Generalize mean to other types
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1 changed files with 5 additions and 2 deletions
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@ -114,10 +114,13 @@ proc sum*[T](x: openArray[T]): T {.noSideEffect.} =
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## If `x` is empty, 0 is returned.
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## If `x` is empty, 0 is returned.
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for i in items(x): result = result + i
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for i in items(x): result = result + i
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proc mean*(x: openArray[float]): float {.noSideEffect.} =
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template toFloat(f: float): float = f
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proc mean*[T](x: openArray[T]): float {.noSideEffect.} =
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## computes the mean of the elements in `x`.
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## computes the mean of the elements in `x`.
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## If `x` is empty, NaN is returned.
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## If `x` is empty, NaN is returned.
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result = sum(x) / toFloat(len(x))
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## ``toFloat(x: T): float`` must be defined.
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result = toFloat(sum(x)) / toFloat(len(x))
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proc variance*(x: openArray[float]): float {.noSideEffect.} =
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proc variance*(x: openArray[float]): float {.noSideEffect.} =
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## computes the variance of the elements in `x`.
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## computes the variance of the elements in `x`.
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