pararell enviroments on Windows raise overflow error " Python int too large to convert to C long "

[userman2213]

When I run the environment with parallel environments on my Windows device, I get an overflow error "Python int too large to convert to C long" in gymnasium\vector\vector_env.py, line 300, in _add_info info_array[env_num], array_mask[env_num] = info[k], True
after several iterations.
On my Linux device, this problem does not occur. After some research, I found out that Windows specifically uses 32-bit integers instead of 64-bit.

I have found a workaround that involves converting the INT type to an int64 type. However, I am not sure if this method is legitimate and if it might introduce further errors. Nonetheless, I have modified the def _init_info_arrays in vector_env.py as follows. Additionally, I am not sure if the source of the error lies in gym or in the TradingEnv or MultiDatasetTradingEnv.

def _init_info_arrays(self, dtype: type) -> Tuple[np.ndarray, np.ndarray]:
        """Initialize the info array.

        Initialize the info array. If the dtype is numeric
        the info array will have the same dtype, otherwise
        will be an array of `None`. Also, a boolean array
        of the same length is returned. It will be used for
        assessing which environment has info data.

        Args:
            dtype (type): data type of the info coming from the env.

        Returns:
            array (np.ndarray): the initialized info array.
            array_mask (np.ndarray): the initialized boolean array.

        """
        if dtype in [int, np.int64]:
            array = np.zeros(self.num_envs, dtype=np.int64)
        elif dtype in [float, bool] or issubclass(dtype, np.number):
            array = np.zeros(self.num_envs, dtype=dtype)
        else:
            array = np.zeros(self.num_envs, dtype=object)
            array[:] = None
        array_mask = np.zeros(self.num_envs, dtype=bool)
        return array, array_mask