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Feature Request
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Resolution: Done
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Critical
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None
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None
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2023 Week 06-08 (from Feb 6)
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5
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NEW
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NEW
Input data can have genuine shadow variables but leave out the shadow variables for normalization reasons. When such data is loaded, it should be easy to get all shadow variable listeners to fill in the gaps.
- duplicates
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PLANNER-494 ProblemFactChange: allow refreshing/nuking all shadow variables
- Resolved
- is related to
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PLANNER-1476 ScoreVerifier: calculateScore(), assertScoreOrder(constraintName, Solution... solutions)
- Closed
- relates to
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PLANNER-750 8.0 backwards incompatible changes for next major version
- Resolved