Fix up the ifname in env file.

envs/batched_env.py

 import aicrowd_gym
 import numpy as np
-from tqdm import trange
+
 from collections.abc import Iterable
 
 class BatchedEnv:
@@ -52,23 +52,15 @@ class BatchedEnv:
 
 if __name__ == '__main__':
 
-    def nethack_make_fn():
-        return aicrowd_gym.make('NetHackChallenge-v0',
-                         observation_keys=("glyphs",
-                                          "chars",
-                                          "colors",
-                                          "specials",
-                                          "blstats",
-                                          "message",
-                                          "tty_chars",
-                                          "tty_colors",
-                                          "tty_cursor",))
-
     num_envs = 4
-    batched_env = BactchedEnv(env_make_fn=nethack_make_fn, num_envs=num_envs)
+    batched_env = BatchedEnv(
+        env_make_fn=lambda:aicrowd_gym.make('NetHackChallenge-v0'), 
+        num_envs=4
+    )
+    
     observations = batched_env.batch_reset()
     num_actions = batched_env.envs[0].action_space.n
-    for _ in trange(10000000000000):
+    for _ in range(50):
         actions = np.random.randint(num_actions, size=num_envs)
         observations, rewards, dones, infos = batched_env.batch_step(actions)
         for done_idx in np.where(dones)[0]: