Unicity of complex key dictionaries in go but not in julia

function is_unique(dict)
    keys = []
    for key in keys(dict)
        if key in keys
            return false
        else
            push!(keys, key)
        end
    end
    return true
end

Option 1: Using a Set

One way to solve the problem is by using a set data structure. A set is an unordered collection of unique elements. In Julia, we can use the `Set` type to store the keys of the dictionary. We can iterate over the keys of the dictionary and check if each key is already in the set. If it is, then the dictionary does not have unique keys. If all keys are unique, then the dictionary has unique keys.

function is_unique(dict)
    keys_set = Set{Any}()
    for key in keys(dict)
        if key in keys_set
            return false
        else
            push!(keys_set, key)
        end
    end
    return true
end

By using a set, we can easily check if a key is already in the set in constant time. This solution has a time complexity of O(n), where n is the number of keys in the dictionary.

Option 2: Using a Dictionary

Another way to solve the problem is by using a dictionary itself. In Julia, a dictionary can only have unique keys. We can create an empty dictionary and iterate over the keys of the input dictionary. For each key, we can check if it already exists in the empty dictionary. If it does, then the input dictionary does not have unique keys. If all keys are unique, then the input dictionary has unique keys.

function is_unique(dict)
    unique_dict = Dict{Any, Any}()
    for key in keys(dict)
        if haskey(unique_dict, key)
            return false
        else
            unique_dict[key] = dict[key]
        end
    end
    return true
end

This solution has a time complexity of O(n), where n is the number of keys in the dictionary. However, it requires additional memory to store the unique dictionary.

Option 3: Using a Flag

Alternatively, we can solve the problem by using a flag variable. We can initialize the flag as `false` and iterate over the keys of the dictionary. For each key, we can check if it is already in the dictionary. If it is, then the dictionary does not have unique keys and we can set the flag as `true`. If all keys are unique, then the flag remains `false`.

function is_unique(dict)
    has_duplicate = false
    for key in keys(dict)
        if key in dict
            has_duplicate = true
            break
        end
    end
    return !has_duplicate
end

This solution has a time complexity of O(n), where n is the number of keys in the dictionary. It does not require additional memory to store the keys or the dictionary.

Among the three options, using a set is the better solution. It provides a more efficient way to check if a key is already in the set in constant time. Additionally, it does not require additional memory to store the keys or the dictionary. Therefore, using a set is the recommended solution for checking the unicity of complex key dictionaries in Julia.