I\'m writing up a series of graph-searching algorithms in F# and thought it would be nice to take advantage of parallelization. I wanted to execute several threads in parallel and take the result of t
i have something like type A = X of string Y of int i have a sequence of X types, [X \"foo\"; X \"boo\"; X \"moo\"]
I\'ve been experimenting with F# and would like to try using it in a C# project for certain pieces of code that would benefit from the language.
I need to interop with some C# code with F#. Null is a possible value that it is given so I need to check if the value was null. The docs suggest using pattern matching as such:
There is code in Expert F# like this : // Perform a CPU-intensive operation on the image. pixels |> Func.repeatN processImageRepeats (Array.map (fun b -> b + 1uy))
I\'m trying to parse standard simple types (in the sense of lambda calculus) using FParsec, but I\'ve having difficulty going from a Lex/Yacc style to that used in FParsec, specifically with respect t
I\'ve used F# to do some quick data-analysis using datastructures from another project.To do so, it needs access to this project; i.e. it needs an assembly reference - but the project is an executable
I have created a function in F# to recover historical data from Yahoo (the classic asynchronous example for F#):
Having read this article F# Versus Mathematics: Part One - Getting Started with BLAS and LAPACK I stumbled across the term stack imbalance in the paragraph A Warning, Perhaps an Omen.
Given the following contrived active pattern: let (|TypeDef|_|) (typeDef:Type) (value:obj) = if obj.ReferenceEquals(value, null) then 开发者_StackOverflow社区None
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