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@@ -286,8 +286,8 @@ public sealed class ModelRunner
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new ProtobufCodec(),
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new ProtobufCodec(),
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new FlatBuffersCodec(),
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new FlatBuffersCodec(),
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new CborCodec(),
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new CborCodec(),
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new BsonCodec(),
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new AvroCodec(),
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new AvroCodec(),
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new BsonCodec(),
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};
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};
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}
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}
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@@ -410,8 +410,8 @@ public sealed class ModelRunner
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string cls = Stats.ClassifyVsJson(ratio);
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string cls = Stats.ClassifyVsJson(ratio);
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string meanS = double.IsNaN(mean) ? "N/A" : mean.ToString("F1");
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string meanS = double.IsNaN(mean) ? "N/A" : mean.ToString("F1");
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string medS = double.IsNaN(med) ? "N/A" : med.ToString("F1");
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string medS = double.IsNaN(med) ? "N/A" : med.ToString("F1");
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string ratioS = double.IsNaN(ratio) ? "N/A" : ratio.ToString("F3");
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string ratioS = double.IsNaN(ratio) ? "N/A" : ratio.ToString("F1");
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string reduction = double.IsNaN(ratio) ? "N/A" : ((1 - ratio) * 100).ToString("F3");
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string reduction = double.IsNaN(ratio) ? "N/A" : ((1 - ratio) * 100).ToString("F1");
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// average CPU µs/op across samples where serialization succeeded
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// average CPU µs/op across samples where serialization succeeded
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string encCpuS = (r.Samples == 0) ? "N/A" : (r.EncodeCpuUsSum / r.Samples).ToString("F1");
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string encCpuS = (r.Samples == 0) ? "N/A" : (r.EncodeCpuUsSum / r.Samples).ToString("F1");
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