test v1.0

play.py

@@ -2,40 +2,29 @@
 from blokus_gym.envs.blokus_env import BlokusEnv
 import gym
 import random
-import pkg_resources
 
 if __name__ == "__main__":
-    # version = pkg_resources.get_distribution("compare_with_remote").version
-    # split_version = version.split('.')
-    # try:
-    #     split_version[-1] = str(int(split_version[-1]) + 1)
-    # except ValueError:
-    #     # do something about the letters in the last field of version
-    #     pass
-    # new_version = '.'.join(split_version)
-    new_version = float(pkg_resources.get_distribution("blokus_gym").version) + 0.01
-    print(f"{new_version:0.2f}")
-    # # env = BlokusEnv()
-    # env = gym.make("blokus_gym:blokus-hard-greedy-v0")  # Make sure to do: pip install -e . in root
-    # print(f"number of possible moves {env.action_space}")
-    # for _ in range(100000):
-    #     while True:
-    #         # input()
-    #         action = env.action_space.sample()
-    #         # action = random.randint(0, 918)
-    #         observation, reward, done, info = env.step(action)
-    #         env.render("human")
-    #         # print(env.ai.all_ids_to_move.keys())
-    #         print(reward)
+    # env = BlokusEnv()
+    env = gym.make("blokus_gym:blokus-simple-v0")  # Make sure to do: pip install -e . in root
+    print(f"number of possible moves {env.action_space}")
+    for _ in range(100000):
+        while True:
+            # input()
+            action = env.action_space.sample()
+            # action = random.randint(0, 918)
+            observation, reward, done, info = env.step(action)
+            env.render("human")
+            # print(env.ai.all_ids_to_move.keys())
+            print(reward)
 
-    #         if done:
-    #             # print(env.ai.all_ids_to_move.keys())
-    #             # input()
-    #             print(f"{'won' if reward == 2 else ('tie-won' if reward == 0 else 'lost')}")
-    #             # print(env.ai.all_ids_to_move.keys())
-    #             observation = env.reset()
-    #             # input()
-    #             break
+            if done:
+                # print(env.ai.all_ids_to_move.keys())
+                # input()
+                print(f"{'won' if reward == 2 else ('tie-won' if reward == 0 else 'lost')}")
+                # print(env.ai.all_ids_to_move.keys())
+                observation = env.reset()
+                # input()
+                break
 
-    # print(f"Starter won {env.starter_won / env.games_played * 100:.2f}%")
-    # env.close()
+    print(f"Starter won {env.starter_won / env.games_played * 100:.2f}%")
+    env.close()