ndio/remote/data.py
def get_volume(self, token, channel,
                   x_start, x_stop,
                   y_start, y_stop,
                   z_start, z_stop,
                   resolution=1,
                   block_size=DEFAULT_BLOCK_SIZE,
                   neariso=False):
        """
        Get a RAMONVolume volumetric cutout from the neurodata server.

        Arguments:
            token (str): Token to identify data to download
            channel (str): Channel
            resolution (int): Resolution level
            Q_start (int): The lower bound of dimension 'Q'
            Q_stop (int): The upper bound of dimension 'Q'
            block_size (int[3]): Block size of this dataset
            neariso (bool : False): Passes the 'neariso' param to the cutout.
                If you don't know what this means, ignore it!

        Returns:
            ndio.ramon.RAMONVolume: Downloaded data.
        """
        size = (x_stop - x_start) * (y_stop - y_start) * (z_stop - z_start)
        volume = ramon.RAMONVolume()
        volume.xyz_offset = [x_start, y_start, z_start]
        volume.resolution = resolution

        volume.cutout = self.get_cutout(token, channel, x_start,
                                        x_stop, y_start, y_stop,
                                        z_start, z_stop,
                                        resolution=resolution,
                                        block_size=block_size,
                                        neariso=neariso)
        return volume
def get_volume(self, token, channel,
                   x_start, x_stop,
                   y_start, y_stop,
                   z_start, z_stop,
                   resolution=1,
                   block_size=DEFAULT_BLOCK_SIZE,
                   neariso=False):
        """
        Get a RAMONVolume volumetric cutout from the neurodata server.

        Arguments:
            token (str): Token to identify data to download
            channel (str): Channel
            resolution (int): Resolution level
            Q_start (int): The lower bound of dimension 'Q'
            Q_stop (int): The upper bound of dimension 'Q'
            block_size (int[3]): Block size of this dataset
            neariso (bool : False): Passes the 'neariso' param to the cutout.
                If you don't know what this means, ignore it!

        Returns:
            ndio.ramon.RAMONVolume: Downloaded data.
        """
        size = (x_stop - x_start) * (y_stop - y_start) * (z_stop - z_start)
        volume = ramon.RAMONVolume()
        volume.xyz_offset = [x_start, y_start, z_start]
        volume.resolution = resolution

        volume.cutout = self.get_cutout(token, channel, x_start,
                                        x_stop, y_start, y_stop,
                                        z_start, z_stop,
                                        resolution=resolution,
                                        block_size=block_size,
                                        neariso=neariso)
        return volume
def get_volume ( self , token , channel , x_start , x_stop , y_start , y_stop , z_start , z_stop , resolution = 1 , block_size = DEFAULT_BLOCK_SIZE , neariso = False ) : size = ( x_stop - x_start ) * ( y_stop - y_start ) * ( z_stop - z_start ) volume = ramon . RAMONVolume ( ) volume . xyz_offset = [ x_start , y_start , z_start ] volume . resolution = resolution volume . cutout = self . get_cutout ( token , channel , x_start , x_stop , y_start , y_stop , z_start , z_stop , resolution = resolution , block_size = block_size , neariso = neariso ) return volume
Get a RAMONVolume volumetric cutout from the neurodata server.

        Arguments:
            token (str): Token to identify data to download
            channel (str): Channel
            resolution (int): Resolution level
            Q_start (int): The lower bound of dimension 'Q'
            Q_stop (int): The upper bound of dimension 'Q'
            block_size (int[3]): Block size of this dataset
            neariso (bool : False): Passes the 'neariso' param to the cutout.
                If you don't know what this means, ignore it!

        Returns:
            ndio.ramon.RAMONVolume: Downloaded data.
Get a RAMONVolume volumetric cutout from the neurodata server .