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I am trying to calculate body fat related calculation but it will give me error binary operator can not be applied on operands.
it is gives me error like this
error: :3:22: error: binary operator '/' cannot be applied to
operands of type 'Optional' and 'Int' print((lbs * Int(Fat /
100)))
Here is my expression. how I can solve this.
let bodyFatPounds = (lbs * Int(Fat / 100))
let LBM = Double(lbs - bodyFatPounds)
Fat value in your code is optional and that's why it showing this error. Use to convert like this
let bodyFatPounds = (lbs * Int((Fat ?? 0) / 100))
let LBM = Double(lbs - bodyFatPounds)
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I'm practicing F# for the first time and I thought I'd try to make a program that would calculate the areas of different kinds of shapes. However, the portion that finds the area of a circle is giving me a lot of trouble.enter code here
elif stringInput = "2" then
let PI = 3.14156
printfn "What is the circle's radius: "
let radiusString = System.Console.ReadLine()
let radiusInt = radiusString |> float
let cirlceArea = (radiusInt * radiusInt) * PI
printfn "The area of the circle is : %d" cirlceArea
I'm sure it has something to do with the radiusString |> float part of the code, but nothing I've tried works and I've had no luck in finding any examples that can help. What can I do?
Ok I just found out the problem was that I was using %d instead of %f
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I am trying to say if the desired location in the field is 1 return true otherwise return false. Why is this code not working?
fireShot :: Coordinate -> Field -> Bool
fireShot coord Shipfield
| nth ( fst(coord)((nth snd(coord)) ShipField) == 1 = True
| otherwise = False
The brackets in the guard are not balanced, you open five brackets, and you close four brackets. Furthermore variables start with a lowercase, so it should (probably) be shipfield, not Shipfield.
I think it might be better to use pattern matching to obtain the first and second coordinate, since this will make the code more clean. You furthermore do not need guards to return True and False. You can replace the function with:
fireShot :: Coordinate -> Field -> Bool
fireShot (x,y) shipfield = nth x (nth y shipfield) == 1
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I working on a Swift program and now I have a problem:
How do you compare a Int64 with a Int64?
if(msgCount.value != msg.longLongValue){
Error:
Binary operator '!=' cannot be applied to operands of type 'Int64' and 'Int64'
You can directly compare for equality
Try this, it will help you:
let msgCount : Int64=100
let msg : Int64=101
if(msgCount != msg ){
// perform your logic here.
}
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Hi this is my first lua code but I get a error pls fix it thx in advanced if you do get this working. I have a feeling its a small thing I'm missing.
class 'Autochat'
TalkTimer = Timer()
local TalkDelay = 1 -- in minutes
local active = 1
function
if active = 0 then
return
end
if active ~= "0" then
if(TalkTimer:GetSeconds() > (60 * timeDelay)) then
Chat:Broadcast("Hi the admin is offline.", Colors(0, 255, 0))
TalkTimer:Restart()
end
end
end
Autochat = Autochat()
The function is missing a name. Lua reads to the next line looking for the function's name and gets confused when it finds an if statement.
Also, the first if statement should be if active == 0 then because == is the comparison operator.
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I've been using the simple_statistics gem, but im looking to calculate the EMA on the last x records. For example (when calculating WMA)
#stockticker.ema10 = s.stocktickers.last(10).map(&:current_price).map{|f| f.to_f}.wma
I was wondering if anyone can provide advise on how I got about calculating the EMA in rails?
It looks like the Moving Averages gem might be what you're looking for. Here is a copy of their exponential_moving_average method for reference as well.
class Array
def exponential_moving_average(idx=nil, tail=nil)
idx, tail = idx_and_tail_or_defaults(idx, tail)
valid_for_ma(idx, tail)
alpha = 2.0 / (tail + 1)
n = (1..tail).to_a.map{|tidx| (1 - alpha) ** (tidx - 1) * self[idx - tidx + 1]}.sum
d = (1..tail).to_a.map{|tidx| (1 - alpha) ** (tidx - 1)}.sum
n / d
end
alias_method :ema, :exponential_moving_average
end
I am the developer of Statsample-timeseries gem which is an extension of Statsample, an advance statistical suite in Ruby. It has quite many statistical methods (including EMA) which you can perform on your data.
If you need any assistance, I will be very happy to help out. :)