public void TriangleFilterHandlesManySamples()
{ // this test is to detect issues with averaging dates when having many samples
var filter = new FilterSample(new IOconfFilter("Filter;MyFilter;Triangle;1;X", 0));
var now = DateTime.Now;
filter.Input(new List <SensorSample>()
{
new SensorSample("X", 3)
{
TimeStamp = now
}
});
filter.Input(new List <SensorSample>()
{
new SensorSample("X", 3)
{
TimeStamp = now.AddSeconds(0.1)
}
});
filter.Input(new List <SensorSample>()
{
new SensorSample("X", 3)
{
TimeStamp = now.AddSeconds(0.2)
}
});
filter.Input(new List <SensorSample>()
{
new SensorSample("X", 3)
{
TimeStamp = now.AddSeconds(0.3)
}
});
filter.Input(new List <SensorSample>()
{
new SensorSample("X", 3)
{
TimeStamp = now.AddSeconds(0.4)
}
});
filter.Input(new List <SensorSample>()
{
new SensorSample("X", 3)
{
TimeStamp = now.AddSeconds(0.5)
}
});
filter.Input(new List <SensorSample>()
{
new SensorSample("X", 3)
{
TimeStamp = now.AddSeconds(0.6)
}
});
filter.Input(new List <SensorSample>()
{
new SensorSample("X", 3)
{
TimeStamp = now.AddSeconds(0.7)
}
});
filter.Input(new List <SensorSample>()
{
new SensorSample("X", 3)
{
TimeStamp = now.AddSeconds(0.8)
}
});
filter.Input(new List <SensorSample>()
{
new SensorSample("X", 4)
{
TimeStamp = now.AddSeconds(0.9)
}
});
filter.Input(new List <SensorSample>()
{
new SensorSample("X", 4)
{
TimeStamp = now.AddSeconds(1.0)
},
new SensorSample("X", 4)
{
TimeStamp = now.AddSeconds(1.0)
},
new SensorSample("X", 4)
{
TimeStamp = now.AddSeconds(1.0)
},
new SensorSample("X", 4)
{
TimeStamp = now.AddSeconds(1.0)
},
new SensorSample("X", 4)
{
TimeStamp = now.AddSeconds(1.0)
},
new SensorSample("X", 4)
{
TimeStamp = now.AddSeconds(1.0)
},
new SensorSample("X", 4)
{
TimeStamp = now.AddSeconds(1.0)
},
new SensorSample("X", 4)
{
TimeStamp = now.AddSeconds(1.0)
},
new SensorSample("X", 4)
{
TimeStamp = now.AddSeconds(1.0)
},
new SensorSample("X", 4)
{
TimeStamp = now.AddSeconds(1.0)
},
new SensorSample("X", 4)
{
TimeStamp = now.AddSeconds(1.0)
},
new SensorSample("X", 4)
{
TimeStamp = now.AddSeconds(1.0)
},
new SensorSample("X", 4)
{
TimeStamp = now.AddSeconds(1.0)
},
new SensorSample("X", 4)
{
TimeStamp = now.AddSeconds(1.0)
},
new SensorSample("X", 4)
{
TimeStamp = now.AddSeconds(1.0)
},
new SensorSample("X", 4)
{
TimeStamp = now.AddSeconds(1.0)
},
new SensorSample("X", 4)
{
TimeStamp = now.AddSeconds(1.0)
},
new SensorSample("X", 4)
{
TimeStamp = now.AddSeconds(1.0)
},
new SensorSample("X", 4)
{
TimeStamp = now.AddSeconds(1.0)
},
new SensorSample("X", 4)
{
TimeStamp = now.AddSeconds(1.0)
},
new SensorSample("X", 4)
{
TimeStamp = now.AddSeconds(1.0)
},
new SensorSample("X", 4)
{
TimeStamp = now.AddSeconds(1.0)
},
new SensorSample("X", 4)
{
TimeStamp = now.AddSeconds(1.0)
},
new SensorSample("X", 4)
{
TimeStamp = now.AddSeconds(1.0)
},
new SensorSample("X", 4)
{
TimeStamp = now.AddSeconds(1.0)
},
new SensorSample("X", 4)
{
TimeStamp = now.AddSeconds(1.0)
},
new SensorSample("X", 4)
{
TimeStamp = now.AddSeconds(1.0)
},
new SensorSample("X", 4)
{
TimeStamp = now.AddSeconds(1.0)
},
new SensorSample("X", 4)
{
TimeStamp = now.AddSeconds(1.0)
},
new SensorSample("X", 4)
{
TimeStamp = now.AddSeconds(1.0)
},
new SensorSample("X", 4)
{
TimeStamp = now.AddSeconds(1.0)
},
new SensorSample("X", 4)
{
TimeStamp = now.AddSeconds(1.0)
},
new SensorSample("X", 4)
{
TimeStamp = now.AddSeconds(1.0)
},
});
filter.Input(new List <SensorSample>()
{
new SensorSample("X", 4)
{
TimeStamp = now.AddSeconds(1.1)
}
});
filter.Input(new List <SensorSample>()
{
new SensorSample("X", 4)
{
TimeStamp = now.AddSeconds(1.2)
}
});
filter.Input(new List <SensorSample>()
{
new SensorSample("X", 4)
{
TimeStamp = now.AddSeconds(1.3)
}
});
var result = filter.Output.Value;
