Environment to create new AI agents

[Pabloo22]

The purpose of this changes is to have a more appropiate and tidy environment to develop new AI agents.

New files

• game_AI_vs_AI: this file allows us to spectate a game between 2 agents
• game_human_vs_AI: this file allows us to play a game versus an agent
• agents: where all the different agents will be implemented. It have a random agent already developed.

New feautures:

In ConnectGame:

New methods:

• do_movement
• compare_agents

In GameBoard:

The changes made in this class have two objectives. The first one is to improve efficient (very useful for the future AI agents). The second one is to be able to know which squares verified that if a player had a piece in a given coordinate he would win (win squares). This will be very useful for future AI agents that calculate the heuristic of a board .

New attributes

• slots_filled. It makes more efficient to calculate ties
• p1_win_squares and p2_win_squares. A set with the coordinates of the win squares.

Methods changed

• drop_piece
• horizontal win
• vertical win
• diagonal win
• winning move
• tie move

New methods

• is_valid_coord
• _set_horizontal_win_squares
• _set_vertical_win_squares
• _set_diagonal_win_squares
• _set_win_square
• _analyze_square

[bymayanksingh]

can you squash multiple commits in one? @Pabloo22

[Pabloo22]

I was trying to do that but I don't know how to use git, so it would take me a while to learn how to do that. I have deleted this repository and I will create another pull request with only 1 commit.

[Pabloo22]

I was trying to do that but I don't know how to use git, so it would take me a while to learn how to do that. I have deleted this repository and I will create another pull request with only 1 commit.

You can delete this branch