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[julia/en] camelCase functions => snake_case
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@ -434,8 +434,8 @@ add(5, 6)
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# => 11
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# Compact assignment of functions
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fAdd(x, y) = x + y # => fAdd (generic function with 1 method)
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fAdd(3, 4) # => 7
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f_add(x, y) = x + y # => f_add (generic function with 1 method)
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f_add(3, 4) # => 7
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# Function can also return multiple values as tuple
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fn(x, y) = x + y, x - y # => fn (generic function with 1 method)
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@ -478,56 +478,56 @@ catch e
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end
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# You can define functions that take keyword arguments
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function keywordArgs(;k1=4, name2="hello") # note the ;
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function keyword_args(;k1=4, name2="hello") # note the ;
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return Dict("k1" => k1, "name2" => name2)
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end
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# => keywordArgs (generic function with 1 method)
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# => keyword_args (generic function with 1 method)
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keywordArgs(name2="ness") # => ["name2"=>"ness", "k1"=>4]
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keywordArgs(k1="mine") # => ["name2"=>"hello", "k1"=>"mine"]
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keywordArgs() # => ["name2"=>"hello", "k1"=>4]
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keyword_args(name2="ness") # => ["name2"=>"ness", "k1"=>4]
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keyword_args(k1="mine") # => ["name2"=>"hello", "k1"=>"mine"]
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keyword_args() # => ["name2"=>"hello", "k1"=>4]
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# You can combine all kinds of arguments in the same function
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function allTheArgs(normalArg, optionalPositionalArg=2; keywordArg="foo")
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function all_the_args(normalArg, optionalPositionalArg=2; keywordArg="foo")
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println("normal arg: $normalArg")
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println("optional arg: $optionalPositionalArg")
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println("keyword arg: $keywordArg")
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end
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# => allTheArgs (generic function with 2 methods)
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# => all_the_args (generic function with 2 methods)
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allAheArgs(1, 3, keywordArg=4)
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all_the_args(1, 3, keywordArg=4)
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# => normal arg: 1
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# => optional arg: 3
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# => keyword arg: 4
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# Julia has first class functions
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function createAdder(x)
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function create_adder(x)
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adder = function (y)
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return x + y
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end
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return adder
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end
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# => createAdder (generic function with 1 method)
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# => create_adder (generic function with 1 method)
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# This is "stabby lambda syntax" for creating anonymous functions
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(x -> x > 2)(3) # => true
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# This function is identical to createAdder implementation above.
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function createAdder(x)
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# This function is identical to create_adder implementation above.
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function create_adder(x)
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y -> x + y
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end
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# => createAdder (generic function with 1 method)
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# => create_adder (generic function with 1 method)
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# You can also name the internal function, if you want
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function createAdder(x)
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function create_adder(x)
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function adder(y)
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x + y
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end
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adder
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end
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# => createAdder (generic function with 1 method)
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# => create_adder (generic function with 1 method)
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add10 = createAdder(10) # => (::getfield(Main, Symbol("#adder#11")){Int64})
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add10 = create_adder(10) # => (::getfield(Main, Symbol("#adder#11")){Int64})
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# (generic function with 1 method)
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add10(3) # => 13
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@ -669,14 +669,14 @@ Lion <: Cat # => true
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Panther <: Cat # => true
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# Defining a function that takes Cats
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function petCat(cat::Cat)
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function pet_cat(cat::Cat)
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println("The cat says $(meow(cat))")
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end
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# => petCat (generic function with 1 method)
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# => pet_cat (generic function with 1 method)
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petCat(Lion("42")) # => The cat says 42
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pet_cat(Lion("42")) # => The cat says 42
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try
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petCat(tigger) # => ERROR: MethodError: no method matching petCat(::Tiger)
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pet_cat(tigger) # => ERROR: MethodError: no method matching pet_cat(::Tiger)
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catch e
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println(e)
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end
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@ -744,14 +744,14 @@ fight(Lion("RAR"), Lion("brown", "rarrr")) # => The lions come to a tie
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# Under the hood
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# You can take a look at the llvm and the assembly code generated.
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squareArea(l) = l * l # squareArea (generic function with 1 method)
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square_area(l) = l * l # square_area (generic function with 1 method)
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squareArea(5) # => 25
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square_area(5) # => 25
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# What happens when we feed squareArea an integer?
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codeNative(squareArea, (Int32,), syntax = :intel)
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# What happens when we feed square_area an integer?
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codeNative(square_area, (Int32,), syntax = :intel)
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# .text
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# ; Function squareArea {
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# ; Function square_area {
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# ; Location: REPL[116]:1 # Prologue
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# push rbp
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# mov rbp, rsp
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@ -765,9 +765,9 @@ codeNative(squareArea, (Int32,), syntax = :intel)
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# nop dword ptr [rax + rax]
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# ;}
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codeNative(squareArea, (Float32,), syntax = :intel)
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codeNative(square_area, (Float32,), syntax = :intel)
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# .text
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# ; Function squareArea {
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# ; Function square_area {
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# ; Location: REPL[116]:1
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# push rbp
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# mov rbp, rsp
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@ -780,9 +780,9 @@ codeNative(squareArea, (Float32,), syntax = :intel)
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# nop word ptr [rax + rax]
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# ;}
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codeNative(squareArea, (Float64,), syntax = :intel)
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codeNative(square_area, (Float64,), syntax = :intel)
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# .text
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# ; Function squareArea {
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# ; Function square_area {
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# ; Location: REPL[116]:1
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# push rbp
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# mov rbp, rsp
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@ -798,12 +798,12 @@ codeNative(squareArea, (Float64,), syntax = :intel)
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# Note that julia will use floating point instructions if any of the
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# arguments are floats.
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# Let's calculate the area of a circle
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circleArea(r) = pi * r * r # circleArea (generic function with 1 method)
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circleArea(5) # 78.53981633974483
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circle_area(r) = pi * r * r # circle_area (generic function with 1 method)
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circle_area(5) # 78.53981633974483
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codeNative(circleArea, (Int32,), syntax = :intel)
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codeNative(circle_area, (Int32,), syntax = :intel)
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# .text
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# ; Function circleArea {
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# ; Function circle_area {
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# ; Location: REPL[121]:1
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# push rbp
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# mov rbp, rsp
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@ -832,9 +832,9 @@ codeNative(circleArea, (Int32,), syntax = :intel)
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# nop dword ptr [rax]
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# ;}
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codeNative(circleArea, (Float64,), syntax = :intel)
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codeNative(circle_area, (Float64,), syntax = :intel)
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# .text
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# ; Function circleArea {
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# ; Function circle_area {
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# ; Location: REPL[121]:1
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# push rbp
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# mov rbp, rsp
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