Assert.IsTrue(Math.Abs(3.727272727d - result) < 0.0000001, $"{result}");
}
public void TriangleFilter2()
{
var filter = new FilterSample(new IOconfFilter("Filter;MyFilter;Triangle;1;X", 0));
var now = DateTime.Now;
filter.Input(new List <SensorSample>()
{
new SensorSample("X", 3)
{
TimeStamp = now
}
});
filter.Input(new List <SensorSample>()
{
new SensorSample("X", 3)
{
TimeStamp = now.AddSeconds(0.1)
}
});
filter.Input(new List <SensorSample>()
{
new SensorSample("X", 3)
{
TimeStamp = now.AddSeconds(0.2)
}
});
filter.Input(new List <SensorSample>()
{
new SensorSample("X", 3)
{
TimeStamp = now.AddSeconds(0.3)
}
});
filter.Input(new List <SensorSample>()
{
new SensorSample("X", 3)
{
TimeStamp = now.AddSeconds(0.4)
}
});
filter.Input(new List <SensorSample>()
{
new SensorSample("X", 3)
{
TimeStamp = now.AddSeconds(0.5)
}
});
filter.Input(new List <SensorSample>()
{
new SensorSample("X", 3)
{
TimeStamp = now.AddSeconds(0.6)
}
});
filter.Input(new List <SensorSample>()
{
new SensorSample("X", 3)
{
TimeStamp = now.AddSeconds(0.7)
}
});
filter.Input(new List <SensorSample>()
{
new SensorSample("X", 3)
{
TimeStamp = now.AddSeconds(0.8)
}
});
filter.Input(new List <SensorSample>()
{
new SensorSample("X", 4)
{
TimeStamp = now.AddSeconds(0.9)
}
});
filter.Input(new List <SensorSample>()
{
new SensorSample("X", 4)
{
TimeStamp = now.AddSeconds(1.0)
}
});
filter.Input(new List <SensorSample>()
{
new SensorSample("X", 4)
{
TimeStamp = now.AddSeconds(1.1)
}
});
filter.Input(new List <SensorSample>()
{
new SensorSample("X", 4)
{
TimeStamp = now.AddSeconds(1.2)
}
});
filter.Input(new List <SensorSample>()
{
new SensorSample("X", 4)
{
TimeStamp = now.AddSeconds(1.3)
}
});
var result = filter.Output.Value;
Assert.IsTrue(Math.Abs(3.727272727d - result) < 0.0000001, $"{result} - {now:o}");
}
public void TriangleFilterHandlesTimeAverageWithoutPrecisionLoss()
{ // this test is a stable reproduction of an issue reproduced by test 2 that only happens with some dates, resulting in a wrong value in the original test
var filter = new FilterSample(new IOconfFilter("Filter;MyFilter;Triangle;1;X", 0));
var now = DateTime.ParseExact("2020-12-04T18:34:53.2064482+01:00", "o", Thread.CurrentThread.CurrentCulture);
filter.Input(new List <SensorSample>()
{
new SensorSample("X", 3)
{
TimeStamp = now
}
});
filter.Input(new List <SensorSample>()
{
new SensorSample("X", 3)
{
TimeStamp = now.AddSeconds(0.1)
}
});
filter.Input(new List <SensorSample>()
{
new SensorSample("X", 3)
{
TimeStamp = now.AddSeconds(0.2)
}
});
filter.Input(new List <SensorSample>()
{
new SensorSample("X", 3)
{
TimeStamp = now.AddSeconds(0.3)
}
});
filter.Input(new List <SensorSample>()
{
new SensorSample("X", 3)
{
TimeStamp = now.AddSeconds(0.4)
}
});
filter.Input(new List <SensorSample>()
{
new SensorSample("X", 3)
{
TimeStamp = now.AddSeconds(0.5)
}
});
filter.Input(new List <SensorSample>()
{
new SensorSample("X", 3)
{
TimeStamp = now.AddSeconds(0.6)
}
});
filter.Input(new List <SensorSample>()
{
new SensorSample("X", 3)
{
TimeStamp = now.AddSeconds(0.7)
}
});
filter.Input(new List <SensorSample>()
{
new SensorSample("X", 3)
{
TimeStamp = now.AddSeconds(0.8)
}
});
filter.Input(new List <SensorSample>()
{
new SensorSample("X", 4)
{
TimeStamp = now.AddSeconds(0.9)
}
});
filter.Input(new List <SensorSample>()
{
new SensorSample("X", 4)
{
TimeStamp = now.AddSeconds(1.0)
}
});
filter.Input(new List <SensorSample>()
{
new SensorSample("X", 4)
{
TimeStamp = now.AddSeconds(1.1)
}
});
filter.Input(new List <SensorSample>()
{
new SensorSample("X", 4)
{
TimeStamp = now.AddSeconds(1.2)
}
});
filter.Input(new List <SensorSample>()
{
new SensorSample("X", 4)
{
TimeStamp = now.AddSeconds(1.3)
}
});
var result = filter.Output.Value;
Assert.IsTrue(Math.Abs(3.727272727d - result) < 0.0000001, $"{result}");
}
