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@@ -79,7 +79,7 @@ When evaluating the performance of a newly designed algorithm, it is crucial to
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Additionally, a program might work correctly for specific datasets but fail in general cases due to problems like inadequate overflow handling or hardcoding dataset properties. Always verify that the program produces correct results by comparing outputs against reference answers from benchmark specifications and checking results with varying data [9].
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For performance testing, it's essential to consider whether optimization results are influenced by other factors. For example, in MySQL 8.0 with the CATS lock scheduling algorithm, the performance evaluation was affected by extensive deadlock logs output by MySQL.
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For performance testing, it's essential to consider whether optimization results are influenced by other factors. For example, in MySQL 8.0 with the CATS lock scheduling algorithm, the performance evaluation could be impacted by extensive deadlock logs generated by MySQL.
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