public void IncludeData(TraitDataSnapshot data)
{
if (data.TryGetTrait(traitName, out int value))
{
m_Alignment = (MarsPlaneAlignment)(value | (int)m_Alignment);
}
}
public void OptimizeForData(TraitDataSnapshot data)
{
if (data.TryGetTrait(traitName, out int value))
{
m_Alignment = (MarsPlaneAlignment)value;
}
}
public float GetConditionRatingForData(TraitDataSnapshot data)
{
if (!data.TryGetTrait(traitName, out int value))
{
return(0f);
}
return(RateDataMatch(ref value));
}
public string FormatDataString(TraitDataSnapshot data)
{
if (!data.TryGetTrait(traitName, out int value))
{
return("Unknown");
}
return(((MarsPlaneAlignment)value).ToString().InsertSpacesBetweenWords());
}
public string FormatDataString(TraitDataSnapshot data)
{
if (!data.TryGetTrait(traitName, out Vector2 value))
{
return("Unknown");
}
return($"{value.x:0.00}m x {value.y:0.00}m");
}
public string FormatDataString(TraitDataSnapshot data)
{
if (data.TryGetTrait(traitName, out bool value))
{
return($"Tagged {(value ? "" : "not ")}{traitName}");
}
return($"No {traitName} tag");
}
public float GetConditionRatingForData(TraitDataSnapshot data)
{
if (m_TraitName != null && data.TryGetTrait(m_TraitName, out bool _))
{
return(m_MatchRule == SemanticTagMatchRule.Exclude ? 0f : 1f);
}
return(m_MatchRule == SemanticTagMatchRule.Exclude ? 1f : 0f);
}
public void IncludeData(TraitDataSnapshot data)
{
if (m_TraitName != null && data.TryGetTrait(m_TraitName, out bool value))
{
m_MatchRule = value ? SemanticTagMatchRule.Match : SemanticTagMatchRule.Exclude;
}
else
{
m_MatchRule = SemanticTagMatchRule.Exclude;
}
}
public void OptimizeForData(TraitDataSnapshot data)
{
if (m_TraitName != null && data.TryGetTrait(m_TraitName, out bool value))
{
m_MatchRule = value ? SemanticTagMatchRule.Match : SemanticTagMatchRule.Exclude;
}
else
{
enabled = false;
}
}
public void OptimizeForData(TraitDataSnapshot data)
{
if (!data.TryGetTrait(traitName, out Vector2 value))
{
return;
}
var plusMinus = value * k_OptimizePadding;
m_MaximumSize = value + plusMinus;
m_MinimumSize = value - plusMinus;
}
public void IncludeData(TraitDataSnapshot data)
{
if (!data.TryGetTrait(traitName, out Vector2 value))
{
return;
}
if (m_MaxBounded)
{
var newMaxSize = m_MaximumSize;
if (m_MaximumSize.x < value.x)
{
newMaxSize.x = value.x + k_ConformPadding;
}
if (m_MaximumSize.y < value.y)
{
newMaxSize.y = value.y + k_ConformPadding;
}
m_MaximumSize = newMaxSize;
}
if (m_MinBounded)
{
var newMinSize = m_MinimumSize;
if (m_MinimumSize.x > value.x)
{
newMinSize.x = value.x - k_ConformPadding;
}
if (m_MinimumSize.y > value.y)
{
newMinSize.y = value.y - k_ConformPadding;
}
m_MinimumSize = newMinSize;
}
}
public float GetConditionRatingForData(TraitDataSnapshot data)
{
return(data.TryGetTrait(traitName, out bool value) ? RateDataMatch(ref value) : 0f);
}
public void IncludeData(TraitDataSnapshot data)
{
enabled = data.TryGetTrait(traitName, out bool _);
}
public void OptimizeForData(TraitDataSnapshot data)
{
enabled = data.TryGetTrait(traitName, out bool _);
}
