tuning and tuning_level >= level["LeadDetectionThreshold"] else default.get_int("LeadDetectionThreshold") / 100
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if params.get_float("MaxDesiredAcceleration") < 4.0:
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params.put_float("MaxDesiredAcceleration", 4.0)
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toggle.max_desired_acceleration = np.clip(params.get_float("MaxDesiredAcceleration"), 0.1, 4.0) if longitudinal_tuning and tuning_level >= level["MaxDesiredAcceleration"] else default.get_float("MaxDesiredAcceleration")
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toggle.taco_tune = longitudinal_tuning and (params.get_bool("TacoTune") if tuning_level >= level["TacoTune"] else default.get_bool("TacoTune"))
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