# How to calculate Euclidean distance between a tuple and each tuple in a Vector using map in Julia?

I want to calculate the Euclidean distance between a tuple and each tuple within a Vector in Julia using the `map` function, like below (but I get two values instead of three):

``````julia> tups = [
(1, 3),
(11, 2),
(0, 1)
];

julia> map((x, y) -> √(sum((x.-y).^2)), tups, (3, 3))
2-element Vector{Float64}:
2.0
8.06225774829855
``````

How can I make it work correctly?

### >Solution :

The code you’ve written is pretty equal to this:

``````[
func((1, 3), 3),
func((11, 2), 3)
]
``````

The `map` function iterates over the given collections iter times equal to the lowest length:

``````julia> length((3, 3)), length(tups)
(2, 3)
``````

So it iterates two times, not three. To make that work, you can repeat the (3, 3), three times or even omit the (3, 3) argument:

``````julia> map((x, y) -> √(sum((x.-y).^2)), tups, ((3, 3), (3, 3), (3, 3)))
3-element Vector{Float64}:
2.0
8.06225774829855
3.605551275463989

# OR

julia>  map((x, y) -> √(sum((x.-y).^2)), tups, ((3, 3) for _∈1:3))
3-element Vector{Float64}:
2.0
8.06225774829855
3.605551275463989

# Or omit the last argument

julia> map(arg -> √((3 - arg)^2 + (3 - arg)^2), tups)
3-element Vector{Float64}:
2.0
8.06225774829855
3.605551275463989
``````