squiggle/packages/squiggle-lang/src/rescript/Utility/Operation.res

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// This file has no dependencies. It's used outside of the interpreter, but the interpreter depends on it.
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@genType
type algebraicOperation = [
| #Add
| #Multiply
| #Subtract
| #Divide
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| #Power
| #Logarithm
| #LogarithmWithThreshold(float)
]
type convolutionOperation = [
| #Add
| #Multiply
| #Subtract
]
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@genType
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type pointwiseOperation = [#Add | #Multiply | #Power]
type scaleOperation = [#Multiply | #Power | #Logarithm | #LogarithmWithThreshold(float) | #Divide]
type distToFloatOperation = [
| #Pdf(float)
| #Cdf(float)
| #Inv(float)
| #Mean
| #Sample
]
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module Convolution = {
type t = convolutionOperation
//Only a selection of operations are supported by convolution.
let fromAlgebraicOperation = (op: algebraicOperation): option<convolutionOperation> =>
switch op {
| #Add => Some(#Add)
| #Subtract => Some(#Subtract)
| #Multiply => Some(#Multiply)
| #Divide | #Power | #Logarithm | #LogarithmWithThreshold(_) => None
}
let canDoAlgebraicOperation = (op: algebraicOperation): bool =>
fromAlgebraicOperation(op)->E.O.isSome
let toFn: (t, float, float) => float = x =>
switch x {
| #Add => \"+."
| #Subtract => \"-."
| #Multiply => \"*."
}
}
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type operationError =
| DivisionByZeroError
| ComplexNumberError
| InfinityError
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| NegativeInfinityError
| SampleMapNeedsNtoNFunction
| PdfInvalidError
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| NotYetImplemented // should be removed when `klDivergence` for mixed and discrete is implemented.
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@genType
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module Error = {
@genType
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type t = operationError
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let toString = (err: t): string =>
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switch err {
| DivisionByZeroError => "Cannot divide by zero"
| ComplexNumberError => "Operation returned complex result"
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| InfinityError => "Operation returned positive infinity"
| NegativeInfinityError => "Operation returned negative infinity"
| SampleMapNeedsNtoNFunction => "SampleMap needs a function that converts a number to a number"
| PdfInvalidError => "This Pdf is invalid"
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| NotYetImplemented => "This pathway is not yet implemented"
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}
}
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let power = (a: float, b: float): result<float, Error.t> =>
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if a >= 0.0 {
Ok(a ** b)
} else {
Error(ComplexNumberError)
}
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let divide = (a: float, b: float): result<float, Error.t> =>
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if b != 0.0 {
Ok(a /. b)
} else {
Error(DivisionByZeroError)
}
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let logarithm = (a: float, b: float): result<float, Error.t> =>
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if b == 1. {
Error(DivisionByZeroError)
} else if b == 0. {
Ok(0.)
} else if a > 0.0 && b > 0.0 {
Ok(log(a) /. log(b))
} else if a == 0.0 {
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Error(NegativeInfinityError)
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} else {
Error(ComplexNumberError)
}
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@genType
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module Algebraic = {
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@genType
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type t = algebraicOperation
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let toFn: (t, float, float) => result<float, Error.t> = (x, a, b) =>
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switch x {
| #Add => Ok(a +. b)
| #Subtract => Ok(a -. b)
| #Multiply => Ok(a *. b)
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| #Power => power(a, b)
| #Divide => divide(a, b)
| #Logarithm => logarithm(a, b)
| #LogarithmWithThreshold(eps) =>
if a < eps {
Ok(0.0)
} else {
logarithm(a, b)
}
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}
let toString = x =>
switch x {
| #Add => "+"
| #Subtract => "-"
| #Multiply => "*"
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| #Power => "**"
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| #Divide => "/"
| #Logarithm => "log"
| #LogarithmWithThreshold(_) => "log"
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}
let format = (a, b, c) => b ++ (" " ++ (toString(a) ++ (" " ++ c)))
}
module Pointwise = {
type t = pointwiseOperation
let toString = x =>
switch x {
| #Add => "+"
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| #Power => "**"
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| #Multiply => "*"
}
let format = (a, b, c) => b ++ (" " ++ (toString(a) ++ (" " ++ c)))
}
module DistToFloat = {
type t = distToFloatOperation
let format = (operation, value) =>
switch operation {
| #Cdf(f) => j`cdf(x=$f,$value)`
| #Pdf(f) => j`pdf(x=$f,$value)`
| #Inv(f) => j`inv(x=$f,$value)`
| #Sample => "sample($value)"
| #Mean => "mean($value)"
}
}
// Note that different logarithms don't really do anything.
module Scale = {
type t = scaleOperation
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let toFn = (x: t, a: float, b: float): result<float, Error.t> =>
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switch x {
| #Multiply => Ok(a *. b)
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| #Divide => divide(a, b)
| #Power => power(a, b)
| #Logarithm => logarithm(a, b)
| #LogarithmWithThreshold(eps) =>
if a < eps {
Ok(0.0)
} else {
logarithm(a, b)
}
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}
let format = (operation: t, value, scaleBy) =>
switch operation {
| #Multiply => j`verticalMultiply($value, $scaleBy) `
| #Divide => j`verticalDivide($value, $scaleBy) `
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| #Power => j`verticalPower($value, $scaleBy) `
| #Logarithm => j`verticalLog($value, $scaleBy) `
| #LogarithmWithThreshold(eps) => j`verticalLog($value, $scaleBy, epsilon=$eps) `
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}
let toIntegralSumCacheFn = x =>
switch x {
| #Multiply => (a, b) => Some(a *. b)
| #Divide => (a, b) => Some(a /. b)
| #Power | #Logarithm | #LogarithmWithThreshold(_) => (_, _) => None
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}
let toIntegralCacheFn = x =>
switch x {
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| #Multiply => (_, _) => None // TODO: this could probably just be multiplied out (using Continuous.scaleBy)
| #Divide => (_, _) => None
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| #Power => (_, _) => None
| #Logarithm => (_, _) => None
| #LogarithmWithThreshold(_) => (_, _) => None
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}
}
module Truncate = {
let toString = (left: option<float>, right: option<float>, nodeToString) => {
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let left = left |> E.O.dimap(Js.Float.toString, () => "-inf")
let right = right |> E.O.dimap(Js.Float.toString, () => "inf")
j`truncate($nodeToString, $left, $right)`
}
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}