versions of functions, which simply apply a given function f(x) to each element of an array A to yield a new array via f(A). This kind of syntax is convenient for data processing, but in other languages that use f(x): julia> g(x) = f(x) g (generic function with 1 method) julia> t = @async f(wait()); yield(); Now we add some new methods to f(x): julia> f(x::Int) = "definition for Int" f (generic function "definition for Int" julia> fetch(schedule(t, 1)) "original definition" julia> t = @async f(wait()); yield(); julia> fetch(schedule(t, 1)) "definition for Int"CHAPTER 12. METHODS 160 12.6 Design Patterns

versions of functions, which simply apply a given function f(x) to each element of an array A to yield a new array via f(A). This kind of syntax is convenient for data processing, but in other languages that use f(x): julia> g(x) = f(x) g (generic function with 1 method) julia> t = @async f(wait()); yield(); Now we add some new methods to f(x): julia> f(x::Int) = "definition for Int" f (generic function "definition for Int" julia> fetch(schedule(t, 1)) "original definition" julia> t = @async f(wait()); yield(); julia> fetch(schedule(t, 1)) "definition for Int"CHAPTER 12. METHODS 160 12.6 Design Patterns

versions of functions, which simply apply a given function f(x) to each element of an array A to yield a new array via f(A). This kind of syntax is convenient for data processing, but in other languages that use f(x): julia> g(x) = f(x) g (generic function with 1 method) julia> t = @async f(wait()); yield(); Now we add some new methods to f(x): julia> f(x::Int) = "definition for Int" f (generic function "definition for Int" julia> fetch(schedule(t, 1)) "original definition" julia> t = @async f(wait()); yield(); julia> fetch(schedule(t, 1)) "definition for Int" 13.6 Design Patterns with Parametric Methods

versions of functions, which simply apply a given function f(x) to each element of an array A to yield a new array via f(A). This kind of syntax is convenient for data processing, but in other languages that use f(x): julia> g(x) = f(x) g (generic function with 1 method) julia> t = @async f(wait()); yield(); Now we add some new methods to f(x): julia> f(x::Int) = "definition for Int" f (generic function "definition for Int" julia> fetch(schedule(t, 1)) "original definition" julia> t = @async f(wait()); yield(); julia> fetch(schedule(t, 1)) "definition for Int" 13.6 Design Patterns with Parametric Methods

versions of functions, which simply apply a given function f(x) to each element of an array A to yield a new array via f(A). This kind of syntax is convenient for data processing, but in other languages that use f(x): julia> g(x) = f(x) g (generic function with 1 method) julia> t = @async f(wait()); yield(); Now we add some new methods to f(x): julia> f(x::Int) = "definition for Int" f (generic function "definition for Int" julia> fetch(schedule(t, 1)) "original definition" julia> t = @async f(wait()); yield(); julia> fetch(schedule(t, 1)) "definition for Int" CHAPTER 12. METHODS 158 12.6 Design Patterns

versions of functions, which simply apply a given function f(x) to each element of an array A to yield a new array via f(A). This kind of syntax is convenient for data processing, but in other languages that use f(x): julia> g(x) = f(x) g (generic function with 1 method) julia> t = @async f(wait()); yield(); Now we add some new methods to f(x): julia> f(x::Int) = "definition for Int" f (generic function "definition for Int" julia> fetch(schedule(t, 1)) "original definition" julia> t = @async f(wait()); yield(); julia> fetch(schedule(t, 1)) "definition for Int" CHAPTER 12. METHODS 158 12.6 Design Patterns

versions of functions, which simply apply a given function f(x) to each element of an array A to yield a new array via f(A). This kind of syntax is convenient for data processing, but in other languages that use f(x): julia> g(x) = f(x) g (generic function with 1 method) julia> t = @async f(wait()); yield(); Now we add some new methods to f(x): julia> f(x::Int) = "definition for Int" f (generic function "definition for Int" julia> fetch(schedule(t, 1)) "original definition" julia> t = @async f(wait()); yield(); julia> fetch(schedule(t, 1)) "definition for Int" CHAPTER 12. METHODS 159 12.6 Design Patterns

versions of functions, which simply apply a given function f(x) to each element of an array A to yield a new array via f(A). This kind of syntax is convenient for data processing, but in other languages that use f(x): julia> g(x) = f(x) g (generic function with 1 method) julia> t = @async f(wait()); yield(); Now we add some new methods to f(x): julia> f(x::Int) = "definition for Int" f (generic function "definition for Int" julia> fetch(schedule(t, 1)) "original definition" julia> t = @async f(wait()); yield(); julia> fetch(schedule(t, 1)) "definition for Int" CHAPTER 12. METHODS 158 12.6 Design Patterns

versions of functions, which simply apply a given function f(x) to each element of an array A to yield a new array via f(A). This kind of syntax is convenient for data processing, but in other languages that use f(x): julia> g(x) = f(x) g (generic function with 1 method) julia> t = @async f(wait()); yield(); Now we add some new methods to f(x): julia> f(x::Int) = "definition for Int" f (generic function "definition for Int" julia> fetch(schedule(t, 1)) "original definition" julia> t = @async f(wait()); yield(); julia> fetch(schedule(t, 1)) "definition for Int" 13.6 Design Patterns with Parametric Methods

versions of functions, which simply apply a given function f(x) to each element of an array A to yield a new array via f(A). This kind of syntax is convenient for data processing, but in other languages that use f(x): julia> g(x) = f(x) g (generic function with 1 method) julia> t = @async f(wait()); yield(); Now we add some new methods to f(x): julia> f(x::Int) = "definition for Int" f (generic function "definition for Int" julia> fetch(schedule(t, 1)) "original definition" julia> t = @async f(wait()); yield(); julia> fetch(schedule(t, 1)) "definition for Int" 13.6 Design Patterns with Parametric Methods