I'm currently making a tic-tac-toe program with AI and i'm having a bit of a trouble translating this line of code (python) :
RANKS = dict([(4,3), # center = 3
(0,2),(2,2),(6,2),(8,2), # corners = 2
(1,1),(3,1),(5,1),(7,1)]) # sides = 1
into C++
any suggestions?
Generally, the C standard library does not include a built-in dictionary data structure, but the POSIX standard specifies hash table management routines that can be utilized to implement dictionary functionality.
Like Python, C++ comes with a great set of containers. The most commonly used are vectors and dictionaries.
defaultdict. defaultdict handles our previous error by building on top of dictionaries. It does not give a KeyError like the regular dictionaries. However, whenever you try to access or “assign to” a key that is not there, it will create that key and give it a default value that was already specified .
According to the python doc, you can indeed use the == operator on dictionaries.
The closest match in C++ would be an std::unordered_map<int, int>
. This is a hash table mapping int
keys to int
values.
#include <unordered_map>
std::unordered_map<int, int> RANKS = {
{ 4, 3 },
{ 0, 2 }, { 2, 2 }, { 6, 2 }, { 8, 2 },
{ 1, 1 }, { 3, 1 }, { 5, 1 }, { 7, 1 }
};
You can access elements using operator[]
, for example
std::cout << RANKS[0] << std::endl; // prints "2"
Note that the C++ standard library also has the std::map
class template, which allows you to create a similar but ordered look-up table std::map<int, int>
, with logarithmic look-up and insertion complexity. But python dict
s are hash tables, so unordered_map
is a closer match in terms of behaviour.
You could use a map or unordered_map for this (and they'd work fine) but given that your keys are a dense set of integers (I.e. all the integers from 0 to N) there are better choices.
I'd probably use an std::array
instead. It would look something like this:
std::array <char, 9> vals = { 2, 1, 2, 1, 3, 1, 2, 1, 2 };
This gives pretty much the same syntax and observable behavior, but will typically save quite a bit of memory and probably CPU time as well.
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