Update syntax for in calls

The call was flipped from how it is in the current documentation: http://docs.julialang.org/en/latest/stdlib/base/#Base.in
This commit is contained in:
supernullset 2013-11-04 19:21:17 -08:00
parent 9f0ae279d8
commit 2a60ecbb8d

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@ -100,7 +100,7 @@ false
println("I'm Julia. Nice to meet you!")
# You don't declare variables before assigning to them.
some_var = 5 #=> 5
some_var = 5 #=> 5
some_var #=> 5
# Accessing a previously unassigned variable is an error
@ -201,7 +201,7 @@ b = [1,2,3]
append!(a,b) # Now a is [1, 2, 3, 4, 5, 1, 2, 3]
# Check for existence in a list with in
in(a,1) #=> true
in(1, a) #=> true
# Examine the length with length
length(a) #=> 8
@ -218,7 +218,7 @@ end
# Many list functions also work on tuples
length(tup) #=> 3
tup[1:2] #=> (1,2)
in(tup,2) #=> true
in(2, tup) #=> true
# You can unpack tuples into variables
a, b, c = (1, 2, 3) #=> (1,2,3) # a is now 1, b is now 2 and c is now 3
@ -249,14 +249,14 @@ keys(filled_dict)
#=> KeyIterator{Dict{ASCIIString,Int64}}(["three"=>3,"one"=>1,"two"=>2])
# Note - dictionary keys are not sorted or in the order you inserted them.
# Get all values
# Get all values
values(filled_dict)
#=> ValueIterator{Dict{ASCIIString,Int64}}(["three"=>3,"one"=>1,"two"=>2])
# Note - Same as above regarding key ordering.
# Check for existence of keys in a dictionary with in, haskey
in(filled_dict, ("one", 1)) #=> true
in(filled_dict, ("two", 3)) #=> false
in(("one", 1), filled_dict) #=> true
in(("two", 3), filled_dict) #=> false
haskey(filled_dict, "one") #=> true
haskey(filled_dict, 1) #=> false
@ -281,8 +281,8 @@ filled_set = Set(1,2,2,3,4) #=> Set{Int64}(1,2,3,4)
push!(filled_set,5) #=> Set{Int64}(5,4,2,3,1)
# Check if the values are in the set
in(filled_set,2) #=> true
in(filled_set,10) #=> false
in(2, filled_set) #=> true
in(10, filled_set) #=> false
# There are functions for set intersection, union, and difference.
other_set = Set(3, 4, 5, 6) #=> Set{Int64}(6,4,5,3)
@ -396,7 +396,7 @@ varargs(1,2,3) #=> (1,2,3)
# The ... is called a splat.
# We just used it in a function definition.
# It can also be used in a fuction call,
# where it will splat an Array or Tuple's contents into the argument list.
# where it will splat an Array or Tuple's contents into the argument list.
Set([1,2,3]) #=> Set{Array{Int64,1}}([1,2,3]) # produces a Set of Arrays
Set([1,2,3]...) #=> Set{Int64}(1,2,3) # this is equivalent to Set(1,2,3)
@ -423,7 +423,7 @@ end
# You can define functions that take keyword arguments
function keyword_args(;k1=4,name2="hello") # note the ;
return ["k1"=>k1,"name2"=>name2]
end
end
keyword_args(name2="ness") #=> ["name2"=>"ness","k1"=>4]
keyword_args(k1="mine") #=> ["k1"=>"mine","name2"=>"hello"]
@ -511,7 +511,7 @@ end
# The default constructor's arguments are the properties
# of the tyep, in order the order they are listed in the definition
tigger = Tiger(3.5,"orange") #=> Tiger(3.5,"orange")
# The type doubles as the constructor function for values of that type
sherekhan = typeof(tigger)(5.6,"fire") #=> Tiger(5.6,"fire")
@ -529,8 +529,8 @@ subtypes(Number) #=> 6-element Array{Any,1}:
# Complex{Float32}
# Complex{Float64}
# Complex{T<:Real}
# ImaginaryUnit
# Real
# ImaginaryUnit
# Real
subtypes(Cat) #=> 0-element Array{Any,1}
# Every type has a super type; use the `super` function to get it.
@ -565,7 +565,7 @@ end
# When possible, you should use outer constructors rather than inner ones.
####################################################
## 6. Multiple-Dispatch
## 6. Multiple-Dispatch
####################################################
# In Julia, all named functions are generic functions
@ -641,11 +641,11 @@ end
# Also let the cat go first
fight(c::Cat,l::Lion) = println("The cat beats the Lion")
#=> Warning: New definition
#=> Warning: New definition
# fight(Cat,Lion) at none:1
# is ambiguous with
# is ambiguous with
# fight(Lion,Cat) at none:2.
# Make sure
# Make sure
# fight(Lion,Lion)
# is defined first.
#fight (generic function with 4 methods)