def imagej_shape(shape, rgb=None):
 shape = tuple((int(i) for i in shape))
 ndim = len(shape)
 if (1 > ndim > 6):
  raise ValueError('invalid ImageJ hyperstack: not 2 to 6 dimensional')
 if (rgb is None):
  rgb = ((shape[(-1)] in (3, 4)) and (ndim > 2))
 if (rgb and (shape[(-1)] not in (3, 4))):
  raise ValueError('invalid ImageJ hyperstack: not a RGB image')
 if ((not rgb) and (ndim == 6) and (shape[(-1)] != 1)):
  raise ValueError('invalid ImageJ hyperstack: not a non-RGB image')
 if (rgb or (shape[(-1)] == 1)):
  return (((1,) * (6 - ndim)) + shape)
 else:
  return ((((1,) * (5 - ndim)) + shape) + (1,))

def imagej_shape ( shape , rgb = None ) : shape = tuple ( ( int ( i ) for i in shape ) ) ndim = len ( shape ) if ( 1 > ndim > 6 ) : raise ValueError ( 'invalid ImageJ hyperstack: not 2 to 6 dimensional' ) if ( rgb is None ) : rgb = ( ( shape [ ( - 1 ) ] in ( 3 , 4 ) ) and ( ndim > 2 ) ) if ( rgb and ( shape [ ( - 1 ) ] not in ( 3 , 4 ) ) ) : raise ValueError ( 'invalid ImageJ hyperstack: not a RGB image' ) if ( ( not rgb ) and ( ndim == 6 ) and ( shape [ ( - 1 ) ] != 1 ) ) : raise ValueError ( 'invalid ImageJ hyperstack: not a non-RGB image' ) if ( rgb or ( shape [ ( - 1 ) ] == 1 ) ) : return ( ( ( 1 , ) * ( 6 - ndim ) ) + shape ) else : return ( ( ( ( 1 , ) * ( 5 - ndim ) ) + shape ) + ( 1 , ) )
return shape normalized to 6d imagej hyperstack tzcyxs .