cee92691ad858952b4ed46c08cad6cc682868d22,gym/spaces/box.py,Box,__init__,#Box#Any#Any#Any#Any#,16

Before Change

            assert np.isscalar(low) and np.isscalar(high)
            low = low + np.zeros(shape)
            high = high + np.zeros(shape)
        if dtype is None:  // Autodetect type
            if (high == 255).all():
                dtype = np.uint8
            else:
                dtype = np.float32
            logger.warn("gym.spaces.Box autodetected dtype as {}. Please provide explicit dtype.".format(dtype))
        self.low = low.astype(dtype)
        self.high = high.astype(dtype)
        super(Box, self).__init__(shape, dtype)
        self.np_random = np.random.RandomState()

After Change

            assert np.isscalar(low) and np.isscalar(high)
            self.shape = tuple(shape)
            self.low = np.full(self.shape, low)
            self.high = np.full(self.shape, high)
            low = low + np.zeros(shape)
            high = high + np.zeros(shape)
        self.low = self.low.astype(self.dtype)
        self.high = self.high.astype(self.dtype)

Instances